# Patent

## Title
System and market hedging and related method

## Abstract

A system includes a data collection module that collects data for a plurality of different types of tradable assets which may include tradable credit instruments or industrial minerals and rocks (IMR). A selection module selects specific types of tradable assets from sets of tradable assets based on the physical properties of the tradable assets, to thus generate sets of tradable assets. A benchmark generating module that generates tradable asset benchmarks indicating aggregate qualities of the sets of tradable assets. A tradable asset benchmark for a set of tradable assets is generated based on weighted averages of the physical properties of each specific tradable asset in the set of tradable assets. A communication module communicates the tradable assets benchmarks to traders, and receives orders for derivatives contracts from the traders, based on the tradable asset benchmarks. An order processing module processes an order for derivatives contracts based on differences between actual properties of the specific tradable asset to be physically delivered under the terms of an operative derivatives contract and the aggregate qualities indicated by an operative tradable assets benchmark.

## Background
CROSS-REFERENCE TO RELATED APPLICATIONS
This application is a continuation-in-part of U.S. Ser. No. 13/782,313, filed on Mar. 1, 2013 and presently allowed, which is in turn a continuation-in-part of U.S. Ser. No. 13/558,974, filed Jul. 26, 2012, which in turn claims the benefit of U.S. Provisional Application No. 61/513,792, filed on Aug. 1, 2011. The disclosure of the above applications are all incorporated herein by reference in their entireties in the present disclosure.


FIELD
The present teachings generally pertain to systems and methods for energy market hedging, and more particularly to systems and methods for facilitating and managing the trading of globally traded exchange traded derivatives (“ETDs”) relating to tradable asset, where the tradable asset may relate to a commodity such as industrial minerals and rocks (IMR”), including but not limited to fertilizers (e.g., potash and by-products), as well as other IMRs such as, but not limited to, phosphate, bauxite and graphite, or to tradable monetary assets represented by financial instruments focused on credit, cash or any other contractual right or obligation that has a value.
BACKGROUND
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
A present day substantive technical problem involves commodity “forward” trading in general, and the Exchange Traded Derivative (“ETD”) field in particular. Commodity “forward” trading, in general, represents a global market with currently outstanding notional values exceeding $4 trillion and annual turnover amounting to several times that level. The ETD field comprises about one fourth of the aforementioned market, but is poised for substantial growth if it can successfully attract commercial traders throughout the world, once the existing problem framed herein is solved.
Two platform types currently defining the prior art field allow commodities to be traded “forward” to hedge future production and consumption: 1) ETD platforms and “Over-the-counter (“OTC”) platforms. ETD platforms transparently execute contemporaneous bids and offers for a multitude of traders dealing primarily with standardized futures and options contracts. OTC platform deal with private agreements negotiated between market participants, with investment banks typically serving as intermediary market makers matching buyers and sellers. OTC agreements have more customized provisions than ETD contracts in order to satisfy the relatively complex demands of commercial counterparties (also known as “commercials”). But OTC platforms provide less in terms of counterparty credit protection and price discovery. More specifically, OTC agreements provide counterparties far less transparency over opaque private platforms and less fairness due to archaic value assessments published by price reporting agencies (“PRA”). Value assessment methodologies employed by PRA are labeled archaic because they merely track backward-looking samples of subscribers' already consummated spot/physical market transactions (per an “honor system” increasingly criticized by regulators around the world), rather than relying on fair market values openly generated by dynamic bids and offers contemporaneously executed and reported over a centralized exchange platform.
Each exchange serving the ETD market is typically supported by an adequately capitalized (and regulated) central counterparty (“CCP”) that matches buyers and sellers of contracts (the “counterparties”) and arranges for all payments and settlements attendant thereto. Under that support structure, counterparties do not incur direct credit exposure; thus, if a counterparty defaults on its ETD contract obligations, others are protected by the CCP. To maintain the viability of those arrangements while maximizing prospects for exchange trading volume and revenue growth, the conventional ETD contracts heretofore listed over centralized commodity exchanges have taken on the following characteristics:

    
    
        highly standardized; as a result, they are relatively inflexible and thus primarily appeal to those traders willing and able to be matched up with absolute opposite interests;
        specify one form of a denoted commodity to serve as a benchmark proxy for all forms of that commodity despite each among the plurality of forms commonly available having different quality and logistics characteristics; e.g., Brent and WTI are arbitrarily promoted as “global” crude oil benchmarks but they vary—in many cases substantially—from each other and most of the hundreds of other crude oil grades produced throughout the world; plus, this practice extends beyond the ETD field since PRA assessments referenced in OTC agreements are commonly based in one form or another on a conventional exchange-specified benchmark;
        virtually never settle by physical delivery because daily trading volume and open interest levels have reached such heights that they commonly exceed the underlying benchmark's production output by extremely high multiples; there would seldom if ever be sufficient supply to meet that level of demand; and
        specify delivery dates that are fixed, which presents big challenges for buyers and sellers of commodities (e.g., fuels) that require extensive logistical arrangements.
    
    


Whereas standardized ETD contracts are easily tradable (evidenced by the market's high-frequency trading conundrum) and virtually always result in trades being reversed for a cash pay-out prior to expiration, private OTC agreements are typically maintained to maturity, underscoring their use by commercial traders despite aforementioned disadvantages of using opaque private platforms, etc.
In light of the foregoing, ETD contract use has grown considerably more appealing to speculators than commercials. The ETD field is therefore in need of innovation that will incorporate flexibility and customization needed to attract and serve commercial interests looking to benefit from the added liquidity and depth transpiring from the ability to trade alongside speculators and financial investors. Otherwise, the ETD field will become so inundated with speculator trading that it will be relegated to mere “casino” status. Many market participants claim that day has already arrived and that the ETD field needs innovative remediation immediately.
In summary, the substantive technical problem impacting commodity “forward” trading is that neither platform defining the field (conventional ETD or OTC) sufficiently meets all of the relatively complex needs of commercial hedgers having the desire to:
physically deliver or take delivery of commodities that typically have varying quality and logistics characteristics, the differentials of which need to be reconciled, balanced and subjected to financial settlements fairly determined in the open market; and
match with counterparties having practically rather than absolute opposite hedging interests, thereby benefitting from the added market liquidity and depth transpiring from such arrangements without being exposed directly to counterparty credit risks [the latter having gained considerable visibility—e.g. a la Dodd Frank—in the wake of the global financial crisis].
Global Trading of Financial Instruments
The global trading of financial instruments, in particular, has posed challenges because, heretofore, no particular exchange or benchmark has existed for trading instruments representing tradable assets such as commodities or financial instruments having dissimilar quality and/or logistics attributes that might impact relative values. In this regard the following discussion will focus on tradable financial instruments representing assets such as potash and fertilizers, as well as tradable financial instruments relating to assets such as credit instruments, cash or contractual obligations or rights.
Tradable Financial Instruments Involving Assets Such as Pot Ash and Fertilizers
Various portions of the potash-related background information noted below was derived from Independent Chemical Information Service (“ICIS”), part of the Reed Business Information group. For additional details, one may refer to www.icis.com/fertilizers/potash/price-reporting-methodology.
Potash aka potassium (chemical element symbol: K) is the seventh most common naturally-occurring element in nature, one of three main macronutrients required for plants. Crucial for all living cells to function, potassium aids in energy metabolism and, as an essential ingredient in various fertilizers, is a key agent in the plant growth process, creating the following benefits such as, but not limited to: 1) activating enzyme functions; 2) processing vitamins; 3) guarding against drought and disease; and 4) improving nutrient qualities of crops by inter alia strengthening their roots, thereby enhancing crop stability and yields. Whilst fertilizers consume over 90% of global potassium production, there are also industrial uses for potash (e.g., production of potassium hydroxide, water softeners, de-icing salts, other salt compounds, fireworks, soaps, glass and biodiesels).
Elemental potassium does not occur in nature because it reacts violently with water. As one compound or another, potassium makes up  ̃2.6% of the weight of the Earth's crust. Some common rock formations contain potassium, such as orthoclase and granite. Large evaporate deposits from ancient lake and sea beds exist from which rocks are mined and then potash is extracted. Those rock formations include: Sylvite (KCl or potassium chloride); Sylvinite (KCl+NaCl or sodium chloride/haite); Carnalite (KMgCl or potassium magnesium chloride); Polyhaite; Kainite; and Laingbeinite.
Presently, the world's largest potash deposits are found in Canada and Russia, followed by Belarus, Germany, the Dead Sea (in both Israel and Jordan) and the U.S. The relative value of potash grades imported and exported is often reported in terms of their potassium oxide (K2O) equivalent content, which signifies the amount of potassium in fertilizer as if it were all in the form of potassium oxide.
Potash can be mined traditionally or by using more costly solution evaporation processes. Most potash mines today are deep shaft mines located as much as 4,400 feet (1,400 m) underground. Others are strip mined, having been laid down in horizontal layers as sedimentary rock. In above-ground processing plants, KCl is separated from the mixture to produce a high-analysis natural potassium fertilizer. Other naturally occurring potassium salts can be separated by various procedures, resulting in potassium sulfate and potassium magnesium-sulfate.
The most common potash fertilizer—muriate of potash (“MOP”)—comes in two formations: Standard MOP and Granular MOP. Standard MOP, used by relatively poorer countries for direct applications, is also used for chemical “NPK” production into various compound fertilizers that employ different nitrogen (N), phosphorous (P) and potassium (K) mixtures. Standard MOP is traded in larger volumes compared to granular MOP (noted below) because it's the potash of choice for two of the world's largest importers: India and China. For the most part, Standard MOP is traded according to the following terms:
FOB Vancouver;
FOB Dead Sea (Israel and Jordan);
FOB Baltic (Ventspils, Latvia);
CFR China (per contract prices);
CFR SE Asia (mainly Indonesia and Malaysia, as well as others); and
CFR India (note: India contracts tend to also be represented in the low range for FOB Baltic, Vancouver and Dead Sea prices).
Granular MOP, which tends to sell at a premium over standard MOP, is used in bulk blending for NPK production, as well as in direct applications in relatively wealthier countries using advanced soil fertilization methods. Granulation slows down absorption of fertilizer nutrients, prolonging their action. Granular MOP transactions typically take place according to the following terms:
FOB Vancouver—generally considered the “benchmark” of the group;
FOB Baltic (Ventspils, Latvia), albeit the bulk of granular MOP exported out of the Baltic goes to Brazil on CFR terms;
FOB Dead Sea (Israel and Jordan);
CFR Brazil; and
CIF within Northwest Europe.
The second most common potash fertilizer—sulfate of potash (“SOP”)—is a specialty product most frequently offered in granular form. Most SOP production methods require MOP to be used as a feedstock; thus, granular SOP sells at a premium over granular MOP.
SOP can be created by several methods, such as leaching, but for the most part is produced using the more traditional Manheim process, which calls for MOP to be treated with sulfuric acid. As such, changes in the price of MOP and sulfuric acid feedstock influence SOP prices. Following are different grades of SOP listed in the order of their relative cost—lowest to highest:
Standard grade SOP, which is most often used for direct application;
Granular grade SOP, which is predominantly used in bulk blending; and
Water soluble grade, which is used in specialized irrigation fertilizers.
Other formulations of potash include potassium nitrate (KNO3), potassium hydroxide (KOH) and potassium magnesium chloride (KMgCl aka carnallite). However, their trade volumes are relatively insignificant compared to MOP.
Producers of Potash and Fertilizers, their Customers and Logistics
Global potash production is concentrated in terms of both number of countries and companies in which it is produced, partly as a result of the location of potash reserves. Canada is the largest potash producer in the world (32% of 2011 global output), followed by Russia (19%), Belarus (16%), the Dead Sea (Israel and Jordan and Germany. On a company level, supply is even more concentrated, with the top five potash producers controlling over two-thirds of global supply belonging to one of two cartels.
Exports from Canada are coordinated through Canpotex, an international marketing & logistics company jointly owned by the Saskatchewan potash producers Potash Corporation of Saskatchewan, Inc., The Mosaic Company, and Agrium, Inc. The Potash Corporation of Saskatchewan, Inc. (“PCS”) is the world's second largest potash producer by output, with over 9 million metric tonnes shipped in 2011. Approximately one-half of this production went to North American customers. The Potash Corporation of Saskatchewan reportedly owns 54% of Canpotex. The Mosaic Company was launched in 2004 as a result of a merger between IMC Global (a fertilizer company whose origins date back to 1909) and Cargill's crop nutrition division. The Mosaic Company currently operates five mines, one in New Mexico and four in Canada, and is also the largest producer of finished phosphate products. The Mosaic Company reportedly owns 37% of Canpotex. Agrium, Inc. reportedly owns 9% of Canpotex.
As a competitive world supplier, Canpotex's logistics and delivery network employs bulk cargo vessels, storage facilities and thousands of specialized railcars catering to such foreign markets as Australia, Brazil, China, India, Indonesia, Japan, Korea and Malaysia. An extensive vessel chartering and brokerage network offers comprehensive ocean freight services to customers in those regions, enabling approximately 95% of all shipments to be transacted on Cost & Freight (“CFR”) basis. This provides Canpotex with the flexibility to combine cargoes (e.g., potash and sulphur) wherever possible to minimize ocean freight costs.
The Belarusian Potash Company (“BPC”), a joint stock company venture established in 2005 by Uralkali (Russian) and Belaruskali (Belarusian), is based in Minsk and supported by regional offices in New Delhi, Beijing, Singapore, Sao Paolo, Panama and Chicago. BPC supplies potash fertilizers to customers in Europe, India, China, Central and South America, U.S., Asia and Pacific, and Africa. During 2008, BPC's shareholdings were altered when Belarusian Railways acquired 5% of the company, thereby reducing Belaruskali's stake from 50% to 45%; Uralkali's 50% holding was left unchanged.
After months of rumors and denials that BPC was falling apart, it became official in July 2013 when Uralkali, the world's largest potash producer announced it would switch exports away from BPC to Uralkali Trading (its Swiss subsidiary) and abandon output limits that previously underpinned prices. Cooperation with its Belarus neighbor/partner ended because Belaruskali was reportedly undermining sales accords following an earlier Belarus government action, which cancelled BPC's exclusive right to export the nation's potash and fertilizer. After BPC's break-up, potash prices extended their earlier descent and volatility has intensified, which strengthens support for a centralized Global IMR e-Bourse to facilitate the hedging of potash and fertilizer price volatility.
Major shipments of MOP from Vancouver and Baltic (Ventspils, Latvia) into Brazil, India and China are shipped on Panamax vessels (>50,000 tonnes). Russian MOP products to the U.S. are shipped on Panamax, as well as Babymax (35,000 to 40,000 tonnes) and Handysize (15,000 to 35,000 tonnes; usually 25,000 tonnes). Most potash sold into Central and Latin America are Handysize cargoes, except for Brazil which often takes Panamax cargoes due to the size of its domestic market and high requirement for potash.
On occasion, product out of Ventspils and Chile (the latter shipped to Brazil) may involve combination cargoes with urea, usually on Handysize vessels. Dead Sea and Canadian MOP is generally never sold in combination cargoes and usually involve Panamax and Babymax vessels. German potash producers also send combination cargoes into Latin America, which contain a variety of potash, SOP and other salt fertilizer products.
SOP shipment volumes tend to be much smaller and generally involve bulk sales that are part (roughly 5,000 tonnes) of a bulk carrier, usually a Handysize. Water soluble grade SOP is usually packed in 25 kg bags loaded onto pallets placed inside containers in order to prevent water from impacting/ruining the product.
Pricing and Trading
At the present time, no centralized ETD platform exists to contemporaneously match buyers and sellers' orders of potash and related fertilizers using standardized conventional spot, futures and options contracts. As is customary in most major markets lacking centralized exchanges, “agency-assessed prices” are used to settle derivatives contracts and referenced in many physical market contracts.
ICIS, The Market quotes potash prices on a weekly basis worldwide on Thursdays and provides Market Updates on Mondays, Tuesdays, Wednesdays and occasionally Fridays covering the following:
Granular MOP, FOB Vancouver (stated in U.S. $ per metric tonne);
Granular MOP, CFR Brazil (stated in U.S. $ per metric tonne);
Granular MOP, FOB Israel/Jordan (stated in U.S. $ per metric tonne);
Granular MOP, CFR Southeast Asia (stated in U.S. $ per metric tonne);
Granular MOP, CFR China (stated in U.S. $ per metric tonne); and
Bulk SOP, FOB Northwest Europe (stated in euros per tonne).
ICIS provides price assessments for the above based on information supplied by market participants through the week up to the close of business on Thursdays at 17:00 hours in London. It should be noted that assessments by price reporting agencies (“PRAs”), such as ICIS, have come under increasing scrutiny by government regulatory bodies, market participants and the public at large. According to a Dec. 12, 2012 article published on pages 38-39 of the International Energy Agency (“IEA”) Oil Market Report (focused on natural gas and oil prices but can arguably be applied to any market void of a centralized exchange) titled Commodities: Extending Principles for Price Reporting Agencies to All Assessments—excerpts provided below:
Allegations of price manipulation in UK wholesale natural gas prices by major power companies and financial institutions could not have come at a worse time for PRAs. Less than a month after IOSCO's publication of principles for oil price reporting agencies, a price reporter at energy-industry data provider ICIS went public with the charge that natural gas prices are regularly manipulated by physical and financial traders, and that prices assessed by PRAs do not accurately reflect the underlying physical market. Furthermore, he argued that poorly trained price assessors often developed close relationships with traders, which led them to routinely engage in Libor-style price fixing exercises. Immediately following these allegations, UK Financial Services Authority (FSA) and energy regulator Ofgem launched investigations into the claims.
Market participants have long claimed that selective reporting by traders and inconsistent methodologies used by PRAs can distort reported prices. These concerns were the basis of a report published by IOSCO in early October, to which the IEA, OPEC and the IEF, responding to a request from the G20, provided input. The report suggested that “ability to selectively report data on a voluntary basis creates an opportunity for manipulating the commodity market data that are submitted to PRAs” and “the need for assessors to use judgment under some methodologies creates an opportunity for the submitter of data to deliberately bias a PRA's assessment in order to benefit the submitter's derivatives positions.”
In order to enhance reliability of oil price assessments that are referenced in derivatives contracts subject to regulation by its members, IOSCO set forth a set of principles—a framework of best practices—for the PRAs to follow. IOSCO proposed, in collaboration with the IEA, IEF and OPEC, to review the implementation of said PRA principles after 18 months. If implementation is ineffective, there may be further recommendations.
PRAs initially argued that they are basically news agencies and they are simply using their freedom of expression rights, therefore they cannot be subject to such rules. IOSCO overcame this objection by restricting these principles to be applied only in price assessments referenced in oil derivatives contracts. Practically, they recommended that “market authorities consider whether to prohibit trading in any oil derivatives contract that references a PRA-assessed price unless that assessment follows the PRA principles.” It is a rather indirect way to force PRAs to adopt such rules. Instead of losing their customer basis, PRAs are expected to adopt these proposed principles.
While a step forward, these principles still do not fully address the problem of selective price reporting. Since traders are not required to submit trade data to PRAs, there is a risk that voluntary reporting could result in selective reporting and thus seriously compromise the integrity of price assessment. Therefore, it is arguably quite important to allow PRAs to use more information than merely concluded transactions when making price assessments. Exclusive reliance on concluded transactions can lead to inaccurate price assessment if submitted prices are false or manipulated. Thanks to use of other market information, PRAs can check the accuracy of submissions or assess whether submitted prices truly reflect the market place. Demanding traders who chose to voluntarily submit data to provide all of their market data in order to prevent selective reporting is not the answer. Given the voluntary nature of trade reporting, asking traders to submit all of their trade data amounts to an “all or nothing” policy which runs the risk of effectively discouraging price reporting and drastically limiting the pool of information available to PRAs, thereby adversely affecting the reliability of their reports. As long as the submission of data is voluntary, there is a strong risk that such “all or nothing” policy could end up fatally disrupting the flow of information from submitters to PRAs.
Another weakness in these principles has to do with complaint-handling. While they do call for a formal complaint-handling policy, the principles stop short from requiring disclosure of complaints to market participants. The principles require PRAs to advise plaintiffs and any other relevant parties of the outcome of an investigation in the event of a formal complaint. Disputes regarding a daily pricing determination will be communicated to the market only when a complaint results in a change in price. However, if the aim of these principles is to increase transparency in price assessment, it may be argued that they should have called for an immediate announcement of all accepted formal complaints to market participants, similar to announcements of trade errors occurring at exchanges. Furthermore, the principles called for recourse to an independent third party review of complaints if the plaintiff is dissatisfied with the way a complaint has been handled by the relevant PRA. However, the principles require that the independent third party be appointed by the PRA itself. Giving the right to appoint the third party to the PRA to review its own decision clearly creates a conflict of interest and undermines the independence of the external review. To ensure an independent review process, the appointment of the third-party reviewer should be jointly handled by the PRA and industry stakeholders.
It is important to note that PRAs deliver more than just news. Their assessed prices are used not only in settlement of oil derivatives contracts but also in other derivatives contracts, including but not limited to natural gas and refined products. These assessed prices are also referenced in many long-term physical market contracts. The recent allegations of price-fixing in UK wholesale gas prices show the importance of reliable price assessments. Therefore, the principles developed for oil price assessments that are referenced in derivatives contracts should be universally adopted by PRAs for any price assessment activities.
ETDs Related to Fossil Fuels
Historically, the prices of a large number of fossil fuels such as crude oils and refined products have been set either by oil producing countries or determined by the spot market. The Organization of Petroleum Export Countries (OPEC) official selling price system for all intents and purposes ruled the crude oil market from the early 1970's to 1985. Under the OPEC price system, most crude oil sales were transacted as part of long-term contracts having fixed prices and volumes, with price adjustments made infrequently. However, over the years, more crude oil trade has taken place using spot and futures prices and contract sales have entailed shorter durations and more flexible terms.
Spot pricing has become widely accepted in energy markets since the U.S. opted to deregulate energy prices about 30 years ago. Under the spot pricing system, many different crude oil prices are set differentially to the price of one or more benchmarks. Crude oil benchmarks (also known as “markers”) were introduced in the mid 1980's. Most term contracts are now linked to the spot prices of benchmark crude oils, rather than priced at an outright level.
The use of futures and options contracts for energy commodities became more popular in the 1980's, more than a century after commodity exchange trading commenced in the U.S. and Europe. Futures contracts enable owners of assets to obtain price protection against adverse price movements. The buyer is obligated to purchase an asset (or the seller to sell an asset) at a predetermined future date and price. Futures contracts specify the quality and quantity of the underlying asset and are standardized to facilitate trading on exchanges that are typically registered with and regulated by one or more governmental organizations.
While holders of futures contracts are obligated to buy or sell the underlying asset at expiration, an options contract gives the holder the right to buy or sell. Thus, options can be a used as means to hedge futures contracts.
Whereas futures and options contracts are traded over a centralized exchange, another form of hedging involving use of over-the-counter (OTC) derivatives agreements has gained popularity, albeit amid mounting controversies and closer scrutiny from government regulators, as well as the population at large. OTC derivatives are bilateral contracts whereby two parties agree on how a particular trade is settled in the future, with the three most common contract types being:
Forwards: agreements to exchange at some fixed future date a given quantity of a physically delivered commodity for a currently defined price.
Swaps: financial agreements settled by cash rather than any transfer of the underlying commodity, which provides price protection for an agreed quantity of a commodity on an agreed future date (usually greater than one month but less than two years after the trade date).
Spreads: agreements designed to allow producers to lock in differentials between commodity prices at different times (“calendars”) or between different commodities (“cracks”); in either case, the purchaser/producer pays a pre-agreed fixed spread level in exchange for a floating spread level obtained from the provider in transactions that are usually financially settled.
Most OTC derivatives involve the use of intermediary banks, rather than any centralized exchange, to serve as counterparties matching buyers with sellers. In the process of becoming prominent (if not dominant) OTC derivatives dealers, some of the world's largest banks stand accused of making markets that lack transparency (i.e., in terms of price discovery, volume and counterparty risk) in order to generate large profits at the risk of incurring major losses in the event that counterparties fail to honor their committed trade obligations.
OTC derivatives drew heavy criticism in the aftermath of the Enron scandal of about 2001 and more recently came under even closer scrutiny as the unbridled proliferation of Credit Default Swaps and other OTC instruments led to the demise of Bear Stearns, Lehman Brothers, AIG et al, as well as the ensuing financial crisis that morphed into the Great Recession. As a result, several regulatory initiatives have emerged globally to alter the future of OTC derivatives use. The goal of these regulatory initiatives is to ensure that private contracts between counterparties will become transparent instruments settled by central clearinghouses imposing stricter margin policies to enhance credit risk management and publish more fulsome order, price and volume data.
Major regulatory initiatives on the docket include the Dodd-Frank Wall Street Reform and Consumer Protection Act and similar measures being pursued outside the U.S.; more rigorous capital, leverage and liquidity standards from the Basel Committee on Banking Supervision; and International Financial Reporting Standard No. 9 promulgated by the International Accounting Standards Board. The initiatives call for, inter alia, substantial changes in classifying and measuring financial instruments, the wider use of “mark-to-market” rules and increased hedge accounting and disclosure requirements, as well as for the instruments to be centrally cleared and settled by qualified clearinghouses imposing margin rules. In all likelihood, such initiatives will intensify regulatory capital pressures on banks and affect the ability of, and the means by which, banks maintain their liquidity. As a result, some banks will undoubtedly be curtailed if not precluded from dealing in OTC derivatives and in that process the types traded in the past may become less liquid and thus less attractive to trade.
In most cases involving exchange-traded energy futures and options, as well as OTC derivatives, benchmarks indicate crude oil quality and geographic location. They are useful referencing tools for buyers and sellers because there are so many varying grades of crude oil produced throughout the world. According to the International Crude Oil Market Handbook published by the Energy Intelligence Group, there are around 200 crude oil blends produced in 46 countries, all varying in terms of characteristics, quality and market penetration. Following are the most common crude oil benchmarks used in global commerce:
West Texas Intermediate (WTI) is light sweet crude oil with 39.6° American Petroleum Institute (API) gravity, 0.24% sulfur content and a delivery point in Cushing, Okla. (USA). Although WTI is a U.S. grade of crude oil, it has attained global benchmark status, inter alia because WTI futures and options contracts amassed substantial trading volume gains in the past decade or so from speculators and financial investors around the world. In addition to being a spot market bench-mark, WTI futures and options trade in denominations of 1,000 barrels per contract at the CME Group Nymex (formerly New York Mercantile Exchange) and at the Intercontinental Exchange (ICE) in London.
Brent is comprised of five (5) light sweet crude oil grades with blended API gravity of 38.06° and 0.37% sulfur content. Sourced from the North Sea and refined mostly in NW Europe, Brent is also touted as a global benchmark, in particular for large tanker shipments heading west to North America from Europe, Africa and the Middle East. Brent futures and options are primarily traded at the ICE in denominations of 1,000 barrels per contract. Prior to September 2010, there were typically fairly small WTI-Brent price differentials (+/−$3 per barrel, with WTI usually exceeding Brent due to higher quality API gravity and lower sulfur content). However, in late 2010, differentials diverged from the previous norm, expanded and eventually exceeded $18 per barrel in March 2011—with Brent exceeding WTI—due to a variety of factors detailed later herein, all of which has prompted concerns about the extent to which Brent and WTI will be able to maintain their status as global benchmarks.
DME Oman Crude Oil futures and options are listed at the Dubai Mercantile Exchange (DME; a collaborator and affiliate of the CME Group), traded in denominations of 1,000 barrels per contract and specified as having API gravity of 31.0°, 2.0% sulfur content and a delivery point in Oman. DME was launched in June 2007 with a goal to bring about fair and transparent price discovery and efficient risk management to the East of Suez market, considered the fastest growing commodities market and largest crude oil supply and demand corridor in the world. DME Oman Crude Oil is the explicit and sole/official selling price benchmark for Oman (output of 812,000 barrels per day or bpd) and Dubai (output of 54,000 bpd but in decline), which have purportedly been viewed (at least by the DME) as markers for heavy sour ME crude oil grades exported to the Asia-Pacific region. However, due to some limitations associated with inter alia an Oman delivery point and the relatively small output of marker oil fields in Dubai and Oman, the average daily volume (ADV) of DME Oman Crude Oil futures and options contracts are arguably well below the levels reasonably expected for a viable global (or even regional) benchmark, to the point such that, as of the end of 2009, the CME Group elected to write off the $28.6 million carrying value of its investment stake in the DME because it was impaired.
Argus Sour Crude Index (ASCI) is listed at the CME Group's Nymex and the ICE. ASCI is based on three medium sour Gulf of Mexico crudes (Mars, Poseidon and Southern Green Canyon) with a blended average of 29.3° API gravity and 2.03% sulfur targeted for processing by U.S. Gulf Coast refineries. So far, ASCI has been adopted as a benchmark (subject to a myriad of differential adjustments) for spot market sales by Saudi Aramco and Kuwait Petroleum (in 2009) and Iraq's Somo (in 2010). ME crude oils priced against ASCI include Arab Extra Light, Arab Light, Arab Medium, Arab Heavy, Kuwait Export Blend, Basrah Light and Kirkuk. While ASCI might well be more suitable than the light sweet WTI and Brent benchmarks for spot markets and long-term contract arrangements negotiated by ME exporters with U.S. Gulf Coast refineries, ASCI pricing and other methodology (see www.argusmedia.com/methodology) is arguably too cumbersome to generate efficient futures and options contract trading on a wider global scale, especially in connection with ME exports to East of Suez markets, which inter alia include India, Singapore, Hong Kong, China, Taiwan, South Korea and Japan.
Urals is a reference oil brand used as a basis for pricing a principally Russian export oil mixture (specified with 31.8° API gravity and 1.35% sulfur) extracted from the Urals and Volga regions along with lighter crude oils from Western Siberia. It is supplied through the Novorossiysk pipeline system and over the Druzhba pipeline. Urals futures trade on the Russian Trading System (stock exchange), as well as at the CME Group's Nymex, where it is known as Russian Export Blend Crude Oil (REBCO). While Urals are not yet material to the context of this hedging apparatus, they are nonetheless noted due to the planned increase of crude oils to be exported from Russia to China over the newly opened ESPO (Eastern Siberia to Pacific Ocean) pipeline delivering Russian oil to energy hungry China.
In assessing the benchmarks noted above, it becomes clear that, for all intents and purposes, the CME Group's Nymex and the ICE, along with their affiliated exchanges around the world, enjoy a virtual duopoly in the global crude oil futures and options trading arena, as currently shaped. Perhaps more than anything else, this reflects the fact that WTI and Brent are prime light sweet crude oils coveted by highly regulated refineries for their low sulfur content and efficiency in generating high quality refined products. Compared to ME crudes having relatively lower API gravity and higher sulfur content, WTI and Brent are much easier to refine into cleaner gasoline (generally 30 ppm sulfur content) and diesel (generally 10-15 ppm sulfur called ultra-low-sulfur or ULSD) fuels mandated by U.S., West European and other (OECD) government environmental protection agencies (EPAs).
However, that model is not practicable for the rest of the world, where sulfur levels in gasoline and diesel fuels often amount to 500 ppm in major developing countries and several thousand ppm in others. Huge investments would be required for those countries to substantially change over (or build new) refineries to implement cleaner engine, fuel and emission control programs, which could take decades to rationalize and fund. That assumes it would even be feasible or affordable to do so, at all, since the light sweet crude oil phenomenon known as Peak Oil (discussed more fully later herein) lurks in the background. In that event, creating even greater (non-OECD) demand for light sweet crude oil resources would likely cause hyper-inflation on a global scale capable of crashing most, if not all economies. That approach seems foolish, even wasteful, considering that there are much larger (and growing) reserves of relatively heavier and sour crudes that can be tapped well into the future.
WTI and Brent futures and options traded at CME Group's Nymex and the ICE have appealed to Western/OECD buyers and sellers, especially those indulged speculators who have skyrocketed their open interests while creating volatile/spiraling prices via high frequency trading programs that demand trade execution speeds of single digit milliseconds (and headed for microseconds), thereby driving ADV to record heights. WTI and Brent have also been tolerated in the past by ME exporters and their customers wanting to hedge but lacking better alternatives. In doing so, they have resorted to complex Platts and Argus (specialist energy publishers) assessment-based OTC derivatives, often using one or the other as their benchmark but requiring numerous differential adjustments, an overly complex and increasingly inefficient exercise due inter alia to increasingly apparent flaws with these benchmarks.
As mentioned above, the WTI-Brent spread has gone from being relatively tight to a scenario whereby WTI now sells at a considerable (often $10+ per barrel and recently $18+ per barrel) discount to Brent, even though WTI is higher quality crude and it costs extra to ship Brent to the U.S. This anomaly may be attributed to several factors.
First, having WTI's delivery point in Cushing, Okla., is limiting and storage has become problematic, even though capacity has steadily been raised to handle an influx of Canadian crudes coming in via pipeline, along with the new oils produced in North Dakota that have caused aggregate U.S. crude output to just increase for the first time in 23 years. Because it is easier to move oil from major producing regions to Cushing than to move oil from Cushing to refineries (especially U.S. Gulf Coast refineries that also import ME crudes) and consumers, the supply bottle-necks being created there are not expected to go away any time soon. WTI prices are expected to remain in a substantial discount mode (to Brent) and thus be less appealing to traders of ME crude oils.
Further complicating matters, North Sea oil production is declining while European and Asian (especially Chinese) demand for diesel and other distilled products has increased. It should be noted that, whereas WTI tends to generally be more favorable for gasoline products, Brent generally tends to favor production of diesels and other distillates. Thus, added distillate demand for Brent in the face of lower North Sea production has caused supplies to decline and prices to rise. Adding to the fray is the recent turmoil in Africa (especially countries with desirable low sulfur crudes, such as in Libya) and the ME that will not likely be resolved any time soon and could grow worse, all of which currently tends to be reflected more in Brent prices than WTI. The bottom line is that WTI and Brent each have exposed flaws that are causing traders to question their viability as global benchmarks, especially as it relates to crude oils produced in the ME.
It is generally recognized that market prices of so-called “landlocked” crude oil have become increasingly impacted by qualitative factors other than API gravity and sulfur content. This particularly holds true in North America (NA) where production levels have surged in the last few years and are projected to continue to increase. The relative geographic location of producer wells and terminal facilities on one hand versus customer refineries on the other, plus a slew of logistics challenges converging midstream to create bottlenecks, have spawned intermodal permutations, including those pertaining to inter alia pipeline, boat, rail and/or truck solutions, each of which is integral to current market dynamics, thus generating substantial price differentials. Such factors lend support for novel hedging instruments, such as those originally specified in the Parent Application and advanced herein, to help market participants better manage risks of price movements in the future.
The crude oil market in NA is undergoing enormous change. Structural shifts resulting from U.S. light sweet oil shale plays at Eagle Ford (below much of South and East Texas) and Bakken (below parts of Montana, North Dakota and Canada's Saskatchewan province), as well as a growing influx of Canadian oil grades competing for strained (albeit gradually growing) storage and transportation infrastructure in the U.S., have caused significant price dislocations leading to calls for greater market transparency.
According to industry experts, such structural shifts will likely prompt pricing alternatives to West Texas Intermediate (WTI), which until quite recently was NA's singular crude oil benchmark for all intents and purposes. The convergence of such factors as rising Canadian and Bakken production, in tandem with pipeline capacity shortages within the crucial midcontinent to U.S. Gulf Coast (USGC) corridor, have steadily weakened WTI prices the past couple of years versus those for USGC domestic grades and the major international waterborne blend, Brent. Already, there are cases involving the referencing of Eagle Ford sales to Louisiana Light Sweet crude prices.
It remains desirable to provide more alternatives for cases dealing with landlocked crude oil delivered to designated (principally refinery) destinations via intermodal permutations involving inter alia storage terminal, pipeline, boat, rail and/or truck solutions.
SUMMARY
In light of the above, the timing is now ripe for new benchmarks, indexes and attendant exchange policies and technologies that are correlated with a wide form of tradable assets that include both industrial minerals and rocks (IMR) and various forms of credit instruments.
The various embodiments presented herein posit concrete technical solutions aimed at remediating the afore-stated problem within the parameters of the ETD field.
The novel benchmark set system and method of the present disclosure is designed to work synergistically with a set of complementary index contracts so as to fairly/transparently value typical quality and logistics variability attendant to physically deliverable commodities listed for trade via EFP contracts, with all of the contracts being executable over a centralized platform serving a multitude of diverse trading interests (especially commercials) throughout the world. Below are just some of the more salient benefits of the technical solution delivered by the synergistic embodiments of described herein.
The system and method of the present disclosure overcomes a major shortcoming of conventional ETD platforms: inflexibility resulting from standardized contracts linked to exchange-proxy benchmarks viewed by many participants in the field as too arbitrary and flawed when employed as “global” proxies. Consequently, conventional ETD platforms are often forsaken because they are too limiting for commercial traders that require a greater degree of customization to deal with relatively complex quality and logistical factors impacting the normal course of negotiating prices for non-benchmark commodity transactions. When the embodiments of the present system and method meld as uniquely designed, they substantially improve the technical breadth and flexibility of the ETD field in particular, and commodity trading in general (especially as related to the energy sector).
The system and method of the present disclosure also retains the major benefits of conventional ETD: counterparty credit protection afforded by use of a CCP and order execution transparency that generates greater market liquidity and depth, thus enhancing the price discovery process, all afforded by use of the Exchange's centralized trading platform.
The system and method of the present disclosure employs state-of-the-art IT systems in unprecedented fashion: computer processors and algorithms concretely defined herein enable the Exchange and counterparties to deal with complexities inherent to integrating a synergistic set of ETD instruments (i.e., novel EFP benchmarks and complementary indexes) designed for contemporaneous trading in the open market. Counterparties in need of flexible hedging instruments centered round physical delivery can thus obtain a level of customization comparable to (even exceeding) that offered by privately negotiated OTC agreements—without the aforementioned disadvantages attendant to OTC platforms. Without the technological bandwidth provided by this Invention's customized processors and algorithms, it would not be possible to adequately serve the wide range of neglected commercial trading interests around the world heretofore unable (due to the dearth of available counterparties having absolute opposite trading interests, a factor limiting both ETD and OTC prospects) to embrace ETD as an effective means of commodity hedging.
To recap, below is the present disclosure's multi-faceted technical solution:
Maintain substantive contract standardization while improving ETD platform breadth and flexibility via delivery of a state-of-the-art computerized system for commodity market hedging and related method of uniformly matching a diverse range of counterparties having practically (rather than absolute) opposite hedging interests predicated on physical delivery. Fair market value settlements of the counterparties' offsetting quality and logistics differentials created by such matching are paid or received as a result of transparent price discovery occurring over a liquid and deep ETD platform that executes bids and offers of EFP contracts specifying accommodative benchmark sets designed for synergistic integration with complementary indexes customized by common denominators aimed at reconciling and balancing the aforementioned differentials, as explained more fully below:
First, no benchmark defined by this Invention will be comprised of any single commodity form closely specified to enhance the Exchange's trading prospects as a proxy for all forms (e.g., in the manner that WTI and Brent crude oil are exploited by the Nymex and the Intercontinental Exchange, respectively). Rather, the systems and methods of the present disclosure set forth concrete benchmark limitations relating to a plurality of operations defined (in the case of fuel commodities) by priority U.S. application Ser. No. 13/558,974.
Second, an order processing module facilitates integrated execution of ETD contract bids and offers tied to operative benchmark sets and complementary differential indexes associated with each EFP contract, resulting in traders paying or receiving additional compensation for quality and logistics differentials between the benchmark-specified and actual grades of the physical commodity delivered or received, as the case may be, as of the EFP contract's settlement date.
The teachings herein further consider and address logistical and financial factors unique to landlocked crude oils, including but not limited to those produced in NA, and/or those that are correlated with cultural, geopolitical, environmental, logistical and financial factors unique to developing countries that must tolerate a wider quality range of petroleum products to power economic growth than developed (OECD) nations that are seemingly committed at virtually any cost to EPA initiatives requiring mandated ultra-low-sulfur (ULS) fuels.
The drivers of this novel energy hedging system are crude oil and refined product benchmarks noted below alongside certain relevant information obtained from the Energy Intelligence Group's 2010 study titled Crude Oils and their Key Characteristics: 
Middle East Weighted Average (MEWA) Extra Light Crude Oil yielding a weighted average blend API gravity of 39.66° and sulfur content of 0.99%, comprised of the following:
Saudi Arabian Extra Light (API gravity of 39.5° and sulfur of 1.07%);
Abu Dhabi (UAE) Murban (API gravity of 39.6° and sulfur of 0.79%);
Abu Dhabi Umm Shaif (API gravity of 36.5° and sulfur of 1.39%);
Abu Dhabi Zakum (API gravity of 40.9° and sulfur of 1.03%); and
Qatar Dukhan (API gravity of 41.1° and sulfur of 1.22%).
MEWA Light Crude Oil yielding a weighted average blend API gravity of 33.15° and sulfur content of 1.69%, comprised of the following:
Saudi Arabian Light (API gravity of 33.0° and sulfur of 1.83%);
Iran Light (API gravity of 33.4° and sulfur of 1.36%);
Oman (API gravity of 33.0° and sulfur of 1.14%);
Abu Dhabi Upper Zakum (API gravity of 34.0° and sulfur of 1.89%);
Qatar Marine (API gravity of 32.7° and sulfur of 1.47%);
Iran Lavan Blend (API gravity of 35.2° and sulfur of 1.78%);
Iran Sirri Island (API gravity of 33.3° and sulfur of 1.79%); and
Iran Daroud (API gravity of 32.8° and sulfur of 2.90%).
MEWA Medium Crude Oil yielding a weighted average blend API gravity of 29.75° and sulfur content of 2.49%, comprised of the following:
Saudi Arabian Medium (API gravity of 30.5° and sulfur of 2.56%);
Kuwait Export (API gravity of 30.5° and sulfur of 2.60%);
Iran Foroozan (API gravity of 30.1° and sulfur of 2.31%);
Iraq Basrah (API gravity of 30.2° and sulfur content of 2.52%);
Fateh Dubai UAE (API gravity of 30.4° and sulfur of 2.13%);
Iran Heavy (API gravity of 29.5° and sulfur of 1.99%);
Khafji Neutral Zone (API gravity of 28.5° and sulfur of 2.85%);
Qatar Al-Shaheen (API gravity of 28.0° and sulfur of 2.37%);
Saudi Arabian Heavy (API gravity of 27.6 and sulfur of 2.94%);
Unleaded gasoline (95 RON) with 500 ppm sulfur content;
Gasoil (diesel fuel) with 500 ppm sulfur content; and
Heavy fuel oil (HSFO 180) with 35,000 ppm sulfur content;
Crude oil is a myriad of organic compounds that vary from one oilfield to another. Carbon and hydrogen typically make up over 95% of crude oil content. Crude oil is classified inter alia as paraffinic, napthemic, aromatic or asphaltic based on their proportion of hydrocarbon series molecules, a key indicator of their physical and chemical properties. Remaining crude oil content is typically made up of sulfur (often ranging from 0.25%-3.00%), as well as nitrogen, oxygen, metals and salts (<1% for each). The exact composition determines the product mix obtainable from the crude oil and its relative ease of being refined. Each refiner's valuation assessment tends to be relatively unique, depending on the refining technology it employs.
Crude oil quality is best determined by an assay test, which provides volumetric and weight yields of standard distillation fractions expected when the oil is refined into products such as gasoline, diesel fuel, kerosene and jet fuel, as well as non-vaporized residuals usable as fuel oil. Assays indicate key characteristics of raw crude oil, including gravity, sulfur content, viscosity, pour point and volatility. The energy market hedging system described herein is principally focused on the variability of API gravity and sulfur content among crude oils produced at ME oil fields. As noted, they have a 13.5° API gravity differential (Qatar Dukhan versus Saudi Arabian Heavy) and 2.15% sulfur content differential (Saudi Arabian Heavy versus Abu Dhabi Murban).
API gravity, the most commonly used density scale, is a measure of how heavy or light any petroleum liquid is to water. The higher the API gravity number, the lighter the crude. Crude oils with low carbon, high hydrogen, and high API gravity tend to be rich in paraffin and yield greater portions of gasoline and light petroleum products. Although precise definitions vary according to the petroleum province and marketing circumstances, generally crude oil gravity under 20° is considered heavy; 20°-34° is considered medium and over 34° is considered light. All other factors considered equal, the higher the gravity, the greater the value of the crude oil.
Sulfur content, traditionally expressed in terms of a percentage or parts per million (ppm), is another important aspect of crude oil quality. All other factors considered equal, the greater the sulfur percentage, the lower the quality (and value) of the crude oil. Sulfur volumetrically reduces the Btu content of crude oil, is corrosive to refineries and pipelines and thus produces lower value products. As a general rule, heavy crude oils tend to have a greater proportion of sulfur because it binds easily to heavy molecules. The same is true for petroleum products with sulfur usually being concentrated in heavy fuel oils (residuals). However, it is not always the case, and it is not necessarily a linear relationship; thus, the percentage of any particular crude oil's sulfur content is usually cited along with its API gravity.
When considering the impact of quality on refiners' demands for particular crude oils and the prices they are willing to pay, it is important to understand that such demand is derived mainly from the value of the products the crude oil will produce, which essentially depends on the cost of refining that crude and the revenue stream expected from its refined products. Rising or falling refined product prices do not have a uniform impact on all types of crude oil. If gasoline prices rise or heavy fuel oil prices fall, there may well be an impact on relative crude oil prices. Certain product price adjustments cause some refiners to buy a lighter mix of crude oils as they seek to produce more gasoline and less heavy fuel oil. This, in turn, will likely cause the price differential between various grades of crude oil to change, with heavy crude oil prices selling at a greater discount to light crudes. Likewise, unexpected breakdowns in desulfurization equipment at key refineries can change the relative value of sour and sweet crudes.
In the last few decades, EPA regulations have impacted energy prices, essentially by causing the demand for light sweet crude oil to intensify. Businesses and governments in wealthy OECD countries have spent many billions of dollars on gasoline and diesel fuel desulfurization initiatives intended inter alia as technology enablers for clean new engines and emission control systems designed to reduce pollutants, especially particulate matter (PM), NOx and SO2. A classic example is what has occurred in connection with diesel fuels.
Sulfur levels in diesel fuels employed by highway and non-road vehicles were for a long time limited to 0.5% (5,000 ppm) per ASTM international standards. During the 1990's, fuel quality became more regulated by EPAs, with the first major move dropping the limit to a then “low” level of 0.05% (500 ppm), driven at the time by legitimate desires to reduce sulfur's impact on PM emissions, especially sulfate particulates in the form of tiny hydrated sulfuric acid droplets. Running parallel with fuel desulfurization initiatives were new engine technologies and diesel particulate filters (DPFs) designed to burn soot (uncombusted hydrocarbons) in the exhaust. In order to help compensate for the relatively low exhaust temperature profiles of vehicles caught in typical urban stop-and-go drive cycles, precious metal catalyzed DPFs were designed to lower soot ignition temperatures. Unfortunately, it is proven that catalyzed DPFs are vulnerable to sulfur poison, which required lowering sulfur content levels, ultimately way below 500 ppm.
According to the Diesel Emission Control—Sulfur Effects (DECSE) Project Summary of Reports produced for the U.S. Department of Energy (DOE) by National Renewable Energy Laboratory (www.nrel.gov/docs/fy02osti/31600.pdf), catalyzed DPFs are capable of eliminating 95% of PM when diesel fuel with 3 ppm (0.0003%) sulfur content is used, albeit that is a commercially rare fuel. However, PM reduction efficiency falls to 67% when 30 ppm sulfur fuel is burned and drops all the way down to 0% efficiency with 150 ppm level fuel. As sulfur levels go beyond 150 ppm, an increase in the counteractive conversion of SO2 gases to sulfate-laden PM takes place—reflecting the impact of high exhaust temperatures (favoring SO3 production) and presence of precious metal catalysts to oxidize SO2 gases—to the point where PM emissions more than double baseline levels when 350 ppm sulfur diesel fuel is employed.
Thus, the U.S. and other OECD countries have opted to mandate ULSD fuels (10 to 15 ppm), in essence to mitigate counteractive SO2 conversion and prevent catastrophic sulfur poison failure of expensive emission control systems using catalyzed DPFs. Because they are unable to rationalize or afford OECD-centric engines, emission control systems and ULSD fuel, most other countries around the world commonly employ fuels ranging from 350 ppm to several thousand ppm sulfur content.
OECD countries and businesses implementing the initiatives noted above spent many billions of dollars changing over refineries and pipelines to desulfurize and refine crude oil into compliant ULS fuels complementing new engines and emission controls systems. Unfortunately, those emission control systems not only remain vulnerable to sulfur poison failures but concerns have surfaced regarding their unintended adverse health consequences, e.g. toxic volatile ultrafine and nano-sized PM that nonetheless escape the tailpipes of clean new vehicles equipped with catalyzed DPF after-treatment systems, as reported by the Health Effects Institute on Mar. 14, 2011 in its report titled The Future of Vehicle Fuels and Technologies: Anticipating Health Benefits and Challenges (http://pubs.healtheffects.org/getfile.php?u=634). At a minimum, developing countries will “wait-and-see” what transpires from those issues while they assess the extent to which they could ever fund all the costs needed to implement similar measures.
In any event, whilst mandated fuel sulfur limits fell from 5,000 to 500 to ultimately 10-15 ppm, the ensuing demand for light sweet crude oil exacerbated Peak Oil fears that the world will be unable to affordably meet all of the energy needs of industrialized, as well as emerging and developing countries, seeking economic expansion. Peak Oil fears, along with the machinations of those indulged speculators spiking WTI and Brent ADV at CME Group's Nymex and the ICE, have instilled a strong “net-long” trading bias that is highly correlated with volatile and rising fuel prices, and indirectly linked with rising food prices caused by renewable fuels programs such as ethanol (corn) and bio-fuels (soy beans) designed to supplement/replace fossil fuels.
Extending beyond emission control measures focused on populated land mass areas, certain EPAs recently coordinated with the International Maritime Organization (IMO) to establish more stringent standards for oceangoing vessel (OGV) emissions. OGVs include inter alia passenger yachts, ships, and oceanliners, container ships, bulk carriers, ro-ro ships, reefers, crude oil, chemical and gas tankers, tug boats and naval vessels. OGVs carry about 90% of world trade (including two-thirds of all crude oil and refined products globally consumed) covering tens of trillions in tonne-miles per year. Although vessel owners consider their relative environmental footprints to be light compared to other transport modes, they indisputably emit massive amounts of air pollution as their engines burn heavy residual and distillate fuels with high sulfur content, often several thousand times that of ULSD fuels.
Effective Jul. 1, 2010, shippers started facing regulations to either burn fuels with lower sulfur content or install after-treatment solutions that represent sustainable alternatives to newly promulgated fuels by causing equivalent reductions in SOx/SO2 to help eliminate PM and other pollutants. Currently, OGVs inside designated Emission Controlled Areas (ECAs; generally within 200 miles of major coastal ports) must burn fuels containing less than 10,000 ppm sulfur, a limit that is scheduled to drop to 1,000 ppm in 2015. Elsewhere (on the high seas), the IMO called for OGV fuel sulfur limits to be reduced in January 2012 from 45,000 ppm to 35,000 ppm (or an after-treatment equivalent), then to 5,000 ppm in 2020, although the latter is contingent on the results of a fuel availability study to be completed in 2018.
Newly promulgated OGV fuels are expected to cost considerably more (60+% is already evidenced) than heavy fuel oils (residuals) hitherto employed, many of which are key byproducts of ME refiners. Their future adoption could further exacerbate Peak Oil concerns by impeding efforts to globally balance crude oil reserves, production and refinery output in an orderly fashion; ergo, the contingency associated with 2018 fuel availability study.
As expected, companies are actively vying to offer sustainable after-treatment solutions. So far, most come in the form of marine scrubber systems designed to exploit the natural buffering capacity of seawater to desulfurize OGV exhaust gases (SO2) and discharge the purportedly harmless effluent into the sea. Those and other technological developments, as well as more regulatory actions, are expected to create ongoing price volatility tied to sulfur content in the years ahead.
Barring major technological breakthroughs, most developing and lesser developed countries cannot afford (without considerable OECD subsidies) costs of implementing similar programs. However, as more sophisticated refinery capacity comes online in Asia and the ME later this decade and the next to process relatively heavier and sour crude oils, viable initiatives should emerge that are capable of reducing gasoline and diesel sulfur levels from several thousand to 500 ppm, if not lower, on a wider scale. Such developments will no doubt affect supply and demand for the varying grades of ME crude oils and thus create relative market price volatility.
Thus, the following complementary indexes have been designed to enable traders engaged over the attendant global energy exchange referred to hereafter as Global Energy e-Bourse or the “Exchange” to transparently trade quality/value differentials associated with API gravity and sulfur content:
Crude Oil API Gravity Value Index based on 1.0° differentials between the operative crude oil benchmark and the actual crude oil to be delivered in cases where futures contracts are settled by physical delivery (“EFP Futures”);
Crude Oil Sulfur Content Value Index based on 0.1% differentials between the operative crude oil benchmark and the actual crude oil to be delivered in cases where EFP Futures are traded;
Gasoil (Diesel Fuel) Quality Value Index based on 500 ppm differentials in sulfur content between the operative gasoil benchmark and the actual gasoil to be delivered in cases where EFP Futures are traded;
Residual (Heavy Fuel Oil) Quality Value Index based on 5,000 ppm differentials in sulfur content between the operative heavy fuel oil benchmark and the actual heavy fuel oil to be delivered in cases where EFP Futures are traded.
Tanker transit and warehouse lease rate indexes are also tied to this system. As noted above, OGVs carry two-thirds of all crude oil and refined products globally consumed. That is particularly the case for ME crude oils and refined products exported via tanker deliveries to customers located throughout the world, especially in the growing East of Suez market. The most common tanker vessels carrying ME cargo are (i) very large crude carriers (VLCC) hauling up to 2,200,000 barrels (320,000 DWT) of crude oil from the Arabian/Persian Gulf to the Louisiana coast (the only U.S. port area large/deep enough to handle VLCCs) and East of Suez markets; and (ii) Suezmax tankers, named for being the largest vessels able to transit the Suez Canal with full cargo loads (up to 1,100,000 barrels or 160,000 DWT of crude oil). Each vessel commonly carries several types or grades of crude and hulls are separated into up to 10 banks, allowing for multiple loads and discharges.
Shipping markets have grown ever-riskier as fluctuations in freight rates and ship prices have increased substantially in recent years. Various instruments currently exist to hedge those risks but seldom involve the relative transparency and security of a centralized commodity exchange. Instead, the OTC derivatives agreements typically entered into for risk management purposes often employ tanker brokers—intermediaries between ship owners and the charterers who use ships to transport cargo—that specialize in crude oil, gas, oil products or chemical tankers.
Since OTC derivatives now face new regulatory standards, the once-private contracts between tanker counterparties will likely be transitioned into more transparent instruments settled by central clearinghouses imposing stricter margin policies to enhance credit risk management and publish more fulsome order, price and volume data.
Recognizing these new demands, this invention's Global Energy e-Bourse provides the following tanker related indexes:
Tanker Transit Lease Rate Indexes (VLCC and Suezmax, respectively) facilitate the use of futures and options contracts designed to hedge or speculate as to future daily rates charged for tankers moving over the high seas in route to deliver their cargo. Those indexes can also be used in forward and swap agreements that will additionally trade at Global Energy e-Bourse.
Tanker Warehouse Lease Rate Indexes (VLCC and Suezmax, respectively) use futures, options, forwards and swaps to hedge or speculate as to future daily rates charged for tankers floating at sea to warehouse cargo inter alia with an expectation that it can be sold in the future at higher prices.
The present teachings provide a system for energy market hedging operative to manage adverse price movement risks faced by Middle East (ME) oil producers and refiners, as well as globally scattered parties purchasing, shipping, storing, processing and consuming varying grades of ME crude oil, gasoline, distillates and residual fuel oil, while offering authorized speculators potential profits from market price volatility.
The system comprises an all-electronic exchange platform executing orders over a secure web-based Cloud network dedicated to transparent trading of energy derivatives (inter alia futures, options, forwards, swaps and spreads) cleared and settled via physical delivery or cash payments facilitated by affiliated or independently contracted clearinghouses. The derivatives are linked to benchmarks and complementary indexes (including but not limited to those listed below) correlated with financial, logistical, geopolitical and environmental factors unique to developing countries employing a relatively wide range of petroleum quality grades conducive to practicably power economic growth, rather than ultra-low-sulfur fuels mandated by environmental protection regulators in developed countries advocating relatively stringent emission control standards and systems:
Middle East Weighted Average (MEWA) Extra Light crude oil;
MEWA Light crude oil;
MEWA Medium crude oil;
Unleaded gasoline (95 RON) with 500 ppm sulfur content;
Gasoil (diesel) with 500 ppm sulfur content;
Heavy fuel oil (HSFO 180) with 35,000 ppm sulfur content;
Crude Oil API Gravity Value Index based on 1.0° differential;
Crude Oil Sulfur Content Value Index based on 0.1% differential;
Gasoil (Diesel Fuel) Quality Value Index based on 500 ppm differentials in sulfur content;
Residual/Heavy Fuel Oil Quality Value Index based on 5,000 ppm differentials in sulfur content;
Gasoil Crack Spread (difference between specified volumes of 500 ppm Gasoil and MEWA Light Crude Oil);
Tanker Transit Lease Rate Indexes (VLCC and Suezmax, respectively); and
Tanker Warehouse Lease Rate Indexes (VLCC and Suezmax, respectively).
Further areas of applicability will become apparent from the description provided herein. The description and specific examples in this summary are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure.



DRAWINGS
The present teachings will become more fully understood from the detailed description, the appended claims and the following drawings. The details within the various views of the drawings will be understood to be drawn generally to scale.
FIG. 1 illustrates the trading exchange data flow patterns using a system for energy market hedging in accordance with the present teachings;
FIG. 2 depicts examples of data regarding various crude oils produced in the Middle East, which underlie the aforementioned crude oil benchmarks and are subject to change from time to time;
FIG. 3 is a functional block diagram of a system for energy market hedging in accordance with the present teachings;
FIG. 4 is a functional block diagram of a computing device;
FIG. 5 is a functional block diagram of a server for the system of FIG. 3;
FIG. 6 is a flowchart of a method for energy market hedging in accordance with the present teachings;
FIG. 7 is a flowchart illustrating a method for hedging IMR in accordance with the teachings of the present disclosure; and
FIG. 8 is a high level flow diagram illustrating how a Global Commodity e-Counter may be used to facilitate back-to-back order executions and contract settlements with affiliated exchanges.



DETAILED DESCRIPTION OF VARIOUS ASPECTS
The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses. It should be understood that throughout the drawings, corresponding reference numerals indicate like or corresponding parts and features. The description and any specific examples, while indicating embodiments of the present disclosure, are intended for purposes of illustration only and are not intended to limit the scope of the present disclosure.
Referring generally to FIG. 1, trading exchange data flow patterns are shown among various parties using one embodiment of a system 1 in accordance with the present disclosure for handling the trading of virtually any type of tradable financial instrument. In this regard it will be understood that the term “tradable financial instrument” encompasses any and all financial instruments used to trade commodities such as fuels extracted from various areas around the world, or industrial minerals and rocks (“IMR”) such as pot ash or fertilizers produced from various areas around the world, as well as financial instruments originating in various countries which represent credit, cash or any other financial right or obligation that has value. Thus, while the following description may be focused primarily around using the system 1 to handle the hedging of IMR, the use of the system 1 applies with equal force to the hedging of other types of financial instruments involving credit, cash or obligations or rights. With regard to IMRs, the specific IMRs that can be used in connection with the claimed system and method, but rather are just illustrative of some IMRs that can be cited under the circumstances. Furthermore, the specific features/qualities/characteristics of the IMRs that are mentioned herein for use by the system and method in constructing the attendant complementary differential indexes are not meant to represent an exhaustive list of such features/qualities/characteristics, but rather are merely illustrative of various features/qualities/characteristics that may be used. Merely for convenience, the following description will use IMR as an example of how the system 1 is employed.
The system 1 is incorporated into a secure web-based Cloud network and involves a global IMR or energy exchange also referred to as Global IMR or Energy e-Bourse, or simply the “Exchange”. The hedging system 1 may be extended to the following authorized communities of interest (COI) linked around the world over a secure web-based Cloud network: commercial and speculator customers 2; introducing brokers 3; non-clearing commissioned merchants 4; clearing members of the Exchange 5; non-clearing members of the Exchange 6; clearing house 7; and reporting services 8.
The commercial and speculator customers 2 are exposed to market price volatility of IMR or Middle East (ME) crude oils and refined products, which may as to quality (e.g., API gravity; sulfur content), or by components or operations that either add value to, or subtract value from, the IMR, or by geographic and tanker delivery characteristics. Thus, the customers 2 seek protection against future adverse market price movements by buying and selling standardized futures, options, forwards, swaps and spreads centrally traded over the Exchange, involving the use of either proprietary ME-centric benchmarks and indexes or a proprietary benchmark and index specifically designed to accommodate IMR.
Entitled intermediaries engaged between those parties noted directly above and the Exchange include the introducing brokers (IB) 3, non-clearing commissioned merchants (NCCM) 4 and clearing members of the Exchange 4 that are also commissioned merchants (CMCM). However, it should be noted that although those entitled intermediaries may be engaged in commercial relationships with certain Exchange customers noted above, they are not involved as intermediaries in the chain of Exchange communications, as described more fully below. The non-clearing members of the Exchange (NCMEs) 5 may conduct proprietary trading for their own account as well as for their managed clients' accounts.
Clearinghouses 7 and reporting services 8 may be contracted by the Exchange to clear, settle and report all executed trades while ensuring that credit risks are managed via required “marks-to-market” and the maintenance of customer margin deposits, as well as (where applicable) the guaranteed deposits of CMs.
In order to acquire and maintain authorized status, COI must employ Exchange-specified contracts, benchmarks and indexes, as well as Exchange-developed hardware, software applications and processes related thereto, all supplied to COI for use over the secure web-based Cloud network so that bids and offers will be authenticated, posted and ultimately matched, executed and confirmed as trades to be cleared, settled and reported in compliance with policies and rules established by the Exchange.
Following is a description of those key elements of the web-based Cloud network which are integral to the secure and effective conduct of Exchange business. They are broken into three (3) interdependent aspects noted below, which taken together, create a fluid pool of resources across all servers and data centers enabling COI to access all that is provisioned on an as-needed and authorized basis:
Front-end: The Exchange's front-end is globally populated by virtual servers acting as the flexible portion of the web-based Cloud network; in all, COI in more than 20 countries are expected to have virtual servers. They may take the form of users' independently employed personal computers, tablets, smart phones or even data interchange terminals tied to other trading systems (as permitted), subject to requirements that they must be (i) compatible with all Exchange-provided software applications and (ii) interconnected with an Exchange-supplied “dongle” described below. Alternatively, the Exchange can supply COI with its proprietary data interchange terminals containing the requisite software applications and dongle. Either way, front-end virtual servers inter alia perform the following functions:
receive all notifications from the Exchange re: the user's authorized status, as well as all software applications and updates provided by the Exchange;
confirm all relationships with entitled intermediaries, including the terms and conditions associated with commissions & fees (C&F), margin guarantees, etc.;
receive notifications from the Exchange re: all moneys payable or receivable in connection with open trades, settled trades and entitled intermediaries' C&F; and
transmit trade orders to the Exchange in the form of bids and offers, which denote:
Commodity type (including but not limited to IMR, Crude Oil, Unleaded Gasoline, Gasoil/Diesel or Heavy Fuel Oil) or index type (Crude Oil API Gravity Value, Crude Oil Sulfur Content Value, Gasoil Quality Value, Residual/Heavy Fuel Oil Quality Value, Gasoil/Diesel Crack Spread Differential Value, Daily Transit Lease Rate for Tankers, or Daily Warehouse Lease Rate for Tankers);
Benchmark applied in the case of IMR derived from one of several global locations and/or physical properties of the IMR that have been used to make up the applicable benchmark, which is computed on a weighted average (WA) basis;
Benchmark applied in the case of crude oil derived from one of several composites of oil fields located throughout the ME, computed on a weighted average (WA) basis (including but not limited to MEWA Extra Light, MEWA Light or MEWA Medium);
Terms and delivery point (if FOB: Arabian/Persian Gulf or Suez); (if CIF: various);
Type of contract (futures, options, forwards, swaps or spreads), as well as contract expiration and delivery date(s);
Settlement type: financial (cash equivalent) or physical delivery (also referred to as Exchange Futures for Physical Delivery or “EFP”);
Bid or offer price and volume (in terms of number of contracts, each of which is denominated in the number of barrels or gallons or weight or other form of volume of the underlying commodity);
receive confirmations of authorized executed trades from the Exchange;
receive notifications from the Exchange's clearinghouse re: required margin levels to be posted and maintained in connection with open trade positions and “marks-to-market”, as well as notifications concerning clearance and settlement of trades, including details that depend on how/where they are to be settled (financially versus physical delivery);
receive reports of trade activity conducted at the Exchange (such as prices and volume associated with open bids and offers, as well as executed trades; and open interest and other historical trade data); and
receive notification of all Exchange and clearinghouse policies and rules, as well as updates concerning all Exchange-specified futures, options, forwards, swaps, spreads, benchmarks, indexes, position limits and margin requirements.
Dongle: In one embodiment a dongle is a proprietary data storage hardware device loaded with software needed to inter alia provide security and authenticate virtual servers employed by the Exchange's COI. In another embodiment the dongle may be strictly a software component, for example a patch or plug-in, that is obtained wirelessly from some remote source (typically a cloud-based source), and subsequently installed into a main or primary software program that the COI will use to access and use the Exchange. With this embodiment, the patch or plug-in is required to provide full functionality of the primary software program. The patch or plug-in may have an expiration date associated therewith so that it becomes inoperable after a predetermined length of time (e.g., 24 hours, 7 days, etc.), and may also be coded so that it is only useable with a hardware device (e.g., laptop, desktop, smartphone, etc.) having a predetermined serial number). In this manner access to the Exchange can be easily controlled and/or revoked if needed. Position limits can also be imposed by coding the plug-in or patch as needed.
If a hardware dongle made according to Exchange specifications is used, then such a dongle could be supplied to COI either as (i) serialized USB thumb drives or stick devices connectable to independently employed servers, which require a PIN to reboot the server into an Exchange Cloud-enabled operating environment or (ii) an integral component of the Exchange's proprietary data interchange terminal. Dongles enable the Exchange to exercise controls over who can access what data at any given time, where data is stored and who manages the various storage needs and server networks, be they at the front or host end of the Exchange's web-based Cloud. Dongles facilitate transformational data protection via sophisticated encryption that bit-splits data from multiple slices (or shares) and adds authentication and fault tolerant information as it moves through the web-based Cloud network. This inter alia allows COI to share the same infrastructure without fear of other COI or the general population at-large accessing data that is not intended to be openly available.
Alternatively or additionally, authorized Exchange software downloads taking place at authenticated server hardware located over the Exchange's Cloud network may be used to facilitate transformational data protection described above.
Host Server: In addition to the front-end and dongle, proprietary storage networks (aka the host server) make up the last aspect of the Exchange's web-based Cloud network. The host server is configured to accomplish the following:
notify all virtual front-end servers of their authorized COI status, as well as all Exchange and clearinghouse policies, rules and updates concerning inter alia all Exchange-traded futures, options, forwards, swaps, spreads, benchmarks, indexes, position limits and margin requirements;
distribute all software applications and updates provided by the Exchange to authorized COI virtual servers;
receive all authenticated customer bids/offers, which are posted and matched with the posted offers/bids of other customers, resulting in confirmations of all executed trades, the data of which is also transmitted to applicable trade counterparties and entitled intermediaries, as well as to the Exchange's contracted clearinghouse and reporting service firm(s);
facilitate via the Exchange's contracted clearinghouse the posting/maintenance of all required margin levels based on the attendant open trade positions;
facilitate via the Exchange's contracted reporting service firm(s) the fulsome and accurate reporting of all trade activity conducted at the Exchange such as posted prices and volumes associated with open bids and offers, as well as executed open trades, open interest, settled trades and all other historical trade data;
based on confirmations received from applicable COI and underlying executed trade data, compute all C&F and other charges associated with each open and settled trade, and notify all affected parties of their respective amounts payable or receivable in connection therewith; and
provide a platform for account and payment management, alerts and entitlements in connection with the amounts noted directly above.
The host server is designed to be multi-faceted and scalable to sufficiently accommodate several Exchange offices posted around the world. The host server network has been designed to accommodate facilities dedicated solely to the Exchange and/or at qualified remote shared Cloud data resource centers independently contracted by the Exchange.
Accordingly, the present teachings provide a system for energy market hedging extended to authorized commercial and speculating parties that are exposed to market price volatility of IMR or ME crude oils and refined products with varying quality and geographic characteristics. The system for IMR and energy market hedging includes an all-electronic exchange platform dedicated to the transparent trading of energy derivatives, including but not limited to futures, options, forwards, swaps and spreads, all based on either IMR centric benchmarks and indexes, or ME-centric benchmarks and indexes, for global execution over a secure web-based Cloud network.
The system for IMR market or energy market hedging of the present teachings considers the impact of proposed regulatory initiatives and enables the use of IMR or energy derivatives, such as forwards, swaps and spreads, to be traded in a manner that comports with a more stringent global regulatory environment.
In certain applications, it may be desirable to provide a system that permits execution of a derivatives trade electronically at a point somewhere in the Cloud communication chain, rather than at the host server located at the Exchange's headquarters. For example, host servers may be based in a particular country (e.g., the U.S.) to provide strategic and/or economic advantages.
Referring now to FIG. 2, a summary of Middle East-Centric Benchmarks and Complementary Indexes utilized by the system specifically for energy market hedging is presented below. Crude oil benchmarks, each derived from a composite of ME oil fields, which are subject to change from time to time, include the following: 1) ME Weighted Average (MEWA) Extra Light Crude Oil (API gravity of 39.66° and sulfur content of 0.99%); 2) MEWA Light Crude Oil (API gravity of 33.15° and sulfur content of 1.69%); and 3) MEWA Medium Crude Oil (API gravity of 29.75° and sulfur content of 2.49%).
The system 1, when constructed specifically for energy market hedging, further utilizes refined product benchmarks including the following: 1) Unleaded Gasoline (500 ppm sulfur), 2) Gasoil/Diesel (500 ppm sulfur) and Gasoil Crack Spread (between 500 ppm Gasoil and MEWA Light Crude Oil), and 3) Residual/Heavy Fuel Oil (35,000 ppm sulfur).
The system 1, when constructed for energy market hedging, further utilizes complementary differential value indexes including but not limited to the following: 1) Crude Oil API Gravity Value Index focused on variability of API gravity prevalent among crudes produced at ME oil fields, based on value associated with 1.00° differential; 2) ME Crude Oil Sulfur Content Value Index focused on variability of sulfur content prevalent among crudes produced at ME oil fields, based on value associated with 0.1% differential; the aforementioned crude oil differential indexes are structured for trade alongside the Exchange's crude oil EFP futures, valuing variances between the selected benchmark and actual crudes delivered; fee discounts apply when said indexes are traded as designed; 3) Gasoil (Diesel) Quality Value Index (attributable to each 500 ppm of sulfur content differential); and 4) Residual/Heavy Fuel Oil Quality Value Index (attributable to each 5,000 ppm of sulfur content differential).
The system 1, when constructed for energy market hedging, further utilizes Tanker Lease Rate Indexes, which focus on variability of costs and expenses factored in tanker leases—excluding fuel costs, which can be hedged via use of the Exchange's Residual/Heavy Fuel Oil futures and options: 1) Daily Transit Lease Rate Index tied to tankers (VLCC and Suezmax, respectively) earmarked for hauling ME crude oil to East of Suez destinations; and 2) Daily Warehouse Lease Rate Index tied to tankers (VLCC and Suezmax, respectively) earmarked for warehousing ME crude oil headed to East of Suez (also able to provide Transit and Warehouse Lease Rate Indexes for smaller crude oil and refined product tankers). Futures and options are priced in U.S. Dollars; other terms—e.g., based on a Global Reserves Basket Index comprised of a variety of commodity and currency asset classes commonly employed commercially in ME and East of Suez markets—can also be provided.
The system 1, when constructed for energy market hedging, further utilizes an EFP Qualification Process in which ME-Centric Crude Oil Futures are complemented by API Gravity Value and Sulfur Content Value Indexes. The EFP Qualification Process includes the following steps. Stage 1, ME crude oil meeting criteria noted below qualifies for delivery within the Exchange's assigned settlement period (per terms of respective EFP contract): To use MEWA Extra-Light crude oil benchmark, deliverable ME crude oil must be derived from an “Extra-Light” field or otherwise have API gravity>36° and sulfur content<1.4%. To use MEWA Light crude oil benchmark, deliverable ME crude must be derived from a “Light” field or otherwise have API gravity between 33° and 36° and sulfur content between 1.4% and 2.0%. To use MEWA Medium crude oil benchmark, deliverable ME crude must be derived from a “Medium” field or otherwise have API gravity between 30° and 33° and sulfur content between 2.0% and 2.9%. ME crude oil not meeting specific criteria per above may still qualify for settlement under EFP terms but must first be formally assigned an Exchange-authorized benchmark for trading.
Stage 2 (for ME crude oil meeting Stage 1 qualification): Cumulative API gravity and sulfur content differentials—derived by comparing actual (per Exchanged-recognized assay) and specified benchmark crudes—must also be settled at delivery.
For example, assume Party A (ME crude oil producer) holds a net short position of 800 contracts of MEWA Light Crude Oil EFP Futures expiring December 2012 and agrees to deliver 800,000 barrels of ME crude assayed as having API Gravity of 34° and sulfur content of 1.89%. Thus, Party A must also deliver the following: 1) 680 contracts (short) of Crude Oil API Gravity Value Index Futures expiring in December 2012; computed by multiplying 800 times the difference between the benchmark)(33.15° and the actual ME crude oil delivered)(34°, or 680 contracts—in this case, short because the delivered crude is higher quality than the benchmark. 2) 168 contracts (long) of Crude Oil Sulfur Content Value Index Futures expiring in December 2012; computed by multiplying 800 times the difference between the benchmark (1.68%) and actual ME crude oil delivered (1.89%), or 168 contracts—in this case, long because the delivered crude is of lesser quality than the benchmark. Incomplete delivery of complementary index futures in manner described above will result in Exchange-imposed cash adjustments, which are a factor of the requisite number of complementary futures called for under the circumstances and any adverse effects of post-expiration market price moves, plus applicable fees levied by the Exchange.
Referring now to FIG. 3, a system 50 for trading either IMR or fuels according to the present disclosure is shown. If the system 50 is used for trading IMR, then various products such as potash, MOP, SOP or any other type of industrial mineral or rock or fertilizer, will be traded using the system 50. If the system 50 is used for trading fuels, then virtually any type of fuel or quantifiable energy source (fossil or otherwise) could potentially be traded using the system 50. While a portion of the following discussion will use crude oils, only, as an example of a fuel or an energy resource, it will be appreciated that the teachings of the present disclosure may be applicable to other types of fuels or energy resources including but not limited to natural gas, coal, and so on, as well as refined products derived from crude oil. In general, the teachings of the present disclosure may be applicable to any commodity that is produced and shipped globally and that has varying properties which affect its quality and/or worth.
The system 50 comprises a plurality of servers 52-1, 52-2, . . . , and 52-N, where N is an integer greater than or equal to 1 (collectively servers 52); a plurality of trading devices 54-1, 54-2, . . . , and 54-N; and Internet 56. The servers 52 constitute an exchange for trading the fuels. The servers 52 may be located in a single location or may be distributed in multiple locations. The servers 52 may be interconnected via the Internet 56. Alternatively or additionally, the servers 52 may be interconnected via local area networks (LANs) and/or wide area networks (WANs). The servers 52 may communicate with a plurality of fuel producers′, users' and speculators' facilities via the Internet 56.
The trading devices 54 may be located all around the world and are used by traders to communicate with the exchange and to trade the fuels over the exchange. The trading devices 54 may communicate with the servers 52 via the Internet 56, a LAN, and/or a WAN.
Referring now to FIG. 4, an example of a computing device 100 is shown. The computing device 100 may be used to implement the servers 52 and the trading devices 54. The computing device 100 may include a personal computer (PC), a laptop computer (laptop), a mobile computing device, or a mobile internet device (MID). The mobile computing device may include a smartphone, a personal digital assistant (PDA), or a tablet. The computing device 100 may communicate with the Internet 56 via a link 104. The link 104 may be wired or wireless.
In FIG. 4, only core components relevant to understanding the present disclosure are shown. It is understood that depending on configuration, the computing device 100 may include additional components not shown. For example only, the computing device 100 may comprise a central processing unit (CPU) 110, memory 112, a peripheral control module 114, peripheral devices 116, an input/output (I/O) control module 118, I/O devices 120, and a communication module 130. The CPU 110, memory 112, and other modules of the computing device 100 communicate via a bus 122.
The CPU 110 runs an operating system (OS) and application programs. The CPU 110 processes data that is transmitted and received by the computing device 100 via the Internet 56. Memory 112 stores data processed by the CPU 110 and by the other modules of the computing device 100.
The peripheral control module 114 controls the peripheral devices 116 of the computing device 100. The peripheral devices 116 may include one or more hard disk drives (HDDs), compact disc (CD) drives, and/or digital versatile disc (DVD) drives. The peripheral devices 116 store the OS and the application programs executed by the CPU 110.
The I/O control module 118 controls the I/O devices 120 of the computing device. The I/O devices 120 may include a keypad, a display, and/or a pointing device. The pointing device may include a mouse and/or a touchpad. Additionally or alternatively, the computing device 100 may include a voice recognition system. The user may interact with the computing device 100 using the voice recognition system. For example, the user may input voice commands via the voice recognition system.
The communication module 130 can communicate with the Internet 56. The communication module 130 can transmit data to Internet 56 and receive data from the Internet 56.
Referring now to FIG. 5, the computing device 100 may include the following additional modules when the computing device implements one of the servers 52. For example, the computing device 100 implementing the servers 52 may include a data collection module 200, a selection module 202, a weight generating module 204, a benchmark generating module 206, an order processing module 208, and an order execution module 210. The modules may be implemented by a combination of the hardware and software executed by the CPU 110 of the computing device 100.
The data collection module 200 may collect data for a plurality of types of IMR or a plurality of types of fuels. The communication module 130 may communicate with a plurality of authorized fuel production data facilities via the Internet 56 and provide the data to the data collection module 200. The data may include geographic locations where the IMR were extracted or where the fuels were discovered, a rate of extraction of the IMR or fuels, and specific physical properties of the IMR or fuels. If data on IMR are being collected, such data may involve specific operations that have been performed on the specific one or more IMR, or specific material components that have been added thereto, which either add to or detract from the relative market value of each specific type of IMR being handled. If fuels are being dealt with, then the fuels may include crude oils having varying properties which increase or decrease their relative market value. For fuels, the properties may include specific API gravity and sulfur content of the fuels.
When the selection module 202 is used with IMR, then the selection module selects specific types of IMR from a larger collection of IMR components, based on factors or physical attributes that may affect the relative market value (either positively or negatively) of the each IMR component in the larger group of IMR, to form sets of components of IMRs. When the selection module 202 is used with fuels, then the selection module 202 selects fuels from the plurality of fuels based on the properties of the fuels to generate sets of fuels. In other words, the selection module 202 groups either IMR components or fuels into sets based on the properties of each. For example, see FIG. 2 showing crude oils grouped into three groups based on their respective API gravity and sulfur content.
The weight generating module 204 generates weights for generating weighted averages. A weight for generating a weighted average for a specific IMR in a specific set of IMRs, or a fuel in a set is of fuels, may be based on a rate of extraction of the IMR or fuel relative to an aggregate rate of extraction of all the IMR components in an IMR set, or all specific fuels in the set of fuels. For example, in FIG. 2, Qatar Dukhan crude oil is extracted at a rate of 300,000 BPD, which is nearly 10% of the aggregate rate of production of nearly 3 million BPD for a set of crude oils grouped as MEWA Extra Light Crude Oil. Qatar Dukhan crude oil has an API gravity of 41.1° and sulfur content of 1.22%. Applying the weight of 300,000 divided by 3 million (i.e., 10%) to the API gravity and the sulfur content of Qatar Dukhan crude oil, the weighted API gravity and sulfur content of Qatar Dukhan crude oil becomes nearly 4.00 and 0.12%, respectively.
The benchmark generating module 206 generates benchmarks indicating aggregate compositional qualities of the sets of IMRs or sets of fuels. A benchmark (also called a IMR commodity benchmark or a fuel commodity benchmark) for a set of IMR components or a set of fuels, is generated based on weighted averages of the physical properties of the IMR components in the IMR set, or the physical properties of the fuels in the set of fuels. For example, in FIG. 2, the benchmarks for the MEWA Extra Light Crude Oil are a sum of the weighted averages of the properties of the constituent crude oils. That results in a benchmark having API gravity of 39.66° and sulfur content of 0.99%.
The communication module 130 communicates the benchmarks to traders and receives orders for derivatives contracts for the IMR or fuels from the traders to buy or sell derivatives contracts based on the benchmarks. The orders for derivatives contracts include futures and options, as well as forwards, swaps and spreads traded directly between the traders and fuel producers via the Exchange comprising the servers 52 and without using intermediaries in the chain of Exchange communications. The orders may also include tanker derivatives contracts related to transporting and warehousing the fuels described above.
The order processing module 208 processes an order for a specific IMR or a specific fuel based on differences between actual properties of the IMR or fuel to be delivered under the terms of EFP Futures and the aggregate qualities indicated by the operative benchmark for a set of IMR components comprising the ordered IMR, or a set of fuels comprising the ordered fuel. See the trading example described above in detail. The order execution module 210 executes the trade and provides order execution data to the trader via the communication module 130. Executing an order encompasses orders being authenticated, posted, matched, executed and confirmed, cleared, settled and reported.
The data collection module 200 periodically updates the data such as BPD for the fuels. The benchmark generating module 206 generates the updated benchmarks based on the updated data. The communication module 130 communicates the updated benchmarks to the traders.
Referring now to FIG. 6, a flowchart of a method 300 for trading fuels according to the present disclosure is shown. At 302, control collects data for a plurality of fuels, where the data include geographic locations where the fuels are discovered, a rate of extraction of the fuels, and properties of the fuels. At 304, control selects fuels from the plurality of fuels based on the properties of the fuels to generate sets of fuels. At 306, control generates weights for generating weighted averages, where a weight for generating a weighted average for a fuel in a set is based on a rate of extraction of the fuel relative to an aggregate rate of extraction of the fuels in the set. At 308, control generates benchmarks indicating aggregate compositional qualities of the sets of fuels, where a benchmark for a set of fuels is generated based on weighted averages of the properties of the fuels in the set of fuels.
At 310, control communicates the benchmarks to traders and receives orders for derivatives contracts for the fuels from the traders to buy or sell derivatives contracts based on the benchmarks. At 312 control processes an order for a fuel based on differences between actual properties of the fuel to be delivered and the aggregate qualities indicated by a benchmark for a set of fuels comprising the ordered fuel. At 312, control executes the orders, taking into account the complementary Crude Oil API Gravity Value and Crude Oil Sulfur Content Value indexes, which are intended to be used in conjunction with EFP (not cash settled) futures contracts, and provides execution data to the traders.
At 314, control updates the data periodically, generates updated benchmarks based on the updated data, and communicates the updated benchmarks to the traders. In this manner, control executes orders that include futures and options, as well as forwards, swaps and spreads, including tanker contracts related to transporting and warehousing the fuels, which are traded directly between the traders and fuel producers over the Exchange and without using intermediaries in the chain of Exchange communications. In some implementations, the method 300 is implemented by one or more processors that execute software designed to perform the method 300.
At FIG. 7 a flowchart 400 is shown to explain a sequence of operations that may be carried out when the system 1 is used for trading IMR components. At operation 402, data is collected data for a plurality of IMR components, where the data includes geographic locations where each IMR component is extracted/produced/obtained, a rate of extraction/production of the IMR comonents, and physical properties of the IMR components that either add to or detract from the relative market value of each IMR component. Such physical properties may involve, without limitation, whether a muriate of potash (MOP) is in the form of a Standard MOP and Granular MOP, or possibly whether specific percentages or levels of nitrogen (N), phosphorous (P) and potassium (K) are being used with a specific IMR component being traded.
At operation 404, specific IMR components are selected from the larger plurality of IMR components based on physical properties of the IMR components, to generate sets of IMR components. At operation 406, weights are generated for use in generating weighted averages. A weight for generating a weighted average for a specific IMR component in a set of IMR components is based on a rate of extraction/production of the specific IMR component relative to an aggregate rate of extraction/production of all the IMR components that form the larger set of IMR components.
At operation 408, benchmarks are generated indicating aggregate qualities of the different sets of IMR components. A benchmark for a specific set of IMR components is generated based on weighted averages of the physical properties of each of the IMR components within the larger set of IMR components. At operation 410, the benchmarks are communicated to traders and orders are received from traders for the IMR components, based on the created benchmarks.
At operation 412, an order for a specific IMR component is processed. The order is processed based on differences between actual properties of the IMR component and the aggregate qualities indicated by a benchmark for a set of IMR components comprising the specific IMR component ordered. At operation 414 the order is settled and settlement data is provided to the traders involved in the transaction. At operation 416 the data is periodically updated, and updated benchmarks are generated based on the updated data. The updated benchmarks are also transmitted to the traders.
It will also be appreciated that when the tradable assets comprise IMR, the orders may include derivatives contracts related to costs of transporting and warehousing the IMR stored onboard tankers and/or using intermodal permutations including at least one of storage terminal, pipeline, boat, rail and truck solutions.
In general, a hedging system according to the present disclosure is summarized below. The hedging system provides potential price protection to authorized producers and users of IMR components, as well as Middle East (ME) crude oils and refined products, while also offering authorized speculators potential profit opportunities from attendant market price volatility. The system comprises globally scattered communities of interest (COI) operating over a web-based Cloud network centered around a Global Energy exchange also referred to hereafter as either a IMR e-Bourse or Global Energy e-Bourse, or simply the “Exchange”, which is the entity in charge of the following functions.
For example, the functions include specifying futures, options, forwards, swaps, spreads and other derivatives associated with the buying, selling, storing, shipping and delivery of varying grades of IMR components or varying grades of ME crude oil and refined products, each being typically exported to customers in countries scattered throughout the world; listing said futures, options, forwards, swaps, spreads and other derivatives that are extended to the following COI: clearing members of the Exchange that maintain capital deposits to guarantee transactions in the event of customer defaults, non-clearing members of the Exchange, commissioned merchants, introducing brokers, trading counterparties in the form of commercials and speculators (aka Exchange customers), clearinghouses and reporting services, all of which are geographically scattered throughout the world.
Further, the functions include providing a transparent all-electronic data interchange platform able to authorize, transmit, receive, match, confirm, report, clear, settle and otherwise execute buy and sell trade orders for all listed futures, options, forwards, swaps, spreads and other derivatives with the capability of originating the orders virtually anywhere in the world over a secure web-based Cloud network; establishing all Exchange policies and rules and overseeing the compliance therewith; arranging for all trades to be cleared and settled by qualified clearinghouses; obtaining all requisite licenses and other approvals granted by applicable government regulatory bodies; and implementing all operating and reporting systems and processes conducive to the overall conduct of exchange business.
The listed futures, options, forwards, swaps, spreads and other derivatives may in one embodiment be directly or indirectly linked to IMR benchmarks differentiated by location of extraction/production and/or by physical properties that either add to or detract from the relative market value of an underlying IMR component. In another embodiment crude oil benchmarks may be notionally differentiated by their respective weighted average API gravity and sulfur percentage (%) content, each derived from a composite selection of crude oils produced in fields located throughout the ME region of the world, with the selection and related data being subject to change by the Exchange from time to time.
The all-electronic data interchange platform comprises a front-end, proprietary data storage hardware devices (aka dongles), and proprietary storage networks aka the host server. The front-end is populated by COI with virtual servers acting as the flexible portion of the web-based Cloud network. The proprietary data storage hardware devices (aka dongles) are loaded with software needed to facilitate transformational data protection via encryption that bit-splits data from multiple slices (or shares) and add authentication and fault tolerant information as data moves through the web-based Cloud network, allowing COI to share the same network infrastructure without fear of other COI or the general population at large accessing data that is not intended to be openly available, thereby providing controls over who can access specific data at any given time, where data is stored and who manages various storage needs and server networks. The proprietary storage networks aka the host server are multi-faceted and scalable to sufficiently accommodate several Exchange facilities around the world dedicated solely to the Exchange and/or at qualified remote shared Cloud data resource centers independently contracted by the Exchange.
The front-end virtual servers can take the form of the following: COI users' independently employed personal or laptop computers, tablets, smart phones or even data interchange terminals tied to other trading systems (where permitted) subject to requirements that they must be compatible with Exchange-provided software applications and interconnected with an Exchange-supplied dongle; or proprietary data interchange terminals made to Exchange specifications and containing the requisite software applications and dongle.
The front-end virtual servers are employed to perform the following functions: For example, the functions include receiving all notifications from the Exchange regarding the user's authorized status as well as all software applications and updates; and confirming all relationships with entitled intermediaries, including the terms and conditions associated with commissions and fees (“C&F”), margin guarantees, etc.
The functions further include transmitting trade orders to the Exchange in the form of bids and offers that inter alia may denote the following when a IMR-based system is employed: muriate of potash (MOP), Standard MOP, Granular MOP, sulfate of potash (SOP), as well as whether specific percentages or levels of nitrogen (N), phosphorous (P) and potassium (K), or mixtures thereof, are being used with a specific IMR component being traded that either enhance or detract from its relative market value, along with any specific logistics attributes that may apply. When a fuel-based system is employed, the bids and offers may denote: commodity type (including but not limited to Crude Oil; Unleaded gasoline; Gasoil/Diesel; or Residual/Heavy Fuel Oil) or index type (including but not limited to Crude Oil API Gravity Value, Crude Oil Sulfur Content Value, Gasoil Quality Value, Residual/Heavy Fuel Oil Quality Value, Gasoil Crack Spread Differential, Daily Transit Lease for Tankers (VLCC and Suezmax, respectively), or Daily Warehouse Lease Rate for Tankers (VLCC and Suezmax, respectively).
The functions further include transmitting benchmarks in the case of crude oil derived from one of several composites of oil fields located throughout the ME, computed on a weighted average (WA) basis, which are subject to change from time to time (including but not limited to MEWA Extra Light, MEWA Light or MEWA Medium); terms and delivery point (such as FOB: Arabian/Persian Gulf or Suez; or CIF: various destinations).
The functions further include transmitting type of contract or agreement (including but not limited to futures, options, forwards, swaps or spreads), as well pertinent expiration and delivery date(s); type of settlement (financial [cash or equivalent] or physical delivery); and bid or offer price and volume. For IMR-based systems, the bid or offer price and volume may be expressed in terms of weight, barrels or any applicable units of measure or volume. For fuel-based systems the bid or offer price and volume may be expressed in terms of number of contracts, each of which is denominated in the number of applicable barrels or gallons or weight of the underlying commodity.
The functions further include transmitting receiving notifications from the Exchange regarding all confirmed and executed trades, moneys payable or receivable in connection with open trades, settled trades and entitled intermediaries' C&F.
The dongles are made according to Exchange specifications and supplied to COI either as serialized USB thumb drives or stick devices connectable to independently employed servers, requiring a PIN to reboot each server into an Exchange Cloud-enabled operating environment; or as an integral component of the Exchange's proprietary data interchange terminal.
The host server is employed to perform the following functions: For example, the functions includes notifying all virtual front-end servers of their authorized COI status, as well as all Exchange and clearinghouse policies, rules, and updates concerning inter alia all Exchange-traded futures, options, forwards, swaps, spreads, benchmarks, indexes, position limits and margin requirements. The functions further include distributing all software applications and updates provided by the Exchange to authorized COI virtual servers; and receiving all authenticated customer bids/offers, which are posted and matched with the posted offers/bids of other customers, resulting in confirmations of all executed trades, the data of which is then transmitted to affected trade parties and entitled intermediaries, as well as to the exchange's contracted clearinghouse(s) and reporting service firm(s).
The functions further include facilitating via the Exchange's contracted clearinghouse(s) the posting and maintenance of all required margins levels based on the attendant open trade positions; and facilitating via the Exchange's contracted reporting service(s) the fulsome and accurate reporting of all trade activity conducted at the Exchange such as posted prices and volumes associated with open bids and offers, as well as executed open trades, open interest, settled trades and all other historical data.
The functions further include, based on confirmations received from applicable COI and underlying executed trade data, computing all C&F and other charges associated with each open and settled trade, and notify all affected parties of their respective amounts payable or receivable in connection therewith; and providing a platform for account and payment managements, alerts and entitlements in connection with the payable or receivable amounts noted directly above.
The trade margining, marks-to-market, clearing and settlement functions are facilitated by qualified clearinghouses consisting either of an affiliate of the Exchange or independently contracted clearinghouse(s), each being COI in the web-based Cloud network.
Tradable Financial Instruments
As noted above, the entire description of operation of the system 1 may be applied to any form of tradable asset underlying a particular derivatives contract. Data collected for the purpose of constructing weights and weighted benchmarks may involve permitted asset types and classes, plus quantitative and qualitative properties applicable to each tradable asset. The tradable assets may include not only fuels and IMRs, but also asset types relating to credit, cash, obligations or rights, each of which is represented by a specific credit instrument, and each of which underlies a derivatives contract heretofore predominantly traded via over-the-counter (“OTC”) platforms, rather than exchange-traded platforms.
When the asset types relate to instruments representing monetary types of assets, rather than commodity types of assets, such asset types may include corporate bonds including at least one of industrial, utility, transport, and financial services type bonds, leveraged loans, municipal bonds, preferred stocks, commercial paper, or money market instruments.
When the asset types relate to credit instruments such as any one of those listed above, then various specific properties may be taken into account. Such specific properties may be quantitative in nature including but not limited to an issuer type, an instrument type, or a principal value (also known as maturity value, face value or par value). Other specific properties may be qualitative in nature including, but not limited to, credit quality rating, coupon (expressing annual interest payable as a percentage of the principal), and remaining duration (tied to maturity). Still further specific properties may relate, to the extent applicable, any provisions pertaining to convertibility, callability, pledged security interests and other promises, representations and covenants.
Counter-Trade of Physically Delivered Commodities Listed Over a Global E-Bourse
At the present time there is also a strong desire for hedging and delivery solutions attendant to cross-border trade that are vital to developing world economies. As such, it will be appreciated that the teachings of the present disclosure are readily applicable to items and instruments beyond energy, such as into other commodity classes, that are of commercial interest to ME/ES and other developing world traders, and to creating a venue for such traders to be involved in barter and other countertrade transactions.
Rather than emulate other ETD platforms that exploit “global proxy” benchmarks to elicit cash settlements prior to contract expiration, the systems and methods of the present disclosure may be used to translate methods and instruments relating to non-energy and non-IMR related subject matter into Benchmark Complex solutions, which practically match bilateral interests of physical delivery minded buyers and sellers. This unprecedented method of order-matching factors the every-day effects of commodity quality and logistics variability, while facilitating fair open market-based valuation adjustments of the same, all within the parameters of Exchange of Futures for Physical Delivery (EFP) contracts.
Accordingly, by extending the core teachings of the present disclosure to form a “Global Commodity e-Counter”, as shown in FIG. 8, this will substantially enhance transparency, ergo price discovery, for traders. All bids, offers and executed trades will be posted contemporaneously for clear view over a centralized exchange platform formed by the systems and methods of the present disclosure. This contrasts favorably with OTC price discovery processes currently prevailing in the marketplace, a factor that should be appreciated given the circumstances noted throughout the present disclosure.
Ultimately, any globally-traded commodity is a legitimate candidate for a counterparty-friendly method of matching diverse yet similar orders, all of which are further subjected to valuation adjustments via the requisite buying or selling of complementary differential indexes at fair values in the open market to uniformly reconcile (prior to or at settlement) differences between (i) actual properties of a commodity to be physically delivered under the terms of an operative ETD contract and (ii) the aggregate qualities indicated by an exchange-specified commodity benchmark. It will be appreciated that the aggregate qualities selected will be largely dependent on the specific types of commodities involved, and may involve particulars relating to quantity, quality, physical or chemical composition, location or origin, age, or any other factor(s) that may be suitable or useful in helping to make valuation adjustments between the commodities to be physically delivered under the terms of an operative ETD contract.
Such extension may require only slight modifications to the existing embodiments of the system as described herein. Actual implementation may call for the following: (i) listing commodities (ex-energy) that ME/ES counterparties already trade or have an interest in trading; (ii) developing complementary differential index specifications unique to each attendant commodity that will yield fair market value-based adjustments for quality/logistics variability (integral to the Benchmark Complex methodology taught herein); (iii) uniform execution in a manner similar to that occurring in the case of energy class ETD; and (iv) ultimately matching orders for different commodity classes as part of barter or other countertrade transactions effectuated by the intermediary platform, which in this example is the Global Commodity e-Counter shown in FIG. 8 and identified by reference number 500. The Global Commodity e-Counter 500 facilitates back-to-back order executions and contract settlements with affiliated exchanges such as Global Energy e-Bourse 502 and Global IMR e-Bourse 504 or any other affiliated commodity ETD platform employing the same core systems and methods as those taught in the present disclosure.
The countertrade fulfillment platform embodiment of the present disclosure is aimed at helping emerging market importers and exporters match their “double coincidence of wants” in practical (rather than absolute) ways under bilateral compensation arrangements. The countertrade fulfillment platform is designed to minimize (potentially eliminate) actual exchanges of currencies. Notwithstanding, it should be emphasized that it is intended for all Global Commodity e-Counter instruments to be uniformly price referenced using globally recognized financial mediums, be they currency-based or in the form of a “basket” of specified assets, the fair market values of which are envisioned to be transparently posted throughout each trading day over one or more of the commodity ETD platforms associated with the system of the present disclosure.
In summary, a system such as described above, which operates to meld state-of-the-art information technology (IT) systems with the aforementioned extension of ETD instruments to reasonably/practically construct “equivalent for equivalent” trades, whilst guarding against practices that invite elements of unjust enrichment by uniformly applying the following procedures, will include the following subsytems/elements/procedures:
employing network authentication controls and other IT system modules described throughout the present disclosure in a manner that enables authorized Global Energy e-Bourse, Global IMR e-Bourse or other commodity e-Bourse traders to also engage with Global Commodity e-Counter;
price referencing all trade instruments using globally recognized financial mediums;
optimizing price discovery efficiency for all commodities exchanged via enhanced transparency created as centralized ETD platforms are employed (all predicated on physical delivery); and
making requisite adjustments to account for the value of each commodity's physical quality and logistics variability—which is expected to be a key driver to practical construction of countertrade equivalence since this method can be similarly/uniformly applied to many commodity classes—facilitated by proprietary Benchmark Complex systems, methods and ETD instruments.
The following may thus be considered as a summary of a system for the counter-trade of physically delivered commodities listed over Global e-Bourse Suites exchange-traded derivative programs:
Focused on counter-trade of physically delivered commodities listed over Global Energy e-Bourse, Global IMR e-Bourse and any other such affiliated commodity exchange-traded derivatives platforms; includes:
Barter: direct reciprocal trade based on “double coincidence” of wants without the exchange or involvement of money.
Counter-purchase: simultaneous agreements to import the other party's products, whereby each party is paid in cash based on delivery of its products to the other party.
Compensation arrangement: seller is compensated for exports by a counter supply of goods provided by the importer.
Switch trading: a bilateral clearing arrangement for settling financial claims arising through imports and exports from compensation and similar arrangements; an example:
Party B has a credit in its account with Party A (arising through compensation or other payment arrangements);
Party B then locates a party in another country—C—which is interested in purchasing the products of Party A;
Party B sells its credit (i.e., clearing currency units) at a discount to Party C in order to receive hard currency;
Party C uses the clearing currency obtained from Party B to purchase goods from Party A.
Direct and Indirect Offset Arrangements
Under direct offset arrangements, the components of a sold item are to be produced within the buying country and the seller agrees to buy these components to use them in-house. Under indirect offset arrangements, the seller agrees to buy unrelated products from the buyers (similar to the case of counter-purchase).
As used herein, the term module may refer to, be part of, or include an Application Specific Integrated Circuit (ASIC); an electronic circuit; a combinational logic circuit; a field programmable gate array (FPGA); a processor (shared, dedicated, or group) that executes code; other suitable hardware components that provide the described functionality; or a combination of some or all of the above, such as in a system-on-chip. The term module may include memory (shared, dedicated, or group) that stores code executed by the processor.
The term code, as used above, may include software, firmware, and/or microcode, and may refer to programs, routines, functions, classes, and/or objects. The term shared, as used above, means that some or all code from multiple modules may be executed using a single (shared) processor. In addition, some or all code from multiple modules may be stored by a single (shared) memory. The term group, as used above, means that some or all code from a single module may be executed using a group of processors. In addition, some or all code from a single module may be stored using a group of memories.
In some implementations, the systems and methods disclosed herein can be implemented on any computing devices such networked together, where the computing devices include servers, desktop computers, and handheld computing devices such as tablets and smartphones. In these implementations, the modules described herein can be implemented on these devices using a combination of software and hardware that provide the desired functionalities. Due to connectivity and interactions between the modules and the computing devices, integrating the modules with the computing devices creates specialized computing devices that are specifically suitable for the systems and methods disclosed herein.
While specific examples have been described in the specification and illustrated in the drawings, it will be understood by those skilled in the art that various changes may be made and equivalence may be substituted for elements thereof without departing from the scope of the present teachings as defined in the claims. Furthermore, many modifications may be made to adapt a particular situation or material to the present teachings without departing from the essential scope thereof. Therefore, it may be intended that the present teachings not be limited to the particular examples illustrated by the drawings and described in the specification as the best mode of presently contemplated for carrying out the present teachings.

## Claims

1. An Exchange-traded derivatives based hedging system to match, execute and settle buy and sell orders over an Exchange-controlled network by counterparties desiring to manage asset price volatility risks by trading derivatives contracts linked with a plurality of underlying assets having varying degrees of properties that add to or detract from asset value, all falling within parameters unique to benchmark-specific sets of assets, and complementary differential indexes, formulated to process derivatives contract settlements by physical delivery for counterparties having practically, rather than absolute, opposite hedging interests, the system comprising:
an Exchange-controlled network having at least one host server disposed at a first location, and being in communication with at least two front end virtual servers disposed at second and third locations;
each of the two front end virtual servers including a processor configured to run a plurality of non-transitory, machine executable instructions, and at least one memory in communication with the processor, the memory configured to store the non-transitory, machine executable instructions which when running on the processor;
at least one of the two front end virtual servers configured to collect data for a plurality of tradable assets underlying a particular derivatives contract, wherein the data includes permitted asset types and classes, plus quantitative and qualitative properties applicable to each asset;
at least one of the two front end virtual servers configured to select tradable assets from the plurality of tradable assets based on the quantitative and qualitative properties of the tradable assets to generate sets of tradable assets comprising tradable asset benchmarks that are formulated for a particular derivatives contract;
at least one of the two front end virtual servers configured to generate weights for use in generating weighted averages, wherein a specific weight for generating a specific weighted average for a particular tradable asset in a specific set of tradable assets is based on the quantitative properties of each tradable asset relative to the aggregate quantitative properties of all tradable assets in the specific set of tradable assets;
at least one of the two front end virtual servers configured to generate the tradable asset benchmarks formulated for each derivatives contract indicating aggregate properties of the sets of tradable assets, wherein a tradable asset benchmark for a specific one of the sets of tradable assets is generated based on weighted averages of the qualitative properties of the tradable assets in the specific one of the sets of tradable assets;
the host server configured to communicate the tradable asset benchmarks formulated for each derivatives contract to traders, and operating to receive orders for derivatives contracts from the traders' front end virtual servers to buy or sell derivatives contracts based on the tradable asset benchmarks;
the host server processing an order for derivatives contracts based on differences between actual properties of the tradable asset to be physically delivered under the terms of an operative derivatives contract and the aggregate properties indicated by an operative tradable asset benchmark associated with the specific set of tradable assets from which the tradable asset to be physically delivered is a component of;
at least one of the two front end virtual servers periodically receiving updated tradable asset data for each of the tradable assets in the sets of tradable assets, and using the updated tradable asset data to periodically update the tradable asset benchmarks over the Exchange-controlled network; and
a dongle comprised of hardware and software, and wherein the dongle is configured to be coupled to at least one of the front end virtual servers, the dongle operative to configure its associated said front end virtual server for Exchange-controlled communications with the host server and other front end virtual servers and to enable the information to be passed along the Exchange-controlled network for purposes of creating the trading asset benchmarks formulated for derivatives contracts, and for determining or effectuating orders to be placed for the complementary differential index contracts to be presented at a future settlement along with underlying exchange for physical (EFP) contracts being settled by physical delivery.

2. The system of claim 1, wherein the tradable assets include at least one of:
industrial minerals and rocks (“IMR”); or
credit instruments, respectively, each of which underlie derivatives contracts heretofore predominantly traded via over-the-counter (“OTC”) platforms, rather than centralized exchange-traded platforms.

3. The system of claim 2, wherein the IMR include at least one of:
fertilizers;
potash and potash by-products;
phosphate;
bauxite;
graphite; or
byproducts of phosphate, bauxite or graphite.

4. The system of claim 2, wherein the tradable asset includes IMR, and wherein the quantitative properties of the IMR include geographic locations where the IMR are discovered and a rate of extraction of the IMR.

5. The system of claim 4, wherein the qualitative properties of the IMR include at least one of:
a first property that adds to a relative value of the IMR; or
a second property that detracts from a relative value the IMR.

6. The system of claim 5, wherein at least one of the first and second properties includes:
whether the IMR has been converted from a standard form to a granulated form, thus being converted from a standard grade to a granular grade;
whether at least one of phosphorous or nitrogen has been added to the IMR, and wherein the IMR comprises potassium; or
whether the IMR forms a water soluble grade.

7. The system of claim 2, wherein the tradable assets include credit instruments, and wherein the credit instruments include at least one of:
corporate bonds including at least one of industrial, utility, transport, and financial services type bonds;
leveraged loans;
municipal bonds;
preferred stocks;
commercial paper; or
money market instruments.

8. The system of claim 2, wherein tradable assets comprise credit instruments, and wherein the quantitative properties of the credit instruments include at least one of:
issuer; or
issue type and principal, including at least one of maturity value, face value or par value.

9. The system of claim 2, wherein the tradable assets comprise credit instruments, and wherein the qualitative properties of the credit instruments include at least one of:
a coupon expressing annual interest payable as a percentage of the principal;
a remaining duration tied to maturity;
a credit quality rating; and
a provision pertaining to at least one of convertibility, callability, pledged security interests or other promises, representations and covenants.

10. The system of claim 2, wherein tradable assets comprise IMR, and wherein the orders include derivatives contracts related to costs of transporting and warehousing the IMR stored onboard tankers and/or using intermodal permutations including at least one of storage terminal, pipeline, boat, rail and truck solutions.

11. The system of claim 2, further comprising an affiliated barter or countertrade platform, and wherein two or more initiating ETD platforms dealing in fuels, IMR and/or other commodities engage in back-to-back trades with the affiliated barter or countertrade platform, the affiliated barter or countertrade platform operating to practically or substantially match authenticated bilateral interests of the initiating ETD platforms' physical delivery-minded counterparties, achieved by executing and settling equivalent-for-equivalent trades via uniform processes that:
account for an operative benchmark market value of each commodity attendant to the trade;
adjust for the market value of each attendant commodity's physical and logistics variability; and
employ price references predicated on globally recognized financial mediums selected to minimize or eliminate the exchange of currencies to be tendered with the attendant commodities physically delivered and received as of an operative ETD contract settlement date or dates.

12. The system of claim 11, wherein a back-to-back execution module is operative between the initiating ETD platforms and the affiliated barter or countertrade platform, all of which employ similarly configured information technology systems, commodity benchmark sets, complementary differential indexes and ETD instruments and contracts, whereby:
each dongle-authenticated trader posts barter or countertrade qualifying bids and offers over its respective initiating ETD platform (i.e. the ETD platform dealing in the commodity to be delivered by the authenticated trader);
each initiating ETD platform becomes a counterparty to its authenticated barter- or countertrade-qualifying customers bids and offers;
each initiating exchange then simultaneously posts an offsetting offer or bid, which upon back-to-back execution module processing is converted to a qualifying offer or bid with the affiliated barter or countertrade platform; and
the barter or countertrade platform, after matching its counterparties' bids and offers, executes and settles all barter or countertrade ETD contracts and determines the nature and extent of requisite currencies to be co-delivered or received with the attendant commodities as of the operative ETD contract settlement date or dates.

13. The system of claim 1, wherein the orders for derivatives contracts encompass futures, options, forwards, swaps and spreads traded between the traders and tradable asset producers or issuers, as the case may be, via an Exchange providing the system and without using intermediaries in a chain of Exchange communications, wherein the traders include tradable asset users or investors, as the case may be, and market speculators, with the traders possessing the desire to physically deliver or receive tradable assets having practically, rather than absolute, opposite hedging interests vis a vis their Exchange-matched counterparties.

14. An Exchange-traded derivatives based hedging system to match, execute and settle buy and sell orders over an Exchange-controlled network by counterparties desiring to manage asset price volatility risks by trading derivatives contracts linked with a plurality of underlying assets having varying degrees of properties that add to or detract from asset value, all falling within parameters unique to benchmark-specific sets of assets, and complementary differential indexes, formulated to process derivatives contract settlements by physical delivery for counterparties having practically, rather than absolute, opposite hedging interests, the system comprising:
an Exchange-controlled network having at least one host server disposed at a first location, and being in communication with at least two front end virtual servers disposed at second and third locations:
each of the two front end virtual servers including a processor configured to run a plurality of non-transitory, machine executable instructions, and at least one memory in communication with the processor, the memory configured to store the non-transitory, machine executable instructions which when running on the processor:
at least one of the two front end virtual servers configured to collect data for a plurality of tradable assets underlying a particular derivatives contract, wherein the data includes permitted asset types and classes, plus quantitative and qualitative properties applicable to each;
at least one of the two front end virtual servers configured to select tradable assets from the plurality of tradable assets based on the quantitative and qualitative properties of the tradable assets to generate sets of tradable assets comprising tradable asset benchmarks that are formulated for a particular derivatives contract;
at least one of the two front end virtual servers configured to generate weights for use in generating weighted averages, wherein a specific weight for generating a specific weighted average for a particular tradable asset in a specific set of the tradable assets is based on the quantitative properties of each tradable asset relative to the aggregate quantitative properties of all tradable assets in the specific set of tradable assets;
at least one of the two front end virtual servers configured to generate the tradable asset benchmarks formulated for each derivatives contract indicating aggregate properties of the sets of tradable assets, wherein a tradable asset benchmark for a specific one of the sets of tradable assets is generated based on weighted averages of the qualitative properties of the tradable assets in the specific one of the sets of tradable assets;
the host server configured to communicate the tradable asset benchmarks formulated for each derivatives contract to traders, and operating to receive orders for derivatives contracts from the traders' front end virtual servers to buy or sell derivatives contracts based on the tradable asset benchmarks;
the host server processing an order for derivatives contracts based on differences between actual properties of the tradable asset to be physically delivered under the terms of an operative derivatives contract and the aggregate properties indicated by an operative tradable asset benchmark associated with the specific set of tradable assets from which the tradable asset to be physically delivered is a component of;
at least one of the two front end virtual servers periodically receiving updated tradable asset data for each of the tradable assets in the sets of tradable assets, and using the updated tradable asset data to periodically update the tradable asset benchmarks over the Exchange-controlled network; and
a subsystem comprised of at least software, and wherein the subsystem is configured to operate in connection with at least one of the front end virtual servers, the subsystem operative to configure its associated said front end virtual server for Exchange-controlled communications with the host server and other front end virtual servers and to enable the information to be passed along the Exchange-controlled network for purposes of creating the tradable asset benchmarks formulated for derivatives contracts, and for determining or effectuating orders to be placed for the complementary differential index contracts to be presented at a future settlement along with underlying exchange for physical (EFP) contracts being settled by physical delivery.