PATENT ABSTRACT
The description generally describes systems and methods for managing derivative contracts. The system maintains derivative contract states using a set of rules to ensure subsequent post-trade events are applied in the correct order, and without jeopardizing the integrity of the underlying derivative contract. Data about derivative contracts maintained in other environments can be back-loaded into the system to allow all of a user&#39;s contracts to be contained within the system, and data associated with the back-loaded contracts can be governed in the same fashion as existing derivative contracts. Payment processing and settlement can be handled automatically by the system. If a derivative contract in the system has an uncertain state, payment processing on the derivative contract can be initiated by either trading counterparty using payment processing logic.

PATENT DESCRIPTION
CROSS-REFERENCE TO RELATED APPLICATIONS 
       [0001]    This application is a National Phase Application of International Application No. PCT/US2007/068472, filed on May 8, 2007, and titled “Data Storage and Processor for Storing and Processing Data Associated with Derivative Contracts and Trades Related to Derivative Contracts,” which claims the benefit of and priority to U.S. Provisional Application No. 60/798,556, filed on May 8, 2006, and titled “Trade Information Warehouse.” The disclosure of the above applications are incorporated herein by reference in their entirety. 
     
    
     TECHNICAL FIELD 
       [0002]    The description herein relates to a data storage and processor for storing and processing data associated with derivative contracts and trades related to derivative contracts. 
       BACKGROUND 
       [0003]    Derivative contracts can generally be divided into two broad categories: exchange-traded derivative contracts and over-the-counter (OTC) derivative contracts. Exchange-traded derivative contracts are traded through specialized derivative exchanges that act as an intermediary for all related transactions. In contrast, OTC derivative contracts are privately negotiated and traded directly between the parties to the contract and their successors or assignees. OTC derivative contracts, in general, can include swaps, forward rate agreements, exotic options, equities, foreign exchanges (FX), and/or commodities. Credit derivative contracts are a type of OTC derivative contract used to allow trading/hedging of credit risk, and can include total return swaps, credit default swaps, and/or credit linked notes. 
         [0004]    Two related trends are changing the credit derivative contract market. The first trend is rapid growth in trading volumes, development of a robust secondary market, proliferation of new standard trade types, and rapid expansion of market participation to traditional and non-traditional asset managers, as well as insurance, pension and corporate money managers. The second trend is a rapid spread of automated trade confirmation and standardization efforts. There are concerns about the operational ability of the trading parties and counter parties to credit derivative contracts to efficiently administer credit derivative contracts throughout the life of the contracts with respect to, for example, payment, credit event and assignment processing on any asynchronous basis. 
         [0005]    Generally, parties to OTC derivative contracts can administer derivative contracts between themselves on a bilateral basis. This means parties are burdened with constantly “syncing up” data about the derivative contracts and trade events during the life of each derivative contract. Parties “sync up” data not only for accurate reporting of positions and balance sheets, for example, but also to correctly process credit events, payments, margin calls, contract assignments, and/or the like. These “sync up” processes today involve significant human involvement and duplicative reconciliation or resolution processes, both internally at a trader (e.g. a dealer) and between firms (e.g. dealer-dealer or dealer-customer). In addition, each party to a contract is subject to its counterparties&#39; own internal processing. This can be problematic because counterparties&#39; abilities and sophistication can vary, effectively giving control over the derivative contract to the counterparty having the most primitive means. 
         [0006]    Bilateral interaction between the parties can be time consuming due to verbal or ad hoc trade checkouts, portfolio substantiation, tie outs, cash flow reconciliation, modification of assignment through email, and investigation of derivative contract breaks (e.g. non-matching derivative contract records). Bilateral interaction can also be costly, for example, with overhead included in nostro fees (e.g. a turnover fee), nostro breaks, collateral processing, party disputes and investigations, and substantial capital requirements due to inefficient derivative contract dissolutions and portfolio management. Bilateral interaction creates inherent risk, which is compounded by non-standardized systems for storing and processing data. For example, risk exists for a firm in maintaining a correct balance sheet, especially with financial reporting, market risk management, and counterparty credit risk management. Other risks include credit event management such as ad hoc reconciliation and non-standardized data and messaging. These risks are often a result of inaccurate or out-of-date data. 
       SUMMARY 
       [0007]    Accordingly, it is desirable to provide a data storage and processing facility to store and process data which simplifies and corrects downstream processing flows automatically based on verified data in the storage and processing facility. 
         [0008]    The present application provides a data storage and processing facility to store and process data for derivative contract downstream processing. The data storage and processing facility maintains derivative contract states using a set of rules to ensure subsequent post-trade events are applied in the correct order without jeopardizing the integrity of the underlying derivative contract or data associated therewith. Derivative contracts previously maintained in other environments can be back-loaded into the data storage and processing facility to allow all of a user&#39;s derivative contracts to be contained within the system. Once in the system, back-loaded contracts can be governed in the same fashion as existing derivative contracts. A party to a derivative contract can initiate payment processing, and the data storage and processing facility notifies the derivative contract parties affected by the transaction. Payment processing and settlement can be handled automatically by the data storage and processing facility. If a derivative contract in the system has an uncertain state and can not be processed by the data storage and processing facility, payment processing can be initiated by trading counterparties for a derivative contract. 
         [0009]    In general, in one aspect, the invention features a computer system. The computer system includes a first computer data storage module to store a first signal indicative of a first trade event for a first derivative contract and a set of rules. The computer system includes a first data processor module to receive the first signal. The computer system includes a second data processor module to determine whether the first trade event is associated with an existing derivative contract or with a new derivative contract. The computer system includes a third data processor module to assign a first unique identifier to the first derivative contract if the trade event is associated with a new derivative contract. The computer system includes a fourth data processor module to associate a set of rules with the first derivative contract. The computer system includes a fifth data processor module to determine a current state of the first derivative contract based on information stored in the computer data storage or the set of rules. 
         [0010]    In general, in another aspect, the invention features a back-loading system. The back-loading system includes a first data processor module to receive a signal associated with a derivative contract not previously stored in a computer data storage. The back-loading system includes a second data processor module to assign at least one of a unique identifier or an effective date to the derivative contract. The back-loading system includes a data storage module to store data associated with the derivative contract. 
         [0011]    In general, in another aspect, the invention features a method. The method involves receiving a first signal indicative of a first trade event for a first derivative contract. The method involves determining whether the first trade event is associated with an existing derivative contract or a new derivative contract. The method also involves assigning a first unique identifier to the first derivative contract if the first trade event is associated with a new derivative contract. The method involves associating a set of rules with the first derivative contract and determining a current state of the first derivative contract based on at least one of information stored in a computer data storage or the set of rules. 
         [0012]    In general, in another aspect, the invention features a computer program product, tangibly embodied in an information carrier, the computer program product including instructions being operable to cause a data processing apparatus to receive a signal indicative of a trade event for a derivative contract. The computer program product includes instructions operable to cause a data processing apparatus to determine whether the signal is associated with an existing derivative contract or with a new derivative contract. The computer program product includes instructions operable to cause a data processing apparatus to assign a unique identifier to the trade event if the trade event is associated with a new derivative contract. The computer program product includes instructions being operable to cause a data processing apparatus to associate a set of rules with the derivative contract and to cause a data processing apparatus to determine a current state of the derivative contract based on information stored in a computer data storage or the set of rules. 
         [0013]    In general, in another aspect, the invention features a system. The system includes a data storage means for storing a signal indicative of a trade event for a derivative contract and a set of rules. The system includes a first data processing means for receiving the signal. The system includes a second data processing means for determining whether the trade event is associated with an existing derivative contract or a new derivative contract. The system includes a third data processing means for assigning a unique identifier to the trade event if the trade event is associated with a new derivative contract. The system includes a fourth data processing means for associating a set of rules with the derivative contract. The system includes a fifth data processing means for determining a current state of the derivative contract based on at least one of information stored in a computer data storage, or the set of rules, or both. 
         [0014]    In other embodiments, any of the above aspects can include one or more of the following features. In some embodiments, a sixth data processor module receives a second signal associated with a second derivative contract not previously stored in the computer data storage. A seventh data processor module can be adapted to assign at least one of a second unique identifier or an effective date to the second derivative contract. A second computer data storage module can store the second derivative contract, effective date, second unique identifier, or any combination of these. In some embodiments, a seventh data processor module is adapted to associate one or more subsequent trade events with the second derivative contract based on either the effective date, the one or more subsequent trade events, the set of rules, or any combination of these. 
         [0015]    In some embodiments, a computer data processor includes multiple data processor modules, e.g. including the first data processor module, second data processor module, third data processor module, fourth data processor module, fifth data processor module, or any combination of these. In some embodiments, a computer data processor comprises the first data processor module and second data processor module. 
         [0016]    The current state can include at least one of an unconfirmed state, an alleged state, a certain state, a confirmed state, or any combination of these. In some embodiments, the current state is determined to be the uncertain state when the first trade event causes a notional amount to become less than zero. 
         [0017]    In some embodiments, a party to the first derivative contract is notified of the current state, and the current state is changed from the uncertain state in response to either receipt of a subsequent trade event or receipt of corrective information. The set of rules includes a general validation rule or a special validation rule. In some embodiments, the general validation rule includes a rule adapted to verify a trade date is not a future date, verify a first payment date is not earlier than the trade date, verify one or more post-trade dates will occur on or after an original trade date, verify one or more post-trade effective dates will occur on or after an original trade effective date, verify one or more post-trade event payable dates will not occur before one or more corresponding post-trade trade dates, or any combination of these. 
         [0018]    In some embodiments, the special validation rule includes a rule adapted to queue the first trade event if the first trade event was received before the current state of the first derivative contract is in a confirmed state or to release the first trade event from the queue upon receiving a second signal causing the current state of the first derivative contract to be the confirmed state. 
         [0019]    A second signal indicative of a second trade event not associated with a second derivative contract in the computer data storage can be received. In some embodiments, the second trade event is refused (e.g. not accepted). In some embodiments, the set of rules is stored in the computer data storage. 
         [0020]    The first trade event can include a new trade, a partial termination of the first derivative contract, a full termination of the first derivative contract, a partial assignment of the first derivative contract, a full assignment of the first derivative contract, a partial novation of the first derivative contract, a full novation of the first derivative contract, an increase in the obligation of the first derivative contract, an amendment to the terms of the first derivative contract, an exit of the first derivative contract, or any combination of these. 
         [0021]    In some embodiments, the amendment does not change an identity of a party to the first derivative contract. An assignment can include a novated amount comprising a first amount that is less than or equal to an amount of the first derivative contract, a second amount that is a sum of one or more amounts of one or more amounts inputted by one or more parties and is less than or equal to a notional amount, or any combination of these. 
         [0022]    In some embodiments the first derivative contract is an over-the-counter derivative contract. In some embodiments, the over-the-counter derivative contract is a credit derivative contract. 
         [0023]    A second signal can be received where the second signal is associated with a second derivative contract not previously stored in the computer data storage. In some embodiments, a second unique identifier or an effective date is assigned to the second derivative contract. The second derivative contract can be stored in the computer data storage. 
         [0024]    In some embodiments, a set of subsequent trade events is associated with the second derivative contract based on the effective date, the set of subsequent trade events, the set of rules, or any combination of these. 
         [0025]    The effective date can be agreed-upon by two or more parties to the second derivative contract. In some embodiments, the second signal includes one or more trade events dated on or before the effective date. The second signal does not always include one or more trade events dated after the effective date. 
         [0026]    In some embodiments, the system one or more signals indicative of a subsequent trade event for the second derivative contract where the subsequent trade event has an effective date preceding the effective date of the second derivative contract are refused acceptance. 
         [0027]    In general, in one aspect, the invention features computer system. The computer system includes a computer data storage module to store information associated with a plurality of derivative contracts. The computer system includes a first data processor module to identify, based on a criterion, a first set of derivative contracts of the plurality of derivative contracts stored in the computer data storage. The computer system includes a second data processor module to identify a subset of derivative contracts from the first set of derivative contracts. The computer system includes a third data processor module to send a notification based on a change in a set of parameters at a predetermined time to one or more parties to a derivative contract from the subset of derivative contracts. The computer system includes a user interface module in communication with the data processor to communicate information received from a user via a template to the data processor. 
         [0028]    In another aspect, the invention relates to a method. The method involves identifying, based on a criterion, a first set of derivative contracts stored in a computer data storage. The method involves identifying a subset of derivative contracts from the first set of derivative contracts. The method involves transmitting a notification based on a change in a set of parameters at a predetermined time to one or more parties to a derivative contract of the subset of derivative contracts. 
         [0029]    In another aspect, the invention relates to a computer program product, tangibly embodied in an information carrier, the computer program product including instructions being operable to cause a data processing apparatus to identify, based on a criterion, a first set of derivative contracts stored in a computer data storage. The computer program product includes instructions operable to cause a data processing apparatus to identify a subset of derivative contracts from the first set of derivative contracts and to send a notification based on a change in a set of parameters at a predetermined time to one or more parties to a derivative contract of the subset of derivative contracts. 
         [0030]    In another aspect, the invention features a system. The system includes a data storage means for storing information associated with a derivative contract. The system includes a first data processing means for identifying, based on a criterion, a first set of derivative contracts stored in the computer data storage. The system includes a second data processing means for identifying a subset of derivative contracts from the first set of derivative contracts. The system includes a third data processing means for sending a notification based on a change in a set of parameters to one or more parties to a derivative contract of the subset of derivative contracts. The system includes a communication means to communicate information received from a user via a template to the data system. 
         [0031]    In some embodiments, any of the aspects above can include one or more of the following features. In some embodiments, the user interface module includes a graphical user interface module, a spreadsheet module, a computer-to-computer interface module, or any combination of these. A fourth data processor module can be configured to generate a second set of flagged contracts specific to a first user or one or more additional users, where the first user or additional users are parties to at least one derivative contract in the subset of derivative contracts. The fourth data processor module can also be configured to assign a determination date upon transmitting the notification. The determination date is indicative of the date on which a response to the notification is required. In some embodiments, a computer data processor comprises the first data processor module, the second data processor module, and the third data processor module. 
         [0032]    In some embodiments, the criterion includes the set of parameters. The criterion can be a credit event. The notification can be transmitted in response to the flag. 
         [0033]    Some embodiments feature information being received from a user in a template through an interface. The first set of derivative contracts can be identified in response to a query by the user. In some embodiments, the information entered into the template comprises data external to the computer data storage, publicly available information, a credit event, or any combination of these. Examples of credit events include bankruptcy, failure to pay an owed amount, restructuring of a derivative contract, or any combination of these. 
         [0034]    In some embodiments, the interface encompasses a graphical user interface, a spreadsheet, a computer-to-computer interface, or any combination of these. A signal indicative of a trade event can be received and a second set of contracts can be flagged by a first user or additional users and can be generated in response to the signal. 
         [0035]    A trade event can include a user request, a lapse of time, a criterion being satisfied, or any combination of these. In some embodiments, a second subset of derivative contracts specified by a user or additional users is generated and the first user or additional users is a party to at least one contract in the second subset of contracts. 
         [0036]    In some embodiments, the notification is associated with the subset of derivative contracts or the information entered into a template. The first set of derivative contracts can be over-the-counter derivative contracts. Examples of over-the-counter derivative contracts includes credit derivative contracts. 
         [0037]    In general, in one aspect, the invention features a computer system. The computer system includes a first data processor module to receive a first signal from a first party to a derivative contract. The first signal is indicative of a request to initiate processing of a payment owed on the derivative contract where the derivative contract is in an unconfirmed state. The computer system includes a second data processor module to transmit a second signal to a second party to the derivative contract. The second signal is indicative of a request for acceptance of processing of payment. The computer system includes a third data processor module to receive a third signal indicative of an acceptance from the second party. The computer system includes a fourth data processor module to verify that a first derivative contract record and a second derivative contract record are associated with the derivative contract. The fourth data processor module also verifies that the first derivative contract record and second derivative contract record are associated with a common derivative contract event. The computer system includes a fifth data processor module to transmit a fourth signal to the first party and second party of the derivative contract indicative of initiating payment. The computer system includes a sixth data processor module to calculate a payment owed between the first party and second party based on the derivative contract. The computer system includes a first computer data storage module to store information associated with the derivative contract. 
         [0038]    In another aspect, the invention features a method. The method involves receiving a first signal from a first party of a derivative contract. The he first signal is indicative of a request to initiate processing of payment owed on the derivative contract where the derivative contract is in an unconfirmed state. The method involves transmitting a second signal to a second party of the derivative contract. The second signal is indicative of a request for acceptance of processing of payment. The method also involves, in response to receiving a third signal indicative of an acceptance from the second party, verifying that a first derivative contract record and a second derivative contract record are associated with the derivative contract or the first derivative contract record. The method involves determining that the second derivative contract record corresponds to a common derivative contract event. The method involves transmitting a fourth signal to the first party and second party of the derivative contract indicative of initiating payment processing. The method involves calculating a payment owed between the first party and second party based on the derivative contract. 
         [0039]    In another aspect, the invention features a computer program product, tangibly embodied in an information carrier, the computer program product including instructions being operable to cause a data processing apparatus to receive a first signal from a first party of a derivative contract. The first signal is indicative of a request to initiate processing of a payment owed on the derivative contract where the derivative contract is in an unconfirmed state. The computer program product includes instructions operable to cause a data processing apparatus to transmit a second signal to a second party of the derivative contract. The second signal is indicative of a request for acceptance of processing of payments. The computer program product includes instructions operable to cause data processing apparatus to, in response to receiving a third signal indicative of an acceptance from the second party, verify that the first derivative contract record and second derivative contract record are associated with the same derivative contract or that the first derivative contract record and second derivative contract record correspond to a common derivative contract event. The computer program product includes instructions operable to cause data processing apparatus to transmit a fourth signal to the first party and second party of the derivative contract. The computer program product includes instructions being operable to cause data processing apparatus to calculate a payment owed between the first party and second party based on the derivative contract. 
         [0040]    In another aspect, the invention features a system. The system includes a first data processing means for receiving a first signal from a first party of a derivative contract. The first signal is indicative of a request to initiate processing of a payment owed on the derivative contract where the derivative contract is in an unconfirmed state. The system includes a second data processing means for transmitting a second signal to a second party of the derivative contract. The second signal is indicative of a request for acceptance of processing of payment. The system includes a third data processing means for receiving a third signal indicative of an acceptance from the second party. The system includes a fourth data processing means for verifying that the first derivative contract record and second derivative contract record are associated with the derivative contract or that the first derivative contract record and second derivative contract record correspond to a common derivative contract event. The system includes a fifth data processing means for transmitting a fourth signal to the first party and second party of the derivative contract. The system includes a sixth data processing means for calculating a payment owed between the first party and second party based on the derivative contract. The system includes a data storage means for storing trade information associated with an over the counter derivative contract. 
         [0041]    In other examples, any of the aspects above can include one or more of the following features. A unique identifier can be assigned to the first and second derivative contract records (e.g. by a seventh data processor). The unique identifier can be stored in a second data storage. A second computer data storage can be configured to store the unique identifier. 
         [0042]    The seventh data processor module can be configured to transmit a fifth signal to the initiating party indicative of the rejection in response to the third signal being indicative of a rejection of processing by the second party. 
         [0043]    In some embodiments, the payment is calculated based on an obligation in the first or second derivative contract record where the first or second contract record is a legally reliable record in a confirmed state. A fifth signal is received from a first party or an additional party indicative of a cash flow for a non-legal derivative contract record. In some embodiments, an eighth data processor module verifies the cash flow is associated with an existing non-legal derivative contract record in the first computer data storage. In some embodiments, the cash flow is matched (e.g. by a ninth data processor module). 
         [0044]    In some embodiments a payment is calculated by associating a first field specified in a derivative trade record. Payment can be calculated by netting two or more amounts payable by the second party to the first party on the derivative contract where the two or more amounts payable have the same payment date. In some embodiments, the derivative contract is accessible to a custodian or administrator of the first or second party for making the payment. 
         [0045]    In some embodiments, a computer data processor includes multiple data processor modules, such as the first data processor module, the second data processor module, the third data processor module, the fourth data processor module, the fifth data processor module, and the sixth data processor module. 
         [0046]    The derivative contract can be an over-the-counter derivative contract. The over-the-counter derivative contract can be a credit derivative contract. In some embodiments, the derivative contract event includes a new trade, a partial termination of the derivative contract, a full termination of the derivative contract, a partial assignment of the derivative contract, a full assignment of the derivative contract, a partial novation of the derivative contract, a full novation of the derivative contract, an increase of the derivative contract, an amendment to the terms of the derivative contract, an exit of the derivative contract, or any combination of these. 
         [0047]    In some embodiments, a unique identifier is assigned to the first derivative contract record and second derivative contract record. In some embodiments, a fifth signal is transmitted to the first party indicative of the rejection in response to the third signal being indicative of a rejection of processing by the second party. 
         [0048]    The first derivative contract record and second derivative contract record can be in an unconfirmed state (e.g. prior to payment processing) due to an unconfirmed trade event, a confirmed trade event received out-of-order, or any combination of these. 
         [0049]    In some embodiments, the payment is calculated based on an obligation in a derivative contract record where the contract record being a legally reliable record in a confirmed state. A fifth signal can be received from a first party or any other party, where the fifth signal is indicative of a cash flow for a non-legal derivative contract record. In some embodiments, the cash flow is verified to be associated with an existing non-legal derivative contract record in a computer data storage. In some embodiments, the cash flow is matched. 
         [0050]    In some embodiments, the non-legal derivative contract record is associated with a derivative contract record not constituting a legally reliable record. The payments can be settleable by a coupon, a fee, a one-time premium, an up-front payment, or any combination of these. 
         [0051]    In some embodiments, calculating involves associating a field specified in a derivative trade record. Calculating can involve associating a field specified in the derivative contract record or netting two or more amounts payable by the second party to the first party for the derivative contract where the two or more amounts payable have the same payment date. 
         [0052]    The derivative contract can be accessible to a custodian or administrator of the first or second party to make the payment. In some embodiments, the custodian or administrator acts on behalf of the first or second party to the derivative contract in making the payments. 
         [0053]    The details of one or more examples are set forth in the accompanying drawings and the description below. Further features, aspects, and advantages of the invention will become apparent from the description, the drawings, and the claims. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0054]      FIG. 1  is a view of a system for carrying out principles of a data storage and processing facility embodying the system. 
           [0055]      FIG. 2  is a block diagram of the logical components of the data storage facility of  FIG. 1 . 
           [0056]      FIG. 3  is a data flow diagram illustrating data flow in a derivative contract processing and storage system. 
           [0057]      FIG. 4  is an exemplary data structure for storing and processing data associated with a derivative contract. 
           [0058]      FIG. 5  is a screen shot of an exemplary display for use in the system of  FIG. 1 . 
           [0059]      FIG. 6  is an exemplary user interface for entry of data by a trading counterparty in the system of  FIG. 1 . 
           [0060]      FIG. 7  is a flow chart depicting exemplary processing of a signal indicative of a trade event for a derivative contract. 
           [0061]      FIG. 8  is a flow chart depicting exemplary processing of a signal indicative of a trade event for a derivative contract in an unconfirmed state. 
           [0062]      FIG. 9  is a flow chart depicting illustrative processing of a signal indicative of a derivative contract that is not previously stored. 
           [0063]      FIG. 10A  is a block diagram of an exemplary system for processing a credit event notification. 
           [0064]      FIG. 10B  is an exemplary data structure for processing queries of derivative contracts in a database. 
           [0065]      FIG. 10C  is an exemplary user interface allowing a user to specify a set of derivative contracts for notification processing. 
           [0066]      FIG. 11  is a block diagram illustrating exemplary data flow for payment processing. 
           [0067]      FIG. 12  is a flow chart depicting a payment process for a derivative contract. 
           [0068]      FIG. 13  is a flow chart depicting a verification process initiated by the payment of processing of  FIG. 12 . 
       
    
    
     DETAILED DESCRIPTION 
       [0069]      FIG. 1  depicts a view of a system  100  for carrying out principles of the processes described herein. The system  100  includes a data storage facility  110 . The data storage facility  110  provides data storage and processing for the system  100 , including, automated post trade support for over-the-counter (OTC) derivative contracts. Although the description refers to OTC derivative contracts and associated events generally as “derivative contracts” and “credit events,” the data storage facility  110  may support swaps, forward rate agreements, exotic options, equities, foreign exchanges (FX), commodities, and various other types of OTC derivative contracts. The data storage facility  110  includes a database  112  in communication with a central processing unit (CPU)  114 . The system  100  also includes two trading counterparties  120 A and  120 B that communicate with each other, the data storage facility  110 , and a third party  140  over a communication network  130 . 
         [0070]    The CPU  114  can include an interface (not shown) that is accessible over the communications network  130  to the trading counterparties  120 A &amp;  120 B and the third party  140 . The interface can be, for example, a web-based interface that allows interested parties to provide data to the database  112  or view data stored in the database  112 . An example of a suitable interface is the DTCC Deriv/SERV service offered DTCC Deriv/SERV, a wholly owned subsidiary of Depository Trust &amp; Clearing Corporation of New York, N.Y. Deriv/SERV is an interface that provides matching and confirmation for approximately 80% of all global credit default swaps. The data storage facility  110  stores data associated with one or more derivative contracts in the database  112 . Examples of data stored in the database  112  includes the contract date, a unique contract identifier, payment information, settlement information, trading counterparties, the contract state, and/or the like. 
         [0071]    The contract state is associated with the current status of the derivative contract from the perspective of the data storage facility  110 . For example, if one trading counterparty  120 A submits data (e.g. via a signal) to the data storage facility  110  but the trading counterparty  120 B has not verified the information (e.g. via a verification signal), the derivative contract state is associated with an uncertain contract state. After the trading counterparty  120 B verifies the data from the first trading counterparty  120 A, the CPU  114  updates the derivative contract state to show the derivative contract has been verified based on a verification signal sent from  120 B. The CPU  114  interacts with the data storage facility  110  via instructions and commands based on signals received over the communications network  130 . The data storage facility  110  can also store data associated with derivative contract position maintenance, derivative contract back-loading, derivative contract credit event processing, derivative contract payment processing, maintaining the contract state of the derivative contract, and/or the like. 
         [0072]    Trading counterparty  120 A and trading counterparty  120 B, collectively trading counterparties  120 , communicate with the data storage facility  110  through the communication network  130 . The communication network  130  can be over a local area network (LAN), a wide area network (WAN), the Internet, a public or private network, the public switched telephone network (PSTN), and can include both wired and wireless networks, or any other communication network. The system  100  also includes a third party  140  in communication with the data storage facility  110  via the communications network  130 . The third party  140  includes a CPU  142  in communication with a database  144 . 
         [0073]    The third party could be, for example, an agent to a trading counterparty  120 , a custodian of the trading counterparty  120 , an administrator of the trading counterparty  120 , or a vendor unrelated to the trading counterparty  120  offering complementary services to the trading counterparty  120 . The third party  140  can be acting, for example, on behalf of one of the trading counterparties  120  or the trading counterparty&#39;s customers. The CPU  142  of the third party  140  can send a signal to the data storage facility  110  to make payments on a derivative contract, provide verification of credit event data stored in the database  144  to the data storage facility  110 , transfer instructions or a signal to the data storage facility  110  from a Nostro account, back-load derivative contracts to the data storage facility  110 , or transmit other signals that can change data in the data storage facility  110 . The database  144  can store, for example, Nostro account information, log-in privileges for the data storage facility  110 , public records of credit events, or other information or data useful for data processing in the system  100 . 
         [0074]      FIG. 2  is a block diagram of a logical system  150  of the data storage facility  110  of  FIG. 1 . The logical system  150  includes a confirm new data logic module  160  component. The confirm new data logic module  160  can be stored in the database  112  and executed on the CPU of the data storage facility  110 . The confirm new data logic module  160  handles the receipt of signals at the data storage facility  110  and can apply information from the signal to an existing derivative contract stored in the database  112  or create a new derivative contract entry in the database  112 . The credit event logic module  170  can be stored in the database  112  and executed on the CPU of the data storage facility  110 . The credit event logic module  170  handles the receipt of signals at the data storage facility  110  indicative of credit event occurrences which trigger derivative contract association rules stored in the database  112 . 
         [0075]    The logical system  150  includes a settlement logic module  180  component and a back-load data logic module  190  component, which can be stored in the database  112  and executed by the CPU of the data storage facility  110 . The settlement logic module  180  component can facilitate, for example, initiation of initiate payment processing on derivative contracts stored in the database  112  between trading counterparties  120  and verification of payments upon receipt of the appropriate signal at the data storage facility  110 . The back-load data logic  190  component allows a trading counterparty  120  to load (or store) data associated with previously un-stored derivative contract records into the data storage facility  110 . Upon back-loading data associated with a derivative contract through the back-load data logic module  190 , the data storage facility  110  (e.g. through the CPU  114 ) can apply the credit event logic  170 , settlement logic  180 , and confirm new data logic  160  to the back-loaded derivative contract, for example, upon receipt of new signals related to the back-loaded derivative contract. 
         [0076]    The confirm new data logic module  160  can include, for example, steps or instructions to query or search the database  112  to determine if a received signal is associated with a currently stored derivative contract in the database  112 . The new data logic module  160  can also assign a unique reference identifier to the signal (or information carried by the signal) if the signal is not associated with a derivative contract stored in the database  112 . The new data logic module  160  can also handle the receipt of signals for a derivative contract that are received in the wrong order. The new data logic module  160  can also maintain a representation of the current state of the derivative contract. For example, when a new derivative contract is submitted to the data storage facility  110  by a trading counterparty  120 , data associated with the derivative contract is received and processed by the CPU  114 , which can assign a unique identifier to the data and store it in the database  112 . Derivative contract state maintenance is further discussed with reference to  FIGS. 7-8 . 
         [0077]    The CPU  114  uses the credit event logic  170  upon receipt of a new credit event at the data storage facility  112 . For example, the data storage facility  112  can receive data associated with the new credit event. The CPU  114  processes the data (e.g. credit event) using the credit event logic module  170  record, updates the underlying derivative contract record accordingly, and stores the updated derivative contract record in the database  112 . The data storage facility  110  can also maintain, for example, both full legal records and non-legal records of derivative contracts. Full legal records can, for example, be relied upon as a legal embodiment of the derivative contract since the derivative can be legally confirmed. Legal records are important because they can be accessed by a third party  140  (e.g. outside auditors) and relied on as a full legal embodiment of the derivative contract. An exemplary list of the derivative contract records which can be confirmed legally and are stored in the data storage facility  110  are depicted below in Table 1: 
         [0000]    
       
         
               
               
               
               
             
           
               
                   
                 TABLE 1 
               
               
                   
                   
               
               
                   
                 Trade Type 
                 Legal Record 
                 Tie-out Record 
               
               
                   
                   
               
             
             
               
                   
                 Credit Default Swap 
                 YES 
                 NO 
               
               
                   
                 Credit Default Index 
                 YES 
                 NO 
               
               
                   
                 Tranche 
                 YES 
                 NO 
               
               
                   
                 Credit Default Index 
                 YES 
                 NO 
               
               
                   
                 Pay as you go 
               
               
                   
                 Others 
                 NO 
                 YES 
               
               
                   
                   
               
             
          
         
       
     
         [0078]    Referring to Table 1, the “Trade Type” column gives an exemplary list of different credit derivative contracts. The “Trade Type” column identifies types of trades stored in the database  112 . The “Legal Record” column designates whether the corresponding “Trade Type” is a legal record. An entry of “YES” can be indicative that a trade type can be legally confirmed. An entry of “NO” can be indicative that a trade type can not be legally confirmed. The “Tie-out Record” column identifies whether the corresponding “Trade Type” is a tie-out, or non-legal, record. An entry of “YES” indicates that the data record is a tie-out record. An entry of “NO” in this column indicates the trade type is not a legal record. 
         [0079]    For the first “Trade Type,” a “CDS,” or credit default swap, can be a single name CDS traded under the International Swaps and Derivatives Association, Inc. (ISDA), which is a global trade association for OTC derivative contracts. The CDS can be traded, for example, under the ISDA Master Confirmation Agreements or the ISDA Physical Settlement Matrix. A “vanilla” CDS, for example, is a more simple, well-understood trade option which is more clearly defined through industry standards than other CDS transactions. The CDS can be embodied in, for example, the 2003 ISDF Credit Derivatives Definitions, which are intended for use in confirmations of individual transactions of CDS events. CDS trade types are typically legal records (e.g. legally confirmable by a third party). 
         [0080]    The second “trade type” in the table is a credit default index, or “CD Index.” CD Indexes can be traded under, for example, standardized Master Confirmation Agreements or Standard Terms Supplements published by an index sponsor, such as the “Supplement to the 1999 ISDA Credit Derivatives Definitions on Successor and Credit Events for Credit Derivatives.” There are generally two main families of CD Indexes, for example, such as CDX, which includes or lists North American and Emerging Market companies, and iTraxx, which contain companies from the rest of the world. CD Index trades are typically legal records and not tie-out records. 
         [0081]    A “Tranche” trade type is, for example, one of several related scrutinized bonds offered as part of the same deal, which together make up what is often referred to as the deal&#39;s capital structure or liability structure. A tranche is a legal record and not a tie-out record. A “CD Index Pay as you go” trade type, is, for example, a CD Index involving ongoing, bilateral payments between trading counterparties (e.g. buyer and seller). The CD Index can be based on, for example, CMBX, which is a group of indices consisting of twenty-five commercial mortgage backed securities (CMBS) tranches. The CD Index can be, for example, the ABX index which represents a group of credit default swaps on high-risk mortgages and home equity loans. “Pay as you go” CD Indexes are typically legal records and not tie-out records. 
         [0082]    “Other” trade types are typically not legally confirmable and are depicted as “tie-out” records. A “tie-out” record, for example, can be a derivative contract that is not yet fully supported by the data storage facility  110 , but may become a full legal record upon full support for the particular derivative being implemented in the data storage facility  110 . Non-legal records can include, for example, a commercial mortgage backed securities (CMBS), an asset backed security (ABS), a Credit Derivative on Loan, Collateralized Debt Obligation (CDO), and/or a Credit Default Swap (CDS) Option. 
         [0083]    Referring to  FIG. 2 , when a credit event is triggered (e.g., by a signal sent from a counter party  120  to the data storage facility  110  over the communication network  130 ) a payment is due by a trading counterparty  120 . Both trading counterparties  120 A,  120 B are notified of the event occurrence. Upon the data storage facility  110  receiving the payment from the first trading counterparty  120 A, the CPU  114  processes the payment, updates the database record for the particular derivative contract, stores the updated derivative contract information in the database  112 , and notifies the trading counterparties  120 A,  120 B of successful payment processing. Derivative contract credit event processing is further discussed below with reference to  FIGS. 10A-10C . 
         [0084]    The settlement logic module  180  is used, for example, when a trading counterparty  120  initiates payment processing for a derivative contract stored in the data storage facility  110  when the data storage facility does not automatically initiate payment processing, based on, e.g., the contract state stored in the database  112 . For example, if a derivative contract record is in an uncertain state, trading counterparty  120 A can initiate payment by sending a signal to the data storage facility  110  indicative of a payment request. The CPU  114  can use the settlement logic module  180  to handle the payment request. The settlement logic module  180  can direct the CPU  114  to notify the trading counterparties  120 A,  120 B of the payment request by transmitting signals or messages to the trading counterparties  120 . The payment process is further discussed below in  FIGS. 11-13 . 
         [0085]    The back-load data logic module  190  is executed by the CPU  110  upon receipt of data associated with a derivative contract not yet stored in the data storage facility  110 . A derivative contract can be back-loaded, e.g., by either the trading counterparty  120  or a third party  140 . For example, a trading counterparty  120  can send data associated with the derivative contract to the data storage facility  110 . The derivative contract is then processed by the CPU  114  using the back-load data logic module  190 , and the CPU  114  stores the record of the back-loaded derivative contract in the database  112 . The back-load data logic module  190  can include instructions or functions related to, for example, verifying the derivative contract is not stored in the database  112 , assigning a unique trade identifier to the derivative contract data, setting or establishing the contract state of the back-loaded derivative contract, or assigning a back-load effective date to the back-loaded derivative contract. Derivative contract back-loading is further discussed below with reference to  FIG. 9 . 
         [0086]      FIG. 3  is a data flow diagram  300  illustrating an example of data flow in a derivative contract processing and storage system  200 . The system  200  can incorporate components or modules from  FIGS. 1 and 2 . The system  200  includes the data storage facility  110  of  FIG. 1 . The trading block  202  represents a derivative contract that is traded between trading counterparties (e.g. the trading counterparties  120  of  FIG. 1 ). After the derivative contract and terms are agreed-upon, data associated with the derivative contract is captured (e.g., by the trade capture block  204 ). The derivative contract trade can be confirmed electronically in the confirmation block  206 . The trading counterparties can transmit documentation  208  for support at the confirmation block  206 , which can include, for example, third-party references, publicly available information (PAI), and confirmation templates. 
         [0087]    The system  200  includes a back-loading block  210 , which involves loading current state records of previously-executed derivative contract trades from a back office  212 . The back-loading block  210  transmits or feeds data to the data storage facility  110 . A middle office  214  is connected to the data storage facility  110  to facilitate, for example, linking derivative contract records or data to settle fees. The middle office  214  can also facilitate participation in credit event processing  216 . External trade confirmation sources  218  can be used in conjunction with the credit event processing block  216  to verify derivative contract post-trade events and data. For example, in response to a credit event, the data storage facility  110  calculates the resulting payments due on the derivative contract in the cash flow generation block  220 . The cash flow generation block  220  calculates payments due for derivative contracts depending on the contract state or type. In some embodiments, the cash flow generator  220  calculates payments automatically in response to receiving a signal from a trading counterparty. 
         [0088]    Derivative contracts that do not qualify for automatic payment calculation through the cash flow generation unit  220  can be submitted from a back office  222 A to the cash flow netting block  224 . The cash flow notification netting block  224  can net multiple payments due for a particular trading counterparty on one or more derivative contracts. The cash flow netting block  224  transmits data to the settlement block  226  to resolve payments between the trading counterparties to the derivative contract. The settlement block  226  is monitored by a back office  222 B. The back office  222 B can in some embodiments be both independent from the back office  222 A, located at the same back office or computer system. The back office  222 B can also transmit payments to the settlement block  226 . Additionally, the settlement block  226  can facilitate data associated with transfers from the party A nostro  228 A and the party B nostro  228 B, collectively party nostros  228 . In some embodiments, the settlement block  226  facilitates automated transfer to allow for easy cash management without foreign currency conversion. 
         [0089]    The data storage facility  110  can maintain data associated with the current state of multiple derivative contracts. Legally confirmable new trades that are electronically confirmed through the confirmation block  206  or submitted to the data storage facility  110  through the back-loading block  210  can be considered new contracts or data. For full legal records, the data storage facility  110  can calculate settlement values for derivative contracts in a confirmed current state  282  through the cash flow generation block  220  of  FIG. 3 , net settlements in the cash flow netting block  224 , and manage the settlements in the settlement block  226 . The data storage facility  110  can use the derivative contract record or information received from a third party (e.g. an agreed-upon third party) to calculate the payments due on a derivative contract. For non-legal records, settlements can be submitted to the cash flow netting block  224  through the back office  222 A. The settlement  226  unit can then transfer funds from a party nostro  228  account or other agreed-upon custodian bank account or accounts. 
         [0090]    The data storage facility  110  can also perform calculation of payments made on derivative contracts with an unconfirmed current state  282 . For example, trading counterparties  120  can link (e.g. via a user interactive interface) one or more unmatched warehouse data structures  250  that relate to new trades or post trade events. If the terms of linked records relate to fees, such as the initial fee field  260  match the data storage facility  110  can compute payment values between the counterparties based on the matched values regardless of whether the derivative contract is in an unconfirmed current state  282 . If, for example, data structures  250  are linked to facilitate settlement but are ultimately confirmed with different payment field values, the data storage facility  110  can calculate new amounts based on the trades with a confirmed current state  282  or reverse the original amounts settled. 
         [0091]      FIG. 4  is an exemplary data structure  250  used in a data storage facility for storing and processing data associated with a derivative contract and trading events. If a field is described as a matching field, the value in a field of the data structure  250  is the same as the value for a corresponding field in a corresponding data structure. Fields can be matching fields upon submission of the trade record warehouse data structure  250  to the data storage facility  110 . The data structure  250  includes the asset class field  252  which can have values corresponding to credit, rates, or equities. A party submitting a trade record is recorded in the submitting party field  254 , along with a unique trading identifier for the submitting party. The counterparty to the derivative contract is identified in the counterparty field  258 , and the initial payment or fee due for the derivative contract is identified in the initial fee field  260 . The fixed rate field  264  contains a value for the fixed rate. Some embodiments feature a floating rate index, spread, or non-fixed value that can fluctuate. The type of trade is stored in the type of trade field  264 , which can be a Credit Default on Loan, collateralized debt obligation, or credit default swap. The type of trade field  264  can also include, for example, “other” for a non-legal record because the data storage facility  110  can store and process any type of derivative contract. The notional amount field  226  identifies a value for a quantity of the underlier to which the derivative contract applies. 
         [0092]    Applicable date values for the derivative contract are stored in the trade date field  268 , effective date field  270 , and termination date field  272 . The buyer or seller of the derivative contract  264  field identifies the trading counterparty  120  (e.g buyer or seller) roles that are assigned for the derivative contract. The free text field  276  allows free-form or non-matching text to be entered into the data structure (e.g., to provide any additional information to a trading counterparty that is not represented in the data structure. 
         [0093]    If the risk levels of the derivative contract have been allocated between counter parties, the attachment point and detachment point or exhaustion point can be stored in the attachment and exhaustion points field  278 . The additional information field  280  can be used for parties to insert relevant information and can be a matching or non-matching field depending on the data entered. If the trading counterparties  120  or the data storage facility  110  use the additional information field  280  for a particular type of information and determine the information to be useful for a derivative contract input, a new field can be created in the data structure  250  to represent the new/useful information. Thus, the additional information field  280  can be used to determine new fields to add in the data structure  250  or the data storage facility  110 . The current state field  282  can be used by the data storage facility  110  to maintain the contract state throughout the lifecycle of the derivative contract for post-trade event processing. 
         [0094]    Referencing  FIG. 3 , post trade events relating to new derivative contracts can result in modification of the current state  282  of the data structure  250  for the derivative contract associated with the received data. Post trade events can be confirmed in the confirmation block  206  through, for example, an electronic confirmation service for assignments, terminations, and/or amendments that notify the data storage facility  110 . Post-trade events can also be updated in a database record ( 250 ) upon being received at the data storage facility  110  from an outside source (e.g. an agreed upon third party). For example, factor adjustments can be obtained from parties under contract to index sponsors to provide the adjustments. 
         [0095]    The data storage facility  110  can, for example, maintain legal trade records where the derivative contract information stored in the data storage facility  110  constitutes a legal record (e.g. a full legal record). Automated confirmation of any confirmable post-trade event can be accomplished through the trade confirmation sources block  218 , which can be available for a trade that is stored in the data storage facility  110  as a legal trade record. The data storage facility  110  can also, for example, maintain non-legal trade records. Automated legal confirmation of post-trade events through the external trade confirmation sources  218  may not be available for non-legal records, but trading counterparties  120  can tie-out the trade in the data storage facility  110  on the trade date of the derivative contract as described above with reference to Table 1. 
         [0096]    When, for example, an unconfirmed post-trade event exists in the data storage facility  110 , the current state  282  of the data structure is associated with an uncertain state. For example, when post trade events are confirmed asynchronously or erroneously confirmed, the current state  282  can also be associated with an uncertain state. Trading counterparties can be notified of the change to the current state  282  until, for example, the event data is received or time passes such that it is changed to a confirmed current state  282  or the trading counterparties  120  cancel the trade or event. 
         [0097]    The back-loading block  210  can be used for back-loading of both legal trade records and non-legal trade records. The credit event processing  216  unit can allow the trading counterparty  120  to, for example, manage relevant notices of notifications for the derivative contract, determine whether the requisite number of notices or notifications have been provided to trigger an auction, determine net positions to aid the physical settlement and/or auction processes, identify derivative contract records in the data storage facility  110  subject to the various processes, and calculate or manage cash settlement payments due on derivative contracts. 
         [0098]    An exemplary list of the values for the current state field  282  are depicted below in Table 2: 
         [0000]    
       
         
               
               
               
               
             
           
               
                   
                 TABLE 2 
               
               
                   
                   
               
               
                   
                   
                   
                 Data Storage Facility 
               
               
                   
                 Life Cycle Event 
                 State of Event 
                 Current State Status 
               
               
                   
                   
               
             
             
               
                   
                 New Trade 
                 Unconfirmed 
                 Unconfirmed 
               
               
                   
                 New Trade 
                 Alleged 
                 Alleged 
               
               
                   
                 New Trade 
                 Confirmed 
                 Certain 
               
               
                   
                 Partial Termination 
                 Alleged 
                 Uncertain 
               
               
                   
                 Partial Termination 
                 Confirmed 
                 Uncertain 
               
               
                   
                 Increase 
                 Alleged 
                 Uncertain 
               
               
                   
                 Increase 
                 Confirmed 
                 Certain 
               
               
                   
                 Partial Termination 
                 Alleged 
                 Uncertain 
               
               
                   
                 Partial Termination 
                 Confirmed 
                 Certain 
               
               
                   
                   
               
             
          
         
       
     
         [0099]    Referring to Table 2, the “Life Cycle Event” column identifies to the type of derivative contract event (data) the trading counterparty  120  transmitted to the data storage facility  110 . By way of example, this data can be assigned with a “New Trade,” “Partial Termination,” or “Increase.” The column “State of Event” corresponds to the current state of the trade event. The “Data Storage Facility Current State Status” column corresponds to the current status of the derivative contract stored in the data storage. “Data Storage Facility Current Status” can represent the scenario when a trading counterparty  120 A submitting one set of data associated with the derivative contract and the other trading counterparty  120 B has not yet confirmed the trade, resulting in a status of “Unconfirmed.” Prior to full legal confirmation, new trades can be recorded in the data storage facility  110  as either “Unconfirmed” or “Alleged.” 
         [0100]    When new warehouse trades are legally confirmed, they are recorded in the data storage facility  110  as having a current state that is “Certain” in the “Data Storage Facility Current State Status” column as of the effective date  270  stored in the current state field  282  of the data structure  250 . For a back-loaded derivative contract, the effective date field  270  represents the back-loading effective date assigned to the derivative contract record upon back-loading to the database. When “Unconfirmed” (or “in flight) post trade events exist in the data storage facility  110  for any derivative contract stored in the data storage facility  110 , the “Data Storage Facility Current State Status” can be designated “Uncertain.” The status remains “Uncertain” until the trade event has either been confirmed (e.g., by a signal received from a trading counterparty) and the effective date has been reached, or trade event submissions are cancelled or rescinded. Confirmable events of the data storage facility can include new derivative contract trades, full or partial derivative contract terminations, full or partial derivative contract assignments/novations, derivate contract increases, and/or amendments to derivative contract records. 
         [0101]      FIG. 5  is a screen shot of an exemplary display  300  for use in the system of  FIG. 1 . For example, the display  300  can be an interface to a matching and confirmation service for credit default swaps, such as the DTCC Deriv/SERV service. The display  300  includes a menu bar  302  with the sub-menus “search”  302 A, “reports”  302 B, “download”  302 C, “admin”  302 D, “web user guide”  302 E, “contact us”  302 F, and “logout”  302 G. The “search”  302 A sub-menu, upon being selected by a trading counterparty  120 , displays a new user interface to the trading counterparty  120  allowing the trading counterparty  120  to search for derivative contracts based on specific criteria. The trading counterparty  120  can submit a query of the database based on fields in the data structure of  FIG. 4 . The “reports”  302 B displays report information. The “download”  302 C sub-menu allows the user to download and/or save in local memory data associated with a particular derivative contract. The data can be downloaded, for example, to a spreadsheet application. The “Admin”  302 D sub-menu allows a trading counterparty  120  to change administrative information regarding the trading counterparty&#39;s account (e.g., telephone number, address, contact information, and billing accounts). The “web user guide”  302 E sub-menu, upon being selected, displays a screen to the trading counterparty  120  containing the user guide for the display  300 . The “contact us”  302 F sub-menu, upon selection, displays a new screen containing applicable contact information to the trading counterparty (e.g., an address, company telephone number, support telephone number, and web email interface). The “logout”  302 G allows a trading counterparty  120  to log off (e.g., securely) of the display  300 . 
         [0102]    The “party identification” portion of the UI  304  lists the unique identifier  256  of a derivative contract (“DTCC0000000001112”), the trading counterparties  120  (“First Bank of the West” and “Forefront Bank of Europe”, the trading counterparty identification numbers (“12346-B” and “BBG99-00-3321”, respectively), and the derivative contract that was purchased (“Credit Default Swap”). The “contract state” portion  306  displays the current state  282  of the derivative contract identified in portion by “Certain”. The “current state contract details” portion  308  displays state dates of the derivative contract. For example, the portion includes trade date (“8 Dec. 2004”), effective date (“8 Dec. 2004”), termination date (“8 Dec. 2010”), and back-load effective date (not shown). Additional contract details are displayed in the portion  308 , including the notional amount (“10,000,000”), reference entity name (“IBM Co”), obligation (“UF124567D”), rate (“1%”), and buyer (“First Bank of the West”). The information in the display  300  is retrieved by the central processing unit  114  from the database  112  and assembled for display. 
         [0103]    The “business events” portion  310  identifies post-trade events associated with the derivative contract record. The portion  310  displays information for each post-trade event listed, which are displayed in four columns “Event,” “Time,” “Party A,” and “Party B.” Business events shown, for example, with each column separated with commas, are “Newtrade, 8 Dec. 2004, First Bank, Hedge Fund Ltd”, “Partial Termination, 21 Mar. 2006, First Bank, Hedge Fund Ltd”, and “Full Assignment, 30 Apr. 2006, First Bank, Forefront Bank.” If the trading counterparty  120  selects the post-trade event (e.g. “new trade”), the user is brought to, for example, a window containing additional relevant information pertaining to the post-trade event (e.g. “new trade,” which is retrieved from data storage upon the user selection). The “cash flow” portion  312  lists payment information regarding the derivative contract, including the date of payments, payment parties, amount of payment, currency type, and settlement status. One skilled in the art can appreciate that other embodiments or configurations of the display  300  can be used to represent the derivative contract information stored and retrieved from the data storage. 
         [0104]      FIG. 6  is an exemplary data entry interface  350  for entry of data corresponding to the fields of the data structure  250  of  FIG. 4 . Data can be entered or input into the interface  350  by a trading counterparty  120 , e.g. in the system  100  of  FIG. 1 . The trading counterparty  120  enters information for the asset class field  252  in the data structure  250  via the asset class entry field  252 A. The submitting party entry field  254 A of the interface  350  corresponds to the submitting party field  254  of the data structure  250 . The counterparty entry field  258 A of the interface  350  corresponds to data entered by the user to the counterparty field  258  of the data structure  250 . The trading counterparty  120  enters data stored in the initial fee field  260  of the data structure  250  through the initial fee entry field  260 A of the interface  350 . The fixed rate or other rate information is submitted through the fixed rate entry field  262 A of the interface  350  and stored in the fixed rate field  262  of the data structure  250 . The type of trade entry field  264 A of the interface  350  corresponds to the type of trade field  264  of the data structure  250 . 
         [0105]    For contract dates, the trade date entry field  258 A of the interface  350  is stored in the trade date field  258  of the data structure  250 , the effective date entry field  270 A of the interface  350  is stored in the effective date field  270  of the data structure  250 , and the termination date entry field  272 A of the interface  350  maps to the termination date field  272  of the data structure  250 . The trading counterparty  120  inputs buyer or seller information in the buyer/seller entry field  274 A of the interface  350  which is stored in the buyer/seller field  274  of the data structure  350 . Text inserted by the trade counterparty  120  in the free text entry field  276 A of the interface  350  is stored in the free text field  276  of the data structure. The attachment and exhaustion point entry field  278 A of the interface  350  corresponds to the attachment and exhaustion field  278  of the data structure  250 . The trading counterparty  120  submits other relevant information in the additional information entry field  280 A of the interface  350 , which is stored in the additional information field  280  of the data structure  250 . 
         [0106]    Certain fields of the data structure  250  are unavailable for modification to change by a trading counterparty  120  via the interface  350 . For example, the trading counterparty  120  can not modify information maintained by the data storage facility  110 , such as the unique identifier  256 ,  256 A assigned to the derivative contract or the current state  282 ,  282 A of the derivative contract. In some embodiments, the unique identifier  256  can be a unique number to the data storage facility  110 , but a trading counterparty  120  can locally change the unique identifier  256  at the trading counterparty&#39;s  120  facility. The “clear” button  352  erases data entered into the data entry interface  350  during a current session. The “cancel” button  354  discards any information the trading counterparty  120  provided in the data entry interface  350  and can, for example, bring the trading counterparty  120  back to the previous interface being viewed. Data entered into the data entry interface  350  can be submitted to the data storage facility  110  for storage by selecting the “ok” button  356 . The data interface  350  can take the user to a confirmation page, the previous interface or another interface. 
         [0107]    Referring back to  FIG. 3 , non-legal trade records can be submitted using the same template as a new trade record (e.g. a legal trade record), but certain fields, such as the initial fee field  260 , trade date field  268 , and effective date field  270  can be verified by the trading counterparties  120  if the funds do not match. Similarly, non-legal trade record events can be submitted to the data storage facility  110  using the same template as a legal trade record event discussed above. 
         [0108]      FIG. 7  is a flow chart  700  depicting exemplary processing of a signal indicative of a trade event for a derivative contract. The flow chart  700  can be carried out by the components of  FIGS. 1-3 . In step ( 360 ), a signal for a trade event for a derivative contract is received, e.g. by the data storage facility  110 . In step ( 362 ) a determination is made whether the trade event is associated with a new derivative contract. For example, the data storage facility  110  can query the database  112  to carry out step  362 . If the trade event is not associated with a new derivative contract, the data storage facility  110  queries the database  112  to determine if the derivative contract the trade event is associated with was previously stored in the database (step  364 ). If the derivative contract is neither a new derivative contract and it was not previously stored in the data storage facility  110 , a determination that the derivative contract is being back-loaded can occur. If the contract is being back-loaded, processing proceeds at step  364  of  FIG. 9  (step  366 ). 
         [0109]    If a trade event is associated with a new derivative contract (step  362 ), then a unique identifier (e.g. the unique identifier field  256  of  FIG. 4 ) is assigned to the derivative contract (step  368 ). This allows the data storage facility  110 , for example, to guarantee that trade events are associated with the correct underlying derivative contract, that derivative contracts are not duplicated in the data storage facility, or that applicable derivative contracts are accessible to trading counterparties  120 . Step  370  associates a set of rules with the derivative contract. Step  370  can also be reached if the derivative contract was previously stored in the data storage facility  110  (step  364 ). The set of rules is used, generally, to ensure correct application of post-trade events to the underlying derivative contract. 
         [0110]    To verify the fields of the data structure  250  of  FIG. 4 , for example, procedural rules can be implemented, i.e. the effective date  270  can be any date, the trade date  268  can not be a date in the future, a payment date can be any date from the trade date  268  forward, single and initial payment dates can be any date from the trade date  268  forward, the termination date  272  should be any date after the trade date  268 , any designated master document dates should be on or prior to the effective date  270 , post-trade dates should be on or after the original trade date  268 , post-trade effective dates should be on or after the original trade effective date  270 , and post-trade event payable dates can not occur before post-trade trade dates. A set of rules as described above can be applied to the derivative contract (step  370 ). For example, the CPU  114  can retrieve the set of rules from the database  112  and apply the set of rules to the fields of the data structure  250 , which can be stored in the database  112 . In step  372 , the data storage facility determines the current state (e.g. the current state  282  of  FIG. 4 ) of the derivative contract. 
         [0111]    Post-trade events can arrive before the current state (i.e. the current state  282  of  FIG. 4 ) is assigned a “confirmed” state. Additional validation rules can be used for confirmable post-trade events in this situation.  FIG. 8  is a flow chart  800  depicting exemplary processing of a signal indicative of a trade event for a derivative contract with an unconfirmed current state (e.g. the current state  282  of  FIG. 4 ). A signal for a trade event for a derivative contract is received (step  360 ). The signal is analyzed to determine whether the applicable contract state is “confirmed.” For example, the data storage facility first receives the signal and queries the database  112  to determine if the current state  282  of  FIG. 4  is “confirmed.” If the current state  282  is confirmed ( 380 ), the process proceeds to step  370  of the flow chart  700  in  FIG. 7 , and a set of rules is associated with the derivative contract based on the trade event (step  382 ). If the current state in step  380  does not constitute a “confirmed” state, the process in step  384  determines whether the signal confirms any derivative contracts that have a current state other than “confirmed” (e.g. “alleged” or “unconfirmed”). If the signal does not confirm any derivative contracts in step  384 , the trade event is added to a queue (step  386 ). The queue can be used, for example, to store post-trade events associated with derivative contracts not yet in a confirmed state. The process  800  awaits receipt of the next signal (step  360 ). 
         [0112]    If the signal confirms a derivative contract (step  384 ), the underlying derivative contract current state is set to confirmed (e.g. the current state  284  of  FIG. 4  indicates “confirmed”) and any trade events in the queue that are related to the derivative contract are released from the queue (step  388 ). For example, the CPU  114  can move any trade events related to a derivative contract out of the queue stored in the database  112 . A set of rules is with the first derivative contract to correctly associate the events released from the queue to the underlying derivative trade contract (step  370 ). For example, the data storage facility  110  can apply a set of rules stored in the database  112 . The data storage facility  110  updates the current state (e.g. the current state  282  of  FIG. 4 ) of the derivative contract to reflect the cumulative status of the derivative contract. For example, the cumulative status can reflect the current state based on how the trade events were applied using the set of rules from the database  112  (step  390 ). 
         [0113]    Post-trade event records arriving before the current state is “certain” can be placed in the pending queue (e.g. if the underlying derivative contract is already in the data storage facility  110  but in an unconfirmed current state  282 ). Pending event records can be visible to the other party. Pending event records, however, can be prevented from any confirmation or data storage facility processing (e.g. prevented from being used in a matching process, reaching a confirmed current state  282 , or being used to calculating payments for the pending event record). For a confirmed trade, pending events can be released from the queue and new trade event records can be accepted by the data storage facility  110  in parallel of processing the pending trade event records in step  388 . The pending trade event records can be evaluated under the set of rules (step  370 ) in the same manner as if the pending records had just entered the data storage facility  110  to ensure seamless integration of the post-trade event and subsequent new trade events. 
         [0114]    A post-trade event record can be rejected by the data storage facility  110  (e.g. if the record does not relate to a trade in the data storage facility  110 , regardless of the current state  282  being “certain”). In some embodiments, a post-trade event record that does not relate to a trade record (e.g. stored in the data storage facility  110 ) can be accepted if, for example, the post-trade event record is a full assignment of the derivative contract, a partial assignment of the derivative contract, or a full termination of the derivative contract. If, for example, a post-trade event record is accepted at the data storage facility  110  but it does not relate to a trade in the data storage facility  110  and a trading counterparty  120  submits a related underlying trade record before the post-trade event is in a “confirmed” current state, the post-trade event record can be placed into the queue (step  386 ) until the underlying trade record achieves a “confirmed” current state. 
         [0115]    The rule or set of rules associated with the derivative contract in step  370  can be specific to amendments. For example, an set of rules for an amendment can allow fields of the data structure  250  besides the counterparty  258  to be modified. An amendment can be accepted by the data storage facility  110  if the underlying trade record current state  282  of  FIG. 4  is “confirmed.” In some embodiments the set of rules can cause the data storage facility  110  to reject an amendment (e.g. if the underlying trade record current state is not confirmed, a post-trade event relating to the same underlying derivative contract is being processed by the data storage facility  110 , or a distinct amendment is being processed by the data storage facility  110  regarding the same underlying derivative contract). 
         [0116]    The set of rules associated with the derivative contract in  370  can have a specific rule or set of rules to prevent uncertainty between the derivative contract counterparties (i.e. between a remaining counterparty  120  and the transferee counterparty  120 ). For example, the data storage facility  110  may reject an assignment if the novated amount of the assignment exceeds the current data storage facility  110  notional amount  266  of  FIG. 4 . In some embodiments the data storage facility  110  may reject an assignment if the novated amount of the assignment exceeds the last certain notional amount  266  in current data storage facility  110  or if the current state  282  of the underlying contract in the data storage facility  110  is uncertain. An assignment can be rejected if the sum of remaining counter party  120  assignment input exceeds the last certain notional amount  266  of  FIG. 4 . For a derivative contract having a “certain” contract state (e.g. the current state  282  of  FIG. 4  indicates the derivative contract is “confirmed”), the last certain notional amount (e.g. the last certain notional amount  266  of  FIG. 4 ) of the underlying contract can be decremented by the novated amount of the current assignment (e.g. the resulting assignment contract can have a notional amount  266  equal to the novated amount and a current state  282  regardless of the previous underlying contract current state). 
         [0117]    For example, a contract in the data storage facility  110  may have a notional amount  266  of “100”. Upon the submission of a partial termination of “60” (e.g. to the data storage facility), the current state  282  of that contract can become “uncertain.” Assignment submissions to the data storage facility  110  by a trading counterparty  120  with novated amounts of 60 can be accepted by the data storage facility  110  because the last certain notional amount  266  was “100”. The data storage facility  110  can set the current state  282  of the partial termination to confirmed without changing, for example, the last certain notional amount  266  or the uncertain current state  282  of the contract. For example, the data storage facility  110  can set the current state  282  to confirmed and the last certain notional amount  266  can be reduced to “40.” The new trade between the remaining trading counterparty  120  and the transferee trading counterparty  120  can exist in the data storage facility  110  with a notional amount  266  of “60” and a “certain” current state. The underlying trade can still have a current status  282  of “uncertain”. 
         [0118]      FIG. 9  is a flow chart  900  depicting illustrative processing of a signal indicative of a derivative contract that is not previously stored, referencing  FIGS. 1 and 4 . In step  360  a signal for a derivative contract is received (e.g. the data storage facility  110  receives a signal). The signal is processed to determine whether the contract was previously stored (step  364 ). If the derivative contract was previously stored in the data storage facility  110 , the data storage facility  110  determines whether the effective date precedes the derivative contract trade date (step  400 ). For example, the data storage facility  110  can compare the effective date  257  to the derivative contract trade date  268  of  FIG. 4 . In step  402 , the effective date precedes the derivative contract trade date, the trade event is rejected (e.g. by the data storage facility  110 ). If the effective date does not precede the derivative contract trade date, the process continues to step  370  in  FIG. 7 . If the derivative contract was not previously stored in the data storage facility  110 , an effective date to the derivative contract (step  406 ). For example, the data storage facility  110  can assign an effective date  270  to the derivative contract of  FIG. 4 . The derivative contract is assigned a unique identifier in step  408  to distinguish it from other derivative contract records (stored in the database  112 ). For example, the data storage facility  110  can determine a unique identifier  256  for the derivative contract. The derivative contract is stored in a computer data storage, i.e. the database  112  ( 410 ). 
         [0119]    An exemplary list of the template values which can be used when back-loading a contract through  FIG. 9  are depicted below in Table 3: 
         [0000]    
       
         
               
             
               
               
               
               
             
           
               
                 TABLE 3 
               
             
             
               
                   
               
               
                 Potential Back-loading Fields 
               
             
          
           
               
                   
                   
                 Back-load 
                   
               
               
                 Field 
                 Matched 
                 Record 
                 Other Records 
               
               
                   
               
               
                 Buyer/Seller 
                 Yes 
                 Used 
                 Used/Matching 
               
               
                 Termination Date 
                 Yes 
                 Used 
                 Used/Matching 
               
               
                 Notional Amount 
                 Yes 
                 Used 
                 Used/Matching 
               
               
                 Fixed Rate 
                 Yes 
                 Conditional 
                 Conditional/ 
               
               
                   
                   
                   
                 Matching 
               
               
                 Trade Date 
                 Maybe 
                 Used 
                 Used/Matching 
               
               
                 Effective Date 
                 No 
                 Used 
                 Used/Matching 
               
               
                 Initial Fee 
                 No 
                 Optional 
                 Used/Matching 
               
               
                 Back-load Effective 
                 Yes 
                 Used 
                 Does Not Exist 
               
               
                 Date 
               
               
                   
               
             
          
         
       
     
         [0120]    Referring to Table 3, the “Field” column identifies fields for a back-load data structure, similar to the data structure  250  of  FIG. 4 . The “Matched” column identifies the record field is matched (e.g. by the data storage facility  110 ) with “Yes.” The “Matched” column indicates the field is not matched with “No.” If some embodiments match the field and some embodiments do not match the field, the “Matched” column will indicate “Maybe.” The “Back-loading Record” column indicates whether or not the value in the “Field” column is used in the “Back-load Record” template. The “Back-load Record” column value “Used” indicates the “Field” can be used in the back-load record. A value of “Optional” indicates the “Field” can either be used or not used in the back-load record. A “Back-load Record” entry of “Conditional” indicates the “Field” may be used based on the type of back-load contract submitted. The column “Other Records” indicates how other records (e.g. derivative contract entry records) both use and match the fields. The “Other Record” column values are a pair of values which correspond to the “Matched” and “Back-load Record” columns discussed above. For example, the interface  350  of  FIG. 6  can be a different record than the back-load record. 
         [0121]    For the last four rows of Table 3, the back-loading record can differ from other records. The “Buyer/Seller” field corresponds to the Buyer/Seller  274  field of the data structure  250 , and can be used the same way for both back-loading records and other records, with the field being matched. The “Termination Date” field corresponds to the termination date  272  field of the data structure  250 , and can be used the same way for both back-loading records and other records, with the field being matched. The “Notional Amount” corresponds to the notional amount  266  field of the data structure  250 , and can be used the same way for both back-loading records and other records, with the field being matched. The “Fixed Rate” corresponds to the fixed rate  262  field of the data structure  250 , and can be conditionally matched depending upon the underlying contract type. 
         [0122]    The “Trade Date” corresponds to the trade date  268  field and can be used by the back-load record but may not be matched for a back-load contract, but is both used and a matching field for other record types (e.g. derivative contract entry templates). The “Effective Date” column corresponds to the effective date  270  field of the data structure  250  and can be used by the back-loading record while not being matched. Other records match the “Effective Date” field. The “Initial Fee” column corresponds to the initial fee  260  field of the data structure  250  and can be used optionally for a back-load data structure and not matched. For other records the initial fee  260  field can be used and matched. The “Back-load Effective Date” is a field which can only be used by the back-load record because other contracts do not have a back-load effective date. 
         [0123]    The template used to submit the back-loaded contract to the data storage facility  110  can be, for example, the same template used to submit other derivative contracts. For example, the data entry interface  350  can be used to submit a back-loaded derivative contract. The back-load template may match fewer fields (e.g. the trade date  268 , effective date  270 , and initial fee  260  of  FIG. 4  can be ignored instead of matched by the data storage facility  110 ). The back-load effective date can be submitted through the additional information field  280 . Some embodiments of the data entry interface  350  can have, for example, a separate field for the back-load effective date. 
         [0124]    For example, current state trade records submitted to the data storage facility  110  can use the same interface, such as the data entry interface  350 , to submit the contract information as new contracts. For back-loaded contracts the trade date  268  and effective date  270  fields can be informational non-matching fields. Once a back-loaded contract is confirmed by the data storage facility  110 , the contract can constitute legal re-documentation of the transactions effective as of the back-load effective date. The back-load effective date can be, for example, bilaterally designated between any pair of trading counterparties  120 A,  120 B. Some post trade events (e.g. effective on or before the back-load effective date) can be included in the current contract representation submitted to the data storage facility  110  as the back-loaded contract. Some post trade events (e.g. effective after the back-load effective date) should not be included in the current contract representation of the back-loaded trade data. 
         [0125]    To resolve any legal terms of a derivative contract before submitting it to the data storage facility  110  for back-loading, a clean-up environment can be used between the trading counterparties  120 A,  120 B. Once cleanup is completed using the clean-up environment, for example, the derivative contract can be loaded into the data storage system  110 . For example, the derivative contract can be loaded automatically or through trading counterparty  120  submission. For a back-loaded derivative contract in the data storage facility  110 , post-trade events received by the data storage facility  110  can be applied using the same process in  FIG. 7 . 
         [0126]      FIG. 10A  is a block diagram of an exemplary credit event processing system  420 . A trading counterparty  120 A (e.g. a trading counterparty  120  to a derivative contract or an agent acting on behalf of the trading counterparty  120  to facilitate payments in the data storage facility  110 ) is in communication with the query processor  422  of the data storage facility  110 . The data storage facility  110  includes a database  112 , a query processor  422 , a notification processor  424 , and an event processor  426 . The query processor  422  receives queries from the trading counterparty  120 A and transmits them to the database which stores derivative contract records. The database  112  transmits a set  428  of data (e.g. derivative contract records, derivative contract purchases, or derivative contract sales) to the query processor  422  based on the query from the trading counterparty  120 A. The query processor  422  transmits the set  424  to the trading counterparty  120 A. The trading counterparty  120 A receives the set  424  and selects a subset  430  of data from the set  428  of data. The trading counterparty  120 A can, for example, select a subset  430  of derivative contract records from the set  428  of derivative contract records with the same termination date  272  (See  FIG. 4 ). 
         [0127]    The trading counterparty  120 A transmits the subset  430  of data to the notification processor  424 . The notification processor  424  is in communication with the database  112 . The notification processor  424  can, for example, receive information from the database  112  containing the email addresses of one or more trading counterparties  120 B,  120 C for each derivative contract. The notification processor  424  transmits a notification to one or more trading counterparties  120 B,  120 C over a communications network  130 . In response to the notification  432 , the trading counterparty  120 B,  120 C transmits a response  434  to the event processor  426  over the communication network  130 . The event processor  426  processes the response  434  and communicates with the notification processor  424 . In some embodiments, the responsive notifications from the trading counterparty  120 B,  120 C are transmitted in the same format as the notification from the trading counterparty  120 A. For example, the notifications can include data entered into a particular form, such as an email, a document, or a proprietary user interface format including data entry fields populated by any of the trading counterparties. 
         [0128]      FIG. 10B  is an exemplary data structure for processing queries of derivative contracts in a database  112 . The credit event searching data structure  440  includes a Reference Entity Database (RED) Identifier field  442 . The trading counterparty  120 A can, for example, search based on the RED identifier field  442  to identify the reference entity and the reference obligation. The credit event searching data structure  440  includes a reference entity field  444 . The field  444  can allow a trading counterparty  120 A to query the database  112  for derivative contracts based on the reference entity  444  field. The index name field  446  allows a trading counterparty  120 A to search for derivative contract records using a particular index name. The credit event searching data structure  440  includes a confirmation trade type field  448 , which is a credit related field. The restructuring field  450  of the credit event searching data structure  440  allows, for example, a trading counterparty  120 A to search for derivative contracts based on restructuring criteria. The credit event searching data structure  440  includes a wild card search  452 . This can, for example, allow a trading counterparty to search for a set of derivative contracts with the wild card in any field of the derivative contracts contained h the database  112 . 
         [0129]    The trading counterparty  120 A can query the database  112  (see  FIG. 10A ) of the data storage facility  110  for derivative contract records based on certain criteria (e.g. that may have been affected by a credit event, have a particular RED Identifier  442 , have a specific index name  446 , or use a particular confirmation trade type  448 ). The query transmitted to the query processor  422  can search for derivative contract records regardless of, for example, the current state  282  of the data structure  250 . For example, the query processor  422  can query the database  112  by searching for the unique identifier  256 , a wild card search by trading counterparty  258 , and other data structure  250  fields of  FIG. 4 . The database  112  can return, for example, zero or more derivative contract records matching the query of the trading counterparty  120 A. The trading counterparty  120 A can download, for example, the set  428  of derivative contracts through a spreadsheet, Ethernet connection, and/or the like. 
         [0130]    The trading counterparty  120 A can manually identify specific derivative contracts from the set  428  with a flag to create a subset  430  from the set  428 .  FIG. 10C  is an exemplary user interface allowing a user to specify a set of derivative contracts for notification processing. The association interface  460  includes a list of derivative contract trades field  462  containing derivative contract trade  1  through derivative contract trade n. The list of derivative contract trades field  462  can, for example, contain no derivative contract trades. Each derivative contract trade within the list of derivative contract trades  462  is associated with a flag  464 . A trading counterparty  120 A can trigger a derivative contract trade within the list of derivative contract trades  462  by selecting the corresponding flag  464 . A trading counterparty  120 A can submit sources of publicly available information through the publicly available information field  466 . A trading counterparty  120 A can enter additional information in the narrow information field  468 . Selecting the “submit”  470  button can filter the list of derivative contracts  462  based on the information submitted in the narrow information field  468 , and an abbreviated list containing only derivative contract events matching the narrow information  468  field can be displayed. 
         [0131]    When the trading counterparty  120 A presses the “clear”  472  button, the fields of the association interface  460  can be reset (e.g. all selected flags  464  can be cleared, information entered into the public validation information field  466  can be deleted, information entered into the narrow field  468  can be cleared, and the list of derivative contract trades  462  can be updated to display all contracts originally returned to the trading counterparty  120 A if the list was previously narrowed using the narrow field  468 ). The “cancel”  474  button can close the association interface  460  window without transmitting information (e.g. to the data storage facility  110 ). The user can, for example, be taken to the previous window used to access the association interface  460 . The “OK”  476  button generates the subset  430  of data based on the set of data  428  and information entered into the association interface  460  fields for transmission (i.e. the subset  430  of data, which is transmitted to the notification processor  424 ). 
         [0132]    The trading counterparty  120 A can flag derivative contracts from the set  428  based on desired criteria. For example, derivative contracts can be flagged on a counterparty-by-counterparty basis, universal basis, or universal-except-for-certain-counterparties selection. A trading counterparty  120 A can manually trigger credit event notices for the subset  430 . In some embodiments, the notification processor  424  can receive the subset  430  and automatically send a notification  432  through the data storage facility  110  to relevant trading counterparties  120 B,  120 C. A notification  432  can automatically designate the flagged data storage facility  110  contracts of the subset  430 . A notification  432  can external information (e.g. references to a source of publicly available information  466  submitted by a trading counterparty  120 A through the association interface  460 ). A notification  432  can contain a designation of the credit event type, such as bankruptcy, failure to pay, restructuring, or other credit event types. A trading counterparty  120 A can, for example, re-submit the subset  430  of data to the notification processor  424  to resend a notification  432 . The notification processor  424  can assign an event determination date to the notification  432 . For example, an event determination date can require a trading counterparty  120 B,  120 C to respond to the event processor  426  by a particular date. 
         [0133]    A trading counterparty  120 A can request a daily reporting of all derivative contracts stored in the data storage facility  110  related to a party (e.g. triggered by the trading counterparty  120 A or triggered against the trading counterparty  120 A). For example, the data storage facility  110  can determine the global population of derivative contract records that are in the database  112  and are part of a potential credit event. In some embodiments, the data storage facility  110  can determine the percentage of derivative contract trades where the notification  432  has been given to the trading counterparties  120 B,  120 C. The data storage facility can determine the number of independent firms that have responded  434  regarding a notification  432 . 
         [0134]      FIG. 11  is a block diagram  1100  illustrating exemplary data flow for payment processing. The data storage facility  110  includes an event processor  426 . The event processor  426  communicates with a communication network  130  and a payment calculator  456 . The payment calculator  456  communicates with the database  112  and the notification processor  424 . The notification processor  424  communicates with the communication network  130 . The notification processor transmits notifications  444  to a trading counterparty  120  through the communication network  130 . 
         [0135]    The payment calculator  456  can calculate payments for derivative contracts stored in the database  112 . For example, the payment calculator can automatically calculate a payment upon receipt of an event from the event processor  426  which causes a derivative contract payment to come due. The payment calculator  456  checks the current state field  282  (see  FIG. 4 ) of the data structure  250  to verify the current state field  282  represents a “confirmed” state. The payment calculator  456  can calculate one or more payments due on the derivative contract, and provides information to the notification processor  424  (e.g. the payment due, the underlying derivative contract, and the trading counterparty). The notification processor  424  can send a notification  458  to the trading counterparty  120 . The notification  458  can contain the information provided by the payment calculator  456 . 
         [0136]    The payment calculator  456  may not automatically calculate payments (e.g. if the derivative contract is a non-legal contract record or is in an unconfirmed current state  282  (see  FIG. 4 )).  FIG. 12  is a flow chart  1200  depicting a payment process for a derivative contract, where the flow chart  1200  can be carried out using the components of  FIG. 11 . A signal is received (e.g. by the data storage facility  110 ) to initiate processing of a payment (step  460 ). The signal, for example, is transmitted by a trading counterparty  120 . The derivative contract current state is queried to determine if it is confirmed (step  462 ). For example, the data storage facility  110  determines if the contract state field  282  of  FIG. 4  is “confirmed.” If the derivative is in a confirmed state, derivative contract is processed (by the data storage facility  110 ) based on whether it comprises a full legal record (step  464 ). If the derivative contract is a full legal record, a payment due can be calculated (e.g. automatically by the payment calculator  456 ) on the derivative contract (step  466 ). For example, the payment calculator  456  can provide the payment information and derivative contract information to the notification processor  424 . The trading counterparties  120  to the derivative contract are notified (e.g. through the notification processor  424 ) of the payment due (step  468 ). The payment is received in step  470 . For example, the trading counterparty  120  can transmit a payment to the event processor  110  over the communication network  130 , and the payment can be transmitted from the event processor  426  to the payment calculator  456 . The payment calculator  456  can confirm the payment and can notify the notification processor  424 . The trading counterparties  120  are notified once the payment is completed in step  472 . For example, the notification processor can transmit a notification  458  to the trading counterparties  120 . 
         [0137]    If the derivative contract is not a legal record (step  464 ), the payment is not automatically calculated (e.g. by the payment calculator  456 ). A calculated amount due is transmitted from the first party to the derivative contract, e.g. a trading counterparty  120 , (step  474 ). For example, the calculated amount is transmitted to the event processor  426 , which relays the calculated amount to the payment calculator  456 . As previously described, the current state of the contract is checked ( 476 ). If the status of the derivative contract is certain, the parties are notified of the payment due for the derivative contract (step  468 ) as discussed above. For example, the payment calculator  456  transmits to the notification processor  424  which notifies the trading counterparties  120 . If the current state of the derivative contract is not certain, the derivative contract is held in a pending status (step  478 ). For example, the payment calculator transmits a message to the database  112  to hold the derivative contract. The derivative contract can be released from the pending status, for example, by receiving a signal indicative of setting the current state  282  of the derivative contract to a certain state. 
         [0138]    If the derivative contract is not in a confirmed current state  282 , a signal is transmitted (by the notification processor  424 ) to the other trading counterparty  120  of the derivative contract (step  480 ) indicative of initiating payment on the unconfirmed derivative contract. If the trading counterparty  120  transmits, for example, an accept response to the event processor  426  (step  482 ), the process proceeds to the verification process of  FIG. 13  (step  484 ). In response to a rejection by the second party, a rejection signal is transmitted to the first party. For example, if the trading counterparty  120  sends an accept response to the event processor  426 , the notification processor  424  sends a rejection signal to the trading counterparty  120  that initiated the payment ( 486 ). 
         [0139]    An exemplary list of trade types and how payments are calculated by the payment calculator  456  of  FIG. 11  are depicted below in Table 4: 
         [0000]    
       
         
               
               
               
               
             
           
               
                 TABLE 4 
               
               
                   
               
               
                 Trade Type 
                 Legal Record 
                 Tie-out Record 
                 Payment Generation 
               
               
                   
               
             
             
               
                 CDS 
                 YES 
                 NO 
                 Automated 
               
               
                 CD Index 
                 YES 
                 NO 
                 Automated (Using 3 rd   
               
               
                   
                   
                   
                 party information 
               
               
                   
                   
                   
                 after credit event) 
               
               
                 Tranche 
                 YES 
                 NO 
                 Automated (Using 3 rd   
               
               
                   
                   
                   
                 party information 
               
               
                   
                   
                   
                 after a credit event) 
               
               
                 CD Index 
                 YES 
                 NO 
                 Automated (Using 3 rd   
               
               
                 Pay as you go 
                   
                   
                 party information) 
               
               
                 Others 
                 NO 
                 YES 
                 External generation, 
               
               
                   
                   
                   
                 matched with the data 
               
               
                   
                   
                   
                 storage facility 
               
               
                   
                   
                   
                 (except where fees 
               
               
                   
                   
                   
                 indicated in contact 
               
               
                   
                   
                   
                 record). 
               
               
                   
               
             
          
         
       
     
         [0140]    Referring to Tables 1 and 4 and  FIGS. 11-12 , the first three columns “Trade Type,” “Legal Record,” and “Tie-out Record” contain the same values as in Table 1. The fourth column “Payment Generation” indicates how the payment calculator  456  handles payments for the particular trade type. The payment calculator  456  calculates payments. For example, the payment calculator  456  can automatically calculate payments for legal records with a current state  282  of certain (See  FIG. 4 ), but not for non-legal records. Payments for a “CDS” can be automatically calculated by the payment calculator  456 . Payments for a “CD Index” can be automatically calculated by the payment calculator  456  while relying on agreed third party information (e.g. CDS an iTraxx). “Tranche” trade types can be calculated automatically by the payment calculator  456  after, for example, the occurrence of a credit event affecting one of the names on the Index. The data storage facility  110  can use agreed upon third party information after the occurrence of the credit event to calculate the payment. Payments for a “CD Index Pay as you go” can be automatically calculated. For example, the payment calculator  456 , for products such as ABX and CMBX where the amount due depends on factors affecting the notional amount supplied by an agreed third party, the data storage facility  110  acquires third party information after the occurrence of the credit event. For “Other” trade types, the data storage facility  110  may not automatically calculate the payment (e.g. with the payment calculator  456 ), but can receive external generation of the cash flows and matches them with the data storage facility  110 . 
         [0141]    The payment calculator  456  calculates payments for legal records (e.g. periodic payments, coupons, fees, and one-time up front payments). For example, the data storage facility  110  can automatically calculate payments for derivative contracts with a current state  282  of certain (See  FIG. 4 ). The data storage facility  110  can allow a trading counterparty  120  to initiate payment processing for a derivative contract with a current state  282  of uncertain, for example. In some embodiments, for a tie-out record the cash flow can be calculated externally from the data storage facility  110  and submitted by a first trade counterparty  120 . For example, a second trade counterparty can submit a payment to the data storage facility  110  in response to the calculated payment, and the payment calculator  456  can match the cash flows. 
         [0142]    To manage payment timing, the data storage facility  110  can establish a trading counterparty  120  notification cut-off time for each currency on any day. For example, the notification cut-off time determines amounts to be paid on that day and notifies to the trading counterparties  120 . The notification cut-off time can be used, for example, with banks and dealers. An earlier cut-off time can be used for true end users which are not, for example, banks and dealers since it will take longer to arrange funding. Before notifying a trading counterparty  120  of payments, the data storage facility can, for example, allow for extra time to ensure all payments for a particular trading counterparty  120  are netted together in order to present them with a single, up-to-date representation of their debt. The netted payments can, for example, net payments due from the past 180 days. The data storage facility  110  can, for example, generate night-before reports to report payment amounts to a trading counterparty  120 . The data storage facility  110  can, for example, generate projection reports for cash flow extending out a specified number of days. For short time span update the data storage facility  110  can provide, for example, intra-day updates. 
         [0143]    The data storage facility  110  can, for example, bilaterally net gross amounts payable between two trading counterparties  120  having the same user notification cut-off time. The gross amounts payable can be in a particular currency, on a particular day, and/or the like. Two trading counterparties  120  may not have the same user notification cut-off time, for example, when the derivative contracts are between a dealer and the dealer&#39;s customer. Bilateral net amounts can be calculated as of the earlier user notification cut-off time. If, for example, an amount is subsequently determined before the later primary cut-off time to be payable by the dealer, the amount can be added to the net amount payable by the dealer on the relevant payment date. 
         [0144]    A payment can be calculated and determined to be due in the past if the current state  282  (See  FIG. 4 ) is not set certain until it is too late for the data storage system  110  to make a proper payment calculation. A payment with a past due date can, for example, be payable as soon as the data storage facility  110  can calculate the payment and make the payment due on the next succeeding user notification cut-off time for payments in the relevant currency. A payment made late because the data storage facility  110  could not adequately calculate the payment in adequate time can be agreed upon by the trading counterparties  120  to not constitute a default. A payment may be adjusted by the data storage facility  110  if, for example, the data storage facility  110  receives a post effective derivative contract amendment. When the current state  282  of a derivative contract becomes certain from a post effective amendment, the data storage facility  110  will determine a new payment amount. For example, the data storage facility  110  can reverse a payment based on the prior derivative contract current state that was modified by the post effective amendment. The reversal amount can be netted with the new payment amount to create, for example, a simple net adjustment through the data storage facility  110  bilateral netting process. 
         [0145]    The data storage facility  110  can support user deal linking for derivative contracts that have not been fully confirmed or have a current state  282  of uncertain (e.g. cause by an unconfirmed post trade event or an illogically confirmed post trade event). Deal linking can be used with legal contract records, and the trading counterparty  110  can propose a link, and the other trading counterparty  110  can accept or reject the proposal. For example, deal linking can be used to link contracts in a current state  282  of uncertain but not modify the current state  282  upon completion of the deal linking. The trading counterparty  110  can use a linking work flow tool to search and query unconfirmed transactions with payments due close to the time of the trade. A trading counterparty can sort the queried transactions by different criteria (e.g. fee, payment size, counterparty, trade type, or length of time unconfirmed). 
         [0146]    Linking can be allowed by the data storage facility  110  when, for example, the transaction to be linked is in an “unconfirmed” current state  282  or the counterparty transaction to be linked to is in an “alleged” current state  282 . Referencing  FIG. 12 , when a trading counterparty  110  initiates the linking process by sending a signal to initiate processing of a payment ( 460 ), if the derivative contract is does not have a confirmed current state  282 , the data storage facility  110  sends a message to the named trading counterparty  110  to propose the link ( 480 ). The data storage facility  110  can also send a status message to the initiating counterparty  110 . If the trading counterparty  110  accepts the proposed linking transaction ( 482 ), the data storage facility will verify the transaction can be linked ( 484 ), and the process proceeds to box  500  of  FIG. 13 . A trading record may not be linked, for example, if it is in a pending queue (See  FIG. 8 ). 
         [0147]      FIG. 13  is a flow chart  1300  depicting a verification process initiated by the payment of processing of  FIG. 12 . The records are verified (by the data storage facility  110 ) to ensure they correspond to the same derivative contract template, e.g. a CDS Single Name (step  502 ). If the records do not correspond to the same derivative contract template, the proposed link is rejected (e.g. by the data storage facility  110 ) (step  504 ). For example, the data storage facility  110  can send a notification to the trading counterparties  120  indicative of a failed linking procedure. If the records correspond to the same derivative contract template, the data storage facility  110  can verify the trade records are for the same life-cycle event (e.g. a new trade event or partial termination post trade event) (step  506 ). Process steps ( 502 ) and ( 506 ) can be performed in any order or in any combination. If the proposed linked records do not correspond to the same life cycle event, the payment processing is rejected (step  504 ). If the proposed linked records correspond to the same life cycle event, processing of the linked trade records is initiated (e.g. by the data storage facility  110 ) (step  508 ). The data storage facility  110  can assign a unique trade identifier to the linked trading records. 
         [0148]    If the trading counterparty  120  rejects the link proposal, the proposed link goes into a rejected status, and a rejection signal is transmitted to the initiating trading counterparty  120  (step  486 ) (See  FIG. 12 ). For example, a trading party  110  can cancel the linked transaction after the data storage facility  110  has initiated processing in response to the data storage facility  110 , which can cause an unlinked status message to be sent to the cancelling trading counterparty  120  and a rejection message being sent to the remaining counter parties  120 . The data storage facility  110  can prevent a currently linked trade record from being linked in another linking process. The data storage facility  110  can allow the trade record to be used in a new linking procedure (e.g. upon a rejection of the proposed link by the named counter party  120  or a withdrawal of the link by the initiating trading counterparty  120 ). 
         [0149]    Notification processing is initiated, e.g. by the data storage facility  110  (step  508 ), and a confirmed status message can be sent to the trading counterparties  120 . Payments due on the linked trade records are calculated (step  510 ). The trade record may contain parameters which determine periodic payments, or coupons, such as, for example, notional, rate, payment dates, applicable factors, or business day conventions. For example, the data storage facility  110  can use the coupon data for the linked trade records to calculate the coupons as if they were in a current state  282  of confirmed. The trade event can contain a fee or one-time up-front payment, such as Single Payment Amounts for CDS, Initial Payment Amounts for CD Indices, and/or one-time premiums. Fee data can be used by the data storage facility  110  to designate fees due regardless of post-trade events. 
         [0150]    An exemplary list of trade record statuses and how coupons and fees are calculated is depicted below in Table 5: 
         [0000]    
       
         
               
               
               
               
             
               
               
               
             
               
               
               
               
             
               
               
               
             
           
               
                 TABLE 5 
               
               
                   
               
               
                 Trade Record Status 
                 Linked 
                 Coupons 
                 Fees 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 Unconfirmed or Alleged 
                 No 
                 Irrelevant 
               
             
          
           
               
                 Unconfirmed or Alleged 
                 Yes 
                 Yes 
                 Yes 
               
             
          
           
               
                 Confirmed 
                 Irrelevant 
                 Automatically Calculated 
               
               
                   
               
             
          
         
       
     
         [0151]    Referring to Table 5, the first column “Trade Record Status” indicates the current status of the trade records which is “unconfirmed” if all parties haven not confirmed the trade record. If one party has initiated the trade, the status is “alleged.” If all parties have confirmed the trade record, the value is “confirmed”. The “Linked” column indicates a trade record is linked with “Yes” and un-linked with “No” if trade record linking is not effectual, the value is “Irrelevant.” For both the “Coupons” and “Fees” columns, if the corresponding column is calculated, it is indicated with “Yes.” If it does not matter whether coupon values are calculated, the value is “Irrelevant.” “Automatically Calculated” denotes the amount is automatically calculated. 
         [0152]    The first row indicates that for an “unconfirmed or alleged” contract which is not linked, neither coupons nor fees are processed by the data storage facility  110 . For an “unconfirmed or alleged” trade record which is “linked”, if the trade records are matched by the data storage facility  110 , trade payment calculations occur, and coupons are updated accordingly. For fees, if the contract records are matched, fees are sent to the data storage facility  110  for netting. If the trade record is confirmed, the state indicates all of the fields of a new trade record are the same, so a confirmed contract exists in the data storage facility with a current status  282  of “certain” which automatically triggers payment processing. As a result, it is irrelevant whether a confirmed trade record is linked because a payment will be calculated automatically regardless. 
         [0153]    An exemplary list of trade record statuses and how coupons and fees are calculated is depicted below in Table 6: 
         [0000]    
       
         
               
               
               
               
               
             
               
               
               
               
             
               
               
               
               
               
             
               
               
               
               
             
           
               
                 TABLE 6 
               
               
                   
               
               
                   
                   
                 Underlying 
                   
                   
               
               
                 Trade Record 
                   
                 Contract 
               
               
                 Status 
                 Linked 
                 Status 
                 Coupons 
                 Fees 
               
               
                   
               
             
             
               
                   
               
             
          
           
               
                 Unconfirmed/Alleged 
                 No 
                 Uncertain 
                 Irrelevant 
               
             
          
           
               
                 Unconfirmed/Alleged 
                 Yes 
                 Uncertain 
                 Yes 
                 Yes 
               
             
          
           
               
                 Confirmed 
                 Irrelevant 
                 Certain 
                 Automatically 
               
               
                   
                   
                   
                 Calculated 
               
               
                   
               
             
          
         
       
     
         [0154]    Referring to Tables 5 and 6, “Trade Record Status,” “Linked,” “Coupons,” and “Fees” indicate the same information as in Table 5. The “Underlying Contract Status” column indicates the current status of the derivative contract in the data storage facility  110  to which the trade record applies. An “underlying contract status” is indicated as unconfirmed with “Unconfirmed.” An “underlying contract status” which is confirmed is denoted with “confirmed.” For an unconfirmed or alleged trade record which is not linked, payments are not processed with the underlying warehouse contract in an uncertain state. For an unconfirmed or alleged trade record which is linked, even if the underlying contract is in an uncertain status, the trade records are matched, payment calculations occur based on the underlying contract record, as modified by the matched coupon related data, and coupons are updated accordingly. Fees, if the trade records are matched, are sent to the data storage facility  110  for matching. If the trade record is confirmed, as with Table 5, it is irrelevant if the trade record is linked, and because the underlying contract has returned to a status of certain, the data storage facility  110  will automatically calculate payments. 
         [0155]    An assignment, for example, can complicate the linking process because there are three trading counterparties  120 . For a full assignment all three trading counterparties  120  to an assignment can enter their records but they may not yet be matched by the data storage facility  110 . All three trading counterparties  120  can propose and accept a link between their records. A fee between two trading counterparties  120 , such as the transferee and the transferor, may not be visible to the remaining trading counterparty  120 . Once all three legs of the link are established (e.g. between the transferor/remaining party, transferee/remaining party, and transferor/transferee), the payments are distributed appropriately. For example, coupons between the transferor/remaining party can be removed from data storage facility  110  payment processing, coupons between the transferee/remaining party can be calculated for warehouse payment processing if all coupon data matches in the transferee and remaining party trade records, and any fee between the transferee and transferor can be sent to the data storage facility  110  for netting. 
         [0156]    The data storage facility  110  can support a settlement infrastructure to instruct and manage settlement through an established multi-currency settlement provider. For example, for a specific currency, each bilateral pairing can be funded in the data storage facility  110  account at a settlement bank. The data storage facility  110  can have Power of Attorney over user nostro accounts to pull funds and each firm can establish a line of credit with their own nostro provider. If, for example, a trading counterparty  120  can not provide the data storage facility  110  with Power of Attorney, the trading counterparty&#39;s  120  nostro provider can be notified of the amount to be funded and the data storage facility settlement bank can expect a transfer. Once all trading counterparties  120  fund pay-in amounts, for example, the warehouse can instruct the payouts due to be sent to the corresponding trading counterparties  120 . For example, a firm that fails to meet its pay-in obligations is suspended from the process and can not receive any payout amounts. 
         [0157]    Communication between a trading counterparty  120  and the data storage facility  110  can be supported through various implementations. A computer-to-computer interface can be used. The message transport layer can be IBM MQ, SwiftNet, or other transport layer protocols. Messages can be consumed as a web service, for example, since the messages can use the XML Simple Object Access Protocol (SOAP) protocol. FpML can be used to describe derivative trade details. XML Schemas and sample XML documents can be used to define the message format. For example, input to the data storage facility  110  can follow the process: customer can put a message on an MQ queue, the data storage facility  110  can pull a message off the MQ queue, format rules can be checked with errors placed on the customer&#39;s MQ queue, accepted transactions can be processed, the originating customer can receive a response on the customer&#39;s MQ queue giving the status of the processing, and the named counterparty or counterparties can receive a status message on the MQ queue notifying them of the change in status. A spreadsheet interface can be used (e.g. following the FpML format). For example, information available for a computer-to-computer interface can be uploaded through a spreadsheet. This can be facilitated through a graphical user interface which strongly authenticates the person and firm submitting the information. 
         [0158]    The above-described techniques can be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or in combinations of them. The implementation can be as a computer program product, e.g., a computer program tangibly embodied in an information carrier, e.g., in a machine-readable storage device or in a propagated signal, for execution by, or to control the operation of, data processing apparatus, e.g., a programmable processor, a computer, or multiple computers. A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a communication network. 
         [0159]    Method steps can be performed by one or more programmable processors executing a computer program to perform functions of the application by operating on input data and generating output. Method steps can also be performed by, and apparatus can be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application-specific integrated circuit). Modules can refer to portions of the computer program and/or the processor/special circuitry that implements that functionality. 
         [0160]    Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor receives instructions and data from a read-only memory or a random access memory or both. The main elements of a computer are a processor for executing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. Data transmission and instructions can also occur over a communications network. Information carriers suitable for embodying computer program instructions and data include all forms of non-volatile memory, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in special purpose logic circuitry. 
         [0161]    The terms “module” and “function,” as used herein, mean, but are not limited to, a software or hardware component which performs certain tasks. A module may be configured to reside on addressable storage medium and configured to execute on one or more processors. A module may be fully or partially implemented with a general purpose integrated circuit (“IC”), FPGA, or ASIC. Thus, a module may include, by way of example, components, such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functionality provided for in the components and modules may be combined into fewer components and modules or further separated into additional components and modules. Additionally, the components and modules may be implemented on many different platforms, including computers, computer servers, data communications infrastructure equipment such as application-enabled switches or routers, or telecommunications infrastructure equipment, such as public or private telephone switches or private branch exchanges (“PBX”). In any of these cases, implementation may be achieved either by writing applications that are native to the chosen platform, or by interfacing the platform to one or more external application engines. 
         [0162]    To provide for interaction with a user, the above described techniques can be implemented on a computer having a display device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor, for displaying information to the user and a keyboard and a pointing device, e.g., a mouse or a trackball, by which the user can provide input to the computer (e.g., interact with a user interface element). Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback; and input from the user can be received in any form, including acoustic, speech, or tactile input. 
         [0163]    The above described techniques can be implemented in a distributed computing system that includes a back-end component, e.g., as a data server, and/or a middleware component, e.g., an application server, and/or a front-end component, e.g., a client computer having a graphical user interface and/or a Web browser through which a user can interact with an example implementation, or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communications, e.g., a communications network. Examples of communications networks, also referred to as communications channels, include a local area network (“LAN”) and a wide area network (“WAN”), e.g., the Internet, and include both wired and wireless networks. Unless clearly indicated otherwise, communications networks can also include all or a portion of the PSTN, for example, a portion owned by a specific carrier. 
         [0164]    The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communications network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. 
         [0165]    The application has been described in terms of particular embodiments. The alternatives described herein are examples for illustration only and not to limit the alternatives in any way. The steps of the application can be performed in a different order and still achieve desirable results. Other embodiments are within the scope of the following claims.