option pricing when the variance changes randomly theory estimation and an application in this paper we examine the pricing of european call options on stocks that have vari ance rates that change randomly we study continuous time diffusion processes for the stock return and the standard deviation parameter and we find that one must use the stock and two options to form a riskless hedge the riskless hedge does not lead to a unique option pricing function because the random standard deviation is not a traded security one must appeal to an equilibrium asset pricing model to derive a unique option pricing function in general the option price depends on the risk premium associated with the random standard deviation we find that the problem can be simplified by assuming that volatility risk can be diversified away and that changes in volatility are uncorrelated with the stock return the resulting solution is an integral ofthe black scholes formula and the distribution function for the variance of the stock price we show that accurate option prices can be computed via monte carlo simulations and we apply the model to a set of actual prices

credibility versus control agency independence and partisan influence in the regulatory state there is a natural tension between theories of party government and theories of regulatory politics whereas effective party government requires that politicians have firm control over public polic

equilibrium valuation of natural resources the purpose of this paper is to provide a theoretical investigation of equilibrium spot and futures price behavior in a nonrenewable commodity market the underlying commodity is nonrenewable in the sense that the reserve level of the commodity is expected to decline over time in the absence of successful discoveries of additional reserves i wish to understand how the nonrenewable nature of the commodity influences the intertemporal extraction of the commodity equilibrium spot price behavior and the prices of derivative assets traded on the nonrenewable commodity there is considerable disagreement among economists whether resources are exhaustible in the sense of resource constraints becoming binding on our society in the foreseeable future some economists have argued that natural resources are being depleted at

stochastic convenience yield and the pricing of oil contingent claims this paper develops and empirically tests a two factor model for pricing financial and real assets contingent on the price of oil the factors are the spot price of oil and the instantaneous convenience yield the parameters of the model are estimated using weekly oil futures contract prices from january 1984 to november 1988 and the model s performance is assessed out of sample by valuing futures contracts over the period november 1988 to may 1989 finally the model is applied to determine the present values of one barrel of oil deliverable in one to ten years time

bureaucratic capacity delegation and political reform thecentraltensionmotivatingcontemporarytheories of delegation from politicians to bureaucrats lies in the potential conflict between the value of bureaucratic expertise on one hand and the desire for political control on the other this tension is well known and has been debated at least since weber s classic work on bureaucracy modern bureaucracies are staffed with individuals who by virtue of rational bureaucratic organization are highly skilled policy experts who in principle should be able to help less knowledgeable politicians achieve their goals however the very skills and expertise that bureaucrats enjoy create the possibility that bureaucrats will usurp the rightful role of politicians in policymaking processes because the way this tension is resolved determines the ultimate compatibility of democracy and bureaucracy existing theories of delegation typically focus on understanding how and to what extent politicians can resolve it 1 in many contexts particularly developing democracies bureaucracy does not fit the weberian characteristics that are assumed in the existing delegation literature the bureaucracies may be staffed with individuals who lack the personal capacity to execute orders effectively the organizational structure may lead to breakdowns within bureaucratic hierarchies making it difficult for senior administrators to control their subordinates departments and ministries may lack basic budgets and resources to undertake implementation actions they may suffer from incentives for

the potential of decentralized power to heat as a flexibility option for the german electricity system a microeconomic perspective abstract one fundamental challenge of the german energy transition for the electricity market is the growing imbalance between inflexible generation and generally inelastic load against this background we investigate the future potential of decentralized power to heat p2h as an additional demand side flexibility option for the german electricity system precisely we analyze the case of hybrid systems where conventional gas and oil condensing boiler systems are equipped with an electric heating rod in contrast to previous approaches we set our focus on the economic incentives at household level only if the switch to a p2h hybrid system can reduce individual heating expenses significantly a considerable number of these systems will be installed for this purpose we implemented an integrated approach combining three distinct simulation modules first a stochastic simulation of the electricity spot market prices in 2020 was conducted second average heat load profiles were generated based on a standard bottom up analysis both results were then fed into an optimization model calculating the cost minimizing paths of heat generation at household level during the year 2020 the simulated annual savings prove modest as long as household electricity prices are not heavily reduced through political influence

a spot forward model for electricity prices with regime shifts 2014 elsevier b v all rights reserved this is the authors manuscript preprint to the article

an axiomatic approach to systemic risk systemic risk refers to the risk of collapse of an entire complex system as a result of the actions taken by the individual component entities or agents that comprise the system systemic risk is an issue of great concern in modern financial markets as well as more broadly in the management of complex business and engineering systems we propose an axiomatic framework for the measurement and management of systemic risk based on the simultaneous analysis of outcomes across agents in the system and over scenarios of nature our framework defines a broad class of systemic risk measures that accomodate a rich set of regulatory preferences this general class of systemic risk measures captures many specific measures of systemic risk that have recently been proposed as special cases and highlights their implicit assumptions moreover the systemic risk measures that satisfy our conditions yield decentralized decompositions i e the systemic risk can be decomposed into risk due to individual agents furtherm

evaluating natural resource investments notwithstanding impressive advances in the theory of finance over the past 2 decades practical procedures for capital budgeting have evolved only slowly the standard technique which has remained unchanged in essentials since it was originally proposed see dean 1951 bierman and smidt 1960 derives from a simple adaptation of the fisher 1907 model of valuation under certainty under this technique expected cash flows from an investment project are discounted at a rate deemed appropriate to their risk and the resulting present value is compared with the cost of the project this standard textbook technique reflects modern theoretical developments only insofar as estimates of the discount rate may be obtained from crude application of single period asset pricing theory but see brennan 1973 bogue and roll 1974 turnbull 1977 constantinides 1978 the inadequacy of this approach to capital budgeting is widely acknowledged although not widely discussed its obvious deficiency is its the evaluation of mining and other natural resource projects is made particularly difficult by the high degree of uncertainty attaching to output prices it is shown that the techniques of continuous time arbitrage and stochastic control theory may be used not only to value such projects but also to determine the optimal policies for developing managing and abandoning them the approach may be adapted to a wide variety of contexts outside the natural resource sector where uncertainty about future project revenues is a paramount concern

evaluating the economy embedded in the brazilian ethanol gasoline flex fuel car a real options approach the introduction of the flex fuel cars in the brazilian market in 2003 changed considerably the consumer decision making process prior to this date it was necessary to choose the automobile type only by gasoline or by ethanol fuel today it is possible to choose a car type with both fuel options this flexibility generates economic advantages for his owner but what are the financial benefits of a flex fuel car in comparison with a car using only gasoline geographically where is the owner of the benefits from this flexibility located this article presents an empirical application of the real options theory in the analysis of the flex fuel car option for five geographic brazilian regions northern northeastern central western southeastern and southern the regional price differences as well as the consumer preferences of these regions were met for this purpose historical fuel prices were considered stochastic and following a mean reverting stochastic process the prediction and option values were

robust estimation and forecasting of the long term seasonal component of electricity spot prices when building stochastic models for electricity spot prices the problem of uttermost importance is the estimation and consequent forecasting of a component to deal with trends and seasonality in the data while the short term seasonal components daily weekly are more regular and less important for valuation of typical power derivatives the l ong term seasonal components ltsc seasonal annual are much more diffi cult to tackle surprisingly in many academic papers dealing with electricity spot price modeling the importance of the seasonal decomposition is neglected and the problem of forecasting it is not considered with this paper we want to fill the gap and present a thorough study on estimation and forecasting of the ltsc of electricity spot prices we consider a battery of models based on fourier or wavelet decomposition combined with linear or exponential decay we find that all considered wavelet base d models are significantly better in terms of forecasting spot prices up to a year ahead than all considered sine based models this result questions the validity and usefulness of stochastic models of spot electricity prices built on sinusoidal long term seasonal components

valuing managerial flexibility an application of real option theory to mining investments abstract the value of managerial flexibility is assessed using data on prices costs grades reserves ore extraction and metal output for a panel of canadian copper mines a real option model is estimated and solved for project and option values most empirical researchers i consider the initial investment decision but neglect flexible operation thereafter ii assume that price is stochastic but ignore cost and reserve uncertainty and iii model price as a nonstationary stochastic process the evolution of three state variables price cost and reserves is assessed here differences in assumptions compared to others are found to lead to large differences in estimated project and option values

priority rules and other asymmetric rationing methods in a rationing problem each agent demands a quantity of a certain commodity and the available resources fall short of total demand a rationing method solves this problem at every level of resources and individual demands we impose three axioms consistency with respect to variations of the set of agents upper composition and lower composition with respect to variations of the available resources in the model where the commodity comes in indivisible units the three axioms characterize the family of priority rules where individual demands are met lexicographically according to an exogeneous ordering of the agents in the more familiar model where the commodity is divisible these three axioms plus scale invariance independence of the measurement unit characterize a rich family of methods it contains exactly three symmetric methods giving equal shares to equal demands these are the familiar proportional uniform gains and uniform losses methods the asymmetric methods in the family partition the agents into priority classes within each class they use either the proportional method or a weighted version of the uniform gains or uniform losses methods

soybean inventory and forward curve dynamics we present two results concerning soybean prices first we exhibit a simple relationship between stocks and price volatility the observation of an increasing price volatility with decreasing inventory is often mentioned in the literature but has so far been documented using a proxy for inventory see fama and french 1987 1988 litzenberger and rabinowitz 1995 instead we reconstruct a yearly quarterly and monthly database of worldwide soybean inventories using aggregate data from the united states brazil and argentina we show that under all time scales price volatility is an increasing linear function of inverse inventory which we term scarcity second we show how the addition of the factor scarcity in a state variable approach to the dynamics of the term structure of soybean forward prices improves the quality of the fit we document this property on a 25 year database of cbot futures contracts and show that the superior accuracy also affects long maturity futures contracts an important property for the valuation of long term origination contracts between producing countries and the agrifood industry

electricity price forecasting using sale and purchase curves the x model abstract our paper aims to model and forecast the electricity price by taking a completely new perspective on the data it will be the first approach which is able to combine the insights of market structure models with extensive and modern econometric analysis instead of directly modeling the electricity price as it is usually done in time series or data mining approaches we model and utilize its true source the sale and purchase curves of the electricity exchange we will refer to this new model as x model as almost every deregulated electricity price is simply the result of the intersection of the electricity supply and demand curve at a certain auction therefore we show an approach to deal with a tremendous amount of auction data using a subtle data processing technique as well as dimension reduction and lasso based estimation methods we incorporate not only several known features such as seasonal behavior or the impact of other processes like renewable energy but also completely new elaborated stylized facts of the bidding structure our model is able to capture the non linear behavior of the electricity price which is especially useful for predicting huge price spikes using simulation methods we show how to derive prediction intervals for probabilistic forecasting we describe and show the proposed methods for the day ahead epex spot price of germany and austria

electricity prices large scale renewable integration and policy implications abstract this paper investigates the effects of intermittent solar and wind power generation on electricity price formation in germany we use daily data from 2010 to 2015 a period with profound modifications in the german electricity market the most notable being the rapid integration of photovoltaic and wind power sources as well as the phasing out of nuclear energy in the context of a garch in mean model we show that both solar and wind power granger cause electricity prices that solar power generation reduces the volatility of electricity prices by scaling down the use of peak load power plants and that wind power generation increases the volatility of electricity prices by challenging electricity market flexibility

implementing a stochastic model for oil futures prices this paper develops a parsimonious three factor model of the term structure of oil futures prices that can be easily estimated from available futures price data in addition it proposes a new simple spreadsheet implementation procedure the procedure is flexible may be used with market prices of any oil contingent claim with closed form pricing solution and easily deals with missing data problems the approach is implemented using daily prices of all futures contracts traded at the new york mercantile exchange between 1991 and 2001 in sample and out of sample tests indicate that the model fits the data extremely well though the paper concentrates on oil the approach can be used for any other commodity with well developed futures markets

an identification robust test for time varying parameters in the dynamics of energy prices summary we test for the presence of time varying parameters tvp in the long run dynamics of energy prices for oil natural gas and coal within a standard class of mean reverting models we also propose residual based diagnostic tests and examine out of sample forecasts in sample lr tests support the tvp model for coal and gas but not for oil though companion diagnostics suggest that the model is too restrictive to conclusively fit the data out of sample analysis suggests a random walk specification for oil price and tvp models for both real time forecasting in the case of gas and long run forecasting in the case of coal copyright 2010 john wiley sons ltd

political independence accountability and the quality of regulatory decision making recent decades have seen a considerable increase in delegation to independent regulatory agencies which has been justified by reference to the superior performance of these bodies relative to government departments yet the hypothesis that more independent regulators do better work has hardly been tested we examine the link using a comprehensive measure of the quality of work carried out by competition authorities in 30 organisation for economic co operation and development oecd countries and new data on the design of these organizations we find that formal independence has a positive and significant effect on quality contrary to expectations though formal political accountability does not boost regulatory quality and there is no evidence that it increases the effect of independence by reducing the risk of slacking the quality of work is also enhanced by increased staffing more extensive regulatory powers and spillover effects of a more capable bureaucratic system

comparison of extended mean reversion and time series models for electricity spot price simulation considering negative prices abstract this paper evaluates different financial price and time series models such as mean reversion autoregressive moving average arma integrated arma arima and general autoregressive conditional heteroscedasticity garch process usually applied for electricity price simulations however as these models are developed to describe the stochastic behaviour of electricity prices they are extended by a separate data treatment for the deterministic components trend daily weekly and annual cycles of electricity spot prices furthermore price jumps are considered and implemented within a regime switching model since 2008 market design allows for negative prices at the european energy exchange which also occurred for several hours in the last years up to now only a few financial and time series approaches exist which are able to capture negative prices this paper presents a new approach incorporating negative prices the evaluation of the different approaches presented points out that the mean reversion and the arma models deliver the lowest mean root square error between simulated and historical electricity spot prices gained from the european energy exchange these models posses also lower mean average errors than garch models hence they are more suitable to simulate well fitting price paths furthermore it is shown that the daily structure of historical price curves is better captured applying arma or arima processes instead of mean reversion or garch models another important outcome of the paper is that the regime switching approach and the consideration of negative prices via the new proposed approach lead to a significant improvement of the electricity price simulation

decentralized clearing in financial networks we consider a situation in which agents have mutual claims on each other summarized in a liability matrix agents assets might be insufficient to satisfy their liabilities leading to defaults in case of default bankruptcy rules are used to specify the way agents are going to be rationed a clearing payment matrix is a payment matrix consistent with the prevailing bankruptcy rules that satisfies limited liability and priority of creditors since clearing payment matrices and the corresponding values of equity are not uniquely determined we provide bounds on the possible levels equity can take unlike the existing literature which studies centralized clearing procedures we introduce a large class of decentralized clearing processes we show the convergence of any such process in finitely many iterations to the least clearing payment matrix when the unit of account is sufficiently small all decentralized clearing processes lead essentially to the same value of equity as a centralized clearing proce

convenience yield without the convenience a spatial temporal interpretation of storage under backwardation a mathematical programming model of the wheat marketing system of western australia manifests a typical pattern of regionwide stocks held at a negative intertemporal spread measured at the port no stocks are held at a monetary loss in terms of local prices any apparent loss is an illusion from spatial aggregation of stocks and attribution of incentives at one locality to storers at all locations moreover as the premium for immediate delivery at the port rises stocks increase at relatively inaccessible inconvenient locations where prices are low allowing more to be shipped from locations more convenient to the port

a regime switching copula approach to modeling day ahead prices in coupled electricity markets abstract the recent price coupling of many european electricity markets has triggered a fundamental change in the interaction of day ahead prices challenging additionally the modeling of the joint behavior of prices in interconnected markets in this paper we propose a regime switching ar garch copula to model pairs of day ahead electricity prices in coupled european markets while capturing key stylized facts empirically substantiated in the literature this model easily allows us to 1 deviate from the assumption of normal margins and 2 include a more detailed description of the dependence between prices we base our empirical study on four pairs of prices namely germany france germany netherlands netherlands belgium and germany western denmark we find that the marginal dynamics are better described by the flexible skew t distribution than the benchmark normal distribution also we find significant evidence of tail dependence in all pairs of interconnected areas we consider as a first application of the proposed model we consider the pricing of financial transmission rights and highlight how the choice of marginal distributions and copula impacts prices as a second application we consider the forecasting of tail quantiles and evaluate the out of sample performance of competing models

optimal inventory policies when purchase price and demand are stochastic in this paper we consider the problem of a firm that faces a stochastic poisson demand and must replenish from a market in which prices fluctuate such as a commodity market we describe the price evolution as a continuous stochastic process and we focus on commonly used processes suggested by the financial literature such as the geometric brownian motion and the ornstein uhlenbeck process it is well known that under variable purchase price a price dependent base stock policy is optimal using the single unit decomposition approach we explicitly characterize the optimal base stock level using a series of threshold prices we show that the base stock level is first increasing and then decreasing in the current purchase price we provide a procedure for calculating the thresholds which yields closed form solutions when price follows a geometric brownian motion and implicit solutions under the ornstein uhlenbeck price model in addition our numerical study shows that the optimal policy performs much better than inventory policies that ignore future price evolution because it tends to place larger orders when prices are expected to increase

efficient modeling and forecasting of electricity spot prices abstract the increasing importance of renewable energy especially solar and wind power has led to new forces in the formation of electricity prices hence this paper introduces an econometric model for the hourly time series of electricity prices of the european power exchange epex which incorporates specific features like renewable energy the model consists of several sophisticated and established approaches and can be regarded as a periodic var tarch with wind power solar power and load as influences on the time series it is able to map the distinct and well known features of electricity prices in germany an efficient iteratively reweighted lasso approach is used for the estimation moreover it is shown that several existing models are outperformed by the procedure developed in this paper

asymmetric effect of basis on dynamic futures hedging empirical evidence from commodity markets abstract the dynamic minimum variance hedge ratios mvhrs have been commonly estimated using the bivariate garch model that overlooks the basis effect on the time varying variance covariance of spot and futures returns this paper proposes an alternative specification of the bgarch model in which the effect is incorporated for estimating mvhrs empirical investigation in commodity markets suggests that the basis effect is asymmetric i e the positive basis has greater impact than the negative basis on the variance and covariance structure both in sample and out of sample comparisons of the mvhr performance reveal that the model with the asymmetric effect provides greater risk reduction than the conventional models illustrating importance of the asymmetric effect when modeling the joint dynamics of spot and futures returns and hence estimating hedging strategies

volatility in crude oil futures a comparison of the predictive ability of garch and implied volatility models the wti future contract quoted at the nymex is the most actively traded instrument in the energy sector this paper compares the predictive ability of two approaches which can be used to forecast volatility garch type models where forecasts are obtained after estimating time series models and an implied volatility model where forecasts are obtained by inverting one of the models used to price options although the main scope of the research discussed here is to evaluate which model produces the best forecast of volatility for the wti future contract evaluated according to statistical and regression based criteria we also investigate whether volatility of the oil futures are affected by asymmetric effects whether parameters of the garch models are influenced by the distribution of the errors and whether allowing for a time varying long run mean in the volatility produces any improvement on the forecast obtained from garch models

optimal procurement strategies for online spot markets abstract spot markets have emerged for a broad range of commodities and companies have started to use them in addition to their traditional long term procurement contracts forward contracts in comparison to forward contracts spot markets offer products at essentially negligible lead time but typically command a higher expected price for this added flexibility while also exhibiting substantial price uncertainty in our research we analyze the resulting procurement challenge and quantify the benefits of using spot markets from a supply chain perspective we develop and solve mathematical models that determine the optimal order quantity to purchase via forward contracts and the optimal quantity to purchase via spot markets we analyze the most general situation where commodities can be both bought and sold via a spot market and derive closed form results for this case we compare the obtained results to the reference scenario of pure contract sourcing and we include results for situations where the use of spot markets is restricted to either buying or selling only our approaches can be used by decision makers to determine optimal procurement strategies based on key parameters such as demand and spot price volatilities correlation between demand and spot prices and risk aversion the results of our analysis demonstrate that significant profit improvements can be achieved if a moderate fraction of the commodity demand is procured via spot markets the results also show that companies who use spot markets can offer a higher expected service level but that they might experience a higher variability in profits than companies who do not use spot markets we illustrate our analytical results with numerical examples throughout the paper

a garch forecasting model to predict day ahead electricity prices price forecasting is becoming increasingly relevant to producers and consumers in the new competitive electric power markets both for spot markets and long term contracts price forecasts are necessary to develop bidding strategies or negotiation skills in order to maximize profits this paper provides an approach to predict next day electricity prices based on the generalized autoregressive conditional heteroskedastic garch methodology that is already being used to analyze time series data in general a detailed explanation of garch models is presented and empirical results from the mainland spain and california deregulated electricity markets are discussed

an econometric analysis of telecom competition privatization and regulation in africa and latin america this paper explores the effects of privatization competition and regulation on telecommunications performance in 30 african and latin american countries from 1984 through 1997 fixed effects regressions reveal that competition measured by mobile operators not owned by the incumbent is correlated with increases in the per capita number of mainlines payphones and connection capacity and with decreases in the price of local calls privatization combined with an independent regulator is positively correlated with telecom performance measures privatization alone however is associated with few benefits and is negatively correlated with connection capacity

the economics of career concerns part ii application to missions and accountability of government agencies the paper uses a simple multitask career concern model in order to analyse the incentives of government agencies officials incentives are impaired by the agency pursuing multiple missions a lack of focus is even more problematic in the case of fuzzy missions that is when outsiders are uncertain about the exact nature of the missions actually pursued by the agency consequently agencies pursuing multiple missions receive less autonomy the paper further shows that professionalization creates a sense of mission for the agency and that the specialization of officials raises their incentives last the paper compares its predictions with the stylized facts on government bureaucracies 1999 the review of economic studies limited

option valuation of claims on real assets the case of offshore petroleum leases this paper extends financial option theory by developing a methodology for the valuation of claims on a real asset an offshore petroleum lease several theoretical and practical problems not present in applying option pricing theory to financial assets are addressed most importantly we show the necessity of combining option pricing techniques with a model of equilibrium in the market for the underlying asset petroleum reserves the advantages of this approach over conventional discounted cash flow techniques are emphasized the methodological development provides important insights for both company behavior and government policy promising empirical results are reported

an axiomatization of the proportional rule in financial networks the most important rule to determine payments in real life bankruptcy problems is the proportional rule many such bankruptcy problems are characterized by network aspects and the values of the ag

the impact of renewable energies on eex day ahead electricity prices in this paper we analyze the impact of renewable energies wind and photovoltaic on the formation of day ahead electricity prices at eex we give an overview of the policy decisions concerning the promotion of renewable energy sources in germany and discuss their consequences on day ahead prices an analysis of electricity spot prices reveals that the introduction of renewable energies enhances extreme price changes in the frame of a dynamic fundamental model we show that there has been a continuous electricity price adaption process to market fundamentals furthermore the fundamental drivers of prices differ among hours with different load profiles our results imply that renewable energies decrease market spot prices and have implications on the traditional fuel mix for electricity production however the prices for the final consumers increased overall because they must pay in addition the feed in tariffs for the promotion of renewable energy

a combined modeling approach for wind power feed in and electricity spot prices abstract wind power generation and its impacts on electricity prices has strongly increased in the eu therefore appropriate mark to market evaluation of new investments in wind power and energy storage plants should consider the fluctuant generation of wind power and uncertain electricity prices which are affected by wind power feed in wpf to gain the input data for wpf and electricity prices simulation models such as econometric models can serve as a data basis this paper describes a combined modeling approach for the simulation of wpf series and electricity prices considering the impacts of wpf on prices based on an autoregressive approach thereby wpf series are firstly simulated for each hour of the year and integrated in the electricity price model to generate an hourly resolved price series for a year the model results demonstrate that the wpf model delivers satisfying wpf series and that the extended electricity price model considering wpf leads to a significant improvement of the electricity price simulation compared to a model version without wpf effects as the simulated series of wpf and electricity prices also contain the correlation between both series market evaluation of wind power technologies can be accurately done based on these series

no arbitrage conditions for storable commodities and the modeling of futures term structures abstract one distinguishable feature of storable commodities is that they relate to two markets cash market and storage market this paper proves that if no arbitrage exists in the storage cash dual markets the commodity convenience yield has to be non negative however classical reduced form models for futures term structures could allow serious arbitrages due to the high volatility of the convenience yield to avoid negative convenience yield this paper proposes a semi affine arbitrage free model which prices futures analytically and fits futures term structures reasonably well importantly our model prices commodity related contingent claims such as calendar spread options quite differently with classical models

tests of an american option pricing model on the foreign currency options market this paper tests the ability of the american option pricing model proposed by parkinson 18 or mason 14 to explain the pricing of the foreign currency options traded on the philadelphia stock exchange from february 28 1983 to march 26 1985 we find that the model underprices out of the money options relative to at the money and in the money options this relative underpricing is driven by an underpricing of out of the money call options of short maturity in addition the degree of relative mispricing for most categories of options is shown to be a decreasing function of the time to maturity of the options longer maturity options appear to trade at similar levels of implied volatility whether they are in at or out of the money most of these biases appear consistent with the fact that the underlying spot currency rate follows a mixed jump diffusion process as described in 17

volatility in electricity derivative markets the samuelson effect revisited this article proposes an empirical study of the samuelson effect in electricity markets our motivations are twofold first although the literature largely assesses the decreasing pattern in the volatilities along the price curve in commodity markets it has not extensively tested the presence of such a dynamic feature in electricity prices second the analysis of a non storable commodity enriches the literature on the behavior of commodity prices indeed it has been sometimes asserted that the samuelson effect results from the presence of inventories we examine the four most important electricity futures markets worldwide for the period from 2008 to 2014 the german nordic australian and us markets we also use the american crude oil market as a benchmark for a storable commodity negotiated on a mature futures market our analysis has two steps i in addition to the traditional tests we propose and test a new empirical implication of the samuelson effect price shocks should spread from the physical market to the paper market and not the reverse ii based on the concept of indirect storability we investigate the link between the samuelson effect and the storability of the commodity we find evidence of a samuelson effect in all of the electricity markets and show that storage is not a necessary condition for such an effect to appear these results should be taken into account for the understanding of the dynamic behavior of commodity prices for the valuation of electricity assets and for hedging operations

cointegration and detectable linear and nonlinear causality analysis using the london metal exchange lead contract this study applies linear and nonlinear granger causality tests to examine the dynamic relation between london metal exchange lme cash prices and three possible predictors the analysis uses matched quarterly inventory uk treasury bill interest rates futures prices and cash prices for the commodity lead traded on the lme the effects of cointegration on both linear and nonlinear granger causality tests is also examined when cointegration is not modelled evidence is found of both linear and nonlinear causality between cash prices and analysed predictor variables however after controlling for cointegration evidence of significant nonlinear causality is no longer found these results contribute to the empirical literature on commodity price forecasting by highlighting the relationship between cointegration and detectable linear and nonlinear causality the importance of interest rate and inventory as well as futures price in forecasting cash prices is also illustrated failure to detect significant

pricing of long dated commodity derivatives do stochastic interest rates matter abstract does modelling stochastic interest rates beyond stochastic volatility improve pricing performance on long dated commodity derivatives to answer this question we consider futures price models for commodity derivatives that allow for stochastic volatility and stochastic interest rates and a correlation structure between the underlying variables we examine the empirical pricing performance of these models on pricing long dated crude oil derivatives estimating the model parameters from historical crude oil futures prices and option prices we find that stochastic interest rate models improve pricing performance on long dated crude oil derivatives when the interest rate volatility is relatively high furthermore increasing the model dimensionality does not tend to improve the pricing performance on long dated crude oil option prices but it matters for long dated futures prices we also find empirical evidence for a negative correlation between crude oil futures prices and interest rates that contributes to improving fit to long dated crude oil option prices

pumped storage project a short to long term investment analysis including climate change abstract new renewable energy needs flexibility which can be provided by storage hydropower climate change affects the potential of this technology in both a negative and a positive way on one hand by altering runoff and on the other hand by creating new investment opportunity this paper provides an economic and financial analysis of a future project in a pumped storage facility that may be initiated in the swiss alps following the glacier retreat the area released may be considered for building a new reservoir a complete and integrated model is developed based on the tools of analysis provided by econometrics finance and operational research the results show that under the present market conditions such an investment is not profitable unexpectedly the sensitivity analysis shows that most of the time higher price volatility reduces annual revenue furthermore the project s lifetime only has a marginal impact on the net present value the value of the concession which is the right to use water is also assessed on the basis of a real option analysis including a long term horizon its present value is substantial even if the project is currently unprofitable in the discussion we go beyond the swiss case study and highlight the implications for energy policy and market design

energy investment planning at a private company a mathematical programming based model and its application in turkey we consider a mid sized private electricity generating company that plans to enter the market that is partially regulated there is a cap and trade system in operation in the industry there are nine possible power plant types that the company considers to invest on through a planning horizon some of these plants may include a carbon capture and storage technology we develop a stochastic mixed integer linear program for this problem where the objective is to maximize the expected net present value of the profit obtained we include restrictions on the maximum and minimum possible amount of investment for every type of investment option we also enforce market share conditions such that the percentage of the total investments of the company over the total installed capacity of the country stay between upper and lower bounds moreover in order to distribute the investment risk the percentage of each type of power plant investment is restricted by some upper bound we tested the model for a hypothetical company operating in turkey the results show that the model is suitable to be used for determining the investment strategy of the company

financial networks and contagion we study cascades of failures in a network of interdependent financial organizations how discontinuous changes in asset values e g defaults and shutdowns trigger further failures and how this depends on network structure integration greater dependence on counterparties and diversification more counterparties per organization have different nonmonotonic effects on the extent of cascades diversification connects the network initially permitting cascades to travel but as it increases further organizations are better insured against one another s failures integration also faces trade offs increased dependence on other organizations versus less sensitivity to own investments finally we illustrate the model with data on european debt cross holdings jel d85 f15 f34 f36 f65 g15 g32 g33 g38 globalization brings with it increased financial interdependencies among many kinds of organizations governments central banks investment banks firms etc that hold each other s shares debts and other obligations such interdependencies can lead to cascading defaults and failures which are often avoided through massive bailouts of institutions deemed too big to fail recent examples include the us government s interventions in aig fannie mae freddie mac and general motors and the european commission s interventions in greece and spain although such bailouts circumvent the widespread failures that were more prevalent in the nineteenth and early twentieth centuries they emphasize the need to study the risks created by a network of interdependencies understanding these risks is crucial to designing incentives and regulatory responses which defuse cascades before they are imminent in this paper we develop a general model that produces new insights regarding financial contagions and cascades of failures among organizations linked through a network of financial interdependencies organizations values depend on each other e g through cross holdings of shares debt or other liabilities if an

systemic risk in financial systems we consider default by firms that are part of a single clearing mechanism the obligations of all firms within the system are determined simultaneously in a fashion consistent with the priority of debt claims and the limited liability of equity we first show via a fixed point argument that there always exists a clearing payment vector that clears the obligations of the members of the clearing system under mild regularity conditions this clearing vector is unique next we develop an algorithm that both clears the financial system in a computationally efficient fashion and provides information on the systemic risk faced by the individual system firms finally we produce qualitative comparative statics for financial systems these comparative statics imply that in contrast to single firm results even unsystematic nondissipative shocks to the system will lower the total value of the system and may lower the value of the equity of some of the individual system firms

the relation between forward prices and futures prices abstract this paper consolidates the results of some recent work on the relation between forward prices and futures prices it develops a number of propositions characterizing the two prices these propositions contain several testable implications about the difference between forward and futures prices many of the propositions show that equilibrium forward and futures prices are equal to the values of particular assets even though they are not in themselves asset prices the paper then illustrates these results in the context of two valuation models and discusses the effects of taxes and other institutional factors

a test of the hotelling valuation principle time series tests of the hotelling r percent rule for natural resource prices have not been strongly supportive but the tests and the data are subject to serious difficulties we propose here an alternative testing strategy based on another but less widely known implication of the hotelling model we test this implication which we call the hotelling valuation principle by regressing the market values of the reserves of a sample of u s domestic oiland gas producing companies on their estimated hotelling values we find that the estimated hotelling values account for a significant portion of the observed variations in market values and that the hotelling measures are better indicators of the market values of petroleum properties than two widely cited publicly available alternative appraisals

the global diffusion of regulatory agencies channels of transfer and stages of diffusion the autonomous regulatory agency has recently become the appropriate model of governance across countries and sectors the dynamics of this process are captured in the authors data set which covers the establishment of agencies in 48 countries and 15 sectors for the period 1966 2007 adopting a diffusion approach to explain this broad process of institutional change the authors explore the role of countries and sectors as sources of institutional transfer at different stages of the diffusion process they demonstrate how the restructuring of national bureaucracies unfolds via four different channels of institutional transfer the results challenge theoretical approaches that overemphasize the national dimension in global diffusion and are insensitive to the stages of the diffusion process further advance in study of diffusion depends the authors assert on the ability to apply both cross sectoral and cross national analysis to the same research design and to incorporate channels of transfer with di

linear complementarity models of nash cournot competition in bilateral and poolco power markets two cournot models of imperfect competition among electricity producers are formulated as mixed linear complementarity problems lcps and a simple example is presented to illustrate their application the two models simulate bilateral markets the models include a congestion pricing scheme for transmission but other transmission pricing approaches can also be represented in this framework the two models differ from each other in that one has no arbitrage between nodes of the network while in the other model arbitragers erase any noncost based differences in price the latter bilateral model turns out to be equivalent to a cournot model of a poolco the models differ from other cournot market models in that they include both of kirchhoff s laws via a dc approximation can include arbitragers possess unique solutions and are readily solved by efficient lcp algorithms the key assumption that permits their formulation as lcps is that each producer naively assumes that its output will not affect transmission prices

failure and rescue in an interbank network this paper is concerned with systemic risk in an interbank market modelled as a directed graph of interbank obligations this builds on the modelling paradigm of eisenberg and noe eisenberg l noe th 2001 systemic risk in financial systems management sci 472 236 249 by introducing costs of default if loans have to be called in by a failing bank this immediately introduces novel and realistic effects we find that in general many different clearing vectors can arise among which there is a greatest clearing vector arrived at by letting banks fail in succession until only solvent banks remain such a collapse should be prevented if at all possible we then study situations in which consortia of banks may have the means and incentives to rescue failing banks this again departs from the conclusions of the earlier work of eisenberg and noe where in the absence of default losses there would be no incentive for solvent banks to rescue failing banks we conclude with some remarks about how a rescue consortium might be constructed this paper was accepted by wei xiong finance

a two factor cointegrated commodity price model with an application to spread option pricing in this paper we propose an easy to use yet comprehensive model for a system of cointegrated commodity prices while retaining the exponential affine structure of previous approaches our model allows for an arbitrary number of cointegration relationships we show that the cointegration component allows capturing well known features of commodity prices i e upward sloping contango and downward sloping backwardation term structures smaller volatilities for longer maturities and an upward sloping correlation term structure the model is calibrated to futures price data of ten commodities the results provide compelling evidence of cointegration in the data implications for the prices of futures and options written on common commodity spreads e g spark spread and crack spread are thoroughly investigated

forecasting electricity spot prices using lasso on capturing the autoregressive intraday structure in this paper we present a regression based model for day ahead electricity spot prices we estimate the considered linear regression model by the lasso estimation method the lasso approach allows for many possible parameters in the model but also shrinks and sparsifies the parameters automatically to avoid overfitting thus it is able to capture the autoregressive intraday dependency structure of the electricity price well we discuss in detail the estimation results which provide insights to the intraday behavior of electricity prices we perform an out of sample forecasting study for several european electricity markets the results illustrate well that the efficient lasso based estimation technique can exhibit advantages from two popular model approaches

the value of gas fired power plants in markets with high shares of renewable energy a real options application abstract using a real options model this paper quantifies a gas fired power plant s operating value and the value of a new investment against the background of a market transition to renewable electricity the model is run with recent data for germany s power sector and for different types of gas fired power plants the result is twofold first the paper achieves a more realistic value by improving on existing models it models electricity and gas prices as a two dimensional stochastic process each component consisting of the sum of a seasonal pattern and a mean reverting process it uses high granularity by modelling hourly time steps and it incorporates power plant ramping times and costs second it compares two types of power plant models one with daily and one with hourly operating decisions and thereby quantifies the value of a plant s intraday flexibility the hourly model replicates operators and investors decision making accurately this is evidenced by the fact that the results trace current major developments like the recent decline and come back of gas fired generation in germany the paper contributes to a better understanding of the choices operators and investors face in current electricity markets in the absence of large scale storage solutions flexible supply of electricity as provided by gas is important in the transition to renewable energies in germany and across europe

the valuation of options on futures contracts rational restrictions are derived for the values of american options on futures contracts for these options the optimal policy in general involves premature exercise a model is developed for valuing options on futures contracts in a constant interest rate setting despite the fact that premature exercise may be optimal the value of this american feature appears to be small and a european formula due to black serves as a useful approximation finally a model is developed to value these options in a world with stochastic interest rates it is shown that the pricing errors caused by ignoring the location of the interest rate relative to its long run mean range from 5 to 7 when the current rate is 200 basis points from its long run value the role of interest rate expectations is therefore crucial to the valuation optimal exercise policies are found from numerical methods for both models in recent years there has been a steady growth in the number of financial assets which one might properly call derivative assets that are available for trading on the organized exchanges among these the most recent and notable are options contracts written on available futures contracts options are now traded on the futures contracts on stock market indexes on the futures contracts on treasury instruments on the futures contracts on foreign exchange rates and on the futures contracts on some metals in design these options contracts do not differ substantially from the well known options contracts on common stock except that the underlying asset is a futures contract the received theory of the valuation of these options suggests that such contracts provide a direct vehicle for investors to alter the terminal payoffs on their portfolios to a desired distribution in the absence of these contracts investors would be forced to pursue a dynamic portfolio policy at the expense of considerable transactions in order to achieve a similar distribution indeed the availability of put options on the futures contracts on stock market indexes now enables well diversified investors to purchase portfolio insurance in his seminal work black 1 provided a complete description of forward and futures contracts as well as the description and valuation of european options on forward contracts and on spot commodities breeden 3 has examined the use of commodity options in a theoretical framework and courtadon 6 has studied the valuation of options on treasury bond futures french 13 cox