speculative trading in mean reverting markets mean reversion is a feature largely recognized for the price processes of many financial securities and especially commodities in the literature there are examples where some simple speculative strategies before transaction costs were devised to earn excess returns from such price processes actually the gain opportunities of mean reversion must be corrected to account for transaction costs which may represent a major issue in this work we try to determine sufficient conditions for the parameters of a mean reverting price process as a function of transaction costs to allow a speculative trader to have positive expectations when deciding to take a position we estimate the mean reverting parameters for some commodities and correct them for transaction costs to assess whether the potential inefficiency is actually relevant for speculative purposes

leveraged investments and agency conflicts when cash flows are mean reverting we analyse the effect of mean reverting cash flows on the costs of shareholder bondholder conflicts arising from partially debt financed investments in a partial equilibrium setting we find that such agency costs are significantly lower under mean reverting mr dynamics when compared to the ubiquitous geometric brownian motion gbm the difference is attributed to the stationarity of the mr process in addition through the application of a novel agency cost decomposition we show that for a larger speed of mean reversion agency costs are driven mainly by suboptimal timing decisions as opposed to suboptimal financing decisions in contrast under the standard gbm assumption the agency costs are driven mainly by suboptimal financing decisions for large growth rates and by suboptimal timing decisions for smaller or negative growth rates

what drives the commodity price beta of oil industry stocks we test theoretical drivers of the oil price beta of oil industry stocks the strongest statistical and economic support comes for market conditions type variables as the prime drivers namely oil price bond rate volatility of oil returns and cost of carry though statistically significant exogenous firm characteristics and oil firms financing decisions have less compelling economic significance there is weaker support for the prediction that financial risk management reduces the exposure of oil stocks to crude oil price variation finally extended modelling shows that mean reversion in oil prices also helps explain cross sectional variation in the oil beta

an equilibrium analysis of hedging with liquidity constraints speculation and government price subsidy in a commodity market we develop a simple commodity model to analyze i the effects of hedgying with liquidity constraints due to producers inability to bear unlimited trading losses ii the role of speculation in the process of risk allocation between consumers and producers and iii the equilibrium implications of government price subsidies to the producers we find that 1 liquidity constraints can cause futures prices to exhibit mean reversion which then makes speculation profitable 2 speculation tends to make futures price volatility an increasing function of futures price and 3 government price subsidy if actively hedged by the producers serves to lower the futures risk premium and reduce futures volatility commodity spot and futures prices are determined by the following types of market participants producers consumers speculators and governments producers have generally taken short futures positions in order to hedge against price declines consumers have generally taken long futures positions in order to hedge against price increases speculators who neither produce nor intend to consume the commodity are present in the spot and futures markets for the purpose of making a profit governments play significant roles in the markets by providing producers with various support programs and in some cases by directly intervening in the markets to affect commodity prices or adjust inventory levels the traditional approach to commodity futures pricing has been based on the theory of storage 1 as fama and french 1987 1988 show this approach to commodity pricing is particularly useful for explaining the basis movement as a function of inventory levels based on the hypothesis that the marginal convenience yield on inventory declines at a decreasing rate as

risk premia and seasonality in commodity futures we develop and estimate a multifactor a ne model of commodity futures that allows for stochastic variations in seasonality we show conditions under which the yield curve and the cost of carry curve adopt augmented nelson and siegel functional forms this restricted version of the model is parsimonious does not suer from identi cation problems and matches well the yield curve and futures curve over time we estimate the model using heating oil futures prices over the period 1984 2012 we nd strong evidence of stochastic seasonality in the data we analyze risk premia in futures markets and discuss two traditional theories of commodity futures the theory of storage and the theory of normal backwardation the data strongly support the theory of storage

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

value of an option to purchase electric power the case of uncertain consumption abstract large manufacturers and corporations often purchase options on power to protect themselves against unanticipated price increases this paper analyzes the impact of uncertainty in power consumption by a corporation on the value of an option to purchase electric power because there is no economically viable method to store power these options are exercised to satisfy immediate consumption needs only the amount exercised may differ from the maximum amount contracted which in turn alters the payoffs that accrue to the option contract we apply a monte carlo methodology to show that consumption uncertainty may substantively lower the price of an option contract under different conditions

automation versus intermediation evidence from treasuries going off the run this paper examines the choice of trading venue by dealers in u s treasury securities to determine when services provided by human intermediaries are difficult to replicate in fully automated trading systems when treasury securities go off the run their trading volume drops by more than 90 this decline in trading volume allows us to test whether intermediaries knowledge of the market and its participants can uncover hidden liquidity and facilitate better matching of customer orders in less active markets consistent with this hypothesis the market share of electronic intermediaries falls from 81 to 12 when securities go off the run electronic trading systems have been steadily increasing their share of securities trading in almost all financial markets as the amount of automation in financial markets increases it is natural to ask what services human intermediaries provide that are difficult or impossible to replicate in a fully automated trading system existing theory suggests that human intermediaries play at least two important functions first an intermediary s knowledge of the market and its participants may uncover hidden liquidity that facilitates quicker and more efficient matching of customer orders grossman 1992 the value of this matching function is greater when trading volume is low and matches are difficult to find second when information asymmetry is high the repeated interaction between an intermediary and its customers allows the intermediary to protect itself against informed trades and offer better prices to its customers seppi 1990 these two factors explain for example why electronic communications networks ecns have a greater market share for the largest and most actively traded nasdaq stocks while nasdaq market makers have a larger share in smaller less liquid stocks characterized by greater information asymmetry barclay hendershott and mccormick 2003 and why nyse specialists have higher participation rates in smaller less liquid stocks madhavan and sofianos 1998

regime switching in stochastic models of commodity prices an application to an optimal tree harvesting problem abstract this paper investigates whether a regime switching model of stochastic lumber prices is better for the analysis of optimal harvesting problems in forestry than a more traditional single regime model prices of lumber derivatives are used to calibrate a regime switching model with each of two regimes characterized by a different mean reverting process a single regime mean reverting process is also calibrated the value of a representative stand of trees and optimal harvesting prices are determined by specifying a hamilton jacobi bellman variational inequality which is solved for both pricing models using a implicit finite difference approach the regime switching model is found to more closely match the behavior of futures prices than the single regime model in addition analysis of a tree harvesting problem indicates significant differences in terms of land value and optimal harvest thresholds between the regime switching and single regime models

humps in the volatility structure of the crude oil futures market new evidence abstract this paper analyses the volatility structure of commodity derivatives markets the model encompasses hump shaped unspanned stochastic volatility which entails a finite dimensional affine model for the commodity futures curve and quasi analytical prices for options on commodity futures using an extensive database of crude oil futures and futures options spanning 21 years we find the presence of hump shaped partially spanned stochastic volatility in the crude oil market the hump shaped feature is more pronounced when the market is more volatile and delivers better pricing as well as hedging performance under various dynamic factor hedging schemes

petroleum spreads and the term structure of futures prices we employ the term structure of gasoline and heating oil prices proxied by convenience yields to explain the variation in the spread between the prices of gasoline and crude oil and the prices of heating oil and crude oil we demonstrate that the marginal convenience yields in the gasoline and heating oil markets explained much of the variation in the spreads between 1986 and 1999 the evidence indicates the importance of a disaggregated treatment of the term structure of prices the convenience yield is found to explain a substantially higher amount of the variation in the spread when it is decomposed by maturity even after controls for seasonality and inventory levels are implemented these findings support the notion that the futures term structure contains information beyond what can be garnered via obvious or easily available proxies of current supply and demand the findings are also supported in an alternate specification that tests for the origins of information spillover leadership between t

exotic options for interruptible electricity supply contracts this paper presents the design and pricing of financial contracts for the supply and procurement of interruptible electricity service while the contract forms and pricing methodology have broader applications the focus of this work is on electricity market applications which motivate the contract structures and price process assumptions in particular we propose a new contract form that bundles simple forwards with exotic call options that have two exercise points with different strike prices such options allow hedging and valuation of supply curtailment risk while explicitly accounting for the notification lead time before curtailment the proposed instruments are priced under the traditional gbm price process assumption and under the more realistic assumption for electricity markets of a mean reverting price process with jumps the latter results employ state of the art fourier transforms techniques

unspanned stochastic volatility and the pricing of commodity derivatives commodity derivatives are becoming an increasingly important part of the global derivatives market here we develop a tractable stochastic volatility model for pricing commodity derivatives the model features unspanned stochastic volatility quasi analytical prices of options on futures contracts and dynamics of the futures curve in terms of a low dimensional affine state vector we estimate the model on nymex crude oil derivatives using an extensive panel data set of 45 517 futures prices and 233 104 option prices spanning 4082 business days we find strong evidence for two predominantly unspanned volatility factors jel g13

pricing of options on commodity futures with stochastic term structures of convenience yields and interest rates we develop a model to value options on commodity futures in the presence of stochastic interest rates as well as stochastic convenience yields in the development of the model we distinguish between forward and future convenience yields a distinction that has not been recognized in the literature assuming normality of continuously compounded forward interest rates and convenience yields and log normality of the spot price of the underlying commodity we obtain closed form solutions generalizing the black scholes merton s formulas we provide numerical examples with realistic parameter values showing that both the effect of introducing stochastic convenience yields into the model and the effect of having a short time lag between the maturity of a european call option and the underlying futures contract have significant impact on the option prices

a real options based model and its application to china s overseas oil investment decisions abstract this paper applies real options theory to overseas oil investment by adding an investment environment factor to oil resource valuation a real options model is developed to illustrate how an investor country or oil company can evaluate and compare the critical value of oil resource investment in different countries under oil price exchange rate and investment environment uncertainties the aim is to establish a broad model that can be used by every oil investor country to value overseas oil resources the model developed here can match three key elements 1 deal with overseas investment the effects of investment environment and exchange rates 2 deal with oil investment oil price production decline rate and development cost etc 3 the comparability of the results from different countries different countries oil investment situation can be compared by using the option value index ovi china s overseas oil investment is taken as an example to explain the model by calculating each oil investee country s critical value per unit of oil reserves and examining the effect of different factors on the critical value the results show that the model developed here can provide useful advice for china s overseas oil investment program the research would probably also be helpful to other investor countries looking to invest in overseas oil resources

volatility and price jumps in agricultural futures prices evidence from wheat options revised version published in american journal of agricultural economics vol 86 number 4 november 2004 1018 1031

anonymity adverse selection and the sorting of interdealer trades this article asks why london security dealers use more than one trading venue to trade with one another we argue that differences in the exclusivity liquidity anonymity and post trade transparency of each system permit a more efficient sorting of interdealer trades than if there were just one system our evidence comes from detailed data on where london dealers chose to place interdealer trades contrary to intuition we show that uninformed interdealer trades as measured by subsequent price impact tend to migrate to third party brokered systems where trade is anonymous by contrast informed interdealer trades tend to migrate to the direct nonanonymous public market additionally we show that this distribution of trades is supported by differences in the price improvement dealers receive in the direct and brokered markets our findings have implications for three strands of the market microstructure literature first they contribute to our understanding of the importance of anonymity and transparency in securities trading most theoretical models of the effects of anonymity and transparency predict that anonymous trading systems will attract more informed trades

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

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

commodity trade and the carry trade a tale of two countries persistent interest rate differentials account for much of the currency carry trade profitability commodity currencies offer high interest rates on average while countries that export finished goods tend to have low interest rates we develop a general equilibrium model of international trade and currency pricing where countries have an advantage in producing either basic inputs or final goods in the model domestic production insulates commodity producing countries from global productivity shocks forcing final good producers to absorb them commodity currency exchange rates and risk premia increase with productivity differentials and trade frictions these predictions are strongly supported in the data this article is protected by copyright all rights reserved

option pricing with mean reversion and stochastic volatility many underlying assets of option contracts such as currencies commodities energy temperature and even some stocks exhibit both mean reversion and stochastic volatility this paper investigates the valuation of options when the underlying asset follows a mean reverting lognormal process with stochastic volatility a closed form solution is derived for european options by means of fourier transform the proposed model allows the option pricing formula to capture both the term structure of futures prices and the market implied volatility smile within a unified framework a bivariate trinomial lattice approach is introduced to value path dependent options with the proposed model numerical examples using european options american options and barrier options demonstrate the use of the model and the quality of the numerical scheme

competitive price discrimination strategies in a vertical channel using aggregate retail data we explore opportunities for targeted pricing for a retailer that only tracks weekly store level aggregate sales and marketing mix information we show that it is possible using these data to recover essential features of the underlying distribution of consumer willingness to pay knowledge of this distribution may enable the retailer to generate additional profits from targeting by using choice information at the checkout counter in estimating demand we incorporate a supply side model of the distribution channel that captures important features of competitive price setting behavior of firms this latter aspect helps us control for the potential endogeneity generated by unmeasured product characteristics in aggregate data the channel controls for competitive aspects both between manufacturers and between manufacturers and a retailer despite this competition we find that targeted pricing need not generate the prisoner s dilemma in our data this contrasts with the findings of theoretical models due to the flexibility of the empirical model of demand the demand system we estimate captures richer forms of product differentiation both vertical and horizontal as well as a more flexible distribution of consumer heterogeneity

global biofuels key to the puzzle of grain market behavior these jumps in the prices of these three major grains have also revealed the these jumps in the prices of these three major grains have also revealed the chaotic state of economic analysis of agricultural commodity markets economists chaotic state of economic analysis of agricultural commodity markets economists and scientists have engaged in a blame game apportioning percentages of responand scientists have engaged in a blame game apportioning percentages of responsibility for price spikes to bewildering lists of factors which include a surge in meat sibility for price spikes to bewildering lists of factors which include a surge in meat consumption caused by unprecedented increases of income of the vast populations consumption caused by unprecedented increases of income of the vast populations of china and india idiosyncratic regional droughts and fi res speculative bubbles a of china and india idiosyncratic regional droughts and fi res speculative bubbles a new fi nancialization of grain markets the slowdown of global agricultural research new fi nancialization of grain markets the slowdown of global agricultural research spending jumps in costs of energy and fertilizers shifts in interest rates the decline spending jumps in costs of energy and fertilizers shifts in interest rates the decline of the dollar the surge in biofuels demands bans on genetically modifi ed plants of the dollar the surge in biofuels demands bans on genetically modifi ed plants and climate change several observers have claimed to identify a perfect storm in and climate change several observers have claimed to identify a perfect storm in the grain markets in 2007 2008 a confl uence of some of the factors listed above the grain markets in 2007 2008 a confl uence of some of the factors listed above the continuing confused state of the economics of grain price volatility may the continuing confused state of the economics of grain price volatility may seem odd after all grain markets have many of the features of textbook competiseem odd after all grain markets have many of the features of textbook competitive models the products are relatively uniform their primary producers and tive models the products are relatively uniform their primary producers and ultimate consumers are atomistic price takers prices and outputs in the united ultimate consumers are atomistic price takers prices and outputs in the united states and other developed countries are unusually well measured by the standards states and other developed countries are unusually well measured by the standards of most goods and services in the world economy with data freely available from of most goods and services in the world economy with data freely available from

modeling multiple sources of heterogeneity in multinomial logit models methodological and managerial issues we offer a framework to specify and estimate various sources of heterogeneity in multinomial logit brand choice models we let each brand specific intercept and each parameter of the explanatory variable vector vary randomly across households in addition we distinguish loyal households from the rest our results suggest that incorporating multiple sources of heterogeneity improves the model fit and suggests higher impact of marketing mix elements on brand choice we highlight the importance of incorporating multiple sources of heterogeneity the model we implement yields valuable managerial insights

pricing term structure risk in futures markets one period expected returns on futures contracts with different maturities differ because of risk premia in the spreads between futures and spot prices we analyze the expected returns for futures contracts with different maturities using the information that is present in the current term structure of futures prices a simple affine one factor model that implies a constant covariance between the pricing kernel and the cost of carry cannot be rejected for heating oil and german mark futures contracts for gold and soybean futures the risk premia depend on the slope of the current term structure of futures prices while for live cattle futures the evidence is mixed

dynamic speculation and hedging in commodity futures markets with a stochastic convenience yield the main objective of this paper is to address in an a continuous time framework the issue of using storable commodity futures as vehicles for hedging purposes when in particular the convenience yield as well as the market prices of risk evolve randomly over time following the martingale route and by operating a suitable constant relative risk aversion utility function crra specific change of numeraire we solve the investor s dynamic optimization program to obtain quasi analytical solutions for optimal demands which can be expressed in terms of two discount bonds traded and synthetic contrary to the existing literature we explicitly derive the individual optimal proportions invested in the spot commodity in a discount bond and in the futures contracts which can be computed in a simple recursive way we suggest various decompositions allowing an investor to assess the sensitivity of the optimal demands to the state variables and to specify the role played by each risky asset empirical evidence shows that the convenience yield has a strong impact on the speculation and hedging positions and the interaction among time varying risk premia determines the magnitude and the sign of these positions

the stochastic seasonal behavior of energy commodity convenience yields abstract this paper contributes to the commodity pricing literature by consistently modeling the convenience yield with its empirically observed properties specifically in this paper we show how a four factor model for the stochastic behavior of commodity prices with two long and short term factors and two additional seasonal factors may accommodate some of the most important empirically observed characteristics of commodity convenience yields such as the mean reversion and stochastic seasonality based on this evidence a theoretical model is presented and estimated to characterize the commodity convenience yield dynamics that are consistent with previous findings we also show that commodity price seasonality is better estimated through convenience yields than through futures prices

risk and return in oilfield asset holdings abstract convention suggests that emerging market investment should provide commensurately lower risk or higher returns than comparable assets in developed countries this study demonstrates that emerging markets contain regulatory specificities that challenge asset valuation model convergence and potentially invert risk return convention 292 oilfield assets are used to provide evidence that under upward oil prices emerging markets are characterized by progressive state participation in oilfield cash flows specifically this work advances the low oil price paradigm of prior oil and gas asset valuation studies and provides evidence that emerging market state participation terms limit the corporate value of globalization for the sector

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

simultaneous equations bias in disaggregated econometric models with the language of econometrics agents may be said to take prices as exogenously given which suggests that prices are econometrically exogenous in individual behavioural equations this involves semantic confusion between different meanings of the word exogenous simultaneity problems cannot generally be dispelled by working with disaggregated data in particular nothing is gained by disaggregating the dependent variable in a regression equation if the micro and macro equations use the same regressors however there may be substantial gains from disaggregation of the regressors in the theory of competitive markets agents act as if they do not affect equilibrium market prices by analogy with the language of econometrics agents may be said to take prices as exogenously given having thus stated the price taking assumption it may seem that prices are econometrically exogenous in behavioural equations for individual agents such as labour demand curves this involves semantic confusion between two different meanings of the word exogenous for example even if each buyer has a negligible influence on the market price there may still be an important correlation between the price and the disturbance in an individual demand equation so that treating price as econometrically exogenous gives biased coefficient estimates the price taking assumption has been used to justify ols estimates of import demand functions for small countries leamer and stern 1970 pointed out that the estimated slope in an import demand function is generally an average of the slopes of the demand and supply functions for imports but

mean reversion in equilibrium asset prices evidence from the futures term structure we use the term structure of futures prices to test whether investors anticipate mean reversion in spot asset prices the empirical results indicate mean reversion in each market we examine for agricultural commodities and crude oil the magnitude of the estimated mean reversion is large for example point estimates indicate that 44 percent of a typical spot oil price shock is expected to be reversed over the subsequent eight months for metals the degree of mean reversion is substantially less but still statistically significant we detect only weak evidence of mean reversion in financial asset prices in this study we provide evidence of mean reversion in the prices of several real and financial assets rather than examining evidence of ex post reversion using time series of asset prices we use price data from futures contracts with varying delivery horizons to test whether investors expect asset prices to revert this approach offers two advantages first since futures prices are readily available for many markets our procedure can be implemented for many assets including those for which reliable spot price data is elusive second there is little ambiguity as to the source of any mean reversion detected using our method subject only to the maintained assumption that the no arbitrage cost of carry condition holds our test detects mean reversion that is expected to occur in equilibrium but has no power to detect mean reversion resulting from noise or inefficiencies our methodology focuses on relations between price levels and the slope of the futures term structure defined as the change across delivery dates in the futures prices observed on a given trading date an inverse relation between prices and the futures term slope constitutes evidence that investors expect mean reversion in spot prices to illustrate initially assume there are no

evaluating the risk premium in the u s a natural gas market evidence from low price regime abstractin recent years the u s a natural gas market has seen enormous changes the expectations of abundant supply of shale gas and the slow u s a economic recovery have pushed gas prices below us 4 mmbtu although shale gas is a new promising source of unconventional energy investors face uncertain investment plans in this study we investigate the risk premium by comparing behaviour before and after the change point in agents risk perception unlike traditional empirical research on risk premium we use the parametric two factor model of schwartz and smith 2000 to evaluate the implied risk premium term structure from futures prices traded on the new york mercantile exchange nymex we compare our findings with other empirical results and find that the change point lies at the beginning of the low price regime when we compare periods before and after the change point we observe that the risk premium changed not only in sign but also in magnitude

analytical pricing of discretely monitored asian style options theory and application to commodity markets we compute an analytical expression for the moment generating function of the joint random vector consisting of a spot price and its discretely monitored average for a large class of square root price dynamics this result combined with the fourier transform pricing method proposed by carr and madan carr p madan d 1999 option valuation using the fast fourier transform journal of computational finance 2 4 summer 61 73 allows us to derive a closed form formula for the fair value of discretely monitored asian style options our analysis encompasses the case of commodity price dynamics displaying mean reversion and jointly fitting a quoted futures curve and the seasonal structure of spot price volatility four tests are conducted to assess the relative performance of the pricing procedure stemming from our formulae empirical results based on natural gas data from nymex and corn data from cbot show a remarkable improvement over the main alternative techniques developed for pricing asian style options within the market standard framework of geometric brownian motion

informed speculation with imperfect competition competitive rational expectations models have the unsatisfactory property dubbed the schizophrenia problem by hellwig that each trader takes the equilibrium price as given despite the fact that he influences that price an examination of information aggregation in a non competitive rational expectations model using a nash equilibrium in demand functions shows that the schizophrenia problem is avoided by having each trader take into account the effect his demand has on the equilibrium price given a distribution of private information across traders prices reveal less information than in the competition equilibrium and prices no longer become fully informative in the limit as noise trading vanishes or as traders become risk neutral with small traders the model may become one of monopolistic competition not perfect competition in contrast to the competitive model a reasonable model of endogenous acquisition of costly private information is obtained even when traders are risk neutral

the cross sectional determinants of inventory control and the subtle effects of adrs abstract this paper addresses the effects of international cross listings on the domestic market by investigating the properties of market maker inventories on the london stock exchange we find that the unit root hypothesis can only be rejected for a fraction of dealer inventories and that mean reversion is generally slow inter stock variations in mean reversion can be explained by liquidity and risk related variables as well as the availability of adrs on other exchanges we find that adrs do have an appreciable and significant impact on dealer behaviour and trading costs the findings have implications for our understanding of the subtleties of linkages between markets

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

endogeneity in brand choice models applications of random utility models to scanner data have been widely presented in marketing for the last 20 years one particular problem with these applications is that they have ignored possible correlations between the independent variables in the deterministic component of utility price promotion etc and the stochastic component or error term in fact marketing mix variables such as price not only affect brand purchasing probabilities but are themselves endogenously set by marketing managers this work tests whether these endogeneity problems are important enough to warrant consideration when estimating random utility models with scanner panel data our results show that not accounting for endogeneity may result in a substantial bias in the parameter estimates

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

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

bond pricing and the term structure of interest rates a new methodology for contingent claims valuation this paper presents a unifying theory for valuing contingent claims under a stochastic term structure of interest rates the methodology based on the equivalent martingale measure technique takes as given an initial forward rate curve and a family of potential stochastic processee for its subsequent movements a no arbitrage condition restricts this family of processes yielding valuation formulae for interest rate sensitive contingent claims which do not explicitly depend on the market prices of risk examples are provided to illustrate the key results in relation to the term structure of interest rates arbitrage pricing theory has two purposes the first is to price all zero coupon default free bonds of varying maturities from a finite number of economic fundamentals called state variables the second is to price all interest rate sensitive contingent claims taking as given the prices of the zero coupon bonds this paper presents a general theory and a unifying framework for understanding arbitrage pricing theory in this context of which all existing arbitrage pricing models are special cases in particular vasicek 1977 brennan and schwartz 1979 langetieg 1980 ball and torous 1983 ho and lee 1986 schaefer and schwartz 1987 and artzner and delbaen 1988 the primary contribution of this paper however is a new methodology for solving the second problem i e the pricing of interest rate sensitive contingent claims given the prices of all zero coupon bonds the methodology is new because i it imposes its stochastic structure directly on the evolution of the forward rate curve ii it does not require an inversion of the term structure to eliminate the market prices of risk from contingent claim values and iii it has a stochastic spot rate process with multiple stochastic factors influencing the term structure the model can be used to consistently price and hedge all contingent claims american or european on the term structure and it is derived from necessary and more importantly sufficient conditions for the absence of arbitrage the arbitrage pricing models of vasicek 1977 brennan and schwartz 1979 langetieg 1980 and artzner and delbaen 1988 all require an iformerly titled bond pricing and the term structure of interest rates a new methodology

capital expenditures financial constraints and the use of options abstract this paper analyzes why gold mining firms use options instead of linear strategies to hedge their gold price risk consistent with financial constraints based theories the largest and least financially constrained firms are the most likely to hedge with insurance strategies put options while more constrained firms finance the purchase of puts by selling calls collars the most financially constrained firms use strategies that involve selling calls firms with large investment programs are also more likely to use insurance rather than linear strategies firms hedging instrument choices are also correlated with current market conditions suggesting that managers market views partially drive hedging instrument choices

commodity betas with mean reverting output prices abstract this paper provides a theoretical derivation of commodity beta stock price sensitivity to commodity price using a contingent claim model the model incorporates operating leverage financial leverage costly financial distress and mean reverting commodity prices and highlights the important role played by the speed of reversion of the commodity price it is used to identify theoretically the main determinants of commodity beta commodity beta is predicted to be an increasing function of the operating and financial leverage of the firm and a decreasing function of the company s tax rate and the level volatility and speed of reversion of the commodity price empirical tests with a sample of gold mining firms provide support for these predictions particularly the new implications of the model the effect of the commodity price s speed of reversion and the company s tax rate

trading networks and liquidity provision abstract we study the profitability of traders in two fully electronic and highly liquid markets the dow and standard poor s 500 e mini futures markets using unique information that identify counterparties to a transaction we show and seek to explain the fact that the network pattern of trades captures the relations between behavior in the market and returns our approach includes a simple representation of how much a shock is amplified by the network and how widely it is transmitted this representation provides a possible shorthand for understanding the consequences of a fat finger trade a withdrawing of liquidity or other market shock

experimentation in financial markets in this paper we use a unique data set on the italian interdealer bond market to empirically estimate the process of strategic experimentation the results show how the information generated in the process of interdealer trading affects the incentive to experiment upon receipt of an order dealers deliberately engage in trade with other dealers either to exploit the information contained in the order they receive or if they are uncertain about its quality to assess it by actively experimenting with other dealers we therefore identify hiding and experimenting as main types of dealer strategies

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

international money and stock market contingent claims abstract we develop a unified approach with closed form solutions for pricing bonds stocks currencies and their derivatives the specification assumes a fundamental risk factor represented by a stochastic positive definite matrix following a wishart autoregressive war process by assuming a volatility in mean specification for the domestic stock returns and the relative changes of exchange rates and a domestic stochastic discount factor exponential affine with respect to the fundamental risk it is possible to derive closed form solutions for the term structures of interest rates and for the risk neutral probabilities while keeping the flexibility of the model in particular i the domestic and foreign term structures are jointly affine and correspond to wishart quadratic term structures which can ensure the positivity of interest rates ii in this framework where the stock price follows a model with stochastic volatility we obtain explicit or quasi explicit formulas for futures and forward contracts swaps and options this extends results by heston 1993 and ball and roma 1994

measuring market power in the ready to eat cereal industry the ready to eat cereal industry is characterized by high concentration high price cost margins large advertising to sales ratios and numerous introductions of new products previous researchers have concluded that the ready to eat cereal industry is a classic example of an industry with nearly collusive pricing behavior and intense nonprice competition this paper empirically examines this conclusion in particular i estimate price cost margins but more importantly i am able empirically to separate these margins into three sources i that which is due to product differentiation ii that which is due to multi product firm pricing and iii that due to potential price collusion the results suggest that given the demand for different brands of cereal the first two effects explain most of the observed price cost margins i conclude that prices in the industry are consistent with noncollusive pricing behavior despite the high price cost margins leading firms are able to maintain a portfolio of differentiated products and influence the perceived product quality it is these two factors that lead to high price cost margins

optimal storage by crop producers when post harvest marketing strategies are restricted by disallowing speculative purchases sales out of storage becomes an irreversible decision and the dynamic marketing problem becomes analogous to the optimal exercise of a financial option the optimal marketing strategy is to hold at low prices and to sell at high prices with a cutoff price function marking the boundary between low and high prices a method for estimating the cut off price function is developed and applied to illinois soybean prices the decision rule is demonstrated to result in substantial gains from storage copyright 2002 oxford university press

valuation of commodity futures and options under stochastic convenience yields interest rates and jump diffusions in the spot this paper investigates the effects of stochastic convenience yields stochastic interest rates and jumps in the spot price on the pricing of commodity futures forwards and futures options numerical examples show that one factor prices differ materially from the stochastic convenience yield two factor prices when convenience yield is considerably above its long term average the extension to a three factor model with stochastic interest rates leads to a different futures price but the forward price is unchanged the extension ofthe three factor model to include jumps in the spot price process does not affect forward or futures prices but it can have an impact on options prices the model is applied to price the present value of future cash flows from a real asset

equilibrium exhaustible resource price dynamics we develop equilibrium models of exhaustible resource markets with endogenous extraction choices and prices our analysis demonstrates how adjustment costs can generate oil and gas forward price dynamics with two factors consistent with the behavior these commodities exhibit in the schwartz and smith 2000 calibration our two factor model predicts that stochastic volatility will arise in these markets as a natural consequence of production adjustments however and we provide supporting empirical evidence differences between endogenous price processes from our general equilibrium model and exogenous processes in earlier papers can generate significant differences in both financial and real option values

centralised order books versus hybrid order books a paired comparison of trading costs on nsc euronext paris and sets london stock exchange this article compares the cost of trading large capitalisation equities on the hybrid order driven segment of the london stock exchange and the centralised electronic order book of euronext using samples of stocks matched according to economic sector free float capitalisation and trading volume our study shows that transaction costs are lower on the centralised order book than on the hybrid order book the presence of dealers outside the electronic order book favours the frequency of large trades but is associated with higher execution costs for all other trades and higher adverse selection and inventory costs inside the order book

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

structural analysis of manufacturer pricing in the presence of a strategic retailer consumer goods manufacturers usually sell their brands to consumers through common independent retailers theoretical research on such channel structures has analyzed the optimal behavior of channel members under alternative assumptions of manufacturer retailer interaction vertical strategic interaction research in empirical industrial organization has focused on analyzing the competitive interactions between manufacturers horizontal strategic interaction decision support systems have made various assumptions about retailer pricing rules e g constant markup category profit maximization the appropriateness of such assumptions about strategic behavior for any specific market however is an empirical question this paper therefore empirically infers 1 the vertical strategic interaction vsi between manufacturers and retailer 2 the horizontal strategic interaction hsi between manufacturers simultaneously with the vsi and 3 the pricing rule used by a retailer the approach is particularly appealing because it can be used with widely available scanner data where there is no information on wholesale prices researchers usually have no access to wholesale prices even manufacturers who have access to their own wholesale prices usually have limited information on competitors wholesale prices in the absence of wholesale prices we derive formulae for wholesale prices using game theoretic solution techniques under the specific assumptions of vertical and horizontal strategic interaction and retailer pricing rules we then embed the formulae for wholesale prices into the estimation equations while our empirical illustration is using scanner data without wholesale prices the model itself can be applied when wholesale prices are available early research on the inference of hsi among manufacturers in setting wholesale prices using scanner data e g kadiyali et al 1996 1999 made the simplifying assumption that retailers charge a constant margin this assumption enabled them to infer wholesale prices and analyze competitive interactions between manufacturers in this paper we show that this model is econometrically identical to a model that measures retail price coordination across brands hence the inferred cooperation among manufacturers could be exaggerated by the coordinated pricing category management done by the retailer we find empirical support for this argument this highlights the need to properly model and infer vsi simultaneously to accurately estimate the hsi when using data at the retail level functional forms of demand have been evaluated in terms of the fit of the model to sales data but recent theoretical research on channels lee and staelin 1997 tyagi 1999 has shown that the functional form has serious implications for strategic behavior such as retail passthrough while the logit and linear model implies equilibrium passthrough of less than 100 lee and staelin call this vertical strategic substitute vss the multiplicative model implies optimal passthrough of greater than 100 vertical strategic complement vsc because passthrough rates on promotions have been found to be below or above 100 chevalier and curhan 1976 armstrong 1991 we empirically test the appropriateness of the logit vss and the multiplicative vsc functional form for the data we perform our analysis in the yogurt and peanut butter categories for the two biggest stores in a local market we found that the vss implications of the logit fit the data better than the multiplicative model we also find that for both categories the best fitting model is one in which 1 the retailer maximizes category profits 2 the vsi is manufacturer stackelberg and 3 manufacturer pricing hsi is tacitly collusive the fact that the retailer maximizes category profits is consistent with theoretical expectations the inference that the vsi is manufacturer stackelberg reflects the institutional reality of the timing of the game retailers set their retail prices after manufacturers set their wholesale prices note that in the stores and product categories that we analyze the two manufacturers own the dominant brands with combined market shares of about 82 in the yogurt market and 65 in the peanut butter market the result is also consistent with a balance of power argument in the literature the finding that manufacturer pricing is tacitly collusive is consistent with the argument that firms involved in long term competition in concentrated markets can achieve tacit collusion managers use decision support systems for promotion planning that routinely make assumptions about vsi hsi and the functional form the results from our analysis are of substantive import in judging the appropriateness of assumptions made in such decision support systems

investigating dynamic multifirm market interactions in price and advertising diagnosing the nature and magnitu de of competitive interactions among firms is important for developing effective marketing strategies in this paper we formulate a game theoretic model of firm interaction to analyze the dynamic price and advertising competition among firms in a given p roduct market firm or brand level demand functions account for the contemporaneous and carry over effects of these marketing activities and also allow for the effects of competitor actions firms take into consideration the actions of their rivals as well as their own demand and cost functions both production and advertising when determining the profit maximizing price and advertising levels our formulation enables us to quantify not only the direction and magnitude of competitive reactions but also to identify the underlying form of market conduct that generates the particular pattern of interaction we specify and estimate a fully structural econometric model for three firms constituting a distinct sub market within a personal care product category we estimate the demand and competitive interaction parameters as well as the production and advertising cost functions for each firm we then derive implications for competitive interactions and market structure interestingly we find that while firms seem to compete on advertising they price cooperatively thereby enhancing their price cost margins

beyond the endogeneity bias the effect of unmeasured brand characteristics on household level brand choice models we investigate the role of potential weekly brand specific characteristics that influence consumer choices but are unobserved or unmeasurable by the researcher we use an empirical approach based on the estimation methods used for standard random coefficients logit models to account for the presence of such unobserved attributes using household scanner panel data we find evidence that ignoring such time varying latent to the researcher characteristics can lead to two types of problems first consistent with previous literature we find that these unobserved characteristics may lead to biased estimates of the mean price response parameters this argument is based on a form of price endogeneity if marketing managers set prices based on consumer willingness to pay then the observed prices will likely be correlated with the latent to the researcher brand characteristics we resolve this problem by using an instrumental variables procedure our findings suggest that simply ignoring these attributes may also lead to larger estimates of the variance in the heterogeneity distribution of preferences and price sensitivities across households this could overstate the benefits from marketing activities such as household level targeting we resolve the problem by using weekly brand intercepts embedded in a random coefficients brand choice model to control for weekly brand specific characteristics while accounting for household heterogeneity overall our results extend the finding on the endogeneity bias from the mean of the heterogeneity distribution i e the price effect to include the variance of that distribution

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

commodity derivatives pricing with cointegration and stochastic covariances abstract empirically cointegration and stochastic covariances including stochastic volatilities are statistically significant for commodity prices and energy products to capture such market phenomena we develop a continuous time dynamics of cointegrated assets with a stochastic covariance matrix and derive the joint characteristic function of asset returns in closed form the proposed model offers an endogenous explanation for the stochastic mean reverting convenience yield the time series of spot and futures prices of wti crude oil and gasoline shows cointegration relationship under both physical and risk neutral measures the proposed model also allows us to fit the observed term structure of futures prices and calibrate the market implied cointegration relationship we apply it to value options on a single commodity and on multiple commodities

transaction costs and asset prices a dynamic equilibrium model in this article we study the effects of transaction costs on asset prices we assume an overlapping generations economy with a riskless liquid bond and many risky stocks carrying proportional transaction costs we obtain stock prices and turnover in closed form surprisingly a stock s price may increase in transaction costs and a more frequently traded stock may be less adversely affected by an increase in transaction costs calculations based on the marginal investor overestimate the effects of transaction costs for realistic parameter values transaction costs have very small effects on stock prices but large effects on turnover

a jump diffusion model for pricing and hedging with margined options an application to brent crude oil contracts abstract we develop a jump diffusion model for pricing and hedging with margined options on futures unlike a standard equity option margined options require no up front payment an attractive feature of margined options is that there is no early exercise premiums under general assumptions model parameter estimates and out of sample pricing errors are calculated using data on brent crude contracts using the same pricing technology we also hedge equity style options with margined options hedging coefficients are derived by matching an extended set of greeks we find that a target equity option can be effectively hedged using a portfolio of two margined options and the underlying as has been reported elsewhere a delta hedge is inappropriate when the underlying is a jump diffusion

pricing rainfall futures at the cme abstract many business people such as farmers and financial investors are affected by indirect losses caused by scarce or abundant rainfall because of the high potential of insuring rainfall risk the chicago mercantile exchange cme began trading rainfall derivatives in 2011 compared to temperature derivatives however pricing rainfall derivatives is more difficult in this article we propose to model rainfall indices via a flexible type of distribution namely the normal inverse gaussian distribution which captures asymmetries and heavy tail behaviour the prices of rainfall futures are computed by employing the esscher transform a well known tool in actuarial science this approach is flexible enough to price any rainfall contract and to adjust theoretical prices to market prices by using the calibrated market price of risk the empirical analysis is conducted with us precipitation data and cme futures data providing first results on the market price of risk for rainfall derivatives

variations in trading volume return volatility and trading costs evidence on recent price formation models patterns in stock market trading volume trading costs and return volatility are examined using new york stock exchange data from 1988 intraday test results indicate that for actively traded firms trading volume adverse selection costs and return volatility are higher in the first half hour of the day this evidence is inconsistent with the admati and pfleiderer 1988 model which predicts that trading costs are low when volume and return volatility are high interday test results show that for actively traded firms trading volume is low and adverse selection costs are high on monday which is consistent with the predictions of the foster and viswanathan 1990 model academics investors and regulators alike are now intensively focused upon understanding the volatility of asset returns and its relation to trading volume this interest was undoubtedly piqued by the market break of october 1987 a time during which volatility and trading volume reached unprecedented levels but even beforehand researchers observed regular differences in the return process for various hours of the day and days of the week research concerning temporal patterns in stock market volatility and volume falls in two groups studies that document observed patterns and studies that develop models to predict patterns among the studies in the first group are oldfield and rogalski 1980 french and roll 1986 stoll and whaley 1990 harris 1986 and wood mcinish and ord 1985 who report evidence on seasonalities in daily and weekly return variances among the regularities that have been documented using interday data is that volatility is higher when the market is open than when it is closed oldfield and rogalski 1980 french and roll 1986 and stoll and whaley 1990 for example point out significant differences in return volatility between trading

the capital cost of holding inventory with stochastically mean reverting purchase price most models of inventory control assume that the per unit purchase price is constant the capital cost of holding inventory can then be taken into account by adding a fixed interest rate r times the purchase price c to the out of pocket holding cost however it is not uncommon that the purchase price varies over time how the capital cost then should be calculated is the focus of the present paper the paper studies the common single item inventory model with a fixed set up cost and assumes that the stochastic purchase price follows the mean reverting ornstein uhlenbeck process methods for computing an adjusted interest rate r are suggested along with modifications of well known heuristics and formulas for lot sizing simulation tests where the optimal policy has been compared to policies obtained using modified versions of the silver meal method the part period algorithm and the eoq formula suggest that r should be estimated as the sum of the unadjusted interest rate and the average expected purchase price decrease measured over a period between 1 3 and 2 3 of the length of the order cycle

investor flows and the 2008 boom bust in oil prices this paper explores the impact of investor flows and financial market conditions on returns in crude oil futures markets i argue that informational frictions and the associated speculative activity may induce prices to drift away from fundamental values and may result in price booms and busts particular attention is given to the interplay between imperfect information about real economic activity including supply demand and inventory accumulation and speculative activity in oil markets furthermore i present new evidence that there were economically and statistically significant effects of investor flows on futures prices after controlling for returns in the united states and emerging economy stock markets a measure of the balance sheet flexibility of large financial institutions open interest the futures spot basis and lagged returns on oil futures the largest impacts on futures prices were from intermediate term growth rates of index positions and managed money spread positions moreover my findings suggest that these effects were through risk or informational channels distinct from changes in convenience yield finally the evidence suggests that hedge fund trading in spread positions in futures impacted the shape of term structure of oil futures prices this paper was accepted by wei xiong finance

detecting spot price forecasts in futures prices futures markets are often described as having two important social functions first they facilitate the transfer of commodity price risk and second they provide forecasts of commodity prices the evidence that futures markets transfer price risk is irrefutable however there is some debate about the markets forecasting ability in particular forecasts based on the current spot price are often as good as those based on the futures price some economists cite a failure to detect superior forecast power in futures prices as evidence of market inefficiency see e g leuthold 1974 and martin and garcia 1981 there are at least two other explanations first there may be nothing for the futures market to forecast if the current spot price equals the true expectation of the future spot price the futures market cannot provide a better forecast second a superior futures market forecast may be obscured by the unexpected component of the realized spot price the true expectation of the future spot price is unobservable one must approximate this expectation with the actual future spot price

analytical pricing of discrete arithmetic asian options with mean reversion and jumps abstract empirical evidence indicates that commodity prices are mean reverting and exhibit jumps as some commodity option payoffs involve the arithmetic average of historical commodity prices we derive an analytical solution to arithmetic asian options under a mean reverting jump diffusion process the analytical solution is implemented with the fast fourier transform based on the joint characteristic function of the terminal asset price and the realized average value we also examine the accuracy and computational efficiency of the proposed method through numerical studies

the information content of a nonlinear macro finance model for commodity prices state of the art term structure models of commodity prices have serious difficulties extrapolating the prices of long maturity futures contracts from short dated contracts this situation is problematic for valuing real commodity linked assets we estimate a nonlinear four factor continuous time model of commodity price dynamics the model nests many previous specifications to estimate the model we use crude oil prices and inventories the inventory data and nonlinear price dynamics have a large impact on oil price forecasts the additional factor in our model compared with current three factor models has a significant impact on model implied long maturity futures prices received november 23 2015 editorial decision september 12 2016 by editor geert bekaert

investigating heterogeneity in brand preferences in logit models for panel data in analyzing panel data the issue of heterogeneity across households is an important consideration if heterogeneity is present but is ignored in the analysis it will result in biased and inconsi

a real options model to assess the role of flexibility in forestry and agroforestry adoption and disadoption in the lower mississippi alluvial valley efforts to restore the lower mississippi alluvial valley s forests have not achieved desired levels of ecosystem services production we examined how the variability of returns and the flexibility to change or postpone decisions option value affects the economic potential of forestry and agroforestry systems to keep private land in production while still providing ecosystem services a real options analysis examined the impact of flexibility in decision making under agriculture forestry and agroforestry and demonstrated that adoption of forestry or agroforestry systems is less feasible than would be predicted by deterministic capital budgeting models

a likelihood approach to estimating market equilibrium models this paper develops a new likelihood based method for the simultaneous estimation of structural demand and supply models for markets with differentiated products we specify an individual level discrete choice model of demand and derive the supply side assuming manufacturers compete in prices the proposed estimation method considers price endogeneity through simultaneous estimation of demand and supply allows for consumer heterogeneity and incorporates a pricing rule consistent with economic theory the basic idea behind the proposed estimation procedure is to simulate prices and choice probabilities by solving for the market equilibrium by repeating this many times we obtain an empirical distribution of equilibrium prices and probabilities the empirical distribution is then smoothed and used in a likelihood procedure to estimate the parameters of the model the advantage of this method is that it avoids the need to perform a transformation of variables if the tastes of consumers are independent across market periods our approach yields maximum likelihood estimates otherwise it yields consistent but not fully efficient partial likelihood estimates

liquidity provision and stock return predictability this paper examines the trading behavior of two groups of liquidity providers specialists and competing market makers using a six year panel of nyse data trades of each group are negatively correlated with contemporaneous price changes to test for return predictability we sort stocks into quintiles based on each group s past trades and then form long short portfolios stocks most heavily bought have significantly higher returns than stocks most heavily sold over the two weeks following a sort cross sectional analysis shows smaller more volatile less actively traded and less liquid stocks more often appear in the extreme quintiles time series analysis shows the long short portfolio returns are positively correlated with a market wide measure of liquidity a double sort using past trades of specialists and competing market makers produces a long short portfolio that earns 88 basis points per week act as complements finally we identify a chain of liquidity provision designated market makers nyse specialists initially trade against order flows and prices changes specialists later mean revert their inventories by trading with competing market makers who appear to spread trades over a number of days alternatively specialists may trade with competing market makers who arrive to market with delay

opening and closing the market evidence from the london stock exchange we investigate the performance of call markets at the open and close using a unique natural experiment provided by the london stock exchange where traders can choose between a call and an off exchange dealership system although the call market dominates dealers in terms of price discovery it suffers from a high failure rate to open and close trading especially when trading conditions are difficult the call s trading costs increase with asymmetric information slow trading order flow imbalances and uncertainty traders resort to use of call auctions is negatively correlated with firm size implying that the call may not be the optimal method for opening and closing trading of medium and small sized stocks

nonparametric regression techniques in economics this introduction to nonparametric regression emphasizes techniques that might be most accessible and useful to the applied economist the paper begins with a brief overview of the class of models under study and central theoretical issues such as the curse of dimensionality the bias variance trade off and rates of convergence the paper then focuses on kernel and nonparametric least squares estimation of the nonparametric regression model and optimal differencing estimation of the partial linear model constrained estimation and hypothesis testing is also discussed empirical examples include returns to scale in electricity distribution and hedonic pricing of housing attributes

the samuelson hypothesis in futures markets an analysis using intraday data this paper considers the samuelson hypothesis which argues that the futures price volatility increases as the futures contract approaches its expiration utilizing intraday data from 20 futures markets in six futures exchanges we find strong support for the samuelson hypothesis in agricultural futures however the samuelson hypothesis does not hold for other futures contracts we also provide supporting evidence that the negative covariance hypothesis is the key factor for the empirical support of the samuelson hypothesis in addition our findings remain largely unaltered even after we control for seasonality and liquidity effects

pricing of forwards and other derivatives in cointegrated commodity markets abstract we analyze cointegration in commodity markets and propose a parametric class of pricing measures which preserves cointegration for forward prices with fixed time to maturity we present explicit expressions for the term structure of volatility and correlation in the context of our spot price models based on continuous time autoregressive moving average dynamics for the stationary components the term structures have many interesting shapes and we provide some empirical evidence from refined oil future prices at nymex defending our modeling idea motivated from these results we present a cointegrated forward price dynamics using the heath jarrow morton approach in this setting the concept of cointegration is extended to what we call cointegration in the limit which is an asymptotic form of the notion the margrabe formula for spread option prices is shown to hold with an explicit plug in volatility we present several numerical examples showing that cointegration leads to significantly cheaper spread options compared to the complete market case where cointegration disappears with respect to the pricing measure

does risk sharing motivate interdealer trading we use unique data from the london stock exchange to test whether interdealer trade facilitates inventory risk sharing among dealers we develop a methodology that focuses on periods of extreme inventories inventory cycles we further distinguish between inventory cycles that are unanticipated and those that are anticipated because of worked orders the pattern of interdealer trade during inventory cycles matches theoretical predictions for the direction of trade and the inventories of trade counterparts we also show that london dealers receive higher trading revenues for taking larger positions

logit demand estimation under competitive pricing behavior an equilibrium framework discrete choice models of demand have typically been estimated assuming that prices are exogenous since unobservable to the researcher product attributes such as coupon availability may impact consumer utility as well as price setting by firms we treat prices as endogenous specifically prices are assumed to be the equilibrium outcomes of nash competition among manufacturers and retailers to empirically validate the assumptions we estimate logit demand systems jointly with equilibrium pricing equations for two product categories using retail scanner data and cost data on factor prices in each category we find statistical evidence of price endogeneity we also find that the estimates of the price response parameter and the brand specific constants are generally biased downward when the endogeneity of prices is ignored our framework provides explicit estimates of the value created by a brand i e the difference between consumers willingness to pay for a brand and its cost of production we develop theoretical propositions about the relationship between value creation and competitive advantage for logit demand systems and use our empirical results to illustrate how firms use alternative value creation strategies to accomplish competitive advantage

price mean reversion seasonality and options markets options on agricultural commodities with maturities exceeding one year seldom trade one possible reason to explain this lack of trading is that we do not have an accurate option pricing model for products where mean reversion in spot price levels can be expected standard option pricing models assume proportionality between price variance and time to maturity this proportionality is not a valid assumption for commodities whose supply response brings prices back to production costs the model proposed here incorporates mean reversion in spot price levels and includes a correction for seasonality mean reversion and seasonality are both observed in the soybean market the empirical analysis lends strong support to the model

a multifactor stochastic volatility model of commodity prices we propose a novel representation of commodity spot prices in which the cost of carry and the spot price volatility are both driven by an arbitrary number of risk factors nesting many existing specifications the model exhibits unspanned stochastic volatility provides simple closed form expressions of commodity futures and yields analytic formulas of european options on futures we estimate the model using oil futures and options data and find that the pricing of traded contracts is accurate for a wide range of maturities and strike prices the results suggest that at least three risk factors in the spot price volatility are needed to accurately fit the volatility surface of options on oil futures highlighting the importance of using general multifactor models in pricing commodity contingent claims

investment and operating choice oil and natural gas futures prices and drilling activity abstract we present evidence that changes in oil and natural gas field investment measured by drilling rig use respond positively to changes in the futures prices of oil and natural gas consistent with predictions based upon value maximizing behavior these results hold for world regions dominated by private independent oil companies but not national oil companies in those cases where futures price changes are identified as drivers the role of spot prices is either absent or weak the results are robust to several alternative specifications including controls for changes in rig productivity

can real option values explain apparent storage at a loss since decisions to sell grain are irreversible waiting to sell grain can have a real option value this real option value may explain why producers appear to store too long a new seasonal mean reversion model is estimated that allows prices to be a random walk with drift within a season but mean reverting across crop years unless prices are extremely low selling before mean reversion begins is optimal thus the real option value of waiting does not explain why some producers seem to store at a loss in the latter part of crop years