the behavior of foreign exchange rates the analysis of the distribution of foreign exchange rate changes provides a description of the behavior of foreign exchange rates and its determining underlying process the application of empirical methodologies or further theoretical developments is limited by the nature of this distribution in this paper the empirical analysis of major currencies during the flexible exchange rate period suggests that there is no unique distribution representing the behavior of the foreign exchange rate this however is determined both by foreign exchange management policies and the fundamental economic forces

new measures of monetary policy surprises and jumps in interest rates abstract we propose new surprise measures to characterise two important dimensions of monetary policy our measures outperform the traditional monetary shocks in explaining variation of interest rates in the event study framework we also study the extent to which the ecb caused jumps in euro area interest rates the new surprises still prevail upon the traditional ones jumps play a great role in the variation of interest rates and the ecb induced several jumps with its decisions but its predictability has improved over time we find that although the surprise measures become somewhat distorted due to money market tensions during the financial turmoil our model still provides an interesting insight into interest rate behaviour throughout the crisis

models of stock returns a comparison in this paper a discrete mixture of normal distributions is proposed to explain the observed significant kurtosis fat tails and significant positive skewness in the distribution of daily rates of returns for a sample of common stocks and indexes stationarity tests on the parameter estimates of this discrete mixture of normal distributions model revealed significant differences in the mean estimates that can explain the observed skewness and significant differences in the variance estimates that can explain the observed kurtosis an alternative explanation for the observed fat tails is the symmetric student model the result of a comparison between the models is that the discrete mixture of normal distributions model has substantially more descriptive validity than the student model for many years both financial economists and statisticians have been concerned with the description of stock market returns the form of the distribution of stock returns is a crucial assumption for mean variance portfolio theory theoretical models of capital asset prices and the prices of contingent claims for example understanding the behavior of the variance is essential to option pricing models empirical tests of asset pricing models and the efficient markets hypothesis draw statistical inferences that are also conditional on distributional assumptions the most convenient assumption for financial theory and empirical methods is that the distribution of security rates of return be multivariate normal with parameters that are stationary over time since the normal distribution is stable under addition any arbitrary portfolio of stocks will also be normally distributed with the additional assumption of risk aversion mean variance theory follows furthermore the assumptions of normality and parameter stationarity are required for most of the econometric techniques typically used in empirical research tests of the normality hypothesis on the daily returns of the dow jones industrial stocks by fama 121 revealed more kurtosis fatter tails than that predicted from a sample of independent and identically distributed normal variates fama concluded from this evidence that the distribution of price changes conforms better to the stable paretian distribution with characteristic exponent

value at risk estimation with the optimal dynamic biofuel portfolio abstract in the past petroleum companies only paid attention to hedging the variation in the crude oil price and volatility however they have now expanded their analysis to encompass renewable sources such as corn and soybeans under the current low carbon biofuel obligations this paper employs garch 1 1 and arji models to estimate the one day ahead value at risk var of the optimal dynamic biofuel portfolio which consists of crude oil corn and soybeans the optimal blended standard is subject to the dual limitations of minimum production costs and the lowest biofuel using requirements our empirical findings confirm that the arji model is more suitable than the garch 1 1 model and further captures the discontinuous jump behavior from the in the sample data the results of out of sample forecasts also are represented that our models play important roles in var estimation and risk management for biofuel portfolio we therefore suggest that the petroleum companies should simultaneously pay attention to jump risk in hedging material costs in the prices of energy related crops

jump risk of presidential election evidence from taiwan stock and foreign exchange markets this article employs jump diffusion models including the arji model and the garch jump model to examine jump intensity and volatility of taiwan stock and foreign exchange markets during a presidential election period the empirical results indicate that firstly the arji model fits data better than the garch jump model secondly the presidential election events enhance the jump intensity of both markets and the jump induced variance is higher than diffusion induced variance it reveals the importance of the discrete jump process during a presidential election period and might provide some implications for option pricing or hedging strategy due to the intervention of the central bank in the foreign exchange market during a presidential election period the results indicate that jump intensity and volatility of jump size are more moderate

jump risks and the intertemporal capital asset pricing model the specification of the stochastic process for stock prices is an important assumption underlying most equilibrium and option pricing models in modern finance this is particularly true of the continuous time capital asset pricing models where it is assumed that asset prices follow diffusion processes with continuous sample paths see merton 1973a breeden 1979 grossman and shiller 1982 the extent to which the implications of these models generalize to discontinuous sample paths is an unanswered question in theoretical finance however the answer to this question is of more than just theoretical interest since accumulated empirical evidence appears to be inconsistent with the continuous sample path assumption see rosenberg 1972 oldfield rogalski and jarrow 1977 rosenfeld 1982 one purpose of this paper is to provide some answers to this question we do this by extending merton s 1973a intertemporal asset pricing model in the special case of a constant investment opportunity set to include discontinuous sample paths for asset prices the constant investment opportunity set assumption is imposed because we are interested in obtaining sufficient conditions under which an instantaneous capital asset pricing model capm results the extension of our model to a stochastic opportunity set is discussed briefly in the text this paper investigates an economy where stock prices follow a jump diffusion process the first part of the analysis derives a sufficient condition under which an instantaneous capm will characterize equilibrium expected returns the sufficient condition is that the jump component of a stock s return must be unsystematic and diversifiable in the market portfolio the second part of the paper is an empirical investigation of the satisfaction of this condition the evidence is seen to be inconsistent with the satisfaction of this hypothesis that is the market portfolio appears to contain a jump component

the distribution of foreign exchange price changes trading day effects and risk measurement a comment in their 1982 study mcfarland pettit and sung 16 mps found that consecutive daily foreign exchange rates conform to neither a normal nor a nonnormal stable process and that day of the week data could be adequately described by a series of different stable distributions the authors have also documented a weekday effect in the foreign exchange market mondays and wednesdays offered higher average price changes than did thursdays and fridays in a more recent study jaffe and westerfield 9 documented negative monday returns for the currencies of the u k canada and australia in estimating the parameters of the distribution mps have utilized the fama and roll 5 6 method which assumes a symmetric distribution jaffe and westerfield 9 report only estimates of the sample moments the sample moments reported in mps s table ii part of which is reproduced in table i here reveal that most currencies especially the minor currencies the australian dollar the spanish peseta and the swedish krona have significant skewness the results indicate that the asymmetric stable paretian distribution may be more appropriate for the overall daily returns this hypothesis is consistent with

continuous time model of uncovered interest parity with regulated jump diffusion interest differential this study investigates to what extent can an exchange rate model built on uncovered interest parity uip match the empirical features of the exchange rate and the interest differential data this article presents a continuous time model of uip in which the interest differential evolves following regulated jump diffusion simulation experiments show that the model is capable of matching several important features of the data inclusion of jumps improves the model to capture persistent dynamics of interest differential and fat tails in exchange rate returns compared to simple diffusion processes

option listing and stock returns abstract this article examines the effect of option introductions on the underlying stocks in addition to the price increase and volatility decrease that take place when new options are listed we obtain and explain the following new empirical results i an increase in the value of the market around the listing dates of new options ii an increase in the value of an industry index which excludes the optioned stocks iii the dissipation of the price and volatility effects in recent periods and iv the existence of an announcement effect in one subperiod of our sample and its dissipation in recent periods

the statistical properties of daily foreign exchange rates 1974 1983 abstract this paper examines the statistical properties of daily rates of change of five foreign currencies from 1974 to 1983 the main purpose is to discriminate between two competing explanations for the observed heavy tails of the distribution that the data are independently drawn from a heavy tail distribution which remains fixed over time and that the data come from distributions which vary over time evidence point to the rejection of the first hypothesis further investigations show that the rejection can be attributed to changing means and variances in the data which can be described by a simple statistical model

the distribution of foreign exchange price changes trading day effects and risk measurement this study investigates the nature of price changes in a variety of major and minor foreign exchange markets the results suggest that the log of price changes over one trading day intervals seems to follow a non normal stable distribution function different measures of location and to lesser extent scale are present for different days of the week dollar denominated price changes are high on mondays and wednesdays and low on thursdays and fridays for all currencies the wednesday thursday result is consistent with the settlement procedures used in foreign exchange transactions in the dollar the friday monday result is consistent with an increase in demand for the dollar prior to the weekend this study offers some previously unavailable results on the nature of price changes in a certain set of speculative markets in particular this is a study of the distributional characteristics of daily and weekly price changes for a number of major and minor foreign exchange markets the results document the existence of non normal stable distributions for price changes in foreign exchange markets these price change distributions differ by day of the week in ways that are only partly attributable to the institutional structure of the market the results of the study are interpreted within the context of understanding how foreign exchange markets operate and within the context of prior studies of stock market data concerned with summarizing the probability distribution of price changes for different intervals including days of the week since bachelier s 1 original treatise that contained the proposition that speculative market prices follow a process that could be described by a normal distribution there have been numerous alternative attempts to describe the stochastic processes which characterize speculative market prices these studies have not resulted in any generalized description of the probability distribution of price changes in such markets indeed the evidence suggests substantial differences in the process among various types of financial instruments the failure to achieve consensus can be traced to the lack of robustness in the statistical procedures employed to estimate processes and to differences in the underlying institutional or economic arrangements which are unique to that market the possibility of differences in the information set used to assess value or differences in technology for transmitting information makes it important to secure additional

price barriers and the dynamics of asset prices in equilibrium a price barrier is a price level at which a large number of investors either buy or sell securities we analyze the dynamics of asset prices in an economy in which price barriers exist our analysis suggests that asset prices and volatility can exhibit jumps when the price barrier is reached interestingly the market s anticipation of future trades can influence prices in the opposite direction from what one might expect for example when multiple barriers exist stock prices can be inflated rather than depressed in the proximity of an anticipated stock sale

information time option pricing theory and empirical evidence abstract with a stochastic time change from calendar time to information time we derive a parsimonious option pricing formula with stochastic volatility as a risk neutral poisson sum of merton s 1973 prices over the option s information time maturity domain the formula contains two unobservable parameters information arrival intensity and information time asset volatility with stochastic volatility induced by random information arrival when the information arrival rate intensifies the option price increases and vice versa we test the formula in pricing hedging and excess profits capture empirically using currency and the s p 500 futures options transaction data

on jumps in common stock prices and their impact on call option pricing the black scholes call option pricing model exhibits systematic empirical biases the merton call option pricing model which explicitly admits jumps in the underlying security return process may potentially eliminate these biases we provide statistical evidence consistent with the existence of lognormally distributed jumps in a majority of the daily returns of a sample of nyse listed common stocks however we find no operationally significant differences between the black scholes and merton model prices of the call options written on the sampled common stocks

roughing it up including jump components in the measurement modeling and forecasting of return volatility a rapidly growing literature has documented important improvements in financial return volatility measurement and forecasting via use of realized variation measures constructed from high frequency returns coupled with simple modeling procedures building on recent theoretical results in barndorff nielsen and shephard 2004a 2005 for related bi power variation measures the present paper provides a practical and robust framework for non parametrically measuring the jump component in asset return volatility in an application to the dm exchange rate the s p500 market index and the 30 year u s treasury bond yield we find that jumps are both highly prevalent and distinctly less persistent than the continuous sample path variation process moreover many jumps appear directly associated with specific macroeconomic news announcements separating jump from non jump movements in a simple but sophisticated volatility forecasting model we find that almost all of the predictability in daily weekly and monthly return volatilities comes from the non jump component our results thus set the stage for a number of interesting future econometric developments and important financial applications by separately modeling forecasting and pricing the continuous and jump components of the total return variation process

the statistical distribution of exchange rates empirical evidence and economic implications the abundant evidence that changes in exchange rates have distributions with fatter tails than the normal distribution has led researchers to consider non normal distributions including the student the stable paretian and mixtures of distributions this paper compares the empirical fits of three non normal candidates and the normal distribution for daily changes in the logarithms of exchange rates using maximum likelihood estimation of the parameters and chi square goodness of fit tests the student and mixture of two normals provide the best fits but there is evidence that the distribution parameters may vary over time

conditional correlated jump dynamics in foreign exchange abstract this paper studies conditional correlated jump dynamics in foreign exchange returns using a new bivariate jump model with autoregressive jump intensities using daily data of german mark against british pound and japanese yen against the us dollar we find currency return correlations are driven not only by the normal disturbances but also by the characteristics of simultaneous jumps

macroeconomic news announcements and stock market jump intensity dynamics abstract this paper examines the effect of macroeconomic releases on stock market volatility through a poisson gaussian garch process with time varying jump intensity which is allowed to respond to such information the day of the announcement per se is found to have little impact on jump intensities employment releases are an exception however when macroeconomic surprises are considered inflation shocks show persistent effects while monetary policy and employment shocks reveal only short lived effects also the jump intensity responds asymmetrically to macroeconomic shocks evidence on macroeconomic variables relevance in explaining jump dynamics and improving volatility forecasts on event days is provided

quadratic arch models we introduce a new model for time varying conditional variances as the most general quadratic version possible within the arch class hence it encompasses all the existing restricted quadratic variance functions its properties are very similar to those of garch models but avoids some of their criticisms in univariate applications to daily u s and monthly u k stock market returns qarch adequately represents volatility and risk premia qarch is easy to incorporate in multivariate models to capture dynamic asymmetries that garch rules out such asymmetries are found in an empirical application of a conditional factor model to 26 u k sectorial stock returns

equilibrium valuation of foreign exchange claims this article studies the equilibrium valuation of foreign exchange contingent claims within a continuous time lucas 1982 two country model exchange rates interest rates and in particular factor risk prices are all endogenously and jointly determined this guarantees the internal consistency of these price processes with a general equilibrium in the same model closed form valuation formulas are presented for currency options and currency futures options common to these formulas is that stochastic volatility and stochastic interest rates are admitted hedge ratios and other comparative statics are also provided analytically it is shown that most existing currency option models are included as special cases this article studies the equilibrium valuation and hedging of foreign exchange contingent claims the framework for analysis is the continuous time counterpart of the well known two country monetary model of lucas 1982 1 that is we use the modeling structure of lucas 1982 and adopt his representativeagent perfect pooling equilibrium notion rather than extending the lucas setup to a cox ingersoll and ross 1985a henceforth cir production economy as is done in nielsen and saa requejo 1993 for our purpose the lucas framework offers the desired simplicity and tractability we assume a stochastic structure for the international economy such that the resulting nominal interest rates and exchange rate dynamics exhibit similar empirically plausible features as the corresponding ones in nielsen and saa requejo 1993 for example the endogenous interest rates are positively correlated across national borders campbell and clarida 1987 and ilmanen 1995 as a predictor of future spot exchange rates the equilibrium forward exchange rate is biased in a direction consistent with the forward premium puzzle

pricing weather derivatives this article presents a general method for pricing weather derivatives specification tests find that a temperature series for fresno ca follows a mean reverting brownian motion process with discrete jumps and autoregressive conditional heteroscedastic errors based on this process we define an equilibrium pricing model for cooling degree day weather options comparing option prices estimated with three methods a traditional burn rate approach a black scholes merton approximation and an equilibrium monte carlo simulation reveals significant differences equilibrium prices are preferred on theoretical grounds so are used to demonstrate the usefulness of weather derivatives as risk management tools for california specialty crop growers

the equilibrium allocation of diffusive and jump risks with heterogeneous agents abstract we study a two agent pure exchange equilibrium subject to both nondiversifiable diffusive and jump risks agents can trade in a financial market consisting of a stock market a money market and an insurance market for jump risk heterogeneity is introduced through different levels of relative risk aversion in the framework of standard expected utility we find the surprising result that the less risk averse agent purchases insurance contracts against jump risk from the more risk averse agent this equilibrium allocation is linked to the non linear wealth sharing rule in such an economy and preserves the wealth effects studied by dumas rev financ stud 2 1989 157 in the case of pure diffusive risk since the benchmark economy with homogeneous agents generates no excess uncertainty in the stock market we study the effect on excess volatility and excess jump size solely due to different levels of relative risk aversion we observe 3 excess uncertainty in jump sizes for a reasonable specification of economic fundamentals

conditional jump dynamics in stock market returns this article develops a new conditional jump model to study jump dynamics in stock market returns we propose a simple filter to infer ex post the distribution of jumps this permits construction of the shock affecting the time t conditional jump intensity and is the main input into an autoregressive conditional jump intensity model the model allows the conditional jump intensity to be time varying and follows an approximate autoregressive moving average arma form the time series characteristics of 72 years of daily stock returns are analyzed using the jump model coupled with a generalized autoregressive conditional heteroscedasticity garch specification of volatility we find significant time variation in the conditional jump intensity and evidence of time variation in the jump size distribution the conditional jump dynamics contribute to good in sample and out of sample fits to stock market volatility and capture the rally often observed in equity markets following a significant downturn

the behavior of intra daily exchange rates abstract the behavior of exchange rates is examined as they evolve continuously over time the data consist of swiss franc u s dollar rates for nine days during the years 1978 1980 as quoted by a major swiss dealer operating on the interbank market since this market is highly organized the observations are market prices at the same time the distributions of relative changes in exchange rates measured over one minute are highly leptokurtic the normal distribution is rather rapidly approached when the measurement interval is lengthened from one up to ten minutes time series analysis reveals that the natural logarithms of exchange rates are adequately described by a random walk the same stochastic process as has been found for daily weekly monthly and quarterly observations for short time intervals significant autocorrelations sometimes occur at the first few lags which are however not stable enough over time to form a basis for reliable forecasts

on jump processes in the foreign exchange and stock markets exchange rates exhibit systematic discontinuities even after allowingfor conditional heteroskedasticity in the diffusion process the results are much more significant in theforeign exchange market than in the stock market which suggests differences in the structure of these markets finally this jump component is shown to explain some of the empirically observed mispricings in the currency options market the objective of this article is to analyze and compare the empirical distribution of returns in the stock market and in the foreign exchange market there are a number of reasons why a better understanding of the stochastic processes driving prices in these markets would be useful many financial models rely heavily on the assumption of a particular stochastic process while relatively little attention is paid to the empirical fit of the postulated distribution as a result models like option pricing models are applied indiscriminately to various markets such as the stock market and the foreign exchange market when the underlying processes may be fundamentally different the foreign exchange market for instance is characterized by active exchange rate man

flexible exchange rates prices and the role of news lessons from the 1970s recent experience with flexible exchange rate systems has led to renewed interest in the operation of foreign exchange markets as reflected in many recent studies of the principal determinants of exchange rates the 1970s witnessed the dramatic alteration of the international monetary system from a regime of pegged exchange rates which prevailed for about a quarter of a century since the bretton woods conference into a regime of flexible though managed rates as a consequence of the emergence of the new legal and economic system traders national governments and international organisations were confronted with new economic problems choices and instruments during the 1970s ex change rates fluctuated widely and inflation rates accelerated the international monetary system had to accommodate extraordinarily large oil related shocks which affected trade flows in goods and assets huge oil payments had to be recycled uncertainties concerning future developments in international politics reached new heights and the prospects for the world economy got gloomier these developments placed unprecedented pressures on the markets for foreign exchange as well as on other asset markets they were associated with a large slide in the value of the us dollar and resulted in speeding up the creation of new institutions like the european monetary system which provided the formal framework for the management of exchange rates among members

opec vs us shale analyzing the shift to a market share strategy abstract in november 2014 opec announced a new strategy geared towards improving its market share oil market analysts interpreted this as an attempt to squeeze higher cost producers notably us shale oil out of the market over the next year crude oil prices crashed with large repercussions for the global economy we present a simple equilibrium model that explains the fundamental market factors that can rationalize such a regime switch by opec i the growth of us shale oil production ii the slowdown of global oil demand iii reduced cohesiveness of the opec cartel and iv production ramp ups in other non opec countries while v reductions in us shale costs act against these factors we show that these qualitative predictions are broadly consistent with oil market developments during 2014 2015 the model is calibrated to oil market data it predicts accommodation up to 2014 and a market share strategy thereafter and explains large oil price swings as well as realistically high levels of opec output

a jump diffusion model for the european monetary system abstract we propose a general continuous time bivariate jump diffusion representation for the exchange rates of european currencies our model captures key features of the exchange rate mechanism fluctuation within bilateral limits is modeled by appropriate diffusion dynamics while discontinuous variation in the level of the fluctuation band is posited to have a jump structure under specific assumptions the probability distribution of the exchange rate process is derived analytically we also perform an empirical investigation of these exchange rates comparing the fit of alternative models we find some evidence of mean reversion inside the bands for these exchange rates jel f33 c51

correlated jumps in crude oil and gasoline during the gulf war this article employs a bivariate poisson jump model to investigate the relationship between the volatility of crude oil and gasoline especially during the period of the gulf war we find that greater jumps occurring in crude oil returns will appear in gasoline returns at the same time but the magnitude of the co movements in volatility falls the covariance is relatively smaller in the second gulf war vs the first conflict the volatility of crude oil is of significantly high levels during periods of the war yet the volatility of gasoline is not as sensitive as crude oil particularly in the second conflict furthermore the jump that occurred by the war did not lead both spot prices to a high persistent level for a long period which fits the feature of the jump models all these findings are important to market traders and hedging strategies

jump processes in commodity futures prices and options pricing empirical evidence shows that log return relatives on commodity futures prices are not normally distributed this departure from normality seems to be caused by large price changes occurring in the commodity markets with the arrival of important new information this suggests that a jump diffusion model may be a plausible choice for modeling the stochastic process underlying commodity option prices merton 1976a develops a jump diffusion option pricing model assuming that jump risk is unsystematic however the jump diffusion model developed by bates 1991 is more appropriate for commodity option pricing since it allows jump risk to be systematic in this article recent transactions data on futures and futures options are used to test out of sample options using american versions of black s diffusion and bates s jump diffusion models the results show that bates s model performs considerably better than black s model jump diffusion asian option prices are also shown to differ considerably from geometric brownian motion asian option prices

short run fluctuations in foreign exchange rates evidence from the data 1973 1979 abstract the paper examines the statistical properties of daily changes in foreign exchange fx rates for nine currencies it finds that these changes are leptokurtotic i e have long tailed and sharp peaked histograms the evidence suggests that this leptokurtosis does not arise from an underlying paretian stable distribution nor from a stationary mixture of normal distributions but rather from normal processes with time varying parameters this finding casts doubt on the validity of many standard techniques t stats arima methods some moving statistics for estimating the time varying parameters are also presented

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

adoption of residential solar power under uncertainty implications for renewable energy incentives abstract many incentives at the state and federal level exist for household adoption of renewable energy like solar photovoltaic pv panels despite generous financial incentives the adoption rate is low we use the option value framework which takes into account the benefit of delaying investment in response to uncertainty to examine the decision by households to invest in solar pv using a simulation model we determine optimal adoption times critical values of discounted benefits and adoption rates over time for solar pv investments using data from massachusetts we find that the option value multiplier is 1 6 which implies that the discounted value of benefits from solar pv needs to exceed installation cost by 60 for investment to occur without any policies median adoption time is eight years longer under the option value decision rule compared to the net present value decision rule where households equate discounted benefits to installation cost rebates and other financial incentives decrease adoption time but their effect is attenuated if households apply the option value decision rule to solar pv investments results suggest that policies that reduce the uncertainty in returns from solar pv investments would be most effective at incentivizing adoption

an empirical examination of the variance gamma model for foreign currency options we apply the variance gamma vg option pricing model to currency options the model is a pure infinite activity jump model we examine whether and to what extent this new model can improve the pricing quality for currency options over the existing modified black scholes model and the merton jump diffusion jd model we find that the vg model yields better out of sample pricing performance than the modified black scholes model or the jd model in addition a cross entropy analysis shows that the vg model is more consistent with the general criterion of utility maximization and optimal portfolio selection

general equilibrium pricing of options on the market portfolio with discontinuous returns when the price process for a long lived asset is of a mixed jump diffusion type pricing of options on that asset by arbitrage is not possible if trading is allowed only in the underlaying asset and a risk less bond using a general equilibrium framework we derive and analyze option prices when the underlying asset is the market portfolio with discontinuous returns the premium for the risk of jumps and the diffusion risks forms a significant part of the prices of the options in this economy an attempted replication of call and put options by the black scholes type of trading strategies may require substantial infusion of funds when jumps occur we study the cost and risk implications of such dynamic hedging plans article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

conditional variance and the risk premium in the foreign exchange market abstract we investigate the existence of a risk premium in the foreign exchange market based on the conditional variance of market forecast errors the forecast errors are assumed to follow the arch process introduced by engle 1982 estimation and diagnostic testing of the model are discussed and results are presented for the currencies of the united kingdom france germany japan and switzerland