the forecasting ability of correlations implied in foreign exchange options abstract this paper evaluates the forecasting accuracy of correlations derived from implied volatilities in dollar mark dollar yen and mark yen options from january 1989 to may 1995 as a forecast of realized correlation between the dollar mark and dollar yen implied correlation is compared against three alternative forecasts based on time series data historical correlation riskmetrics exponentially weighted moving average correlation and correlation estimated using a bivariate garch 1 1 model at the 1 month and 3 month forecast horizons we find that implied correlation outperforms often significantly these alternative forecasts in combinations implied correlation always incrementally improves the performance of other forecasts but not the converse in certain cases historically based forecasts contribute no incremental information to implied forecasts the superiority of the implied correlation forecast holds even when forecast errors are weighted by realized variances reflecting correlation s contribution to the dollar variance of a multicurrency portfolio

answering the skeptics yes standard volatility models do provide accurate forecasts a voluminous literature has emerged for modeling the temporal dependencies in financial market volatility using arch and stochastic volatility models while most of these studies have documented highly significant in sample parameter estimates and pronounced intertemporal volatility persistence traditional ex post forecast evaluation criteria suggest that the models provide seemingly poor volatility forecasts contrary to this contention we show that volatility models produce strikingly accurate interdaily forecasts for the latent volatility factor that would be of interest in most financial applications new methods for improved ex post interdaily volatility measurements based on high frequency intradaily data are also discussed

measuring the subprime crisis contagion evidence of change point analysis of copula functions in this paper we first determine the existence of structural changes in the dependence between time series of equity index returns of two markets using the change point testing method the method is based on archimedean copula functions which are able to comprehensively describe dependence characteristics of random variables the degree of financial contagion between markets is subsequently estimated using the tail dependence coefficient of copula functions before and after the change point we empirically test our method by investigating financial contagion during the subprime crisis between the us s p 500 index and five asian markets namely china japan korea hong kong and taiwan our results show that a statistically significant change point exists in the dependence between the us market and all asian stock markets except taiwan the upper tail dependence is larger after the time of change implying the existence of contagion during the banking crisis between the us and the asian economies the degree of financial contagion is also estimated and found to be consistent with market events and media reports during that period

the structure and degree of dependence a quantile regression approach abstract the copula function defines the degree of dependence and the structure of dependence this paper proposes an alternative framework to decompose the dependence using quantile regression we demonstrate that the methodology provides a detailed picture of dependence including asymmetric and non linear relationships in addition changes in the degree or structure of dependence can be modeled and tested for each quantile of the distribution the empirical part applies the framework to three different sets of financial time series and demonstrates substantial differences in dependence patterns among asset classes and through time the analysis of 54 global equity markets shows that detailed information about the structure of dependence is crucial to adequately assess the benefits of diversification in normal times and crisis times

product value as a determinant of opec s official crude oil prices additional evidence the rate of imitation of a capital embodied process innovation economica 44 feb 1977 63 69 sahal devendra patterns of technological innovation reading ma addison wesley 1981 saxonhouse gary r estimated parameters as dependent variables american economic review 66 mar 1976 178 183 theil henri on the estimation of relationships involving qualitative variables american journal of sociology 76 july 1970 103 154 principles of econometrics new york wiley sons 1971 walker david an analysis of financial and structural characteristics of banks with retail eft machines working paper 79 1 fdic 1979

estimating the correlation structure of international share prices recently the case for international portfolio diversification has been convincingly argued in the framework of mean variance portfolio analysis by a number of researchers however virtually no empirical documentation exists concerning the best method for estimating the correlation structure of international share prices in this paper 12 models for estimating the international correlation matrix are presented and empirically tested relative to full historical extrapolation the major evaluation criteria are the mean squared error and stochastic dominance based on the frequency distribution of the squared forecast errors the results indicate that the national mean model strictly dominates all the others in terms of forecasting accuracy in the last fifteen years or so a number of researchers have convincingly argued the case for international portfolio diversification as opposed to purely domestic diversification in the framework of mean variance portfolio analysis see e g grubel 4 levy and sarnat 8 solnik 12 mcdonald 10 lessard 6 and subrahmanyam 15 1 in spite of the emerging consensus in the academic and investment communities that investors can benefit from international diversification in terms of a more efficient risk return tradeoff virtually no empirical documentation exists concerning the best method for estimating the correlation structure of international share prices since estimating this correlation structure is a necessary precondition for being able to apply modern portfolio theory to international investments empirical examination is of major importance moreover only through empirical examination of the correlation structure will the effort to devise a simple algorithm that can be used to solve for the optimal international portfolio be facilitated in order to trace out the set of ex ante efficient international porffolios using the tenets of modern portfolio theory the investor must obtain accurate estimates of the expected return and the variance of return for each domestic and foreign security and he must also obtain accurate estimates of the correlation coefficients of the returns between each pair of securities stated in terms of his numeraire

overnight information and stochastic volatility a study of european and us stock exchanges abstract this paper provides a comprehensive evaluation of the predictive ability of information accumulated during nontrading hours for a set of european and us stock indexes we introduce a stochastic volatility model which conditions on lagged overnight information distinguishes between the nontrading periods of weeknights weekends holidays and long weekends and allows for an asymmetric leverage effect on the impact of overnight news we implement bayesian methods for estimation and ranking of the empirical models and find two key results i there is substantial predictive ability in financial information accumulated during nontrading hours and ii the performance of stochastic volatility models improves considerably by separating the asymmetric impact of positive and negative news made available over weeknights weekends holidays and long weekends

conditional heteroscedasticity in time series of stock returns evidence and forecasts this article presents new evidence about the time series behavior of stock prices daily return series exhibit significant levels of second order dependence and they cannot be modeled as linear white noise processes a reasonable return generating process is empirically shown to be a first order autoregressive process with conditionally heteroskedastic innovations in particular generalized autoregressive conditional heteroskedastic garch 1 1 processes fit to data very satisfactorily various out of sample forecasts of monthly return variances are generated and compared statistically forecasts based on the garch model are found to be superior copyright 1989 by the university of chicago

hansen and sargent s recursive models of dynamic linear economies a review essay lars peter hansen and thomas j sargent s book recursive models of dynamic linear economies exposits extends and applies methods for solution and analysis of dynamic stochastic linear quadratic models the book which can be used as a monograph or in a graduate course integrates theory econometrics and computation this essay provides a summary and offers some mild complaints about material not included in what is already a remarkably comprehensive book

crack spread hedging accounting for time varying volatility spillovers in the energy futures markets crude oil heating oil and unleaded gasoline futures contracts are simultaneously analysed for their effectiveness in reducing price volatility for an energy trader a conceptual model is developed for a trader hedging the crack spread various hedge ratio estimation techniques are compared to a multivariate garch model that directly incorporates the time to maturity effect often found in futures markets modelling of the time variation in hedge ratios via the multivariate garch methodology and thus taking into account volatility spillovers between markets is shown to result in significant reductions in uncertainty even while accounting for trading costs copyright 2002 john wiley sons ltd

monitoring and forecasting currency crises can we improve forecasts of currency crises by using a large number of predictors which economic variables are most important to predict currency crises this paper evaluates the performance of traditional leading indicators and a new diffusion index di method as early warning systems to monitor the risk and forecast the likelihood of the recent currency crises in east asia we find that relative to traditional leading indicators such as money multipliers terms of trade etc the diffusion index performs quite well in real time with a higher probability of providing correct signals we also find that the economic variables that help in forecasting future crises are output growth the balance of payments interest rates and money growth and that their relative importance changes dramatically around the time of the crises

the contagion channels of july august 2011 stock market crash a dag copula based approach abstract the objective of this paper is to empirically investigate whether there is a contagion phenomenon between the stock markets during the july august 2011 stock market crash when there is a market contagion we will identify the propagation channel through which the crash is transmitted hence after checking if there is financial contagion between the stock markets we will see if the transmission mechanism constraints of wealth outweighs that of the portfolio rebalancing an additional test covering the interdependence between the stock and bond markets during the crash helps us verify whether the transmission is due either to the cross market rebalancing channel or to the flight to quality phenomenon on the basis of the combination of the copula theory and the directed acyclic graph to study the structure of causal dependence between the stock market during the period that lies between 01 02 2010 and 28 11 2012 we show that the links between countries are different between the pre crash period and that of the crash more specifically the links that do not exist during normal times seem to have a major role during the crash period we interpret this result as an evidence of the existence of pure contagion on the one hand the tests show that the channel of the portfolio rebalancing was the major mechanism for the spread of the crash on the other hand the phenomenon of the cross market rebalancing existed only in germany whereas that of the flight to quality was in all the other studied stock markets

multivariate density forecast evaluation and calibration in financial risk management high frequency returns on foreign exchange we provide a framework for evaluating and improving multivariate density forecasts among other things the multivariate framework lets us evaluate the adequacy of density forecasts involving cross variable interactions such as time varying conditional correlations we also provide conditions under which a technique of density forecast calibration can be used to improve deficient density forecasts and we show how the calibration method can be used to generate good density forecasts from econometric models even when the conditional density is unknown finally motivated by recent advances in financial risk management we provide a detailed application to multivariate high frequency exchange rate density forecasts

nonlinear forecasting analysis using diffusion indexes an application to japan this paper extends the diffusion index di forecast approach of stock and watson 1998 2002 to the case of possibly nonlinear dynamic factor models when the number of series is large a two step procedure based onthe method of principal components is useful since it allows wide variety of nonlinearity in the factors the factors extracted from a large japanese data suggest some evidence of nonlinear structure furthermore both the linear and nonlinear di forecasts in japan outperform traditional time series forecasts while the linear di forecast in most cases performs as well as the nonlinear di forecast

a nonparametric garch model of crude oil price return volatility the use of parametric garch models to characterise crude oil price volatility is widely observed in the empirical literature in this paper we consider an alternative approach involving nonparametric method to model and forecast oil price return volatility focusing on two crude oil markets brent and west texas intermediate wti we show that the out of sample volatility forecast of the nonparametric garch model yields superior performance relative to an extensive class of parametric garch models these results are supported by the use of robust loss functions and the hansen s 2005 superior predictive ability test the improvement in forecasting accuracy of oil price return volatility based on the nonparametric garch model suggests that this method offers an attractive and viable alternative to the commonly used parametric garch models

the expectation hypothesis of the term structure of very short term rates statistical tests and economic value this paper re examines the validity of the expectation hypothesis eh of the term structure of us repo rates ranging in maturity from overnight to three months we extend the work of longstaff 2000a in two directions i we implement statistical tests designed to increase test power in this context ii more importantly we assess the economic value of departures from the eh based on criteria of profitability and economic significance in the context of a simple trading strategy the eh is rejected throughout the term structure examined on the basis of the statistical tests however the results of our economic analysis are favorable to the eh suggesting that the statistical rejections of the eh in the repo market are economically insignificant

the empirical role of the exchange rate on the crude oil price formation this paper adopts a novel empirical approach to the crude oil price formation for the purpose of understanding the price reactions of opec member countries to changes in the exchange rate of the us dollar against other major currencies and prices of other members the results are broadly consistent with the view of the absence of a unified opec determined price in the international crude market literature in addition the results also highlight a cross regional dimension of the crude oil market

directional accuracy forecasting error and the profitability of currency trading model based evidence three models the flexible price monetary model ppp and a univariate arima model are estimated for 45 currency pairs to find out if the profitability of forecasting based currency trading is more related to the ability of the underlying model to predict the direction of change than the magnitude of the forecasting error theoretical considerations show that a correct prediction of the direction of change is neither a necessary nor a sufficient condition for a profitable trade the results of the exercise indicate that profitability is more strongly correlated with directional accuracy than with the magnitude of the error

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

efficiency with costly information a study of mutual fund performance 1965 1984 if information is costly to collect and implement then it is efficient for trades by informed investors to occur at prices sufficiently different from full information prices to compensate them for the cost of becoming informed this notion is tested by evaluating investment performance in the mutual fund industry over a 20 year period the study finds evidence that is consistent with optimal trading in efficient markets risk adjusted returns in the mutual fund industry net of fees and expenses are comparable to returns available in index funds and portfolio turnover and management fees are unrelated to fund performance

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

comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate abstract the relative out of sample forecasting quality of symmetric and asymmetric conditional volatility models of an exchange rate differs according to the symmetric and asymmetric evaluation criteria both symmetric and asymmetric forecast competitors of currency volatility are biased and systematically over predict volatility

asymmetry loss aversion and forecasting conditional volatility models such as garch have been used extensively in financial applications to capture predictable variation in the second moment of asset returns however with recent theoretical literature emphasising the loss averse nature of agents this paper considers models which capture time variation in the second lower partial moment utility based evaluation is carried out on several approaches to modelling the conditional second order lower partial moment or semi variance including distribution and regime based models the findings show that when agents are loss averse

oil and international energy this article focuses on issues surrounding international oil markets within the wider context of international energy the global economy and conflicting agendas such as energy security and climate change it is suggested that important aspects of the current situation appear unsustainable increasing uncertainty and raising methodological difficulties for any assessment of likely future developments it is argued that the dynamics of oil prices during the 2002 9 cycle reflected great uncertainty about future fundamentals as well as the absence of previously anticipated stabilizing feedbacks from supply from demand or from policy it is suggested that damaging oil price swings could be moderated by better policy though probably not by financial regulation in the longer term the uncertainties remain very great especially since the tensions between a realist view of likely energy market developments and the imperatives of the climate change agenda remain unresolved a wide range of policies in producer and consumer countries are likely to affect not only oil prices but also the contentious issue of the distribution of rents within the industry copyright 2011 oxford university press

exchange rate predictability the main goal of this article is to provide an answer to the question does anything forecast exchange rates and if so which variables it is well known that exchange rate fluctuations are very difficult to predict using economic models and that a random walk forecasts exchange rates better than any economic model the meese and rogoff puzzle however the recent literature has identified a series of fundamentals methodologies that claim to have resolved the puzzle this article provides a critical review of the recent literature on exchange rate forecasting and illustrates the new methodologies and fundamentals that have been recently proposed in an up to date thorough empirical analysis overall our analysis of the literature and the data suggests that the answer to the question are exchange rates predictable is it depends on the choice of predictor forecast horizon sample period model and forecast evaluation method predictability is most apparent when one or more of the following hold the predictors are taylor rule or net foreign assets the model is linear and a small number of parameters are estimated the toughest benchmark is the random walk without drift

an analysis of factors affecting price volatility of the us oil market abstract this paper studies the price volatility of the crude oil market by examining the market structure of opec the stable and unstable demand structure and related elasticity of demand in particular the impacts of prosperity and recession of the world economy and the resulting demand shift on crude oil price are investigated the error correction model is used to estimate the demand relations and related elasticity the income effect on demand functions is evaluated to shed light on future prices a simulation of potential oil prices under different scenarios on a cut of one million barrels per day by opec is evaluated from our simulation given the 4 cut in opec production the oil price is expected to increase unless the recession is severe the magnitude and scope of a price hike would be diminished if non opec or domestic production were greatly expanded

oil supply disruptions and modelling methodologies the role of lp models abstract this paper has three main objectives first an argument is made that oil vulnerability is not a problem of the past but remains a significant concern for all oil consuming countries especially beyond 1990 second it is suggested that the severity of past disruptions can be attributed in part to physical and institutional constraints that prevented the oil market from reacting quickly to what were relatively minor supply disruptions the currently changing structure of the world oil market in particular the evolving sales agreements under which an increasing percentage of world oil is traded and the vertical integration of major opec members into areas such as refining could decrease the ability of the market to adjust to future disruptions third it is suggested that linear programming lp models offer unique capabilities in assessing the degree to which the world and domestic oil markets could adjust to short term supply disruptions given constraints on transport trade and refining possibilities imposed by the physical structures of those market sectors or by control of those sectors by increasingly powerful producing countries the assessment of this flexibility will help pinpoint areas needing attention and also contribute indirectly to the evaluation of short run demand elasticities for world oil the us department of energy s petroleum allocation pal model is used as an example of one lp model that can address such issues

a utility based comparison of some models of exchange rate volatility abstract when estimates of variances are used to make asset allocation decisions underestimates of population variances lead to lower expected utility than equivalent overestimates a utility based criterion is asymmetric unlike standard criteria such as mean squared error to illustrate how to estimate a utility based criterion we use five bilateral weekly dollar exchange rates 1973 1989 and the corresponding pair of eurodeposit rates of homoskedastic garch autoregressive and non parametric models for the conditional variance of each exchange rate garch models tend to produce the highest utility on average a mean squared error criterion also favors garch but not as sharply

structure and performance global interdependence of stock markets around the crash of october 1987 using a new data source on share price indices this paper finds no evidence that the substantial variations in the reactions to the crash of october 1987 across countries are related to the structure of markets however trading halts and capital controls on residents may have moderated the speed of declines in some markets the paper also examines one measure of interlinkages between markets the trading of foreign stocks on domestic markets and finds this to be closely related to interdependence between markets

risk2 measuring the risk in value at risk the recent derivatives disasters have focused the attention of the finance industry on the need to control financial risks better this search has led to a uniform measure of risk called value at risk var which is the expected worst loss over a given horizon at a given confidence level var numbers however are themselves affected by sampling variation or estimation risk thus the risk in value at risk itself nevertheless given these limitations var is an indispensable tool to control financial risks this article lays out the statistical methodology for analyzing estimation error in var and shows how to improve the accuracy of var estimates

optimal binary prediction for group decision making we address the problem of optimally forecasting a binary variable for a heterogeneous group of decision makers facing various binary decision problems that are tied together only by the unknown outcome a typical example is a weather forecaster who needs to estimate the probability of rain tomorrow and then report it to the public given a conditional probability model for the outcome of interest e g logit or probit we introduce the idea of maximum welfare estimation and derive conditions under which traditional estimators such as maximum likelihood or nonlinear least squares are asymptotically socially optimal even when the underlying model is misspecified

multivariate cointegration analysis of the finnish japanese stock markets abstract in this paper evidence on the cointegration between the finnish and japanese financial markets is provided the results obtained by multivariate cointegration analysis indicate that changes in the nikkei financial market have an impact on the error correction mechanism of the finnish stock market

the economic value of volatility timing using a range based volatility model abstract there is growing interest in utilizing the range data of asset prices to study the role of volatility in financial markets in this paper a new range based volatility model was used to examine the economic value of volatility timing in a mean variance framework we compared its performance with a return based dynamic volatility model in both in sample and out of sample volatility timing strategies for a risk averse investor it was shown that the predictable ability captured by the dynamic volatility models is economically significant and that a range based volatility model performs better than a return based one

posterior predictive and utility based approaches to testing the arbitrage pricing theory abstract to provide a framework for judging the economic significance of departures from the arbitrage pricing theory we adopt a utility based metric based on optimal portfolio choices this measure is examined using both predictive and posterior analysis our predictive analysis shows very large and economically significant departures from the model restrictions however the high level of parameter uncertainty suggests that we cannot conclusively either affirm or reject the apt our conclusions differ markedly from other studies which employ traditional significance testing procedures and in many instances fail to reject the apt restrictions

time varying quantile association regression model with applications to financial contagion and var abstract this paper develops a quantile association regression model which is able to capture the dynamic quantile dependence in the tails of conditional distributions the association measure the quantile specific odds ratio qor captures the tendency of two random variables being simultaneously below specific quantiles it is independent of marginal distributions and invariant to monotonic transformation and enjoys methodological advantages over popular alternatives such as the copula the ability of the qor measure to capture and forecast a range of different dependence structures is first shown via simulations in the financial application we implement the model and compute the qor on a daily basis to assess contagion for 10 stock markets during two recent crises our empirical results show that contagion exists during the us banking crisis between the us and all tested markets and between greece and the tested european markets during the euro crisis hence the model is able to capture the changes in quantile dependence between stock markets and offer a vivid description of market events in addition the model provides an accurate valuation of daily value at risk var

a rational explanation for home country bias abstract while modern portfolio theory predicts that investors should diversify across international markets corporate equity is essentially held by domestic investors french and poterba 1991 french k poterba j 1991 investor diversification and international equity markets american economic review 81 222 226 suggest that in order for this bias to be justified investors must hold optimistic expectations about their domestic markets and pessimistic expectations about their foreign markets tesar and werner 1995 tesar l l werner i m 1995 home bias and high turnover journal of international money and finance 14 467 492 find existing explanations for the home equity bias unsatisfactory and conclude that the issue poses a challenge for portfolio theory we develop a model that incorporates both the foregone gains from diversification and the informational constraints of international investing and shows that home equity bias is consistent with rational mean variance portfolio choice specifically we prove that the nature of estimation risk in international markets can be responsible for this phenomenon we show that when the cross market variability in the estimation errors of international markets means far exceeds the cross market variability in the means themselves domestic dedication dominates international diversification an examination of 11 international markets returns over the last 25 years from the perspective of german japanese and us investors provides evidence consistent with this explanation

extreme coexceedances in new eu member states stock markets abstract we analyze the financial integration of the new european union eu member states stock markets using the negative positive coexceedance variable that counts the number of large negative large positive returns on a given day across the countries a similar analysis is performed for the old eu countries we use a multinomial logit model to investigate how persistence asset classes and volatility are related to the coexceedance variables we find that the effects differ a between negative and positive coexceedance variables b between old and new eu member states and c before and after the eu enlargement in 2004 suggesting a closer connection of new eu stock markets to those in western europe

the taylor rule and forecast intervals for exchange rates in this paper we examine the meese rogoff puzzle from a different perspective out of sample interval forecasting while most studies in the literature focus on point forecasts we apply semiparametric interval forecasting to a group of exchange rate models forecast intervals for 10 oecd exchange rates are generated and the performance of the empirical exchange rate models are compared with the random walk our contribution is twofold first we find that in general exchange rate models generate tighter forecast intervals than the random walk given that their intervals cover out of sample exchange rate realizations equally well our results suggest a connection between exchange rates and economic fundamentals economic variables contain information useful in forecasting distributions of exchange rates we also find that the benchmark taylor rule model performs better than the monetary ppp and forward premium models and its advantages are more pronounced at longer horizons second the bootstrap inference framework proposed in this paper for forecast interval evaluation can be applied in a broader context such as inflation forecasting

opec and world oil security abstract on the margin the effectiveness of policy to enhance the stability of world oil market oil conditions greatly depends on which countries supply what economists would call the marginal barrels that is the barrels whose production responds to changes in demand if the countries dominating the production of the marginal barrels are relatively unstable policies to reduce world oil consumption or boost oil production from stable suppliers will provide the additional benefit of reducing the contribution of unstable producers to the world oil market if the countries dominating the marginal barrel are relatively stable however policies to reduce world oil consumption or boost oil production from stable suppliers will be less effective in promoting oil market stability typically we think of the highest cost producers as supplying the marginal barrel of oil but our assessment finds it quite likely that opec dominates production of the marginal barrel of world oil moreover opec members have been among the more unstable producers on a historical basis hence reducing world oil consumption and promoting oil production in stable non opec countries will enhance world oil security policies to promote stability in opec countries also would enhance world oil security

oil prices without opec a walk on the supply side abstract the rapid increases of oil prices during the 1970s are commonly regarded as prima facie evidence of monopoly power this paper applies the theory of exhaustible resources to estimate the equilibrium oil prices also known as efficiency prices which would have prevailed in the absence of monopoly profits the theory incorporates an extraction cost function wherein cost is a rising function of the cumulative amount of oil extracted the model is used to simulate efficiency price paths under a variety of assumptions about extraction costs and real interest rates which are representative of perceptions at various times in recent history these simulations show that the price increases of 1974 and 1979 1980 can be explained as a response to supply side changes espicially changes in the perceived cost of the backstop technology and the fall in real interest rates in the mid and late 1970s thus while efficiency prices were high in the 1970s relative to extraction costs it is plausible that average monopoly profits were negligible this situation appears to have changed in the early 1980s due to the return of real interest rates to their historic levels in early 1982 even spot prices already below official prices were substantially above the estimated efficiency or competitive price level on the other hand efficiency prices remain far above extraction costs thus even if the price setting power of opec were eroded by competition the real price of oil would not fall below the level established in 1974

the rationality of usda forecasts under multivariate asymmetric loss a large number of previous studies suggest that many usda forecasts are biased and or inefficient these findings however may be the result of the assumed loss function of usda forecasters we test the rationality of the usda net cash income forecasts and the wasde production and price forecasts between 1988 and 2018 using a flexible multivariate loss function that allows for asymmetric loss and non separable forecast errors our results provide robust evidence that usda forecasters are rational expected loss minimizers yet demonstrate a tendency to place a greater weight on under or overprediction as a result this study provides an alternate interpretation of previous findings of forecast irrationality

how relevant is volatility forecasting for financial risk management it depends if volatility fluctuates in a forecastable way volatility forecasts are useful for risk management hence the interest in volatility forecastability in the risk management literature volatility forecastability however varies with horizon and different horizons are relevant in different applications moreover existing assessments of volatility forecastability are plagued by the fact that they are joint assessments of volatility forecastability and an assumed model and the results can vary not only with the horizon but also with the assumed model to address this problem we develop a model free procedure for assessing volatility forecastability across horizons perhaps surprisingly we find that volatility forecastability decays quickly with horizon volatility forecastability although clearly of relevance for risk management at the short horizons relevant for say trading desk management may be much less important at longer horizons

caviar conditional autoregressive value at risk by regression quantiles value at risk var has become the standard measure of market risk employed by financial institutions for both internal and regulatory purposes var is defined as the value that a portfolio will lose with a given probability over a certain time horizon usually one or ten days despite its conceptual simplicity its measurement is a very challenging statistical problem and none of the methodologies developed so far give satisfactory solutions interpreting the var as the quantile of future portfolio values conditional on current information we propose a new approach to quantile estimation which does not require any of the extreme assumptions invoked by existing methodologies such as normality or i i d returns the conditional autoregressive value at risk or caviar model moves the focus of attention from the distribution of returns directly to the behavior of the quantile we specify the evolution of the quantile over time using a special type of autoregressive process and use the regression quantile framework introduced by koenker and bassett to determine the unknown parameters since the objective function is not differentiable we use a differential evolutionary genetic algorithm for the numerical optimization utilizing the criterion that each period the probability of exceeding the var must be independent of all the past information we introduce a new test of model adequacy the dynamic quantile test applications to simulated and real data provide empirical support to this methodology and illustrate the ability of these algorithms to adapt to new risk environments

contagion around the october 1987 stock market crash abstract this study investigates financial contagion among seven international stock markets around the october 19 1987 crash building on a recent advance in vector autoregression analysis by swanson n granger c w j 1997 impulse response functions based on a causal approach to residual orthogonalization in vector autoregression journal of the american statistical association 92 357 367 data determined historical decompositions are conducted to provide a day by day picture of price fluctuation transmission which is crucial to explore the financial contagion pattern characterized by rich dynamics the results clearly show that the crash originated in the us market and that an upward movement in the japanese market after the crash helped the recovery in the us market which has not yet been empirically documented in the literature

estimation and testing of forecast rationality under flexible loss in situations where a sequence of forecasts is observed a common strategy is to examine rationality conditional on a given loss function we examine this from a different perspective supposing that we have a family of loss functions indexed by unknown shape parameters then given the forecasts can we back out the loss function parameters consistent with the forecasts being rational even when we do not observe the underlying forecasting model we establish identification of the parameters of a general class of loss functions that nest popular loss functions as special cases and provide estimation methods and asymptotic distributional results for these parameters this allows us to construct new tests of forecast rationality that allow for asymmetric loss the methods are applied in an empirical analysis of imf and oecd forecasts of budget deficits for the g7 countries we find that allowing for asymmetric loss can significantly change the outcome of empirical tests of forecast rationality