conditional dependence structure between oil prices and exchange rates a copula garch approach abstract we study the conditional dependence structure between crude oil prices and u s dollar exchange rates using a copula garch approach various copula functions of the elliptical archimedean and quadratic families are used to model the underlying dependence structure in both bearish and bullish market phases over the 2000 2011 period we find evidence of significant and symmetric dependence for almost all the oil exchange rate pairs considered the rise in the price of oil is found to be associated with the depreciation of the dollar moreover we show that student t copulas best capture the extreme dependence and that taking the extreme comovement into account leads to improve the accuracy of var forecasts our main results remain unchanged when considering alternative garch type specifications and the crisis period but are sensitive to the use of raw returns

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

nowcasting the real time informational content of macroeconomic data abstract a formal method is developed for evaluating the marginal impact that intra monthly data releases have on current quarter forecasts nowcasts of real gross domestic product gdp growth the method can track the real time flow of the type of information monitored by central banks because it can handle large data sets with staggered data release dates each time new data are released the nowcasts are updated on the basis of progressively larger data sets that reflecting the unsynchronized data release dates have a jagged edge across the most recent months

macro economy stock market and oil prices do meaningful relationships exist among their cyclical fluctuations this paper examines the relationship among consumer price index industrial production stock market and oil prices in greece initially we use a unified statistical framework cointegration and vecm to study the data in levels we then employ a multivariate var model to examine the relationship among the cyclical components of our series the period of the study is from 1996 1 to 2008 6 findings suggest that oil prices and the stock market exercise a positive effect on the greek cpi in the long run cyclical components analysis suggests that oil prices exercise significant negative influence to the stock market in addition oil prices are negatively influencing cpi at a significant level however we find no effect of oil prices on industrial production and cpi finally no relationship can be documented between the industrial production and stock market for the greek market the findings of this study are of particular interest and importance to policy makers financial managers financial analysts and investors dealing with the greek economy and the greek stock market

volatility spillovers between oil prices and stock sector returns implications for portfolio management abstract in this article we take a recent generalized var garch approach to examine the extent of volatility transmission between oil and stock markets in europe and the united states at the sector level the empirical model is advantageous in that it typically allows simultaneous shock transmission in the conditional returns and volatilities insofar as volatility transmission across oil and stock sector markets is a crucial element for portfolio designs and risk management we also analyze the optimal weights and hedge ratios for oil stock portfolio holdings with respect to the results our findings point to the existence of significant volatility spillover between oil and sector stock returns however the spillover is usually unidirectional from oil markets to stock markets in europe but bidirectional in the united states our back testing procedures finally suggest that taking the cross market volatility spillovers estimated from the var garch models often leads to diversification benefits and hedging effectiveness better than those of commonly used multivariate volatility models such as the ccc garch of bollerslev 1990 the diagonal bekk garch of engle and kroner 1995 and the dcc garch of engle 2002

realized volatility transmission the role of jumps and leverage effects this paper is the first to employ a multivariate extension of the lhar cj model for realized volatility of corsi and reno 2012 considering continuous and jump volatility components and leverage effects the model is applied to financial s p 500 commodity wti crude oil and forex us eur intraday futures data and allows new insights in the transmission mechanisms among these markets besides significant leverage effects we find that the jump components of all considered assets do not contain incremental information for the one step ahead realized volatility the volatility of s p 500 and us eur exchange rate futures exhibits significant spillovers to the realized volatility of wti moreover decreasing equity prices appear to increase volatility in other markets while strengthening of the us seems to calm down the crude oil market

forecasting volatility of crude oil markets abstract this article investigates the efficacy of a volatility model for three crude oil markets brent dubai and west texas intermediate wti with regard to its ability to forecast and identify volatility stylized facts in particular volatility persistence or long memory in this context we assess persistence in the volatility of the three crude oil prices using conditional volatility models the cgarch and figarch models are better equipped to capture persistence than are the garch and igarch models the cgarch and figarch models also provide superior performance in out of sample volatility forecasts we conclude that the cgarch and figarch models are useful for modeling and forecasting persistence in the volatility of crude oil prices

oil and the macroeconomy since world war ii all but one of the u s recessions since world war ii have been preceded typically with a lag of around three fourths of a year by a dramatic increase in the price of crude petroleum this does not mean that oil shocks caused these recessions evidence is presented however that even over the period 1948 72 this correlation is statistically significant and nonspurious supporting the proposition that oil shocks were a contributing factor in at least some of the u s recessions prior to 1972 by extension energy price increases may account for much of post opec macroeconomic performance

forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models this paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of garch type models our results can be summarized as follows first we provide evidence of parameter instability in five out of nine garch based conditional volatility processes for energy prices second long memory is effectively present in all the series considered and a figarch model seems to better fit the data but the degree of volatility persistence diminishes significantly after adjusting for structural breaks finally the out of sample analysis shows that volatility models accommodating instability and long memory characteristics of the data provide the best volatility forecasts for most cases

dynamics of oil price precious metal prices and exchange rate this study examines the co movements and information transmission among the spot prices of four precious metals gold silver platinum and palladium oil price and the us dollar euro exchange rate we find evidence of a weak long run equilibrium relationship but strong feedbacks in the short run the spot precious metal markets respond significantly but temporarily to a shock in any of the prices of the other metal prices and the exchange rate furthermore we discover some evidence of market overreactions in the palladium and platinum cases as well as in the exchange rate market in conclusion whether there are overreactions and re adjustments or not investors may diversify at least a portion of the risk away by investing in precious metals oil and the euro policy implications are provided

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

fees eat diversification s lunch although diversification is often spoken of as the only free lunch in investing the authors show that it is not free and that it must be considered in light of its costs they also show that fees on diversifying asset classes are high relative to their risk adjusted diversification benefit with the more exotic asset classes carrying higher price tags because there is meaningful cross sectional variation fees need to be considered when making strategic asset allocation decisions

modeling volatility and correlations between emerging market stock prices and the prices of copper oil and wheat abstract increased financial integration between countries and the financialization of commodity markets are providing investors with new ways to diversify their investment portfolios this paper uses varma agarch and dcc agarch models to model volatilities and conditional correlations between emerging market stock prices copper prices oil prices and wheat prices the dynamic conditional correlation model is found to fit the data the best and used to generate dynamic conditional correlations hedge ratios and optimal portfolio weights emerging market stock prices and oil prices display leverage effects where negative residuals tend to increase the variance conditional volatility more than positive ones correlations between these assets increased considerably after 2008 and have yet to return to their pre 2008 values on average oil provides the cheapest hedge for emerging market stock prices while copper is the most expensive but given the variability in the hedge ratios one should probably not put too much emphasis on average hedge ratios

energy markets volatility modelling using garch abstract this paper investigates the empirical properties of oil natural gas and electricity price volatilities using a range of univariate and multivariate garch models and daily data from wholesale markets in the united states for the period from 2001 to 2013 the key contribution to the literature is the estimation of trivariate bekk and dcc models that allow us to observe spillovers and interactions among energy markets we evaluate and compare the performance of univariate and multivariate models with a range of diagnostic and forecast performance tests and assess forecasting performance and conditional correlation dynamics

the relation between implied and realized volatility abstract previous research finds the volatility implied by s p 100 index option prices to be a biased and inefficient forecast of future volatility and to contain little or no incremental information beyond that in past realized volatility in contrast we find that implied volatility outperforms past volatility in forecasting future volatility and even subsumes the information content of past volatility in some of our specifications our results differ from previous studies because we use longer time series and nonoverlapping data a regime shift around the october 1987 crash explains why implied volatility is more biased in previous work

the effects of crude oil shocks on stock market shifts behaviour a regime switching approach abstract in this paper we develop a two regime markov switching egarch model introduced by henry henry o 2009 regime switching in the relationship between equity returns and short term interest rates journal of banking and finance 33 405 414 to examine the relationship between crude oil shocks and stock markets an application to stock markets of uk france and japan over the sample period january 1989 to december 2007 illustrates plausible results we detect two episodes of series behaviour one relative to low mean high variance regime and the other to high mean low variance regime furthermore there is evidence that common recessions coincide with the low mean high variance regime in addition we allow both real stock returns and probability of transitions from one regime to another to depend on the net oil price increase variable the findings show that rises in oil price has a significant role in determining both the volatility of stock returns and the probability of transition across regimes

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

estimating oil price value at risk using the historical simulation approach abstract in this paper we propose using value at risk var for oil price risk quantification var provides an estimation for the maximum oil price change associated with a likelihood level and can be used for designing risk management strategies we analyse three var calculation methods the historical simulation standard approach the historical simulation with arma forecasts hsaf approach developed in this paper and the variance covariance method based on autoregressive conditional heteroskedasticity models forecasts the results obtained indicate that hsaf methodology provides a flexible var quantification which fits the continuous oil price movements well and provides an efficient risk quantification

realized volatility transmission between crude oil and equity futures markets a multivariate har approach this paper differs from extant literature because it studies volatility co movements with a multivariate orthogonalized har model a flexible specification for the time series of realized volatility which is able to identify short mid and long term spillover effects we examine volatility transmission mechanisms using high frequency data of the stock index futures on s p 500 nikkei 225 ftse 100 and the futures on the west texas intermediate crude oil during the period from september 2002 to september 2012 considering the full sample the short term volatility of the equity futures contains information about future oil volatility incremental to the information inherent in the time series of oil volatility on the other hand weekly and monthly volatilities do not exhibit a significant spillover effect breaking the whole sample into three subsamples no significant granger causalities are observed in the pre crisis period while in the crisis time and its aftermath we document that the us and uk equity market volatilities to granger cause the oil futures volatility which itself leads the japanese market in terms of magnitude we observe an increase in the short term volatility spillover over time studying the residuals of the har transmission models within a ccc dcc garch framework reveals increasing instantaneous correlation between the energy and equity volatilities in the course of time

dynamic spillovers of oil price shocks and economic policy uncertainty this study examines the dynamic relationship between changes in oil prices and the economic policy uncertainty index for a sample of both net oil exporting and net oil importing countries over the period 1997 01 2013 06 to achieve that an extension of the diebold and yilmaz 2009 2012 dynamic spillover index based on structural decomposition is employed the results reveal that economic policy uncertainty oil price shocks responds negatively to aggregate demand oil price shocks economic policy uncertainty shocks furthermore during the great recession of 2007 2009 total spillovers increase considerably reaching unprecedented heights moreover in net terms economic policy uncertainty becomes the dominant transmitter of shocks between 1997 and 2009 while in the post 2009 period there is a significant role for supply side and oil specific demand shocks as net transmitters of spillover effects these results are important for policy makers as well as investors interested in the oil market

determinants of food consumption in rural sierra leone abstract this paper reports the application of a quadratic expenditure system with demographic variables to the household consumption leisure choice component of a household firm model a system of seven commodities is estimated including five foods non food and leisure appropriate for such a level of disaggregation a demand system is used the quadratic expenditure system which allows for a flexible relationship between full income and commodity expenditures without sacrificing parsimony in parameters demographic data on households are explicitly incorporated into the model allowing for a richer specification than can be achieved by using per capita variables the data are from a cross section survey of households in rural sierra leone price variation exists by region permitting estimation of a complete demand system engel curves are found to be significantly non linear with marginal expenditure on rice the major staple declining with higher income most foods are found to be reasonably price responsive with sizeable own price substitution effects declining with higher income aggregate labor supply is found to be price inelastic

alpha hunters and beta grazers the search for incremental returns alphas in current parlance has become the holy grail of active investment this article begins by drawing a distinction between two broad classes of alphas 1 allocation alphas that are broadly available on a non zero sum basis by moving the strategic portfolio toward a more balanced return risk structure and 2 truly active skill based return enhancements derived from opportunistic inefficiencies inefficiencies can be hard to discern and even harder to exploit which may help explain both why some investors are able to consistently produce positive alpha and also why they are so few in number

forecasting crude oil market volatility further evidence using garch class models abstract this paper extends the work of kang et al 2009 we use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity garch class models to capture the volatility features of two crude oil markets brent and west texas intermediate wti the one five and twenty day out of sample volatility forecasts of the garch class models are evaluated using the superior predictive ability test and with more loss functions unlike kang et al 2009 we find that no model can outperform all of the other models for either the brent or the wti market across different loss functions however in general the nonlinear garch class models which are capable of capturing long memory and or asymmetric volatility exhibit greater forecasting accuracy than the linear ones especially in volatility forecasting over longer time horizons such as five or twenty days

forecasting the volatility of crude oil futures using intraday data abstract we use the information in intraday data to forecast the volatility of crude oil at a horizon of 1 66 days using a variety of models relying on the decomposition of realized variance in its positive or negative semivariances part and its continuous or discontinuous part jumps we show the importance of these decompositions in predictive in sample regressions using a number of specifications nevertheless an important empirical finding comes from an out of sample analysis which unambiguously shows the limited interest of considering these components overall our results indicates that a simple autoregressive specification mimicking long memory and using past realized variances as predictors does not perform significantly worse than more sophisticated models which include the various components of realized variance

the estimation and testing of a system of demand equations for the uk this paper examines the results of estimating and testing a system of demand equations for the uk using quarterly data for the period 1955 69 variations in the results of other authors when testing demand restrictions are discussed a number of test statistics are employed to test the symmetry restrictions all of which lead to emphatic rejection possible explanations for conflict in the results of testing demand restrictions are examined

is fed policy still relevant for investors thirty eight years of u s data indicate that u s monetary policy continues to have a strong relationship with security returns u s stock returns are consistently higher and less volatile when the federal reserve is following an expansive monetary policy furthermore the monetary policy related return patterns of companies considered to be most sensitive to changes in monetary conditions are much more pronounced than average patterns finally the influence of u s monetary policy is global international indexes have return patterns similar to those for the u s market overall the evidence suggests that investment professionals should continue to consider monetary conditions when performing fundamental analysis of u s and international securities

the mismeasurement of risk investors typically measure risk as the probability of a given loss or the amount that can be lost with a given probability at the end of their investment horizons this view of risk considers only the final result but investors perceive or should perceive risk differently they are affected by exposure to loss throughout the investment period not just at its conclusion we introduce two new ways of measuring risk within horizon probability of loss and continuous value at risk that reveal that exposure to loss is substantially greater than investors normally assume

forecasting oil price realized volatility using information channels from other asset classes motivated from ross 1989 who maintains that asset volatilities are synonymous to the information flow we claim that cross market volatility transmission effects are synonymous to cross market information flows or information channels from one market to another based on this assertion we assess whether cross market volatility flows contain important information that can improve the accuracy of oil price realized volatility forecasting we concentrate on realized volatilities derived from the intra day prices of the brent crude oil and four different asset classes stocks forex commodities and macro which represent the different information channels by which oil price volatility is impacted from we employ a har framework and estimate forecasts for 1 day to 66 days ahead our findings provide strong evidence that the use of the different information channels enhances the predictive accuracy of oil price realized volatility at all forecasting horizons numerous forecasting evaluation tests and alternative model specifications confirm the robustness of our results

modeling and forecasting the volatility of petroleum futures prices we investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the new york mercantile exchange west texas intermediate crude oil heating oil 2 and unleaded gasoline and suggest some stylized facts about the volatility of these futures markets particularly in regard to volatility persistence or long memory properties in this context we examine the persistence of market returns and volatility simultaneously using the following arfima garch class models arima garch arfima garch arfima igarch and arfima figarch although the arfima figarch model better captures long memory properties of returns and volatility the out of sample analysis indicates no unique model for all three types of petroleum futures contracts suggesting that investors should be careful when measuring and forecasting the volatility risk of petroleum futures markets

herding behaviour and the declining value relevance of accounting information evidence from an emerging stock market abstractthis article sheds light on the underlying mechanisms behind the changes in the value relevance of accounting information in the karachi stock exchange kse during the 1999 2010 period we find that neither changes in earnings quality nor the earnings lack of timeliness hypothesis can explain the decline in the value relevance of accounting information in the kse based on the stylized facts associated with the growth of the kse and the broader economics literature we argue that the reduction in the explanatory power of accounting information vis a vis stock returns was caused by herding behaviour empirical estimates from state space model of herding behaviour confirm the existence of herding and we find that the value relevance of accounting information is significantly lower in periods characterized by herding behaviour this article is also amongst the first attempts to empirically demonstrate that an expansionary monetary policy and increases in foreign portfolio investment lead to increas

market risk in commodity markets a var approach we put forward value at risk models relevant for commodity traders who have long and short trading positions in commodity markets in a 5 year out of sample study on aluminium copper nickel brent crude oil and wti crude oil daily cash prices and cocoa nearby futures contracts we assess the performance of the riskmetrics skewed student aparch and skewed student arch models while the skewed student aparch model performs best in all cases the skewed student arch model delivers good results and its estimation does not require non linear optimization procedures as such this new model could be relatively easily integrated in a spreadsheet like environment and used by market practitioners

forecasting petroleum futures markets volatility the role of regimes and market conditions in this paper we employ regime volatility models to describe time dependency in petroleum markets using a sample of nymex and ice futures contracts we establish the existence of a regime process and link this process to market fundamentals this formulation results in two distinct states a highly persistent conditional volatility process characterised by long memory and low sensitivity to market shocks and a relatively short lived nonstationary process with less memory but higher sensitivity to shocks moreover to investigate the relationship between disequilibrium and volatility of oil futures across high and low volatility regimes we use augmented regime garch models to address in a realistic way the potential diverse response of volatility to forward curve shocks the performance of these models is compared to benchmarks using both statistical tests and risk management loss functions to test the robustness of the forecasting strategies we also perform a reality check employing the stationary bootstrap approach the findings of this paper have important implications for decision making concerning trading and risk management as well as energy market operations such as refining and budget planning by providing valuable information on the oil price volatility dynamics and the ability to predict risk

volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory abstract this paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities crude oil natural gas gold and silver a broad set of the most popular linear and nonlinear garch type models is used to investigate this relevancy our in sample and out of sample results show that volatility of commodity returns can be better described by nonlinear volatility models accommodating the long memory and asymmetry features in particular the fiaparch model is found to be the best suited for estimating the var forecasts for both short and long trading positions this model also gives for all four commodities the lowest number of violations under the basel ii accord rule given a risk exposure at the 99 confidence level several implications for commodity market risks policy regulations and hedging strategies can be drawn from the obtained results

estimating consumer demand in korea abstract in this paper time series annual data on five consumer goods for korea are analyzed using the neoclassical model of consumer behavior the approach taken is the indirect utility function and employs a translog form various restrictive specifications of consumer preferences with respect to homotheticity and separability are examined and rejected by the likelihood ratio test income and price elasticities are estimated which appear to be generally high relative to those of developed countries growth in real income is primarily responsible for changes in commodity demand marginal utilities of income and associated income elasticities are calculated which are consistent with normal expectations

a model of an agricultural household in a multi crop economy the case of korea it is the purpose of this paper to describe one method of extending the empirical applicability of the theory of the farm household to multi crop economies by integrating the econometric and linear programming models already available in the literature section i introduces the subject in section ii the theoretical model is presented in section iii korean data are used to assess the quantitative significance of the approach by calculating and comparing household response to changes in input and output prices for two different specifications of the models first the household is analyzed from the consumption side on the assumption that farm profits are exogenous this corresponds to the standard approach in consumer demand theory and second results are presented for a model in which consumption and production responses are integrated in a theoretically consistent fashion and farm profits are allowed to reflect production responses to price changes the results from this and other studies that use an integrated approach to production and consumption decisions highlight the need to change perceptions concerning agricultural household response to economic incentives in developing countries and to revise the design of economic projects and policies accordingly