evidence of nonlinearity in daily stock returns this article applies a newly developed statistical technique to time series of daily rates of return of 15 common stocks the technique involves estimating the bispectrum of the observed time series the bispectrum is defined as the double fourier transform of the third order cumulant function if the process generating rates of return is linear with independent innovations then the skewness of the bispectrum will be constant the article describes a test that can detect nonconstant skewness in the bispectrum hence if the test rejects constant skewness a nonlinear process is implied as a consequence the test can distinguish between white noise and purely random noise the results suggest that daily stock returns are generated by a nonlinear process

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

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

dynamic spillover effects among crude oil precious metal and agricultural commodity futures markets abstract this paper examines spillover effects among six commodity futures markets gold silver west texas intermediate crude oil corn wheat and rice by employing the multivariate deco garch model and the spillover index specifically we investigate the dynamics of return and volatility spillover indices to reveal the intensity and direction of transmission during the recent global financial and european sovereign debt crises our empirical results are as follows first we estimate a positive equicorrelation between commodity futures market returns and find that it increased sharply during the crises this effect can persist during periods of economic and financial turmoil diminishing the benefits of international portfolio diversification for investors second we identify bidirectional return and volatility spillovers across commodity futures markets and find more pronounced trends in their levels in the post crisis period this indicates the strong impact of spillovers during crisis periods third both gold and silver are information transmitters to other commodity futures markets while the remaining four commodity futures investigated were receivers of spillovers during recent periods of financial stress finally we analyse the optimal portfolio weights and time varying hedge ratios between metal and other commodities futures markets overall our findings provide new insights into channels of information transmission which may improve investment decisions and inform portfolio investors trading strategies

evaluating interval forecasts a complete theory for evaluating interval forecasts has not been worked out to date most of the literature implicitly assumes homoskedastic errors even when this is clearly violated and proceed by merely testing for correct unconditional coverage consequently i set out to build a consistent framework for conditional interval forecast evaluation which is crucial when higher order moment dynamics are present the new methodology is demonstrated in an application to the exchange rate forecasting procedures advocated in risk management

international evidence on crude oil price dynamics applications of arima garch models abstract we examine the usefulness of several arima garch models for modeling and forecasting the conditional mean and volatility of weekly crude oil spot prices in eleven international markets over the 1 2 1997 10 3 2009 period in particular we investigate the out of sample forecasting performance of four volatility models garch egarch and aparch and figarch over january 2009 to october 2009 forecasting results are somewhat mixed but in most cases the aparch model outperforms the others also conditional standard deviation captures the volatility in oil returns better than the traditional conditional variance finally shocks to conditional volatility dissipate at an exponential rate which is consistent with the covariance stationary garch models than the slow hyperbolic rate implied by the figarch alternative

volatility forecasting with range based egarch models we provide a simple yet highly effective framework for forecasting return volatility by combining exponential generalized autoregressive conditional heteroscedasticity models with data on the range using standard and poor s 500 index data for 1983 2004 we demonstrate the importance of a long memory specification based on either a two factor structure or fractional integration that allows for some asymmetry between market returns and volatility innovations out of sample forecasts reinforce the value of both this specification and the use of range data in the estimation we find substantial forecastability of volatility as far as 1 year from the end of the estimation period contradicting the return based conclusions of west and cho and of christoffersen and diebold that predicting volatility is possible only for short horizons

dynamic conditional score models a review of their applications abstractin this paper applications of dynamic conditional score dcs models are reviewed and those models are discussed in relation to classical time series models from the literature dcs models

normal mixture diffusion with uncertain volatility modelling short and long term smile effects this paper introduces a parameterization of the normal mixture diffusion nmd local volatility model that captures only a short term smile effect and then extends the model so that it also captures a long term smile effect we focus on the binomial nmd parameterization so called because it is based on simple and intuitive assumptions that imply the mixing law for the normal mixture log price density is binomial with more than two possible states for volatility the general parameterization is related to the multinomial mixing law in this parsimonious class of complete market models option pricing and hedging is straightforward since model prices and deltas are simple weighted averages of black scholes prices and deltas but they only capture a short term smile effect where leptokurtosis in the log price density decreases with term in accordance with the stylised facts of econometric analysis on ex post returns of different frequencies and the central limit theorem however the last part of the paper shows that longer term smile effects that arise from uncertainty in the local volatility surface can be modeled by a natural extension of the binomial nmd parameterization results are illustrated by calibrating the model to several euro us dollar currency option smile surfaces

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

var methods for the dynamic impawn rate of steel in inventory financing under autocorrelative return abstract this paper proposes the way of setting the dynamic impawn rate by dividing the impawn periods into different risk windows in an efficient financial market the return is hypothetically independent while in a pledged inventory market where spot transactions predominate the return is auto correlative therefore the key to setting the impawn rate is to predict the long term risk in this experiment using the database of spot steel we established a model with the formula ar 1 garch 1 1 ged forecasting the var of steel during the different risk windows in the impawn period through a method of out of sample and got the impawn rate according with the risk exposure of banks the results of our experiment indicated that the introduction of coefficient k into the model can significantly improve bank risk coverage and reduce its efficiency loss besides the impawn rate obtained by the model correlates positively with the lowest price in the future risk windows

a class of nonlinear arch models a class of nonlinear arch models is suggested the proposed class encompasses several functional forms for arch which have been put forth in the literature a lagrange multiplier test is developed to test engle s arch specification against the wider class of models this test provides an easily computed diagnostic check of the adequacy of an arch model after it has been estimated the theory is applied to a number of weekly exchange rate series and we find strong evidence of nonlinear arch

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

sensitivity of the bank stock returns distribution to changes in the level and volatility of interest rate a garch m model abstract the objective of this paper is to employ the generalized autoregressive conditionally heteroskedastic in the mean garch m methodology to investigate the effect of interest rate and its volatility on the bank stock return generation process this framework discards the restrictive assumptions of linearity independence and constant conditional variance in modeling bank stock returns the model presented here allows for shifts in the volatility equation in response to the changes in monetary policy regime in 1979 and 1982 to be estimated arch garch and volatility feed back effects are found to be significant interest rate and interest rate volatility are found to directly impact the first and the second moments of the bank stock returns distribution respectively the latter also affects the risk premia indirectly the degree of persistence in shocks is substantial for all the three bank portfolios and sensitive to the nature of the bank portfolio and the prevailing monetary policy regime

do macro economic news announcements affect the volatility of foreign exchange rates some evidence from australia this paper investigates the role of australian macro economic announcement news on five major australian dollar aud exchange rates specifically the daily changes of the exchange rates are modelled to ascertain the existence and the nature of the news effects in the conditional mean and variance of the changes it is found that a higher than expected current account deficit and unemployment rate announcements depreciated the aud and an unexpectedly higher gdp growth announcement appreciated it current account deficit cpi and unemployment news announcements significantly raised the conditional volatility of the changes of the aud on the days of their announcements except for the bp aud for the cpi news and there is some evidence of retail sales news reducing it in general the evidence is consistent with a view that a release of new information creates uncertainty in the markets due to a lack of consensus on the effects of the particular news announcement and the necessary course of action in add

explaining international stock correlations with cpi fluctuations and market volatility this paper investigates the dynamic correlations among six international stock market indices and their relationship to inflation fluctuation and market volatility the current research uses a newly developed time series model the double smooth transition conditional correlation with conditional auto regressive range dstcc carr model findings reveal that international stock correlations are significantly time varying and the evolution among them is related to cyclical fluctuations of inflation rates and stock volatility the higher lower correlations emerge between countries when both countries experience a contractionary expansionary phase or higher lower volatilities

dynamic causality between the u s stock market the chinese stock market and the global gold market implications for individual investors diversification strategies this paper proposes a generalization of the prior var and egarch model to explore the linkage between returns and volatility transmissions in the u s stock market the chinese stock market and th

correlations in price changes and volatility across international stock markets the short run interdependence of prices and price volatility across three major international stock markets is studied daily opening and closing prices of major stock indexes for the tokyo london and new york stock markets are examined the analysis utilizes the autoregressive conditionally heteroskedastic arch family of statistical models to explore these pricing relationships evidence of price volatility spillovers from new york to tokyo london to tokyo and new york to london is observed but no price volatility spillover effects in other directions are found for the pre october 1987 period article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

dynamic stock market covariances in the eurozone abstract this paper examines the short term dynamics macroeconomic sensitivities and longer term trends in the variances and covariances of national equity market index daily returns for eleven countries in the euro currency zone we modify colacito engle and ghysel s mixed data sampling dynamic conditional correlation garch model to include a new scalar measure for the degree of correlatedness in time varying correlation matrices we also explore the robustness of the findings with a less model dependent realized covariance estimator we find a secular trend toward higher correlation during our sample period and significant linkages between macroeconomic and market wide variables and dynamic correlation one notable finding is that average correlation between these markets is lower when their average gdp growth rate is lower or when more of them have negative gdp growth

risk behavior and rational expectations in the u s broiler market this study examines the empirical implications of extending the rational expectations hypothesis reh to include price uncertainty a general estimation framework that incorporates both the restrictions on structural parameters and the variance covariance terms is developed garch time series processes are used to generate time varying expectations of both the means and the variances of exogenous variables the empirical application is with a quarterly model of the u s broiler industry the results indicate that the rational expectation of price variance is an important determinant of broiler supply a formal test indicates that the restrictions implied by the reh cannot be rejected

asset market linkages evidence from financial commodity and real estate assets abstract we use a general markov switching model to examine the relationships between returns over three different asset classes financial assets us stocks and treasury bonds commodities oil and gold and real estate assets us case shiller index we confirm the existence of two distinct regimes a tranquil regime with periods of economic expansion and a crisis regime with periods of economic decline the tranquil regime is characterized by lower volatility and significantly positive stock returns during these periods there is also evidence of a flight from quality from gold to stocks by contrast the crisis regime is characterized by higher volatility and sharply negative stock returns along with evidence of contagion between stocks oil and real estate furthermore during these periods there is strong evidence of a flight to quality from stocks to treasury bonds

modelling the impact of central bank intervention on exchange rate volatility under inflation targeting this article empirically investigates the effect of central bank s foreign exchange interventions on the level and volatility of the uganda shilling us dollar exchange rate ugx usd under an infla

macro determinants of volatility and volatility spillover in energy markets abstract we analyze the time varying volatility and spillover effects in crude oil heating oil and natural gas futures markets by incorporating changes in important macroeconomic variables and major political and weather related events into the conditional variance equations we allow asymmetric responses to random disturbances in each market as well as to good and bad economic news related to the overall economy results show the presence of asymmetric effects in both random disturbances and macroeconomic variables a bidirectional volatility spillover effect is found between natural gas and crude oil and between the natural gas and heating oil markets crude oil volatility is found to increase following major political financial and natural events seasonality and day of the week effects are found in the crude oil and heating oil markets

on the choice and impacts of innovative international food assistance instruments summary the rise of new food assistance instruments including local and regional procurement cash and vouchers has surpassed increase in understanding of the tradeoffs among and impacts of these options relative to traditional food aid response choices rarely appear to result from systematic response analyses further impacts along multiple dimensions timeliness cost effectiveness local market effects recipient satisfaction food quality impact on smallholder suppliers etc may be competing or synergistic no single food assistance tool is always and everywhere preferable a growing body of evidence including the papers in this special section nonetheless demonstrates the clear value added of new food assistance instruments

forecasting realized volatility with linear and nonlinear univariate models in this paper we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the s p 500 and ftse 100 futures as a proxy for daily volatility we consider a consistent and unbiased estimator of the integrated volatility that is computed from high frequency intraday returns we also consider a simple algorithm based on bagging bootstrap aggregation in order to specify the models analysed in this paper

futures trading information and spot price volatility evidence for the ftse 100 stock index futures contract using garch abstract this paper examines the impact of trading in the ftse 100 stock index futures on the volatility of the underlying spot market to examine the relationship between information and volatility as subject neglected in previous studies the garch family of techniques is used the results suggest that futures trading has led to increased volatility but that the nature of volatility has not changed post futures the finding of price changes being integrated pre futures but being stationary post futures implies that the introduction of futures has improved the speed and quality of information flowing to the spot market

dynamic correlation analysis of financial contagion evidence from asian markets we apply a dynamic conditional correlation model to nine asian daily stock return data series from 1990 to 2003 the empirical evidence confirms a contagion effect by analyzing the correlation coefficient series we identify two phases of the asian crisis the first shows an increase in correlation contagion the second shows a continued high correlation herding statistical analysis of the correlation coefficients also finds a shift in variance during the crisis period casting doubt on the benefit of international portfolio diversification evidence shows that international sovereign credit rating agencies play a significant role in shaping the structure of dynamic correlations in the asian markets

the labor demand was downward sloping disentangling migrants inflows and outflows 1929 1957 this paper studies in and out migration from the u s during the first half of the twentieth century and assesses how these flows affected state level labor markets it shows that out migration positively impacted the earnings growth of remaining workers while in migration had a negative impact hence immigrant arrivals were substitutes of the existing workforce while out migration reduced the competitive pressure on labor markets

native internal migration and the labor market impact of immigration this paper presents a theoretical and empirical study of how immigration influences the joint determination of the wage structure and internal migration behavior for native born workers in local labor markets using data from the 1960 2000 decennial censuses the study shows that immigration is associated with lower in migration rates higher out migration rates and a decline in the growth rate of the native workforce the native migration response attenuates the measured impact of immigration on wages in a local labor market by 40 to 60 per cent depending on whether the labor market is defined at the state or metropolitan area level

asymmetric predictability of conditional variances we show that there is an asymmetry in the predictability of the volatilities of large versus small firms using both univariate and multivariate arma garch m parameterizations we find that volatility surprises to large market value firms are important to the future dynamics of their own returns as well as the returns of smaller firms conversely however shocks to smaller firms have no impact on the behavior of either the mean or the variance of the returns of larger capitalization companies article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

identifying the global transmission of the 2007 2009 financial crisis in a gvar model abstract the paper analyses and compares the role that the tightening in liquidity conditions and the collapse in risk appetite played for the global transmission of the financial crisis dealing with identification and the large dimensionality of the empirical exercise with a global var approach the findings highlight the diversity of the transmission process while liquidity shocks have had a more severe impact on advanced economies it was mainly the decline in risk appetite that affected emerging market economies the tightening of financial conditions was a key transmission channel for advanced economies whereas for emerging markets it was mainly the real side of the economy that suffered moreover there are some striking differences also within types of economies with europe being more adversely affected by the fall in risk appetite than other advanced economies

a conditional variance model for daily deviations of an exchange rate a model for the distribution of daily deviations of an exchange rate is suggested the distribution is gaussian with a variance that depends on previous deviations the model is applied to the exchange rate of the u s dollar to special drawing rights

equity market neutral hedge funds and the stock market an application of score driven copula models in this article we study the time varying market neutrality of equity market neutral hedge funds we use data from the hedge fund research equity market neutral index hfrx eh which represents

arch models properties estimation and testing abstract the aim of this survey paper is to provide an account of some of the important developments in the autoregressive conditional heteroskedasticity arch model since its inception in a seminal paper by engle 1982 this model takes account of many observed properties of asset prices and therefore various interpretations can be attributed to it we start with the basic arch models and discuss their different interpretations arch models have been generalized in different directions to accommodate more and more features of the real world we provide a comprehensive treatment of many of the extensions of the original arch model next we discuss estimation and testing for arch models and note that these models lead to some interesting and unique problems there have been numerous applications and we mention some of these as we present different models the paper includes a glossary of the acronyms for the models we describe

enhancing nutrition a new tool for ex ante comparison of commodity based vouchers and food transfers summary this article presents a new analytical tool for ex ante comparison of the cost effectiveness of two transfer modalities in pursuing specific nutritional objectives it does so by introducing a metric to score the nutrient value of a food basket the nutrient value score nvs and explains how this metric can be combined with full supply chain analysis and costing to generate a new tool the omega value the use of the omega value allows policy makers who design a program with nutrition objectives to compare direct food transfers and commodity based food vouchers in terms of both cost efficiency and cost effectiveness 2013 elsevier ltd all rights reserved

volatility equicorrelation a cross market perspective this paper contains the first empirical application of the dynamic equicorrelation deco model to a cross market dataset composed of equities bonds foreign exchange rates and commodities during 1983 2013 the originality of our approach consists of examining the volatility equicorrelations by updating the concept of volatility surprise we document that the average volatility equicorrelation across markets is around 15 while being time varying with regime shifts before after september 2005 and with a low mean reversion level

dynamic risk spillovers between gold oil prices and conventional sustainability and islamic equity aggregates and sectors with portfolio implications this paper investigates the time varying equicorrelations and risk spillovers between crude oil gold and the dow jones conventional sustainability and islamic stock index aggregates and 10 associated disaggregated islamic sector stock indexes basic materials consumer services consumer goods energy financials health care technology industrials telecommunications and utilities using the multivariate deco fiaparch model and the spillover index of diebold and yilmaz 2012 we also conduct a risk management analysis at the sector level for commodity islamic stock sector index portfolios using different risk exposure measures for comparison purposes we add the aggregate conventional dow jones global index and the dow jones sustainability world index the results show evidence of time varying risk spillovers between these markets moreover there are increases in the correlations among the markets in the aftermath of the 2008 2009 gfc further the oil gold energy financial technology and telecommunications sectors are net receivers of risk spillovers while the sustainability and conventional aggregate djim indexes as well as the remaining islamic stock sectors are net contributors of risk spillovers finally we provide evidence that gold offers better portfolio diversification benefits and downside risk reductions than oil

recipients satisfaction with locally procured food aid rations comparative evidence from a three country matched survey summary using survey data from natural experiments in three countries that simultaneously received food aid sourced locally and from the united states we test the hypothesis that locally sourced commodities are more culturally appropriate and thus preferred over traditional food aid commodities sourced from the donor country we use a semi nonparametric regression method to estimate recipients satisfaction with these commodities across a range of criteria we establish that recipients of locally procured rations are generally more satisfied with the commodities they receive than are recipients of us sourced foods this pattern is especially pronounced among less well off recipients

creditgrades and the itraxx cds index market in the study reported the creditgrades model was used to calculate credit default swap spreads and the spreads were compared with empirically observed cds spreads for eight itraxx indices covering europe theoretical and empirical spread changes were found to be significantly correlated also lagged theoretical spread changes were correlated with current itraxx spread changes the correlations indicate a close relationship between the stock market and the cds market and also indicate some predictive ability of the creditgrades model simple trading strategies based on the autocorrelation and predictive ability of the model produced positive profits before trading costs when trading was within the bid ask spread

no place to hide the global crisis in equity markets in 2008 2009 this paper provides a broad analysis of the effect of the current financial crisis on global equity markets and their major components we also examine the magnitude of the crisis in terms of value destruction in comparison to other market crashes in brief upon looking at return performance across an array of regions countries and sectors broad market averages are down approximately 40 on their end of 2006 levels while deterioration started in most markets in early to mid 2008 the crisis period of mid september to the end of october 2008 is responsible for the lion s share of the collapse with just about all indices falling 30 40 in this short period financial sectors have taken a bigger hit than non financials over the period though they both suffered similarly during the peak of the crisis due to larger rises in 2007 the emerging markets drop more in 2008 than developed markets but in large part end up at the same level as the other markets the global nature of the crisis is also apparent from the high correlations between markets and investment styles that further increased during the crisis as a result diversification provided little help to investors when needed most as markets dropped in tandem

dynamic correlation and equicorrelation analysis of global financial turmoil evidence from emerging east asian stock markets abstractthis study investigates the dynamic conditional correlations dccs between eight emerging east asian stock markets and the us stock market and analyses the dynamic equicorrelation among these nine stock markets we find a significant increase in the conditional correlations and equicorrelation in the first phase of the global financial crisis we refer to this finding as contagion from the us stock market to the emerging east asian markets we also find an additional significant process of increasing correlations and equicorrelation herding in the second phase of the global financial crisis further we employ two new models namely dccx mgarch a dcc multivariate garch model with exogenous variables and decox mgarch a dynamic equicorrelation multivariate garch model with exogenous variables to identify the channels of contagion we find that an increase in the vix index increases the conditional correlations and equicorrelation while increases in ted spreads decrease the conditional corre

volatility persistence in crude oil markets financial market participants and policy makers can benefit from a better understanding of how shocks can affect volatility over time this study assesses the impact of structural changes and outliers on volatility persistence of three crude oil markets brent west texas intermediate wti and organization of petroleum exporting countries opec between january 2 1985 and june 17 2011 we identify outliers using a new semi parametric test based on conditional heteroscedasticity models these large shocks can be associated with particular event patterns such as the invasion of kuwait by iraq the operation desert storm the operation desert fox and the global financial crisis as well as opec announcements on production reduction or us announcements on crude inventories we show that outliers can bias i the estimates of the parameters of the equation governing volatility dynamics ii the regularity and non negativity conditions of garch type models garch igarch figarch and hygarch and iii the detection of structural breaks in volatility and thus the estimation of the persistence of the volatility therefore taking into account the outliers on the volatility modelling process may improve the understanding of volatility in crude oil markets

transmission of the u s subprime crisis to emerging markets evidence on the decoupling recoupling hypothesis abstract we find that emerging markets appeared to be somewhat insulated from developments in u s financial markets from early 2007 to summer 2008 from that point on however emerging markets responded very strongly to the deteriorating situation in the u s financial system and real economy our regression event study focusing on 15 types of news indicates that a range of financial and real economic news emanating from the us had statistically and economically large impacts on 14 emerging markets and several news events uniformly moved markets policy measures taken in emerging markets to insulate themselves from global financial developments proved inadequate in the face of the credit crunch and decline in international trade that followed the lehman bankruptcy in september 2008

a revisit to the dependence structure between the stock and foreign exchange markets a dependence switching copula approach abstract this paper develops a dependence switching copula model to examine dependence and tail dependence for four different market statuses namely rising stocks appreciating currency falling stocks depreciating currency rising stocks depreciating currency and falling stocks appreciating currency the model is then applied to daily stock returns and exchange rate changes for six major industrial countries over the 1990 2010 period the dependence and tail dependence among the above four market statuses are asymmetric for most countries in the negative correlation regime but symmetric in the positive correlation regime these results enrich the findings in the existing literature and suggest that analyzing cross market linkages within a time invariant copula framework may not be appropriate

long term asset tail risks in developed and emerging markets a power law typically governs the tail decay of financial returns but the constancy of the so called tail index which dictates the tail decay remains relatively unexplored we study the finite sample properties of some recently proposed endogenous tests for structural change in the tail index given that the finite sample critical values strongly depend on the tail parameters of the return distribution we propose a bootstrap based version of the structural change test our empirical application spans developed and emerging financial asset returns somewhat surprisingly emerging stock market tails are not more inclined to structural change than their developed counterparts emerging currency tails on the contrary do exhibit structural shifts in contrast to developed currencies our results suggest that extreme value theory evt applications in hedging tail risks can assume stationary tail behavior over long time spans provided one considers portfolios that solely consist of stocks or bonds

the effect of internal migration on local labor markets american cities during the great depression the great depression offers a unique laboratory to investigate the causal impact of migration on local labor markets we use variation in the generosity of new deal programs and extreme weather events to instrument for migrant flows to and from u s cities in migration had little effect on the hourly earnings of existing residents instead in migration prompted some residents to move away and others to lose weeks of work or access to relief jobs for every 10 arrivals we estimate that 1 9 residents moved out 2 1 were prevented from finding a relief job and 1 9 shifted from full time to part time work

modelling the conditional volatility of commodity index futures as a regime switching process commodity index futures offer a versatile tool for gaining different forms of exposure to commodity markets volatility is a critical input in many of these applications this paper examines issues in modelling the conditional variance of futures returns based on the goldman sachs commodity index gsci given that commodity markets tend to be choppy webb 1987 a general econometric model is proposed that allows for abrupt changes or regime shifts in volatility transition probabilities which vary explicitly with observable fundamentals such as the basis garch dynamics seasonal variations and conditional leptokurtosis the model is applied to daily futures returns on the gsci over 1992 1997 the results show clear evidence of regime shifts in conditional mean and volatility once regime shifts are accounted for garch effects are minimal consistent with the theory of storage returns are more likely to switch to the high variance state when the basis is negative than when the basis is positive the regime switching model also performs well in forecasting the daily volatility compared to standard garch models without regime switches the model should be of interest to sophisticated traders who base their trading strategies on short term volatility movements managed commodity funds interested in hedging an underlying diversified portfolio of commodities and investors of options and other derivatives tied to gsci futures contracts copyright 2001 john wiley sons ltd

what drives program choice in food security crises examining the response analysis question over the past decade the analysis of food security crises has improved and a wider range of responses is available but the question remains is improved analysis driving program response choices in food security interventions this research considers the response analysis question in the horn of africa and documents the role of evidence and other factors influencing program choice based on interviews with donor agency and government staff this paper briefly notes existing tools proposes a road map for response analysis explores the way in which donor resources have changed and outlines major factors that constrain or shape response choice

economic linkages across commodity futures hedging and trading implications we investigate cross market trading dynamics in futures contracts written on seemingly unrelated commodities that are consumed by a common industry on the tokyo commodity exchange we find such evidence in natural rubber nr palladium pa and gasoline ga futures markets the automobile industry is responsible for more than 50 of global demand for each of these commodities var estimation reveals short run cross market interaction between nr and ga and from nr to pa cross market influence exerted by pa is felt in longer dynamics with pa volatility volume affecting nr ga volume volatility our findings are robust to lag specification volatility measure and consistent with full bekk garch estimation results further analysis which benchmarks against silver futures market tocom index and topix transportation index confirms that our results are driven by a common industry exposure and not a commodity market factor a simple trading rule that incorporates short run ga and long run pa dynamics to predict nr return yields positive economic profit our study offers new insights into how commodity and equity markets relate at an industry level and implications for multi commodity hedging

bridging the gap between the distribution of realized ecu volatility and arch modelling of the euro the garch nig model summary this paper bridges the gap between traditional arch modelling and recent advances on realized volatilities based on a ten year sample of five minute returns for the ecu basket currencies versus the us dollar we find that the realized volatilities constructed from the summation of the high frequency intraday squared returns conditional on the lagged squared daily returns are approximately inverse gaussian ig distributed while the distribution of the daily returns standardized by their realized volatilities is approximately normal moreover the implied daily garch model with normal inverse gaussian nig errors estimated for the ecu returns results in very accurate out of sample predictions for the three years of actual daily euro us dollar exchange rates copyright 2002 john wiley sons ltd

market timing with option implied distributions a forward looking approach we address the empirical implementation of the static asset allocation problem by developing a forward looking approach that uses information from market option prices to this end we extract constant maturity s p 500 implied distributions and transform them to the corresponding risk adjusted ones then we form optimal portfolios consisting of a risky and a risk free asset and evaluate their out of sample performance we find that the use of risk adjusted implied distributions times the market and makes the investor better off than if she uses historical returns distributions to calculate her optimal strategy the results hold under a number of evaluation metrics and utility functions and carry through even when transaction costs are taken into account not surprisingly the reported market timing ability deteriorated during the recent subprime crisis an extension of the approach to a dynamic asset allocation setting is also presented this paper was accepted by wei xiong finance