central bank intervention and risk in the forward market abstract a two country inter temporal asset pricing model is developed which implies that central bank foreign exchange intervention affects the forward exchange risk premium the model is estimated from daily foreign exchange intervention data for the us german and japanese central banks considerable empirical support is found for the theoretical model with intervention influencing the risk premium in the forward market purchases of dollars by the federal reserve bank are found to be associated with excess denominated returns there is evidence that intervention has increased rather than reduced exchange rate volatility

short run exchange rate uncertainty in latin america this paper to obtain an ex ante measure of exchange rate uncertainty in 11 latin american countries as a preliminary issue the purchasing power parity ppp condition is tested using engle and granger two step procedure and johansen method the argument is that exchange rate uncertainty could be lower if ppp holds in the long run the expected exchange rate uncertainty is estimated according to an extended version of the autoregressive conditionally heteroscedastic arch model the results show that the arch adjusment produces more efficient estimates in seven countries and that the acceptance of ppp has little effect on exchange rate uncertainty

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

methodical madness technical analysis and the irrationality of exchange rate forecasts substantial empirical research documents that exchange rate forecasts are not formed rationally this paper identifies a common technical trading signal the head and shoulders pattern as a potential source of departures from rationality in exchange rate forecasts forecasts based on this pattern are evaluated for daily dollar exchange rates over 1973 to 1994 using two criteria for rationality profitability and efficiency resulting profits replicable in real time are tested for statistical significance using a bootstrap technique we find that the rule is profitable but not efficient since it is dominated by simpler trading rules

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

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

assessing the impact of the exchange rate and its volatility on canadian pork and live swine exports to the united states and japan a model of a representative canadian pork exporter is developed to examine the impacts of the exchange rate and its volatility on pork and live swine exports the pork export supply equation is expressed as a function of the expected level of real exchange rate and a time varying variance of real exchange rate an ar p model is used to represent the expected real exchange rate and a garch p q model is used to generate the time varying variance the same model is used to examine the sensitivity of pork exports to japan from canada the united states and denmark the parameters of all pork and live swine export equations have theoretically consistent signs and many are significant that is the domestic price in the exporting country has a negative effect on exports because it is a major input price in the exporter s cost function while the price in the market of destination has a positive effect the level of the exchange rate has a positive impact on pork exports while the volatility of the exchange rate has a negative impact most of the volatility parameters are not significant

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

rolling sampled parameters of arch and levy stable models in this paper an asymmetric autoregressive conditional heteroskedasticity arch model and a levy stable distribution are applied to some well known financial indices dax30 ftse20 ftse100 and sp500 using a rolling sample of constant size in order to investigate whether the values of the estimated parameters of the models change over time although there are changes in the estimated parameters reflecting that structural properties and trading behaviour alter over time the arch model adequately forecasts the one day ahead volatility a simulation study is run to investigate whether the time variant attitude holds in the case of a generated arch data process revealing that even in that case the rolling sampled parameters are time varying

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

common persistence in conditional variances since the introduction of the autoregressive conditional heteroskedastic arch model in engle 1982 numerous applications of this modeling strategy have already appeared a common finding in many of these studies with high frequency financial or monetary data concerns the presence of an approximate unit root in the autoregressive polynomial in the univariate time series representation for the conditional second order moments of the process as in the so called integrated generalized arch igarch class of models proposed in engle and bollerslev 1986 in the igarch models shocks to the conditional variance are persistent in the sense that they remain important for forecasts of all horizons this idea is readily extended to a multivariate framework even though many time series may exhibit persistence in variance it is likely that several different variables share the same common long run component in that situation the variables are naturally defined to be co persistent in variance and the co persistent linear combination is interpretable as a long run relationship conditions for co persistence to occur in the multivariate linear garch model are presented these conditions parallel the conditions for linear co integration in the mean as developed by engle and granger 1987 the presence of co persistence has important implications for asset pricing relationships and in optimal portfolio allocation decisions an empirical example relating to the time series properties of nominal u s dollar exchange rates for the deutschemark and the british pound provides a simple illustration of the ideas

modelling the link between commodity prices and exchange rates the tale of daily data this paper examines daily data on exchange rates and the prices of three commodities traded on the winnipeg commodity exchange the temporal patterns of commodity prices and exchange rates are shown to be similar daily data are significantly non normal with garch models capturing the processes generating the data commodity prices and exchange rates are examined for cointegration using recent tests proposed by johansen and juselius 1990 currency depreciation is shown to granger cause commodity price inflation this information might be useful to central bankers concerned with reducing general price inflation through targeting commodity price inflation it also suggests that macro events have important effects on commodity markets in canada

interest rate volatility and the term structure a two factor general equilibrium model we develop a two factor general equilibrium model of the term structure the factors are the short term interest rate and the volatility of the short term interest rate we derive closed form expressions for discount bonds and study the properties of the term structure implied by the model the dependence of yields on volatility allows the model to capture many observed properties of the term structure we also derive closed form expressions for discount bond options we use hansen s generalized method of moments framework to test the cross sectional restrictions imposed by the model the tests support the two factor model there are essentially two approaches to the modeling of the term structure of interest rates in continuous time the equilibrium approach pioneered by

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

bivariate garch estimation of the optimal commodity futures hedge six different commodities are examined using daily data over two futures contract periods cash and futures prices for all six commodities are found to be well described as martingales with near integrated garch innovations bivariate garch models of cash and futures prices are estimated for the same six commodities the optimal hedge ratio ohr is then calculated as a ratio of the conditional covariance between cash and futures to the conditional variance of futures the estimated ohrs reveal that the standard assumption of a time invariant ohr is inappropriate for each commodity the estimated ohr path appears non stationary which has important implications for hedging strategies

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

estimating endogenous switching regression model with a flexible parametric distribution function application to korean housing demand this study introduces johnson s su normal distribution which can accommodate the flexibility of true error distribution to obtain consistent estimates in an endogenous switching regression model simulation results indicate that the su normal model outperforms the normal model for the consistency of estimators when the error distribution is nonnormal korean housing demand model estimated by the su normal model also outperforms the normal model in terms of parameter estimates and graphical predictions

breaks and outliers when modelling the volatility of the u s stock market this study analyses volatility persistence of the u s stock market after taking into account the role of breaks and outliers by employing a wavelet based algorithm it identifies several outliers which are comfortably associated with major events such as the black monday and the asian crisis there is also evidence of clustering of breaks and a substantial variation in the properties of the identified segments

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

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

a new pearson type qmle for conditionally heteroscedastic models this article proposes a novel pearson type quasi maximum likelihood estimator qmle of garch p q models unlike the existing gaussian qmle laplacian qmle generalized non gaussian qmle or lad estimator our pearsonian qmle pqmle captures not just the heavy tailed but also the skewed innovations under strict stationarity and some weak moment conditions the strong consistency and asymptotic normality of the pqmle are obtained with no further efforts the pqmle can be applied to other conditionally heteroscedastic models a simulation study is carried out to assess the performance of the pqmle two applications to four major stock indexes and two exchange rates further highlight the importance of our new method heavy tailed and skewed innovations are often observed together in practice and the pqmle now gives us a systematic way to capture these two coexisting features

conditional var estimation using pearson s type iv distribution abstract this paper presents a new value at risk var estimation model for equity returns time series and tests it extensively on stock indices of 14 countries two most important stylized facts of such series are volatility clustering and non normality as a result of fat tails of the return distribution while volatility clustering has been extensively studied using the garch model and its various extensions the phenomenon of non normality has not been comprehensively explored at least in the context of var estimation a combination of extreme value theory evt and garch has been explored to analyze financial data showing non normal behavior this paper proposes a combination of the pearson s type iv distribution and the garch 1 1 approach to furnish a new method with superior predictive abilities the approach is back tested for the entire sample as well as for a holdout sample using rolling windows

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

time varying volatility spillover between chinese fuel oil and stock index futures markets based on a dcc garch model with a semi nonparametric approach abstract this paper reveals some new evidence on the volatility spillover between fuel oil and stock index futures markets in china by considering its time variant feature time varying effect is specified by the legendre polynomials in a dcc garch model moreover the semi nonparametric snp approach accounting for marginal excess kurtosis and asymmetry is applied we find different time evolving patterns of volatility spillover across multiple periods due to the structural breaks the direction of mean volatility spillover is found to be bilateral moreover the strength of mean volatility spillover shows that the effect from stock index to fuel oil futures is much stronger than the other way around this implies that the stock index futures market plays a leading role in information processing these findings have important implications for the fuel oil stakeholders as well as risk management

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

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

the transmission from equity markets to commodity markets in crises periods abstractthis article investigates the transmission from equity markets to commodity markets during two major financial crises namely the subprime mortgage and the sovereign debt crises we perform an analysis on sub stages from 3 january 2003 to 31 october 2013 to capture the price behaviour of both equity and commodity markets two financial crises indicators vix and cds are used to represent fear of a crisis we find that correlations between commodity and equity markets are time varying and highly volatile during a financial crisis while sharing some common features commodities cannot be considered a homogeneous asset class segmentation characteristics of commodity markets disappear in times of financial crises reducing their substitutability as an investment portfolio for asset diversification purposes through our test for granger causality we find the existence of transmission during a financial crisis volatility spillover effect also plays a major role as transmission mechanisms after the

modelling s p 100 volatility the information content of stock returns abstract theoretical models that relate volatility to the quantity of information are extended to a multi asset setting and it is deduced that stock returns may or may not have incremental information when modelling index volatility depending on the sources of information that move stock prices the first empirical study that can help resolve this theoretical uncertainty is presented a detailed analysis of the daily volatility of the s p 100 index from 1984 to 1998 shows there is some incremental volatility information in the returns from the 100 shares that define the index this evidence is obtained from arch models that incorporate leverage effects dummy variables for the 1987 crash and aggregate measures of stock return volatility significant differences between estimated volatilities are found for various stock measures and sub periods

modelling conditional moments and correlation with the continuous hidden threshold skew normal distribution a key issue in modelling conditional densities of returns of financial assets is the time variation of conditional volatility the classic econometric approach models volatility of returns with the generalized autoregressive conditional heteroscedasticity garch models where the conditional mean and the conditional volatility depend only on historical prices we propose a new family of distributions in which the conditional distribution depends on a latent continuous factor with a continuum of states the distribution has an interpretation in terms of a mixture distribution with time varying mixing probabilities the distribution parameters have economic interpretations in terms of conditional volatilities and correlations of the returns with the hidden continuous state we show empirically that this distribution outperforms its main competitor the mixed normal conditional distribution in terms of capturing the stylized facts known for stock returns namely volatility clustering leverage effect skew

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

growth and convergence when technology and human capital are complements i introduction explaining the persistent productivity differences between countries has long been a focus of the theoretical and empirical growth literature while a large body of work on the conditional convergence hypothesis emphasizes the role of factor accumulation it has been suggested that an explanation of the observed phenomenon is incomplete if not accounting for cross country differentials in total factor productivity tfp 1 one aspect that has received relatively less attention is an apparent history dependence of countries productivity rankings eaton and kortum 1997 report that despite large differences in growth rates over a 40 year period the five leading economies in the world only show two reversals in relative position 2 comparing the labor productivity in seven countries to the u s level over a period of more than 30 years similarly suggests that economies often retain their relative positions with countries starting out at lower productivities also converging to lower levels figure 1 this article presents a model that can provide an explanation for persistent cross country tfp differentials we make two key assumptions first the intellectual property ip embodied in new production technologies is subject to worldwide patent protection the owner of a technology can freely choose where in the world it will be used second we assume that there is complementarity between human capital and the level of technology used in production that is the relative productivity advantage of a new technology is bigger when it is used by more skilled workers we show that under these conditions new technologies are first introduced in the most human capital rich country and subsequently passed on to countries with a less skilled labor force before they eventually become obsolete this mechanism of technology diffusion which emerges endogenously in our model is consistent with the observation that less developed countries typically get access to new technologies later 3 moreover if there is a positive feedback between the level of technology used in a country and the rate of human capital accumulation countries long term productivity levels become history dependent economies that start out with a low human capital stock initially catch up to the leading countries but never fully converge to the same level figure 1 omitted the key difference between our approach and existing models of persistent tfp differentials is that we do not impose any ex ante restrictions on the ability to transfer technologies or relocate production processes internationally in contrast parente and prescott 1994 explicitly model barriers to technology adoption howitt 2000 assumes that while researchers have access to all the technological knowledge available worldwide any technologies that are used in a country must still be developed domestically as a consequence countries that invest more in research and development r d will on average employ more recent technologies and be more productive a very general model of technological spillovers and adoption costs that captures many features of the various approaches discussed in the literature is developed in klenow and rodriguez clare 2005 4 the remainder of this article is laid out as follows section ii discusses the literature relevant to our approach with a focus on motivating our key assumptions and presenting evidence to support the diffusion mechanism implied by our model section iii introduces the general model in section iv we derive and discuss the main results a brief summary is presented in section v together with concluding remarks ii literature overview the degree speed and nature of convergence have been a focus of interest in the growth literature while traditional growth models suggest that countries should converge to a steady state that is dictated by their structural properties a result known as the conditional convergence hypothesis it is understood that a large number of plausible deviations from the standard neoclassical assumptions generate growth models in which outcomes are history dependent

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

stock market volatility and the crash of 1987 evidence from six emerging markets abstract this paper studies volatility risk premia and the persistence of volatility in six emerging stock markets before and after the 1987 stock market crash the empirical investigation is conducted by means of the garch in the mean model garch m and monthly data from argentina greece india mexico thailand and zimbabwe between january of 1976 and august of 1994 results indicate changes in the arch parameter risk premia and persistence of volatility before and after the 1987 crash but these noted changes are not uniform and depend upon the individual markets factors other than the 1987 crash may also be responsible for the changes

examining the relationship between stock return volatility and trading volume new evidence from an emerging economy using daily stock return data for individual stocks from an emerging economy this article examines the relationship between return volatility and trading volume under the theoretical postulate of the mixture of distributions hypothesis the results suggest that the contemporaneous trading volume as a proxy for latent information arrival to the market did not contribute to the removal of significant arch or generalized autoregressive conditional heteroscedasticity effects that are found in stocks at the first stage of the investigation the same holds for the lagged volume except for one case this perhaps suggests that the trading volume contemporaneous or lagged is not adequately conveying information to induce traders views of the desirability of trade and therefore points to the need for searching for other micro and macro variables to be used as potential proxy for information arrival to the stock market of the emerging economy

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

estimation of garch process in the presence of structural change abstract this paper blends the switching regression model of goldfeld and quandt 1973 with the garch model of bollerslev 1987 in order to estimate and test for the significance of garch parameters in the presence of structural breaks the garch parameter values the switch date at which one regime supersedes another and the gradualness of each regime switch are all determined endogenously

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

the european exchange rate mechanism and the volatility of the sterling deutschemark exchange rate sterling membership of the erm focused interest on the sterling deutsche mark exchange rate with commentators predicting a reduction in exchange rate volatility this paper analyzes the sterling deutsche mark rate pre and post erm entry and finds that erm membership significantly reduced volatility this reduction in volatility is characterized by the disappearance of arch effects evident prior to erm membership the paper argues that the disappearance of arch is probably associated with a reduction in activity of speculators particularly technical analysts copyright 1993 by royal economic society

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

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

hedging effectiveness of the hedged portfolio the expected utility maximization subject to the value at risk approach multivariate volatilities and distribution play an important role in portfolio selection and can be used to calculate the value at risk var of a multiple asset financial position this study proposes a new expected utility maximization eum model that accounts for var eum model with a var constraint eum var additionally using the eum var model this study investigates the hedging effectiveness of short and long hedged portfolios constructed with multivariate generalized autoregressive conditional heteroscedasticity garch type models that feature level effects and multivariate normal and skewed distributions for stock indexes and their corresponding futures in the greater china region it is found that all else equal portfolios constructed using the multivariate skewed distribution are far more effective in hedging than those that rely on the other distributions and the effectiveness of hedged portfolios from the multivariate garch type models with level effects outperform those without level

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

volatility in an era of reduced uncertainty lessons from pax britannica abstract although it has been well established that financial volatility is related to news and macroeconomic shocks less emphasis has been placed on the importance of underlying economic and political stability in this paper we study the behavior of consol returns since 1729 and identify a greater than 50 decline in volatility from the end of the napoleonic wars in 1815 until the first world war news events and macroeconomic variables cannot account for this extended period of reduced volatility underlying political stability under pax britannica seems to be a more likely explanation

american garch employee stock option valuation abstract we implement a flexible simulation based approach for the fair value of employee stock option eso that accounts for the vesting period departure risk and voluntary suboptimal early exercise we introduce garch effects on the underlying asset and we analyze the price bias with respect to the constant volatility case we also perform a sensitivity analysis with respect to changes in several eso characteristics we compare this valuation with fas 123 method revealing a fas overvaluation finally we value a real eso plan providing the confidence intervals for the estimated eso prices

market interactions in returns and volatilities between spot and forward shipping freight markets abstract the lead lag relationship in both returns and volatilities between spot and futures markets has been investigated extensively in the financial economics literature only a limited number of such studies have appeared on forward markets primarily due to the lack of easy access to empirical data this paper uses a unique database in over the counter forward freight agreements ffa to investigate the issue the underlying commodity is non storable being that of a shipping service with the additional feature of transactions costs being higher in the spot market in comparison to the forward market these features have interesting implications for the markets at the practical level the better understanding of the mean and variance dynamics can improve risk management and budget planning decisions

forecasting the var of crude oil market do alternative distributions help abstract accurate modeling of the empirical distribution of crude oil market returns is extremely important in estimating risk measures in addition to several commonly used distributions alternative distributions are explored in this study some of which account for the asymmetry and heavy tails simultaneously found in distributions and contain more tail parameters to separately depict the right and left tails when forecasting the value at risk var of crude oil markets during highly volatile periods seven backtests are also conducted to compare the var forecasting accuracy among different distributions the empirical results indicate that a highly volatile environment challenges the commonly used distributions and the four risk models based on commonly used distributions are rejected about 27 to 38 of the time the alternative distributions i e skewed general error distributions sged generalized hyperbolic skewed student t distributions ghst and generalized asymmetric student t gast distributions generally produce more accurate var measurement and gast gives the best measurement accuracy the empirical results imply that risk managers or policymakers should further consider more flexible distributions such as sged ghst or gast in particular when quantifying or managing the risk in turbulent market times

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

are daily and weekly load and spot price dynamics in australia s national electricity market governed by episodic nonlinearity in this article we use half hourly spot electricity prices and load data for the national electricity market nem of australia for the period from december 1998 to june 2009 to test for episodic nonlinearity in the dynamics governing daily and weekly cycles in load and spot price time series data we apply the portmanteau correlation bicorrelation and tricorrelation tests introduced in hinich 1996 to the time series of half hourly spot prices and load demand from 7 12 1998 to 30 06 2009 using a fortran 95 program we find the presence of significant third and fourth order nonlinear serial dependence in the weekly load and spot price data in particular but to a much more marginal extent in the daily data

social learning in market games abstract our experiments test the effect of different information settings on firms behaviour in duopoly price and quantity games we find that when players have full information on their rivals choices the imitation rule prevails and such learning behaviour induces more competitive outcomes in the cournot market designs by the same token when information on the average industrial profit is provided there is evidence of an increase in cooperation and the majority of players experiment with new strategies when their payoff falls below the average profit palomino f vega redondo f 1999 dixon h d 2000

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

domestic or u s news what drives canadian financial markets i introduction canada as a small open economy depends to a large extent on global economic developments trade and capital flow linkages to its major trading partners as well as the foreign interest rate level are important for the canadian economy in our sample period about two thirds of total portfolio investments in canada are made by u s investors the trade share with the united states is also quite large 77 in 1998 68 in 2006 in 95 of all currency transactions involving canadian dollars these are converted into u s dollars and vice versa 1 these figures indicate that economic developments in the united states and its monetary policy mp should play an important role particularly in the development of the canadian economy and its financial markets there has even been discussion of creating a monetary union between canada and the united states or unilaterally adopting a u s dollar peg for instance buiter 1999 concludes that economic arguments favor a full formally symmetric monetary union therefore when studying canadian financial markets one needs to consider economic events occurring in the united states gravelle and moessner 2001 state that throughout the 1990s canadian market participants tended to put greater emphasis on u s macroeconomic data releases than on canadian ones thus one should expect u s macroeconomic news and mp to have a significant impact on canadian financial markets in addition it is important to study mp communication in a broad sense and not only target rate changes as market participants but also adjust to news conveyed in speeches and testimony by federal open market committee fomc members as u s financial markets react to informal channels of mp we expect canadian markets will too 2 our sample period 1998 2006 includes several formal and informal changes in canadian mp ever since september 1998 the bank of canada boc has intervened in the foreign exchange market only under exceptional circumstances in september 2000 it introduced fixed announcement dates fads previously target rate changes could effectively occur on any business day 3 with the introduction of fads the boc became more independent from the federal reserve bank fed the boc does not explicitly refer to any prior decisions by the fed in its post meeting statements after may 2000 for instance between april 2002 and september 2004 the boc target rate deviates substantially from the federal funds target rate see figure a1 in the appendix this is the first paper to study the effects of formal and informal communication by the boc as well as by the fed on canadian financial markets using a novel set of data in this paper we address four research questions 1 do u s and canadian central bank communication including target rate changes and macroeconomic news have an impact on canadian financial market returns 2 which type of news u s or canadian is more relevant 3 does the introduction of the fad system change agents sensitivity to canadian news in particular is there a stronger reaction to canadian news in the april 2002 to september 2004 subsample a period during which the course of boc mp was different from that of the fed compared to reactions in other periods this is of particular interest as the boc followed the u s interest rate path closely even after introduction of the fad system 4 does u s and canadian news exert an influence on financial market volatility the remainder of this paper is organized as follows in the next section we summarize previous work in this area and outline the contributions of this paper section iii describes the construction of the news dummies and explains our data set section iv introduces the econometric methodology section v reports our empirical results for bond market returns section vi focuses on stock and foreign exchange market returns

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

some empirical evidence on the time series properties of four uk asset prices in this paper the authors examine the time series behavior of four u k asset prices and estimate two types of models for the differenced series much previous research has found the presence of time varying heteroskedasticity in the error process for asset prices a linear model with gqarch errors is compared to a joint bilinear model with gqarch errors the latter choice motivated by the ability of bilinear models to capture turbulent behavior the adequacy of these models is determined by examining simulations and also employing test statistics the forecasting performance of the two models is also compared copyright 1996 by the london school of economics and political science