variations in trading volume return volatility and trading costs evidence on recent price formation models patterns in stock market trading volume trading costs and return volatility are examined using new york stock exchange data from 1988 intraday test results indicate that for actively traded firms trading volume adverse selection costs and return volatility are higher in the first half hour of the day this evidence is inconsistent with the admati and pfleiderer 1988 model which predicts that trading costs are low when volume and return volatility are high interday test results show that for actively traded firms trading volume is low and adverse selection costs are high on monday which is consistent with the predictions of the foster and viswanathan 1990 model academics investors and regulators alike are now intensively focused upon understanding the volatility of asset returns and its relation to trading volume this interest was undoubtedly piqued by the market break of october 1987 a time during which volatility and trading volume reached unprecedented levels but even beforehand researchers observed regular differences in the return process for various hours of the day and days of the week research concerning temporal patterns in stock market volatility and volume falls in two groups studies that document observed patterns and studies that develop models to predict patterns among the studies in the first group are oldfield and rogalski 1980 french and roll 1986 stoll and whaley 1990 harris 1986 and wood mcinish and ord 1985 who report evidence on seasonalities in daily and weekly return variances among the regularities that have been documented using interday data is that volatility is higher when the market is open than when it is closed oldfield and rogalski 1980 french and roll 1986 and stoll and whaley 1990 for example point out significant differences in return volatility between trading

trading volume and information revelation in stock markets i consider a market microstructure model in which the rates of public and private informa tion arrival are probabilistic the latter depends on the availability of private information that is stochastically changing over time in equilibrium traders estimate the availability of private information using past periods trading volume and use this information to adjust their strategies the time series properties include contemporaneous correlation between price variability and volume and autocorrelation in price variability similar to garch the model explains why trading volume contains useful information for predicting volatil ity and provides predictions on the limit and market order placement strategies of traders

structural changes in volatility and stock market development evidence for spain abstract in this paper we review the factors that lead to changes in stock market volatility and use alternative methodologies of endogenous breakpoint detection in order to analyze whether the volatility of the spanish stock market has changed significantly over the period 1941 2001 this period corresponds to years of profound development of both the financial and the productive sides of the economy in this country the analysis of the spanish stock market suggests that volatility has behaved in a different manner over the period 1941 2001 after three decades of low volatility a structural break in volatility is detected in 1972 coinciding with the opening of the spanish economy from 1972 to 2001 the years of more intense financial development the stock market presents a higher level of volatility and lower persistence this effect is partly attributable to the increased growth of trading volume brought about by the economic development process

information flow and pricing errors a unified approach to estimation and testing this study examines whether rates of information flow differ between trading and nontrading periods and whether the variances of pricing errors differ at the open and close of trading the approach improves on existing methods by allowing for correlation between pricing errors and information flow and by conducting inferences at the individual security level the daytime rate of information flow is about seven times the overnight rate and the variances of pricing errors at the open are not different from those at the close of trading this evidence differs from existing results based on return variance ratios much of the empirical market microstructure literature predicates its analysis on a model in which price changes have a permanent information related component and a transitory market friction or dealer cost component two questions that have received a great deal of attention relate to the behavior of these components the first is whether and to what extent the rate of information flow into prices differs during trading and nontrading periods this is equivalent to asking whether the variance of the permanent component per unit time is different during periods when trading occurs than when trading does not occur the second question is whether pricing errors of differing magnitudes are associated with different trading mechanisms or trading preceded by an overnight period of nontrading this corresponds to asking whether the variance of the transitory component is different depending on which trading mechanism is used or whether trading has been halted for a time more generally these questions relate to whether the permanent and transitory components of price changes are heteroskedastic although both questions share the context of this model existing studies typically focus

does crude oil price play an important role in explaining stock return behavior abstract employing the ms arji gjr garch x model in which the parameters for the jump process the asymmetric garch effect and the impacts of oil price shocks are regime dependent this paper analyzes the impact of crude oil price shock on stock return dynamics empirical results reveal three interesting findings first incorporating the asymmetric garch effect and the oil price shock can substantially improve fitting ability second the garch and jump components show very different behaviors during turbulent and stable periods third the effects of current and past oil price shocks differ the conditional mean mean of jump size and variance of jump size immediately respond to a current oil price shock a one period lagged oil price shock no matter whether positive or negative can affect the transition probability that the stock market will remain conditional in the next period moreover the effects of lagged positive and negative shocks on transition probabilities are very different

co movement of international crude oil price and indian stock market evidences from nonlinear cointegration tests this article explores nonlinear cointegration between international crude oil price and indian stock market in a multivariate framework for the period january 2 2003 to july 29 2011 by threshold cointegration tests which determine the structural breaks endogenously the tests reject any long run equilibrium relationship among the variables for the entire data span in order to get better insight threshold cointegration tests have been applied on three sub phases prior phase i and post phase iii to most volatile phase phase ii spanning from july 2 2007 to dec 29 2008 the tests suggest existence of cointegration in phase iii only toda yamamoto version of granger causality tests reveals that movements of international crude oil price have impact on indian stock market in phases ii and iii with no feedback effect the findings also suggest that global crude oil price is exogenously determined

measuring contagion between energy market and stock market during financial crisis a copula approach abstract in this paper we apply time varying copulas to investigate whether a contagion effect existed between energy and stock markets during the recent financial crisis using the wti oil spot price the s p500 index the shanghai stock market composite index and the shenzhen stock market component index returns evidence was found for a significantly increasing dependence between crude oil and stock markets after the failure of lehman brothers thus supporting the existence of contagion in the sense of forbes and rigobon s 2002 definition moreover increased tail dependence and symmetry characterize all the paired markets this indicates that significant increases in tail dependence are an actual dimension of the contagion phenomenon and that crude oil and stock prices are linked to the same degree regardless of whether markets are booming or crashing during the sample period finally the contagion effect is found to be much weaker for china than the us the empirical results have potentially important implications for risk management

do structural oil market shocks affect stock prices abstract this paper investigates how explicit structural shocks that characterize the endogenous character of oil price changes affect stock market returns in a sample of eight countries australia canada france germany italy japan the united kingdom and the united states for each country the analysis proceeds in two steps first modifying the procedure of kilian kilian l forthcoming not all oil price shocks are alike disentangling demand and supply shocks in the crude oil market american economic review we employ a vector error correction or vector autoregressive model to decompose oil price changes into three components oil supply shocks global aggregate demand shocks and global oil demand shocks the last component relates to specific idiosyncratic features of the oil market such as changes in the precautionary demand concerning the uncertainty about the availability of future oil supplies second recovering the oil supply shocks global aggregate demand shocks and global oil demand shocks from the first analysis we then employ a vector autoregressive model to determine the effects of these structural shocks on the stock market returns in our sample of eight countries we find that international stock market returns do not respond in a large way to oil market shocks that is the significant effects that exist prove small in magnitude

does oil move equity prices a global view many studies indicate that oil price shocks have an adverse effect on real output and hence an adverse effect on corporate profits where oil is used as a key input the present study examines whether and to what extent the adverse effect of oil price shocks impacts stock market returns to this end we analyse 35 datastream global industry indices for the period from april 1983 to september 2005 our findings indicate that oil price rises have a negative impact on equity returns for all sectors except mining and oil and gas industries generally these results are consistent with economic theory and evidence provided by previous empirical studies little evidence of any asymmetry is detected in the oil price sensitivities in light of our findings we recommend that international portfolio investors consider hedging oil price risk

dealing with envy abstract this paper argues that if envy matters then it should enter directly into the utility functions the pareto sets based on the envious utilities are natural candidates for the socially optimal allocations three forms of envious utility functions are considered and their pareto sets compared to the usual definition of the fair set where the notion of non envy is imposed on non envious utilities it is shown that very rarely will the fair set coincide with any envious pareto set and for certain types of envious utilities no outcome in the fair set is pareto optimal

oil prices inflation and interest rates in a structural cointegrated var model for the g 7 countries sharp increases in the price of oil are generally seen as a major contributor to business cycle asymmetries moreover the very recent highs registered in the world oil market are causing concern about possible slowdowns in the economic performance of the most developed countries in this paper a structural cointegrated var model has been considered for the g 7 countries in order to study the direct effects of oil price shocks on output and prices and the reaction of monetary variables to external shocks our results can be summarized as follows i a stationary money demand as suggested by the classic theory of money can be identified for most countries ii according to the estimated coefficients of the structural part of the model for all countries except japan and u k the null hypothesis of an influence of oil prices on the inflation rate cannot be rejected inflation rate shocks are transmitted to the real economy by increasing interest rates iii impulse response analysis suggests for most countries the existence of an instantaneous temporary effect of oil price innovations on prices iv impulse response functions indicate different monetary policy reactions to inflationary and growth shocks v the simulation exercises directed to estimate the total impact of the 1990 oil price shock indicate that for some countries u s a significant part of the effects of the oil price shock is due to the monetary policy reaction function for other countries canada france and italy however the total impact is offset at least in part by an easing of monetary conditions

on the impact of fundamentals liquidity and coordination on market stability complex interactions between fundamentals and liquidity during unstable periods in financial markets are succinctly modeled with co ordination games we propose a flexible framework to estimate such a model and use the efficient method of moments as estimation proce dure we illustrate the model by using exchange rates from the yen dollar carry trade induced uncertainty in 1998 interest rate spreads and global market volatility the model fits the data well with ev idence of low information disparities the market is generally very deep where global volatility is more important than fundamental un certainty in the determination of liquidity there is clear evidence of asymmetry between the buy and sell sides of the market

time varying effect of oil market shocks on the stock market abstract a mixture innovation time varying parameter var model is used to examine the impact of structural oil price shocks on u s stock market return time variation is evident in both the coefficients and the variance covariance matrix the standard deviations of the demand side structural shocks reached forty year peaks during the global financial crisis and have remained high since in the real stock return equation the coefficient of global real economic activity has declined since the late 1990s and that of oil market specific demand oil shock has been lower since the early 1990s than before the structural oil shocks account for 25 7 of the long run variation in real stock returns overall with substantial change in levels and sources of contribution over time the contribution of shocks to global real economic activity to real stock return variation rose sharply to 22 in 2009 and remains 17 over 2009 2012 the contribution of oil market specific demand price shocks rose unevenly from 5 in the mid 1970s to about 15 in 2007 with a subsequent decline the contribution of oil supply shocks has trended downward from 17 to 5 over 1973 2012

some relations between volatility and serial correlations in stock market returns this article explores the relation between serial correlation and volatility for several different stock return series at daily and weekly frequencies it is found that serial correlations are changing over time and are related to stock return volatility an extension to the garch model is proposed and estimated revealing parameters consistent with other findings in this article copyright 1992 by university of chicago press

a direct test of the mixture of distributions hypothesis measuring the daily flow of information this paper proposes and conducts direct tests of the mixture of distributions model for stock prices by exploiting the model s bivariate conditional normality of price changes and trading volume these restrictions can be tested under very weak assumptions regarding the daily flow of information to the market as a technical by product important parameters governing the distribution of this unobservable information flow are estimated

oil price and financial markets multivariate dynamic frequency analysis the aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries oil importers and oil exporters to this end we propose a new empirical methodology allowing a time varying dynamic correlation measure between the stock market index and the oil price series we use the frequency approach proposed by priestley and tong 1973 that is the evolutionary co spectral analysis this method allows us to distinguish between short run and medium run dependence in order to complete our study by analysing long run dependence we use the cointegration procedure developed by engle and granger 1987 we find that interdependence between the oil price and the stock market is stronger in exporters markets than in the importers ones

time varying rare disaster risks oil returns and volatility abstract this paper provides a novel perspective to the predictive ability of rare disaster risks for west texas intermediate wti oil market returns and volatility using a nonparametric quantile based methodology over the monthly period of 1918 01 2013 12 we show that a nonlinear relationship and structural breaks exists between oil returns and various rare disaster risks hence linear granger causality tests are misspecified and the linear model results of non predictability are unreliable however the quantile causality test shows that rare disaster risks strongly affect both wti returns and volatility with stronger evidence of predictability observed at lower quantiles of the respective conditional distributions our results are robust to alternative specification of volatility based on a garch model and measure of rare disaster risks based on the number of crises

the directional volatility connectedness between crude oil and equity markets new evidence from implied volatility indexes in this paper we use a set of newly introduced implied volatility indexes to investigate the directional connectedness between oil and equities in eleven major stock exchanges around the globe from 2008 to 2015 the inference on the oil equity implied volatility relationships depends on diebold and yilmaz 2012 2014 2015 who proposed a set of directional measures that enable the dynamic and directional characterization of the relationships among financial variables we find uniform results across the sample countries indicating that the connectedness between oil and equity is established by the bi directional information spillovers between the two markets however we find that the bulk of association is largely dominated by the transmissions from the oil market to equity markets and not the other way around the pattern of transmissions is varying over the sample period however most of the linkages between oil and equities are established from the mid of 2009 to the mid of 2012 which is a period that witnessed the start of global recovery

endogenous trading volume and momentum in stock return volatility this article examines the ability of volume data to shed light on the source of persistence in stock return volatility a mixture model in which a latent common factor restricts the joint density of volume and returns is used to relax the assumption of exogenous volume used in previous studies we use a point in time signal extraction procedure to identify this latent process and a calibrated simulation to conduct analysis of the viability of the model to explain important properties of the data using daily returns and volume on individual stocks our procedure cannot accommodate serial dependence in squared returns

the threshold effect in expected volatility a model based on asymmetric information this article develops theoretical insight into the threshold effect in expected volatility which means that large shocks are less persistent in volatility than small shocks the model uses the kyle admati pfleiderer setup with liquidity traders informed traders and a market maker information is modeled as a garch process it is shown that the garch process for information is transformed into a tarch process for threshold garch for the market price changes working with information flows allows one to derive implications for trading volume and market liquidity which provide the basis for a more complete test of the model article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

volatility regimes asymmetric basis effects and forecasting performance an empirical investigation of the wti crude oil futures market abstract this study employs a flexible regime switching egarch model with student t distributed error terms to investigate whether volatility regimes and basis affect the behavior of crude oil futures returns including the conditional mean variance skewness kurtosis as well as the extent of heavy tailedness the study also examines whether volatility regimes and asymmetric basis effects can improve the forecasting accuracy the main merit of the empirical model is that the basis effect is allowed to be asymmetric and to vary across volatility regimes empirical results suggest that the conditional mean and variance respond to the basis asymmetrically and nonlinearly and that the responses of transition probabilities to the basis are symmetric furthermore the conditional higher moments are sensitive to the absolute value of basis and the heavy tailed characteristic can be greatly alleviated by taking into account the asymmetric basis effects and regime switches finally the regime switches and asymmetric basis effects play decisive roles in forecasting return volatility and tail distribution

a structural model of us aggregate job flows this paper contributes to the analysis of jobs flows dynamics through the explicit modelling of job creations and job destructions we propose a simple matching model extended for endogenous separation and tractable heterogeneity the parameters of the model are estimated using a simulation based estimation method we then test the ability of trade externalities generated by the matching process to i propagate reallocation and aggregate disturbances in the whole labor market and ii generate the observed distribution of aggregate job flows the results clearly indicate that the model is able to match the dynamics of us aggregate job flows copyright 2002 john wiley sons ltd

asymmetric impacts of oil price uncertainty on chinese stock returns under different market conditions evidence from oil volatility index abstract the crude oil volatility index ovx is a direct and more accurate measure of oil price uncertainty this paper uses this kind of implied volatility index of oil prices to investigate the impacts of oil price uncertainty on the aggregate and sectoral stock returns in china this issue is resolved by using a quantile regression which can provide a more detailed examination under different market conditions meanwhile the asymmetric effects of uncertainty shocks are also examined by using the positive and negative changes of the ovx furthermore we assess whether the reform of march 27 2013 affected the ovx stock nexus since this reform was a major step to relax the control of domestic oil prices in china our results reveal that ovx changes mainly show significantly negative effects on the aggregate and sectoral stock returns in the bearish market in particular these effects depend largely on the positive shocks of the ovx rather than the negative shocks of the ovx moreover the reform of march 27 2013 decreased the impacts of the positive ovx shocks on chinese stock returns

on measuring synchronization of bulls and bears the case of east asia abstract this paper implements estimation and testing procedures for comovements of stock market cycles or phases in asia we extend the harding and pagan harding d pagan a p 2006 synchronization of cycles journal of econometrics 132 1 59 79 test for strong multivariate nonsynchronization smns between business cycles to a test that allows for an imperfect degree of multivariate synchronization between stock market cycles moreover we propose a test for endogenously determining structural change in the bivariate and multivariate synchronization indices upon applying the technique to five asian stock markets we find a significant increase in the cross country comovements of asian bullish and bearish periods in 1997 a power study of the stability test suggests that the detected increase in comovement is more of a sudden nature i e contagion or asian flu instead of gradual i e financial integration it is furthermore argued that stock market cycles and their propensity toward increased synchronization contain useful information for both investors policy makers and financial regulators

relationship between the oil price volatility and sectoral stock markets in oil exporting economies evidence from wavelet nonlinear denoised based quantile and granger causality analysis abstract this paper examines the extent of volatility between oil price and sectoral indices in the gulf cooperation council gcc countries by using quantile regression analysis qra for the return s series and denoised series over the period 2006 2017 four sectors are found to offer diversification opportunities during a high market i e 90th quantile all the sectors are found interdependent of oil price volatility however the bank and insurance sectors are insusceptible to oil price volatility during the 10th 25th and 75th quantiles in addition qra results for wavelet nonlinear denoising with a soft thresholding series indicate that all the sectors are interdependent of oil price volatility but that the aggregate market index transport and telecommunication sectors are insensitive to oil price volatility during the 75th and 90th quantiles this highlights the usefulness of denoising the financial returns series when applying regression tools moreover the contagion and interdependence between the oil price and stock returns sectors are estimated by frequency domain causality

the heterogeneity dependence between crude oil price changes and industry stock market returns in china evidence from a quantile regression approach this paper explores the dependence between real crude oil price changes and chinese real industry stock market returns based on the monthly data from 1994 03 to 2014 06 we address this issue using the quantile regression approach enabling a more detailed investigation of structure and degree of dependence empirical results reveal that the reaction of market returns to crude oil is highly heterogeneous across conditional distribution of industry stock returns furthermore there is evidence that this dependence is positive and exists only in recessions or bearish markets with low expected returns the dependence at low quantiles is not limited to one market but is a common feature across industries additionally dependence also changes since the onset of structural breaks we determine that chinese industry stock and global crude oil markets have contagion in rare situations most cases do not demonstrate contagion

linking the gas and oil markets with the stock market investigating the u s relationship energy markets can represent a strategic advantage when they are supporting each other and specifically when energy segments are complementary enough to support economic development and growth in this light a high and strategic interest relies on the possible interactions between energy market segments as well as their impact on a given country s financial market the proposed research focuses on the interaction between the u s natural gas and u s crude oil markets on one side and their dependencies with the u s stock market on the other side after controlling for structural changes or breaks we characterize previous dependencies with the multivariate copula methodology first we assess the joint link prevailing between the natural gas and crude oil markets then we characterize the joint risk structure prevailing between previous energy markets and the u s stock market finally we assess the joint dependence structure between the natural gas crude oil and stock markets

u s stock returns and oil prices the tale from daily data and the 2008 2009 financial crisis abstract using daily data from january 1999 to december 2011 we examine u s stock returns s p 500 dow jones nasdaq and russell 2000 based on a wide range of information including equity vix volatility inflation expectations interest rates gold prices and the usd euro exchange rate the focus is on oil price returns which have been previously found to exert mostly negative effects on u s stock returns identifying the crisis of 2008 2009 as a significant period of economic contraction and subsequent recovery we check the stability of the stock oil relationship by garch and mgarch dcc models prior to the financial crisis stock returns are slightly negatively affected by oil prices and by the usd euro for the subsample of mid 2009 onwards however stock returns are positively affected by oil prices and a weaker usd euro as with inflation expectations we interpret these findings as u s stocks responding positively to expectations of recovery worldwide our proposed explanation is due to the changing correlation between stock markets and oil either by standard garch models or by mgarch dcc models allowing the implied correlation to vary over time

informed trading before positive vs negative earnings surprises abstract this paper investigates whether institutional investors trade profitably around the announcements of positive or negative earnings surprises using korean data over the period of 2001 2010 we find that information asymmetry is larger before negative earnings surprises earnings shock among investors and that the trading volume decreases only before earnings shock announcements due to the severe information asymmetry we also find that institutions sell their stocks prior to earnings shock announcements whereas individual and foreign investors do not anticipate bad news finally we find that institutional trade imbalance is positively related to the post announcement abnormal returns of negative events this study complements and extends prior literature on informed trading around earnings announcements by documenting evidence that domestic institutions exploit their superior information around particularly earnings shock announcements

interactions between real economic and financial sides of the us economy in a regime switching environment this objective of this study is to examine the linkages between real economic and financial variables in the united states in a regime switching environment that accounts explicitly for high volatility in the stock market and high stress in financial markets since the linearity test shows that the linear model should be rejected we employ the markov switching vecm to examine the same objective using the bayesian markov chain monte carlo method the regime dependent impulse response function rdirf highlights the increasing importance of the financial sector of the economy during stress periods the responses and their fluctuations are significantly greater in the high volatility regime than in the low volatility regime

can speculative trading explain the volume volatility relation we derive a speculative trading model with endogenous informed trading that yields a conditionally heteroscedastic time series for trading volume and the squared price changes we use half hourly price change and volume data for ibm during 1988 to test the model and estimate the structural parameters using the simulated method of moments estimation procedure although the model seems to do a reasonable job fitting the unconditional moments of the volume and the squared price change processes it fares less well in fitting the relation between current trading volume and lags of trading volume and squared volume s and its lag s relation to squared price changes

stock prices and volume the authors undertake a comprehensive investigation of price and volume co movement using daily new york stock exchange data from 1928 to 1987 they adjust the data to take into account well known calendar effects and long run trends to describe the process they use a seminonparametric estimate of the joint density of current price change and volume conditional on past price changes and volume four empirical regularities are found 1 positive correlation between conditional volatility and volume 2 large price movements are followed by high volume 3 conditioning on lagged volume substantially attenuates the leverage effect and 4 after conditioning on lagged volume there is a positive risk return relation article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

recent hikes in oil equity market correlations transitory or permanent this paper empirically examines the long run behavior of eight oil equity correlations based on the adcc asymmetric dynamic conditional correlation model and a novel decomposing approach we select equity price indexes from three developed countries the us the uk and germany and five brics member countries brazil russia india china and south africa and consider ten economic financial events for investigation seven correlations exhibit a positively sloped trend and one exhibits a horizontal trend all of these trends have undergone one or two structural breaks which moved the corresponding correlations to their highest ever evolutionary paths these structural breaks are associated with one or more of the ten episodes considered and a common event impacting all eight of the correlation trends is detected to be the 2008 adverse oil shock the broken trends explain why the correlations were low in the early years and high in the recent years our findings indicate that recent hikes in the oil equity correlations are a long run phenomenon

oil price shocks and stock markets in the u s and 13 european countries abstract oil price shocks have a statistically significant impact on real stock returns contemporaneously and or within the following month in the u s and 13 european countries over 1986 1 2005 12 norway as an oil exporter shows a statistically significantly positive response of real stock returns to an oil price increase the median result from variance decomposition analysis is that oil price shocks account for a statistically significant 6 of the volatility in real stock returns for many european countries but not for the u s increased volatility of oil prices significantly depresses real stock returns the contribution of oil price shocks to variability in real stock returns in the u s and most other countries is greater than that of interest rate an increase in real oil price is associated with a significant increase in the short term interest rate in the u s and eight out of 13 european countries within one or two months counter to findings for the u s and for norway there is little evidence of asymmetric effects on real stock returns of positive and negative oil price shocks for oil importing european countries

stock market cycles financial liberalization and volatility in this paper we analyze the cycles of the stock markets in four latin american and two asian countries and we compare their characteristics we divide our sample in two subperiods in order to account for differences induced by the financial liberalization processes of the early 1990s we find that cycles in emerging countries tend to have shorter duration and larger amplitude and volatility than in developed countries however after financial liberalization latin american stock markets have behaved more similarly to stock markets in developed countries whereas asian countries have become more dissimilar concordance of cycles across markets has increased significantly over time especially for latin american countries after liberalization

the effect of public information and competition on trading volume and price volatility in a one period model of market making with many exogenously informed traders we first show that the variance of prices and expected trading volume depend on the public information released at the start of trading this is accomplished by representing beliefs with elliptically countoured distributions for which the form of optimal decision rules does not depend on the specific distribution used second if the model is altered so that the decision to become informed is made endogenous then the decision rules of the market maker and infomed traders depend on the public information third in a multiperiod model with many informed traders and long lived private information recursion formulas similar to those of kyle 1985 hold for all elliptically contoured distributions trading volume is autocorrelated and unless per period liquidity trading is bounded away from zero as new trading periods are added informed traders profits vanish article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

this is what happened to the oil price macroeconomy relationship abstract many of the quarterly oil price increases observed since 1985 are corrections to even bigger oil price decreases the previous quarter when one looks at the net increase in oil prices over the year recent data are consistent with the historical correlation between oil shocks and recessions

time varying international stock market interaction and the identification of volatility signals abstract this paper investigates the dependency of international stock market interaction on financial volatility we show in a stylized economic model that volatility dependent cross market spillovers can be interpreted in two different ways as indicating information flow or uncertainty if higher volatility in one market leads to higher lower reactions in another market volatility reflects information uncertainty we apply a simultaneous time varying coefficient model where structural arch type variances serve two purposes governing the time variation of spillovers and ensuring statistical identification we analyze data of us and further stock markets indeed we find strong nonlinear volatility dependent spillovers

crude oil and stock markets causal relationships in tails abstract this paper considers the causal relationships between wti and dubai crude oil returns and five stock index returns s p 500 nikkei hang seng shanghai and kospi within the quantile causality framework by using daily data for a period from january 1 1996 to october 12 2012 the quantile causality test is useful for a comprehensive understanding of the causal relationship between two returns the test reveals several noteworthy results first although wti returns are not closely related to asian countries some financial markets such as nikkei and hang seng granger cause wti returns second the significance of causality from one market to another derives only from lower and upper levels of quantiles except for the case of causality from nikkei to wti returns third all stock index returns granger cause dubai crude oil returns over almost all quantile levels except for shanghai returns fourth dubai crude oil returns granger cause all asian stock index returns except for s p 500 returns finally the results indicate asymmetric causality from dubai crude oil returns to shanghai returns and kospi returns to dubai crude oil returns

a markov model of heteroskedasticity risk and learning in the stock market abstract we examine a variety of models in which the variance of a portfolio s excess return depends on a state variable generated by a first order markov process a model in which the state is known to economic agents is estimated it suggests that the mean excess return moves inversely with the level of risk we then estimate a model in which agents are uncertain of the state the estimates indicate that agents are consistently surprised by high variance periods so there is a negative correlation between movements in volatility and in excess returns

the relation between price changes and trading volume a survey this paper reviews previous and current research on the relation between price changes and trading volume in financial markets and makes four contributions first two empiri cal relations are established volume is positively related to the magnitude of the price change and in equity markets to the price change per se second previous theoretical research on the price volume relation is summarized and critiqued and major insights are emphasized third a simple model ofthe price volume relation is proposed that is consis tent with several seemingly unrelated or contradictory observations and fourth several directions for future research are identified

a model of competitive stock trading volume a model of competitive stock trading is developed in which investors are heterogeneous in their information and private investment opportunities and rationally trade for both informational and noninformational motives i examine the link between the nature of heterogeneity among investors and the behavior of trading volume and its relation to price dynamics it is found that volume is positively correlated with absolute changes in prices and dividends i show that informational trading and noninformational trading lead to different dynamic relations between trading volume and stock returns

do higher oil prices push the stock market into bear territory this paper investigates whether a higher oil price pushes the stock market into bear territory by using time varying transition probability markov switching models it examines different measures of oil price shocks empirical evidence from monthly returns on the standard poor s s p 500 price index suggests that an increase in oil prices leads to a higher probability of a bear market emerging

oil and the macroeconomy when prices go up and down an extension of hamilton s results in an important paper hamilton 1983 demonstrated a strong correlation between oil price changes and gross national product growth in u s data however his study pertained to a period in which all the large oil price movements were upward and thus it left unanswered the question whether the correlation persists in periods of price decline moreover the price variable he used was somewhat distorted by price controls in the 1970s this note investigates whether hamilton s results continue to hold when the sample is extended to include the recent oil market collapse and the oil price variable is corrected for the effects of price controls particular attention is given to the possibility of asymmetric responses to oil price increases and decreases as suggested in the structural employment literature loungani 1986 davis 1987 hamilton 1988 like hamilton i based my investigation on the gnp equation in sims s 1 980b six variable quarterly vector autoregressive model

rational normative economics vs social welfare and social choice abstract the central part of the social ethics of economics based on concepts of social welfare and the corresponding part of social choice theory are mistaken approaches defining the social optimum as the maximal element of an ordering independent of the possibilities is shown to violate both common concepts of justice and rationality in the normal sense of the term anyway the social optimum need not be defined for non existing possibilities and individual preferences rationality requires that the optimum be defined by equalities of liberties in a large sense means powers rights etc a number of studies work within this paradigm liberalisms equities inequalities etc the origin of the mistake is to be traced to the political introduction of utilitarianism into english political philosophy

mean reversion of standard poor s 500 index basis changes arbitrage induced or statistical illusion mean reversion in stock index basis changes has been presumed to be driven by the trading activity of stock index arbitragers we propose here instead that the observed negative autocorrelation in basis changes is mainly a statistical illusion arising because many stocks in the index portfolio trade infrequently even without formal arbitrage reported basis changes would appear negatively autocorrelated as lagging stocks eventually trade and get updated the implications of this study go beyond index arbitrage however our analysis suggests that spurious elements may creep in whenever the price change or return series of two securities or portfolios of securities are differenced mean reversion in stock index basis changes has been amply documented mackinlay and ramaswamy 1988 find significant negative first order autocorrelation in normalized intraday basis changes of the s p 500 index futures traded on the chicago mercantile exchange cme yadav and pope 1990 find similar behavior using financial times stock exchange ftse 100 index futures data from the london international financial futures exchange liffe as does lim 1990 using nikkei 225 index futures from the singapore international monetary exchange simex the trading activity of stock index arbitragers has been presumed to be driving this elastic realignment of stock index and index futures prices when the basis widens beyond its theoretical level arbitragers simultaneously sell index futures and buy the index portfolio pulling the difference between the futures and index

the high frequency asymmetric response of stock returns to monetary policy for high oil price events abstract this paper investigates whether a high oil price event that worsens the quality of a firm s balance sheet in turn provides an additional transmission channel to the stock market which then affects stock returns we examine the asymmetric impacts of monetary shocks on stock returns across high oil price events and non high oil price events over the period from 1995 to 2008 we ask how these impacts respond to the relative ability of firms to obtain external finance our findings suggest that more energy intensive industries and durable goods industries react more significantly to monetary shocks based on high oil price events than on those based on non high oil price events by controlling for the capacity for external finance the intraday windows reveal that a monetary surprise for the high oil price events has a bigger impact on stock returns than for the non high oil price events firms with financing constraints find that the adverse impact of a surprise monetary policy action on high oil price events is amplified in the medium profitability category while the impact of a surprise monetary policy action on non high oil price events is amplified in the lowest profitability category

the dynamic relationship between stock returns and trading volume domestic and cross country evidence abstract this paper examines the dynamic relations causal relations and the sign and magnitude of dynamic effects between stock market trading volume and returns and volatility for both domestic and cross country markets by using the daily data of the three largest stock markets new york tokyo and london major findings are as follows first trading volume does not granger cause stock market returns on each of three stock markets second there exists a positive feedback relationship between trading volume and return volatility in all three markets third regarding the cross country relationships us financial market variables in particular us trading volume contains an extensive predictive power for uk and japanese financial market variables fourth sub sample analyses show evidence of stronger spillover effects after the 1987 market crash and an increased importance of trading volume as an information variable after the introduction of options in the us and japan

crude oil shocks and stock markets a panel threshold cointegration approach abstract this paper proposes a panel threshold cointegration approach to investigate the relationship between crude oil shocks and stock markets for the oecd and non oecd panel from january 1995 to december 2009 nonlinear cointegration is confirmed for the oil stock nexus in the panel because threshold cointegration is found the threshold vector error correction models can be run to investigate the presence of asymmetric dynamic adjustment the granger causality tests demonstrate the existence of bidirectional long run granger causality between crude oil shocks and stock markets for these oecd and non oecd countries however the short run granger causality between them is bidirectional under positive changes in the deviation and unidirectional under negative ones moreover the speed of adjustment toward equilibrium is faster under negative changes in the deviation than that under positive ones in these oecd and non oecd countries

insider trading stochastic liquidity and equilibrium prices we extend kyle s 1985 model of insider trading to the case where liquidity provided by noise traders follows a general stochastic process even though the level of noise trading volatility is observable in equilibrium measured price impact is stochastic if noise trading volatility is mean reverting then the equilibrium price follows a multivariate stochastic bridge process which displays stochastic volatility this is because insiders choose to optimally wait to trade more aggressively when noise trading activity is higher in equilibrium market makers anticipate this and adjust prices accordingly more private information is revealed when volatility is higher in time series insiders trade more aggressively when measured price impact is lower therefore execution costs to uninformed traders can be higher when price impact is lower

the effect of oil prices on stock prices fresh evidence from asymmetric causality tests abstractthis article investigates the causal impact of oil prices on stock prices in each g7 market as well as in the world market an asymmetric causality test developed by hatemi j is used for this purpose since the underlying data appears to be non normal with time varying volatility we use bootstrap simulations with leverage adjustments in order to produce more reliable critical values than the asymptotic ones based on symmetric causality tests we find no causal effect of oil prices on the stock prices of the world market or any of the g7 countries however when we apply an asymmetric causality test we find that increasing oil prices cause stock prices to rise in the world the u s and japan while decreasing oil prices cause stock prices to fall in germany this may imply that the world the u s and japanese stock markets consider increases in oil prices as an indicator of good news as this may mean that there is an increase in oil demand due to an expected growth in the economy while the germ

are benefits from oil stocks diversification gone new evidence from a dynamic copula and high frequency data abstract oil is perceived as a good diversification tool for stock markets to fully understand this potential we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional time varying joint distribution of the oil stocks pair accurately our realized garch with time varying copula yields statistically better forecasts of the dependence and quantiles of the distribution relative to competing models employing a recently proposed conditional diversification benefits measure that considers higher order moments and nonlinear dependence from tail events we document decreasing benefits from diversification over the past ten years the diversification benefits implied by our empirical model are moreover strongly varied over time these findings have important implications for asset allocation as the benefits of including oil in stock portfolios may not be as large as perceived

multimarket trading and market liquidity when a security trades at multiple locations simultaneously an informed trader has several avenues in which to exploit his private information the greater the proportion of liquidity trading by large traders who can split their trades across markets the larger is the correlation between volume in different markets and the smaller is the informativeness of prices we show that one of the markets emerges as the dominant location for trading in that security when informed traders can use their information for more than one trading period the timely release of price information by market makers at one location adversely affects the profits informed traders expect to make subsequently at other locations market makers competing to offer the lowest cost of trading at their location consequently deter informed trading be voluntarily making the price information public and by cracking down on insider trading article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

what can we learn about commodity and credit cycles evidence from african commodity exporting countries abstract this study analyzes the relationship between commodity prices and credit to the private sector in commodity exporting developing countries particularly three nations in sub saharan africa in this regard we extend the findings of non empirical studies dealing with this issue for the case of african countries and complement the literature on the methodological side by investigating this relationship using wavelet analysis this frequency approach is appropriate as it takes into account investor heterogeneity and the time variant characteristic of the studied relationship further it explains the lead lag relationship between the studied series first we observe that credit and commodities are strongly related over long timescales suggesting that the credit market reacts strongly to long term change in commodity markets and thus tends to be sensitive to persistent commodity shocks second for medium and short timescales the interaction is high and significant only during periods of turmoil in terms of the lead lag relationship our results also show that the commodity market causes fluctuations in the credit market

oil prices and economic activity an asymmetric cointegration approach the aim of this paper is to study the long term relationship between oil prices and economic activity proxied by gdp to account for asymmetries existing in the links between the two variables we propose an approach based on asymmetric cointegration our empirical analysis concerns the u s economy but also the g7 europe and euro area economies results indicate that while standard cointegration is rejected there is evidence for asymmetric cointegration between oil prices and gdp

the price variability volume relationship on speculative markets this paper concerns the relationship between the variability of the daily price change and the daily volume of trading on the speculative markets our work extends the theory of speculative markets in two ways first we derive from economic theory the joint probability distribution of the price change and the trading volume over any interval of time within the trading day and second we determine how this joint distribution changes as more traders enter or exit from the market the model s parameters are estimated by fiml using daily data from the 90 day t bills futures market the results of the estimation can reconcile a conflict between the price variability volume relationship for this market and the relationship obtained by previous investigators for other speculative markets this paper concerns the relationship between the variability of the daily price change and the volume of trading on speculative markets previous empirical studies 2 3 6 12 14 16 of both futures and equity markets always find a positive association between price variability as measured by the squared price change ap2 and the trading volume 2 there are two explanations for the relationship clark s 2 explanation which is secondary to his effort to explain why the probability distribution of the daily price change is leptokurtic emphasizes randomness in the number of within day transactions in clark s model the daily price change is the sum of a random number of within day price changes the variance of the daily price change is thus a random variable with a mean proportional to the mean number of daily transactions clark argues that the trading volume is related positively to the number of within day transactions and so the trading volume is related positively to the variability of the price change the second explanation is due to epps and epps 6 their model examines the mechanics of within day trading the change in the market price on each within day transaction or market clearing is the average of the changes in all of the traders reservation prices epps and epps assume there is a positive relationship between the extent to which traders disagree when they revise their reservation prices and the absolute value of the change in the market price that is an increase in the extent to which traders disagree is associated with a larger absolute price change the price variability volume relationship arises then because the volume of trading is positively related to the extent to which traders disagree when they revise their reservation prices

heteroskedasticity in stock return data volume versus garch effects this paper provides empirical support for the notion that autoregressive conditional heterqskedasticity arch in daily stock return data reflects time dependence in the process generating information flow to the market daily trading volume used as a proxy for information arrival time is shown to have significant explanatory power regarding the variance of daily returns which is an implication of the assumption that daily returns are subordinated to intraday equilibrium returns furthermore arch effects tend to disappear when volume is included in the variance equation the autoregressive conditiqnal heteroskedasticity arch process of engle 1982 has been shown to provide a good fit for many financial return time series 1 arch imposes an autoregressive structure on conditional variance allqwing volatility shocks to persist over time this persistence captures the propensity of returns of like magnitude to clu ter in time and can explain the well documented nonnormality and nonstability of empirical asset return distributions see especially fama 1965 an appealing explanation for the presence of arch is based upon the hypothesis that daily returns are generated by a maiture of distributions in which the rate of daily information arrival is the stochastic mixing variable as suggested by diebold 1986 gallant hsieh and tauchen 1988 and stock 1987 1988 arch might capture the time series properties e g serial correlation of this mixing variable hqwever this linkage has not been broadly documented with the datia the objective of this study is to examine the validity of this explanation for daily stock returns the empirical strategy exploits the implication of the mixture model that the variance of daily price increments is heteroskedastic specifically positively related to the rate of daily information arrival using daily trading volume as a proxy for the mixing variable we show that for a sample of 20 common stocks arch effects vanish when volume is included as an explanatory variable in the conditional variance equation

oil prices and stock market in china a sector analysis using panel cointegration with multiple breaks this paper investigates the relationship between oil prices and the chinese stock market at the sector level in a panel cointegration and granger causality framework the major sectors in china are studied using data collected from july 2001 to december 2010 when the effects of cross sectional dependence and multiple structural breaks are taken into account the panel cointegration relationship between oil prices and stock prices is confirmed at the disaggregated sector level the results indicate that there is some evidence of structural breaks in the interaction between oil prices and chinese sectoral stocks the long run estimates suggest that the real oil price has a positive effect on sectoral stocks in the long run the granger causality tests demonstrate a unidirectional short run granger causality relationship running from oil prices and sectoral stocks to the interest rate for 2001 07 2005 10 there is also a unidirectional long run granger causality running from sectoral stocks to the interest rate for 2001 07 2005 10 and 2005 12 2007 06 however the long run granger causality is bidirectional between oil prices the interest rate and sectoral stocks for 2007 08 2008 11 and 2009 01 2010 12 meanwhile the short run granger causality is also bidirectional between the interest rate and oil prices

public information arrival and volatility of intraday stock returns abstract this study employs firm specific announcements as a proxy for information flows and investigates the information volatility relation using high frequency data from the australian stock exchange our analysis reveals a positive and significant impact of the arrival rate of the selected news variable on the conditional variance of stock returns even after controlling for the potential effects of trading volume and high opening volatility furthermore the inclusion of the news variable in the conditional variance equation of the generalized autoregressive conditional heteroscedastic model also reduces volatility persistence especially with intraday data combined with the evidence that news arrivals display a very strong pattern of autocorrelation our results are consistent with the mixture of distribution hypothesis which attributes conditional heteroscedasticity of stock returns to time dependence in the news arrival process

oil shocks and aggregate macroeconomic behavior the role of monetary policy a recent paper by bernanke gertler and watson 1997 suggests that monetary policy could be used to eliminate any recessionary consequences of an oil price shock this paper challenges this conclusion on two grounds first we question whether the federal reserve actually has the power to implement such a policy for example we consider it unlikely that additional money creation would have succeeded in reducing the fed funds rate by 900 basis points relative to the values seen in 1974 second we point out that the size of the effect that bernanke gertler and watson attribute to oil shocks is substantially smaller than that reported by other researchers primarily due to their choice of a shorter lag length than that used by other researchers we offer evidence in favor of the longer lag length employed by previous research and show that under this specification even the aggressive federal reserve policies proposed would not have succeeded in averting a downturn