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

a nonparametric copula based test for conditional independence with applications to granger causality this article proposes a new nonparametric test for conditional independence that can directly be applied to test for granger causality based on the comparison of copula densities the test is easy to implement because it does not involve a weighting function in the test statistic and it can be applied in general settings since there is no restriction on the dimension of the time series data in fact to apply the test only a bandwidth is needed for the nonparametric copula we prove that the test statistic is asymptotically pivotal under the null hypothesis establishes local power properties and motivates the validity of the bootstrap technique that we use in finite sample settings a simulation study illustrates the size and power properties of the test we illustrate the practical relevance of our test by considering two empirical applications where we examine the granger noncausality between financial variables in a first application and contrary to the general findings in the literature we prov

a bayesian approach to modeling stock return volatility for option valuation new measures of stock return volatility are developed to increase the precision of stock option price estimates with bayesian statistical methods volatility estimates for a given stock are developed using prior information on the cross sectional patterns in return volatil ities for groups of stocks sorted on size financial leverage and trading volume call option values computed with the bayesian procedure generally improve prediction accuracy for market prices of call options relative to those computed using implied volatility standard historical volatility or even the actual ex post volatility that occurred during each option s life although the bayesian methods produce biased call price estimators they do reduce the systematic tendency of standard pricing approaches to overprice underprice options on high low volatility stocks little bias improvement is observed with respect to the time to maturity and moneyness of the call options

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

technological change and the rebound effect in the stirpat model a critical view abstract technological change is key to understand the explanatory variables behind environmental impacts in the context of the stirpat stochastic impacts by regression on population affluence and technology model an adequate representation and analysis of the significance of the technology variable t in the stirpat model becomes crucial even more if one aims to better understand underlying processes such as the environmental rebound effect e re a critical review of the application of the stirpat model has been conducted to understand the diversity and value of the variables scopes assumptions statistical approaches and the environmental impacts commonly studied the findings highlight that despite the multiple applications and the high potential of the stirpat model inconclusive results and or knowledge gaps remain notably 1 a geographical imbalance in the scope of studies 2 the almost exclusive focus on carbon emissions 3 a lack of agreement on the choice of data additional explanatory variables and regression models 4 a lack of consensus on how to approximate t and 5 a lack of explicit analyses of the e re our findings are useful to both policymakers and academics for method design further research and policy evaluation

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

price volatility trading volume and market depth evidence from futures markets the relations between volume volatility and market depth in eight physical and financial futures markets are examined evidence suggests that linking volatility to total volume does not extract all information when volume is partitioned into expected and unexpected components the paper finds that unexpected volume shocks have a larger effect on volatility further the relation is asymmetric the impact of positive unexpected volume shocks on volatility is larger than the impact of negative shocks finally consistent with theories of market depth the study shows large open interest mitigates volatility

forecasting volatility of the u s oil market abstract we examine the information content of the cboe crude oil volatility index ovx when forecasting realized volatility in the wti futures market additionally we study whether other market variables such as volume open interest daily returns bid ask spread and the slope of the futures curve contain predictive power beyond what is embedded in the implied volatility in out of sample forecasting we find that econometric models based on realized volatility can be improved by including implied volatility and other variables our results show that including implied volatility significantly improves daily and weekly volatility forecasts however including other market variables significantly improves daily weekly and monthly volatility forecasts

cost of energy and environmental policy in portuguese co2 abatement scenario analysis to 2020 abstract this paper quantifies the contribution of portuguese energy policies for total and marginal abatement costs mac for co2 emissions for 2020 the times pt optimisation model was used to derive mac curves from a set of policy scenarios including one or more of the following policies ban on nuclear power ban on new coal power plants without carbon sequestration and storage incentives to natural gas power plants and a cap on biomass use the different mac shows the policies effects in the potential for co2 abatement in 2020 in the most encompassing policy scenario with all current and planned policies is possible to abate only up to 35 of 1990 emissions at a cost below 23 t co2 in the more flexible policy scenarios it is possible to abate up to 10 of 1990 emissions below the same cost the total energy system costs are 10 13 higher if all policies are implemented 76 to 101 b roughly the equivalent to 2 01 2 65 of the 2005 gdp thus from a co2 emission mitigation perspective the existing policies introduce significant inefficiencies possibly related to other policy goals the ban on nuclear power is the instrument that has the most significant effect in mac

what determines mutual fund trading in foreign stocks abstract we examine the portfolio rebalancing measured by the equity churn rate of mutual funds from 29 countries based on annual stockholdings over the 1999 2006 period we find that funds more often trade the stocks of companies located in countries with higher degree of information asymmetry and are less familiar to fund managers after we control for the effects of stock market development and investor protection consistent with the behavioral bias fund managers more often rebalance stocks in foreign markets that perform well this bias is exacerbated when fund managers are less familiar with and less informed about those markets

an empirical evaluation of the overconfidence hypothesis abstract recently several behavioral finance models based on the overconfidence hypothesis have been proposed to explain anomalous findings including a short term continuation momentum and a long term reversal in stock returns we characterize the overconfidence hypothesis by the following four testable implications first if investors are overconfident they overreact to private information and underreact to public information second market gains make overconfident investors trade more aggressively in subsequent periods third excessive trading of overconfident investors in securities markets contributes to the observed excessive volatility fourth overconfident investors underestimate risk and trade more in riskier securities to document the presence of overconfidence in financial markets we empirically evaluate these four hypotheses using aggregate data overall we find empirical evidence in support of the four hypotheses

the stochastic volatility in mean model empirical evidence from international stock markets in this paper we present an exact maximum likelihood treatment for the estimation of a stochastic volatility in mean svm model based on monte carlo simulation methods the svm model incorporates the unobserved volatility as an explanatory variable in the mean equation the same extension is developed elsewhere for autoregressive conditional heteroscedastic arch models known as the arch in mean arch m model the estimation of arch models is relatively easy compared with that of the stochastic volatility sv model however efficient monte carlo simulation methods for sv models have been developed to overcome some of these problems the details of modifications required for estimating the volatility in mean effect are presented in this paper together with a monte carlo study to investigate the finite sample properties of the svm estimators taking these developments of estimation methods into account we regard sv and svm models as practical alternatives to their arch counterparts and therefore it is of interest to study and compare the two classes of volatility models we present an empirical study of the intertemporal relationship between stock index returns and their volatility for the united kingdom the united states and japan this phenomenon has been discussed in the financial economic literature but has proved hard to find empirically we provide evidence of a negative but weak relationship between returns and contemporaneous volatility which is indirect evidence of a positive relation between the expected components of the return and the volatility process copyright 2002 john wiley sons ltd

disagreement and learning dynamic patterns of trade we study volume dynamics when there are disagreements among investors for that purpose we develop a dynamic model in which differences in the interpretation of public information lead to trade we obtain a simple linear equilibrium in closed form in which risk averse agents take into account future trading opportunities when solving for their optimal portfolio allocation using this framework we then study what restrictions on the disagreement process are needed to generate empirically observed patterns in volume and prices we show that having infrequent but major disagreements leads to autocorrelation in volume and correlation between volume and absolute price changes when agents disagree on past news but agree on the interpretation of current news there is learning and the convergence of agents opinions leads to trade

causality in quantiles and dynamic stock return volume relations abstract this paper investigates the causal relations between stock return and volume based on quantile regressions we first define granger non causality in all quantiles and propose testing non causality by a sup wald test such a test is consistent against any deviation from non causality in distribution as opposed to the existing tests that check only non causality in certain moment this test is readily extended to test non causality in different quantile ranges in the empirical studies of three major stock market indices we find that the causal effects of volume on return are usually heterogeneous across quantiles and those of return on volume are more stable in particular the quantile causal effects of volume on return exhibit a spectrum of symmetric v shape relations so that the dispersion of return distribution increases with lagged volume this is an alternative evidence that volume has a positive effect on return volatility moreover the inclusion of the squares of lagged returns in the model may weaken the quantile causal effects of volume on return but does not affect the causality per se

information trading volume and international stock return comovements evidence from cross listed stocks we investigate the joint dynamics of returns and trading volume of 556 foreign stocks cross listed on u s markets heterogeneous agent trading models rationalize how trading volume reflects the quality of traders information signals and how it helps to disentangle whether returns are associated with portfolio rebalancing trades or information motivated trades based on these models we hypothesize that returns in the home u s market on high volume days are more likely to continue to spill over into the u s home market for those cross listed stocks subject to the risk of greater informed trading our empirical evidence provides support for these predictions which confirms the link between information trading volume and international stock return comovements that has eluded previous empirical investigations

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

liquidity credit quality and the relation between volatility and trading activity evidence from the corporate bond market this paper investigates the roles of illiquidity and credit risk in determining the relations between price volatility of a bond and its trading frequency and trade size based on a large transaction dataset from october 2004 to june 2012 we find a positive relation between volatility and trading frequency and a negative relation between volatility and trade size consistent with the prediction of the search based theory the relations are much stronger for illiquid and risky bonds furthermore both liquidity and credit risk become more important in times of stress and their effects are reinforcing results strongly suggest that search frictions and credit risk are important factors driving the relation between volatility and trading activity in the corporate bond market

deutsche mark dollar volatility intraday activity patterns macroeconomic announcements and longer run dependencies this paper provides a detailed characterization of the volatility in the deutsche mark dollar foreign exchange market using an annual sample of five minute returns the approach captures the intraday activity patterns the macroeconomic announcements and the volatility persistence arch known from daily returns the different features are separately quantified and shown to account for a substantial fraction of return variability both at the intraday and daily level the implications of the results for the interpretation of the fundamental driving forces behind the volatility process is also discussed the efficient market hypothesis contends that financial asset prices provide rational assessments of fundamental values and future payoffs by implication price changes should reflect the arrival and processing of all relevant new information however the proportion of return variability that can be ascribed to public news announcements is low for example cutler poterba and summers 1989 find that even the largest daily price changes in the stock market generally cannot be associated with any significant economic news 1 moreover proxies for the flow of public information e g the number of news items released by reuter s news service berry and hiowe 1994 or dow jones company mitchell and mulherin 1994 explain little of the overall variation thus if private information is ruled out proponents of rational price formation have to assert the existence of important news items

the future natural gas consumption in china based on the lmdi stirpat plsr framework and scenario analysis abstract due to the growing pollution concerns in china there have been major efforts to design interrelated environmental protection policies as the policy of reducing coal consumption is implemented china s natural gas consumption is expected to commensurately rise such a trend may lead to the significant impacts on china s energy security and the global gas market this paper empirically investigates the relationship between the natural gas consumption and influencing factors in a comprehensive lmdi stirpat plsr framework it is found that fossil energy structure and non clean energy structure are the most important factors followed by urbanization per capita gdp industrialization and industrial energy intensity and then these factors from lmdi decomposition are innovatively divided into economic development and cleaning indicators when using scenario analysis to forecast china s natural gas consumption the prediction results suggest that economic development with high clean energy system would make a significant increase in gas consumption a commensurate increase in demand even the system of economic energy under scenario of low economic development and low clean as china would depend on gas imports to meet this demand there may be a serious supply shortage by 2020 therefore the government should consider the future energy security issue in making economic and environmental policies

the relationship among natural gas energy consumption capital and economic growth bootstrap corrected causality tests from g 7 countries abstract this paper examines the relationship between natural gas consumption economic growth and capital by using g 7 countries data and a bootstrap corrected causality test for the period 1970 2008 it was found eight significant granger causality relationships for italy the granger causality is from natural gas consumption to growth and united kingdom adverse for pattern of france germany and united states there is two sided granger causality between natural gas and growth

energy consumption and economic growth evidence from the commonwealth of independent states abstract this study examines the relationship between energy consumption and economic growth for eleven countries of the commonwealth of independent states over the period 1991 2005 within a multivariate panel data framework based on pedroni 1999 pedroni 2004 heterogeneous panel cointegration test and corresponding error correction model cointegration is present between real gdp energy consumption real gross fixed capital formation and labor force with the respective coefficients positive and statistically significant the results of the error correction model reveal the presence of unidirectional causality from energy consumption to economic growth in the short run while bidirectional causality between energy consumption and economic growth in the long run thus the results lend support for the feedback hypothesis associated with the relationship between energy consumption and economic growth

seminonparametric estimation of conditionally constrained heterogeneous processes asset pricing applications the overidentifying restrictions of the intertemporal capital asset pricing model are usually rejected when tested using data on consumption growth and asset returns particu larly when additively separable constant relative risk utility is attributed to the representa tive agent this article investigates the extent to which specification error can explain these rejections the empirical strategy is limited information maximum likelihood in conjunc tion with seminonparametric expanding parameter space representations for both the law of motion and utility we find that consumption growth and asset returns display conditional heterogeneity but this fact does not account for rejection of the overidentifying restrictions as might be anticipated from the work of hansen singleton and others using generalized method of moments methods we also find that expansion of the parameter space in the direction of nonseparable utility causes the overidentifying restrictions to be accepted our estimation strategy provides information on the manner in which the restrictions distort the law of motion in particular imposition of additively separable constant relative risk aversion utility causes the conditional variance of consumption growth to be overpredicted the conditional covariance of asset returns with consumption growth to be overpredicted and an equity premium imposition of nonseparable seminon parametric utility causes distortion in these same directions though the distortions are much smaller which is consistent with the outcomes of the tests of the restrictions

measurement effects and the variance of returns after stock splits and stock dividends this article examines the relation between two factors affecting stock returns the bid ask spread and price discreteness and the increase in return variance after ex dates of stock splits and stock dividends controlling for these effects the variance of daily returns still increases significantly the variance of weekly returns also increases significantly and the variance of returns for a control sample of nonsplitting firms shows no significant increase variance ratio tests show that bid ask errors are small for these stocks and therefore cannot explain the large increase in variance spreads and price discreteness do not explain increased variance after stock distributions article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

what induced china s energy intensity to fluctuate 1997 2006 abstract china is the second largest energy consumer in the world during 1997 2002 china s energy intensity declined by 33 however it rose by 10 7 over 2003 2005 and declined by 1 2 in 2006 what induced china s energy intensity to fluctuate so drastically industry accounts for approximately 70 of the total energy consumption in china in this paper we decompose china s industrial energy intensity changes between 1997 and 2002 into sectoral structural effects and efficiency effects measured by sectoral energy intensities at two digit level and including the shifts of product mix in the sub sector or firm level using tornqvist and sato vartia index methods the results show that in this period efficiency effects possibly contributed to a majority of the decline while the contribution from structural effects was less during 2003 2005 the excessive expansion of high energy consuming sub sectors and the high investment ratio were foremost sources of the increasing energy intensity attributed to the government efforts the energy intensity has started to decline slightly since july 2006 in future to save more energy in addition to technical progress china should attach more importance to optimizing its sectoral structure and lowering its investment ratio

the impact of short selling on the price volume relationship evidence from hong kong this paper considers the relationship between traded volume and volatility allowing for the impact of short sales the evidence supports a nonlinear bidirectional relationship between volume and volatility short selling is found to have a significant impact on this relationship and our results suggest i that the hong kong market displays greater volatility following a period of short selling and ii that asymmetric responses to positive and negative innovations to returns appear to be exacerbated by short selling

how to boost energy productivity in china s industrial sector an integrated decomposition framework based on multi dimensional factors abstract the industrial sector is a pillar for china s economy improving the energy productivity is of great significance to mitigate the discrepancy between energy use and energy supply as well as the economic development and environmental friendliness this paper extended the previous decomposition method by introducing six new components energy output oriented regional efficiency energy output oriented scale economy energy output oriented pure technical efficiency these new factors can uncover the impacts of regional balance development scale economy optimization and resource allocation efficiency change on energy productivity the main research results indicate that during the 2000 2016 period 1 industrial energy productivity yield progressively increased and the discrepancies of energy productivity in different regions were obvious eastern region represented the best energy productivity performance followed by the central and western regions 2 technological progress in both energy saving and production were two principal contributors to energy productivity growth overall the pure technical efficiency also promoted energy productivity suggesting that resource allocation efficiencies were performed well in both the energy market and the output market 3 by contrast both the energy and output oriented scale economy effect failed to promote energy productivity growth besides the energy oriented and output oriented regional efficiency had opposite impacts on energy productivity the former one had the inhibiting effects while the last one had the promoting effects finally several relevant suggestions for policymakers were provided

decomposition analysis of debt s impact on china s energy consumption abstract debt can influence the energy consumption of private sectors and public agencies by changing their fiscal budget constraints from 1996 to 2016 china has had rapid debt growth and become the second largest borrower in the world additionally china has been the largest energy consumer since 2009 the impact of debt growth on its energy consumption however is not much addressed in the literature using an extended lmdi model we investigate the impact of china s debt on its energy consumption from 1996 to 2016 in a new way the results show that 1 among the closed set of debt related factors and other conventional variables studied private debt per capita makes the strongest contribution to china s energy consumption and population has a moderate impact on the growth of energy consumption 2 energy efficiency improvement output efficiency of government debt debt structure adjustment and increased tertiary industry share are mitigating forces of energy consumption these results provide a new holistic perspective for the chinese government to formulate synergistic policies of risk control and pollution control

u s stock market crash risk 1926 2010 abstract this paper examines how well alternate time changed levy processes capture stochastic volatility and the substantial outliers observed in u s stock market returns over the past 85 years the autocorrelation of daily stock market returns varies substantially over time necessitating an additional state variable when analyzing historical data i estimate various one and two factor stochastic volatility levy models with time varying autocorrelation via extensions of the bates 2006 methodology that provide filtered daily estimates of volatility and autocorrelation the paper explores option pricing implications including for the volatility index vix during the recent financial crisis

uncertainty in electricity markets from a semi nonparametric approach abstract this paper introduces a semi nonparametric snp methodology for the modeling of skewness leptokurtosis and high order moments in electricity markets we highlight the importance of accurately measuring these features in many contexts e g design of power plants with different technologies fuel prices and energy demand and the need for using flexible non normal densities we show that the snp approach describes the uncertainty in an electricity markets reducing the limitations that normality and parametric density functions impose our application covers a wide variety of colombian electricity variables including spot price national energy demand the climate index oni and the series of hydrologic inflows for different rivers for such variables we find that the snp outperforms the normal distribution in terms of accuracy measures based on maximum likelihood estimation as a result our methodology has direct applications for risk analysis and portfolio choice related to electricity markets and for implementing policies on electricity markets that improve efficiency and sustainability

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

seasonality in variance is common in macro time series while it is widely appreciated that financial time series exhibit seasonality in variance it is less widely known that many macroeconomic time series exhibit significant seasonality in variance as well we look at nine common macro time series including measures of prices money and interest rates all have significant seasonality in variance this feature has implications for time series practice generally for seasonal adjustment and for policymakers copyright 2000 by university of chicago press

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

optimal stock trading with personal taxes implications for prices and the abnormal january returns abstract the tax law confers upon the investor a timing option to realize capital losses and defer capital gains with the tax rate on long term gains and losses being about half the short term rate the law provides a second timing option to realize losses short term and gains long term if at all our theory and simulation over the 1962 1977 period establish that taxable investors should realize long term gains in high variance stocks and repurchase stock in order to realize potential future losses short term tax trading does not explain the small firm anomaly but predicts a seasonal pattern in trading volume which maps into a seasonal pattern in stock prices the january anomaly only if investors are irrational or ignorant of the price seasonality

differential interpretation of public signals and trade in speculative markets most models of trade in speculative markets assume that agents interpret public information identically we provide empirical evidence on the relation between the volume of trade and stock returns around public announcements and we argue that the evidence is inconsistent with this assumption we then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume return relation then we test the standard model of belief revision underlying most models of trade using stock brokerage research analysts earnings forecasts the hypthesis of identical interpretations seems inconsistent with the forecast revisions in these data

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

transactions volume and volatility we show that the positive volatility volume relation documented by numerous researchers actually reflects the positive relation between volatility and the number of transactions thus it is the occurrence of transactions per se and not their size that generates volatility trade size has no information beyond that contained in the frequency of transactions our results suggest that theoretical research needs to entertain scenarios in which 1 both the frequency and size of trades are endogenously determined yet 2 the size of trades has no information content beyond that contained in the number of transactions article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

energy consumption and economic activities in iran abstract the causal relationship between overall gdp industrial and agricultural value added and consumption of different kinds of energy are investigated using vector error correction model for the case of iran within 1967 2003 a long run unidirectional relationship from gdp to total energy and bidirectional relationship between gdp and gas as well as gdp and petroleum products consumption for the whole economy was discovered causality is running from value added to total energy electricity gas and petroleum products consumption and from gas consumption to value added in industrial sector the long run bidirectional relations hold between value added and total energy electricity and petroleum products consumption in the agricultural sector the short run causality runs from gdp to total energy and petroleum products consumption and also industrial value added to total energy and petroleum products consumption in this sector

intraday relationships among index arbitrage spot and futures price volatility and spot market volume a transactions data test abstract this paper examines intraday temporal relationships among arbitrage spreads cash and futures price volatility and cash trading volume using transactions data for the major market index futures contracts and the component stocks of the index results indicate that changes in the spread have a significant impact on cash and futures price volatility as well as on cash trading volume the impact of the spread however is attenuated by the short sale restriction in the cash market contrary to popular beliefs a more volatile market leads to subsequent decreases in the spread probably because of increases in the supply of arbitrage services or faster price adjustments

speculative behavior and the dynamics of interacting stock markets abstract we develop a simple agent based financial market model in which heterogeneous speculators apply technical and fundamental analysis to trade in two different stock markets speculators strategy market selections are repeated at each time step and depend on predisposition effects herding behavior and market circumstances simulations reveal that our model is able to explain a number of nontrivial statistical properties of and between international stock markets including bubbles and crashes fat tailed return distributions volatility clustering persistent trading volume coevolving stock prices and cross correlated volatilities against this background our model may be deemed to have been validated

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

order imbalance liquidity and market returns traditionally volume has provided the link between trading activity and returns we focus on a hitherto unexplored but intuitive measure of trading activity the aggregate daily order imbalance on the new york stock exchange signed order imbalances increase decrease following market declines rises which reveals that investors are contrarians on aggregate order imbalances in either direction either excess buy or sell orders reduce liquidity market wide returns are strongly affected by contemporaneous and lagged order imbalances market wide returns reverse themselves after high negative imbalance large negative return days the magnitude of this reversal is partially predictable from the level of the imbalance and return even after controlling for aggregate market volume and liquidity market returns are affected by order imbalance

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

on the volatility volume relationship in energy futures markets using intraday data this paper investigates the relationship between trading volume and price volatility in the crude oil and natural gas futures markets when using high frequency data by regressing various realized volatility measures with without jumps on trading volume and trading frequency our results feature a contemporaneous and largely positive relationship furthermore we test whether the volatility volume relationship is symmetric for energy futures by considering positive and negative realized semivariances we show that i an asymm etric volatility volume relationship indeed exists ii trading volume and trading frequency significantly affect negative and positive realized semivariance and iii the information content of negative realized semivariance is higher than for positive realized semivariance

the state street mile age and gender differences in competition aversion in the field i introduction gender differences in competitiveness are hypothesized to play a role in a wide array of economic outcomes including the low representation of women among fortune 500 chief executive officers bertrand and hallock 2001 niederle and vesterlund 2007 although psychologists have a long history of documenting the reluctance of girls or women to enter competitions economists have begun to study this phenomenon only recently psychologists have previously emphasized the tendency of women to underestimate their future performance on a number of different tasks deaux 1979 pallier 2003 1 careful experimental studies by economists reveal that in a laboratory setting a number of different reasons underlie women s lower inclination to compete these reasons include not only women s tendency to underestimate their own ability but also greater aversion to risk and uncertainty about their ability eckel 2008 eckel and grossman 2008 gupta poulsen and villeval 2011 niederle and yestrumskas 2008 niederle and vesterlund 2007 control for these and other factors in a carefully designed experiment that provides strong evidence of a distinct preference to avoid the act of competition against men 2 the purpose of this paper is to provide evidence of competition aversion in a natural setting somewhere between the simplicity of a laboratory experiment and the full complexity and ambiguity of a labor market the behavior of runners in a race suggests that female competition aversion can be detected even in single sex situations the state street mile race offers both male and female participants a choice between two different levels of competition those who believe they have superior ability relative to participants of the same gender are encouraged to enter a highly competitive high profile elite race with cash prizes other participants those who believe they are slower runners and those who simply prefer a lower level of competition pay the same entry fee and run the same course in age group races with no cash prize systematic gender differences are observed in the relationship between true ability as measured by actual time to run the mile observed ex post and the decision to enter the more competitive elite race while fast young men are almost certain to enter the highly competitive race a sizable minority of the fast young women do not choose to do so niederle and vesterlund 2007 argue that reluctance to compete against men is particularly costly to high ability women because this group has the most to gain from entering the competition this was true for the mixed gender tournament they studied however we find that on this single sex task the very fastest women are quite likely to enter the elite race it is the middle range above the qualifying standard but below the group most likely to win where the largest gender differences in behavior are observed thus although our results are consistent with experimental work suggesting that women tend to have competition averse preferences they also demonstrate that in some instances there might not be very much economic significance in this context the fastest women respond to financial incentives and the economic consequences of the preference for competition aversion are therefore quite small in addition to the gender difference this analysis identifies a reluctance of older qualified runners to enter the more competitive race despite the fact that over the age of 40 winners are chosen based on age graded times this finding differs from recent experimental work by charness and villeval 2009 which shows that younger and older field subjects employees below 30 years old and employees of the same firm above 50 years old were equally willing to select a competitive payment option in the state street mile the propensity to compete in the highly competitive elite race among older men is similar to that observed for younger women while older women are the least likely and young men are the most likely to enter a highly competitive elite race

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

energy decomposition analysis iea model versus other methods abstract in energy decomposition analysis the international energy agency iea model which is based on the laspeyres index method is included in a recent international collaborative initiative on energy indicators for sustainable development for possible adoption iaea 2005 energy indicators for sustainable development guidelines and methodology international atomic energy agency vienna www pub iaea org mtcd publications pdf pub1222 web pdf from an empirical analysis using the data of the united states we found that the residual term given by the iea model could be significant and that the estimates of the impacts of structure and intensity changes given by the model could be quite different from those given by other decomposition methods the residual term tends to be large when changes in structure and or energy intensity variables are significant since changes in these variables over time are generally larger in the developing countries than in the iea countries there is the question about whether the iea model is an appropriate decomposition method for the developing countries

understanding energy systems change in canada 1 decomposition of total energy intensity abstract between 1995 and 2010 the total energy intensity e gdp pj gross domestic product in 2002 of the canadian economy declined by 23 or 2 64 mj to understand why the logarithmic mean divisia index lmd i method was used to decompose a large body of government statistical data supporting the observed e gdp decline the analysis shows that a 48 1 27 mj of the decline was associated with an inter sector structural change in the economy i e an increased contribution to the total gdp of the low energy using commercial and institutional sector compared with the high energy using manufacturing and heavy industry sectors b 24 0 62 mj was attributed to the impact of the canadian gdp growing faster than population c 22 0 58 mj of the decline was associated with an overall decrease in business energy intensity a deeper analysis of business sectors shows a positive impact of 0 4 mj from increased energy intensity in the oil and gas sector offset by a 0 98 mj decline due to energy intensity declines in the other business sectors d 6 3 0 17 mj of the decline was associated with an improvement in the energy intensity of households mostly from residential energy use rather than personal transportation energy use these results provide insights for policy makers regarding those aspects of the canadian economy that contribute to or work against efforts to transform energy systems toward sustainability

liquidity and the law of one price the case of the futures cash basis deviations from no arbitrage relations should be related to market liquidity because liquidity facilitates arbitrage at the same time a wide futures cash basis may trigger arbitrage trades and in turn affect liquidity we test these ideas by studying the dynamic relation between stock market liquidity and the index futures basis there is evidence of two way granger causality between the short term absolute basis and liquidity and liquidity granger causes longer term absolute bases shocks to the absolute basis predict future stock market liquidity the evidence suggests that liquidity enhances the efficiency of the futures cash pricing system copyright 2007 by the american finance association

volume autocorrelation information and investor trading this study investigates whether the widely documented daily correlated trading volume of stocks is driven by individual investor trading institutional trading or both we find that at least 95 of nyse and amex stocks exhibit statistically significant positive serial correlation volume autocorrelation decreases with the level of institutional ownership of a stock we also show that the rate of arrivals of new information to the market contributes to the clustering of trades when there is high information flow to the market institutional trading generates a more pronounced effect on volume autocorrelation than individual investor trading our results are broadly consistent with the predictions of trading volume patterns suggested by most theoretical models of stock trading and by empirical research on investor trading

a dynamic equilibrium model of asset prices and transaction volume a dynamic general equilibrium model of capital asset pricing is constructed in which the volume of capital traded is determined endogenously the model also gives rise to a novel asset pricing formula it is shown that temporary shocks can give rise to serially correlated changes in the price of capital and transaction volume that persist long after the initial disturbance the frequency and amplitude of the resulting cycles are related to the length of the agent s planning horizon and the discount factor the model s implications for explaining asset price volatility are also explored

volume volatility and the dispersion of beliefs i examine a two period noisy rational expectations model of a futures market and show that the dispersion of expectations about a weighted average of future prices measures both the additional volatility and the additional expected volume of trade associated with noisy information the role played by dispersion helps clarify several stylized facts concerning volume and price behavior specifically dispersion can be a factor contributing to the positive correlation between volume and absolute price changes and the positive correlation between consecutive absolute price changes article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

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

long memory in volatility and trading volume abstract we use fractionally integrated time series models to investigate the joint dynamics of equity trading volume and volatility bollerslev and jubinski 1999 show that volume and volatility have a similar degree of fractional integration and they argue that this evidence supports a long run view of the mixture of distributions hypothesis we examine this issue using more precise volatility estimates obtained using high frequency returns i e realized volatilities our results indicate that volume and volatility both display long memory but we can reject the hypothesis that the two series share a common order of fractional integration for a fifth of the firms in our sample moreover we find a strong correlation between the innovations to volume and volatility which suggests that trading volume can be used to obtain more precise estimates of daily volatility for cases in which high frequency returns are unavailable

trading volume and serial correlation in stock returns this paper investigates the relationship between aggregate stock market trading volume and the serial correlation of daily stock returns for both stock indexes and individual large stocks the first order daily return autocorrelation tends to decline with volume the paper explains this phenomenon using a model in which risk averse market makers accommodate buying or selling pressure from liquidity or noninformational traders changing expected stock returns reward market makers for playing this role the model implies that a stock price decline on a high volume day is more likely than a stock price decline on a low volume day to be associated with an increase in the expected stock return