an equilibrium model of asset trading with sequential information arrival in an effort to better understand the dynamic market price adjustment process this paper develops a model which describes the impact of new information on a financial market the primary emphasis is on the price change volume relationship in the presence of a margin requirement we find that the margin requirement significantly affects the relation of price change to volume furthermore this relationship is shown to be affected by the number of investors in the market the degree of information dissemination differences in interpretation of information and the implicit cost of the margin requirement

day of the week effects and asset returns the number of empirical studies using daily stock returns is rapidly increasing researchers generally assume that the distribution of stock returns is identical for all days of the week a convenient statistical assumption but not a necessary condition of market equilibrium nevertheless there are reasons to suspect that the distribution of returns may vary according to the day of the week the most obvious is the impact of weekends on monday s return since monday s return is calculated over three instead of one calender day the mean and variance may well be higher on monday compared with any other daily return perhaps three times as large previous research has examined the daily distribution of stock returns for a monday effect while fama 1965 does not compare daily mean returns he does report that monday s variance is about 20o greater than other daily returns with a traditional distributional assumption regarding the returns on a financial asset specifies that the expected returns are identical for all days of the week contrary to this plausible assumption this paper discovers that the expected returns on common stocks and treasury bills are not constant across days of the week the most notable evidence is for monday s returns where the mean is unusually low or even negative several explanations of the results are investigated but none proves satisfactory aside from documenting significant day of the week effects the implications of the results for tests of market efficiency are examined while market adjusted returns continue to exhibit day of the week effects these effects are no longer concentrated on monday during the last year we have had many conversations with our colleagues throughout the professions we are particularly thankful to the participants at sessions of the western and american finance associations where preliminary versions of this paper were presented special thanks are due to gene fama gailen hite jon ingersoll robert jarrow merton miller clifford smith and rex thompson the expert research assistance of frank rabinovitch and youngsup yun is gratefully acknowledged 1 the list of papers using daily stock returns is too long to name recent examples include charest 1978 dodd 1980 banz 1981 and reinganum 1981

informed arbitrage with speculative noise trading abstract we consider speculative noise trading when some naive speculators trade on noise as if it were information black f 1986 noise journal of finance 41 529 543 we examine the optimal trading strategy of an informed investor who faces such naive speculators in the market we find that the informed investor trades aggressively on her information and takes large opposite positions against the naive speculators the trading volume is thereby drastically magnified while such speculative noise trading enhances liquidity it makes prices less efficient the overall dynamic patterns that emerge from our model are most consistent with the evidence for interday variations in volume volatility and transaction costs

trading halts and market activity an analysis of volume at the open and the close this paper analyzes how the daily opening and closing of financial markets affect trading volume we model the desire to trade at the beginning and end of the day as a function of overnight return volatility nyse data from 1933 88 indicate that closing volume is positively related to expected overnight volatility while volume at the open is positively related to both expected and unexpected volatility from the previous night we interpret the symmetric response of trading at the open and the close to expected volatility as being due to investor heterogeneities in the ability to bear risk when the market is closed this desire of investors to trade prior to market closings indicates a cost of mandating marketwide circuit breakers

round the clock market efficiency and home bias evidence from the international japanese government bonds futures markets abstract this paper examines how information is processed between almost identical international futures markets london liffe and tokyo tse jgb futures in these markets variations in open to open changes are virtually the same as those of close to close changes suggesting that information is transmitted efficiently across markets with small opening pricing errors the overall results confirm market efficiency around the clock yet the intraday u shaped patterns in volume volatility of the london jgb futures suggest home bias in international investments indicating a less global view of trading than expected specifically at the liffe open london investors rush to rebalance portfolios instead of doing so at the tse close which is only one hour before the liffe opens

stress testing the equity home bias a turnover analysis of eurozone markets abstract shifts in equity turnover happen on and around holidays because rationally bounded investors become distracted their pattern reveals a persistent equity home bias even in the eurozone a stress test case for the survival of this bias given the high level of economic and financial development and integration in this area the bias is greater for small caps because investors are reluctant to hold this class of foreign asset our study corroborates calendar anomalies in trading volumes but refutes the hypothesis regarding turnover sensitivity to stock returns common in the empirical and theoretical literature based on investor heterogeneity and short sale constraints our results reveal vanishing cost asymmetries in taking long rather than short positions

evaluating public policy instruments in the greek building sector abstract this paper applies a multi criteria analysis mca to evaluate public policy mechanisms that foster energy efficiency and renewable energy sources in the greek building sector based on stakeholders understanding and perceptions of the functionality of policy instruments the objective is to shed light on the implementation of currently employed policy mechanisms that aim to achieve the 2020 energy savings targets and beyond providing useful information to policy makers for future policy re formulations in this framework policy instruments were evaluated against process related criteria such as implementation costs distributional effects and coherence of policy processes so as to highlight successful policy practices during their implementation phase as well as to unveil cases of policy underperformance or unintended policy outcomes to hedge uncertainties related to policy instrument selection the method employs probabilistic evaluations of every alternative against each criterion the mca results showed that the country is still missing significant energy saving opportunities that could be reached through more streamlined implementation practices and political support in times of fiscal crisis the greek government should also revitalize the implementation of alternative funding mechanisms and support policy alternatives such as green public procurement voluntary agreements and energy performance contracting

new findings regarding day of the week returns over trading and non trading periods a note this paper decomposes daily close to close returns into trading day and non trading day returns we discover that all of the average negative returns from friday close to monday close documented in the literature for stock market indexes occurs during the non trading period from friday close to monday open in addition average trading day returns open to close are identical for all days of the week january firm size turn of the year anomalies are shown to be interrelated with day of the week returns

interday variations in volume variance and participation of large speculators abstract we use data uniquely available from the commodity futures trading commission cftc to document the intraweek trading patterns of large speculators in five futures markets these markets include futures traded against the standard and poor s 500 stock index treasury bonds gold corn and soybeans we also examine the influence of large speculator trades on the patterns of volume and volatility for the contracts in our sample though we detect the familiar u shaped and inverted u shaped patterns across weekdays for volatility and aggregate volume the association between volume and volatility becomes stronger when we separate large speculator volume from volume associated with other traders the coefficient on large speculator volume is much larger than the coefficient on other volume in these regressions compared with total volume large speculator volume is greater on mondays than on the other days of the week in all five markets

an investigation of transactions data for nyse stocks using transactions data the behavior of returns and characteristics of trades at the micro level is examined a minute by minute market return series is formed and tested for normality and autocorrelation evidence of differences in return distributions is found among overnight trades trades during the first 30 minutes following the market opening trades at the close and trades during the remainder of the day the latter distribution is found to be normal unusually high returns and standard deviations of returns are found at the beginning and the end of the trading day when the beginningand end of the day effects are omitted autocorrelation in the market return series is reduced substantially a number of patterns in trading are reported this paper empirically investigates the nature of the return generating process and the characteristics of trade size price changes trading frequency and trading interval at the level of individual trades for a large sample of nyse stocks previous studies of market indices have used daily weekly or monthly

is information assimilated at announcements in the european carbon market abstract we examine the high frequency new information impact on prices volatility trading volume and illiquidity at scheduled macroeconomic and verified emissions announcements for the european carbon futures market verified emissions united states non farm payroll and german new factory order macroeconomic announcements impact carbon prices swiftly within 5 min we show that a one standard deviation surprise increase in verified emission announcements is associated with an approximate ten percentage point 9 96 increase in carbon futures returns a wait and see stylized trading behavior is evident at announcements in volatility and trading volumes market illiquidity increases at announcements in relation to united states non farm payroll albeit there is no evidence of an increase in illiquidity prior to announcements the development of new information impact over time occurs mainly in the at announcement 5 minute time interval

the dependence between hourly prices and trading volume this study provides evidence on joint characteristics of hourly common stock trading vol ume and returns on the new york stock exchange average volume traded shows signifi cant differences across trading hours of the day and across days of the week average returns differ across hours ofthe day and to some extent across days ofthe week there is a strong contemporaneous relation between trading volume and returns and also a rela tion between trading volume and returns lagged up to four hours furthermore the trading volume returns relation is steeper for positive returns than for nonpositive returns

tax induced trading around ex dividend days abstract this paper investigates trading volume around ex dividend days for taxable distributions cash dividends it is found that trading volume increases significantly around the ex dividend day this increase is more pronounced for high yield actively traded stocks and after brokerage commissions became negotiable the results are consistent with the hypothesis that short term traders have an impact on ex day price behavior at least for taxable distributions for non taxable distributions stock splits and stock dividends we find negative abnormal volume around ex day

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

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

an empirical analysis of the stock price volume relationship abstract this paper investigates the empirical relationship between absolute stock price changes and trading volume in the stock market using granger causality tests we find that there is a significant causal relationship between absolute price changes and volume at the firm level and that this relationship is stronger in periods surrounding earnings announcements we view this as suggesting that information arrival follows a sequential rather than a simultaneous process although the results do not support an extreme version of either information arrival model

entry and product variety with competing supply chains we study a model where an endogenous number of competing manufacturers located around a circle contract with exclusive retailers who are privately informed about their costs the number of brands in the market determined by the manufacturers zero profit condition depends on the presence of asymmetric information and on the types of contracts between manufacturers and retailers with two part tariffs wholesale prices fully reflect retailers costs with linear contracts wholesale prices are constant and independent of retailers costs the number of brands is lower resp higher with asymmetric information than with complete information when contracts are linear resp with two part tariffs moreover although the number of brands is always higher with linear contracts than with two part tariffs joint profits of manufacturers and retailers are higher with linear prices we also discuss manufacturers incentives to choose different contract forms and analyze the effects of endogenous entry on welfare

volume volatility and public news announcements we provide new empirical evidence for the way in which financial markets process information our results rely critically on high frequency intraday price and volume data for the s p 500 equity portfolio and u s treasury bonds along with new econometric techniques for making inference on the relationship between trading intensity and spot volatility around public news announcements consistent with the predictions derived from a theoretical model in which investors agree to disagree our estimates for the intraday volume volatility elasticity around important news announcements are systematically below unity our elasticity estimates also decrease significantly with measures of disagreements in beliefs economic uncertainty and textual based sentiment further highlighting the key role played by differences of opinion

trading and returns under periodic market closures this paper studies how market closures affect investors trading policies and the resulting return generating process it shows that closures generate rich patterns of time variation in trading and returns including those consistent with empirical findings 1 u shaped patterns in the mean and volatility of returns over trading periods 2 higher trading activity around the close and open 3 more volatile open to open returns than close to close returns 4 higher returns over trading periods than over nontrading periods 5 more volatile returns over trading periods than over nontrading periods it also shows that closures can make prices more informative about future payoffs we model a competitive stock market with periodic closures in which investors trade for both allocational and informational reasons we use the model to study how market closures intrinsically affect investors trading behavior and the return generating process the purpose of this analysis is to increase our understanding of the time variation in security trading and returns that are associated with regular market closures such as the intraday and intraweek patterns in stock returns volatility and trading volume we consider a stock market in which the exogenous information flow is homogeneous over time and the market closes periodically when the market is open investors trade the stock either to rebalance their overall portfolio of assets which also includes other illiquid assets or to speculate on future stock payoffs using their private information in particular investors adjust their asset portfolio by trading the stock in order to hedge the risk of illiquid assets we refer to these trades as hedging trades and those motivated by private information as speculative trades when the market is closed hong is from the graduate school of business stanford university and wang is from the sloan school of management massachusetts institute of technology and nber the authors thank jennifer huang for programming assistance and an anonymous referee for many valuable suggestions they also thank glenn ellison john heaton craig holden andrew lo steve slezak jeremy stein rene stulz the editor the nber asset pricing lunch group and par

a transaction data study of weekly and intradaily patterns in stock returns abstract weekly and intradaily patterns in common stock prices are examined using transaction data for large firms negative monday close to close returns accrue between the friday close and the monday open for smaller firms they accrue primarily during the monday trading day for all firms significant weekday differences in intraday returns accrue during the first 45 minutes after the market opens on monday mornings prices drop while on the other weekday mornings they rise otherwise the pattern of intraday returns is similar on all weekdays most notable is an increase in prices on the last trade of the day

price formation on stock exchanges the evolution of trading within the day prior analyses of prices of the nyse and other exchanges find that transitory price volatility is greater at the open of trading than at the close we extend this line of research by using 40 years of hourly dow jones 65 composite price index data to estimate transitory volatility throughout the trading day our results indicate that transitory volatility steadily declines during the trading day we find a similar intraday decline in transitory volatility for a 2 1 2 year sample of the individual firms in the dow jones 30 industrials index the results are consistent with the hypothesis that trading aids price formation and do not support the argument that particular trading mechanisms are the source of greater volatility at the open of trading article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

autocorrelation of daily index returns intraday to intraday versus close to close intervals abstract first order autocorrelation coefficients of 1 daily equally weighted open to open returns 2 daily equally weighted intraday to intraday returns terminating at each of 23 successive 15 minute intervals of the trading day beginning at 10 15 a m and 3 daily equally weighted and value weighted close to close returns interval 24 are examined a number of findings concerning the behavior of these autocorrelations are reported first order autocorrelation is shown to follow a crude u shaped pattern when plotted against the time of the trading day but there is no significant difference in the behavior of autocorrelations based on open to open returns and 24 hour returns terminating at 10 15 a m evidence that intraday patterns in autocorrelation cannot be explained fully by trading delays also is presented

futures price variability a test of maturity and volume effects a number of previous studies have examined the contemporaneous relation between asset price variability and volume traded for example clark 1973 cornell 1981 and tauchen and pitts 1983 have investigated this relation for futures markets and epps and epps 1976 harris 1984a 1984b and smirlock and starks 1984 for the stock market underlying this empirical research is a theoretical framework that suggests that price variability or the absolute change in prices and volume traded should be positively correlated according to this theoretical framework the so called mixture of distributions hypothesis mdh 1 the correlation between price variability and volume should be positive because of joint dependence on a common directing variable or event this study uses contract disaggregated data on futures prices to obtain evidence on the relation between price variability and volume of trading strong positive contemporaneous correlations between trading volume and price volatility are documented consistent with the mixture of distributions hypothesis it is concluded that maturity is not a suitable surrogate for the common directing variable specifically while maturity has a strong effect on volume no such relation is found for price variability finally while in the majority of cases price variability and trading volume are contemporaneously correlated there are a significant number of cases in which a sequential relation appears to be present an earlier version of this paper was presented at the 1984 meeting of the european finance association in manchester england and at southern methodist university the university of wisconsin madison duke university mcgill university and the university of toronto we wish to thank the seminar participants and an anonymous referee from this journal for constructive comments and criticism all remaining errors are of course our responsibility we would also like to thank the columbia center for the study of futures markets and the interactive data corp for providing some of the data used in the study 1 see clark 1973 and harris 1984a 1984b

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

stable classes of technical trading rules technical analysis includes a huge variety of trading rules this fact has always been a serious hindrance to the large number of market efficiency studies implemented either to demonstrate the profitability of market beating systems or to deny their operational feasibility for evident reasons it is practically impossible and theoretically weak to systematically analyse the entire body of all trading rules we therefore propose a novel method to form natural classes of trading rules which are found to be robust to changing market scenarios in particular groups are formed adopting a similarity measure based on the investing signals of the trading rules our clustering methodology adopts a markov chain bootstrapping technique to generate differentiated scenarios preserving volume and price joint distributional features an application is developed on a sample of 674 trading rules results show that six groups here identified as trading styles are sufficient to explain the large portion of the investing