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

order flow transaction clock and normality of asset returns the goal of this paper is to show that normality of asset returns can be recovered through a stochastic time change clark 1973 addressed this issue by representing the price process as a subordinated process with volume as the lognormally distributed subordinator we extend clark s results and find the following i stochastic time changes are mathematically much less constraining than subordinators ii the cumulative number of trades is a better stochastic clock than the volume for generating virtually perfect normality in returns iii this clock can be modeled nonparametrically allowing both the time change and price processes to take the form of jump diffusions the relations among trading volume stock prices and price volatility the subject of empirical and theoretical studies over many years have lately received renewed attention with the increased availability of high frequency data a vast amount of research has focused on issues such as news arrivals volume and price changes or volatility moves usually outside any framework of general or even partial equilibrium is the normality of returns a key issue for example in the mean variance paradigm for portfolio choice or the recent study of the problems of risk management e g in value at risk verified at any time horizon the evidence accumulated from a number of studies that document the presence of leptokurtosis and skewness in the distribution of returns of a wide variety of financial assets suggests that the answer is no studies as early as for example fama 1965 showed that daily returns are more long tailed than the normal density with the distribution of returns approaching normality as the holding period is extended to one month in the same manner volatility smiles and other observed

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

the information content of annual earnings releases a trading volume approach this paper reports the results of an empirical examination of the relations between the volume of securities traded the magnitude of surprises in annual earnings announcements and firm size although early trading volume studies e g beaver 1968 kiger 1972 and foster 1973 replicated basic information content studies with findings similar to those based on security prices we should not expect that security price and trading volume research will continue to yield identical results when more refined hypotheses are tested trading volume reflects investors activity by summing all market trades whereas security prices reflect an aggregation or averaging of investors beliefs as a result we will on occasion observe differences between price and volume reactions to earnings announcements as did morse 1981 this study extends the recent trend toward tests of more refined hypotheses by using a larger sample to examine the associations between unexpected earnings firm size and trading volume and testing whether such associations can be generalized across fiscal year end dates and stock exchange listing my results show a continuous positive relationship between trading

trader see trader do how do small fx traders react to large counterparties trades abstract we show that information about the counterparty of a trade affects the future trading decisions of individual traders the effect is such that traders tend to reverse their order flow in line with the better informed counterparties informed traders primarily incorporate their own private as well as publicly available information into prices whereas uninformed traders mainly magnify the effect of the informed this pattern of interaction among traders extends to different order types traders treat their own and others market orders as more informative than limit orders

a markup over average cost pricing rule for meat and poultry in the united states abstract this paper tests the hypothesis that meat and poultry wholesalers choose their inventory levels together with wholesale price so as to maximize profit made over the sales time of their stock the behavioral assumption predicts that markup over average cost will match the inverse of the price elasticity of the sales time of inventory price elasticity of inventory sales time is estimated for beef pork and poultry accounting for the simultaneity between these pricing decisions by adopting a systems approach the estimated range for the inverse of these elasticities includes all the markups applied over the sample range of the time series

staggered contracts and the frequency of price adjustment this paper describes a methodology for measuring the frequency of price change in order to test the relevance of assuming prices to be set for discrete periods of time at overlapping intervals taylor 1980 has related the frequency of adjustment to the rigidity of the economy in responding to unanticipated events estimates of the frequency of price change are computed from data on the component parts of the deflator for personal consumption expenditure the results show a substantial decrease in the period between price changes during the middle 1960s and marked fluctuations in the 1970s the movements suggest changes in the rigidity associated with both changes in general price inflation and changes in the posture of the fiscal and monetary authorities

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

informational linkages across trading regions evidence from foreign exchange markets abstract using a new high frequency data set from electronic broking services ebs this paper examines informational linkages in the euro dollar and dollar yen exchange rates across five trading regions asia pacific the asia europe overlap europe the europe america overlap and america information is proxied by exchange rate return direction of return volatility trading activity and order flow we find that informational linkages are statistically significant at both own region and inter region levels but own region spillovers dominate in economic significance especially for volatility and trading activity in addition order flow spillovers from the europe america overlap trading region are the most important source of spillovers to other trading regions for both currency pairs

forward curves scarcity and price volatility in oil and natural gas markets the role of inventory in explaining the shape of the forward curve and spot price volatility in commodity markets is central in the theory of storage developed by kaldor kaldor n 1939 speculation and economic stability the review of economic studies 7 1 27 and working working h 1949 the theory of the price of storage american economic review 39 1254 1262 and has since been documented in a vast body of financial literature including the reference paper by fama and french fama e f and k r french 1987 commodity futures prices some evidence on forecast power premiums and the theory of storage journal of business 60 55 73 on metals the goal of this paper is twofold i validate in the case of oil and natural gas the use of the slope of the forward curve as a proxy for inventory the slope being defined in a way that filters out seasonality ii analyze directly for these two major commodities the relationship between inventory and price volatility in agreement with the theory of storage we find that i the negative correlation between price volatility and inventory is globally significant for crude oil ii this negative correlation prevails only during those periods of scarcity when the inventory is below the historical average and increases importantly during the winter periods for natural gas our results are illustrated by the analysis of a 15 year database of us oil and natural gas prices and inventory

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

price reversals bid ask errors or market overreaction abstract we show that bid ask errors in transaction prices are the predominant source of apparent price reversals in the short run for nasdaq firms once we extract measurement errors in prices caused by the bid ask spread we find little evidence of market overreaction on the contrary we find that security returns are positively and not negatively autocorrelated we also show that bid ask errors lead to substantial spurious volatility in transaction returns about half of measured daily return variances can be induced by the bid ask effect

an analysis of trade size clustering and its relation to stealth trading abstract nyse and nasdaq trades increasingly cluster on multiples of 500 1 000 and 5 000 shares such clustering varies over time and across stocks and tends to increase with the level of trading activity furthermore rounded trades tend to have more persistence both in occurrence and in trade initiation finally medium sized rounded trades tend to have greater relative price impact than large rounded trades from these observations we surmise that trade size clustering is consistent at least in part with the actions of stealth traders who tend to use medium sized rounded transactions in an attempt to disguise their trades

fx trading and exchange rate dynamics i examine the sources of exchange rate dynamics by focusing on the information structure of fx trading this structure permits the existence of an equilibrium distribution of transaction prices at a point in time i develop and estimate a model of the price distribution using data from the deutsche mark dollar market that prroduces two striking results 1 much of the short term volatility in exchange rates comes from sampling the heterogeneous trading decisions of dealers in a distribution that under normal market conditions changes comparatively slowly 2 public news is rarely the predominant source of exchange rate movements over any horizon copyright the american finance association 2002

endogenous participation risk in speculative markets abstract this paper analyses the dynamic implications of an asset pricing model with incomplete participation due to entry costs it is shown that heterogeneity in entry costs can lead to the existence of multiple stochastic sunspot equilibria whereby the number of agents in the market and asset prices fluctuate endogeneously over time in the absence of fundamental uncertainty such asset price fluctuations occur despite the uniqueness of the deterministic equilibrium and thus bear no link to the usual notion of steady state indeterminacy in addition to excess volatility the equilibria exhibit predictable and conditionally heteroskedastic returns

large block transactions the speed of response and temporary and permanent stock price effects abstract the paper investigates how quickly prices attain new equilibrium levels after large block transactions and measures the associated temporary and permanent price effects we find that prices adjust within at most three trades with most of the adjustment occurring in the first trade the temporary price effect for seller initiated transactions is related to block size but the temporary price effect observed for buyer initiated transactions is no larger than that observed in 100 share trades most of the price effect associated with block trades is permanent and is related to block size regardless of the initiating party

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

the production and inventory behavior of the american automobile industry understanding inventory movements is central to an understanding of business cycles this paper presents an empirical study of the behavior of inventories in the automobile industry it finds that inventory behavior is well explained by the assumption of intertemporal optimization with rational expectations the underlying cost structure appears to have substantial costs of changing production as well as substantial costs of being away from target inventory thelatter being a function of current sales given this cost structure whether inventory behavior is stabilizing or destabilizing depends on the characteristics of the demand process in the automobile industry inventory behavior is destabilizing the variance of production is larger than the variance of sales

response of hourly stock prices and trading volume to economic news this paper examines hourly stock returns and trading volume response to announcements about the money supply consumer price index cpi producer price index industrial production and the unemployment rate the empirical results indicate that surprises in announcements about money supply and cpi are significantly associated with stock price changes the announcements of the other three variables do not affect stock prices significantly trading volume is not affected by any of the five economic variable announcements indicating that market participants do not differ substanti ally in the interpretations of the effects of announcements the spee d of adjustment analysis indicates that the effect of information on stock prices is reflected in a short period of one hour or so copyright 1988 by the university of chicago

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

portfolio choice and trading volume with loss averse investors this paper presents a model of portfolio choice and stock trading volume with lossaverse investors the demand function for risky assets is discontinuous and non monotonic as wealth rises beyond a threshold investors follow a generalized portfolio insurance strategy this behavior is consistent with the evidence in favor of the disposition effect in addition loss averse investors will not hold stocks unless the equity premium is quite high the elasticity of the aggregate demand curve changes substantially depending on the distribution of wealth across investors in an equilibrium setting the model generates positive correlation between trading volume and stock return volatility but suggests that this relationship should be non linear

a further investigation of the weekend effect in stock returns this study uses a longer time period and additional stocks to further investigate the weekend effect we find consistently negative monday returns 1 for the s p composite as early as 1928 2 for exchange traded stocks of firms of all sizes and 3 for actively traded over the counter otc stocks the otc results are based on bid prices and therefore appear to reject specialist related explanations for the 30 individual stocks of the dow jones industrial index the average correlation between friday and monday returns is positive and the highest of all pairs of successive days the latter finding is inconsistent with fairly general measurement error explanations some of the most puzzling empirical findings reported in recent years indicate that the distribution of common stock returns varies by day of the week most notably the average return for monday close friday to close monday is significantly negative cross 3 and french 6 find negative monday returns using the standard and poor s composite index and gibbons and hess 7 find negative monday returns for the 30 individual stocks of the dow jones industrial index 1 this negative monday return or weekend effect has yet to be explained this study undertakes a further investigation of the weekend effect in stock returns we examine additional time periods extending the total period covered to 55 years we examine additional stocks such as those of small low capitalization firms and those traded over the counter in all cases the data exhibit a weekend effect that is at least as strong as that reported in previous studies the study also readdresses potential explanations for the effect such as measurement error but concludes that none of these explanations is satisfactory the first section presents a history of the weekend effect from 1928 through 1982 based on the standard and poor s composite index we essentially double the length of the period beginning in 1953 examined by french 6 the results indicate consistently negative monday returns throughout the 55 year period during much of the 25 year period from 1928 through 1952 the new york stock exchange was open on saturdays so monday s return is then computed from saturday s close to monday s close 2 these returns for one day weekends are consistently negative and not significantly different from the two day weekend

government intervention and strategic trading in the u s treasury market we study the impact of permanent open market operations pomos by the federal reserve on u s treasury market liquidity using a parsimonious model of speculative trading we conjecture that i this form of government intervention improves market liquidity contrary to conclusions drawn by existing literature and ii the extent of this improvement depends on the market s information environment evidence from a novel sample of federal reserve pomos during the 2000s indicates that bid ask spreads of on the run treasury securities decline when pomos are executed by an amount increasing in proxies for information heterogeneity among speculators fundamental volatility and pomo policy uncertainty consistent with our model

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

liquidity surprise volume and return premia in the oil market abstract we investigate oil market price dynamics in the context of the mixture of distributions hypothesis mdh our econometric model addresses autoregressive properties in returns the impact of surprise volume and conditional oil market return volatility as well as oil market liquidity in the conditional return equation surprise volume as a proxy of private information flow is shown to be unrelated to a set of standard market liquidity proxies oil return heteroscedasticity is found to be partly explained by surprise volume a finding that is consistent with the mdh our findings further show that both oil market liquidity as well as surprise volume shocks are priced in the oil market as such lower levels of lagged market liquidity relate to above average conditional returns surprise volume shocks are associated with lower conditional oil market returns jointly with higher contemporaneous conditional return volatility lagged market liquidity dominates conditional volatility in predicting conditional oil price returns

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

market crashes and informational avalanches this paper analyses a security market with transaction costs and a sequential trading structure transaction costs may prevent many traders from revealing their private information if they trade in a sequential fashion due to the information aggregation failure hidden information gets accumulated in the market which may be revealed by a small trigger yielding a high volatility in the absence of an accompanying event the paper first characterizes the optimal trading strategy of the agent which constitute the unique equilibrium further properties of the price sequence are obtained using the concepts of informational cascade and informational avalanche the results are applied to the explanation of market crashes in particular the dynamics of market crashes are illustrated as evolving through the following four phases 1 boom 2 euphoria 3 trigger and 4 panic where the euphoria corresponds to the informational cascade and the panic corresponds to the informational avalanche

a study of automobile inventory investment the volatile fluctuations in automobile inventory levels are explained well by the stock adjustment model estimated in this paper on monthly time series data in contrast to the findings of most previous inventory studies fluctuations in financial inventory carrying costs as measured by a service cost of capital are found to influence the target auto stocks in both a statistically significant and economically important manner also the speed of adjustment of automobile inventories to their target level is estimated to be relatively fast about thirty percent per month

the informational role of stock and option volume this article analyzes the intraday interdependence of order flows and price movements for actively traded nyse stocks and their chicago board options exchange cboe traded options stock net trade volume buyer initiated volume minus seller initiated volume has strong predictive ability for stock and option quote revisions but option net trade volume has no incremental predictive ability this suggests that informed investors initiate trades in the stock market but not in the option market on the other hand both stock and option quote revisions have predictive ability for each other thus while information in the stock market is contained in both quote revisions and trades information in the option market is contained only in quote revisions copyright 2002 oxford university press

liquidity provision and the organizational form of nyse specialist firms we examine the influence of nyse specialist firm organizational form on the nature of liquidity provision we compare closely held firms whose specialists provide liquidity with their own capital to widely held firms whose specialists provide liquidity with diffusely owned capital we argue that specialists using their own capital have a greater incentive and ability to reduce adverse selection costs but face a greater cost of capital differences in the proportion of spreads due to adverse selection costs large trade frequency the sensitivity between depth and spreads and price stabilization support this argument recent studies by cao choe and hatheway 1997 and corwin 1999a document differences across specialist firms in execution costs trading halts due to order imbalances and market stabilization why these differences in liquidity provision exist however is not well understood we argue that differences in liquidity provision arise from differences in specialist firm organizational form firms that make markets with capital supplied by their specialists owner specialist firms offer economies with respect to asymmetric information costs while firms that make markets with diffusely owned capital employee specialist firms offer economies with respect to capital costs our empirical results support this argument since march 1997 the nyse has allowed listing firms to choose which specialist firm handles their stock from a pool provided by the nyse allocations committee new york stock exchange 1997 like the choice of debt dividend or compensation policies the choice of a specialist firm po

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

the impact of trades on daily volatility this article proposes a trading based explanation for the asymmetric effect in daily volatility of individual stock returns previous studies propose two major hypotheses for this phenomenon leverage effect and time varying expected returns however leverage has no impact on asymmetric volatility at the daily frequency and moreover we observe asymmetric volatility for stocks with no leverage also expected returns may vary with the business cycle that is at a lower than daily frequency trading activity of contrarian and herding investors has a robust effect on the relationship between daily volatility and lagged return consistent with the predictions of the rational expectation models the non informational liquidity driven herding trades increase volatility following stock price declines and the informed contrarian trades reduce volatility following stock price increases the results are robust to different measures of volatility and trading activity jel c30 g11 g12 stock return volatility is fundamental to finance contingent claims pricing risk management asset allocation and market efficiency tests use volatility as a basic building block consequently volatility has been widely studied along several dimensions volatility clustering in financial data has been well documented and extensively modeled by the autoregressive conditional heteroskedasticity arch of engle 1982 and the generalized arch extension of bollerslev 1986 1 shiller 1981 leroy and porter 1981 roll 1984 1988 french and roll 1986 and cutler poterba and summers 1989 have all documented a significant amount of volatility that cannot be explained by changes in fundamentals and thus may be attributable to mispricing schwert 1989 has studied the variation in stock market volatility over time and has analyzed the

optimal liquidation strategies and their implications abstract this paper studies optimal liquidation when the selling price depends on the rate of liquidation transaction time volume and the asset s intrinsic value a generic closed form solution for maximizing the discounted liquidation proceeds is derived to obtain financial insights three parametric specifications that proxy for increasingly realistic market conditions are examined in our framework maximizing liquidation proceeds and minimizing liquidity costs are equivalent the optimal strategies imply more rapid liquidations in less liquid markets we also show that volatility is stochastic when market liquidity is unpredictable

macroeconomic news order flows and exchange rates under rational expectations and efficient markets the news contained in public information announcements is directly impounded into prices with there being no role for trades in this process of information assimilation this paper directly tests this assertion using transaction level exchange rate data and a sample of scheduled macroeconomic announcements the main result of the paper is that even information that is publicly and simultaneously released to all market participants is largely impounded into prices via the key micro level price determinant order flow we quantify the role that order flow plays and find that between a half and two thirds of price relevant information is incorporated into prices via the trading process

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

price and trading volume reaction surrounding earnings announcements a closer examination the process of information dissemination and interpretation in securities markets is very complex and mostly unobservable while changes in prices and the amount of trading that takes place at the market level provide evidence of information processing verrecchia 1981 demonstrated that these are not sufficient to describe completely the dissemination of information and its interpretation by investors a descriptive study of price changes and trading volume however may still provide some insights into how investors react to information this paper is an empirical investigation of price changes and trading volume during the days surrounding the announcement of quarterly and annual earnings in the wall street journal wsj in the original paper investigating trading volume and price changes surrounding earnings announcements beaver 1968 was primarily concerned with whether the annual earnings announcement had information content i e led to changes in investors assessments of the probability distribution of future returns if there were any significant price changes and or trading volume during the week of the announcement then the annual earnings announcement was assumed to have had

a discrete state continuous time model of financial transactions prices and times financial transaction prices typically lie on a discrete grid of values and arrive at random times this paper proposes an econometric model with this structure the distribution of each price change is a multinomial conditional on past information and the time interval between the transactions the proposed autoregressive conditional multinomial acm model is not restricted to be markov or symmetric in response to shocks however such restrictions can be imposed the duration between trades is modeled as an autoregressive conditional duration acd model following engle and russell 1998 maximum likelihood estimation and testing procedures are developed the model is estimated with 12 months of tick data on a moderately frequently traded nyse stock airgas the preferred model is estimated with three lags for the acm model and two lags for the acd model both price returns and squared returns influence future durations and present and past durations affect price movements the model exhibits revers

investment in finished goods inventories an analysis of adjustment speeds it is well known that fluctuations in inventory investment are a major source of fluctuations in gross national product this has stimulated numerous empirical studies designed to understand the causes of changes in inventory investment these studies include those for example michael lovell that utilize a flexible accelerator model of inventory behavior as well as those for example david belsley that utilize the linear decision rule approach to optimal inventory holding the latter approach however can be interpreted in terms of a flexible accelerator model see j c r rowley and p k trivedi for a survey of the literature recently several authors for example martin feldstein and alan auerbach observed that these studies yield very implausible empirical results the basic difficulty is that the estimates of the speed with which firms close gaps between desired and actual inventory stocks are very low often the estimated speed of adjustment is less than 10 percent per quarter as feldstein and auerbach stress this is extremely implausible when even the largest swings in inventories in a given quarter amount to less than one day s production the purpose of this paper is to undertake an analysis of adjustment speeds for finished goods inventory investment in our empirical work we utilize a modified flexible accelerator model of inventory investment 1 like the conventional flexible accelerator the model permits firms to close a fraction of the gap between desired and actual inventories in any period the relevant fraction is of course the adjustment coefficient and it may vary in principle between zero and unity our model differs from the conventional model in assuming that the desired stock of finished goods inventories depends on the normal levels of exogenous variables that firms must forecast to make decisions on inventory holdings these include not only the normal level or orders or demand which is a standard explanatory variable in the empirical literature but also the normal levels of real factor input prices and real interest rates in addition we permit the normal levels to change relatively slowly in response to changes in past levels of orders real factor input prices and real interest rates our objective is to investigate whether the slow adjustment speeds that have been estimated in the literature are due to the use of models which contain an incomplete menu of exogenous variables to determine desired inventories and pay inadequate attention to lags in the adjustment of normal levels of exogenous variables

block trading and information revelation around quarterly earnings announcements the author investigate the empirical importance of information revelation in the pricing of block trades in particular he examine whether block prices are correlated with the unexpected part of firms quarterly earnings for his sample of block trades information revelation does indeed appear to be a significant factor shortly before earnings announcements article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

why markets should not necessarily reduce the tick size abstract this paper studies the consequences of a tick size change on the paris bourse thus providing a natural experiment on an order driven market the change raised the tick size for some stocks and lowered it for other in contrast with us exchanges results this generated neither a reduction in liquidity provision for large trades nor a change in the spread based on this paper and on us results it appears an increasing but convex relationship between the relative tick size and the relative spread thus it implies that a new pricing grid does not necessarily lead to change execution costs but it changes the level of transparency in the liquidity supply

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

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

volatility volume causality across single stock spot futures markets in india abstractthis study examines the causal relationships between volatility and volume across spot and futures market for the 50 constituent stocks of the cnx nifty index granger non causality tests implemented using vector autoregression var and asymmetric var models indicate the presence of significant causal relations from both the spot and futures volume to both the spot and futures volatility bidirectional causal relationships between spot and futures volume were observed for almost all stocks but few stocks displayed a similar relationship between volatilities the results highlight the importance of volume in absorbing information and its behaviour as the conduit of information

an empirical analysis of stock and bond market liquidity this article explores cross market liquidity dynamics by estimating a vector autoregressive model for liquidity bid ask spread and depth returns volatility and order flow in the stock and treasury bond markets innovations to stock and bond market liquidity and volatility are significantly correlated implying that common factors drive liquidity and volatility in these markets volatility shocks are informative in predicting shifts in liquidity during crisis periods monetary expansions are associated with increased liquidity moreover money flows to government bond funds forecast bond market liquidity the results establish a link between macro liquidity or money flows and micro or transactions liquidity a number of important theorems in finance rely on the ability of investors to trade any amount of a security without affecting the price however there exist several frictions 1 such as trading costs short sale restrictions and circuit breakers that impact price formation the influence of market imperfections on security pricing has long been recognized liquidity in particular has attracted a lot of attention from traders regulators

long lived private information and imperfect competition we develop a multi period auction model in which multiple privately informed agents strategically exploit their long lived information we show that such traders compete aggressively and cause most of their common private information to be revealed very rapidly in the limit as the interval between auctions approaches zero market depth becomes infinite and all private information is revealed immediately these results are in contrast to those of kyle 1985 in which the monopolistic informed trader causes his information to be incorporated into prices gradually and when the interval between auctions is vanishingly small market depth is constant over time fama 1970 defines a strong form efficient market as one in which security prices fully reflect all available information including both publicly and privately held information in a pioneering and influential article kyle 1985 develops a model in which a single privately informed trader with long lived information optimally exploits his monopoly power over time kyle s 1985 main results are i the informed trader trades in a gradual manner so that his information is incorporated into prices at a slow almost linear rate and ii when auctions are held continuously the depth of the market is constant over time however kyle s 1985 assumption of a single informed trader is strong in the sense that in actual financial markets it is reasonable to expect that at least a few players will have access to private information and will trade in the knowledge that they will face competition with other informed agents in the market 1 we develop a multi period auction model in which multiple strategic informed traders optimally exploit their long lived informational advantage we thus explore the restrictiveness of kyle s assumption of a single informed trader and also examine

a model of target inventory and markup with empirical testing using automobile industry data abstract this paper presents and tests empirically using automobile industry data a model of markup pricing based on target inventory sales lag the firm chooses target inventory together with selling price so as to maximize average per unit time profit the optimization yields a markup over direct costs equal to the inverse of the price elasticity of the sales time for the firm s inventory 1 econometric estimates of 1 for general motors ford and chrysler are compared with true markups for each firm the empirical estimates obtained for 1 are not significantly different from true markups in a statistical sense evidence that the model is compatible with the data

trade size order imbalance and the volatility volume relation abstract this paper examines the roles of the number of trades size of trades and order imbalance buyer versus seller initiated trades in explaining the volatility volume relation for a sample of nyse and nasdaq stocks our results reconfirm the significance of the size of trades beyond that of the number of trades in the volatility volume relation on both markets after controlling for the return impact of order imbalance the volatility volume relation becomes much weaker for nyse stocks the order imbalance in large trade size categories affects the return more than in smaller size categories for nasdaq stocks the largest return impact comes from the order imbalance in maximum sized small order execution system soes trades

pure jump levy processes for asset price modelling abstract the goal of the paper is to show that some types of levy processes such as the hyperbolic motion and the cgmy are particularly suitable for asset price modelling and option pricing we wish to review some fundamental mathematic properties of levy distributions such as the one of infinite divisibility and how they translate observed features of asset price returns we explain how these processes are related to brownian motion the central process in finance through stochastic time changes which can in turn be interpreted as a measure of the economic activity lastly we focus on two particular classes of pure jump levy processes the generalized hyperbolic model and the cgmy models and report on the goodness of fit obtained both on stock prices and option prices

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

can the production smoothing model of inventory behavior be saved the production smoothing model of inventory behavior has a long and venerable history and theoretical foundations that seem very strong yet certain overwhelming facts seem not only to defy explanation within the production smoothing framework but actually to argue that the basic idea of production smoothing is all wrong most prominent among these is the fact that the variance of detrended production exceeds the variance of detrended sales this paper first documents the stylized facts then it derives the production smoothing model rigorously and explains how the model can be amended to make it consistent with the facts finally it reviews the theoretical and empirical evidence and tries to draw some tentative conclusions

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

does fomc news increase global fx trading does global currency volume increase on federal open market committee fomc days to test hypotheses of abnormal currency volume on fomc days a new data set from the continuous linked settlement cls bank is used the cls measure captures more than half of the global trading volume in foreign exchange fx markets the evidence shows that fx trading volume increases about 5 in the spot and the spot next market following fomc deliberations the novelty of this result is that the aggregated cls data controls for responses in various derivatives markets a feature that existing studies based on intradaily data for specific trading platforms do not consider