relative trading volume risk measures and other firm characteristics during the market crash abstract the crash of 1987 led to significant increases in the trading volume in the n y s e the paper uses individual data of 473 s p 500 firms to analyze the relation between said increases in trading volume and firm and security characteristics

information precision transaction costs and trading volume abstract most theoretical models of trade pfleiderer 1984 grundy and mcnichols 1989 holthausen and verrecchia 1990 kim and verrecchia 1991 blume et al 1994 imply that the trading volume prompted by a public announcement is positively related to the announcement s precision relying upon this notion empirical researchers interpret high trading volume as an indication that an announcement is highly informative we argue that such interpretations are not in general correct in a world with transaction costs the relation between information precision and trading volume is ambiguous and can be negative this explains why in empirical tests using data from actual markets the relation between announcement precision and trading volume is not monotonically positive even though in laboratory experiments it is our results imply that trading volume reactions to public announcements are most sensitive to announcement precision among low transaction cost securities and in low cost trading regimes

on the relationship between volume reaction and consensus of investors implications for interpreting tests of information content associate professor university of chicago i gratefully acknowledge the generous assistance of nicholas dopuch and richard leftwich in the preparation and editing of this manuscript as well as comments and suggestions offered by the ohio state accounting colloquium i also acknowledge earlier correspondence with nils hakansson concerning the proof employed in this paper and jerold zimmerman concerning the issue of volume reaction any remaining errors are solely my responsibility accepted for publication july 1980 this is somewhat in contrast to discussion of the relationship between volume reaction and information when the information is distributed asymmetrically among investors copeland 1976 for example discusses a sequential information arrival model in which an element of information is disclosed at no cost to homogeneous traders one at a time during a trading period morse 1979 surveys more recent work on the effect of asymmetrically distributed information however information which is distributed asymmetrically is fundamentally different from information which is made publicly available in the former situation trading occurs because one group of investors has access to information not available to some other group whereas in the latter situation trading occurs despite the fact that all investors come to know the information simultaneously

the behavior of option price around large block transactions in the underlying security this paper investigates the behavior of stock and option prices around block trades in stocks the results indicate that for both uptick and downtick block trades the stock prices adjust within a fifteen minute period after the block trade moreover for uptick blocks there is no evidence of any stock price reaction before the block trade however the adjustment of stock price for downtick blocks begins about fifteen minutes before the block trade we also find that option price behavior differs considerably from stock price behavior specifically our results suggest that options exhibit abnormal price behavior starting thirty minutes before the block and ending one hour after the block the pattern is more pronounced for downtick blocks and for put options we interpret this abnormal price behavior of options before the block trade as consistent with intermarket frontrunning this paper compares the price effect of block transactions in the stock market with the price effect in the derivative options market the analysis is motivated by the suggestion in the literature that options provide a superior investment vehicle because of their inherent leverage and lower transaction costs and because of their ability to avoid stock market restrictions on short sales this implies that informed investors may prefer to trade in options thereby causing the option market to lead the stock market

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

does the better than average effect show that people are overconfident two experiments we conduct two experimental tests of the claim that people are overconfident using new tests of overplacement that are based on a formal bayesian model our two experiments on easy quizzes find that people overplace themselves more precisely we find apparently overconfident data that cannot be accounted for by a rational population of expected utility maximizers who care only about money the finding represents new evidence of overconfidence that is robust to the bayesian critique offered by benoit and dubra jean pierre benoit and juan dubra 2011 apparent overconfidence econometrica 79 1591 1625 we discuss possible limitations of our results

a theory of trading volume a theory of trading volume is developed based on assumptions that market agents frequently revise their demand prices and randomly encounter potential trading partners the model describes two distinct ways informational events affect trading volume one is consistent with conjectures made by empirical researchers that investor disagreement leads to increased trading but the observation of abnormal trading volume does not necessarily imply disagreement and volume can increase even if investors interpret the information identically if they also have had divergent prior expectations simulation tests support the model and are used to contrast the random pairing environment with costless market clearing volume is lower in the costly market and volume increases caused by an informational event persist after the event period this is consistent with existing empirical evidence and suggests that markets do not immediately clear all orders or that investors have demands to recontract

growth forecasts belief manipulation and capital markets abstract we analyze how a benevolent privately informed government agency would optimally release information about the economy s growth rate when the agents hold heterogeneous beliefs we model two types of agent conforming and dissenting the former has a prior that is identical to that of the government agency whereas the latter has a prior that differs from that of the government agency we identify both informative and uninformative equilibria informative equilibria are equilibria in which the government agency s equilibrium signal leads to a revision of beliefs we demonstrate that the uninformative equilibria can in fact dominate the informative ones in terms of ex post social welfare

moral hazard and the portfolio management problem this paper investigates the significance of nonlinear contracts on the incentive for portfolio managers to collect information in addition the manager must be motivated to disclose this information truthfully we analyze three contracting regimes 1 first best where effort is observable 2 linear with unobservable effort and 3 the optimal contract within the bhattacharya pfleiderer quadratic class we find that the linear contract leads to a serious lack of effort expenditure by the manager this underinvestment problem can be successfully overcome through the use of quadratic contracts these contracts are shown to be asymptotically optimal for very risk tolerant principals

the interrelation of stock and options market trading volume data this research empirically investigates the relation between common stock and call option trading volumes the paper hyothesizes and tests a sequential flow of information between the stock and option markets if information trading for cboe listed firms is predominantly accomplished through option trading then existing research methodologies may be biased against finding any significant economic consequences in those instances where option listing is an important variable results indicate that trading in call options leads trading in the underlying shares with a one day lag black 2 suggests that information traders may prefer trading in options rather than shares due to economic incentives provided by reduced transaction costs capital requirements and trading restrictions and due to the greater action afforded by option trading manaster and rendleman 12 empirically support black s 2 option information trading preference finding incremental information content in option prices up to twenty four hours prior to its reflection in stock prices jennings and starks 10 report that the stock price adjustment process upon arrival of new information differs for those firms listed on the chicago board option exchange cboe and they demonstrate that stock price adjustment to new information occurs more rapidly for firms with listed call options the results in both papers appear to warrant consideration of an optiontrading variable in the design of empirical tests both manaster and rendleman 12 and jennings and starks 10 investigate the price relation between shares and call options this paper investigates trading volume copeland 4 posits the use of trading volume as a proxy for the rate of information arrival he concludes that the relation between absolute value of price changes and volume is positive and linear if one accepts a sequentialinformation arrival hypothesis as valid the present research hypothesizes and tests a sequential flow of information between the stock and option markets analyses presented are based on econometric tests for causality1 derived from the works of granger 6 and sims 22 if information trading takes place

market based empirical research in accounting a review interpretation and extension a decade and a half of the most concerted and ambitious research effort in accounting history is evaluated here it is the search into the relationship between publicly disclosed accounting information and the consequences of the use of this information by the major group of usersequity investors as such consequences are reflected in characteristics of common stocks traded in major exchanges this research effort known as market based accounting research mbar obtained its impetus from major developments in finance theory during the late 1950s and early 1960s these were the portfolio selection theory and its offspring the capital asset pricing model capm and the concept of informationally efficient capital markets ecm subsequent developments in information economics agency theory and optimal incentive signaling models were quickly incorporated into mbar while the impetus to this line of research came from other disciplines accounting was not only a beneficiary but also to a modest extent a benefactor mbar is relevant to the study of capital market efficiency the capm information economics and regulation this contribution distinguishes mbar from most accounting areas whose contributions to other disciplines are negligible in

option prices as predictors of equilibrium stock prices the black scholes option pricing model modified for dividend payments is used to calculate jointly implied stock prices and implied standard deviations a comparison of the implied stock prices with observed stock prices reveals that the implied prices contain information regarding equilibrium stock prices that is not fully reflected in observed stock prices the implications of this finding are discussed this study investigates the role of call option prices as predictors of the equilibrium prices of their underlying stocks using the black scholes 3 bs model previous tests of the bs model have shown that the formula is highly successful in explaining the observed market prices of options see black and scholes 2 galai 8 chiras and manaster 6 and macbeth and merville 12 according to the model the option price is a function of the current value of the underlying stock the instantaneous variance of the stock s rate of return the time to maturity of the option the risk free rate of interest and the exercise price of the option 1 given an observed option price and known values of all input parameters to the bs model except the stock price one can determine the price of the underlying stock that equates the observed option price to its calculated value it follows from the underlying logic of the model that the implied price is the value of the underlying stock for which a continuously revised option bond portfolio would be a perfect substitute for the stock hence if options are actually priced according to the model implied stock prices will be the option market s assessment of equilibrium stock values previous empirical studies have assumed that observed stock prices are the relevant stock prices for option valuation however just as stock prices may differ in the short run from one exchange to another i e nyse midwest

does anticipated information impose a cost on risk averse investors a test of the hirshleifer effect this paper theoretically and empirically investigates how the risk of future adverse price changes created by the anticipated arrival of information influences risk averse investors trading decisions in institutionally imperfect capital markets specifically i examine how the selling activity of individual investors immediately following an earnings announcement is influenced by the tradeoff between risk sharing benefits of immediate trade and explicit transaction costs imposed on such trades consistent with my theoretically derived predictions i find that investors current trading decisions are less sensitive to the incremental transaction costs created by short term capital gains taxes on trading profits as both the duration and intensity of the risk of future adverse price changes increase this evidence is consistent with an incremental cost to investors that results from the revelation of precise information which is commonly referred to as the hirshleifer effect

option pricing and replication with transaction costs and dividends abstract this paper derives optimal perfect hedging portfolios in the presence of transaction costs within the binomial model of stock returns for a market maker that establishes bid and ask prices for american call options on stocks paying dividends prior to expiration it is shown that while the option holder s optimal exercise policy at the ex dividend date varies according to the stock price there are intervals of values for such a price where the optimal policy would depend on the holder s preferences nonetheless the perfect hedging assumption still allows the derivation of optimal hedging portfolios for both long and short positions of a market maker on the option

the interaction between trading volume of stocks and options some statistical evidence abstract the finance literature provides several examples of research into the interaction between stock and option prices this paper examines the feedback hypothesis for trading volume on the amsterdam stock and options markets using a generalized granger sims framework the most important finding of this paper is that very often causality runs from options trade to the stock market which seems to support the feeling of the business profession and the main hypothesis of this paper statistically it is interesting that the results indicate very convincingly that the relations reveal no stability over time jel c13 c52

option replication in discrete time with transaction costs option replication is discussed in a discrete time framework with transaction costs the model represents an extension of the cox ross rubinstein binomial option pricing model to cover the case of proportional transaction costs the method proceeds by constructing the appropriate replicating portfolio at each trading interval numerical values of these prices are presented for a range of parameter values the paper derives a simple black scholes type approximation for the option prices with transaction costs and demonstrates numerically that it is quite accurate for plausible parameter values

sufficient conditions for public information to have social value in a production and exchange economy conditions are derived under which all consumers in a production and exchange economy will prefer at least weakly disclosure of public information to no such disclosure the conditions involve consumer endowments the allocative efficiency of the financial market and value maximizing behavior by firms cases exist where consumers will prefer disclosure of public information in a production and exchange economy although they would be indifferent to such disclosure in an otherwise similar pure exchange economy the difference in results is due purely to the fact that in production and exchange economies information may be used to reallocate resources across time and firms thus highlighting the fundamental difference between the role of information in pure exchange and in production and exchange economies

open interest in stock options around quarterly earnings announcements in this paper i document the behavior of open interest in listed stock options around quarterly earnings announcements using pooled timeseries cross section regressions i find a significant decline in open interest prior to announcements this behavior cannot be explained by the reactions of investors to good and bad news i also find in several separate regressions that open interest behaves differently for options whose values are most sensitive to changes in stock volatility suggesting the behavior of open interest is correlated with recently documented temporary increases in the volatility of stock returns around announcement dates many studies based on the volume and price behavior of equities have confirmed that investors respond to public announcements thought to contain information interpreting those responses is a more difficult task for example while beaver 1968 has argued that consensus among investors is an important factor in investor responses others have shown that it is not possible to make unambiguous inferences about consensus by examining price and volume alone see miller 1977 verrecchia 1981 and karpoff 1986

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

an empirical examination of information differences of opinion and trading activity abstract we investigate the relations between trading volumes and our proxies for information flows and divergences in opinions we view s p 500 index futures open interest as a useful proxy for divergences of traders opinions and find that volumes are higher on days when open interest increases than on days with declines volume in individual equities is more closely related to firm specific information flows while equity basket volume is more closely associated with market information this differential impact is greatest for small capitalization stocks where market wide news has no explanatory power

trading volume and cross autocorrelations in stock returns this paper finds that trading volume is a significant determinant of the lead lag patterns observed in stock returns daily and weekly returns on high volume portfolios lead returns on low volume portfolios controlling for firm size nonsynchronous trading or low volume portfolio autocorrelations cannot explain these findings these patterns arise because returns on low volume portfolios respond more slowly to information in market returns the speed of adjustment of individual stocks confirms these findings overall the results indicate that differential speed of adjustment to information is a significant source of the cross autocorrelation patterns in short horizon stock returns both academics and practitioners have long been interested in the role played by trading volume in predicting future stock returns 1 in this paper we examine the interaction between trading volume and the predictability of short horizon stock returns specifically that due to lead lag cross autocorrelations in stock returns our investigation indicates that trading volume is a significant determinant of the cross autocorrelation patterns in stock returns 2 we find that daily or weekly returns of stocks with high trading volume lead daily or weekly returns of stocks with low trading volume additional tests indicate that this effect is related to the tendency of high volume stocks to respond rapidly and low volume stocks to respond slowly to marketwide information

judgmental overconfidence and trading activity abstract we investigate the theoretically proposed link between judgmental overconfidence and trading activity in addition to applying classical measures of miscalibration we introduce a measure to capture misperception of signal reliability which is the relevant bias in the theoretical overconfidence literature we relate the obtained overconfidence measures to trading activity in call and continuous experimental asset markets our results confirm prior findings that classical miscalibration measures are not related to trading activity misperception of signal reliability is positively related to trading volume in the continuous market for one of two treatments in the other one no relation is found except that highly overconfident subjects trade less in addition we find that men trade more than women at high levels of risk aversion but the gender trading gap vanishes as risk aversion lessens the reason is that the trading activity of women seems to be more sensitive to risk attitudes than that of men

option volume and stock prices evidence on where informed traders trade this paper investigates the informational role of transactions volume in options markets we develop an asymmetric information model in which informed traders may trade in option or equity markets we show conditions under which informed traders trade options and we investigate the implications of this for the linkage between markets our model predicts an important informational role for the volume of particular types of option trades we empirically test our model s hypotheses with intraday option data our main empirical result is that negative and positive option volumes contain information about future stock prices the information content of trading activity is a subject of widespread interest if trades are correlated with private information then the outcome of the transaction process may portend future movements in price the extension of trading to different venues or to derivative instruments however means that this link between transactions and information need not be easily discernible if there are alternative markets in which informed traders can profit from their information then where informed traders choose to trade may have important implications not only for security p rice movements but for the behavior of related prices as well this suggests that transactions in derivative markets may be an important predictor of future security price movements in this paper we investigate the informational role of transactions volume in options markets for some readers this focus may seem puzzling an option is a derivative security so its price should be dictated unilaterally by the behavior of the stock price this unidirectional linkage is only true however in complete markets if information is impounded into prices by trading then the ability of informed traders to transact in options markets mearns

judgemental overconfidence self monitoring and trading performance in an experimental financial market we measure the degree of overconfidence in judgment in the form of miscalibration i e the tendency to overestimate the precision of one s information and self monitoring a form of attentiveness to social cues of 245 participants and also observe their behaviour in an experimental financial market under asymmetric information miscalibrated traders underestimating the conditional uncertainty about the asset value are expected to be especially vulnerable to the winner s curse high self monitors are expected to behave strategically and achieve superior results our empirical results show that miscalibration reduces and self monitoring enhances trading performance the effect of the psychological variables is strong for men but non existent for women

modeling and measuring intraday overreaction of stock prices abstract we introduce a model for stock prices consisting of a fundamental price process and a news impact curve which allows for either overreaction underreaction or correct response to changes of the fundamental value we further develop statistics based on ohlc data which separately measure upside and downside overreaction the distribution of these statistics under the hypothesis of correct response and fundamental prices following brownian motions is used to derive tests for upside and downside overreaction we show that more realistic and frequently used fundamental price processes with correct response leave the distribution of the test statistics widely unaffected or lead to conservative tests empirical application to different stock markets provides strong evidence for intraday overreaction particularly to bad news the economic significance of the discrimination induced by the proposed statistics is further illustrated by analyzing the performance of a simple buy on bad news strategy

the value of information in efficient risk sharing arrangements suppose that agents share risks in competitive markets we show that better information makes everyone worse off if the economy has a representative agent that is the economy s demand for state contingent consumption equals the demand of a hypothetical agent who owns all the economy s wealth the representative agent moreover is normatively unrepresentative although each agent dislikes information the representative agent is indifferent although we emphasize pure exchange our results imply that a representative agent model might seriously misstate the welfare effects of improved information in an economy with production and risk sharing even if it performs well otherwise

trading volume definitions data analysis and implications of portfolio theory we examine the implications of portfolio theory for the cross sectional behavior of equity trading volume two fund separation theorems suggest a natural definition for trading activity share turnover if two fund separation holds share turnover must be identical for all securities if k 1 fund separation holds we show that turnover satisfies an approximately linear k factor structure these implications are examined empirically using individual weekly turnover data for nyse and amex securities from 1962 to 1996 we find strong evidence against two fund separation and a principal components decomposition suggests that turnover is well approximated by a two factor linear model if price and quantity are the fundamental building blocks of any theory of market interactions the importance of trading volume in modeling asset markets is clear although most models of asset markets have focused on the behavior of returns predictability variability and information content their implications for trading volume have received far less attention in this article we derive the implications of various asset market models for volume and quantify their importance using recently available volume data for individual securities from the center for research in security prices crsp although the volume literature is voluminous 1 we hope to add to this literature in two ways first we develop the volume implications of popular asset market models rather than construct more specialized and often stylized models to

the ex ante and ex post price effects of quarterly earnings announcements reflected in option and stock prices the subject of this study is the effect of investors anticipations of impending informative disclosures on the behavior of option and stock prices our approach introduced in a previous paper patell and wolfson 1979 and substantially extended here represents the following significant departure from traditional information content studies instead of analyzing security price reactions to announcements we analyze preannouncement option prices in order to discern investors beliefs about the range of possible stock price reactions expected to accompany a forthcoming disclosure whose actual content is not yet known in the tests reported here we focus on quarterly earnings announcements as disclosure events whose timing is predictable and we attempt to detect their systematic influence on the relationship between stock and option prices our operational definition of information content emphasizes changes in the variability of common stock returns in response to earnings disclosures while market efficiency precludes investors from predicting the direction of the stock price change which will accompany a future earnings announcement it is likely that investors will anticipate increased price variability at the time of disclosure and indeed several studies have documented announcement date increases in stock price volatility

a characterization of the daily and intraday behavior of returns on options the daily and intraday behavior of returns on chicago board options exchange options is examined option returns contain systematic patterns even after adjusting for patterns in the means and variances of the underlying assets this is consistent with the hypothesis that informed trading in options can make the order flow in the options market informative about the value of the underlying asset making options nonredundant the intraday patterns in adjusted option return variances are further consistent with a model of strategic trading by informed and discretionary liquidity traders this paper examines the daily and intraday behavior of returns on options we have two goals our first objective is to identify systematic patterns in the means and variances of daily and intraday returns on options our second objective is to decompose option returns into patterns that are related to the means and variances of the underlying stocks and by inference those patterns that are independent of patterns in the means and variances of the underlying assets 1 our work is important for a number of reasons first options have become as important as common stocks yet there is no detailed investigation of the behavior of returns on options second it is important to identify similarities and differences in return patterns across different securities and market structures an understanding of these similarities and differences would allow us to develop better models of returns that capture these properties closely related to this it is instructive to examine option returns in light of the partial equilibrium models we use to value them specifically are the return patterns in options driven exclusively by the underlying stocks or do option returns contain patterns of their own identifying independent yet similar patterns in options returns may lead to an identification of factors that are common across two different market structures the new york

why option prices lag stock prices a trading based explanation while many studies find that option prices lead stock prices stephan and wvhaley 1990 find that stocks lead options we find no evidence that options even deep out of the money options lead stocks after confirming stephan and whaley s results we show their results can be explained as spurious leads induced by infrequent trading of options we show that the stock lead disappears when the average of the bid and ask prices is used instead of transaction prices hence we find no evidence of arbitrage opportunities associated with the stock lead in a perfect market price discrepancies should be instantly arbitraged away in particular option prices should neither lead nor lag stock prices in real markets only very short leads should occur traders with private information who are confident that their information is valid and that they will not be detected generally want highly leveraged positions to exploit their advantage thus we might expect options with their greater leverage to lead stocks if information trading is important manaster and rendleman 1982 bhattacharya 1987 and anthony 1988 find evidence that options

earnings announcements stock price adjustment and the existence of option markets this paper employs a new approach to study the effects of option trading on the behavior of underlying stock prices extant research compares distributional properties of the stock price at two points in time divided by an event in the option market that might affect price behavior as an alternative we examine the stock price adjustment to the release of quarterly earnings using samples of firms with and without listed options we find the two samples exhibit different adjustment processes with the nonoption firms requiring substantially more time to adjust since the advent of organized stock option trading the investment community

a note on the convergence of binomial pricing and compound option models the binomial pricing model of cox ross and rubinstein 2 and the compound option model of geske 3 are both elegant and self contained frameworks for the valuation of american options and related contingent claims each providing us with a distinctive valuation procedure flexible enough to be adapted to a wide variety of problems for american type options on assets with a prices following a lognormal diffusion process and b a continuous time exercise policy such as put options on individual stocks calls and puts on foreign exchange and calls and puts on futures contracts the binomial pricing model approximates both the stochastic process and the exercise opportunity set the latter by restricting exercise to a discrete set of dates the compound option model on the other hand approximates only the exercise opportunity set however it pays for this with a high price in computational requirements specifically with n exercise dates allowed multivariate normal probabilities of every order up to and including n must be evaluated in their article on the valuation of put options geske and johnson 4 provide an ingenious solution to this problem by applying acceleration techniques common in numerical analysis but new to the finance literature letting t be the time to expiration of the option and p the value of a compound option with exercise permitted at the n uniformly spaced dates t n 2t n t they generate the sequence of compound option values p1 p2 pn polynomial extrapolation is then used to estimate p lim n x oo pn they found this procedure to be very accurate over a limited sample of put options with low values of n though not discussed by geske and johnson the reasons for the effectiveness of acceleration techniques in a compound option model are apparent from a cursory examination an acceleration technique will perform best when the approximating sequence converges uniformly on the true value of the contingent claim and worst when convergence includes complex and unpredictable oscilla

is there price discovery in equity options abstract we use tick by tick quote data for 39 liquid us stocks and options on them and we focus on events when the two markets disagree about the stock price in the sense that the option implied stock price obtained from the put call parity relation is inconsistent with the actual stock price option market quotes adjust to eliminate the disagreement while the stock market quotes behave normally as if there were no disagreement the disagreement events are typically precipitated by stock price movements and display signed option volume in the direction that tends to eliminate the disagreements these results show that option price quotes do not contain economically significant information about future stock prices beyond what is already reflected in current stock prices i e no economically significant price discovery occurs in the option market we also find no option market price discovery using a much larger sample of disagreement events based on a weaker definition of a disagreement which verifies that the findings for the primary sample are not due to unusual or unrepresentative market behavior during the put call parity violations

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

informational efficiency and welfare in the stock market abstract in an overlapping generations model each generation invests a given budget into a portfolio consisting of risky shares and a riskless asset in each period all agents receive information about the future dividends of the shares there is a unique stationary equilibrium this equilibrium is not constrained efficient in the sense that there exists a non market clearing share price such that all agents would be better off if the shares were exchanged at this price further for certain stochastic environments the public information is socially harmful and we derive a necessary and sufficient condition for this to occur

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

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

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

an exact solution to a dynamic portfolio choice problem under transactions costs the presence of any friction in financial markets qualitatively changes the nature of the optimization problem faced by an investor it requires one to either act or do nothing an issue which of course does not arise in frictionless situations the investor considered here accumulates wealth without consuming until some terminal point in time when he consumes all his objective is to maximize the expected utility derived from that terminal consumption we postpone the terminal point far into the future to obtain a stationary portfolio rule the portfolio policy is in the form of two control barriers between which portfolio proportions are allowed to fluctuate we show how to calculate them

testing for linear and nonlinear granger causality in the stock price volume relation linear and nonlinear granger causality tests are used to examine the dynamic relation between daily dow jones stock returns and percentage changes in new york stock exchange trading volume we find evidence of significant bidirectional nonlinear causality between returns and volume we also examine whether the nonlinear causality from volume to returns can be explained by volume serving as a proxy for information flow in the stochastic process generating stock return variance as suggested by clark s 1973 latent common factor model after controlling for volatility persistence in returns we continue to find evidence of nonlinear causality from volume to returns

price trends and patterns in technical analysis a theoretical and empirical examination while many technical trading rules are based upon patterns in asset prices we lack convincing explanations of how and why these patterns arise and why trading rules based on technical analysis are profitable this paper provides a model that explains the success of certain trading rules that are based on patterns in past prices we point to the importance of confirmation bias which has been shown to play a key role in other types of decision making traders who acquire information and trade on the basis of that information tend to bias their interpretation of subsequent information in the direction of their original view this produces autocorrelations and patterns of price movement that can predict future prices such as the head and shoulders and double top patterns the model also predicts that sequential price jumps for a particular stock will be positively autocorrelated we test this prediction and find that jumps exhibit statistically and economically significant positive autocorrelations

an integrated view of tests of rationality market efficiency and the short run neutrality of monetary policy abstract this paper analyzes an important class of models in which expectations play an important role topics included in the analysis are tests of 1 rationality of forecasts in either market or survey data 2 capital market efficiency 3 the short run neutrality of monetary policy and 4 granger causality in macroeconometric models the common elements of these tests are highlighted in particular cross equation tests for rationality or the short run neutrality of money are shown to be equivalent to more common regression tests in the literature these results demonstrate that the exact specification of the relevant information set used in rational forecasts is not necessary for the cross equation tests to have desirable asymptotic properties also discussed are the conditions for identification of coefficients and testability of hypotheses

on information dissemination and equilibrium asset prices a note previous analyses of market structures characterized by gradual information dissemination presume the equilibrium price existing after all market participants are informed is inde pendent of the order of information dissemination in these papers final market elearing price given the investors posterior beliefs is known a priori and is assumed to equal the price that would exist if data were disseminated simultaneously we demonstrate that final equilibrium price is dependent in general on the order of information dissemination this implies that if the dissemination sequence is stochastic price is unknown prior to the complete dissemination of information even if the investors posterior beliefs given the information event are known we derive a necessary and sufficient condition for equilib rium price to be independent of the dissemination sequence in our economy our analysis highlights the importance of the wealth redistribution dynamics inherent in the informa tion dissemination process

slow diffusion of information and price momentum in stocks evidence from options markets this paper investigates the source of price momentum in the stock market using information from options markets we provide direct evidence of the gradual information diffusion model in hong and stein 1999 momentum profits are larger for stocks whose information diffuses slowly into the stock market we exploit the options markets to identify stocks with slow information diffusion speed as informed traders trade options to realize the information that has not been fully incorporated in the stock price we are able to enhance the momentum strategy by selecting winner loser stocks with high growth large drop in call option implied volatility our empirical strategy generates a risk adjusted alpha of 1 8 per month over the 1996 2011 period during which the simple momentum strategy fails to perform the results are robust to the impact of earnings announcement transaction costs industry concentration and choice of options moneyness and time to maturity finally our finding is not driven by existing stock or option related characteristics that are known to improve momentum

central bank secrecy interest rates and monetary control we construct a dynamic rational expectations model of the federal funds and deposit market that provides a rationale for central bank secrecy about current monetary aggregate objectives in this analysis the trading desk values secrecy because it reduces the influence of monetary control policy on interest rates we then examine actual u s experience with monetary control and determine that the reserve bias predicted by the model is present in the data from 1978 to 1985 finally we demonstrate that central bank secrecy may not lower the value of commercial banks

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

derivatives traders reaction to mispricing in the underlying equity this article examines trading behavior in the options market conditioned on mispricing in the underlying stock we investigate the price equilibrium between the observed equity asset and the options implied synthetic share as well as the relative divergence between the two prices we find a consistently positive relation between the level of stock mispricing and violations of the upper boundary condition using derivatives along with an increase in price divergence to control for the effect of shorting limitations on mispricing we further examine prices during the short sale ban in 2008 the results hold and in many instances are more significant during the ban period given the persistent disequilibria between the synthetic and observed stock prices we argue the results are evidence of informed trading in the derivatives market

the role of consensus and disagreement in portfolio adjustment a trading volume approach abstract this paper shows that the diffusion of opinions slows down the portfolio adjustment a variance component model of trading volumes is used to analyze nyse and s p 100 index option trading volumes

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

sufficient and necessary conditions for information to have social value in pure exchange this paper extends corrects and unifies earlier statements concerning the social value of public information as well as the no trading conditions in pure exchange sufficient and necessary conditions are provided for both the single period and two period cases in a postsignal trading model the social value of information is shown to be closely linked to the allocational efficiency of the market the degree of homogeneity of prior beliefs and of information structures the time additivity of preferences and the efficiency of endowments we conclude that the case in favor of public information is much stronger than previously suggested

price adjustment delays and arbitrage costs evidence from the behavior of convertible preferred prices price adjustment delays occur between in the money convertible preferred stock prices and common stock prices convertible preferred prices systematically deviate from the prices predicted from their conversion relations with common stocks the price predictability stems from price changes in the underlying common stocks leading the price changes in the convertible preferred stocks by up to nine hours cross sectionally about 70 percent of the variation in the unsigned size of the price deviations is explained by proxies for costs of arbitrage

informed traders and limit order markets abstract we consider a dynamic limit order market in which traders optimally choose whether to acquire information about the asset and the type of order to submit we numerically solve for the equilibrium and demonstrate that the market is a volatility multiplier prices are more volatile than the fundamental value of the asset this effect increases when the fundamental value has high volatility and with asymmetric information across traders changes in the microstructure noise are negatively correlated with changes in the estimated fundamental value implying that asset betas estimated from high frequency data will be incorrect

option pricing and replication with transactions costs transactions costs invalidate the black scholes arbitrage argument for option pricing since continuous revision implies infinite trading discrete revision using black scholes deltas generates errors which are correlated with the market and do not approach zero with more frequent revision when transactions costs are included this paper develops a modified option replicating strategy which depends on the size of transactions costs and the frequency of revision hedging errors are uncorrelated with the market and approach zero with more frequent revision the technique permits calculation of the transactions costs of option replication and provides bounds on option prices

complete markets informed trading and equity option introductions this paper proposes and tests a new hypothesis concerning the price impact of option introductions on the underlying asset we argue that the leverage properties of options induce a higher level of informed trading in the aggregate market underlying plus derivative resulting in excess listing day price movements in the newly optioned equity using an alternative dataset our results suggest that this may be an explanation for the observed positive than negative excess listing day returns of us optioned stocks over the past thirty years

differential information and dynamic behavior of stock trading volume this article develops a multiperiod rational expectations model of stock trading in which investors have differential information concerning the underlying value of the stock investors trade competitively in the stock market based on their private information and the information revealed by the market clearing prices as well as other public news we examine how trading volume is related to the information flow in the market and how investors trading reveals their private information article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

the american put under transactions costs abstract this paper examines the optimal super replication of american put options with physical delivery of the underlying asset such as stock options by means of a stock plus riskless asset portfolio the framework of the analysis is the binomial model with proportional transactions costs on stock transactions the paper extends the model for european options originally presented in merton geneva papers risk insurance 14 1989 225 and boyle and vorst j of finance 47 1992 271 and generalized in bensaid et al math finance 2 1992 63 the optimizing framework of this latter study is adapted to put options held by investors and perfectly hedged by a market maker and to put options written by investors and both held and hedged perfectly by a market maker it is shown that a unique optimal super replicating portfolio exists at every node of the binomial tree for the long option as well as for the short option when transactions costs are low

on the valuation of american call options on stocks with known dividends both the roll and the geske equations for the valuation of the american call option on a stock with known dividends are incorrectly specified this note presents the corrected valuation formula explains the misspecifications and provides a numerical example

optimal replication of options with transactions costs and trading restrictions this paper analyzes the strategy that minimizes the initial cost of replicating a contingent claim in a market with transactions costs and trading constraints the linear programming and two stage backward recursive models developed are applicable to the replication of convex as well as nonconvex payoffs and to a portfolio of options with different maturities the paper s formulation conveniently accounts for fixed and variable transactions costs lot size constraints and position limits on trading the article shows that in the presence of trading frictions it is no longer optimal to revise one s portfolio in each period at the optimum cash flows in excess of the desired ones may be generated the optimal policy trades off the curvature of the payoff that is generated against the terminal slack

blackwell s ordering and public information abstract we characterize a precise comparative static on welfare and the amount of public information in an economy under uncertainty results dating to hirshleifer amer econom rev 61 1971 561 have suggested that information can have negative value in such a setting but counterexamples using competitive equilibrium outcomes have suppressed general results to this effect we show that under the solution concept of implementable allocations the negative relationship between more public information in the sense of blackwell and welfare is fully general furthermore blackwell s ranking is necessary as well as sufficient to obtain our ranking and hence ours provides an equivalent characterization of his ordering

stock market volatility in a heterogeneous information economy the informational role of prices contributes positively to their variability in a noisy rational expectations equilibrium traders rationally respond to price changes by revising their estimates of other traders private signals and hence their own expectations of future dividends the resultant shifts in traders demands amplify any supply shock induced price changes we develop an infinite horizon noisy rational expectations model and calibrate simulate and test it using u s stock market data the price variability in a heterogeneous information economy is shown to be 20 to 46 higher than in an otherwise equivalent economy in which all signals are publicly announced i introduction a common theme of the rational expectations literature is the ability of prices to convey information a question is the extent to which this informational role induces additional variability in prices grundy and mcnichols 1989 present a rational expectations model with multiple rounds of trade preceding a final consumption date they show that the revelation of existing private information through price changes can be the sole cause of the price variability equilibrium prices can change even in the absence of any change in supply or the arrival of any new information beyond the observation that the price itself has changed we examine the link between the informational role of prices and price variability in a multi period model with heterogeneous information arriving and consumption taking place at each trading date our goal is to obtain a comparison of price variability in a world of heterogeneous information with variability in an otherwise equivalent homogeneous information economy in which in effect all private signals are publicly announced and

alaska north slope crude oil price and the behavior of diesel prices in california abstract in this paper we analyze the price dynamics of alaska north slope crude oil and l a diesel fuel prices we employ var methodology and bivariate garch model to show that there is a strong evidence of a uni directional causal relationship between the two prices the l a diesel market is found to bear the majority of the burden of convergence when there is a price spread this finding may be seen as being consistent with the general consensus that price discovery emanates from the larger more liquid market where trading volume is concentrated the contestability of the west coast crude oil market tends to cause it to react relatively competitively while the lack of contestability for the west coast diesel market tends to limit its competitiveness causing price adjustment to be slow but to follow the price signals of crude oil our findings also suggest that the derived demand theory of input pricing may not hold in this case the alaska north slope crude oil price is the driving force in changes of l a diesel price

anticipation of quarterly earnings announcements a test of option market efficiency abstract this study tests chicago board options exchange efficiency by examining option price behavior in the weeks surrounding a firm s quarterly earnings announcement the evidence presented here suggests that a first order autoregressive seasonal process describes quarterly earnings behavior and demonstrates that the information content of an earnings announcement is fully incorporated in option prices by the end of the announcement week

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

intraday price change and trading volume relations in the stock and stock option markets this study investigates intraday relations between price changes and trading volume of options and stocks for a sample of firms whose options traded on the cboe during the first quarter of 1986 after purging the price change series of the effects of bid ask spreads multivariate time series analysis is used to estimate the lead lag relation between the price changes in the option and stock markets the results indicate that price changes in the stock market lead the option market by as much as fifteen minutes the analysis of trading volume indicates that the stock market lead may be even longer the intense trading activity in and in fact the very existence of organized stock option markets attest to the economic benefits that these financial contracts provide reduced transaction costs and increased financial leverage are two reasons why trading in the stock option market may be more attractive than trading in the market for the underlying stock in addition these cheaper and more flexible trading opportunities attract new and differently informed investors to the marketplace the resulting increase in trading activity together with the inextricable arbitrage linkage between stock and option prices imply an increase in market efficiency this study investigates empirically the intraday price change and trading volume relations between stocks and options for a sample of firms whose options were actively traded on the chicago board options exchange during the first quarter of 1986 in particular intraday call option price changes are translated into implied stock price changes using the american call option pricing model these intraday implied stock price changes are then compared with the actual stock price changes to identify which if either market leads the other in perfectly functioning capital markets there should be complete simultaneity between the series that is new information disseminating into the marketplace should be reflected in the prices and the trading activity of both securities simultaneously institutional factors however may make the stock option market more attractive to information traders this may cause price changes and trading activity due to new information to be observed in the option market first followed by price

temporal patterns in foreign exchange returns and options although the foreign exchange market is believed to be one of the most efficient financial markets in the world there is significant evidence that technical analysis is profitable in this market in this study we investigate the ability of information from the options market to supplement the commonly used information on past prices to predict temporal patterns in foreign exchange returns we find that information from the options market improves the performance of technical trading strategies strategies using information from at the money options were more consistently profitable than the most commonly used strategies based on only historical spot exchange rates past prices our results hold out of sample as well as in the late nineties a period when few sources of information have proven reliable consequently options appear to contain valuable information regarding future spot exchange rate movements

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

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

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