The Dynamics of Institutional and Individual Trading

We study the daily and intradaily cross‐sectional relation between stock returns and the trading of institutional and individual investors in Nasdaq 100 securities. Based on the previous day's stock return, the top performing decile of securities is 23.9% more likely to be bought in net by institutions (and sold by individuals) than those in the bottom performance decile. Strong contemporaneous daily patterns can largely be explained by net institutional (individual) trading positively (negatively) following past intradaily excess stock returns (or the news associated therein). In comparison, evidence of return predictability and price pressure are economically small.     

Ex Ante Skewness and Expected Stock Returns

We use option prices to estimate ex ante higher moments of the underlying individual securities’ risk‐neutral returns distribution. We find that individual securities’ risk‐neutral volatility, skewness, and kurtosis are strongly related to future returns. Specifically, we find a negative (positive) relation between ex ante volatility (kurtosis) and subsequent returns in the cross‐section, and more ex ante negatively (positively) skewed returns yield subsequent higher (lower) returns. We analyze the extent to which these returns relations represent compensation for risk and find evidence that, even after controlling for differences in co‐moments, individual securities’ skewness matters.     

Trading volume and short-horizon contrarian profits: Evidence from the Malaysian market

We provide evidence on short-term predictability of stock returns on the Malaysian stock market. We examine the relation between return predictability and the level of trading activity. This is particularly relevant in emerging stock markets, where thin trading is more pervasive. We find that the returns from a contrarian portfolio strategy are positively related to the level of trading activity in the securities. Specifically, the contrarian profits on actively and frequently traded securities are significantly higher than that generated from the low trading activity securities. We find that the differential behavior of high- and low-volume securities is not subsumed by the size effect, although for the small firms, the volume–predictability relation is most pronounced. We also suggest that the price patterns may be related to the institutional arrangement in the Malaysian stock market.     

The Impact of Publication of Analysts' Recommendations on Returns and Trading Volume

Publication of security analysts' recommendations in the column “Inside Wall Street,” which is published in Business Week, induces abnormal returns on the publication day and the following day. The abnormal returns are robust to the use of alternative samples and methodologies. The publication increases trading volumes for the securities that are recommended to be purchased, but not for securities that are recommended to be sold. The abnormal returns and trading volumes support the view that stock prices do not adjust instantaneously when new information arrives, and that the time pattern of price adjustment depends on the time pattern of the accessibility of the information. The authors find no statistically significant difference between the average abnormal returns that are induced by recommendations that appear at the beginnings of “Inside Wall Street” columns (and are covered more extensively than others) and the average abnormal returns induced by other recommendations.     

Which past returns affect trading volume?

Anecdotal evidence suggests and recent theoretical models argue that past stock returns affect subsequent stock trading volume. We study 3,000 individual investors over a 51 month period to test this apparent link between past returns and volume using several different panel regression models (linear panel regressions, negative binomial panel regressions, Tobit panel regressions). We find that both past market returns as well as past portfolio returns affect trading activity of individual investors (as measured by stock portfolio turnover, the number of stock transactions, and the propensity to trade stocks in a given month). After high portfolio returns, investors buy high risk stocks and reduce the number of stocks in their portfolio. High past market returns do not lead to higher risk taking or underdiversification. We argue that the only explanations for our findings are overconfidence theories based on biased self-attribution and differences of opinion explanations for high levels of trading activity.     

Japan and Hong Kong Exchange-Traded Funds (ETFs): Discounts, Returns, and Trading Strategies

Foreign exchange-traded funds (ETFs) trade on U.S. exchanges but provide broad exposure to foreign markets. ETFs are designed to minimize the deviation between price and value of the underlying securities. However, nonoverlapping trading hours between the United States and many foreign markets inhibit this mechanism. The data for Japan and Hong Kong iShares show that deviations exist between the ETF price and the value of the underlying securities. The deviations are positively related to subsequent ETF returns creating potential profit opportunities. A simple trading rule based on this observation produces impressive gross returns when compared to a buy-and-hold strategy.     

The Effect of SEC-Ordered Suspensions on Returns, Volatility, and Trading Volume

This study evaluates the effect of SEC-ordered suspensions on securities' returns, volatility, and trading volume during 1963–1987. It is found that there is a permanent devaluation of these securities during the suspension. This result, however, is sensitive to the announced reason for the suspension. Both the variance and the trading volume are found to be substantially higher than normal in the presuspension period. This trend continues in the immediate postsuspension period. The variance and volume levels return to more normal levels only at a much later date. We conclude that trading suspensions are not associated with the immediate elimination of unusual market activity.     

Insider Trading and Firm Performance Following Open Market Share Repurchase Announcements

The long‐run performance of equity securities subsequent to announcements of open market repurchases (OMR) remains a contentious topic. In this paper we propose the “dichotomous expectations hypothesis” which posits that insider trading following share repurchase announcements reveals private information concerning the future operating performance of announcing firms. In particular, insider abnormal purchases (abnormal sales) should predict an improvement (decline) in operating performance that leads to higher (lower) long‐run stock returns. Our hypothesis offers a credible economic link between insider trading and subsequent long‐run stock performance through the intervening variable of operating performance. The empirical results show consistency with this linkage.     

Do Qualified Foreign Institutional Investors Herd in Taiwan's Securities Market?

This paper investigates whether and why qualified foreign institutional investors (QFIIs) in Taiwan herd when picking stocks. The evidence shows that QFIIs herd in Taiwan's securities market: They follow each other into and out of the same securities. We identify how the herding behavior forms and how it changes over time. The results suggest that there is an industry effect when QFIIs pick up stocks. They herd on securities classified in specific industries and also prefer stocks with high past returns as well as large firm size, supporting the argument that QFIIs are momentum traders. Characteristic herding and investigative herding explain QFIIs' trading behavior in Taiwan.     

Information Uncertainty and Post-Earnings-Announcement-Drift

Abstract:  We examine whether rational investor responses to information uncertainty (IU) explain properties of and returns to the post-earnings-announcement-drift (PEAD) trading anomaly. Consistent with a rational learning explanation, we find that: (1) unexpected earnings (UE) signals that are characterized as having greater IU have more muted initial market reactions; (2) extreme UE portfolios are characterized by securities with higher IU than non-extreme UE portfolios; and (3) within the extreme UE portfolios, high IU securities are more prevalent and earn larger abnormal returns than low IU securities. Further tests show that prior evidence of greater PEAD profitability for higher idiosyncratic volatility securities is explained by the greater information uncertainty associated with these securities.     

Exploitable patterns in retirement annuity returns: evidence from TIAA/CREF

Evidence suggests that predictabilities in asset class returns exist but transactions costs prevent exploiting them using individual securities. Extant research also shows that these relationships may by exploitable through the trading of mutual funds but fails to examine whether this relationship exists within an individual fund family. This paper finds that TIAA/CREF retirement annuities exhibit predictable elements that could be exploited by informed traders. The proposed trading strategy dominates a buy-and-hold strategy by producing higher raw and risk-adjusted returns. Additionally, the risk is greatly reduced.     

The Impact of Short-Sales Constraints on Liquidity and the Liquidity–Return Relations

Baker and Stein's (2004) model predicts that individual stock liquidity, commonality in liquidity across stocks, the contemporaneous correlation between stock returns and liquidity, and the degree of high liquidity associated with low subsequent stock returns decrease in the absence of short-sales constraints relative to in the presence. To test these theoretical predictions, we examine both the component stocks of the Taiwan 50 index and other nonindex stocks for the sample period before and after the removal of short-sales constraints on the former and use trading turnover and Amihud's (2002) illiquidity ratio as the measure of liquidity to proxy for investor sentiment. Overall, our empirical results are consistent with these theoretical predictions and therefore provide evidence in support of Baker and Stein's (2004) model.     

Confidence and Investors' Reliance on Disciplined Trading Strategies

Researchers and practitioners in accounting and finance often investigate or advocate particular disciplined trading strategies, but little work investigates the determinants of individual investors' trading‐strategy reliance. We report two experiments, which provide evidence that the dual‐source model of overconfidence (Sniezek and Buckley [1991]) predicts the circumstances in which investors are more likely to rely on disciplined trading strategies. Our results indicate that reliance is more likely when investors trade portfolios of securities rather than trading on a case‐by‐case basis, particularly when investors have received feedback that their previous (unaided) trading decisions have been unprofitable. These results are driven by the number of shares that investors transact rather than by investors' directional agreement with the recommendations of the trading strategy, suggesting that the effects of a portfolio approach and trading experience occur by mitigating investors' overconfidence. The effects violate an aspect of economic rationality because our experiments ensure that investors in all conditions trade the same set of securities based on the same set of information.     

The dynamics of individual and institutional trading on the Shanghai Stock Exchange

We investigate the daily dynamic relation between returns and institutional and individual trades in the emerging Chinese stock market. Consistent with the hypotheses of trend-chasing and attention-grabbing trading, we find that the response of individual trading to return shocks is much stronger than that of institutional trading, and individuals are net buyers following return shocks. Second, we find that past individual buys and sells have predictive power, whereas past institutional buys and sells have predictive power for market returns in longer horizons. However, both institutional and individual trading activities are more strongly related to past trades than past returns, and individual trading is also influenced by institutional trading. Moreover, we find that institutional trading in the largest quintile leads the trading in the smallest quintile, but no such lead–lag relation is found for individual trades. Finally, we find that the average cumulative abnormal trading volume of individuals is much larger than that of institutions around the firms' earnings announcement, suggesting that less-informed individual investors are more heavily influenced by firm-specific information disclosures and attention-grabbing events.     

The generality of spurious predictability

Previous empirical work has documented significant predictability (non-zero cross autocorrelations) in short-term security returns. Extant theoretical papers have shown that these cross autocorrelations can arise due to partial impounding of information in securities whose returns are driven by a common factor. In this paper, we show that non-zero cross autocorrelation in security returns can arise under weaker conditions than is generally known. We demonstrate that the existence of cross autocorrelations crucially depends on the information structure of informed traders. Thus, a common factor in security returns is neither sufficient nor necessary. Any one of the following conditions on the information structure can generate non-zero cross autocorrelations:

(1) existence of an informed trader with information relevant to two securities;

(2) correlation in the signal of informed traders with information relevant to different securities; or

(3) correlation in uninformed trading.

These cross autocorrelations are then shown to be spurious. That is, traders without any private information cannot make positive trading profit by exploiting cross autocorrelations.     

HOLIDAY CLOSINGS AND SECURITY RETURNS

This paper documents unusual return patterns for securities around holiday closings. Returns for trading days immediately before holiday closings (pre-holiday trading days) are unusually high regardless of weekday, year, or holiday closing. Returns for trading days following holiday closings (post-holiday trading days) are high only if they occur at the end of the week. Tests indicate that pre-holiday returns do not respond to a closing effect, and that the post-holiday returns do not result from a time-diffusion process. Holiday trading day returns question the tax-loss selling explanation of the turn-of-the-year effect and display a significant small firm effect outside of January.     

Do individual investors learn from their trading experience?

After analyzing retail investors’ stock trades for potential learning behavior, we present evidence that individual investors learn from their trading experience. Initially, we question whether investors’ previous forecasting ability (inferred from prior purchases’ subsequent risk-adjusted performance) affects their future trade profitability and activity. Indeed, as an investor's inferred ability increases, so does her ensuing trade profitability and intensity. Further, because additional investment experience allows more accurate ability inference, we posit that trading experience should help investors obtain better investment performance. Consistent with this hypothesis, not only do excess portfolio returns improve with account tenure, but we also find that trade quality (i.e., average raw and excess buy-minus-sell returns) significantly increases with experience (i.e., calendar time and account tenure). In sum, individual stock investors do learn, and they consequently adjust their behavior and thus effectively improve their investment performance.     

THE EFFECT OF CROSS‐LISTING ON TRADING VOLUME: REDUCING SEGMENTATION VERSUS SIGNALING INVESTOR PROTECTION

We examine the relation between cross‐listing on the U.S. and UK regulated and unregulated exchanges and trading volume for a sample of 500 foreign firms from 34 countries. We find that the increase in trading volume is a function of both reducing segmentation and signaling investor protection. In addition, we find that home market trading volume, firm size, firm returns, and analyst forecast accuracy are the major determinants of a firm's trading volume. We also show that U.S. and UK investors trade foreign securities that originate from low‐investor‐protection countries more than they trade those from high‐investor‐protection countries, which is consistent with the bonding hypothesis.     

NON-REPRESENTATIVE TRADING FREQUENCIES AND THE DETECTION OF ABNORMAL PERFORMANCE

Numerous studies employ betas computed with the ordinary least squares technique and daily returns. However, betas computed with OLS and daily returns are biased and inconsistent due to nonsynchronous trading periods or differences in trading frequency. The purpose of this study is to evaluate the effect of trading frequency on event studies. Brown and Warner (1985) investigated this and several other problems associated with daily returns and found no effect. However, they did not analyze the trading frequencies of the securities in their sample. This study uses a computer simulation for which trading frequency is an input, and, thus, tests stocks with known trading frequency.