The Day-of-the-Week and the Week-of-the-Month Effects: An Analysis of Investors' Trading Activities

This study examines the positive Monday returns detected in the stock market during the 1988–1998 period and finds that (a) the positive Monday returns are concentrated in the first and the third weeks of the month, and (b) they are related to the increasing trading activities of institutional investors.     

Correlated Trading and Returns

A German broker's clients place similar speculative trades and therefore tend to be on the same side of the market in a given stock during a given day, week, month, and quarter. Aggregate liquidity effects, short sale constraints, the systematic execution of limit orders (coordinated through price movements) or the correlated trading of other investors who pick off retail limit orders do not fully explain why retail investors trade similarly. Correlated market orders lead returns, presumably due to persistent speculative price pressure. Correlated limit orders also predict subsequent returns, consistent with executed limit orders being compensated for accommodating liquidity demands.     

Intraday Returns and the Frequency of Trading at the Ask on the Sydney Futures Exchange: A Research Note

This article documents and provides explanations for intraday patterns in returns for the Share Price Index (SPI) futures contract traded on the Sydney Futures Exchange (SFE). Consistent with overseas futures markets research, a positive and significant overnight return is documented. Unlike overseas futures markets, we find little evidence of an end of day price rise. Our evidence suggests that overnight returns for the SPI contract are largely driven by the way returns are typically measured, which ignores the fact that there is a significantly greater frequency of sellers at the market close and buyers at the start of the day. These patterns are consistent with hedging behaviour by futures traders with long positions in the underlying stock.     

A Model of Returns and Trading in Futures Markets

This paper develops an equilibrium model of a competitive futures market in which investors trade to hedge positions and to speculate on their private information. Equilibrium return and trading patterns are examined. (1) In markets where the information asymmetry among investors is small, the return volatility of a futures contract decreases with time-to-maturity (i.e., the Samuelson effect holds). (2) However, in markets where the information asymmetry among investors is large, the Samuelson effect need not hold. (3) Additionally, the model generates rich time-to-maturity patterns in open interest and spot price volatility that are consistent with empirical findings.     

Stock Price Behavior over Trading and Non-trading Periods: Evidence from the Taiwan Stock Exchange

This paper examines the stock price behavior in the trading and non-trading periods for stocks listed on the Taiwan Stock Exchange over 1971-96. The results indicate that the trading-time return variances are higher than the non-trading-time return variances especially for the larger trading-volume quintiles. This result is consistent with the private information hypothesis. Moreover, open-to-open return variances are higher than close-to-close return variances. Since both the opening and the closing transactions are conducted by the call auction procedure, the results are consistent with the trading halt hypothesis but not with the trading mechanism hypothesis.     

Noisy Prices and Inference Regarding Returns

Temporary deviations of trade prices from fundamental values impart bias to estimates of mean returns to individual securities, to differences in mean returns across portfolios, and to parameters estimated in return regressions. We consider a number of corrections, and show them to be effective under reasonable assumptions. In an application to the Center for Research in Security Prices monthly returns, the corrections indicate significant biases in uncorrected return premium estimates associated with an array of firm characteristics. The bias can be large in economic terms, for example, equal to 50% or more of the corrected estimate for firm size and share price.     

Individual Investor Trading and Stock Returns

This paper investigates the dynamic relation between net individual investor trading and short‐horizon returns for a large cross‐section of NYSE stocks. The evidence indicates that individuals tend to buy stocks following declines in the previous month and sell following price increases. We document positive excess returns in the month following intense buying by individuals and negative excess returns after individuals sell, which we show is distinct from the previously shown past return or volume effects. The patterns we document are consistent with the notion that risk‐averse individuals provide liquidity to meet institutional demand for immediacy.     

Trading Mechanisms and Stock Returns: An Empirical Investigation

This paper examines the effects of the mechanism by which securities are traded on their price behavior. We compare the behavior of open-to-open and close-to-close returns on NYSE stocks, given the differences in execution methods applied in the opening and closing transactions. Opening returns are found to exhibit greater dispersion, greater deviations from normality and a more negative and significant autocorrelation pattern than closing returns. We study the effects of the bid-ask spread and the price-adjustment process on the estimated return variances and covariances and discuss the associated biases. We conclude that the trading mechanism has a significant effect on stock price behavior.     

Trading and Returns under Periodic Market Closures

This paper studies how market closures affect investors' trading policies and the resulting return-generating process. It shows that closures generate rich patterns of time variation in trading and returns, including those consistent with empirical findings: (1) U-shaped patterns in the mean and volatility of returns over trading periods, (2) higher trading activity around the close and open, (3) more volatile open-to-open returns than close-to-close returns, (4) higher returns over trading periods than over nontrading periods, (5) more volatile returns over trading periods than over nontrading periods. It also shows that closures can make prices more informative about future payoffs.     

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.     

A Note on Unsuccessful Tender Offers and Stockholder Returns

Recent research shows that unsuccessful tender offers may affect target share returns for two years past the offer's announcement. This note examines target returns in the interim between the announcement and one year after the offer's withdrawal. Analyzing a recent sample of targets that did not get another bid in the year following a failed tender offer, this study reaches two conclusions. First, all of an offer's premium disappears by the time failure becomes public. Second, excess returns are zero in the post-failure year. An explanation that is based on the causes of the tender offers' failures is presented.     

Implied Spot Rates as Predictors of Currency Returns: A Note

Currency call option transactions data and the Black-Scholes option pricing model, as modified by Merton for continuous dividends and as adapted to currency options by Biger and Hull and by Garman and Kohlhagen, are used to imply spot foreign exchange rates. The proportional deviation between implied and simultaneously observed spot rates is found to be a direct and statistically significant determinant of subsequent returns on foreign currency holdings after controlling for interest rate differentials. Further, an ex ante trading rule reveals that the additional information contained in implied rates often is sufficient to generate significant economic profits.     

Preliminary Evidence on Takeover Target Returns in Spain: A Note

This paper measures the share price returns to Spanish takeover targets over the period 1990 to 1994. Using several estimation and testing methods, we show that target shareholders gain significant abnormal returns in the announcement period. In the first part of the year before the announcement period, firms that become targets do not show significant abnormal returns, though there is some significant upturn in the two months before the bid.     

Retail Trading and IPO Returns in the Aftermarket

Using trade size from the Trade and Quote (TAQ) data set as a proxy for individual versus institutional trading, this paper finds that the effects of trading of these two types of investors on initial public offering (IPO) returns on the first trading day depend on the hotness of the IPO. My regression results reveal that IPOs’ open-to-close returns are positively related to small trade participation, small trade purchases, and small trade order imbalance in the hot IPO sample, but not in the cold and neutral IPO samples. In addition, the aftermarket prices of cold and neutral IPOs are primarily driven by the trading of institutional investors, who are less likely to be driven by sentiment.     

Dynamic Trading with Predictable Returns and Transaction Costs

We derive a closed‐form optimal dynamic portfolio policy when trading is costly and security returns are predictable by signals with different mean‐reversion speeds. The optimal strategy is characterized by two principles: (1) aim in front of the target, and (2) trade partially toward the current aim. Specifically, the optimal updated portfolio is a linear combination of the existing portfolio and an “aim portfolio,” which is a weighted average of the current Markowitz portfolio (the moving target) and the expected Markowitz portfolios on all future dates (where the target is moving). Intuitively, predictors with slower mean‐reversion (alpha decay) get more weight in the aim portfolio. We implement the optimal strategy for commodity futures and find superior net returns relative to more naive benchmarks.     

Corporate Takeovers: Mode of Payment, Returns and Trading Activity

This paper examines the impact of takeover bids and, in particular, the method of payment to the shareholders of the target firms on the returns, trading activity and bid-ask spreads of target and bidding firms traded on the London Stock Exchange. It suggests that the shareholders of target firms benefit substantially from takeover activity while the shareholders of bidding firms do not suffer. The combined value of the firms engaged in takeover activity increases by a small percentage during the event period. However, the benefit from a takeover announcement to the shareholders of the target firm varies from year to year and has declined in the recent past. The magnitude of excess returns available to the shareholders is also dependent on the mode of payment. Prices of target (bidding) firms increase (decrease) most if the shareholders of the target firms are given an option to receive payment in shares or in cash. The findings also reveal that during the event period trading activity in target and bidding companies increases depending on the form in which payments to shareholders are made. In response to this increased liquidity, the bid-ask spreads of target and bidding firms decline during the event period.     

A Note on the Predictability of UK Stock Returns

This note presents evidence on the predictability of UK stock returns using a database of companies in the FTSE-Allshare Index newly constructed towards the beginning of 1998. The tests used are autocorrelations at various lags and variance ratios for several aggregations of base observations. The evidence is consistent with that published for US stock returns, namely that daily stock returns contain a strong element of predictability.