This paper examines an asset pricing model in which the Sharpe-Lintner capital asset pricing model and the zero-beta capital asset pricing model are special cases. The model allows the ratio of expected market risk premium to market variance, the conditional expected excess returns, and the risks to change over time. The results are found to be sensitive to the choice of the portfolio formation techniques. Significant time variability is shown in the conditional expected excess asset returns and risks and also in the reward-to-risk ratio.

We find that about 25 percent of our sample of 171 Japanese multinationals' stock returns experienced economically significant positive exposure effects for the period January 1979 to December 1993. The extent to which a firm is exposed to exchange-rate fluctuations can be explained by the level of its export ratio and by variables that are proxies for its hedging needs. Highly leveraged firms, or firms with low liquidity, tend to have smaller exposures. Foreign exposure is found to increase with firm size. We also find that keiretsu multinationals are more exposed to exchange-rate risk than nonkeiretsu firms.

The authors show that after controlling for the effects of bid-ask spreads and trading volume the conditional future volatility of equity returns is negatively related to the level of stock price. This "leverage effect" is stronger for small, as compared to large, firms. The authors also document that while the essential characteristics of the relations between stock price dynamics and firm size are stable, the strengths of the relationships appear to change over time.

This paper examines an asset pricing model in which the Sharpe-Lintner CAPM and the zero-beta CAPM are special cases. The model allows the ratio of expected market risk premium to market variance, the conditional expected excess returns, and the risks to change over time. The results are found to be sensitive to the choice of the portfolio formation techniques. Significant time variability is shown in the conditional expected excess asset returns and risks and also in the reward-to-risk ratio.

This paper examines an asset pricing model in which the Sharpe‐Lintner CAPM and the zero‐beta CAPM are special cases. The model allows the ratio of expected market risk premium to market variance, the conditional expected excess returns, and the risks to change over time. The results are found to be sensitive to the choice of the portfolio formation techniques. Significant time variability is shown in the conditional expected excess asset returns and risks and also in the reward‐to‐risk ratio.

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.

This study examines investment-cash flow (ICF) sensitivity across international markets and shows that the sensitivity has been stable in poor countries, but has experienced a sharp decline over time in firms located in rich countries. Our results suggest that the growing wealth of economies worldwide and relaxation of financial constraints at the firm level have led to the disappearance of ICF sensitivity in rich, highly developed countries but not in poor developing ones. We show that access to external finance, especially equity finance, is a key channel through which country-level development affects the sensitivity of investment to internal cash flow. Our evidence suggests that the amount of available economic resources and allocation efficiency are two necessary conditions that ensure the viability of the equity channel.

This study provides evidence that links institutional trading behavior directly to anomalous turn-of-the-year return patterns of small stocks. We find that turn-of-the-year trading patterns of institutions reflect strategies generally consistent with window-dressing and risk-shifting behaviors. Institutions sell more loser small stocks in the last quarter of the year, but buy more small stocks, winners and losers, in the first quarter. Institutional buying (selling) of loser stocks at year-end weakens (strengthens) the turn-of-the-year effect. Buying of winner stocks after year-end causes a statistically significant, though weaker, effect.

We examine how mutual funds from 26 developed and developing countries allocate their investment between domestic and foreign equity markets and what factors determine their asset allocations worldwide. We find robust evidence that these funds, in aggregate, allocate a disproportionately larger fraction of investment to domestic stocks. Results indicate that the stock market development and familiarity variables have significant, but asymmetric, effects on the domestic bias (domestic investors overweighting the local markets) and foreign bias (foreign investors under or overweighting the overseas markets), and that economic development, capital controls, and withholding tax variables have significant effects only on the foreign bias.

This paper employs a unique data set to analyze the trading behavior of 4.74 million individual and institutional investors across Mainland China. Results show that groups of individual investors with varying trade values (as proxies for wealth levels) engage in different trading strategies. Chinese institutions are momentum investors, while less wealthy Chinese individual investors at large are contrarian investors. The results also indicate that a small group of wealthiest Chinese individuals tend to behave like institutions when they buy stocks, and behave like less wealthy individuals when they sell. Furthermore, only the trading activities of institutions and of wealthiest individuals can affect future stock volatility, but those of Chinese individual investors at large have no predictive power for future stock returns.