This paper examines institutional price pressure in equity markets by studying mutual fund transactions caused by capital flows from 1980 to 2004. Funds experiencing large outflows tend to decrease existing positions, which creates price pressure in the securities held in common by distressed funds. Similarly, the tendency among funds experiencing large inflows to expand existing positions creates positive price pressure in overlapping holdings. Investors who trade against constrained mutual funds earn significant returns for providing liquidity. In addition, future flow-driven transactions are predictable, creating an incentive to front-run the anticipated forced trades by funds experiencing extreme capital flows.

Multinational subsidiaries are generally financed with a mixture of internal debt and equity from the parent corporation. Yet, financial theory has relatively little to say regarding the debt-equity tradeoff and the timing of dividend repatriation in an international setting. In this paper, we derive optimal rules for financing multinational subsidiaries that take into account tax rate differentials and the exploitation of tax-loss credits. We develop a formal multi-period dynamic model to characterize the optimal dividend repatriation policy and the optimal choice of debt-equity mix. The model generates several testable empirical implications that are consistent with available empirical evidence and several others that have not been either discussed or empirically tested in the literature.

ABSTRACT This paper documents strong evidence for behavioral biases among Chicago Board of Trade proprietary traders and investigates the effect these biases have on prices. Our traders appear highly loss‐averse, regularly assuming above‐average afternoon risk to recover from morning losses. This behavior has important short‐term consequences for afternoon prices, as losing traders actively purchase contracts at higher prices and sell contracts at lower prices than those that prevailed previously. However, the market appears to distinguish these risk‐seeking trades from informed trading. Prices set by loss‐averse traders are reversed significantly more quickly than those set by unbiased traders.

ABSTRACT We analyze the information content of the ambient noise level in the Chicago Board of Trade's 30‐year Treasury Bond futures trading pit. Controlling for a variety of other variables, including lagged price changes, trading volumes, and news announcements, we find that the sound level conveys information which is highly economically and statistically significant. Specifically, changes in the sound level forecast changes in the cost of transacting. Following a rise in the sound level, prices become more volatile, depth declines, and information asymmetry increases. Our results offer important implications for the future of open outcry and floor‐based trading mechanisms.

ABSTRACT This paper examines expected option returns in the context of mainstream asset‐pricing theory. Under mild assumptions, expected call returns exceed those of the underlying security and increase with the strike price. Likewise, expected put returns are below the risk‐free rate and increase with the strike price. S&P index option returns consistently exhibit these characteristics. Under stronger assumptions, expected option returns vary linearly with option betas. However, zero‐beta, at‐the‐money straddle positions produce average losses of approximately three percent per week. This suggests that some additional factor, such as systematic stochastic volatility, is priced in option returns.

We document persistent superior trading performance among a subset of individual investors. Investors classified in the top performance decile in the first half of our sample subsequently earn risk-adjusted returns of about 6% per year. These returns are not confined to stocks in which the investors are likely to have inside information, nor are they driven by illiquid stocks. Our results suggest that skilled individual investors exploit market inefficiencies (or perhaps conditional risk premiums) to earn abnormal profits, above and beyond any profits available from well-known strategies based on size, value, momentum, or earnings announcements. (JEL G11, G14, G40, G51) Received: October 11, 2020 Editorial decision: January 4, 2021 Editor: Jeffrey Pontiff

Applying a geographic lens to mutual fund performance, this study finds that fund managers earn substantial abnormal returns in nearby investments. These returns are particularly strong among funds that are small and old, focus on few holdings, and operate out of remote areas. Furthermore, we find that while the average fund exhibits only a modest bias toward local stocks, certain funds strongly bias their holdings locally and exhibit even greater local performance. Finally, we demonstrate that the extent to which a firm is held by nearby investors is positively related to its future expected return. Our results suggest that investors trade local securities at an informational advantage and point toward a link between such trading and asset prices.

The strong bias in favor of domestic securities is a well‐documented characteristic of international investment portfolios, yet we show that the preference for investing close to home also applies to portfolios of domestic stocks. Specifically, U.S. investment managers exhibit a strong preference for locally headquartered firms, particularly small, highly levered firms that produce nontraded goods. These results suggest that asymmetric information between local and nonlocal investors may drive the preference for geographically proximate investments, and the relation between investment proximity and firm size and leverage may shed light on several well‐documented asset pricing anomalies.

ABSTRACT The strong bias in favor of domestic securities is a well‐documented characteristic of international investment portfolios, yet we show that the preference for investing close to home also applies to portfolios of domestic stocks. Specifically, U.S. investment managers exhibit a strong preference for locally headquartered firms, particularly small, highly levered firms that produce nontraded goods. These results suggest that asymmetric information between local and nonlocal investors may drive the preference for geographically proximate investments, and the relation between investment proximity and firm size and leverage may shed light on several well‐documented asset pricing anomalies.

This article studies information blockages and the asymmetric release of information in a security market with fixed setup costs of trading. In this setting, "sidelined" investors may delay trading until price movements validate their private signals. Trading thereby internally generates the arrival of further news to the market. This leads to (1) negative skewness following price run-ups and positive skewness following price rundowns (even though the model is ex ante symmetric), (2) a lack of correspondence between large price changes and the arrival of external information, and (3) increases in volatility following large price changes.