We demonstrate that personal political preferences of corporate managers influence corporate policies. Specifically, Republican managers who are likely to have conservative personal ideologies adopt and maintain more conservative corporate policies. Those firms have lower levels of corporate debt, lower capital and research and development (R&D) expenditures, less risky investments, but higher profitability. Using the 9/11 terrorist attacks and Sept. 2008 Lehman Brothers bankruptcy as natural experiments, we demonstrate that investment policies of Republican managers became more conservative following these exogenous uncertainty-increasing events. Furthermore, around chief executive officer (CEO) turnovers, including CEO deaths, firm leverage policy becomes more conservative when managerial conservatism increases.

Using a database of more than 1.85 million retail investor transactions over 1991–1996, we show that these trades are systematically correlated—that is, individuals buy (or sell) stocks in concert. Moreover, consistent with noise trader models, we find that systematic retail trading explains return comovements for stocks with high retail concentration (i.e., small‐cap, value, lower institutional ownership, and lower‐priced stocks), especially if these stocks are also costly to arbitrage. Macroeconomic news and analyst earnings forecast revisions do not explain these results. Collectively, our findings support a role for investor sentiment in the formation of returns.

This study examines whether sell-side equity analysts engage in “social learning” in which their earnings forecasts for certain firms are influenced by the forecasts and outcomes of “peer” analysts associated with other firms in their respective portfolios. We find that analyst optimism is negatively correlated with recent forecast errors, by peers, on other firms in the analyst's portfolio. An analyst is also more likely to issue “bold” forecasts when peers recently issued similar forecasts for other portfolio firms. Analysts learn more from peers with similar personal characteristics. Overall, social learning benefits analysts and improves their forecast accuracy.

We examine the effect of behavioral biases on the mutual fund choices of a large sample of US discount brokerage investors using new measures of attention to news, tax awareness, and fund-level familiarity bias, in addition to behavioral and demographic characteristics of earlier studies. Behaviorally biased investors typically make poor decisions about fund style and expenses, trading frequency, and timing, resulting in poor performance. Furthermore, trend chasing appears related to behavioral biases, rather than to rationally inferring managerial skill from past performance. Factor analysis suggests that biased investors often conform to stereotypes that can be characterized as Gambler, Smart, Overconfident, Narrow Framer, and Mature.

We develop a 10-K-based multidimensional measure of firm locations. Using this measure, we show that firm-level information is geographically distributed and institutional investors are able to exploit the resulting information asymmetry. Specifically, institutional investors overweigh firms whose 10-K frequently mentions the investors' state even when those firms are not headquartered locally and earn superior returns on those stocks. These ownership and performance patterns are stronger among hard-to-value firms. Local investor performance increases with the degree of local bias and with the local economic exposure of portfolio firms. Overall, geographical variation in firm-level information generates economically significant location-based information asymmetry.

We examine whether the decision to participate in the stock market and other related portfolio decisions are influenced by income hedging motives. Economic theory predicts that the market participation propensity should increase as the correlation between income growth and stock market returns decreases. Surprisingly, empirical studies find limited support for the income hedging motive. Using a rich, unique Dutch data set and the National Longitudinal Survey of the Youth (NLSY) from the United States, we show that when the income-return correlation is low, individuals exhibit a greater propensity to participate in the market and allocate a larger proportion of their wealth to risky assets. Even when the income risk is high, individuals exhibit a higher propensity to participate in the market when the hedging potential is high. These findings suggest that income hedging is an important determinant of stock market participation and asset allocation decisions.

This study investigates whether geographic variation in religion-induced gambling norms affects aggregate market outcomes. We conjecture that gambling propensity would be stronger in regions with higher concentrations of Catholics relative to Protestants. Consistent with our conjecture, we show that in regions with higher Catholic–Protestant ratios, investors exhibit a stronger propensity to hold lottery-type stocks, broad-based employee stock option plans are more popular, the initial day return following an initial public offering is higher, and the magnitude of the negative lottery-stock premium is larger. Collectively, these results indicate that religion-induced gambling attitudes impact investors' portfolio choices, corporate decisions, and stock returns.

This study examines whether mood affects the aggregate state-level macroeconomy through its impact on firm-level decisions. Using sky cloud cover as a proxy for mood, we show that mood affects the economic expectations of small business managers. After relatively sunnier periods, managers have more optimistic expectations, and the component of their expectations related to mood influences hiring and investment decisions. Consequently, mood affects state-level job creation and new business starts, especially during periods of greater economic uncertainty. These results suggest that mood-induced economic expectations influence firm-level managerial decisions and state-level macroeconomic fluctuations.

This study examines whether state-level economic conditions affect the liquidity of local firms. We find that liquidity levels of local stocks are higher (lower) when the local economy has performed well (poorly). This relation is stronger when local financing constraints are more binding, the local information environment is more opaque, and local institutional ownership levels and trading intensity are higher. Overall the evidence supports the notion that the geographical segmentation of U.S. capital markets generates predictable patterns in local liquidity.

This study examines whether international tourism affects financial market investments. Using over two decades of data for more than 30 countries, we find that recreational travel between countries is associated with higher levels of foreign equity investments and reduced home bias. This evidence of tourism-induced foreign investment is consistent with the familiarity hypothesis and is unlikely to reflect superior information. We alleviate potential endogeneity concerns using several econometric techniques, including instrumental variables, quasi-natural experiments, and multiple placebo tests. Collectively, these results suggest that tourism has positive externalities in financial markets.