This paper reexamines the beta-return relation through the lens of time-varying risk aversion. We show that the security market line (SML) depends critically on the level of aggregate risk aversion. During periods of high risk aversion, the SML exhibits a positive slope and an intercept that is statistically indistinguishable from zero, with investor sentiment playing only a minor role. During periods of low risk aversion, the SML slope becomes negative and the intercept is significantly positive. Investor sentiment affects the SML only when risk aversion is low. These patterns are robust across alternative portfolio constructions, longer investment horizons, and multiple measures of risk aversion.

ABSTRACT This paper examines the effect of the All‐Star award on the performance of Chinese financial analysts. Leveraging unique voting data from 2007 to 2016 and a regression discontinuity design (RDD), we find that the All‐Star award significantly enhances recipients' fundamental analysis. Awarded analysts issue more accurate earnings forecasts, and their stock recommendations convey greater information content for firms with higher information asymmetry. RDD results also indicate that award recipients gain increased resources and greater flexibility in reallocating time and effort. Post award, analysts concentrate on fewer industries, cover more firms within each industry, issue forecasts more frequently, expand their teams, and conduct more site visits. Surveys of analysts and institutional investors corroborate these findings, highlighting increases in site visits and roadshows following the award. Overall, the results suggest that the All‐Star award boosts analyst performance by fostering more concentrated coverage and improving access to both internal and external resources.

In this paper, I examine a new approach for measuring earnings quality, defined as the closeness of reported earnings to “permanent earnings,” based on firm decisions with regard to capital and labor investments. Specifically, I measure earnings quality as the contemporaneous association between changes in the levels of capital and labor investment and the change in reported earnings. This approach follows the reasoning that (1) firms make investment decisions based on the net present value (NPV) of investment projects and (2) reported earnings with higher quality should more closely associate with real investment decisions. I find that measures of earnings quality based on managerial labor and capital decisions correlate positively with earnings persistence and have incremental explanatory power relative to earnings-quality measures used in the accounting literature. Furthermore, investment-based earnings-quality measures are less informative when managers tend to overinvest.

Theoretical models have long recognized the role of investor disagreements in the marketplace, but little evidence is documented regarding how belief dispersion affects trading activities in the broad equity market. Using over three decades of data from a survey of US households, we introduced a novel measure of household macroeconomic belief dispersion and document its positive relationship with market-wide stock trading volume, even after controlling for an array of professional analysts’ belief dispersion. Results are more pronounced for the belief dispersion among households who are more likely to own stocks. Furthermore, we show that the household belief dispersion is priced in the cross-section of stock returns, whereas that among professional analysts is not.

This paper examines the relation between chief executive officers’ (CEOs’) incentive levels and their firms’ risk characteristics. I show theoretically that, when CEOs cannot trade the market portfolio, optimal incentive level decreases with firm's nonsystematic risk but is ambiguously affected by firm's systematic risk; when CEOs can trade the market portfolio, optimal incentive level decreases with nonsystematic risk but is unaffected by systematic risk. Empirically I find support for these predictions. Furthermore, I find that incentives for CEOs likely facing binding short-selling constraints decrease with systematic as well as nonsystematic risk, as predicted by theory. Thus, compensation practice is consistent with predictions of theory.

This study investigates the asset pricing implications of a newly documented refinement of the disposition effect, characterized by investors being more likely to sell a security when the magnitude of their gains or losses on it increases. I find that stocks with both large unrealized gains and large unrealized losses outperform others in the following month (trading strategy monthly alpha = 0.5-1%, Sharpe ratio = 1.5). This supports the conjecture that these stocks experience higher selling pressure, leading to lower current prices and higher future returns. Overall, this study provides new evidence that investors' trading behavior can aggregate to affect equilibrium price dynamics.

[Through the interaction between financial constraints and R&D, I study two asset-pricing puzzles: mixed evidence on the financial constraints—return relation and the positive R&D-return relation. Unlike capital investment, R&D is more inflexible. A financially constrained R&D-intensive firm is more likely to suspend/discontinue R&D projects. Therefore, R&D-intensive firms' risk increases with their financial constraints. Conversely, constrained firms' risk increases with their R&D intensity. I find a robust empirical relation between financial constraints and stock returns, primarily among R&D-intensive firms. Moreover, R&D predicts returns only among financially constrained firms. This evidence suggests that financial constraints potentially drive the positive R&D-return relation.]

Using a consumption-based asset pricing model with infinite-horizon nonlinear habit formation, Campbell and Cochrane (1999) show that low consumption in surplus of habit should forecast high expected returns. This article argues that the finite-horizon linear habit model also implies an inverse relation between expected returns and surplus consumption. This article also presents empirical evidence, which indicates that expected returns on stocks and bonds vary with surplus consumption implied by the habit models. The volatility of returns and the reward to volatility are also related to surplus consumption. However, less than 30% of the predictable variation of expected returns, using standard lagged information variables, is attributed to surplus consumption.