In most games, for equilibrium to result, players need to forecast the equilibrium strategies of others. We elicit forecasts of outcomes in a series of hawk-dove (aka chicken) games played by other players. We ask whether these forecasts are consistent with any correlated equilibrium of a class...

This paper suggests a novel approach for predicting aggregate stock returns at quarterly and annual frequencies. Weak return predictability is consistent with the view that a stationary component of stock prices is highly persistent. In such cases, expected returns are time-varying but also...

In this paper, we document evidence that downside betas tend to comove more than upside betas during a financial crisis, but upside betas tend to comove more than the downside betas during financial booms. We find that the asymmetry between Downside-Beta Comovement and Upside-Beta Comovement is...

In this paper, I argue that we can use consumer and investor perceptions to forecast short-term fluctuations in asset prices. Using tweets scraped from Twitter between 2009 and 2019, I perform textual analysis to construct daily sentiment indices. While other scholars have relied on third-party...

This paper addresses the long-standing question of whether asset prices are predictable. The common view holds that daily prices fully incorporate all available information, and therefore price changes are unforecastable. This conclusion does not necessarily hold when the vast bulk of market...

This paper address the long-standing question of whether asset prices are predictable. The common view holds that daily prices fully incorporate all available information, and therefore price changes are unforecastable. This conclusion does not necessarily hold when the vast bulk of market...

Asset returns change with fundamentals and other factors, such as technical information and sentiment over time. In modeling time-varying expected returns, this article focuses on the out-of-sample predictability of the aggregate stock market return via extensions of the conventional predictive...

In this paper we investigate the predictive power of cross-sectional volatility, skewness and kurtosis for future stock returns. Adding to the work of Maio (2016), who finds cross-sectional volatility to forecast a decline in the equity premium with high predictive power in-sample as well as...

I propose to forecast the market returns through its constituents. In contrast to the voluminous literature that concentrates on the predictive power of aggregate cross-sectional or macroeconomic predictors, I analyze the return predictability of sub-portfolios that compose the market portfolio....

We provide a short and selected review of the vast literature on cross-section predictability. We focus on the state of art methods used to forecast the cross-section of stock returns with major predictors and are primarily interested in the ideas, methods, and their applications. To understand...