This paper examines the cross-sectional properties of stock return forecasts based on Fama-MacBeth regressions using all firms contained in the STOXX Europe 600 index during the September 1999-December 2018 period. Our estimation approach is strictly out-of-sample, mimicking an investor who...

Using a very large data set with more than 9,700 stocks listed on NYSE, AMEX and NASDAQ, we analyze overnight price jumps and report short-term investor overreaction to information shocks and document return reversal and predictability up to five days. For negative and positive overnight jumps,...

In this study, we examine the information diffusion of firms in investor networks. Using a unique investor account-level dataset from the Taiwan Stock Exchange from 2005 to 2014, we identify the information diffusion of firms as their centralization in investor networks. Consistent with the...

Hong, Torous, and Valkanov (2007) report that a number of U.S. industry returns can forecast the stock market using monthly data. Reexamining their results with an extended period, 1946-2013, and data, 48 industries, I find that only one to seven industries have significant predictive ability...

This research uses macro factors to explain four standard U.S. stock market risk premia, i.e. the market excess return (RM-RF), size (SMB), value (HML), and momentum (WML). We find in-sample predictive power of macro factors, in particular at a one-year horizon. Differentiating between bull and...

In this paper we consider the question of how to improve the efficacy of strategies designed to capture factor premiums in equity markets and, in particular, from the value, quality, low risk and momentum factors. We consider a number of portfolio construction approaches designed to capture...

This study develops an agent-based computational stock market model in which each trader’s buying and selling decisions are endogenously determined by multiple factors: namely, firm profitability, past stock price movement, and imitation of other traders. Each trader can switch from being a...

The use of fundamentalist traders in the stock market models is problematic since fundamental values in the real world are unknown. Yet, in the literature to date, fundamentalists are often required to replicate key stylized facts. The authors present an agent-based model of the stock market in...

This study empirically investigates a relationship between MAX and lottery-type stocks in the Chinese stock markets. We find that the lottery-type stocks, which are preferred for lottery demand of investors, are negatively priced in the Chinese market. Moreover, the MAX effect as a proxy for...

Forecasting the stock returns in the emerging markets is challenging due to their peculiar characteristics. These markets exhibit linear as well as nonlinear features and Conventional forecasting methods partially succeed in dealing with the nonlinear nature of stock returns. Contrarily,...