The Baker and Wurgler (2006) sentiment index purports to measure irrational investor sentiment, while the University of Michigan Consumer Sentiment Index is designed to largely reflect fundamentals. Removing this fundamental component from the Baker and Wurgler index creates an index of investor...

In this paper, we confirm cross-sectional reversals in intraday returns in China's A-share market. Intraday reversals are shown to be robust with respect to seasonality, alternative samples, and the daily price-limit rule. To investigate the potential drivers, trade volumes and order imbalances...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

This paper examines the risk premium associated with information shocks in equity markets. For all stocks traded on Borsa Istanbul between March 2005 and December 2020, we calculate information shocks as unanticipated information asymmetry by focusing on changes in the proportion of the...

This study shows how correlated information consumption (CIC) of retail investors relates to comovement in stock market outcomes. We construct clusters of stocks with CIC by employing network analysis on Google co-search data. We predict significant comovement in returns and liquidity of stocks...

Purpose: In this paper we try to explain US stock market variations and cash flow fundamentals by employing three different book-valued based ratios, First, we explore the explanatory capacity of the simple book-market ratio on time-varying expected returns, and procced on altering its...

In this paper, we construct a sample of news co-occurrences using big data technologies. We show that stocks that co-occur in news articles are less risky, bigger, and more covered by financial analysts, and economically-connected stocks are mentioned more often in the same news articles. We...

This paper studies the historical time-varying dynamics of risk for individual stocks in the U.S. market. Total risk of an individual stock is decomposed into two components, systematic risk and idiosyncratic risk, and both components are studied separately. We start from the historical trend in...

Purpose - We propose a risk factor for idiosyncratic entropy and explore the relationship between this factor and expected stock returns. Design/methodology/approach - We estimate a cross-sectional model of expected entropy that uses several common risk factors to predict idiosyncratic entropy....