In this paper, we show that the book-to-market decomposition described in Fama-French (2008) significantly improves the predictive power of the estimation for an important emerging market, viz, Chinese shares. Second, we show that this improvement comes mainly from the change in book equity and...

This paper provides a comprehensive analysis on the stock return predictability in Turkey, January 1997 to July 2011, by employing both portfolio method and cross-sectional regressions. In the risk-related predictors, we found predictive power of beta, total volatility, and idiosyncratic...

Cross-sectional stock return predictability has always been an intriguing issue for the researchers as it relates to a number of resilient puzzles in finance. This paper provides a comprehensive analysis on the stock return predictability in China form January 1994 to March 2011 by employing...

High book-to-market stocks earn higher average returns than low book-to-market stocks. This result has been verified using stock returns from the U.S., developed, and emerging markets. Why B/M explains expected returns is still an open question. In this paper, we use stock returns representing...

The Securities and Exchange Commission's 2008 emergency order introduced a shorting ban of some 800 financials traded in the US. This paper provides an empirical analysis of the options market around the ban period. Using transaction level data from OPRA (The Options Price Reporting Authority),...

Using data on 65,000 stocks from 23 countries, the authors re-evaluate the performance of the Fama-French (2015) factors in global markets. The results provide convincing evidence that the value, profitability, and investment factors are far less reliable than commonly thought. Their performance...

Option volatilities have significant predictive power for the cross section of stock returns and vice versa. Stocks with large increases in call implied volatilities tend to rise over the following month whereas increases in put implied volatilities forecast future decreases in next-month stock...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...

Stocks with large increases in call implied volatilities over the previous month tend to have high future returns while stocks with large increases in put implied volatilities over the previous month tend to have low future returns. Sorting stocks ranked into decile portfolios by past call...

We introduce a new, hybrid measure of stock return tail covariance risk, motivated by the under-diversified portfolio holdings of individual investors, and investigate its cross-sectional predictive power. Our key innovation is that this covariance is measured across the left tail states of the...