We investigate the time series behavior of idiosyncratic volatility and its role in asset pricing in China. We find no evidence of a long-term trend in the time series behavior of idiosyncratic volatility. Idiosyncratic volatility in China is best characterized by an autoregressive process with...

Recent studies suggest an increasing trend in return idiosyncratic volatility and a ‘puzzling' negative relationship between idiosyncratic and total volatility and stock returns. We investigate in an emerging market, the time-series behaviour of total and idiosyncratic volatility and their...

Motivated by Bali et al. (2011) and Ang et al. (2006 & 2009), we examine the cross-sectional relationship between the expected stock return and both the maximum daily return (MAX) and the idiosyncratic volatility (IVOL) in the five largest emerging African stock markets over the period from 2001...

We employ low-frequency data to estimate historical volatility measures for Hong Kong stocks and examine the relationship between these measures and the one-month ahead stock return over thirty-five years. First, we employ a stock's past three-year weekly return to compute idiosyncratic...

Recent evidence in the U.S. and Europe indicates that stocks with high maximum daily returns in the previous month, perform poorly in the current month. We investigate the presence of a similar effect in the emerging Chinese stock markets with portfolio-level analysis and firm-level Fama-MacBeth...

We use Hong Kong stock market data for 1982-2001 to test the persistence of the size and value premia and therobustness of the Fama-French (FF) three-factor model in explaining the variation in stock returns. We document a statistically significant and persistent size effect or size premium that...

We investigate the significance of extreme positive returns (MAX) in the cross- sectional pricing of stocks in South Korea. Our results provide important out of sample evidence of a strong negative MAX effect similar to that documented by Bali et al., (2011) in the U.S. stock market. For...