This paper investigates a largely overlooked segment of U.S. equity markets, listed penny stocks. We find that: (i) the average percentage of short interest ratio of listed penny stocks is 14% which is not significantly different from that of NYSE- and NASDAQ-listed stocks ranging from 10% to...

In this paper, we examine the January effect in China’s A-share stock market from January 1995 to December 2019 using both the solar and lunar calendars. We find consistent with the existing literature the absence of a traditional January effect in the solar calendar; however, we observe a...

We conduct comprehensive analyses of the return characteristics of stock portfolios sorted by idiosyncratic volatility. We show that the relationship between idiosyncratic volatility and expected stock returns depends on whether the portfolio is composed of stocks with extreme performance and...

In this paper, we examine the January effect in China’s A-share stock market from January 1995 to December 2019 using both the solar and lunar calendars. We find consistent with the existing literature the absence of a traditional January effect in the solar calendar; however, we observe a...

Generating one-month-ahead systematic (beta) risk forecasts is common place in financial management. This paper evaluates the accuracy of these beta forecasts in three return measurement settings; monthly, daily and 30 minutes. It is found that the popular Fama-MacBeth beta from 5 years of...

Analysis with high frequency returns has become a core part of modern financial econometrics. Particularly in the measurement and forecasting of variance, covariance, correlation and Capital Asset Pricing Model (CAPM) beta. This paper studies CAPM beta measurement and forecasting with high...

This paper demonstrates that the low volatility anomaly exists in Australian stock returns. Consistent with previous literature on other countries, low realized volatility stocks earn superior risk-adjusted returns than high realized volatility stocks. Our key findings show value-weighted...