We document a strong positive cross-sectional relation between corporate bond yield spreads and bond return volatilities. As corporate bond prices are generally attributable to both credit risk and illiquidity as discussed in Huang and Huang (2012), we apply a decomposition methodology to...

In contrast to earlier decades, since the early 2000s, the average idiosyncratic volatility of stocks has fallen back to its pre-1990s level. Here, we examine whether decreasing volatility still helps to explain the cross-sectional variation of bond returns. Using a panel data of corporate bond...

We investigate the impact of short selling activity on trading activity and price volatility in the U.S corporate bond market. Consistent with prior literature, we find that investors use short selling as a platform to express their difference of opinions. In addition, we find that the positive...

This paper estimates dynamic factors from the term structure of credit spreads and the term structure of equity option implied volatilities, and it provides a comprehensive characterization of the dynamic relationships among those credit spread factors and equity volatility factors. The paper...

Corporate bonds with large increases in implied volatility over the past month underperform those with large decreases in implied volatility by 0.6% per month. In contrast to An, Ang, Bali, and Cakici (2014) who show that implied volatility changes carry information about fundamental news, our...

We document a striking pattern in U.S.and international stock returns: Double sorting on last month's return and share turnover reveals significant short-term reversal among low-turnover stocks whereas high-turnover stocks exhibit short-term momentum. Short-term momentum is as profitable and as...

The option implied volatility spread and skew predict stock returns. These variables also reflect the expected cost of borrowing stock to sell short. The stock borrowing fee implied from options prices predicts changes in quoted borrowing fees and stock returns; however, the volatility spread...

We use learning in an equilibrium model to explain the puzzling predictive power of the volatility risk premium (VRP) for option returns. In the model, a representative agent follows a rational Bayesian learning process in an economy under incomplete information with the objective of pricing...

In this paper we evaluate alternative volatility forecasting methods under Value at Risk (VaR) modelling. We calculate one-step-ahead forecasts of daily VaR for the WIG20 index quoted on the Warsaw Stock Exchange within the period from 2007 to 2011. Our analysis extends the existing research by...