Does Indian sovereign yield volatility reflect economic fundamentals, or whether it is a self-generated force flowing through markets with little connection to such fundamentals? To answer the question, this research explores the volatility dynamics and measures the persistence of shocks to the...

After documenting that monthly portfolios constructed according to the extreme deciles of Abnormal Trading Volume (ATV) generate positive (negative) returns in the short (long) run, we introduce a measure of ATV persistence and offer an explanation for this return predictability based on...

In this paper, we demonstrate that the U.S. equity market and a few specific sectors produce significantly positive returns during high geopolitical threats, even with the presence of standard controls, whereas other major markets around the world fail to exhibit such results. We use the...

In this paper, we develop new latent risk measures that are designed as a prior synthesis of key forecasting information associated with financial market contagion. These measures are based on the decomposition (using high-frequency financial data) of the quadratic covariation between two assets...

This paper defines the A-share market carbon risk index, and empirically tests the impact of carbon risk on China’s stock returns. The research results show carbon risk is correlated negatively with excess returns on equities and has proven to be a systemic risk. Mechanism analysis shows that...

This study finds short-term idiosyncratic momentum (iMOM) in cross-sectional stock returns. The short-term iMOM utilizes the daily residual returns estimated by pricing models in the previous month. This is different from idiosyncratic volatility (IVOL), which uses the volatility of the same...

We document that the first and third cross-sectional moments of corporate bond returns significantly and positively predict future stock market returns both in- and out-of-sample. The predictability emerges from informed bond trading and gradual diffusion of information. Particularly, the...

This paper considers an extension to Ang et al.’s (2006) non-linear downside beta framework. The extreme downside risk extension counts the extreme negative stock returns conditional on the market return being extremely negative. The extension is used in double-sorted portfolios, where I...