The paper proposes a self-exciting asset pricing model that takes into account co-jumps between prices and volatility and self-exciting jump clustering. We employ a Bayesian learning approach to implement real time sequential analysis. We find evidence of self-exciting jump clustering since the...

The main goal of this paper is to study the cross-sectional pricing of market volatility. The paper proposes that the market return, the diffusion volatility, and the jump volatility are fundamental factors that change the investors' investment opportunity set. Based on estimates of the...