This paper proposes an aggregate index of macro tail risk and examines its role in asset pricing. We observe that a positive market risk premium compensated for the downside risk of macro fundamentals; a high tail risk predicts subsequent high returns. This predictability exists both in- and...

In this paper, we forecast Bitcoin's returns and return jumps using a self-exciting process embedded in a stochastic volatility model. We show the existence of the jump clustering feature, which varies depending on the frequency of the data. In an out-of-sample setting, we use a particle filter...

After many decades on focusing only on quantitative approaches for making decisions in manufacturing and supply chain management, researchers in operations management have recently acknowledged the importance of understanding the human behavior tendencies underlying these decisions. The result...