This paper seeks to uncover the drivers of the idiosyncratic momentum anomaly. We show that: (I) idiosyncratic momentum is a distinct phenomenon that exists next to conventional momentum and is not explained by it; (ii) idiosyncratic momentum is priced in the cross-section of stock returns after...

We use the VIX and basic trading behavior to time entry and exit from the market. Our strategy captures 89% of the bottom and 91% from the top (you miss only 11% and 9% from the peak point, respectively). We lay our strategy down in six acts. Act I: the daily average return in the stock market...

We document that the variation in market liquidity is an important determinant of momentum crashes that is independent of other known explanations surfaced on this topic. This relationship is driven by the asymmetric large return sensitivity of short-leg of momentum portfolio to changes in...

Because levered equity is an option on the firm, variations in asset idiosyncratic risk (ivol) induces a negative relationship between equity ivol and expected returns. We show that the effect is caused by the nonlinear payoff of equity and the law of one price, and is present in all but...

In this paper, we show that there is a negative premium for MAX stocks in the Korean stock market. However, there is no evidence that the MAX effect overwhelms the effects of idiosyncratic risk. When we control for idiosyncratic risk, the negative relationship between extreme returns and future...

This study explores whether the credit risk anomaly exhibits option-like behavior similar to the momentum anomaly. Employing a market-timing regression model as in Daniel and Moskowitz (2013), it finds that the inverted credit risk spread indeed displays option-like behavior in bear market...

We often observe disproportionate reactions to tangible information in large stock price movements. Moreover these movements feature an asymmetry: the number of crashes is more than that of frenzies in the S&P 500 index. This paper offers an explanation for these two characteristics of large...

Stochastic processes is one of the key operations research tools for analysis of complex phenomenon. This paper has a unique application to the study of mean changing models in stock markets. The idea is to enter and exit stock markets like Apple Computer and the broad S&P500 index at good times...