We study the simultaneous occurrence of long memory and nonlinear effects, such as structural breaks and thresholds, in autoregressive moving average (ARMA) time series models and apply our modeling framework to series of daily realized volatility. Asymptotic theory for the quasi-maximum...

This paper derives accurate inferences about the contribution of a high-dimensional set of option and stock characteristics to the cross-sectional variation in delta-hedged option returns. Unlike the extant literature that is largely focused on the construction of predictive models, we apply...

This paper evaluates the underperformance of individual equity options relative to their replicating portfolios. Considering a high-dimensional set of variables, we use a machine learning approach to identify the characteristics of options and their underlying stocks that provide incremental...