We develop a novel method to decompose a straddle into a volatility risk portfolio and a jump risk portfolio. The …. We use the straddle decomposition to analyze the volatility risk premium and the jump risk premium embedded in a straddle … volatility risk portfolio persistently generates positive returns during earnings announcement periods …

volatility, but without the estimation problems associated with the latter, and being applicable in the multivariate setting for … model in several ways, it allows for all the primary stylized facts of financial asset returns, including volatility … EM-algorithm is developed for estimation. Each element of the vector return at time t is endowed with a common univariate …

three market regimes. A consistent parametric framework of stochastic volatility is used. All empirical market utility …

In recent years there has been a remarkable growth of volatility options. In particular, VIX options are among the most … actively trading contracts at CBOE. These options exhibit upward sloping volatility skew and the shape of the skew is largely … independent of the volatility level. To take into account these stylized facts, this article introduces a novel two …

Variance Gamma model and the Vix index. We use this result to build a maximum likelihood estimation procedure and to calibrate …

three market regimes. A consistent parametric framework of stochastic volatility is used. All empirical market utility …

compute a time-transformation (TT) function using the intraday integrated volatility estimated by a jump-robust method. The …-martingale hypothesis of the stock log-price process and estimate the daily realized volatility. Our method improves the normality … approximation of the standardized business-time return distribution. Our Monte Carlo results show that the integrated volatility …