the mean and volatility of equity returns. Our model assumes a small risk of a rare disaster that is calibrated based on … turns out to be crucial to the model's ability to explain both equity volatility and option prices. We explore different …

examines the implications of stochastic volatility and jumps for option valuation. This example highlights the impact on option … amp;apos;smirksamp;apos; of the joint distribution of jumps in volatility and jumps in the underlying asset price, through …

We conduct a comprehensive analysis of unspanned stochastic volatility in commodity markets in general and the crude …-oil market in particular. We present model-free results that strongly suggest the presence of unspanned stochastic volatility in … stochastic volatility. The model features correlations between innovations to futures prices and volatility, quasi …

We use a novel pricing model to filter times series of diffusive volatility and jump intensity from Samp;P 500 index … about twice the premium required to compensate the same investor for the realized volatility, 5.8 percent. Moreover, the ex …

The large asset price jumps that took place during 2008 and 2009 disrupted volatility derivatives markets and caused …

Shocks to equity options' ATM implied volatility (ATMIV) are followed by persistently lower short-term rates. Shocks to …

the supply network determine both whether aggregate volatility disappears as the number of sectors increases (i …-output relations) and aggregate volatility, and more importantly, the relationship between higher-order interconnections and aggregate … volatility. These higher-order interconnections capture the cascade effects, whereby low productivity or the failure of a set of …

The leverage effect refers to the generally negative correlation between an asset return and its changes of volatility … volatility estimated from high-frequency data. The puzzle lies in the fact that such an intuitively natural estimate yields …