forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting … ARCH or stochastic volatility models, which often perform poorly at intraday frequencies. Use of realized volatility … variation, we formally develop the links between the conditional covariancematrix and the concept of realized volatility. Next …

We exploit direct model-free measures of daily equity return volatility and correlation obtained from high …, solidify and extend existing characterizations of stock return volatility and correlation. We find that the unconditional … portfolio diversification when the market is most volatile. Our findings are broadly consistent with a latent volatility fact or …

-diffusions, and models of stochastic volatility. This paper explores the statistical properties of these models with a view to …

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 …