-shifts of heterogeneous durations affect the volatility of dividend news. We estimate tightly parameterized specifications with … likelihood than the classic Campbell and Hentschel (1992) specification, while generating volatility feedback effects 6 to 12 … times larger. We show in an extension that Bayesian learning about stochastic volatility is faster for bad states than good …

We develop and implement a new method for maximum likelihood estimation in closed-form of stochastic volatility models … unobservable volatility state, to an approximate likelihood procedure where the volatility state is replaced by the implied … volatility of a short dated at-the-money option. We find that the approximation results in a negligible loss of accuracy. We …

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

We develop a tractable and flexible stochastic volatility multi-factor model of the term structure of interest rates …

At the zero lower bound, the central bank's inability to offset shocks endogenously generates volatility. In this …-contingent optimal monetary and fiscal policies can attenuate this endogenous volatility by stabilizing the distribution of future … outcomes. Fluctuations in uncertainty and the zero lower bound help our model match the unconditional and stochastic volatility …

the spot volatility extracted from the options and the one obtained nonparametrically from high-frequency data on the … underlying asset. We further construct new formal tests of the model fit for specific regions of the volatility surface and for … index options we extend the popular double-jump stochastic volatility model to allow for time-varying jump risk premia and a …