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 …

This paper studies the pricing of volatility risk using the first-order conditions of a long-term equity investor who … volatility. Empirically, we present novel evidence that low-frequency movements in equity volatility, tied to the default spread …

We propose a novel method to estimate dynamic equilibrium models with stochastic volatility. First, we characterize the … exploits the profusion of shocks in stochastic volatility models, is versatile and computationally tractable even in large … methods to estimate a business cycle model of the U.S. economy with both stochastic volatility and parameter drifting in …

We propose a discrete-time stochastic volatility model in which regime switching serves three purposes. First, changes …

that background, we explore whether incorporating stochastic volatility improves DSGE forecasts (point, interval, and … policy rate. We find that incorporating stochastic volatility in DSGE models of macroeconomic fundamentals markedly improves … their density forecasts, just as incorporating stochastic volatility in models of financial asset returns improves their …

, through the lenses of a DSGE model. The estimation involves Markov-Chain Monte-Carlo (MCMC) methods. We apply this estimation …