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 …

uncertainty. The results dictate the role of uncertainty and volatility in structural models and we show they are consistent with …

This paper analyzes optimal portfolio choice and consumption with stochastic volatility in incomplete markets. Using … for stocks under stochastic volatility varies strongly with the investor's coefficient of relative risk aversion, but only … preference parameters. This paper also shows that stochastic variation in volatility produces an optimal intertemporal hedging …

role for credit growth (beyond its role in constructing the inflation forecast) would reduce the volatility of output and …

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 …