This paper investigates inference and volatility forecasting using a Markov switching heteroscedastic model with a fat-tailed error distribution to analyze asymmetric effects on both the conditional mean and conditional volatility of financial time series. The motivation for extending the Markov...

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of di erent models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...

We extract a global factor from cross-country output growth since 1960. We find that the fluctuations of the global factor are typically small, with the annualized unconditional volatility estimated at 0.06%, but highly persistent, with estimated persistence at 0.98. Evidence of time variation...

This paper uses a dynamic general equilibrium two-country optimizing sticky-price model to analyze the consequences of international financial market integration for the propagation of asymmetric productivity shocks in a monetary union. The model implies that business cycle volatility is higher...

This paper uses a dynamic general equilibrium two-country optimizing sticky-price model to analyze the consequences of international financial market integration for the propagation of asymmetric productivity shocks in a monetary union. The model implies that business cycle volatility is higher...

A new Bayesian multi-chain Markov Switching GARCH model for dynamic hedging in energy futures markets is developed by constructing a system of simultaneous equations for the return dynamics on the hedged portfolio and futures. More specifically, both the mean and variance of the hedged portfolio...