In this paper we model the volatility of the spread between the overnight interest rate and the central bank policy … 2007. During the crisis, the policy spread exhibited signs of volatility, owing to the breakdown in interbank market … activity. The determinants of this volatility are assessed using Stochastic Volatility models to gauge the role played by …

return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility … version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model …

The volatility of unanticipated output growth in income per capita is detrimental to long-run development, controlling …. This effect is significant and robust over a wide range of specifications. We unravel the effects of volatility by opening … dependence, physical and institutional barriers to trade and associated policy shocks increase volatility sharply and harm growth …

Gold and Silver. Volatility spillovers are bigger in size and affect most commodity returns. Both first and second moment … financial assets, are sensitive to macro news (especially their volatility), and also suggest that the global financial crisis …

. Positive (negative) news have significant positive (negative) effects on stock returns in all cases. Their volatility has a … significant impact on both stock returns and volatility; specifically, an increase in news volatility is always associated with a …

suggests that oil price volatility affects stock returns positively during periods characterised by demand-side shocks in all …

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive … in applications in this context. This study reviews the different volatility models and points out their advantages and …

volatility of macroeconomic variables. Such identification approach allows us to simultaneously address two major questions in …