innovation to stock return correlation in a vector autoregression are nearly identical to those of a news shock about future … productivity. Thus, market-wide changes in return correlation contain information about changes in future technological …

framework is a bivariate volatility model, where volatility spillovers of either positive or negative sign are allowed for. Our … countries. Regarding the volatility spillovers, such spillovers from bond returns to those of stocks are stronger than the other … results show that by considering time-varying return and volatility spillovers when calculating the risk-minimising portfolio …

-varying correlation ; regime transition ; multivariate GARCH ; smooth transition ; cross-asset correlation ; non-linear estimation …The correlation between stock markets and interest rates has been discussed in numerous studies in the past, with … which allow for time-variability and regime changes in correlation. All estimated models allowing for timevarying …

institutions established after the Second World War, NDB still faces important challenges to meet those goals. …

pressure on emerging market currencies in times of high market volatility. …

Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed … divergent when volatility clusters idiosyncratically.It is illustrated that this property is important for empirical … indicate that conclusions may critically hinge on a selectedordering of variables. The dynamic correlation Cholesky …