frequency volatilities and correlations ; Dynamic conditional correlation ; Spline-GARCH ; Idiosyncratic volatility ; Long …

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 …

The major purpose of this research exercise is to assess the volatility dynamics of the stock returns of the banks of …

market seems to play a more important role in price discovery. Volatility spillovers across the two markets are examined by … using a bivariate EGARCH(1,1) model. This model is found to capture all the volatility dynamics. The results indicate that … the transmission of volatility is bidirectional. Any piece of information that is released by the cash market has an …

is based on a linear, parametric relationship between expected returns and conditional volatility. This paper models the …-realized variance. We find strong robust evidence of volatility feedback in monthly data. Once volatility feedback is accounted for … relationship is nonlinear. Volatility feedback impacts the whole distribution and not just the conditional mean …

This paper investigates the time-varying impact of oil price uncertainty on stock prices in China using weekly data on … suggests that oil price volatility affects stock returns positively during periods characterised by demand-side shocks in all …