We examine the performance of volatility models that incorporate features such as long (short) memory, regime …-t). Second, we perform a comprehensive panel forecasting analysis of the MSM models as well as other competing volatility models … (GMM) estimation are both suitable for MSM-t models, (ii) empirical panel forecasts of MSM-t models show an improvement …

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 adjusted measure of realized volatility suggested in [20] is applied to high- frequency orderbook and transaction … data of DAX and BUND futures from EU- REX in order to identify the drivers of intraday volatility. Four components are … realized volatility can be predicted by a simple linear model based on the components identified. It is shown how the …

volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period … assumed to follow a white noise or autocorrelated process, it is confirmed by the rolling window estimation, and it holds for …