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 …

differences of opinion is left, and hence volatility is decreased. …

In this work, I study the impact of high-frequency trading (HFT) on price discovery and volatility in the Bund futures … price discovery compared to Non-HFTs, but also add a higher share to noise than to permanent volatility. Moreover, I find … evidence that HFTs tend to supply less liquidity after an unexpected rise in market volatility and prior to upcoming …

We use volatility impulse response analysis estimated from the bivariate GARCH-BEKK model to quantify the size and the … persistence of different types of oil price shocks on stock return volatility and the covariance between oil price changes and …

This paper evaluates the profitability of applying four different volatility forecasting models to the trading of … applied in this paper are: historical volatility, two ARCH models, and an autoregressive model for the volatility index. VDAX …. The ARCH models perform best in generating profits for market makers. Forecasts based on historical volatility also …