We study the dynamics of liquidity and news releases around jumps by identifying their intraday timing for the Dow Jones Industrial Average index constituents. Jumps are found to coincide with a significant increase in trading costs and demand for immediacy, amplified by the release of news....

Large one-off events cause large changes in prices, but may not affect the volatility and correlation dynamics as much as smaller events. In such cases, standard volatility models may deliver biased covariance forecasts. We propose a multivariate volatility forecasting model that is accurate in...

A jump robust positive semidefinite rank-based estimator for the daily covariance matrix based on high-frequency intraday returns is proposed. It disentangles covariance estimation into variance and correlation components. This allows us to account for non-synchronous trading by estimating...