VaR forecasts of a set of conditional volatility models. This risk management strategy is GFC-robust in the sense that …

Crude oil price volatility has been analyzed extensively for organized spot, forward and futures markets for well over … a decade, and is crucial for forecasting volatility and Value-at-Risk (VaR). There are four major benchmarks in the …-Pacific), which are likely to be highly correlated. This paper analyses the volatility spillover effects across and within the four …

This paper estimates univariate and multivariate conditional volatility and conditional correlation models of spot … volatilities across returns for each market. The estimates of volatility spillovers and asymmetric effects for negative and …

microstructure noise and to obtain consistent estimates of the integrated volatility (IV) as a measure of ex-post daily volatility …. Even bias-corrected and consistent (modified) realized volatility (RV) estimates of the integrated volatility can contain … residual microstructure noise and other measurement errors. Such noise is called “realized volatility error”. As such …