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 …

volatility of these commodities. The daily returns of Brent, gold and silver from 8 April 1999 to 7 April 2009 are employed to … model the volatility and volatility spillovers across markets. The univariate conditional volatility models suggest that … there is time-varying volatility in all assets. Moreover, asymmetry is observed in the Brent and gold markets. For …

forecasting horizons. Therefore, a long memory volatility model compared to a short memory GARCH model does not appear to improve …

, and kurtosis). With respect to the equity-gold nexus, we find that stock (gold) returns and volatility negatively …

whether they amplify or dampen volatility conditions in the target market. We use historical decompositions to rearrange …