This paper adopts a VAR-GARCH approach to model the dynamic linkages between both the mean and the variance of macro … Gold and Silver. Volatility spillovers are bigger in size and affect most commodity returns. Both firstand second moment … financial assets, are sensitive to macro news (especially their volatility), and also suggest that the global financial crisis …

and equities by using the VAR-DCC-GARCH model. Specifically, by accounting for the systematic patterns of commodity price … volatility, namely, seasonality and maturity effects for the pre-financialisation (1993-2003) and post-financialisation (2004 … futures' volatility before the financialisation period, open interest as a measure of liquidity has a negative effect after …

This paper examines the relationship between aggregate insider trading (AIT) and stock market volatility using monthly … specifically, a Vector Autoregression (VAR) model is estimated and Impulse Response analysis as well as Forecast Error Variance …-run increase in stock market volatility; this can be attributed to a combination of insiders manipulating the timing and content of …

prices react more to news in downturns than in upturns, implying higher volatility in downturns and negatively skewed returns …

during the period of the financial crisis. In a Value-at-Risk (VaR) analysis, finally, we further illustrate the advantages … of copula methods. In particular the Student-t copula provides an appropriate quantification of VaR at different …