This paper analyzes volatility spillovers in multivariate GARCH-type models. We show that the cross-effects between the … conditional variances determine the persistence of the transmitted volatility innovations. In particular, the effect of a foreign … volatility innovation on a conditional variance is even more persistent than the effect of an own innovation unless it is offset …

This paper analyzes volatility spillovers in multivariate GARCH-type models. We show that the cross-effects between the … conditional variances determine the persistence of the transmitted volatility innovations. In particular, the influence of a … foreign volatility innovation on a conditional variance is even more persistent than an own innovation unless this effect is …

allows for volatility feedback of either sign, i.e., positive or negative. In the previous literature, negative volatility … GARCH processes ; volatility feedback …

We introduce a conditional volatility model that combines persistent volatility dynamics with spillovers from a wide … volatility dynamics. We show that despite the many parameters resulting from this wide cross-section, this spillover … autoregressive (SPAR) realized variance model forecasts accurately and can be used in estimating large volatility spillover networks …

This paper studies the nature of volatility spillovers across countries from the per-spective of network theory and by … relying on data of US-listed ETFs. I use a Lasso-related technique to estimate the International Volatility Network (IVN …) where the nodes correspond to large-cap international stock markets while the links account for significant volatility lead …

. A state-dependent volatility spillover GARCH hedging strategy is developed to capture the regime switching global equity … volatility spillover effect. Empirical results show that the NFNE futures exhibit superior effectiveness as an instrument for …

This paper studies the nature of volatility spillovers across countries from the perspective of network theory and by … relying on data of US-listed ETFs. I use a Lasso-related technique to estimate the International Volatility Network (IVN …) where the nodes correspond to large-cap international stock markets while the links account for significant volatility lead …

The ranking of multivariate volatility models is inherently problematic because when the unobservable volatility is … the size of the distortion is strictly tied to the level of the accuracy of the volatility proxy. We propose a generalized …

framework. This paper examines the ranking of multivariate volatility models in terms of their ability to forecast out … evaluate the distance between the true covariance matrix and its forecast. The evaluation of multivariate volatility models … requires the use of a proxy for the unobservable volatility matrix which may shift the ranking of the models. Therefore, to …

framework. However, little is known about the ranking of multivariate volatility models in terms of their forecasting ability …. The ranking of multivariate volatility models is inherently problematic because it requires the use of a proxy for the … unobservable volatility matrix and this substitution may severely affect the ranking. We address this issue by investigating the …