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 …

Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets … of data, daily realized volatility estimates taken from the Oxford Man RV library, running from the beginning of 2000 to …) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to …

We analyse volatility spillovers between the on- and offshore (CNY and CNH) Renminbi exchange rates towards the US … dollar (USD). The volatility impulse response (VIRF) methodology introduced by Hafner and Herwatz (2006) is applied to … in an efficient manner, allowing to analyse the significance and persistence of volatility shocks and associated …

This paper investigates the conditional correlations and volatility spillovers between crude oil returns and stock … empirical results from the VARMA-GARCH and VARMA-AGARCH models provide little evidence of volatility spillovers between the …

small minority of different cases. Investigating further we find that all volatility series show persistence breaks during …

We propose a methodology to include night volatility estimates in the day volatility modeling problem with high … the natural relationship between the realized measure and the conditional variance. This improves volatility modeling by … leverage effect and maintains a mathematical structure that facilitates volatility estimation. A class of bivariate models that …

characterized by volatility clustering and asymmetry. Also revealed as a stylized fact is Long memory or long range dependence in … market volatility, with significant impact on pricing and forecasting of market volatility. The implication is that models … that accomodate long memory hold the promise of improved long-run volatility forecast as well as accurate pricing of long …

(2000) is applied but generalised to account for weekly periodicities and time-varying volatility. Eventually we find a …