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financial markets favours the volatility and return spillover between them. The current study analyses the volatility spillover … proposed by Antonakakis and Gabauer (2017) is used to estimate the evolution in time of volatility spillover. The empirical … results obtained for the period January 2001 - September 2021 highlight the increase in volatility spillover between the …
Persistent link: https://www.econbiz.de/10013500945
Oil is perceived as a good diversification tool for stock markets. To fully understand this potential, we propose a new empirical methodology that combines generalized autoregressive score copula functions with high frequency data and allows us to capture and forecast the conditional...
Persistent link: https://www.econbiz.de/10010499593
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allowing the conditional variance of a particular market to depend on past volatility shocks in other markets. The inter …. Extending the model to incorporate leverage effects leads to further improvement in the volatility fit. We compare weight …
Persistent link: https://www.econbiz.de/10013097898
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This paper proposes structured parametrizations for multivariate volatility models, which use spatial weight matrices … models as well as for Stochastic- and Realized-Volatility models. The paper also discusses how to construct spatial weight …
Persistent link: https://www.econbiz.de/10012719984
In many multivariate volatility models, the number of parameters increases faster than the cross-section dimension …
Persistent link: https://www.econbiz.de/10013095932
Persistent link: https://www.econbiz.de/10012178381
The objective of this paper is to analyze dependence structure between the returns of Croatian and five European stock markets (Austrian, French, German, Italian, and the U.K.'s). We propose a copula GARCH approach, where the return series are modeled as univariate GARCH processes and the...
Persistent link: https://www.econbiz.de/10013071482
Persistent link: https://www.econbiz.de/10003651587