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Persistent link: https://www.econbiz.de/10001736255
We propose a multidimensional extension for Patton’s (2006) bi-variate Dynamic Copulas. We also introduce a Dynamic Mixture Copula whose parameters and weights follow well defined dynamic processes. Both approaches improve the Copulas’ flexibilities and their adaptabilities to financial...
Persistent link: https://www.econbiz.de/10014182746
We propose a multidimensional extension for Patton's (2006) bivariate Dynamic Copulas. We also introduce a Dynamic Mixture Copula whose parameters and weights follow well defined dynamic processes. Both approaches are more flexible to adapt to financial data than currently available Copula...
Persistent link: https://www.econbiz.de/10012999941
The past decade has witnessed the rapid growing of the world palladium market. Thus, it is even more important to develop effective quantitative tools for risk management of palladium assets at this moment. In this paper, we investigate five different types of widely-used statistical...
Persistent link: https://www.econbiz.de/10012949787
Persistent link: https://www.econbiz.de/10013549659
In this paper the out-of-sample prediction of Value-at-Risk by means of models accounting for higher moment dynamics is studied. We consider models differing in terms of skewness and urtosis and, in particular, the GARCHDSK model, which allows for dynamic skewness and kurtosis. The issue of VaR...
Persistent link: https://www.econbiz.de/10013134556
In this research, we employ a full-range tail dependence copula to capture the intraday dynamic tail dependence patterns of 30 s log returns among stocks in the US market in the year of 2020, when the market experienced a significant sell-off and a rally thereafter. We also introduce a...
Persistent link: https://www.econbiz.de/10014436379
Persistent link: https://www.econbiz.de/10015144246
The paper develops a tail risk forecasting model that incorporates the wealth of economic and financial information available to risk managers. The approach can be viewed as a regularized extension of the two-stage GARCH-EVT model of McNeil and Frey (2000) where we permit a time-varying...
Persistent link: https://www.econbiz.de/10013214142
It is widely accepted that some of the most accurate predictions of aggregated asset returns are based on an appropriately specified GARCH process. As the forecast horizon is greater than the frequency of the GARCH model, such predictions either require time-consuming simulations or they can be...
Persistent link: https://www.econbiz.de/10013125613