Showing 1 - 10 of 548
Persistent link: https://www.econbiz.de/10003491106
than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on …This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by …-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results …
Persistent link: https://www.econbiz.de/10003586562
Persistent link: https://www.econbiz.de/10003499671
than by GARCH type volatility estimates. The t-DCC estimation procedure is applied to a portfolio of daily returns on …This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by …-DCC specification. The t-DCC model also passes a number of VaR diagnostic tests over an evaluation sample. The estimation results …
Persistent link: https://www.econbiz.de/10013316934
Persistent link: https://www.econbiz.de/10012583496
In this paper we focus on estimating the degree of cross-sectional dependence in the error terms of a classical panel data regression model. For this purpose we propose an estimator of the exponent of cross-sectional dependence denoted by α; which is based on the number of non-zero pair-wise...
Persistent link: https://www.econbiz.de/10011900761
Persistent link: https://www.econbiz.de/10008825760
Persistent link: https://www.econbiz.de/10003981032
return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility … version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model …
Persistent link: https://www.econbiz.de/10003965868
return correlations using weekly returns on futures markets and investigate the extent to which multivariate volatility … version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and show that the t-DCC model …
Persistent link: https://www.econbiz.de/10013094817