Narrow search
Showing 1 - 7 of 7
Cover Image
Heavy tails and copulas : topics in dependence modelling in economics and finance
Ibragimov, Rustam Ju.; Prokhorov, Artem - 2017
Persistent link: https://www.econbiz.de/10011444599
Cover Image
Out-of-sample Comparison of Copula Specifications in Multivariate Density Forecasts
Diks, Cees; Panchenko, Valentyn; van Dijk, Dick - 2008
We introduce a statistical test for comparing the predictive accuracy of competing copula specifications in multivariate density forecasts, based on the Kullback-Leibler Information Criterion (KLIC). The test is valid under general conditions: in particular it allows for parameter estimation...
Persistent link: https://www.econbiz.de/10010325942
Cover Image
Out-of-Sample Comparison of Copula Specifications in Multivariate Density Forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2011
We introduce a statistical test for comparing the predictive accuracy of competing copula specifications in multivariate density forecasts, based on the Kullback-Leibler Information Criterion (KLIC). The test is valid under general conditions: in particular it allows for parameter estimation...
Persistent link: https://www.econbiz.de/10014047091
Cover Image
Out-of-sample comparison of copula specifications in multivariate density forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - In: Journal of economic dynamics & control 34 (2010) 9, pp. 1596-1609
Persistent link: https://www.econbiz.de/10009125848
Cover Image
Out-of-sample comparison of copula specifications in multivariate density forecasts
Diks, Cees G. H. (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003798233
Cover Image
Out-of-sample comparison of Copula specifications in multivariate density forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2008
Persistent link: https://www.econbiz.de/10003787159
Cover Image
Out-of-sample comparison of copula specifications in multivariate density forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2008
We introduce a statistical test for comparing the predictive accuracy of competing copula specifications in multivariate density forecasts, based on the Kullback-Leibler Information Criterion (KLIC). The test is valid under general conditions: in particular it allows for parameter estimation...
Persistent link: https://www.econbiz.de/10011377261