DefaultRisk.com the web's biggest credit risk modeling resource. |  |
|
|
| The t Copula and Related Copulas by Stefano Demarta of ETH Zentrum, and May 2004 Abstract: The t copula and its properties are described with a focus on issues related to the dependence of extreme values. The Gaussian mixture representation of a multivariate t distribution is used as a starting point to construct two new copulas, the skewed t copula and the grouped t copula, which allow more heterogeneity in the modelling of dependent observations. Extreme value considerations are used to derive two further new copulas: the t extreme value copula is the limiting copula of componentwise maxima of t distributed random vectors; the t lower tail copula is the limiting copula of bivariate observations from a t distribution that are conditioned to lie below some joint threshold that is progressively lowered. Both these copulas may be approximated for practical purposes by simpler, better-known copulas, these being the Gumbel and Clayton copulas respectively. Published in: International Statistical Review, Vol. 73, No. 1, (April 2005), pp. 111-129. Books Referenced in this Paper: (what is this?)
Download paper (897K PDF) 20 pages [Home] [Papers Related to Credit]  |
|
Please contact me with problems or suggestions. |
