Unit-Gamma Distortion of Bivariate Copulas

In this paper, we advance new families of bivariate copulas constructed by distributional distortions of existing bivariate copulas. The distortions under consideration are based on the unit gamma distribution of two forms. When the initial copula is Archimedean, the induced copula is also Archimedean under the admissible parameter space. Properties such as Kendall’s tau coefficient, tail dependence coefficients and tail orders for the new families of copulas are derived. An empirical application to economic indicator data is presented.

[1]  Didier Rullière,et al.  Distortions of multivariate distribution functions and associated level curves: applications in multivariate risk theory , 2013 .

[2]  Emiliano A. Valdez,et al.  On the distortion of a copula and its margins , 2010 .

[3]  P. Embrechts,et al.  Dependence modeling with copulas , 2007 .

[4]  Bill Ravens,et al.  An Introduction to Copulas , 2000, Technometrics.

[5]  C. Genest,et al.  Statistical Inference Procedures for Bivariate Archimedean Copulas , 1993 .

[6]  M. Sklar Fonctions de repartition a n dimensions et leurs marges , 1959 .

[7]  J. Wirch,et al.  A Synthesis of Risk Measures for Capital Adequacy , 1999 .

[8]  S. Nadarajah,et al.  Newdistns: An R Package for New Families of Distributions , 2016 .

[9]  Ayman Alzaatreh,et al.  A new method for generating families of continuous distributions , 2013 .

[10]  Didier Rullière,et al.  On tail dependence coefficients of transformed multivariate Archimedean copulas , 2016, Fuzzy Sets Syst..

[11]  J. Geluk Π-regular variation , 1981 .

[12]  Lei Hua,et al.  Tail order and intermediate tail dependence of multivariate copulas , 2011, J. Multivar. Anal..

[13]  Ranadeera Gamage Madhuka Samanthi,et al.  A bivariate extension of the beta generated distribution derived from copulas , 2019 .

[14]  Matthias Fischer,et al.  Constructing and generalizing given multivariate copulas: a unifying approach , 2012 .

[15]  C. Genest,et al.  A semiparametric estimation procedure of dependence parameters in multivariate families of distributions , 1995 .

[16]  Patricia M. Morillas,et al.  A method to obtain new copulas from a given one , 2005 .