Journal of Data Science logo


Login Register

  1. Home
  2. Issues
  3. Volume 18, Issue 4 (2020)
  4. Unit-Gamma Distortion of Bivariate Copul ...

Journal of Data Science

Submit your article Information
  • Article info
  • Related articles
  • More
    Article info Related articles

Unit-Gamma Distortion of Bivariate Copulas
Volume 18, Issue 4 (2020), pp. 664–681
Jungsywan H. Sepanski  

Authors

 
Placeholder
https://doi.org/10.6339/JDS.202010_18(4).0005
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

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.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.

Keywords
Archimedean copula Clayton copula; distortion Frank copula Gumbel copula Kendall’s tau tail dependence tail order unit gamma distribution

Metrics
since February 2021
861

Article info
views

398

PDF
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

Journal of data science

  • Online ISSN: 1683-8602
  • Print ISSN: 1680-743X

About

  • About journal

For contributors

  • Submit
  • OA Policy
  • Become a Peer-reviewer

Contact us

  • JDS@ruc.edu.cn
  • No. 59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Powered by PubliMill  •  Privacy policy