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A Collection of Two-Dimensional Copulas Based on an Original Parametric Ratio Scheme

Authors :
Christophe Chesneau
Source :
Symmetry, Vol 15, Iss 5, p 977 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

The creation of two-dimensional copulas is crucial for the proposal of novel families of two-dimensional distributions and the analysis of original dependence structures between two quantitative variables. Such copulas can be developed in a variety of ways. In this article, we provide theoretical contributions to this subject; we emphasize a new parametric ratio scheme to create copulas of the following form: C(x,y)=(b+1)xy/[b+ϕ(x,y)], where b is a constant and ϕ(x,y) is a two-dimensional function. As a notable feature, this form can operate an original trade-off between the product copula and more versatile copulas (not symmetric, with tail dependence, etc.). Instead of a global study, we examine seven concrete examples of such copulas, which have never been considered before. Most of them are extended versions of existing non-ratio copulas, such as the Celebioglu–Cuadras, Ali-Mikhail-Haq, and Gumbel–Barnett copulas. We discuss their attractive properties, including their symmetry, dominance, dependence, and correlation features. Some graphics and tables are given as complementary works. Our findings expand the horizons of new two-dimensional distributional or dependence modeling.

Details

Language :
English
ISSN :
20738994
Volume :
15
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Symmetry
Publication Type :
Academic Journal
Accession number :
edsdoj.0854c44253884287a3cc4d3fc04ddac1
Document Type :
article
Full Text :
https://doi.org/10.3390/sym15050977