On Two Simple, Three-Parameter, Three-Dimensional, Non-Exchangeable Copulas

Authors

DOI:

https://doi.org/10.37256/cm.5120242507

Keywords:

three-dimensional copulas, dependence models, multivariate analysis, correlation measures

Abstract

In this paper, we use the notion of a copula to provide theoretical contributions to the development of three-dimensional dependence models. In particular, we suggest two new three-dimensional copulas whose forms are simple and adaptable; they are based on polynomials, power functions, and three tuning parameters. In order to rely on the existing literature, we mention that the second copula can be viewed as a generalization of the three-dimensional Farlie- Gumbel-Morgenstern copula. Both copulas have the feature of being non-exchangeable (for most of the parameter values). Theoretical results are demonstrated, including wide admissible sets of values for the parameters and closed-form expressions for the medial correlation and Spearman’s rho. By using our methodology, the limitations imposed by the exchangeable property, which are typical of traditional three-dimensional copulas in the literature, are thus overcome, and new approaches to dependence modeling are opened up.

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Published

2024-02-29

How to Cite

1.
Chesneau C. On Two Simple, Three-Parameter, Three-Dimensional, Non-Exchangeable Copulas. Contemp. Math. [Internet]. 2024 Feb. 29 [cited 2024 Dec. 22];5(1):874-87. Available from: https://ojs.wiserpub.com/index.php/CM/article/view/2507