Diverse Copulas through Durante's Method. Exploring Parametric Functions

This article unveils the often underestimated potential of a copula methodology introduced by Durante in 2009. It highlights the remarkable ability of the method to generate a broad spectrum of copulas by exploiting various parametric functions. Our exploration encompasses a collection of power-like...

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Main Author: Christophe Chesneau
Format: Article
Language:English
Published: Wrocław University of Science and Technology 2024-01-01
Series:Operations Research and Decisions
Online Access:https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_4.pdf
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author Christophe Chesneau
author_facet Christophe Chesneau
author_sort Christophe Chesneau
collection DOAJ
description This article unveils the often underestimated potential of a copula methodology introduced by Durante in 2009. It highlights the remarkable ability of the method to generate a broad spectrum of copulas by exploiting various parametric functions. Our exploration encompasses a collection of power-like, exponential-like, trigonometric-like, logarithmic-like, hyperbolic-like and error-like functions, each dependent on one, two, or three parameters, effectively satisfying the necessary assumptions of Durante's method. The proofs provided rely on suitable differentiation, comprehensive factorizations, and judicious application of mathematical inequalities. In the vast repertoire of copulas derived from this methodology, we present three distinct series of eight new copulas, supported by a graphical analysis of their respective densities. This theoretical study not only expands the understanding of copula generation but also introduces a new perspective on their construction in various contexts. (original abstract)
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publisher Wrocław University of Science and Technology
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series Operations Research and Decisions
spelling doaj-art-3d68f23ad3724293ba5d6a294d9cc3c42025-08-20T03:50:05ZengWrocław University of Science and TechnologyOperations Research and Decisions2081-88582391-60602024-01-01vol. 34no. 36186171700328Diverse Copulas through Durante's Method. Exploring Parametric FunctionsChristophe Chesneau0University of Caen-Normandie, FranceThis article unveils the often underestimated potential of a copula methodology introduced by Durante in 2009. It highlights the remarkable ability of the method to generate a broad spectrum of copulas by exploiting various parametric functions. Our exploration encompasses a collection of power-like, exponential-like, trigonometric-like, logarithmic-like, hyperbolic-like and error-like functions, each dependent on one, two, or three parameters, effectively satisfying the necessary assumptions of Durante's method. The proofs provided rely on suitable differentiation, comprehensive factorizations, and judicious application of mathematical inequalities. In the vast repertoire of copulas derived from this methodology, we present three distinct series of eight new copulas, supported by a graphical analysis of their respective densities. This theoretical study not only expands the understanding of copula generation but also introduces a new perspective on their construction in various contexts. (original abstract)https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_4.pdf
spellingShingle Christophe Chesneau
Diverse Copulas through Durante's Method. Exploring Parametric Functions
Operations Research and Decisions
title Diverse Copulas through Durante's Method. Exploring Parametric Functions
title_full Diverse Copulas through Durante's Method. Exploring Parametric Functions
title_fullStr Diverse Copulas through Durante's Method. Exploring Parametric Functions
title_full_unstemmed Diverse Copulas through Durante's Method. Exploring Parametric Functions
title_short Diverse Copulas through Durante's Method. Exploring Parametric Functions
title_sort diverse copulas through durante s method exploring parametric functions
url https://ord.pwr.edu.pl/assets/papers_archive/ord2024vol34no3_4.pdf
work_keys_str_mv AT christophechesneau diversecopulasthroughdurantesmethodexploringparametricfunctions