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Matrix-Tilted Archimedean Copulas [PDF]

open access: yesRisks, 2021
The new class of matrix-tilted Archimedean copulas is introduced. It combines properties of Archimedean and elliptical copulas by introducing a tilting matrix in the stochastic representation of Archimedean copulas, similar to the Cholesky factor for ...
Marius Hofert, Johanna F Ziegel
exaly   +6 more sources

On Generators in Archimedean Copulas [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2018
This study after reviewing  construction methods of generators in Archimedean copulas (AC),  proposes several useful lemmas related with generators of AC. Then a new trigonometric Archimedean family will be shown which is based on cotangent function. The
Vadoud Najjari
doaj   +3 more sources

Properties of Hierarchical Archimedean Copulas [PDF]

open access: yesStatistics & Risk Modeling, 2013
In this paper we analyse the properties of hierarchical Archimedean copulas. This class is a generalisation of the Archimedean copulas and allows for general non-exchangeable dependency structures. We show that the structure of the copula can be uniquely
Ostap Okhrin   +2 more
core   +5 more sources

Convergence of Archimedean Copulas [PDF]

open access: yesStatistics & Probability Letters, 2006
Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions.No extra differentiability ...
Charpentier, A., Segers, J.J.J.
core   +7 more sources

ON GENERATING MULTIVARIATE SAMPLES WITH ARCHIMEDEAN COPULAS [PDF]

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2014
Archimedean copulas are one of the most known classes of copulas. They allow modeling the dependencies between variables with small number of parameters.
Jacek Stelmach
doaj   +3 more sources

Lorenz-generated bivariate Archimedean copulas

open access: yesDependence Modeling, 2020
A novel generating mechanism for non-strict bivariate Archimedean copulas via the Lorenz curve of a non-negative random variable is proposed. Lorenz curves have been extensively studied in economics and statistics to characterize wealth inequality and ...
Fontanari Andrea   +2 more
doaj   +4 more sources

On an asymmetric extension of multivariate Archimedean copulas based on quadratic form

open access: yesDependence Modeling, 2016
An important topic in Quantitative Risk Management concerns the modeling of dependence among risk sources and in this regard Archimedean copulas appear to be very useful.
Di Bernardino Elena, Rullière Didier
exaly   +2 more sources

On certain transformations of Archimedean copulas: Application to the non-parametric estimation of their generators

open access: yesDependence Modeling, 2013
We study the impact of certain transformations within the class of Archimedean copulas. We give some admissibility conditions for these transformations, and define some equivalence classes for both transformations and generators of Archimedean copulas ...
Di Bernardino Elena, Rullière Didier
exaly   +2 more sources

Nested Archimedean Copulas Meet R: The nacopula Package [PDF]

open access: yesJournal of Statistical Software, 2011
The package nacopula provides procedures for constructing nested Archimedean copulas in any dimensions and with any kind of nesting structure, generating vectors of random variates from the constructed objects, computing function values and probabilities
Marius Hofert, Martin Maechler
doaj   +1 more source

Generative Archimedean Copulas

open access: yesCoRR, 2021
We propose a new generative modeling technique for learning multidimensional cumulative distribution functions (CDFs) in the form of copulas. Specifically, we consider certain classes of copulas known as Archimedean and hierarchical Archimedean copulas, popular for their parsimonious representation and ability to model different tail dependencies.
Yuting Ng   +3 more
openaire   +3 more sources

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