Results 31 to 40 of about 4,426 (211)
Archimedean copulas derived from Morgenstern utility functions [PDF]
, 2012 The (additive) generator of an Archimedean copula - as well as the inverse of the generator - is a strictly decreasing and convex function, while Morgenstern utility functions (applying to risk averse decision makers) are nondecreasing and concave.
Spreeuw, J.
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Types of dependence and time-dependent association between two lifetimes in single parameter copula models [PDF]
, 2006 Most publications on modeling insurance contracts on two lives, assuming dependence of the two lifetimes involved, focus on the time of inception of the contract.
Spreeuw, J.
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Using Copulas to Model Dependence Between Crude Oil Prices of West Texas Intermediate and Brent-Europe [PDF]
Sahand Communications in Mathematical Analysis, 2020 In this study the main endeavor is to model dependence structure between crude oil prices of West Texas Intermediate (WTI) and Brent - Europe. The main activity is on concentrating copula technique which is powerful technique in modeling dependence ...
Vadoud Najjari
doaj +1 more source
Distortion risk measures for sums of dependent losses [PDF]
, 2010 We discuss two distinct approaches, for distorting risk measures of sums of dependent random variables, which preserve the property of coherence. The first, based on distorted expectations, operates on the survival function of the sum.
Brahimi, Brahim +2 more
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Journal of Hydrology: Regional Studies, 2016 Study region: Narew River in Northeastern Poland. Study focus: Three methods for frequency analysis of snowmelt floods were compared. Two dimensional (2D) normal distribution and copula-based 2D probability distributions were applied to statistically ...
Bogdan Ozga-Zielinski +4 more
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Lorenz-generated bivariate Archimedean copulas
Dependence Modeling, 2019 Abstract 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 tail risk.
Fontanari, A. (author) +2 more
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Intermediate Tail Dependence: A Review and Some New Results [PDF]
, 2012 The concept of intermediate tail dependence is useful if one wants to quantify the degree of positive dependence in the tails when there is no strong evidence of presence of the usual tail dependence. We first review existing studies on intermediate tail
A. Charpentier +35 more
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ARCHIMEDEAN COPULAS AND TEMPORAL DEPENDENCE [PDF]
Econometric Theory, 2012 We study the dependence properties of stationary Markov chains generated by Archimedean copulas. Under some simple regularity conditions, we show that regular variation of the Archimedean generator at zero and one implies geometric ergodicity of the associated Markov chain.
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Archimedean copulae and positive dependence [PDF]
Journal of Multivariate Analysis, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MUELLER A, SCARSINI, MARCO
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Extensions of Two Bivariate Strict Archimedean Copulas
Computational Journal of Mathematical and Statistical Sciences, 2023 The copula approach provides an option for capturing the structure of dependence between two quantitative variables. This approach is based on special bivariate functions called copulas.
Christophe Chesneau
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