Results 21 to 30 of about 493 (183)
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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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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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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Dependence Modeling, 2018 The family of Clayton copulas is one of the most widely used Archimedean copulas for dependency measurement. A major drawback of this copula is that when it accounts for negative dependence, the copula is nonstrict and its support is dependent on the ...
Cooray Kahadawala
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Stochastic Comparisons of Extreme Order Statistics in the Heterogeneous Exponentiated Scale Model [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 The effect of heterogeneity on order statistics has attracted much attention in recent decades. In this paper, first, we discuss stochastic comparisons of extreme order statistics from independent heterogeneous exponentiated scale samples.
Esmaeil Bashkar +2 more
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, 2020 A central problem in machine learning and statistics is to model joint densities of random variables from data. Copulas are joint cumulative distribution functions with uniform marginal distributions and are used to capture interdependencies in isolation from marginals.
Ling, Chun Kai +2 more
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VALUE AT RISK ESTIMATION FOR STOCK PORTFOLIO USING THE ARCHIMEDEAN COPULA APPROACH
BarekengInvestment is one of the many ways to achieve future profits. One form of investment that is widely made is stocks. The return obtained in investing in stocks is potentially higher than other investment alternatives, but the risks borne are amplified, so
Mohammad Dicky Saifullah +3 more
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On an asymmetric extension of multivariate Archimedean copulas based on quadratic form
Dependence 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
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