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Information Measures via Copula Functions [PDF]
Journal of Statistical Research of Iran, 2010 In applications of differential geometry to problems of parametric inference, the notion of divergence is often used to measure the separation between two parametric densities. Among them, in this paper, we will verify measures such as Kullback-Leibler information, J-divergence, Hellinger distance, α-Divergence, . . . and so on.
R. Mohtashami Borzadaran, M. Amini
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TIME SERIES ANALYSIS USING COPULA GAUSS AND AR(1)-N.GARCH(1,1)
Media Statistika, 2016 In this case, the Gaussian Copula is used to connect the data that correlates with the time and with other data sets. Most often, practitioners rely only on the linear correlation to describe the degree of dependence between two or more variables; an ...
Rezzy Eko Caraka +3 more
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Method to Select Copula Functions
Revista Colombiana de Estadística, 2019 Copula functions have been extensively used in applied statistics, becoming a good alternative for modeling the dependence of multivariate data. Each copula function has a different dependence structure. An important issue in these applications is the choice of an appropriate copula function model for each one; thus common classical or Bayesian ...
Jorge Alberto Achcar +2 more
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Modeling Insurance Claim Distribution via Mixture Distribution and Copula [PDF]
تحقیقات مالی, 2017 This paper analyses whether joint probability distribution function of losses due to different exposures covered under the same policy could be modeled in an appropriate manner via mixture distribution proposed and copula concept.
Saeed Bajalan +2 more
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Bivariate Flood Frequency Analysis Using the Copula Archimedean Function (Gumbel–Hougaard) [PDF]
پژوهشهای آبخیزداری, 2020 Flood is a multivariate and complex phenomenon that has a random nature. In conventional methods of flood frequency analysis, only flood peak variable is important and it is assumed that the variable under consideration follows a particular parametric ...
Mohammad Reza Goodarzi +3 more
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Calibrating and Simulating Copula Functions in Financial Applications
Frontiers in Applied Mathematics and Statistics, 2021 Copula functions can be utilized in financial applications to determine the dependence structure of the financial asset returns in the portfolio. Empirical evidence has proved the inadequacy of the multi-normal distribution, traditionally adopted to ...
Annalisa Di Clemente, Claudio Romano
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Estimation of Copula Density Using the Wavelet Transform
مجلة بغداد للعلومThis paper proposes a new method to estimate the copula density function using wavelet decomposition as a nonparametric method, to obtain more accurate results and address the issue of boundary effects that nonparametric estimation methods suffer from ...
Fatimah Hashim Falhi +1 more
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Penerapan Metode GARCH-Vine Copula untuk Estimasi Value at Risk (VaR) pada Portofolio
Jurnal Fourier, 2018 Salah satu alat ukur yang digunakan untuk menghitung risiko portofolio adalah Value at Risk (VaR). Beberapa metode pengukuran VaR mengasumsikan return berdistribusi normal dan ukuran dependensi antar saham menggunakan korelasi linear.
Herida Okta Pintari, Retno Subekti
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A COPULA APPLICATION FOR MECHANICAL PROPERTIES [PDF]
Fiabilitate şi Durabilitate, 2019 Based on copula applications, the work points out the use of cumulative distribution function for the characteristics bivariate cases and the connections among them.
Adrian Stere PARIS
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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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