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MATVines: A vine copula package for MATLAB
SoftwareX, 2021 Vine copulas provide a way to model a d-dimensional copula with bivariate building blocks and have been applied to a wide range of research topics. The MATVines package is presented, which implements vine copula functionalities for MATLAB. In particular,
Maximilian Coblenz
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ESTIMASI NILAI CONDITIONAL VALUE AT RISK (CVaR) PORTOFOLIO MENGGUNAKAN METODE EVT-GJR-VINE COPULA [PDF]
E-Jurnal Matematika, 2019 Conditional value at risk (CVaR) is widely used in risk measure that takes into account losses exceeding the value at risk level. The aim of this research is to compare the performance of the EVT-GJR-vine copula method and EVT-GARCH-vine copula method in
NI WAYAN UCHI YUSHI ARI SUDINA +2 more
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Approximation multivariate distribution of main indices of tehran stock exchange with pair-copula [PDF]
, 2013 The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula.
Parham, Gholamali +2 more
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Vine constructions of Lévy copulas [PDF]
Journal of Multivariate Analysis, 2013 Levy copulas are the most general concept to capture jump dependence in multivariate Levy processes. They translate the intuition and many features of the copula concept into a time series setting. A challenge faced by both, distributional and Levy copulas, is to find flexible but still applicable models for higher dimensions. To overcome this problem,
Grothe, Oliver, Nicklas, Stephan
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Hydrology, 2022 Low-lying coastal communities are often threatened by compound flooding (CF), which can be determined through the joint occurrence of storm surges, rainfall and river discharge, either successively or in close succession.
Shahid Latif, Slobodan P. Simonovic
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A Mixture of Regular Vines for Multiple Dependencies
Journal of Probability and Statistics, 2021 To uncover complex hidden dependency structures among variables, researchers have used a mixture of vine copula constructions. To date, these have been limited to a subclass of regular vine models, the so-called drawable vine, fitting only one type of ...
Fadhah Amer Alanazi
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Mathematics, 2021 For multidimensional dependent cases with incomplete probability information of random variables, global sensitivity analysis (GSA) theory is not yet mature.
Zhiwei Bai +4 more
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Smooth nonparametric Bernstein vine copulas [PDF]
Quantitative Finance, 2012 We propose to use nonparametric Bernstein copulas as bivariate pair-copulas in high-dimensional vine models. The resulting smooth and nonparametric vine copulas completely obviate the error-prone need for choosing the pair-copulas from parametric copula families. By means of a simulation study and an empirical analysis of financial market data, we show
Weiß, Gregor, Scheffer, Marcus
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ESTIMASI CVAR PADA PORTOFOLIO SAHAM MENGGUNAKAN METODE GJR-EVT DENGAN PENDEKATAN D-VINE COPULA
E-Jurnal Matematika, 2022 Risk measure using Conditional Value at Risk can be calculate if values that exceeds the p-quantile is known in VaR. The models used to accommodate characteristics of the stock portfolio in this research are EVT-GARCH-D-vine copula and EVT-GJR-D-vine ...
DERY MAULANA +2 more
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covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas
Journal of Statistical Software, 2022 In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix.
Steffen Grønneberg +2 more
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