Results 11 to 20 of about 276 (185)
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
Gregor Wei{\ss}, Marcus Scheffer
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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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Pairs Trading; A Comparison between Student-t and Vine Copulas [PDF]
تحقیقات مالی, 2022 Objective: The main purpose of the present research was to compare the performance of pairs trading based on the Vine Copula, Student's t Copula, and Distance approaches. This was done for the first time on the Tehran Stock Exchange (TSE).
Maryam Davallou, Ardavan Yazdi
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Comparison between canonical vine copulas and a meta-Gaussian model for forecasting agricultural drought over China [PDF]
Hydrology and Earth System Sciences, 2022 Agricultural drought mainly stems from reduced soil moisture and precipitation, and it causes adverse impacts on the growth of crops and vegetation, thereby affecting agricultural production and food security.
H. Wu +9 more
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Financial dependence analysis: applications of vine copulas [PDF]
Statistica Neerlandica, 2013 This paper features the application of a novel and recently developed method of statistical and mathematical analysis to the assessment of financial risk, namely regular vine copulas. Dependence modelling using copulas is a popular tool in financial applications but is usually applied to pairs of securities.
Allen, David E. +4 more
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Technical and allocative inefficiency in production systems: a vine copula approach
Dependence Modeling, 2022 Modeling the error terms in stochastic frontier models of production systems requires multivariate distributions with certain characteristics. We argue that canonical vine copulas offer a natural way to model the pairwise dependence between the two main ...
Zhai Jian, James Robert, Prokhorov Artem
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Ecological Indicators, 2023 Best management practices (BMPs) have wide application in non-point source (NPS) pollution abatement in agricultural watersheds. Multivariate analysis of BMPs reduction effects taking their randomness and correlations into account is significant to ...
Wenlu Ding +6 more
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Vine copulas structures modeling on Russian stock market
Discrete and Continuous Models and Applied Computational Science, 2019 Pair-copula constructions have proven to be a useful tool in statistical modeling, particularly in the field of finance. The copula-based approach can be used to choose a model that describes the dependence structure and marginal behaviour of the data in
Eugeny Yu. Shchetinin
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Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas
Applied Water Science, 2022 Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin.
Mohammad Nazeri Tahroudi +3 more
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Statistical arbitrage with vine copulas [PDF]
Quantitative Finance, 2018 We develop a multivariate statistical arbitrage strategy based on vine copulas—a highly flexible instrument for linear and nonlinear multivariate dependence modeling.
Stübinger, Johannes +2 more
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