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Paths and indices of maximal tail dependence
Furman, Edward; Su, Jianxi; Zitikis, Ričardas - In: Astin bulletin : the journal of the International … 45 (2015) 3, pp. 661-678
Persistent link: https://www.econbiz.de/10011397592
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Tail dependence of the Gaussian copula revisited
Furman, Edward; Kuznetsov, Alexey; Su, Jianxi; Zitikis, … - In: Insurance / Mathematics & economics 69 (2016), pp. 97-103
Persistent link: https://www.econbiz.de/10011530927
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A note on upper tail behavior of Liouville copulas
Hua, Lei - In: Risks : open access journal 4 (2016) 4, pp. 1-10
The family of Liouville copulas is defined as the survival copulas of multivariate Liouville distributions, and it covers the Archimedean copulas constructed by Williamson’s d-transform. Liouville copulas provide a very wide range of dependence ranging from positive to negative dependence in...
Persistent link: https://www.econbiz.de/10011556499
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Distorted mix method for constructing copulas with tail dependence
Li, Lujun; Yuen, K. C.; Yang, Jingping - In: Insurance / Mathematics & economics 57 (2014), pp. 77-89
Persistent link: https://www.econbiz.de/10010402723
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Quantifying the risk using copulae with nonparametric marginals
Bolancé, Catalina; Bahroui, Zuhair; Artís Ortuño, Manuel - In: Insurance / Mathematics & economics 58 (2014), pp. 46-56
Persistent link: https://www.econbiz.de/10010437637
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Nonparametric tests for constant tail dependence with an application to energy and finance
Bücher, Axel; Jäschke, Stefan; Wied, Dominik - In: Journal of econometrics 187 (2015) 1, pp. 154-168
Persistent link: https://www.econbiz.de/10011498799
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Measuring systemic risk : common factor exposures and tail dependence effects
Chiu, Wan-Chien; Peña Sánchez de Rivera, Juan Ignacio; … - In: European financial management : the journal of the … 21 (2015) 5, pp. 833-866
Persistent link: https://www.econbiz.de/10011408533
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Tail dependence of OLS
Oorschot, Jochem; Chen Zhou - In: Econometric theory 38 (2022) 2, pp. 273-300
Persistent link: https://www.econbiz.de/10013187225
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Tail dependence and heavy tailedness in extreme risks
Ji, Liuyan; Tan, Ken Seng; Yang, Fan - In: Insurance / Mathematics & economics 99 (2021), pp. 282-293
Persistent link: https://www.econbiz.de/10012649222
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A statistical methodology for assessing the maximal strength of tail dependence
Sun, Ning; Yang, Chen; Zitikis, Ričardas - In: ASTIN bulletin : the journal of the International … 50 (2020) 3, pp. 799-825
Persistent link: https://www.econbiz.de/10012307385