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一类多元copula和拟copula的构造
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  • 英文篇名:A Class of the Construction of Multivariate Copulas and Quasi-copulas
  • 作者:马子淇 ; 白晓东
  • 英文作者:MA Ziqi;BAI Xiaodong;School of Science,Dalian Minzu University;
  • 关键词:copula ; copula ; Lipschitz条件 ; 密度函数
  • 英文关键词:copula;;quasi-copula;;Lipschitz condition;;density function
  • 中文刊名:CQSF
  • 英文刊名:Journal of Chongqing Normal University(Natural Science)
  • 机构:大连民族大学理学院;
  • 出版日期:2018-01-18 15:21
  • 出版单位:重庆师范大学学报(自然科学版)
  • 年:2018
  • 期:v.35;No.159
  • 基金:辽宁省自然科学基金面上项目(No.201602188);; 国家级大学生创新创业训练计划(No.G201612026032)
  • 语种:中文;
  • 页:CQSF201801011
  • 页数:7
  • CN:01
  • ISSN:50-1165/N
  • 分类号:83-89
摘要
【目的】研究了具有共同对角面函数的一类多元copula和拟copula的构造。【方法】将已有文献中对角面的概念加以推广,然后定义了一种""运算,基于这种运算建立了构造多元copula和拟copula的方法。【结果】给出了一类具有共同对角面函数的多元copula和拟copula,以及这些copula的性质。【结论】为相关统计建模和金融分析提供了描述某种相依结构的框架。
        [Purposes]In this paper,The construction of a class of multivariate copulas and quasi-copulas is investigated with the common diagonal section function.[Methods]The notion of diagonal section on the former literature is generalized,and an operation is put forward which is denoted by "".Then based on this operation,a method of the construction of multivariate copulas and quasi-copulas is studied.[Findings]A class of multivariate copulas and quasi-copulas with the common diagonal section function is given,and its properties is discussed.[Conclusions]These provide some dependence frame for statistical modeling and financial analysis.
引文
[1]NELSEN R.An Introduction to copulas[M].2nd ed.NewYork:Springer,2006.
    [2]JOE H.Multivariate models and dependenceconcepts[M].London:Chapman&Hall,1997.
    [3]JOE H.Dependence modeling with copula[M].NewYork:CRC Press,2014.
    [4]DENUIT M,DHAENE J,GOOVAERTS M,et al.Actuarial theory for dependence risk:measures orders and models[M].Hoboken:JohnWiley&Sons,2005.
    [5]ANE T,KHAROUBI C.Depedence structure and risk measure[J].Journal of Business,2003,76(3):411-438.
    [6]MALEVERGNE Y,SORNETTE D.Extreme financial risk:from dependence to risk management[M].Berlin:Springer-Verlag,2006.
    [7]CHAN Y,LI H.Tail dependence for multivariate t-copulas and its monotonicity[J].Insurance:Mathematics and Economics,2008,42(2):763-770.
    [8]ALSINA C,NELSEN R B.On the characterization of a class of binary operations on distribution functions[J].Statistics&Probability Letters,1993,17(2):85-89.
    [9]FURMAN E,KUZNETSOV A,SU J,et al.Tail dependence of the Gaussian copula revisited[J].Insurance:Mathematics and Economics,2016,69:97-103.
    [10]FERNANDEZ-SANCHEZ J,NELSEN R,QUESADAMOLINA,et al.Independence results for multivariate tail dependence coeffecients[J].Fuzzy Sets and Systems,2015,284:129-137.
    [11]AMO E,MEYER H,CARRILLO M,et al.Characterization of copulas with given diagonal and opposite diagonal sections[J].Fuzzy Sets and Systems,2014,284:63-77.
    [12]BERNARDINO E,RULLIRE D.On tail dependence coeffecients of transformed multivariate Archimedean copulas[J].Fuzzy Sets and Systems,2016,284:89-112.
    [13]GENEST C,MOLINA J,SEMPI C.A characerization of quasi-copulas[J].Journal of Multivariate Analysis,1999,69(2):193-205.
    [14]CUCULESCU I,THEODORESCU R.Copulas:diagonals and tracks[J].Rev Roumaine Math Pures Appl,2001,46:731-742.
    [15]NELSEN R,MOLINA J,LALLENA J,et al.Best-possible bounds on sets of bivariate distribution functions[J].Journal of Multivariate Analysis,2004,90(2):348-358.
    [16]曾霞,何平.基于g函数的多元copula的构造[J].数理统计与管理,2008,27(5):843-849.ZENG X,HE P.Construction of n-copula dependence on gfunction[J].Appliction of Statistics and Management,2008,27(5):843-849.

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