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基于Copula函数和非参数估计的尾部相关性
引用本文:王晓丽,席金平,吴润衡.基于Copula函数和非参数估计的尾部相关性[J].数学的实践与认识,2009,39(7).
作者姓名:王晓丽  席金平  吴润衡
作者单位:1. 北方工业大学理学院,北京,100144
2. 北方工业大学图书馆,北京,100144
摘    要:给出基于Copula函数的尾部相关性的定义和性质,采用非参数方法估计尾部相关系数.结合数据得出上证指数和深圳指数的尾部相关系数和对应图形比较,可知两种股票的上尾比下尾相关性强.此相关系数反映了上证指数与深圳指数在极端值处同时小于或同时大于某个数值的概率大小.

关 键 词:Copula函数  尾部相关  尾部相关系数  非参数估计

Tail-dependence Correlation Based on Copula Function and Non-parameter Estimation
WANG Xiao-li,XI Jin-ping,WU Run-heng.Tail-dependence Correlation Based on Copula Function and Non-parameter Estimation[J].Mathematics in Practice and Theory,2009,39(7).
Authors:WANG Xiao-li  XI Jin-ping  WU Run-heng
Abstract:The paper gives definition and character of tail dependence based on Copula function,uses the non-parameter estimation to estimate tail-dependence coefficient.Combine the data of SZZS and SZZZ,we obtain tail-dependence coefficient and corresponding graphs, compare them and then conclude that the upper tail-dependence correlation is stronger than lower tail-dependence correlation.The dependence coefficients reflect probability when extreme value is more than or less than some numerical value at the same time.
Keywords:copula function  tail-dependence  tail-dependence coefficient  non-parameter estimation
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