数学物理学报 ›› 2020, Vol. 40 ›› Issue (4): 1072-1082.

• 论文 • 上一篇    下一篇

有限二阶矩情形与重尾情形下的Hurst参数

吴量()   

  1. 西南财经大学统计学院统计研究中心 成都 611130
  • 收稿日期:2020-02-21 出版日期:2020-08-26 发布日期:2020-08-20
  • 作者简介:吴量, E-mail: wuliang@swufe.edu.cn
  • 基金资助:
    国家自然科学基金(61903309);中央高校基本科研业务费(JBK1806002)

Hurst Parameter Under Finite Second Moment and Under Heavy Tails

Liang Wu()   

  1. Center of Statistical Research, School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130
  • Received:2020-02-21 Online:2020-08-26 Published:2020-08-20
  • Supported by:
    the NSFC(61903309);the Fundamental Research Funds for the Central Universities(JBK1806002)

摘要:

Hurst参数被广泛应用于序列长记忆性与自相似性的刻画.该文从最初计算Hurst参数的$R/S$统计量出发,在有限二阶矩与重尾两种情形下,讨论$R/S$统计量计算的Hurst参数与自相似性、长记忆性及重尾特性之间的关系.在有限二阶矩情形下,$R/S$统计量计算的Hurst参数与自相似参数一致,并能刻画协方差定义的长记忆性.在无限二阶矩的重尾情形下,联系Hurst参数与长记忆性的协方差可能无限,很难讨论他们之间的关系.而$R/S$统计量与自相似参数及尾指数也没有必然联系.该内容能使已被广泛应用的Hurst参数的实际含义更清晰.

关键词: Hurst参数, 长记忆性, 重尾, 自相似性, 分数布朗运动

Abstract:

Hurst parameter is widely used to characterize long memory and self-similarity in series. This paper introduces the relations between the Hurst parameter originally calculated by the $R/S$ statistic and the self-similarity, long memory, heavy tails under finite second moment and under heavy tails. In the case of finite second moment, the Hurst parameter calculated by the $R/S$ statistic is consistent with the self-similar parameter, and can describe the long memory defined by covariance. In the case of heavy tails with infinite second moment, the covariance linking Hurst parameter with long memory is infinite, and their relationship cannot be discussed. The $R/S $statistic is not necessarily related to self-similar parameters and tail index either. These contents can make the practical meaning of Hurst parameter clear.

Key words: Hurst parameter, Long memory, Heavy tails, Self-similarity, Fractional Brownian motion

中图分类号: 

  • O211