题名

The Statistical Analysis of the Log-Return Series of the Chinese Stockprices: An Application of the Generalized Hyperbolic Distributions

并列篇名

中国股价日对数收益率的统计分析-广义双曲分布的应用

DOI

10.6338/JDA.200704_2(2).0008

作者

李会琼(Hui-Qiong Li);吴刘仓(Liu-Cang Wu)

关键词

广义的双曲分布 ; 厚尾 ; Kolmogorov-Smirnov检验 ; Generalized Hyperbolic Distribution ; Fat Tails ; Kolmogorov-Smirnov test

期刊名称

Journal of Data Analysis

卷期/出版年月

2卷2期(2007 / 04 / 01)

页次

161 - 178

内容语文

英文

中文摘要

本文使用广义的双曲分布(GH分布),选取了深沪两市共11只股票,对股票价格的日对数收益率的概率分布进行了深入的研究。在所有的情形,GH分布都给出了非常令人满意的拟和。这表明GH分布作为股票日对数收益率的分布,在中国股市是一个很好选择。

英文摘要

This paper has studied the distributions of the log returns of the Chinese stock market, using the Generalized Hyperbolic Distributions (GH) as the reference distributions. The empirical results shows that in almost all the cases, both Normal Inverse Gaussian (NIG)distribution and the Hyperbolic distribution can fit the data very well.

主题分类 基礎與應用科學 > 資訊科學
基礎與應用科學 > 統計
社會科學 > 管理學
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