期刊文献+

上海证券市场收益率的正态性检验 被引量:4

The normal test of the return ratio in Shanghai stock market
在线阅读 下载PDF
导出
摘要 就上证综合指数收益率是否服从正态分布给出了正态概率图和JB检验两种检验方法,得出了收益率分布与正态分布有明显的偏差,厚尾现象比较严重.并且对日收益率用t分布进行拟合,效果比较好. In terms of that composite index in Shanghai Stock Exchange (SSE) obeys normal distribution or not, two test methods which are normal probability plot and JarqueBera test (JB) are presented. It is proved that there exists obvious difference between return rate distribution and normal distribution, and that there exists serious fat tail. While day return rate in SSE is fitted by t distribution, and it can be seen that the fitting results is better than the normal distribution.
出处 《纺织高校基础科学学报》 CAS 2003年第3期246-248,256,共4页 Basic Sciences Journal of Textile Universities
基金 国家自然科学基金资助项目(10231060).
关键词 对数收益率 正态性检验 T分布 logarithmic return rate normal distribution test t distribution
  • 相关文献

参考文献4

共引文献29

同被引文献41

  • 1丁楚曼.我国绿色信贷发展现状研究——基于21家商业银行数据分析[J].时代金融,2020(27):40-42. 被引量:4
  • 2马玉林,施红俊,陈伟忠.沪深股市周收益率分布的实证研究[J].经济数学,2003,20(4):52-57. 被引量:1
  • 3Benati S, Rizzi R. A mixed integer linear programming formulation of the optimal mean/Value-at- Risk portfolio problem [J]. European Journal of Operational Research, 2007, 176: 423-434.
  • 4Artzner P, Delbaen F, Eber J M, and Heath D. Coherent Measure of Risk [J]. Mathematical Finance, 1999, 9(3): 203-228.
  • 5Danielsson J, Jorgensen B N , Sarma M, and Vries C G. Subadditivity re-examined: the case for Value-at-Risk JR]. Working paper, http://www.eurandom.tue.nl/reports/2005/006MSreport.pdf, 2005.
  • 6Riksen, Haliharanna. Beyond VaR. Expected Extremity Associated Risk (EXAR).
  • 7.[EB/OL].http: //www. gloriamundi, org.,.
  • 8孙山泽.非参数统计讲义[M].北京:北京大学出版社,2002.
  • 9Peters E. Chaos and order in the capital markets: A new view of cycles, prices and market volatility[ J]. New York: John Wiley and Sons, 1991.
  • 10Smith J. The Probability Distribution of Market Returns: A Logistic Hypothesis [ D]. Salt Lake City: University of Utah, 1981.

引证文献4

二级引证文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部