期刊文献+

基于生存分析的上证指数连涨连跌天数研究

The Days of Shanghai Stock Index Successive Rises and Fall Base on Survival Analysis
下载PDF
导出
摘要 针对2005年6月6日—2010年5月12日的上证指数连涨连跌天数进行统计、分析和建模,发现连涨天数和连跌天数的频率直方图与几何分布趋势近似。同时,对连涨连跌天数的生存函数估计、概率密度函数估计、危险率函数估计进行了研究。研究表明当连涨连跌1~4d有一定的可能发生,当天数>4d时,再继续生存下去的概率都<0.1。且当连涨天数t为1,2,...,5时,在连涨条件下的危险率基本稳定在0.4~0.5,表明无论上涨多少天,其下跌情况也基本稳定,而在t为6时,危险率函数降为0.3,说明在连涨5d后,不会再下跌的可能性非常小。这有助于对股指涨跌的可能性作出估计,并进行相关的金融研究。 This paper conducts statistics,analysis and modeling on the data of days of successive rises and falls of Shanghai stock index from June 6,2005 to May 12,2010,and finds that the frequency histogram of the days of successive rises and falls is similar to the geometric distribution trend.Meanwhile,the survival function estimation,probability density function estimation,and risk function estimation of the days of successive rises and falls are also studied in the paper.The research shows that the happening of the number of days of successive rises and falls from 1 to 4 days is certain.When the days of successive rises and falls is greater than 4,the probability of survival is less than 0.1.Moreover,when the number of consecutive days as t is 1,2,…,and 5,the risk rate is basically stable at 0.4 to 0.5 under the condition of successive rises,indicating that no matter how many days in increasing,the fall is also basically stable.When t is 6,the risk function drops to 0.3,indicating that it is very unlikely that the index will not fall after rising for 5 consecutive days.This is helpful to estimate the possibility of the rises and falls of the stock index,and conduct relevant financial research.
作者 黄飞 孙怡川 陶明珠 HUANG Fei(School of General Education and Foreign Languages,Anhui Institute of Information Technology,Wuhu Anhui 241000,China)
出处 《长春工程学院学报(自然科学版)》 2020年第2期115-118,共4页 Journal of Changchun Institute of Technology:Natural Sciences Edition
基金 安徽省教育厅高校自然科学研究重点项目(KJ2019A1289) 安徽省重大教学研究项目(2017jyxm0947)
关键词 连涨 生存函数 概率密度函数 危险率函数 the days of successive rises and falls survival function probability density function risk function
  • 相关文献

参考文献4

二级参考文献25

  • 1Lawless JE 茆诗松等(译).寿命数据中的统计模型与方法[M].北京:中国统计出版社,1998.. 被引量:5
  • 2雷鸣 缪柏其 宁静.[D].台肥:中国科技大学统计与金融系,2001. 被引量:1
  • 3Lee Elisa T.生存数据分析的统计方法[M].中国统计出版社,1998.. 被引量:2
  • 4JFLawless.《寿命数据中的统计模型与方法》[M].中国统计出版社,1998年版.. 被引量:2
  • 5Elisa T.Lee.《生存数据分析的统计方法》,中国统计出版社,1998. 被引量:1
  • 6Bollerslev, T., Generalized autoreggressive conditional heteroskedasticity, Journal of Econometfics, 1986, 31, 307-327. 被引量:1
  • 7Cox, D.R. (1972a) .Regression models and life tables (with discussion) .J.R.Stat.Soc.B,34, 187-202. 被引量:1
  • 8Embrechts, P., Kluppelberg, C.and Mikoseh, T. (1997) . Modelling Extremal Events for Insurance and Finance. Springer, New York. 被引量:1
  • 9Engle, R.F., 1982.Autoreggressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflations. Econometrica 50, 987-1007. 被引量:1
  • 10Engle, R.F., 2000. The econometrics of ultra- high frequency data. Econometrica 68, 1-22. 被引量:1

共引文献19

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