期刊文献+

带有结构变点的长记忆模型的实证研究

Empirical Research on the Long Memory Model with Structural Changes
在线阅读 下载PDF
导出
摘要 运用改进的Tapered对数周期图方法对带有结构变点的长记忆模型的参数和变点进行估计,对上证指数的波动性进行长记忆检验及变点讨论,研究结果表明,上证指数的波动率序列同时具有显著的长记忆特性以及结构变点。 In this paper,the modified tapered log-periodogram method is proposed for estimating the long memory parameter and the change point.We apply it to test the long memory and discuss the change point of the volatility of the Shanghai stock market index The results show that the series of the volatility of Shanghai stock market index have significant long memory features and structural change points simultaneously.
出处 《安庆师范学院学报(自然科学版)》 2011年第1期35-37,84,共4页 Journal of Anqing Teachers College(Natural Science Edition)
关键词 长记忆 结构变点 Tapered对数周期图 long memory change point Tapered log-periodogram
  • 相关文献

参考文献11

  • 1Mike K. Long -term memory in stock market volatility[ J ]. Applied Financial Economics,2000 (100) :519 -524.
  • 2Philipp Sibbertsen. Long memory in volatilities of German stock returns [ J ]. Empirical Economics,2004 ( 290 ) :477 - 488.
  • 3苑莹,庄新田.中国股票市场的长记忆性与市场发展状态[J].数理统计与管理,2008,27(1):156-163. 被引量:15
  • 4Svetlana Danilenko. Long- term memory effect in stock price anasis[ J ]. Economics & Management,2009 (14) :151 -155.
  • 5Geweke J. , Porter - Hudak S.. The Estimation an Application of Long - Memory Time Series Models[ J] ,Joural of Time Series Analysis, 1983 (4) :221 -237.
  • 6Robinson P. Gaussian semiparametric estimation of long range dependence[ J ]. Annals of Statistics, 1995 (23) :1 630 -1 661.
  • 7Sibbertsen P.. Log - periodogram estimation of the memory parameter of a long memory process under trend [ J ]. Statistics&Probability letters, 2003 (61) :261 - 268.
  • 8Chih - Chiang Hsu. Long memory or structural changes:An empirical examination on inflation rates [ J ]. Economics Letters,2005 (88) :289 - 294.
  • 9Hurvich C. , Deo R. , Brodsky J.. The mean squared error of geweke and Porter - Hudak' s estimator of the memory parameter of a long mem- ory time series [ J ]. Joural of Time Series Analysis , 1998 (19) :19 -46.
  • 10陈希孺.变点统计分析简介[J].数理统计与管理,1991,10(2):52-59. 被引量:83

二级参考文献19

  • 1王新宇,宋学锋,吴瑞明.中国证券市场的分形分析[J].管理科学学报,2004,7(5):67-74. 被引量:19
  • 2胡彦梅,张卫国,陈建忠.中国股市长记忆的修正R/S分析[J].数理统计与管理,2006,25(1):73-77. 被引量:21
  • 3R. C. Gonzalez, R. E. woods. Digital Image Processing using MATLAB[M]. S. L. Eddins:108--138.
  • 4吴强 郭光灿.光学[M].合肥:中国科学技术大学出版社,2001..
  • 5冈萨雷斯.数字图像处理(第二版)[M].电子工业出版社,2003.
  • 6Barkoulas, J. T., Baum, C. F., and Travlos, N.. Long Memory in the Greek Stock Market[J]. Applied Financial Economics, 2000, 10(2): 177-184.
  • 7Panas, Epaminondas. Estimating Fractal Dimension Using Stable Distribution and Exploring Long Memory through ARFIMA Models in Athens Stock Exchange[J]. Applied Financial Economics, 2001, 11: 395-402.
  • 8Sourial.M.S. Long Memory Process in the Egyptian Stock Market.SSRN Working Paper,2002.
  • 9Norouzzadeh, P., Jafari, G. Ro. Application of Multifractal Measures to Tehran Price index[J]. Physica A, 2005, 356: 609-627.
  • 10Lo, A. W.. Long-term Memory in Stock Market Prices[J]. Econometrica, 1999, 59: 1279-1313.

共引文献98

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