期刊文献+

图形技术分析的统计刻画 被引量:1

The Statistical Characterization of Chart-Based Technical Analysis
原文传递
导出
摘要 本文在Lo等(2000)研究的基础上,给出了基于局部极值点刻画的4种技术形态的数学定义,并基于局部多项式估计方法给出了这些形态的自动识别算法。应用所提出的算法对我国沪市A股进行了图形技术分析的实证研究。研究结果表明本文定义的技术形态包含一般统计意义上显著的附加信息,从而证明了图形技术分析的有效性。 Based on Lo etc's work(2000), we propose four mathematical definitions for technical pattern by local extreme methods and give an automatic algorithm the technical pattern recognition by using nonparametric local polynomial method. Then we do empirical study on Shanghai stocks for the chart-based technical analysis by applying the proposed method. Empirical results show that the chart- based technical analysis contains general significant additional information in statistical sense, which illustrates its effectiveness.
出处 《数理统计与管理》 CSSCI 北大核心 2012年第2期348-353,共6页 Journal of Applied Statistics and Management
基金 国家自然科学基金资助(项目编号:10971042)
关键词 图形技术分析 局部多项式估计 形态识别 chart-based technical analysis, local polynomial model, pattern recognition
  • 相关文献

参考文献8

  • 1Andrew W Lo,Harry Mamaysky,Jiang Wang.Foundations of technical analysis:Computational Algorithms,Statistical inference,and Empirical implementation[J].The Journal of financel5,2000, 8(4):1705-1765.
  • 2Levy R A.The Predictability Significance of Five-Point Chart Patterns[J].Journal of Business,1971, 44(3):316-323.
  • 3J.Fan,I.Gijbels.Local Polynomial Modeling and Its Applications[M] ,New York:Chapman and Hall,1996:1-126.
  • 4李明新.技术分析的统计基础及股票价格的一般分布[D].广州:广州大学,2005:1-45.
  • 5欧阳红兵 王小卒.图形技术交易规则的预测能力和盈利能力.中国金融学,2004,(2):129-153.
  • 6陈卓思,宋逢明.图形技术分析的信息含量[J].数量经济技术经济研究,2005,22(9):73-82. 被引量:16
  • 7方国斌,马慧敏.上海股市收益率序列簇生特征局部线性平滑分析[J].数理统计与管理,2009,28(3):523-530. 被引量:1
  • 8张德丰.MATLAB概率与数量统计分析[M].北京:机械工业出版社,2010.

二级参考文献26

  • 1Gilles Teyssier, Alan P Kirman (Ed.). Long Memory in Economics [M]. Heidelberg: Springer Berlin, 2007.
  • 2Engle R F. Autoregressive conditional Heteroskedasticity with estimates of the variance of the United Kingdom inflation [J]. Econometrica, 1982, 50: 987-1007.
  • 3Bollerslev T. Generalized autoregressive conditional heteroskedasticity [J]. Econometrics, 1986, 31: 307-327.
  • 4Baillie R T, Boilerslev T and Mikkelsen H O. Fractionally integrated generalized autoregressive conditional heteroskedasticity [J]. Journal of Econometrics, 1996, 74: 3-30.
  • 5Fan J Q, Gu J. Semiparametric estimation of Value at Risk [J]. The Econometrics Journal, 2003, 6(2): 261-290.
  • 6Fan J, Gijbels I. Local Polynomial and Its Application [M]. New York: Chapman & Hall, 1996.
  • 7Fan J, Yao Q. Nonlinear time series: nonparametric and parametric methods [M]. New York: Springer-Verlag, 2002.
  • 8Jones M C. A variation on local linear regression [J]. Statistica Sinica, 1997, 7: 1171-1180.
  • 9Hastie T J, and Tibshirani R J. Generalized Additive Models [M]. London: Chapman & Hall, 1990.
  • 10Morgan J P, Reuters Ltd. RiskMetrics Technical Documents [A]. Fourth Edition, December, 1996.

共引文献17

同被引文献15

引证文献1

二级引证文献7

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