期刊文献+

基于小波分析的中国A,B股市场相关性研究 被引量:5

Study on Correlation Between A Share Market and B Share Market in China Based on Wavelet Analysis
下载PDF
导出
摘要 考虑市场波动的时变性,采用小波分析的方法研究中国沪、深两市A,B股市场的相关性,利用小波函数的多尺度变化与不同持有期相对应,将中国沪、深两市A,B股市场之间的相关系数进行了多尺度分解.结果表明:B股股价的波动性明显大于A股股价,随着时间尺度的增加,小波方差和股价波动性逐渐减小;构成中国A股市场的沪市与深市、B股市场的沪市与深市的相关一致性要比A,B股市场间的相关一致性高;利用小波分析方法可以对不同市场的相关时变性进行研究,并可从相关的角度研究两个市场的分割性. With the time-varying characteristic of market fluctuations taken into account,the correlation between the A share market and B share market in both Shanghai and Shenzhen Stock Exchanges was discussed by wavelet analysis,i.e.,the multi-scale change in wavelet function was introduced to correspond with the holding period of the shares purchased,then the correlation coefficient between the A and B shares is decomposed on multi-scale.The empirical result showed that price fluctuations of B shares is obviously higher than that of A shares,and the wavelet variance and share price fluctuations gradually decrease with the increasing time scale.Besides,the correlative uniformity between the Shanghai and Shenzhen Stock Exchanges,both are for buying/selling A and B shares,is higher than that between A share market and B share market.The wavelet analysis was thus proved able to investigate effectively the correlative time-varying characteristics of two share markets in China and their segmentability from the perspective of correlation.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2010年第5期750-752,756,共4页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(70771023) 中国博士后科学基金资助项目(20080431147)
关键词 多期相关系数 A B股市场 小波分析 市场分割性 multi-horizon correlation coefficient A share and B share markets wavelet analysis market segmentability
  • 相关文献

参考文献9

  • 1Percival D B,Walden A T.时间序列分析的小波方法[M].程正兴(译).北京:机械工业出版社,2005.295-316.
  • 2Ramsey J, Usikov D, Zaslavsky G. An analysis of US stock price behavior using wavelets [ J ]. Fractals, 1995,3 (2) : 377 - 389.
  • 3Ramsey J, Zhang Z. The analysis of foreign exchange rate data using waveform dictionaries [ J ]. Journal of Empirical Finance, 1997,4(1) :341 - 372.
  • 4Gencay R, Whitcher B, Selcuk F. Differentiating intraday seasonalities through wavelet multi-scaling [J].Physica A, 2001,28(9) :543 - 556.
  • 5Gencay R, Whitcher B, Selcuk F. Systematic risk and time scales[Jl. Quantitative Finance, 2003,3(1 ) : 108 - 116.
  • 6Gencay R, Whitcher B, Selcuk F. Multi-scale systematic risk [J]. Journal of International Money and Finance, 2005,24 (1):55-70.
  • 7Kim S, In F. On the relationship between changes in stock prices and bond yields in the G7 countries: wavelet analysis [ J ]. Journal of International Financial Markets, Institutions & Money, 2007,17(2):167-179.
  • 8徐梅,张世英.基于小波分析的金融波动分析[J].系统工程理论与实践,2005,25(2):1-9. 被引量:44
  • 9邹功达,陈浪南.中国A股与B股的市场分割性检验[J].经济研究,2002,37(4):51-59. 被引量:54

二级参考文献30

  • 1Breidt F J,Crato N,Lima P.The detection,estimation of long memory in stochastic volatility [J].Journal of Econometrics,1998,83:325-348.
  • 2Percival D B,Walden A T. Wavelet Methods for Time Series Analysis [M].Cambridge University Press,Cambridge, U K, 2000.
  • 3Percival D B.On estimation of the wavelet variance[J].Biometrika, 1995,82:619-631.
  • 4Abry P,Veitch D,Flandrin P.Long-range dependence:revisiting aggregation with wavelets[J].Journal of Time Series Analysis, 1998,19:253--266.
  • 5Whitcher B,Guttorp P,Percival D B.Wavelet analysis of covariance with application to atmospheric time series[J].Journal of Geophysical Research, 2000,105:14941--14962.
  • 6Gencay R.Scaling properties of foreign exchange volatility[J]. Physica A,2001,289: 249-266.
  • 7Jensen M J. An alternative maximum likelihood estimator of long memory process using compactly supported wavelets[J].Journal of Economic Dynamics & Control, 2000, 24: 361-387.
  • 8Baillie R T. Long memory process and fractional integration in econometrics[J]. Journal of Econometrics,1996,73:5-59.
  • 9Alexander, Gorgon J., Cheol S. Eun, and S. Janakiramanan, 1987, Asset Pricing and Dual Listing on Foreign Capital Markets: A Note, Journal of Finance 42,151-158.
  • 10Bekaert, Geert, and Campbell Harvey, 1995, Time varying World Market Integration, Journal of Finance 50,403-444.

共引文献97

同被引文献119

引证文献5

二级引证文献55

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