期刊文献+

股市收益率与交易量长记忆性实证研究 被引量:10

An Empirical Research on Long-Term Memory of Returns and Trading Volumes of Stock Markets in China
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摘要 从计量经济学及统计学的角度,运用重标极差分析、修正重标极差分析、KPSS检验及Granger因果检验等方法,对我国沪深股市收益率与交易量的长记忆性特征进行了实证分析,并进一步研究了股市收益率与交易量之间的相互关系.重标极差分析及修正重标极差分析的实证研究结果表明,收益率及交易量序列的Hurst指数均大于0.5,且成交量序列的Hurst指数明显高于收益率序列;此外收益率及交易量的KPSS统计结果对于所有滞后阶数均显著.上述结果说明中国股市收益率和成交量均具有长记忆性特征,且成交量的长记忆性强于收益率的长记忆性;Granger因果检验结果表明收益率和成交量之间存在着相互引导关系. From the perspectives of econometrics and statistics, the long-term memory of returns and trading volumes of stock markets in China was studied by adopting rescaled range analysis, modified rescaled range analysis, KPSS and Granger causality test, and the interrelationship between returns and trading volumes was studied as well. The results of rescaled range analysis and modified rescaled range analysis indicate that the Hurst exponents of return series and trading volume series are both greater than 0.5 and the Hurst exponents of trading volume series are significantly greater than those of return series. In addition, the KPSS statistics of return series and trading volume series are all significant for all lag orders, which suggests that returns and trading volumes of stock markets in China have a long-term memory, with the long-term memory of trading volumes being stronger than that of returns. Moreover, Granger-causality test proved that a relationship of mutual causality exists between returns and trading volumes.
出处 《东北大学学报(自然科学版)》 EI CAS CSCD 北大核心 2012年第7期1056-1059,1064,共5页 Journal of Northeastern University(Natural Science)
基金 国家自然科学基金资助项目(70901017 71001022 71171042) 中央高校基本科研业务费专项资金资助项目(N100406003) 中国博士后科学基金资助项目(200902546)
关键词 长记忆性 收益率 交易量 KPSS检验 重标极差分析 long-term memory returns trading volumes KPSS test rescaled range analysis
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参考文献11

  • 1Peters E E. Fractal market analysis[ M ]. New York: Wiley, 1994:54-60.
  • 2Mandelbrot B 13. Fractals and scaling in finance: discontinuity, concentration, risk [ M ]. New York: Springer-.Verlag, 1997 : 145 - 197.
  • 3Kang S H, Yoon S M. Long memory properties in return and volatility: evidence from the Korean stock market [ J ]. Physica A, 2007,385(2) :591 - 600.
  • 4Disario R, Saraoglu H, Mc Carthy J, et al. Long memory in the volatility of an emerging equity market: the case of Turkey [ J ]. Journal of International Financial Markets, Institutions and Money, 2008,18(4) :305 - 312.
  • 5Lin X Q, Fei F Y, Wang Y D. Analysis of the efficiency of the Shanghai stock market: a volatility perspective[J]. Physica A, 2011,390 (21/22) : 3486 - 3495.
  • 6Lo W. Loog-term memory in stock market prices [ J ]. Econometrica, 1991,59(5) : 1279 - 1313.
  • 7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
  • 8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
  • 9Muchnik L, Bunde A, Havlin S. Long memory in extreme returns of financial time series[J ]. Physica A, 2009,388(19) : 4145 - 4150.
  • 10Qiu T, Zhong L X, Chen G, et al. Statistical properties of trading volume of Chinese stocks. [ J ]. Phydca A, 2009, 388 (12) :2427 - 2434.

二级参考文献23

  • 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
  • 3Mandelbrot B B. Forecasts of future prices,unbiased markets and martingale models[ J]. J. Business, 1967,39:242 - 255.
  • 4Adrew W. Lo. Long-term memory in stock market prices [ J ]. Econometrica, 1991,59 : 1279 - 1313.
  • 5Cheung Y, Lai K. A search for long memory in international stock market returns [ J ]. Journal of international Money and Finance, 1995,14:579 - 615.
  • 6Hurst H E. Long-term storage capacity of reservoirs [ J ]. American Society of Civil Engineers, 1951,116:770 -799.
  • 7Andrews D. Heteroskedasticity and Autocorrelation Consistent covariance Matrix Estimation [ J ]. Econometrica,1991,59:817 -858.
  • 8Barkoulas, J. T., Baum, C. F., and Travlos, N.. Long Memory in the Greek Stock Market[J]. Applied Financial Economics, 2000, 10(2): 177-184.
  • 9Panas, 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.
  • 10Sourial.M.S. Long Memory Process in the Egyptian Stock Market.SSRN Working Paper,2002.

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