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股票日内交易数据特征和波幅的分析 被引量:27

An analysis of the Characteristics and amplitude of the stock exchange data within trading day
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摘要 The intraday periodicity in the returns volatility in China stock markets is shown to have a strong impact on the dynaminc properties of high frequency returns, the periodic modelling procedure developed in this paper provides a framework and gives some extended volatility models with market microstructure features for us to comprehend the high frequency volatility clustering phenomena.We find some interesting results such as W\|shaped trading process partern in a trading day,and information effects are also empirically relevant,we offer some explanations. The intraday periodicity in the returns volatility in China stock markets is shown to have a strong impact on the dynaminc properties of high frequency returns, the periodic modelling procedure developed in this paper provides a framework and gives some extended volatility models with market microstructure features for us to comprehend the high frequency volatility clustering phenomena.We find some interesting results such as W\|shaped trading process partern in a trading day,and information effects are also empirically relevant,we offer some explanations.
作者 刘勤 顾岚
出处 《统计研究》 CSSCI 北大核心 2001年第4期36-42,共7页 Statistical Research
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参考文献5

  • 1[1]Andersen, T. G. & T., Bollerslev, 1997, Intraday Periodicity and Volatility Persistence in Financial Markets,Journal of Empirical Finance.
  • 2[2]Bollerslev, T., R. F. Engle, & D. B. Nelson, 1994,ARCH models, in Handbook of Econometrics, Vol 4,eds R.F. Engle & D. L. McFadden, Elsevier Science.
  • 3[3]Easley,D.& O'Hara, 1992,Time and the Process of Security Price Adjustment, The Journal of Finance.
  • 4[4]Pierre Giot, 1999, Time Transformations, Intraday Data and Volatility Models, Discussion Paper.
  • 5[5]Pierre Lequeux, (eds), 1999,Financial Markets Tick by Tick, John Wiley & Sons Ltd.

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