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金融波动持续性的研究 被引量:8

Research on the Persistence of Financial Volatility
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摘要 本文首先介绍了金融市场中单个变量波动持续性的含义 ,包括一阶意义上的的长记忆性以及二阶意义上的方差持续性 ,概述了已有的模型 ,运用分形市场理论阐明了波动持续性的经济涵义和市场机制。然后 ,指出了多个变量波动之间协同关系的研究方法 :分数维协整和方差协同持续 ,并介绍了各自的建模方法。最后 ,研究了文献中尚属空白的VaR的波动持续性问题 ,提出了FITSGARCH模型并进行了VaR波动持续性的讨论。 The paper first introduces the meaning of volatility of single variable in financial market, which includes the long memory in mean and persistence in variance, and summarizes the existing models. We use fractal market theory to illustrate the market mechanism of volatility persistence. Then we go on with the correlation between multi-variable: fractional co-integration and co-persistence in variance, and discuss their modeling method. In the end, the paper studies the persistence of VaR volatility, which is still vacant in literature, and present the FITSGARCH model to analyze the persistence of VaR volatility.
作者 樊智 张世英
出处 《预测》 CSSCI 2003年第1期33-37,共5页 Forecasting
基金 国家自然科学基金资助项目 (70 1710 0 1)
关键词 波动持续性 分形市场 金融市场 价格波动 financial volatility fractal market persistence Value at Risk
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参考文献27

  • 1Fama E F. Efficient capital market: a review of theory and empirical work[J]. Journal of Finace, 1970,25(2):383-417.
  • 2张俊国,杨丽琴,潘德惠.有效市场理论评述[J].系统工程,1999,17(2):8-12. 被引量:10
  • 3Mandelbrot B B, et al.. Fractional brownian motions,fractional noises and applications [ J ]. SIAM Review,1968,10(4) :422-437.
  • 4Granger C W J, Joyeux R. An introduction to long memory time series models and fractional differencing[J]. Journal of Time Series Analysis, 1980, (1): 15-39.
  • 5Brockwell P J, Davis R A. Time series: theory and methods[M]. Springer-Verlag, 1991.
  • 6Peters E E. Chaos and order in the capital markets[M].Wiley, New York, 1991.
  • 7樊智,张世英.金融市场的效率与分形市场理论[J].系统工程理论与实践,2002,22(3):13-19. 被引量:48
  • 8张喜彬,孙青华,张世英.非线性协整关系及其检验方法研究[J].系统工程学报,1999,14(1):57-68. 被引量:26
  • 9Geweke J, Porter-Hudak S. The estimation and application of long memory time series models [ J ]. Journal of Time Series Analysis, 1983,4: 221-237.
  • 10Lo W. Long-term memory in stock market prices[J].Econometrica, 1991,59 (5): 1279-1313.

二级参考文献33

  • 1黄小原.金融工程:现状和进展[J].系统工程,1996,14(4):28-34. 被引量:11
  • 2陈平 汤敏 等.新古典经济学的局限和非线性经济学的发展.现代经济学前沿(第一集)[M].-,..
  • 3李汉英 张世英.随机波动模型的持续性研究.中国系统工程学会第十一届年会文集[M].,2000.375-380.
  • 4[1]Baillie Richard T, Tim Bollerslev, Hans Ole Mikkelsen. Fractionally integrated generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 1996, 74: 3~30.
  • 5[2]Bollerslev Tim. Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 1986, 31: 307~327.
  • 6[3]Bollerslev Tim, Chou R Y, Kroner K F. ARCH modeling in finance: a review of the theory and empirical evidence. Journal of Econometrics, 1992, 52: 5~59.
  • 7[4]Bollerslev Tim, Engle Robert F. Common persistence in conditional variance. Econometrca, 1993, 61 : 167~186.
  • 8[5]Bollerslev Tim, Hans Ole Mikkelsen. Modeling and pricing long memory in stock market volatility. Journal of Econometrics, 1996, 73: 151~ 184.
  • 9[6]Engle R F. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 1982, 50: 987~1008.
  • 10[7]Engle R F, Bollerslev T. Modeling the persistence of conditional variances. Econometric Reviews. 1986, 5: 1~50.

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