期刊文献+

多分辨持续及协同持续研究 被引量:4

Reasearch on MultiResolution Persistence and Common Persistence
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摘要 为刻画金融风险随时间尺度的变化关系,基于小波分析和脉冲响应分析,给出了多分辨持续及多分辨协同持续的定义,扩展了先前有关波动持续及协同持续相关主题的讨论,分析了多分辨持续的三种状态并论证了多分辨协同持续与协整之间的对应关系.这为描述金融风险的动态变化特征和消除其影响提供了理论依据,并给出实证加以验证. In order to capture the changing relations of the financial risk with the time scale, the definition of muhiresolution persistence and common persistence is put forward based on the wavelet and the impulse response analysis. The formely discussion about volatility persistence and common persistence has been expanded by the new definition. In the article, three status of the persistence are discussed, and the corresponding relations between common persistence and cointegraiton are demonstrated, which provide theoretical foundation for describing the dynamic character of financial risk and removing its influence. Finally, the empirical study is conducted.
出处 《系统工程理论与实践》 EI CSCD 北大核心 2007年第2期36-45,共10页 Systems Engineering-Theory & Practice
基金 国家自然科学基金(70471050) 国家统计科研项目(2006B07)
关键词 波动持续 协同持续 多分辨 小波 volatility persistence common persistence multiresolution wavelet
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参考文献12

  • 1Engle R F,Bollerslev T.Modeling the persistence of conditional varianees[J].Econometric Reviews,1986,5(1):1-50.
  • 2Bollerslev T,Engle R F.Common persistence in conditional variances[J].Eeonometrica,1993,61(1):167-186.
  • 3Xu Q F,Zhang Sh Y.Research on muhiresolution recognition of risk and portfolio[C]//Proceedings of 2005 International Conference on Machine Learning and Cybernetics,2005,6:3469-3474.
  • 4Ramsey J B,Zhang Z.The analysis of foreign exchange data using waveform dictionaries[J].Journal of Empirical Finance,1997,4:341-372.
  • 5Percival D B,Walden A T.Wavelet Methods for Time Series Analysis[M].Cambridge,U.K.:Cambridge University Press,2000.
  • 6Gencay R,Selcuk F,Whitcher B.Scaling properties of foreign exchange volatility[J].Physica A,2001,289:249-266.
  • 7Martin V L,Wilkins N P.Indirect estimation of ARFIMA and VARFIMA models[J].Journal of Econometrics,1999,93:149-175.
  • 8许启发,张世英.向量FIGARCH过程的持续性[J].系统工程,2005,23(7):1-6. 被引量:5
  • 9Chang C F.Calculating and analyzing impulse responses for the vector ARFIMA model[J].Economics Letters,2001,71:17-25.
  • 10程细玉,张世英.向量分整序列的协整研究[J].系统工程学报,2000,15(3):253-257. 被引量:19

二级参考文献15

  • 1LI Han-dong, ZHANG Shi-ying School of Management, Tianjin University, Tianjin 300072, China.Common Persistence and Error-Correction Mode in Conditional Variance[J].Journal of Systems Science and Systems Engineering,2001,13(3):257-264. 被引量:15
  • 2Baillie R T, Bollerslev T, Mikkelsen H O. Fractional integrated generalized autoregressive conditional heteroskedasticity[J]. Journal of Econometrics,1996,74:3~30.
  • 3Engle R F, Bollerslev T. Modeling the persistence of conditional variances[J].Econometric Reviews, 1986,5(1):1~50.
  • 4Bollerslev T, Engle R F. Common persistence in conditional variances[J] . Econometrica,1993,61(1):167~186 .
  • 5Brunetti C,Gilbert C L. Bivariate FIGARCH and fractional cointegration[J]. Journal of Empirical Finance, 2000,7:509~530.
  • 6Chung C F. Calculating and analyzing impulse responses for the vector ARFIMA model[J]. Economics Letters, 2001,71:17~25 .
  • 7Vinod H D. A looser cointegration concept using fractional integration parameters and quantification of market responsiveness[J].Journal of Statistical Planning and Inference, 2002,100:399~410 .
  • 8张世英,刘菁.长记忆性时间序列及其预测[J].预测,1999,18(3):49-50. 被引量:19
  • 9李汉东,张世英.自回归条件异方差的持续性研究[J].预测,2000,19(1):51-54. 被引量:19
  • 10程细玉,张世英.向量分整序列的协整研究[J].系统工程学报,2000,15(3):253-257. 被引量:19

共引文献22

同被引文献44

  • 1薄今纲,于敏芳,刘嘉焜,余晖.基于季节ARIMA模型的GSM话务量建模和预报[J].数理统计与管理,2004,23(6):19-24. 被引量:9
  • 2樊智,张世英.非线性协整建模研究及沪深股市实证分析[J].管理科学学报,2005,8(1):73-77. 被引量:21
  • 3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
  • 4Choudhury T. Short-run deviations and optimal hedge ratio: Evidence from stock futures[J]. Journal of Multinational Financial Management, 2003, 13:171 192.
  • 5Donald L, Li Y. Spot-futures spread, time-varying correlation, and hedging with currency futures[J]. The Journal of Futures Markets, 2006, 26(10): 1019-1038.
  • 6Chen S S, Lee C F, Shrestha K. Empirical analysis of the relationship between the hedge ratio and hedging horizon: A simultaneous estimation of the short- and long-run hedge ratios[J]. Journal of Futures Markets, 2004, 24: 359-386.
  • 7Lien D, Tse Y K. A note on the length effect of futures hedging[J]. Advances in Investment Analysis and Portfolio Management, 2004, 7:131 143.
  • 8Ramsey J B, Zhang Z. The analysis of foreign exchange data using waveform dictionaries[J]. Journal of Empirical Finance, 1997, 4:341- 372.
  • 9Percival D B, Walden A T. Wavelet Methods for Time Series Analysis[M]. Cambridge: Cambridge University Press, 2000.
  • 10Gencay R, Selcuk F, Whitcher B. Scaling properties of foreign exchange volatility[J]. Physica A, 2001, 289: 249-266.

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