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SCD模型与ACD模型比较研究 被引量:9

Comparative Study of SCD and ACD Sodels
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摘要 针对近几年在研究金融市场超高频序列时出现的ACD模型和SCD模型,先从理论上探讨了ACD模型、SCD模型与ARMA模型之间的关系,指出两类模型均可转化为ARMA模型,具有一定的相通性;然后实证比较了两类模型的自相关函数对实际数据自相关系数的刻画能力,以及利用基于随机模拟的似然比检验方法,从实证角度比较两类模型对持续期序列的拟合优度,得出在拟合金融市场超高频持续期数据时,SCD模型比ACD模型更具有优势。 Relationship among ACD and SCD models, which appeared in financial market's ultra high frequency data in recent years, and ACD model were explored theoritically. The results indicate that these two kinds of the models can be transformed to ARMA models, there being some common characters between them. For the two kinds of the models, their depicting abilities for autocorrelation functions were compared empirically and their good of fit were compared by the likelihood ratio test based on stochastic simulation. It is concluded that SCD model has more advantage than ACD models.
出处 《管理学报》 CSSCI 2008年第1期44-48,117,共6页 Chinese Journal of Management
基金 国家自然科学基金资助项目(70471050)
关键词 ACD模型 SCD模型 离散指数 自相关函数 拟合优度 ACD models SCD models over-dispersion autocorrelation function good of fit
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参考文献12

  • 1[1]O'HARA M.Market Microstructure Theory[M].Oxford:Basil Blackwell Publisher,1995.
  • 2[3]ENGLE R F,RUSSELL J R.Autoregressive Conditional Durations:A New Approach for Irregularly Spaced Transaction Data[J].Econometrica,1998,66(1):1 127~1 163.
  • 3[4]BAUWENS L,VEREDAS D.The Stochastic Conditional Duration Model:A Latent Variable Model for the Analysis of Financial Durations[J].Journal of Econometrics,2004,119 (3):381 ~ 412.
  • 4[5]FENG D G,JIANG G J,SONG P.Stochastic Conditional Duration Models with "Leverage Effect" for Financial Transaction[J].Journal of Financial Econometrics,2004,2 (3):390~ 421.
  • 5[6]STRICKLAND C M,FROBES C S,MARTIN G M.Bayesian Analysis of the Stochastic Conditional Duration Model[J].Computational Statistics & Data Analysis,2006,50 (4):2 247~ 2 267.
  • 6[7]ANSLEY C F,SPIVEY W A,WROBLESKI W J.On the Structure of Moving Average Precesses[J].Journal of Econometrics,1977,6 (2):121 ~ 134.
  • 7[8]BAUWENS L,GIOT P.Econometric Modeling of Stock Market Intraday Activity[M].Dordrecht:Kluwer Academic Publishers,2001:46~ 51.
  • 8[9]ENGLE R.Financial Econometrics A New Discipline with New Methods[J].Journal of Econometrics,2001,100(1):53~ 56.
  • 9[10]BAUWENS L,GALLI F,GIOT P.The Moments of Log-ACD Models[R].Université Catholique de Louvain,2003.
  • 10余素红,张世英.SV和GARCH模型拟合优度比较的似然比检验[J].系统工程学报,2004,19(6):625-629. 被引量:19

二级参考文献4

  • 1Gourieroux C, Monfort A. Likelihood ratio statistic[J]. Journal of Econometrics, 1994, 23: 56-78.
  • 2Durbin J, Koopman S J. Monte Carlo maximum likelihood estimation for non-Gaussian state space models[J]. Biometrica, 1997,84: 669-684.
  • 3Ruiz E. Quasi-maximum likelihood estimation of stochastic volatility models[ J]. Journal of Econometrics, 1994, 63: 289-306.
  • 4Engle R F, Bollerslev T. Modeling the persistence of conditional variance [J]. Econometric Review, 1986, 5: 1-50.

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