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指数自回归条件异方差模型的检验 被引量:4

Testing on EGARCH Models
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摘要 本文在达尼艾尔松(1994)定义的随机波动模型(SV)的基础上,借用迪拉克.德鲁塔函数的思想,提出检验指数自回归条件异方差(EGARCH)模型的拉格朗日乘数检验统计量。该检验统计量的提出预示着一定条件下EGARCH模型为SV模型的一种特例。最后通过蒙特卡罗计算机仿真实验验证该检验统计量的检验能力。 A Lagrange Multiplier Test Statistic is derived to test on EGARCH models based on SV models defined by Nanielssion (1994), by means of Dirac's Delta function. A small Monte Carlo experiment is reported in order to check the actual size and power of the LM test statistic proposed in this paper.
作者 史秀红
出处 《数量经济技术经济研究》 CSSCI 北大核心 2008年第6期146-153,共8页 Journal of Quantitative & Technological Economics
关键词 EGARCH模型 随机波动模型 拉格朗日乘数检验量 EGARCH Model Stochastic Volatility Model Lagrange Multiplier Test Statistic
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  • 1Andersen, T.G. , Hyung-Jin Chung, Bent E. Sφrensen: Efficient method of moments estimation of a stochastic volatility model: A Monte Carlo study [J], Journal of Econometrics 1999.91, 61-87.
  • 2Chernoff, H. : On the distribution of the likelihood ratio [J], Annals of Mathematical Statistics, 1954.25, 573-578.
  • 3Bollerslev, T., R.F. Engle and D.B. Nelson: Handbook of Econometrics [M], No. 49, North- Holland , 1994.
  • 4Danielsson, J. : Stochastic Volatility in Asset Prices: Estimation with Simulated Maximum Likeli- hood [J], Journal of Econometrics, 1994.61, 375-400.
  • 5Engle, R.F. : Autoregressive Conditional Heteroskedasticity with Estimates of the Variance of U.K. Inflation [J], Econometrica, 1982,50, 987-1008.
  • 6Kim, S., N. Shepherd, and S. Chib: Stochastic Volatility: Likelihood Inference and Comparison with ARCH models [J], Review of Economic Studies, 1998.65, 361-393.
  • 7Nelson D.B.Conditional Heteroskedasticity in Asset Pricing: A New Approach .Econometrica,1991,:347-370.
  • 8Rogers, A.J. : Modified Lagrange Multiplier tests for Problems with one-sided alternatives [J], Journal of Econometrics, 1986.
  • 9Watanabe, T. : A Non-linear Filtering Approach to Stochastic Volatility Models with an Application to Daily Stock Returns [J], Journal of Applied Econometrics, 1999.14, 101-121.

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