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涨跌停板股票收益率的概率密度估计及其应用 被引量:1

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摘要 文章研究了存在涨跌停板限制的股票市场上股票收益率的概率密度函数估计问题,用变换贝塔核密度估计法,避免了传统高斯核密度估计由于支集不匹配而产生的边界偏差问题,并将其应用于计算收益率的风险价值。研究结果表明,在存在涨跌停板限制的股票市场上,股票收益率的概率密度函数不再是现存文献认为的"尖峰、厚尾",而是一种"尖峰、翘尾"形状,且这种差异在进行风险价值计算时是不可忽略的。
出处 《统计与决策》 CSSCI 北大核心 2008年第15期36-39,共4页 Statistics & Decision
基金 国家自然科学基金资助项目(70671025)
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参考文献15

  • 1Olivier R., Olivier S,On the Way to Recovery: A Nonparametric Bias Free Estimation of Recovery Rate Densities [J].Joumal of Banking & Finance ,2004,28.
  • 2Bouezmarni, T., Rolin, J.-M. Consistency of Beta Kernel Density Function Estimator[J]. Canadian Journal of Statistics, forthcoming, 2001.
  • 3Bouezmarni, T., Scaillet, O. Consistency of Asymmetric Kernel Density Estimators and Smoothed Histograms with Application to Income Data[W]. UCL Institut de Statistique DP, 2003.
  • 4Chen, S., Beta Kernel Estimators for Density Functions [J]. Computational Statistics & Data Analysis,1999, 31.
  • 5Chen, S., Probability Density Function Estimation using Gamma Kernels [J]. Annals of the Institute of Statistical Mathematics , 2000,52.
  • 6Scaillet, O. Density Estimation using Inverse and Reciprocal Inverse Gaussian Kernels [J]. Journal of Nonparametric Statistics, forthcoming,2001.
  • 7Christian Schittenkopf and Georg Dorffner:Risk-Neutral Density Extraction from Option Prices: Improved Pricing with Mixture Density Networks [J].Ieee Transactions on Neural Networks,2001, 7.
  • 8Elion C. , Weigend S. Heinz Z.,Computing Portfolio Risk using Gaussian Mixtures and Independent Component Analysis[J].http:// www.stem.nyu.edu/-aweigend,2003.
  • 9Rosario N. Mantegna ,H. Eugene Stanley ,Modeling of Financial data:Comparison of the Truncated Levy Flight and the ARCH(I) and GARCH(1,1) Processes[J],Physica A,1998, 254.
  • 10Hari M. Gupta, Jose R. Campanha, The Gradually Truncated Levy Flight for Systems with Power-Law Distributions[J]. Physica A,1999, 268.

同被引文献5

  • 1许冰.区域板块股票波动风险的概率相关与volatility差异[J].统计与决策,2005,21(11S):18-20. 被引量:1
  • 2Taoufik,B., Jeroen,V.,Nonparametric density estimation for positive time series, Computational Statistics and Data Analysis ,2010.
  • 3Sch uster, E., Incorporating support constraints into nonparametric estimators of densities. Communications in Statistics - Theory and Methods 14, 1985.
  • 4Chen, S.,Probability density functions estimation using gamma kernels. Annals of the Institute of Statistical Mathematics 52, 471-480, 2000.
  • 5Fernandez, M., Monteiro, P., Central limit theorem for asymmetric kernel functionals. Annals of the Institute of Statistical Mathematics 57, 425-442, 2005.

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