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应用改进Hill估计计算在险价值 被引量:21

Using the Improved Hill Estimator Model to Evaluate VaR
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摘要 通过广义最小二乘法对Hill估计进行改进 ,估计尾部指数 ,克服了传统的Hill估计对样本阈值依赖的缺陷 ,并将此法应用到了在险价值的计算上 .由于传统的计算方法带来一些系统误差 ,对其进行了一些修正 ,并对中国的上证指数、恒生指数、道琼斯指数、纳斯达克指数 ,以及日经指数做了在险价值的计算 。 One improved Hill estimator using GLS(general least squares) is introduced, which overcomes some defects of Hill estimator, and is used to evaluate VaR. The VaR of index of Shanghai Composite, Hang seng, Dow Jones, Nasdaq, Nikkei are estimated and compared, and a simple analysis of the result is given.
出处 《中国科学院研究生院学报》 CAS CSCD 2004年第3期305-309,共5页 Journal of the Graduate School of the Chinese Academy of Sciences
基金 国家自然科学基金 ( 10 0 710 82 ) 教育部博士点基金 中国科学院和中国科学技术大学创新基金资助
关键词 在险价值 Hill估计 广义最小二乘法 尾部指数 次序统计量 Value at Risk, Hill estimator, GLS(general least squares), tail index, order statistics
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参考文献7

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共引文献32

同被引文献172

引证文献21

二级引证文献70

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