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价值风险的非参数估计方法 被引量:1

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摘要 价值风险(VaR)模型是当今最流行的金融资产风险管理和控制的工具之一.本文提出了用局部分位数回归的方法来估计某一投资组合的VaR值.该方法可用于计算投资组合多持续期的VaR, 使得人们可以了解到该投资组合在一定持续期内的动态风险.本文通过模拟和美国三个月到期国债利率数据的分析说明了该方法的具体执行情况,并与J.P.Morgan的时间开方规则作了比较.结果表明我们的VaR估计有令人满意的效果.
出处 《应用概率统计》 CSCD 北大核心 2006年第2期208-213,共6页 Chinese Journal of Applied Probability and Statistics
基金 国家自然科学基金资助项目(批准号:10001004和39930160)
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参考文献9

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  • 2Alexander, C. Volatility and correlation forecasting, in Handbook of Financial Risk Management,Wiley, New York, 1996, 233-260.
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