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信用组合损失分布计算方法的比较分析

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摘要 信用风险管理中,组合损失分布尾部的估计精度对确定组合风险量度有着重要的影响。文章对现有的两种可以提高组合损失分布尾部估计精度的方法——鞍点近似和重要性抽样进行了数值比较。结果表明:在相同的计算时间内,鞍点近似计算的信用组合损失分布尾部概率偏低,波动性较小,而且这种低估会随着损失水平的增加而逐渐减弱;而重要性抽样计算的信用组合损失分布的尾部概率则比较准确,但波动性较大。
出处 《生产力研究》 CSSCI 北大核心 2010年第1期140-141,154,共3页 Productivity Research
基金 国家自然科学基金资助项目(70573076) 高校博士学科点专项科研基金资助项目(20050056057)
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参考文献5

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