摘要翻译:
我们引入了一族在任意给定维数的单位立方体内部局部分段一致的Copula。在该族中,同时控制所有投影对立方体面的尾部依赖是可能的,我们给出了一个有效的采样算法。这两个属性的结合可能会吸引风险建模者。
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英文标题:
《Shaping tail dependencies by nesting box copulas》
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作者:
Christoph Hummel
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最新提交年份:
2009
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:Computational Finance 计算金融学
分类描述:Computational methods, including Monte Carlo, PDE, lattice and other numerical methods with applications to financial modeling
计算方法,包括蒙特卡罗,偏微分方程,格子和其他数值方法,并应用于金融建模
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一级分类:Quantitative Finance 数量金融学
二级分类:Risk Management 风险管理
分类描述:Measurement and management of financial risks in trading, banking, insurance, corporate and other applications
衡量和管理贸易、银行、保险、企业和其他应用中的金融风险
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英文摘要:
We introduce a family of copulas which are locally piecewise uniform in the interior of the unit cube of any given dimension. Within that family, the simultaneous control of tail dependencies of all projections to faces of the cube is possible and we give an efficient sampling algorithm. The combination of these two properties may be appealing to risk modellers.
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PDF链接:
https://arxiv.org/pdf/0906.4853