摘要翻译：
本文提出了一种在不知道一般激波的情况下估计离散观测二元复合Poisson过程Levy copula参数的方法。在小样本仿真研究中对该方法进行了验证。并将该方法应用于实际数据集，进行了拟合优度检验。在此基础上，Levy copula模型成为先进的操作风险度量方法的现实工具。
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英文标题：
《Parameter estimation of a Levy copula of a discretely observed bivariate
  compound Poisson process with an application to operational risk modelling》
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作者：
J. L. van Velsen
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最新提交年份：
2012
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分类信息：

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：
  A method is developed to estimate the parameters of a Levy copula of a discretely observed bivariate compound Poisson process without knowledge of common shocks. The method is tested in a small sample simulation study. Also, the method is applied to a real data set and a goodness of fit test is developed. With the methodology of this work, the Levy copula becomes a realistic tool of the advanced measurement approach of operational risk.
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PDF链接：
https://arxiv.org/pdf/1212.0092