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Maximum likelihood estimates are obtained for long data sets of bivariate financial returns using mixing representation of the bivariate (skew) Variance Gamma (VG) and two (skew) t distributions. By analysing simulated and real data, issues such as asymptotic lower tail dependence and competitiveness of the three models are illustrated. A brief review of the properties of the models is included. The present paper is a companion to papers in this journal by Demarta & McNeil and Finlay & Seneta. 相似文献
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未决赔款准备金的谨慎提取对保险公司的稳健经营具有非常重要的意义。本文从分层贝叶斯分析和BMOM方法入手研究最大熵先验分布问题,给出了保险公司未决赔款准备金的稳健贝叶斯估计,然后通过一具体实例说明本文方法的有效性,最后将未决赔款准备金的稳健贝叶斯估计同经典估计进行了比较。 相似文献
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