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Risk measures in a quantile regression credibility framework with Fama/French data applications

机译:使用Fama / French数据应用的分位数回归可信度框架中的风险衡量

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In this paper we extend the idea of embedding the classical credibility model into risk measures, as was presented by Pitselis (2016), to the idea of embedding regression credibility into risk measures. The resulting credible regression risk measures capture the risk of individual insurer's contract (in finance, the individual asset return portfolio) as well as the portfolio risk consisting of several similar but not identical contracts (in finance, several similar portfolios of asset returns), which are grouped together to share the risk. In insurance, credibility plays a special role of spreading the risk. In financial terminology, credibility plays a special role of diversification of risk. For each model, regression credibility models are established and the robustness of these models is investigated. Applications to Fama/French financial portfolio data are also presented. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,我们将Pitselis(2016)提出的将经典可信度模型嵌入风险度量的思想扩展到了将回归可信度嵌入风险度量的思想。由此产生的可靠的回归风险度量可以反映单个保险人合同的风险(在财务中,个人资产收益投资组合)以及由多个相似但不相同的合同(在财务中,资产收益的几个相似投资组合)组成的投资组合风险。一起分担风险。在保险中,信誉起着分散风险的特殊作用。在财务术语中,信誉在分散风险方面起着特殊的作用。对于每个模型,建立回归可信度模型并研究这些模型的鲁棒性。还介绍了对Fama / French金融投资组合数据的应用。 (C)2017 Elsevier B.V.保留所有权利。

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