Capital requirement modeling for market and non-life premium risk in a dynamic insurance portfolio

IF 1.5 Q3 BUSINESS, FINANCE
Stefano Cotticelli, Nino Savelli
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引用次数: 0

Abstract

Abstract For some time now, Solvency II requires that insurance companies calculate minimum capital requirements to face the risk of insolvency, either in accordance with the Standard Formula or using a full or partial Internal Model. An Internal Model must be based on a market-consistent valuation of assets and liabilities at a 1-year time span, where a real-world probabilistic structure is used for the first year of projection. In this paper, we describe the major risks of a non-life insurance company, i.e. the non-life underwriting risk and market risk, and their interactions, focusing on the non-life premium risk, equity risk, and interest rate risk. This analysis is made using some well-known stochastic models in the financial-actuarial literature and practical insurance business, i.e. the Collective Risk Model for non-life premium risk, the Geometric Brownian Motion for equity risk, and a real-world version of the G2++ Model for interest rate risk, where parameters are calibrated on current and real market data. Finally, we illustrate a case study on a single-line and a multi-line insurance company in order to see how the risk drivers behave in both a stand-alone and an aggregate framework.
动态保险组合中市场和非寿险保费风险的资本需求模型
一段时间以来,偿付能力II要求保险公司计算面对破产风险的最低资本要求,要么根据标准公式,要么使用全部或部分内部模型。内部模型必须基于1年时间跨度内的市场一致的资产和负债估值,其中第一年的预测使用真实世界的概率结构。本文描述了非寿险公司的主要风险,即非寿险承保风险和市场风险,以及它们之间的相互作用,重点介绍了非寿险保费风险、股权风险和利率风险。本分析使用了金融精算文献和实际保险业务中一些著名的随机模型,即用于非寿险保费风险的集体风险模型,用于股票风险的几何布朗运动模型,以及用于利率风险的G2++模型的现实版本,其中参数是根据当前和实际市场数据校准的。最后,我们将举例说明单线和多线保险公司的案例研究,以便了解风险驱动因素在独立和聚合框架中的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.10
自引率
5.90%
发文量
22
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