Pricing of Adverse Development Covers Using Option Pricing Methods

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE
Eric Dal Moro
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引用次数: 0

Abstract

The market for Adverse Development Covers and Loss Portfolio Transfer has been growing in the past few years. Despite this growth, reinsurers are still struggling to define a standard method for pricing such covers. In this context, this article aims at providing an innovative method for pricing such contracts. The proposed method is based on the famous Mack model and fits a Constant Elasticity of Variance (CEV) model to the Mack results (expected value and standard deviation) on each future development year of each accident/underwriting year. Having fitted the CEV model, it is possible to estimate the value of the Adverse Development Covers for each accident/underwriting year using standard European option pricing techniques and to compare this valuation with usual Non-Life Insurance valuation techniques. TOPICS:Derivatives, options, quantitative methods, statistical methods, risk management Key Findings ▪ It is possible to replicate the Mack model estimating the ultimate non–life insurance reserves with a CEV model and to find a good fit for the CEV model. ▪ The proposed CEV model seem to provide better results than models based solely on the ultimate view of the non–life insurance reserves. ▪ It is important to take into account not only the ultimate volatility of the insurance reserves but also the way in which the volatility develops. Such conclusion matches the usual question of the volatility smile for option pricing techniques.
不利发展的定价包括期权定价方法
不良发展保险和损失组合转让市场在过去几年中一直在增长。尽管出现了这种增长,但再保险公司仍在努力制定一种为此类保险定价的标准方法。在此背景下,本文旨在为此类合同的定价提供一种创新方法。该方法以著名的Mack模型为基础,对每个事故/承保年度的每个未来发展年的Mack结果(期望值和标准差)进行恒方差弹性(CEV)模型拟合。拟合CEV模型后,可以使用标准的欧洲期权定价技术估计每个事故/承保年度的不利发展险的价值,并将该估值与通常的非寿险估值技术进行比较。主题:衍生品,期权,定量方法,统计方法,风险管理关键发现▪用CEV模型复制Mack模型估计最终非寿险准备金是可能的,并找到一个很适合CEV模型的模型。▪拟议的CEV模型似乎比仅基于非寿险准备金的最终观点的模型提供更好的结果。▪重要的是,不仅要考虑到保险准备金的最终波动性,还要考虑到波动性发展的方式。这一结论与期权定价技术中波动性微笑的常见问题相吻合。
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来源期刊
Journal of Derivatives
Journal of Derivatives Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
14.30%
发文量
35
期刊介绍: The Journal of Derivatives (JOD) is the leading analytical journal on derivatives, providing detailed analyses of theoretical models and how they are used in practice. JOD gives you results-oriented analysis and provides full treatment of mathematical and statistical information on derivatives products and techniques. JOD includes articles about: •The latest valuation and hedging models for derivative instruments and securities •New tools and models for financial risk management •How to apply academic derivatives theory and research to real-world problems •Illustration and rigorous analysis of key innovations in derivative securities and derivative markets
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