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Valuation of Guaranteed Unitized Participating Life Insurance under MEGB2 Distribution

机译:估值较稳定的梅尔巴2分布下的统一参与人寿保险

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摘要

Crisis events have significantly changed the view that extreme events in financial markets have negligible probability. Especially in the life insurance market, the price of guaranteed participating life insurance contract will be affected by a change in asset volatility which leads to the fluctuations in embedded option value.Considering the correlation of different asset prices,MEGB2(multivariate exponential generalized beta of the second kind) distribution is proposed to price guaranteed participating life insurance contract which can effectively describe the dependence structure of assets under some extreme risks. Assuming the returns of two different assets follow theMEGB2 distribution, amultifactor fair valuation pricingmodel of insurance contract is split into four components: the basic contract, the annual dividend option, the terminal dividend option, and the surrender option. This paper studies the effect of death rate, minimum guaranteed yield rate, annual dividend ratio, terminal dividend ratio, and surrender on the embedded option values and calculates the single premium of the insurance contract under different influence factors. The Least-Squares Monte Carlo simulation method is used to simulate the pricing model. This article makes a comparison in the sensitivity of the pricing parameters under theMEGB2 distribution andMultivariate Normal distribution asset returns. Finally, an optimal hedging strategy is designed to cover the possible risks of the underlying assets, which can effectively hedge the risks of portfolio.
机译:危机事件大大改变了金融市场极端事件具有可忽略概率的视野。特别是在人寿保险市场中,保证参与人寿保险合同的价格将受资产波动的变化影响,这导致嵌入期权值的波动。考虑不同资产价格的相关性,MEGB2(多变量指数广义测试版)第二种)分销被提出为可保证参与的人寿保险合同,可以有效地描述资产在一些极端风险下的依赖结构。假设两种不同资产的回报遵循ThemegB2分配,保险合同的金属接受者公平估值定价算法分为四个组成部分:基本合同,年度股息期权,终端股息选择和投降选项。本文研究了死亡率,最低保证屈服率,年股息率,终端股息率和投降对嵌入式期权价值的影响,并根据不同影响因素计算保险合同的单一溢价。最小二乘蒙特卡罗仿真方法用于模拟定价模型。本文在ThemegB2分布下的定价参数的敏感性进行了比较,并且可以在Multivariate Normal分布资产返回下进行定价参数。最后,最佳的对冲策略旨在涵盖潜在资产可能的风险,这可以有效地对冲投资组合的风险。

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