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Valuation of guaranteed unitized participating life insurance under GEV distribution

机译:GEV分配下有保证的联合参保人寿保险的估值

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The price of option is affected by high volatilities of asset returns. Normal distribution and geometric Brownian motion cannot characterize leptokurtosis and heavy tails of asset returns, which leads to a biased option pricing. Due to guaranteed unitized participating life insurance contracts typically contain various types of implied options, the contract premium will be significantly biased by distribution assumptions. Considering the economic crisis which may change the distribution, this paper extends valuation method of guaranteed unitized participating life insurance under the generalized extreme value (GEV) distribution. Based on the assumption that the returns follow the GEV distribution, we establish a multi-factor fair valuation pricing model of guaranteed unitized participating life insurance contract. It can explicitly capture the negative skewness and the excess kurtosis of asset returns. We study effects of different factors on embedded option values and calculate different annual premiums. The Least-Squares Monte Carlo simulation method is used to simulate the pricing model. Finally, we compare the parameter sensitivity under the GEV and Normal asset returns.
机译:期权价格受资产收益率高波动性的影响。正态分布和几何布朗运动不能描述瘦峰态和资产收益率高的尾巴,这导致期权定价有偏差。由于有保证的统一参与人寿保险合同通常包含各种类型的隐含期权,因此合同保费将因分配假设而有明显偏差。考虑到可能改变分配的经济危机,本文扩展了广义极值(GEV)分配下的有担保的参保人寿保险的估值方法。基于收益遵循GEV分布的假设,我们建立了担保的参与式人寿保险合同的多因素公平估值定价模型。它可以明确捕获资产收益的负偏度和超峰度。我们研究了不同因素对嵌入式期权价值的影响,并计算了不同的年度保费。最小二乘蒙特卡洛模拟方法用于模拟定价模型。最后,我们比较了GEV和普通资产收益率下的参数敏感性。

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