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Stackelberg reinsurance chain under model ambiguity 模型模糊下的Stackelberg再保险链
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-09-07 DOI: 10.1080/03461238.2023.2255399
Jingyi Cao, Dongchen Li, Virginia R. Young, Bin Zou
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引用次数: 1
Isotonic recalibration under a low signal-to-noise ratio 低信噪比下的等压再校准
3区 经济学 Q2 Mathematics Pub Date : 2023-08-17 DOI: 10.1080/03461238.2023.2246743
Mario V. Wüthrich, Johanna Ziegel
Insurance pricing systems should fulfill the auto-calibration property to ensure that there is no systematic cross-financing between different price cohorts. Often, regression models are not auto-calibrated. We propose to apply isotonic recalibration to a given regression model to restore auto-calibration. Our main result proves that under a low signal-to-noise ratio, this isotonic recalibration step leads to an explainable pricing system because the resulting isotonically recalibrated regression function has a low complexity.
保险定价系统应实现自动校准特性,以确保不同价格组之间不存在系统性的交叉融资。通常,回归模型不是自动校准的。我们建议将等压再校准应用于给定的回归模型以恢复自动校准。我们的主要结果证明,在低信噪比下,这种等压再校准步骤导致一个可解释的定价系统,因为所得的等压再校准回归函数具有较低的复杂性。
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引用次数: 0
Stackelberg differential game for insurance under model ambiguity: general divergence 模型模糊下保险的Stackelberg微分对策:一般散度
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-08-09 DOI: 10.1080/03461238.2022.2145233
Jingyi Cao, Dongchen Li, V. Young, B. Zou
We solve a Stackelberg differential game between a buyer and a seller of insurance policies, in which both parties are ambiguous about the insurable loss. Both the buyer and seller maximize their expected wealth, plus a penalty term that reflects ambiguity, over an exogenous random horizon. Under a mean-variance premium principle and a general divergence that measures the players' ambiguity, we obtain the Stackelberg equilibrium semi-explicitly. Our main results are that the optimal variance loading equals zero and that the seller's robust optimal premium rule equals the net premium under the buyer's optimally distorted probability. Both of these important results generalize those we obtained in [Cao, J., Li, D., Young, V. R. & Zou, B. (2022). Stackelberg differential game for insurance under model ambiguity. Insurance: Mathematics and Economics, 106, 128–145.] under squared-error divergence.
本文解决了保险买卖双方对保险损失不明确的Stackelberg微分博弈问题。在外生随机视界上,买卖双方都最大化了他们的预期财富,加上一个反映模糊性的惩罚条款。在平均方差溢价原则和衡量参与者模糊性的一般散度下,我们得到了半显式的Stackelberg均衡。我们的主要结果是最优方差负荷等于零,卖方的鲁棒最优溢价规则等于买方最优扭曲概率下的净溢价。这两个重要的结果推广了我们在[Cao, J., Li, D., Young, V. R. & Zou, B.(2022)]中得到的结果。模型模糊下保险的Stackelberg微分对策。保险:数学与经济,106,128-145。在平方误差散度下。
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引用次数: 6
Valuation of variable annuities with guaranteed minimum maturity benefits and periodic fees 具有保证最低到期收益和定期费用的可变年金的估值
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-07-31 DOI: 10.1080/03461238.2023.2241193
Meiqiao Ai, Yunyun Wang, Zhimin Zhang, Dan Zhu
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引用次数: 0
Pareto-optimal insurance with an upper limit on the insurer's exposure 具有保险公司风险上限的帕累托最优保险
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-07-26 DOI: 10.1080/03461238.2023.2239533
Oma Coke, Mario Ghossoub, Mi Zhu
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引用次数: 0
Soft splicing model: bridging the gap between composite model and finite mixture model 软拼接模型:弥补了复合模型与有限混合模型之间的差距
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-07-13 DOI: 10.1080/03461238.2023.2234914
Tsz Chai Fung, Himchan Jeong, George Tzougas

Considerations of both the heavy-tail phenomenon and multi-modality of a claim severity distribution have been challenging in the actuarial literature and practices. In this article, we develop a novel class of soft splicing models that bridges the gap between pre-existing methods for handling the issues above. The proposed method is flexible enough to incorporate tail-heaviness and multi-modality with computational efficiency and nests finite mixture models and splicing models as its special and/or limiting cases. The soft splicing model is also more robust in extrapolating the tail-heaviness of distribution subject to model contamination. According to simulation studies and real insurance claim data analyses, it is shown that the proposed soft splicing model provides superior goodness-of-fit and more accurate estimates of tail risk measures than both finite mixture and composite models.

考虑重尾现象和索赔严重性分布的多模态在精算文献和实践中一直具有挑战性。在本文中,我们开发了一类新的软拼接模型,它弥补了处理上述问题的现有方法之间的差距。该方法具有足够的灵活性,可以将尾重和多模态结合起来,计算效率高,并将有限混合模型和拼接模型作为其特殊和/或极限情况。软剪接模型在推断受模型污染影响的分布尾重时也具有更强的鲁棒性。仿真研究和实际保险索赔数据分析表明,所提出的软拼接模型比有限混合模型和复合模型具有更好的拟合优度和更准确的尾部风险度量估计。
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引用次数: 0
Bayesian joint modelling of life expectancy and healthy life expectancy and valuation of retirement village contract 预期寿命与健康预期寿命的贝叶斯联合建模与退休村合同的估价
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-07-12 DOI: 10.1080/03461238.2023.2232816
Jackie Li
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引用次数: 0
Optimal reinsurance contract in a Stackelberg game framework: a view of social planner Stackelberg博弈框架下的最优再保险契约:社会计划者的视角
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-06-07 DOI: 10.1080/03461238.2023.2220219
Xia Han, D. Landriault, Danping Li
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引用次数: 1
Time-series forecasting of mortality rates using transformer 基于变压器的死亡率时序预测
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-05-30 DOI: 10.1080/03461238.2023.2218859
Jun Wang, Lihong Wen, Lu Xiao, Chaojie Wang
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引用次数: 0
An insurer's optimal strategy towards a new independent business 保险公司对新独立业务的最优策略
IF 1.8 3区 经济学 Q2 Mathematics Pub Date : 2023-05-12 DOI: 10.1080/03461238.2023.2209858
Yichun Chi, Yuxia Huang, K. S. Tan
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引用次数: 0
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Scandinavian Actuarial Journal
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