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慕尼黑再保险 各种条件下财产和意外伤害保险定价的需求和弹性建模.pdf

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1、Image:William Patin/allroundMEDIADemand&elasticity modelling for P&C insurance pricing under various conditionsThibault Imbert28 August 2024AgendaAugust 2024Singapore Actuarial Conference 2024201Introduction02Business applications03Data gathering04Critical elements in demand model developmentImage:W

2、illiam Patin/allroundMEDIAIntroduction1Singapore Actuarial Conference 2024Customers shop around for affordable insurance quotesSends a quote requestPotential customerInsurerProvides a quote with a price tagQuote accepted?0/1Employ advanced algorithms and methodologies to develop the most precise log

3、istic regression model for the responseAugust 20244Quote requestDigital channels facilitate effortless comparison of multiple quotesPotential customerInsurerQuoteQuote accepted?0/1Price Comparison Website#1#2#3Things to consider1321What/how to model?2Influence of the price?3What is the market doing?

4、August 2024Singapore Actuarial Conference 20245Other insurersQuotes6August 2024Singapore Actuarial Conference 2024QuoteDeclinedUnderwritten PolicyMid-term cancellationStill in ForceRetentionChurnProduct 1Product 3Product 2TIMEConversionRate ModelMidterm CancellationRate ModelRetentionRate ModelCross

5、-SellRate ModelBefore contract signinge.g.1st of FebruaryStart of the terme.g.1st of AprilMidterme.g.1st of OctoberEnd of the terme.g.31st of MarchDemand models enable insurers to analyse customer purchasing behaviour across different price levelsDemand models in focus for this talkImage:William Pat

6、in/allroundMEDIABusiness applications28August 2024Singapore Actuarial Conference 2024Practical applications of demand models provide valuable solutions for diverse business challengesConversion ModelNew BusinessQuote DataCustomerInsightsUnderstanding customer demand to a product at a particular pric

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本文主要探讨了保险定价中需求与弹性模型的构建与应用。作者指出,客户会为寻求性价比高的保险报价而四处比较,保险公司提供的报价中,价格是关键因素。文中提到,使用先进的算法和模型可以精确构建保险需求模型,进而帮助保险公司理解在不同价格点,不同客户群体的购买行为。模型的实际应用包括:通过客户价格弹性优化定价方案,估计价格变动对客户结构和关键绩效指标的影响,以及进行情景测试等。数据收集方面,作者强调需要整合新车业务和续保报价,其中应包括客户车辆信息、历史索赔记录、地区经济数据等。此外,还应考虑价格变动对需求的影响,以及如何使价格弹性估计更加精确。作者提出,通过随机价格测试可以观察价格变动对需求的影响,而当随机价格测试不可行时,可采用短期价格变动来捕捉价格与需求的关系。最后,作者提醒,在开发需求模型时,要考虑潜在的误价成本,并在模型中测试基础特征与价格变动特征之间的交互作用。
"保险定价中的需求与弹性模型" "如何通过数据驱动优化保险报价?" "弹性定价在保险行业的实际应用"
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