飓风对房地产投资组合的影响:基于葡萄牙损失数据的实证研究

IF 1.9 Q2 BUSINESS, FINANCE Managerial Finance Pub Date : 2023-10-13 DOI:10.1108/mf-03-2023-0163
Andrea Hauser, Carlos Rosa, Rui Esteves, Lourdes Bugalho, Alexandra Moura, Carlos Oliveira
{"title":"飓风对房地产投资组合的影响:基于葡萄牙损失数据的实证研究","authors":"Andrea Hauser, Carlos Rosa, Rui Esteves, Lourdes Bugalho, Alexandra Moura, Carlos Oliveira","doi":"10.1108/mf-03-2023-0163","DOIUrl":null,"url":null,"abstract":"Purpose The simulated scenarios can be used to compute risk premiums per risk class in the portfolio. These can then be used to adjust the policy premiums by accounting for storm risk. Design/methodology/approach A complete model to analyse and characterise future losses of the property portfolio of an insurance company due to hurricanes is proposed. The model is calibrated by using the loss data of the Fidelidade insurance company property portfolio resulting from Hurricane Leslie, which hit the centre of continental Portugal in October, 2018. Findings Several scenarios are simulated and risk maps are constructed. The risk map of the company depends on its portfolio, especially its exposure, and provides a Hurricane risk management tool for the insurance company. Originality/value A statistical model is considered, in which weather data is not required. The authors reconstruct the behaviour of storms through the registered claims and respective losses.","PeriodicalId":18140,"journal":{"name":"Managerial Finance","volume":"45 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of hurricanes on a property portfolio: an empirical study based on loss data in Portugal\",\"authors\":\"Andrea Hauser, Carlos Rosa, Rui Esteves, Lourdes Bugalho, Alexandra Moura, Carlos Oliveira\",\"doi\":\"10.1108/mf-03-2023-0163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose The simulated scenarios can be used to compute risk premiums per risk class in the portfolio. These can then be used to adjust the policy premiums by accounting for storm risk. Design/methodology/approach A complete model to analyse and characterise future losses of the property portfolio of an insurance company due to hurricanes is proposed. The model is calibrated by using the loss data of the Fidelidade insurance company property portfolio resulting from Hurricane Leslie, which hit the centre of continental Portugal in October, 2018. Findings Several scenarios are simulated and risk maps are constructed. The risk map of the company depends on its portfolio, especially its exposure, and provides a Hurricane risk management tool for the insurance company. Originality/value A statistical model is considered, in which weather data is not required. The authors reconstruct the behaviour of storms through the registered claims and respective losses.\",\"PeriodicalId\":18140,\"journal\":{\"name\":\"Managerial Finance\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Managerial Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/mf-03-2023-0163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/mf-03-2023-0163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0

摘要

目的模拟的情景可用于计算投资组合中每个风险类别的风险溢价。然后,这些数据可以用来通过考虑风暴风险来调整保单保费。设计/方法/方法提出了一个完整的模型来分析和描述保险公司因飓风造成的财产投资组合的未来损失。该模型通过使用Fidelidade保险公司财产投资组合的损失数据进行校准,该数据是由2018年10月袭击葡萄牙大陆中心的飓风莱斯利造成的。研究结果模拟了几种场景,构建了风险图。公司的风险图取决于其投资组合,特别是其敞口,并为保险公司提供了飓风风险管理工具。原创性/价值考虑一个统计模型,其中不需要天气数据。作者通过登记的索赔和各自的损失重建了风暴的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The impact of hurricanes on a property portfolio: an empirical study based on loss data in Portugal
Purpose The simulated scenarios can be used to compute risk premiums per risk class in the portfolio. These can then be used to adjust the policy premiums by accounting for storm risk. Design/methodology/approach A complete model to analyse and characterise future losses of the property portfolio of an insurance company due to hurricanes is proposed. The model is calibrated by using the loss data of the Fidelidade insurance company property portfolio resulting from Hurricane Leslie, which hit the centre of continental Portugal in October, 2018. Findings Several scenarios are simulated and risk maps are constructed. The risk map of the company depends on its portfolio, especially its exposure, and provides a Hurricane risk management tool for the insurance company. Originality/value A statistical model is considered, in which weather data is not required. The authors reconstruct the behaviour of storms through the registered claims and respective losses.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Managerial Finance
Managerial Finance BUSINESS, FINANCE-
CiteScore
3.30
自引率
12.50%
发文量
103
期刊介绍: Managerial Finance provides an international forum for the publication of high quality and topical research in the area of finance, such as corporate finance, financial management, financial markets and institutions, international finance, banking, insurance and risk management, real estate and financial education. Theoretical and empirical research is welcome as well as cross-disciplinary work, such as papers investigating the relationship of finance with other sectors.
期刊最新文献
The effects of FinTech adoption on bank loan spreads Twitter-based economic uncertainties and time-frequency connectedness among cryptocurrencies Charity begins at the office: issuing cheap stock and stock options to employees and insiders before going public Corporate spin-offs and stock performance: a comparative study of pure and composite schemes Dividend omissions and dividend cuts behaviour: a dynamic random-effect probit panel regression analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1