Pandemics insurance and social protection / [electronic resource] :
- 其他作者：
- 其他題名：
- Springer actuarial.
- 出版： Cham : Springer International Publishing :Imprint: Springer
- 叢書名： Springer actuarial,
- 主題： Insurance--Mathematical models. , Insurance--Statistical methods. , Social security. , Epidemics. , Applications of Mathematics. , Probability Theory and Stochastic Processes. , Statistical Theory and Methods. , Education, general. , Law and Economics.
- ISBN： 9783030783341 (electronic bk.) 、 9783030783334 (paper)
-
FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: M.C. Boado-Penas, J. Eisenberg, S. Sahin: Covid-19: a trigger for innovations in insurance? -- Jose Garrido: Compartment models -- David Wilkie: On a dynamic epidemiological actuarial model -- Andrew Cairns: Changes in mortality during a pandemic -- Gary Venter: Mortality models with contagion -- Diagnostic tests and procedures during a pandemic -- Matthew Aldridge: Group tests -- Gustavo Demarco and Fiona Stewart: On World Bank's pandemic emergency financial facilities -- Hirbod Assa & Tim Boonen: Mathematical modelling of catastrophe bonds -- Nuria Badenes Pla: Behaviouristic aspects, obedience to the introduced measures in different countries -- Alexia Furnkranz-Prskawetz:The optimal length and severity of a lockdown -- Peter Filzmoser: The optimal length and severity of a lockdown -- Rachel Hillier:Pandemic related legal problems -- Frank Schiller:An actuary's opinion.
- 摘要註: This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic. Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers' legal problems, amongst others. Concluding with an essay by a practicing actuary on the applicability of the methods proposed, this interdisciplinary book is aimed at actuaries as well as readers with a background in mathematics, economics, statistics, finance, epidemiology, or sociology.
-
讀者標籤：
- 系統號： 005510601 | 機讀編目格式
館藏資訊
This open access book collects expert contributions on actuarial modelling and related topics, from machine learning to legal aspects, and reflects on possible insurance designs during an epidemic/pandemic. Starting by considering the impulse given by COVID-19 to the insurance industry and to actuarial research, the text covers compartment models, mortality changes during a pandemic, risk-sharing in the presence of low probability events, group testing, compositional data analysis for detecting data inconsistencies, behaviouristic aspects in fighting a pandemic, and insurers' legal problems, amongst others. Concluding with an essay by a practicing actuary on the applicability of the methods proposed, this interdisciplinary book is aimed at actuaries as well as readers with a background in mathematics, economics, statistics, finance, epidemiology, or sociology.