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Pandemicsinsurance and social protection /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pandemicsedited by Maria del Carmen Boado-Penas, Julia Eisenberg, Sule Sahin‬‬‬.
Reminder of title:	insurance and social protection /
other author:	Boado-Penas, Maria del Carmen.
Published:	Cham :Springer International Publishing :2022.
Description:	xx, 298 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	InsuranceMathematical models.
Online resource:	https://doi.org/10.1007/978-3-030-78334-1
ISBN:	9783030783341$q(electronic bk.)

Pandemicsinsurance and social protection /
Pandemicsinsurance and social protection /[electronic resource] :edited by Maria del Carmen Boado-Penas, Julia Eisenberg, Sule Sahin‬‬‬. - Cham :Springer International Publishing :2022. - xx, 298 p. :ill. (some col.), digital ;24 cm. - Springer actuarial,2523-3270. - Springer actuarial..

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.

Open access.

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.

ISBN: 9783030783341$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78334-1doiSubjects--Topical Terms:

183042
Insurance
--Mathematical models.

LC Class. No.: HG8781 / .P35 2022

Dewey Class. No.: 368.0015118

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506 $a Open access.
520 $a 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.
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