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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Carmen Boado-Penas holds a Ph.D. in Actuarial Science from the University of Valencia (Spain). She has also published several articles on public pension systems and has cooperated on various projects related to pension systems at the Swedish Social Insurance Agency in Stockholm and at the Spanish Ministry of Labor and Immigration. In 2020, she received the BBVA Longevia award to support pension research. Her research interests are focused on pensions and automatic balancing mechanisms.
Dr. Julia Eisenberg is currently holding an Elise Richter fellowship, granted by FWF (Austrian Science Fund), at the Institute of Statistics and Mathematical Methods in Economics, TU Wien, Austria. She received her doctorate at the University of Cologne, Germany, in 2010 and completed her habilitation (the highest qualification issued through the process of a university examination) at the TU Wien in 2019.Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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