Securitization of pandemic risk by using coronabond.

Coronabond Extreme value theory Pandemic risk Securitization

Journal

Financial markets and portfolio management
ISSN: 2373-8529
Titre abrégé: Financ Mark Portf Mang
Pays: United States
ID NLM: 9918284164106676

Informations de publication

Date de publication:
17 Apr 2023
Historique:
accepted: 24 01 2023
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

This article investigates the pandemic risk coverage within the European Union member states through insurance securitization. This strategy allows the transfer of health risks from the insurance market to the financial markets. We focus on the financial market crisis caused by the COVID-19 pandemic to securitize the losses caused by the latter. Over the period from 24/01/2020 (the first proven case of contamination in Europe) to 31/03/2020 (end of the dramatic decrease in financial markets), we apply the extreme value theory allowing the selection of the trigger threshold. We identify an immediate reaction of the financial markets following a pandemic shock, the effect of which fades after a few days. The response of stock market indices, measured by the fluctuation of return rates, is not very high. Nevertheless, the reaction of the financial markets is sufficient for the corona bond triggering, provided that the threshold for triggering the incidence rate is optimal. In addition, the securitization of insurance risk could be an alternative process to the classic risk transfer techniques such as co-insurance and reinsurance. Finally, a reinsurance pool dedicated to the insurance scheme's management against the effects of a pandemic is crucial for insurance securitization. These results could have implications for various actors such as insurers, financial investors, and States.

Identifiants

pubmed: 37362252
doi: 10.1007/s11408-023-00425-2
pii: 425
pmc: PMC10109232
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-21

Informations de copyright

© The Author(s) under exclusive licence to Swiss Society for Financial Market Research 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Auteurs

Adlane Haffar (A)

Faculty of Mathematics (USTHB), MSTD Laboratory, University of Science and Technology Houari Boumédiène, Postbox 32, Bab Ezzouar, 16111 Algiers, Algeria.

Éric Le Fur (É)

INSEEC Grande Ecole, H19 Quai de Bacalan, 33000 Bordeaux, France.

Mohamed Khordj (M)

National Higher School of Statistics and Applied Economics, University Pole of Koléa, 42003 Tipaza, Algeria.

Classifications MeSH