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Effect of earthquake sequences on risk-based catastrophe bond pricing.
Mistry, Harsh K; Hernandez, Andres; Guéguen, Philippe; Lombardi, Domenico.
Affiliation
  • Mistry HK; Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK.
  • Hernandez A; ISTerre, Université Grenoble Alpes, Université Savoie Mont-Blanc, CNRS, IRD, Université Gustave Eiffel, Grenoble, France.
  • Guéguen P; ISTerre, Université Grenoble Alpes, Université Savoie Mont-Blanc, CNRS, IRD, Université Gustave Eiffel, Grenoble, France.
  • Lombardi D; Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK.
Risk Anal ; 2024 Mar 10.
Article in En | MEDLINE | ID: mdl-38462733
ABSTRACT
Catastrophe bonds (cat bond in short) are an alternative risk-transfer instrument used to transfer peril-specific financial risk from governments, financial institutions, or (re)insurers, to the capital market. Current approaches for cat bond pricing are calibrated on seismic mainshocks, and thus do not account for potential effects induced by earthquake sequences. This simplifying assumption implies that damage arises from mainshocks only, while aftershocks yield no damage. Postearthquake field surveys reveal that this assumption is inaccurate. For example, in the 2011 Christchurch Earthquake sequence and 2016-2017 Central Italy Earthquake sequence, aftershocks were responsible for higher economic losses when compared to those caused by mainshocks. This article proposes a time-dependent aggregate loss model that takes into account seismicity clustering and damage accumulation effects in the computation of damage. The model is calibrated on the seismic events recorded during the recent 2016-2017 Central Italy Earthquake sequence. Furthermore, the effects of earthquake sequence on cat bond pricing is explored by implementing the proposed model on five Italian municipalities. The investigation showed that neglecting time-dependency may lead to higher difference (up to 45%) in the cat bond price when compared to standard approaches.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Risk Anal Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Risk Anal Year: 2024 Document type: Article Affiliation country: