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Pricing risk-based catastrophe bonds for earthquakes at an urban scale.
Mistry, Harsh K; Lombardi, Domenico.
Afiliación
  • Mistry HK; Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK. harsh.mistry@manchester.ac.uk.
  • Lombardi D; Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, UK.
Sci Rep ; 12(1): 9729, 2022 06 13.
Article en En | MEDLINE | ID: mdl-35697744
Catastrophe risk-based bonds are used by governments, financial institutions and (re)insurers to transfer the financial risk associated to the occurrence of catastrophic events, such as earthquakes, to the capital market. In this study, we show how municipalities prone to earthquakes can use this type of insurance-linked security to protect their building stock and communities from economic losses, and ultimately increase their earthquake resilience. We consider Benevento, a middle-sized historical town in southern Italy, as a case study, although the same approach is applicable to other urban areas in seismically active regions. One of the crucial steps in pricing catastrophe bonds is the computation of aggregate losses. We compute direct economic losses for each exposed asset based on high spatial resolution hazard and exposure models. Finally, we use the simulated loss data to price two types of catastrophe bonds (zero-coupon and coupon bonds) for different thresholds and maturity times. Although the present application focuses on earthquakes, the framework can potentially be applied to other natural disasters, such as hurricanes, floods, and other extreme weather events.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Terremotos / Tormentas Ciclónicas / Seguro Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Terremotos / Tormentas Ciclónicas / Seguro Tipo de estudio: Etiology_studies / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido