Expectiles as basis risk-optimal payment schemes in parametric insurance

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<dc:creator>Maier, Markus Johannes</dc:creator>
<dc:creator>Scherer, Matthias</dc:creator>
<dc:creator>Springer Nature</dc:creator>
<dc:date>2026-12-21</dc:date>
<dc:description xml:lang="es">Sumario: The paper develops an analytical framework to minimize basis risk in parametric insurance by asymmetrically penalizing deviations between actual losses and payouts. Using the concept of expectiles, the authors derive optimal payment schemes for both pure parametric and parametric index insurance. The results establish that optimal compensations correspond to conditional expectiles of the insured's true loss, depending on the relative weight assigned to undercompensation versus overcompensation. The study links expectiles to coherent risk measures and stochastic orderings and proposes regression-based methods for practical implementation. Applications to agricultural insurance and cyber risk illustrate the relevance of the approach</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/190528.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Seguro agrario combinado</dc:subject>
<dc:subject xml:lang="es">Gerencia de riesgos</dc:subject>
<dc:subject xml:lang="es">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Seguro de ciberriesgos</dc:subject>
<dc:subject xml:lang="es">Minimización de riesgos</dc:subject>
<dc:subject xml:lang="es">Seguros paramétricos</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Expectiles as basis risk-optimal payment schemes in parametric insurance</dc:title>
<dc:relation xml:lang="es">En: European Journal of Ageing : social, behavioural and health perspectives. - Cham, Switzerland [etc.] : Springer International Publishing AG, 2021-. - 21/12/2026 Volumen 22 Número 2 - 2026 , 34 p.</dc:relation>
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