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Embrace probabilistic risk models for the world's biggest agricultural producers
Recurso electrónico / Electronic resource
Sección: Artículos
Título: Embrace probabilistic risk models for the world's biggest agricultural producers
Descripción física: 3 p.Notas: Sumario: Agricultural risks are very complex and academia and the insurance industry need to work hand-in-hand to meet the challenges. Dr Laurent Marescot from RMS urges the insurance sector to look towards comprehensive probabilistic risk models to underwrite this class of insurance.Registros relacionados: En: Asia insurance review. - Singapore : Ins Communications Pte Ltd., 2009- = ISSN 0218-2696. - 01/09/2017 Número 9 - septiembre 2017 , p. 70-72Materia / lugar / evento: Mercado agrícola ‌Mercado de seguros ‌Modelos probabílisticos ‌Otras clasificaciones: 932
Derechos: In Copyright (InC)
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