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Embrace probabilistic risk models for the world's biggest agricultural producers

Recurso electrónico / Electronic resource
MARC record
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001  MAP20170030096
003  MAP
005  20170920165429.0
008  170915e20170901sgp|||p |0|||b|eng d
040  ‎$a‎MAP‎$b‎spa‎$d‎MAP
084  ‎$a‎932
24500‎$a‎Embrace probabilistic risk models for the world's biggest agricultural producers
300  ‎$a‎3 p.
520  ‎$a‎Agricultural 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.
650 4‎$0‎MAPA20080576653‎$a‎Mercado agrícola
650 4‎$0‎MAPA20080586294‎$a‎Mercado de seguros
650 4‎$0‎MAPA20080611613‎$a‎Modelos probabílisticos
7730 ‎$w‎MAP20090003767‎$t‎Asia insurance review‎$d‎Singapore : Ins Communications Pte Ltd., 2009-‎$x‎0218-2696‎$g‎01/09/2017 Número 9 - septiembre 2017 , p. 70-72