Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/24779
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dc.contributor.advisorSriram, Karthik-
dc.contributor.authorYayavaram, Anish Pratik-
dc.date.accessioned2021-11-25T09:23:43Z-
dc.date.available2021-11-25T09:23:43Z-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/11718/24779-
dc.description.abstractInsurance is an inherently risky industry, since its fundamental premise is centered around people paying “premiums” to offset their exposure to various specific categories of risk by placing the burden of that risk on an insurance provider. The insurance provider is able to shoulder this burden by collecting these premiums from diverse insurance contracts, so as to “pool” risk by ensuring the finances raised through these contracts can be drawn from in order to pay off a subset of claims. However, the more inherently risky the insurance category, the more severe the downside risk is, as greater fractions of customers will be put in positions to claim insurance payouts.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectIBNRen_US
dc.subjectIndian insurance companiesen_US
dc.subjectPolicy-holding customersen_US
dc.titleIBNR loss forecasting for Indian insurance companies - analysis of IBNR loss forecasting for Indian insurance companies and related regulatory reportingen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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