Some applications and methods of large deviations in finance and insurance

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dc.creatorPham, Huyen
dc.date2007-02-16
dc.date2007-02-19
dc.date.accessioned2026-07-07T12:07:21Z
dc.date.available2026-07-07T12:07:21Z
dc.descriptionIn these notes, we present some methods and applications of large deviations to finance and insurance. We begin with the classical ruin problem related to the Cramer's theorem and give en extension to an insurance model with investment in stock market. We then describe how large deviation approximation and importance sampling are used in rare event simulation for option pricing. We finally focus on large deviations methods in risk management for the estimation of large portfolio losses in credit risk and portfolio performance in market investment.
dc.identifierhttps://arxiv.org/abs/math/0702473
dc.identifierhttp://arxiv.org/abs/math/0702473
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208943
dc.subjectProbability
dc.subjectStatistical Finance
dc.subject60F10, 62P05, 65C05, 91B28, 91B30
dc.titleSome applications and methods of large deviations in finance and insurance
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