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Regularized Calibration of Jump-Diffusion Option Pricing Models

An important issue in finance is model calibration. The calibration problem is the inverse of the option pricing problem. Calibration is performed on a set of option prices generated from a given exponential L´evy model. By numerical examples, it is shown that the usual formulation of the inverse problem via Non-linear Least Squares is an ill-posed problem. To achieve well-posedness of the problem, some regularization is needed. Therefore a regularization method based on relative entropy is applied.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-9063
Date January 2010
CreatorsNassar, Hiba
PublisherLinnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/masterThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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