The Path Integral Approach to Financial Modeling and Options Pricing
dc.contributor.author | Linetsky, Vadim | en_US |
dc.date.accessioned | 2006-09-11T14:39:18Z | |
dc.date.available | 2006-09-11T14:39:18Z | |
dc.date.issued | 1997-04 | en_US |
dc.identifier.citation | Linetsky, Vadim; (1997). "The Path Integral Approach to Financial Modeling and Options Pricing." Computational Economics 11 (1-2): 129-163. <http://hdl.handle.net/2027.42/44345> | en_US |
dc.identifier.issn | 0927-7099 | en_US |
dc.identifier.issn | 1572-9974 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/44345 | |
dc.description.abstract | In this paper we review some applications of the path integral methodology of quantum mechanics to financial modeling and options pricing. A path integral is defined as a limit of the sequence of finite-dimensional integrals, in a much the same way as the Riemannian integral is defined as a limit of the sequence of finite sums. The risk-neutral valuation formula for path-dependent options contingent upon multiple underlying assets admits an elegant representation in terms of path integrals (Feynman–Kac formula). The path integral representation of transition probability density (Green's function) explicitly satisfies the diffusion PDE. Gaussian path integrals admit a closed-form solution given by the Van Vleck formula. Analytical approximations are obtained by means of the semiclassical (moments) expansion. Difficult path integrals are computed by numerical procedures, such as Monte Carlo simulation or deterministic discretization schemes. Several examples of path-dependent options are treated to illustrate the theory (weighted Asian options, floating barrier options, and barrier options with ladder-like barriers). | en_US |
dc.format.extent | 247987 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Financial Derivatives | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Economic Theory | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.subject.other | Options Pricing | en_US |
dc.subject.other | Path Integrals | en_US |
dc.subject.other | Stochastic Models. | en_US |
dc.title | The Path Integral Approach to Financial Modeling and Options Pricing | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Industrial and Operations Engineering, University of Michigan, 272 IOE Building, 1205 Beal Avenue, Ann Arbor, MI, 48109-2117, U.S.A. | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/44345/1/10614_2004_Article_137534.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1008658226761 | en_US |
dc.identifier.source | Computational Economics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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