Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Nonlinear Regression for an Asymptotic Option Price

Full metadata record
DC Field Value Language
dc.contributor.author송성주-
dc.contributor.author송종우-
dc.date.accessioned2021-09-09T15:44:46Z-
dc.date.available2021-09-09T15:44:46Z-
dc.date.created2021-06-17-
dc.date.issued2008-
dc.identifier.issn1225-066X-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/125289-
dc.description.abstractThis paper approaches the problem of option pricing in an incomplete market, where the underlying asset price process follows a compound Poisson model. We assume that the price process follows a compound Poisson model under an equivalent martingale measure and it converges weakly to the Black-Scholes model. First, we express the option price as the expectation of the discounted payoff and expand it at the Black-Scholes price to obtain a pricing formula with three unknown parameters. Then we estimate those parameters using the market option data. This method can use the option data on the same stock with different expiration dates and different strike prices.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher한국통계학회-
dc.titleNonlinear Regression for an Asymptotic Option Price-
dc.title.alternativeNonlinear Regression for an Asymptotic Option Price-
dc.typeArticle-
dc.contributor.affiliatedAuthor송성주-
dc.identifier.bibliographicCitation응용통계연구, v.21, no.5, pp.755 - 763-
dc.relation.isPartOf응용통계연구-
dc.citation.title응용통계연구-
dc.citation.volume21-
dc.citation.number5-
dc.citation.startPage755-
dc.citation.endPage763-
dc.type.rimsART-
dc.identifier.kciidART001287912-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorOption pricing-
dc.subject.keywordAuthorcompound Poisson-
dc.subject.keywordAuthorasymptotic expansion-
dc.subject.keywordAuthornonlinear regression-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Political Science & Economics > Department of Statistics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Song, Seongjoo photo

Song, Seongjoo
College of Political Science & Economics (Department of Statistics)
Read more

Altmetrics

Total Views & Downloads

BROWSE