Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/71427
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dc.contributor.authorWarattaya Chinnakumen_US
dc.contributor.authorSean Aguilaren_US
dc.date.accessioned2021-01-27T03:44:47Z-
dc.date.available2021-01-27T03:44:47Z-
dc.date.issued2020-09-01en_US
dc.identifier.issn02184885en_US
dc.identifier.other2-s2.0-85095977297en_US
dc.identifier.other10.1142/S0218488520400012en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85095977297&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71427-
dc.description.abstract© 2020 World Scientific Publishing Company. Nobel-Prize-winning Black-Scholes equations are actively used to estimate the price of options and other financial instruments. In practice, they provide a good estimate for the price, but the problem is that their original derivation is based on many simplifying statistical assumptions which are, in general, not valid for financial time series. The fact that these equations are effective way beyond their usual assumptions leads to a natural conclusion that there must be an alternative derivation for these equations, a derivation that does not use the usual too-strong assumptions. In this paper, we provide such a derivation in which the only substantial assumption is a natural symmetry: namely, scale-invariance of the corresponding processes. Scale-invariance also allows us to describe possible generalizations of Black-Scholes equations, generalizations that we hope will lead to even more accurate estimates for the corresponding prices.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleWhy black-scholes equations are effective beyond their usual assumptions: Symmetry-based explanationen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Uncertainty, Fuzziness and Knowlege-Based Systemsen_US
article.volume28en_US
article.stream.affiliationsThe University of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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