Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/137566
DC FieldValueLanguage
dc.contributor應數系
dc.creator蔡炎龍
dc.creatorTsai, Yen-Lung
dc.creatorLiu, Hsuan-Ku
dc.creatorLin, Tse-Yu
dc.date2021-04
dc.date.accessioned2021-10-27T03:01:31Z-
dc.date.available2021-10-27T03:01:31Z-
dc.date.issued2021-10-27T03:01:31Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/137566-
dc.description.abstractThis paper studies the properties of the parabolic free-boundary problem arising from pricing of American volatility options in mean-reverting volatility processes. When the volatility index follows the mean-reverting square root process (MRSRP), we derive a closed-form pricing formula for the perpetual American power volatility option. Moreover, an artificial neural network (ANN) approach is extended to find an approximate solution of the free boundary problem arising from pricing the perpetual American option. The comparison results demonstrates that the ANN provides an accurate approach to approximate solution for the free boundary problem.
dc.format.extent343951 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationTaiwanese Journal of Mathematics, Vol.25, No.2, pp. 365-379
dc.subjectAmerican volatility options ;  free boundary problem ;  neural network approach
dc.titleOn the Pricing Formula for the Perpetual American Volatility Option Under the Mean-reverting Processes
dc.typearticle
dc.identifier.doi10.11650/tjm/200803
dc.doi.urihttps://doi.org/10.11650/tjm/200803
item.openairetypearticle-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
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