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dc.contributor.authorMelichov, Dmitrij
dc.date.accessioned2023-09-18T17:49:28Z
dc.date.available2023-09-18T17:49:28Z
dc.date.issued2010
dc.identifier.issn0132-2818
dc.identifier.other(BIS)VGT02-000021507
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/126564
dc.description.abstractIn 2010 J.M. Bardet and D. Surgailis [1] have introduced the increment ratio (IR) statistic which measures the roughness of random paths. It was shown that this statistic was applicable in the cases of diffusion processes driven by the standard Brownian motion, certain Gaussian processes and the Lévy process. This paper shows that the IR statistic can be applied to estimate the Hurst index H of the fractional geometric Brownian motion.eng
dc.description.abstract2010 m. J.M. Bardet ir D. Surgailis [1] įvedė pokyčių santykio (IR) statistiką, kuri matuoja atsitiktinio proceso trajektorijų šiurkštumą. Jie parodė, kad ši statistika gali būti taikoma difuziniams procesams, valdomiems standartinio Brauno judesio, tam tikriems Gauso procesams ir Lévy procesams. Šiame straipsnyje įrodoma, kad IR statistika gali būti taikoma trupmeninio geometrinio Brauno judesio Hursto indekso H vertinimui.lit
dc.formatPDF
dc.format.extentp. 368-372
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyCIS
dc.source.urihttps://doi.org/10.15388/LMR.2010.67
dc.titleApplying the IR statistic to estimate the Hurst index of the fractional geometric Brownian motion
dc.title.alternativeIR statistikos taikymas trupmeninio geometrinio Brauno judesio Hursto indekso vertinimui
dc.typeStraipsnis kitoje DB / Article in other DB
dcterms.references2
dc.type.pubtypeS3 - Straipsnis kitoje DB / Article in other DB
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.ltPokyčių santykio statistika
dc.subject.ltTrupmeninis Brauno judesys
dc.subject.ltTrupmeninis Black– Scholes modelis
dc.subject.ltHursto indekso vertinimas
dc.subject.enIncrement ratio statistic
dc.subject.enFractional geometric Brownian motion
dc.subject.enFractional Black-Scholes model
dc.subject.enHurst index estimation
dcterms.sourcetitleLietuvos matematikos rinkinys
dc.description.volumeT. 51
dc.publisher.nameMatematikos ir informatikos institutas
dc.publisher.cityVilnius
dc.identifier.doi10.15388/LMR.2010.67
dc.identifier.elaba3916362


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