Forecasting multinomial stock returns using machine learning methods

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dc.contributor.authorLauri Nevasalmi
dc.contributor.organizationfi=matematiikan ja tilastotieteen laitos|en=Department of Mathematics and Statistics|
dc.contributor.organizationfi=taloustiede|en=Economics|
dc.contributor.organization-code1.2.246.10.2458963.20.17691981389
dc.converis.publication-id50453375
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/50453375
dc.date.accessioned2022-10-28T13:51:18Z
dc.date.available2022-10-28T13:51:18Z
dc.format.pagerange106
dc.format.pagerange86
dc.identifier.eissn2405-9188
dc.identifier.jour-issn2405-9188
dc.identifier.olddbid184762
dc.identifier.oldhandle10024/167856
dc.identifier.urihttps://www.utupub.fi/handle/11111/40308
dc.identifier.urnURN:NBN:fi-fe2021042823905
dc.language.isoen
dc.okm.affiliatedauthorNevasalmi, Lauri
dc.okm.affiliatedauthorDataimport, Matematiikan ja tilastotieteen lait yht
dc.okm.discipline511 Economicsen_GB
dc.okm.discipline511 Kansantaloustiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherKeAi Communications Co.
dc.publisher.countryChinaen_GB
dc.publisher.countryKiinafi_FI
dc.publisher.country-codeCN
dc.relation.doi10.1016/j.jfds.2020.09.001
dc.relation.ispartofjournalJournal of Finance and Data Science
dc.relation.volume6
dc.source.identifierhttps://www.utupub.fi/handle/10024/167856
dc.titleForecasting multinomial stock returns using machine learning methods
dc.year.issued2020

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