Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/1767
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dc.creatorZornić, Nikola
dc.creatorMarković, Aleksandar
dc.creatorČavoški, Sava
dc.date.accessioned2023-05-12T11:13:10Z-
dc.date.available2023-05-12T11:13:10Z-
dc.date.issued2018
dc.identifier.issn1847-2001
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/1767-
dc.description.abstractCryptocurrencies are attracting significant amount of attention. Everything started with Bitcoin and built up to the situation where we have over 1500 cryptocurrencies. One can say that cryptocurrency market is the new stock market. This market is still highly volatile, but decentralized, open, and widely accessible. In this paper we will use time series analysis and Monte Carlo simulation for forecasting cryptocurrencies' return for selected time period. With huge price oscillations present it is hard to provide precise return predictions, but any step towards analysing cryptocurrencies adds to understanding the market.en
dc.publisherFac Organization And Informatics, Univ Zagreb, Varazdin
dc.rightsrestrictedAccess
dc.sourceCentral European Conference on Information and Intelligent Systems (CECIIS 2018)
dc.subjecttime seriesen
dc.subjectsimulationen
dc.subjectreturn on investmenten
dc.subjectMonte Carlo simulationen
dc.subjectmodelen
dc.subjectcryptocurrencyen
dc.titleForecasting Cryptocurrency Investment Return Using Time Series and Monte Carlo Simulationen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage160
dc.citation.other: 153-160
dc.citation.spage153
dc.identifier.rcubconv_2422
dc.identifier.wos000595063700019
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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