Rodyti trumpą aprašą

dc.contributor.authorPečiulis, Tomas
dc.contributor.authorVasiliauskaitė, Asta
dc.date.accessioned2023-09-18T16:13:55Z
dc.date.available2023-09-18T16:13:55Z
dc.date.issued2021
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112509
dc.description.abstractPurpose of the paper - to determine if essential global economic factors are influencing returns of Bitcoin and/or Ether and if these cryptocurrencies react to forementioned economic factors as a phenomenon of one financial entity. In this paper we apply SARMAX family models to forecast the daily returns of the two main cryptocurrencies with the highest capitalization - Bitcoin and Ether the circulating cryptocurrency in the ethereum blockchain network. We analysed 10 essential global economic factors (Crude oil, Gold, EUR/USD, 10-yr bond, Vix, CMC Crypto 200, FTSE 100, Nikkei 225, DAX 30, S&P 500) to determine which of them have the highest weight for the prediction of the returns of the Bitcoin and Ether as a supplement to their autoregressive nature and determined 5 most important exogenous factors to predict the returns of the analysed cryptocurrencies. We used machine learning algorithms to set the weights of the SARMAX models dependent variables as well as the form of the model itself.eng
dc.format.extentp. 809-818
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttps://msed.vse.cz/msed_2021/article/529-Peciulis-Tomas-paper.pdf
dc.source.urihttps://msed.vse.cz/msed_2021/sbornik/introduction.html
dc.titleExogenous factors that influence returns of Bitcoin and Ether
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references11
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enBitcoin
dc.subject.enEther
dc.subject.enmachine learning
dc.subject.enSARMAX
dc.subject.enexogenous factors
dcterms.sourcetitleThe 15th International days of statistics and economics, September 9–11, 2021, Prague : conference proceedings
dc.publisher.namePrague University of Economics and Business
dc.publisher.cityPrague
dc.identifier.elaba117991586


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Rodyti trumpą aprašą