Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/893
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dc.contributor.authorGopal, Naresh.-
dc.contributor.authorKumar, Senthil K. S.-
dc.date.accessioned2020-12-22T05:55:05Z-
dc.date.available2020-12-22T05:55:05Z-
dc.date.issued2020-10-
dc.identifier.citationGopal, N., & Kumar, K. S. S. (2020). Predicting bitcoin prices - ANN approach. International Journal of Electronic Finance. 10(1/2), 67-78.en_US
dc.identifier.issn1746-0077-
dc.identifier.urihttp://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/893-
dc.description.abstractBitcoin, the first cryptocurrency is believed to be designed by Satoshi Nakamoto in 2009 as a peer-to-peer structure whereby users can handle directly without requiring an intermediary. Cryptocurrencies have enjoyed some success and 'bitcoin' is now the largest cryptocurrency, with the total number of bitcoins currently valued at approximately 70 billion US dollars. However, globally there are economies which favour the bitcoin and some have banned the same. While many day traders have cash out their funds, veteran traders remain unfazed. In this scenario, it is essential to look into their price behaviour which reveals that there is huge a fluctuation, i.e., highly volatile in nature. Henceforth, their relationships with the trading volume, money supply, lag prices which influences the trade in bitcoin are measured using the ANN model revealing highly significant relationship.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Electronic Financeen_US
dc.subjectCryptocurrencyen_US
dc.subjectBitcoinen_US
dc.subjectIIM Ranchien_US
dc.titlePredicting bitcoin prices - ANN approachen_US
dc.typeArticleen_US
dc.volume10en_US
dc.issue1/2en_US
Appears in Collections:Journal Articles

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