DSpace Repository

Predicting bitcoin prices - ANN approach

Show simple item record

dc.contributor.author Gopal, Naresh.
dc.contributor.author Kumar, Senthil K. S.
dc.date.accessioned 2020-12-22T05:55:05Z
dc.date.available 2020-12-22T05:55:05Z
dc.date.issued 2020-10
dc.identifier.citation Gopal, 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.issn 1746-0077
dc.identifier.uri http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/893
dc.description.abstract Bitcoin, 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.iso en en_US
dc.publisher International Journal of Electronic Finance en_US
dc.subject Cryptocurrency en_US
dc.subject Bitcoin en_US
dc.subject IIM Ranchi en_US
dc.title Predicting bitcoin prices - ANN approach en_US
dc.type Article en_US
dc.volume 10 en_US
dc.issue 1/2 en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record