2014
DOI: 10.2139/ssrn.2516754
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Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry

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Cited by 21 publications
(18 citation statements)
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References 101 publications
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“…The fluctuation in bitcoin's price is also influenced by the new adopters of bitcoin itself, or as can be said, the new users and it's spread by word of mouth (Garcia, Tessone, Mavrodiev, & Perony, 2014). The research by Polasik, Piotrowska, Wisniewski, Kotkowski, and Lightfoot (2015) found that the rising number of bitcoin users, whether they treat bitcoin as an investment or as a payment media, also drives the price of bitcoin.…”
Section: Related Workmentioning
confidence: 99%
“…The fluctuation in bitcoin's price is also influenced by the new adopters of bitcoin itself, or as can be said, the new users and it's spread by word of mouth (Garcia, Tessone, Mavrodiev, & Perony, 2014). The research by Polasik, Piotrowska, Wisniewski, Kotkowski, and Lightfoot (2015) found that the rising number of bitcoin users, whether they treat bitcoin as an investment or as a payment media, also drives the price of bitcoin.…”
Section: Related Workmentioning
confidence: 99%
“…Gox in 2014). Polasik, Piotrowska, Wisniewski, Kotkowski & Lightfoot (2015) found no significant effect of changes in supply on Bitcoin returns. If cryptocurrencies are homogenous the choice of design for token creation should not create any variation across the cryptocurrencies tested, instead they should all follow the potential negative impact on returns that an increased supply suggests for Bitcoin.…”
Section: Tokens In Circulationmentioning
confidence: 78%
“…Cryptocurrencies that target generic markets could end up on both ends of the spectrum. The monetary velocity can be proxied by for example output volume (Bouoiyour & Selmi, 2015), number of transactions performed (Polasik et al, 2015) or days destroyed per transaction (Ciaian et al, 2016). Bouoiyour & Selmi (2015) find no significant impact from monetary velocity on the logarithmized Bitcoin prices.…”
Section: Monetary Velocitymentioning
confidence: 99%
“…Kristoufek (2013) shows a very high correlation between the Google Trends, Wikipedia views on Bitcoins and the Bitcoin exchange rate, and, in a later paper, Kristoufek (2015) shows that speculative behaviour and the exchange--trade ratio play a significant role at lower frequencies. Bouoiyour and Selmi (2015) also identify several determinants of the Bitcoin exchange rate, including Google searches, hash rate, ratio of exchange -trade volume and stock market dynamics, while Polasik et al (2015) conclude that Bitcoin returns are mainly driven by news volume, news sentiment and the number of traded Bitcoins.…”
Section: Literature Reviewmentioning
confidence: 99%