The economics of BitCoin price formation

Applied Economics

Volumn 48, Issue 19, 2016, Pages 1799-1815

  Ciaian, Pavel ^a   Rajcaniova, Miroslava ^b,c,d   Kancs, d’Artis ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b Economics and Econometrics Research Institute (EERI)   (Belgium)

^c UNIVERSITY OF LEUVEN   (Belgium)

^d SLOVAK UNIVERSITY OF AGRICULTURE IN NITRA   (Slovakia)

Author keywords

BitCoin; exchange rate; financial indicators; financial investment; supply and demand

Indexed keywords

CONCEPTUAL FRAMEWORK; CURRENCY; ECONOMIC IMPACT; ECONOMICS; EXCHANGE RATE; INVESTMENT; PRICE DYNAMICS; TECHNOLOGY;

EID: 84958844537     PISSN: 00036846     EISSN: 14664283     Source Type: Journal    
DOI: 10.1080/00036846.2015.1109038     Document Type: Article

References (29)

1. B.M.Barber,, and T.Odean. 2008. “All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors.” Review of Financial Studies 21 (2): 785–818. doi:10.1093/rfs/hhm079.
2. S.Barber,, X.Boyen, E.Shi, and E.Uzun. 2012. “Bitter to Better-How to Make BitCoin a Better Currency.” In Financial Cryptography and Data Security. Vol. 7397, of Lecture Notes in Computer Science, edited by, A.D.Keromytis,, 399–414. Berlin: Springer.
3. R.J.Barro, 1979. “Money and the Price Level Under the Gold Standard.” The Economic Journal 89 (353): 13–33. doi:10.2307/2231404.
4. J.Bouoiyour,, and R.Selmi. 2015. What Does BitCoin Look Like? MPRA Paper No. 58091. Germany: University Library of Munich.
5. J.Bouoiyour,, R.Selmi, and A.Tiwari 2014. Is BitCoin business income or speculative bubble? Unconditional vs. conditional frequency domain analysis. MPRA Paper No. 59595. Germany: University Library of Munich.
6. M.Buchholz,, J.Delaney, J.Warren, and J.Parker. 2012. “Bits and Bets, Information, Price Volatility, and Demand for BitCoin, Economics 312.” www.bitcointrading.com/pdf/bitsandbets.pdf.
7. A.Cuthbertson, 2015. “Bitcoin Now Accepted by 100,000 Merchants Worldwide.” International Business Times. Accessed February4 2015. www.ibtimes.co.uk/bitcoin-now-accepted-by-100000-merchants-worldwide-1486613.
8. D.Dimitrova, 2005. “The Relationship between Exchange Rates and Stock Prices: Studied in a Multivariate Model.” Issues in Political Economy 14: 1–25.
9. G.Elliot,, T.J.Rothenberg, and J.H.Stock. 1996. “Efficient Tests for an Autoregressive Unit Root.” Econometrica 64: 813–836. doi:10.2307/2171846.
10. R.F.Engle,, and C.W.J.Granger. 1987. “Co-Integration and Error Correction: Representation, Estimation and Testing.” Econometrica 55 (2): 251–276. doi:10.2307/1913236.
11. S.Gervais,, R.Kaniel, and D.H.Mingelgrin. 2001. “The High-Volume Return Premium.” The Journal of Finance 56: 877–919. doi:10.1111/0022-1082.00349.
12. T.H.Greco, 2001. Money: Understanding and Creating Alternatives to Legal Tender. White River Junction, Vermont: Chelsea Green Publishing.
13. R.Grinberg, 2011. “BitCoin: An Innovative Alternative Digital Currency.” Hastings Science & Technology Law Journal 4: 159–208.
14. G.Grullon,, G.Kanatas, and J.P.Weston. 2004. “Advertising, Breadth of Ownership, and Liquidity.” Review of Financial Studies 17: 439–461. doi:10.1093/rfs/hhg039.
15. S.Johansen,, and K.Juselius. 1990. “Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money.” Oxford Bulletin of Economics and Statistics 52 (2): 169–210. doi:10.1111/j.1468-0084.1990.mp52002003.x.
16. D.Kancs,, P.Ciaian, and M.Rajcaniova. 2015. The Digital Agenda of Virtual Currencies: Can BitCoin Become a Global Currency? IPTS Working Papers JRC97043. European Commission, DG Joint Research Centre. Luxembourg: Publications Office of the European Union.
17. L.Kristoufek, 2013. “Bitcoin Meets Google Trends and Wikipedia: Quantifying the Relationship between Phenomena of the Internet Era.” Scientific Reports 3 (3415): 1–7. doi:10.1038/srep03415.
18. J.Kroll,, I.Davey, and E.Felten 2013. “The Economics of BitCoin Mining, or BitCoin in the Presence of Adversaries, WEIS 2013.” weis2013.econinfosec.org/papers/KrollDaveyFeltenWEIS2013.pdf.
19. P.R.Krugman,, and M.Obstfeld. 2003. International Economics: Theory and Policy. 6th ed. USA: Addison Wesley.
20. T.B.Lee, 2014. “These Four Charts Suggest that Bitcoin Will Stabilize in the Future.” Washington Post. www.washingtonpost.com/blogs/the-switch/wp/2014/02/03/these-four-charts-suggest-that-bitcoin-will-stabilize-in-the-future/.
21. H.Lütkepohl,, and M.Krätzig. 2004. Applied Time Series Econometrics. Cambridge: Cambridge University Press. doi:10.1017/cbo9780511606885.
22. J.Matonis, 2012. “Top 10 BitCoin Statistics.” Forbes. Accessed 31July 2011. www.forbes.com/sites/jonmatonis/2012/07/31/top-10-bitcoin-statistics.
23. T.Moore,, and N.Christin. 2013. “Beware the Middleman: Empirical Analysis of BitCoin-Exchange Risk.” Financial Cryptography and Data Security 7859: 25–33.
24. E.Palombizio,, and I.Morris. 2012. “Forecasting Exchange Rates using Leading Economic Indicators.” Open Access Scientific Reports 1 (8): 1–6.
25. S.G.Pantula, 1989. “Testing for Unit Roots in Time Series Data.” Econometric Theory 5: 256–271. doi:10.1017/S0266466600012421.
26. P.Perron, 1989. “The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis.” Econometrica 57: 1361–1401. doi:10.2307/1913712.
27. M.H.Pesaran,, and B.Pesaran. 2009. Time Series Economterics Using Microfit 5.0. Oxford: Oxford University Press.
28. M.H.Pesaran,, Y.Shin, and R.J.Smith. 2001. “Bounds Testing Approaches to the Analysis of Level Relationships.” Journal of Applied Econometrics 16 (3): 289–326. doi:10.1002/jae.616.
29. D.van Wijk, 2013. What can be expected from the BitCoin? Working Paper No. 345986. Rotterdam: Erasmus Rotterdam Universiteit.