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Original Articles

The economics of BitCoin price formation

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References

  • Barber, B. M., 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.
  • Barber, S., 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, Keromytis, A. D., 399–414. Berlin: Springer.
  • Barro, R. J. 1979. “Money and the Price Level Under the Gold Standard.” The Economic Journal 89 (353): 13–33. doi:10.2307/2231404.
  • Bouoiyour, J., and R. Selmi. 2015. What Does BitCoin Look Like? MPRA Paper No. 58091. Germany: University Library of Munich.
  • Bouoiyour, J., 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.
  • Buchholz, M., 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.
  • Cuthbertson, A. 2015. “Bitcoin Now Accepted by 100,000 Merchants Worldwide.” International Business Times. Accessed February 4 2015. www.ibtimes.co.uk/bitcoin-now-accepted-by-100000-merchants-worldwide-1486613.
  • Dimitrova, D. 2005. “The Relationship between Exchange Rates and Stock Prices: Studied in a Multivariate Model.” Issues in Political Economy 14: 1–25.
  • Elliot, G., T. J. Rothenberg, and J. H. Stock. 1996. “Efficient Tests for an Autoregressive Unit Root.” Econometrica 64: 813–836. doi:10.2307/2171846.
  • Engle, R. F., and C. W. J. Granger. 1987. “Co-Integration and Error Correction: Representation, Estimation and Testing.” Econometrica 55 (2): 251–276. doi:10.2307/1913236.
  • Gervais, S., 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.
  • Greco, T. H. 2001. Money: Understanding and Creating Alternatives to Legal Tender. White River Junction, Vermont: Chelsea Green Publishing.
  • Grinberg, R. 2011. “BitCoin: An Innovative Alternative Digital Currency.” Hastings Science & Technology Law Journal 4: 159–208.
  • Grullon, G., 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.
  • Johansen, S., 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.
  • Kancs, D., 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.
  • Kristoufek, L. 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.
  • Kroll, J., 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.
  • Krugman, P. R., and M. Obstfeld. 2003. International Economics: Theory and Policy. 6th ed. USA: Addison Wesley.
  • Lee, T. B. 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/.
  • Lütkepohl, H., and M. Krätzig. 2004. Applied Time Series Econometrics. Cambridge: Cambridge University Press. doi:10.1017/cbo9780511606885.
  • Matonis, J. 2012. “Top 10 BitCoin Statistics.” Forbes. Accessed 31July 2011. www.forbes.com/sites/jonmatonis/2012/07/31/top-10-bitcoin-statistics.
  • Moore, T., and N. Christin. 2013. “Beware the Middleman: Empirical Analysis of BitCoin-Exchange Risk.” Financial Cryptography and Data Security 7859: 25–33.
  • Palombizio, E., and I. Morris. 2012. “Forecasting Exchange Rates using Leading Economic Indicators.” Open Access Scientific Reports 1 (8): 1–6.
  • Pantula, S. G. 1989. “Testing for Unit Roots in Time Series Data.” Econometric Theory 5: 256–271. doi:10.1017/S0266466600012421.
  • Perron, P. 1989. “The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis.” Econometrica 57: 1361–1401. doi:10.2307/1913712.
  • Pesaran, M. H., and B. Pesaran. 2009. Time Series Economterics Using Microfit 5.0. Oxford: Oxford University Press.
  • Pesaran, M. H., 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.
  • van Wijk, D. 2013. What can be expected from the BitCoin? Working Paper No. 345986. Rotterdam: Erasmus Rotterdam Universiteit.