Does Bitcoin follow the hypothesis of efficient market?
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- Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016.
"The economics of BitCoin price formation,"
Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," EERI Research Paper Series EERI RP 2014/08, Economics and Econometrics Research Institute (EERI), Brussels.
- Pavel Ciaian & Miroslava Rajcaniova & d'Artis Kancs, 2014. "The Economics of BitCoin Price Formation," Papers 1405.4498, arXiv.org.
- Bardsen, Gunnar, 1989.
"Estimation of Long Run Coefficients in Error Correction Models,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 51(3), pages 345-350, August.
- Bardsen, G., 1988. "On The Estimation Of Long Run Coefficients In Error Correction Models," Papers 03-88, Norwegian School of Economics and Business Administration-.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015.
"Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins,"
Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2013. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin," Working Papers CEB 13-031, ULB -- Universite Libre de Bruxelles.
- Marie Brière & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoin," Post-Print hal-02315410, HAL.
- Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," ULB Institutional Repository 2013/226296, ULB -- Universite Libre de Bruxelles.
- David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
- Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
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More about this item
Keywords
Cryptocurrencie; Bitcoin; Financial market;All these keywords.
JEL classification:
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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