Bouoiyour, Jamal and Selmi, Refk (2014): What Does Crypto-currency Look Like? Gaining Insight into Bitcoin Phenomenon.
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Abstract
The present paper seeks to effectively address the following question: What Bitcoin looks like? To do so, we regress Bitcoin price on a number of variables (Bitcoin fundamentals recorded in the literature) by applying an ARDL Bounds Testing approach for daily data covering the period from December 2010 to June 2014. Our findings highlight the speculative nature of Bitcoin. We also provide insightful evidence that Bitcoin may be used for economic reasons but there is any sign of being a safe haven. By considering the Chinese trading bankruptcy and the closing of Road Silk by FBI, the contribution of users’ interest stills sharply dominant, indicating the robustness of our results.
Item Type: | MPRA Paper |
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Original Title: | What Does Crypto-currency Look Like? Gaining Insight into Bitcoin Phenomenon |
Language: | English |
Keywords: | Bitcoin; ARDL Bounds Testing method; innovative accounting approach; VEC Granger causality test. |
Subjects: | E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 57907 |
Depositing User: | R. Selmi |
Date Deposited: | 22 Aug 2014 05:05 |
Last Modified: | 27 Sep 2019 03:59 |
References: | Aguiar-Conraria, L. and Soares, M-J. (2011), “The continuous wavelet transform: A primer.” NIPE working paper n°16, University of Minho. Bouoiyour, J., Selmi, R. and Tiwari, A-K. (2014), “Is Bitcoin Business Income or Speculative Bubble? Unconditional vs. Conditional Frequency Domain Analysis.” Working paper, University of Pau. Breitung, J., and Candelon, B. (2006), “Testing for short and long-run causality: a frequency domain approach.” Journal of Econometrics, 132, 363-378. Buchholz, M., Delaney, J., Warren, J. and Parker, J. (2012), “Bits and Bets, Information, Price Volatility, and Demand for Bitcoin.” Economics 312, http://www.bitcointrading.com/pdf/bitsandbets.pdf Ciaian, P., Rajcaniova, M. and Kancs, D. (2014), “The Economics of BitCoin Price Formation”. http://arxiv.org/ftp/arxiv/papers/1405/1405.4498.pdf Glaster, F., Kai, Z., Haferkorn, M., Weber, M. and Sieiring, M. (2014), “Bitcoin - asset or currency? Revealing users’hidden intentions.” Twenty Second European Conference on Information Systems. http://ecis2014.eu/E-poster/files/0917-file1.pdf Gregory, A.W. and Hansen, B.E. (1996), "Residual based Tests for Co-integration in Models with Regime Shifts." Journal of Econometrics, 70,99-126. Kristoufek, L. (2013), “BitCoin meets Google Trends and Wikipedia: Quantifying the relationship between phenomena of the Internet era.” Scientific Reports 3 (3415), 1-7. Kristoufek, L. (2014), “What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis.” http://arxiv.org/pdf/1406.0268.pdf Glouderman, L. (2014), “Bitcoin’s Uncertain Future in China.” USCC Economic Issue Brief n° 4, May 12. Ng, E.K. and Chan, J.C. (2012), “Geophysical Applications of Partial Wavelet Coherence and Multiple Wavelet Coherence.” American Meteological Society, December. DOI: 10.1175/JTECH-D-12-00056.1 Palombizio E. and Morris, I. (2012), “Forecasting Exchange Rates using Leading Economic Indicators.” Open Access Scientific Reports 1(8), pp. 1-6. Pesaran, M. and Shin, Y. (1999), “An Autoregressive Distributed Lag Modeling Approach to Cointegration Analysis.” S. Strom, (ed) Econometrics and Economic Theory in the 20th Century, Cambridge University. Pesaran, M.H., Y. Shin., and Smith R. (2001), “Bounds testing approaches to the analysis of level relationships.” Journal of Applied Econometrics, 16,289-326. Piskorec, P., Antulov-Fantulin, N., Novak, P.K., Mozetic, I., Grcar, M., Vodenska, I. and Šmuc, T. (2014), “News Cohesiveness: an Indicator of Systemic Risk in Financial Markets.” arXiv:1402.3483v1 [cs.SI], http://arxiv.org/pdf/1402.3483v1.pdf Yermack, D. (2013), “Is Bitcoin a Real Currency? An economic appraisal.” NBER Working Paper No. 19747. http://www.nber.org/papers/w19747 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/57907 |