Sovbetov, Yhlas (2018): Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero. Published in: Journal of Economics and Financial Analysis , Vol. 2, No. 2 (17 February 2018): pp. 1-27.
Preview |
PDF
MPRA_paper_85036.pdf Download (954kB) | Preview |
Abstract
This paper examines factors that influence prices of most common five cryptocurrencies such Bitcoin, Ethereum, Dash, Litecoin, and Monero over 2010-2018 using weekly data. The study employs ARDL technique and documents several findings. First, cryptomarket-related factors such as market beta, trading volume, and volatility appear to be significant determinant for all five cryptocurrencies both in short- and long-run. Second, attractiveness of cryptocurrencies also matters in terms of their price determination, but only in long-run. This indicates that formation (recognition) of the attractiveness of cryptocurrencies are subjected to time factor. In other words, it travels slowly within the market. Third, SP500 index seems to have weak positive long-run impact on Bitcoin, Ethereum, and Litcoin, while its sign turns to negative losing significance in short-run, except Bitcoin that generates an estimate of -0.20 at 10% significance level. Lastly, error-correction models for Bitcoin, Etherem, Dash, Litcoin, and Monero show that cointegrated series cannot drift too far apart, and converge to a long-run equilibrium at a speed of 23.68%, 12.76%, 10.20%, 22.91%, and 14.27% respectively.
Item Type: | MPRA Paper |
---|---|
Original Title: | Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero |
English Title: | Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero |
Language: | English |
Keywords: | Cryptocurrency; Bitcoin; Ethereum; Cointegration; ARDL Bound Test; Error Correction Model; Cryptocurrency Prices; Cryptocurrency Analysis; Cryptocurrency price determinants. |
Subjects: | F - International Economics > F3 - International Finance > F31 - Foreign Exchange G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 85036 |
Depositing User: | Dr Yhlas Sovbetov |
Date Deposited: | 18 Mar 2018 05:00 |
Last Modified: | 26 Sep 2019 10:51 |
References: | Bouoiyour, J., and Selmi, R. (2016). Bitcoin: A beginning of a new phase? Economics Bulletin, 36, 1430–40. Brill, A., and Keene, L. (2014). Cryptocurrencies: The Next Generation of Terrorist Financing? Defence Against Terrorism Review, 6(1), 7-30. Chiu, J., and Koeppl, T. (2017). The Economics of Cryptocurrencies - Bitcoin and Beyond. Bank of Canada. Chu, J. Chan, S., Nadarajah, S., and Osterrieder, J. (2017). GARCH Modelling of Cryptocurrencies. Journal of Risk and Financial Management, 10 (17), 1-15. doi:10.3390/jrfm10040017 Dyhrberg, A. (2016). Hedging capabilities of Bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139–44. El Bahrawy, A., and Alessandretti, L. (2017). Evolutionary dynamics of the cryptocurrency market. Royal Society Open Science, 4(170623), http://dx.doi.org/10.1098/rsos.170623 Katsiampa, P. (2017). Volatility estimation for Bitcoin: A comparison of GARCH models. Economics Letters, 158, 3–6. Letra, I.J.S. (2016). What drives cryptocurrency value? A volatility and predictability analysis. Available online: https://www.repository.utl.pt/handle/10400.5/12556 (accessed on 15 December 2017). Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Unpublished manuscript. Retrieved at http://pdos.csail.mit.edu/6.824/papers/bitcoin.pdf. Newey, W., and West, K. (1987). A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix. Econometrica, 55(3), 703-08. Pesaran, M.H., Shin, Y., and Smith, R.J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289-326. Polasik, M., Piotrowska, A., Wisniewski, T.P., Kotkowski, R., and Lightfoot, G. (2015). Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry. International Journal of Electronic Commerce, 20(1), 9-49 Poyser, O. (2017). Exploring the determinants of Bitcoin’s price: an application of Bayesian Structural Time Series. Dissertation. Schwarz, G.E. (1978), Estimating the dimension of a model. Annals of Statistics, 6(2), 461–464, doi:10.1214/aos/1176344136. Sovbetov, Y., and Saka, H. (2018). Does it take two to tango: Interaction between Credit Default Swaps and National Stock Indices. Journal of Economics and Financial Analysis, 2(1), pp. 129-149. Yermack, D. (2013). Is Bitcoin a real currency? An economic appraisal. NBER Working Paper Series, No: 19747. doi:10.3386/w19747 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/85036 |