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2022 | OriginalPaper | Buchkapitel

Determinants of Bitcoin Price: Evidence from Asymmetrical Analysis

verfasst von : Anoop S. Kumar, Taufeeq Ajaz

Erschienen in: Studies in International Economics and Finance

Verlag: Springer Singapore

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Abstract

Using technical determinants (mining difficulty), macroeconomic and financial determinants (FED rate, S&P 500 and Altcoins) as well as the investor attention (Google Search), we model their possible short-run and long-run asymmetric impacts on the Bitcoin prices. Monthly data ranging from May 2013 to Dec 2019 is employed for the modelling purposes. In order to capture the possible asymmetry, nonlinear auto-regressive distributed lag model (NARDL) is employed for the purpose of estimation. The results reveal that FED rate and mining difficulty has a long-run positive impact on Bitcoin prices, whereas Altcoins are found to have long-run negative impact. Further, short-run negative asymmetry was found for Google Search, S&P 500 and Altcoins. This study conclusively proves that the potential determinants of Bitcoin prices have both long- and short-run asymmetric impact on Bitcoin prices.

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Barro, R. J. (1979). Money and the price level under the gold standard. The Economic Journal, 89(353), 13–33.CrossRef

Bartos, J. (2015). Does bitcoin follow the hypothesis of efficient market? International Journal of Economic Sciences, 4(2), 10–23.CrossRef

Bouoiyour, J., & Selmi, R. (2015). What does bitcoin look like? Annals of Economics and Finance, 16(2), 449–492.

Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54(03), 177–189.

Bouri, E., Gupta, R., Tiwari, A. K., & Roubaud, D. (2017). Does bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 23(Suppl. C), 87–95.

Ciaian, P., Rajcaniova, M., & Kancs, D. (2016). The economics of bitcoin price formation. Applied Economics, 48(19), 1799–1815.CrossRef

Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34.CrossRef

Dyhrberg, A. H. (2016). Bitcoin, gold and the dollar—A GARCH volatility analysis. Finance Research Letters, 16, 85–92.CrossRef

Ennis, C. (2013). Is bitcoin like gold? An examination of the hedging and safe haven properties of the virtual currency (Master’s thesis). Trinity College Dublin.

Granger, C. W., & Yoon, G. (2002). Hidden cointegration. Department of Economics, University of California. Unpublished Working Paper. https://escholarship.org/content/qt9qn5f61j/qt9qn5f61j.pdf

Huhtinen, T. P. (2014). Bitcoin as a monetary system: Examining attention and attendance (Master’s thesis). Aalto University School of Business.

Kristoufek, L. (2013). Bitcoin meets google trends and Wikipedia: Quantifying the relationship between phenomena of the internet era. Scientific Reports, 3, Article Number 3415.

Kristoufek, L. (2015). What are the main drivers of the bitcoin price? Evidence from wavelet coherence analysis. PLoS One, 10(4), e0123923.

Li, X., & Wang, C. A. (2017). The technology and economic determinants of cryptocurrency exchange rates: The case of bitcoin. Decision Support Systems, 95, 49–60.CrossRef

Nakamoto, S. (2009). Bitcoin: A peer-to-peer electronic cash system. Bitcoin.org. Available from: https://bitcoin.org/en/bitcoin-paper

Ouattara, B. (2004). Foreign aid and fiscal policy in Senegal (pp. 262–267). Mimeo University of Manchester

Polasik, M., Piotrowska, A. I., Wisniewski, T. P., Kotkowski, R., & Lightfoot, G. (2015). Price fluctuations and the use of bitcoin: An empirical inquiry. International Journal of Electronic Commerce, 20(1), 9–49.CrossRef

Panagiotidis, T., Stengos, T., & Vravosinos, O. (2018). On the determinants of bitcoin returns: A lasso approach. Finance Research Letters, 27, 235–240.CrossRef

Pesaran, M. H., & Shin, Y. (1999). An autoregressive distributed lag modeling approach to cointegration analysis. In S. Strom, (Ed.), Econometrics and Economic Theory in the 20th Century. The Ragnar Frisch Centennial Symposium, chapter 11. Cambridge University Press.

Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326.CrossRef

Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.CrossRef

Shin, Y., Yu, B. C., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. Sickels & W. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (pp. 281–314). Springer.CrossRef

Stensås, A., Nygaard, M. F., Kyaw, K., & Treepongkaruna, S. (2019). Can Bitcoin be a diversifier, hedge or safe haven tool? Cogent Economics & Finance, 1593072.

Wang, J., Xue, Y., & Liu, M. (2016). An analysis of bitcoin price based on VEC model. In International Conference on Economics and Management Innovations 2016. Advances in computer science research (pp. 146–152). Atlantis Press.

Titel: Determinants of Bitcoin Price: Evidence from Asymmetrical Analysis
verfasst von: Anoop S. Kumar
Taufeeq Ajaz
Verlag: Springer Singapore
Buch: Studies in International Economics and Finance
Print ISBN: 978-981-16-7061-9

Electronic ISBN: 978-981-16-7062-6

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-981-16-7062-6_28