Abstract
The objective of this study is to assess interest rate behaviour of bitcoin as a digital asset in relation to market rates. The implied bitcoin interest rate is quantified through the assumptions of uncovered interest parity theory, and implied bitcoin exchange rate determined from the triangular of USD/BTC, and EUR/BTC. The Vector Autoregressive model is regressed on implied bitcoin interest rate along with four maturity classes of LIBOR interest rates for US and Euro markets respectively. The results show that there is a uni–directional impact with bitcoin interest rate responding to shocks from market rates, while shocks emanating from bitcoin to market rates are non-existent, or not statistically significant. The findings of this study have potential value towards monetary policy and capital market investors.
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Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System (2008). https://bitcoin.org/bitcoin.pdf
Lansky: Possible state approaches to cryptocurrencies. J. Syst. Integr. 9(1), 19–31 (2018). https://doi.org/10.20470/jsi.v9i1.335
Chaum, D.: Blind signatures for untraceable payments. In: Chaum, D., Rivest, R.L., Sherman, A.T. (eds.) Advances in Cryptology, pp. 199–203. Springer, Boston, MA (1983). https://doi.org/10.1007/978-1-4757-0602-4_18
Haber, S., Stornetta, W.S.: Secure names for bitstrings. In: Proceedings of the 4th ACM Conference on Computer and Communication Security (1997). https://doi.org/10.1145/266420.266430
Wolfson, S.N.: Bitcoin: the early market. J. Bus. Econ. Res. 13(4), 201–214 (2015). https://doi.org/10.19030/jber.v13i4.9452
Zhou, S.: Exploring the driving forces of the bitcoin exchange rate dynamics: an EGARCH Approach. MPRA Working Paper, No. 89445 (2018). https://doi.org/10.1007/s40822-018-0108-2
Corbet, S., Meegan, A., Larkin, C., Lucey, B., Yarovaya, L.: Exploring the dynamic relationships between cryptocurrencies and other financial assets. Econ. Lett. 165, 28–34 (2018). https://doi.org/10.1016/j.econlet.2018.01.004
Hencic, A., Gouriéroux, C.: Noncausal autoregressive model in application to bitcoin/USD exchange rates. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S., Suriya, K. (eds.) Econometrics of Risk. SCI, vol. 583, pp. 17–40. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-13449-9_2
Briere, M., Oosterlinck, K., Szafarz, A.: Virtual currency, tangible return: portfolio diversification with Bitcoins. J. Asset Manag. 16, 365–373 (2015). https://doi.org/10.1057/jam.2015.5
Dyhrberg, A.H.: Bitcoin, gold and the dollar–a GARCH volatility analysis. Finan. Res. Lett. 16, 85–92 (2016). https://doi.org/10.1016/j.frl.2015.10.008
Smith, J.: An analysis of bitcoin exchange rates. SSRN Working Paper, No. 2493797, May (2016). https://doi.org/10.2139/ssrn.2493797
Ankenbrand, T., Bieri, D.: Assessment of cryptocurrencies as an asset class by their characteristics. Invest. Manag. Finan. Innov. 15, 169–181 (2018). https://doi.org/10.21511/imfi.15(3).2018.14
Katsiampa, P.: Volatility estimation for bitcoin: a comparison of GARCH models. Econ. Lett. 158, 3–6 (2017). https://doi.org/10.1016/j.econlet.2017.06.023
Koutmos, D.: Bitcoin returns and transaction activity. Econ. Lett. 167, 81–85 (2018). https://doi.org/10.1016/j.econlet.2018.03.021
Froot, K.A., Thaler, R.H.: Anomalies: foreign exchange. J. Econ. Perspect. 4, 179–192 (1990). https://doi.org/10.1257/jep.4.3.179
Engel, C.: The forward discount anomaly and the risk premium: a survey of recent evidence. J. Empirical Finan. 3, 123–192 (1996). https://doi.org/10.3386/w5312
Chinn, M.: The (partial) rehabilitation of interest rate parity in floating rate era: longer horizons, alternative expectations and emerging markets. J. Int. Money Finan. 25, 7–21 (2006). https://doi.org/10.1016/j.jimonfin.2005.10.003
Lothian, J.R.: Uncovered interest parity: the long and the short of it. J. Empirical Finan. 36, 1–7 (2016). https://doi.org/10.1016/j.jempfin.2015.12.001
Brito, J., Castillo, A.: Bitcoin: A primer for policymakers. Mercatus Center, George Mason University (2013)
Bank of International Settlement: Digital currencies. Committee on Payments and Market Infrastructures. BIS, November 2015
Claeys, G., Demertzis, M., Efstathiou, K.: Cryptocurrencies and monetary policy. Monetary Dialogue, European Parliament, July 2018. https://doi.org/10.2861/963879
Liu, Y., Tsyvinski, A.: Risks and returns of cryptocurrency. NBER Working Paper, No. 24877, August 2018
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Gopane, T.J. (2019). The Interest Rate Behaviour of Bitcoin as a Digital Asset. In: Jallouli, R., Bach Tobji, M., Bélisle, D., Mellouli, S., Abdallah, F., Osman, I. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2019. Lecture Notes in Business Information Processing, vol 358. Springer, Cham. https://doi.org/10.1007/978-3-030-30874-2_5
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