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A Study on the Nonlinearity in the Arbitrage Transactions of Cryptocurrency: Using the Bitcoin Prices in Several Countries

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The relative price of a cryptocurrency, denominated in different currencies implies a multilateral exchange rate. If the multilateral exchange rate differs from the bilateral one, then there exists an opportunity for arbitrage, and hence the multilateral and bilateral rate would not diverge much from each other. However, the pressure to return to the equilibrium is likely to depend on the level of the discrepancy, because cryptocurrency market is typically shallow and there are transaction costs for arbitrage. This study analyzes the nonlinearity in the convergence of the two exchange rates and finds that the two exchange rates are cointegrated and the cointegration relation is not linear.

Abstract

The relative price of a cryptocurrency, denominated in different currencies implies a multilateral exchange rate. If the multilateral exchange rate differs from the bilateral one, then there exists an opportunity for arbitrage, and hence the multilateral and bilateral rate would not diverge much from each other. However, the pressure to return to the equilibrium is likely to depend on the level of the discrepancy, because cryptocurrency market is typically shallow and there are transaction costs for arbitrage. This study analyzes the nonlinearity in the convergence of the two exchange rates and finds that the two exchange rates are cointegrated and the cointegration relation is not linear.

참고문헌 (22)

  1. Balke, N., "Threshold Cointegration", International Economic Review, 38(3), pp.627~645 (1997)
  2. Bergstra, J. A., "Bitcoin and Beyond: Exclusively Informational Monies", University of Amsterdam, arXiv, 1304.4758(2), ~ (2013)
  3. Digital Currencies, "BIS", Bank for International Settlements, ~ (2015)
  4. Böhme, R., "Bitcoin: Economics, Technology, and Governance", Journal of Economic Perspectives, 29(2), pp.213~238 (2015)
  5. Cheah, E.-T., "Speculative Bubbles in Bitcoin Markets? An Empirical Investigation into the Fundamental Value of Bitcoin", Economics Letters, 130, pp.32~36 (2015)
  6. Bitcoin Microstructure and the Kimchi Premium, "Choi, K. J.", University of Calgary, Haskayne School of Business, ~ (2018)
  7. Dickey, D. A., "Distribution of the Estimators for Autoregressive Time Series With a Unit Root", Journal of the American Statistical Association, 74(366), pp.427~431 (1979)
  8. Elliott, G., "Efficient Tests for an Autoregressive Unit Root", Econometrica, 64(4), pp.813~836 (1996)
  9. Garcia, D., "The Digital Traces of Bubbles:Feedback Cycles between Socio-Economic Signals in the Bitcoin Economy", The Journal of Royal Society Inference, 11(99), pp.1~8 (2014)
  10. Hansen, B. E., "Testing for Two-Regime Threshold Cointegration in Vector Error-Correction Models", Journal of Econometrics, 110(2), pp.293~318 (2002)
  11. Huhtinen, T.-P., "Bitcoin as a Monetary System: Examining Attention and Attendance", Master’s, pp.2014
  12. Monetary and Capital Markets, Legal, and Strategy and Policy Review Departments Virtual Currencies and Beyond: Initial Considerations, "IMF", ~, pp.IMF Staff Discussion Note, SDN (2016), 16[DOI]
  13. Koop, G, "Impulse response analysis in nonlinear multivariate models", Journal of Econometrics, 74, pp.119~147 (1996)
  14. Larsen, B., "A Threshold Cointegration Analysis of Norwegian Interest Rates", Master’s, pp.2012
  15. Popping the Bitcoin Bubble: An Application of Log-Periodic Power Law Modeling to Digital Currency, "MacDonell, A.", University of Notre Dame, ~ (2014)
  16. Meiklejohn, S., "A Fistful of Bitcoins: Characterizing Payments among Men with No Names", Proceedings of the 2013 ACM Internet Measurement Conference (IMC), pp.127~140 (2013), ACM
  17. Ng, S., "Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power", Econometrica, 69(6), pp.1519~1554 (2001)
  18. Phillips, P. C. B., "Testing for a Unit Root in Time Series Regression", Biometrika, 75(2), pp.335~346 (1988)
  19. Root, T. H., "Impulse Responses in a Threshold Cointegrated System: The Case of Natural Gas Markets", Applied Financial Economics, 13(1), pp.23~35 (2003)
  20. Smith, J. B. L., "Trends and Cycles in Financial Markets: Essays in Time Series Econometrics", Ph.D., pp.2016
  21. Tsay, R. S., "Testing and Modeling Multivariate Threshold Models", Journal of the American Statistical Association, 93(443), pp.1188~1202 (1998)
  22. Woo, D., "FX and Rates, Global" (2013), Bank of America, Merrill Lynch

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