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Effect of bifurcation on the interaction between Bitcoin and Litecoin

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  • Tu, Zhiyong
  • Xue, Changyong

Abstract

This paper studied the effect of the bifurcation of Bitcoin on its interactions with its substitute, Litecoin. We applied the Granger causality test and a BEKK-MGARCH model to investigate the return and volatility spillovers between Bitcoin and Litecoin during the period 2013–2018. We divided this period by the date of August 1, 2017, on which Bitcoin underwent its initial bifurcation. In general, our empirical results show that return and volatility spillovers run in one direction only, i.e., from Bitcoin to Litecoin, before the bifurcation, with the direction of shock transmission being reversed after the bifurcation. We conclude that bifurcation has markedly weakened the market position and pricing influence of Bitcoin within cryptocurrency markets. Since bifurcation is convenient for nearly any cryptocurrency, it will likely continue to pose a risk to the cryptocurrency market as a whole.

Suggested Citation

  • Tu, Zhiyong & Xue, Changyong, 2019. "Effect of bifurcation on the interaction between Bitcoin and Litecoin," Finance Research Letters, Elsevier, vol. 31(C).
  • Handle: RePEc:eee:finlet:v:31:y:2019:i:c:s1544612318306275
    DOI: 10.1016/j.frl.2018.12.010
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    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    2. Rasmus S. Pedersen & Anders Rahbek, 2014. "Multivariate variance targeting in the BEKK–GARCH model," Econometrics Journal, Royal Economic Society, vol. 17(1), pages 24-55, February.
    3. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
    4. Ciaian, Pavel & Rajcaniova, Miroslava & Kancs, d'Artis, 2018. "Virtual relationships: Short- and long-run evidence from BitCoin and altcoin markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 173-195.
    5. Sensoy, Ahmet, 2013. "Dynamic relationship between precious metals," Resources Policy, Elsevier, vol. 38(4), pages 504-511.
    6. Nadarajah, Saralees & Chu, Jeffrey, 2017. "On the inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 150(C), pages 6-9.
    7. Dutta, Anupam, 2018. "A note on the implied volatility spillovers between gold and silver markets," Resources Policy, Elsevier, vol. 55(C), pages 192-195.
    8. Qian Chen & Xin Weng, 2018. "Information Flows Between the US and China’s Agricultural Commodity Futures Markets—Based on VAR–BEKK–Skew-t Model," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(1), pages 71-87, January.
    9. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    10. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    11. Dyhrberg, Anne Haubo, 2016. "Bitcoin, gold and the dollar – A GARCH volatility analysis," Finance Research Letters, Elsevier, vol. 16(C), pages 85-92.
    12. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    13. Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
    14. Dean, Warren G. & Faff, Robert W. & Loudon, Geoffrey F., 2010. "Asymmetry in return and volatility spillover between equity and bond markets in Australia," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 272-289, June.
    15. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
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    7. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
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    More about this item

    Keywords

    Cryptocurrency; Bitcoin; bifurcation; Litecoin; Spillover;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • G1 - Financial Economics - - General Financial Markets

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