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Return and volatility spillovers among cryptocurrencies


  • Koutmos, Dimitrios


This paper measures interdependencies among 18 major cryptocurrencies and shows that (i) Bitcoin is the dominant contributor of return and volatility spillovers among all the sampled cryptocurrencies; (ii) return and volatility spillovers have risen steadily over time; (iii) there are ’spikes’ in spillovers during major news events regarding cryptocurrencies. These findings suggest growing interdependence among cryptocurrencies and, by extension, a higher degree of contagion risk. It may be the case that cryptocurrencies are becoming more integrated, albeit this makes for interesting future empirical testing. In addition, the time-varying nature of spillovers reveals a certain dimension of uncertainty regarding the future of these digital currencies.

Suggested Citation

  • Koutmos, Dimitrios, 2018. "Return and volatility spillovers among cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 122-127.
  • Handle: RePEc:eee:ecolet:v:173:y:2018:i:c:p:122-127
    DOI: 10.1016/j.econlet.2018.10.004

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    References listed on IDEAS

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    Cited by:

    1. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
    2. Yaya, OlaOluwa S. & Ogbonna, Ahamuefula E. & Olubusoye, Olusanya E., 2019. "How persistent and dynamic inter-dependent are pricing of Bitcoin to other cryptocurrencies before and after 2017/18 crash?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    3. Matkovskyy, Roman & Jalan, Akanksha, 2019. "From financial markets to Bitcoin markets: A fresh look at the contagion effect," Finance Research Letters, Elsevier, vol. 31(C), pages 93-97.
    4. Nguyen, Thai Vu Hong & Nguyen, Binh Thanh & Nguyen, Kien Son & Pham, Huy, 2019. "Asymmetric monetary policy effects on cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 48(C), pages 335-339.
    5. Katsiampa, Paraskevi & Corbet, Shaen & Lucey, Brian, 2019. "High frequency volatility co-movements in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 35-52.
    6. Aurelio F. Bariviera & Ignasi Merediz-Sol`a, 2020. "Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis," Papers 2003.09723,
    7. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    8. Khanh Hoang & Cuong C. Nguyen & Kongchheng Poch & Thang X. Nguyen, 2020. "Does Bitcoin Hedge Commodity Uncertainty?," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 13(6), pages 1-14, June.
    9. Nikolaos A. Kyriazis, 2019. "A Survey on Empirical Findings about Spillovers in Cryptocurrency Markets," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(4), pages 1-17, November.
    10. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    11. Zięba, Damian & Kokoszczyński, Ryszard & Śledziewska, Katarzyna, 2019. "Shock transmission in the cryptocurrency market. Is Bitcoin the most influential?," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 102-125.
    12. Thomas Günter Fischer & Christopher Krauss & Alexander Deinert, 2019. "Statistical Arbitrage in Cryptocurrency Markets," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(1), pages 1-15, February.
    13. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber Attacks, Spillovers and Contagion in the Cryptocurrency Markets," CESifo Working Paper Series 8324, CESifo.
    14. Paolo Giudici & Paolo Pagnottoni, 2019. "High Frequency Price Change Spillovers in Bitcoin Markets," Risks, MDPI, Open Access Journal, vol. 7(4), pages 1-18, November.
    15. Elie Bouri & David Gabauer & Rangan Gupta & Aviral Kumar Tiwari, 2020. "Volatility Connectedness of Major Cryptocurrencies: The Role of Investor Happiness," Working Papers 202059, University of Pretoria, Department of Economics.
    16. Lee Alan Smales, 2020. "One Cryptocurrency to Explain Them All? Understanding the Importance of Bitcoin in Cryptocurrency Returns," Economic Papers, The Economic Society of Australia, vol. 39(2), pages 118-132, June.

    More about this item


    Bitcoin; Cryptocurrencies; Spillovers; Variance decompositions; Vector autoregression;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation


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