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Time-varying return correlations and spillovers between bitcoin and traditional assets: the impact of COVID-19 and US monetary policy

Author

Listed:
  • Licheng Zhang

    (Sun Yat-Sen University)

  • Shengtao Luo

    (Guangdong University of Finance and Economics)

Abstract

Bitcoin, the leading cryptocurrency by value, has witnessed remarkable growth, becoming a popular investment that significantly impacts financial markets. However, its relationship with traditional assets, which is constantly evolving, remains poorly understood. Therefore, this study investigates the time-varying return correlations and spillover effects between Bitcoin and traditional asset classes, highlighting the influences of the COVID-19 pandemic and US monetary policy on these relationships. We find that their connection has increased substantially since the COVID-19 pandemic in March 2020. Moreover, we demonstrate that US monetary policy plays a crucial role in driving this dynamic relationship. Bitcoin moves in tandem with traditional assets and exhibits negative responses during contractionary monetary policy periods after COVID-19. Our findings are beneficial for investors making asset allocation decisions and policymakers formulating regulations. The strengthening link between Bitcoin and traditional assets diminishes its diversification benefits and poses potential threats to financial stability.

Suggested Citation

  • Licheng Zhang & Shengtao Luo, 2025. "Time-varying return correlations and spillovers between bitcoin and traditional assets: the impact of COVID-19 and US monetary policy," Economic Change and Restructuring, Springer, vol. 58(3), pages 1-28, June.
  • Handle: RePEc:kap:ecopln:v:58:y:2025:i:3:d:10.1007_s10644-025-09876-1
    DOI: 10.1007/s10644-025-09876-1
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    1. Symitsi, Efthymia & Chalvatzis, Konstantinos J., 2019. "The economic value of Bitcoin: A portfolio analysis of currencies, gold, oil and stocks," Research in International Business and Finance, Elsevier, vol. 48(C), pages 97-110.
    2. Degasperi,Riccardo & Hong, Seokki Simon & Ricco, Giovanni, 2020. "The Global Transmission of U.S. Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1257, University of Warwick, Department of Economics.
    3. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    4. Eric T. Swanson & John C. Williams, 2014. "Measuring the Effect of the Zero Lower Bound on Medium- and Longer-Term Interest Rates," American Economic Review, American Economic Association, vol. 104(10), pages 3154-3185, October.
    5. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    6. Creti, Anna & Joëts, Marc & Mignon, Valérie, 2013. "On the links between stock and commodity markets' volatility," Energy Economics, Elsevier, vol. 37(C), pages 16-28.
    7. Ms. Natasha X Che & Alexander Copestake & Davide Furceri & Tammaro Terracciano, 2023. "The Crypto Cycle and US Monetary Policy," IMF Working Papers 2023/163, International Monetary Fund.
    8. repec:dau:papers:123456789/14980 is not listed on IDEAS
    9. Karau, Sören, 2023. "Monetary policy and Bitcoin," Journal of International Money and Finance, Elsevier, vol. 137(C).
    10. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    11. Charfeddine, Lanouar & Benlagha, Noureddine & Maouchi, Youcef, 2020. "Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors," Economic Modelling, Elsevier, vol. 85(C), pages 198-217.
    12. Albrizio, Silvia & Choi, Sangyup & Furceri, Davide & Yoon, Chansik, 2020. "International bank lending channel of monetary policy," Journal of International Money and Finance, Elsevier, vol. 102(C).
    13. Lieven Baele, 2010. "The Determinants of Stock and Bond Return Comovements," The Review of Financial Studies, Society for Financial Studies, vol. 23(6), pages 2374-2428, June.
    14. Seo, Myung Hwan & Koo, Bonsoo & Yang, Yangzhuoran Fin, 2024. "Nonlinear dynamics of Kimchi premium," Economic Modelling, Elsevier, vol. 135(C).
    15. Mark Gertler & Peter Karadi, 2015. "Monetary Policy Surprises, Credit Costs, and Economic Activity," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 44-76, January.
    16. Ozdamar, Melisa & Sensoy, Ahmet & Akdeniz, Levent, 2022. "Retail vs institutional investor attention in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    17. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    18. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    19. Kumar, Ashish & Iqbal, Najaf & Mitra, Subrata Kumar & Kristoufek, Ladislav & Bouri, Elie, 2022. "Connectedness among major cryptocurrencies in standard times and during the COVID-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    20. Hanson, Samuel G. & Stein, Jeremy C., 2015. "Monetary policy and long-term real rates," Journal of Financial Economics, Elsevier, vol. 115(3), pages 429-448.
    21. Zihui Yang & Yinggang Zhou, 2017. "Quantitative Easing and Volatility Spillovers Across Countries and Asset Classes," Management Science, INFORMS, vol. 63(2), pages 333-354, February.
    22. Gabauer, David & Gupta, Rangan, 2018. "On the transmission mechanism of country-specific and international economic uncertainty spillovers: Evidence from a TVP-VAR connectedness decomposition approach," Economics Letters, Elsevier, vol. 171(C), pages 63-71.
    23. George Milunovich, 2018. "Cryptocurrencies, Mainstream Asset Classes and Risk Factors: A Study of Connectedness," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 51(4), pages 551-563, December.
    24. repec:rza:wpaper:814 is not listed on IDEAS
    25. Corbet, Shaen & Larkin, Charles & Lucey, Brian & Meegan, Andrew & Yarovaya, Larisa, 2020. "Cryptocurrency reaction to FOMC Announcements: Evidence of heterogeneity based on blockchain stack position," Journal of Financial Stability, Elsevier, vol. 46(C).
    26. Hamed Ghiaie, 2024. "Housing, the credit market, and unconventional monetary policies: from the sovereign crisis to the great lockdown," Oxford Economic Papers, Oxford University Press, vol. 76(2), pages 330-350.
    27. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    28. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
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    More about this item

    Keywords

    Bitcoin; COVID-19; Spillover effects; TVP-VAR; DY generalized variance decomposition;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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