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Sovereign bond yield and cryptocurrency returns within the frontier West African monetary zone: a dynamic contagion analysis

Author

Listed:
  • Akwasi Adom-Dankwa

    (Ghana Institute of Management and Public Administration (GIMPA))

  • Francis Atsu

    (Ghana Institute of Management and Public Administration (GIMPA))

  • Emmanuel Numapau Gyamfi

    (Ghana Institute of Management and Public Administration (GIMPA))

  • Godfred Amewu

    (University of Ghana)

  • Kenneth Ofori-Boateng

    (Ghana Institute of Management and Public Administration (GIMPA))

Abstract

This study employs wavelet analysis to examine the contagion between cryptocurrency returns and sovereign bond yields within the West African Monetary Zone (WAMZ) economies, capturing both the frequency-dependent nature of the relationship and time-varying behavior. We analyze daily data spanning 01/26/2021 to 10/07/2022, with a total observable value of 444. The study selected periods of uncertainty within financial markets, namely, the COVID-19 pandemic and the Russia–Ukraine war because there was a need to understand how securities react during such times to help investors plan accordingly. Our results show a negative correlation between sovereign bond yields and cryptocurrency returns, suggesting that investors can use these asset classes as hedge agents, diversifiers, and safe-haven instruments. These findings provide valuable insights for investors and policymakers, shedding light on the potential interdependencies and diversification benefits between these two asset classes.

Suggested Citation

  • Akwasi Adom-Dankwa & Francis Atsu & Emmanuel Numapau Gyamfi & Godfred Amewu & Kenneth Ofori-Boateng, 2025. "Sovereign bond yield and cryptocurrency returns within the frontier West African monetary zone: a dynamic contagion analysis," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04599-0
    DOI: 10.1057/s41599-025-04599-0
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    as
    1. Mensah, Jones Odei & Alagidede, Paul, 2017. "How are Africa's emerging stock markets related to advanced markets? Evidence from copulas," Economic Modelling, Elsevier, vol. 60(C), pages 1-10.
    2. Shen, Yifan, 2018. "International risk transmission of stock market movements," Economic Modelling, Elsevier, vol. 69(C), pages 220-236.
    3. Selmi, Refk & Mensi, Walid & Hammoudeh, Shawkat & Bouoiyour, Jamal, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Energy Economics, Elsevier, vol. 74(C), pages 787-801.
    4. Satish Kumar & Rajesh Pathak & Aviral Kumar Tiwari & Seong-Min Yoon, 2017. "Are exchange rates interdependent? Evidence using wavelet analysis," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3231-3245, July.
    5. Dungey, Mardi & Gajurel, Dinesh, 2014. "Equity market contagion during the global financial crisis: Evidence from the world's eight largest economies," Economic Systems, Elsevier, vol. 38(2), pages 161-177.
    6. Bouri, Elie & Vo, Xuan Vinh & Saeed, Tareq, 2021. "Return equicorrelation in the cryptocurrency market: Analysis and determinants," Finance Research Letters, Elsevier, vol. 38(C).
    7. Al Nasser, Omar M. & Hajilee, Massomeh, 2016. "Integration of emerging stock markets with global stock markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 1-12.
    8. Boateng, Ebenezer & Asafo-Adjei, Emmanuel & Addison, Alex & Quaicoe, Serebour & Yusuf, Mawusi Ayisat & Abeka, Mac Junior & Adam, Anokye M., 2022. "Interconnectedness among commodities, the real sector of Ghana and external shocks," Resources Policy, Elsevier, vol. 75(C).
    9. Dirk G. Baur & Thomas Dimpfl, 2019. "Price discovery in bitcoin spot or futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 803-817, July.
    10. Renée Fry-McKibbin & Cody Hsiao & Chrismin Tang, 2014. "Contagion and Global Financial Crises: Lessons from Nine Crisis Episodes," Open Economies Review, Springer, vol. 25(3), pages 521-570, July.
    11. Gurdgiev, Constantin & O’Loughlin, Daniel, 2020. "Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    12. Peterson Owusu Junior & Baidoo Kwaku Boafo & Bright Kwesi Awuye & Kwame Bonsu & Henry Obeng-Tawiah, 2018. "Co-movement of stock exchange indices and exchange rates in Ghana: A wavelet coherence analysis," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1481559-148, January.
    13. Paul R. Dewick & Shuangzhe Liu, 2022. "Copula Modelling to Analyse Financial Data," JRFM, MDPI, vol. 15(3), pages 1-11, February.
    14. Wang, Gang-Jin & Xie, Chi & Lin, Min & Stanley, H. Eugene, 2017. "Stock market contagion during the global financial crisis: A multiscale approach," Finance Research Letters, Elsevier, vol. 22(C), pages 163-168.
    15. Nusair, Salah A. & Olson, Dennis, 2021. "Asymmetric oil price and Asian economies: A nonlinear ARDL approach," Energy, Elsevier, vol. 219(C).
    16. 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.
    17. Matthew Zook & Michael H Grote, 2017. "The microgeographies of global finance: High-frequency trading and the construction of information inequality," Environment and Planning A, , vol. 49(1), pages 121-140, January.
    18. Dewandaru, Ginanjar & Masih, Rumi & Masih, Mansur, 2017. "Regional spillovers across transitioning emerging and frontier equity markets: A multi-time scale wavelet analysis," Economic Modelling, Elsevier, vol. 65(C), pages 30-40.
    19. Tran, Vu Le & Leirvik, Thomas, 2020. "Efficiency in the markets of crypto-currencies," Finance Research Letters, Elsevier, vol. 35(C).
    20. Boubaker, Heni & Raza, Syed Ali, 2017. "A wavelet analysis of mean and volatility spillovers between oil and BRICS stock markets," Energy Economics, Elsevier, vol. 64(C), pages 105-117.
    21. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    22. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    23. Fry-McKibbin, Renée & Hsiao, Cody Yu-Ling & Martin, Vance L., 2018. "Global and regional financial integration in East Asia and the ASEAN," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 202-221.
    24. Handika, Rangga & Soepriyanto, Gatot & Havidz, Shinta Amalina Hazrati, 2019. "Are cryptocurrencies contagious to Asian financial markets?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 416-429.
    25. Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2015. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis Versus Wavelet Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 575-611, December.
    26. 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.
    27. Muller, Ulrich A. & Dacorogna, Michel M. & Dave, Rakhal D. & Olsen, Richard B. & Pictet, Olivier V. & von Weizsacker, Jacob E., 1997. "Volatilities of different time resolutions -- Analyzing the dynamics of market components," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 213-239, June.
    28. Peterson Owusu Junior & Anokye M. Adam & George Tweneboah, 2017. "Co-movement of real exchange rates in the West African Monetary Zone," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1351807-135, January.
    29. Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Kang, Sang Hoon, 2019. "Time-varying dynamic conditional correlation between stock and cryptocurrency markets using the copula-ADCC-EGARCH model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    30. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    31. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    32. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    33. C. Alexander & M. Dakos, 2020. "A critical investigation of cryptocurrency data and analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 173-188, February.
    34. Mohammed Armah & Godfred Amewu & Ahmed Bossman, 2022. "Time-frequency analysis of financial stress and global commodities prices: Insights from wavelet-based approaches," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2114161-211, December.
    35. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    36. Christos Alexakis & Vasileios Pappas, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Post-Print hal-01992102, HAL.
    37. Charupat, Narat & Miu, Peter, 2011. "The pricing and performance of leveraged exchange-traded funds," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 966-977, April.
    38. Sasha Stoikov, 2018. "The micro-price: a high-frequency estimator of future prices," Quantitative Finance, Taylor & Francis Journals, vol. 18(12), pages 1959-1966, December.
    39. Abate,Girum Dagnachew & Serven,Luis, 2018. "Assessing the international comovement of equity returns," Policy Research Working Paper Series 8516, The World Bank.
    40. Mollah, Sabur & Quoreshi, A.M.M. Shahiduzzaman & Zafirov, Goran, 2016. "Equity market contagion during global financial and Eurozone crises: Evidence from a dynamic correlation analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 151-167.
    41. Siaw Frimpong & Emmanuel N. Gyamfi & Zangina Ishaq & Samuel Kwaku Agyei & Daniel Agyapong & Anokye M. Adam & François Pérés, 2021. "Can Global Economic Policy Uncertainty Drive the Interdependence of Agricultural Commodity Prices? Evidence from Partial Wavelet Coherence Analysis," Complexity, Hindawi, vol. 2021, pages 1-13, June.
    42. Tsang, Andrew & Yiu, Matthew S. & Nguyen, Huy Toan, 2021. "Spillover across sovereign bond markets between the US and ASEAN4 economies," Journal of Asian Economics, Elsevier, vol. 76(C).
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