Skip to main content
Log in

Exploring the Dynamics of Equity and Cryptocurrency Markets: Fresh Evidence from the Russia–Ukraine War

  • Published:
Computational Economics Aims and scope Submit manuscript

Abstract

This study investigates the dynamic connectedness between equity and cryptocurrency markets using the Granger Causality Network and the Wavelet Coherence approaches. Using time series data from July 2021 to January 2023, results indicate that the causality effect increased significantly after the outbreak of geopolitical conflict. Cryptocurrency markets are highly influenced and mutually more connected with equity markets after February 2022. Results also indicate that the causality is more important in European countries and steadily increased as the war progressed. Nevertheless, there is no distinct indication of contagion in China's market. Of greater interest, it is revealed that cryptocurrencies do not offer a "safe haven" advantage during the war, especially in North America and GCC countries. Cryptocurrency-equity markets are fully integrated and moved together for at least 5 months after the beginning of the war. Overall, this paper provides early insight into the use of cryptocurrencies by investors and reveals how equity and cryptocurrency markets co-move within countries. These results are further supported by an alternative Structural Vector Autoregression model. This study provides useful insights to investors, regulators, and policy-makers regarding portfolio management, hedging, and financial market stability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Abbreviations

DeFi:

Decentralized financial assets

NFT:

Non-fungible tokens

SCI:

Systemic contagion index

WCA:

Wavelet coherence analysis

GCC:

Gulf cooperation council

VIX:

Volatility index

ICO:

Initial coin offerings

WC:

Wavelet coherence

References

  • Adebayo, T.S., Ağa, M. and Kartal, M.T. (2023) Analyzing the comovement between CO2 emissions and disaggregated nonrenewable and renewable energy consumption in BRICS: evidence through the lens of wavelet coherence. Environmental Science and Pollution Research, 30(13), pp. 38921–38938. https://doi.org/10.1007/s11356-022-24707-w.

  • Akhtaruzzaman, M. et al. (2022) Systemic risk-sharing framework of cryptocurrencies in the COVID–19 crisis. Finance Research Letters, 47(PB), p. 102787. https://doi.org/10.1016/j.frl.2022.102787.

  • Anwer, Z. et al. (2022) Asymmetric connectedness across Asia-Pacific currencies: Evidence from time-frequency domain analysis. Finance Research Letters, 47, p. 102782. https://doi.org/10.1016/j.frl.2022.102782.

  • Bariviera, A. F., Basgall, M. J., Hasperué, W., & Naiouf, M. (2017). Some stylized facts of the Bitcoin market. Physica A: Statistical Mechanics and its Applications, 484, 82–90.

  • Batten, J. A., et al. (2022). Volatility impacts on the European banking sector: GFC and COVID-19. Annals of Operations Research [preprint]. https://doi.org/10.1007/s10479-022-04523-8

    Article  PubMed  Google Scholar 

  • Baur, D.G. and Hoang, L.T. (2021) A crypto safe haven against Bitcoin. Finance Research Letters, 38(November 2019), p. 101431. https://doi.org/10.1016/j.frl.2020.101431.

  • Bouri, E. et al. (2017) On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?. Finance Research Letters, 20, pp. 192–198. https://doi.org/10.1016/j.frl.2016.09.025.

  • Bouri, E. et al. (2018) Spillovers between Bitcoin and other assets during bear and bull markets. Applied Economics, 50(55), pp. 5935–5949. https://doi.org/10.1080/00036846.2018.1488075.

  • Bouri, E. et al. (2020) Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. Quarterly Review of Economics and Finance, 77, pp. 156–164. https://doi.org/10.1016/j.qref.2020.03.004.

  • Bouri, E., Lucey, B. & Roubaud, D. (2020) Cryptocurrencies and the downside risk in equity investments. Finance Research Letters, 33(June), pp. 1–14. https://doi.org/10.1016/j.frl.2019.06.009.

  • Cheah, E.-T. & Fry, J. (2015) Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin. Econom [Preprint].

  • Colon, F. et al. (2021) The effect of political and economic uncertainty on the cryptocurrency market. Finance Research Letters, 39(February), p. 101621. https://doi.org/10.1016/j.frl.2020.101621.

  • Conlon, T., Corbet, S., & McGee, R. (2020). Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic. Research in International Business and Finance, 54, 101248. https://doi.org/10.1016/j.ribaf.2020.101248.

  • Corbet, S., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies. Finance Research Letters, 35, 101554. https://doi.org/10.1016/j.frl.2020.101554.

  • Corbet, S., Lucey, B. & Yarovaya, L. (2021) Bitcoin-energy markets interrelationships—New evidence. Resources Policy, 70. https://doi.org/10.1016/j.resourpol.2020.101916

  • Dyhrberg, A.H. (2016) Bitcoin, gold and the dollar—A GARCH volatility analysis. Finance Research Letters, 16, pp. 85–92. https://doi.org/10.1016/J.FRL.2015.10.008.

  • Erdogan, S., Ahmed, M.Y. & Sarkodie, S.A. (2022) Analyzing asymmetric effects of cryptocurrency demand on environmental sustainability. Environmental Science and Pollution Research, 29(21), pp. 31723–31733. https://doi.org/10.1007/s11356-021-17998-y.

  • Erdoğan, S., Gedikli, A., Çevik, E. İ., Erdoğan, F., & Çevik, E. (2022). Precious metals as safe-haven for clean energy stock investment: Evidence from nonparametric Granger causality in distribution test. Resources Policy, 79, 102945.

  • Goodell, J.W. and Goutte, S. (2021a) Comovement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis. Finance Research Letters, 38(May 2020), p. 101625. https://doi.org/10.1016/j.frl.2020.101625.

  • Goodell, J.W. and Goutte, S. (2021b) Diversifying equity with cryptocurrencies during COVID-19. International Review of Financial Analysis, 76(February), p. 101781. https://doi.org/10.1016/j.irfa.2021.101781.

  • Goodell, J.W. and Goutte, S. (2021c) Diversifying equity with cryptocurrencies during COVID-19. International Review of Financial Analysis, 76(February), p. 101781. https://doi.org/10.1016/j.irfa.2021.101781.

  • Grinsted, A., Moore, J.C. and Jevrejeva, S. (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11(5/6), pp. 561–566. https://doi.org/10.5194/npg-11-561-2004.

  • Habibi, H. and Mohammadi, H. (2022) Return and volatility spillovers across the Western and MENA countries. North American Journal of Economics and Finance, 60(January), p. 101642. https://doi.org/10.1016/j.najef.2022.101642.

  • Hsu, S.-H. (2022) Investigating the co-volatility spillover effects between cryptocurrencies and currencies at different natures of risk events. Journal of Risk and Financial Management, 15(9), p. 372. https://doi.org/10.3390/jrfm15090372.

  • Ji, Q. et al. (2019) Information interdependence among energy, cryptocurrency and major commodity markets. Energy Economics, 81(December 2013), pp. 1042–1055. https://doi.org/10.1016/j.eneco.2019.06.005.

  • Karim, S. et al. (2022) Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies. Finance Research Letters, 47(PB), p. 102696. https://doi.org/10.1016/j.frl.2022.102696.

  • Kartal, M.T., Ali, U. and Nurgazina, Z. (2022) Asymmetric effect of electricity consumption on CO2 emissions in the USA: analysis of end-user electricity consumption by nonlinear quantile approaches. Environmental Science and Pollution Research, 29(55), pp. 83824–83838. https://doi.org/10.1007/s11356-022-21715-8.

  • Kartal, M. T., & Depren, Ö. (2023). Asymmetric relationship between global and national factors and domestic food prices: Evidence from Turkey with novel nonlinear approaches. Financial Innovation, 9(1). https://doi.org/10.1186/s40854-022-00407-9

  • Kartal, M. T., Kevser, M., & Ayhan, F. (2023). Asymmetric effects of global factors on return of cryptocurrencies by novel nonlinear quantile approaches. Economic Change and Restructuring, 56(3), 1515–1535. https://doi.org/10.1007/s10644-023-09484-x.

  • Kartal, M. T., Kılıç Depren, S., Ayhan, F., & Depren, Ö. (2022). Impact of renewable and fossil fuel energy consumption on environmental degradation: evidence from USA by nonlinear approaches. International Journal of Sustainable Development & World Ecology, 29(8), 738–755. https://doi.org/10.1080/13504509.2022.2087115.

  • Khalfaoui, R., Gozgor, G., & Goodell, J.W. (2022). Impact of Russia–Ukraine war attention on cryptocurrency: Evidence from quantile dependence analysis. Finance Research Letters, 52, 103365. https://doi.org/10.1016/J.FRL.2022.103365.

    Article  Google Scholar 

  • Kinateder, H. and Choudhury, T. (2022) Guest editorial: Cryptocurrencies: current trends and future perspectives. Studies in Economics and Finance, 39(3), pp. 345–346. https://doi.org/10.1108/SEF-06-2022-522.

  • Kurka, J. (2019) Do cryptocurrencies and traditional asset classes influence each other?. Finance Research Letters, 31(March), pp. 38–46. https://doi.org/10.1016/j.frl.2019.04.018.

  • Marmora, P. (2021) Currency substitution in the shadow economy: International panel evidence using local Bitcoin trade volume. Economics Letters, 205, p. 109926. https://doi.org/10.1016/J.ECONLET.2021.109926.

  • Naeem, M.A. and Karim, S. (2021) Tail dependence between bitcoin and green financial assets. Economics Letters, 208, p. 110068. https://doi.org/10.1016/j.econlet.2021.110068.

  • Naeem, M. A., Karim, S., & Tiwari, A. K. (2022). Risk connectedness between green and conventional assets with portfolio implications. Computational Economics [preprint]. https://doi.org/10.1007/s10614-022-10296-w

    Article  PubMed  Google Scholar 

  • Nguyen, T.T.H. et al. (2021) Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40(April), p. 101739. https://doi.org/10.1016/j.frl.2020.101739.

  • Özdemir, O. (2022). Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: Evidence from DCC-GARCH and wavelet analysis. Financial Innovation. https://doi.org/10.1186/s40854-021-00319-0

    Article  PubMed  PubMed Central  Google Scholar 

  • Pata, U. K., Kartal, M. T., Erdogan, S., & Sarkodie, S. A. (2023). The role of renewable and nuclear energy R&D expenditures and income on environmental quality in Germany: Scrutinizing the EKC and LCC hypotheses with smooth structural changes. Applied Energy, 342, 121138.

  • Pata, U.K., Kartal, M.T. and Zafar, M.W. (2023) Environmental reverberations of geopolitical risk and economic policy uncertainty resulting from the Russia–Ukraine conflict: A wavelet based approach for sectoral CO2 emissions. Environmental Research, 231, p. 116034. https://doi.org/10.1016/j.envres.2023.116034.

  • Pham, L. et al. (2022) A tale of two tails among carbon prices, green and non-green cryptocurrencies. International Review of Financial Analysis, 82, p. 102139. https://doi.org/10.1016/J.IRFA.2022.102139.

  • Rua, A. and Nunes, L. C. (2009) International comovement of stock market returns : a wavelet Analysis. Journal of Corporate Finance, 11(71).

  • Rubbaniy, G., Khalid, A.A. and Samitas, A. (2021) Are Cryptos Safe-Haven Assets during Covid-19? Evidence from Wavelet Coherence Analysis. Emerging Markets Finance and Trade, 57(6), pp. 1741–1756. https://doi.org/10.1080/1540496X.2021.1897004.

  • Rubbaniy, G., Polyzos, S., Rizvi, S. K. A., & Tessema, A. (2021). COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index. Economics Letters, 207, 110017.

  • Szczepanska-Przekota, A. (2021) Cryptocurrency versus other financial instruments: how a small market affects a large market. JOURNAL OF INVESTMENT STRATEGIES, 10(2), pp. 43–63. https://doi.org/10.21314/JOIS.2021.011.

  • Torrence, C. and Compo, G.P. (1998) A Practical Guide to Wavelet Analysis. Bulletin of the American Meteorological Society, 79, pp. 61–78. https://doi.org/10.4324/9780429311369-6.

  • Tosun, O.K. and Eshraghi, A. (2022) Corporate decisions in times of war: Evidence from the Russia–Ukraine conflict. Finance Research Letters, 48(March), p. 102920. https://doi.org/10.1016/j.frl.2022.102920.

  • Umar, M., Riaz, Y., & Yousaf, I. (2022). Impact of Russian–Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach. Resources Policy, 79, 102966. https://doi.org/10.1016/J.RESOURPOL.2022.102966.

  • Umar, Z., Trabelsi, N., & Alqahtani, F. (2021). Connectedness between cryptocurrency and technology sectors: International evidence. International Review of Economics and Finance, 71, 910–922. https://doi.org/10.1016/j.iref.2020.10.021.

  • Wang, H. et al. (2022). The asymmetric contagion effect between stock market and cryptocurrency market. Finance Research Letters, 46(July), p. 102345. https://doi.org/10.1016/j.frl.2021.102345.

  • Wang, Y. et al. (2022). Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine. Finance Research Letters, 49, p. 103066. https://doi.org/10.1016/J.FRL.2022.103066.

  • Yousaf, I., Nekhili, R., & Umar, M. (2022). Extreme connectedness between renewable energy tokens and fossil fuel markets. Energy Economics, 114, 106305. https://doi.org/10.1016/j.eneco.2022.106305.

    Article  Google Scholar 

  • Yousaf, I., Patel, R., & Yarovaya, L. (2022). The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach. Journal of Behavioral and Experimental Finance, 35, 100723. https://doi.org/10.1016/j.jbef.2022.100723.

  • Yousaf, I., Riaz, Y. and Goodell, J.W. (2022) Energy cryptocurrencies: Assessing connectedness with other asset classes. Finance Research Letters, 103389. https://doi.org/10.1016/J.FRL.2022.103389.

  • Yousaf, I., Riaz, Y. and Goodell, J.W. (2023) The impact of the SVB collapse on global financial markets: Substantial but narrow. Finance Research Letters, 55, p. 103948. https://doi.org/10.1016/j.frl.2023.103948.

  • Yousaf, I. and Yarovaya, L. (2022) Spillovers between the Islamic gold-backed cryptocurrencies and equity markets during the COVID-19: A sectorial analysis. Pacific Basin Finance Journal, 71(2021), p. 101705. https://doi.org/10.1016/j.pacfin.2021.101705.

Download references

Funding

This study was funded by Internal Research Support Programs (Program No. IRSPC2023002), Wenzhou-Kean University, China.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Imran Yousaf.

Ethics declarations

Conflict of Interest

There are no competing interests among authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hamouda, F., Yousaf, I. & Naeem, M.A. Exploring the Dynamics of Equity and Cryptocurrency Markets: Fresh Evidence from the Russia–Ukraine War. Comput Econ (2024). https://doi.org/10.1007/s10614-024-10573-w

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10614-024-10573-w

Keywords

JEL Classification

Navigation