Cryptocurrency Market Integration and Systemic Financial Risk: Evidence from Dynamic Spillover Networks

Authors

Keywords:

Cryptocurrency, Market Integration, Systemic Financial Risk, Dynamic Spillover Network, Connectedness, Bitcoin, Ethereum, Financial Contagion

Abstract

This study aimed to examine cryptocurrency market integration and systemic financial risk by estimating time-varying dynamic spillover networks among major cryptocurrencies and identifying the principal transmitters and receivers of shocks across different market regimes. This quantitative observational study combined investor-level data from 384 active cryptocurrency investors and traders residing in Tehran with daily market data for Bitcoin, Ethereum, Binance Coin, XRP, Cardano, Solana, Dogecoin, and Litecoin from January 1, 2020, to December 31, 2025. Participant information was collected using a structured questionnaire, while market integration was assessed using daily logarithmic returns. A generalized vector autoregressive framework and generalized forecast-error variance decomposition were applied to estimate total, directional, net, and pairwise spillovers. Dynamic connectedness was examined using rolling-window estimation, and network measures including in-strength, out-strength, eigenvector centrality, and betweenness centrality were used to identify systemically important cryptocurrencies. Robustness was evaluated through alternative lag structures, forecast horizons, and rolling-window lengths. The full-sample total connectedness index was 59.76%, indicating substantial cross-market transmission of return shocks. Bitcoin and Ethereum were the dominant net transmitters, with net spillovers of 38.6 and 24.7, respectively, whereas Litecoin, Dogecoin, Cardano, XRP, Solana, and Binance Coin were net receivers. Dynamic connectedness increased markedly during periods of market stress, reaching a mean of 71.84% during the early-2020 stress period and 76.92% during the 2022 contraction, with a maximum of 89.41%. Bitcoin recorded the highest eigenvector centrality and betweenness centrality, followed by Ethereum. Robustness analyses showed that mean connectedness remained between 57.61% and 61.43% across alternative specifications, while Bitcoin and Ethereum consistently remained net transmitters. Cryptocurrency markets exhibited strong, time-varying systemic integration, with risk transmission intensifying during turbulent periods and concentrating around highly central assets, particularly Bitcoin and Ethereum.

Downloads

Download data is not yet available.

References

1. Zhou F, Guo W. Time-Varying Network Structure and Volatility Prediction in the Cryptocurrency Market. Finance Research Letters. 2026;87:109028. doi: 10.1016/j.frl.2025.109028.

2. Vukovic DB, Frömmel M, Vigne SA, Zinovev V. Spillovers between cryptocurrencies and financial markets in a global framework. Journal of International Money and Finance. 2025;150:103235. doi: 10.1016/j.jimonfin.2024.103235.

3. Kazouz H, Yousfi M. Asymmetric Risk Spillovers between Green and Conventional Cryptocurrencies: Evidence from a Quantile-on-Quantile VAR with Geopolitical and Financial Risks. Development and Sustainability in Economics and Finance. 2026;9:100110. doi: 10.1016/j.dseef.2026.100110.

4. Harasheh M, Bouteska A. Volatility Estimation through Stochastic Processes: Evidence from Cryptocurrencies. The North American Journal of Economics and Finance. 2025;75:102320.

5. Almisshal B, Bulut HI. The Dynamics of Cryptocurrency Market from Behavioral Finance Perspective. Journal of Behavioral and Experimental Finance. 2026;49:101126. doi: 10.1016/j.jbef.2026.101126.

6. Yadav M. Behavioral biases of cryptocurrency investors: A prospect theory model. Review of Behavioral Finance. 2024.

7. Carbo Valverde S, Cuadros Solas PJ, Fernandez FR. Cryptocurrency Ownership and Cognitive Biases in Perceived Financial Literacy. Journal of Behavioral and Experimental Finance. 2025;45:101019. doi: 10.1016/j.jbef.2024.101019.

8. M'Bakob GB. Cryptocurrencies and Financial Market Stability: Theoretical Modeling and Empirical Evidence of Spillover Effects from Sequential Attention Cycles of Crypto Investors. Research in International Business and Finance. 2025;80:103141. doi: 10.1016/j.ribaf.2025.103141.

9. Shuhaiber A, Al-Omoush KS, Alsmadi AA. Investigating trust and perceived value in cryptocurrencies: do optimism, FinTech literacy and perceived financial and security risks matter? Kybernetes. 2025;54(1):330-57. doi: 10.1108/K-03-2023-0435.

10. Li M, Manahov V, Ashton J. The Impact of Cryptocurrency Heists on Bitcoin’s Market Efficiency. International Journal of Finance & Economics. 2024. doi: 10.1002/ijfe.3049.

11. Scharnowski S. Dark Web Traffic, Privacy Coins, and Cryptocurrency Trading Activity. Finance Research Letters. 2024;67:105875. doi: 10.1016/j.frl.2024.105875.

12. Zhang M, Zhu B, Li Z, Jin S, Xia Y. Relationships Among Return and Liquidity of Cryptocurrencies. Financial Innovation. 2024;10(1). doi: 10.1186/s40854-023-00532-z.

13. Jeleskovic V, Latini C, Younas ZI, Al‐Faryan MAS. Cryptocurrency Portfolio Optimization: Utilizing a GARCH‐copula Model Within the Markowitz Framework. Journal of Corporate Accounting & Finance. 2024;35(4):139-55. doi: 10.1002/jcaf.22721.

14. Shahbazi N, Barkhordari S. Optimizing a portfolio comprising selected stocks and cryptocurrencies. Budget and Finance Strategic Research. 2025;6(2):11-35.

15. Song D. Machine Learning for Price Prediction and Risk -Adjusted Portfolio Optimization in Cryptocurrencies2025. 321-56 p.

16. Kayani U, Hasan F. Unveiling Cryptocurrency Impact on Financial Markets and Traditional Banking Systems: Lessons for Sustainable Blockchain and Interdisciplinary Collaborations. Journal of Risk and Financial Management. 2024;17:58.

17. Webb A. Decentralized Finance (DeFi) and Its Implications on Traditional Network Economics: A Comparative Study on Market Power, Pricing Dynamics, and User Adoption. International Journal of Cryptocurrency Research. 2024;4(1):40-6. doi: 10.51483/ijccr.4.1.2024.40-46.

18. Lee N. Joint impact of market volatility and cryptocurrency holdings on corporate liquidity: A comparative analysis of cryptocurrency exchanges and other firms. Journal of Risk and Financial Management. 2024;17(9):406. doi: 10.3390/jrfm17090406.

19. Luo M, Yu S. Financial Reporting for Cryptocurrency. Review of Accounting Studies. 2024;29:1707-40. doi: 10.1007/s11142-022-09741-w.

20. Petryk O, Diak O. Procedures for Auditing Financial Statements of a Cryptocurrency Exchange and Their Technological Sequence. Economics Finances Law. 2025;5/2025(-):90-6. doi: 10.37634/efp.2025.5.19.

21. Tosun TT, Uğurlu E. The Impact of the Fed's Monetary Policy on Cryptocurrencies: Novel Policy Implications for Central Banks. Journal of Risk and Financial Management. 2025;18(7):393. doi: 10.3390/jrfm18070393.

22. Gu W, Li J, Sun X. Quantile Spillover Effect among Cryptocurrency and Financial Markets in Regulated Environment. Finance Research Letters. 2025;86(Part D):108630. doi: 10.1016/j.frl.2025.108630.

23. Koutrouli E, Manousopoulos P, Theal J, Tresso L. Crypto asset markets vs. financial markets: Event identification, latest insights and analyses. Applied Mathematics. 2025;5(2):36. doi: 10.3390/appliedmath5020036.

24. Enajero J. The Impact of AI-Driven Predictive Models on Traditional Financial Market Volatility: A Comparative Study With Crypto Markets. Ijaem. 2025;7(1):416-27. doi: 10.35629/5252-0701416427.

25. Japinye AO. Integrating Machine Learning in Anti-Money Laundering Through Crypto: A Comprehensive Performance Review. European Journal of Accounting Auditing and Finance Research. 2024;12(4):54-80. doi: 10.37745/ejaafr.2013/vol12n45480.

26. Namamian P. The Feasibility of Addressing the Financing of Terrorist Crimes in the Realm of Cryptocurrencies: The Experiences of Iran and Other Countries. Iranian Journal of International and Comparative Law. 2024;2(1):55.

Downloads

Publication Timeline

Published
Submitted
Revised
Accepted

Issue

Section

Articles

How to Cite

Falih Hadi Alsaudi, B., & Haghighat, J. (2027). Cryptocurrency Market Integration and Systemic Financial Risk: Evidence from Dynamic Spillover Networks. Journal of Management and Business Solutions, 1-21. https://journalmbs.com/index.php/jmbs/article/view/478

Similar Articles

51-60 of 233

You may also start an advanced similarity search for this article.