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On the Prediction of Systemic Risk Tolerance of Cryptocurrencies

Author

Listed:
  • Sabri Boubaker

    (Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School)

  • Sitara Karim

    (Sunway University [Malaysia])

  • Muhammad Abubakr Naeem

    (Swansea University)

  • Molla Ramizur Rahman

Abstract

The role of big data in finance is pivotal, especially in forecasting stock prices, mitigating risk, and assessing market anomalies. With the financial system becoming more interconnected, analytical models using large data are gaining prominence in developing risk spillover models. This study estimates the systemic risk tolerance of twenty-five high-valued cryptocurrencies and finds that Fantom has the highest tolerance, while Bitcoin and Ethereum have a lower tolerance due to their large market share. It also shows that the common trend of cryptocurrencies enhances each other's tolerance and develops a predictive model for systemic risk tolerance. The study can help investors and market participants devise strategies for safe haven investment, hedging, and speculation during a market downturn. \textcopyright 2023 Elsevier Inc.

Suggested Citation

  • Sabri Boubaker & Sitara Karim & Muhammad Abubakr Naeem & Molla Ramizur Rahman, 2024. "On the Prediction of Systemic Risk Tolerance of Cryptocurrencies," Post-Print hal-04432400, HAL.
    • Handle: RePEc:hal:journl:hal-04432400
    DOI: 10.1016/j.techfore.2023.122963
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    Cited by:

    1. Hakim, Arief & Salman, A.N.M. & Syuhada, Khreshna, 2025. "Conditional generalized quantiles as systemic risk measures: Properties, estimation, and application," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 235(C), pages 60-84.
    2. Qin, Meng & Shao, Xuefeng & Hu, Chengming & Su, Chi Wei, 2025. "Can gold hedge against uncertainty in the cryptocurrency and energy markets?," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
    3. Drăgan, George Bogdan & Ben Arfi, Wissal & Tiberius, Victor & Ammari, Aymen & Khvatova, Tatiana, 2025. "Navigating the green wave: Understanding behavioral antecedents of sustainable cryptocurrency investment," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    4. Ahmed, Shamima & Akhtaruzzaman, Md & Le, Van & Nath, Tamal & Rahman, Molla Ramizur, 2024. "Interconnectedness in the FOREX market during the high inflation regime: A network analysis," Research in International Business and Finance, Elsevier, vol. 71(C).
    5. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Gong, Jue & Li, Zhao-Chen & Zhu, You, 2024. "Who dominate the information flowing between innovative and traditional financial assets? A multiscale entropy-based approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 329-358.
    6. Kayani, Umar & Ullah, Mirzat & Aysan, Ahmet Faruk & Nazir, Sidra & Frempong, Josephine, 2024. "Quantile connectedness among digital assets, traditional assets, and renewable energy prices during extreme economic crisis," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    7. Banerjee, Ameet Kumar & Rahman, Molla Ramizur & Misra, Arun Kumar & Sensoy, Ahmet, 2025. "Risk sharing framework and systemic tolerance in Indian banks: Double layer network approach," Research in International Business and Finance, Elsevier, vol. 73(PB).
    8. Tao, Miaomiao & Lin, Boqiang & Poletti, Stephen & Roubaud, David, 2025. "Greener pastures, steadier returns: ESG ratings and idiosyncratic risk management," International Review of Economics & Finance, Elsevier, vol. 100(C).
    9. Huang, Jionghao & Li, Hongqiao & Chen, Baifan & Liu, Mengai & An, Chaofan & Xia, Xiaohua, 2025. "Revisiting the currency-commodity nexus: New insights into the R2 decomposed connectedness and the role of global shocks," International Review of Economics & Finance, Elsevier, vol. 98(C).
    10. Banerjee, Ameet Kumar & Sensoy, Ahmet & Rahman, Molla Ramizur & Palma, Alessia, 2024. "Commonality in volatility among green, brown, and sustainable energy indices," Finance Research Letters, Elsevier, vol. 64(C).
    11. Banerjee, Ameet Kumar & Boubaker, Sabri & Al-Nassar, Nassar S., 2024. "Climate policy initiatives, green finance, and carbon risk interconnectedness," Finance Research Letters, Elsevier, vol. 67(PA).
    12. Liu, Yakun & Chen, Yan, 2024. "Skewness risk and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 96(PA).

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