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Machine learning as an early warning system to predict financial crisis

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  1. Ayşegül Aytaç Emin & Başak Dalgıç & Tawfik Azrak, 2021. "Constructing a banking fragility index for Islamic banks: definition impact on the predictive power of an early warning system," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1589-1593, October.
  2. Erdinc Akyildirim & Oguzhan Cepni & Shaen Corbet & Gazi Salah Uddin, 2023. "Forecasting mid-price movement of Bitcoin futures using machine learning," Annals of Operations Research, Springer, vol. 330(1), pages 553-584, November.
  3. Sak, Halis & Huang, Tao & Chng, Michael T., 2024. "Exploring the factor zoo with a machine-learning portfolio," International Review of Financial Analysis, Elsevier, vol. 96(PA).
  4. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
  5. Cui, Jinxin & Maghyereh, Aktham, 2024. "Unveiling interconnectedness: Exploring higher-order moments among energy, precious metals, industrial metals, and agricultural commodities in the context of geopolitical risks and systemic stress," Journal of Commodity Markets, Elsevier, vol. 33(C).
  6. Noori, Mohammad & Hitaj, Asmerilda, 2023. "Dissecting hedge funds' strategies," International Review of Financial Analysis, Elsevier, vol. 85(C).
  7. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
  8. Wang, Peiwan & Zong, Lu, 2023. "Does machine learning help private sectors to alarm crises? Evidence from China’s currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
  9. Shu-Ling Lin & Xiao Jin, 2023. "Does ESG Predict Systemic Banking Crises? A Computational Economics Model of Early Warning Systems with Interpretable Multi-Variable LSTM based on Mixture Attention," Mathematics, MDPI, vol. 11(2), pages 1-15, January.
  10. Pawanesh Pawanesh & Charu Sharma & Niteesh Sahni, 2025. "Analyzing Communicability and Connectivity in the Indian Stock Market During Crises," Papers 2502.08242, arXiv.org.
  11. Bolívar, Fernando & Duran, Miguel A. & Lozano-Vivas, Ana, 2023. "Business model contributions to bank profit performance: A machine learning approach," Research in International Business and Finance, Elsevier, vol. 64(C).
  12. Polyzos, Stathis & Samitas, Aristeidis & Katsaiti, Marina-Selini, 2020. "Who is unhappy for Brexit? A machine-learning, agent-based study on financial instability," International Review of Financial Analysis, Elsevier, vol. 72(C).
  13. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  14. Beltman, Jaap & Machado, Marcos R. & Osterrieder, Joerg R., 2025. "Predicting retail customers' distress in the finance industry: An early warning system approach," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
  15. Caterina De Lucia & Pasquale Pazienza & Mark Bartlett, 2020. "Does Good ESG Lead to Better Financial Performances by Firms? Machine Learning and Logistic Regression Models of Public Enterprises in Europe," Sustainability, MDPI, vol. 12(13), pages 1-29, July.
  16. Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  17. Huang, Shirley Hsueh-Li & Hu, Guo-Hsin & Hsu, Ming-Fu, 2025. "Identifying contextual content-based risk drivers for advanced risk management strategies," Research in International Business and Finance, Elsevier, vol. 73(PB).
  18. Raffaele Marchi & Alessandro Moro, 2024. "Forecasting Fiscal Crises in Emerging Markets and Low-Income Countries with Machine Learning Models," Open Economies Review, Springer, vol. 35(1), pages 189-213, February.
  19. Naeem, Muhammad Abubakr, 2024. "Navigating median and extreme volatility in stock markets: Implications for portfolio strategies," International Review of Economics & Finance, Elsevier, vol. 95(C).
  20. Alonso-Alvarez, Irma & Molina, Luis, 2023. "How to foresee crises? A new synthetic index of vulnerabilities for emerging economies," Economic Modelling, Elsevier, vol. 125(C).
  21. Tang, Pan & Tang, Tiantian & Lu, Chennuo, 2024. "Predicting systemic financial risk with interpretable machine learning," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
  22. Liu, Qingbai & Wang, Chuanjie & Zhang, Ping & Zheng, Kaixin, 2021. "Detecting stock market manipulation via machine learning: Evidence from China Securities Regulatory Commission punishment cases," International Review of Financial Analysis, Elsevier, vol. 78(C).
  23. Baur, Dirk G. & Hoang, Lai T. & Hossain, Md Zakir, 2022. "Is Bitcoin a hedge? How extreme volatility can destroy the hedge property," Finance Research Letters, Elsevier, vol. 47(PB).
  24. An, Hui & Wang, Hao & Delpachitra, Sarath & Cottrell, Simon & Yu, Xiao, 2022. "Early warning system for risk of external liquidity shock in BRICS countries," Emerging Markets Review, Elsevier, vol. 51(PA).
  25. Chen, Yan & Wang, Gang-Jin & Zhu, You & Xie, Chi & Uddin, Gazi Salah, 2023. "Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China," Global Finance Journal, Elsevier, vol. 58(C).
  26. Mohamed Elhoseny & Noura Metawa & Gabor Sztano & Ibrahim M. El-hasnony, 2025. "Deep Learning-Based Model for Financial Distress Prediction," Annals of Operations Research, Springer, vol. 345(2), pages 885-907, February.
  27. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).
  28. Song, Shijia & Li, Handong, 2025. "Can topological transitions in cryptocurrency systems serve as early warning signals for extreme fluctuations in traditional markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).
  29. Emile du Plessis, 2025. "Can Text-Based Statistical Models Reveal Impending Banking Crises?," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1265-1298, March.
  30. Elena G. Shershneva, 2024. "CAMELS parameters’ impact on the risk of losing financial stability: The case of Russian banks," Journal of New Economy, Ural State University of Economics, vol. 25(2), pages 130-152, July.
  31. Dimitrios Kenourgios & Spyros Papathanasiou & Anastasia Christina Bampili, 2022. "On the predictive power of CAPE or Shiller’s PE ratio: the case of the Greek stock market," Operational Research, Springer, vol. 22(4), pages 3747-3766, September.
  32. Xianfei Hui & Baiqing Sun & Hui Jiang & Yan Zhou, 2022. "Modeling dynamic volatility under uncertain environment with fuzziness and randomness," Papers 2204.12657, arXiv.org, revised Oct 2022.
  33. Semen Budennyy & Alexey Kazakov & Elizaveta Kovtun & Leonid Zhukov, 2022. "New drugs and stock market: how to predict pharma market reaction to clinical trial announcements," Papers 2208.07248, arXiv.org, revised Aug 2022.
  34. Zhao, Guobin & Yuan, Yanzhe & Zhang, Yaning, 2025. "Exploring the mechanism and path of financial Literacy's impact on consumption of middle-aged and elderly rural residents: Micro-evidence from CHFS data," International Review of Economics & Finance, Elsevier, vol. 97(C).
  35. Bitetto, Alessandro & Cerchiello, Paola & Mertzanis, Charilaos, 2023. "Measuring financial soundness around the world: A machine learning approach," International Review of Financial Analysis, Elsevier, vol. 85(C).
  36. Wang, Gang-Jin & Chen, Yan & Zhu, You & Xie, Chi, 2024. "Systemic risk prediction using machine learning: Does network connectedness help prediction?," International Review of Financial Analysis, Elsevier, vol. 93(C).
  37. Dichtl, Hubert & Drobetz, Wolfgang & Otto, Tizian, 2023. "Forecasting Stock Market Crashes via Machine Learning," Journal of Financial Stability, Elsevier, vol. 65(C).
  38. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).
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