1. Wang M.H., Yeung Y. Large language model-driven time-series forecasting of financial network indicators // Frontiers in Artificial Intelligence. – 2026. – Vol. 9. – DOI:https://doi.org/10.3389/frai.2026.1722121.
2. Santos Pereira Á. Artificial intelligence and financial stability – navigating risks and opportunities [Electronic resource] // Bank for International Settlements. – 2025. – 10 November. – URL: https://www.bis.org/review/r251106c.htm (дата обращения: 20.05.2026).
3. Wang M.H., Yeung Y. Large language model-driven time-series forecasting of financial network indicators [Electronic resource] // Frontiers in Artificial Intelligence. – 2026. – 29 January. – URL: https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1722121/full (дата обращения: 20.05.2026).
4. Zhang T. Artificial intelligence and central banks: monetary and financial stability implications [Electronic resource] // Bank for International Settlements. – 2025. – 8 October. – URL: https://www.bis.org/speeches/sp251009.htm (дата обращения: 20.05.2026).
5. Wang Z., Wu C., Jiang C., Zhao H. Generative AI as an Information Intermediary: A Novel Deep Learning Method for Financial Distress Prediction // MIS Quarterly. – 2026. – DOI:https://doi.org/10.25300/MISQ/2026/19476.
6. Välimäki T. From promise to practice – how AI is transforming the economy, the financial sector and financial supervision [Electronic resource] // Bank for International Settlements. – 2025. – 12 November. – URL: https://www.bis.org/review/r251106b.htm (дата обращения: 20.05.2026).
7. Meng S., Chen X. Artificial Intelligence and Systemic Risk: A Unified Model of Performative Prediction, Algorithmic Herding, and Cognitive Dependency in Financial Markets [Electronic resource] // arXiv. – 2026. – URL: https://econpapers.repec.org/paper/arxpapers/2604.03272.htm (дата обращения: 20.05.2026).
8. BIS. Harnessing artificial intelligence for monitoring financial markets [Electronic resource] // Bank for International Settlements. – 2025. – URL: https://www.bis.org/publ/work1291.htm (дата обращения: 20.05.2026).
9. Rech F., Meng F., Musa H., Šebeňa M., Tuo S.J. Forecasting financial distress in dynamic environments: AI adoption signals and temporally pruned training windows [Electronic resource] // arXiv. – 2025. – URL: https://browse-export.arxiv.org/abs/2512.02510 (дата обращения: 20.05.2026).
10. BIS. Predicting financial market stress with machine learning [Electronic resource] // Bank for International Settlements. – 2025. – URL: https://www.bis.org/publ/work1250.htm (дата обращения: 20.05.2026).



