- Ai and the Fed
Report · 9 July 2025
A new NBER working paper explores how central banks can strategically integrate AI to enhance operations, using the Federal Reserve as a case study. The research employs dual frameworks examining…
- AI Projects in Financial Supervisory Authorities
Report · 3 October 2025
This paper discusses the imperative for financial supervisory authorities to enhance their toolkit through the adoption of Artificial Intelligence in response to the growing digitalization of…
- An AI-powered Tool for Central Bank Business Liaisons: Quantitative Indicators and On-demand Insights from Firms
Solution, Report · 23 June 2025
Researchers at the RBA have developed an AI-powered text analytics and retrieval tool that processes quarter-century of central bank business liaison meeting notes using natural language processing…
- Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System
Report · 1 January 2022
Risk analysis and scenario testing are two of the core activities carried out by economists at central banks. With the increasing adoption of machine learning to enhance decision-support systems, and…
- Financial Authorities in the Era of Data Abundance: Regtech for Regulators and Suptech Solutions
Report · 3 April 2025
Technology solutions for regulators (RegTech for Regulators or “RegTech2”) and supervisors (“SupTech”) enhance the capabilities of financial authorities to meet the challenges posed by digitization…
- Financial Services Agency Japan trials machine learning to predict credit downgrades
Report · 17 June 2025
Japan FSA employed an innovative machine learning model to analyse granular loan data from regional banks alongside macroeconomic indicators to forecast credit risks. The regulator's recently…
- Harnessing artificial intelligence for monitoring financial markets
Report · 24 September 2025
Predicting financial market stress has long proven to be a largely elusive goal. Advances in artificial intelligence and machine learning offer new possibilities to tackle this problem, given their…
- Innovative technology in financial supervision (suptech) – the experience of early users
Report · 1 July 2018
Financial supervisors can harness the same innovative technologies that are driving fintech developments. Such so-called SupTech applications can be found in the areas of data collection and…
- Institutional Arrangements for Fintech Regulation: Supervisory Monitoring
Report · 26 June 2023
The impact of fintech is growing rapidly worldwide, although this growth is uneven across jurisdictions. Depending on the effect of fintech, authorities may adopt a passive approach of monitoring…
- Lessons on supervisory effectiveness – a literature review
Report · 17 July 2025
Drawing from academic research, policy work, observed bank failures, and supervisory practices, the review defines supervisory effectiveness as the ability to promptly assess prudential risks…
- Machine learning in central banking
Report · 10 November 2022
Proceedings of the IFC-Bank of Italy Workshop on "Data Science in Central Banking", Part 1: Machine learning applications, Rome (virtual event), 19-22 October 2021.
- Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance
Report · 1 January 2021
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms…
- Predicting bank insolvencies using machine learning techniques
Report · 1 January 2017
In this work, we employ a series of modeling techniques to predict bank insolvencies on a sample of US based financial institutions. Our empirical results indicate that the method of Random Forests…
- Project Neo: gaining new economic insights with AI and novel data sources
Solution, Proof of concept (POC) · 21 March 2024
The Bank for International Settlements and Swiss National Bank have launched Project Neo to explore how granular data from novel sources, including air transport, road traffic, electricity and…
- Strategic intelligence tools for emerging technology governance - A policy primer
Report · 17 July 2025
Emerging technologies hold great promise for addressing societal challenges, boosting growth, and improving lives. Yet their complexity, rapid evolution, and uncertain impacts pose real challenges…
- Supervision and Regulation after Silicon Valley Bank
Report · 16 October 2023
Following the spring failures of Silicon Valley Bank, Signature Bank, and First Republic Bank, senior advisors to the Center for Financial Stability conducted a comprehensive review of the root…
- The use of artificial intelligence for policy purposes
Report · 10 October 2025
The report examines how central banks, financial regulators and supervisory authorities are using AI for policy purposes. They regularly work with vast data sets and complex decision-making processes…
- The use of big data analytics and artificial intelligence in central banking
Report · 28 May 2025
Proceedings of the IFC – Bank Indonesia International Workshop and Seminar on “Big Data for Central Bank Policies / Building Pathways for Policy Making with Big Data”. Bali, Indonesia, 23-26 July 2018
- Toronto Centre develops framework to address geopolitical risks in financial supervision
Report, Podcast · 12 August 2025
Financial supervisors face mounting challenges from complex, country-specific geopolitical risks that impact their regulatory objectives through varied channels. The Toronto Centre's new assessment…
- Tweet Sentiment Tool
Solution · 1 December 2021
The QFCRA is developing a tweet sentiment tool which detects tweets both directly relevant to supervised firms or those that reflect their operating environment (eg developments in the hydrocarbon…
- Utilising Generative AI Tools to Monitor Systemic Risks in Global Banking: An Analysis of Earnings Call Transcript Data
Report · 1 January 2025
This paper introduces a framework that uses the large language modeling (LLM)2 technique to analyse banks’ earnings call transcripts, aiming to generate insights into the key and emerging risks…
- Logistic Regression Model for Business Failures Prediction of Technology Industry in Thailand
Report · 15 March 2017
Since the large number of parties involved in corporate failure or ‘business failure’, the avoidance of failure has always been an important issue in the field of corporate finance and business…
- Logistic Regression Model for Business Failures Prediction of Technology Industry in Thailand
Report · 6 November 2012
Since the large number of parties involved in corporate failure or ‘business failure’, the avoidance of failure has always been an important issue in the field of corporate finance and business…
- Distress in European Banks: An Analysis Based on a New Dataset
Report · 11 March 2009
The global financial crisis has highlighted the importance of early identification of weak banks: when problems are identified late, solutions are much more costly. Until recently, Europe has seen…
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