13th ECB Conference on Forecasting Techniques
Artificial intelligence in the analysis of economic narratives, forecasting, and risk assessment
23 and 24 March 2026, Frankfurt am Main
This biennial conference provides a forum for new theoretical and applied work on forecasting with an aim to put new insights into practice. Under the title “Artificial intelligence in economic narratives, forecasting and risk assessments”, the forthcoming edition focuses on the use of AI algorithms for economic analysis, exploring how these methods are transforming the way economists understand and interpret economic phenomena.
As artificial intelligence and machine learning techniques rapidly evolve, they offer unprecedented opportunities to analyse complex economic relationships, detect patterns in high-dimensional data, and uncover structural dynamics that traditional methods may overlook. The conference aims to address both the potential and the challenges of AI-driven economic analysis in an environment characterized by high economic, financial, and political risks. One session of the conference is co-organized with the Financial Transactions "Big Data" Global Research Network (FTGRN).
The conference will be held onsite, and there will be a live stream for passive participation online.
PHOTOS
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Programme
* indicates the presenter
- 8:30
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Registration and coffee
- 9:00
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Welcome remarks
João Sousa, European Central Bank
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SESSION 1
The Use of Large Language Models in EconomicsSession chair: Joan Paredes, Národná Banka Slovenska
- 9:15
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Keynote speech
Forecasting in the Presence of Instabilities and Big DataBarbara Rossi, European University Institute
- 10:15
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Coffee break
- 10:45
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From Text to Quantified Insights: A Large-Scale LLM Analysis of Central Bank Communication
Ole Gregarek*, International Monetary Fund
with Thiago Christiano Silva, Kei Moriya, and Romain Michel Veyrune, all International Monetary FundDiscussant: Leif Anders Thorsrud, BI Norwegian Business School
- 11:30
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LLM Survey Framework: Coverage, Reasoning, Dynamics, Identification
Jin Xi*, Chinese Academy of Sciences
with Jin Cynthia Wu and Shihan Xie, both University of IllinoisDiscussant: Olga Goldfayn-Frank, Deutsche Bundesbank
- 12:15
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FOMC In Silico: A Multi-Agent System for Monetary Policy Decision Modeling
Sophia Kazinnik*, Stanford University
with Tara Sinclair, George Washington UniversityDiscussant: Fédéric Holm-Hadulla, European Central Bank
- 13:00
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Buffet lunch
- 13:30-14:30
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POSTER SESSION 1
- Using Transformers and Reinforcement Learning to Narrate the Business Cycle
Poster: Using Transformers and Reinforcement Learning to Narrate the Business Cycle
Leif Anders Thorsrud*, BI Norwegian Business School
with Vegard Larsen, BI Norwegian Business School -
Measuring Economic Outlook in the News
Franziska Eckert*, Schweizerische Nationalbank
with Elliot Beck, Schweizerische Nationalbank, Linus Kühne, ETH Zurich, Helge Liebert and Rina Rosenblatt-Wisch, both Schweizerische Nationalbank - Mixing it up: Inflation at Risk
Poster: Mixing it up: Inflation at Risk
Maximilian Schröder*, European Central Bank - Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs
Poster: Misspecification-Robust Shrinkage and Selection for VAR Forecasts and IRFs
Oriol González-Casasús*, Universitat Pompeu Fabra
with Frank Schorfheide, University of Pennsylvania - Geopolitics, Geoeconomics, and Sovereign Risk: Different Shocks, Different Channels
Poster: Geopolitics, Geoeconomics, and Sovereign Risk: Different Shocks, Different Channels
Alvaro Ortiz*, BBVA Research
with Tomasa Rodrigo and Pablo Saborido, both BBVA Research - Predicting Oil Prices with LLMs: Tapping into OPEC and IEA Reports
Poster: Predicting Oil Prices with LLMs: Tapping into OPEC and IEA Reports
Gianluigi Lopardo*, Prometeia
with Ana-Simona Manu, Arthur Stalla-Bourdillon and Ine van Robays, all European Central Bank - Quantifying Economic Narratives: The Transmission of FOMC Communication to Household Expectations via the Media
Poster: Quantifying Economic Narratives: The Transmission of FOMC Communication to Household Expectations via the Media
Johannes Zahner*, Goethe University
with Eleftherios Bethmage, Goethe University
- Using Transformers and Reinforcement Learning to Narrate the Business Cycle
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SESSION 2
Economic NarrativesSession chair: Rina Rosenblatt-Wisch, Schweizerische Nationalbank
- 14:30
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Adventures in Demand Analysis Using AI
Martin Spindler*, University of Hamburg
with Philipp Bach, Freie Universität Berlin, Victor Chernozhukov, Massachusetts Institute of Technology, Sven Klaassen, Jan Teichert-Kluge, all University of Hamburg, and Suhas Vijaykumar, University of California, San DiegoDiscussant: Dimitris Georgarakos, European Central Bank
- 15:15
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Generative Economic Modeling
Fabio Stohler*, University of Bonn
with Hanno Kase, European Central Bank, and Matthias Rottner, Bank for International SettlementsDiscussant: Michael Reiter, Institute for Advanced Studies, Vienna
- 16:00
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Principled Identification of Structural Dynamic Models
Peter Reinhard Hansen*, University of North Carolina at Chapel Hill
with Neville Francis, University of North Carolina at Chapel Hill, and Chen Tong, Xiamen UniversityDiscussant: Oriol González-Casasús, Universitat Pompeu Fabra
- 16:45
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Coffee break
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SESSION 3
Leveraging Big Data for Economic AnalysisSession chair: Alvaro Ortiz, Financial Transactions "Big Data" Global Research Network (FTGRN)
- 17:15
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The Short Lags of Monetary Policy
Afonso Souto de Moura*, European Central Bank
with Gergely Buda, Barcelona School of Economics, Vasco M. Carvalho, University of Cambridge, Giancarlo Corsetti, European University Institute, João B. Duarte, Nova School of Business and Economics, Stephen Hansen, University College London, Álvaro Ortiz, BBVA Research, Tomasa Rodrigo, BBVA Research, José V. Rodríguez Mora, CUNEF Universidad, University of Edinburgh, Guilherme Alves da Silva, Nova School of Business and EconomicsDiscussant: Leonardo Melosi, European University Institute
- 18:00
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Disaggregated Economic Accounts
Asger L. Andersen*, University of Copenhagen
with Kilian Huber, University of Chicago, Niels Johannesen, University of Oxford, Ludwig Straub, Harvard University, Emil Toft Vestergard, Danmarks NationalbankDiscussant: Chiara Osbat, Bank for International Settlements
- 18:45
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End of first conference day
- 19:00
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Dinner – by invitation only
- 8:30
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Registration and coffee
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SESSION 4
Forecasting with Machine LearningSession chair: Juri Marcucci, Banca d’Italia
- 9:15
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Keynote speech: Policymakers' Uncertainty
Stephen Hansen, University College London
- 10:15
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Coffee break
- 10:45
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Chronos-2: From Univariate to Universal Forecasting
Pablo Guerron*, Boston College
with Abdul Fatir Ansari, Oleksandr Shchur, both Amazon Web Services, Jaris Küken, Amazon Web Services; University of Freiburg), Andreas Auer, Amazon Web Services, Johannes Kepler, University Linz, Boran Han, Pedro Mercado, Syama Sundar Rangapuram, Huibin Shen, Lorenzo Stella, Xiyuan Zhang, Mononito Goswami, Shubham Kapoor, Danielle C. Maddix, Tony Hu, Junming Yin, Nick Erickson, Prateek Mutalik Desai, all Amazon Web Services, Hao Wang, Amazon Web Services; Rutgers University, Huzefa Rangwala, George Karypis, Yuyang Wang, Michael Bohlke-Schneider, all Amazon Web ServicesDiscussant: Francesco Ravazzolo, Free University of Bozen-Bolzano
- 11:30
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Debt-at-Risk
Faizaan Kisat*, International Monetary Fund
with Davide Furceri, International Monetary Fund, Domenico Giannone, Johns Hopkins University, Raphael Lam, and Hongchi Li, both International Monetary FundDiscussant: Maximilian Schröder, European Central Bank
- 12:15
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Dual Interpretation of Machine Learning Forecasts
Karin Klieber*, Oesterreichische Nationalbank
with Philippe Goulet Coulombe, Université du Québec à MontréalDiscussant: Galina Potjagailo, Bank of England
- 13:00
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Buffet lunch
- 13:30-14:30
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POSTER SESSION 2
- Using Social Interaction to Track Euro Area Economic Conditions
Poster: Using Social Interaction to Track Euro Area Economic Conditions
Luca Onorante*. Joint Research Centre, European Commission
with Konstantin Boss, Universitat Autonoma de Barcelona, and Luigi Longo, Joint Research Centre, European Commission - Scenario Analysis with Multivariate Bayesian Machine Learning Models
Poster: Scenario Analysis with Multivariate Bayesian Machine Learning Models
Michael Pfarrhofer*, Vienna University of Economics and Business
with Anna Stelzer, Oesterreichische Nationalbank - Economic Narratives and Realities of Geopolitical Risk
Poster: Economic Narratives and Realities of Geopolitical Risk
Vivien Lewis*, Deutsche Bundesbank
with Sarah Arndt, European Central Bank, Yevheniia Bondarenko, Deutsche Bundesbank, Matthias Rottner, BIS and Deutsche Bundesbank, and Yves Schüler, Deutsche Bundesbank - Fiscal Narratives and Inflation
Poster: Fiscal Narratives and Inflation
Sarah Arndt*, European Central Bank
with Farah Tohme, Goethe University - The Predictive Power of Fedspeak
Poster: The Predictive Power of Fedspeak
Andrej Sokol*, Bloomberg
with Nick Hallmark, Bloomberg - Effectiveness of a Soft LTV Limit
Poster: Effectiveness of a Soft LTV Limit
Helene Bruffaerts*, Ghent University
with Rudi Vander Vennet, Ghent University
- Using Social Interaction to Track Euro Area Economic Conditions
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SESSION 5
Time-Variation and State DependenceSession chair: Malte Knüppel, Deutsche Bundesbank
- 14:30
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Self-Driving Neural Networks for Yield Curve Modelling
Sicco Kooiker*, Vrije Universiteit Amsterdam
with Janneke von Brummelen, Julia Schaumburg, and Marcin Zamojski, all Vrije Universiteit AmsterdamDiscussant: Sarah Mouabbi, Banque de France
- 15:15
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An Extended Score-Driven Dynamic Factor Model: Recovering Composite Indicators from the Pandemic
Mariia Artemova*, Erasmus University Rotterdam
with Dick van Dijk and Evgenii Vladimirov, all Erasmus University RotterdamDiscussant: Dalibor Stevanovic, Université du Québec à Montréal
- 16:00
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Learning from Crises: A New Class of Time-Varying Parameter VARs with Observable Adaptation
Nicolas Hardy*, Universidad Diego Portales
with Dimitris Korobilis, Adam Smith Business School, University of GlasgowDiscussant: Claudia Foroni, European Central Bank
- 16:45
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Concluding remarks
Philip R. Lane, European Central Bank
- 17:00
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End of conference
This programme may be subject to change without notice.
Audiovisual notice: A photographer will be present at the event taking photographs for our internet / intranet webpage. If you prefer not to have your photograph taken, please approach the photographer directly. The event may be filmed and the video recording, or parts of it, may be published on the internet / intranet.
General information
European Central Bank
Sonnemannstrasse 20
60314 Frankfurt am Main
English
Participants are requested to arrange their own transfers, unless indicated otherwise.
Marta Banbura, European Central Bank
Niccolò Battistini, European Central Bank
Agostino Consolo, European Central Bank
Friderike Kuik, European Central Bank
Michele Lenza, European Central Bank
Elmar Mertens, European Central Bank
Alvaro Ortiz, Financial Transactions "Big Data" Global Research Network (FTGRN)
Gerhard Rünstler, European Central Bank
Lorena Saiz, European Central Bank
Iris Bettenhäuser
Stefanie Jetten
Tel.: +49 (0) 69 1344 8782
conf-forecasting@ecb.europa.eu