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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

High quality images of the 13th ECB Conference on Forecasting Techniques are available in the ECB Photo hub.

Programme

* indicates the presenter

Monday, 23 March 2026
8:30

Registration and coffee

9:00

Welcome remarks

João Sousa, European Central Bank


SESSION 1
The Use of Large Language Models in Economics

Session chair: Joan Paredes, Národná Banka Slovenska

9:15

Keynote speech
Forecasting in the Presence of Instabilities and Big Data  

Barbara Rossi, European University Institute

10:15

Coffee break

10:45

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 Fund

Discussant: Leif Anders Thorsrud, BI Norwegian Business School

11:30

LLM Survey Framework: Coverage, Reasoning, Dynamics, Identification 

Jin Xi*, Chinese Academy of Sciences
with Jin Cynthia Wu and Shihan Xie, both University of Illinois

Discussant: Olga Goldfayn-Frank, Deutsche Bundesbank

12:15

FOMC In Silico: A Multi-Agent System for Monetary Policy Decision Modeling 

Sophia Kazinnik*, Stanford University
with Tara Sinclair, George Washington University

Discussant: Fédéric Holm-Hadulla, European Central Bank

13:00

Buffet lunch

 13:30-14:30

POSTER SESSION 1


SESSION 2
Economic Narratives

Session chair: Rina Rosenblatt-Wisch, Schweizerische Nationalbank

14:30

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 Diego

Discussant: Dimitris Georgarakos, European Central Bank

15:15

Generative Economic Modeling

Fabio Stohler*, University of Bonn
with Hanno Kase, European Central Bank, and Matthias Rottner, Bank for International Settlements

Discussant: Michael Reiter, Institute for Advanced Studies, Vienna

16:00

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 University

Discussant: Oriol González-Casasús, Universitat Pompeu Fabra

16:45

Coffee break

SESSION 3
Leveraging Big Data for Economic Analysis

Session chair: Alvaro Ortiz, Financial Transactions "Big Data" Global Research Network (FTGRN)

17:15

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 Economics

Discussant: Leonardo Melosi, European University Institute 

18:00

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 Nationalbank

Discussant: Chiara Osbat, Bank for International Settlements

18:45

End of first conference day

19:00

Dinner – by invitation only

Tuesday, 24 March 2026
8:30

Registration and coffee


SESSION 4
Forecasting with Machine Learning

Session chair: Juri Marcucci, Banca d’Italia

9:15

Keynote speech: Policymakers' Uncertainty

Stephen Hansen, University College London

10:15

Coffee break

10:45

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 Services

Discussant: Francesco Ravazzolo, Free University of Bozen-Bolzano

11:30

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 Fund

Discussant: Maximilian Schröder, European Central Bank

12:15

Dual Interpretation of Machine Learning Forecasts

Karin Klieber*, Oesterreichische Nationalbank
with Philippe Goulet Coulombe, Université du Québec à Montréal

Discussant: Galina Potjagailo, Bank of England

13:00

Buffet lunch

13:30-14:30

POSTER SESSION 2 

SESSION 5
Time-Variation and State Dependence

Session chair: Malte Knüppel, Deutsche Bundesbank

14:30

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 Amsterdam

Discussant: Sarah Mouabbi, Banque de France

15:15

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 Rotterdam

Discussant: Dalibor Stevanovic, Université du Québec à Montréal

16:00

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 Glasgow

Discussant: Claudia Foroni, European Central Bank

16:45

Concluding remarks

Philip R. Lane, European Central Bank

17:00

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

Venue

European Central Bank
Sonnemannstrasse 20
60314 Frankfurt am Main

Language

English

Transfers

Participants are requested to arrange their own transfers, unless indicated otherwise.

Scientific committee

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

Contacts

Have a look at the last edition of the conference