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An artificial intelligence approach to forecasting when there are structural breaks

A reinforcement learning-based framework for fast switching

Bibliographic Data

ID21542068
AuthorsJeronymo Marcondes Pinto (0000-0002-4534-0805, corresponding author), Emerson Fernandes Marçal (0000-0002-0841-5644, Companhia Energética de São Paulo)
Year2023
Volume65
Issue4
Pages1729-1759
Publication date2023-10-01
Open AccessYes
TypeARTICLE
VenueEmpirical Economics (JOURNAL)
Journal identifiersISSN: 0377-7332 • E-ISSN: 1435-8921
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s00181-023-02389-8
OpenAlexW4322769329
LanguageEN
References cited31

Econometrics · Economics · Machine learning · Monte Carlo method · Reinforcement learning · Statistics · Complex Systems and Time Series Analysis · Computer Science · Forecasting Techniques and Applications · Mathematics · Stock Market Forecasting Methods · Artificial Intelligence

  • Tests of Conditional Predictive Ability

    Open Access•Raffaella Giacomini, Halbert White•Econometrica•2006

  • Structural Breaks in the International Dynamics of Inflation

    Erdenebat Bataa, Denise R Osborn et al.•The Review of Economics and…•2013

Highly citedNo

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