[Conference] Machine Learning in International Trade and Finance

Conferences

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Author

Affiliation

Thierry Warin

HEC Montréal and CIRANO (Canada)

Published

Jan. 7, 2024

Citation

Warin, 2024

PPT Presentation

Abstract

Link to the AEA website here

This panel examines the growing interest in machine learning (ML) within the domains of international trade and finance, driven by its potential to revolutionize decision-making processes, risk management, and predictive analytics. ML algorithms are capable of analyzing extensive datasets encompassing trade flows, tariffs, and economic indicators, thereby enabling the identification of patterns, anomaly detection, and market trend prediction. These algorithms play a crucial role in optimizing supply chain management through demand forecasting, inventory cost reduction, and improved delivery timelines. Additionally, ML-powered natural language processing techniques automate the extraction of valuable insights from trade agreements, contracts, and regulatory documents, thereby facilitating trade policy formulation and compliance efforts.

Panelist

Footnotes

    Citation

    For attribution, please cite this work as

    Warin (2024, Jan. 7). Thierry Warin, PhD: [Conference] Machine Learning in International Trade and Finance. Retrieved from https://warin.ca/posts/2024-1-7-conference-aea-san-antonio/

    BibTeX citation

    @misc{warin2024[conference],
  author = {Warin, Thierry},
  title = {Thierry Warin, PhD: [Conference] Machine Learning in International Trade and Finance},
  url = {https://warin.ca/posts/2024-1-7-conference-aea-san-antonio/},
  year = {2024}
}