Thierry Warin, PhD: [Conference] Machine Learning in International Trade and Finance

Thierry Warin

Abstract

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

Thierry Warin, HEC Montréal and Digital, Data and Design (D^3) Institute Harvard Business School

Topic: WTO: An NLP analysis of the state of trade multilateralism - Bullet Points for Conversation

Presentation here

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}
}