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Global | Geopolítica, geoeconomía y riesgo: un enfoque basado en aprendizaje automático
[Global | Geopolitics, geoeconomics and risk: a machine learning approach]

Author

Listed:
  • BBVA Research
  • Alvaro Ortiz
  • Tomasa Rodrigo

Abstract

We introduce a novel high-frequency daily panel dataset of both markets and news-based indicators for 42 countries across both emerging and developed markets. We introduce a novel high-frequency daily panel dataset of both markets and news-based indicators for 42 countries across both emerging and developed markets.

Suggested Citation

  • BBVA Research & Alvaro Ortiz & Tomasa Rodrigo, 2025. "Global | Geopolítica, geoeconomía y riesgo: un enfoque basado en aprendizaje automático [Global | Geopolitics, geoeconomics and risk: a machine learning approach]," Working Papers 25/14, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:2514
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    References listed on IDEAS

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    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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