A1 Journal article (refereed)
Commodity markets and the global macroeconomy : evidence from machine learning and GVAR (2024)
Boakye, E. O., Heimonen, K., & Junttila, J. (2024). Commodity markets and the global macroeconomy : evidence from machine learning and GVAR. Empirical Economics, Early online. https://doi.org/10.1007/s00181-024-02612-0
JYU authors or editors
Publication details
All authors or editors: Boakye, Ernest Owusu; Heimonen, Kari; Junttila, Juha
Journal or series: Empirical Economics
ISSN: 0377-7332
eISSN: 1435-8921
Publication year: 2024
Publication date: 23/05/2024
Volume: Early online
Publisher: Springer
Publication country: Germany
Publication language: English
DOI: https://doi.org/10.1007/s00181-024-02612-0
Publication open access: Openly available
Publication channel open access: Partially open access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/95190
Abstract
Based on a strongly data-intensive machine learning approach, this study first identifies the most essential globally traded commodities in view of their role for the global macroeconomic performance. At the second stage we estimate a global vector autoregressive model to assess in more detail these global reactions. Our results from the first stage indicate that of the 55 analyzed commodity markets, only four are revealed as the most important. At the second step, our GVAR analysis indicates that the commodity market effects on macroeconomic activity are neither unanimous across the commodities nor across macrovariables. As an overall result, the commodity market exposure is clearly stronger among the advanced countries such as the euro area, other developed economies, and China, compared to the emerging economies of Africa, Asia, and Latin America, at both the country and regional levels. This puts a lot of pressure on economic policies aimed at reducing, e.g., the depriving effects of commodity market price development on aggregate economic performance of these countries.
Keywords: macroeconomy; machine learning; economic policy; international economics
Free keywords: commodity prices; macroeconomy; machine learning; global VAR
Contributing organizations
Ministry reporting: Yes
Reporting Year: 2024
Preliminary JUFO rating: 1
- Economics (School of Business and Economics JSBE) KTT
- School of Resource Wisdom (University of Jyväskylä JYU) JYU.Wisdom
- School of Wellbeing (University of Jyväskylä JYU) JYU.Well
- Policy-Relevant Economics and Competitiveness of Economy (focus area) (School of Business and Economics JSBE) ; Formerly Policy-Relevant Economics