Summary:
This paper develops a novel indicator of global economic activity, the GEA Tracker, which is based on commodity prices selected recursively through a genetic algorithm. The GEA Tracker allows for daily real-time knowledge of international business conditions using a minimum amount of information. We find that the GEA Tracker outperforms its competitors in forecasting stock returns, especially in emerging markets, and in predicting standard indicators of international business conditions. We show that an investor would have inexorably profited from using the forecasts provided by the GEA Tracker to weight a portfolio. Finally, the GEA Tracker allows us to present the daily evolution of global economic activity during the COVID-19 pandemic.
Keywords: Global economic activity; Commodity prices; Factor models; Variable selection; Genetic algorithm; Leading indicators
JCR Impact Factor and WoS quartile: 2,762 - Q2 (2021); 2,800 - Q2 (2023)
DOI reference:
https://doi.org/10.1016/j.jimonfin.2021.102400
Published on paper: July 2021.
Published on-line: April 2021.
Citation:
E. Diaz-Aguiluz, G. Pérez-Quiros, GEA tracker: a daily indicator of global economic activity. Journal of International Money and Finance. Vol. 115, July 2021. [Online: April 2021]
