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The aim of this research is to discover the economic variables that have the highest correlation with the price of steel in each country and to compare whether these are the same, based on the data obtained for the period 2011–2024. The main results of this research show that the economic variables of imports have a higher correlation than exports with the local price of steel for the countries Germany, Italy, Spain and France. However, for the United States, the highest correlation is in the average geographical inflation and its export. We also find that for China there is a strong inverse correlation with the stock of international reserves. This suggests that President Trump’s tariff policies will influence the price of local steel.

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Influence of Economic Variables on Steel Prices by Country

  • 会议论文

  • 发表日期：

    2026年

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  • Miguel Manzanedo Saiz,
  • Roberto Alcalde,
  • Carlos Alonso de Armiño,
  • Belén Alonso Núñez,
  • Nuño Basurto

摘要

The aim of this research is to discover the economic variables that have the highest correlation with the price of steel in each country and to compare whether these are the same, based on the data obtained for the period 2011–2024. The main results of this research show that the economic variables of imports have a higher correlation than exports with the local price of steel for the countries Germany, Italy, Spain and France. However, for the United States, the highest correlation is in the average geographical inflation and its export. We also find that for China there is a strong inverse correlation with the stock of international reserves. This suggests that President Trump’s tariff policies will influence the price of local steel.