Clustering and Volatility Spillovers in Steel-Related Commodity Markets: Evidence from US Producer Prices and Global Metal Indices

This research examines the clustering structure and volatility spillover among steel-related products in monthly data from July 2004 to September 2025. Using various clustering methods, K-means, hierarchical techniques and market network analysis with correlations, four distinct marketing clusters have been identified: (1) US (United States) steel products, (2) global cyclical raw materials, (3) US iron ore market, and (4) global base metals. The overall volatility spillover index stands at 15.39%, exhibiting significant dynamics that vary over time, driven by major economic events, including the 2008 global financial crisis, the 2015 Chinese currency devaluation, the COVID-19 outbreak, the 2022 Ukrainian conflict, and the 2025 Trump trade tariffs. The primary driver of volatility in global trade is US carbon steel wire prices, while the largest net recipient of volatility shocks is the global copper price. These findings have key implications for understanding the global interconnectedness of steel markets in the current context.

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Publication Details

Journal
Commodities
Published
2026-04-01
DOI
https://doi.org/10.3390/commodities5020008
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Clustering and Volatility Spillovers in Steel-Related Commodity Markets: Evidence from US Producer Prices and Global Metal Indices

José Álvarez-García, Francisco Venegas-Martínez, Ana Lorena Jiménez-Preciado
Commodities
Market Dynamics and Volatility
article

Clustering and Volatility Spillovers in Steel-Related Commodity Markets: Evidence from US Producer Prices and Global Metal Indices

José Álvarez-García, Francisco Venegas-Martínez, Ana Lorena Jiménez-Preciado
article en

Abstract

This research examines the clustering structure and volatility spillover among steel-related products in monthly data from July 2004 to September 2025. Using various clustering methods, K-means, hierarchical techniques and market network analysis with correlations, four distinct marketing clusters have been identified: (1) US (United States) steel products, (2) global cyclical raw materials, (3) US iron ore market, and (4) global base metals. The overall volatility spillover index stands at 15.39%, exhibiting significant dynamics that vary over time, driven by major economic events, including the 2008 global financial crisis, the 2015 Chinese currency devaluation, the COVID-19 outbreak, the 2022 Ukrainian conflict, and the 2025 Trump trade tariffs. The primary driver of volatility in global trade is US carbon steel wire prices, while the largest net recipient of volatility shocks is the global copper price. These findings have key implications for understanding the global interconnectedness of steel markets in the current context.

CommoditiesVol. 5(2)
Instituto Politécnico Nacional (MX), Universidad de Extremadura (ES)
Openalex Percentile: Top 26%
Market Dynamics and Volatility
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Clustering and Volatility Spillovers in Steel-Related Commodity Markets: Evidence from US Producer Prices and Global Metal Indices — José Álvarez-García, Francisco Venegas-Martínez, et al. · Commodities (2026) | TGRS Research Map | TGRS