Dubai – August 25, 2025 (Qahwa World) – A groundbreaking academic study titled Quality differences, location, and coffee price return networks: Insights from a high-dimensional CoVaR-copula analysis has shed light on the hidden mechanisms driving coffee price dynamics worldwide. The research highlights that both quality and geographic location play a central role in shaping risk spillovers and market interconnections across the global coffee trade.
The study analyzed daily data spanning twenty years and covering 17 distinct coffee varieties traded in three of the world’s most important markets: the United States, Germany, and France. The data, drawn from the International Coffee Organization (ICO), was not used in aggregated form. Instead, the researchers disaggregated it at the variety level, allowing for a far more detailed and accurate picture of price dynamics and market integration.
The findings suggest that high-quality coffees, such as mild arabicas, form stronger and more stable price linkages within markets, while lower-quality coffees like robusta exhibit more volatility and divergence. Moreover, risk spillovers are found to be stronger among coffees of similar quality, creating distinct clusters in the price network.
One of the study’s most important insights is the role of the United States as the central node of the global coffee risk network. As the world’s largest importer of coffee, the U.S. absorbs spillovers from European markets, particularly Germany and France. This centrality means that disturbances in European markets can quickly reverberate through the U.S., which then amplifies their impact across the rest of the world.
From a methodological standpoint, the study employed a high-dimensional CoVaR-copula framework, a sophisticated statistical approach that focuses on extreme price movements rather than long-term averages. Unlike traditional cointegration methods, which focus on whether prices move together in the long run, this approach looks at how shocks in one market are transmitted during stress periods to other markets.
To address the challenge of handling a large number of variables, the researchers used high-dimensional VAR (Vector Autoregressive) models combined with an Elastic-Net technique, which helps to reduce overfitting and manage what is known as the “curse of dimensionality.” This combination allowed for the creation of clearer, more precise connectedness networks, showing how risk flows between different coffee varieties and across national markets.
In addition to price data, the study incorporated insights from chemical analyses of coffee. Previous research had identified specific chemical compounds that differentiate varieties and contribute to flavor and aroma profiles. By aligning price data with chemical properties and trading locations, the researchers produced heatmaps and connectedness graphs that reveal how both intrinsic quality and geography drive the clustering of coffee markets.
The results demonstrate that geographical proximity facilitates faster transmission of information and market shocks, while chemical and sensory differences create visible separations within networks. In other words, the global coffee market is not just shaped by supply and demand—it is influenced by the interplay of quality, chemistry, taste, and trading location.
Although the study faced limitations, particularly the inability to analyze coffee futures contracts at the variety level due to insufficient data, it still provides valuable insights into the structure of the global coffee trade. By revealing how clusters form and risks spill over, the research helps explain why certain markets are more vulnerable than others during times of stress.
For policymakers, producers, and importers, these findings carry important implications. Monitoring general coffee price indices is no longer sufficient. Instead, stakeholders must consider differences in quality and geographic positioning when evaluating market risks. With global coffee markets under increasing pressure from climate change, supply chain disruptions, and regulatory frameworks such as the European Union’s deforestation regulation, this research offers a timely tool for risk management and strategic planning.
Ultimately, the study underscores how coffee—often seen as just a daily ritual—sits at the center of a complex economic web. Quality and geography act as the hidden levers of price dynamics, and the United States remains at the core of this network, both shaping and being shaped by the flows of risk. What emerges is a portrait of coffee not simply as a commodity, but as a global force whose market behavior reflects the broader challenges of interconnected economies.
