Understanding Carbon Trade Dynamics: A European Union Emissions Trading System Perspective
Avirup Chakraborty

TL;DR
This paper empirically analyzes the EU Emissions Trading System, revealing market inefficiencies, structural dominance by few actors, and unusual price-volume relationships that suggest room for policy improvements.
Contribution
It provides a comprehensive empirical and network analysis of the EU ETS, uncovering market concentration, predictability, and atypical elasticities that highlight systemic inefficiencies.
Findings
Approximately 60% directional accuracy in price prediction.
Market dominated by few registries with disproportionate influence.
Positive price elasticities exceeding unity in several cases.
Abstract
The European Union Emissions Trading System (EU ETS), the world's first and largest cap-and-trade carbon market, is a cornerstone of EU climate policy. This study provides a comprehensive empirical analysis of the EU carbon market's efficiency, price dynamics, and structural network from 2010 to 2020. First, we identify significant price clustering and short-term return predictability using an AR-GARCH model, achieving around 60 percent directional accuracy and a 80 percent hit rate within forecasted confidence intervals. These observed patterns motivate a deeper exploration of market structure. Second, leveraging this insight, a weighted network analysis of inter-country transactions uncovers a concentrated market where a few registries dominate high-value flows and exert disproportionate influence. Finally, building upon the network findings, country-specific log-log regressions of…
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