Disentangling supply and demand shocks in the EU ETS – before and after the introduction of the market stability reserve

  • This paper employs a Structural Vector Autoregressive (SVAR) model to analyze the impact of supply and demand shocks on European emission allowance (EUA) prices. We decompose EUA price changes into five components: (1) policy surprises, identified through a high-frequency approach, (2) demand shocks driven by economic activity, (3) shocks to the electricity sector's expected demand linked to fossil fuel price fluctuations, (4) shocks to the electricity sector's realized demand, measured using a novel metric based on electricity generation data, and (5) market-specific shocks, primarily reflecting precautionary demand driven by expectations of future policy tightening. Our results show that all these shocks significantly impact EUA prices. However, post-2019, the introduction of the Market Stability Reserve (MSR), which tackled excessive oversupply in the system, decreased the influence of policy interventions and precautionary shocks, aligning EUA prices more closely with the otherThis paper employs a Structural Vector Autoregressive (SVAR) model to analyze the impact of supply and demand shocks on European emission allowance (EUA) prices. We decompose EUA price changes into five components: (1) policy surprises, identified through a high-frequency approach, (2) demand shocks driven by economic activity, (3) shocks to the electricity sector's expected demand linked to fossil fuel price fluctuations, (4) shocks to the electricity sector's realized demand, measured using a novel metric based on electricity generation data, and (5) market-specific shocks, primarily reflecting precautionary demand driven by expectations of future policy tightening. Our results show that all these shocks significantly impact EUA prices. However, post-2019, the introduction of the Market Stability Reserve (MSR), which tackled excessive oversupply in the system, decreased the influence of policy interventions and precautionary shocks, aligning EUA prices more closely with the other demand-side factors. While only 33.5% of the variance in EUA prices can be attributed to the three real-time demand shocks before 2019, this figure almost doubled to 58.4% after the MSR's introduction. This shift suggests that a mechanism to address oversupply can be a crucial step towards achieving a more efficient, real-time demand-driven carbon pricing in emissions trading systems.show moreshow less

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Metadaten
Author:Andreas MaulbergerGND, Andreas W. RathgeberORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1302774
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/130277
ISSN:0928-7655OPAC
Parent Title (English):Resource and Energy Economics
Publisher:Elsevier
Place of publication:Amsterdam
Type:Article
Language:English
Year of first Publication:2026
Publishing Institution:Universität Augsburg
Release Date:2026/05/11
Volume:87
First Page:101575
DOI:https://doi.org/10.1016/j.reseneeco.2026.101575
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Materials Resource Management / Professur für Applied Data Analysis
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung