Paper: arXiv 2408.06497

Authors: Nicola Borri, Yukun Liu, Aleh Tsyvinski, Xi Wu

Abstract

The European Union Emission Trading System is a prominent market-based mechanism to reduce emissions. While the theory is well understood, we are the first to study the whole cap-and-trade mechanism as a financial market. Analyzing the universe of transactions in 2005-2020 (more than one million records of granular transaction data), we show that this market features significant inefficiencies undermining its goals. First, about 40% of firms never trade in a given year. Second, many firms only trade during surrendering months, when compliance is immediate and prices are predictably high. Third, a number of operators engage in speculative trading, exploiting private information.

Complexity vs Empirical Score

  • Math Complexity: 3.0/10
  • Empirical Rigor: 8.5/10
  • Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper relies on straightforward empirical metrics and linear return predictability regressions rather than heavy theoretical math, placing it in low math complexity. However, its empirical rigor is high, analyzing over a million granular transactions from the EUTL dataset (2005-2020) to uncover structural market inefficiencies and speculative behavior in carbon trading.

Research Flowchart

  flowchart TD
    A[Research Goal: Evaluate EU ETS Cap-and-Trade Market Efficiency] --> B[Data Input: 1M+ Granular Transactions 2005–2020]
    B --> C[Methodology: Comprehensive Financial Market Analysis]
    C --> D[Computational Processing: Trade Timing, Firm Participation & Speculation Patterns]
    D --> E[Finding 1: ~40% of firms never trade annually]
    D --> F[Finding 2: Clustering of trades in high-price compliance months]
    D --> G[Finding 3: Speculative trading leveraging private information]

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0 of 67 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.