Trading Frictions in Dynamic Cap-and-Trade Markets

Battle Count: 85

The paper is highly relevant to quantitative trading in carbon markets specifically. It documents that operator flow imbalance predicts EUA returns up to 12 months ahead (coefficients increasing from 0.039 to 0.565), with predictive content concentrated among frequent traders. The April premium (~10% average return) and the ~€5 billion implied premium paid by delayed buyers represent exploitable patterns. The model provides structural interpretation for why these patterns persist (endogenous access frictions, limited intermediation). However, the paper focuses on market design and policy rather than trading strategy development, and the EU ETS is a regulated market with specific institutional constraints.

The continuous-time model involves solving a fixed-point equation π_A = φD_A(π_A) where D_A depends on Lambert W functions of the equilibrium premium. The calibration requires constructing firm-specific access intensity estimates from trading frequency data, computing model-implied terminal demand, and estimating return-impact sensitivity from noisy annual data. The empirical analysis involves processing 2.7 million registry transactions, constructing Operator Flow Imbalance measures, and running long-horizon predictive regressions with Newey-West corrections. The theoretical proofs require careful handling of the Lambert W function properties and implicit function theorem applications.

The paper uses publicly available EU ETS registry data from the European Union Transaction Log (EUTL), accessible via https://ec.europa.eu/clima/ets/ and tools at https://www.euets.info. The model is analytically tractable with closed-form solutions (Lambert W function). Full derivations and proofs are provided in the Online Appendix. Calibration procedures are detailed in Appendix A.6. However, no code repository is explicitly mentioned, and some reduced-form calibration choices require judgment.