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Trade, equilibrium prices and rents in European auctions for emission allowances

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  • Bruno Bosco

    (DEMS University of Milan-Bicocca)

Abstract

This paper analyzes the price behavior of Phase III (2013–2020) EU-ETS emission allowances of CO2 by focusing on the dynamics of daily auction equilibrium prices and on the changes of the volatility of the underlying stochastic process. The paper derives the main testable statistical hypotheses (particularly that about the determinants of the conditional variance of prices) on the results derived in a model of optimal bidders’ behavior given the ETS auction rules. Tests are conducted by estimating various versions of GARCH models for both mean and variance equations of price return. Results show that the price dynamics is affected by factors including a measure of excess demand/offer and the number of winning bidders and that, contrary to expectations, reforms of the auction rules introduced at the end of Phase III explain a great part of the increased price volatility. The increased volatility is also positively associated with the bid spread and negatively associated with the number of bidders active in each auction round.

Suggested Citation

  • Bruno Bosco, 2023. "Trade, equilibrium prices and rents in European auctions for emission allowances," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(1), pages 87-113, January.
  • Handle: RePEc:spr:envpol:v:25:y:2023:i:1:d:10.1007_s10018-022-00344-y
    DOI: 10.1007/s10018-022-00344-y
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    References listed on IDEAS

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    1. de Perthuis, Christian & Trotignon, Raphael, 2014. "Governance of CO2 markets: Lessons from the EU ETS," Energy Policy, Elsevier, vol. 75(C), pages 100-106.
    2. Cramton, Peter & Kerr, Suzi, 2002. "Tradeable carbon permit auctions: How and why to auction not grandfather," Energy Policy, Elsevier, vol. 30(4), pages 333-345, March.
    3. Lawrence M. Ausubel & Peter Cramton & Marek Pycia & Marzena Rostek & Marek Weretka, 2014. "Demand Reduction and Inefficiency in Multi-Unit Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1366-1400.
    4. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    5. Corjan Brink & Herman R.J. Vollebergh, 2020. "What Can We Learn from EU ETS?," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 18(01), pages 23-29, April.
    6. Stephen G. Donald & Harry J. Paarsch & Jacques Robert, 2006. "An empirical model of the multi‐unit, sequential, clock auction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1221-1247, December.
    7. repec:dau:papers:123456789/13539 is not listed on IDEAS
    8. Crawford, Gregory S. & Crespo, Joseph & Tauchen, Helen, 2007. "Bidding asymmetries in multi-unit auctions: Implications of bid function equilibria in the British spot market for electricity," International Journal of Industrial Organization, Elsevier, vol. 25(6), pages 1233-1268, December.
    9. Ashwin Rode, 2021. "Rent Seeking over Tradable Emission Permits," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(2), pages 257-285, February.
    10. Paul Leiby & Jonathan Rubin, 2001. "Intertemporal Permit Trading for the Control of Greenhouse Gas Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(3), pages 229-256, July.
    11. Bruno Bosco, Lucia Parisio and Matteo Pelagatti, 2016. "Price coordination in vertically integrated electricity markets. Theory and empirical evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    12. Bruno Bosco, 2020. "Auctioning C02 Emission Allowances in Europe. A Time Series Analysis of Equilibrium Prices," Working Papers 448, University of Milano-Bicocca, Department of Economics.
    13. Parisio, Lucia & Bosco, Bruno, 2003. "Market Power and the Power Market: Multi-unit Bidding and (In)Efficiency in Electricity Auctions," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 10(4), pages 377-401, August.
    14. Bruno Bosco & Lucia Parisio & Matteo Pelagatti & Fabio Baldi, 2010. "Long-run relations in european electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 805-832.
    15. Robert Wilson, 1979. "Auctions of Shares," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(4), pages 675-689.
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    More about this item

    Keywords

    EU-ETS emission auctions; Equilibrium prices volatility; GARCH models;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

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