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Carbon trading thickness and market efficiency

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  • Montagnoli, Alberto
  • de Vries, Frans P.

Abstract

This note tests for the efficient market hypothesis (EMH) in the market for CO2 emission allowances in Phase I and Phase II of the European Union Emissions Trading Scheme (EU ETS). As usually is the case in emerging and non-competitive markets such as the EU ETS, trading often not occurs on a frequent basis. This has adverse implications for both the gains from permit trade as well as biases the EMH tests. Variance ratio tests are employed to adjust for the thin trading effect. The results indicate that Phase I--the trial and learning period--was inefficient, whereas the first period under Phase II shows signs of restoring market efficiency.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 32 (2010)
Issue (Month): 6 (November)
Pages: 1331-1336

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Handle: RePEc:eee:eneeco:v:32:y:2010:i:6:p:1331-1336

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Web page: http://www.elsevier.com/locate/eneco

Related research

Keywords: Carbon trading Efficient market hypothesis Thin trading Variance ratio tests EU ETS;

References

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Citations

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Cited by:
  1. Sabbaghi, Omid & Sabbaghi, Navid, 2011. "Carbon Financial Instruments, thin trading, and volatility: Evidence from the Chicago Climate Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 399-407.
  2. Lutz, Benjamin Johannes & Pigorsch, Uta & Rotfuß, Waldemar, 2013. "Nonlinearity in cap-and-trade systems: The EUA price and its fundamentals," ZEW Discussion Papers 13-001 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Kimmo Ollikka & Piia Aatola & Markku Ollikainen, 2012. "Informational Efficiency of the EU ETS market ? a study of price predictability and profitable trading," Working Papers 28, Government Institute for Economic Research Finland (VATT).
  4. Peter S. Schmidt & Therese Werner, 2012. "Channeling the final Say in Politics," CER-ETH Economics working paper series 12/165, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
  5. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
  6. Matthew Ranson & Robert N. Stavins, 2012. "Post-Durban Climate Policy Architecture Based on Linkage of Cap-and-Trade Systems," Working Papers 2012.43, Fondazione Eni Enrico Mattei.
  7. Bangzhu Zhu, 2012. "A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network," Energies, MDPI, Open Access Journal, vol. 5(2), pages 355-370, February.
  8. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.
  9. Omid Sabbaghi & Navid Sabbaghi, 2014. "An empirical analysis of the Carbon Financial Instrument," Journal of Economics and Finance, Springer, vol. 38(2), pages 209-234, April.
  10. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.

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