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Assessing price clustering in European Carbon Markets

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  • Palao, Fernando
  • Pardo, Angel

Abstract

The presence of price clustering in markets is taken as a sign of market inefficiency that can influence trading strategies. In this paper, we study the presence of a concentration in prices in carbon futures markets. Specifically, we analyze the European Carbon Futures Markets and test for evidence of preference for certain prices above others. Our results reveal the strong presence of price clustering in the carbon market at prices ending in digits 0 and 5. These findings support the attraction hypothesis, which endorses a significant clustering on gravitational prices, but also backs the negotiation hypothesis, which advocates greater clustering when trading costs are higher.

Suggested Citation

  • Palao, Fernando & Pardo, Angel, 2012. "Assessing price clustering in European Carbon Markets," Applied Energy, Elsevier, vol. 92(C), pages 51-56.
    • Handle: RePEc:eee:appene:v:92:y:2012:i:c:p:51-56
    DOI: 10.1016/j.apenergy.2011.10.022
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    Cited by:

    1. repec:eee:eneeco:v:67:y:2017:i:c:p:213-223 is not listed on IDEAS
    2. Fernando Palao & Ángel Pardo Tornero, 2012. "When size matters: Clustering in the European Carbon Market," Working Papers. Serie EC 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Jia, Jun-Jun & Xu, Jin-Hua & Fan, Ying, 2016. "The impact of verified emissions announcements on the European Union emissions trading scheme: A bilaterally modified dummy variable modelling analysis," Applied Energy, Elsevier, vol. 173(C), pages 567-577.
    4. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    5. Andreas Karpf & Antoine Mandel & Stefano Battiston, 2017. "Price and Network Dynamics in the European Carbon Market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01484117, HAL.
    6. Lucia, Julio J. & Mansanet-Bataller, Maria & Pardo, Ángel, 2015. "Speculative and hedging activities in the European carbon market," Energy Policy, Elsevier, vol. 82(C), pages 342-351.
    7. Dowling, Michael & Cummins, Mark & Lucey, Brian M., 2016. "Psychological barriers in oil futures markets," Energy Economics, Elsevier, vol. 53(C), pages 293-304.
    8. Martin T. Bohl, Pierre Siklos, Claudia Wellenreuther, 2018. "Speculative Activity and Returns to Volatility of Chinese Major Agricultural Commodity Futures," LCERPA Working Papers 0111, Laurier Centre for Economic Research and Policy Analysis, revised 30 Jan 2018.
    9. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    10. Yanjie Zhu & Les Oxley & Hengyun Ma & Wenchao Wang, 2016. "The emergence of convergent price clusters in China," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(1), pages 69-98, January.
    11. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.
    12. Abdul-Manan, Amir F.N. & Arfaj, Abdullah & Babiker, Hassan, 2017. "Oil refining in a CO2 constrained world: Effects of carbon pricing on refineries globally," Energy, Elsevier, vol. 121(C), pages 264-275.
    13. Tan, Xue-Ping & Wang, Xin-Yu, 2017. "Dependence changes between the carbon price and its fundamentals: A quantile regression approach," Applied Energy, Elsevier, vol. 190(C), pages 306-325.
    14. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    15. 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.

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    Keywords

    Clustering; Price; EUA; ECX;

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