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Assessing price clustering in European Carbon Markets

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  • Palao, Fernando
  • Pardo, Angel
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    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0306261911006763
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    Article provided by Elsevier in its journal Applied Energy.

    Volume (Year): 92 (2012)
    Issue (Month): C ()
    Pages: 51-56

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    Handle: RePEc:eee:appene:v:92:y:2012:i:c:p:51-56
    DOI: 10.1016/j.apenergy.2011.10.022
    Contact details of provider: Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description

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    Keywords: Clustering; Price; EUA; ECX;

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    4. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
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    10. Julio Lucia & Angel Pardo, 2010. "On measuring speculative and hedging activities in futures markets from volume and open interest data," Applied Economics, Taylor & Francis Journals, vol. 42(12), pages 1549-1557.
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    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    9. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    10. 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.
    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. 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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