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Emission permits and the announcement of realized emissions: Price impact, trading volume, and volatilities

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  • Hitzemann, Steffen
  • Uhrig-Homburg, Marliese
  • Ehrhart, Karl-Martin

Abstract

This paper investigates the impact of the yearly announcement of realized emissions on the European carbon permit market. We find that this event generally leads to significant absolute abnormal returns on the event day, which are accompanied by increased trading volumes and high intraday volatilities. To the contrary, trading is particularly calm on the days before the event, as suggested by significantly lower trading volumes and volatilities. The high event-day volatility is expected by the market and incorporated in emission permit option prices. In line with these significant market reactions, we provide evidence that the emissions announcement has an outstanding information content for the market compared to other relevant news events.

Suggested Citation

  • Hitzemann, Steffen & Uhrig-Homburg, Marliese & Ehrhart, Karl-Martin, 2015. "Emission permits and the announcement of realized emissions: Price impact, trading volume, and volatilities," Energy Economics, Elsevier, vol. 51(C), pages 560-569.
  • Handle: RePEc:eee:eneeco:v:51:y:2015:i:c:p:560-569
    DOI: 10.1016/j.eneco.2015.07.007
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    as
    1. Mark Britten‐Jones & Anthony Neuberger, 2000. "Option Prices, Implied Price Processes, and Stochastic Volatility," Journal of Finance, American Finance Association, vol. 55(2), pages 839-866, April.
    2. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    3. Jones, Charles M. & Lamont, Owen & Lumsdaine, Robin L., 1998. "Macroeconomic news and bond market volatility," Journal of Financial Economics, Elsevier, vol. 47(3), pages 315-337, March.
    4. Chevallier, Julien & Ielpo, Florian & Mercier, Ludovic, 2009. "Risk aversion and institutional information disclosure on the European carbon market: A case-study of the 2006 compliance event," Energy Policy, Elsevier, vol. 37(1), pages 15-28, January.
    5. repec:dau:papers:123456789/4221 is not listed on IDEAS
    6. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    7. Ajinkya, Bipin B. & Jain, Prem C., 1989. "The behavior of daily stock market trading volume," Journal of Accounting and Economics, Elsevier, vol. 11(4), pages 331-359, November.
    8. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Ebens, Heiko, 2001. "The distribution of realized stock return volatility," Journal of Financial Economics, Elsevier, vol. 61(1), pages 43-76, July.
    9. Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012. "Modeling and explaining the dynamics of European Union Allowance prices at high-frequency," Energy Economics, Elsevier, vol. 34(1), pages 316-326.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Bamber, Ls, 1986. "The Information-Content Of Annual Earnings Releases - A Trading Volume Approach," Journal of Accounting Research, Wiley Blackwell, vol. 24(1), pages 40-56.
    12. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    13. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    14. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    15. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    16. Rittler, Daniel, 2012. "Price discovery and volatility spillovers in the European Union emissions trading scheme: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 774-785.
    17. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    18. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    19. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    20. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    21. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.
    22. Ray Ball & Lakshmanan Shivakumar, 2008. "How Much New Information Is There in Earnings?," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 975-1016, December.
    23. Philippe Gregoire & Mathieu Boucher, 2008. "Maturity effect and storage announcements: the case of natural gas," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 1(1), pages 21-29.
    24. Ederington, Louis H. & Lee, Jae Ha, 1996. "The Creation and Resolution of Market Uncertainty: The Impact of Information Releases on Implied Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(4), pages 513-539, December.
    25. Scott C. Linn & Zhen Zhu, 2004. "Natural gas prices and the gas storage report: Public news and volatility in energy futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(3), pages 283-313, March.
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    Citations

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    Cited by:

    1. Thijs Benschop & Brenda López Cabrera, 2017. "Realized volatility of CO2 futures," SFB 649 Discussion Papers SFB649DP2017-025, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Anouk Faure & Marc Baudry, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers hal-04159764, HAL.
    3. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    4. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    5. Marina Friedrich & S'ebastien Fries & Michael Pahle & Ottmar Edenhofer, 2019. "Understanding the explosive trend in EU ETS prices -- fundamentals or speculation?," Papers 1906.10572, arXiv.org, revised Mar 2020.
    6. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 196150, ZBW - Leibniz Information Centre for Economics, revised 2020.
    7. Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    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.

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    More about this item

    Keywords

    Emission permits; Announcement effects; EU ETS;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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