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Is information assimilated at announcements in the European carbon market?

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  • Chen, Jiayuan
  • Muckley, Cal B.
  • Bredin, Don

Abstract

We examine the high frequency new information impact on prices, volatility, trading volume and illiquidity at scheduled macroeconomic and verified emissions announcements for the European carbon futures market. Verified emissions, United States non-farm payroll and German new factory order macroeconomic announcements impact carbon prices swiftly, within 5min. We show that a one standard deviation surprise increase in verified emission announcements is associated with an approximate ten percentage point (9.96%) increase in carbon futures returns. A wait-and-see stylized trading behavior is evident at announcements in volatility and trading volumes. Market illiquidity increases at announcements in relation to United States non-farm payroll, albeit there is no evidence of an increase in illiquidity prior to announcements. The development of new information impact, over time, occurs mainly in the at-announcement 5-minute time interval.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:eneeco:v:63:y:2017:i:c:p:234-247
    DOI: 10.1016/j.eneco.2017.02.009
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    as
    1. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March.
    2. Kenneth A. Kavajecz, 1999. "A Specialist's Quoted Depth and the Limit Order Book," Journal of Finance, American Finance Association, vol. 54(2), pages 747-771, April.
    3. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    4. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    5. Tarun Chordia, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    6. Fischer, Andreas M. & Ranaldo, Angelo, 2011. "Does FOMC news increase global FX trading?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2965-2973, November.
    7. Rotfuß, Waldemar, 2009. "Intraday price formation and volatility in the European Union emissions trading scheme: an introductory analysis," ZEW Discussion Papers 09-018, ZEW - Leibniz Centre for European Economic Research.
    8. Ito, Takatoshi & Hashimoto, Yuko, 2006. "Intraday seasonality in activities of the foreign exchange markets: Evidence from the electronic broking system," Journal of the Japanese and International Economies, Elsevier, vol. 20(4), pages 637-664, December.
    9. de Bondt, Gabe & Dieden, Heinz Christian & Muzikarova, Sona & Vincze, Istvan, 2013. "Introducing the ECB indicator on euro area industrial new orders," Occasional Paper Series 149, European Central Bank.
    10. 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.
    11. 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.
    12. Elder, John & Miao, Hong & Ramchander, Sanjay, 2012. "Impact of macroeconomic news on metal futures," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 51-65.
    13. Cai, Fang & Howorka, Edward & Wongswan, Jon, 2008. "Informational linkages across trading regions: Evidence from foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1215-1243, December.
    14. repec:dau:papers:123456789/4210 is not listed on IDEAS
    15. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    16. 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.
    17. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    18. 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.
    19. Martin D. D. Evans & Richard K. Lyons, 2017. "How is Macro News Transmitted to Exchange Rates?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 14, pages 547-596, World Scientific Publishing Co. Pte. Ltd..
    20. de Bondt, Gabe & Dieden, Heinz Christian & Muzikarova, Sona & Vincze, Istvan, 2013. "Introducing the ECB indicator on euro area industrial new orders," Occasional Paper Series 149, European Central Bank.
    21. Rangel, José Gonzalo, 2011. "Macroeconomic news, announcements, and stock market jump intensity dynamics," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1263-1276, May.
    22. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, June.
    23. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    24. repec:dau:papers:123456789/4221 is not listed on IDEAS
    25. Charoenwong, Charlie & Chung, Kee H, 2000. "An Empirical Analysis of Quoted Depths of NYSE and Amex Stocks," Review of Quantitative Finance and Accounting, Springer, vol. 14(1), pages 85-102, January.
    26. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    27. Don Bredin & Gerard O’Reilly & Simon Stevenson, 2007. "Monetary Shocks and REIT Returns," The Journal of Real Estate Finance and Economics, Springer, vol. 35(3), pages 315-331, October.
    28. Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
    29. Kalaitzoglou, Iordanis & Ibrahim, Boulis M., 2013. "Does order flow in the European Carbon Futures Market reveal information?," Journal of Financial Markets, Elsevier, vol. 16(3), pages 604-635.
    30. Mizrach, Bruce & Otsubo, Yoichi, 2014. "The market microstructure of the European climate exchange," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 107-116.
    31. 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.
    32. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    33. Bredin, Don & Hyde, Stuart & Muckley, Cal, 2014. "A microstructure analysis of the carbon finance market," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 222-234.
    34. Andersen, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2007. "Real-time price discovery in global stock, bond and foreign exchange markets," Journal of International Economics, Elsevier, vol. 73(2), pages 251-277, November.
    35. Bredin, Don & Muckley, Cal, 2011. "An emerging equilibrium in the EU emissions trading scheme," Energy Economics, Elsevier, vol. 33(2), pages 353-362, March.
    36. Goyenko, Ruslan Y. & Holden, Craig W. & Trzcinka, Charles A., 2009. "Do liquidity measures measure liquidity?," Journal of Financial Economics, Elsevier, vol. 92(2), pages 153-181, May.
    37. Brenner, Menachem & Pasquariello, Paolo & Subrahmanyam, Marti, 2009. "On the Volatility and Comovement of U.S. Financial Markets around Macroeconomic News Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(6), pages 1265-1289, December.
    38. Bomfim, Antulio N., 2003. "Pre-announcement effects, news effects, and volatility: Monetary policy and the stock market," Journal of Banking & Finance, Elsevier, vol. 27(1), pages 133-151, January.
    39. Mark J. Flannery & Aris A. Protopapadakis, 2002. "Macroeconomic Factors Do Influence Aggregate Stock Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 751-782.
    40. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    41. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
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    More about this item

    Keywords

    Carbon trading; Market microstructure; Public information announcements; Information assimilation;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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