IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v40y2019i1_supplp5-28.html
   My bibliography  Save this article

Could Market Making be Profitable in The European Carbon Market?

Author

Listed:
  • Emilios Galariotis
  • Iordanis Kalaitzoglou
  • Kyriaki Kosmidou
  • Spiros Papaefthimiou
  • Spyros I. Spyrou

Abstract

We investigate when market making can be profitable in the European Carbon Futures market, by developing an order type selection rule, based solely on transaction level data. We employ a granular approach that uses an observable variable, i.e. trading intensity, to extract the liquidity and information price components and we investigate their impact on spreads, volatility and ultimately on the profitability of different order types. We find that market orders are always less profitable than limit orders. In addition, market makers are expected to derive most of their profits in a low trading intensity environment, mainly due to higher liquidity commissions and a lower probability of dealing with better informed agents. In contrast, an unconditional limit order submission strategy from an off-floor trader should not be preferred, apart from a medium trading intensity environment, where information and liquidity premia adequately compensate them for execution and information risk.

Suggested Citation

  • Emilios Galariotis & Iordanis Kalaitzoglou & Kyriaki Kosmidou & Spiros Papaefthimiou & Spyros I. Spyrou, 2019. "Could Market Making be Profitable in The European Carbon Market?," The Energy Journal, , vol. 40(1_suppl), pages 5-28, June.
    • Handle: RePEc:sae:enejou:v:40:y:2019:i:1_suppl:p:5-28
    DOI: 10.5547/01956574.40.SI1.egal
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.40.SI1.egal
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.40.SI1.egal?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peterson, Mark & Sirri, Erik, 2002. "Order Submission Strategy and the Curious Case of Marketable Limit Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(2), pages 221-241, June.
    2. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010. "Limit-order submission strategies under asymmetric information," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
    2. Alessandro Beber & Cecilia Caglio, 2005. "Order Submission Strategies and Information: Empirical Evidence from the NYSE," FAME Research Paper Series rp146, International Center for Financial Asset Management and Engineering.
    3. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2023. "Market conditions and order-type preference," International Review of Financial Analysis, Elsevier, vol. 87(C).
    4. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    5. Senn, Erik-Jan, 2020. "Measuring the Impact of MiFID II on Information Asymmetries Using Microstructure Models," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(2), pages 197-208.
    6. Mizrach, Bruce & Otsubo, Yoichi, 2014. "The market microstructure of the European climate exchange," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 107-116.
    7. Brown, Stephen & Hillegeist, Stephen A. & Lo, Kin, 2009. "The effect of earnings surprises on information asymmetry," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 208-225, June.
    8. Thomas Henker & Martin Martens, 2010. "Spread decomposition with common spread components," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 6(2), pages 88-115, April.
    9. Christiane Goodfellow & Martin T. Bohl, 2011. "Forestalling Floor Closure: Evidence from a Natural Experiment on the German Stock Market," Post-Print hal-00676103, HAL.
    10. Umut c{C}etin & Albina Danilova, 2014. "Markovian Nash equilibrium in financial markets with asymmetric information and related forward-backward systems," Papers 1407.2420, arXiv.org, revised Sep 2016.
    11. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    12. Kim, Sukwon Thomas & Stoll, Hans R., 2014. "Are trading imbalances indicative of private information?," Journal of Financial Markets, Elsevier, vol. 20(C), pages 151-174.
    13. Philippe Bergault & Olivier Gu'eant, 2023. "Liquidity Dynamics in RFQ Markets and Impact on Pricing," Papers 2309.04216, arXiv.org, revised Jun 2024.
    14. de Jong, Frank & Nijman, Theo & Roell, Ailsa, 1996. "Price effects of trading and components of the bid-ask spread on the Paris Bourse," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 193-213, June.
    15. Behnam Karamshahi & Zeinab Azami & Tabandeh Salehi, 2018. "The association between competition power in markets and tax avoidance: evidence from Tehran stock exchange," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(3), pages 323-339, September.
    16. Christoph Kuhn & Johannes Muhle-Karbe, 2013. "Optimal Liquidity Provision," Papers 1309.5235, arXiv.org, revised Feb 2015.
    17. Rannou, Yves, 2019. "Limit order books, uninformed traders and commodity derivatives: Insights from the European carbon futures," Economic Modelling, Elsevier, vol. 81(C), pages 387-410.
    18. Pascual, Roberto, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    19. Li, M. Z. & Linton, O., 2021. "Robust Estimation of Integrated and Spot Volatility," Cambridge Working Papers in Economics 2115, Faculty of Economics, University of Cambridge.
    20. Ying Chen & Ulrich Horst & Hoang Hai Tran, 2019. "Portfolio liquidation under transient price impact -- theoretical solution and implementation with 100 NASDAQ stocks," Papers 1912.06426, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:enejou:v:40:y:2019:i:1_suppl:p:5-28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.