IDEAS home Printed from https://ideas.repec.org/a/taf/quantf/v13y2013i4p637-653.html
   My bibliography  Save this article

Is the EUA a new asset class?

Author

Listed:
  • Vicente Medina
  • Angel Pardo

Abstract

The listing of a new asset requires knowledge of its statistical properties prior to its use for hedging, speculative or risk management purposes. In this paper, the authors study the stylised facts of European Union Allowances (EUAs) returns. The majority of the phenomena observed, such as heavy tails, volatility clustering, asymmetric volatility and the presence of a high number of outliers are similar to those observed in both commodity futures and financial assets. However, properties such as negative asymmetry, positive correlation with stocks indexes and higher volatility levels during the trading session, typical of financial assets, and the existence of inflation hedge and positive correlation with bonds, typical of commodity futures, are also detected. Therefore, our results indicate that EUAs returns do not behave like common commodity futures or financial assets, and point to the fact that EUAs are a new asset class.

Suggested Citation

  • Vicente Medina & Angel Pardo, 2013. "Is the EUA a new asset class?," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 637-653, March.
  • Handle: RePEc:taf:quantf:v:13:y:2013:i:4:p:637-653
    DOI: 10.1080/14697688.2012.691985
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14697688.2012.691985
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14697688.2012.691985?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen J Taylor, 2007. "Modelling Financial Time Series," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6578, August.
    2. Borak, Szymon & Härdle, Wolfgang Karl & Trück, Stefan & Weron, Rafał, 2006. "Convenience yields for CO2 emission allowance futures contracts," SFB 649 Discussion Papers 2006-076, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Marc Chesney & Luca Taschini, 2012. "The Endogenous Price Dynamics of Emission Allowances and an Application to CO 2 Option Pricing," Applied Mathematical Finance, Taylor & Francis Journals, vol. 19(5), pages 447-475, November.
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saeed, Asif & Chaudhry, Sajid M. & Arif, Ahmed & Ahmed, Rizwan, 2023. "Spillover of energy commodities and inflation in G7 plus Chinese economies," Energy Economics, Elsevier, vol. 127(PA).
    2. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    3. Lakatos, Mária & Karai, Éva, 2015. "Buy or Sell? Hungarian Carbon Credit Trade: Years of Learning," Public Finance Quarterly, Corvinus University of Budapest, vol. 60(3), pages 326-341.
    4. Dai, Xingyu & Xiao, Ling & Wang, Qunwei & Dhesi, Gurjeet, 2021. "Multiscale interplay of higher-order moments between the carbon and energy markets during Phase III of the EU ETS," Energy Policy, Elsevier, vol. 156(C).
    5. Nikolay Khabarov & Ruben Lubowski & Andrey Krasovskii & Michael Obersteiner, 2019. "Flobsion—Flexible Option with Benefit Sharing," IJFS, MDPI, vol. 7(2), pages 1-16, April.
    6. Pardo, Ángel, 2021. "Carbon and inflation," Finance Research Letters, Elsevier, vol. 38(C).
    7. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. repec:crb:wpaper:2023-01 is not listed 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. Vicente Medina Martínez & Ángel Pardo Tornero, 2012. "Stylized facts of CO2 returns," Working Papers. Serie AD 2012-14, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2017. "Stochastic volatility of the futures prices of emission allowances: A Bayesian approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 714-724.
    3. Dorota Ciesielska-Maciągowska & Dawid Klimczak & Małgorzata Skrzek-Lubasińska, 2021. "Central and Eastern European CO 2 Market—Challenges of Emissions Trading for Energy Companies," Energies, MDPI, vol. 14(4), pages 1-14, February.
    4. Grüll, Georg & Taschini, Luca, 2011. "Cap-and-trade properties under different hybrid scheme designs," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 107-118, January.
    5. Veith, Stefan & Werner, Jörg R. & Zimmermann, Jochen, 2009. "Capital market response to emission rights returns: Evidence from the European power sector," Energy Economics, Elsevier, vol. 31(4), pages 605-613, July.
    6. Julien Chevallier & Benoît Sévi, 2014. "On the Stochastic Properties of Carbon Futures Prices," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 127-153, May.
    7. Rotfuß, Waldemar & Conrad, Christian & Rittler, Daniel, 2009. "The European Commission and EUA prices: a high-frequency analysis of the EC's decisions on second NAPs," ZEW Discussion Papers 09-045, ZEW - Leibniz Centre for European Economic Research.
    8. Park, Byeong U. & Mammen, Enno & Härdle, Wolfgang & Borak, Szymon, 2009. "Time Series Modelling With Semiparametric Factor Dynamics," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 284-298.
    9. Julien Chevallier, 2010. "Modelling the convenience yield in carbon prices using daily and realized measures," Working Papers halshs-00463921, HAL.
    10. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    11. Leon Vinokur, 2009. "Disposition in the Carbon Market and Institutional Constraints," Working Papers 652, Queen Mary University of London, School of Economics and Finance.
    12. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2011. "Testing the martingale difference hypothesis in CO2 emission allowances," Economic Modelling, Elsevier, vol. 28(1-2), pages 27-35, January.
    13. repec:dau:papers:123456789/4237 is not listed on IDEAS
    14. Estelle Cantillon & Aurélie Slechten, 2018. "Information Aggregation in Emissions Markets with Abatement," Annals of Economics and Statistics, GENES, issue 132, pages 53-79.
    15. Maria Mansanet-Bataller, 2011. "CO2 Prices and Portfolio Management during Phase II of the EU ETS," Working Papers 1101, Chaire Economie du climat.
    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. Sato, Kimitoshi & Sawaki, Katsushige, 2013. "A continuous-time dynamic pricing model knowing the competitor’s pricing strategy," European Journal of Operational Research, Elsevier, vol. 229(1), pages 223-229.
    18. Dongmei Guo & Yi Hu & Bingjie Zhang, 2014. "Carbon Market Regulation Mechanism Research Based on Carbon Accumulation Model with Jump Diffusion," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-7, May.
    19. Anders Eriksson & Daniel P. A. Preve & Jun Yu, 2019. "Forecasting Realized Volatility Using a Nonnegative Semiparametric Model," JRFM, MDPI, vol. 12(3), pages 1-23, August.
    20. Yue-Jun Zhang, 2016. "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 89-107.
    21. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.

    More about this item

    Statistics

    Access and download statistics

    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:taf:quantf:v:13:y:2013:i:4:p:637-653. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RQUF20 .

    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.