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EUAs and CERs: Interactions in a Markov regime-switching environment

Author

Listed:
  • Julien Chevallier

    (University Paris Dauphine)

Abstract

This paper analyzes jointly the time series of European Union Allowances (EUAs) and Certified Emissions Reductions (CERs) in a Markov regime-switching environment. The purpose consists in capturing the interactions between the two time series - which have been highlighted in previous literature - with respect to the underlying business cycle. Given the recent period of economic growth and financial crisis, regime switching models appear indeed interesting to shed new light on the data. The main result of the paper features a switch from a low-growth period to a high-growth period in July 2009, in a context of timid economic recovery. Besides, the Markov regime-switching model reveals that significant interactions exist between EUAs (during expansions and recessions) and CERs (mostly during expansions). Colletively, these results could be of use to regulatory authorities, academics and financial agents (investment bankers, analysts, asset managers).

Suggested Citation

  • Julien Chevallier, 2012. "EUAs and CERs: Interactions in a Markov regime-switching environment," Economics Bulletin, AccessEcon, vol. 32(1), pages 86-101.
    • Handle: RePEc:ebl:ecbull:eb-11-00422
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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I1-P10.pdf
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    References listed on IDEAS

    as
    1. Ang, Andrew & Bekaert, Geert, 2002. "Regime Switches in Interest Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 163-182, April.
    2. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    3. repec:dau:papers:123456789/4226 is not listed on IDEAS
    4. Mansanet-Bataller, Maria & Chevallier, Julien & Hervé-Mignucci, Morgan & Alberola, Emilie, 2011. "EUA and sCER phase II price drivers: Unveiling the reasons for the existence of the EUA-sCER spread," Energy Policy, Elsevier, vol. 39(3), pages 1056-1069, March.
    5. repec:ebl:ecbull:v:30:y:2010:i:1:p:558-576 is not listed on IDEAS
    6. Julien Chevallier, 2010. "EUAs and CERs: Vector Autoregression, Impulse Response Function and Cointegration Analysis," Economics Bulletin, AccessEcon, vol. 30(1), pages 558-576.
    7. Chan, Kam Fong & Treepongkaruna, Sirimon & Brooks, Robert & Gray, Stephen, 2011. "Asset market linkages: Evidence from financial, commodity and real estate assets," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1415-1426, June.
    8. Massimo Guidolin & Allan Timmermann, 2006. "An econometric model of nonlinear dynamics in the joint distribution of stock and bond returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 1-22, January.
    9. Julien Chevallier, 2011. "Anticipating correlations between EUAs and CERs: a Dynamic Conditional Correlation GARCH model," Economics Bulletin, AccessEcon, vol. 31(1), pages 255-272.
    10. Bradley, Michael D. & Jansen, Dennis W., 2004. "Forecasting with a nonlinear dynamic model of stock returns and industrial production," International Journal of Forecasting, Elsevier, vol. 20(2), pages 321-342.
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    Citations

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    Cited by:

    1. Beat Hintermann & Marc Gronwald, 2019. "Linking with Uncertainty: The Relationship Between EU ETS Pollution Permits and Kyoto Offsets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 761-784, October.
    2. Marc Gronwald & Beat Hintermann, 2016. "Explaining the EUA-CER Spread," CESifo Working Paper Series 5795, CESifo.

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    More about this item

    Keywords

    EUA; CER; Markov regime-switching;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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