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Evaluating Emission Trading as a Policy Tool - Evidence from Conditional Jump Models

Author

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  • Marc Gronwald
  • Janina Ketterer

Abstract

This paper, first, empirically investigates European emission allowance (EUA) prices and, second, evaluates emission trading as a policy measure. Applying combined jump GARCH models yields strong evidence of conditional jump behavior. This implies that EUA prices are subject to unexpected movements and that a considerable degree of uncertainty is present. According to the real option literature, uncertainty has adverse effects on investment decisions. Thus, investments in abatement technologies are likely to be postponed due to the peculiar characteristics of emission allowance prices. Furthermore, this price behavior is at odds with the theoretical notion that emission prices equal marginal abatement costs.

Suggested Citation

  • Marc Gronwald & Janina Ketterer, 2009. "Evaluating Emission Trading as a Policy Tool - Evidence from Conditional Jump Models," CESifo Working Paper Series 2682, CESifo Group Munich.
  • Handle: RePEc:ces:ceswps:_2682
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    File URL: http://www.cesifo-group.de/DocDL/cesifo1_wp2682.pdf
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    References listed on IDEAS

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    1. Pindyck, Robert S, 1981. " The Optimal Production of an Exhaustible Resource When Price is Exogenous and Stochastic," Scandinavian Journal of Economics, Wiley Blackwell, vol. 83(2), pages 277-288.
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    4. Pindyck, Robert S., 2000. "Irreversibilities and the timing of environmental policy," Resource and Energy Economics, Elsevier, vol. 22(3), pages 233-259, July.
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    6. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    7. Margaret Insley, 2003. "On the option to invest in pollution control under a regime of tradable emissions allowances," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 860-883, November.
    8. Carruth, Alan & Dickerson, Andrew & Henley, Andrew, 2000. " What Do We Know about Investment under Uncertainty?," Journal of Economic Surveys, Wiley Blackwell, vol. 14(2), pages 119-153, April.
    9. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    10. Wing H. Chan & Denise Young, 2006. "Jumping hedges: An examination of movements in copper spot and futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(2), pages 169-188, February.
    11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    12. Pindyck, Robert S, 1993. "A Note on Competitive Investment under Uncertainty," American Economic Review, American Economic Association, vol. 83(1), pages 273-277, March.
    13. Thomas Dangl & Franz Wirl, 2007. "The consequences of irreversibility on optimal intertemporal emission policies under uncertainty," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(2), pages 143-166, June.
    14. Wing H. Chan, 2003. "A correlated bivariate Poisson jump model for foreign exchange," Empirical Economics, Springer, vol. 28(4), pages 669-685, November.
    15. SANIN, Maria Eugenia & VIOLANTE, Francesco, 2009. "Understanding volatility dynamics in the EU-ETS market: lessons from the future," CORE Discussion Papers 2009024, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Citations

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    Cited by:

    1. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.
    2. Johann Wackerbauer & Jutta Albrecht-Saavedra & Marc Gronwald & Janina Ketterer & Jana Lippelt & Johannes Pfeiffer & Luise Röpke & Markus Zimmer, 2011. "Bewertung der klimapolitischen Maßnahmen und Instrumente: eine Studie im Auftrag der E.ON AG," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 51, October.
    3. Alexander C. M. Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    4. Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," Quantitative Macroeconomics Working Papers 20906, Hamburg University, Department of Economics.
    5. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(1), pages 149-176, March.
    6. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo Group Munich.

    More about this item

    Keywords

    emission allowance prices; jumps; GARCH; real options;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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