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Prediction of Emission Allowances Spot Prices Volatility with the Use of GARCH Models

Author

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  • Daniela Spiesova

    (Czech University of Life Sciences Prague)

Abstract

For several years, the system of emission allowances trading has been dealing with a crisis mainly due to the falling prices of emission allowances. That said, the partial aim of this paper is to create an overview of EUA trading options and acquaint readers with the development of the emission allowances price. Another partial aim is to predict the volatility of prices of emission allowances with the use of BAU scenario, i.e. without any intervention. ARIMA models are used to model the conditional mean value and linear ARCH or GARCH models are used to model conditional variance. The uniqueness of this paper lies in the fact that there are many expert studies dealing with the prediction of the price of allowance but there are only a limited number of scientific studies concerning the prediction of volatility which is the crucial element for trading with emission allowances on the exchange. Based on these two results the main aim of this article is to show possible malfunction of EU ETS in future based on the price development of EUA in time and on volatility prediction. The results of this study confirm that to predict the conditional variance and then volatility, it is adequate to use the cluster model AR(1,8,12)-GARCH(1, 1) without constant, where in the long-term, the square root of the conditional variance inclines towards stable value. Based on the analysis of EUA prices it is obvious that the system is not efficient and does not fulfill its purpose. These two partial conclusions suggest that in case of non-intervention of the European Commission the whole mechanism may fail.

Suggested Citation

  • Daniela Spiesova, 2016. "Prediction of Emission Allowances Spot Prices Volatility with the Use of GARCH Models," ACTA VSFS, University of Finance and Administration, vol. 10(1), pages 66-79.
    • Handle: RePEc:prf:journl:v:10:y:2016:i:1:p:66-79
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    File URL: https://www.vsfs.cz/periodika/acta-2016-1-04.pdf
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    References listed on IDEAS

    as
    1. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    2. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    3. Seifert, Jan & Uhrig-Homburg, Marliese & Wagner, Michael, 2008. "Dynamic behavior of CO2 spot prices," Journal of Environmental Economics and Management, Elsevier, vol. 56(2), pages 180-194, September.
    4. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
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    Cited by:

    1. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.

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    More about this item

    Keywords

    emission allowance; volatility; ARIMA; GARCH; prediction; spot price;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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