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 LCE  Vol.7 No.1 , March 2016
Analysis and Test of Multifractal Characteristics of the European Carbon Emissions Market—Based on the Framework of Wavelet Leaders
Abstract: In order to depict the complex price volatility of carbon emission permits under the European Union Emission Trading Scheme (EU ETS) accurately, we use the multifractal analysis based on wavelet leaders to extract the useful information from the carbon price series in this paper. Firstly, we test the multifractal property of the EU carbon market, and the empirical results show that the three phases of the EU ETS have shown significant multifractal characteristics. Compared with the other two phases, the multifractal characteristics of phase three are the strongest and the prices are the most uneven. Then, based on the width of the multifractal spectrum and the variances of the Hausdorff dimension, we innovatively propose an indicator VhS which has been proved to be effective in depicting the price volatility of the European carbon market. This paper provides a new train of thought for the risk identification and management in the multifractal market.
Cite this paper: Liang, J. (2016) Analysis and Test of Multifractal Characteristics of the European Carbon Emissions Market—Based on the Framework of Wavelet Leaders. Low Carbon Economy, 7, 54-61. doi: 10.4236/lce.2016.71006.
References

[1]   Daskalakis, G. and Markellos, R. (2008) Are the European carbon Markets Efficient? Review of Futures Markets, 17, 103-128.

[2]   Chevallier, J. (2011) Detecting Instability in the Volatility of Carbon Prices. Energy Economics, 33, 99-110.
http://dx.doi.org/10.1016/j.eneco.2010.09.006

[3]   Benz, E. and Trück, S. (2009) Modelling the Price Dynamics of CO2 Emission Allowances. Energy Economics, 31, 4-15.
http://dx.doi.org/10.1016/j.eneco.2008.07.003

[4]   Seifert, J., Uhrig-Homburg, M. and Wagner, M. (2008) Dynamic Behavior of CO2 Spot Prices. Journal of Environmental Economics and Management, 56, 180-194.
http://dx.doi.org/10.1016/j.jeem.2008.03.003

[5]   Paolella, M. and Taschini, L. (2008) An Econometric Analysis of Emission Allowances Prices. Journal of Banking & Finance, 32, 2022-2032.
http://dx.doi.org/10.1016/j.jbankfin.2007.09.024

[6]   Conrad, C., Rittler, D. and RotfuB, W. (2012) Modeling and Explaining the Dynamics of European Union Allowance Prices at High-Frequency. Energy Economics, 34, 316-326.
http://dx.doi.org/10.1016/j.eneco.2011.02.011

[7]   Zhu, B.Z. and Wei, Y.M. (2013) Carbon Price Forecasting with a Novel Hybrid ARIMA and Least Squares Support Vector Machines Methodology. Omega, 41, 517-524.
http://dx.doi.org/10.1016/j.omega.2012.06.005

[8]   Chevallier, J. (2011) Nonparametric Modeling of Carbon Prices. Energy Economics, 33, 1267-1282.
http://dx.doi.org/10.1016/j.eneco.2011.03.003

[9]   Feng, Z.-H., Zou, L.-L. and Wei, Y.-M. (2011) Carbon Price Volatility: Evidence from EUETS. Applied Energy, 88, 590-598.
http://dx.doi.org/10.1016/j.apenergy.2010.06.017

[10]   Mandelbrot, B.B. (1999) A Multifractal Walk Down Wall Street. Scientific American, 280, 70-73.
http://dx.doi.org/10.1038/scientificamerican0299-70

[11]   Chhabra, A., Meneveau, C., Jnsen, R.V and Sreenivasan, K.R. (1989) Direct Determination of the Singularity Spectrum and Its Application to Fully Developed Turbulence. Physical Review A, 40, 5284-5294.
http://dx.doi.org/10.1103/PhysRevA.40.5284

 
 
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