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Computational Economics

, Volume 52, Issue 1, pp 105–121 | Cite as

Hilbert Spectra and Empirical Mode Decomposition: A Multiscale Event Analysis Method to Detect the Impact of Economic Crises on the European Carbon Market

  • Bangzhu Zhu
  • Shujiao Ma
  • Rui Xie
  • Julien Chevallier
  • Yi-Ming Wei
Article

Abstract

Exploring the effect of an economic crisis on the carbon market can be propitious to understand the formation mechanisms of carbon pricing, and prompt the healthy development of the carbon market. Through the ensemble empirical mode decomposition (EEMD), a multiscale event analysis approach is proposed for exploring the effect of an economic crisis on the European carbon market. Firstly, we determine the appropriate carbon price data of the estimation and event windows to embody the impact of the interested economic crisis on carbon market. Secondly, we use the EEMD to decompose the carbon price into simple modes. Hilbert spectra are adopted to identify the main mode, which is then used to estimate the strength of an extreme event on the carbon price. Thirdly, we perform a multiscale analysis that the composition of the low-frequency modes and residue is identifying as the main mode to capture the strength of the interested economic crisis on the carbon market, and the high-frequency modes are identifying as the normal market fluctuations with a little short-term effect on the carbon market. Finally, taking the 2007–2009 global financial crisis and 2009–2013 European debt crisis as two cases, the empirical results show that contrasted with the traditional intervention analysis and event analysis with the principle of “one divides into two”, the proposed method can capture the influences of an economic crisis on the carbon market at various timescales in a nonlinear framework.

Keywords

European carbon market Economic crisis Ensemble empirical mode decomposition Event analysis Hilbert transform 

JEL Classification

C6 C8 Q4 

Notes

Acknowledgements

We express our gratitude to the National Natural Science Foundation of China (71473180, 71201010 and 71303174), National Philosophy and Social Science Foundation of China (14AZD068, 15ZDA054), Natural Science Foundation for Distinguished Young Talents of Guangdong (2014A030306031), Guangdong Young Zhujiang Scholar (Yue Jiaoshi [2016]95), Department of Education of Guangdong ([2013]246, [2014]145), Guangdong key base of humanities and social science: Enterprise Development Research Institute and Institute of Resource, Environment and Sustainable Development Research, and Guangzhou key base of humanities and social science: Centre for Low Carbon Economic Research for funding supports.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.School of ManagementJinan UniversityGuangzhouChina
  2. 2.School of Business and ManagementHunan UniversityChangshaChina
  3. 3.School of Economics and TradeHunan UniversityChangshaChina
  4. 4.IPAG LabIPAG Business SchoolParisFrance
  5. 5.Center for Energy and Environmental Policy ResearchBeijing Institute of TechnologyBeijingChina

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