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

• Published in: Computational economics Vol. 52; no. 1; pp. 105 - 121
• Main Authors: Zhu, Bangzhu, Ma, Shujiao, Xie, Rui, Chevallier, Julien, Wei, Yi-Ming
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.06.2018; Springer Nature B.V; Springer Verlag
• Subjects: Analysis; Behavioral/Experimental Economics; Carbon; Computer Appl. in Social and Behavioral Sciences; Economic analysis; Economic crisis; Economic Theory/Quantitative Economics/Mathematical Methods; Economics; Economics and Finance; Empirical analysis; Humanities and Social Sciences; Impact analysis; Markets; Math Applications in Computer Science; Multiscale analysis; Operations Research/Decision Theory; Variation; Windows; Hilbert transform; C6; Q4; C8; European carbon market; Ensemble empirical mode decomposition; Event analysis; Economic crisis

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 propo...