Market Efficiency and Cross-Correlations of Chinese New Energy Market with Other Assets: Evidence from Multifractality Analysis

Zeyi Fu, Hongli Niu () and Weiqing Wang
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Zeyi Fu: University of Science and Technology Beijing
Hongli Niu: University of Science and Technology Beijing
Weiqing Wang: University of Science and Technology Beijing

Computational Economics, 2023, vol. 62, issue 3, No 18, 1287-1311

Abstract: Abstract Despite the upgrading of the attention and investment of new energy in Chinese public, its market efficiency and associations with other assets are relatively rarely explored. This paper, firstly, explores the multifractal feature and market efficiency of Chinese new energy market (NEI) by the multifractal detrended fluctuation analysis. Secondly, the multifractal cross-correlation analysis is performed to discuss the multifractality of cross-correlations between NEI and crude oil, external new energy indices (Global (SPGCE), United States (ECO) and Europe (ERIX)) and safe-haven asset (GOLD) respectively. The results show that Chinese new energy market has obvious multifractality with low market efficiency, which is mainly sourced from long-range correlation. It has the strongest linkages with external new energy markets and most insignificant association with gold. The heterogeneous sources contribute to their multifractal cross-correlations. It provides useful enlightenment for decision-makers to implement energy policy and reform, and for investors to make investment decisions.

Keywords: New energy market; Multifractality; Cross-correlation; Market efficiency; Multifractal sources (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10614-022-10301-2

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