Evidence map›Paper›PMID 35975113›Full record

ArticleComputational economics2022

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

Zeyi Fu, Hongli Niu, Weiqing Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational economics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Zeyi FuSchool of Economics and Management, University of Science and Technology Beijing, Beijing, 100083 China.
Hongli NiuSchool of Economics and Management, University of Science and Technology Beijing, Beijing, 100083 China.ORCID 0000-0001-5610-1650
Weiqing WangSchool of Economics and Management, University of Science and Technology Beijing, Beijing, 100083 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cross-correlationMarket efficiencyMultifractalityMultifractal sourcesNew energy market

Identifiers

PMID35975113
PMCPMC9371636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.