Abstract
We examine the multifractal scaling behaviour and weak form market efficiency of clean energy stock indices using an asymmetric MF-DFA. We find asymmetric multifractality in the US, European, and global clean energy stock indices. Asymmetric multifractality in the clean energy stock index of the US is due to fat-tails and long-range correlation. However, for European and global clean stocks, multifractality is due only to fat-tailed distribution. We find higher efficiency in the upward trend of the European and global clean stock markets whereas, for the US, the market is less efficient when the market is upward trending. The time-varying market deficiency measure shows that US clean energy stocks are becoming relatively more efficient over time.
| Original language | English |
|---|---|
| Article number | 124519 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 550 |
| DOIs | |
| State | Published - 15 Jul 2020 |
Bibliographical note
Publisher Copyright:© 2020 Elsevier B.V.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Clean energy stocks
- Efficiency
- Long memory
- MF-DFA
ASJC Scopus subject areas
- Statistical and Nonlinear Physics
- Statistics and Probability
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