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Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour

  • Syed Jawad Hussain Shahzad*
  • , Elie Bouri
  • , Ghulam Mujtaba Kayani
  • , Rana Muhammad Nasir
  • , Ladislav Kristoufek
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

69 Scopus citations

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 languageEnglish
Article number124519
JournalPhysica A: Statistical Mechanics and its Applications
Volume550
DOIs
StatePublished - 15 Jul 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    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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