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Pricing efficiency and asymmetric multifractality of major asset classes before and during COVID-19 crisis

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  • Mensi, Walid
  • Sensoy, Ahmet
  • Vo, Xuan Vinh
  • Kang, Sang Hoon

Abstract

We examine the impact of COVID-19 pandemic crisis on the pricing efficiency and asymmetric multifractality of major asset classes (S&P500, US Treasury bond, US dollar index, Bitcoin, Brent oil, and gold) within a dynamic framework. Applying permutation entropy on intraday data that covers between April 30, 2019 and May 13, 2020, we show that efficiency of all sample asset classes is deteriorated with the outbreak, and in most cases this deterioration is significant. Results are found to be robust under different analysis schemes. Brent oil is the highest efficient market before and during crisis. The degree of efficiency is heterogeneous among all markets. The analysis by an asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) approach shows evidence of asymmetric multifractality in all markets which rise with the scales. The inefficiency is higher during downward trends before the pandemic crisis as well as during COVID-19 except for gold and Bitcoin. Moreover, the pandemic intensifies the inefficiency of all markets except Bitcoin. Findings reveal increased opportunities for price predictions and abnormal returns gains during the COVID-19 outbreak.

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  • Mensi, Walid & Sensoy, Ahmet & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Pricing efficiency and asymmetric multifractality of major asset classes before and during COVID-19 crisis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:ecofin:v:62:y:2022:i:c:s1062940822001152
    DOI: 10.1016/j.najef.2022.101773
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    References listed on IDEAS

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    Cited by:

    1. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2023. "Volatility spillovers between sovereign CDS and futures markets in various volatility states: Evidence from an emerging economy around the pandemic," Research in International Business and Finance, Elsevier, vol. 66(C).
    2. Oktay Ozkan & Salah Abosedra & Arshian Sharif & Andrew Adewale Alola, 2024. "Dynamic volatility among fossil energy, clean energy and major assets: evidence from the novel DCC-GARCH," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-19, June.
    3. Mensi, Walid & Ko, Hee-Un & Sensoy, Ahmet & Kang, Sang Hoon, 2024. "Higher-order moment connectedness between stock and commodity markets and portfolio management," Resources Policy, Elsevier, vol. 89(C).
    4. Yunfeng Shang & Pan Qi & Hui Chen & Qin Yang & Yuan Chen, 2023. "COVID-19 and its impact on tourism sectors: implications for green economic recovery," Economic Change and Restructuring, Springer, vol. 56(2), pages 941-958, April.
    5. Foued Sa^adaoui, 2023. "Structured Multifractal Scaling of the Principal Cryptocurrencies: Examination using a Self-Explainable Machine Learning," Papers 2304.08440, arXiv.org.
    6. Naeem, Muhammad Abubakr & Farid, Saqib & Yousaf, Imran & Kang, Sang Hoon, 2023. "Asymmetric efficiency in petroleum markets before and during COVID-19," Resources Policy, Elsevier, vol. 86(PA).
    7. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    8. Kristjanpoller, Werner & Nekhili, Ramzi & Bouri, Elie, 2024. "Blockchain ETFs and the cryptocurrency and Nasdaq markets: Multifractal and asymmetric cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).

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    More about this item

    Keywords

    Efficient market hypothesis; COVID-19; Permutation entropy; A-MF-DFA; Predictability;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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