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Investor behavior and cryptocurrency market bubbles during the COVID-19 pandemic

Author

Listed:
  • Emna Mnif
  • Bassem Salhi
  • Khaireddine Mouakha
  • Anis Jarboui

Abstract

Purpose - Cryptocurrencies lack fundamental values and are often subject to behavioral bias leading to market bubbles. This study aims to investigate the contribution of the coronavirus pandemic to the creation of market bubbles. Design/methodology/approach - This study identifies four major cryptocurrency market bubbles by using the Phillipset al.(2016) (hereafter PSY) test. Subsequently, the co-movements of the coronavirus proxies with PSY measurement using the wavelet approach were studied. Findings - Short-lived bubbles are detected at the beginning of the studied period, and more extended bubble periods are identified at the end. Besides, the empirical results show evidence of significant negative co-movement between each pandemic proxy and each cryptocurrency bubble measurement. Research limitations/implications - Given the complex financial dynamics of the cryptocurrency markets due to some behavioral biases in some circumstances, investors can benefit from the date stamping of the bubbles bursting to make the best trading positions. In the same way, governments could support the healthy development of cryptocurrencies by preventing bubbles during such pandemics. Originality/value - The financial bubble is commonly attributed to a change in investor behavior. Because traders and investors think they can resell the asset at a higher price in the future. This study explored the contribution of the COVID-19 pandemic in the creation of these bubbles by date stamping their occurrence and explosive periods. To the best of the authors’ knowledge, this study is the first attempt that explores the contribution of the COVID-19 pandemic to the creation of bubbles caused by a change in the investors’ behavior.

Suggested Citation

  • Emna Mnif & Bassem Salhi & Khaireddine Mouakha & Anis Jarboui, 2022. "Investor behavior and cryptocurrency market bubbles during the COVID-19 pandemic," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(4), pages 491-507, June.
  • Handle: RePEc:eme:rbfpps:rbf-09-2021-0190
    DOI: 10.1108/RBF-09-2021-0190
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    Citations

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    Cited by:

    1. Maher Abida & Emna Mnif, 2023. "Investor Attention in Cryptocurrency Markets: Examining the Effects of Vaccination and COVID-19 Spread through a Wavelet Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 13(5), pages 43-51, September.
    2. Chen, Bin-xia & Sun, Yan-lin, 2024. "Risk characteristics and connectedness in cryptocurrency markets: New evidence from a non-linear framework," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    3. Assaf, Ata & Demir, Ender & Ersan, Oguz, 2024. "Detecting and date-stamping bubbles in fan tokens," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 98-113.

    More about this item

    Keywords

    Cryptocurrency; Continuous wavelet; Wavelet coherence; Investor behavior; Market bubbles; COVID-19; C58; E44; G01; H12;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G01 - Financial Economics - - General - - - Financial Crises
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management

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