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Are markets sentiment driving the price bubbles in the virtual?

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  • Ben Osman, Myriam
  • Galariotis, Emilios
  • Guesmi, Khaled
  • Hamdi, Haykel
  • Naoui, Kamel

Abstract

This paper investigates the existence of speculative bubbles in four crypto-market components (Bitcoin, Ethereum, CRIX index, DeFi pulse index) while date-stamping them, before using a wavelet coherence approach to look after the co-movement of each of those four digital tokens with three sentiment indices reflecting three different markets (Stock, gold, and crypto markets). Thereafter, we study the sentiment-price return connection and its concordance with periods of existing bubbles. Our results show the existence of multiple bubble regimes in the virtual market and more specifically, a huge bubble occurring during the crypto-market bull phase for Bitcoin, Ethereum, and CRIX. Moreover, we find that the bubbles that occurred during the COVID-19 pandemic concord with periods of high sentiment co-movement with the three markets. Hence, some of those bubble periods are in phases with periods of high co-movement with sentiments toward different markets. In addition, the fear and greed toward the crypto-market seem to be the leading sentiment index that highly influences the crypto-market components and their bubble appearances.

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  • Ben Osman, Myriam & Galariotis, Emilios & Guesmi, Khaled & Hamdi, Haykel & Naoui, Kamel, 2024. "Are markets sentiment driving the price bubbles in the virtual?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 272-285.
  • Handle: RePEc:eee:reveco:v:89:y:2024:i:pb:p:272-285
    DOI: 10.1016/j.iref.2023.10.041
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    as
    1. Akyildirim, Erdinc & Aysan, Ahmet Faruk & Cepni, Oguzhan & Darendeli, S. Pinar Ceyhan, 2021. "Do investor sentiments drive cryptocurrency prices?," Economics Letters, Elsevier, vol. 206(C).
    2. Peter C. B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers CoFie-03-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
    3. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    4. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    5. Ross C Phillips & Denise Gorse, 2018. "Cryptocurrency price drivers: Wavelet coherence analysis revisited," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-21, April.
    6. Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," JRFM, MDPI, vol. 12(2), pages 1-12, April.
    7. Christian M Hafner, 2020. "Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 233-249.
    8. Wei-Fong Pan, 2020. "Does Investor Sentiment Drive Stock Market Bubbles? Beware of Excessive Optimism!," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 27-41, January.
    9. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    10. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 1079-1134, November.
    11. Selmi, Refk & Mensi, Walid & Hammoudeh, Shawkat & Bouoiyour, Jamal, 2018. "Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold," Energy Economics, Elsevier, vol. 74(C), pages 787-801.
    12. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2022. "What drives DeFi prices? Investigating the effects of investor attention," Finance Research Letters, Elsevier, vol. 48(C).
    13. Beneki, Christina & Koulis, Alexandros & Kyriazis, Nikolaos A. & Papadamou, Stephanos, 2019. "Investigating volatility transmission and hedging properties between Bitcoin and Ethereum," Research in International Business and Finance, Elsevier, vol. 48(C), pages 219-227.
    14. Kaiser, Lars & Stöckl, Sebastian, 2020. "Cryptocurrencies: Herding and the transfer currency," Finance Research Letters, Elsevier, vol. 33(C).
    15. Mouna Youssef, 2022. "What Drives Herding Behavior in the Cryptocurrency Market?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 230-239, May.
    16. repec:men:wpaper:58_2015 is not listed on IDEAS
    17. Bouri, Elie & Gupta, Rangan & Lahiani, Amine & Shahbaz, Muhammad, 2018. "Testing for asymmetric nonlinear short- and long-run relationships between bitcoin, aggregate commodity and gold prices," Resources Policy, Elsevier, vol. 57(C), pages 224-235.
    18. Xianfang Su & Yong Li, 2020. "Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-26, December.
    19. Łukasz Goczek & Ivan Skliarov, 2019. "What drives the Bitcoin price? A factor augmented error correction mechanism investigation," Applied Economics, Taylor & Francis Journals, vol. 51(59), pages 6393-6410, December.
    20. Hussain Shahzad, Syed Jawad & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2020. "Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin," Economic Modelling, Elsevier, vol. 87(C), pages 212-224.
    21. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks," Finance Research Letters, Elsevier, vol. 50(C).
    22. Yizhi Wang & Florian Horky & Lennart J. Baals & Brian M. Lucey & Samuel A. Vigne, 2022. "Bubbles all the way down? Detecting and date-stamping bubble behaviours in NFT and DeFi markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(4), pages 415-436, October.
    23. Myriam Ben Osman & Kamel Naoui, 2021. "Bubbles in the virtual finance: an application of the Phillips-Wu-Yu (2011) methodology on the bitcoin price," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 6(3/4), pages 284-296.
    24. Gkillas, Konstantinos & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2022. "Spillovers in Higher-Order Moments of Crude Oil, Gold, and Bitcoin," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 398-406.
    25. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    26. Jaroslav Bukovina & Matus Marticek, 2016. "Sentiment and Bitcoin Volatility," MENDELU Working Papers in Business and Economics 2016-58, Mendel University in Brno, Faculty of Business and Economics.
    27. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Mensi, Walid & Al-Jarrah, Idries Mohammad Wanas, 2019. "Can uncertainty indices predict Bitcoin prices? A revisited analysis using partial and multivariate wavelet approaches," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 47-56.
    28. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019. "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, vol. 30(C), pages 420-425.
    29. Dimitrios Koutmos & Timothy King & Constantin Zopounidis, 2021. "Hedging uncertainty with cryptocurrencies: Is bitcoin your best bet?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 815-837, December.
    30. Kallinterakis, Vasileios & Wang, Ying, 2019. "Do investors herd in cryptocurrencies – and why?," Research in International Business and Finance, Elsevier, vol. 50(C), pages 240-245.
    31. Renan Diniz & Diogo de Prince & Leandro Maciel, 2022. "Bubble detection in Bitcoin and Ethereum and its relationship with volatility regimes," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(3), pages 429-447, March.
    32. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    33. Spyros Spyrou, 2013. "Herding in financial markets: a review of the literature," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 5(2), pages 175-194, November.
    34. Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    35. Spyros Spyrou, 2013. "Herding in financial markets: a review of the literature," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 5(2), pages 175-194, November.
    36. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Limit Theory Of Real‐Time Detectors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1079-1134, November.
    37. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    38. Hashem A. AlNemer & Besma Hkiri & Muhammed Asif Khan, 2021. "Time-Varying Nexus between Investor Sentiment and Cryptocurrency Market: New Insights from a Wavelet Coherence Framework," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    39. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    40. Muhammad Abubakr Naeem & Saqib Farid & Faruk Balli & Syed Jawad Hussain Shahzad, 2021. "Hedging the downside risk of commodities through cryptocurrencies," Applied Economics Letters, Taylor & Francis Journals, vol. 28(2), pages 153-160, January.
    41. Rosy Dhall & Bhanwar Singh, 2020. "The COVID-19 Pandemic and Herding Behaviour: Evidence from India’s Stock Market," Millennial Asia, , vol. 11(3), pages 366-390, December.
    42. Michael Demmler & Amilcar Orlian Fernández Domínguez, 2022. "Speculative bubble tendencies in time series of Bitcoin market prices," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 41(86), pages 159-183, May.
    43. Aloui, Chaker & Hkiri, Besma, 2014. "Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis," Economic Modelling, Elsevier, vol. 36(C), pages 421-431.
    44. Audrino, Francesco & Tetereva, Anastasija, 2019. "Sentiment spillover effects for US and European companies," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 542-567.
    45. Gaies, Brahim & Nakhli, Mohamed Sahbi & Sahut, Jean Michel & Guesmi, Khaled, 2021. "Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    46. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
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    Cited by:

    1. Xiaorui Zuo & Yao-Tsung Chen & Wolfgang Karl Hardle, 2024. "Emoji Driven Crypto Assets Market Reactions," Papers 2402.10481, arXiv.org, revised May 2024.

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