IDEAS home Printed from https://ideas.repec.org/r/eee/beexfi/v30y2021ics2214635021000137.html

Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Mbarek, Marouene & Msolli, Badreddine, 2025. "Assessing linkages between supply chain tokens and other assets: Evidence from a time-frequency quantile connectedness approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 46(C).
  2. Kevin Rink, 2025. "The role of technical chart patterns in the early Bitcoin market: intraday evidence from the Mt.Gox transaction dataset," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-67, December.
  3. Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
  4. Yousaf, Imran & Yarovaya, Larisa, 2022. "Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets," Finance Research Letters, Elsevier, vol. 50(C).
  5. An Pham Ngoc Nguyen & Martin Crane & Thomas Conlon & Marija Bezbradica, 2025. "Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-49, February.
  6. Tang, Mengxuan & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Fintech, bank diversification and liquidity: Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).
  7. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
  8. Mohamad, Azhar & Stavroyiannis, Stavros, 2022. "Do birds of a feather flock together? Evidence from time-varying herding behaviour of bitcoin and foreign exchange majors during Covid-19," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
  9. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predictability of crypto returns: The impact of trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
  10. Wu, Qiong & Guo, Ge & Li, Xiaogang & Singh, Rajesh & Zhang, Ting, 2025. "Bitcoin’s fundamental value and speculative behavior: A new framework for price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
  11. Siniša Bogdan & Natali Suštar & Bojana Olgić Draženović, 2022. "Herding Behavior in Developed, Emerging, and Frontier European Stock Markets during COVID-19 Pandemic," JRFM, MDPI, vol. 15(9), pages 1-12, September.
  12. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
  13. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "Can cryptocurrencies provide a viable hedging mechanism for benchmark index investors?," Research in International Business and Finance, Elsevier, vol. 64(C).
  14. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2024. "Quantifying spillovers and connectedness among commodities and cryptocurrencies: Evidence from a Quantile-VAR analysis," Journal of Commodity Markets, Elsevier, vol. 33(C).
  15. Yongzhi Gong & Xiaofei Tang & En-Chung Chang, 2023. "Group norms and policy norms trigger different autonomous motivations for Chinese investors in cryptocurrency investment," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
  16. Ballis, Antonis & Karagiorgis, Ariston & Anastasiou, Dimitrios & Kallandranis, Christos, 2025. "Cryptocurrency dynamics during global crises: Insights from Bitcoin’s interplay with traditional markets," International Review of Economics & Finance, Elsevier, vol. 103(C).
  17. Kyriazis, Nikolaos A. & Papadamou, Stephanos & Tzeremes, Panayiotis, 2023. "Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?," Economic Modelling, Elsevier, vol. 128(C).
  18. Kyriazis, Nikolaos & Corbet, Shaen, 2024. "Evaluating the dynamic connectedness of financial assets and bank indices during black-swan events: A Quantile-VAR approach," Energy Economics, Elsevier, vol. 131(C).
  19. Tong, Zezheng & Goodell, John W. & Shen, Dehua, 2022. "Assessing causal relationships between cryptocurrencies and investor attention: New results from transfer entropy methodology," Finance Research Letters, Elsevier, vol. 50(C).
  20. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 307-317.
  21. Dimitriou, Dimitrios & Tsioutsios, Alexandros & Corbet, Shaen, 2025. "Analysing art as a safe-haven asset in times of crisis," International Review of Financial Analysis, Elsevier, vol. 104(PA).
  22. Xin Sui & Guifen Shi & Guanchong Hou & Shaohan Huang & Yanshuang Li, 2022. "Impacts of COVID‐19 on the Return and Volatility Nexus among Cryptocurrency Market," Complexity, John Wiley & Sons, vol. 2022(1).
  23. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
  24. Mamidala, Vasanthi & Kumari, Pooja, 2023. "Investigating herding severity in different NFT categories," Finance Research Letters, Elsevier, vol. 58(PB).
  25. M’bakob, Gilles Brice & Mandeng ma Ntamack, Jules & Mfouapon, Georges Kriyoss, 2025. "Anticipated psychological spreads: Cryptocurrencies’ hidden short-term monitors and implications for price forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 104(C).
  26. Chowdhury, Md Iftekhar Hasan & Hasan, Mudassar & Bouri, Elie & Tang, Yayan, 2024. "Emotional spillovers in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
  27. Kayani, Umar & Ullah, Mirzat & Aysan, Ahmet Faruk & Nazir, Sidra & Frempong, Josephine, 2024. "Quantile connectedness among digital assets, traditional assets, and renewable energy prices during extreme economic crisis," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
  28. Kyriazis, Nikolaos & Corbet, Shaen, 2025. "Understanding the connectedness between US traditional assets and green cryptocurrencies during crises," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
  29. Będowska-Sójka, Barbara & Wójcik, Piotr & Pele, Daniel Traian, 2026. "Early warning systems for cryptocurrency markets: Predicting ‘zombie’ assets using machine learning," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
  30. Shaen Corbet & Les Oxley, 2023. "Investigating the Academic Response to Cryptocurrencies: Insights from Research Diversification as Separated by Journal Ranking," Review of Corporate Finance, now publishers, vol. 3(4), pages 487-528, September.
  31. Mohamad, Azhar, 2022. "Safe flight to which haven when Russia invades Ukraine? A 48-hour story," Economics Letters, Elsevier, vol. 216(C).
  32. Gemayel, Roland & Preda, Alex, 2024. "Herding in the cryptocurrency market: A transaction-level analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
  33. Scharnowski, Stefan & Shi, Yanghua, 2024. "Intraday herding and attention around the clock," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
  34. Nikolaos A. Kyriazis, 2021. "The Nexus of Sophisticated Digital Assets with Economic Policy Uncertainty: A Survey of Empirical Findings and an Empirical Investigation," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.