IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v47y2022ipbs1544612322001076.html
   My bibliography  Save this article

Do clean and dirty cryptocurrency markets herd differently?

Author

Listed:
  • Ren, Boru
  • Lucey, Brian

Abstract

In this paper, we investigate the herding behaviour of two types of cryptocurrencies, referred to as ”black/dirty” and ”green/clean” based on their energy usage levels. Empirical results reveal that herding generally exists only in the dirty cryptocurrency market, and is more significant in down markets. Moreover, we find that clean cryptocurrencies do herd, but with dirty cryptocurrencies, when the two markets are both positive. Our findings are robust across value- and equal-weighted portfolios and provide valuable insights to investors and policy makers.

Suggested Citation

  • Ren, Boru & Lucey, Brian, 2022. "Do clean and dirty cryptocurrency markets herd differently?," Finance Research Letters, Elsevier, vol. 47(PB).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322001076
    DOI: 10.1016/j.frl.2022.102795
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322001076
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2022.102795?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    2. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    3. Sushil Bikhchandani & Sunil Sharma, 2001. "Herd Behavior in Financial Markets," IMF Staff Papers, Palgrave Macmillan, vol. 47(3), pages 1-1.
    4. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    5. Amina Amirat & Wafa Alwafi & David McMillan, 2020. "Does herding behavior exist in cryptocurrency market?," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1735680-173, January.
    6. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2021. "Bitcoin-energy markets interrelationships - New evidence," Resources Policy, Elsevier, vol. 70(C).
    7. 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.
    8. Obryan Poyser, 2018. "Herding behavior in cryptocurrency markets," Papers 1806.11348, arXiv.org, revised Nov 2018.
    9. Ren, Boru & Lucey, Brian, 2022. "A clean, green haven?—Examining the relationship between clean energy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 109(C).
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Patel, Ritesh & Kumar, Sanjeev & Bouri, Elie & Iqbal, Najaf, 2023. "Spillovers between green and dirty cryptocurrencies and socially responsible investments around the war in Ukraine," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 143-162.
    2. Patel, Ritesh & Gubareva, Mariya & Chishti, Muhammad Zubair, 2024. "Assessing the connectedness between cryptocurrency environment attention index and green cryptos, energy cryptos, and green financial assets," Research in International Business and Finance, Elsevier, vol. 70(PA).
    3. Ali, Fahad & Khurram, Muhammad Usman & Sensoy, Ahmet & Vo, Xuan Vinh, 2024. "Green cryptocurrencies and portfolio diversification in the era of greener paths," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    4. Ali, Shoaib & Ijaz, Muhammad Shahzad & Yousaf, Imran & Li, Yanshuang, 2023. "Connectedness and portfolio management between renewable energy tokens and metals: Evidence from TVP-VAR approach," Energy Economics, Elsevier, vol. 127(PA).
    5. Wang, Jying-Nan & Vigne, Samuel A. & Liu, Hung-Chun & Hsu, Yuan-Teng, 2024. "Divergent jump characteristics in brown and green cryptocurrencies: The role of energy-related uncertainty," Energy Economics, Elsevier, vol. 138(C).
    6. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    7. Naeem, Muhammad Abubakr & Nguyen, Thi Thu Ha & Karim, Sitara & Lucey, Brian M., 2023. "Extreme downside risk transmission between green cryptocurrencies and energy markets: The diversification benefits," Finance Research Letters, Elsevier, vol. 58(PA).
    8. 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).
    9. Bibi, Samuele, 2023. "Money in the time of crypto," Research in International Business and Finance, Elsevier, vol. 65(C).
    10. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    11. N. L. Balasudarsun & Bikramaditya Ghosh & Sathish Mahendran, 2022. "Impact of Negative Tweets on Diverse Assets during Stressful Events: An Investigation through Time-Varying Connectedness," JRFM, MDPI, vol. 15(6), pages 1-12, June.
    12. Ko, Hyungjin & Son, Bumho & Lee, Jaewook, 2024. "Portfolio insurance strategy in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 67(PA).
    13. Zięba, Damian, 2024. "If GPU(time) == money: Sustainable crypto-asset market? Analysis of similarity among crypto-asset financial time series," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 863-912.
    14. Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
    15. Yousaf, Imran & Riaz, Yasir & Goodell, John W., 2023. "Energy cryptocurrencies: Assessing connectedness with other asset classes," Finance Research Letters, Elsevier, vol. 52(C).
    16. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    17. Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2024. "A U-shaped relationship between the crypto fear-greed index and the price synchronicity of cryptocurrencies," Finance Research Letters, Elsevier, vol. 59(C).
    18. Kliber, Agata & Będowska-Sójka, Barbara, 2024. "Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy," Energy Economics, Elsevier, vol. 138(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Imran Yousaf & Shoaib Ali & Elie Bouri & Anupam Dutta, 2021. "Herding on Fundamental/Nonfundamental Information During the COVID-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market," SAGE Open, , vol. 11(3), pages 21582440211, July.
    2. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    3. Youssef, Mouna & Waked, Sami Sobhi, 2022. "Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    4. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    5. N. Blasco & P. Corredor & N. Satrústegui, 2022. "The witching week of herding on bitcoin exchanges," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-18, December.
    6. Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis & Corbet, Shaen, 2021. "Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    7. 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).
    8. 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).
    9. Yousaf, Imran & Yarovaya, Larisa, 2022. "Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets," Finance Research Letters, Elsevier, vol. 50(C).
    10. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2022. "Extreme sentiment and herding: Evidence from the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 63(C).
    11. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
    12. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    13. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    14. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    15. Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).
    16. Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).
    17. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    18. 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).
    19. Siniša Bogdan & Natali Brmalj & Elvis Mujačević, 2023. "Impact of Liquidity and Investors Sentiment on Herd Behavior in Cryptocurrency Market," IJFS, MDPI, vol. 11(3), pages 1-17, July.
    20. Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).

    More about this item

    Keywords

    Herding; Cryptocurrencies; Sustainable cryptocurrency; Bitcoin;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G40 - Financial Economics - - Behavioral Finance - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:47:y:2022:i:pb:s1544612322001076. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.