IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v47y2022ipas1544612321005353.html
   My bibliography  Save this article

Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market

Author

Listed:
  • Rubbaniy, Ghulame
  • Tee, Kienpin
  • Iren, Perihan
  • Abdennadher, Sonia

Abstract

This study uses daily data of 382 cryptocurrencies and a quantile-on-quantile regression (QQR) framework developed by Sim and Zhou (2015), to establish a link between herding behavior and investors’ mood and provide support for mood-as-information hypothesis in the crypto market. The results of QQR analysis reveal that the effect of investors’ mood on herd investing behavior is asymmetric and regime specific with a (weaker)higher (anti)herding tendency towards sad(happy) quantiles of investors’ mood. The results provide support to the portfolio managers by documenting that investors’ mood can be used as a signal to monitor the possible speculative activities in crypto market.

Suggested Citation

  • Rubbaniy, Ghulame & Tee, Kienpin & Iren, Perihan & Abdennadher, Sonia, 2022. "Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market," Finance Research Letters, Elsevier, vol. 47(PA).
    • Handle: RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321005353
    DOI: 10.1016/j.frl.2021.102585
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321005353
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2021.102585?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. 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. 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.
    3. Roger Koenker, 2017. "Quantile Regression: 40 Years On," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 155-176, September.
    4. 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).
    5. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    6. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    7. Roger Koenker, 2017. "Quantile regression 40 years on," CeMMAP working papers CWP36/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Taufeeq Ajaz & Anoop S. Kumar, 2018. "Herding In Crypto-Currency Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-15, June.
    9. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    10. Obryan Poyser, 2018. "Herding behavior in cryptocurrency markets," Papers 1806.11348, arXiv.org, revised Nov 2018.
    11. Stavros Stavroyiannis & Vassilios Babalos, 2017. "Herding, Faith-Based Investments and the Global Financial Crisis: Empirical Evidence From Static and Dynamic Models," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(4), pages 478-489, October.
    12. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David, 2019. "Co-explosivity in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 29(C), pages 178-183.
    13. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.
    14. Kaiser, Lars & Stöckl, Sebastian, 2020. "Cryptocurrencies: Herding and the transfer currency," Finance Research Letters, Elsevier, vol. 33(C).
    15. Economou, Fotini & Kostakis, Alexandros & Philippas, Nikolaos, 2011. "Cross-country effects in herding behaviour: Evidence from four south European markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(3), pages 443-460, July.
    16. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    17. Corbet, Shaen & Larkin, Charles & Lucey, Brian, 2020. "The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies," Finance Research Letters, Elsevier, vol. 35(C).
    18. Demirer, RIza & Kutan, Ali M., 2006. "Does herding behavior exist in Chinese stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 123-142, April.
    19. Henk Berkman & Michelle Li & Helen Lu, 2021. "Trust and the value of CSR during the global financial crisis," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4955-4965, September.
    20. Sim, Nicholas & Zhou, Hongtao, 2015. "Oil prices, US stock return, and the dependence between their quantiles," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 1-8.
    21. Ghulame Rubbaniy & Ali Awais Khalid & Aristeidis Samitas, 2021. "Are Cryptos Safe-Haven Assets during Covid-19? Evidence from Wavelet Coherence Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(6), pages 1741-1756, May.
    22. Naeem, Muhammad Abubakr & Mbarki, Imen & Shahzad, Syed Jawad Hussain, 2021. "Predictive role of online investor sentiment for cryptocurrency market: Evidence from happiness and fears," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 496-514.
    23. Chang, Bisharat Hussain & Sharif, Arshian & Aman, Ameenullah & Suki, Norazah Mohd & Salman, Asma & Khan, Syed Abdul Rehman, 2020. "The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach," Resources Policy, Elsevier, vol. 65(C).
    24. Vidal-Tomás, David & Ibáñez, Ana M. & Farinós, José E., 2019. "Herding in the cryptocurrency market: CSSD and CSAD approaches," Finance Research Letters, Elsevier, vol. 30(C), pages 181-186.
    25. Hira Arain & Liyan Han & Arshian Sharif & Muhammad Saeed Meo, 2020. "Investigating the effect of inbound tourism on FDI: The importance of quantile estimations," Tourism Economics, , vol. 26(4), pages 682-703, June.
    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. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of geopolitical risk on major currencies: Russia-Ukraine tensions," Finance Research Letters, Elsevier, vol. 51(C).
    2. Lu, Shuai & Li, Shouwei, 2023. "Is institutional herding efficient? Evidence from an investment efficiency and informational network perspective," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(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. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    2. 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).
    3. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    4. 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).
    5. Kumar, Ashish & Badhani, K.N. & Bouri, Elie & Saeed, Tareq, 2021. "Herding behavior in the commodity markets of the Asia-Pacific region," Finance Research Letters, Elsevier, vol. 41(C).
    6. 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).
    7. 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).
    8. Mouna Youssef & Khaled Mokni, 2023. "Herding behavior in stock markets of oil-importing and oil-exporting countries: the role of oil price," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 44-58, February.
    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. 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.
    11. 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).
    12. 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).
    13. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    14. Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
    15. 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).
    16. 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.
    17. 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).
    18. Júlio Lobão, 2022. "Herding Behavior in the Market for Green Cryptocurrencies: Evidence from CSSD and CSAD Approaches," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    19. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta, 2014. "Revisiting Herding Behavior in REITs: A Regime-Switching Approach," Working Papers 201448, University of Pretoria, Department of Economics.
    20. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).

    More about this item

    Keywords

    Cryptocurrencies; Herding behavior; Happiness index; Investors’ mood; Quantile-on-quantile regression;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • F3 - International Economics - - International Finance

    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:pa:s1544612321005353. 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.