IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v18y2017i4p400-416.html
   My bibliography  Save this article

Herding Behavior in CEE Stock Markets Under Asymmetric Conditions: A Quantile Regression Analysis

Author

Listed:
  • Maria-Miruna Pochea
  • Angela-Maria Filip
  • Andreea-Maria Pece

Abstract

This article investigates herding behavior in ten Central and East European (CEE) stock markets by using daily data on stock prices for 384 companies from January 2, 2003, to December 31, 2013. Our study is based on the methodology developed by Chang, Cheng, and Khorana [2000], adapted to detect herding behavior under different market conditions. The authors use quantile regression analysis as an estimation method and find evidence of herding behavior in all CEE countries, except for Poland and Romania. When the market is up and the trading volume increases, investors become enthusiastic and optimistic, neglecting their own information and following each other in buying transactions. Conversely, when the market declines, driven by panic and fear, investors follow the market consensus and engage in overselling transactions.

Suggested Citation

  • Maria-Miruna Pochea & Angela-Maria Filip & Andreea-Maria Pece, 2017. "Herding Behavior in CEE Stock Markets Under Asymmetric Conditions: A Quantile Regression Analysis," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(4), pages 400-416, October.
  • Handle: RePEc:taf:hbhfxx:v:18:y:2017:i:4:p:400-416
    DOI: 10.1080/15427560.2017.1344677
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2017.1344677
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/15427560.2017.1344677?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.

    Citations

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


    Cited by:

    1. Nguyen, Huu Manh & Bakry, Walid & Vuong, Thi Huong Giang, 2023. "COVID-19 pandemic and herd behavior: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    2. Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    3. Tihana Škrinjarić, 2018. "Revisiting Herding Investment Behavior on the Zagreb Stock Exchange: A Quantile Regression Approach," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 3(2), pages 119-162, December.
    4. 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.
    5. Tihana Škrinjarić, 2021. "Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets," Mathematics, MDPI, vol. 9(17), pages 1-20, August.
    6. Ki-Hong Choi & Seong-Min Yoon, 2020. "Investor Sentiment and Herding Behavior in the Korean Stock Market," IJFS, MDPI, vol. 8(2), pages 1-14, June.
    7. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    8. Richard T. Ampofo & Eric N. Aidoo & Bernard O. Ntiamoah & Ophelia Frimpong & Daniel Sasu, 2023. "An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 517-540, June.
    9. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    10. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    11. Vijay Kumar Shrotryia & Himanshi Kalra, 2021. "Analysis of Sectoral Herding through Quantile Regression: A Study of S&P BSE 500 Stocks," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(1), pages 1-16, June.
    12. Duygun, Meryem & Tunaru, Radu & Vioto, Davide, 2021. "Herding by corporates in the US and the Eurozone through different market conditions," Journal of International Money and Finance, Elsevier, vol. 110(C).
    13. Ivasiuc Arina, 2023. "Herding Behavior in Frontier Nordic Countries," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 68(1), pages 21-41, April.
    14. 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.
    15. Cosmin Octavian Cepoi & Victor Dragotă & Ruxandra Trifan & Andreea Iordache, 2023. "Probability of informed trading during the COVID-19 pandemic: the case of the Romanian stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.

    More about this item

    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:taf:hbhfxx:v:18:y:2017:i:4:p:400-416. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/hbhf .

    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.