IDEAS home Printed from https://ideas.repec.org/a/iaf/journl/y2021i2p61-73.html
   My bibliography  Save this article

Do behavioral biases differ among institutional and individual investors?

Author

Listed:
  • Roshani Chamalka Gunathilaka

    (University of Kelaniya, Dalugama Kelaniya, Sri Lanka)

  • J. M. Ruwani Fernando

    (University of Kelaniya, Dalugama Kelaniya, Sri Lanka)

Abstract

The purpose of this paper is to investigate how does the behavioral biases differ among the individual and institutional investors based on Colombo Stock Exchange. The study considers the effect of four behavioral biases; overconfidence bias, representativeness bias, disposition effect and herd mentality bias on the financial investment decision making of individual investors and institutional investors. Design / methodology / approach: A questionnaire was utilized to collect the data and the final sample consisted with 104 individual and 71 institutional respondents. The data of 175 investors was analyzed by using Partial Least Square-Structural Equation Modeling approach. Findings: The study revealed that disposition effect make an impact on the investment decisions of both individual investors and institutional investors whereas overconfidence bias has impact only on the individual investors' investment decisions. Originality: This study is one of the pioneering studies examining the behavioral biases differences of individual and institutional investors' decision making. Thus, this study expands the existing literature in the field of behavioral finance particularly in emerging market context. In this sense, the findings of this study could draw important inferences for researchers, investors and policy makers to ensure that they make rational investments decisions.

Suggested Citation

  • Roshani Chamalka Gunathilaka & J. M. Ruwani Fernando, 2021. "Do behavioral biases differ among institutional and individual investors?," Oblik i finansi, Institute of Accounting and Finance, issue 2, pages 61-73, June.
    • Handle: RePEc:iaf:journl:y:2021:i:2:p:61-73
    DOI: 10.33146/2307-9878-2021-2(92)-61-73
    as

    Download full text from publisher

    File URL: http://www.afj.org.ua/pdf/831-chi-vidriznyayutsya-povedinkovi-uperedzhennya-instituciynih-ta-individualnih-investoriv.pdf
    Download Restriction: no
    File URL: http://www.afj.org.ua/en/article/831/
    Download Restriction: no
    File URL: https://libkey.io/10.33146/2307-9878-2021-2(92)-61-73?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
    ---><---

    References listed on IDEAS

    as
    1. Phil Holmes & Vasileios Kallinterakis & M P Leite Ferreira, 2013. "Herding in a Concentrated Market: a Question of Intent," European Financial Management, European Financial Management Association, vol. 19(3), pages 497-520, June.
    2. Cici, Gjergji, 2012. "The Prevalence of the Disposition Effect in Mutual Funds’ Trades," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 795-820, August.
    3. Naveeda K. Katper & Muhammad Azam & Nazima Abdul Karim & Syeda Zinnaira Zia, 2019. "Behavioral biases and investors’ decision-making: The moderating role of socio-demographic variables," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-15, September.
    4. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    5. Megumi Suto & Masashi Toshino, 2005. "Behavioural Biases of Japanese Institutional Investors: fund management and corporate governance," Corporate Governance: An International Review, Wiley Blackwell, vol. 13(4), pages 466-477, July.
    6. Chou, Robin K. & Wang, Yun-Yi, 2011. "A test of the different implications of the overconfidence and disposition hypotheses," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2037-2046, August.
    7. Nelson Maina Waweru & Evelyne Munyoki & Enrico Uliana, 2008. "The effects of behavioural factors in investment decision-making: a survey of institutional investors operating at the Nairobi Stock Exchange," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 1(1), pages 24-41.
    8. Schmeling, Maik, 2007. "Institutional and individual sentiment: Smart money and noise trader risk?," International Journal of Forecasting, Elsevier, vol. 23(1), pages 127-145.
    9. repec:bla:germec:v:11:y:2010:i::p:418-440 is not listed on IDEAS
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    12. Sarika Keswani & Vippa Dhingra & Bharti Wadhwa, 2019. "Impact of Behavioral Factors in Making Investment Decisions and Performance: Study on Investors of National Stock Exchange," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(8), pages 1-80, August.
    13. Imran Umer Chhapra & Muhammad Kashif & Raja Rehan & Ashow Bai, 2018. "An empirical investigation of investors behavioral biases on financial decision making," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 8(3), pages 99-109, March.
    14. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.
    15. Menkhoff Lukas & Schmeling Maik & Schmidt Ulrich, 2010. "Are All Professional Investors Sophisticated?," German Economic Review, De Gruyter, vol. 11(4), pages 418-440, December.
    16. Chiao-Yi Chang & Hsiang-Lan Chen & Zong-Ru Jiang, 2012. "Portfolio Performance in Relation to Herding Behavior in the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 82-104, July.
    17. Hsieh, Shu-Fan, 2013. "Individual and institutional herding and the impact on stock returns: Evidence from Taiwan stock market," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 175-188.
    18. Sam Wylie, 2005. "Fund Manager Herding: A Test of the Accuracy of Empirical Results Using U.K. Data," The Journal of Business, University of Chicago Press, vol. 78(1), pages 381-403, January.
    19. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
    Full references (including those not matched with items on IDEAS)

    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. Rafał Wolski & Monika Bolek & Jerzy Gajdka & Janusz Brzeszczyński & Ali M. Kutan, 2023. "Do investment fund managers behave rationally in the light of central bank communication? Survey evidence from Poland," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(5), pages 757-794, February.
    2. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    3. Tao Chen, 2022. "A cross‐country study on informed herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4336-4349, October.
    4. Youssef, Mouna & Mokni, Khaled, 2018. "On the effect of herding behavior on dependence structure between stock markets: Evidence from GCC countries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 52-63.
    5. Shashank Kathpal & Asif Akhtar & Asma Zaheer & Mohd Naved Khan, 2021. "Covid-19 and heuristic biases: evidence from India," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 305-316, December.
    6. Suresh G., 2024. "Impact of Financial Literacy and Behavioural Biases on Investment Decision-making," FIIB Business Review, , vol. 13(1), pages 72-86, January.
    7. Guo, Jiaqi & Holmes, Phil & Altanlar, Ali, 2020. "Is herding spurious or intentional? Evidence from analyst recommendation revisions and sentiment," International Review of Financial Analysis, Elsevier, vol. 71(C).
    8. 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.
    9. K.S. Muehlfeld & G.U. Weitzel & A. van Witteloostuijn, 2012. "Fight or freeze? Individual differences in investors’ motivational systems and trading in experimental asset markets," Working Papers 12-18, Utrecht School of Economics.
    10. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    11. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    12. Marius Popescu & Zhaojin Xu, 2018. "Leading the herd: evidence from mutual funds’ buy and sell decisions," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1131-1146, May.
    13. Gemayel, Roland & Preda, Alex, 2018. "Does a scopic regime erode the disposition effect? Evidence from a social trading platform," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 175-190.
    14. Philipp Stephan & Rüdiger Nitzsch, 2013. "Do individual investors’ stock recommendations in online communities contain investment value?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(2), pages 149-186, June.
    15. Janssen, Dirk-Jan & Li, Jiangyan & Qiu, Jianying & Weitzel, Utz, 2020. "The disposition effect and underreaction to private information," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    16. Charilaos Mertzanis & Noha Allam, 2018. "Political Instability and Herding Behaviour: Evidence from Egypt’s Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1), pages 29-59, April.
    17. Kusen, Alex & Rudolf, Markus, 2019. "Feedback trading: Strategies during day and night with global interconnectedness," Research in International Business and Finance, Elsevier, vol. 48(C), pages 438-463.
    18. Yogita Singh & Mohd. Adil & S. M. Imamul Haque, 2023. "Personality traits and behaviour biases: the moderating role of risk-tolerance," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3549-3573, August.
    19. Rau, Holger A., 2015. "The disposition effect in team investment decisions: Experimental evidence," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 272-282.
    20. Gutiérrez-Nieto, Begoña & Ortiz, Cristina & Vicente, Luis, 2023. "A bibliometric analysis of the disposition effect: Origins and future research avenues," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).

    More about this item

    Keywords

    Overconfidence bias; Representativeness bias; Herd-mentality bias; Disposition effect; Individual investors; Institutional investors;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: 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:iaf:journl:y:2021:i:2:p:61-73. 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: Serhiy Ostapchuk (email available below). General contact details of provider: https://edirc.repec.org/data/iafkvua.html .

    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.