IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/118105.html

How Do Bangladeshi Investors Take Decisions? An Ethnographic Decision Tree Model of Stock Selection

Author

Listed:
  • Chowdhury, Ashiqul Haq
  • Priyo, Asad Karim Khan

Abstract

The study explores the decision making process of Bangladeshi stock market investors. We interview 31 investors currently holding stock portfolio in the Dhaka Stock Exchange (DSE) to understand their choices and decision making process. Based on the findings, we develop an Ethnographic Decision Tree Model (EDTM) of Stock Selection. We find that a stock usually comes to an investor’s attention through news/ rumors or suggestions received from family/ friends/ broker or on the basis of past experience. Information use often depends on trust and the necessity to act on it immediately. In an active search process, ‘filter’ criteria are used to reduce the choice set of stocks for further evaluation. The nature of evaluation depends on whether investors look to invest for the long or the short term. Finally, stock selection depends on whether investors perceive the stock to be undervalued and whether the stock fits her/ his investment strategy. We also find that collective intelligence affects an individual’s investment decision and trustworthiness of the information source is a key factor in determining her/ his investment behavior.

Suggested Citation

  • Chowdhury, Ashiqul Haq & Priyo, Asad Karim Khan, 2019. "How Do Bangladeshi Investors Take Decisions? An Ethnographic Decision Tree Model of Stock Selection," MPRA Paper 118105, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:118105
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/118105/1/Revised_Chowdhury_Priyo.EDTM_MPRA.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Fairweather, 1999. "Understanding how farmers choose between organic and conventional production: Results from New Zealand and policy implications," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 16(1), pages 51-63, March.
    2. Luigi Guiso & Tullio Jappelli & Mario Padula & Marco Pagano, 2004. "Financial market integration and economic growth in the EU [‘International measures of schooling years and schooling quality’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 19(40), pages 524-577.
    3. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    4. repec:bla:ecpoli:v:19:y:2004:i:40:p:523-577 is not listed on IDEAS
    5. Cohn, Richard A, et al, 1975. "Individual Investor Risk Aversion and Investment Portfolio Composition," Journal of Finance, American Finance Association, vol. 30(2), pages 605-620, May.
    6. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    7. Slovic, Paul & Fleissner, Dan & Bauman, W Scott, 1972. "Analyzing the Use of Information in Investment Decision Making: A Methodological Proposal," The Journal of Business, University of Chicago Press, vol. 45(2), pages 283-301, April.
    8. Geoffrey P. Clarkson & Allan H. Meltzer, 1960. "Portfolio Selection: A Heuristic Approach," Journal of Finance, American Finance Association, vol. 15(4), pages 465-480, December.
    9. Loibl, Cäzilia & Hira, Tahira K., 2009. "Investor information search," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 24-41, February.
    10. Md. Al Mamun & Md. Abu Syeed & Farida Yasmeen, 2015. "Are investors rational, irrational or normal?," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 3(4), pages 1-15, August.
    11. Lewellen, Wilbur G & Lease, Ronald C & Schlarbaum, Gary G, 1977. "Patterns of Investment Strategy and Behavior among Individual Investors," The Journal of Business, University of Chicago Press, vol. 50(3), pages 296-333, July.
    12. Bouwman, Marinus J. & Frishkoff, Patricia A. & Frishkoff, Paul, 1987. "How do financial analysts make decisions? A process model of the investment screening decision," Accounting, Organizations and Society, Elsevier, vol. 12(1), pages 1-29, January.
    13. Baker, H Kent & Haslem, John A, 1974. "Toward the Development of Client-Specified Valuation Models," Journal of Finance, American Finance Association, vol. 29(4), pages 1255-1263, September.
    14. 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.
    15. Asma Mobarek & A. Sabur Mollah & Rafiqul Bhuyan, 2008. "Market Efficiency in Emerging Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(1), pages 17-41, January.
    16. Tversky, Amos & Kahneman, Daniel, 1986. "Rational Choice and the Framing of Decisions," The Journal of Business, University of Chicago Press, vol. 59(4), pages 251-278, October.
    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. Nazreen Tabassum Chowdhury & Nurul Shahnaz Mahdzan & Mahfuzur Rahman, 2024. "Beyond Intuition: The Role of Financial Knowledge in Navigating Investments in Emerging Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 267-281, July.

    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. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    2. Bharati Singh, 2021. "A Bibliometric Analysis of Behavioral Finance and Behavioral Accounting," American Business Review, Pompea College of Business, University of New Haven, vol. 24(2), pages 198-230.
    3. Pascual-Ezama, David & Paredes, Mercedes Rodríguez & Sanchez-Martín, María-del-Pilar & de Liaño, Beatriz Gil-Gómez, 2018. "Shorter and easier is more useful: A longitudinal analysis of how financial report enforcement affects individual investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 74(C), pages 29-37.
    4. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    5. Bui, Dien Giau & Hasan, Iftekhar & Lin, Chih-Yung & Zhai, Rui-Xiang, 2022. "Income, trading, and performance: Evidence from retail investors," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 176-195.
    6. Pereira Reichhardt, Joaquín & Iqbal, Tabassum, 2014. "Investment Decisions: Are we fully-Rational?," MPRA Paper 57686, University Library of Munich, Germany.
    7. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    8. Mohrschladt, Hannes, 2021. "The ordering of historical returns and the cross-section of subsequent returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
    9. André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
    10. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    11. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, January.
    12. Minxing Sun & Weike Xu, 2024. "Short selling and readability in financial disclosures: A controlled experiment," The Financial Review, Eastern Finance Association, vol. 59(2), pages 265-292, May.
    13. Hervé, Fabrice & Zouaoui, Mohamed & Belvaux, Bertrand, 2019. "Noise traders and smart money: Evidence from online searches," Economic Modelling, Elsevier, vol. 83(C), pages 141-149.
    14. 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.
    15. Hoang, Lai & Vo, Duc Hong, 2024. "Google search and cross-section of cryptocurrency returns and trading activities," Journal of Behavioral and Experimental Finance, Elsevier, vol. 44(C).
    16. Giuseppe Pernagallo & Benedetto Torrisi, 2020. "A theory of information overload applied to perfectly efficient financial markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 223-236, October.
    17. Wright, Calvin & Swidler, Steve, 2023. "Abnormal trading volume, news and market efficiency: Evidence from the Jamaica Stock Exchange," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Ralf Gerhardt & Steffen Meyer, 2013. "The effect of personal portfolio reporting on private investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 257-273, September.
    19. 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.
    20. Gaétan Breton & Alain Schatt, 2000. "Rôle et caractérisation de l’analyse financière," Revue d'Économie Financière, Programme National Persée, vol. 59(4), pages 147-161.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:pra:mprapa:118105. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.