IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v3y2016i1p1232907.html
   My bibliography  Save this article

A comparison between psychological and economic factors affecting individual investor’s decision-making behavior

Author

Listed:
  • Aamir Sarwar
  • Ghadeer Afaf

Abstract

The purpose of this study was to understand and determine the difference between the effects of Psychological and Economic factors on individual investor’s decision-making. To achieve this purpose, questionnaire was used as an instrument to gather primary data from the investors of stock exchange using convenient sampling. Total numbers of responses collected were 254. Factor analysis was applied to find out major contributing components of psychological and economic factors. Main components of psychological factors were contributing 61.671% variance to it and components of economic factor were contributing 56.697% variance to it. Findings show that there is significant relationship of psychological factors and economic factors with individual investor’s decision-making. Regression analysis shows that psychological factors as compared to economic factors have more effect on decision-making behavior. Results of t-test showed that there is no significant relationship between the gender and investment decision-making. Results of one-way ANOVA test showed significant relationship between monthly income level of investors and investment decision-making.

Suggested Citation

  • Aamir Sarwar & Ghadeer Afaf, 2016. "A comparison between psychological and economic factors affecting individual investor’s decision-making behavior," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1232907-123, December.
    • Handle: RePEc:taf:oabmxx:v:3:y:2016:i:1:p:1232907
    DOI: 10.1080/23311975.2016.1232907
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2016.1232907
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23311975.2016.1232907?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. Terrance Odean., 1996. "Volume, Volatility, Price and Profit When All Trader Are Above Average," Research Program in Finance Working Papers RPF-266, University of California at Berkeley.
    2. Nosic, Alen & Weber, Martin, 2007. "Determinants of Risk Taking Behavior: The role of Risk Attitudes, Risk Perceptions and Beliefs," Sonderforschungsbereich 504 Publications 07-56, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    3. Mr. Sunil Sharma & Sushil Bikhchandani, 2000. "Herd Behavior in Financial Markets: A Review," IMF Working Papers 2000/048, International Monetary Fund.
    4. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    5. repec:bla:jfinan:v:53:y:1998:i:6:p:1887-1934 is not listed on IDEAS
    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. Sanmugam Annamalah & Murali Raman & Govindan Marthandan & Aravindan Kalisri Logeswaran, 2019. "An Empirical Study on the Determinants of an Investor’s Decision in Unit Trust Investment," Economies, MDPI, vol. 7(3), pages 1-23, August.
    2. Marvello Yang & Abdullah Al Mamun & Muhammad Mohiuddin & Sayed Samer Ali Al-Shami & Noor Raihani Zainol, 2021. "Predicting Stock Market Investment Intention and Behavior among Malaysian Working Adults Using Partial Least Squares Structural Equation Modeling," Mathematics, MDPI, vol. 9(8), pages 1-16, April.
    3. Blerina Dervishaj & Teftjola Xhaferi, 2020. "The Impact of Psychological Biases on the Decision-making of the Individual Albanian Investor," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 35-46.
    4. Batrancea Larissa, 2020. "Stock Market Reactions To Covid-19: The Case Of Nyse," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 17-23, December.

    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. 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.
    2. Ali Shaddady & Mohammed Alsaggaf, 2020. "Issues that Matter When Behavioral Finance Factors Drive the Largest Initial Public Offering in the Saudi Financial Market," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 106-117.
    3. Kenneth Yung & Yen-Chih Liu, 2009. "Implications of futures trading volume: Hedgers versus speculators," Journal of Asset Management, Palgrave Macmillan, vol. 10(5), pages 318-337, December.
    4. Yosef Bonaparte & Russell Cooper & Mengli Sha, 2019. "Rationalizing Trading Frequency and Returns: Maybe Trading is Good for You," NBER Working Papers 25838, National Bureau of Economic Research, Inc.
    5. Fellner-Röhling, Gerlinde & Krügel, Sebastian, 2014. "Judgmental overconfidence and trading activity," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 827-842.
    6. Hou, Shehong & Niu, Yingjie & Yang, Jinqiang, 2018. "Optimal consumption-portfolio rules with biased beliefs," Economics Letters, Elsevier, vol. 173(C), pages 152-157.
    7. Marco Angrisani & Antonio Guarino & Philippe Jehiel & Toru Kitagawa, 2021. "Information Redundancy Neglect versus Overconfidence: A Social Learning Experiment," American Economic Journal: Microeconomics, American Economic Association, vol. 13(3), pages 163-197, August.
    8. Laurent Germain & Fabrice Rousseau & Anne Vanhems, 2014. "Irrational Market Makers," Finance, Presses universitaires de Grenoble, vol. 35(1), pages 107-145.
    9. Nosic, Alen & Weber, Martin, 2007. "Determinants of Risk Taking Behavior: The role of Risk Attitudes, Risk Perceptions and Beliefs," Sonderforschungsbereich 504 Publications 07-56, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    10. Hirshleifer, David & Luo, Guo Ying, 2001. "On the survival of overconfident traders in a competitive securities market," Journal of Financial Markets, Elsevier, vol. 4(1), pages 73-84, January.
    11. Dennis Dittrich & Werner Guth & Boris Maciejovsky, 2005. "Overconfidence in investment decisions: An experimental approach," The European Journal of Finance, Taylor & Francis Journals, vol. 11(6), pages 471-491.
    12. Deaves, Richard & Lüders, Erik & Schröder, Michael, 2010. "The dynamics of overconfidence: Evidence from stock market forecasters," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 402-412, September.
    13. Itzhak Ben-David & John R. Graham, 2013. "Managerial Miscalibration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(4), pages 1547-1584.
    14. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    15. Glaser, Markus & Nöth, Markus & Weber, Martin, 2003. "Behavioral finance," Papers 03-14, Sonderforschungsbreich 504.
    16. Chuang, Wen-I & Susmel, Rauli, 2011. "Who is the more overconfident trader? Individual vs. institutional investors," Journal of Banking & Finance, Elsevier, vol. 35(7), pages 1626-1644, July.
    17. Ouzan, Samuel, 2020. "Loss aversion and market crashes," Economic Modelling, Elsevier, vol. 92(C), pages 70-86.
    18. Liu, Hongqi & Peng, Cameron & Wei, Xiong & Wei, Xiong, 2022. "Taming the bias zoo," LSE Research Online Documents on Economics 109301, London School of Economics and Political Science, LSE Library.
    19. Dubra, J., 1999. "Overconfidence in Search," Working Papers 99-10, C.V. Starr Center for Applied Economics, New York University.
    20. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.

    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:oabmxx:v:3:y:2016:i:1:p:1232907. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.