IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/29722.html
   My bibliography  Save this paper

Determinants of Individual Investor Behaviour: An Orthogonal Linear Transformation Approach

Author

Listed:
  • Chandra, Abhijeet
  • Kumar, Ravinder

Abstract

Expected utility theory views the individual investment decision as a tradeoff between immediate consumption and deferred consumption. But individuals do not always prefer according to the classical theory of economics. Recent studies on individual investor behavior have shown that they do not act in a rational manner, rather several factors influences their investment decisions in stock market. The present study considers this theory of irrationality of individual investors and investigates into their behaviour relating to investment decisions. We examine whether some psychological and contextual factors affect individual investor behaviour and if yes which factors influences most. Extrapolating from previous literature on economics, finance and psychology, we surveyed individual investors to find what and to what extent affects their investment behaviour. Our conceptual analysis, empirical findings and the perspective framework that we have developed in the present study, provide five major factors that can influence individual investor behaviour in Indian stock market. The findings can be useful in profiling individual investors and designing appropriate investment strategies according to their personal characteristics, thereby enabling them optimum return on their investments.

Suggested Citation

  • Chandra, Abhijeet & Kumar, Ravinder, 2011. "Determinants of Individual Investor Behaviour: An Orthogonal Linear Transformation Approach," MPRA Paper 29722, University Library of Munich, Germany, revised 15 Mar 2011.
    • Handle: RePEc:pra:mprapa:29722
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/29722/1/MPRA_paper_29722.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    2. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    3. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    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. Tuan Derwyn Hamidon & Sampath Kehelwalatenna, 2020. "The Influence of Behavioural Finance Factors and the Moderating Effects of Contextual and Demographic Factors on Individual Investor’s Investment Performance," Accounting and Finance Research, Sciedu Press, vol. 9(3), pages 101-101, August.

    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. Bauer, Rob & Cosemans, Mathijs & Eichholtz, Piet, 2009. "Option trading and individual investor performance," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 731-746, April.
    2. Andreas Dietrich & Reto Rey, 2020. "What Matters to Individual Investors: Price Setting in Online Auctions of P2P Consumer Loans," Papers 2003.11347, arXiv.org, revised Dec 2022.
    3. Gehde-Trapp, Monika & Klingler, Linda, 2022. "The effect of sentiment on institutional investors: A gender analysis," CFR Working Papers 22-08, University of Cologne, Centre for Financial Research (CFR).
    4. Chan, Kalok & Wang, Baolian & Yang, Zhishu, 2019. "Why investors do not buy cheaper securities: Evidence from a natural experiment," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 59-76.
    5. Kostopoulos, Dimitrios & Meyer, Steffen, 2018. "Disentangling investor sentiment: Mood and household attitudes towards the economy," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 28-78.
    6. Wang, Wenzhao, 2020. "Institutional investor sentiment, beta, and stock returns," Finance Research Letters, Elsevier, vol. 37(C).
    7. Kazi Iqbal & Asad Islam & John List & Vy Nguyen, 2021. "Myopic Loss Aversion and Investment Decisions: From the Laboratory to the Field," Framed Field Experiments 000730, The Field Experiments Website.
    8. Sheridan Titman & Chishen Wei. Wei & Bin Zhao, 2021. "Corporate Actions and the Manipulation of Retail Investors in China: An Analysis of Stock Splits," NBER Working Papers 29212, National Bureau of Economic Research, Inc.
    9. Kristjan Liivamägi, 2015. "Investor Education and Portfolio Diversification on the Stock Market," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 7(1).
    10. Cupák, Andrej & Fessler, Pirmin & Hsu, Joanne W. & Paradowski, Piotr R., 2022. "Investor confidence and high financial literacy jointly shape investments in risky assets," Economic Modelling, Elsevier, vol. 116(C).
    11. 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.
    12. Pagano, Michael S. & Sedunov, John & Velthuis, Raisa, 2021. "How did retail investors respond to the COVID-19 pandemic? The effect of Robinhood brokerage customers on market quality," Finance Research Letters, Elsevier, vol. 43(C).
    13. Camille Magron & Maxime Merli, 2012. "Stocks repurchase and sophistication of individual investors," Working Papers of LaRGE Research Center 2012-02, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    14. 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.
    15. Edika Quispe-Torreblanca & David Hume & John Gathergood & George Loewenstein & Neil Stewart, 2023. "At the Top of the Mind: Peak Prices and the Disposition Effect," Discussion Papers 2023-09, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    16. Wang, Albert Y. & Young, Michael, 2023. "Mood, attention, and household trading: Evidence from terrorist attacks," Journal of Financial Markets, Elsevier, vol. 66(C).
    17. Gunther Capelle-Blancard, 2018. "What is the Point of (the Hundreds of Thousands of Billions of) Stock Transactions?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 15-33, March.
    18. Oberlechner, Thomas & Osler, Carol, 2012. "Survival of Overconfidence in Currency Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(1), pages 91-113, February.
    19. Wei Jiao, 2020. "Portfolio manager home‐country culture and mutual fund risk‐taking," Financial Management, Financial Management Association International, vol. 49(3), pages 805-838, September.
    20. Juhani T. Linnainmaa, 2011. "Why Do (Some) Households Trade So Much?," The Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1630-1666.

    More about this item

    Keywords

    Individual investor; Psychological biases; Investment behaviour; Indian stock market; Behavioural economics.;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:29722. 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.