IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-96-6998-1_2.html
   My bibliography  Save this book chapter

Empirical Evidence of Behavioral Biases in Investment: Should We Be Looking for Financial Variables to Moderate Them?

In: Economics and Finance Readings

Author

Listed:
  • Parinaaz Mehta

    (Kirit P Mehta School of Law, Narsee Monjee Institute of Management Studies)

  • Nishta Nahata

    (Deutsche Bank)

Abstract

Behavioral finance integrates cognitive psychology into financial decision-making, challenging the rational assumptions of traditional finance. This study investigates the presence and intensity of cognitive and emotional biases among Indian investors, focusing on variations across age, gender, and education levels. Using a descriptive research design, data was collected through a structured questionnaire targeting 151 respondents from urban areas in India who actively engage in investment activities. The survey included hypothetical scenarios to identify eight key biases, such as loss aversion, overconfidence, and conservatism. Descriptive, graphical, and cross-sectional analyses were employed to evaluate the findings. Results reveal that cognitive biases are more prevalent than emotional biases, significantly influencing investment decisions. This research provides insights for financial intermediaries to address these biases effectively, emphasizing the importance of moderating variables to enhance rational decision-making and mitigate the impact of behavioral biases.

Suggested Citation

  • Parinaaz Mehta & Nishta Nahata, 2025. "Empirical Evidence of Behavioral Biases in Investment: Should We Be Looking for Financial Variables to Moderate Them?," Springer Books, in: Evan Lau & Jaime Moll de Alba & Lee Ming Tan (ed.), Economics and Finance Readings, pages 15-34, Springer.
  • Handle: RePEc:spr:sprchp:978-981-96-6998-1_2
    DOI: 10.1007/978-981-96-6998-1_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-981-96-6998-1_2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.