IDEAS home Printed from https://ideas.repec.org/a/air/journl/v11y2024i4p350.html

Exploring the Sense of Overconfidence Bias on Investment Decisions: Insight from The Retail Investors of Bangladesh

Author

Listed:
  • Md. Yousuf Ahammed
  • Shayla Tazminur

Abstract

Investment decisions are influenced by several rational and irrational factors. The most common irrational phenomena are behavioral biases, such as overconfidence or herding bias. This paper intends to examine the impact of overconfidence bias on investment decisions from the perspective of Bangladeshi retail investors. The current study is based on primary data collected from general investors through a survey of a self-developed questionnaire. For surveying the questionnaire, investors were selected following the convenience sampling technique. Collected data were analyzed using Correlation, OLS Regression, One-way ANOVA, and One sample t-test in SPPSS software. The study found that the investment decision is significantly influenced by the overconfidence bias. They think they can outperform the market and rely on their capability to analyze an investment opportunity. Such behavior could be very harmful to themselves as well as the market stability. The study also found that male investors tend to be more overconfident in their investment decisions than females. The empirical model concludes that there exists significant overconfidence bias among retail investors. This research could be helpful for stakeholders of the capital market to understand the tendency of Bangladeshi investors towards overconfidence bias.

Suggested Citation

Handle: RePEc:air:journl:v:11:y:2024:i:4:p:350
DOI: 10.5281/zenodo.11096482
as

Download full text from publisher

File URL: https://www.ijmae.com/article_194948_7923f0d5c2712986235e0421a6ce9ef0.pdf
Download Restriction: no

File URL: https://libkey.io/10.5281/zenodo.11096482?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
---><---

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:air:journl:v:11:y:2024:i:4:p:350. 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: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.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.