The Role of Behavioral Biases in Shaping Investment Decisions: Evidence from the Indian Stock Market

dc.contributor.authorAshish Vaid
dc.date.accessioned2026-06-19T04:35:34Z
dc.date.issued2026-03
dc.description.abstractThis study examines the significant influence of behavioural finance on investment decision making in the stock market, challenging the conventional Efficient Market Hypothesis (EMH). This study conducts a comprehensive evaluation of contemporary research papers and a structured behavioural analysis to identify the predominant cognitive biases specifically overconfidence, representativeness, price anchoring, gambler’s Fallacy, availability, mental accounting, regret aversion and loss aversion. The primary objective of this research is to examine and empirically demonstrate the impact of cognitive biases on stock market investment decisions in major cities of Gujarat. The study employs a questionnaire-based survey of 300 respondents, and the data are analyzed using ADF, correlation, and regression techniques. The findings reveal that majority of cognitive biases have a significant effect on investment decisions in the Indian stock market. The study provides valuable implications for individual investors, financial advisors, and fintech developers striving to promote rational decision-making in markets that are progressively influenced by investor sentiment.
dc.identifier.issn2323-5233
dc.identifier.urihttp://160.160.1.15:4000/handle/123456789/406
dc.language.isoen_US
dc.publisherEuropean Economic Letter
dc.subjectBehavioral Finance
dc.subjectStock Market
dc.subjectInvestment Decision Making
dc.subjectCognitive Biases
dc.subjectProspect and heuristic
dc.titleThe Role of Behavioral Biases in Shaping Investment Decisions: Evidence from the Indian Stock Market
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Research Paper on BF.pdf
Size:
388.88 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.45 KB
Format:
Item-specific license agreed to upon submission
Description:

Collections