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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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BEHAVIORAL FINANCE: HOW EMOTIONS INFLUENCE INVESTMENT DECISIONS

Authors: Dr. P. Hima Jagathi, B. Samuel Posnet, B. Hemanth and M. Vasu4;

BEHAVIORAL FINANCE: HOW EMOTIONS INFLUENCE INVESTMENT DECISIONS

Abstract

Behavioral finance has emerged as a critical field challenging the traditional rational actor model of economic decision-making. This research paper investigates how emotions and psychological biases fundamentally influence investment decisions among retail investors. Through a mixed-methods approach combining quantitative survey analysis (n=60 respondents) and qualitative behavioral pattern assessment, this study identifies three primary emotional drivers—fear, overconfidence, and regret—and four major cognitive biases—loss aversion, herding behavior, overconfidence bias, and recency bias—that distort investment choices. The study reveals that 70% of surveyed investors acknowledge emotions significantly affect their investment decisions, with younger investors (18–25 years) showing higher emotional volatility and lower risk management discipline. Key findings demonstrate that investors with higher emotional awareness and experience make more rational decisions, while those subject to strong emotional reactions exhibit patterns of panic selling, overtrading, and herd-following behavior. This research provides empirical evidence that emotional intelligence and systematic investment processes can mitigate behavioral biases, offering practical strategies for both individual investors and financial advisors to build more disciplined, long-term investment approaches. Keywords: Behavioral finance, investor psychology, emotions, cognitive biases, loss aversion, overconfidence, herding behavior, investment decision-making, financial markets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green