Impact of Behavioural Biases on Investment Decision-Making: Evidence from Investors

The objective of this study is to investigate how behavioural biases affect the decisions that individual investors make when making investments. To address the objective, researchers used a sample of 201 individual investors as the primary data source. The data was collected using an online survey utilising a convenience sampling approach and analysed using Partial Least Squares (Smart-PLS). The study found that Anchoring Bias, Endowment Effect and Loss Aversion substantially impact investors’ decision-making, resulting in the overvaluation of assets and the avoidance of prospective losses. Failure to overcome these biases might result in making less-than-ideal decisions. The Ambiguity Effect does not substantially influence investing choices, indicating that investors give more importance to familiar biases and risks rather than ambiguity. Financial professionals must acknowledge and comprehend these biases to develop tactics that lead to better-informed investment choices and enhanced results. This research lies at the intersection of cognitive biases in behavioural finance with financial decisions made by individual investors, contributing to developing a theoretical framework. The four behavioural biases that are most frequently seen have been included in this research. Therefore, the discoveries may be advantageous to individual investors in enhancing their financial decision-making process by mitigating these biases and fostering a more comprehensive comprehension of them. Subsequent researchers should examine the influence of other biases and investigate their effects on institutional investors.

Authors

Publication Details

Journal
International Journal of Banking Risk and Insurance
Published
2025-01-01
DOI
https://doi.org/10.21863/ijbri/2025.13.2.008
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Behavioural Biases on Investment Decision-Making: Evidence from Investors

Hanumantha Reddy D T, Rakshika Rakshika
International Journal of Banking Risk and Insurance
Market Dynamics and Volatility
article

Impact of Behavioural Biases on Investment Decision-Making: Evidence from Investors

Hanumantha Reddy D T, Rakshika Rakshika
article en

Abstract

The objective of this study is to investigate how behavioural biases affect the decisions that individual investors make when making investments. To address the objective, researchers used a sample of 201 individual investors as the primary data source. The data was collected using an online survey utilising a convenience sampling approach and analysed using Partial Least Squares (Smart-PLS). The study found that Anchoring Bias, Endowment Effect and Loss Aversion substantially impact investors’ decision-making, resulting in the overvaluation of assets and the avoidance of prospective losses. Failure to overcome these biases might result in making less-than-ideal decisions. The Ambiguity Effect does not substantially influence investing choices, indicating that investors give more importance to familiar biases and risks rather than ambiguity. Financial professionals must acknowledge and comprehend these biases to develop tactics that lead to better-informed investment choices and enhanced results. This research lies at the intersection of cognitive biases in behavioural finance with financial decisions made by individual investors, contributing to developing a theoretical framework. The four behavioural biases that are most frequently seen have been included in this research. Therefore, the discoveries may be advantageous to individual investors in enhancing their financial decision-making process by mitigating these biases and fostering a more comprehensive comprehension of them. Subsequent researchers should examine the influence of other biases and investigate their effects on institutional investors.

International Journal of Banking Risk and InsuranceVol. 13(2)
Openalex Percentile: Top 83%
Market Dynamics and Volatility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.