Understanding behavioural biases in investment decisions: empirical insights from an emerging market

Given the limited literature on behavioural biases, this study aims to examine the impact of three behavioural biases, specifically halo bias, framing bias, and locus of control on individual investment decision-making in the Pakistan Stock Exchange (PSX). Using a quantitative research approach, data were collected from 414 individual investors of firms listed on the PSX through a self-administered online questionnaire over the period of May 2023 to August 2023. The findings from structural equation modelling (SEM) show that halo bias, framing bias and locus of control positively influence investment decision-making. These findings remained robust across various diagnostic tests. The evidence suggests that policymakers should pay close attention to these behavioural biases to enhance investors’ decisions. Specifically, addressing pitfalls associated with overconfidence and informational framing contribute to mitigate adverse outcomes. Additionally, they should exercise regulatory reforms aimed at reducing the negative impact of such biases to enhance market efficiency in emerging markets, like Pakistan. This research contributes to advance the behavioural finance literature by empirically quantifying the psychological and cognitive determinants of investor behaviour in an emerging market context. Additionally, it offers actionable insights to enhance individual investment decision-making, promote investor protection and support overall market stability.

Authors

Institutions

Publication Details

Journal
Cogent Economics & Finance
Published
2025-10-08
DOI
https://doi.org/10.1080/23322039.2025.2567499
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
2.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding behavioural biases in investment decisions: empirical insights from an emerging market

Arsalan Mujahid Ghouri, Ismail Khan, Mazhar Farid Chishti, Mustafa Rehman Khan et al.
1 citations
Cogent Economics & Finance
Financial Markets and Investment Strategies
2.21
article

Understanding behavioural biases in investment decisions: empirical insights from an emerging market

Arsalan Mujahid Ghouri, Ismail Khan, Mazhar Farid Chishti, Mustafa Rehman Khan, Farhan Ali, Ngan Thi Luong
article en
1 citations

Abstract

Given the limited literature on behavioural biases, this study aims to examine the impact of three behavioural biases, specifically halo bias, framing bias, and locus of control on individual investment decision-making in the Pakistan Stock Exchange (PSX). Using a quantitative research approach, data were collected from 414 individual investors of firms listed on the PSX through a self-administered online questionnaire over the period of May 2023 to August 2023. The findings from structural equation modelling (SEM) show that halo bias, framing bias and locus of control positively influence investment decision-making. These findings remained robust across various diagnostic tests. The evidence suggests that policymakers should pay close attention to these behavioural biases to enhance investors’ decisions. Specifically, addressing pitfalls associated with overconfidence and informational framing contribute to mitigate adverse outcomes. Additionally, they should exercise regulatory reforms aimed at reducing the negative impact of such biases to enhance market efficiency in emerging markets, like Pakistan. This research contributes to advance the behavioural finance literature by empirically quantifying the psychological and cognitive determinants of investor behaviour in an emerging market context. Additionally, it offers actionable insights to enhance individual investment decision-making, promote investor protection and support overall market stability.

Cogent Economics & FinanceVol. 13(1)
London South Bank University (GB), Lahore Garrison University (PK), UCSI University (MY), Sunway University (MY)
Openalex Percentile: Top 10%
Financial Markets and Investment Strategies
2.21
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.

Understanding behavioural biases in investment decisions: empirical insights from an emerging market — Arsalan Mujahid Ghouri, Ismail Khan, et al. · Cogent Economics & Finance (2025) | TGRS Research Map | TGRS