Exploring the Relationship Between Emerging Behavioral Biases and Investment Decisions

In this research, three behavioural biases namely Temporal Focus, Authority, and Echo Chamber are examined concerning the individual investment decisions made in the Indian financial market.It's important to know the way these biases affect self-directed investors and cause them to make poor financial decisions.Through the analysis of the effects of these biases, the present research offers increased awareness of investor behaviour in India and recommendations for moderating the biases in the financial markets.Modeling(SEM) as well as regression analysis is employed in assessing these biases and the short-and-long term investment behaviors.Based on the findings, temporal focus has a positive correlation with long term orientation and investment while biases such as the authority has a negative correlation with long term investment and more so, long term rationality.The Echo Chamber effect is the continuation of the herd behavior.Retail Indian investors' behavioral biases are crucial for financial advisors and wealth managers to know since it will help them to help Indian investors to overcome some of these biases when making their investment decisions so that they have better portfolio performance.This paper differs from existing literature in the following ways: It introduces and explores new behavioral biases, such as [insert names of new biases], and analyzes how these, along with existing biases, cumulatively affect Indian investors in the financial market.The present research contributes to the evolving concepts of investor psychology in financial markets by incorporating these novel biases and offers managerial implications to enhance investors' decision-making processes. The study adopts a quantitative technique since it uses a structured questionnaires completed by 350 individual investors in the Indian financial market. It also establishes how the chosen behavioural biases affect investment decisions by carrying out a survey. A path analysis tool known as the Structural Equation

Authors

Publication Details

Published
2025-01-27
DOI
https://doi.org/10.26573/2025.22.1.5
Primary Topic
Leadership, Behavior, and Decision-Making Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Relationship Between Emerging Behavioral Biases and Investment Decisions

Lakshmi Patibandla, Phani Kumar Katuri
Leadership, Behavior, and Decision-Making Studies
article

Exploring the Relationship Between Emerging Behavioral Biases and Investment Decisions

Lakshmi Patibandla, Phani Kumar Katuri
article en

Abstract

In this research, three behavioural biases namely Temporal Focus, Authority, and Echo Chamber are examined concerning the individual investment decisions made in the Indian financial market.It's important to know the way these biases affect self-directed investors and cause them to make poor financial decisions.Through the analysis of the effects of these biases, the present research offers increased awareness of investor behaviour in India and recommendations for moderating the biases in the financial markets.Modeling(SEM) as well as regression analysis is employed in assessing these biases and the short-and-long term investment behaviors.Based on the findings, temporal focus has a positive correlation with long term orientation and investment while biases such as the authority has a negative correlation with long term investment and more so, long term rationality.The Echo Chamber effect is the continuation of the herd behavior.Retail Indian investors' behavioral biases are crucial for financial advisors and wealth managers to know since it will help them to help Indian investors to overcome some of these biases when making their investment decisions so that they have better portfolio performance.This paper differs from existing literature in the following ways: It introduces and explores new behavioral biases, such as [insert names of new biases], and analyzes how these, along with existing biases, cumulatively affect Indian investors in the financial market.The present research contributes to the evolving concepts of investor psychology in financial markets by incorporating these novel biases and offers managerial implications to enhance investors' decision-making processes. The study adopts a quantitative technique since it uses a structured questionnaires completed by 350 individual investors in the Indian financial market. It also establishes how the chosen behavioural biases affect investment decisions by carrying out a survey. A path analysis tool known as the Structural Equation

Openalex Percentile: Top 98%
Leadership, Behavior, and Decision-Making Studies
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.

Exploring the Relationship Between Emerging Behavioral Biases and Investment Decisions — Lakshmi Patibandla, Phani Kumar Katuri · (2025) | TGRS Research Map | TGRS