Cognitive Biases on Investment Decisions in the Nepalese Stock Market

This paper analyzes how behavioral biases impact investor decision-making regarding investment opportunities in Nepal. Purposive sampling was adopted, with participants comprising investors in the Nepalese stock market. An explanatory research design was used, employing a quantitative data collection method. The analysis was conducted using the structural equation modeling approach with the SPSS Amos program. The results demonstrated high reliability, discriminant validity, and convergent validity of the developed scale. Behavioral biases such as herding behavior, overconfidence, anchoring, and the disposition effect were found to have positive influences on investment decisions. These findings highlight the need to reduce biases in investment strategies to enhance the quality of decision-making. By incorporating Nepalese market data, this study addresses a significant gap in the literature on behavioral finance. It also provides valuable insights for investors, improving their perceptions and decision-making processes.

Authors

Institutions

Publication Details

Journal
Journal of Nepalese Business Studies
Published
2024-12-31
DOI
https://doi.org/10.3126/jnbs.v17i1.75316
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cognitive Biases on Investment Decisions in the Nepalese Stock Market

Bhim Kumar Thapa
1 citations
Journal of Nepalese Business Studies
Financial Markets and Investment Strategies
0.54
article

Cognitive Biases on Investment Decisions in the Nepalese Stock Market

Bhim Kumar Thapa
article en
1 citations

Abstract

This paper analyzes how behavioral biases impact investor decision-making regarding investment opportunities in Nepal. Purposive sampling was adopted, with participants comprising investors in the Nepalese stock market. An explanatory research design was used, employing a quantitative data collection method. The analysis was conducted using the structural equation modeling approach with the SPSS Amos program. The results demonstrated high reliability, discriminant validity, and convergent validity of the developed scale. Behavioral biases such as herding behavior, overconfidence, anchoring, and the disposition effect were found to have positive influences on investment decisions. These findings highlight the need to reduce biases in investment strategies to enhance the quality of decision-making. By incorporating Nepalese market data, this study addresses a significant gap in the literature on behavioral finance. It also provides valuable insights for investors, improving their perceptions and decision-making processes.

Journal of Nepalese Business StudiesVol. 17(1)
Tribhuvan University (NP)
Openalex Percentile: Top 26%
Financial Markets and Investment Strategies
0.54
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.