Market analysis of life insurance companies in nepal
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Abstract
This study investigates the market dynamics of life insurance companies in Nepal,
focusing on how key factors influence consumer behavior and investment decisions. The
research aims to provide insights into how financial security, risk sharing, low transaction
expenses, systematic investment, returns, and portfolio management collectively shape
customer choices and contribute to broader trends in Nepal‘s life insurance market.
Primary data were collected from 408 respondents through structured questionnaires
administered online and in person. The data were processed using Microsoft Excel and
SPSS, employing descriptive statistics, correlation analysis, and multivariate regression
models to evaluate relationships between variables. Descriptive results revealed that
respondents generally agreed with all the proposed factors, with Portfolio Management
and Returns receiving the highest average scores.
Inferential analysis confirmed strong positive correlations between all independent
variables and the dependent variable Life Insurance Investment Decision. Regression
results showed that Portfolio Management (β = 0.381), Systematic Investment (β =
0.194), Returns (β = 0.177), and Risk Sharing (β = 0.131) significantly influenced
investment decisions (p < 0.05), while Financial Security and Low Transaction Expenses
did not have a statistically significant impact. The model demonstrated a high
explanatory power with an adjusted R-squared value of 82.3%, and no issues of
multicollinearity were observed.
These findings highlight Portfolio Management as the most influential factor driving life
insurance investment decisions in Nepal. The results offer practical implications for
insurance companies to tailor products, enhance consumer engagement, and promote
structured, return-oriented investment plans. This study contributes to a deeper
understanding of customer behavior in Nepal‘s evolving insurance sector.
Keywords: Life insurance, financial security, risk sharing, low transaction expenses and
portfolio management.
