Understanding the Key Drivers of Systematic Investment Plan Investment Behavior

This study aims to examine the key determinants of Systematic Investment Plan (SIP) investment behavior in Nepal, specifically focusing on the relationship between various influencing factors and investment decisions. The study uses both descriptive and causal research designs to explore the connection between factors such as investment behavior, risk tolerance, awareness level, investment objective, and financial freedom with SIP investment. The research was conducted with a sample of 99 young investors from Kathmandu, Nepal, using a structured questionnaire and employing Correlation, and Regression Analysis techniques. The demographic profile of respondents highlights a predominantly young, low-income group engaged in SIP investments, with a significant portion being undergraduates and students. The findings reveal that financial freedom (FF) has the strongest positive correlation with SIP investment, followed by awareness level (AL) and investment objective (IO). In contrast, investment behavior (IB) and risk tolerance (RT) exhibit weaker correlations. Regression analysis further confirms that financial freedom is the most significant predictor of SIP investment behavior, with a notable positive effect. Other variables, such as awareness level and investment objective, while correlated with SIP, do not show statistically significant effects in the regression model. The study underscores the importance of financial freedom and awareness in influencing SIP investment behavior, providing insights into how these factors can be leveraged to promote greater participation in systematic investment plans.

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Publication Details

Journal
NPRC Journal of Multidisciplinary Research.
Published
2024-11-21
DOI
https://doi.org/10.3126/nprcjmr.v1i6.71814
Citations
1
Primary Topic
Intellectual Capital and Performance Analysis
Type
article
Field-Weighted Citation Impact
0.55
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article

Understanding the Key Drivers of Systematic Investment Plan Investment Behavior

Sajeeb Kumar Shrestha, Jitendra Bhatta
1 citations
NPRC Journal of Multidisciplinary Research.
Intellectual Capital and Performance Analysis
0.55
article

Understanding the Key Drivers of Systematic Investment Plan Investment Behavior

Sajeeb Kumar Shrestha, Jitendra Bhatta
article en
1 citations

Abstract

This study aims to examine the key determinants of Systematic Investment Plan (SIP) investment behavior in Nepal, specifically focusing on the relationship between various influencing factors and investment decisions. The study uses both descriptive and causal research designs to explore the connection between factors such as investment behavior, risk tolerance, awareness level, investment objective, and financial freedom with SIP investment. The research was conducted with a sample of 99 young investors from Kathmandu, Nepal, using a structured questionnaire and employing Correlation, and Regression Analysis techniques. The demographic profile of respondents highlights a predominantly young, low-income group engaged in SIP investments, with a significant portion being undergraduates and students. The findings reveal that financial freedom (FF) has the strongest positive correlation with SIP investment, followed by awareness level (AL) and investment objective (IO). In contrast, investment behavior (IB) and risk tolerance (RT) exhibit weaker correlations. Regression analysis further confirms that financial freedom is the most significant predictor of SIP investment behavior, with a notable positive effect. Other variables, such as awareness level and investment objective, while correlated with SIP, do not show statistically significant effects in the regression model. The study underscores the importance of financial freedom and awareness in influencing SIP investment behavior, providing insights into how these factors can be leveraged to promote greater participation in systematic investment plans.

NPRC Journal of Multidisciplinary Research.Vol. 1(6)
Tribhuvan University (NP)
Openalex Percentile: Top 20%
Intellectual Capital and Performance Analysis
0.55
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