Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{179775,
author = {Mr. Ravi Chavan and Om Rajan Pagade and Mr. Laxman Pawar},
title = {A Study on Financial Literacy and Investment Behaviour of Corporate Employees in Belagavi City},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {12},
pages = {8644-8648},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=179775},
abstract = {This study titled "A Study on Financial
Literacy and Investment Behaviour of Corporate
Employees" investigates the financial knowledge and
investment patterns of corporate employees in Belagavi
city. Financial literacy is essential in guiding informed
financial decision-making, influencing savings habits,
risk preferences, and long-term financial security. The
research employs a descriptive design using stratified
random sampling, collecting both primary data
through structured questionnaires and secondary data
from financial literature. Data analysis using SPSS and
Excel reveals that while most employees exhibit
moderate financial literacy, there is limited engagement
in
advanced investment strategies. Preferred
investment avenues include low-to-moderate-risk
options like fixed deposits, mutual funds, and gold,
whereas high-risk instruments like equities remain
underutilized. Challenges identified include limited
financial advisory services, high expenses, time
constraints, and fear of fraud. The study concludes that
enhancing financial education, promoting investment
diversification, and integrating digital financial tools
can significantly improve the financial behaviour and
well-being of corporate employees. These measures not
only benefit individuals but also contribute to the
broader economic resilience of the corporate sector.},
keywords = {},
month = {May},
}
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