UNLOCKING STOCK MARKET ACCESS: EVALUATING THE ROLE OF FINANCIAL LITERACY PROGRAMS IN EMPOWERING LOW-INCOME COMMUNITIES

The present work aims at analyzing the effects of developing financial literacy programs on the level of engagement of the subpopulation with the stock market. To this end, the study aims at evaluating the impact of financial literacy campaigns in educating a targeted population so as to understand whether the targeted group will more likely to participate in stock market investments. Based on the Cochran’s formula, 408 participants are going to be surveyed regarding financial literacy and stock market investment. In evaluating the data collected the study uses statistical techniques such as regression and ANOVA. The findings are expected to contribute towards policy and programme development that would enhance access to financial services.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-21
DOI
https://doi.org/10.5281/zenodo.14539790
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
Field-Weighted Citation Impact
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article

UNLOCKING STOCK MARKET ACCESS: EVALUATING THE ROLE OF FINANCIAL LITERACY PROGRAMS IN EMPOWERING LOW-INCOME COMMUNITIES

Zenodo (CERN European Organization for Nuclear Research)
Financial Literacy, Pension, Retirement Analysis
article

UNLOCKING STOCK MARKET ACCESS: EVALUATING THE ROLE OF FINANCIAL LITERACY PROGRAMS IN EMPOWERING LOW-INCOME COMMUNITIES

article en

Abstract

The present work aims at analyzing the effects of developing financial literacy programs on the level of engagement of the subpopulation with the stock market. To this end, the study aims at evaluating the impact of financial literacy campaigns in educating a targeted population so as to understand whether the targeted group will more likely to participate in stock market investments. Based on the Cochran’s formula, 408 participants are going to be surveyed regarding financial literacy and stock market investment. In evaluating the data collected the study uses statistical techniques such as regression and ANOVA. The findings are expected to contribute towards policy and programme development that would enhance access to financial services.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 44%
Financial Literacy, Pension, Retirement Analysis
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