Evaluation of demographic variables and their impact on financial risk tolerance among women

This empirical research examined variations in financial risk tolerance (FRT) among Saudi Arabian women based on demographics such as age, education, work experience, monthly income, occupation, place of residence, and region. It explored the relationship between these characteristics and women investors’ risk tolerance (RT) in investment decisions (Hermansson & Jonsson, 2021). Limited studies have addressed women investors’ demographic characteristics and risk perceptions in Saudi Arabia. This study identified key factors influencing different categories of women investors, collecting data from 607 female participants and using the FRT scale to quantitatively assess financial risk dimensions (Hemrajani et al., 2023). Online questionnaires were distributed via Google Forms. A multinomial logistic regression model was employed. The findings indicated a significant positive influence of certain demographics on FRT. Moderate risk scores notably impacted marital status, employment, and residence. Age, marital status, and educational attainment significantly influenced above-average risk scores. High-risk scores were significantly associated with age, marital status, and educational attainment. Employment status, work experience, geographic area, and residential location were also significantly related to FRT scores. The study highlighted differences in FRT based on geographical location, offering valuable insights for policymakers and investors to advance Saudi Arabia’s financial sector.

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Publication Details

Journal
Risk Governance and Control Financial Markets & Institutions
Published
2025-07-16
DOI
https://doi.org/10.22495/rgcv15i3p5
Citations
1
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
Field-Weighted Citation Impact
3.91
Controls
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article

Evaluation of demographic variables and their impact on financial risk tolerance among women

Rohit Bansal, Yasmeen Ansari
1 citations
Risk Governance and Control Financial Markets & Institutions
Financial Literacy, Pension, Retirement Analysis
3.91
article

Evaluation of demographic variables and their impact on financial risk tolerance among women

Rohit Bansal, Yasmeen Ansari
article en
1 citations

Abstract

This empirical research examined variations in financial risk tolerance (FRT) among Saudi Arabian women based on demographics such as age, education, work experience, monthly income, occupation, place of residence, and region. It explored the relationship between these characteristics and women investors’ risk tolerance (RT) in investment decisions (Hermansson & Jonsson, 2021). Limited studies have addressed women investors’ demographic characteristics and risk perceptions in Saudi Arabia. This study identified key factors influencing different categories of women investors, collecting data from 607 female participants and using the FRT scale to quantitatively assess financial risk dimensions (Hemrajani et al., 2023). Online questionnaires were distributed via Google Forms. A multinomial logistic regression model was employed. The findings indicated a significant positive influence of certain demographics on FRT. Moderate risk scores notably impacted marital status, employment, and residence. Age, marital status, and educational attainment significantly influenced above-average risk scores. High-risk scores were significantly associated with age, marital status, and educational attainment. Employment status, work experience, geographic area, and residential location were also significantly related to FRT scores. The study highlighted differences in FRT based on geographical location, offering valuable insights for policymakers and investors to advance Saudi Arabia’s financial sector.

Risk Governance and Control Financial Markets & InstitutionsVol. 15(3)
Saudi Electronic University (SA), Rajiv Gandhi Institute of Petroleum Technology (IN)
Gender equality, Decent work and economic growth
Openalex Percentile: Top 7%
Financial Literacy, Pension, Retirement Analysis
3.91
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