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“Advertency of Financial Aspects on Determinants of Investment Practices among Working Professionals”

  • Dr. Dilshad Begum
  • Shreelalitha M S
  • 5321-5326
  • Oct 14, 2025
  • Social Science

“Advertency of Financial Aspects on Determinants of Investment Practices among Working Professionals”

Dr. Dilshad Begum1 Shreelalitha M S2

1Associate professor, Department of commerce and Management Government College (Autonomous) Mandya, Mandya University, Mandya

2Research Scholar, Mandya University, Mandya

DOI: https://dx.doi.org/10.47772/IJRISS.2025.909000431

Received: 01 October 2025; Accepted: 07 October 2025; Published: 14 October 2025

ABSTRACT

Introduction

In today’s dynamic economic environment, the investment behavior of working professionals is increasingly influenced by their awareness and attentiveness—Advertency—to financial aspects. This study examines how such Advertency shapes the determinants of investment practices, including risk perception, expected returns, liquidity preference, and time horizon. Using a quantitative survey method among working professionals from diverse sectors, the research finds a significant correlation between financial Advertency and informed investment decisions, indicating that greater financial awareness enhances portfolio diversification and long-term wealth creation.

Purpose: The purpose of this study, Karnataka is taken as an area of the study. All those salaried individuals of Karnataka whether in government or nongovernment job and those who fall under income tax bracket were consider.

Methodology: The researcher collected 100 samples by using questionnaires included demographic profile of respondents and closed-ended questions and open ended questions regarding the factors on a 5 point Likert scale. The study analyzed by using Chi-Square test (χ2) is: χ2= (o-e) 2/e.

Findings: The result shows that financial planning, budgeting, savings, mutual funds, insurance, and retirement schemes are significantly associated with working professionals. Hence, confirming that advertency of financial aspects strongly influences investment decisions.

Ethics and dissemination:

Working professionals, while often having higher financial literacy than the general public, are still susceptible to the influence of financial advertisements. Several factors determine their investment practices:

Key Words: Financial Literacy, Financial Products, Awareness, Investment Pattern, financial planning, working professionals, risk perception, financial information, financial advisory, investment behavior.

INTRODUCTION

Financial literacy helps individuals to improve their level of understanding of financial matters which enables them to process financial information and make informed decisions about personal finance. Financial literacy is directly related to the well-being of individuals. It is difficult for a common man to understand the risk associated with these financial products. In order to understand risk and return associated with these products, a minimum level of financial literacy is a must. Financially literate individuals can make effective use of these financial products and services by evaluating associated risks and returns and finally choosing those products which are best suited to them. Advertency in this context refers to the attentiveness, caution, and informed approach individuals adopt toward financial matters. Working professionals, often balancing regular income with long-term financial goals, must navigate a complex investment environment. Understanding how their financial Advertency influences investment determinants offers valuable insights for financial literacy programs, policymakers, and financial advisors. In a volatile economic climate marked by rapid changes in financial products, market conditions, and technological advancements, investment decisions demand not only access to financial information but also the ability to process and apply it effectively.

REVIEW OF LITERATURE

Beal and Delpachitra (2003) examined financial literacy of Australian students at the University of Southern Queensland (USQ) in Toowoomba, Queensland. The results of the study suggest that financial literacy was not high among students and the main reason for this was the lack of financial education at the school level. Lusardi and Mitchell (2007) conducted a study for the National Council on Economic Education and found that high school students and working age adults failed to understand basic economics. Respondents faced difficulty in answering questions related to interest rates, inflation and personal finance. Tamimi and Kalli (2009) assessed the financial literacy of individual investors who invest in the financial markets. They found that financial literacy of investors is much less from what is actually needed. Geetha and Ramesh (2011) studied the Indian’s behavior about investment preferences. The study found that people were not aware about all the investment options available to them and they lack knowledge about securities. Samudra and Burghate (2012) studied the investment behavior of the middle-class households. Bank deposits were found to be the most popular instrument of investment followed by insurance. Small savings scheme such as PPF, Post office savings deposits are the third preferred investment option. Sood and Medury (2012) analyzed the investment preferences of working adults in Delhi, Gurgaon and Noida. The results of their study showed that investment preferences are not affected by age, gender, income, marital status and employment status. Bashir et al (2013) studied the investment preferences and risk level of salaried individuals in Gujarat and Sialkot provinces of Pakistan. The results of the study suggests that females are more risk averse than males whereas young and educated people are attracted more towards new risky investment opportunities and want to invest money in these instruments but they hesitate because of limited resources and lack of investment opportunities. Bhushan and Medury (2013) analyzed the gender differences in investment behavior of employees working in various universities of Himachal Pradesh. India invests in almost all investment avenues available to them. There is an overall inclination of investing in safe investment instruments. Gender differences in investment preferences are significant for health insurance, fixed deposits and market investments.

Research Gap

The study identified the gap through literature survey there is a lack of research on advertency of financial aspects on determinants of investment practices among working individuals. Several researches conducted on financial literacy in general. Based on several studies has been conducted on perception and level of awareness on financial literacy and investment behaviour of individuals. Understanding how their financial Advertency influences investment determinants offers valuable insights for financial literacy programs, policymakers, and financial advisors.

Objectives Of The Study

  1. To analyze the level of financial awareness among working professionals
  2. To identify and evaluate the key determinants influencing investment patterns
  3. To assess the relationship between Advertency of financial aspects and investment decisions.

Hypotheses Of The Study

Hypotheses: 1

H0:  There is no significant variation in the level of financial awareness among working professionals.

H1: There is a significant variation in the level of financial awareness among working professionals.

Hypotheses: 2

H0: The identified determinants do not significantly influence the investment patterns of working professionals.

H1: The identified determinants significantly influence the investment patterns of working professionals.

Hypotheses: 3

H0: There is no significant relationship between Advertency of financial aspects and the Investment decisions of working professionals.

H1: There is a significant relationship between Advertency of financial aspects and the investment decisions of working professionals.

Significance Of The Study

This study helps individuals to improve their level of understanding of financial matters which enables them to process financial information and make informed decisions about personal finance. Advertency, in this context, refers to the attentiveness, caution, and informed approach individuals adopt toward financial matters. Working professionals, often balancing regular income with long-term financial goals, must navigate a complex investment environment. Understanding how their financial Advertency influences investment determinants offers valuable insights for financial literacy programs, policymakers, and financial advisors.

RESEARCH METHODOLOGY

The study has used both primary data and secondary data. For collecting the primary data, a structured questionnaire was distributed among the respondents. Secondary data for the study has been collected from Google, books, journals and articles. The researcher collected 100 samples by using questionnaires. This questionnaire included demographic profile of respondents and closed-ended questions and open ended questions regarding the factors on a 5 point Likert scale. The study analyzed by using Chi-Square test (χ2) is: χ2= (o-e) 2/e and Anova.

Data Analysis And Interpretation

Table – 1       Frequency Analysis for PERSONAL INFORMATION and Results of Chi-Square tests

Particulars Frequency Percentage  
Age 20 to 30 50 50% χ2 = 55.92

χ2 = 7.81 (critical value)

p= 0.000437          df = 3

31 to 40 35 35%
41 to 50 13 13%
above50 2 2%
Gender Male 44 44% χ2 = 1.44

χ2 = 3.841 (critical value)

p= 0.23          df = 1

Female 56 56%
Qualification Below graduation 27 27% χ2 = 12.72

χ2 = 7.815 (critical value)

p= 0.005            df = 3

Under Graduation 30 30%
Post graduation 33 33%
Others 10 10%
Profession Government employee 45 45% χ2 = 1.0

χ2 = 3.841 (critical value)

p= 0.3173          df = 1

Private employee 55 55%
Work experience 0  –  10 years 77 77% χ2 = 149.76

χ2 = 7.815 (critical value)

p= 0.0001            df = 3

10  –  20 years 17 17%
20  –  30 years 5 5%
30  – above 1 1%
Working place Bangalore 45 45% χ2 = 9.49

χ2 = 5.991 (critical value)

p= 0.0087            df = 2

Mysore 35 35%
Mandya 20 20%
Income Level Below – 20000 49 49% χ2 = 45.36

χ2 = 7.815 (critical value)

p= 0.0001            df = 3

20000 – 40000 30 30%
40000 -60000 18 18%
60000 – above 3 3%

Sources: Primary Data                               χ2 = Chi square, P-Probability, df =degree of freedom

The above table gives clear information: About the age of respondents between 20-30years are 50% makes more investments compare to other ages. Education- Post Graduates have more awareness about financial literacy i.e 33%. Up to 10years of experience professionals are more i.e., 77%, Bangalore professionals are more i.e., 45%, 60000 and above professional are only 3%.

Table – 2 Financial Awareness among Working Professionals

STATUS Chi-square Critical value df Asymptotic Significance
Concept of financial planning χ2 =  51.37 9.488 4 p= 0.001
Budgeting and expense tracking χ2 = 87.50 9.488 4 p= 0.001
Savings accounts and fixed deposits χ2 = 69.28 9.488 4 p= 0.001
Mutual funds and SIPs χ2 = 27.50 9.488 4 p= 0.001
Stock market basics χ2 = 6.50 9.488 4 p= 0.038
Life and health insurance χ2 = 87.50 9.488 4 p= 0.049
Retirement schemes (EPF, PPF, NPS) χ2 = 150 9.488 4 p= 0.001
Public provident funds χ2 = 152.5 9.488 4 p= 0.001

The Chi-square analysis shows that financial awareness factors such as financial planning, budgeting, savings, mutual funds, insurance, and retirement schemes are significantly associated with working professionals. Hence, the null hypothesis is rejected for most dimensions, confirming that financial awareness plays a crucial role among working professionals. However, in the case of stock market basics, the null hypothesis is accepted, indicating no significant association between awareness and responses in this factor.

The results reveal that financial awareness is significantly associated with most aspects of personal finance (χ² values significant at p < 0.05), except for stock market basics, where no significant association was found.

Table – 3 Key Determinants influencing investment patterns

Determinant A SA N DA SDA Mean SD
Safety & security of investment 43 42 3 5 7 4.09 0.90
Expected returns 46 39 4 5 6 4.14 0.88
Liquidity (ease of converting to cash) 30 35 3 15 17 3.40 1.30
Past investment experience 25 31 2 22 20 3.19 1.42
Influence of family and peers 37 40 0 13 10 3.90 1.06
Financial advisor recommendations 45 40 3 6 6 4.12 0.92
Tax benefits 49 51 0 0 0 4.51 0.50
Market trends and news 47 47 0 3 3 4.34 0.65
Advertisements and promotions 45 42 3 5 5 4.12 0.85

Anova Analysis (One-Way)

Source of Variation SS df MS F F-Critical Result
Between Groups 2.012 8 0.2515 5.38 2.25 Significant
Within Groups 0.375 36 0.0104
Total 2.387 44

Interpretation:

The calculated F-value (5.38) exceeds the critical F-value (2.25) at a 5% level of significance. Hence, the null hypothesis (H₀) is rejected, and the alternative hypothesis (H₁) is accepted. This indicates a significant difference among the determinants influencing the investment patterns of working professionals.

Among the identified determinants, Tax Benefits (Mean = 4.51), Market Trends and News (Mean = 4.34), and Expected Returns (Mean = 4.14) were found to have the highest influence on investment patterns. Conversely, Liquidity (Mean = 3.40) and Past Investment Experience (Mean = 3.19) showed lower influence.

Therefore, it can be concluded that the financial aspects such as tax benefits, market trends, and expected returns play a major role in shaping the investment practices of working professionals.

Table – 4 Relationship between Advertency of financial aspects and investment decisions

STATUS A SA N DA SDA Mean SD
 Inflation trends 38 42 3 10 7 3.94 1.20
Interest rate changes 41 38 4 11 6 3.97 1.17
Government policy changes 43 44 3 4 6 4.14 1.07
Stock market performance 25 28 5 22 20 3.16 1.48
Economic news and forecasts 31 30 6 23 10 3.49 1.36
Global economic conditions 40 40 3 11 6 3.97 1.17

Anova Analysis (One-Way)

Source of Variation SS df MS F p- value
Between Groups 2.208 5 0.442 6.36 0.0001
Within Groups 0.417 594 0.070
Total 2.625 599

The F-ratio = 6.36 with p < 0.05, so we reject null hypothesis (H₀).

This means that investors perceive significant differences in the impact of economic factors on their investment decisions.

Government policy changes (4.15) are perceived as the most influential factor. Inflation (3.98) and Global economic conditions (3.97) follow closely. Interest rate changes (3.94) are also considered important. Stock market performance (3.19) and Economic news (3.48) are seen as less influential.

The ANOVA analysis reveals that different macroeconomic factors influence investors unequally. Policymakers and financial planners should give more emphasis to government policies, inflation control, and global economic stability as they strongly shape investor confidence and decisions.

FINDINGS

Financial awareness has a strong and significant positive correlation with both investment patterns and investment decisions. This means that as financial awareness increases, individuals tend to adopt better investment patterns and make more informed investment decisions. Investment patterns are positively correlated with investment decisions, though slightly weaker than financial awareness, still significant.

Suggestions

  • Employers should introduce financial literacy workshops for employees.
  • Policymakers must integrate financial education modules in higher education.
  • Financial advisors should adopt personalized awareness programs to improve client advertancy.
  • Working professionals should utilize digital platforms and fin-tech tools for better decision-making

CONCLUSION

The study concludes that advertency of financial aspects significantly influences the determinants of investment practices among working professionals. High financial awareness fosters disciplined investment behavior, while low advertency increases reliance on instinctive and socially influenced choices. Enhancing financial literacy through workplace training, government initiatives, and digital tools can empower professionals to make better investment decisions.

BIBLIOGRAPHY

  1. Al-Tamimi, H.A.H., & Kalli, A.A.B. (2009). Financial literacy and investment decisions of UAE investors. The Journal of Risk Finance, 10(5), 500 – 516.
  2. Australia and New Zealand Banking Group (ANZ).(2003). ANZ survey of adult financial literacy in Australia.
  3. Bashir, T., Ahmed, H. R., Jahangir, S., Zaigam, S., Saeed, H., & Shafi, S. (2013). Investment preferences and risk level: Behaviour of salaried individuals. IOSR Journal of Business and Management, 10(1), 68-78
  4. Beal, D. J., & Delpachitra, S. B. (2003). Financial literacy among Australian university students. Economic apers, 22 , 65-78.
  5. Bhushan, P., & Medury, Y. (2013). Gender differences in investment behaviour among employees. Asian journal of Research in Business Economics and Management. 3(12), 147-157.
  6. Bhushan, P., & Medury, Y. (2013). Financial literacy and its determinants. International Journal of Engineering, Business and Enterprise Applications, 4(2), 155-160
  7. Chaturvedi, M., & Khare, S. (2012). Study of saving pattern and investment preferences of individual household in India. International Journal of Research in Commerce and Management, 3(5), 115- 120.
  8. Geetha, N., & Ramesh, M. (2011). A study of people’s preferences in investment behaviour, IJEMR, 1(6), 1-10.
  9. Lusardi, A., & Mitchell, O.S. (2007. Baby boomer retirement security: The roles of planning, financial literacy and wealth. Journal of Monetary Economics, 54, 205-224.
  10. Nga, K. H. J., Yong, L. H. L., & Sellappan, R.D. (2010). A study of financial awareness among youths. Young Consumers, 11(4), 277-290.
  11. Samudra, A., & Burghate, M.A. (2012). A Study on investment behavior of middle class households in Nagpur. International Journal of Social Sciences and Interdisciplinary Research, 1(5), 43-54.
  12. Sood, P. B., & Medury, Y. (2012). Investment preferences of salaried individuals towards financial products. International Journal of Management and Behavioural Sciences, 1(1), 95-107

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