INVESTMENT FOR A SPECIFIC PURPOSE WITH LONG TERM SAVING AND INVESTMENT: A CASE OF INVESTMENTS FOR CHILDREN
Dr. Renati
Jayaprakash Reddy 1
, Shambhavi B. R. 2![]()
1 Professor,
Department of Commerce, Acharya Institute of Management and Sciences, Bangalore,
India
2 Research
Scholar, AIMS Centre for Advanced Research Centre, University of Mysore, Karnataka, India
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ABSTRACT |
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Rising
education costs and growing economic uncertainty have increased the need for
systematic financial planning for children’s education. This study examines
parents’ investment behaviour toward
children-specific investment plans, focusing on the influence of demographic
variables on the selection of investment avenues and evaluation of investment
attributes. The study is based on primary data collected from 449
middle-income parents in Bangalore using a stratified sampling technique. Discriminant analysis is applied to assess the effects of
age, gender, income, and savings on investment decisions, and the reliability
of the research instrument is found to be acceptable. The findings reveal
that age does not significantly influence either the choice of child
investment plans or the assessment of investment attributes. Gender does not
affect the selection of investment avenues but significantly influences
perceptions of investment attributes such as investment period, fund safety,
credit rating, and adequacy of funds at the time of need. Income and savings
emerge as the most significant determinants, affecting both the selection of
investment instruments and the evaluation of their features. The study
concludes that parents prioritize long-term investment horizons, fund
security, and timely availability of funds when planning for children’s
education. The findings offer practical insights for financial institutions
in designing effective and flexible child-focused investment products. |
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Received 07 August 2025 Accepted 08 September 2025 Published 31 October 2025 Corresponding Author Dr. Renati Jayaprakash Reddy, renatilatha@gmail.com DOI 10.29121/granthaalayah.v13.i10.2025.6651 Funding: This research
received no specific grant from any funding agency in the public, commercial,
or not-for-profit sectors. Copyright: © 2025 The
Author(s). This work is licensed under a Creative Commons
Attribution 4.0 International License. With the
license CC-BY, authors retain the copyright, allowing anyone to download,
reuse, re-print, modify, distribute, and/or copy their contribution. The work
must be properly attributed to its author.
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Keywords: Children Investment Plans, Education
Financing, Investment Behaviour, Demographic
Factors, Income and Savings |
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1. INTRODUCTION
Higher education is quite expensive and costs of education are rising at a rate of 10% to 15% annually. The most crucial source of income for parents is salary or profit from business in which they save a small portion to invest in different schemes to, which they must plan for to save 20 to 30 percent of their income, and invest in different investment opportunities. The cost of education is rising, but there is also uncertainty, such as pandemics, unstable job markets, and parents’ life spans, etc.
Risk and return are the two factors that influence choice of Investment avenues. At the same time, risk tolerance parameters are also important. The three risk tolerance levels are, risk aversion, risk bearing and risk avoidance. The risk of saving is the increase in expenses. Uncertainty in income is another risk level. The paradigm shift needed in the financial need varies with type of course. The fees and other expenses varies the course, location of the course, other expenses like, hostel etc. Skill development, opportunities for addition learning and performance, placement are also important. The choice of investment for children education needs the following attributes and they are, adequate amount, timely availability and cost of funds. They prefer , fixed deposits, recurring deposits like chit funds, or savings account. In addition to this, provident funds, insurance schemes give systematic investment options.
Educational loans are also another option available, and it depends on course, institution and fees. It is a demand-based fund as the banks give as per the schedule specified for payment. Now, the education loan is provided through a centralized application called ‘Vidya Lakshmi’ to avail loan from the banks. In educational loan, the amount will be disbursed to institution account. The repayment is after the fees payment, and it can be equal monthly installments. The benefit of educational loan is the timely availability and adequacy of funds for it. Else, the adequate amount will be realized though selling gold or real estates. The savings may not be adequate leading to borrowing.
The asset-based child investment schemes are generally systematic investment schemes that the investor pay fixed amount fir every child and after a certain period, say, 15 years, the investment will become mature. Then the maturity amount will be disbursed in equal annual installments. That is, the amount will be utilized in the graduation level only. At the same, the schooling expenses are not covered that it reduces the surplus available for asset-based investment. This reduces the investor preference towards the asset-based child investment plans due to low utility.
2. NEED FOR THE STUDY
The review of the literature revealed that while there are numerous studies examining the buying habits and preferences of retail and individual investors. A very few of them give a glimpse of the buying attitudes of young male and female retail investors. Additionally, the majority of studies analyse the performance of equity mutual funds and other market-based investment avenues. There is a study gap in understanding how young parents who desire to safeguard their children's education finances through investments in linked mutual fund schemes behave and what investments they make. Some studies and publications link the shift in investment behaviour to a rising preference among investors, particularly young investors, for mutual funds. As there is little research available, it is necessary to examine how young parents perceive their investments in the effectiveness of children's education programs.
3. OBJECTIVES OF THE STUDY
· To analyse the effect of demographic variables on investment decisions
· To analyse the scope of child investment plans
4. NEED AND SCOPE OF CHILDREN EDUCATION
Children Investment Schemes are a special type of investment plan designed to provide enough money for the children's future ambitions for their careers and other endeavours. The academic process is a dynamic area where new fields and courses are developed along with shifting political, technological, and economic trends. Therefore, it is the duty of parents to plan and manage their children's lives and careers in light of the shifting environment. With the help of parents' existing savings, the next generation's future can be funded through child investment plans.
A methodical approach to education, parenting, lifestyle, and possibilities for future career development fosters the growth of a model citizen. For their children to have the best education, training, and opportunities, parents must prioritize their investments for their children's future careers. Every family must prioritize other necessities such as housing, health, exercise, and hygiene at the same time. The cost of housing, food, and education is steadily rising, thus it will be necessary to plan for these costs in the future through methodical investment programs.
Inadequate and erratic income, insufficient savings, ignorance of the many investment options, and a lack of financial literacy are a few obstacles to child planning. Due to the limited resources available, families must maintain the ability to access funds for immediate expenses as well as systematic savings without sacrificing return but with low risk. The student's educational loan in education financing is set up so that they can pay it back after the course is completed, though using family resources is also an alternative. Fixed deposits, mutual funds designated for children's growth, insurance plans, and direct stock market investments are all acceptable forms of investing for children's money. The risk-return ratio varies depending on the investing strategy. The utility of both types of loans is the same, with the exception of one key distinction: although it is solved first for educational loans, it is resolved last for systematic investment plans. In contrast to systematic investing, where there is no guarantee from the financier but only a trust that there is no way to offload the investor's risk, education loans will be secured by mortgages or guarantees. The only qualities that inspire confidence are creditworthiness, longevity, and historical success.
The liquidity has both a difficulty and an advantage. As they are easily accessible, the liquid money will be used up in times of need and might not be used for the intended purpose. However, with systematic investment schemes, the money will be secured throughout the programme to prevent cash diversion.
4.1. Investing in children Plans and income for the family
The criteria for selecting a suitable investing strategy are determined by the investor's mind set and Maslow's hierarchy of needs. When it comes to supporting children's education, there are effects at both the parent and child levels. Physical needs, safety needs, belonging and love needs, esteem needs, cognitive needs, aesthetic needs, self-actualization, and transcendence all have a systematic growth trajectory at the child's level. However, it is the responsibility of the parent to make sure that these things are taken care of at different stages of life and to achieve self-actualization through fulfilling the obligation to educate the children and place them in the right career. As a result, life becomes transcendent as the children take care of them from physiological, safety, belonging, and love needs. The supplied source is invalid. As a result, the investor's attitude towards the kids is also affective (to get them the finest school), cognitive (plan a job), and behavioural (choose the proper track). Multiple term deposits or SIPs can be helpful in this regard. The liquidity component of an investment is the ease with which it can be converted into cash and made available whenever the money is needed for children.
4.2. Features and Characteristics of Children Investment Plans
Children Investment Plan is a type of fund with particular conditions and goals pertaining to children. These are a popular choice for investments that serve as solutions for the rising cost of education and other necessities. Depending on their time horizon and level of risk tolerance, investors can also select investments that are more in debt or greater in equity. The main goal is to establish a stream of money to cover the costs of moving, boarding, higher education, and other essential expenses.
1) Children's
Investment Fund Feature:
· Lock-in period: The lock-in period is 5 years is the minimum lock-in term, however it can be extended until the child is an adult. According to their budgetary needs, parents can also choose a flexible lock-in term, starting at 5 years and going until the child is 18 years old.
· Long-term investment choice: A long-term investment choice With a custom product created to fulfil a certain objective.
· Temporary Withdrawal: The Children Fund forbids an investor from withdrawing funds before to the policy's maturity, making it an appropriate long-term investment option for the majority of people.
· Protection from Inflation: It also offers some protection to investors against market volatility.
· Secured Portfolio: It enables investors to receive guaranteed profits and is overseen by qualified fund managers.
· Hybrid portfolio: These investments provide a respectable ratio of return to security.
· Exit Load: By reducing early redemption, an exit load on children's funds enables the funds to earn more interest during their tenor. When an investor decides to liquidate a children's fund before the minimum lock-in period, fund companies often impose a penalty of up to 4%. (5 years.)
· Taxability: These investment alternatives' interest income is not subject to taxes. Children's mutual funds that are promoted as gifts are likewise exempt from taxes. Only when the funds mature and the money is distributed is tax due. In order to maximize the advantages of indexation, the fees are also kept to a minimum. If parents invest in these funds, they may also qualify for an exemption from income tax under Section 80C. In this situation, they are eligible for a deduction of up to Rs. 1.5 lakh. If the interest income exceeds Rs. 6,500 annually, they may additionally claim an exemption of Rs. 1,500 per kid annually under Section 10 (32) of the Income Tax Act of 1961. If they apply for a children's fund, parents of children with certain disabilities can receive additional tax exemptions.
5. RESEARCH METHODOLOGY
Table 1
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Table 1 |
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Number of respondents |
449
respondents |
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Population |
Middle income parents |
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Sampling method |
Stratified sampling |
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Geographical area |
Bangalore |
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Tool used for analysis |
Discriminant model |
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Reliability of tool |
.659 |
6. ANALYSIS AND INTERPRETATION
Discriminant model is a classification model in which the dependent variable is a nominal data while the dependent data is an ordinal or scale data. In this research, the preference of parents in choosing an investment avenue and the effect of attributes on investment avenues as well.
Hypothesis Ho: There is no significant effect of demographic variables on choice of child investment plan
6.1. Effect of age on choosing CIP
Hypothesis H0: There is no significant effect of age on choice of child investment plan
6.1.1. Effect of age on investment decisions
Table 2
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Table 2 Test Results |
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Box's M |
60.517 |
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F |
Approx. |
.932 |
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df1 |
63 |
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df2 |
173554.452 |
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Sig. |
.629 |
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Tests null hypothesis of equal population covariance matrices. |
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Table 3
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Table 3 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
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1 through 3 |
.965 |
15.772 |
18 |
.608 |
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2 through 3 |
.990 |
4.613 |
10 |
.915 |
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3 |
.998 |
.827 |
4 |
.935 |
The model shows that there Wilki’s lambda is near to 1 and chi square is not statistically significant. This shows that the age is not influencing the analysis of type of investment before choosing a fund. It means, all age group analyse the attributes and take decision. There is no variation in it. Real estate, Bullions (Gold, Silver, Diamonds, etc.), Child specific Life insurance are the immediate finance sources for children.
6.1.2. Effect of age on Attributes of Investment fund
Table 4
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Table 4 Test Results |
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Box's M |
91.501 |
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F |
Approx. |
1.052 |
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df1 |
84 |
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df2 |
168934.889 |
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Sig. |
.351 |
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Tests null hypothesis of equal population covariance matrices. |
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Table 5
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Table 5 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
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1 through 3 |
.945 |
25.112 |
21 |
.242 |
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2 through 3 |
.992 |
3.639 |
12 |
.989 |
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3 |
.999 |
.506 |
5 |
.992 |
The model shows that there Wilki’s lambda is near to 1 and chi square is not statistically significant. This shows that the age is not influencing the analysis of investment attributes before choosing a fund. It means, all age group analyse the attributes and take decision. There is no variation in it. Credit rating of fund provider, Safety and security in fund, Investment pattern and Adequacy of fund at the time of need have higher function coefficients and they are more influenced by age. Period of investment and credit rating are important.
In both cases, F test was not statistically significant for Box M Test for both funds and their attributes. Similarly, Chi-square in Wilki’ test is also not significant. Hence, the results shows that the choice of an investment avenue is not age dependent. Therefore, null hypothesis accepted. Hence, the hypothesis H0 , null hypothesis accepted.
6.2. Effect of Gender on choosing CIP
Hypothesis H0: There is no significant effect of gender on choice of child investment plan
6.2.1. Effect of Gender on Investment decisions
Table 6
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Table 6 Test Results |
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Box’s M |
60.517 |
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F |
Approx. |
.932 |
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df1 |
63 |
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df2 |
173554.452 |
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Sig. |
.629 |
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Tests null
hypothesis of equal population covariance matrices. |
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Table 7
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Table 7 Wilks’ Lambda |
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Test of
Function(s) |
Wilks’ Lambda |
Chi-square |
df |
Sig. |
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1 |
.977 |
10.290 |
6 |
.113 |
Both Box M and Wlki’s lambda are statistically insignificant. So there is no effect of Gender on analyzing the attributes of investment. Hence, Null hypothesis accepted. Therefore, the selection of investment choice is not influenced by the gender. Hence, the hypothesis H0, null hypothesis selected that there is no significant effect of gender on source of funds.
6.2.2. Effect of Gender on Attributes of Investment fund
Table 8
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Table 8 Test Results |
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Box's M |
63.545 |
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F |
Approx. |
2.232 |
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df1 |
28 |
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df2 |
689774.267 |
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Sig. |
.000 |
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Table 9
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Table 9 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
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1 |
.943 |
12.288 |
7 |
.041 |
Table 10
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Table 10 Classification Function
Coefficients |
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Gender |
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Female |
Male |
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Liquidity of fund |
3.584 |
3.399 |
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Growth rate |
1.839 |
1.899 |
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Period of
investment |
18.181 |
18.562 |
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Credit rating of
fund provider |
15.400 |
14.946 |
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Safety and
security in fund |
6.287 |
6.567 |
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Investment
pattern |
8.990 |
8.909 |
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Adequacy of fund
at the time of need |
11.551 |
11.434 |
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(Constant) |
-108.902 |
-108.593 |
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Fisher's linear discriminant functions |
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Gender has an
effect on attributes of the investment. There is a significant effect of gender
on analyzing the attributes of investments. Box M
coefficient is statistically significant,
From the fisher’s linear discriminant function, period of investment,
credit rating and availability of fund at the time of need are the factors that
decide decision making. Investment pattern (portfolio creation) , and safety of
funds are also important. Male respondents are more sensitive in period and
safety than female respondents. Hence, the hypothesis H0, alternate analysis
is selected for the selection investment avenue
6.3. Effect of Income on choosing CIP
Hypothesis H0: There is no significant effect of income on choice of child investment plan
6.3.1. Effect of Income on Investment decisions
Table 11
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Table 11 Test Results |
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Box's M |
360.517 |
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F |
Approx. |
2.332 |
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df1 |
63 |
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df2 |
773554.452 |
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Sig. |
.029 |
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Tests null hypothesis of equal population covariance matrices. |
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Table 12
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Table 12 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
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1 |
.877 |
22.290 |
6 |
.013 |
Table 13
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Table 13 Classification Function Coefficients |
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Income |
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<21K |
21-42k |
42-63K |
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Fixed interest
deposits |
1.565 |
1.732 |
1.653 |
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Educational loan |
4.553 |
4.551 |
4..235 |
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Provident Fund
based loan |
2.936 |
2.753 |
2.332 |
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Real estate |
5.171 |
5.122 |
5.632 |
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Bullions (Gold,
Silver, Diamonds, etc.) |
5.725 |
5.663 |
5.963 |
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Child specific
Life insurance |
5.345 |
5.598 |
5.652 |
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(Constant) |
-30.950 |
-30.724 |
-30.265 |
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Fisher's linear discriminant functions |
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There is a significant effect of income on analysing the investments. Box M coefficient is statistically significant, From the fisher’s linear discriminant function, Real estate, Bullions (Gold, Silver, Diamonds, etc.), Child specific Life insurance and educational loan are important. The income group of 42-63K is more sensitive. Hence, the hypothesis H1, alternate analysis is selected for the investment decisions.
6.3.2. Effect of INVESTMENT ON attribute of Investment
Table 14
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Table 14 Test Results |
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Box's M |
263.545 |
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F |
Approx. |
2.232 |
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df1 |
28 |
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df2 |
689774.267 |
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Sig. |
.000 |
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Tests null hypothesis of equal population covariance matrices. |
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Table 15
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Table 15 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
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1 |
.913 |
12.388 |
7 |
.042 |
Table 16
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Table 16 Classification Function Coefficients |
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Income |
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<21K |
21-42K |
42-63K |
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Liquidity of fund |
3.684 |
3.389 |
3.399 |
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Growth rate |
1.639 |
1.889 |
1.899 |
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Period of
investment |
18.281 |
18.572 |
18.562 |
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Credit rating of
fund provider |
15.420 |
14.946 |
14.946 |
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Safety and
security in fund |
6.387 |
6.577 |
6.567 |
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Investment
pattern |
8.690 |
8.919 |
8.909 |
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Adequacy of fund
at the time of need |
11.521 |
11.444 |
11.434 |
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(Constant) |
-108.902 |
-108.593 |
-108.593 |
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Fisher's linear discriminant functions |
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Income has an effect on attributes of the investment. There is a significant effect of income on analyzing the attributes of investments. Box M coefficient is statistically significant, From the fisher’s linear discriminant function, period of investment, credit rating and availability of fund at the time of need are the factors that decide decision making. Investment pattern ( portfolio creation) , and safety of funds are also important. Hence, the hypothesis, alternate hypothesis is accepted for the selection investment avenue
6.4. Effect OF SAVINGS on choosing CIP
Hypothesis H0: There is no significant effect of savings on choice of child investment plan
6.4.1. Effect of Savings on Investment decisions
Table 17
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Table 17 Test Rsults |
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Box's M |
333.517 |
|
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F |
Approx. |
2.332 |
|
df1 |
63 |
|
|
df2 |
763554.452 |
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|
Sig. |
.029 |
|
|
Tests null
hypothesis of equal population covariance matrices. |
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Table 18
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Table 18 Wilks' Lambda |
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Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
|
1 through 3 |
.881 |
55.828 |
21 |
.000 |
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2 through 3 |
.940 |
27.488 |
12 |
.007 |
|
3 |
.952 |
23.330 |
5 |
.049 |
Table 19
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Table 19 Classification Function Coefficients |
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Saving1 |
|||
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No Saving |
< Rs 5000 |
Rs.5000-10000 |
Rs.5000-10000 |
|
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Fixed interest
deposits |
1.856 |
3.420 |
3.547 |
3.430 |
|
Educational loan |
2.755 |
1.869 |
1.869 |
2.030 |
|
Provident Fund
based loan |
20.389 |
18.228 |
18.341 |
18.494 |
|
Real estate |
14.547 |
15.056 |
15.061 |
14.907 |
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Bullions (Gold,
Silver, Diamonds, etc.) |
7.462 |
6.273 |
6.504 |
6.526 |
|
Child specific
Life insurance |
8.119 |
9.015 |
9.003 |
9.461 |
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Fixed interest
deposits |
11.091 |
11.417 |
11.524 |
11.692 |
|
(Constant) |
-110.983 |
-107.200 |
-109.222 |
-111.514 |
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Fisher's linear discriminant functions |
||||
Both Box M and Wlki’s lambda are
statistically significant. So there is an effect
of attributes of saving on analyzing the attributes
of investment. Null hypothesis rejected. There is a significant effect of
income on analyzing the investments. Box M
coefficient is statistically significant,
From the fisher’s linear discriminant function, Real estate, Bullion's
(Gold, Silver, Diamonds, etc.), Child specific Life insurance and educational loan
are important. The saving group of Rs
5000-10000 is sensitive. Hence, the hypothesis H1, alternate analysis is
selected for the investment decisions.
6.4.2. Effect of saving on choosing investment avenues
Table 20
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Table 20 Test Results |
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Box's M |
129.324 |
|
|
F |
Approx. |
2.234 |
|
df1 |
56 |
|
|
df2 |
107722.220 |
|
|
Sig. |
.000 |
|
|
Tests null
hypothesis of equal population covariance matrices. |
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Table 21
|
Table 21 Wilks' Lambda |
||||
|
Test of
Function(s) |
Wilks' Lambda |
Chi-square |
df |
Sig. |
|
1 through 2 |
.924 |
34.948 |
14 |
.001 |
|
2 |
.942 |
27.878 |
6 |
.047 |
Table 22
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Table 22 Classification Function Coefficients |
||||
|
|
Saving1 |
|||
|
No Saving |
< Rs 5000 |
Rs.5000-10000 |
Rs.5000-10000 |
|
|
Liquidity of fund |
1.856 |
3.420 |
3.547 |
3.430 |
|
Growth rate |
2.755 |
1.869 |
1.869 |
2.030 |
|
Period of
investment |
20.389 |
18.228 |
18.341 |
18.494 |
|
Credit rating of
fund provider |
14.547 |
15.056 |
15.061 |
14.907 |
|
Safety and
security in fund |
7.462 |
6.273 |
6.504 |
6.526 |
|
Investment
pattern |
8.119 |
9.015 |
9.003 |
9.461 |
|
Adequacy of fund
at the time of need |
11.091 |
11.417 |
11.524 |
11.692 |
|
(Constant) |
-110.983 |
-107.200 |
-109.222 |
-111.514 |
|
Fisher's linear discriminant functions |
||||
There is a significant effect of gender on analyzing the attributes of investments. Box M coefficient is statistically significant, From the fisher’s linear discriminant function, period of investment, credit rating and availability of fund at the time of need are the factors that decide decision making. Investment pattern (portfolio creation) and safety of funds are also important. Hence, the hypothesis, alternate hypothesis is accepted for the selection investment avenue.
7. DISCUSSION
There are two factors analyzed in this paper and they are the effects of age, gender and income on investments. The results show that there is no significant effect of age on either factors that influence selection of investment opportunities or the features of investment opportunity. But , factors for selecting investment opportunities does not vary with gender, but the perception of male and female investors on investment attributes vary. But income has effect on both investment factors and investment attributes.
8. CONCLUSION
The results shows that the income and saving influence both selection of instrument and attributes of investment while age is not influencing. Gender has a influence on choosing attributes but not on investment. But the priority is not varying. From the analysis, it is clear that, period of investment is an important factor and long period of Asset based child investment plan are one of the limitations.
CONFLICT OF INTERESTS
None.
ACKNOWLEDGMENTS
None.
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