female faculty members awareness about retirement planning avenues
TRANSCRIPT
Female Faculty Members - Awareness About Retirement Planning
Avenues
*Prof. (Dr.) Harsh Purohit, Chair: ICICI Bank Chair for BFSI, WISDOM, (Banasthali Vidyapith)
FMS – WISDOM Banasthali University
Banasthali - [email protected]
** Gargi Pant, FMS, WISDOM, (Banasthali Vidyapith)FMS – WISDOM
Banasthali UniversityBanasthali – 304022
Abstract:
Retirement planning is an integral part of financial planning for any individual. Every individual
looks forward to spending the post retirement years in the lap of luxury. A person needs to take
challenging investment decisions in order to optimally plan for retirement. These decisions as per
finance theories have been motivated by reasoning while unfortunately the intuition aspect has
been portrayed in a negative manner by behavioural finance advocates. The research is an
attempt to study the awareness of female faculty member towards retirement planning avenue. In
this paper we had analyzed the attitude & awareness of female faculty members about retirement
planning avenues. Only 10% of the population in India goes for the retirement planning or some
social security. In this paper we are more focused towards retirement planning, retirement
planning avenues and the awareness of female faculty members towards these avenues.
Introduction:
The dictionary meaning of investment is to commit money in order to earn a financial return or
to make use of money for future benefits or advantages. Investment benefits both economy and
society. The overall return that an investor may realize depends upon a number of things such as
amount of money available for investment, the degree of risk that the investor is willing to take;
the amount of immediate income that is needed ; the degree of liquidity that is required, the
intelligence and knowledge that the investor processes; and sheer luck. Investors have various
goals out of which retirement planning is most important. (Source: Srivastava Sarika, 2011,
Thesis on “Investors’ Attitude towards Secondary Market Equity Investments: A Study in
Allahabad and Varanasi Cities” Submitted at Banasthali University under supervision of Dr.
Harsh Purohit.
Retirement Planning:
Retirement schemes are basically a financial assurance that a person will continue to earn a
reasonable income when his professional income starts to ebb and lead a comfortable life. The
trend of opting for retirement plans is increasingly popular in India within few years. Even
people who are retiring from government sector and have a secure pension are still opting private
retirement schemes for future financial security. (Source: http://www.paycheck.in/main/work-
and-pay/paycheck-articles-archives/retirement-plans-in-india,accessed on May 20, 2011)
Every individual looks forward to spending the post retirement years in the lap of luxury.
Retirement planning is essential so that one can: 1) Prepare for unforeseen circumstances
(Planning for the events that may or may not happen) 2) Maintain a positive outlook to life 3)
Plan an early retirement (Planning for an early retirement arms one with more options to face
emergencies) 4) Beat Inflation 5) Invest in top notch medical care 6) Secure family’s future 7)
Keep oneself updated on retirement plans and benefits 8) Safeguard one’s saving
In today’s era retirement planning is a major issue. You can make your future safe, comfortable
and much better if you take care of retirement planning rather than if you don’t do it. It has
become extremely important for one to plan for his/her retirement and at least take a step towards
it. Increase in life expectancy, Increase in dependency ratio and decline of joint family structure
are some points which will realize you that the planning for your own retirement is not just an
option but it’s a necessity now.
Literature Review:
Dorfman et. all (1984) found in their study that many professors across types of institutions
planned for retirement. A majority of faculty had thought seriously about retirement, made
financial plans, checked on retirement benefits. Retired faculties were generally favorable about
retirement. The author has also written that faculties of university appeared to do more planning
for retirement than did faculty from other institutions.
Gary P. Johnson and Joseph Q. Gaetino (1982) written that teachers strongly support and
agree with the general concept of early retirement incentive plans. In other words teachers are
not interested in the extension of their employment tenure. The author indicated three
implications for the specific design of early retirement plan programs. First, the early retirement
option should be made available to teachers somewhere between the ages of fifty and fifty-five.
Second, to be most attractive, ERIP should contain incentives/features that offset all or nearly all
of the major monetary costs associated with early retirement. Third, and contrary to current
practice, ERIP need not always and automatically include opportunities for early retirees to work
part-time in the school district.
Kathleen Arano, Carl Parker, Rory Terry (2010) Gender-based risk aversion and
retirement asset allocation estimates in their study that women who have spouses who
influence them to hold a larger percentage of their retirement assets in stocks take lesser risk than
men whose spouses likewise influences them to be less risk averse. This may suggest that
women are more risk averse than their spouse
Annamaria Lusardi and Olivia S. Mitchell (2011) in their paper “Financial literacy around
the world: an overview” In an increasingly risky and globalized marketplace, people must be
able to make well-informed financial decisions. New international research demonstrates that
financial illiteracy is widespread in both well-developed and rapidly changing markets. Women
are less financially literate than men, the young and the old are less financially literate than the
middle-aged, and more educated people are more financially knowledgeable. Most importantly,
the financially literate are more likely to plan for retirement. Instrumental variables estimates
show that the effects of financial literacy on retirement planning tend to be underestimated. In
sum, around the world, financial literacy is critical to retirement security.
Schubert (2006) shows that women appear less sensitive to probabilities and more pessimistic
about gains than men. In risk management, women appear to have a comparative advantage with
respect to diversification and communication tasks. Schubert (2006) describes the notion that
men are less risk averse than women as a stereotype that leads to discrimination against women
in the labor market and keeps women from assuming managerial positions. This is because a
firm’s value depends on how much risk it takes, which is in the end determined by the choices
that firm managers make.
Bateman, Louviere, Thorp, Islam and Satchell (2009) found that age and income level are
important determinants of preference class while variability is determined largely by underlying
risk tolerance and age. They also find that respondents compare the characteristics of nearby
investments options when deciding on their most preferred choice.
They noticed that young and low income retirement saver were more likely to respond positively
to net expected return and negatively to risk but older and higher income retirement saver appear
more likely to behave contrary. This study shows the importance of risk/return characteristics of
investment options as well as their ordering on the investment choice menu.
Research Gap:
Above studies facilitate us to understand the existing knowledge about retirement planning and
how investors take decisions.
Furthermore the studies throw light on irrational behaviour of investors have the potential to be a
significant supplement to the conventional finance theories. The volume of research in the area
of behaviour finance has grown over the recent years. The study of behaviour finance is helpful
in many ways. It allows investors to make investment decisions by considering their perception,
emotions and the possibility of being wrong. It is believed that perfect application of behaviour
finance can make an Indian investor successful. Behavioral finance offers a platform to
understand the financial decisions by being aware of our emotions as well as those of others and
using this information to create the wealth.
Research Objective:
The present study has the following research objectives:
To test the level of awareness of retirement planning among faculty member in Rajasthan
and suggest ways and means for development of such awareness.
The study proposes to test the null hypotheses in respect of awareness of female faculty
members towards retirement schemes:
Ho1: Female faculty members are not highly aware about various investment products
useful for retirement planning.
Research Methodology:
“Research is performing a methodical study in order to prove a hypothesis or answer a
specific question.” (Martyn Shuttleworth, 2008). Research is any original and systematic
investigation undertaken in order to increase knowledge and understanding and to establish facts
and principles. It comprises of creation of ideas and generation of knowledge that lead to new
and substantial improved insights.
Data Collected: Data Type: The data was collected from the Primary sources. Primary research is an
essential part of any paper and was implemented in the initial stages to understand the
outline and build a framework for the later analysis. The collection of Primary data
involved the pro-active seeking of data, and which was useful in the analysis and
planning of the research project.
Data Source: The data is collected from various sources. The data is taken from the
female faculty members of the premier Universities like: Banasthali University, Sukhadia
University, and BITS Pilani.
Data Analysis &Tools: The study will use a variety of questions to find out the complete information about the topic
under research. Apart from dichotomous and multiple-choice questions, the questionnaire will
include statements, which the respondents shall be required to, rate on the basis of likert scale.
The present study is an attempt to study the awareness of female faculty member towards
retirement Planning. The data was collected from various Universities like Banasthali University,
Sukhadia University and BITS Pilani. With the help of Statistical Software for Social Sciences
(SPSS) and EXCEL the data was analyzed and results were drawn after using various statistical
tools. SPSS Statistics is a software package used for statistical analysis. In addition to statistical
analysis, data management (case selection, file reshaping, creating derived data) and data
documentation (a metadata dictionary is stored in the data file) are features of the base software.
Research Finding:
Interpreting the Tests
A p-value (the probability of being wrong if accepted the alternate hypothesis) can be computed
in EXCEL or SPSS as follows:
= CHIDIST (statistic, dof)
= CHIDIST (11.56, 1)
Excel will return the P – Value, in this case 0.00067, since the probability of being wrong is less
than 0.05 we accept the alternate hypothesis
Null Hypothesis:
H 0 = Faculty members are not highly aware about various investment products
Alternate Hypothesis:
H a = Faculty members are highly aware about various investment products.
Table No. 1.1 Results of Chi square test on the basis of marital status
S.No Retirement Avenues Chi sq. Value/p - value Inference
1 Mutual Funds
Chi Sq = 12.591, DF = 2,
p-Value = 0.002 H 0 Rejected
2 Bonds
Chi Sq = 15.673, DF = 2,
p-Value = 0.000 H 0 Rejected
3 Provident Fund
Chi sq = 8.891, DF = 2, p-
Value = 0.239 H 0 Accepted
4 Public Provident Fund
Chi sq = 6.891, DF = 2, p-
value = 0.182 H 0 Accepted
5 Equity Share
Chi sq = 13.693, DF = 2,
p-value = 0.001 H 0 Rejected
6 Pension Fund A/C
Chi sq= 31.923, DF = 2,
p-value = 0.000 H 0 Rejected
7 ULIP
Chi sq = 11.545, DF = 2,
p-value = 0.003 H 0 Rejected
8 ETF
Chi sq = 4.884, DF = 2, p-
value = 0.176 H 0 Accepted
9 Gold ETF
Chi sq = 3.841, DF = 2, p-
value = 0.147 H 0 Accepted
10 New Pension Scheme
Chi sq = 24.424, DF = 2,
p-value = 0.000 H 0 Rejected
11 Bank Saving/FD/RD
Chi sq = 7.786, DF = 2, p-
value = 0.239 H 0 Accepted
12 Gold/ Precious Metal
Chi sq = 53.641, DF = 2,
p-value = 0.000 H 0 Rejected
13 Real Estate
Chi sq = 39.402, DF = 2,
p-value = 0.000 H 0 Rejected
Inference: Fail to accept null hypothesis, hence awareness about retirement planning avenues is
affected by Marital Status.
Null Hypothesis: Awareness is not affected by Age
Alternate Hypothesis: Awareness is affected by Age
Table 1.2: Results of Chi square test on the basis of Age
S.No Retirement avenues Chi Sq Value Inference
1 Provident Fund
Chi sq = 8.529, DF = 8, p-
value = 0.487 H 0 Accepted
2 Public Provident fund
Chi sq = 8.112, DF = 8, p-
value = 0.487 H 0 Accepted
3 Bank Saving/ FD/ RD
Chi sq = 7.456, DF = 8, p-
value = 0.522 H 0 Accepted
4 Mutual Fund
Chi sq = 22.024, DF = 8, p-
value = 0.005 H 0 Rejected
5 Equity Share
Chi sq = 19.552, DF = 8, p-
value = 0.012 H 0 Rejected
6 Bonds
Chi sq = 25.235, DF = 8, p-
value = 0.001 H 0 Rejected
7 Pension Fund A/c
Chi sq = 17.760, DF = 8, p-
value = 0.023 H 0 Rejected
8 ULIP
Chi sq = 19.621, DF = 8, p-
value = 0.012 H 0 Rejected
9 New Pension scheme
Chi sq = 24.673, DF = 8, p-
value = 0.002 H 0 Rejected
10 Real Estate
Chi sq = 19.232, DF = 8, p-
value = 0.012 H 0 Rejected
11 Gold/ Precious Metal
Chi sq = 24.466, DF = 8, p-
value = 0.001 H 0 Rejected
12 ETF
Chi sq = 9.887, DF = 8, p-
value = 0.274 H 0 Accepted
13 Gold ETF
Chi sq = 7.136, DF = 8, p-
value = 0.522 H 0 Accepted
Null Hypothesis: Awareness is not affected by Designation
Alternate Hypothesis: Awareness is affected by Designation
Table 1.3: Results of Chi square test on the basis of Designation
S.N
o Retirement avenues Chi Sq Value Inference
1 Provident Fund
Chi sq = 6.042, DF = 4, p-value
= 0.152 H 0 Accepted
2 Public Provident fund
Chi sq = 5.482, DF = 4, p-value
= 0.137 H 0 Accepted
3 Bank Saving/ FD/ RD
Chi sq = 5.632, DF = 4, p-value
= 0.137 H 0 Accepted
4 Mutual Fund
Chi sq = 17.531, DF = 4, p-
value = 0.002 H 0 Rejected
5 Equity Share
Chi sq = 15.371, DF = 4, p-
value = 0.004 H 0 Rejected
6 Bonds
Chi sq = 15.228, DF = 4, p-
value = 0.004 H 0 Rejected
7 Pension Fund A/c
Chi sq = 14.846, DF = 4, p-
value = 0.005 H 0 Rejected
8 ULIP (Insurance Plan)
Chi sq = 11.655, DF = 4, p-
value = 0.020 H 0 Rejected
9 New Pension scheme
Chi sq = 22.431, DF = 4, p-
value = 0.000 H 0 Rejected
10 Real Estate
Chi sq = 12.582, DF = 4, p-
value = 0.014 H 0 Rejected
11 Gold/ Precious Metal
Chi sq = 14.715, DF = 4, p-
value = 0.005 H 0 Rejected
12 ETF
Chi sq = 8.645, DF= 4, p-value
= 0.071 H 0 Accepted
13 Gold ETF
Chi sq = 7.599, DF = 4, p-value
= 0.107 H 0 Accepted
Null Hypothesis: Awareness is not affected by Income
Alternate Hypothesis: Awareness is affected by Income
Table No. 1.4: Results of Chi square test on the basis of Income
S.No Retirement avenues Chi Sq Value Inference
1 Provident Fund
Chi sq = 8.939, DF = 8, p-
value = 0.147 H 0 Accepted
2 Public Provident fund
Chi sq = 9.532, DF = 8, p-
value = 0.186 H 0 Accepted
3 Bank Saving/ FD/ RD
Chi sq = 10.352, DF = 8, p-
value = 0.202 H 0 Accepted
4 Mutual Fund
Chi sq = 26.967, DF = 8, p-
value = 0.000 H 0 Rejected
5 Equity Share
Chi sq = 25.673, DF = 8, p-
value = 0.002 H 0 Rejected
6 Bonds
Chi sq = 24.361, DF = 8, p-
value = 0.002 H 0 Rejected
7 Pension Fund A/c
Chi sq = 19.544, DF = 8, p-
value = 0.012 H 0 Rejected
8 ULIP (Insurance Plan)
Chi sq = 13.941, DF = 8, p-
value = 0.053 H 0 Rejected
9 New Pension scheme
Chi sq = 20.369, DF = 8, p-
value = 0.009 H 0 Rejected
10 Real Estate
Chi sq = 20.447, DF = 8, p-
value = 0.009 H 0 Rejected
11 Gold/ Precious Metal
Chi sq = 23.884, DF = 8, p-
value = 0.002 H 0 Rejected
12 ETF
Chi sq = 10.989, DF = 8, p-
value = 0.202 H 0 Accepted
13 Gold ETF
Chi sq = 13.007, DF = 8, p-
value = 0.112 H 0 Accepted
Table No. 1.5: Segmentation factor & awareness Difference
S.No Term
Difference in
Awareness
based on
Marital status
Difference in
Awareness
based On Age
Difference in
Awareness
based on
designation
Difference
in
awareness
based on
Income
1 Provident Fund No No No No
2
Public Provident
Fund No No No No
3
Bank Saving/ FD/
RD No No No No
4 Mutual Fund Yes Yes Yes Yes
5 Equity Share Yes Yes Yes Yes
6 Bonds Yes Yes Yes Yes
7 Pension Fund A/c Yes Yes Yes Yes
8 ULIP Yes Yes Yes No
9
New Pension
Scheme Yes Yes Yes Yes
10 Real Estate Yes Yes Yes Yes
11
Gold/ Precious
Metal Yes Yes Yes Yes
12 ETF No No No No
13 Gold ETF No No No No
Inference: It is observed that female faculty members are aware about retirement planning
avenues & it is a function of socio- economic status.
Table No. 1.6: Segmentation Factor and overall Awareness
S.No Term
Overall
Awareness
based on
Marital status
Overall
Awareness
Based on Age
Overall
Awareness
Based on
Designation
Overall
awareness
Based on
Income
1 Provident Fund High High High High
2
Public Provident
Fund High High High High
3
Bank Saving/ FD/
RD High High High High
4 Mutual Fund High Medium High High
5 Equity Share Medium Medium Medium Medium
6 Bonds High High Medium High
7 Pension Fund A/c Medium Medium Medium Medium
8 ULIP Medium Medium Medium Low
9
New Pension
Scheme Medium Medium Medium Medium
10 Real Estate Medium Medium Medium Medium
11
Gold/ Precious
Metal High High Medium High
12 ETF Low Low Low Low
13 Gold ETF Low Low Low Low
Inference: For a given awareness parameter overall awareness is generally the same across all
the segmentation factor. The awareness about ETF and gold ETF is low as compared to
Provident fund and Public provident fund.
Table 1.7: Ranking of Awareness Parameter based on Average Score
Ranking of awareness parameter based on average score
Awareness Parameter Avg. Score Rank
Provident Fund 4.69 1
Public Provident fund 4.66 2
Bank saving A/C/RD/FD 4.62 3
Mutual Funds 4.58 4
Equity Share 4.55 5
Bonds 4.47 6
Pension Fund A/C 4.43 7
ULIP (Unit Linked Insurance Plan) 4.4 8
New Pension Scheme 4.37 9
Real estate /Property 3.35 10
Gold / Precious Metal 3.31 11
ETF (Electronic Traded Fund) 2.09 12
Gold ETF 1.97 13
Note: The rating scale is 1 to 5 where 1 stands for very low, 2 for low, 3 for medium, 4 for high
and 5 for very high. It has been seen that the female faculty members are aware about retirement
planning avenues. They are highly aware about Provident fund, public provident fund , FD/RD
but the awareness about ETF and Gold ETF is low as compared to other avenues.
Provident Fund
Public Provident fund
Bank saving A/C/RD/FD
Mutual Funds
Equity Share
Bonds
Pension Fund A/C
ULIP (Unit Linked Insurance Plan)
New Pension Scheme
Real estate /Property
Gold / Precious Metal
ETF (Electronic Traded Fund)
Gold ETF
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
4.69
4.66
4.62
4.58
4.55
4.47
4.43
4.4
4.37
3.35
3.31
2.09
1.97000000000001
Avg. Score
Chart 1.1
Inference: From the above results it is clear that overall awareness amongst female teachers is
high about the retirement planning avenues.
Limitation of Study:
The current research only cover female faculty members’ attitude towards retirement
scheme.
Study area of this research confined to Rajasthan state only and may not give similar
result when generalized to other regions.
Investors included here is only faculty members of institutes other professional females
are not included in the research.
Conclusion:
Retirement planning is an integral part of financial planning for any individual. Every individual
looks forward to spending the post retirement years in the lap of luxury. A person needs to take
challenging investment decisions in order to optimally plan for retirement. The female faculty
members are aware about retirement planning avenues but they are more aware about the secured
avenues of investment. Retirement planning is something in which one should spend some time.
With an increase of life expectancy ratio, increase in dependency ratio and decline in joint family
structure make retirement planning more important. Faculty members are more aware about the
avenues like Provident fund, public provident fund, RD/FD and they are less aware about ETF
and Gold ETFs. They are moderate about equity shares, ULIP plans and real estate. The overall
awareness of female faculty members towards retirement planning is high.
Bibliography:
1. Busha, Charles H., and Stephen P. Harter. (1980) "Research Methods in Librarianship:
Techniques and Interpretation" Orlando, FL: Academic Press, Inc.
2. Johnson, P. Gary., Gaetino, Q. Joseph., (1982) ‘Teacher Attitudes Toward Early
Retirement Incentive Plans’, Journal of Education Finance, Vol. 7, no. 3, pp. 243-261.
3. Dorfman, T. Lorraine., Conner, A. Karen., Ward, William., Tompkins, B. Jean., (1984)
‘Reaction of Professors to Retirement: A Comparison of retired faculty from the three
types of institutions’, Vol. 20, no. 1, pp 89-102.
4. Jill Hussey & Roger Hussey (1997) Business Research: "A Practical Guide for
Undergraduate and Post graduate students", London: Macmillan
5. Schubert, R., 2006, ‘Analyzing and managing risk- on the importance of gender
difference in risk attitudes, ‘Managerial Finance, vol. 9, pp. 706-715.
6. Bateman, H., Louviere, J., Thorp, S., Islam, T., and Satchell, S., (2009) An Experimental
Survey of Investment Decisions for Retirement Savings.
7. Malhotra and Dash (2009), “Marketing Research: An Applied Orientation”, Pearson
Prentice Hall.
8. Kathleen Arano, Carl Parker, Rory Terry (2010) Gender-based risk aversion and
retirement asset allocation (2010)
Western Economic Association International ISSN: 0095-2583 Vol. 48(1)
9. (http://myiris.com/newscentre/stroyshow.php?
fileR=2011022316343019&dir=2011/02/23 & sec ID=nchometopst).
10. http://www.jagoinvestors.com/2011/03/retirement-planning-india-future.html