Mutual Fund
Mutual Fund
INDORE (M.P)
ON
THE DEGREE OF
SUBMITTED TO
INDORE (M.P)
SUBMITTED BY
SUNIL SANJODIYA
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                              EXPRESSION OF GRATITUDE
    I sincerely and religiously devote this folio to all the gem of persons who have openly or
silently left an ineradicable mark on this assignment so that they may be brought into
consideration and given their share of credit, which they genuinely and outstandingly deserve.
    This expedition of assignment encountered many trials, troubles and tortures along the way. I
am essentially indebted to my faculty, Prof. Sachidanand Pachori for this sweating learning
experience. He overlooked my faults and follies, constantly inspired and mentored via the
proficient direction. It was a privilege to work under his sincere guidance.
    With profound sense of gratitude, I would like to truthfully thank a recognizable number of
individuals whom I have not mentioned here, but who have visibly or invisibly facilitated in
transforming this assignment into a success saga.
  Above all, I would like to conscientiously thank the Omnipotent, Omnipresent and
Omniscient God for His priceless blessings!
Sunil Sanjodiya
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                                      DECLARATION
I, Sunil Sanjodiya student of P.G.D.M program at Sanghvi Institute of Management and Science
(SIMS). I hereby declare that all the information ,facts and figures produce in this report are
based on my own experience and study during my study on “Customer perception towards
mutual fund” at HDFC Mutual FUND Indore.
The matter embodied in this project report has not been submitted to any other University or
Institution for the award of degree.
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                                  ACKNOWLEDGEMENT
This research was made possible as per the requirement of the PGDM course under Sanghvi
Institute of Management and Science. Many individual took interest and were supportive of my
effort. In fact, many have given me their time generously and it is not possible to mention all of
them here and there act of goodness. I take the opportunity to place and record my deep sense of
gratitude to all who have helped me in completion of my study.
I express my heartiest thanks to Prof. Sachidanand Pachori who took keen interest towards my
project and provided me with deep insight on importance of mutual fund awareness. I also
humbly thank my friends and batch mates for their generous participation in the data collection
process.
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                         CERTIFICATE FROM FACULTY GUIDE
This is to certify that “Mr. Sunil Sanjodiya” of PGDM (Batch 09-11) in Sanghvi Institute of
Management and Science, Indore has carried out a Major Research Project titled “Study of
Attractive features of HDFC Mutual Fund to Develop Perception level of Investor”.
The work done by him is genuine and authentic.
The work carried out by the student was found satisfactory. I wish him all the success in career.
Signature
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                                         PREFACE
The above saying highlights the importance of Practical knowledge. Practical Training is an
important part of the theoretical studies. It is of an immense Importance in the field of
management. It offers the student to explore the valuable treasure of experience and an
exposure to real work culture followed by the industries and thereby helping the students
to bridge gap between the theories explained in the books and their practical implementations.
(Sunil Sanjodiya)
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CONTENTS
     Topic                                                      Page No.
    Industry Profile…....…………………………………………………….8-11
    Company Profile…..……………………………………………………..13-16
    Types of Mutual Fund……..……………………………………………17-
    Conceptual Framework………………………………………………......29
    Need for the Study…………………………………………………...34
    Literature Review………………………………………………………..35
    Research Methodology…………………………………………………..54
    Consumers perception towards mutual funds in current market scenario
    Comparison of Hdfc mutual fund with reliance and Tata
    Problem faced by me
    Findings………………………………………………………………….57
    Suggestions
    Conclusion……………………………………………………………….72
    Bibliography……………………………………………………………..75
    Appendix
    Questionnaire……………..……………………………………………..76
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                          INDUSTRY PROFILE
The origin of the mutual fund industry in India was with the formation of UTI in the year 1963,
at the initiative of the reserve bank and Government of India. Though the growth was slow, but it
accelerated from the year 1987 when non-UTI players entered the industry. In the past decade,
Indian mutual fund industry had seen dramatic improvements, both quality wise as well as
quantity wise. It has seen 218.5% increases in assets under their management from 2003 to
2007(May 31st), 38 fund houses managing Rs. 3, 87,896 crores (May 31st, 2008). The main
reason of its slow growth initially, was because mutual fund industry was new in India. I
experienced that lot of investors are aware of mutual fund and how does it work but still they are
not aware of how does it function and how does the investments decision take place.
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 Third Phase: 1993-1996 (Entry of Private Sector Funds
  With the entry of private sector funds in 1993, a new era started in the Indian Mutual
  Fund industry, giving the Indian investors a wider choice of fund families. Also, 1993
  was the year in which the first mutual fund regulations came into being, under which all
  mutual funds, except UTI were to be registered and governed. The erstwhile Kothari
  Pioneer (now merged with Franklin Templeton) was the first private sector mutual fund
  to be registered in July 1993.The 1993 SEBI (Mutual Fund) Regulations were substituted
  by a more comprehensive and revised mutual fund regulations in 1996. The industry now
  functions under the SEBI (Mutual Fund) Regulations 1996.The number of mutual houses
  went on increasing, with many foreign mutual funds setting up in India and also the
  industry had witnessed several mergers and acquisitions.
   NOTE: In 1996 SEBI introduced comprehensive set of regulation for all mutual fund
   companies operating in India. During this phase both SEBI and AMFI launched various
   investor awareness campaigns aimed at educating the investors about the investment
   through mutual fund.
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                          COMPANY PROFILE
The Housing Development Finance Corporation Limited (HDFC) was amongst the first to
receive an 'in principle' approval from the Reserve Bank of India (RBI) to set up a bank in the
private sector, as part of the RBI's liberalization of the Indian Banking Industry in 1994. The
bank was incorporated in August 1994 in the name of 'HDFC Bank Limited', with its registered
office in Mumbai, India. HDFC Bank commenced operations as a Scheduled Commercial Bank
in January 1995. HDFC is India's premier housing finance company and enjoys an impeccable
track record in India as well as in international markets. Since its inception in 1977, the
Corporation has maintained a consistent and healthy growth in its operations to remain the
market leader in mortgages. Its outstanding loan portfolio covers well over a million dwelling
units. HDFC has developed significant expertise in retail mortgage loans to different market
segments and also has a large corporate client base for its housing related credit facilities. With
its experience in the financial markets, a strong market reputation, large shareholder base and
unique consumer franchise, HDFC was ideally positioned to promote a bank in the Indian
environment. HDFC provides financial assistance to individuals, corporate and developers for
the purchase or construction of residential housing. It also provides property related services (e.g.
property identification, sales services and valuation), training and consultancy. Of these
activities, housing finance remains the dominant activity. HDFC has a client base of around 11
lac borrowers, 9 lac depositors, 1.95 lac shareholders and about 25,000 deposit agents, as at
December 31, 2010.
HDFC had raised funds from international agencies such as the World Bank, IFC (Washington),
USAID, DEG, ADB and KfW, international syndicated loans, domestic term loans from banks
and insurance companies, bonds and deposits. HDFC has received the highest rating for its bonds
and deposits program for the fifteenth year in succession.
HDFC Standard Life Insurance Company Limited, promoted by HDFC was the first life
insurance company in the private sector to be granted a Certificate of Registration (on October
23, 2000) by the Insurance Regulatory and Development Authority to transact life insurance
business in India. (Data source from-www.hdfcfund.com) 2011
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STANDARD LIFE INVESTMENTS LIMITED
In order to meet the different needs and risk profiles of its clients, Standard Life Investments
Limited manages a diverse portfolio covering all of the major markets world-wide, which
includes a range of private and public equities, government and company bonds, property
investments and various derivative instruments. The company's current holdings in UK equities
account for approximately 1.8% of the market capitalization of the London Stock Exchange.
VISION
To be a dominant player in the Indian Mutual Fund industry recognized for its high levels of
ethical and professional conduct and a commitment towards enhancing investor interests.
SPONSOR
The sponsor of HDFC MF is Housing Development Finance Corporation (HDFC). HDFC was
incorporated in 1977 as the first specialized housing finance institution in India. HDFC provides
financial assistance to individuals, corporate and developers for purchase or construction of
residential housing. As on December 31st, 2002, HDFC’s cumulative loan disbursement are
Rs.40, 060 crores financing over 2.1 million units all over India.
PARTNERS
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Standard Life Insurance Company of UK set up base in 1825. It is today the largest pension fund
in UK and the largest Mutual life assurance company in Europe. Standard Life Investment was
set up as a dedicated investment management company.
MANAGEMENT
It was incorporated under the company’s act, 1956, on December 10th, 1999 and was approved
to act as an asset management company for the MF by SEBI on July 3rd 2000. In terms of the
Joint participation agreement dated October 29th, 1999 entered between Housing Development
Finance Corporation (HDFC) and Standard Life Investment , 25.6% of the paid up share capital
of the AMC had been transferred by HDFC to Standard Life assurance company, the parent
company of Standard Life Investment Limited, on April 17th 2001. Pursuant to the shareholders
agreement dated October 17th entered between Housing Development Finance Corporation
Limited (HDFC) and Standard Life Investments Limited. 13.9% of the paid up share capital of
the AMC has been transferred by HDFC to Standard Life Investments Limited as on January
31st, 2002.
HDFC 50.1%
The AMC is managing many schemes as per the requirements of the varied class of investors.
The AMC has obtained registration from SEBI vide registration no. PM /inp0000000506 dated
December 22nd, 2000 to act as a portfolio manager under the SEBI regulations, 1993. The
certificate of registration is valid from January 1st, 2003 to December 31st, 2003. The AMC is
also providing portfolio management / advisory services and such activities are not in conflict
with the activities of the mutual funds.
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                   TYPES OF MUTUAL FUNDS
There are a number of mutual funds to suit the needs and preferences of investors. The choice of
the fund is linked to the demand of the investor. The earning objective of investor helps in
deciding the types of funds where investment should be done. To achieve the differing objective
of investors, mutual funds adopt different strategies and accordingly offer different schemes of
investment.
According to structure:
The most important classification of mutual fund is on the basis of the structure of their
operations as all types of mutual funds fall under this classification. Accordingly, to this scheme,
the mutual funds can be divided into three categories, i.e. open ended funds, close-ended funds
and the interval funds.
Open-ended schemes
Open-ended scheme means a scheme of mutual fund, which offers units for sale without
specifying any duration for redemption. These schemes do not have a fixed maturity and entry or
exit to the fund is always open to the investors who can subscribe at any time. The fund redeems
or repurchases the units or shares at periodically announced rates. First, open-end mutual fund
shares are priced at their net asset value (NAV) , which are computed on a daily basis when
market is closed. These repurchase rates are based upon the net current assets of the fund. Thus,
Open-ended funds provide better liquidity to the investors. In the same manner the price at which
the units are offered to the public is also announced periodically.
Note: It should be noted here that an open-end mutual fund’s performance needs to be judged by
its total return, both annually and over extended periods of time, and not its net asset value.
Close-ended schemes
The mutual fund industry did begin its innings in India with close ended equity funds. A close
ended equity scheme means any scheme of mutual fund in which the period of maturity of the
scheme is specified. Unlike open-ended funds, the corpus of close-ended scheme is fixed and an
investor can subscribe directly to the scheme only at the time of initial issue. After the initial
issue is closed, a person can buy or sell the units of the scheme in the secondary market i.e. the
stock exchanges where these are listed. The price in the secondary market is determined on the
basis of demand and supply and hence could be different from the net assets value.
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According to investment objective:
Equity funds
These funds invest a major portion of their corpus in equity shares issued by companies. Equity
funds are considered at the high end of risk spectrum. Equity oriented investors should invest in
equity mutual funds to earn better returns and also save on time and efforts which goes in direct
investing in shares.
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Gilt funds
Gilts are government securities with medium to long term maturities typically of over one year
(under one year instruments being money market securities). In India, we have now seen the
emergence of government securities or gilt funds that invest in government paper called dated
securities (unlike treasury bills that mature in less than one year). Since the issuer is the
government of India, these funds have little risk of default and hence better protection of
principle.
s
Hybrid funds
We have seen that in terms of the nature of financial securities held, there are three major mutual
fund types: money market, debt and equity. Many mutual funds mix these different types of
securities in their portfolios. Thus, most funds, equity or debt, always have some money market
securities in their portfolios as these securities offer the much-needed liquidity. However, money
market holdings will constitute a lower proportion in the overall portfolios of debt or equity
funds like balanced funds (funds that has a portfolio comprising debt instruments, convertible
securities, and preference and equity shares).
Load funds
 Load fund is one that charges a commission for entry or exit. That is, each time you buy or sell
units in the funds, a commission will be payable. Typically entry and exit loads range from 1%
to 2%. It could be worth paying the load, if the good performance history.
Commodity funds
While all of the debt/equity/money market funds invest in financial assets, the mutual fund
vehicle is suited for investment in any other: example- physical assets. Commodity funds
specialize in investing the different commodities directly or through shares of commodity
companies or through commodity futures contracts. Specialized funds may invest in single
commodity or a commodity group such as edible oil or grains, while diversified Commodity
funds will spread their assets over many commodities. A most common example of commodity
funds is the so called the precious metal funds.
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securities assets. These funds may have a growth orientation or seek to give investors regular
income. Recently there has been an initiative to offer such an income by the HDFC.
Bond funds
These funds employ their resources in bonds. These investments ensure fixed and regular
income. Sometimes bonds are available in the market at lower than face value, the net income on
these a bond goes higher because interest will be received on the face value of the bond. Some
companies offer non-convertible bonds along with the shares. Any person subscribing for the
shares will have to take up bonds also. Bonds funds may have a tie up with the companies and
offer certain price if the subscribers want to sell their bonds at the time of allotment. Bond fund
will pay a fixed amount to the company and some amount will be paid by the subscriber also.
The shareholder is saved of the both eration of buying bonds compulsorily while bond fund will
Payless than the face value of the bond, thus saving some money. Bond fund ensure regular
income to the investors.
Fund of Funds
It is a mutual fund that invests in other mutual funds. A normal mutual fund invests in a portfolio
of securities such as debt or equity, on the other side “fund of funds” invest in a portfolio of the
units of the other mutual fund schemes. It uses an investment strategy of holding a portfolio of
other investment funds rather than investing directly in shares, bonds or other securities.
The type of security that the fund invests in is what determines this particular group.
       Technical Funds-
       These funds are those that use technical analysis to select scripts.
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Midcap Funds-
These funds invest in mid cap scripts.
Large Cap Funds- These funds are those that invest in large cap scripts.
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                CONCEPTUAL FRAMEWORK
MUTUAL FUNDS
Dictionary definition of a mutual fund might go something like this: portfolio of stocks, bonds
or Cash managed by an investment company on behalf of many investors. The Investment
Company is responsible for the management of the fund and it sells shares in the fund to
individual investors. When u invests in mutual fund, you become a part owner of the large
investment portfolio, along with all the other shareholders of the fund. When you purchase the
shares, the fund manager invests your money along with the money contributed by the rest of the
shareholders. Every day, the fund manager counts up the value of the entire fund’s holdings
figures out how many shares have been purchased by the shareholders and then calculate the Net
Asset Value (NAV) of the mutual fund, the price of the single share of the fund on that day. If
the fund manager is doing a good job, the NAV of the will usually gets bigger- your shares will
be worth more. But exactly how does mutual fund’s NAV increase? There are a couple of ways
that a mutual fund can make money in its portfolio
The Net Asset Value or NAV is a measure of the current value of one share of a mutual fund.
The value of a mutual fund share is calculated based on the value of the assets owned by the fund
at the end of every trading day. The fund calculates the value: A share’s value is called the Net
Asset Value (NAV). The fund calculates the NAV by adding up the total value of all the
securities it owns, subtracting the expenses of the fund, and then dividing by the number of
shares owned by the shareholders.
Value changes daily: Since the value of the stocks or bonds owned by the fund can change daily,
hence the value of the fund can also change daily. Therefore, a fund is required by the law to
adjust its price once every trading day to provide investors with the most current NAV.
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SYSTEMATIC INVESTMENT PLAN
An existing unit holder can benefit under this facility by investing specified amount regularly.
By investing a fixed amount of rupees at regular interval, one would end up buying more units of
the funds when the price is lower and fewer units when the price is high. As a result, over a
period, the average cost per unit to the unit holders with always is less than the average
subscription price per unit, irrespective of whether it is a rising, falling or fluctuating market.
Thus the unit holders automatically gain averages out the fluctuation of the market without
having the market price day to day basis. This concept is called” RUPEE COST AVERAGING”.
    All the mutual funds specify the minimum amount for investing in scheme. In case of
     SIPs.
    Facility of minimum amount is much lower around Rs. 500 to Rs. 1000.
    Every mutual fund specifies the minimum number of payment that should be invested in
     order to get this facility.
    It might be twelve cheques of Rs. 500 each of six cheque Rs 1000each.
    It is mandatory that the cheque should be of same value.
    The frequency of investment offered for SIP varies from fund to fund. However, in
     general all mutual funds offer monthly or quarterly investment facility.
A systematic transfer plans gives investor facility to transfer from one scheme to another scheme
at periodic interval. The following are the important features:
       Investor can choose between a fixed systematic transfer plan and capital appreciation
       systematic transfer plan.
       Each mutual fund specifies the scheme in which the amount can be transferred the
       frequency also varies from fund to fund.
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                             NEED FOR STUDY
The basic reason for conducting this research is to find the awareness of HDFC-MF products and
attractive features of HDFC Mutual Funds to develop Perception Level of Investor and try to
analyzing the awareness of mutual funds in Indore and which investment option is most suitable
for investors as their point of view.
                As mutual fund is an growing industry and more and more investors have become
mutual fund owners over the year , there is a wide scope for analyzing the basis of preference for
investing in mutual fund is they based on influenced by the variables such as liquidity, tax saving
etc. thus we compared the performance of HDFC equity fund with equity schemes of other
mutual fund and secondly performance of HDFC growth fund schemes with growth fund
schemes of reliance and Tata as well as tax saving schemes.
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                       LTERRATURE REVIEW
A Cross-Country Study find that performance worsens with lagged fund size for Domestic U.S.
funds, but not for non-U.S. funds and international funds. This finding is consistent with the
view that diminishing returns to scale in the U.S. are explained by liquidity constraints due to a
particular fund style (small stocks) or geographic focus (domestic stocks). Fund age and fees are
negatively related to performance, while funds that belong to large fund families, solo-managed
funds, and funds distributed in several countries perform better. Country characteristics also help
to explain fund performance. Domestic funds located in developed countries, especially those
with liquid stock markets and strong legal institutions, display better performance.
Show higher advisory fees significantly reduce fund market shares, and so constrain fees. Fund
performance is consistent with competition exerting a strong disciplinary force on funds and
fees. Our findings lead us to reject the critics' views in favor of the legal framework established
by §36(b) of the Investment Company Act and the lead case interpreting that law (the Gutenberg
decision), while suggesting Gutenberg is best interpreted to allow the introduction of evidence
regarding competition between funds.
They found that that the performance measures are badly misspecified. Regardless of the
performance measure, there are indications of abnormal fund performance, including market-
timing ability, when none exists.
They find no evidence that investors derive any benefit from 12b-1 fees. Product differentiation
strategies are also effective in obtaining market share. Families that perform better, and start
more funds relative to the competition (a measure of innovation) have a higher market share.
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Innovation is rewarded more it he new fund is more differentiated from existing offerings and is
in a less crowded objective. Finally, market share within an investment objective is driven
primarily by a family's policies within that objective, but there are important performance
spillover effects from other funds in the family. Our findings are robust to various tests for
endogeneity of the explanatory variables. Overall, this paper highlights a number of conflicts
between fund families and investors.
They find that fund performance worsens with lagged fund size for domestic U.S. funds, but not
for non-U.S. funds and international funds. This finding is consistent with the view that
diminishing returns to scale in the U.S. are explained by liquidity constraints due to a particular
fund style (small stocks) or geographic focus (domestic stocks). Fund age and fees are negatively
related to performance.
As a result, investors can be somewhat less confident that the ratings of young funds are truly
what they are estimated to be. We illustrate our point by investigating 1281 international equity
mutual. Results for bond mutual funds are similar to those for equity mutual funds but hedge
funds show better ex-post and ex-ante risk adjusted performance than do mutual funds. Sensible
advice for most investors would be to hold low cost index funds and avoid holding past "active"
loser funds. Only very sophisticated investors should pursue an active investment strategy of
trying to pick winners - and then with much caution .The evidence suggests that ex-post, there
are around 2-5% of top performing UK and US equity mutual funds which genuinely outperform
their benchmarks whereas around 20-40% of funds have genuinely.
It shows that the combined use of an OLS and Kalman filter model increases the number of
funds with predictable out of sample alphas by about 60%. Overall, a strategy that uses very
modest ex-ante filters to eliminate funds whose parameters likely derive primarily from
estimation errors produces an out of sample risk adjusted return of over 4% per annum.
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It finds much higher levels in trades of small stocks and in trading by growth-oriented funds.
Stocks that herds buy outperform stocks that they sell by four percent during the following six
months; this return difference is much more pronounced among small stocks. Our results are
consistent with mutual fund herding speeding the price-adjustment process.
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                RESEARCH METHODOLOGY
Research Objective
The present study has been undertaken with the object of examining, analyzing and inferring the
consumer’s perception about mutual investors which addresses the following issues.
Research Method
A questionnaire is designed in such a way so as to acquire maximum mindset of a person with
reference to mutual funds and also what the person thinks about the alternative investment
options available in the market. Copies were served to brokers and walk-in customers of HDFC
mutual fund and private and public sector banks. In all around 200 was the sample size of the
research. The research methodology implemented in this research report primarily consists of
personal interviews with those very investors in Indore city who invest in mutual funds as well as
other options such as shares, fixed deposits & insurance, etc. Interview was conducted in depth
to know about their investments why they prefer to choose that particular investment type only,
and are they satisfied with the returns they receive from their returns.
Sampling Procedure
In our study we have opted for judgmental sampling as we wanted to get feedback only from
those investors who are already investors into mutual funds.
Sample size
The sample size was kept as 200. This sample size was fair enough to achieve reliable results for
our study.
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    Sample unit
    In this study, the sampling unit included only those people who are already investors in mutual
    funds to get to get reliable and true results.
    Data Collection:
    Primary data
    Primary data helped in the knowledge gathered from our sources. Primary data was collected by
    means of:
 Questionnaire
 Personal interviews
 Telephonic interviews
    Primary data helped a lot in order to analyze the whole scenario and to take out the relevant data
    from the data provided to us.
    Secondary data
    Secondary data provided the knowledge about the other investment options other than HDFC in
    terms of facts and figures. It is a data, which are arrived from the primary data and collected
    from the other various sources also as follows-Internet sites and newspapers.
 Correlation
 Regression
 ANOVA test
 Sharpe ratio
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CONSUMERS PERCEPTION TOWARDS                                                    MUTUAL
FUNDS IN CURRENT MARKET SCENARIO
The above case-processing summary shows that we have a sample size of 200 and we had valid
feedback of all the 200 samples. The age factors cross tabulation matrix shows the relationship
between the age of the individual and the factors that he considers while investing in a mutual
fund.
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The above table shows that for in the age group for below 18 years there is no person who
considers risk before investing while 15 people look in for risk in the age group 20-35 years, 11
people take risk as a factor in 35-50 years group. Only 2 people consider risk in the 50-60 years
and no one in >60 years age group.
As far as return on investment is considered 2 people are in the <18 years and the maximum
number in the age group 20-35 years for this factor. There are 38 people in the 35-50 age group,
12 in 50-60 age group and 6 in >60 years age group.
The third factor considered is time period. For less than 18 years, there is no person who looks in
for it.
There are 10 people in the age group 20-35 years who look in for time period as a factor.
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 Only three people correspond in the age 35-50 year and one in 50-60 years but no one in greater
than 60-year group. Nobody looks in for tax benefit in less than 18 years age group.
 There are 9 people in the age group of 20-35 years, 10 in 35-50 years. 4 people consider tax
benefit as an important factor in 50-60 year group and only one in greater than 60-year age
group.
Now considering the relationship between age & time period a person looks in for before
investing in a MF scheme. There is only one person who would like to invest for less than 6
months and three people in the age group 20-35 years. Whereas there is no case in 35-50, 50-60
and >60 years respectively. Considering this the maximum number is seen in age group 20-30
years with a time period of 3-5 years.
From the above table we can analyze that investors lying in the age group of 20-35 years prefer
‘mutual funds’ as their major mode of investment.
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       Case Processing Summary
                       Cases
                       Valid               Missing              Total
                       N         Percent   N          Percent   N        Percent
       age * perception 200      100.0%    0          .0%       200      100.0%
From the above table we can analyze those investors lying in the age group of 20-35 regard
mutual funds as a ‘vehicle to pool money from investors in a basket of securities by a
professional manager.
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         Case Processing Summary
                        Cases
                        Valid                  Missing              Total
                        N            Percent   N         Percent    N         Percent
         age * factors 200           100.0%    0         .0%        200       100.0%
Count
                       Factors                                                     Total
                                 return on time          tax        diversificat
                       Risk      investment period       benefits   ion
      Age <18 years 0            2             0         0          1              3
              20-35    15        60            10        9          9              103
              years
              35-50    11        38            3         10         6              68
              years
              50-60    2         12            1         4          0              19
              years
              >60 years 0        6             0         1          0              7
From the above table we can analyze that investors lying in the age group of 20-35 years regard
‘return on investment’ as the major factor for investing in mutual funds.
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        Case Processing Summary
                       Cases
                       Valid                  Missing             Total
                       N        Percent       N         Percent   N         Percent
        age * schemes 200       100.0%        0         .0%       200       100.0%
From the above table we can analyze that investors lying in the age group of 20-35 years
consider open ended scheme as the better option for investment.
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     Case Processing Summary
                            Cases
                            Valid                 Missing              Total
                            N           Percent   N         Percent    N         Percent
     annual    income      * 200        100.0%    0         .0%        200       100.0%
     factors
From the above table we can analyze that all the investors falling in the income bracket from
below 1 lakh-above 4 lakh consider ‘return on investment’ as a better factor while investing in a
mutual fund.
Crosstabs
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      Case Processing Summary
                               Cases
                               Valid                    Missing           Total
                               N             Percent    N       Percent   N            Percent
      annual   income        * 200           100.0% 0           .0%       200          100.0%
      scheme option
In the above table we can analyze that all the investors falling in all the income brackets consider
growth option as a scheme option to invest in mutual funds.
Crosstabs
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      Case Processing Summary
                                   Cases
                                   Valid                   Missing             Total
                                   N        Percent        N         Percent   N        Percent
      annual income * schemes 200           100.0%         0         .0%       200      100.0%
From the above table we can analyze that customers falling in the 3-4 lakh income bracket prefer
Open-ended scheme as well as closed ended schemes to invest in mutual funds.
Crosstabs
                                                                                        34 | P a g e
       annual income * time period Cross tabulation
       Count
                                  Time period                                            Total
                                            6months-1
                                  <6 months year          1-3 years 3-5 years >5 years
       Annual        upto1        2         5             7         5         0          19
       income        lakh
                     1-2 lakh     0         8             3         6         2          19
                     2-3 lakh     2         4             9         20        0          35
                     3-4 lakh     0         9             18        51        2          80
                     >4 lakh      0         1             9         32        5          47
       Total                      4         27            46        114       9          200
From the given table we can analyze that major investors prefer 3-5 years time period to invest in
mutual funds. Secondly 1-3 years time period for investments.
Crosstabs
       Case Processing Summary
                                Cases
                                Valid           Missing         Total
                                N       Percent N       Percent N              Percent
        annual    income     * 200      100.0% 0              .0%       200    100.0%
        factors
                                                                                       35 | P a g e
     annual income * factors Cross tabulation
     Count
                           Factors                                                   Total
                                     return on time        tax        diversificat
                           Risk      investment period     benefits   ion
     annual        upto1   3         12           2        1          1              19
     income        lakh
                   1-2 lakh 0        14           1        3          1              19
                   2-3 lakh 7        15           2        6          5              35
                   3-4 lakh 14       46           6        8          6              80
                   >4 lakh 4         31           3        6          3              47
     Total                 28        118          14       24         16             200
From the given table we can analyze that investors primarily focus on “return on investment”,
secondly “risk”.
Crosstabs
                                                                                          36 | P a g e
     annual income * perception Cross tabulation
     Count
                              Perception
                              vehicle to
                              pool money
                              from
                              investors in             high
                              a basket of invest
                              securities by money by a              safe vehicle
                              a             mutually   returns with for
                              professional cooperative moderate     investment
                              manager       group      risk         purposes     Total
     annual        upto1      6            6            5             2            19
     income        lakh
                   1-2 lakh 8              4            5             2            19
                   2-3 lakh 19             5            6             5            35
                   3-4 lakh 38             14           19            9            80
                   >4 lakh    31           5            9             2            47
     Total                    102          34           44            20           200
From the given table, we can analyze that major investors think that a mutual fund is a vehicle to
pool money from investors in a basket of securities by a professional manage.
                                                                                        37 | P a g e
COMPARISON OF HDFC EQUITY FUND WITH
RELIANCE AND TATA
                                                           38 | P a g e
   Fund         HDFC       Reliance    Tata Equity S & P Nifty
                Equity     Equity      Fund
                Fund       Fund
   April 2008   0.020      0.004       0.008       2.754
   May 2008     -0.004     -0.053      -0.003      2.616
   June 2008    -0.008     -0.006      0.054       -11.790
   July 2008    -0.037     -0.041      -0.035      -7.752
   August       -0.040     -0.046      -0.042      7.016
   2008
   September    -0.049     -0.051      -0.048      -4.699
   2008
   October      -0.069     -0.063      -0.063      -26.983
   2008
   November     -0.070     -0.060      -0.060      -12.398
   2008
THE RELATIONSHIP OF THE NIFTY WITH HDFC, RELIANCE AND TATA EQUITY
FUND-GROWTH PLAN WITH NIFTY HYPOTHESIS
                                                             39 | P a g e
       Ho:     There is no significant relationship of the fund with nifty return.
Ha: There is a significant relationship of the selected fund with nifty return
Correlations
                                                    Hdfc       equity
                                                    fund                Nifty
       Hdfc        equity Pearson Correlation 1                         .516
       fund
                           Sig. (2-tailed)                              .086
                           N                   12                       12
       Nifty               Pearson Correlation .516                     1
For HDFC Equity Fund the correlation comes to 51.6% when compared with nifty and the
significance comes to .086. So in my study i accept null hypothesis because there is correlation
OF HDFC equity fund with its benchmark that is nifty.
                                      Correlations
                                                      reliance
                                                      equity fund        nifty
        reliance       equity Pearson Correlation 1                      .267
        fund                   Sig. (2-tailed)                           .401
                               N                   12                    12
                               Pearson Correlation .267                  1
                               Sig. (2-tailed)        .401
                               N                      12                 12
For Reliance equity fund the correlation comes to 26.7% which is quite less and the significance
is very high that is 0.401. But we accept the null hypothesis as there is correlation of reliance
equity fund with its benchmark that is nifty.
                                                                                             40 | P a g e
        Correlations
                                            Tata     equity
                                            fund              Nifty
        Tata     equity Pearson Correlation 1                 .214
        fund           Sig. (2-tailed)                        .505
                       N                   12                 12
        Nifty          Pearson Correlation .214               1
                       Sig. (2-tailed)      .505
                       N                    12                12
For Tata equity fund the correlation comes to very low that is 21.4% and the significance figure
is also too less that is 0.505. We accept the null hypothesis as there is correlation of Tata equity
fund with its benchmark that is nifty
      Investment Objective – Aims to provide a vehicle to investors for generation of long term
      capital appreciation.
THE RELATIONSHIP OF THE NIFTY WITH HDFC, RELIANCE AND TATA GROWTH
FUND-GROWTH PLAN WITH NIFTY
HYPOTHESIS
Ha: There is a significant relationship of the selected fund with nifty return.
For HDFC Equity Fund the correlation comes to 6.6% when compared with sense which is very
less and the significance comes to .838. So in our study we accept null hypothesis because there
is correlation OF HDFC growth fund with its benchmark that is sense.
       Correlations
                                                Reliance
                                                growth fund   sense
       reliance    growth Pearson Correlation 1               .313
       fund                Sig. (2-tailed)                    .321
                           N                   12             12
       Sensex              Pearson Correlation .313           1
                           Sig. (2-tailed)      .321
                           N                    12            12
                                                                                     43 | P a g e
For Reliance growth fund the correlation comes to 31.3% which is quite less and the significance
is very high that is 0.401. But we accept the null hypothesis as there is correlation of reliance
equity fund with its benchmark that is nifty.
        Correlations
                                             Tata    growth
                                             fund             sense
        Tata     growth Pearson Correlation 1                 .402
        fund            Sig. (2-tailed)                       .196
                        N                   12                12
        Sensex          Pearson Correlation .402              1
                        Sig. (2-tailed)      .196
                        N                    12               12
       For Tata growth fund the correlation comes to very low that is 40.2% and the significance
       figure is also too less that is 0.196. We accept the null hypothesis as there is correlation
       of Tata growth fund with its benchmark that is sense
                                                                                        44 | P a g e
   ANOVA
                                    Sum       of        Mean
                                    Squares        do   Square   F    Sig.
   Hdfc     growth Between          16.710         11   1.519    .    .
   fund            Groups
                   Within Groups .000              0    .
                    Total           16.710         11
   reliance growth Between          .001           11   .000     .    .
   fund             Groups
                    Within Groups   .000           0    .
                    Total           .001           11
   Tata growth fund Between         .002           11   .000     .    .
                    Groups
                   Within Groups .000              0    .
                   Total            .002           11
                                                                     45 | P a g e
Tax-saving fund (also referred to as Equity-Linked Savings Scheme) is a diversified equity
which offers tax benefits. However unlike typical diversified equity funds, they are subject to a
mandatory 3-Yr lock-in period. From the tax-planning stand-point, the biggest advantage offered
by tax-saving funds is the opportunity to invest in sync with one's risk appetite. Investments for
the purpose of tax-saving are no different from conventional investments and the principle of
investing in tune with the risk appetite is equally applicable.
Tax-saving funds are similar to diversified equity funds in terms of risk profile i.e. they are high
risk - high return investments. Investors with a flair for instruments of the aforesaid variety
would approve of tax-saving funds.
Investing in equities should always be conducted with a long-term horizon; it is over this time
frame that equities have the potential to truly unlock their value and outperform other
comparable assets. Tax-saving funds (courtesy the mandatory lock-in period) propagate this
cause. The fund manager is not bothered by factors like the fund's performance over shorter time
frames or redemption pressures (which the fund manager of a conventional diversified equity
fund is subject to) and can go about doing his job with a long-term perspective. From the
investors' perspective, tax-saving funds instill a degree of discipline in the investment activity
                                                                                         46 | P a g e
 HDFC TAX SAVER FUND
 Nature of scheme – Open-ended Equity Linked Savings Scheme with a lock-in period of
 3 years.
                                                                              47 | P a g e
   May 2008       -0.056   0.002   -0.051   2.615
                                                      48 | P a g e
HYPOTHESIS
       Ho: There is no significant relationship of the fund with nifty return.
Ha: There is a significant relationship of the selected fund with nifty return.
        Correlations
                                                 Hdfc
                                                 TaxSaver
                                                 fund             Nifty
        Hdfc tax saver Pearson Correlation 1                      -.602*
        fund           Sig. (2-tailed)                            .038
                           N                   12                 12
        Nifty              Pearson Correlation -.602*             1
                           Sig. (2-tailed)       .038
                           N                     12               12
        *. Correlation is significant at the 0.05 level (2-tailed).
For HDFC tax saver fund the correlation comes to 60.2% when compared with nifty and the
significance comes to .038. So in our study we accept null hypothesis because there is correlation
OF HDFC tax saver fund with its benchmark that is nifty.
                                                                                         49 | P a g e
                 Correlations
                                                             reliance tax
                                                             saver fund   Nifty
                 reliance tax saver Pearson Correlation 1                       .768**
                 fund               Sig. (2-tailed)                             .004
                                       N                   12                   12
                 Nifty                 Pearson Correlation .768**               1
                                       Sig. (2-tailed)       .004
                                       N                     12                 12
                 **. Correlation is significant at the 0.01 level (2-tailed).
For Reliance tax saver fund the correlation comes to 76.8% and the significance is very high that
is 0.004. But we accept the null hypothesis as there is correlation of reliance tax saver fund with
its benchmark that is nifty.
         Correlations
                                                   Tata TaxSaver
                                                   fund          Nifty
         Tata tax saver Pearson Correlation 1                       .681*
         fund           Sig. (2-tailed)                             .015
                             N                   12                 12
         Nifty               Pearson Correlation .681*              1
                             Sig. (2-tailed)       .015
                             N                     12               12
         *. Correlation is significant at the 0.05 level (2-tailed).
For Tata tax saver fund the correlation comes to that is 68.1% and the significance figure is
0.015. We accept the null hypothesis as there is correlation of Tata tax saver fund with its
benchmark that is nifty.
TREYNOR RATIO
                                                                                         50 | P a g e
 A ratio developed by Jack Treynor that measures the returns earned in excess of that which could
 have been earned on a riskless investment per each unit of market risk.
 In other words, the Treynor ratio is a risk-adjusted measure of return based on a systematic risk.
 It is similar to the Sharpe ratio with the difference being that the Treynor ratio uses beta as the
 measurement of volatility. The Treynor ratio is a method often used by mutual fund to evaluate
 the performance of their funds and compare it to the market performance, the underlying
 philosophy being that the fund shall be classified as an out performer if it’s Treynor ratio comes
 to be greater than that of the market and vice versa.
The ratio signifies the return per unit of risk, thus the ratio is of the following form:
(R – R f) /
R = returns
 Thus for the purpose of comparing the performance of our portfolio with the market, BSE200
 was taken as the market benchmark. The comparison was done again for the period between 1 st
 April, 2008 to 31st March; 2009.The Treynor ratio of S&P Nifty, for the aforementioned period
 was calculated as follows
(Rm – r f) /beta
                                                                                             51 | P a g e
                            TREYNOR RATIO
   0      HDFC TAX   RELIANCE TAX TATA TAX          S&P NIFTY
          SAVER FUND SAVER FUND SAVER FUND
-0.1
-0.2
-0.3                                                               TREYNOR RATIO
-0.4
-0.5
-0.6
-0.7
-0.8
-0.9
  -1
                                TREYNOR RATIO
              HDFC EQUITY   RELIANCE       TATA EQUITY     S&P NIFTY
   0          FUND          EQUITY FUND    FUND
-0.1
-0.2
-0.5
-0.6
-0.7
-0.8
-0.9
                                                                                     52 | P a g e
 FUND              HDFC              Reliance          Tata Growth
                   Growth Fund       Growth Fund       Fund
                                TREYNOR RATIO
              HDFC Growth Fund Reliance Growth Fund   Tata Growth Fund
    0
-0.2
-0.4
                                                                           TREYNOR RATIO
 -0.6
-0.8
-1
-1.2
-1.4
The Sharpe ratio is a single number which represents both the risk, and return inherent in the
fund. As is widely accepted, high returns are generally associated with a high degree of
volatility. The Sharpe ratio represents the tradeoff between risk and returns. At the same time, it
also factors in the desire to generate returns, which are higher than risk-free returns.
                                                                                        53 | P a g e
       Fund                                      HDFC Tax Saver Reliance   Tax Tata Tax Saver
                                                 Fund           Saver Fund     Fund
Mathematically, the Sharpe ratio is the returns generated over the risk free rate, per unit of risk.
Risk in this case is taken to be the fund’s standard deviation. A higher Sharpe ratio is therefore
better as it represents a higher return generated per unit of risk.
X= investment
                                      Sharpe Ratio
        0.82
        0.74
        0.66                                                             Sharpe Ratio
                           nd               nd               nd
                       r Fu             r Fu             r Fu
                     ve               ve               ve
                   Sa               Sa               Sa
             Ta
               x               ax               ax
        FC                  ceT              taT
      HD                lia
                           n               Ta
                      Re
                                                                                                   54 | P a g e
                                 Fund                        Equity Fund        Fund
                                     Sharpe Ratio
    0                      d                       d                     d
                        Fun                     Fun                   Fun
 -0.02             ui
                     ty                     ity               u   ity
                Eq                       Equ                Eq
 -0.04     FC                          e                 ta                   Sharpe Ratio
                                     nc                Ta
         HD                     le ia
 -0.06                         R
 -0.08
  -0.1
 -0.12
 -0.14
                                                                                             55 | P a g e
                       -0.2
                                      -0.1
               -0.25
                              -0.15
                                                  -0.05
                                                                      0
                                                 HD
                                                   FC
                                                          GR
                                                            OW
                                                                 TH
                                                                      FU
                                                                        ND
                                             RE
                                               LIA
                                                   NC
                                                      E   GR
                                                            OW
                                                                 TH
                                                                      FU
                                                                        ND
                                                 TA
                                                    TA
                                                          GR
                                                            OW
                                                                 TH
                                                                      FU
                                                                        ND
56 | P a g e
ANALYSIS ON THE BASIS OF BETA
BETA
Beta is a statistical tool, which gives you an idea of how a fund will move in relation to the
market. In other words, it is a statistical measure that shows how sensitive a fund is to market
moves. If the sense moves by 25%, a fund’s beta number will tell you whether the fund’s returns
will be more than this or less.
The beta value for an index itself is taken as 1. Beta depends on the index used to calculate it but
it bears no correlation with the movements in the funds. The R-Square value shows how reliable
the beta number is. It varies between 0 and 1. An R- squared value of one indicates perfect
correlation with the index. Thus, an index fund investing in the Sensex should have an R-squared
value of one when compared to the sense.
BETA
    1
  0.8
                                                                                     BETA
  0.6
  0.4
  0.2
    0
         HDFC EQUITY    RELIANCE EQUITY    TATA EQUITY       S&P NIFTY
         FUND           FUND               FUND
                                                                                           57 | P a g e
Fund                 HDFC             Reliance         Tata Growth         Sensex
                     Growth Fund      Growth Fund      Fund
                                       BETA
    1
  0.8
  0.6                                                                               BETA
  0.4
  0.2
    0
            HDFC GROWTH
            FUND        RELIANCE
                        GROWTH FUND TATA GROWTH
                                    FUND                  SENSEX
BETA
        1
   0.8
   0.6                                                                                             BETA
   0.4
   0.2
        0
             HDFC TAX SAVER   RELIANCE TAX   TATA TAX SAVER    S&P NIFTY
             FUND             SAVER FUND     FUND
                                                                                    58 | P a g e
                    PROBLEM FACED BY ME
During the two months learning experience, we came across several problems which dealing
with prospective investors, as we made efforts to transform their wrong perspective about MF’s
which unfortunately were a result of lack of information, & knowledge about this investment
avenue.
1) The misconception that MF’s are all about shares equity marketing-
       This was probably the most difficult thing to explain to prospective investors that MF’s
       are not all about equity markets. It was an experience education them about the various
       avenues MF’s invested in, right from debt market, to call money & sovereign papers.
       Yet another huge misconception that today exists in potential investors is that all scheme
       offered by MF are high risk oriented, thus it was again quite an experience explaining &
       informing them about several products available which cater to the risk appetite of
       investors across the board depending on the investors risk profile.
   3) Comparison with governments assured return schemes & other assured return
      avenues-
       The sales calls that we made had one thing in common people’s expectation for assured
       returns & their knacks of comparing MF’s with government offered schemes like PPF,
       IVP, KVP, etc and since MF’s do not offer assured returns it was tough task convincing
       investors that in today’s context assured returns are even more risk oriented propositions
       because of credit risk- and even more risk oriented propositions because of credit risk and
       further convincing them of the benefits of anytime liquidity offered by MF’s which other
       investment avenues did not offer.
                                                                                       59 | P a g e
                                      FINDINGS
In the first part of our project we have compared the performance of HDFC Mutual fund with
other mutual funds. In that we have compared the performance of HDFC Equity fund with equity
schemes of other mutual funds. Secondly performance of HDFC Growth Fund with Growth
Schemes of other mutual funds. Then HDFC Tax Saver Fund with tax savings schemes of other
mutual funds. For the analysis of first part we took Sharpe ratio, Treynor ratio, beta coefficients
as our tools to measure volatility of the schemes. Secondly we calculated correlations
coefficients between schemes of mutual funds with their benchmark indices to evaluate the
performance of schemes using SPSS Software.
In the second part of our project we constructed a questionnaire and took a sample of 200 and
tried to find out the reasons about their perception towards investing in mutual fund. For the
analysis of this part, we took the help of SPSS Software. In that we constructed cross tables to
measure consumer perception with different characteristics.
Then we used discriminate analysis for categorical study of risk (1) and non-risk (2) with other
independent variables to study consumer perception about mutual fund investments.
                                                                                        60 | P a g e
                               SUGGESTIONS:
1. Mutual Funds should maintain its quality of minimum risk for attracting large investment.
2. With the booming economy here is a need to provide proper knowledge about mutual funds so
that investors invest easily.
3. Promotion efforts can increase the selling of mutual fund schemes, therefore these must be
done timely & wisely.
                                                                                      61 | P a g e
                                 CONCLUSION
Mutual funds have been a growth industry, and more and more investors have become mutual
fund owners over the years. This reports all the sides of the issue and compares some of the
equity schemes of HDFC Mutual Fund with Reliance and Tata. It focuses on a more objective
approach to one of the most important decisions people make is how to invest their money
appropriately. On the basis of the study undertaken by us and the data that was collected by us
and thus analyzed it was found that people prefer to invest in mutual funds because of liquidity,
tax benefits and for less amount of risk as compared to investing in the equity market. Since the
concept of mutual fund is not new most of the people have awareness about it. The investors of
HDFC mutual fund have great reliability on it because of the company’s good performance and
its good brand image. At last it can be concluded that mutual fund is an ideal investment vehicle
for today’s complex and modern scenario.
                                                                                      62 | P a g e
                             BIBLIOGRAPHY
www.ho.fund.com
www.bse.com
www.nseindia.com
www.moneycontrol.com
JOURNALS
                                                                                    63 | P a g e
                                   APPENDIX
QUESTIONNAIRE
Sample Characteristics:
Name:
Occupation:
Contact number:
     (a) < 18 years      (b) 20-35 years       (c) 35-50 years      (d) 50-60 years       (e) > 60
     years
(a) < Rs. 1 lakhs (b) 1-2 lakhs (c) 2-3 lakhs (d) 3-4 lakhs (e) > 4 lakhs
     (a) Equity market (b) Fixed deposits (c) Saving’s a/c (d) Insurance                 (e) Mutual
     Funds
                                                                                         64 | P a g e
(b) Invest the money by a mutually co-operative group.
(c) High returns with moderate risk.
(d) Safe vehicle for investment purposes.
(a) Risk (b) Return on Investment (c) Time period (d) Tax benefits
(e) Diversification
(a) < 6months (b) 6months-1yr (c) 1-3yrs (d) 3-5 yrs (e) > 5 yrs
7. Which type of mutual fund scheme would you like to invest in?
Please rank the following statements on the basis of these graphic indications:
: Strongly agree
: Agree
: Disagree
: Strongly disagree
                                                                                     65 | P a g e
9. Is investing in Mutual fund less risky as compared to other options available in the
   market.
() () () () ()
10. are you satisfied with the return on investment from the mutual fund.
() () () () ()
11. Does brand name of a company affects your investment decision in any mutual fund.
() () () () ()
12. A tax benefit offered by various schemes of mutual funds affects your investment
    decision.
() () () () ()
13. Systematic financial planning helps you in achieving your financial goals.
() () () () ()
() () () () ()
Date: ________________
66 | P a g e