A STUDY OF FUND SELECTION BEHAVIOUR OF INDIVIDUAL INVESTORS TOWARDS MUTUAL FUNDS - With Reference To Mumbai City
- Ms. Kavitha Ranganathan (M.Phil – Commerce), Madurai Kamaraj University
ABSTRACT
Consumer behaviour from the marketing world and financial economics has brought together to the surface an exciting area for study and research: behavioural finance. The realization that this is a serious subject is, however, barely dawning. Analysts seem to treat financial markets as an aggregate of statistical observations, technical and fundamental analysis. A rich view of research waits this sophisticated understanding of how financial markets are also affected by the ‘financial behaviour’ of investors. With the reforms of industrial policy, public sector, financial sector and the many 留學(xué)生金融學(xué)碩士dissertation定制developments in the Indian money market and capital market, Mutual Funds which has become an important portal for the small investors, is also influenced by their financial behaviour. Hence, this study has made an attempt to examine the related aspects of the fund selection behaviour of individual investors towards Mutual funds, in the city of Mumbai. From the researchers and academicians point of view, such a study will help in developing and expanding knowledge in this field.
1. INTRODUCTION
The Indian capital market has been growing tremendously with the reforms of the industrial policy,
reforms of public sector and financial sector and new economic policies of liberalization, deregulation
and restructuring. The Indian economy has opened up and many developments have been taking place in
the Indian capital market and money market with the help of financial system and financial institutions or
intermediaries which foster savings and channels them to their most efficient use. One such financial
intermediary who has played a significant role in the development and growth of capital markets is
Mutual Fund (MF).
The concept of MFs has been on the financial landscape for long in a primitive form. The story of mutual
fund industry in India started in 1963 with the formation of Unit Trust of India, at the initiative of the
Government of India and Reserve Bank. The launching of innovative schemes in India has been rather
slow due to prevailing investment psychology and infrastructural inadequacies. Risk adverse investors
are interested in schemes with tolerable capital risk and return over bank deposit, which has restricted the
launching of more risky products in the Indian Capital market. But this objective of the MF industry has
changed over the decades. For many years funds were more of a service than a product, the service being
professional money management. In the last 15 years MFs have evolved to be a product. The term
‘ product’ is used because MF is not merely to park investor’ s savings but schemes are ‘ tailor made’ to#p#分頁標(biāo)題#e#
cater to investor’ s needs, whatever their age, financial position, risk tolerance and return expectations.
This issue of combining service and product will be an important one for the next decade.
Mutual funds have opened new vistas to millions of small investors by virtually taking investment to
their doorstep. In India, a small investor generally goes for bank deposits, which do not provide hedge
against inflation and often have negative real returns. He has limited access to price sensitive information
and if available, may not be able to comprehend publicly available information couched in technical and
legal jargons. He finds himself to be an odd man out in the investment game. Mutual funds have come,
as a much needed help to these investors. MFs are looked upon by individual investors as financial
intermediaries/ portfolio managers who process information, identify investment opportunities, formulate
investment strategies, invest funds and monitor progress at a very low cost. Thus the success of MFs is
essentially the result of the combined efforts of competent fund managers and alert investors. A
competent fund manager should analyze investor behaviour and understand their needs and expectations,
to gear up the performance to meet investor requirements.
2. STATEMENT OF THE PROBLEM
In India, though the MF industry has been in existence since 1964, (with the establishment of UTI), no
major study has been done regarding the investor behavioural aspect with specific reference to MFs, in
India. It should be noted that the “expectations” of investors play a vital role in the financial markets.
They influence the price of the securities, the volume traded and various other financial operations in
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actual practice. These ‘ expectations’ of investors are influenced by their “perception” and humans
generally relate perception to action. The beliefs and actions of many investors are influenced by the
dissonance effect and endowment effect.
The tendency to adjust beliefs to justify actions is a psychological phenomenon termed by Festinger
(1957) as “Cognitive Dissonance”. We find the evidence of prevalence of such a psychological state
among MF investors in India. For instance, UTI, which is synonymous to mutual funds in India, had a
glorious past and perceived as a safe, high yield investment vehicle with the added tax benefit. Many
UTI account holders have justified their beliefs by staying invested in UTI schemes even after the 1999
bail out and the July 2001 episode of repurchase freeze on US 64 for 6 months. “Endowment Effect” is
explained by Thaler Kahneman and Knetsh (1992) thus: “People are more likely to believe that
something they own is better than something they do not own”. We have evidence of this effect also
among Indian MF investors, for, how else we can explain the existence of many poor performing funds#p#分頁標(biāo)題#e#
with investors staying invested with them?
In general, rules for investment, the analysis of investment and discussion of financial behaviour tend to
assume behaviour, which is logical and internally consistent in various ways. Investor behaviour does
not; however, always appear to conform to such expectational norms. Quite the reverse often appears to
be the case; Kahneman and Riepe speak of “ Cognitive Illusion” the mental equivalent of optical illusion,
the assumption being that just as an optical illusion might lead to inconsistent physical performance
relative to the world outside the individual, so too cognitive illusion will result in inconsistent decision
making with respect to the outside world. Much of economic and financial theory is based on the notion
that individuals act rationally and consider all available information in the decision making process.
However, in the financial literature, there are no clear models, which explain the influence of
“perception” and “beliefs” on “expectations” and “decision making”. No doubt, reality is so complex that
trying to fit individual investor’ s behaviour into a model is impossible. Investor’ s behaviour may change
from period to period even if the other variables influencing the behaviour are held constant. However, to
a certain extent, we can borrow concepts from social psychology where behavioural patterns, rational and
irrational are observed and empirically tested. On the same lines we can develop certain models to
identify the financial behaviour, to the extent of the availability of the explanatory variables. Such
models can help to understand the “why” and “ how?” aspect of investor behaviour, which can have
managerial implications for policy makers.
Hence, with this background, this study attempts to evaluate the behavioural aspects of fund selection
techniques of individual investors and also to assess the conceptual awareness of MFs during the period,
July 2004- December 2004.
3. LITERATURE REVIEW
MFs have attracted a lot of attention and kindled the interest of both academic and practitioner
communities. Compared to the developed markets, very few studies on MFs are done in India. This
literature review reveals Investor behaviour studies which can be grouped under two themes.
3.1) Studies relating to General Financial Behaviour of Investors.
3.2) Fund Selection Behaviour Studies.
3.1) General Financial Behaviour Studies:
Daniel Kahneman and Amos Tversky (1979) originally described “ Prospect Theory” and found that
individuals were much more distressed by prospective losses than they were happy by equivalent gains.
Some economists have concluded that investors typically consider the loss of $1 twice as painful as the
pleasure received from a $ gain. Individuals will respond differently to equivalent situations depending#p#分頁標(biāo)題#e#
on whether it is presented in the context of losses or gains. Here is an example from Tversky and
Kahneman 1979 article. Tversky and Kahneman presented groups of subjects with a number of
problems. One group of subjects was presented with this problem.
1. In addition to what you own, you have been given $1000. You are now asked to choose between
A. A sure gain of $500.
B. A 50% chance to gain $1,000 and a 50% chance to gain nothing.
Another group of subjects were presented with another problem.
2. In addition to whatever you own, you have been given $2000. You are now asked to choose between:
A. A sure loss of $500.
B. A 50% chance to lose $1,000 and 50% chance to lose nothing.
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In the first group 84% chose A. In the second group 69% chose B. The two problems are identical in
terms of net cash to the subject; however the phrasing of the question causes the problem to be
http://www.400190.com/dissertation_writing/Finance/interpreted differently.
Langer (1983) suggests that when these preferences are based on choices, there is more ego involvement
and attachment to the preferences, suggesting heightened level of preference bias. This phenomenon is
consistent with the prediction from Cognitive Dissonance theory of Festinger (1957).
Robert J. Shiller (1993) reported that many investors do not have data analysis and interpretation skills.
This is because, data from the market supports the merits of index investing, passive investors are more
likely to base their investment choices on information received from objective or scientific sources.
Phillip (1995) reported that there is a change in financial decision-making and investor behaviour as a
result of participating in investor education programmes sponsored by employees.
Berhein and Garnette (1996) affirmed Philip’ s findings and further stated that a serious national
campaign to promote savings through education and information could have a measurable impact on
financial behaviour.
Alexander et al., (1996) reported that only 18.9% of respondents could provide an estimate of expenses
for their largest MF holding. 57% stated that they did not know what the expenses were even at the time
they made the MF purchase. This suggests insensitivity to costs and many investors do not use fund costs
as an evaluative criterion in making investment decisions.
Hirshleifer (2001) categorized different types of cognitive errors that investors make i.e. self-deception,
occur because people tend to think that they are better than they really are; heuristic simplification,
which occurs because individuals have limited attention, memory and processing capabilities; disposition
effect, individuals are prone to sell their winners too quickly and hold on to their losers too long
(http://www.investorhome.com/psych.htm).#p#分頁標(biāo)題#e#
3.2) Fund Selection Behaviour Studies:
Investor fund selection Behaviour influences marketing decisions of fund management and has captured
the attention of researchers. The findings are reported below:
• Foreign Studies:
Ippolito (1992) and Bogle (1992) reported that fund selection by investors is based on past performance
of the funds and money flows into winning funds more rapidly than they flow out of losing funds.
Goetzman (1993) and Grubber (1996) studied the ability of investors to select funds and found evidence
to support selection ability among active fund investors.
Malhotra and Robert (1997) reported that the preoccupation of MF investors with using performance
evaluation as selection criteria is misguided because of volatility of returns, which may be due to
superior management or just good luck is difficult to determine. The findings of Ferris and Chance
(1987), Trzeinka and Zwing (1990), and Chance and Ferris (1991) are consistent with the findings of
Malhotra and Robert (1997).
Lu Zheng (1998) examined the fund selection ability of MF investors and found that the investor’ s
decisions are based on short-term future performance and investors use fund specific information in their
selection decision.
• Indian Studies:
Vidyashankar (1990), Agarwal G.D. (1992), Gupta L.C. (1993) Atmaramani (1996), Madhusudan (1996)
and Ajay Srinivasan (1999) and others have conducted extensive research regarding investor
expectations, protection, awareness and fund selection behaviour. Few striking ones among the other
studies are given below.
Gupta L.C. (1993) conducted a household investor survey with the objective to provide data on investor
preferences on MFs and other financial assets.
Madhusudhan V. Jambodekar (1996) conducted a study to assess the awareness of MFs among
investors, to identify the information sources influencing the buyer decision and the factors influencing
the choice of a particular fund. The study revealed that income schemes and open-ended schemes are
preferred over growth schemes and close-ended schemes during the prevalent market conditions.
Investors look for Safety of Principal, Liquidity and Capital Appreciation in order of importance;
Newspapers and Magazines are the first source of information through which investors get to know about
MFs / Schemes and the investor service is the major differentiating factor in the selection of MFs.
Sujit Sikidar and Amrit Pal Singh (1996) carried out a survey with an objective to understand the
behavioural aspects of the investors of the North Eastern region towards equity and MFs investment
portfolio. The survey revealed that the salaried and self-employed formed the major investors in MFs
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primarily due to tax concessions. UTI and SBI schemes were popular in that part of the country then and
other funds had not proved to be a big hit during the time when the survey was done.#p#分頁標(biāo)題#e#
Raja Rajan (1997, 1998) highlightened segmentation of investors on the basis of their characteristics,
investment size, and the relationship between stage in life cycle of the investors and their investment
pattern.
Syama Sunder (1998) conducted a survey to get an insight into the MF operations of private institutions
with special reference to Kothari Pioneer. The survey revealed that the awareness about MF concept was
poor during that time in small cities like Vishakapatnam. Agents play a vital role in spreading the MF
culture; open-end schemes were much preferred then; age and income are the two important determinants
in the selection of fund / scheme; brand image and return are their prime considerations.
An attempt was made by the NCAER in 1964 to understand the attitude and motivation for the savings
of individuals, for which a survey of households was undertaken. Another NCAER study in 1996
analyzed the structure of the capital market and presented the views and attitudes of individual
shareholders. SEBI-NCAER survey (2000) was carried out to estimate the number of households and the
population of individual investors, their economic and demographic profile, portfolio size, and
investment preference for equity as well as other savings instruments. This is a unique and
comprehensive study of individual investors, for, data was collected from 3, 00,000 geographically
dispersed rural and urban households. Some of the relevant findings of the study are: Households
preference for instruments match their risk perception; Bank Deposit has an appeal across all income
class; 43% of the non-investor households (estimated around 60 million households) apparently lack
awareness about stock markets; and, compared with low income groups, the higher income groups have a
higher share of investments in MFs signifying that MFs have not truly become the investment vehicle for
small investors; the number of households owning units of mutual funds is more (9%) than the investor
households owning investments in shares and debentures (8%). Nevertheless, the study predicts that in
the next two years (i.e., 2000 hence) the investment of households in MFs is likely to increase.
Shanmugham (2001) conducted a survey of 201 individual investors to study the information sourcing
by investors, their perception of various investment strategy dimensions and the factors motivating share
investment decisions, and reported that, psychological and sociological factors dominated economic
factors in share investment decisions.
Rajeshwari T.R and Rama Moorthy V.E (2002) studied the financial behaviour and factors influencing
fund/scheme selection of retail investors by conducting Factor Analysis using Principal Component
Analysis, to identify the investor’ s underlying fund/scheme selection criteria, so as to group them into
specific market segment for designing of the appropriate marketing strategy.#p#分頁標(biāo)題#e#
Kiran D. and Rao U.S. (2004) identified investor group segments using the demographic and
psychographic characteristics of investors using two statistical techniques, namely – Multinomial
Logistic Regression (MLR) and Factor Analysis.
An article by Personal fn (http://www.personalfn.com) for Business India August 2, 2004 with the title,
“The Golden Nest Egg”, reported that, investor’ s age could be used as a benchmark to determine the
nature of the portfolio.
Table 3.1
INDICATIVE PORTFOLIOS FOR VARIOUS AGE GROUPS
AGE EQUITY
MF
BALANCED
MF
MIPs DEBT
MF
FIXED
INCOME
TOTAL
EQUITY
TOTAL
DEBT
Below 30 Yrs 50% 30% 5% 5% 10% 70% 30%
30-45 Yrs 40% 30% 15% 5% 10% 60% 40%
45-55 Yrs 25% 25% 25% 5% 20% 45% 55%
Above 55 Yrs 5% 10% 40% 5% 40% 15% 85%
Review of Literature reveals that in developed markets lot of study has been done, but developing
markets also deserve an extensive research.
4. OBJECTIVES OF THE STUDY
The study has the following general Objectives:
A-1: To assess the savings objectives among individual investors.
A-2: To identify the preferred savings avenue among individual investors.
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A-3: To understand the preferential feature in the savings instrument among individual investors.
A-4: To assess Mutual fund conceptual awareness among present investors.
The study also attempts to test/assess other specific objectives such as:
B-1: To assess the fund/ scheme preference of investors.
B-2: To evaluate fund qualities that would affect the selection of Mutual funds.
B-3: To perceive the preferred communication mode of investors.
B-4: To understand the fund sponsor qualities influencing the selection of MFs/Schemes.
B-5: To identify the information sources influencing the scheme selection decision of investors.
B-6: To identify the most popular Mutual Funds among individual investors.
B-7: To assess the influence of personal variables on the MF conceptual awareness level of
individual investors.
B-8: To evaluate investor related services that would affect the selection of Mutual funds.
B-9: To establish a relationship between types of investors and MF qualities that influence
MF/Scheme selection.
5. METHODOLOGY
5.1 Data and Data Sources:
The study mainly deals with the financial behaviour of Individual Investors towards Mutual funds in
Mumbai city. The required data was collected through a pretested questionnaire administered on a
combination of simple random and judgement sample of 100 educated individual investors. Judgement
sample selection is due to the time and financial constraints. . Respondents were screened and inclusion
was purely on the basis of their knowledge about Financial Markets, MFs in particular. This was
necessary, because the questionnaire presumed awareness of some basic terminology about Mutual#p#分頁標(biāo)題#e#
Funds. The purpose of the survey was to understand the behavioural aspects of individual investors,
mainly their fund selection behaviour, various factors influencing this behaviour and also the conceptual
awareness level among individual investors. The survey was conducted during September-October 2004,
among 100 educated, geographically dispersed individual investors of Mumbai city. Sample of the
questionnaire is given in Annex I and Distribution of individual investors by Demographic factors is
given in Annex II, A 2.1. The unit of observation and analysis of survey is only among Individual
Investors whose definition is “ An Individual who has currently invested (i.e. as on September or
October 2004) in any Mutual Funds and this does not include high net worth individuals (i.e., those who
earn above Rs. 10,00,000/- per annum) and institutions. Since it is an exploratory study no specific
hypothesis is formulated.
5.2 Limitations of the Study:
1. Sample size is limited to 100 educated individual investors in the city of Mumbai. The sample
size may not adequately represent the national market.
2. Simple Random and judgement sampling techniques is due to time and financial constraints.
3. This study has not been conducted over an extended period of time having both ups and downs of
stock market conditions which a significant influence on investor’ s buying pattern and preferences.
6. FINDINGS OF THE STUDY:
The survey conducted during September-October, 2004, in Mumbai, to capture investor behaviour
pattern in selection of MFs, reveals the following.
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1. Savings Objective of Individual Investors
Savings Objective of the majority of Individual Investors is ‘ to provide for Retirement’ , thus throwing
light on the nature of risk averse investors. AMC can attract a pool of investors by designing products for
Risk-Averse investors.
2. Savings Instrument Preference among Individual Investors
Asset preference pattern of investors provides an insight into the investment attitude of investors, which
will influence the policy formation for garnering the individual savings. The study reveals that ‘ Pension
and Provident Fund’ are the most popular savings instrument among individual investors of Mumbai, as
it is one of the few financial products, which enable an average salaried person to get reasonable and
regular returns, along with safety of capital.
3. Current Attitude of Individual Investors towards the Following Financial
Instruments, In the Indian Capital Market.
Every asset class has different characteristics. Stocks have the potential to provide high total returns with
proportionate level of risk, while bonds may provide lower risks along with regular income. The attitude
of every individual investor may be influenced by their investment goals, risk tolerance, time horizon,#p#分頁標(biāo)題#e#
personal circumstances or performance aspect of the asset class.
The Financial instruments i.e. Shares, mutual Funds, Bonds and debentures were rated on a 5-point scale.
Shares were rated as ‘ Favourable’ at 3.65 and MFs, Bonds and Debentures were rated in the ‘ Somewhat
Favourable’ category. It is inevitable that there is a wide opportunity for MFs rated at 3.34 to slip into the
‘ Favourable’ slot, as the MF sector is poised for growth. The MF industry has evolved in many aspects
i.e. product innovation, distribution reach, investor education or leveraging technology for enhancing
service standards. As MF is an ideal vehicle for both Debt and Equity products, it has the potential to
emerge as one of the major growth drivers of the market in future.
4. Mutual Fund Investment Preference in Future.
The study reveals that, there is a fair opportunity for MF investments in future as 39% of the respondents
have voted towards ‘ Yes’ . However, 21% have voted ‘ No’ and 40% as ‘ Not Sure’ as their preference in
future MF investment. However, the ‘ No’ and ‘ Not Sure’ category should be matter of concern to the
AMCs. There must be ample reasons for 61% (21 + 40; No and Not Sure category) of the investors to
have posed a negative approach towards MFs. Firstly, AMCs should take steps and see that funds are not
virtually at the mercy of institutional investors. MFs should not indulge in unethical practices and launch
schemes that benefit institutional investors at the cost of retail investors. Also, the AMCs should try and
tap the NRI market, as they can diversify from Bank Deposits to MFs. The main task at hand for the
AMCs is to tackle investor sentiments with greater transparency and credibility in the functioning
5. Mutual Fund Scheme Preference among Individual Investor
Investors have a plethora of options ranging from Growth schemes to Fixed Income schemes. Now-adays
investors are not offered just plain vanilla schemes but an assorted basket to tune with their risk
appetite. MF scheme preference for majority of investors is ‘ Growth Scheme’ . The preference for growth
or any other scheme is also influenced by stock market conditions prevailing at the time of investment
decision. The prevailing market conditions have prompted investors to look for growth schemes and
income schemes have become unattractive due to dropping interest rates. This further indicates the
growing alertness of investors.
6. Scheme Preference by Operation among Individual Investors
Analysis of scheme preference by nature of operation reveals the popularity of ‘ Open- Ended’ scheme. In
India majority of schemes are Open- Ended as investors can buy or sell units at NAV related prices.
During 2003 –04, 46 new schemes were launched, of which 44 were Open Ended and 2 were Close#p#分頁標(biāo)題#e#
Ended. The preference to Open- Ended scheme has also given due importance to ‘ Liquidity’ . On the
other hand, only 9% of the respondents have voted for ‘ Interval Schemes” which shows lack of
awareness with regard to this feature.
7. Preferential Feature in Mutual Funds among Individual Investors
Mr. M. Damodaran, Chairman of UTI, has summed the psyche of a typical Indian Investor in three
words; Yield, Security and Liquidity. The study also shows the investors’ need for ‘Good Return’ is
highest among other features, followed by Safety, Liquidity, Tax Benefit, Capital Appreciation,
Professional Management and Diversification Benefits.
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8. Preferable Route to Mutual Fund Investing Among Individual Investors
Investors may use some sources to gain awareness regarding investing in Mutual Funds. The sources in
the present study are confined to Reference groups, Newspapers – General & Business, Financial
Magazines, Television, Brokers/ Agents, E-Mail and Stores Display. Findings of the study reveal that
investors attach high priority to published information, thereby preferring Newspapers – General &
Business and Financial Magazines. This throws light on the possibility that MF investors spend time
analyzing and examining relevant information before taking any crucial decision.
9. Preferred Mode of Communication in Mutual Fund Investing Among Individual
Investors
The survey reveals that, 29% of the respondents of Mumbai city use Internet facility to know more about
MFs. Another 29% of respondents prefer to get routine or special information like NAV, dividend,
bonus, change in asset mix etc. by personally visiting the office. While 30% of the respondents prefer to
telephone the office and 12% in the survey have no preferences. The results of the study show that
almost equal importance is given to all modes of communication. This gives the message of catapulting
improvement in Internet and telecommunication services in India. Now-a-days financial services are ‘ just
a phone call away’ . There is also possibility of more usage of automated services if made more ‘ user
friendly’ . This study was conducted in a cosmopolitan city, Mumbai, hence, the choice of the rural
population can be guessed in favour of ‘ Personal Mode’ .
10. Preference of Mutual Fund Investing Over Equity Investing
The emergence of an array of savings and investment options and the dramatic increase in the popularity
of Mutual Funds, in the recent years in India, has opened up an entirely new area for value creation and
management. A house-holder investor with few rupees left over after paying for housing and twowheeler
installments, is puzzled as to where he must park his funds safely, given the volatility of the
market. The truth of the matter is that average Indian investor is a greenhorn when it comes to financial#p#分頁標(biāo)題#e#
markets. The causes are many; lack of opportunity, lack of conceptual understanding and the influence of
fixed income orientation in the Indian culture.
The study too revealed that 48% of the small investors of Mumbai preferred to invest in MFs .The theory
behind this is that, by pooling together a huge aggregation of individual savings and investing them,
using the professional judgment of the fund manager, one spreads risk, takes advantage of volume
buying and scientific data analysis, expertise and so on. This seems to be an ideal option for the
individual who does not have the time, knowledge and expertise to make a succession of judgments
involving hard earned savings.
On the other hand, there emerged another category of people, which evolved to 31% according to the
study, who do not want to be at the mercy of the broker-friend-advisor network. These individual
investors are able to articulate their own situation and risk preference and then apply a strategy that
combines the usual four; cash and equivalents, government bonds, debt and equity. The catch is that only
few have the capability to do the dynamic juggling among the four on their own. The study reveals yet
another category of respondents, ‘ Do Not Know’ , which sums up to 21%. This category may include
people who either have a low awareness level about MF industry or still do not completely believe that
MFs can get the same return like that of Equity shares. This calls for an extensive and comprehensive
education programme among the people.
11. Mutual Fund Conceptual Awareness Level of Individual Investors
Investors, while taking their investment decisions use unique internal characteristics (influenced by their
cognitive domain) and also yield to the environmental pressures of the external financial markets.
‘ Awareness’ belongs to the cognitive domain. Hence, it is essential for the AMCs to know the level of
awareness about MFs among the investing public. This will enable them to create an external
environment that can influence investment decisions of investors. The study reveals that the general
awareness level among individual investors of the concept and functioning of MFs is good.
The number of respondents who have good awareness level of MFs results to 53%. This could be
attributed to the wide publicity given to MF industry by the media for varied reasons. Agent training
programmes and investor education programmes organized by AMFI at regional levels during 2003-04
could also have contributed to this level of awareness However, this study was based in a metropolitan
city of Mumbai where the awareness level may be considerably high. But, the litmus test for the industry
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is the expansion of the distribution network to smaller urban and rural areas where most of the small
investors live. The challenge would be to educate these investors about the advantages of investing in#p#分頁標(biāo)題#e#
mutual funds compared to traditional saving instruments.
The results of Chi-Square test shows that Awareness level is Dependent only on Academic
Qualifications. AMCs should take note of this and follow a segmented approach in marketing the product
and in creating awareness.
12. Top-of-Mind-Recall of Mutual Funds/Schemes among Individual Investors
Top-Of-Mind Recall throws light on the strength of brand identity, awareness, acceptability and
preference. This calls for a high degree of brand equity and loyalty, which is the direct result of the
promotion strategy of the AMCs and a good performance over a period of time. MFs are no more just
financial instruments, rather a product or a service, which should be tailor-made to attract and retain
investors. AMCs should realize that it is not just the USPs (Unique Selling Propositions) that count, but
the ESPs (Extra Sensory Perceptions), which will help to track, gauge and deliver satisfaction to the
targeted investor groups.
Top-Of-Mind Recall test of Mutual Funds was administered in the questionnaire, which was distributed
to 100 respondents during September – October 2004, in Mumbai. This study yielded superlative results
where 22 registered MFs (not schemes) were recalled by the investors, UTI being most promptly
remembered among the investors. It is baffling to know that out of 37 registered MFs, 22 MFs (not
schemes) were recalled, in a few moments of time spent by the investor in filling up the questionnaire.
13. Factors Influencing Fund/Scheme Selection by Individual Investors
A set of 25 statements, sub grouped into Fund related factors, Sponsor related factors and Investor
service related factors, were used to assess the scheme selection behaviour of investors. Among the 11
fund related variables analysed ‘ Fund Performance Record’ was considered as ‘ Highly Important’ ;
among the 6 Sponsor Qualities related variables analysed ‘Sponsor’ s expertise in managing money’ had
the highest WMV of 4.14 and was closely followed by ‘ Reputation of the sponsoring firm’ . Lastly
among the analysis of the 8 statements formulated regarding ‘ Investor related services’ all variables were
considered ‘ Important’ except ‘ Fringe benefits’ .
14. Factor Analysis Using Principal Component Analysis
“Often among the many variables you measure, a few are more related to each other, than they are to
others. Factor Analysis allows us to look at these groups of variables that tend to relate to each other and
estimate what underlying reasons might cause these variables to be more highly correlated with each
other” , Jeff Miller, Vice President, consulting and analytical, Burke, Inc. (Source: Marketing Research,
Naresh K Malhotra).
This tool of SPSS was extensively used to classify a large number of variables into smaller number of#p#分頁標(biāo)題#e#
factors. Factor Analysis was used to determine whether there was any common constructs that
represented investor concerns. 25 variables were analysed using the Varimax Algorithm of Orthogonal
Rotation, the most commonly used method. Evaluation of the resulting constructs and naming of the
factors is largely subjective. Hence, to identify investors’ underlying Fund/Scheme selection criteria, so
as to group them into specific factors, which would further identify Investor types, to enable the
designing of appropriate marketing strategies, Factor Analysis was done using Principal Component
Analysis.
• Factor analysis for Fund Related Qualities
In the Fund related qualities analysis, 11 variables were analyzed. Bartlett's test of sphericity and Kaiser-
Meyer Olkin (KMO) measure of sampling adequacy were used to examine the appropriateness of factor
analysis. The approximate chi-square statistic is 249.175 with 55 degrees of freedom, which is significant
at .000 levels. The KMO statistic (0.810) is also large (>0.5) Hence factor analysis is considered an
appropriate technique for further analysis of data.
Retaining only the variables with Eigen values greater than one (Kaiser's criterion), we can infer that
34.818% of variance is explained by factor 1; 10.857% of variance is explained by factor 2 and 9.277%
of variance is explained by Factor 3 and together, all the factors contributed to 54.952% of variance.
Factor loadings are very high in case of factor 1(9 out of 11 variables have factor loading >0.5).
Therefore, Varimax Rotation was done to obtain factors that can be named and interpreted. Under
Varimax Rotation 5 out of 11 variables have factor loadings>0.5 in case of factor 1. This reveals that
9
45% of variables are clubbed into one factor. On the basis of Varimax Rotation with Kaiser
Normalisation, 3 factors have emerged. Each factor is constituted of all those variables that have factor
loadings greater than or equal to 0.5. Thus A1, A2, A3, A4, and A10 constituted the first factor. It is
conceptualized as “ Intrinsic Fund Qualities "(consistent performance and reliability); A5, A7 and A8
constituted the second factor and this is conceptualized as "Credibility of Image"(trustworthy and
reputable, with investor’ s interests at heart); A6, A9 and A11 constituted the 3rd factor and are
conceptualized as "Flexible Investment Facilities"(simplicity and tailor-made investment patterns). Thus,
after rotation, factor 1(Intrinsic fund qualities) accounts for 20.594% of variance; factor 2(Credibility of
Image) accounts for 17.735% of variance and factor 3 accounts for 16.624% of variance and all 3 factors
together explain for 54.952% of variance.
The result, revealed 3 distinct factors which could further be associated to different types of Investors i.e.#p#分頁標(biāo)題#e#
Professional Investors, Image Conscious Investors & Cautious Investors.
Professional Investors: This type of investors have had some training to invest in financial investments,
indicating his confidence that he wouldn’ t lose more money than he would gain. Hence, Professional
Investors are those who demand intrinsic fund qualities as their primary requirement before investing in
MF/scheme. Fund performance & reputation, expense ratio, portfolio of investment & load factors are
their core concerns.
Image Conscious Investors: They define those types of investors who attach importance to reputation
and brand name. Reputation of fund manager, credibility & rating by agencies are fund qualities they
would look forward to.
Cautious Investors: These types of investors are generally risk averse and would prefer flexibility in
investment patterns which would further reduce his risk profile. Factors like withdrawal facilities &
minimum initial investment are their primary choice. Sometimes he may look for innovative schemes,
which may appease his risk appetite.
• Factor analysis for Sponsor Related Qualities
Retaining only variables with Eigen Values greater than 0.5, we can infer that 53.441% of variance is
explained by factor 1 and 13.545% of variance is explained by factor 2, both together contributing
66.985%.
A scrutiny of Factor Matrix reveals that factor loadings are very high in case of factor 1(all six variables
have factor loadings>0.5). It reveals that all variables are clubbed into one factor. Therefore, Varimax
Rotation was done to obtain factors that can be named and interpreted. On the basis of Varimax Rotation
with Kaiser Normalisation, 2 factors emerged. Each factor is constituted of all those variables that have
factor loadings greater than or equal to 0.5. Thus B4, B5 and B6 constituted the first factor. It is
conceptualized as "Competent Performance" and B1, B2 and B3 constituted the second factor and this
conceptualized as "Reputation". Thus, after rotation, factor 1 "Competent Performance"(possessing
knowledge, skills and infrastructure for consistent performance.) accounts for 33.761% of variance and
factor 2 "Reputation"(general recognition and approachability for ease of contact.) accounts for 33.224%
of variance and together they explain for 66.985% variance. UTI, the oldest and the largest fund, known
for its well-knit agency network, topped the 'Top of Mind Recall test’ . This supports the finding that
sponsor's performance and reputation do largely influence Investor perception and behaviour.
The factors thus extracted have enabled to identify types of investors who give importance to these
factors in their fund selection techniques.
Professional Investors: This category of investors identifies Sponsor's past performance, developed#p#分頁標(biāo)題#e#
research and infrastructure & money management expertise as essential in Fund Sponsor Qualities.
Image Conscious Investors: Reputation, brand name & developed agency and network of the Sponsoring
firm are the major factors influencing fund selection behaviour of investors.
• Factor Analysis for Investor Related Services
Retaining only variables with Eigen values greater than 1, we can infer that 44.541% of variance is
explained by factor 1, while 18.520% of variance is explained by factor 2 and cumulative % is 63.061.
Data analysis for Investor Service Related Qualities on the basis of Varimax rotation with Kaiser
Normalisation revealed the emergence of 2 factors. Each factor is constituted of all those variables that
have factor loading greater or equal to 0.5. Thus C1, C2, C3, C4, C5 & C6 constituted the first factor. It
is conceptualized as "Transparent Disclosure"(willingness to reveal necessary and important
information), C7 & C8 constituted the 2nd factor, which is conceptualized as "Tangibles/Fringe
Benefits"(facilities and physical features towards understanding needs of investors). Thus, after rotation,
factor 1 account for 40.219% of variance, factor 2 accounts for 22.842% of variance and together they
account for 63.061% of variance. The identified factors with associated variables and factor loadings are
given in table 6.1.
10
Therefore, investors are prominently influenced, in the selection of schemes, by the extent and quality of
disclosure of information subsequent to their investment, regarding disclosure of NAV, portfolio of
investment and disclosure of deviation from the stated objectives and the attached fringe benefits to the
schemes. Hence AMCs should take steps to be transparent and follow the disclosure norms spelt out by
SEBI and AMFI in this connection.
The factors thus extracted have enabled to identify types of investors who give importance to these
factors in their fund selection techniques.
Professional Investors: This category of investors identify Disclosure norms as prescribed by SEBI and
AMFI as significant factors in investor services i.e. Disclosure of investment objectives, periodicity of
valuation, method and periodicity of schemes sales & repurchases, disclosure of NAV on every trading
day & disclosure of deviation of investments from the original pattern. The need for Investor's grievance
redressal machinery is also felt significantly from the point of view of Individual Investors.
Approachability to the right people who possess knowledge & skills and are responsive in solving
problems of investors efficiently is the need of the hour. This calls for ' Investor Knowledge';
understanding needs personalized attention and effective communication to investors.
Image Conscious Investors: These investors give importance to services i.e. investor's grievance#p#分頁標(biāo)題#e#
redressal machinery or fringe benefits i.e. free insurance, credit cards, loans on collateral or tax benefits
and prefer MFs to avoid bad deliveries & unnecessary follow-up with brokers and companies.
Table 6.1
Results of Principal Component Analysis – Identification of Factors that affect Mutual
Fund/Scheme Selection
Factor Name Attributes leading at 0.5 or more Loading
% of ex
var*
Cumulative
% of ex.var
I Fund Related Qualities
A1. Fund performance record 0.742 20.594 20.594
A2. Fund’ s reputation or brand name 0.583
A3. Scheme’ s expense ratio 0.634
A4. Scheme’ s portfolio of investment 0.689
1 Intrinsic Fund
Qualities
A10. Entry and exit load 0.414
A5. Reputation of fund managers/
scheme
0.688 17.735 38.328
A7. Favourable rating by a rating
agency
0.778
2. Credibility of
Image
A8. Innovativeness of the scheme 0.660
A6. Withdrawal facilities 0.494 16.624 54.952
A9. Products with tax benefits 0.799
3. Flexible Investment
Facilities
A11. Minimum initial investment 0.723
II Fund Sponsor Qualities
1. Reputation B1. Reputation of sponsoring firm 0.731 33.761 33.761
B2. Sponsor has a recognised brand
name
0.807
11
Factor Name Attributes leading at 0.5 or more Loading
% of ex
var*
Cumulative
% of ex.var
B3. Sponsor has a well developed
agency and network
0.748
B4. Sponsor’ s expertise in managing
money
0.706
B5. Sponsor has a well developed
research and infrastructure
0.876
2. Competent
Performance
B6. Sponsor’ s past performance in
terms of risk and return
0.739
III Investor Related Services
C1. Disclosure of investment
objective
0.799 40.219 40.219
C2. Disclosure of periodicity of
valuation
0.812
C3. Disclosure of the method and
periodicity of the schemes sales and
repurchases
0.719
1. Transparent
Disclosure
C4. Disclosure of NAV on every
trading day
0.724
C5. Disclosure of deviation of
investments from the original pattern
0.732
C6. Mutual Fund’ s investor’ s
grievance redressal machinery
0.571
2. Tangibles/ Fringe C7. Fringe benefits 0.855 22.842 63.061
Benefits
C8. Prefer MF to avoid problems of
bad deliveries and follow up with
brokers and companies
0.893
15. Multinomial Logistic Regression
Multinomial Logistic Regression (MLR) can be used to predict a dependent variable on the basis of
independents and to determine the percent of variance in the dependent variable explained by the
independents, to rank the relative importance of independents and to assess interaction effects. In this#p#分頁標(biāo)題#e#
study, MLR was employed to seek a relationship between Fund qualities that affect selection of
MFs/Schemes and types of investors.
Segmentation of investor groups involves identifying homogenous groups of investors who behave
differently according to their characteristics. The risk capacity of an investor also needs to be understood
thoroughly for classifying investors groups. This categorization provides us with an important piece of
information, regarding individual’ s eagerness towards identifying those fund qualities that influence
MF/Scheme selection. The survey asked the investors to rate their current attitude towards the risky
Financial Instruments, Shares, on a 5-point Likert Scale where 5= Highly Favourable to 1 = Not At All
Favourable. Considering their current attitude, the investors were grouped into 5 types based on their
Risk profile and Expectations. Table 6.2 gives the classification of Investor groups.
12
Table 6.2
Classification of Investor Groups
Investor Types Risk Profile Expectations
Professional Takes Necessary Risks Maximum Return
Ambitious Highly Risk Taking High Short Term Returns
Moderate Comfortable Levels of Risk Good, Steady Return
Conservative Risk Averse Regular Income rather than Capital Gains
Cautious Extremely Risk Averse Minimum Return/ Capital Preservation
To classify the large number of Fund Qualities into smaller number of factors with common constructs,
Factor Analysis using Principal Component Analysis was applied. 7 Principal Components out of 25
fund qualities were extracted and subsequently named. Results of PCA- Identification of factors that
affect MF/Scheme selection is given in Table 6.1. An important part of Factor Analysis is to generate
Factor scores for each case or individual survey respondent. Factor/ Component scores reflect the
importance or otherwise of each component to each respondent. In the present study Anderson-Rubin (AR)
Factor scores were obtained for each respondent, for each of the 7 extracted principal factors. The AR
method of deriving Factor scores generates uncorrelated scores with zero mean and unit standard
deviation.
MLR technique was employed to seek a relationship between the Factor scores and types of investors, to
indicate statistically important factors that influence the Fund selection behaviour of different types of
investors. The latter acted as the dependent variable in the regression procedure and factor scores were
the independent variable. The types of investors, in this study constitute a categorical dependent variable.
MLR is specially designed for situations in which the dependent variable is categorical or discrete in
nature. Given the 5 categorizations for the dependent variable, MLR is simply a polychotonomous
extension of the widely applied dichotonomous logistic regression model. Additionally, MLR permits#p#分頁標(biāo)題#e#
independent variables that may be factors or covariates. The covariates must be continuous and that is the
case for the survey respondents A-R Factor scores. Analysis of MLR indicated that, in the order of
importance, Principal Factors 5, 3, 4 and 7 (Table 6.3) are the only statistically significant components
that influence an investor’ s selection of MFs/Schemes.
Table 6.3
Multinomial Logistic Regression Analysis,
Fund Qualities Affecting MF/Scheme Selection vs. Types of Investors
Model Fitting Information
255.646
197.509 58.137 28 .001
Model
Intercept Only
Final
-2 Log
Likelihood Chi-Square df Sig.
Pseudo R-Square
.441
.478
.227
Cox and Snell
Nagelkerke
McFadden
Likelihood Ratio Tests
Effect -2 Log Likelihood of
Reduced Model
Chi - square df Sig.
Intercept 262.006 64.497 4 .000
Factor 5
Competent Performance
211.152 13.643 4 .009
Factor 3
Flexible Investment Facilities
210.322 12.813 4 .012
Factor 4
Reputation
208.718 11.209 4 .024
Factor 7
Fringe benefits / Tangibles
206.181 8.672 4 .050
df = degrees of freedom Sig. = Significance
13
Classification
2 0 2 1 0 40.0%
0 1 0 1 0 50.0%
0 0 22 10 3 62.9%
0 0 5 29 5 74.4%
0 0 7 6 6 31.6%
2.0% 1.0% 36.0% 47.0% 14.0% 60.0%
Observed
1.00
2.00
3.00
4.00
5.00
Overall Percentage
1.00 2.00 3.00 4.00 5.00
Percent
Correct
Predicted
Interpretation of Significance Tests:
‘Likelihood’ is a probability, specifically the probability that the observed values of the dependent may
be predicted from the observed values of the independent. The log likelihood is its log and varies from 0
to minus infinity.
In the SPSS output for MLR analysis, Log Likelihood Tests appear as ‘ Sig’ in the ‘ Final’ row in the
‘ Model Fitting Information’ . A well fitting model is significant at .05 levels or lesser than that. In this
study, the ‘ Sig’ value in the ‘ Final’ row in the ‘ Model Fitting Information’ is .001, which proves the
analysis to be a well fitting model. The chi-square statistic is the difference in -2 log-likelihood between
the final model and a reduced model. Omitting an effect from the final model forms the reduced model.
The null hypothesis is that all parameters of that effect are 0. Cox/Snell, Nagelkerke and Mcfadden
psuedo (r2) co-efficient are 44.1%, 47.8% & 22.7%. If the chi-square statistic shows a small p value (p
<=0.05), it is assumed a good model fit. In the present study; Factor 5, “ Competent Performance”;
Factor 3, “Flexible Investment Facilities” ; Factor 4, “Reputation” and Factor 7, “Fringe Benefits” have#p#分頁標(biāo)題#e#
proved significant among other extracted factors, their p value being <= 0.05.
Therefore, the outcomes of the MLR analysis, allows the AMCs to identify which combination of
variables have significant influence on the Fund selection behaviour of investors. The AMC can then
apply this knowledge for developing marketing strategies for all types of investors, present and potential,
and also identify significant drivers that govern an investors’ selection to MFs/Schemes.
Hence, the largest gap between investor expectations and service delivery can be bridged with competent
performance, flexible investment opportunities, reputation and fringe benefits or tangibles, if provided by
the AMC. The 21st century investors look for value added services i.e. personalized attention, tailor-made
investment packages, skills and infrastructure for understanding the needs of a common investor rather
than plain vanilla products. A key question to the marketing managers of MFs is whether they should
concentrate on fund qualities considered commonly important by investors or the dimensions that drive
satisfaction? In the words of Morgan Stanley Dean Witter4; “In the end, not all Asset Management
(Mutual Funds) Companies will survive, (but) for firms that have built a ‘ culture of excellence’ over the
years, have segmented their customers efficiently, built brand and delivered performance, the ongoing
opportunities to take market share have never been more significant” .
7. PRINCIPAL SUGGESTIONS
• Since the investors need for liquidity is found to be high, we suggest that more of the new
schemes opening for subscription be Open-ended.
• AMCs should continuously design suitable schemes to meet the triple needs of adequate returns,
safety and liquidity in a balanced proportion and develop infrastructure to reach to the investors.
They should also simplify the operational environment. AMCs should open more investor
service branches or arrange with other banks to provide over-the-counter redemption facility
across the country through their banking network.
• Mutual fund companies should segment their target customers and position their various
products based on the target segment they propose to address. The target segment can be
broadly divided into institutional segment and individual investor segment. The institutional
segment consisted of treasury departments of Corporate, Trusts etc and suitable products such as
14
Institutional Income schemes and Money Market schemes can be targeted at them. The
individual investor can be in turn divided into various segments such as Young Families with
small or no children, Middle-aged People saving for retirement and Retired People looking for
steady income. Suitable products such as Growth and Balanced schemes for young families and
Income schemes with sure and steady returns for retired people can be marketed. By proper#p#分頁標(biāo)題#e#
segmentation and by targeting the right product to the right customer, Mutual Fund companies
can hope to win the confidence of their customers and 'own' them for a lifetime.
• The mutual fund industry in India is constrained by law from offering full-fledged pension plans
on the lines of the 401 K plans, a popular MF product available in the United States. Funds like
UTI and Kothari Pioneer are some of the mutual funds offering full-fledged Pension Plans with
benefit under Section 88. While UTI offers Retirement Benefit Plan, Kothari Pioneer Mutual
Fund offers KP Pension Plan. Retirement schemes similar to 401K plan will attract a large
number of small investors who seek regular income after retirement.
• The average projected life span of an Indian after retirement (that is, after 60) is expected to go
up from 15 years to 20 years. And the number of the elderly (those over 60) is expected to
increase significantly from 6.8 per cent of the population in 1991 to 8.9 per cent in 2016 and
further to 13.3 per cent by 2026. One of the key recommendations of the expert committee of
Project OASIS (Old Age Social and Income Security) constituted by the government on pension
reforms in 1999 is the creation of a privately managed, individual choice based, voluntary
Pension system. Pension funds are likely to be a big driver for the MF industry.
• AMC/AMFI/SPONSORS should effectively convey the message that among the multitude of
investment options available, MFs are better geared to offer the balanced mix of return, safety
and liquidity to the investors. Negative perceptions about MFs require to be tackled through
appropriate investor education measures. It is suggested that AMFI may set aside a percentage
of membership fee that it collects from the AMCs and create a fund for Investor Education
Programmes. AMC/AMFI/SPONSORS should develop investor education literature specially
tailored to suit the regional needs to create/increase the awareness level of the investors.
• Employers can influence the investment decision of the employees by providing financial
education as a benefit to employees. Employers can be objective in hiring an independent
financial advisor to conduct an education programme on long-term investment strategies.
Employers have ready access to employees and the cost can be spread over many employees.
• Advisory services are becoming more critical to investors and independent financial advisors
and planners are gaining ground. The US accreditation body for Financial Planners was set up in
Delhi in the name of Association of Financial Planners (AFP) and soon professional Certified
Financial Planners (CFPs) will be available to investors to assist them in their financial planning
needs. Banks are planning to enter into advisory services in a big way. An entirely new
distribution channel can be created consisting of professional advisors who will exert substantial#p#分頁標(biāo)題#e#
influence on what products investors will buy.
• E-commerce is gradually showing signs of gaining acceptance and electronic sale of financial
products is especially gaining volumes. There is a likelihood of the volumes reaching a
significant size, thereby spawning a new distribution paradigm. Therefore AMCs should
establish friendlier and easily accessible ‘ Automated Response Systems’ . These systems should
not only effectively convey information on products and services but also efficiently redress
investor grievances.
• Funds should also induce technology that reduces the turnaround time for services like
investments, redemptions and transfers and bring them on par with banks in turnaround time.
Suggestions for Further Research:
• The MF operational environment is becoming more competitive. Hence, the impact of emerging
competition on investor behaviour/behavioural changes needs to be studied further.
15
• Developments in technology influence the behaviour of investors. Hence, the impact of
technology on financial behaviour is another potential area for close study.
• Since the industry is still struggling to win the investors’ confidence, an in-depth analysis into
investor’ s expectations from MF products, its performance, management, service and other
related areas could be done.
• A study is required to examine the trading behaviour of MF investors. Further research can be
done to identify whether MF investors chase past returns or employ a current performance
momentum to pick up their funds i.e. whether they are active or passive trend chasers.
• This study reveals that MF investors feel that currently the two major benefits, which MFs
purport to offer, namely, diversification benefits and professional management are not
satisfactorily delivered. In spite of this, MF industry is growing and we attribute this to investor
behaviour and other macroeconomic factors. Further research can be done to understand the
reasons for growing popularity on one side and the struggle to win investors’ confidence on the
other side.
8. CONCLUSIONS
THE emergence of an array of savings and investment options and the dramatic increase in the secondary
market for financial assets in the recent years in India has opened up an entirely new area of value
creation and management. An average Indian investor is a greenhorn when it comes to financial markets,
the causes may be many: the lack of opportunity, lack of conceptual understanding and the influence of a
fixed-income orientation in the Indian culture. Salaried person's savings are most often deposited in
mutual funds; the theory behind this is that by pooling together a huge aggregation of individual savings
and investing them, using the professional judgment of the fund manager, one spreads risk, takes#p#分頁標(biāo)題#e#
advantage of volume buying and scientific data analysis, expertise and so on. Therefore it is seen as the
ideal option for an individual who does not have the time, knowledge or experience to make a succession
of judgments involving his hard-earned savings. MF industry in India has a large untapped market in
urban areas besides the virgin markets in semi-urban and rural areas. This market potential can be tapped
by scrutinizing investor behaviour to identify their expectations and articulate investor's own situation
and risk preference and then apply to an investment strategy that combines the usual four: cash and
equivalents, Government-backed bonds, debt, and equity.
Presently, more and more funds are entering the industry and their survival depends on strategic
marketing choices of mutual fund companies, to survive and thrive in this highly promising industry, in
the face of such cutthroat competition. In addition, the availability of more savings instruments with
varied risk-return combination would make the investors more alert and choosy. Running a successful
MF requires complete understanding of the peculiarities of the Indian Stock Market and also the psyche
of the small investor. Under such a situation, the present exploratory study is an attempt to understand
the financial behaviour of MF investors in connection with scheme preference and selection.
Studies similar to this, if conducted on a large scale at regular intervals by organizations like
AMFI/SEBI, will help capture the changing perceptions and responses of these groups, and thus provide
early warning signals to enable implementation of timely corrective measures. It is hoped that the survey
findings of the study will have some useful managerial implications for the AMCs in their product
designing, marketing and management of the fund. Results of the study may help in making cost
effective strategic decisions and hence would be of interest to both existing and new MFs; Fund
managers; and individual investors.
In the words of Morgan Stanley Dean Witter4, "In the end, not all asset management (mutual fund)
companies will survive, [but] for firms that have built a 'culture of excellence' over the years, have
segmented their customers efficiently, built brand, and delivered performance, the ongoing
opportunities to take market share have never been more significant."
***********
16
Annex I
QUESTIONNAIRE TO PRESENT INVESTORS IN MUTUAL FUNDS
Dear Sir / Madam,
Mutual funds have opened new vistas to millions of small investors by virtually taking investment to
their very doorstep. The scientific investment approach and investor oriented benefits has made the
industry grow to $7.4 trillion by year end 2003.
I am currently engaged in a study on Investors attitude towards Mutual Funds .In this connection I
request You to read the following items carefully and answer them. The answers your give will be held#p#分頁標(biāo)題#e#
confidential and used purely for academic purpose. Please put a tick mark in the square 5
corresponding your choice. I thank you for your time.
PART A: Personal Data
1.1) Name (Optional) :
1.2) Sex : Male 5 Female 5
1.3) Age in completed years:
Below 30 5 31 – 40 5 41 – 50 5 Above 50 5
1.4) Academic Qualifications:
School Final 5 Graduate 5 Post – Graduate 5 Professional Degree5
1.5) Marital Status:
Married 5 Unmarried 5 Widow 5 Widower 5 Divorced 5
1.6) Occupation:
Professional 5 Business 5 Salaried 5 Retired 5
1.7) Annual Income in Rs:
Below Rs 1, 00, 000 5 Rs1, 00,001 – 3, 00,000 5
Rs 3, 00,001–5, 00,000 5 Above Rs 5, 00,000 5
1.8) How much do you save annually (in Rs. Approx)
Less than Rs 50,000 5 Rs 50,001 to Rs 100000 5 Above Rs 100000 5
1.9) Objectives of your savings are :
To provide for Retirement 5 For tax reduction 5
To meet contingencies 5 For children’ s education 5
For purchase of assets 5
1.10) What is your current preference of savings avenue? (Rank from 1