CHAPTER-1 INTRODUCTION 1.1 INTRODUCTION A mutual fund is a financial intermediary that pools the savings of investors for collective investment in a diversified portfolio of securities. A fund is “mutual” as all of its returns, minus its expenses, are shared by the fund’s investors. The Securities and Exchange Board of India (mutual funds) Regulations, 1996 defines a mutual fund as a fund established in the form of a trust to raise money through the sale of units to the public or a section of the public under one or more schemes for investing in securities, including money market instruments. According to the above definition, a mutual fund in india can raise resources through sale of units to the public. It can be set up in the form of a trust under the Indian Trust Act . The definition has been further extended by allowing mutual funds to diversify their activities in the following areas: Portfolio management services Management of offshore funds Providing advice to offshore funds Management of pension or provident funds Management of venture capital funds Management of money market funds Management of real estate funds A mutual fund serves as a link between the investor and the securities market by mobilising savings from the investors and investing them in the securities market to generate returns. Thus, a mutual fund is a collective savings scheme. Mutual funds play an important role in the savings of small investors and channelising the same for productive ventures in the Indian economy. 1.2 MUTUAL FUND IN INDIA Unit Trust of india was the first mutual fund set up in the year 1963. In lare 1980s, Government allowed public sector banks and institutions to set up mutual funds .In the year 1992, securities and Exchange Board of india (SEBI) Act was passed. The objectives of SEBI are to protect the interest of investors in securities to promote the development of and to
regulate the securities market. As far as mutual funds are concerned , SEBI formulates policies, regulates and supervises mutual funds to protect the interest of the investors. SEBI notified regulations for mutual funds in 1993. Thereafter, mutual funds sponsored by private sector entities were allowed to enter the capital market. The regulations were fully revised in 1996 and have been amended thereafter from time to time. SEBI has also issued guidelines through circulars to mutual funds from time to time. All mutual funds whether promoted by public sector entities including those promoted by foreign entities are governed by the same set of Regulations. There is no distinction in regulatory requirements for these mutual funds and all are subject to monitoring and inspections by SEBI. 1.2 STATEMENT OF THE PROBLEM Mutual funds pool the funds of small investor and invest it in the securities. As the investors do not know in which portfolio the fund managers will go investment, the performance such as the risk and the return associated with each fund type will only affect the investor. Here the risk associated with each type will vary, hence the return will also vary. Since the investors are investing based on the scheme category such as private or public sector funds. 1.3 SCOPE OF THE STUDY The scope of the study is to analyze the investor’s satisfaction level towards investing in mutual fund. It contains inclusion of behaviour of all segments of investors like private employee, government employee and business people and professionals regarding mutual fund investment and the factors like advertisement to influence the investors investing in mutual fund . 1.4 OBJECTIVE OF THE STUDY
To identify the preference level of investment in mutual fund.
To examine the factors influencing while investing in mutual fund.
To analyse the investor’s satisfaction with investment in mutual fund.
To study the problems faced in investment of mutual fund..
1.5 RESEARCH METHODOLOGY The process of systematically solving a research problem is set to be a research methodology. This study is designed to document explore and analyze the influence of the preference and satisfaction of the investors in mutual fund. Diagnosis of the information needs and selection of relevnt variables about which valid information is gathered, recorded and analyzed. Research comprise rectifying and defining problems formulating hypothesis of suggestion, solutions collecting, organizing and evaluating data, making decisions, and research conclusion, and at the last carefully testing the conclusion to determine whether they fit the formulating hypothesis. 1.5.1 Source of Data Primary data: The present study is based on primary data which was collected from 200 respondents using a structured questionnaire method. Secondary data: Secondary data have been gathered from various journals, magazines, books and websites. 1.5.2 Area covered and sampling techniques: The purposive technique sampling method has been used to collect the data. A sample size of 200 respondents has been collected from professionals like those who wants to invest in mutual funds and other investment option. 1.5.3 Tools and techniques used for Analysis: Percentage analysis` Descriptive statistics ANOVA t-Test Firedman Ranking
1.5.4 Period of study: The study has been conducted from December 2018 to March 2019. 1.5.5 Area of the study The study is under taken in and arround coimbatore city. 1.6 LIMITATIONS OF THE STUDY
The study area is limited to in and arround coimbatore area only.
The study is based on primary data collected from investor’s who invested in mutual fund.
The findings are entirely depends upon the willingness of the respondent. All these factors acted as limitation to the objectivity of the primary data.
1.7 CHAPTER SCHEME Chapter 1: Introduction The first chapter deals with the introduction of the study, statement of the problem, scope of the study, objective of the study, research methodology, limitations of the study and the period of the study. Chapter 2: Review of Literature The second chapter deals with the introduction of the literature reviews related to the study. Chapter 3: Overview of the study The third chapter deals with the data analysis and interpretation. Chapter 4: Analysis and interpretation The fourth chapter deals with the data analysis and interpretation. Chapter 5: Findings, Suggestions Conclusion The fifth chapter deals with the findings, suggestions and conclusion of the study.
CHAPTER-2 REVIEW OF LITERATURE
2.1 INTRODUCTION Review of related literature serves as the base for any researcher to understand his or her research problem clearly and to design the methodology by which the study
is to be
conducted. Various studies conducted earlier on the topics related to the current research problem are included in the literature. It gives an idea for the researcher to determine the research problem and to frame the objectives. It also enables the researcher for the smooth conduct of the present study. The literature review of the study on investors satisfaction level towards mutual fund includes journals, online websites, etc. These studies have been reviewed carefully and summarized in this chapter. 2.2 REVIEWS Latha. A, Deepa. P (2018) has done their study on “Investors Level of Satisfaction Towards Mutual Fund Investments with Special Reference to Tirupur District”. The objective of the study is to aim and analyse the level of satisfaction of investors towards the mutual fund investment in Tirupur District . The tools used in the study is descriptive in nature. The study concluded that the investors are most concerned with their investments and they want to earn maximum return on their investments with a minimum risk. Most of the investors have exhibited a high degree of satisfaction towards the returns they earn from mutual fund investments and the liquidity factor in mutual fund investment. Ashok Reddy.G, Raghunatha Reddy (2017) have done their study on “Satisfaction of mutual fund investors towards the services of investor forum: A Study of Kadapa district”. The objective of the study is to assess the satisfaction levels of investors towards the services rendered by investor forum. The tools used for the study are ANOVA, t-test, and mean. The study concludes that the urban investors have higher satisfaction towards investors forum comparatively to the rural investors, further it was found that there was significant difference in satisfaction levels between urban and rural investors. Ankit Goel, Rajendra K. Khatik (2017) have done their study on “Investor’s awareness and preference towards mutual funds as an investment option”. The objective of the
study was to know the Investor’s awareness level towards mutual fund investment. The research study is descriptive in nature. In this study the total of 90 respondents where collected for the purpose of analysis.The study concludes that majority of the investors are able to save between 20 to 35% out of their total earnings,balance funds and Tax relief schemes are most preferred schemes among the respondents. Nishu Gupta and Arpita Sharma (2016) have done their study on “Factors Effecting the Satisfaction Level of Mutual Funds Investors in jaipur city”.The objective of the study was to find out the satisfaction level of mutual fund investors with respect to their mutual fund companies. The statistical tools used in in the study are Descriptive Analysis method, Where the sample of 90 investors where taken through questionnaire method. The study concludes and suggests that the companies should provide quick feedback whatever the problems faced by the investors during investment and states that the problems that most investors faced are lack of conceptional understanding, and no time for problem solving. Priti Mane (2016) have done their study on “Investors perception towards mutual fund in the city of Aurangabad”. The objective of the study is to know the awareness of mutual fund in Aurangabad people and to know the preference of people for investment. The tools used for the study are chi-square test for association. In this study the total of 30 respondents where collected and only educated group is targeted. This study concludes that the awareness level of mutual fund among the investor’s are very low because of only having the partial knowledge about the mutual fund which prevent them to invest in mutual fund to avoid risk bearing factor and fear of losing money. Rajesh Kumar, Nithin Goel (2014) have done their Empirical study on “Investor’s perception towards mutual funds”. The objective of the study was the methods used for evaluating the performance of mutual funds. The statistical tools used in the study are tabulation, percentage, ranking and scoring, weighted average score, kendall’s coefficient of concordance, where the sample of 200 investors within the punjab state, for this purpose, sampling has been carried in two steps. At first stage, four districts have been selected based upon the traditional geographical division of the state like majha, malwa, doaba. At the second stage, 50 respondents has been taken from each of the above districts. The study concludes that the growth has been considered as the most important objectives while making
investment in mutual funds followed by regular income and liquidity at second and third place. Gaurav Agrawal, Mini Jain (2013) have done their study on”Investor’s preference towards mutual fund in comparison to other investment avenues”.The objective of the study is to find out the overall criterion of investors regarding investment. The tools used in the study are percentage method for analysis. In this study the total of 300 respondents where collected for small & big investors.The study concludes that more than 80% investors are aware about mutual funds, Real Estate and NSC investment avenues. Tariq Zafar. S.M, Adeel Maqbool (2013) have done their study on “A strategic study on investors preference of mutual funds in india.” The objective of the study is to measure the investors perception and preference among nine most trusted mutual funds. Tools used in their Percentage analysis and Chi - square Test, and it found that majority of the respondents 96.7%
are familiar with benifits, terms and condition of mutual fund only 3.3% of
respondents are not aware of mutual fund. The study concluded that survey for the study was done to facilitate MF companies to identify the customer’s expectations and to bring improvement in the quality of the provided service according to desired expectations. Alekhya. P (2012) have done their study on “performance evaluation of public & private sector mutual funds in india”.The objective of the study is to analyze the trends in returns of selected mutual funds. The tools used for the study are sharpe, Treynor and jenson. This paper has evaluated the performance of indian mutual fund equity scheme of three years past data from 2009- 2011.The results of performance measures suggested that most of the mutual fund schemes in the sample of 58 were able to satisfy investor’s expectations by giving excess return over expected returns based on both premium for systematic risk and total risk. Binod Kumar Singh (2012) Has done their study on “Investors attitude towards mutual fund as an investment option.” The study observed that most of respondents are still confused about the mutual funds and have not formed any attitude towards the mutual fund for investment purpose. On the other hand the other two demographic factors like age and occupation have not been found influencing the attitude of investors towards mutual funds. It has been observed that most of the respondents having lack of awareness about various function of mutual fund.
Kousalya, PR and Gurusamy, P (2012) has done their study on “Women Investors Perception towards Investments”. The objective of the study is to find the awareness level on investment. Through their study they have found that, there is no significant relationship between age of the women investors and their level of investment. They have also concluded that the educational level of women investors does not influence the level of awareness. Saini, S, Anjum, B et., al. (2011) have done their study on “Investors Awareness and Perception about Mutual Funds”. The objective of the study was to know the factors that attract the investors to invest in mutual fund. The study analyzed investor’s behaviour, opinion and perception relating to various issues like type of mutual fund scheme, liquidity, simplicity in offer documents, online trading, regular updates through SMS and stringent follow up of provisions laid by AMFI. Babitha, B (2006) have done their study on “A Study on Investment Patterns of investors in ING Vsya mutual fund at Coimbatore city”. The objective of the study was to know the satisfaction level towards investing in mutual fund. The study showed that most of the investors are investing nearly 20% of their income in ING Vysya mutual funds. The study has concluded that ING Vysya mutual funds have to concentrate more on its performance and services so as to survive in the competitive mutual fund industry. Gupta, P and Gpta, A (2004) have done their study on “Performance Evaluation of select Indian Mutual Fund scheme”.”An Empirical study”,The paper used performance evaluation measures of Sharpe, Jensen, Treynor and Fama to arrive at the finding that some funds performed better than the market because only few managers had the stock selection skills and as a result funds were exposed to large diversifiable risk. Syama Sunder (1998) has done their study on”Growth prospects of mutual funds and investor perception with special reference to kothari pioneer mutual fund”. Carried out a survey to get an insight into mutual fund operations of private institutions with reference to kothari pioneer. The survey point out that awareness about mutual fund was poor during that time in small cities like vishakapatnam.The study concluded that the agents play important role in spreading the mutual fund culture; open-end schemes image and return are the prime considerations while investing in any mutual fund.
Jambodekar (1996) conducted a study on assess “The awareness of mutual funds among investor’s”. The objective of the study was to identify the information sources influencing the buying decision and the factors influencing the choice of a particular fund. The study revels among other things that income schemes and open ended schemes are more preferred than growth schemes and close ended schemes during the prevalent conditions. Newspapers and magazines are the first source of information through which investors get to know about mutual fund schemes. Jambodekar (1996) Marketing strategies of mutual funds - current practices and furture directions, Working paper, UTI- IIMB Centre for capital markets education and research.
REFERENCE Latha.A, Deepa. P (2018) “ A Study on Investors Level of Satisfaction Towards Mutual Fund Investment with special Reference to Tirupur District”. ISSN: 2321- 9653; IC Value: 45. 98; SJ Impact Factor: 6.887, Volume 6 Issue VII, July 2018. Ashok Reddy.G, Raghunatha Reddy (2017) “Satisfaction of mutual fund investors towards the services of investor forum.” International Journal of Commerce and Management Research, ISSN; 2455- 1627, Impact Factor: RJIF 5.22, Volume 3; Issue 11; November 2017. Ankit Goel, Rajendra k. Khatik (2017) “Investor’s Awareness and Preference towards mutual funds as an investment option”. International Journal of Commerce and Management Research . ISSN: 2455-1627, Impact Factor: RJIF 5.22, Volume 3; March 2017; Page No. 61-65. Nishu Gupta and Arpita Sharma (2016) “Factors Effecting the Satisfaction Level of Mutual Funds Investors in Jaipur city”. SIBM Pune Research Journal, Vol XII, 80-84, December 2016. Priti Mane (2016) “Investors Perception towards mutual fund in the city of Aurangabad”. The SIJ Transaction on Industrial, Financial & Business Management (IFBM), Vol. 4, No. 2, February 2016. Rajesh Kumar, Nithin Goel (2014) “An Emperical Study On Investor’s Perception Towards Mutual Funds”. Internal Journal of Research in Management & Business Studies (IJRMBS 2014), Vol. 1 Issue 4 Oct-Dec. 2014. Gaurav Agrawal, Mini Jain (2013) “ Investor’s preference towards mutual fund in comparison to other investment avenues”. Journal of Indian Research (ISSN : 2321 4155) Vol. 1, No, October - December, 2013, 115 - 131. Tariq Zafar. S.M, Adeel Maqbool (2013) A Strategic Study on Investors Preference of mutual Fund in India”. ISSN 2277- 3622, Vol. 2, No 8, August (2013).
Alekhya. P (2012) “Performance evaluation of public & private sector mutual funds in india”. Asia Pacific Journal of Marketing & Management Review. Vol. 1, No 2, October 2012, ISSN 2319 - 2836 Binod Kumar Singh (2012) A Study on investors attitude towards mutual fund as an investment option, International Journal of Research in Management, Vol 2, Issue 2, pp. 61-70. Kousalya, PR and Gurusamy P (2012) Women Investors, perception towards investments, International Journal of Scientific Research, Vol. 1, issue, pp. 80-81. Saini, S, Anjun B, and Saini R (2011) “Investors Awareness and Perception about Mutual Funds”. International Journal of Multidisciplinary Research, Vol. No. 1, pp. 1429, accessed on 30, June 2012. Babitha, B (2006) A Study on Investment patterns of investors in ING Vysya mutual funds at Coimbatore city. Volume, 3 Issue 7, (2006). Gupta, P and Gupta, A (2004) “Performance Evaluation of Select Indian Mutual Fund scheme”. An Empirical Study. The ICFAI Journal of Applied Finance, December, 81-98. Syama Sundar ,P.V (1998) “Growth prospects of mutual funds and investor perception with special reference to Kothari Pioneer mutual funds”. Project Report, Sri Srinivas Vidya Parishad, Andhra University, Vishakhapatnam. Jambodekar (1996) Marketing strategies of mutual funds - current practices and furture directions, Working paper, UTI- IIMB Centre for capital markets education and research.
CHAPTER-3 PROFILE OF THE STUDY 3.1 INTRODUCTION Mutual Fund is a trust that pools the savings of a number of investors who share a common financial goal. The money thus collected is then invested in capital market instruments such as shares, debentures and other securities. The income earned through these investments and the capital appreciation realized are shared by its unit holders in proportion to the number of units owned by them. Thus a Mutual Fund is the most suitable investment for the common man as it offers an opportunity to invest in a diversified, professionally managed basket of securities at a relatively low cost. The flow chart below describes broadly the working of a mutual fund.
3.2.1 ORGANIZATION OF A MUTUAL FUND There are many entities involved and the diagram below illustrates the organizational set up of a mutual fund
3.2.2 ADVANTAGES OF MUTUAL FUNDS
Professional Management
Diversification
Convenient Administration
Return Potential
Low Costs
Liquidity
Transparency
Flexibility
Choice of schemes
Tax benefits
Well regulated
3.2.3 TYPES OF MUTUAL FUND SCHEMES
Wide variety of Mutual Fund Schemes exist to cater to the needs such as financial position, risk tolerance and return expectations etc. The table below gives an overview into the existing types of schemes in the Industry. 3.3 TERMS USED IN MUTUAL FUND 3.3.1 Net Asset Value (NAV) Net Asset Value is the market value of the assets of the scheme minus its liabilities. The per unit NAV is the net asset value of the scheme divided by the number of units outstanding on the Valuation Date. 3.3.2 Sale Price Is the price we pay when we invest in a scheme. Also called Offer Price. It may include a sales load. 3.3.3 Repurchase Price Is the price at which a close-ended scheme repurchases its units and it may include a back-end load. This is also called Bid Price.
3.3.4 Redemption Price Is the price at which open-ended schemes repurchase their units and close-ended schemes redeem their units on maturity. Such prices are NAV related. 3.3.5 Sales Load Is a charge collected by a scheme when it sells the units. Also called, ‘Front-end’ load. Schemes that do not charge a load are called ‘No Load’ schemes. 3.3.6 Repurchase or ‘Back-end’ Load Is a charge collected by a scheme when it buys back the units from the unit holders. 3.4 BENIFITS OF INVESTING IN MUTUAL FUND: An investor can invest directly in individual securities or indirectly through a financial intermediary. Globally, mutual funds have established themselves as the means of investment for retail investor. 3.4.1 Professional Management When you invest in a mutual fund, your money is managed by finance professionals. Investors who do not have the time or skill to manage their own portfolio can invest in mutual funds. By investing in mutual funds, you can gain the services of professional fund managers, which would otherwise be costly for an individual investor. 3.4.2 Diversification Mutual funds provide the benefit of diversification across different sectors and companies. Mutual funds widen investments across various industries and asset classes. Thus, by investing in a mutual fund, you can gain from the benefits of diversification and asset allocation, without investing a large amount of money that would be required to build an individual portfolio.
3.4.3 Liquidity Mutual funds are usually very liquid investments. Unless they have a pre-specified lock-in period, your money is available to you anytime you want subject to exit load, if any. Normally funds take a couple of days for returning your money to you. Since they are well integrated with the banking system, most funds can transfer the money directly to your bank account. 3.4.4 Flexibility Investors can benefit from the convenience and flexibility offered by mutual funds to invest in a wide range of schemes. The option of systematic (at regular intervals) investment and withdrawal is also offered to investors in most open-ended schemes. Depending on one’s inclinations and convenience one can invest or withdraw funds. 3.4.5 Low Transaction Cost Due to economies of scale, mutual funds pay lower transaction costs. The benefits are passed on to mutual fund investors, which may not be enjoyed by an individual who enters the market directly. 3.4.6 Transparency Funds provide investors with updated information pertaining to the markets and schemes through fact sheets; offer documents, annual reports etc. 3.4.7 Tax benefits: Mutual fund investors now enjoy income- tax benefits. Dividents received from mutual funds debt schemes are tax exempt to the overall limit of Rs. 9,000 allowed under section 80L of the Income Tax Act.
3.4.8 Stability to the stock market: Mutual funds have a large amount of funds which provide them economies of scale by which they can absorb any losses in the stock market and continue investing in the stock market. In addition, mutual funds increase liquidity in the money and capital market. 3.4.9 Well Regulated Mutual funds in India are regulated and monitored by the Securities and Exchange Board of India (SEBI), which endeavors to protect the interests of investors. All funds are registered with SEBI and complete transparency is enforced. Mutual funds are required to provide investors with standard information about their investments, in addition to other disclosures like specific investments made by the scheme and the quantity of investment in each asset class. 3.5 Risk Involved in Investing in Mutual Funds · The biggest risk of investing in a mutual fund is one of under performance. When an investor decides to invest in a particular asset class, he typically expects to get the return that the benchmark of the asset provides. · For example, if someone is investing in large-cap equity stocks, he would expect to make at least as much return (with similar risk) as a benchmark index, say Sensex or Nifty. · Mutual funds try to maximize the returns on the funds invested through them -- but all of the funds cannot succeed an outperforming each other or the benchmark. Hence, some of them under-perform the benchmark. · Similarly, the cost of investing in a mutual fund (discussed below), eats in the returns. In high return years (like the last few years, where returns have been in the high 30% in equity, 2% costs may not make a material impact: however, at more moderate or negative returns, costs can be a big inch). · The other risk with mutual funds is 'style drift.' If you invest in a large cap fund and it begins to invest in mid cap stocks, or if you invest in a long term debt fund but it starts to
invest a greater proportion in cash instruments, you might not the type of risk return reward that you have been expecting. · Change of the fund manager can also introduce an element of risk into your portfolio. There is a wide debate as to whether investing is a science or an art: most authorities concede that it is a blend of the two. If so, the artist may contribute to the success of the returns
CHAPTER-4 DATA ANALYSIS AND INTERPRETATION INTRODUCTION In this chapter, the analysis and interpretation of the study “A STUDY ON INVESTOR’S SATISFACTION LEVEL TOWARDS MUTUAL FUND” based on 200 respondents are presented. The collected data are classified and tabulated and the following statistical are as follows
Percentage Analysis
Descriptive statistics
ANOVA
t-Test
Firedman Ranking
Necessary hypothesis have been framed and tested whenever necessary.
PERCENTAGE ANALYSIS Percentage Analysis has been carried out for analysing the data collected through the questionnaire. It is used mainly for the demographic questions to find out a valid percentage. Number of respondent’s distribution shows the number of frequencies in various classes which helps to get some preliminary ideas with respect to the objectives under study. NO.OF RESPONDENTS PERCENTAGE = ---------------------------------------------------- X 100 TOTAL NO. OF RESPONDENTS
DESCRIPTIVE ANALYSIS Descriptive statistics is used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphical analysis, they form the basis of virtually every quantitative analysis of data.
ANALYSIS OF VARIANCE (ANOVA) Analysis of variance (ANOVA) is a form of statistical hypothesis testing used in the analysis of experimental data. ANOVA is used to analyze the difference between group means and their associated procedures. It is used as a test of means for two or more populations. The variance must have a dependent variable that is metric, one or more independent variables that are all categorical (non metric) also called factors.
ANALYSIS USING T-TEST T-Test is the most commonly used to evaluate the differences in means of two groups. T-test is used for judging whether there is any significant difference between the means of two samples. The t-test will indicate if the perceived differences among the two groups are significantly different.
4.1 PERCENTAGE ANALYSIS AGE The table 4.1.1 describes the age wise distribution of the respondents. TABLE 4.1.1 AGE OF THE RESPONDENTS
AGE
PERCENT NO. OF RESPONDENTS
below30years
71
35.5
30-40years
75
37.5
40-50years
34
17
above 50years
20
10
200
100
Total
Source: primary data Interpretation: The above table 4.1.1 shows that 35.5 percent of the respondents belong to the age group of Below 30 years, 37.5 percent of the respondents belong to the age group of 30 – 40 years, 17 percent of the respondents to the age group of 40 - 50 years and 10 percent of the respondents are in the age group of above 50 years Majority of the respondents (37.5 percent) are in the age group of 30 - 40 years.
4.1.2 MARITAL STATUS The table 4.1.2 describes the marital status wise distribution of the respondents. TABLE 4.1.2 MARITAL STATUS OF THE RESPONDENTS MARITAL STATUS
NO.OF RESPONDENTS
PERCENT
Married
74
37
Unmarried
126
63
Total
200
100
Source: primary data Interpretation: The above table 4.1.2 shows that 37 percent of the respondents are married and 63 percent of the respondents are unmarried Majority of the respondents (63 percent) are unmarried.
4.1.3 FAMILY TYPE The table 4.1.3 describes the Family Type wise distribution of the respondents. TABLE 4.1.3 FAMILY TYPE OF THE RESPONDENTS Famiy Type
NO. OF RESPONDENTS
PERCENT
Nuclear
90
45.0
Joint
110
55.0
Total
200
100.0
Source: primary data Interpretation: The above table 4.1.3 shows that 45 percent of the respondents from Nuclear Family and 55 percent of the respondents From Joint Family. Majority of the respondents (55 percent) are from joint.
4.1.4 GENDER The table 4.1.4 describes the gender wise distribution of the respondents. TABLE 4.1.4 GENDER OF THE RESPONDENTS
Source: primary data
GENDER
NO. OF RESPONDENTS
PERCENT
117
58.5
83
41.5
200
100
Male
Female
Total Interpretation: From the table 4.1.4, it is inferred that 58.5 percent of the respondents are male and 41.5 Percent of the respondents are female. Majority of the respondents (58.5 percent) are male.
4.1.5 OCCUPATION STATUS The table 4.1.5 describes the marital status wise distribution of the respondents.
TABLE 4.1.5 OCCUPATION STATUS OF THE RESPONDENTS
MARITAL STATUS
NO.OF RESPONDENTS
PERCENT
Private Job
102
51.0
Govt Job
63
31.5
Business
35
17.5
Total
200
100.0
Source: primary data Interpretation: The above table 4.1.5 shows that 51 percent of the respondents belongs to Private job, 31.5 percent of the respondents belongs to Govt Job and 17.5 percent of the respondents belongs to Business. Majority of the respondents (51 percent) are Private job people.
4.1.6 FAMILY INCOME PER MONTH The table 4.1.6 describes the family income per month wise distribution of the respondents.
TABLE 4.1.6 FAMILY INCOME OF THE RESPONDENTS FAMILY INCOME below rs,50,000 rs.50,000-rs.1,00,000 rs.1,00,000-rs.1,50,000 Above rs.1,50,000 Total
NO. OF RESPONDENTS
PERCENT
49
24.5
40
20.0
39
19.5
72
36.0
200
100.0
Source: primary data Interpretation: It is evident from the above table 4.1.6 shows that, 24.5 percent of the respondents earn a family monthly income less than Rs.50,000 followed by 20 percent of the respondents who earn a family monthly income between Rs.50,000 to Rs.1,00,000 and 19.5 percent of the respondents earn a family monthly income between Rs.1,00,000 to Rs.1,50,000. And the remaining 36 percent of the respondents earn a family monthly income of more than Rs.1,50,000. Majority of the respondents (36 percent) earn a family monthly income of Above 1,50,000.
4.1.7 INVESTMENT OPTIONS OF THE RESPONDENTS The table 4.1.7 describes the investment options of the respondents.
TABLE 4.1.7 INVESTMENT OPTIONS OF THE RESPONDENTS
STATUS returns
NO. OF RESPONDENTS
PERCENT
103
51.5
Minimum Investment amount
32
16.0
locking period
30
15.0
risk
19
9.5
type of investment option
16
8.0
200
100.0
Total Source: primary data Interpretation:
It is evident from the above table 4.1.7 shows that, 51.5 percent of the respondents are looking for returns, 16 percent of the respondents are looking for minimum investment amount and 15 percent of the respondents are looking for locking period and 9.5 percent of the respondents are looking for risk and 8 percent of the respondents are looking for type of investment option. Most of the respondents (51.5 percent) are prefer returns.
4.1.8 RESPONDENTS SOURCES OF KNOWLEDGE ABOUT MUTUAL FUND The table 4.1.8 describes the respondents sources of knowledge about mutual fund.
TABLE 4.1.8 RESPONDENTS SOURCES OF KNOWLEDGE ABOUT MUTUAL FUND NATURE Television Internet Newspaper/Journals Friends and Relatives Sales representative Total
NO. OF RESPONDENTS
PERCENT
37
18.5
69
34.5
43
21.5
34
17.0
17
8.5
200
100.0
Source: primary data
Interpretation: It is evident from the above table 4.1.8 shows that 18.5 percent of the respondents gained knowledge from Television, 34.5 percent of the respondents gained knowledge from Internet and 21.5 percent of the respondents gained knowledge from Newspaper/Journals 17 percent of the respondents gained knowledge from Friends and Relatives 8.5 percent of the respondents gained knowledge from sales representative . Majority of the respondents (34.5 percent) live in a nuclear family.
4.1.9 PERIOD PREFER TO INVEST IN MUTUAL FUND The table 4.1.9 describes the source of awareness of the respondents.
TABLE 4.1.9 PERIOD PREFER TO INVEST IN MUTUAL FUND PERIOD OF INVESTMENT Less than 1year
NO. OF RESPONDENTS
PERCENT
36
18.0
1-3year
90
45.0
3-5year
74
37.0
200
100.0
Total
Source: primary data Interpretation: The above table 4.1.9 shows that 18 percent of the respondents are prefer less than 1 year, 45 percent of the respondents are prefer 1 – 3 years and 37 percent of the respondents are prefer 3 – 5 years. Majority of the respondents (45 percent) are prefer 1 – 3 years.
4.1.10 TYPES OF INVESTMENT SCHEMES PREFER TO INVEST IN MUTUAL FUND
The table 4.1.10 describes the nature of the family wise distribution of the respondents. TABLE 4.1.10 RESPONDENTS SOURCES OF KNOWLEDGE ABOUT MUTUAL FUND NATURE
NO. OF RESPONDENTS
Equity Debit Hybrid Gilt fund Growth schemes Income schemes Balanced schemes Liquid schemes Total
PERCENT
35
17.5
18
9.0
53
26.5
19
9.5
22
11.0
17
8.5
22
11.0
14
7.0
200
100.0
Source: primary data Interpretation: The above table 4.1.10 shows that 17.5 percent of the respondents are prefer Equity, 9 percent of the respondents are prefer debit,26.5 percent of the respondents are prefer hybrid, 9.5 percent of the respondents are prefer gilt fund 11 percent of the respondents are prefer growth schemes, 8.5 percent of the respondents are prefer income schemes 11 percent of the respondents are prefer balanced scheme, 7 percent of the respondents are prefer liquid scheme. Majority of the respondents (26.5 percent) are prefer hybrid.
4.2. TO IDENTIFY THE PREFRENCE LEVEL OF INVESTMENT IN MUTUAL FUND AMONG THE AGE GROUP TABLE 4.2.1
DESCRIPTIVE ANALYSIS AGE IN YEARS
N
MEAN
STD. DEVIATION
below30years
71
2.3459
.20960
30-40years
75
2.3644
.21579
40-50years
34
2.3170
.21734
above 50years
20
2.2889
.22628
Total
200
2.3422
.21466
Source : Primary Data The highest mean value 2.3644 is found among the age group between 30 – 40 years the respondents. Hence it is inferred that those respondents have high opinion towards the mutual fund investment when compared to other age group of the respondents. ANOVA TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL AMONG THE AGE GROUP TABLE 4.2.2 ANOVA Variable
AGE
Sum of
Group
Squares
df
Between Groups
.117
3
Within Groups
9.053
196
9.169
199
Total
mean square
f
sig.
Inference
.841
.473
NS
.039 .046
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .473which is greater than the 5% level of significance. Since it is inferred that the opinion towards mutual fund is no significantly differ among the age group of the respondents. Hence, the null hypothesis is accepted. 4.3 TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND BETWEEN THE MONTHLY INCOME OF THE RESPONDENTS
TABLE 4.3.1 DESCRIPTIVE ANALYSIS MONTHLY INCOME IN N RUPEES below rs,50,000 49 Rs.50,000-rs.1,00,000 40 Rs.1,00,000-Rs.1,50,000 39 Above rs.1,50,000 72 Total 200
Mean
Std. Deviation
2.3656 2.3312 2.3355 2.2350 2.3058
.18774 .20280 .19354 .20090 .20277
Source : Primary Data The highest mean value 2.3656 is found among the family monthly income of below 50,000 of the respondents. Hence it is inferred that income of below 50,000 have high opinion towards mutual funds when compared to other family monthly income group of the respondents. ANOVA TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND BETWEEN THE MONTHLY INCOME OF THE RESPONDENTS TABLE 4.3.2 Variable
Monthly Income
Sum of
Groups
Squares
df
Between Groups
.126
3
Within Groups
9.043
196
9.169
199
Total
Mean
F
Sig.
Inference
.912
.436
NS
Square .042 .046
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is
.436
which is less than the 5% level of
significance. Since it is inferred that the opinion towards mutual fund is does no differ significantly among the family monthly income of the respondents. Hence, the null hypothesis is Rejected. 4.4 TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS OF INVESTMENT OPTIONS
TABLE 4.4.1 DESCRIPTIVE ANALYSIS
N
INVESMENT OPTIONS returns
Mean
Std. Deviation
103
2.2999
.22049
Minimum investment amount
32
2.4306
.16396
locking period
30
2.3667
.19388
risk
19
2.3684
.25134
type of investment option
16
2.3611
.21276
200
2.3422
.21466
Total
Source :Primary Data The highest mean value 2.4306 is found among the preference of risk . Hence it is inferred risk have high opinion towards mutual funds when compared to other option group of the respondents. ANOVA TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS OF INVESTMENT OPTIONS TABLE 4.4.2 ANOVA Variable
INVESTMENT OPTION
Groups
Sum of Squares
Mean
df
Square
Between Groups
.026
4
Within Groups
9.143
195
9.169
199
Total
F
Sig.
Inference
2.639
.035
NS
.118 .045
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .035 which is greater than the 5% level of significance. Since it is inferred that the opinion towards risk significantly among the other factors of the respondents.
is does no differ
Hence, the null hypothesis is accepted. 4.5 TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND OF THE SOURCE OF KNOWLEDGE OF INVESTOR TABLE 4.5.1 DESCRIPTIVE ANALYSIS SOURCE OF KNOWLEDGE
N
Mean
Std. Deviation
Television
37
2.3423
.21971
Internet
69
2.3366
.23336
43
2.3411
.21331
Friends and Relatives
34
2.3366
.18244
Sales representative
17
2.3791
.20809
200
2.3422
.21466
Newspaper/Journals
Total
Source : Primary Data The highest mean value 2.3791 is found sales representative among the awareness of the mutual funds. . Hence it is inferred television have high opinion towards the awareness when compared to other option group of the respondents.
ANOVA TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND OF THE SOURCE OF KNOWLEDGE OF INVESTOR TABLE 4.5.2 ANOVA
Variable
SOURCE OF KNOWLEDGE
Sum of
Groups
Squares
Mean
df
Square
Between Groups
.471
4
Within Groups
8.698
195
9.169
199
Total
F
Sig.
Inference
.141
.967
NS
.007 .047
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .967 which is greater than the 5% level of significance. Since it is inferred that the opinion towards awareness is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted. 4.6 TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND TOWARDS INVESTMENT SCHEMES TABLE 4.6.1 DESCRIPTIVE ANALYSIS
INVESTMENT SCHEMES
N
Mean
Std. Deviation
Equity
35
2.3714
.24245
Debit
18
2.3704
.15713
Hybrid
53
2.2998
.20393
Gilt fund
19
2.2924
.28739
Growth schemes
22
2.3535
.18026
Income schemes
17
2.4118
.19549
Balanced schemes
22
2.3939
.20781
Liquid schemes
14
2.2778
.19852
200
2.3422
.21466
Total Source : Primary Data
The highest mean value 2.4118 is found among the Income scheme of the mutual funds. . Hence it is inferred equity have high opinion towards the which the respondents are seeing for when compared to other option group of the respondents. ANOVA TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND TOWARDS INVESTMENT SCHEMES TABLE 4.6.2 DESCRIPTIVE ANALYSIS
Variable
INVESTMENT SCHEMES
Groups
Sum of Squares
Mean
df
Square
Between Groups
.389
7
Within Groups
8.781
192
9.169
199
Total
F
Sig.
Inference
1.214
.297
NS
.056 .046
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .297 which is greater than the 5% level of significance. Since it is inferred that the opinion towards equity is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted.
4.7 TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS AMONG THE AGE GROUP TABLE 4.7.1 DESCRIPTIVE ANALYSIS
AGE IN YEARS
N
MINIMUM
MAXIMUM
below30years 30-40years 40-50years above 50years Total
71 75 34 20 200
1 1 1 1 4
3 3 3 3 12
MEAN
STD. DEVIATION
2.3052 2.2867 2.3064 2.3792 2.3058
.19311 .21101 .19648 .21370 .20277
Source :Primary Data The highest mean value 2.3792 is found among the age group between above 50 years the respondents. Hence it is inferred that those respondents have high opinion towards the mutual fund investment when compared to other age group of the respondents. ANOVA TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS AMONG THE AGE GROUP TABLE 4.7.2
Variable
AGE
ANOVA Sum of df Squares
Group
mean square
Between Groups
.135
3
Within Groups
8.047
196
8.182
199
Total
f
sig.
Inference
.045 .041
1.097
.351
NS
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .351which is greater than the 5% level ofsignificance. Since it is inferred that the opinion towards mutual fund is no significantly differ among the age group of the respondents. Hence, the null hypothesis is accepted. 4.8 TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS MONTHLY INCOME TABLE 4.8.1 DESCRIPTIVE ANALYSIS
AGE IN YEARS
N
MEAN
STD.
MINIMUM
MAXIMUM 3 3 3
2.3656 2.3312
.18774 .20280
2.3355
.19354
3 12
2.2350 2.3058
.20090 .20277
below rs,50,000 rs.50,000-rs.1,00,000 rs.1,00,000-rs.1,50,000
39
1 1 1
Above rs.1,50,000 Total
72 200
1 4
49 40
DEVIATION
Source : Primary Data The highest mean value 2.3656 is found among the family monthly income of below 50,000 of the respondents. Hence it is inferred that income of below 50,000 have high opinion towards mutual funds when compared to other family monthly income group of the respondents. ANOVA TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS MONTHLY INCOME TABLE 4.8.2
Variable
Monthly Income
ANOVA Sum of
Groups
Squares
df
Between Groups
.597
3
Within Groups
7.585
196
8.182
199
Total
Mean Square
F
Sig.
Inference
5.143
.002
NS
.199 .039
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is
.002
which is less than the 5% level of
significance. Since it is inferred that the opinion towards mutual fund is does no differ significantly among the family monthly income of the respondents. Hence, the null hypothesis is Rejected. 4.9 TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS INVESTORS INVESTMENT OPTION
TABLE 4.9.1 DESCRIPTIVE ANALYSIS
INVESMENT
N
OPTIONS returns
MINIMUM
MAXIMUM
1
3
1
3
30
1
19
103
Minimum investment amount locking period
32
risk type of investment option Total
16 200
Std.
Mean
Deviation
2.2824
.21076
2.3698
.13543
3
2.2917
.19908
1
3
2.3509
.21798
1
3
2.3021
.23741
5
15
2.3058
.20277
Source : Computed The highest mean value 2.3509 is found among the preference of risk . Hence it is inferred risk have high opinion towards mutual funds when compared to other option group of the respondents.
ANOVA TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS INVESTORS INVESTMENT OPTION TABLE 4.9.1
Variable
Groups
INVESTMENT
Between Groups
ANOVA Sum of Squares .232
Mean
df
Square 4
F
.058 1.425
Sig.
Inference
.227
NS
OPTION
Within Groups Total
7.950
195
8.182
199
.041
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .227 which is greater than the 5% level of significance. Since it is inferred that the opinion towards risk
is does no differ
significantly among the other factors of the respondents. Hence, the null hypothesis is accepted. 4.10.1 TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS SOURCE OF KNOWLEDGE TABLE 4.10.1 DESCRIPTIVE ANALYSIS
SOURCE OF KNOWLEDGE
N
MINIMUM
MAXIMUM
Mean
Std. Deviation
Television
37
1
3
2.3694
.20837
Internet
69
1
3
2.3309
.19279
1
3
2.2849
.21611
1
3
2.2426
.19285
1
3
2.2451
.17547
5
15
2.3058
.20277
Newspaper/Journals Friends and Relatives Sales representative Total
43 34 17 200
Source : Primary Data The highest mean value 2.3694 is found among the awareness of the mutual funds. . Hence it is inferred television have high opinion towards the awreness when compared to other option group of the respondents. ANOVA TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS SOURCE OF KNOWLEDGE
TABLE 4.10.2 ANOVA
Variable
SOURCE OF KNOWLEDGE
Sum of
Groups
Squares
Mean
df
Square
Between Groups
.410
4
Within Groups
7.772
195
8.182
199
Total
F
Sig.
Inference
2.572
.039
NS
.103 .040
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .039 which is greater than the 5% level of significance. Since it is inferred that the opinion towards awareness is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted.
4.11 TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS INVESTMENT SCHEMES TABLE 4.11.1 DESCRIPTIVE ANALYSIS
INVESTMENT SCHEMES
N
MINIMUM
MAXIMUM
Mean
Std. Deviation
Equity
35
1
3
2.3714
.24245
Debit
18
1
3
2.3704
.15713
Hybrid
53
1
3
2.2998
.20393
Gilt fund
19
1
3
2.2924
.28739
Growth schemes
22
1
3
2.3535
.18026
Income schemes
17
1
3
2.4118
.19549
1
3
2.3939
.20781
14
1
3
2.2778
.19852
200
8
24
2.3422
.21466
Balanced schemes Liquid schemes
22
Total Source : Primary Data
The highest mean value 2.3286 is found among the equity of the mutual funds. . Hence it is inferred equity have high opinion towards the which the respondents are seeing for when compared to other option group of the respondents.
ANOVA TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUNDS OF THE RESPONDENTS INVESTMENT SCHEMES TABLE 4.11.2
Variable
Groups
INVESTMENT
Between Groups
SCHEMES
Within Groups
ANOVA Sum of Squares
Mean
df
Square
.272
7
.039
7.910
192
.041
F
Sig.
Inference
.944
.474
NS
Total
8.182
199
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .474 which is greater than the 5% level of significance. Since it is inferred that the opinion towards equity is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted. 4.12 TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND AMONG THE AGE GROUP TABLE 4.12.1 DESCRIPTIVE ANALYSIS
AGE IN
STD.
N
MINIMUM
MAXIMUM
below30years
71
1
3
2.2984
.19600
30-40years
75
1
3
2.3015
.21411
40-50years
34
1
3
2.3290
.15714
above 50years
20
1
3
2.2594
.18281
Total
200
4
12
2.3009
.19524
YEARS
MEAN
DEVIATION
Source: Primary Data The highest mean value 2.3290 is found among the age group between 40 – 50 years the respondents. Hence it is inferred that those respondents have high opinion towards the mutual fund investment when compared to other age group of the respondents. ANOVA TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND AMONG THE AGE GROUP TABLE 4.12.2
Variable
Group
ANOVA Sum of df
mean
f
sig.
Inference
Squares
AGE
square
Between Groups
.062
3
Within Groups
7.485
196
7.547
199
Total
.021 .038
.537
.657
NS
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .657 which is greater than the 5% level ofsignificance. Since it is inferred that the opinion towards mutual fund is no significantly differ among the age group of the respondents. Hence, the null hypothesis is accepted.
4.13 TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND AMONG THE MONTHLY INCOME OF THE INVESTORS TABLE 4.13.1 DESCRIPTIVE ANALYSIS
AGE IN YEARS
N
MINIMUM
MAXIMUM
MEAN
STD. DEVIATION
below Rs,50,000 Rs.50,000-Rs.1,00,000 Rs.1,00,000Rs.1,50,000 Above Rs.1,50,000 Total
49 40 39 72 200
1 1 1
3 3 3
2.3648 2.3500
.20545 .19447
2.2714
.21419
1 4
3 12
2.2457 2.3009
.15920 .19524
Source : Primary Data The highest mean value 2.3648 is found among the family monthly income of below 50,000 of the respondents. Hence it is inferred that income of below 50,000 have high opinion towards mutual funds when compared to other family monthly income group of the respondents. ANOVA
TO
ANALYSE
THE
INVESTOR’S
SATISFACTION
LEVEL
OF
INVESTMENT IN MUTUAL FUND AMONG THE MONTHLY INCOME OF THE INVESTORS TABLE 4.13.2
Variable
Monthly Income
ANOVA Sum of
Groups
Squares
df
Between Groups
.549
3
Within Groups
6.998
196
7.547
199
Total
Mean Square
F
Sig.
Inference
5.102
.002
NS
.183 .036
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is
.002
which is less than the 5% level of
significance. Since it is inferred that the opinion towards mutual fund is does no differ significantly among the family monthly income of the respondents. Hence, the null hypothesis is Rejected. 4.14 TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS INVESTMENT OPTION
TABLE 4.14.1 DESCRIPTIVE ANALYSIS
INVESMENT
N
OPTIONS returns
MINIMUM
MAXIMUM
1
3
1
3
30
1
19
103
Minimum investment amount locking period
32
risk type of investment option Total
16 200
Std.
Mean
Deviation
2.2718
.21575
2.3828
.15453
3
2.3042
.15461
1
3
2.3618
.16348
1
3
2.2417
.18124
5
15
2.3009
.19524
Source : Primary Data The highest mean value 2.3828 is found among the preference of risk . Hence it is inferred risk have high opinion towards mutual funds when compared to other option group of the respondents.
ANOVA TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS INVESTMENT OPTION TABLE 4.14.2
Variable
Groups
INVESTMENT
Between Groups
OPTION
Within Groups
ANOVA Sum of df Squares
Mean Square
.425
4
.106
7.122
195
.037
F
Sig.
Inference
2.895
.023
NS
Total
7.547
199
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .023 which is greater than the 5% level of significance. Since it is inferred that the opinion towards risk is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted. 4.15.1 TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS OF SOURCE OF KNOWLEDGE TABLE 4.15.1 DESCRIPTIVE ANALYSIS
SOURCE OF KNOWLEDGE Television Internet Newspaper/Journals Friends and Relatives Sales representative Total
N 37 69 43 34 17 200
MINIMUM 1 1 1 1 1 5
MAXIMUM 3 3 3 3 3 15
Mean 2.3530 2.2754 2.2976 2.2904 2.3199 2.3009
Std. Deviation .20792 .21499 .16438 .19025 .15607 .19524
Source :Primary Data The highest mean value 2.3530 is found among the awareness of the mutual funds. . Hence it is inferred television have high opinion towards the awareness when compared to other option group of the respondents. ANOVA TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS OF SOURCE OF KNOWLEDGE TABLE 4.15.2
Variable
Groups
ANOVA Sum of
df
Mean
F
Sig.
Inference
Squares SOURCE OF KNOWLEDGE
Square
Between Groups
.156
4
Within Groups
7.391
195
7.547
199
Total
.039 .038
1.023
.397
NS
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .397 which is greater than the 5% level of significance. Since it is inferred that the opinion towards awareness is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted.
4.16 TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS INVESTMENT SCHEMES TABLE 4.16.1 DESCRIPTIVE ANALYSIS
INVESTMENT SCHEMES
N
MINIMUM
MAXIMUM
Mean
Std. Deviation
Equity
35
1
3
2.3464
.21985
Debit
18
1
3
2.3194
.21425
Hybrid
53
1
3
2.2877
.19815
Gilt fund
19
1
3
2.2961
.17658
Growth schemes
22
1
3
2.2857
.15382
Income schemes
17
1
3
2.3125
.21424
1
3
2.2869
.16441
14
1
3
2.2500
.21651
200
8
24
2.3009
.19524
Balanced schemes Liquid schemes
22
Total Source : Primary Data
The highest mean value 2.3194 is found among the equity of the mutual funds. . Hence it is inferred equity have high opinion towards the which the respondents are seeing for when compared to other option group of the respondents. ANOVA TO ANALYSE THE INVESTOR’S SATISFACTION LEVEL OF INVESTMENT IN MUTUAL FUND OF THE RESPONDENTS INVESTMENT SCHEMES TABLE 4.16.2
Variable
INVESTMENT SCHEMES
Groups
ANOVA Sum of df Squares
Mean Square
Between Groups
.136
7
Within Groups
7.411
192
7.547
199
Total
F
Sig.
Inference
.501
.833
NS
.019 .039
NS- Not significant at 5% level of significant The ANOVA result shows that the significant value is .833 which is greater than the 5% level of significance. Since it is inferred that the opinion towards equity is does no differ significantly among the other factors of the respondents. Hence, the null hypothesis is accepted. 4.3 T-TEST ANALYSIS TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL
4.3.1 T- TEST TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND AMONG MARITAL STATUS TABLE 4.3.1 T-TEST OF MARITAL STATUS Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Marital status
.069
.006
198
NS
T-Test is applied to find out the difference between the marital status and preference level of investment in mutual fund. The sig. Value .069 is greater than .006 value. Hence there is no significant difference between the marital status and the preference of the investors. Hence the hypothesis is accepted.
4.3.2 T-TEST TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL AMONG FAMILY TYPE TABLE 4.3.2 T-TEST OF FAMILY TYPE Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Family Type
.352
-.235
198
NS
T-Test is applied to find out the difference between the Family type and preference level of investment in mutual fund. The sig. Value .352 is greater than -.235 value. Hence there is no significant difference between the family type and the preference of the investors. Hence the hypothesis is accepted.
4.3.3 T-TEST TO IDENTIFY THE PREFERENCE LEVEL OF INVESTMENT IN MUTUAL FUND BETWEEN GENDER TABLE 4.3.3
Variable
T-TEST BETWEEM GENDER P VALUE T VALUE DEGREE OF
INFERENCE
FREEDOM Gender
.298
.418
198
S
T-Test is applied to find out the difference between the gender and preference level of investment in mutual fund. The sig. Value.298 islesser than .418 value. Hence there is significant difference between the gender and the preference of the investors. Hence the hypothesis is not accepted.
4.4 T-TEST ANALYSIS TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUND 4.4.1 T-TEST ANALYSIS TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUND AMONG MARITAL STATUS OF THE RESPONDENTS TABLE 4.4.1
T-TEST OF MARITAL STATUS Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Marital Status
.691
-2.223
198
NS
T-Test is applied to find out the difference between the marital status and factors influencing while investing in mutual fund. The sig. Value.691 is greater than -2.223 value. Hence there is no significant difference between the marital status and factors influencing while investing in mutual fund. Hence the hypothesis is accepted. 4.4.2 T-TEST ANALYSIS TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUND BETWEEN THE FAMILY TYPE OF THE RESPONDENTS TABLE 4.4.2 T-TEST OF FAMILY TYPE Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Family type
.016
1.034
198
S
T-Test is applied to find out the difference between the family type and factors influencing while investing in mutual fund. The .016 is lesser than 1.034 value. Hence there is significant difference between the marital status and factors influencing while investing in mutual fund. Hence the hypothesis is accepted. 4.4.3T-TEST ANALYSIS TO EXAMINE THE FACTORS INFLUENCING WHILE INVESTING IN MUTUAL FUND AMONG THE GENDER OF THE RESPONDENTS
T-TEST ANALYSIS TO THE INVESTORS SATISFACTION LEVEL WITH INVESTMENT IN MUTUAL FUND BETWEEN FAMILY TYPE OF THE RESPONDENTS
T-Test is applied to find out the difference between the gender and factors influencing while investing in mutual fund. The sig. Value .998 is greater than -1,442. Hence there is no significant difference between the gender and factors influencing while investing in mutual fund. Hence the hypothesis is not accepted. 4.5. T-TEST TO ANALYSE THE INVESTOR’S SATISFACTION LEVELWITH INVESTMENT IN MUTUAL FUND 4.5.1 T-TEST ANALYSIS TO THE INVESTORS SATISFACTION LEVEL WITH INVESTMENT IN MUTUAL FUND BETWEEN MARITAL STATUS OF THE RESPONDENTS TABLE 4.5.1 T-TEST OF MARITAL STATUS
Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Marital status
.116
-.105
197
NS
T-Test is applied to find out the difference between the marital status and investors satisfaction level with investment in mutual fund. The sig. Value.116 is greater than .105value. Hence there is no significant difference between the marital status and satisfaction level of investors investing in mutual fund. Hence the hypothesis is not accepted.
4.5.2 T-TEST ANALYSIS TO THE INVESTORS SATISFACTION LEVEL WITH INVESTMENT IN MUTUAL FUND BETWEEN FAMILY TYPE OF THE RESPONDENTS TABLE 4.5.2 T-TEST OF FAMILY TYPE Variable
P VALUE
T VALUE
DEGREE OF
INFERENCE
FREEDOM Family type
.606
2.571
197
S
T-Test is applied to find out the difference between the family type and satisfaction level with investment in mutual fund. The sig.value .606 is lesser than 2.571. Hence there is significant difference between the family type and satisfaction level of investors investing in mutual fund. Hence the hypothesis is accepted. 4.5.3 T-TEST ANALYSIS TO THE INVESTORS SATISFACTION LEVEL WITH INVESTMENT IN MUTUAL FUND BETWEEN GENDER OF THE RESPONDENTS TABLE 4.5.3
Variable
T-TEST BETWEEM GENDER P VALUE T VALUE DEGREE OF
INFERENCE
FREEDOM Gender
.020
-1.218
197
NS
T-Test is applied to find out the difference between the gender and satisfaction level with investment in mutual fund. The sig.value .020 is greater than -1.218 value. Hence there is no significant difference between the gender and satisfaction level of investors investing in mutual fund. Hence the hypothesis is accepted.
4.6 TO IDENTIFY THE PROBLEMS FACED IN INVESTMENT OF MUTUAL FUNDS “Ranking” refers to the data transformation in which numerical or ordinal values are replaced
by their rank when data are sorted. Ranks are assigned to the values in ascending order (in some other cases, descending ranks are used). Ranks are related to the indexed list of order statistics, which consist of the original data set rearranged into ascending order. PROBLEM
MEAN RANK
RANK
Too much choices
3.92
1
Lack of timely information
4.28
3
Lack of unbaised opinion
4.28
3
Lack of information in advertisements
4.22
2
Lack of inititatives by the industry
4.66
5
No clear data
4.80
7
Insufficient agent and brokers
5.08
8
Risk factor
4.78
6
Test Statisticsa
N
200
Chi-Square df
34.672 7
Asymp. Sig.
.000
From the above table, it is clearly shown that the Insufficient agent and brokers has the highest mean value (5.08) is ranked higher by the respondents, No clear data mean value (4.80) is ranked the second highest value and Too Much Choice mean value (3.92) is ranked the least by the respondents. The ranking as per the above table is valid as the chi square table values (34.672, p<0.000) are statistically significant. It is clear that most of the mutual fund risk are caused due to Insufficient agent and brokers so it is better to increase the agent and brokers which is the result of the analysis done above.