PERFORMANCE EVALUATION OF SELECTED OPEN ENDED MUTUAL FUNDS IN INDIA

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1 29 PERFORMANCE EVALUATION OF SELECTED OPEN ENDED MUTUAL FUNDS IN INDIA SUKHWINDER KAUR DHANDA *, DR. G.S.BATRA**, DR BIMAL ANJUM*** *Asst. Prof. cum (Research Scholar) Department of Management Studies, Baba Banda Singh Bahdaur Engineering College, Fatehgarh Sahib (Punjab) ** Professor, School of Management studies, Punjabi University Patiala (Punjab) *** Prof and HOD, Management Studies Department, RIMT-IET, Mandi Gobindgarh (Punjab) ABSTRACT Mutual Fund is a vehicle for small investors to enter into Bluechip companies. Mutual fund companies collect the savings of the investors and make a big corpus of these savings and invested in a well diversified portfolio of different companies. It is generally believed that mutual funds are able to diversify the risk. Mutual fund industry has just four decades old in India. During this short span of time it has made tremendous growth. So considering these points this paper is an attempt to study the performance evaluation of selected open ended schemes in terms of risk and return relationship. For this rate of return method, Beta, Standard Deviation, Sharpe ratio and Treynor ratio has been used.bse-30 has been used as a benchmark to study the performance of mutual funds in India. The study period has been taken from 1 st April 2009 to 31 st March 2011.The findings of the study reveal that only three schemes have performed better than benchmark. KEYWORDS: Mutual Funds, Blue Chip Companies, Diversified Portfolio, Open Ended Schemes.

2 30 INTRODUCTION Mutual funds provide a mechanism to invest in the stock market without knowing the complexities of stock market. Mutual funds provide the best option to the investors who have no knowledge of the stock market. Mutual fund is just the connecting bridge or a financial intermediary that allows a group of investors to pool their money together with a predetermined investment objective. They are responsible for investing the gathered money into specific securities (stocks or bonds). They invest their money on the behalf of investors. For this they charge only nominal fees. When you invest in a mutual fund, you are buying units or portions of the mutual fund and thus on investing becomes a shareholder or unit holder of the fund. Mutual funds provide more return with less risk. The main advantage of mutual fund is that it diversifies the risk because the pooled money is invested in diversified portfolio. Mutual funds have started in India in The first scheme was Unit Scheme In that year UTI has the monopoly over the mutual fund industry up to In 1987 government institutes were allowed to start mutual funds operations. In 1993 it has opened for private sector. The regulations on mutual funds came in the year Today there are near about 42 mutual funds companies operated in India. Moreover government is doing every effort to promote the mutual funds in India. In 1999 it has exempted the all dividend incomes in the hands of investors fully tax free. Mutual funds offer close ended and open ended schemes. Close ended schemes have some stipulated time period that is normally between 3 to 15 years. Open ended schemes are available for subscription during the all time period. These are further available in growth, income, balanced, ELSS, FMCG, ETF, gold fund and sector specific. Mutual fund industry is doing every effort to attract the investors to invest in mutual funds by offering innovative schemes. Moreover Investors have great expectations from mutual funds. So this paper is an attempt to study the performance of mutual funds in the framework of risk and return during the period 1 st April 2009 to 31 st March 2011.

3 31 REVIEW OF LITERATURE: Lots of studies have been conducted on performance evaluation of mutual funds in India. Some of the studies has presented in a chronologically order: Treynor (1965) presents a new way of viewing performance results. He attempted to rate the performance of mutual funds on a characteristics line graphically. The steeper the line, the more systematic risk or volatility a fund possesses. By incorporating various concepts, he developed a single line index, Tn, called Treynor index. The systematic risk is risk which is common to all securities of the same class in the market. His index measures the risk premium of the portfolio, where risk premium equals the difference between the return of the portfolio and the riskless rate. The risk premium is related to the amount of systematic risk assumed in the portfolio, the higher the value of Tn, the better the performance of fund. Sharpe (1966) explains in a modern portfolio theory context that the expected return on an efficient portfolio and its associated risk (unsystematic risk) are linearly related. By incorporating various concepts he developed a Sharpe index. In this paper he attempted to rate the performance on the basis of the optimal portfolio with the risky portfolio and a risk-free asset is the one with the greatest reward-to-variability.the unsystematic risk is related to particular security due to inefficient management. Moreover he has examined 34 open-end mutual funds (period ) and finds considerable variability in the Sharpe ratio, ranging from 0.78 to He provides two potential explanations for the result that the cross-sectional variation is either random or due to high fund expenses or the difference is due to management skills. Barua and Varma (1991) evaluated the performance of master share ( ) using CAPM approach from the view point of large investors, small investors and from fund management. The study had used ET Index as a proxy for market behavior. The risk adjusted performance is measured by using Sharpe, Jensen and Treynor measures. They used capital market line to study the risk return relationship of the fund from the prospective of large investors and security market line for small investors. The study concludes that the fund performed better than the market for small investors and fund management but the fund did not do well when compared to CML. Mishra, et al., (2002) measured mutual fund performance using lower partial moment. In this paper, measures of evaluating portfolio performance based on lower partial moment are developed. Risk from the lower partial moment is measured by taking into account only those states in which return is below a pre-specified

4 32 target rate like risk-free rate. Acharya and Sidana (2007) attempted to classify hundred mutual funds employing cluster analysis and using a host of criteria like the 1 year total return, 2 year annualized return, 3 year annualized return, 5 year annualized return, alpha, beta, R- squared, Sharpe s ratio, mean and standard deviation etc. The data is obtained from Value research online. They do find evidences of inconsistencies between the investment style/objective classification and the return obtained by the fund. OBJECTIVES OF THE STUDY: 1. To examine comparative performance of selected open ended schemes and BSE-30 in terms of risk and return. 2. To know whether the mutual funds are able to provide reward to variability and volatility. Research Methodology and some Basic Concepts: In this study ten growth schemes of open ended mutual funds have taken. To measure the comparative performance BSE 30 has taken as benchmark. Interest rate on fixed deposits has been taken as risk free return during the both periods. Risk free rate of return has been taken 6.75 and 8.25 for both periods simultaneously. Secondary data has been used in this study. NAV of mutual funds has been taken from the website of AMFI. Data regarding benchmark has been taken from the website of BSE. Rate of return method, Sharpe ratio and Treynor ratio has been used to analysis the data. The scope of the study has 1 st April 2009 to 31 st March The techniques of analysis: Rate of return method: R = (P1-P0+D1)/P0 Whereas P1 is the price at the end of the year P0 at the beginning And D1 is the dividends received during the year Sharpe ratio (reward to variability ratio)

5 33 S = (Rp-Rf)/σ Rp is the return from the scheme Rf is the risk free return and standard deviation measure the total risk Treynor Ratio (reward to volatility ratio) T = (Rp-Rf)/β Rp is the return from the scheme Rf is the risk free return and beta measure the systematic risk. Beta = Cov (RjRm)/ Square root of σm Limitations of the study: 1. Time is too short to conduct the study. Due to shortage of time only ten schemes has been taken for analysis. 2. Study is based on secondary data. 3. Sample size is too small. FINDINGS AND ANALYSIS: The findings and analysis of data has been presented in Table I to Table III. The analysis has based on rate of return method, SD, beta, Sharpe ratio and Treynor ratio. Rate of return method, Beta and SD has used to examine the comparative performance of mutual funds schemes and Sharpe and Treynor ratio has been used to know the reward for variability and volatility.

6 34 Table-I Year Rate of return SD Sharpe Ratio Treynor ratio Table-II Year Name of the schemes Annualized SD Beta Sharpe Treynor return Ratio Ratio HDFC Top 200 Fund

7 35 HDFC Capital Builder Fund ICICI Prudential Top Fund (Growth) Tata Pure Equity Fund LIC MF Noruma Equity Fund ING Core Equity Fund UTI opportunities Fund Reliance vision Fund Birla Sun life advantage fund Kotak select Focus fund( from ( ) We can see from table I and II in the year that HDFC capital Builder has the top performer. It has returns and SD and 0.78 beta. This scheme has given the reward for variability and volatility HDFC Top 200 Fund and Birla sun life advantage funds are on second and third position in terms of return. HDFC top 200 fund has shown better performance than Birla sun life advantage fund in terms of SD, Beta, Sharpe ratio and Treynor ratio. Birla sun life advantage fund has more risk than the benchmark.kotak select focus fund has the poorer performer in terms of risk and return. Except two schemes all other schemes has performed better than bench mark. Except Kotak select focus fund all other schemes are able to give reward for variability and volatility. In that year all schemes has fulfilled the expectations of the investors.

8 36 Year Name of the schemes Table-III Annualized return SD Beta Sharpe Ratio HDFC Top 200 Fund Treynor Ratio HDFC Capital Builder Fund ICICI Prudential Top Fund (Growth) Tata Pure Equity Fund LIC MF Noruma Equity Fund ING Core Equity Fund UTI opportunities Fund Reliance vision Fund Birla Sun life advantage fund Kotak select Focus fund( from ( ) We can see from table I and III in the year no scheme has provided more return than sensex. Only four schemes were able to provide the reward for variability and volatility. HDFC top 200 fund, HDFC capital Builder fund and UTI opportunity fund was the three top

9 37 performers. In the year Birla sun life advantage fund performed good but in it has given negative return with high risk. CONCLUSION: In the end the study concludes that in except ING core equity fund and Kotak select focus fund all even schemes performed better than BSE- Sensex. Except one scheme all were able to provide reward for variability and volatility more than the benchmark. Four schemes have more risk than sensex. In the year bench mark has outperformed than all schemes. All schemes have failed to give more reward for variability than benchmark. Only four schemes were able to give reward for volatility than benchmark. So at the end we can see that HDFC top 200 Fund, HDFC capital builder fund and UTI opportunity funds were able to fulfill the expectations of the investors in terms of risk and return. SUGGESTIONS: The mutual fund industry is still in a nascent stage in India. Presently it focus on urban areas, the rural area is still untapped. In US the assets under management of mutual funds are more than 60% of the GDP as compared to a little above 8% in India. AUM as a percentage of bank deposits is also abysmally low in India, at 25 percent, while it is 140 percent in US and 96 percent in Brazil. In India more than 95 percent of the financial savings of the individuals still go into the traditional form of investment. If the proper attention is given, then it can grow rapidly. Government should do various efforts and take various steps to promote the mutual funds in India. In nutshell there is a need to create the awareness among the people regarding the importance of mutual funds.

10 38 BIBLIOGRAPHY/REFERENCES: Acharya, Debashis. & Sidana, Gajendra. (2007), Classifying Mutual Funds in India: some results from clustering Indian Journal of Economics and Business, Vol.6, No.1, pp Barua, Samir K. & Verma, Jaynath R. (1991), Master Share: a Bonanza for Large Investors, Vikalpa, Vol.16, No.1. Jan-March, pp Chandra Parssana (2007) Corporate Financial Management Tata McGraw Publishing House. Mishra, Banikanta. & Mahmud, Rahman. (2000), Measuring Mutual Fund Performance using Lower Partial Moment, Global Business Trends, Contemporary Readings, 2001 edition. Pandey, I.M. (1979), Financial Management, Vikas Publishing House Pvt.Ltd, New Delhi. Parthasarathy, Suresh. (2007), Mutual Funds: When Risk Enters The Performance Equation, Business Line, THE HINDU, April 15. Sharpe, W. (1966), Mutual Fund Performance, The Journal of Business, Vol. 39, Issue s1, pp Treynor, J. (1965), How to Rate Management of Investment Funds, Harvard Business Review, Vol. 43, pp