An Emprical Study of Performance Evaluation of Selected Elss Mutual Fund Schemes

2012 ◽  
Vol 3 (7) ◽  
pp. 67-69
Author(s):  
J. Lilly J. Lilly ◽  
◽  
Dr. D.Anusuya Dr. D.Anusuya
Author(s):  
Ram Pratap Sinha

Performance analysis of mutual funds is usually made on the basis of return-risk framework. Traditionally, excess return (over risk-free rate) to risk ratios were used for the purpose mutual fund evaluation. Subsequently, the application of non-parametric mathematical programming techniques in the context of performance evaluation facilitated multi-criteria decision making. However,the estimates of performance on the basis of conventional programming techniques like DEA and FDH are affected by the presence of outliers in the sample observations. The present, accordingly uses more robust benchmarking techniques for evaluating the performance od sectoral mutual fund schemes based on observations for the second half of 2010. The USP of the present study is that it uses two partial frontier techniques (Order-m and Order- a) which are less susceptible to the problem of extreme data.


Author(s):  
George (Yiorgos) Allayannis ◽  
Mark R. Eaker ◽  
Alec Bocock

Fred Bocock was examining the performance of the Energy Hedge Fund and the Energy Portfolio, a hedge fund and a mutual fund respectively, which he manages. Bocock had become increasingly aware that absolute returns or relative returns (returns relative to a benchmark) may not adequately capture his performance and some measure of risk-adjusted performance was necessary. The Dynamis Energy Hedge Fund extends the discussion of performance evaluation into the hedge fund arena. (See “Zeus Asset Management,” UVA-F-1232, for an examination of performance evaluation techniques in the mutual funds arena.) More broadly, the case engages students in discussions on what hedge funds are, what investment strategies they use, and who their investors are. Since the portfolio manager of Dynamis manages both an oil sector equity mutual fund and an oil sector hedge fund, the case allows for a comparison between a hedge fund and a mutual fund. Students should consider the pros and cons of evaluating the performance of the oil stock mutual fund against a number of oil sector stock indices as well as against a number of generic indices, such as the S&P 500 Index. The use of futures, options, shorts, and leverage by hedge funds makes it a lot more difficult to measure their performance. The case comes with a spreadsheet that contains data on the energy mutual fund, the Dynamis hedge fund, and several relevant indices.


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