Robust Benchmarking of Indian Mutual Funds-A Partial Frontier Approach

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Multi Criteria Decision Making ◽  
Risk Framework ◽  
Programming Techniques ◽  
Risk Free Rate ◽  
Risk Ratios ◽  
Free Rate

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.

scholarly journals Analisis Kinerja 14 Reksa Dana Saham Terbaik Periode 2010

2011 ◽  
Vol 2 (1) ◽  
pp. 216
Author(s):  
Yen Sun
Keyword(s):  
Performance Evaluation ◽  
Mutual Funds ◽  
Capital Market ◽  
Mutual Fund ◽  
Investment Decision ◽  
Investment Activity ◽  
Methods Of Evaluation ◽  
One Year ◽  
Risk Free Rate ◽  
Free Rate

Capital Market is a significant indicator of an economy for a country. However, in Indonesia many people are not familiar yet with the investment activity in capital market. The writer is then interested to study the performance of the best (15) mutual fund (shares) 2010 version of Investor Magazine for the next period investment decision in 2011. The research will be focused on several stages. First, it will compute the return for 14 mutual funds, market return and risk-free rate for one year period. Then, the performance will be evaluated using Sharpe, Treynor to find which mutual fund outperform the market. Also, each method will result rank of the best mutual fund. Furthermore, there is one more method will be used in performance evaluation, Jensen. The result of this study is there are two mutual funds that can be recommended for investment in 2011, they are Panin Dana Maksima and Panin Dana Prima. They are recommended because the two mutual funds showed the best performance for those three methods of evaluation and they can maintain their performance for more than one period. 

scholarly journals A multi-criteria decision-making approach to performance evaluation of mutual funds: A case study in Serbia

2018 ◽  
Vol 28 (3) ◽  
pp. 385-414 ◽  
Author(s):  
Milena Jaksic ◽  
Predrag Mimovic ◽  
Miljan Lekovic
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Mutual Funds ◽  
Complex Problem ◽  
Multi Criteria Decision Making ◽  
Absolute Efficiency ◽  
Portfolio Managers ◽  
The Republic ◽  
Traditional Approaches

In this paper we evaluate the performance of nine mutual funds in the Republic of Serbia in the period 2011-2013 by integrating traditional approaches for measuring absolute efficiency and the selected multi-criteria decision-making methods for measuring relative efficiency. The aim of our research is to test selection abilities of Serbian portfolio managers. Performance evaluation of mutual funds, being by its nature a complex problem of multi-criteria decision-making, must be solved by the methods that have, at least, the same level of complexity. Research results indicate that mutual funds have inferior performance, which on the other hand, confirms that the national portfolio managers lack selection abilities.

scholarly journals ANALISIS KINERJA REKSADANA SAHAM

2009 ◽  
Vol 6 (2) ◽  
Author(s):  
Hermeindito Kaaro
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Fund Performance ◽  
Mutual Fund Performance ◽  
Risk And Return ◽  
Risky Assets ◽  
Equity Mutual Funds ◽  
Risk Free Rate ◽  
Free Rate ◽  
Lack Of Knowledge

The issue of Indonesian mutual fund crisis in 2005 has not been resolved satisfactorily. Many investors may reluctant to invest in mutual fund market due to the lack of knowledge about the risk and return. Most mutual fund investors are quasi-investors who shift their assets class from less risky asset to risky assets. Hence, this study attempts to resolve the problem, especially in evaluating and analyzing mutual fund performance in Indonesia. The purposes of this study are a) to investigate whether mutual fund outperforms particular benchmarks (market return and risk free rate); b) to analyze both consistency and persistency of mutual fund performance. Sample of this study are 15 equity mutual funds, which provides data from January 2004 to December 2006. Jensen’s Alpha, Treynor and Sharpe indexes are used in this study to measure fund performance. Market adjusted models are used in measuring abnormal return. The t-test is used to test fund performance. This study employs coefficient concordance Kendall’s W to measure the consistency of fund performance. While, autoregressive distribution lag models are employed to analyze the persistency of fund performance. This study finds that fund performance outperforms the particular benchmarks significantly. This study also provides evidence, which supports the hypothesis that there are consistency and persistency of fund performances phenomena in Indonesia. The research results suggest investor’s redemption in mutual fund market in 2005 may not caused by worse fund performance or both inconsistence nor persistence in mutual fund performance, rather than it may caused by investor’s mental set and their lack of knowledge about risk and return.

A Study on Investment Decision of Investors With Reference to Penetration of Mutual Funds in India

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratish C Gupta ◽  
Dr. Manish Mittal
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Mutual Funds ◽  
Capital Markets ◽  
Mutual Fund ◽  
Financial Services ◽  
Investment Decision ◽  
Fund Industry ◽  
Mutual Fund Industry ◽  
The Impact

The Indian mutual fund industry is one of the fastest growing and most competitive segments of the financial sector. The extent of under-penetration in the market is a sore point with the financial services industry, with a large amount of savings being channelized into fixed deposits, gold and real estate rather than the capital markets. The mutual fund industry is yet to spread its reach beyond Tier I cities. The top fifteen cities contribute to 85% of the pie, with the remaining 15% distributed among other cities. The study seeks to determine the impact of decision making of investors on current situation of mutual fund industry.

scholarly journals Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots

2020 ◽  
Vol 17 (17) ◽  
pp. 6259
Author(s):  
Xuan Yang ◽  
Zhou-Jing Wang
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Pairwise Comparison ◽  
Evaluation Index System ◽  
Multi Criteria Decision Making ◽  
Low Carbon ◽  
Decision Matrix ◽  
Intuitionistic Fuzzy ◽  
Linguistic Term ◽  
Performance Evaluation Index

Low-carbon tourism is an effective solution to cope with the goal conflict between developing tourist economy and responding to carbon emission reduction and ecological environment protection. Tourism scenic spots are important carriers of tourist activities and play a crucial role in low-carbon tourism. There are multiple factors affecting the low-carbon performance of a tourism scenic spot, and thus the performance evaluation and ranking of low-carbon tourism scenic spots can be framed as a hierarchical multi-criteria decision making (MCDM) problem. This paper develops a novel method to tackle hierarchical MCDM problems, in which the importance preferences of criteria over the decision goal and sub-criteria with respect to the upper-level criterion are provided by linguistic-term-based pairwise comparisons and the assessments of alternatives over each of sub-criteria at the lowest level are furnished by positive interval values. The linguistic-term-based pairwise comparison matrices are converted into intuitionistic fuzzy preference relations and an approach is developed to obtain the global importance weights of the lowest level sub-criteria. A multiplicatively normalized intuitionistic fuzzy decision matrix is established from the interval-value-based assessments of alternatives and a method is proposed to determine the intuitionistic fuzzy value based comprehensive scores of alternatives. A case study is offered to illustrate how to build a performance evaluation index system of low-carbon tourism scenic spots located at Zhejiang Province of China and show the use of the proposed intuitionistic fuzzy hierarchical MCDM method.

NEW DEA PERFORMANCE EVALUATION INDICES AND THEIR APPLICATIONS IN THE AMERICAN FUND MARKET

2008 ◽  
Vol 25 (04) ◽  
pp. 421-450 ◽  
Author(s):  
RUIYUE LIN ◽  
ZHIPING CHEN
Keyword(s):  
Performance Evaluation ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Risk Measures ◽  
Relative Performance ◽  
Programming Approach ◽  
Data Envelopment ◽  
Performance Variation ◽  
Mathematical Programming Approach ◽  
Return Distributions

The data envelopment analysis (DEA) method is a mathematical programming approach to evaluate the relative performance of portfolios. Considering that the risk input indicators of existing DEA performance evaluation indices cannot reflect the pervasive fat tails and asymmetry in return distributions of mutual funds, we originally introduce new risk measures CVaR and VaR into inputs of relevant DEA indices to measure relative performance of portfolios more objectively. To fairly evaluate the performance variation of the same fund during different time periods, we creatively treat them as different decision making units (DMUs). Different from available DEA applications which mainly investigate the American mutual fund performance from the whole market or industry aspect, we analyze in detail the effect of different input/output indicator combinations on the performance of individual funds. Our empirical results show that VaR and CVaR, especially their combinations with traditional risk measures, are very helpful for comprehensively describing return distribution properties such as skewness and leptokurtosis, and can thus better evaluate the overall performance of mutual funds.

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