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.

scholarly journals Predicting the relative performance of actively managed equity mutual funds using diverse performance evaluation techniques

2021 ◽  
Vol 19 (1) ◽  
pp. 69-83
Author(s):  
Akshay Damani ◽  
Nandip Vaidya
Keyword(s):  
Performance Evaluation ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Risk Measures ◽  
Market Timing ◽  
Relative Performance ◽  
Past Performance ◽  
Significance Level ◽  
Equity Mutual Funds ◽  
Ex Post

Mutual fund performance evaluation has seen an ever-growing interest for research amongst industry and academicians alike. In this paper an attempt has been made to compare and correlate global actively managed equity mutual funds’ performance across time intervals, to evaluate and establish how predicting future performance can be made meaningful for investors using analysis of historical data based on monthly net asset values (NAVs) (March 2009–March 2021). Of the top 500 global equity mutual funds based on market-cap (on March 31, 2021), the paper evaluated 180 actively managed funds adding up to approximately USD 5 trillion of the fund assets as of March 31, 2021. The research gap which the paper aims to fill is to bring under one umbrella, prediction analysis using performance measures, downside risk measures, style factor analysis, and market timing models. For sampled equity funds various performance ratios and style attributes were computed and compared across periods for their relative performance. Relative performance was found to be stable (at 1% significance level) across periods and hence predictable. A portfolio of funds constructed optimally using historical performance was seen to be in the top quartile ex-post performance in the subsequent period. However, it was found that the market timing abilities of fund managers were unstable across periods and could not be used for predicting performance. Based on the study findings, it would be appropriate for investors to use the relative past performance of the funds and their style attribute analysis for the future allocation of investible surplus across these funds

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 Portfolio Managers on the Colombian Open-End Mutual Fund Industry: Performance, downside risk and persistence

2019 ◽  
Vol 32 (59) ◽  
Author(s):  
Fredy Alexander Pulga Vivas ◽  
María Teresa Macías Joven
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Risk Measures ◽  
Downside Risk ◽  
Investment Strategies ◽  
Short Term ◽  
Past Performance ◽  
Investment Trusts ◽  
Bond Funds ◽  
Equity Funds

This study explores whether Colombian mutual funds deliver abnormal risk-adjusted returns and delves on their persistence. Through traditional and downside risk measures based on Modern Portfolio Theory and Lower Partial Moments, this article evaluates the performance of 146 mutual funds categorized by investment type and fund manager. This assessment suggests that mutual funds underperform the market and deliver real returns. Similarly, bond funds underperform equity funds, and investment trusts underperform brokerage firms as managers. Furthermore, bond funds and funds managed by investment trusts exhibit short-term performance persistence. These results suggest that investors may pursue passive investment strategies, and that they must analyze past performance to invest in the short-term.

Impact of competition on fund disclosures and consumer search costs

2019 ◽  
Vol 18 (2) ◽  
pp. 198-220
Author(s):  
Sitikantha Parida
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Market Competition ◽  
Search Costs ◽  
Consumer Search ◽  
Relative Performance ◽  
Policy Implications ◽  
Content Type ◽  
The Impact ◽  
Illiquid Assets

Purpose The purpose of this paper is to investigate the impact of competition in financial markets on the frequency of portfolio disclosures by mutual funds and its implications for consumer search costs. Design/methodology/approach The empirical analysis merges the Center for Research in Security Prices (CRSP) survivorship bias-free mutual fund database, the Thompson Financial CDA/ Spectrum holdings database and the CRSP stock price data. The sample covers the time period between 1993 and 2010 and OLS and logistic regressions are used to investigate the impact of competition on fund disclosures. Findings This paper finds that mutual fund disclosures decrease with market competition and this effect is amplified for funds holding illiquid assets. These results provide empirical support for the findings of Carlin et al. (2102). Mutual funds use portfolio disclosures as a marketing tool to attract investments in a tournament-like market, where superior relative performance and greater visibility are rewarded with convex payoffs. With competition, the likelihood of receiving new investments decreases for each fund and funds respond by reducing costly voluntary disclosures. The disclosure costs are higher for funds holding illiquid assets, and hence, the effect is stronger for them. Originality/value This paper has important policy implications for disclosures in a market where relative performance matters. The traditional view is that competition induces voluntary disclosure because entities would like to differentiate themselves from competitors, and hence, competition should increase market transparency. However, this paper sheds light on the negative consequence of competition in a tournament-like mutual fund market.

scholarly journals Mutual Fund Performance Evaluation and Best Clienteles

2017 ◽  
Vol 52 (4) ◽  
pp. 1577-1604 ◽  
Author(s):  
Stéphane Chrétien ◽  
Manel Kammoun
Keyword(s):  
Performance Evaluation ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Good Deal ◽  
Fund Performance ◽  
Law Of One Price ◽  
Mutual Fund Performance ◽  
Positive Performance ◽  
Clientele Effects ◽  
Investor Disagreement

This paper investigates investor disagreement and clientele effects in performance evaluation by developing a measure that considers the best potential clienteles of mutual funds. In an incomplete market under law-of-one-price (LOP) and no-good-deal conditions, we obtain an upper bound on admissible performance measures that identifies the most favorable alpha. Empirically, we find that a reasonable investor disagreement leads to generally positive performance for the best clienteles. Performance disagreement by investors can be significant enough to change the average evaluation of mutual funds from negative to positive, depending on the clienteles.

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