The Best Mutual Fund Managers: Testing the Impact of Experience Using a Survivorship Bias Free Dataset

CFA Digest ◽  
2012 ◽  
Vol 42 (4) ◽  
pp. 143-145
Author(s):  
Victoria Rati
Keyword(s):  
Mutual Fund ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Survivorship Bias ◽  
The Impact

scholarly journals The impact of prior performance on the risk-taking of mutual fund managers

2008 ◽  
Vol 5 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Manuel Ammann ◽  
Michael Verhofen
Keyword(s):  
Risk Taking ◽  
Mutual Fund ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Prior Performance ◽  
The Impact

scholarly journals THE EFFICIENCY EVALUATION OF MUTUAL FUND MANAGERS BASED ON DARA, CARA, IARA

2013 ◽  
Vol 14 (4) ◽  
pp. 677-695 ◽  
Author(s):  
Mohammad Reza Tavakoli Baghdadabad ◽  
Farid Habibi Tanha ◽  
Noreha Halid
Keyword(s):  
Mutual Funds ◽  
Mutual Fund ◽  
Data Envelopment ◽  
Unique Contribution ◽  
Management Styles ◽  
Mutual Fund Managers ◽  
Dea Model ◽  
Technical Management ◽  
Fund Managers ◽  
The Impact

We evaluate the efficiency of mutual fund managers of 20 different classes of management styles to identify the most efficient strategies and to propose an optimal pattern in selecting the funds by investors. We collect monthly data of 17,686 US mutual funds for a five-year period 2005–2010 to minimize the impact of survivorship bias and use Data Envelopment Analysis (DEA) model to evaluate the mutual fund performance. The set of considered inputs comprised “variance”, representing the mutual fund risk, and “turnover, expense ratio and loads indicators”, reflecting the mutual fund costs and fees. Two kinds of outputs are taken into account by our DEA model, “portfolio return” and “stochastic dominance indicators”. As a unique contribution, we state the benefits of the DEA approach in the DARA, CARA, and IARA framework, and evaluate the efficiency of mutual funds based on fund strategies as well as the performance of best mutual funds among their group. The evidence shows that the efficiency scores of technical, management, and scale are respectively 0.81, 0.921, and 0.874 for the DARA model, while the efficiency scores of two models of CARA and IARA are negligible. Also, we rank each management strategy in any model based on two methods – the number of referencing and the weighted value so that the managers of inefficient strategies must pattern the managers’ ability of reference (efficient) strategies to improve their efficiency on the fund market in future.

scholarly journals Asset Pricing Models and Stock Selection Ability of the Indian Mutual Fund Managers: An Empirical Study of Open-ended Growth Equity Schemes

2019 ◽  
Vol 3 (3) ◽  
pp. 49-62
Author(s):  
Kamal Gupta
Keyword(s):  
Asset Pricing ◽  
Mutual Fund ◽  
Equity Capital ◽  
Financial Resources ◽  
Stock Selection ◽  
Pricing Models ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Asset Pricing Models ◽  
The Impact

The paper is devoted to the study of the analysis and forecasting of the possibility of joint investment Fund managers to choose securities for further investment. The methodological tools of the work are presented by models Jensen, Fama & amp; French and Carhart (which allow to assess the ability to select securities by managers of mutual funds). Empirical estimates of the analysis on three models showed that Indian mutual Fund managers have the ability to choose stocks. The author states that the analysis based on the Jensen model characterizes higher potential opportunities for the selection of securities by the managers of India’s joint-stock funds compared to the other two models used in the study. The results of the study can be useful for investors in making investment decisions, in particular in the process of placing their own financial resources in joint investment funds. The paper postulates that investors will be able to choose joint investment schemes in favor of funds, which provide the opportunity to choose securities for investment for more than ten years. The author notes that the key effect of the introduction of such a practice of interaction between investors and funds will be the growth of investor confidence, which will contribute to the accumulation of additional volumes of investments in the joint investment sector. This study is limited only to the schemes of investing their own financial resources, but in the future can be further expanded to the practice of using a wide range of schemes, since the possibility of choosing shares is associated with many financial processes and indicators. Since the study of asset pricing models is a continuous process, the author proposed to study the processes of joint investment in pension funds in the context of assessing the impact of financial indicators such as liquidity, return on investment, profitability. Keywords: investors, funds of collective investment, the ability to stock selection, patterns of growth equity capital.

scholarly journals Do Mutual Fund Managers Time Market Sentiment?

2020 ◽  
Vol 11 (5) ◽  
pp. 527
Author(s):  
Jun-Hao Li ◽  
Chun-Fan You ◽  
Chin-Sheng Huang
Keyword(s):  
Mutual Fund ◽  
Market Timing ◽  
Mutual Fund Managers ◽  
Bear Market ◽  
Market Sentiment ◽  
Fund Managers ◽  
Timing Ability ◽  
Equity Funds ◽  
Volatility Timing ◽  
The Impact

This paper examines whether fund managers can adjust the exposure of portfolio to time market sentiment, thus expanding the new dimension of the study of mutual fund managers’ timing ability. Using the data of Chinese open-end equity funds from January 2010 to December 2019, based on the CICSI sentiment index developed by Yi and Mao (2009), we find strong evidence that Chinese mutual fund managers have sentiment ability during the sample period. In addition, the funds with positive sentiment timing ability outperforms those without such by 2.20% per year, and the longer the fund survives, the more likely for it to have sentiment timing ability. Our findings remain robust even after controlling the impact of bull and bear market on China’s A-share market in 2015, market timing, volatility timing and liquidity timing, and after using three new sentiment indicators to verify the finding, three indicators being the net buying amount of northward capital, the net buying amount of financing, and the net ratio of limit up.

scholarly journals Managerial behavior in fund tournaments—the impact of TrueSkill

2021 ◽  
Author(s):  
Alexander Swade ◽  
Gerrit Köchling ◽  
Peter N. Posch
Keyword(s):  
Risk Taking ◽  
Mutual Fund ◽  
Managerial Behavior ◽  
Mutual Fund Managers ◽  
Fund Managers ◽  
Highly Skilled ◽  
The Impact

AbstractMeasuring mutual fund managers’ skills by Microsoft’s TrueSkill algorithm, we find highly skilled managers to behave self-confident resulting in higher risk-taking in the second half of the year compared to less skilled managers. Introducing the TrueSkill algorithm, which is widely used in the e-sports community, to this branch of literature, we can replicate previous findings and theories suggesting overconfidence for mid-years winners.

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