Individual Stock-picking Skills in Active Mutual Funds

2019 ◽  
Author(s):  
Yixin Chen
Keyword(s):  
Mutual Funds ◽  
Stock Picking

scholarly journals MANAGERIAL ABILITIES AND FACTOR INVESTMENT STYLE PERFORMANCES OF MALAYSIAN MUTUAL FUND MANAGERS

2021 ◽  
Vol 6 (1) ◽  
pp. 118-135
Author(s):  
Pick-Soon Ling ◽  
Ruzita Abdul-Rahim
Keyword(s):  
Mutual Funds ◽  
Portfolio Management ◽  
Mutual Fund ◽  
Market Timing ◽  
Stock Selection ◽  
Investment Style ◽  
Fund Managers ◽  
Equity Mutual Funds ◽  
Timing Ability ◽  
Stock Picking

Background and Purpose: Studies focusing on mutual fund managerial abilities and investment style strategies are still scarce in the literature. Thus, this study aims to provide new evidence and insights into the managerial abilities and investment style performances of Malaysian fund managers.   Methodology: A total of 444 Malaysian equity mutual funds (EMFs) were evaluated using Carhart’s model incorporated with Treynor-Mazuy (T-M) and Henriksson-Merton (H-M) market timing models for the study period, from January 1995 to December 2017.   Findings: Fund managers displayed superior stock selection skills with 32 percent and 43 percent of funds for T-M and H-M respectively, with perverse market timing ability which accounted for 39 percent and 42 percent of funds for T-M and H-M respectively. Perverse timing ability had reduced the superior stock-picking skills of fund managers. This suggests that the EMFs performance could further improve if respective fund managers perform better in market timing ability. The finding also indicates that size effect (SMB) and value effect (HML) play significant roles in investment style strategies, while results of momentum factor (WML) propose that Malaysian fund managers have followed the contrarian strategy.   Contributions: This study contributes in several ways especially in the literature of portfolio management as the evidence is obtained from the largest mutual funds sample size and the longest study period. Moreover, this study also used the highest frequency data to study the effects of market timing which were overlooked in previous studies.   Keywords: Adjusted carhart, Malaysian market, market timing, mutual fund, stock selection.   Cite as: Ling, P-S., & Abdul-Rahim, R. (2021). Managerial abilities and factor investment style performances of Malaysian mutual funds.  Journal of Nusantara Studies, 6(1), 118-135. http://dx.doi.org/10.24200/jonus.vol6iss1pp118-135

Style and Skill: Hedge Funds, Mutual Funds, and Momentum

2020 ◽  
Vol 66 (12) ◽  
pp. 5505-5531 ◽  
Author(s):  
Mark Grinblatt ◽  
Gergana Jostova ◽  
Lubomir Petrasek ◽  
Alexander Philipov
Keyword(s):  
Mutual Funds ◽  
Hedge Funds ◽  
Mutual Fund ◽  
Hedge Fund ◽  
Fund Performance ◽  
Short Sales ◽  
Fund Managers ◽  
Liquidity Provision ◽  
Stock Picking ◽  
Hedge Fund Performance

Classifying mandatory 13F stockholding filings by manager type reveals that hedge fund strategies are mostly contrarian, and mutual fund strategies are largely trend following. The only institutional performers—the two thirds of hedge fund managers that are contrarian—earn alpha of 2.4% per year. Contrarian hedge fund managers tend to trade profitably with all other manager types, especially when purchasing stocks from momentum-oriented hedge and mutual fund managers. Superior contrarian hedge fund performance exhibits persistence and stems from stock-picking ability rather than liquidity provision. Aggregate short sales further support these conclusions about the style and skill of various fund manager types. This paper was accepted by Tyler Shumway, finance.

When Is Stock Picking Likely to Be Successful? Evidence from Mutual Funds

CFA Digest ◽  
2009 ◽  
Vol 39 (3) ◽  
pp. 113-114
Author(s):  
Ying Duan ◽  
Gang Hu ◽  
R. David McLean
Keyword(s):  
Mutual Funds ◽  
Stock Picking

scholarly journals Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds

2012 ◽  
Vol 10 (2) ◽  
pp. 60-80
Author(s):  
Joanna Olbryś
Keyword(s):  
Mutual Funds ◽  
Stock Exchange ◽  
Market Timing ◽  
Market Returns ◽  
Fund Managers ◽  
Warsaw Stock Exchange ◽  
Q Model ◽  
Traditional Performance ◽  
Timing Models ◽  
Stock Picking

Arch Effects in Multifactor Market-Timing Models of Polish Mutual FundsPerformance measurement of investment managers is a topic of interest to practitioners and academics alike. The traditional performance evaluation literature has attempted to distinguish stock-picking ability (selectivity) from the ability to predict overall market returns (market-timing). However, the literature finds that it is not easy to separate ability into two such dichotomous categories. To overcome these problems multifactor alternative market-timing models have been proposed. The author's recent research provides evidence of strong ARCH effects in the market-timing models of Polish equity open-end mutual funds. For this reason, the main goal of this paper is to present the regression results of the new GARCH(p, q) versions of market-timing models of these funds. We estimate multifactor extensions of classical market-timing models with Fama & French's spread variables SMB and HML, and Carhart's momentum factor WML. We also include lagged values of the market factor as an additional independent variable in the regressions of the models because of the pronounced "Fisher effect" in the case of the main Warsaw Stock Exchange indexes. The market-timing and selectivity abilities of fund managers are evaluated for the period January 2003-December 2010. Our findings suggest that the GARCH(p, q) model is suitable for such applications.

When Is Stock Picking Likely to Be Successful? Evidence from Mutual Funds

2009 ◽  
Vol 65 (2) ◽  
pp. 55-66 ◽  
Author(s):  
Ying Duan ◽  
Gang Hu ◽  
R. David McLean
Keyword(s):  
Mutual Funds ◽  
Stock Picking

scholarly journals Financial Performance of SDG Mutual Funds Focused on Biotechnology and Healthcare Sectors

2020 ◽  
Vol 12 (5) ◽  
pp. 2032 ◽  
Author(s):  
Carmen-Pilar Martí-Ballester
Keyword(s):  
Sustainable Development ◽  
Financial Performance ◽  
Mutual Funds ◽  
Social Inequalities ◽  
Sustainable Development Goal ◽  
Development Goal ◽  
Multifactor Model ◽  
Fund Managers ◽  
Timing Ability ◽  
Stock Picking

Measures favoring healthy lives among populations around the world are essential to reduce social inequalities. Mutual funds could play an important role funding these measures if they are able to attract socially concerned investors by improving their wealth. This study analyzes the financial performance of mutual funds focused on the biotechnology and healthcare sectors related to UN sustainable development goal 3 (SDG 3), comparing their risk-adjusted return with that achieved by conventional mutual funds. This study implements Carhart’s multifactor model and Bollen and Busse’s timing multifactor model on a sample of 34 biotechnology and 178 healthcare mutual funds and 4352 conventional mutual funds. The results show that biotechnology and healthcare mutual funds perform similarly, while both of them outperform conventional mutual funds. This outperformance of biotechnology and healthcare funds is driven by the superior stock-picking skills of their managers with regards to those of conventional fund managers, while managers of biotechnology, healthcare, and conventional mutual funds present similar poor market timing ability. Mutual funds specialized in biotechnology and healthcare sectors related to sustainable development goal 3 (SDG 3) outperform conventional mutual funds.

Sensex and Nifty Indices: Are They the Right Benchmarks for Mutual Funds in India?

2018 ◽  
Vol 7 (1) ◽  
pp. 1-12
Author(s):  
S. S. S. Kumar
Keyword(s):  
Stock Market ◽  
Mutual Funds ◽  
Excess Returns ◽  
Construction Companies ◽  
Index Maintenance ◽  
The Right ◽  
Stock Portfolio ◽  
Exchange Traded Fund ◽  
Stock Picking ◽  
Provident Fund

Recently two significant developments took place in the Indian capital markets: (a) SEBI’s decision making it mandatory for all mutual funds to disclose the scheme returns against a common benchmark index such as Nifty or Sensex and (b) Employee’ Provident Fund Organisation (EPFO) is permitted to invest a part of their funds into stock market through the exchange-traded fund (ETF) route, particularly SBI Sensex and SBI Nifty ETFs. Both the developments are tied by a common concept that stock market indices such as Nifty and Sensex are passive without any statistically significant alpha. In the fund management industry, alpha is a measure of the risk-adjusted excess returns from a portfolio that can be attributed to the stock-picking skills of a fund manager. In this article, an attempt is made to examine for the presence of significant alphas in the returns of both the indices. The results of the study indicate that both the indices have statistically significant excess returns, raising questions on their suitability to act as reference and/or benchmarks for evaluating performance of mutual funds in India. Further, the study examined the returns of Sensex and Nifty index ETFs and observed a statistically significant alpha. The results of the study have important implications not only for the index construction companies but also to the policymakers who are advocating investment of considerable amounts of provident fund money into stock market through ETFs linked to Sensex and Nifty. Index maintenance companies have to re-design the indices so that they remain passive and the EPFO Administration may rethink their decision to invest in the existing ETFs linked to the Sensex and Nifty indices, and should consider constructing a well-diversified stock portfolio that is truly passive so that their mandate to get exposure only to market risk is fulfilled.

scholarly journals Investing in Socially Responsible Mutual Funds

2021 ◽  
Author(s):  
Christopher C Geczy ◽  
Robert F Stambaugh ◽  
David Levin
Keyword(s):  
Mutual Funds ◽  
Pricing Models ◽  
Socially Responsible ◽  
Responsible Investment ◽  
Fund Managers ◽  
Market Index ◽  
Socially Responsible Mutual Funds ◽  
Manager Skill ◽  
The Cost ◽  
Stock Picking

Abstract We construct optimal portfolios of mutual funds whose objectives include socially responsible investment (SRI). Comparing portfolios of these funds to those constructed from the broader fund universe reveals the cost of imposing the SRI constraint on investors seeking the highest Sharpe ratio. This SRI cost crucially depends on the investor’s views about asset pricing models and stock-picking skill by fund managers. To an investor who strongly believes in the CAPM and rules out managerial skill, that is, a market index investor, the cost of the SRI constraint is typically just a few basis points per month, measured in certainty-equivalent loss. To an investor who still disallows skill but instead believes to some degree in pricing models that associate higher returns with exposures to size, value, and momentum factors, the SRI constraint is much costlier, typically by at least 30 basis points per month. The SRI constraint imposes large costs on investors whose beliefs allow a substantial amount of fund-manager skill, that is, investors who heavily rely on individual funds’ track records to predict future performance.

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