A fuzzy-set analysis of conditions influencing mutual fund performance

Abstract This paper presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to frame the conditions that lead to over- or under-performance of mutual funds. Building upon a considerable library of research on fund returns, the study uses fsQCA to affirm and extend earlier discoveries. Considered here is fund performance relative to Morningstar ratings, features of the funds themselves, as well as characteristics of the fund managers. Results suggest that positive Morningstar and analyst ratings are necessary conditions, on average, for funds to generate value according to the Jensen's alpha ratio. Just over seven percent of the cases imply that funds have attractive Sharpe ratios and higher returns when the funds have lower management fees and lower ongoing fees. Likewise, larger funds with better Morningstar ratings are associated with improved Sharpe ratios and better returns, often where the fund manager has not been managing the fund for a long period.

[1]  Jack L. Treynor,et al.  MUTUAL FUND PERFORMANCE* , 2007 .

[2]  Javier Gil-Bazo,et al.  The Relation between Price and Performance in the Mutual Fund Industry , 2009 .

[3]  M. C. Jensen The Performance of Mutual Funds in the Period 1945-1964 , 1967 .

[4]  Jeffrey A. Busse,et al.  Short-Term Persistence in Mutual Fund Performance , 2005 .

[5]  Morten T. Hansen,et al.  Faking It or Muddling Through? Understanding Decoupling in Response to Stakeholder Pressures , 2012 .

[6]  Martin J. Gruber,et al.  Another puzzle: the growth in actively managed mutual funds , 1996, Annals of Operations Research.

[7]  Roland Füss,et al.  From Rising Stars and Falling Angels: On the Relationship Between the Performance and Ratings of German Mutual Funds , 2010, The Journal of Wealth Management.

[8]  René M. Stulz,et al.  Working Paper Series the Determinants of the Flow of Funds of Managed Portfolios: Mutual Funds versus Pension Funds the Determinants of the Flow of Funds of Managed Portfolios: Mutual Funds versus Pension Funds , 2022 .

[9]  Ming Huang,et al.  Does Fund Size Erode Mutual Fund Performance? The Role of Liquidity and Organization , 2004 .

[10]  John A. Haslem Morningstar Mutual Fund Measures and SelectionModel , 2014, The Journal of Wealth Management.

[11]  Peter Tufano,et al.  Costly Search and Mutual Fund Flows , 1998 .

[12]  Joseph H. Golec,et al.  The effects of mutual fund managers' characteristics on their portfolio performance, risk and fees , 1996 .

[13]  Marno Verbeek,et al.  Going for Gold: An Analysis of Morningstar Analyst Ratings , 2017, Manag. Sci..

[14]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[15]  M. Morey,et al.  Manager education and mutual fund performance , 2006 .

[16]  Mutual fund managers: Does longevity imply expertise? , 2003 .

[17]  Mihai Paunescu,et al.  Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance , 2010 .

[18]  Mark M. Carhart On Persistence in Mutual Fund Performance , 1997 .

[19]  M. Berkowitz,et al.  Managerial quality and the structure of management expenses in the US mutual fund industry , 2002 .

[20]  Marcin T. Kacperczyk,et al.  Fund Manager Use of Public Information: New Evidence on Managerial Skills , 2007 .

[21]  Christopher R. Blake,et al.  Survivorship Bias and Mutual Fund Performance , 1995 .

[22]  William G. Droms,et al.  Persistence of mutual fund operating characteristics: returns, turnover rates, and expense ratios , 2001 .

[23]  M. Vink,et al.  Not quite crisp, not yet fuzzy? Assessing the potentials and pitfalls of multi-value QCA 1 , 2007 .

[24]  Kalle Pajunen,et al.  Institutions and inflows of foreign direct investment: a fuzzy-set analysis , 2008 .

[25]  Minyoung Kim Many roads lead to Rome: Implications of geographic scope as a source of isolating mechanisms , 2013, Journal of International Business Studies.

[26]  Kent D. Daniel,et al.  Measuring mutual fund performance with characteristic-based benchmarks , 1997 .

[27]  C. Chao,et al.  Another explanation of the mutual fund fee puzzle , 2016 .

[28]  Yu-Jane Liu,et al.  Out of sight, not out of mind: The evidence from Taiwan mutual funds , 2015 .

[29]  Laurie Prather,et al.  Mutual Fund Characteristics, Managerial Attributes and Fund Performance , 2004 .

[30]  Mutual Fund Performance and Changing Market Trends 1990-2001 , 2006 .

[31]  Charles C. Ragin,et al.  Qualitative Comparative Analysis Using Fuzzy Sets (fsQCA) , 2008 .

[32]  Christopher R. Blake,et al.  Morningstar Ratings and Mutual Fund Performance , 1999, Journal of Financial and Quantitative Analysis.

[33]  John Matatko,et al.  Ethical Unit Trust Financial Performance: Small Company Effects and Fund Size Effects , 1997 .

[34]  R. Kräussl,et al.  The Predictive Performance of Morningstar's Mutual Fund Ratings , 2007 .

[35]  Roger M. Edelen Investor flows and the assessed performance of open-end mutual funds , 1999 .

[36]  Richard J. Zeckhauser,et al.  Hot Hands in Mutual Funds: Short‐Run Persistence of Relative Performance, 1974–1988 , 1993 .

[37]  Daniel Bergstresser,et al.  Do After-Tax Returns Affect Mutual Fund Inflows? , 2002 .

[38]  B. Malkiel Returns from Investing in Equity Mutual Funds 1971 to 1991 , 1995 .

[39]  J. Mill A System Of Logic, Ratiocinative And Inductive , 2019 .

[40]  Andrew N. K. Chen,et al.  Evaluating multi-criteria ratings of financial investment options , 2014 .

[41]  Charles C. Ragin,et al.  Redesigning social inquiry , 2008 .

[42]  Arch G. Woodside,et al.  Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations , 2014 .

[43]  A. Woodside Incompetency training: Theory, practice, and remedies , 2012 .

[44]  Arch G. Woodside,et al.  Applying Configurational Theory to Build a Typology of Ethnocentric Consumers , 2016 .

[45]  Patrick A. Mello Fuzzy-Set Qualitative Comparative Analysis , 2014 .

[46]  Ľuboš Pástor,et al.  Scale and Skill in Active Management , 2014 .

[47]  Dirk Berg-Schlosser,et al.  Comparative Research Design: Case and Variable Selection , 2009 .

[48]  Carlos Rodríguez-Monroy,et al.  A fuzzy set scale approach to value workers participation and learning , 2016 .

[49]  Paula A. Tkac,et al.  Star power: the effect of Morningstar ratings on mutual fund flows , 2001 .

[50]  Peer C. Fiss Building Better Causal Theories: A Fuzzy Set Approach to Typologies in Organization Research , 2011 .

[51]  Xuemin Yan,et al.  Liquidity, Investment Style, and the Relation between Fund Size and Fund Performance , 2008, Journal of Financial and Quantitative Analysis.

[52]  Paul Gerrans,et al.  Morningstar Ratings and Future Performance , 2006 .

[53]  Willard Van Orman Quine,et al.  The Problem of Simplifying Truth Functions , 1952 .

[54]  Lorne N. Switzer,et al.  How does human capital affect the performance of small and mid‐cap mutual funds? , 2007 .

[55]  Haoyuan Ding,et al.  Equity funds in emerging Asia: Does size matter? , 2015 .

[56]  R. Otten,et al.  European Mutual Fund Performance , 2000 .

[57]  David K. Musto,et al.  Mutual Fund Survivorship , 1997 .

[58]  Glenn Ellison,et al.  Are some mutual fund managers better than others , 1999 .

[59]  Joshua Pollet,et al.  How Does Size Affect Mutual Fund Behavior , 2008 .

[60]  Joanna S. Wu,et al.  Truth in mutual fund advertising: Evidence on future performance and fund flows , 2000 .

[61]  Peter Tufano,et al.  Mutual Funds Fees Around the World , 2007 .

[62]  James D. Peterson,et al.  Explaining the Performance of Domestic Equity Mutual Funds , 2001 .

[63]  William N. Goetzmann,et al.  COGNITIVE DISSONANCE AND MUTUAL FUND INVESTORS , 1997 .

[64]  Willard Van Orman Quine,et al.  A Way to Simplify Truth Functions , 1955 .

[65]  William F. Sharpe,et al.  The Arithmetic of Active Management , 1991 .

[66]  Charles C. Ragin,et al.  Comparative Employment Performance: A Fuzzy-Set Analysis , 2008 .

[67]  K. Cuthbertson,et al.  A Review of Behavioural and Management Effects in Mutual Fund Performance , 2016 .

[68]  Peer C. Fiss A set-theoretic approach to organizational configurations , 2007 .

[69]  Huseyin Gulen,et al.  Good Stewards, Cheap Talkers, or Family Men? The Impact of Mutual Fund Closures on Fund Managers, Flows, Fees, and Performance , 2007 .

[70]  William G. Droms,et al.  Mutual Fund Investment Performance , 1996 .

[71]  P. Bolster,et al.  Investing in Morningstar Five-Star Stock Upgrades: Price and Style Effects , 2013 .

[72]  A. Woodside Moving beyond multiple regression analysis to algorithms: Calling for adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory , 2013 .

[73]  F SharpeWilliam,et al.  Morningstar's Risk-Adjusted Ratings , 1998 .

[74]  Gary E. Porter,et al.  The Career Paths of Mutual Fund Managers: The Role of Merit , 2014 .

[75]  Tomás F. González-Cruz,et al.  An overview of qualitative comparative analysis: A bibliometric analysis , 2017 .

[76]  M. Blume,et al.  An Anatomy of Morningstar Ratings , 1998 .

[77]  William G. Droms,et al.  Determinants of variation in mutual fund returns , 1995 .

[78]  K. J. Martijn Cremers,et al.  How Active is Your Fund Manager? A New Measure That Predicts Performance , 2009 .

[79]  Christopher L. Shook,et al.  Organizational Configurations And Performance: A Meta-Analysis , 1997 .

[80]  G. Filbeck,et al.  Management Tenure and Risk-Adjusted Performance of Mutual Funds , 2004 .

[81]  M. Morey Mutual Fund Age and Morningstar Ratings , 2002 .