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Excess Return of US Mutual Funds

https://doi.org/10.24833/2071-8160-2023-3-90-244-262

Abstract

The paper examines the factors that contribute to the outperformance of mutual funds in relation to the market, with a particular emphasis on the macroeconomic indicators as the key variables of interest. The paper begins by providing a comprehensive literature review on various factors that can impact the performance of mutual funds. The discussion encompasses a wide range of topics, including skill presence, diseconomies of scale, and other challenges associated with generating excess returns for investors.

In the second part of the paper, an empirical analysis is conducted using actively managed US mutual funds to establish a relationship between fund performance and macro-variables, specifically focusing on term and credit spreads. Furthermore, the study considers different returns on positive and negative changes in spreads. The sample consists of funds that primarily invest in various sectors within the United States, with the Standard and Poor's 500 (S&P 500) serving as the benchmark. To assess the performance of funds with active strategies, panel data models are applied, with the excess return over the benchmark as the dependent variable. Different subperiods, including the financial crisis and the COVID-19 period, are examined. Notably, the impact of variables during the pandemic period differs significantly from other subperiods. The findings indicate that positive and negative changes in the spread between corporate bond yields have significant and positive effects across almost all periods, which has practical implications for potential investors. It suggests that active professional portfolio managers have been successful in uncertain periods. To control for external shocks and funds' cross-correlation, double-clustered standard errors are employed, and a series of robustness checks confirm the stability of the results.

About the Authors

N. V. Artamonov
Moscow State Institute of International Relations (University)
Russian Federation

Nikita V. Artamonov – PhD in Mathematics, associate professor, Head of Dept. for Mathematics, Econometrics and IT

76 Prospect Vernadskogo, 119454, Moscow, Russia



A. N. Kurbatskii
Lomonosov Moscow State University, Moscow School of Economics
Russian Federation

Aleksei N. Kurbatskii – PhD in Mathematics, associate professor, Head of Department of Econometrics and Mathematical Methods in Economics

1/61 Leninskie Gory, 119234, Moscow, Russia



References

1. Artamonov N., Voronina A., Emelyanov N., Kurbatskii A. 2020. Estimation of Interest Rates’ Impact on Mutual Funds’ Performance in the USA. Applied Econometrics. No58. P. 55–75. DOI: 10.22394/1993-7601-2020-58-55-75

2. Banegas A., Montes-Rojas G., Siga L. 2018. The Effect of Monetary Policy Shocks on Mutual Fund Investing. DOI: 10.2139/ssrn.3550128

3. Bera A.K, Sosa-Escudero W., Yoon M. 2001. Tests for the Error Component Model in the Presence of Local Misspecification. Journal of Econometrics. 101(1). P. 1–23. DOI: 10.1016/ S0304-4076(00)00071-3

4. Berk J.B., van Binsbergen J.H. 2015. Measuring Skill in the Mutual Fund Industry. Journal of Financial Economics. 118(1). P. 1–20. DOI: 10.2139/ssrn.2038108

5. Campello M., Chen L., Zhang L. 2008. Expected Returns, Yield Spreads, and Asset Pricing Tests. The Review of Financial Studies. 21(3). P. 1297–1338. DOI: 10.1093/rfs/hhn011

6. Carhart M. 1997. On Persistence in Mutual Fund Performance. The Journal of Finance. No52. P. 57–82. DOI: 10.1111/j.1540-6261.1997.tb03808.x

7. Chen H.-L., Jegadeesh N., Wermers R. 2000. The Value of Active Mutual Fund Management: An Examination of the Stockholdings and Trades of Fund Managers. Journal of Financial and Quantitative analysis. 35(3). P. 343–368. DOI: 10.2307/2676208

8. Chen J., Hong H., Huang M., Kubik J. 2004. Does Fund Size Erode Performance? Liquidity, Organizational Diseconomies, and Active Money Management. American Economic Review. No94. P. 1276–1302. DOI: 10.2139/ssrn.327960

9. Crane A., Crotty K. 2018. Passive Versus Active Fund Performance: Do Index Funds Have Skill? Journal of Financial and Quantitative Analysis. 53(1). P. 33–64. DOI: 10.1017/ S0022109017000904

10. Cremers K., Peajisto A. 2009. How Active you Fund Manager? A Measure that Predicts Performance. The Review of Financial Studies. 22(9). P. 3329–3365. DOI: 10.2139/ssrn.891719

11. Dahlquist M., Engstrom S., Soderlind P. 2000. Performance and Characteristics of Swedish Mutual Funds. Journal of Financial and Quantitative Analysis. 35(3). P. 409–423. DOI: 10.2307/2676211

12. Daniel K., Grinblatt M., Titman S., Wermers R. 1997. Measuring Mutual Fund Performance with Characteristic-Based Benchmarks. The Journal of Finance. No52. P. 1035–1058. DOI: 10.1111/j.1540-6261.1997.tb02724.x

13. Fama E.F. 1970. Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance. 25(2). P. 383–417. DOI: 10.2307/2325486

14. Fan Y., Lin C.Y. 2020. Active vs. Passive, the Case of Sector Equity Funds. Financial Services Review. No28. P. 159–177. URL: https://www.researchgate.net/publication/356587869_Active_vs_passive_the_case_of_sector_equity_funds (accessed 10.06.2023)

15. Ferreira M., Keswani A., Miguel A., Ramos S. 2013. The Determinants of Mutual Fund Performance: A Cross-Country Study. CFA Digest. No43. DOI: 10.2469/dig.v43.n3.47

16. Frank M.M., Poterba J., Shackelford D., Shoven J. 2014. Copycat Funds: Information Disclosure Regulation and the Returns to active Management in the Mutual Fund Industry. Journal of Law and Economics. 47(2). P. 515–541. DOI: 10.2139/ssrn.293617

17. Goetzmann W. N., Ibbotson R. G. 1994. Do Winners Repeat? The Journal of Portfolio Management. 20(2). P. 9–18. DOI: 10.3905/jpm.1994.9

18. Grinblatt M., Titman S. 1989. Mutual Fund Performance: An Analysis of Quarterly Portfolio Holdings. The Journal of Business. 62(3). P. 393–416. DOI: 10.1086/296468

19. Gruber M. J. 1996. Another Puzzle: The Growth in Actively Managed Mutual Funds. The Journal of Finance. 51(3). P. 783–810. DOI: 10.1111/j.1540-6261.1996.tb02707.x

20. Jensen M. 1968. The Performance of Mutual Funds in the Period 1945–1964. The Journal of Finance. 23(2). P. 389–416. DOI: j.1540-6261.1968.tb00815.x

21. Kacperczyk M., Nieuwerburgh S. V., Veldkamp L. 2014. Time-Varying Fund Manager Skill. The Journal of Finance. 69(4). P. 1455–1484. DOI: 10.1111/jofi.12084

22. Kurbatskii A. 2022. Active Strategy and other Key Factors of Mutual Funds’ Performance. Montenegrin Journal of Economics. 18(3). P. 99–107. DOI: 10.14254/1800-5845/2022.18-3.8

23. Malkiel B.G. 1995. Returns from Investing in Equity Mutual Funds 1971 to 1991. The Journal of Finance. 50(2). P. 549–572. DOI: 10.2307/2329419

24. Meier I., Rombouts J. 2009. Style Rotation and Performance Persistence of Mutual Funds. Working Paper. Montréal: HEC. DOI: 10.2139/ssrn.1313242

25. Pástor L., Stambaugh R. F. 2012. On the Size of the Active Management Industry. Journal of Political Economy. 120(4). P. 740–781. DOI: 10.1086/667987

26. Pollet J., Wilson M. 2008. How does Size Affect Mutual Fund Behavior? The Journal of Finance. 63(6). P. 2941–2969. DOI: 10.2139/ssrn.918250

27. Rapach D.E., Strauss J.K., Zhou G. 2010. Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy. The Review of Financial Studies. 23(2). P. 821–862. DOI: 10.2139/ssrn.1257858

28. Welch I., Goyal A. A 2008. Comprehensive Look at The Empirical Performance of Equity Premium Prediction. The Review of Financial Studies. 21(4). P. 1455–1508. DOI: 10.1093/rfs/ hhm014

29. Wermers R., Smith R. 2003. Are Mutual Fund Shareholders Compensated for Active Management “Bets”? URL: https://www.researchgate.net/publication/228695647_Are_mutual_ fund_shareholders_compensated_for_active_management_bets (accessed 10.06.2023)


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For citations:


Artamonov N.V., Kurbatskii A.N. Excess Return of US Mutual Funds. MGIMO Review of International Relations. 2023;16(3):244-262. https://doi.org/10.24833/2071-8160-2023-3-90-244-262

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ISSN 2071-8160 (Print)
ISSN 2541-9099 (Online)