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Performance and performance persistence of UK closed-end equity funds

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  • Bredin, Don
  • Cuthbertson, Keith
  • Nitzsche, Dirk
  • Thomas, Dylan C.

Abstract

Using a comprehensive data set of almost 300 UK closed-end equity funds over the period 1990 to 2013, we use the false discovery rate to assess the alpha-performance of individual funds with both domestic and other mandates, using self-declared benchmarks and additional risk factors. We find evidence to indicate that up to 16% of the funds have truly positive alphas while around 3% have truly negative alphas. Positive post-formation alphas using fund-price returns depend on the factor model used: there is some positive-alpha performance when post-formation returns are evaluated using a one-factor global model but substantial positive-alpha performance when using a four-factor global model.

Suggested Citation

  • Bredin, Don & Cuthbertson, Keith & Nitzsche, Dirk & Thomas, Dylan C., 2014. "Performance and performance persistence of UK closed-end equity funds," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 189-199.
  • Handle: RePEc:eee:finana:v:34:y:2014:i:c:p:189-199
    DOI: 10.1016/j.irfa.2014.05.011
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    1. McCracken, Michael W & Sapp, Stephen G, 2005. "Evaluating the Predictability of Exchange Rates Using Long-Horizon Regressions: Mind Your p's and q's!," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 473-494, June.
    2. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1703, August.
    3. Laurent Barras & Olivier Scaillet & Russ Wermers, 2010. "False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas," Journal of Finance, American Finance Association, vol. 65(1), pages 179-216, February.
    4. Khorana, Ajay, 2001. "Performance Changes following Top Management Turnover: Evidence from Open-End Mutual Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(3), pages 371-393, September.
    5. G Quigley & R A Sinquefield, 2000. "Performance of UK equity unit trusts," Journal of Asset Management, Palgrave Macmillan, vol. 1(1), pages 72-92, July.
    6. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    7. Kenbata Bangassa, 1999. "Performance of UK Investment Trusts: 1980-1994," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(9-10), pages 1141-1168.
    8. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    9. Gordon J. Alexander & Gjergji Cici & Scott Gibson, 2007. "Does Motivation Matter When Assessing Trade Performance? An Analysis of Mutual Funds," The Review of Financial Studies, Society for Financial Studies, vol. 20(1), pages 125-150, January.
    10. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    11. Martin Cherkes & Jacob Sagi & Richard Stanton, 2009. "A Liquidity-Based Theory of Closed-End Funds," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 257-297, January.
    12. Madura, Jeff & Bers, Martina K., 2002. "The performance persistence of foreign closed-end funds," Review of Financial Economics, Elsevier, vol. 11(4), pages 263-285.
    13. Aneel Keswani & David Stolin, 2008. "Which Money Is Smart? Mutual Fund Buys and Sells of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 63(1), pages 85-118, February.
    14. Elton, Edwin J. & Gruber, Martin J. & Blake, Christopher R. & Shachar, Or, 2013. "Why Do Closed-End Bond Funds Exist? An Additional Explanation for the Growth in Domestic Closed-End Bond Funds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 405-425, April.
    15. Thomas Dangl & Youchang Wu & Josef Zechner, 2008. "Market Discipline and Internal Governance in the Mutual Fund Industry," The Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2307-2343, September.
    16. Bessler, Wolfgang & Blake, David & Lückoff, Peter & Tonks, Ian, 2010. "Why does mutual fund performance not persist? The impact and interaction of fund flows and manager changes," MPRA Paper 34185, University Library of Munich, Germany.
    17. Keith Cuthbertson & Dirk Nitzsche & Niall O'Sullivan, 2012. "False Discoveries in UK Mutual Fund Performance," European Financial Management, European Financial Management Association, vol. 18(3), pages 444-463, June.
    18. Lee, Charles & Shleifer, Andrei & Thaler, Richard H, 1990. "Anomalies: Closed-End Mutual Funds," Scholarly Articles 33077904, Harvard University Department of Economics.
    19. Guercio, Diane Del & Tkac, Paula A., 2008. "Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 907-936, December.
    20. Wagner, Niklas & Winter, Elisabeth, 2013. "A new family of equity style indices and mutual fund performance: Do liquidity and idiosyncratic risk matter?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 69-85.
    21. Elyas Elyasiani & Jingyi Jia, 2011. "Performance persistence of closed-end funds," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 381-408, October.
    22. Capocci, Daniel & Hubner, Georges, 2004. "Analysis of hedge fund performance," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 55-89, January.
    23. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1990. "Closed-End Mutual Funds," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 153-164, Fall.
    24. Eugene F. Fama & Kenneth R. French, 2010. "Luck versus Skill in the Cross‐Section of Mutual Fund Returns," Journal of Finance, American Finance Association, vol. 65(5), pages 1915-1947, October.
    25. John D. Storey, 2002. "A direct approach to false discovery rates," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(3), pages 479-498, August.
    26. Cremers, Martijn & Petajisto, Antti & Zitzewitz, Eric, 2013. "Should Benchmark Indices Have Alpha? Revisiting Performance Evaluation," Critical Finance Review, now publishers, vol. 2(1), pages 1-48, July.
    27. David Blake & Allan Timmermann, 1998. "Mutual Fund Performance: Evidence from the UK," Review of Finance, European Finance Association, vol. 2(1), pages 57-77.
    28. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock‐Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1695, August.
    29. Elton, Edwin J, et al, 1993. "Efficiency with Costly Information: A Reinterpretation of Evidence from Managed Portfolios," The Review of Financial Studies, Society for Financial Studies, vol. 6(1), pages 1-22.
    30. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    31. John D. Storey & Jonathan E. Taylor & David Siegmund, 2004. "Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(1), pages 187-205, February.
    32. Malkiel, Burton G, 1995. "Returns from Investing in Equity Mutual Funds 1971 to 1991," Journal of Finance, American Finance Association, vol. 50(2), pages 549-572, June.
    33. Gordon Gemmill & Dylan C. Thomas, 2002. "Noise Trading, Costly Arbitrage, and Asset Prices: Evidence from Closed‐end Funds," Journal of Finance, American Finance Association, vol. 57(6), pages 2571-2594, December.
    34. Joseph Chen & Harrison Hong & Ming Huang & Jeffrey D. Kubik, 2004. "Does Fund Size Erode Mutual Fund Performance? The Role of Liquidity and Organization," American Economic Review, American Economic Association, vol. 94(5), pages 1276-1302, December.
    35. Ivkovic, Zoran & Weisbenner, Scott, 2009. "Individual investor mutual fund flows," Journal of Financial Economics, Elsevier, vol. 92(2), pages 223-237, May.
    36. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    37. Fletcher, Jonathan, 1997. "An Examination of UK Unit Trust Performance within the Arbitrage Pricing Theory Framework," Review of Quantitative Finance and Accounting, Springer, vol. 8(2), pages 91-107, March.
    38. Khorana, Ajay, 1996. "Top management turnover An empirical investigation of mutual fund managers," Journal of Financial Economics, Elsevier, vol. 40(3), pages 403-427, March.
    39. Martina Bers & Jeff Madura, 2000. "Why Does Performance Persistence Vary Among Closed-End Funds?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 17(2), pages 127-147, August.
    40. Bangassa, Kenbata & Su, Chen & Joseph, Nathan L., 2012. "Selectivity and timing performance of UK investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1149-1175.
    41. Joshua M. Pollet & Mungo Wilson, 2008. "How Does Size Affect Mutual Fund Behavior?," Journal of Finance, American Finance Association, vol. 63(6), pages 2941-2969, December.
    42. Sensoy, Berk A., 2009. "Performance evaluation and self-designated benchmark indexes in the mutual fund industry," Journal of Financial Economics, Elsevier, vol. 92(1), pages 25-39, April.
    43. Bers, Martina K & Madura, Jeff, 2000. "The Performance Persistence of Closed-End Funds," The Financial Review, Eastern Finance Association, vol. 35(3), pages 33-51, August.
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    More about this item

    Keywords

    Closed-end funds; Performance; False discovery rate;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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