Main Article Content

Fernando Lopes
School of Management, Polytechnic Institute of Cávado and Ave, Campus do IPCA, 4750-180 Barcelos, Portugal
Portugal
https://orcid.org/0000-0003-0795-5929
Paulo Leite
Polytechnic Institute of Cávado and Ave
Portugal
https://orcid.org/0000-0002-2010-8890
Maria Carmo Correia
Polytechnic Institute of Cávado and Ave
Portugal
https://orcid.org/0000-0002-9166-398X
Pablo Durán-Santomil
Department of Finance and Accounting, Economics Faculty, Universidade de Santiago de Compostela, Avda. Burgo de las Naciones, 15704 Santiago de Compostela, Spain
Spain
https://orcid.org/0000-0002-8231-6425
Vol 32 No 3 (2023), Articles, pages 1-17
DOI: https://doi.org/10.15304/rge.32.3.9140
Submitted: 13-04-2023 Accepted: 14-07-2023 Published: 09-10-2023
Copyright How to Cite

Abstract

Most mutual fund performance evaluation studies interpret fund alphas as the incremental performance of managers in relation to passive benchmark indices, which should exhibit statistically insignificant alphas. However, if these indices present significant non-zero alphas, standard (non-adjusted) fund alphas are biased. This paper investigates the impact of using benchmark-adjusted alphas to assess the performance of Portuguese-based mutual funds, investing in domestic and European equities. For the period 2000-2020, our results show that fund benchmarks exhibit significantly negative alphas, which lead to an underestimation of mutual fund performance when employing standard models. As a result, benchmark-adjusted alphas are significantly higher than unadjusted alphas for both fund categories, though the differences are larger for domestic than for European funds. We have also found that the impact of the benchmark-adjustment procedure depends on the state of markets. The domestic (European) benchmark exhibits considerably lower (higher) alphas during crisis than during non-crisis periods. During market crises, the differences between pre- and post-adjustment alphas are statistically significant only for domestic funds, whereas during non-crisis periods, both fund categories exhibit significant performance improvements. Our findings suggest that the benchmark-adjustment procedure has a higher impact when benchmark indices exhibit higher concentration.

Cited by

Article Details

References

Alves, C., & Mendes, V. (2007). Are mutual fund investors in jail? Applied Financial Economics, 17(16), 1-12. http://dx.doi.org/10.1080/09603100600970073

Angelidis, T., Giamouridis, D., & Tessaromatis, N. (2013). Revisiting mutual fund performance evaluation. Journal of Banking & Finance, 37(5), 1759-1776. https://doi.org/10.1016/j.jbankfin.2013.01.006

Bauer, R., Otten, R., & Rad, A.T. (2006). New Zealand mutual funds: measuring performance and persistence in performance. Accounting and Finance, 46(3), 347-363. https://doi.org/10.1111/j.1467-629X.2006.00171.x

Carhart, M. (1997). On Persistence in Mutual Fund Performance. Journal of Finance, 52(1), 57-82. https://doi.org/10.1111/j.1540-6261.1997.tb03808.x

Chinthalapati, V., Mateus, C., & Todorovic, N. (2017). Alphas in disguise: A new approach to uncovering them. International Journal of Finance & Economics, 22(5), 234-243. https://doi.org/10.1002/ijfe.1581

Cremers, M., Petajisto, A., & Zitzewitz, E. (2013). Should benchmark indices have alpha? Revisiting performance evaluation). Critical Finance Review, 2(1), 1-48. http://dx.doi.org/10.1561/104.00000007

Cuthbertson, K., Nitzsche, D., & O'Sullivan, N. (2022). Mutual fund performance persistence: Factor models and portfolio size. International Review of Financial Analysis, 81, 102133. https://doi.org/10.1016/j.irfa.2022.102133

European Fund and Asset Management Association (EFAMA). (2021). Asset Management

Report 2020. Retrieved from https://www.efama.org/newsroom/news/efama-asset-management-report-2022, accessed 06 March 2023.

Fama, E., & French, K. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3-56. https://doi.org/10.1016/0304-405X(93)90023-5

Fama, E., & French, K. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1-22. https://doi.org/10.1016/j.jfineco.2014.10.010

Fama, E., & French, K. (2018). Choosing factors. Journal of Financial Economics, 128(2), 234-252. https://doi.org/10.1016/j.jfineco.2018.02.012

Jensen, M. (1968). The Performance of Mutual Funds in the Period 1945-1964. Journal of Finance, 23(2), 389-416. https://doi.org/10.1111/j.1540-6261.1968.tb00815.x

Leite, P., & Cortez, M.C. (2009). Conditioning information in mutual fund performance evaluation: Portuguese evidence. European Journal of Finance, 15(5-6), 585-605. https://doi.org/10.1080/13518470802697378

Leite, P., & Cortez, M.C. (2015). Performance of European Socially Responsible Funds during Market Crises: Evidence from France. International Review of Financial Analysis, 40, 132-141. https://doi.org/10.1016/j.irfa.2015.05.012

Leite, P., & Cortez, M. (2020). Investment and profitability factors in mutual fund performance evaluation: a conditional approach. Applied Economics Letters, 27(16), 1312-1315. https://doi.org/10.1080/13504851.2019.1678723

Mateus, I., Mateus, C., & Todorovic, N. (2016). UK equity mutual fund alphas make a comeback. International Review of Financial Analysis, 44, 98-110. https://doi.org/10.1016/j.irfa.2016.01.004

Mateus, I., Mateus, C., & Todorovic, N. (2019a). Benchmark-adjusted performance of US equity mutual funds and the issue of prospectus benchmarks. Journal of Asset Management, 20, 15-30. https://doi.org/10.1057/s41260-018-0101-z

Mateus, I. B., Mateus, C., & Todorovic, N. (2019b). Review of new trends in the literature on factor models and mutual fund performance. International Review of Financial Analysis, 63, 344-354. https://doi.org/10.1016/j.irfa.2018.12.012

Neto, N., Lobão, J., & Vieira, E. (2017). Do Portuguese mutual funds display forecasting skills? A study on selectivity and market timing ability. Studies in Economics and Finance, 34(4), 597-631. https://doi.org/10.1108/SEF-09-2015-0233

Pagan, A., & Sossounov, K. (2003). A simple framework for analysing bull and bear markets. Journal of Applied Econometrics, 18(1), 23-46. https://doi.org/10.1002/jae.664

Romacho, J., & Cortez, M.C. (2006). Timing and selectivity in Portuguese mutual fund performance. Research in International Business and Finance, 20(3), 348-368. https://doi.org/10.1016/j.ribaf.2005.05.005

Sharpe, W. (1966). Mutual Fund Performance. Journal of Business, 39, 119-138. http://dx.doi.org/10.1086/294846

Treynor, J. (1965). How to rate Management of Investments Funds. Harvard Business Review, 43(1), 63-75. ISSN: 0017-8012

Wang, W., Su, C., & Duxbury, D. (2022). The conditional impact of investor sentiment in global stock markets: A two-channel examination. Journal of Banking & Finance, 138(C), 106458. https://doi.org/10.1016/j.jbankfin.2022.106458

Xu, Y., Liang, C., & Wang, J. (2023). Financial stress and returns predictability: Fresh evidence from China. Pacific-Basin Finance Journal, 78, 101980. https://doi.org/10.1016/j.pacfin.2023.101980