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Performance evaluation of Portuguese mutual fund portfolios using the value-based DEA method

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  • Maria do Castelo Gouveia
  • Elisabete Duarte Neves
  • Luís Cândido Dias
  • Carlos Henggeler Antunes

Abstract

The increased volatility in capital markets since the outbreak of the 2008 global financial crisis and the investor’s lack of confidence in the banking sector represented significant challenges to portfolio fund managers. The current study assesses the performance of Portuguese mutual fund portfolios considering the period 2007–2014 using the value-based DEA method. This approach combines data envelopment analysis (DEA) with multiple criteria decision aiding. A dynamic evaluation including value judgements is carried out using data from 15 Portuguese equity funds. The results unveil the impact of the global crisis in the Portuguese investment funds industry. They show that Portuguese investment funds performed better between 2011 and 2013; this suggests that equity funds investors became more confident in these vehicles due to political measures reinforcing financial markets. The methodology followed in this study contributes to help investors in the identification of the funds with the best practices according to their judgments.

Suggested Citation

  • Maria do Castelo Gouveia & Elisabete Duarte Neves & Luís Cândido Dias & Carlos Henggeler Antunes, 2018. "Performance evaluation of Portuguese mutual fund portfolios using the value-based DEA method," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(10), pages 1628-1639, October.
    • Handle: RePEc:taf:tjorxx:v:69:y:2018:i:10:p:1628-1639
    DOI: 10.1057/s41274-017-0259-7
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    Cited by:

    1. Dimitris Andriosopoulos & Michalis Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1581-1599, October.
    2. Lin, Boqiang & Wang, Miao, 2021. "What drives energy intensity fall in China? Evidence from a meta-frontier approach," Applied Energy, Elsevier, vol. 281(C).
    3. Jin Yuan & Xianghui Yuan, 2023. "A Comprehensive Method for Ranking Mutual Fund Performance," SAGE Open, , vol. 13(2), pages 21582440231, May.
    4. Henriques, C.O. & Gouveia, C.M. & Tenente, M. & da Silva, P.P., 2022. "Employing Value-Based DEA in the eco-efficiency assessment of the electricity sector," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 826-844.
    5. Henriques, C.O. & Gouveia, M.C., 2022. "Assessing the impact of COVID-19 on the efficiency of Portuguese state-owned enterprise hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Henriques, C.O. & Chavez, J.M. & Gouveia, M.C. & Marcenaro-Gutierrez, O.D., 2022. "Efficiency of secondary schools in Ecuador: A value based DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    7. Catarina Alexandra Neves Proença & Maria Elisabete Duarte Neves & Maria Castelo Baptista Gouveia & Mara Teresa Silva Madaleno, 2023. "Technological, healthcare and consumer funds efficiency: influence of COVID-19," Operational Research, Springer, vol. 23(2), pages 1-42, June.
    8. Lin, Ruiyue & Liu, Qian, 2021. "Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1043-1057.

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