IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01369862.html
   My bibliography  Save this paper

Is the Rating Given to a European Mutual Fund a Good Indicator of Its Future Performance?

Author

Listed:
  • Vincent Fromentin

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Christine Louargant

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

Abstract

The objective of this paper is to investigate whether the rating of a fund is a determinant of its future performance. This study focuses on the Fundclass ratings for a sample of 1,452 EU funds with a similar style of management for the period 2003–12 (a period marked by economic crisis). By using the methodology of non-stationary panel data, we simultaneously assess the long- and short-term relationship between fund performance and scoring, using a vector error correction model. Our results conclude that there is a positive relationship between these two variables over time. Nevertheless, in the short term, this relationship is only valid for the period 2007–12, especially for funds with a good rating.

Suggested Citation

  • Vincent Fromentin & Christine Louargant, 2014. "Is the Rating Given to a European Mutual Fund a Good Indicator of Its Future Performance?," Post-Print hal-01369862, HAL.
    • Handle: RePEc:hal:journl:hal-01369862
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    2. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October.
    3. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    4. Blake, Christopher R. & Morey, Matthew R., 2000. "Morningstar Ratings and Mutual Fund Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(3), pages 451-483, September.
    5. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    6. Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009. "Panel cointegration with global stochastic trends," Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
    7. 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.
    8. Prem C. Jain & Joanna Shuang Wu, 2000. "Truth in Mutual Fund Advertising: Evidence on Future Performance and Fund Flows," Journal of Finance, American Finance Association, vol. 55(2), pages 937-958, April.
    9. Bar-Isaac, Heski & Shapiro, Joel, 2013. "Ratings quality over the business cycle," Journal of Financial Economics, Elsevier, vol. 108(1), pages 62-78.
    10. Rablen, Matthew D., 2013. "Divergence in credit ratings," Finance Research Letters, Elsevier, vol. 10(1), pages 12-16.
    11. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    12. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cecilio R. Tamarit Escalona & Estrella Gómez, 2011. "The euro effect on trade: evidence in gravity equations using panel cointegration techniques," Working Papers. Serie EC 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. El-Shazly, Alaa, 2013. "Electricity demand analysis and forecasting: A panel cointegration approach," Energy Economics, Elsevier, vol. 40(C), pages 251-258.
    3. Breitung, Jörg & Pesaran, Mohammad Hashem, 2005. "Unit roots and cointegration in panels," Discussion Paper Series 1: Economic Studies 2005,42, Deutsche Bundesbank.
    4. Robert Kelm, 2022. "Determinants of the VAT Gap in EU Member States from 2000 to 2016," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 14(4), pages 225-262, December.
    5. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    6. In Choi, 2013. "Panel Cointegration," Working Papers 1208, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    7. Wagner, Martin, 2008. "The carbon Kuznets curve: A cloudy picture emitted by bad econometrics?," Resource and Energy Economics, Elsevier, vol. 30(3), pages 388-408, August.
    8. Jean Vasile Andrei & Mihai Mieila & Mirela Panait, 2017. "The impact and determinants of the energy paradigm on economic growth in European Union," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.
    9. Declan French, 2012. "Causation between health and income: a need to panic," Empirical Economics, Springer, vol. 42(2), pages 583-601, April.
    10. Oliver Hossfeld, 2010. "Equilibrium Real Effective Exchange Rates and Real Exchange Rate Misalignments: Time Series vs. Panel Estimates," FIW Working Paper series 065, FIW.
    11. Tiba, Sofien & Frikha, Mohamed, 2019. "The controversy of the resource curse and the environment in the SDGs background: The African context," Resources Policy, Elsevier, vol. 62(C), pages 437-452.
    12. Mirza, Faisal Mehmood & Sinha, Avik & Khan, Javeria Rehman & Kalugina, Olga A. & Zafar, Muhammad Wasif, 2022. "Impact of Energy Efficiency on CO2 Emissions: Empirical Evidence from Developing Countries," MPRA Paper 111923, University Library of Munich, Germany, revised 2022.
    13. Ai, Hongshan & Guan, Mengmeng & Feng, Wei & Li, Ke, 2021. "Influence of classified coal consumption on PM2.5 pollution: Analysis based on the panel cointegration and error-correction model," Energy, Elsevier, vol. 215(PA).
    14. Salifou Ouedraogo & Hamidou Sawadogo, 2022. "Financial development, financial structure and economic growth in the Sub‐Saharan African countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3139-3162, July.
    15. Dedeoğlu, Dinçer & Kaya, Hüseyin, 2013. "Energy use, exports, imports and GDP: New evidence from the OECD countries," Energy Policy, Elsevier, vol. 57(C), pages 469-476.
    16. Tayyab Raza Fraz, 2022. "Exploring the Relationship between Energy Consumption and Economic Growth in Lower Middle and High Income Economies using Panel data Techniques," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 50-56, May.
    17. Sofien Tiba & Mohamed Frikha, 2020. "Africa Is Rich, Africans Are Poor! A Blessing or Curse: An Application of Cointegration Techniques," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(1), pages 114-139, March.
    18. Farhani, Sahbi & Shahbaz, Muhammad & Sbia, Rashid & Chaibi, Anissa, 2014. "What does MENA region initially need: Grow output or mitigate CO2 emissions?," Economic Modelling, Elsevier, vol. 38(C), pages 270-281.
    19. Li, Ke & Lin, Boqiang, 2016. "Impact of energy technology patents in China: Evidence from a panel cointegration and error correction model," Energy Policy, Elsevier, vol. 89(C), pages 214-223.
    20. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.

    More about this item

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01369862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.