IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v18y2008i16p1319-1331.html
   My bibliography  Save this article

Do Spanish mutual fund managers use public and private information correctly? Use of information in mutual fund management

Author

Listed:
  • Luis Ferruz
  • Javier Nievas
  • Maria Vargas

Abstract

In this work, we evaluate the use of public and private information by Spanish fund managers by means of an analysis of their traditional and conditional performance. Furthermore, we repeat this analysis for various fund subsets compiling their different characteristics, which allows us to determine the impact of diverse effects on performance. In addition, we restrict this analysis to the fund subset for which public information variables show a high predictive power. Prior to the model application, we develop an analysis of the integration order of variables and of multi-collinearity to assure models work well.

Suggested Citation

  • Luis Ferruz & Javier Nievas & Maria Vargas, 2008. "Do Spanish mutual fund managers use public and private information correctly? Use of information in mutual fund management," Applied Financial Economics, Taylor & Francis Journals, vol. 18(16), pages 1319-1331.
    • Handle: RePEc:taf:apfiec:v:18:y:2008:i:16:p:1319-1331
    DOI: 10.1080/09603100701704306
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100701704306
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603100701704306?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Adrian, Tobias & Franzoni, Francesco, 2009. "Learning about beta: Time-varying factor loadings, expected returns, and the conditional CAPM," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 537-556, September.
    2. Kenbata Bangassa, 2000. "Conditional Performance Evaluation: Empirical Evidence From UK Investment Trusts," Working Papers 2000_21, University of Liverpool, Department of Economics.
    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. Onour , Ibrahim A., 2021. "Modeling and assessing systematic risk in stock markets in major oil exporting countries," Economic Consultant, Roman I. Ostapenko, vol. 35(3), pages 18-29.
    2. Richard T. Baillie & Fabio Calonaci & George Kapetanios, 2019. "Hierarchical Time Varying Estimation of a Multi Factor Asset Pricing Model," Working Papers 879, Queen Mary University of London, School of Economics and Finance.
    3. Wagner, Alexander F. & Schrimpf, Paul & Schmidt, Peter S. & von Arx, Urs & Ziegler, Andreas, 2015. "Size and Momentum Profitability in International Stock Markets," CEPR Discussion Papers 10804, C.E.P.R. Discussion Papers.
    4. Bai, Ye & Green, Christopher J., 2020. "Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets," Economic Modelling, Elsevier, vol. 92(C), pages 180-194.
    5. Wallmeier, Martin & Tauscher, Kathrin, 2012. "A Note on the Impact of Portfolio Overlapping in Tests of the Fama and French Three-Factor Model," FSES Working Papers 433, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    6. George Halkos & Argyro Zisiadou, 2020. "Is Investors’ Psychology Affected Due to a Potential Unexpected Environmental Disaster?," JRFM, MDPI, vol. 13(7), pages 1-24, July.
    7. Davinder K. Malhotra & Tim Mooney & Raymond Poteau & Philip Russel, 2023. "Assessing the Performance and Risk-Adjusted Returns of Financial Mutual Funds," IJFS, MDPI, vol. 11(4), pages 1-17, November.
    8. Paul John Marcel Klumpes, 2024. "Pension Risk and the Sustainable Cost of Capital," JRFM, MDPI, vol. 17(12), pages 1-29, November.
    9. Flori, Andrea & Regoli, Daniele, 2021. "Revealing Pairs-trading opportunities with long short-term memory networks," European Journal of Operational Research, Elsevier, vol. 295(2), pages 772-791.
    10. Niccolò Comerio & Fausto Pacicco & Massimiliano Serati, 2024. "“Fly down”: the impact of new accounting standards on the airline industry risk assessment," Empirical Economics, Springer, vol. 67(5), pages 2109-2133, November.
    11. Ang, Andrew & Chen, Joseph, 2007. "CAPM over the long run: 1926-2001," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 1-40, January.
    12. Ortas, E. & Salvador, M. & Moneva, J.M., 2015. "Improved beta modeling and forecasting: An unobserved component approach with conditional heteroscedastic disturbances," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 27-51.
    13. Donggyu Kim & Minseog Oh & Yazhen Wang, 2024. "Robust Realized Integrated Beta Estimator with Application to Dynamic Analysis of Integrated Beta," Working Papers 202422, University of California at Riverside, Department of Economics.
    14. Vendrame, Vasco & Guermat, Cherif & Tucker, Jon, 2018. "A conditional regime switching CAPM," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 1-11.
    15. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2013. "Time-varying beta: a boundedly rational equilibrium approach," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 609-639, July.
    16. Lewellen, Jonathan & Nagel, Stefan, 2006. "The conditional CAPM does not explain asset-pricing anomalies," Journal of Financial Economics, Elsevier, vol. 82(2), pages 289-314, November.
    17. Fernando D. Chague, 2013. "Conditional Betas and Investor Uncertainty," Working Papers, Department of Economics 2013_04, University of São Paulo (FEA-USP).
    18. Suthawan Prukumpai, 2015. "Time-varying Industrial Portfolio Betas under the Regime-switching Model: Evidence from the Stock Exchange of Thailand," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 22(2), pages 54-76, December.
    19. Azamat Abdymomunov & James Morley, 2011. "Time variation of CAPM betas across market volatility regimes," Applied Financial Economics, Taylor & Francis Journals, vol. 21(19), pages 1463-1478.
    20. He, Zhongzhi (Lawrence) & Kryzanowski, Lawrence, 2008. "Dynamic betas for Canadian sector portfolios," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1110-1122, December.

    More about this item

    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:taf:apfiec:v:18:y:2008:i:16:p:1319-1331. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.