IDEAS home Printed from https://ideas.repec.org/a/oup/jfinec/v15y2017i2p302-330..html
   My bibliography  Save this article

Mutual Funds Dynamics and Economic Predictors

Author

Listed:
  • Gianni Amisano
  • Roberto Savona

Abstract

Suppose a fund manager uses predictors in changing portfolio allocations over time. How does predictability translate into portfolio decisions? To answer this question, we derive a new Bayesian time-varying CAPM-based beta model, where managers modulate the systematic risk in part by observing how the benchmark returns are related to some set of imperfect predictors, and in part reflecting their own information set. Based on single and equally weighted portfolios of U.S. domestic equity mutual funds over the 1990–2014 period, we estimate our model providing new evidence on mutual fund dynamics: (1) beta dynamics are significantly affected by economic variables, although (2) managers seem not to care about benchmark sensitivities toward predictors in choosing their instrument exposure; and (3) instruments play a key role on the long run.

Suggested Citation

  • Gianni Amisano & Roberto Savona, 2017. "Mutual Funds Dynamics and Economic Predictors," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 302-330.
  • Handle: RePEc:oup:jfinec:v:15:y:2017:i:2:p:302-330.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jjfinec/nbx001
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lambert, Marie & Platania, Federico, 2020. "The macroeconomic drivers in hedge fund beta management," Economic Modelling, Elsevier, vol. 91(C), pages 65-80.
    2. Dragomirescu-Gaina, Catalin & Philippas, Dionisis & Tsionas, Mike G., 2021. "Trading off accuracy for speed: Hedge funds' decision-making under uncertainty," International Review of Financial Analysis, Elsevier, vol. 75(C).

    More about this item

    Keywords

    Bayesian analysis; conditional asset pricing models; equity mutual funds; structural VARs; time-varying beta;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

    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:oup:jfinec:v:15:y:2017:i:2:p:302-330.. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sofieea.html .

    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.