IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v2y2012i2f2_2_7.html
   My bibliography  Save this article

The Equity Premium Puzzle: Pitfalls in Estimating the Coefficient of Relative Risk Aversion

Author

Listed:
  • Michael Donadelli
  • Lorenzo Prosperi

Abstract

Standard consumption-based models typically fail in pricing asset returns. In a famous seminal paper, Mehra and Prescott (1985), using a standard consumption model, prove the presence of a puzzle (i.e. equity premium puzzle). The recent financial literature still has to provide a convincing resolution to the well known puzzle. In contrast to this literature, which mainly focuses on the United States data, our paper simply replicates the closed form solution estimation, as in Mehra (2003), for a bunch of developed and emerging markets. On one side, our estimations confirm the existence of the puzzle and lead to bizarre values of the coefficient of relative risk aversion. On the other side, we claim that the key consumption model assumptions, the choice of a proper riskless asset and the lack of data, generate obstacles in finding robustness in the estimations of the CRRA coefficients, both in developed and emerging markets.

Suggested Citation

  • Michael Donadelli & Lorenzo Prosperi, 2012. "The Equity Premium Puzzle: Pitfalls in Estimating the Coefficient of Relative Risk Aversion," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(2), pages 1-7.
    • Handle: RePEc:spt:apfiba:v:2:y:2012:i:2:f:2_2_7
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%202_2_7.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rishma Vedd & Paul Lazarony, 2014. "The Risk-Return Trade-Off Of Investing In Latin American Emerging Stock Markets," Accounting & Taxation, The Institute for Business and Finance Research, vol. 6(1), pages 93-104.
    2. Curatola, Giuliano & Donadelli, Michael & Grüning, Patrick, 2015. "Matching the BRIC equity premium: A structural approach," Emerging Markets Review, Elsevier, vol. 22(C), pages 65-75.
    3. Michael Donadelli & Marcella Lucchetta, 2013. "Emerging Stock Premia: Some Evidence From Industrial Stock Market Data," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(4), pages 398-422, April.
    4. Othieno, Ferdinand & Biekpe, Nicholas, 2019. "Estimating the conditional equity risk premium in African frontier markets," Research in International Business and Finance, Elsevier, vol. 47(C), pages 538-551.

    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:spt:apfiba:v:2:y:2012:i:2:f:2_2_7. 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: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    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.