IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v29y2016i1p148-192..html
   My bibliography  Save this article

Wage Rigidity: A Quantitative Solution to Several Asset Pricing Puzzles

Author

Listed:
  • Jack Favilukis
  • Xiaoji Lin

Abstract

In standard production models, wage volatility is far too high, and equity volatility is far too low. A simple modification–sticky wages because of infrequent resetting together with a constant elasticity of substitution (CES) production function leads to both smoother wages and higher equity volatility. Further, the model produces several other hard-to-explain features of financial data: high Sharpe ratios, low and smooth interest rates, time-varying equity volatility and premium, a value premium, and a downward-sloping equity term structure. Procyclical, volatile wages are a hedge for firms in standard models; smoother wages act like operating leverage, making profits and dividends riskier. Received July 30, 2013; accepted July 6, 2015 by Editor Geert Bekaert.

Suggested Citation

  • Jack Favilukis & Xiaoji Lin, 2016. "Wage Rigidity: A Quantitative Solution to Several Asset Pricing Puzzles," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 148-192.
  • Handle: RePEc:oup:rfinst:v:29:y:2016:i:1:p:148-192.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhv041
    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.

    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:oup:rfinst:v:29:y:2016:i:1:p:148-192.. 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/sfsssea.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.