IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Ambiguity and the historical equity premium

  • Fabrice Collard

    ()

    (Department of Economics - University of Bern - University of Bern)

  • Sujoy Mukerji

    ()

    (Department of Economics and University College - University of Oxford)

  • Kevin Sheppard

    ()

    (Department of Economics and Oxford-Man Institute of Quantitative Finance - University of Oxford)

  • Jean-Marc Tallon

    ()

    (CES - Centre d'économie de la Sorbonne - CNRS : UMR8174 - Université Paris I - Panthéon-Sorbonne, EEP-PSE - Ecole d'Économie de Paris - Paris School of Economics - Ecole d'Économie de Paris)

This paper assesses the quantitative impact of ambiguity on the historically observed financial asset returns and prices. The single agent, in a dynamic exchange economy, treats uncertainty about the conditional mean of the probability distribution on consumption and dividends in the next period as ambiguous, an ambiguity that is endogenously dynamic, e.g., increasing during recessions. We calibrate ambiguity aversion to match only the first moment of the risk-free rate in data and, importantly, the (conditional) ambiguity to match the uncertainty conditional on the actual history of macroeconomic growth outcomes. The model matches observed asset return dynamics very substantially.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://halshs.archives-ouvertes.fr/docs/00/73/86/08/PDF/11032-2.pdf
Download Restriction: no

Paper provided by HAL in its series Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) with number halshs-00594096.

as
in new window

Length:
Date of creation: May 2011
Date of revision:
Handle: RePEc:hal:cesptp:halshs-00594096
Note: View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00594096
Contact details of provider: Web page: http://hal.archives-ouvertes.fr/

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Fernández-Villaverde, Jesús & Rubio-Ramírez, Juan Francisco, 2010. "Macroeconomics and Volatility: Data, Models, and Estimation," CEPR Discussion Papers 8169, C.E.P.R. Discussion Papers.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:hal:cesptp:halshs-00594096. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.