IDEAS home Printed from https://ideas.repec.org/p/lvl/laeccr/9519.html
   My bibliography  Save this paper

Canadian Excess Returns and State-Dependent Risk Aversion

Author

Listed:
  • ST-AMOUR, Pascal

Abstract

A discrete-time asset pricing model is developed for the situation where the representative agent has state-dependent risk aversion. The limiting continuous-time case is obtained and contrasted with Breeden's (1979) consumption-based capital asset pricing model. The essential feature is the presence of an additional `concavity risk', which supplements the usual consumption risk. The implication is that consumption covariance is no longer forced to account for the entire observed premia, which can therefore be replicated at lower levels of risk aversion. Using Canadian wealth data compiled by Macklem (1994), as well as a leading indicator proxy for state variables, the model is estimated using TSE-300 data, based on the exact likelihood parameterisation for continuous-time models. Results reveal a counter-cyclical pattern to risk aversion, and a mean value well within what is considered as reasonable range.

Suggested Citation

  • ST-AMOUR, Pascal, 1995. "Canadian Excess Returns and State-Dependent Risk Aversion," Cahiers de recherche 9519, Université Laval - Département d'économique.
  • Handle: RePEc:lvl:laeccr:9519
    as

    Download full text from publisher

    File URL: http://www.ecn.ulaval.ca/w3/recherche/cahiers/1995/9519.ps
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:lvl:laeccr:9519. 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: Manuel Paradis (email available below). General contact details of provider: https://edirc.repec.org/data/delvlca.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.