Time-Varying Betas and Cross-Sectional Return-Risk Relation: Evidence from the UK
The seminal study by Fama and MacBeth (1973) initiated a stream of papers testing for the cross-sectional relation between return and risk. The debate wether beta is a valid measure of risk has been renimated by Fama and French (1992) and subsequent studies. Rather than focusing on exogenous variables that have a larger explanatory power than an asset's beta in cross sectional tests, we assume the matrix of variances-covariances to follow a time varying ARCH process. Using monthly data from the UK market from February 1975 to December 1996, we compare the cross sectional return-risk relations obtained with an unconditional specification for asset's betas to those obtained when the estimated betas are based on an ARCH model. We also investigate the Pettengill, Sundaram and Mathure (1995) approach, which allows a negative cross sectional return-risk relation in periods in which the market portfolio yields a negative return relative to the risk free rate. These tests are also carried out on samples pertaining to a specific month and on samples from which a particular month is removed. Our result suggest that CAPM holds in downward moving markets than in upward moving markets hence beta is a more appropriate measure of risk in bear markets.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||2000|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (+ 41 22) 705-8263
Fax: (+ 41 22) 705-8293
Web page: http://www.unige.ch/gsem/Email:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:ehecge:2000.03. 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: (Thomas Krichel)
If references are entirely missing, you can add them using this form.