Article contents
Abstract: The Forecast Error Impact of Alternative Length Beta Estimation Periods, Adjustment Techniques, and Risk Classes
Published online by Cambridge University Press: 19 October 2009
Extract
This paper examines empirically the relationship among the stability of security and portfolio betas and (1) the length of the sample period used to calculate betas, (2) beta adjustment techniques, and (3) beta magnitudes. Beta values are forecast using four models: (1) a naive model which assumes the beta value in period t + 1 is the same as in period t, (2) Blume's regression model, (3) a regression model used by Merrill Lynch, Pierce, Fenner and Smith, and (4) a Bayesian procedure suggested by Vasicek.
- Type
- Abstracts of Conference Papers: Estimation Risk and Investment Strategies
- Information
- Copyright
- Copyright © School of Business Administration, University of Washington 1977
- 1
- Cited by