Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This article presents a mean-variance framework for likelihood- ratio tests of asset pricing models. A pricing model is tested by examining the position of one or more reference portfolios in sample mean-standard-deviation space. Included are tests of both single-beta and multiple-beta relations, with or without a riskless asset, using either a general or a specific alternative hypothesis. Tests with a factor that is not a portfolio return are also included. The mean-variance framework is illustrated by testing the zero-beta CAPM, a two- beta pricing model, and the consumption-beta model. Article published by Oxford University Press on behalf of the Society for Financial Studies in its journal, The Review of Financial Studies.