Graduation Year


Date of Submission


Document Type

Campus Only Senior Thesis

Degree Name

Bachelor of Arts



Reader 1

Eric Hughson

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© 2020 Alexander C Alsop

OCLC Record Number



There has been a considerable amount of literature on equity research analysts and their price targets, but much of it does not address how it could be used to generate alpha in a practical way. When the research does address accuracy, it does not consider that analyst’s bias and inaccuracy can be accounted for through an econometric model. This paper seeks to address these issues and determine whether there is information contained in analysts’ price targets that could be used to outperform the market. This paper employs an OLS regression model to determine if the analyst’s predicted alpha, implied through the price target, is a good predictor of realized alpha. The resulting power of the model is significantly stronger than that employed in previous research which used statistical models as the predictor rather than analyst price targets. There is also evidence that some analyst’s price targets contain more predictive power than others and some indication that this higher than average predicative power is persistent. This provides evidence that analyst price targets could be used in a portfolio construction model to outperform the S&P 500 on a risk-adjusted basis.

This thesis is restricted to the Claremont Colleges current faculty, students, and staff.