Predicting Time-Varying Value Premium Using the Implied Cost of Capital

49 Pages Posted: 30 Oct 2012 Last revised: 3 Jul 2014

See all articles by Yan Li

Yan Li

Temple University - Fox School of Business and Management

David T. Ng

Johnson College of Business

Bhaskaran Swaminathan

LSV Asset Management

Date Written: July 2, 2014

Abstract

We estimate an implied value premium (IVP) using the implied cost of capital methodology. The implied value premium is the difference between the implied costs of capital of value stocks and growth stocks and is a direct estimate of the difference in expected returns between value stocks and growth stocks. We find that IVP is the best predictor of ex-post value premium during the 1977-2012 time period at horizons ranging from one month to 36 months in univariate and multivariate forecasting regression tests. At the 12-month horizon, IVP is able to explain 18% to 29% of the variation in the ex-post value premium. Other forecasting variables such as value spread, default spread, term spread, and consumption-to-wealth ratio do not fare as well. IVP strongly predicts the difference in cumulative abnormal returns around future quarterly earnings announcements of value and growth stocks, and its predictive power is stronger during periods of extreme mispricing. IVP is unable to predict future macroeconomic activity. Overall our results are supportive of mispricing as at least a partial explanation for the predictable time variation in value premium.

Keywords: Implied Value Premium, Implied Cost of Capital, Predictability, Value Spread, Term Spread, Default Spread, Risk and Mispricing

JEL Classification: G12

Suggested Citation

Li, Yan and Ng, David T. and Swaminathan, Bhaskaran, Predicting Time-Varying Value Premium Using the Implied Cost of Capital (July 2, 2014). Available at SSRN: https://ssrn.com/abstract=2168360 or http://dx.doi.org/10.2139/ssrn.2168360

Yan Li (Contact Author)

Temple University - Fox School of Business and Management ( email )

Philadelphia, PA 19122
United States

David T. Ng

Johnson College of Business ( email )

301G Warren Hall, Cornell University
Ithaca, NY 14850-1967
United States
6072550145 (Phone)

Bhaskaran Swaminathan

LSV Asset Management ( email )

155 North Wacker Drive
Chicago, IL 60606
United States

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