Is the Value Premium Predictable in Real Time?

27 Pages Posted: 18 Sep 2002

See all articles by Rob Bauer

Rob Bauer

Maastricht University

Roderick Molenaar

Robeco Asset Management

Date Written: August 2, 2002


In this paper we develop a trading strategy in which the difference in observed returns of value and growth stocks in the US stock market is exploited. In the literature this return spread is often called the "value premium". In our modeling process we use a procedure similar to the recursive modeling approach as proposed by Pesaran and Timmerman (1995). We first estimate a universe of parsimonious models in an in-sample setting using a base set of technical and economic forecasting variables. Subsequently, we generate out-of-sample forecasts in a rolling window framework for all models and evaluate the performance in a so-called model training period. This adjustment directly relates to the critique of Bossaerts and Hillion (1999), who showed the insufficiency of in-sample criteria to forecast out-of-sample information ratios. Model selection is based on three well-known selection criteria: hit ratio (% correct sign), the mean return of the strategy and the realized information ratio. Finally, we start implementing our investment strategy in a second stage out-of-sample period: the trading period. This model estimation and selection procedure enables us to address the issue whether we could have historically exploited the value/growth rotation strategy in a practical context. In the empirical section we show that it is possible to successfully forecast the time-varying value premium based on this strategy. Moreover, we observe that the set of relevant forecasting variables varies considerably through time.

Keywords: Value Premium, Style Rotation, Recursive Modeling, Model Selection

JEL Classification: C51, C52, C53, G11, G12, G15, G19

Suggested Citation

Bauer, Rob and Molenaar, Roderick, Is the Value Premium Predictable in Real Time? (August 2, 2002). Available at SSRN: or

Rob Bauer (Contact Author)

Maastricht University ( email )

P.O. Box 616
Maastricht, 6200 MD
+31 43 3883871 (Phone)

Roderick Molenaar

Robeco Asset Management ( email )

Weena 850
Rotterdam, 3014 DA

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Abstract Views
PlumX Metrics