Getting the Most out of Macroeconomic Information for Predicting Stock Returns

43 Pages Posted: 13 Apr 2016

See all articles by Cem Cakmakli

Cem Cakmakli

Koc University - Department of Economics

Dick J. C. van Dijk

Erasmus University Rotterdam - Erasmus School of Economics - Econometric Institute; ERIM

Date Written: September 1, 2015

Abstract

This paper documents the fact that the factors extracted from a large set of macroeconomic variables contain information that can be useful for predicting monthly US excess stock returns over the period 1975 – 2014. Factor-augmented predictive regression models improve upon benchmark models that include only valuation ratios and interest rate related variables, and possibly individual macro variables, as well as the historical average excess return. The improvements in out-of-sample forecast accuracy are significant, both statistically and economically. The factor-augmented predictive regressions have superior market timing abilities, such that a mean–variance investor would be willing to pay an annual performance fee of several hundreds of basis points to switch from the predictions offered by the benchmark models to those of the factor-augmented models. One important reason for the superior performance of the factor-augmented predictive regressions is the stability of their forecast accuracy, whereas the benchmark models suffer from a forecast breakdown during the 1990s.

Keywords: return predictability, model uncertainty, dynamic factor models, variable selection

JEL Classification: C22, C53, G11, G12

Suggested Citation

Cakmakli, Cem and van Dijk, Dick J.C., Getting the Most out of Macroeconomic Information for Predicting Stock Returns (September 1, 2015). Available at SSRN: https://ssrn.com/abstract=2761372 or http://dx.doi.org/10.2139/ssrn.2761372

Cem Cakmakli (Contact Author)

Koc University - Department of Economics ( email )

Rumeli Feneri Yolu
Sariyer 80910, Istanbul
Turkey

Dick J.C. Van Dijk

Erasmus University Rotterdam - Erasmus School of Economics - Econometric Institute

P.O. Box 1738
3000 DR Rotterdam
Netherlands

ERIM ( email )

P.O. Box 1738
3000 DR Rotterdam
Netherlands
+31 10 408 1263 (Phone)
+31 10 4089162 (Fax)

HOME PAGE: http://people.few.eur.nl/djvandijk

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