Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2009

Abstract

We demonstrate that stock price momentum and earnings momentum can result from uncertainty surrounding the accuracy of cash flow forecasts. Our model has multiple information sources issuing cash flow forecasts for a stock. The investor combines these forecasts into an aggregate cash flow estimate that has minimal mean-squared forecast error. This aggregate estimate weights each cash flow forecast by the estimated accuracy of its issuer, which is obtained from their past forecast errors. Momentum arises from the investor gradually learning about the relative accuracy of the information sources and updating their weights. Empirical tests validate the model's prediction of stronger momentum in stocks with large information weight fluctuations and high forecast dispersion. We also identify return predictability attributable to changes in the information weights.

Keywords

momentum, uncertainty, learning

Discipline

Portfolio and Security Analysis

Research Areas

Finance

Publication

Management Science

Volume

55

Issue

6

First Page

1035

Last Page

1046

ISSN

0025-1909

Identifier

10.1287/mnsc.1080.0992

Publisher

INFORMS

Comments

Published version made available in SMU repository with permission of INFORMS, 2014, February 28

Additional URL

https://doi.org/10.1287/mnsc.1080.0992

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