Forecast Accuracy Uncertainty and Momentum
Bing Han,
Dong Hong () and
Mitch Warachka ()
Additional contact information
Dong Hong: Lee Kong Chian School of Business, Singapore Management University, Singapore 178899, Singapore
Mitch Warachka: Lee Kong Chian School of Business, Singapore Management University, Singapore 178899, Singapore
Management Science, 2009, vol. 55, issue 6, 1035-1046
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 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.1080.0992 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:55:y:2009:i:6:p:1035-1046
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().