Do Analysts’ Earnings Per Share Forecasts Contain Valuable Information Beyond One Quarter? The Case of Publicly Traded Agribusiness Firms

Daniel Lewis, Mark Manfredo, Dwight R. Sanders and Winifred Scott

No 124480, 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington from Agricultural and Applied Economics Association

Abstract: Analysts’ forecasting of earnings per share for multiple quarter time horizons of eleven agribusiness companies is evaluated using a mean absolute scaled error and a direct test. Results illustrate that unique information is consistently found. Rational and efficient expectations are formed periodically. Analysts’ performance declines as the time horizon increases.

Keywords: Agribusiness; Agricultural Finance; Industrial Organization (search for similar items in EconPapers)
Pages: 2
Date: 2012-06-01
New Economics Papers: this item is included in nep-for
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/124480/files/P982.AAEA.2012.pdf (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:ags:aaea12:124480

DOI: 10.22004/ag.econ.124480

Access Statistics for this paper

More papers in 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().