A Temporal Analysis of Quarterly Earnings Thresholds: Propensities and Valuation Consequences

Applying a Burgstahler and Dichev (1997)/Degeorge et al. (1999) type methodology to quarterly data for the 1985-2002 time period, we show that, since the mid-1990s, but not before then, managers seek to avoid negative quarterly earnings surprises more than to avoid either quarterly losses or quarter...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Accounting review 2005-04, Vol.80 (2), p.423-440
Hauptverfasser: Brown, Lawrence D., Marcus L. Caylor
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Applying a Burgstahler and Dichev (1997)/Degeorge et al. (1999) type methodology to quarterly data for the 1985-2002 time period, we show that, since the mid-1990s, but not before then, managers seek to avoid negative quarterly earnings surprises more than to avoid either quarterly losses or quarterly earnings decreases. Our findings suggest that the quarterly earnings threshold hierarchy proposed by Degeorge et al. (1999) does not apply to recent years, and that managers' claim that avoiding quarterly earnings decreases is the threshold they most seek to achieve (Graham et al. 2004) is inconsistent with their actions. We provide an intuitively appealing economic rationale for why the shift in threshold hierarchy occurred; since the mid-1990s, but not before then, investors unambiguously rewarded (penalized) firms for reporting quarterly earnings meeting (missing) analysts' estimates more than they did for meeting (missing) the other two thresholds. We provide several explanations for why investors unambiguously reward firms for reporting quarterly earnings that meet or beat analysts' estimates more than for meeting the other two thresholds late (but not early) in our sample period: increased media coverage given to analyst forecasts, more analyst following, more firms covered by analysts, and temporal increases in both the accuracy and precision of analyst forecasts.
ISSN:0001-4826
1558-7967
DOI:10.2308/accr.2005.80.2.423