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Evidence that Prices Do Not Fully Reflect the Implications of Current Earnings for Future Earnings: An Experimental Markets Approach *
Author(s) -
CALEGARI MICHAEL,
FARGHER NEIL L.
Publication year - 1997
Publication title -
contemporary accounting research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.769
H-Index - 99
eISSN - 1911-3846
pISSN - 0823-9150
DOI - 10.1111/j.1911-3846.1997.tb00534.x
Subject(s) - earnings , economics , econometrics , post earnings announcement drift , earnings response coefficient , autocorrelation , financial economics , asset (computer security) , consistency (knowledge bases) , finance , statistics , mathematics , geometry , computer security , computer science
. Analysts have been found to underweight the innovation in the most recent quarterly earnings when forecasting next‐quarter earnings, and these expectations have been posited as an explanation for post‐earnings‐announcement drift. This study uses an experimental asset market to examine whether similar errors in forecasting quarterly earnings are made by student‐subjects. We examine two aspects of their behavior: (1) do subjects underestimate the autocorrelation in quarterly earnings when forming earnings expectations? and (2) are asset prices consistent with a subject's underestimation of the autocorrelation in quarterly earnings? We observe subject errors in forecasts that underweight extreme innovations in the most recent quarterly earnings by approximately 40 percent. The prices in the experimental markets also fail to reflect fully the most recent innovation in quarterly earnings. We are able to predict the sign of the incorrect pricing, from the mean initial earnings predictions of the subjects, in 74 percent of the 135 markets. These forecast errors observed in this study are consistent with forecast errors observed for analysts, and this consistency suggests that errors in analysts' forecasts may be at least partially attributable to the use of judgmental heuristics.