Aggregate accounting earnings can explain most of security returns. The case of long return intervals

Peter D Easton, Trevor S Harris, James A Ohlson

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

255 Citations (Scopus)

Abstract

The paper analyzes the contemporaneous association between market returns and earnings for long return intervals. The research design exploits two fundamental accounting attributes: (i) earnings aggregate over periods, and (ii) expanding the interval over which earnings are determined, is likely to reduce 'measurement errors' in (aggregate) earnings. These concepts lead to the level of (aggregate) earnings as a natural earnings variable for explaining security returns. We hypothesize that the longer the interval over which earnings are aggregated, the higher the cross-sectional correlation between earnings and returns. The empirical findings support this hypothesis. © 1992.
Original languageEnglish
Pages (from-to)119-142
JournalJournal of Accounting and Economics
Volume15
Issue number2-3
DOIs
Publication statusPublished - Jun 1992
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

The authors wish to thank the participants of workshops at the Australian Graduate School of Management, Auckland, University of California, Berkeley, Drexel, Duke, Iowa, Macquarie, Michigan, Monash, Purdue, Queensland, Southern California, Stanford, Texas, and Washington for valuable comments. Special thanks are due D. Shores and Bob Bowen. The last two authors received partial funding from the Faculty Research Fund, Columbia Business School.

Fingerprint

Dive into the research topics of 'Aggregate accounting earnings can explain most of security returns. The case of long return intervals'. Together they form a unique fingerprint.

Cite this