Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 380

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

How Much New Information Is There in Earnings?

Open access
BALL, RAY, SHIVAKUMAR, LAKSHMANAN·2008·Journal of Accounting Research

Abstract

We quantify the relative importance of earnings announcements in providing new information to the share market, using the R2 in a regression of securities' calendar‐year returns on their four quarterly earnings‐announcement “window” returns. The R2, which averages approximately 5% to 9%, measures the proportion of total information incorporated in share prices annually that is associated with earnings announcements. We conclude that the average quarterly announcement is associated with approximately 1% to 2% of total annual information, thus providing a modest but not overwhelming amount of incremental information to the market. The results are consistent with the view that the primary economic role of reported earnings is not to provide timely new information to the share market. By inference, that role lies elsewhere, for example, in settling debt and compensation contracts and in disciplining prior information, including more timely managerial disclosures of information originating in the firm's accounting system. The relative informativeness of earnings announcements is a concave function of size. Increased information during earnings‐announcement windows in recent years is due only in part to increased concurrent releases of management forecasts. There is no evidence of abnormal information arrival in the weeks surrounding earnings announcements. Substantial information is released in management forecasts and in analyst forecast revisions prior (but not subsequent) to earnings announcements.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1475-679x.2008.00299.x

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Metadata

Authors
BALL, R., & SHIVAKUMAR, L.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2008-10-21
Volume
46
Issue
5
Pages
975-1016
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W2099148687
Cited by
380
References
2
FWCI
76.78
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: How Much New Information Is There in Earnings? https://app.cochat.ai/papers/10.1111/j.1475-679x.2008.00299.x
The paper
BALL, R., & SHIVAKUMAR, L. (2008). How Much New Information Is There in Earnings? Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2008.00299.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.