Earnings Announcement Processing is a computational framework within information processing that specifically governs the systematic analysis and interpretation of corporate earnings announcements to extract and prioritize relevant financial signal changes from textual and numerical disclosures.
230
Publications
24.4K
Citations
414
Authors
259
Institutions
Publications per year
2017–2026
63
Parents
Publications
230
Management’s tone change, post earnings announcement drift and accruals
Ronen Feldman, Suresh Govindaraj, Joshua Livnat et al. · Review of Accounting Studies · 2009 · 687 citations
Business, Accountancy, Accounting +16
1–5 of 230
Authors
414
- AK
6
h-index
- EC
4
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- YY
4
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- AL
4
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- OE
4
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1–5 of 414
Institutions
259
Stanford University
Stanford, United States
11 h-index
14 publications
2.2K citations
The University of Texas at Austin
Austin, United States
10 h-index
10 publications
1.5K citations
University of Washington
Seattle, United States
10 h-index
12 publications
2.4K citations
Cornell University
Ithaca, United States
9 h-index
10 publications
1.7K citations
Brigham Young University
Provo, United States
8 h-index
10 publications
1K citations
University of Chicago
Chicago, United States
8 h-index
9 publications
2.6K citations
Pennsylvania State University
State College, United States
7 h-index
7 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
7 h-index
7 publications
845 citations
1–8 of 259
Venues
- Journal of Accounting and Economics
26 publications · 6.9K citations
25
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- SSRN Electronic Journal
Repository · 46 publications · 2.3K citations
24
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- Review of Accounting Studies
18 publications · 2.4K citations
17
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- The Accounting Review
16 publications · 2.4K citations
16
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- Review of Quantitative Finance and Accounting
10 publications · 261 citations
10
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1–5