Rachel W. Flam

Texas A&M University - Department of Accounting

4353 TAMU

College Station, TX 77843-4353

United States

SCHOLARLY PAPERS

4

DOWNLOADS
Rank 33,324

SSRN RANKINGS

Top 33,324

in Total Papers Downloads

1,842

SSRN CITATIONS

2

CROSSREF CITATIONS

3

Scholarly Papers (4)

1.

Analysts’ and Managers’ Use of Humor on Public Earnings Conference Calls

Number of pages: 56 Posted: 25 Jul 2019 Last Revised: 15 Sep 2020
Arizona State University (ASU) - School of Accountancy, Texas A&M University - Department of Accounting, Brigham Young University and Texas A&M University - Department of Accounting
Downloads 1,016 (27,848)
Citation 3

Abstract:

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earnings conference calls, humor, disclosure, financial analysts, management

2.

A Level Playing Field? Empirical Evidence That Ethnic Minority Analysts Face Unequal Access to Corporate Managers

Number of pages: 61 Posted: 08 Jun 2020 Last Revised: 23 Dec 2020
Texas A&M University - Department of Accounting, Texas A&M University - Department of Accounting, Brigham Young University and Texas A&M University - Department of Accounting
Downloads 401 (92,909)
Citation 2

Abstract:

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ethnic discrimination, ethnic bias, ethnic diversity, financial analysts, management access, earnings conference calls, All-Star analysts, institutional investors

3.

Spillover Effects in Disclosure-Related Securities Litigation

The Accounting Review, forthcoming
Number of pages: 49 Posted: 22 Oct 2019 Last Revised: 14 Oct 2021
University of Iowa, Texas A&M University - Department of Accounting and Texas A&M University
Downloads 214 (179,400)

Abstract:

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Securities Litigation; Peer Firm Spillover; Forecasts; Disclosure

4.

Do Investors Respond to CEO Facial Expressions of Anger During Television Interviews?

Number of pages: 45 Posted: 15 Dec 2020
Rachel W. Flam, Jeremiah Green and Nathan Y. Sharp
Texas A&M University - Department of Accounting, Texas A&M University - Department of Accounting and Texas A&M University - Department of Accounting
Downloads 211 (181,811)
Citation 1

Abstract:

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Facial Expressions, Anger, CEOs, Television Interviews, Machine Learning, CNBC