Rachel W. Flam

Texas A&M University - Department of Accounting

4353 TAMU

College Station, TX 77843-4353

United States

SCHOLARLY PAPERS

4

DOWNLOADS
Rank 34,908

SSRN RANKINGS

Top 34,908

in Total Papers Downloads

1,663

SSRN CITATIONS

4

CROSSREF CITATIONS

1

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 971 (28,528)
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 352 (104,028)
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 Securities Litigation

Number of pages: 44 Posted: 22 Oct 2019 Last Revised: 17 Jun 2020
University of Iowa, Texas A&M University - Department of Accounting and Texas A&M University
Downloads 192 (191,701)

Abstract:

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Securities Litigation; Financial Reporting; Disclosure; Peer Firm Spillover

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 148 (239,356)
Citation 1

Abstract:

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