Data and Code for: "A New Era of Midnight Mergers: Antitrust Risk and Investor Disclosures"
Principal Investigator(s): View help for Principal Investigator(s) John M. Barrios, Washington University in St. Louis; Thomas G. Wollmann, University of Chicago Booth School of Business
Version: View help for Version V1
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Project Citation:
Barrios, John M., and Wollmann, Thomas G. Data and Code for: “A New Era of Midnight Mergers: Antitrust Risk and Investor Disclosures.” Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-10-09. https://doi.org/10.3886/E193241V1
Project Description
Summary:
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This workspace contains data and code for the article "A New Era of Midnight Mergers: Antitrust Risk and Investor Disclosures." The article is summarized as follows.
Antitrust authorities search public documents to discover anticompetitive mergers. Thus, investor disclosures may alert them to deals that would otherwise escape scrutiny, creating disincentives for managers to divulge transactions. We study this behavior in publicly traded US companies. First, we estimate a regression discontinuity that exploits mandatory disclosure thresholds stipulated by securities law. We find that releasing information to investors poses antitrust risk. Second, we present a method for measuring undisclosed merger activity that relies on financial accounting reporting requirements. We find that undisclosed mergers total $2.3 trillion between 2002 and 2016.
Scope of Project
Subject Terms:
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stealth consolidation;
financial disclosure;
mergers;
antitrust
JEL Classification:
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G34 Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
K21 Antitrust Law
L40 Antitrust Issues and Policies: General
M40 Accounting and Auditing: General
G34 Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
K21 Antitrust Law
L40 Antitrust Issues and Policies: General
M40 Accounting and Auditing: General
Geographic Coverage:
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United States
Time Period(s):
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1/1/2002 – 12/31/2016
Data Type(s):
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event/transaction data
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