DocumentCode :
2388586
Title :
A prediction model of merger & acquisitions in the US telecommunications industry — A case study of a recent M&A in wireless communications sector
Author :
Ouyang, Ye ; Fallah, M. Hosein
Author_Institution :
Stevens Inst. of Technol., Hoboken, NJ, USA
fYear :
2011
fDate :
13-15 April 2011
Firstpage :
1
Lastpage :
11
Abstract :
The “1997 Merger Guidelines” articulates the analytical framework that Department of Justice (DoJ) and Federal Trade Commission (FTC) use to review merger and acquisition cases. To better apply the guidelines to the M&A cases in telecommunication industry, the authorities and merging companies in telecommunications industry have a need to translate the provisions of the general guidelines to the specific situation of the telecom sector. Based on the telecommunication M&A cases between 1996 and 2009, this paper develops a model to assess the predictability of prospective M&A outcome from the DoJ/FTC review process. The model could be a good leading indicator for the potential merging companies and the decision makers in M&A reviews. The model while integrates the M&A criteria based on the M&A circumstances in telecommunication industry, it does not eliminate the need for exercise of judgment from the evaluation of mergers under the antitrust laws. A recent Merger case between Cisco and Starent Networks is evaluated as a case study.
Keywords :
radiocommunication; telecommunication industry; Cisco networks; Department of Justice; Federal Trade Commission; Starent networks; US telecommunications industry; antitrust laws; decision makers; merger and acquisition cases; prediction model; wireless communications sector; Companies; Corporate acquisitions; FCC; Guidelines; Industries; Monopoly; Telecommunications; Antitrust Laws; HHI; Horizontal Merger Guidelines; Market Concentration; Merger and Acquisition; Neural Networks; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Telecommunications Symposium (WTS), 2011
Conference_Location :
New York City, NY
ISSN :
1934-5070
Print_ISBN :
978-1-4577-0162-7
Type :
conf
DOI :
10.1109/WTS.2011.5960887
Filename :
5960887
Link To Document :
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