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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In the context of the dynamics of the modern external environment, the importance of risk management in general and the risks inherent in the processes of mergers and acquisitions has sharply increased. This is becoming one of the primary challenges in business, the solution of which will contribute to economic growth and development. In this article, based on a broad review of literature, the key risks of mergers and acquisitions are identified and classified, the level of their significance is assessed, the relevant management tools are selected for each risk and a computer program is developed that implements the selection of tools for each specific merger and acquisition transaction. A comprehensive automated methodology for the selection of risk management tools in the implementation of mergers and acquisitions can become an effective risk management tool for companies participating in such transactions. This will allow to identify and track risks in a timely manner, assess their significance, and, among other things, contribute to the adoption of effective management decisions regarding risk management.

Details

Title
Mergers and Acquisitions Risk Modeling
Author
Vertakova, Yulia 1 ; Vselenskaya, Inga 1 ; Plotnikov, Vladimir 2   VIAFID ORCID Logo 

 Kursk Branch, Financial University under the Government of the Russian Federation, 305016 Kursk, Russia; [email protected] 
 General Economic Theory and History of Economic Thought Department, St. Petersburg State University of Economics, 191023 St. Petersburg, Russia; [email protected] 
First page
451
Publication year
2021
Publication date
2021
Publisher
MDPI AG
ISSN
19118066
e-ISSN
19118074
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2576437058
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.