| Article |
|---|
| Article name |
THE USE OF A GENETIC ALGORITHM FOR THE SELECTION OF A BANK-TARGET IN M&A DEALS |
| Authors |
Kokh L.. , Ryazanova T.. , |
| Bibliographic description |
|
| Category |
Economics |
| DOI |
336.719 |
| DOI |
10.21209/2227-9245-2019-25-1-111-119 |
| Article type |
scientific |
| Annotation |
Over the past five years, Russia\'s banking system has undergone major changes. Innovations in the legislative framework led to tightening of the requirements set by the Central Bank for the quality of assets, liquidity indicators and the level of capital adequacy. Many banks approached the critical values of the above indicators and were forced to look for an emergency way to improve them.
Currently, in the context of a pronounced tendency for the consolidation of the banking sector, financial organizations often resort to mergers and acquisitions, as one of the capital increase methods. The nature of such transactions is a priori changeable and unstable. Therefore, all participants in the transaction are interested in its being effective.
When considering specific potential bank objectives, the analysis of the potential outcome of the transaction is reduced to a point calculation of performance indicators.
However, at the stage of selecting possible bidders, it is important to analyze the widest possible sample of candidates. Point analysis is a long process with low efficiency. To reduce the time frame and increase the number of potential partners, it is proposed to use a genetic algorithm. It allows you to determine only those target banks, the synergistic effect on which will be positive
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| Key words |
Key words: bank capital; capital adequacy; genetic algorithm; mergers and acquisitions; buyer\'s bank; target bank; banking system; Russia; positive effect; coefficient |
| Article information |
Kokh L., Ryazanova T. The use of a genetic algorithm for the selection of a bank-target in M&A deals // Transbaikal State University Journal, 2019, vol. 25, no. 1, pp.111-119 |
| References |
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