The financial security management model in second-tier banks
With the growing socio-economic threats associated with the risk of involving second-tier banks in the legalization of illegal income, it is necessary to create an effective financial monitoring system to reduce this risk. Aim of the research is to propose and test a model of financial security mana...
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| Format: | Article |
| Language: | English |
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Institute of Economics under the Science Committee of Ministry of Education and Science RK
2020-12-01
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| Series: | Экономика: стратегия и практика |
| Subjects: | |
| Online Access: | https://esp.ieconom.kz/jour/article/view/242 |
| _version_ | 1826572465463099392 |
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| author | A. Z. Nurmagambetova S. Z. Nurmagambetov A. G. Mukusheva |
| author_facet | A. Z. Nurmagambetova S. Z. Nurmagambetov A. G. Mukusheva |
| author_sort | A. Z. Nurmagambetova |
| collection | DOAJ |
| description | With the growing socio-economic threats associated with the risk of involving second-tier banks in the legalization of illegal income, it is necessary to create an effective financial monitoring system to reduce this risk. Aim of the research is to propose and test a model of financial security management in second-tier banks in Kazakhstan, based on a combination of clustering models and recursive least squares, which allows for three-level processing of incoming information in banks in order to identify hidden data that pose a financial threat to the activities of second-tier banks. The research methodology is based on a combination of APC-III clustering algorithm models and the recursive least squares (RLS) method, with the algorithm slightly modified in accordance with the OECD recommendations. This ap proach made it possible to consider the operations of banks at three levels and, during transitions, identify suspicious transactions that require immediate examination by the bank’s management. Application of the model made it possible to reveal that, on average, about a third of banks’ operations can be classified as suspicious, which means they require careful study. In our case, we selected 200 cases from the original data mixed with 70 suspicious transactions to study the model. As a result of statistical processing of banking operations, 90 operational data were identified, of which 27 turned out to be suspicious, that is, about 30% of verified transactions were found suspicious. As a result of providing this information, the bank was able to identify 19 transactions aimed at money laundering. |
| first_indexed | 2024-04-10T02:45:59Z |
| format | Article |
| id | doaj.art-c7e56bb5ec764677bfb50998cb97241d |
| institution | Directory Open Access Journal |
| issn | 1997-9967 2663-550X |
| language | English |
| last_indexed | 2025-03-14T12:27:27Z |
| publishDate | 2020-12-01 |
| publisher | Institute of Economics under the Science Committee of Ministry of Education and Science RK |
| record_format | Article |
| series | Экономика: стратегия и практика |
| spelling | doaj.art-c7e56bb5ec764677bfb50998cb97241d2025-03-02T09:28:14ZengInstitute of Economics under the Science Committee of Ministry of Education and Science RKЭкономика: стратегия и практика1997-99672663-550X2020-12-01154147154239The financial security management model in second-tier banksA. Z. Nurmagambetova0S. Z. Nurmagambetov1A. G. Mukusheva2Kazakh national University named after al-FarabiKazakh Economic University named after T. RyskulovGumilyov Eurasian National UniversityWith the growing socio-economic threats associated with the risk of involving second-tier banks in the legalization of illegal income, it is necessary to create an effective financial monitoring system to reduce this risk. Aim of the research is to propose and test a model of financial security management in second-tier banks in Kazakhstan, based on a combination of clustering models and recursive least squares, which allows for three-level processing of incoming information in banks in order to identify hidden data that pose a financial threat to the activities of second-tier banks. The research methodology is based on a combination of APC-III clustering algorithm models and the recursive least squares (RLS) method, with the algorithm slightly modified in accordance with the OECD recommendations. This ap proach made it possible to consider the operations of banks at three levels and, during transitions, identify suspicious transactions that require immediate examination by the bank’s management. Application of the model made it possible to reveal that, on average, about a third of banks’ operations can be classified as suspicious, which means they require careful study. In our case, we selected 200 cases from the original data mixed with 70 suspicious transactions to study the model. As a result of statistical processing of banking operations, 90 operational data were identified, of which 27 turned out to be suspicious, that is, about 30% of verified transactions were found suspicious. As a result of providing this information, the bank was able to identify 19 transactions aimed at money laundering.https://esp.ieconom.kz/jour/article/view/242financial monitoringmanagement modelfinancial securitybankingfinancial managementrisk management |
| spellingShingle | A. Z. Nurmagambetova S. Z. Nurmagambetov A. G. Mukusheva The financial security management model in second-tier banks Экономика: стратегия и практика financial monitoring management model financial security banking financial management risk management |
| title | The financial security management model in second-tier banks |
| title_full | The financial security management model in second-tier banks |
| title_fullStr | The financial security management model in second-tier banks |
| title_full_unstemmed | The financial security management model in second-tier banks |
| title_short | The financial security management model in second-tier banks |
| title_sort | financial security management model in second tier banks |
| topic | financial monitoring management model financial security banking financial management risk management |
| url | https://esp.ieconom.kz/jour/article/view/242 |
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