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ИД «Финансы и кредит»






Digest Finance

Cluster analysis in the control over the activity of insurance companies

Vol. 28, Iss. 3, SEPTEMBER 2023

PDF  Article PDF Version

Received: 13 February 2020

Received in revised form: 21 February 2020

Accepted: 3 March 2020

Available online: 28 September 2023

Subject Heading: Insurance

JEL Classification: G22, M41, М42, M49

Pages: 322–344


Aksana A. TURGAEVA Astrakhan State Technical University (ASTU), Astrakhan, Russian Federation


Subject. The article considers clustering of insurance companies as a type of informatization of economy for practical application by the internal control system.
Objectives. The purpose is to present clusters and give their interpretation for insurance companies in relation to internal control; identify the possibility of clustering, using the Deductor Studio platform developed by Base Group for internal control systems.
Methods. The study employs techniques of statistical research and data processing, mathematical methods, methods of grouping, and cluster analysis.
Results. Clusters are presented by several indicators of insurance companies. The study reveals heterogeneity in the results of distribution according to the rating of companies in terms of various indicators. It confirms the need to use the cluster analysis in the internal control system.
Conclusions. Cluster analysis enables the internal control system to take into account all data regardless of their amount, and avoid data sampling. It reduces the level of errors in the results of analysis and control.

Keywords: cluster analysis, internal control, insurance company, Kohonen network, Data Mining program


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ISSN 2311-9438 (Online)
ISSN 2073-8005 (Print)

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Vol. 28, Iss. 3
September 2023