Received 10.07.2024, Revised 21.10.2024, Accepted 17.12.2024
The purpose of the study was to identify the main areas of optimisation of the Ukrainian system of state regulation of the insurance market, taking into account the European experience. The research methodology included three stages, namely, analysing the role and functions of government agencies in regulating the insurance market, conducting interviews, and identifying the main trends in the development of the insurance market. The results showed the importance of the National Bank of Ukraine, which performs the functions of regulating financial services, including insurance. The Law of Ukraine No. 1909-IX “On Insurance” and Law of Ukraine No. 2664-III “On Financial Services and State Regulation of Financial Services Markets” were studied. Considerable attention was paid to the implementation of the Solvency II Directive, which sets new requirements for risk management capital in the context of European integration in Ukraine. The survey results indicated that competition in the services sector drives organisations to innovate and improve their offerings. The study found that the adaptation of Ukrainian legislation to European standards contributes to the reliability of the insurance market. In particular, negative trends include problems with the implementation of new regulations and the adaptation of insurance companies to European requirements. Adjusting to new regulatory standards includes modifying internal procedures and using modern technology. However, the general direction of regulation contributes to strengthening the insurance sector in the context of European integration. The practical significance of the study is to provide specific recommendations for improving the mechanisms of insurance market regulation in Ukraine, which will help to increase the transparency and reliability of insurance companies, as well as their adaptation to European standards in the context of European integration
financial services; licensing; legislative norms; enterprises; financial markets
[1] Acosta-Prado, J.C., Hernández-Cenzano, C.G., Villalta-Herrera, C.D., & Barahona-Silva, E.W. (2024). Three horizons of technical skills in artificial intelligence for the sustainability of insurance companies. Administrative Sciences, 14(9), article number 190. doi: 10.3390/admsci14090190.
[2] Alley, I. (2024). Deposit insurance and financial inclusion. Journal of Economic Studies. doi: 10.1108/JES-12-2023-0726.
[3] Amanda, C., & Pradipta, A.D. (2024). Risk-based premiums of insurance guarantee schemes: A machine-learning approach. Journal of Indonesian Economy and Business, 39(2), 121-142. doi: 10.22146/jieb.v39i2.9323.
[4] Arsenal Insurance. (n.d.). Retrieved from https://arsenal-ic.ua/about-us.
[5] Asabere, N.Y., Asare, I.O., Lawson, G., Balde, F., Duodu, N.Y., Tsoekeku, G., Afriyie, P.O., & Ganiu, A.R.A. (2024). Geo-insurance: Improving big data challenges in the context of insurance services using a geographical information system (GIS). Human Behavior and Emerging Technologies, 2024(1), article number 9015012. doi: 10.1155/2024/9015012.
[6] Banker, R.D., Amirteimoori, A., Allahviranloo, T., & Sinha, R.P. (2024). Performance analysis and managerial ability in the general insurance market: A study of India and Iran. Information Technology and Management, 25, 19-31. doi: 10.1007/s10799-023-00405-y.
[7] Bratyuk, V. (2022). Current state of the insurance market in Ukraine. Taurian Scientific Bulletin. Series: Economics, 12, 37-45. doi: 10.32851/2708-0366/2022.12.5.
[8] Çetin, M. (2024). Insurance needs of digital nomads and predictions for future. Worldwide Hospitality and Tourism Themes, 16(3), 379-382. doi: 10.1108/WHATT-03-2024-0065.
[9] Čiković, K.F., Cvetkoska, V., & Mitreva, M. (2024). Investigating the efficiency of insurance companies in a developing country: A data envelopment analysis perspective. Economies, 12(6), article number 128. doi: 10.3390/economies12060128.
[10] Cosma, S., & Rimo, G. (2024). Redefining insurance through technology: Achievements and perspectives in Insurtech. Research in International Business and Finance, 70(Part A), article number 102301. doi: 10.1016/j.ribaf.2024.102301.
[11] Elgargouh, Y., Chbihi Louhdi, M.R., Zemmouri, E.M., & Behja, H. (2024). Knowledge management for improved digital transformation in insurance companies: Systematic review and perspectives. Informatics, 11(3), article number 60. doi: 10.3390/informatics11030060.
[12] Eling, M. (2024). Is the insurance industry sustainable? Journal of Risk Finance, 25(4), 684-703. doi: 10.1108/JRF-12-2023-0314.
[13] Farrugia, M., Borg, A., & Thake, A.M. (2024). Investigating the gender pay gap in the Maltese financial and insurance sector: A macro and micro approach. Equality, Diversity and Inclusion, 43(1), 93-113. doi: 10.1108/EDI-02-2022-0038.
[14] Financial sector statistics. (2024). Retrieved from https://bank.gov.ua/ua/statistic/sector-financial.
[15] Ghorashi, S.F., Bahri, M., & Goodarzi, A. (2024). Developing and comparing machine learning approaches for predicting insurance penetration rates based on each country. Letters in Spatial and Resource Sciences, 17, article number 24. doi: 10.1007/s12076-024-00387-7.
[16] Gupta, A., & Venkataraman, S. (2024). Insurance and climate change. Current Opinion in Environmental Sustainability, 67, article number 101412. doi: 10.1016/j.cosust.2023.101412.
[17] Ha, K., Stowe, L., & Chakraborttii, C. (2024). Improving insurance fraud detection with generated data. In 2024 IEEE 48th annual computers, software, and applications conference (COMPSAC) (pp. 2008-2013). Osaka: IEEE. doi: 10.1109/COMPSAC61105.2024.00321.
[18] ICC/ESOMAR international code on market, opinion, and social research and data analytics. (2016). Retrieved from https://esomar.org/uploads/attachments/ckqtawvjq00uukdtrhst5sk9u-iccesomar-international-code-english.pdf.
[19] İlkaz, A., & Çebi, F. (2024). Multi-criteria decision-making model for evaluation of financial performance of insurance companies. In E. Cepni (Ed.), Chaos, complexity, and sustainability in management (pp. 141-170). Hershey: IGI Global. doi: 10.4018/979-8-3693-2125-6.ch008.
[20] Information of the issuer of securities and financial statements. (n.d.). Retrieved from https://www.providna.ua/company/informaciya-emitenta-cinnikh-paperiv-ta-finansova-zvitnist.
[21] Kumar, J.N.V.R.S., Vamsi Kishan, R.N., Saketh Devulapalli, S.S., Alexander Rajan, L., & Kundu, A. (2024). Digital verification: An efficient fraud document detection for insurance claims using IoT and ML approaches. In 2024 4th international conference on pervasive computing and social networking (ICPCSN) (pp. 242-247). Salem: IEEE. doi: 10.1109/ICPCSN62568.2024.00048.
[22] Law of Ukraine No. 1909-IX “On Insurance”. (2021, November). Retrieved from https://zakon.rada.gov.ua/laws/show/1909-20#n2320.
[23] Law of Ukraine No. 2664-III “On Financial Services and State Regulation of Financial Services Markets”. (2001, July). Retrieved from https://zakon.rada.gov.ua/laws/show/2664-14#Text.
[24] Mojali, E., El-Tawy, N., & Al-Ajmi, J. (2024). Disruptive digital experiences in the GCC insurance industry. In A. Hamdan & A. Harraf (Eds.), Business development via AI and digitalization (pp. 21-30). Cham: Springer. doi: 10.1007/978-3-031-62102-4_2.
[25] Montero, J.-M., Naimy, V., Farraj, N.A., & Khoury, R.E. (2024). Natural disasters, stock price volatility in the property-liability insurance market and sustainability: An unexplored link. Socio-Economic Planning Sciences, 91, article number 101791. doi: 10.1016/j.seps.2023.101791.
[26] Nechyporenko, A. (2021). State regulation of insurance activity in Ukraine: Theoretical aspect. Efektyvna Ekonomika, 7. doi: 10.32702/2307-2105-2021.7.94.
[27] Oquendo‐Torres, F.A., & Segovia‐Vargas, M.J. (2024). Sustainability risk in insurance companies: A machine learning analysis. Global Policy, 15(7), 47-64. doi: 10.1111/1758-5899.13440.
[28] Pei, X., Yang, W., & Xu, M. (2024). Examining the impact of long-term care insurance on the care burden and labor market participation of informal carers: A quasi-experimental study in China. Journals of Gerontology, 79(5), article number gbae023. doi: 10.1093/geronb/gbae023.
[29] Sadowski, J. (2024). Total life insurance: Logics of anticipatory control and actuarial governance in insurance technology. Social Studies of Science, 54(2), 231-256. doi: 10.1177/03063127231186437.
[30] Skaf, Y., Eid, C., Thrassou, A., El Nemar, S., & Rebeiz, K.S. (2024). Technology and service quality: Achieving insurance industry customer satisfaction and loyalty under crisis conditions. EuroMed Journal of Business. doi: 10.1108/EMJB-01-2024-0027.
[31] Solvency II Hub: Updates, best practices and resources. (n.d.). Retrieved from https://griml.com/fEyRB.
[32] Srbinoski, B., Poposki, K., & Bogdanovski, V. (2024). Interconnectedness of European insurers and cat shocks contagion effects. Journal of Financial Regulation and Compliance, 32(3), 379-402. doi: 10.1108/JFRC-10-2023-0163.
[33] TAS Insurance Group. (n.d.). Retrieved from https://parasol.ua/ua/company/tas?gbraid=0AAAAADL6LnNVL83B2gHHNEZ9lgqMb1JrG&gclid=EAIaIQobChMIp87Q_PGViQMVDoVoCR0K0QPUEAAYAyAAEgJ0RfD_BwE.
[34] Tasdemir, A., & Alsu, E. (2024). The relationship between activities of the insurance industry and economic growth: The case of G-20 economies. Sustainability, 16(17), article number 7634. doi: 10.3390/su16177634.
[34] Tayebi, A., Lila, A., Cheikh, S., & Lutfi, B. (2024). Technical efficiency measurement in insurance companies by using the slacks-based measure (SBM-DEA) with undesirable outputs: Analysis case study. Competitiveness Review, 34(1), 229-243. doi: 10.1108/CR-01-2023-0012.
[36] Van Oirbeek, R., Vandervorst, F., Bury, T., Willame, G., Grumiau, C., & Verdonck, T. (2024). Non-differentiable loss function optimization and interaction effect discovery in insurance pricing using the genetic algorithm. Risks, 12(5), article number 79. doi: 10.3390/risks12050079.
[37] Verma, N. (2024). Reinsurance: A risk management tool for the insurance sector. In N. Kumar, K. Sood, E. Özen & S. Grima (Eds.), The framework for resilient industry: A holistic approach for developing economies (pp. 209-222). Leeds: Emerald Publishing Limited. doi: 10.1108/978-1-83753-734-120241015.