Contemporary Financial Flows of the Ukrainian Insurance Market

Abstract

The aim of this study is to analyze financial flows in the Ukrainian insurance market under macroeconomic instability caused by geopolitical conflicts, inflation, and structural reforms. The research not only describes the current state of the market but also introduces innovative forecasting tools, particularly through modeling the dynamics of premiums, claims, assets, and reserves. Special attention is given to the resilience of the sector, its integration into the European financial space, and prospects of digitalization and regulatory transformation. The methodical framework combines statistical analysis of National Bank of Ukraine data and industry reports, regression modeling to forecast gross premiums, and the development of the Dynamic Flow Balance Coefficient (DFBC) as a novel stability indicator. Comparative analysis contrasts the Ukrainian market with EU markets, especially in war-related reinsurance. A systemic approach conceptualizes financial flows as an interconnected network of insurers, reinsurers, policyholders, and regulators. Findings show that in 2024–2025 the market grew substantially despite adverse conditions. The regression model forecasts 81.5 billion UAH in 2026, suggesting slower growth. DFBC confirmed robustness in non-life insurance, while life insurance showed sensitivity to external shocks. Assets rose to 81.6 billion UAH by mid-2025, reserves to 50 billion UAH. The number of companies declined to 57, with foreign-owned firms consolidating dominance. A distinctive feature was war-related reinsurance supported by international institutions. The Ukrainian insurance market demonstrates resilience and adaptability. Growth of premiums and assets reflects restored trust, yet challenges remain: low penetration, reliance on foreign capital, and volatility in life insurance. Future development depends on harmonization with EU standards, digitalization, expansion of war insurance, and DFBC as a planning tool. Scientific novelty lies in DFBC and regression modeling, enriching academic understanding of transitional economies. Practical significance is evident in applicability for regulators, insurers, and investors designing sustainable strategies.