Determining the leaders of Ukraine’s insurance market based on the adaptation of the DEA method

  • 10 Views
  • 1 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The escalating wartime risks in Ukraine has led to a rapid reduction in insurance coverage in life and non-life segments. The purpose of the study is to rank Ukraine’s insurance companies based on an adaptation of the DEA method to the insurance market conditions. The study utilized the Supervisory Statistics of the National Bank of Ukraine as data. The study also used ranking of insurance companies based on technical efficiency criteria. The output indicators include the profitability of total capital (Output1) and the occupied share of the insurance market (Output2). The input indicators comprise the volume of total assets of insurers (Input1), the share of equity capital in assets (Input2), the level of gross payments (Input3), and the level of payments to insurance reserves (Input4). The ranking of insurance companies is based on minimizing the distance of each from the bounds of technical efficiency by solving a set of optimization problems. Based on the modeling results, a list of market leaders (7 companies) was formed for the end of the third quarter of 2023. They served nearly 37% of the insurance market in Ukraine, accumulating 41.5% of the total assets of this financial market sector. So, the primary issue for insurance companies is the loss of solvency due to the absence of adequate levels of insurance reserves. Therefore, priority measures should include strengthening regulatory constraints in this financial market segment to facilitate its qualitative renewal.

view full abstract hide full abstract
    • Figure 1. Quarterly dynamics of Ukraine’s insurance market and the number of insurers based on data from 2020–2023
    • Table 1. Leaders of the Ukrainian insurance market as of the end of the third quarter of 2023
    • Conceptualization
      Nadiia Shmygol, Vyacheslav Glushchevsky, Olena Cherniavska
    • Methodology
      Nadiia Shmygol, Vitalii Byrskyi
    • Validation
      Nadiia Shmygol, Vitalii Byrskyi
    • Writing – original draft
      Nadiia Shmygol, Vitalii Byrskyi
    • Writing – review & editing
      Nadiia Shmygol, Olena Cherniavska, Lyazzat Sembiyeva, Vitalii Byrskyi, Viktoriia Khoroshun, Yevhenii Merzhynskyi
    • Funding acquisition
      Vyacheslav Glushchevsky, Viktoriia Khoroshun, Yevhenii Merzhynskyi
    • Resources
      Vyacheslav Glushchevsky, Viktoriia Khoroshun, Yevhenii Merzhynskyi
    • Software
      Vyacheslav Glushchevsky, Viktoriia Khoroshun, Yevhenii Merzhynskyi
    • Supervision
      Vyacheslav Glushchevsky, Olena Cherniavska, Lyazzat Sembiyeva
    • Visualization
      Vyacheslav Glushchevsky, Olena Cherniavska, Lyazzat Sembiyeva
    • Data curation
      Olena Cherniavska
    • Formal Analysis
      Lyazzat Sembiyeva