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Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis

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  • Evans Kiptoo Korir
  • Zsolt Vizi

Abstract

This study examines insurance companies' financial performance and reporting trends within the medical sector using advanced clustering techniques to identify distinct patterns. Four clusters were identified by analyzing financial ratios and time series data, each representing unique financial performance and reporting consistency combinations. Dynamic Time Warping (DTW) and KMeans clustering were employed to capture temporal variations and uncover key insights into company behaviors. The findings reveal that resilient performers consistently report and have financial stability, making them reliable options for policyholders. In contrast, clusters of underperforming companies and those with reporting gaps highlight operational challenges and issues related to data consistency. These insights emphasize the importance of transparency and timely reporting to ensure the sector's resilience. This study contributes to the literature by integrating time series analysis into financial clustering, offering practical recommendations for improving data governance and financial stability in the insurance sector. Future research could further investigate non-financial indicators and explore alternative clustering methods to provide a deeper understanding of performance dynamics.

Suggested Citation

  • Evans Kiptoo Korir & Zsolt Vizi, 2025. "Decoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis," Papers 2502.17072, arXiv.org, revised Mar 2025.
    • Handle: RePEc:arx:papers:2502.17072
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    References listed on IDEAS

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    1. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    2. Sergey Dzuba & Denis Krylov, 2021. "Cluster Analysis of Financial Strategies of Companies," Mathematics, MDPI, vol. 9(24), pages 1-21, December.
    3. Korir, Evans Kiptoo, 2024. "Comparative clustering and visualization of socioeconomic and health indicators: A case of Kenya," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    4. Jiang, Shi-jie & Nieh, Chien-Chung, 2012. "Dynamics of underwriting profits: Evidence from the U.S. insurance market," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 1-15.
    5. Therese Wilson, 2012. "Supporting Social Enterprises to Support Vulnerable Consumers: The Example of Community Development Finance Institutions and Financial Exclusion," Journal of Consumer Policy, Springer, vol. 35(2), pages 197-213, June.
    6. Lei, Jinhao & Liu, Chao & Jiang, Dongxiang, 2019. "Fault diagnosis of wind turbine based on Long Short-term memory networks," Renewable Energy, Elsevier, vol. 133(C), pages 422-432.
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