“Dynamic modeling of General Insurance Risks.”
Country of Study
Uganda
Institution
Makerere University
Expected Year of Completion
2027
Thematic Area
Mathematical and Physical Sciences
Education
Zabibu holds a Master of Science in Statistics from the University of Mysore, India, which she started in July 2015 and completed in February 2018. She is currently pursuing a PhD in Applied Mathematics at Makerere University, Uganda, which she began in March 2022. She has completed her coursework requirements and successfully defended her research proposal. Zabibu is in her third year of PhD studies, with an expected dissertation defense date in April 2026 and graduation in January 2027.
Research Summary
Zabibu’’s research focuses on addressing the limitations of traditional insurance risk models, which often fail to capture nonlinear dependencies, time-varying behaviors, and regime shifts in claims data. Existing models frequently overlook complex interdependencies and dynamic claim patterns that arise due to economic fluctuations, pandemics, and regulatory changes. Her study introduces a more robust framework that incorporates local Gaussian correlations to model non-linear dependencies, Hidden Markov Models (HMMs) to capture time-varying behaviors, and Regime-Switching INGARCH models to detect structural changes in claim frequencies. Her research aims to improve the accuracy and resilience of insurance risk models, ultimately enhancing pricing, reserving, and risk management strategies.
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