“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 addresses the limitations of traditional insurance risk models, which often fail to capture nonlinear dependencies, time-varying behaviors, and regime shifts in claims data. Current models overlook complex interdependencies and fail to account for dynamic claim patterns, particularly in the context of IFRS 17 and Risk-Based Supervision. This study aims to improve risk assessment by using local Gaussian correlations to model dependencies, Hidden Markov Models (HMMs) to capture time-varying dependencies, and Regime-Switching INGARCH models to account for shifts in claim frequencies. The research seeks to enhance the accuracy and robustness of insurance risk models, ultimately improving pricing, reserving, and risk management strategies.
Publications:
