
This release presents the final version of my research project on Insurance Premium Pricing in Kenya (2015–2024). The study investigates how macroeconomic volatility influences car insurance premiums, focusing on three key indicators: inflation rate, GDP growth rate, and interest rate. Using ARIMAX (Auto-Regressive Integrated Moving Average with Exogenous Variables) and Multiple Linear Regression (MLR) frameworks, the analysis identifies interest rate as the only statistically significant predictor at the 5% level. Forecasts generated from the models project a continued upward trend in premiums from 2025 to 2027. This release includes reproducible code, datasets, and documentation, making it suitable for citation, replication, and further actuarial or economic research.