📖 ABSTRACT/OVERVIEW
This study develops a framework for catastrophe risk modeling and its application to insurance pricing in Nigeria's Niger Delta region. The Niger Delta is simultaneously Nigeria's most economically critical and environmentally vulnerable region, exposed to oil spills, flood events, pipeline explosions, and community conflict. The pricing of catastrophe risk in this region is complicated by data scarcity, non-stationarity of hazard events, and the intersection of man-made and natural catastrophe perils. Existing insurance pricing models for Niger Delta risks rely heavily on international actuarial assumptions that may not capture local exposure characteristics. This research employs an actuarial modeling design that integrates hazard data from satellite-based environmental monitoring, insurance loss data from NAICOM incident reports, and socioeconomic exposure data from the National Bureau of Statistics to develop a Niger Delta-specific catastrophe risk model. Monte Carlo simulation techniques are applied to generate loss exceedance probability curves for flood, oil spill, and fire catastrophe scenarios. Modeled risk estimates are translated into risk-differentiated premium rate indications. The study also evaluates the economic feasibility of a Niger Delta Catastrophe Insurance Pool as a risk-sharing mechanism. Keywords: Catastrophe Risk Modeling, Insurance Pricing, Niger Delta, Monte Carlo Simulation, Risk Pool.
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