This research note explores an extension of the Black–Scholes–Merton framework by incorporating Generalized Pareto Distributions (GPD) to model extreme tail behavior in FX returns (USD/CAD). The objective is to highlight limitations of classical lognormal assumptions in option pricing and demonstrate how extreme value theory can improve tail risk awareness for risk management and insurance-related applications. This work is for educational and research purposes only.