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This project provides a comprehensive numerical analysis of the Brusselator model, a theoretical framework for autocatalytic chemical reactions. The implementation spans deterministic solvers, stochastic differential equations (SDEs), and Bayesian parameter estimation using Markov Chain Monte Carlo (MCMC).
Fullstack Bates (1996) Option Pricing Engine: A high-performance engine utilising Inverse Fourier Transforms for real-time calibration and Euler-Maruyama Monte Carlo for path projections. Optimised for 2026-2027 market volatility regimes and jump-diffusion dynamics.
A production-grade stochastic interest rate modeling engine that calibrates the Vasicek model to historical SOFR data using OLS regression and Euler-Maruyama simulation.