Numerical Simulation for Chaotic Financial Models

The study introduces a novel numerical framework for chaotic financial models, characterized by sensitive dynamics. Our method diverges from traditional liberalization and subdivision approaches, directly tackling chaotic systems without simplification. By integrating two linear multistep methods via a multistep inversion, we achieve seamless continuous‐to‐discrete formulation, ensuring robust convergence and precision.