Stochastic dynamical systems refer to systems where trajectories exhibit complex, random behavior. The term "stochastic" denotes randomness, which can be inherent or arise from a lack of knowledge about a deterministic system. Financial products, such as stock prices and derivatives, serve as prime examples of these systems, often modeled using Wiener processes. These processes are characterized by continuous functions that are nowhere differentiable, leading to differential equations defined through integral equations in Ito-calculus. Understanding these systems is crucial for accurately predicting behaviors in various fields, particularly finance.