Black Scholes, Stochastic Process, Options Trading, Financial Modelling, Differential Equations.
σ(Square(St, t)) δ and is independent of the past behavior of the process. This is so because the increments of a Wiener process are independent and normally distributed. The function μ is referred to as the drift coefficient, while σ is called the diffusion coefficient. The stochastic process St