State Reversion

Model

Stochastic volatility models, such as Heston or Ornstein-Uhlenbeck processes, incorporate state reversion to model the dynamic behavior of volatility. These models assume that volatility fluctuates around a long-term mean, which is a more realistic representation of market dynamics than the constant volatility assumption of Black-Scholes. The state reversion parameter dictates the speed at which volatility returns to its average level.