The Inverse Gamma stochastic volatility model introduces a more realistic way to predict changes in volatility over time compared to traditional models. By using time-dependent parameters, this model offers better accuracy in calibrating and hedging financial instruments. This means practitioners can make more informed decisions when managing risks in the market.