Variance Forecasting

Variance forecasting is the process of predicting the future variance of an asset price, which serves as a proxy for future volatility. This is a critical task for derivatives traders who need to price options correctly.

Accurate forecasts allow for better hedging and risk management. GARCH models are the industry standard for this task because they account for the time-varying nature of volatility.

Forecasting involves using past data to project the conditional variance into the future. It is a key input for the Greeks in options trading, specifically for calculating Vega.

If the forecast is inaccurate, traders may be exposed to significant losses. The process involves parameter estimation and model validation.

It is a cornerstone of modern quantitative finance.