Predictive Accuracy

Predictive accuracy refers to how well a model can forecast future values based on historical data. It is the ultimate test of any financial model's utility.

In the context of GARCH, it is measured by comparing the forecasted variance to the actual realized volatility. High predictive accuracy allows for better profit margins and lower risk.

It is the goal of every quantitative analyst. Achieving it requires clean data, robust models, and constant monitoring.

In the fast-paced world of crypto, predictive accuracy can be fleeting, making it a challenging but rewarding objective. It is the core competency that separates successful trading firms from the rest.

It validates the entire analytical process.