The article discusses a method to check if a model accurately predicts how volatile stock prices will be. They use a mathematical representation to describe how volatility changes over time and compare it to actual measurements. By looking at forecasting errors, they can tell if the model is still working correctly. Their approach was tested in simulations and on real US stocks, showing when the model needs updating.