The article discusses how to make accurate predictions in models where the data's volatility changes over time. The researchers found a new method that combines two steps into one, improving prediction accuracy. They compared this new method to the traditional two-step approach and found that it performs better in certain situations. The study focused on financial data from major stock exchanges to demonstrate the effectiveness of the new prediction method.