The study looked at how measurement errors affect predicting stock market volatility in China. Researchers created a new model called LogHARQ to improve volatility forecasts. Results showed that the LogHARQ model outperformed other models, especially when volatility was high. This was confirmed by tests on economic value and timing of volatility.