New model predicts stock market volatility with macroeconomic variables accuracy
The article focuses on predicting stock market volatility using a method called realized range volatility. Researchers corrected for noise in high-frequency data and included various factors like market performance and credit risk in their model. They found that these factors significantly influence stock market volatility and improve forecasting accuracy.