New study reveals how jumps in asset returns impact forecasting accuracy
The article shows that including jump components in measuring return volatility can improve forecasting. By using new bipower variation measures, researchers found that volatility jumps are important but less persistent than continuous movements. Separating rough jumps from smooth moves leads to better forecasts. Significant jumps often happen after specific economic news.