Stock market volatility shifts reveal hidden patterns for predicting future trends.
The article suggests that stock market volatility and implied volatility from option prices can have common level shifts during market movements. The researchers used a model and the Kalman filter to analyze this relationship. They found that strong persistence in volatility and the ability to predict future volatility from current implied volatility can be explained by these common level shifts.