New model predicts financial market crashes with unprecedented accuracy.
The researchers improved a Tobit model by considering different types of errors in time series data. They found that their new model, which accounts for GARCH errors, performs better than the standard Tobit model. This means that when errors in data follow a certain pattern, the new model gives more accurate results.