Truncated Normal Distribution Boosts Stock Volatility Forecasting Accuracy.
The GARCH(1,1) model with the truncated standard normal distribution is better at forecasting stock returns volatility than when using normal or student-t distributions. One-step ahead forecasts are more accurate than multi-step ahead forecasts. This is important for managing risk in the short term, but less crucial for longer time horizons.