GARCH Model with Rational Errors Outperforms Standard Model for Stock Prices
The researchers studied different models to predict stock prices on the Tokyo Stock Exchange. They found that a model using a specific type of error distribution gave more accurate results than the standard model. This means that the new model could be a better way to predict stock market volatility.