Realized GARCH models improve financial risk forecasting during global crises.
The study extended a forecasting model to include the realized range, a better indicator than daily returns or variance for predicting volatility and tail risk in financial markets. By using a Bayesian method, the model outperformed other popular models in predicting market returns and tail risk, especially during and after the global financial crisis.