We test the value at risk (VaR) forecasting accuracy of seven generalised autoregressive condition heteroskedasticity (GARCH)-mixed data sampling (MIDAS) models, which potentially provide superior forecast accuracy than traditional GARCH models by capturing different forms of mixed frequency...