Research Article

Economic Policy Uncertainty and Chinese Stock Market Volatility: A CARR-MIDAS Approach

Table 4

Out-of-sample forecast evaluation results for forecast window of 500.

HorizonCARRCARR-MIDASCARR-MIDAS-CEPUCARR-MIDAS-GEPU

Panel A: MSE loss function
15.8635e 065.3300e 063.9646e 064.2818e 06
58.0498e 067.2398e 065.0020e 065.4611e 06
109.9444e 068.7142e 065.6484e 066.2006e 06
221.3656e 051.0430e 056.3693e 066.9867e 06

Panel B: QLIKE loss function
14.6432e 024.5667e 023.4571e 023.7338e 02
56.1724e 026.1738e 024.4787e 024.8592e 02
107.4483e 027.3153e 025.1065e 025.5565e 02
221.0084e 018.8528e 026.1062e 026.5505e 02

MSE is the mean squared error, and QLIKE is the quasilikelihood. Bold entries indicate the model with the lowest loss value per horizon (in each row). Shaded entries indicate the model is included in the MCS at a 10% significance level.