Research Article

Forecasting Volatility with Time-Varying Coefficient Regressions

Table 4

Portfolio performance measures, 2006-10-9 to 2018-4-23.

HAR-RVLHAR-RVHAR-RV-JLHAR-RV-ORAHAR-RVHAR-RV-VHAR-RV-ALL

γ = 3RCC7.49024.2796.3976.86316.8407.45125.420
MRS7.68324.8586.4277.14316.8717.16125.882
TVC7.79924.8916.7957.21417.0687.81226.079
CERCC6.93123.5495.7806.22816.1526.85324.465
MRS6.99424.1095.7876.24516.3096.50124.509
TVC7.21324.1606.1726.57316.3847.20625.108

γ = 6RCC4.99615.8264.4874.7219.9704.97516.713
MRS5.13016.1254.5934.89510.0194.70017.702
TVC5.16716.1504.6664.90110.0765.15917.905
CERCC4.71115.3794.1764.4019.6124.76516.130
MRS4.77015.4474.3364.5629.6824.59416.302
TVC4.87715.7004.3524.5789.7244.85617.203

This table reports the performance measures for an investor with the risk aversion coefficient of 3 or 6, and we show the mean of excess returns (R) and CER of the portfolios formed by the forecast of volatility.