Research Article

Forecasting Stock Market Volatility: A Combination Approach

Table 6

Out-of-sample forecasting results with different lag lengths.

WTIBRTVIXWTI + VIXBRT + VIXCC ()CC ()

Out-of-sample forecasting results with lag length 2
1.411.3210.2511.1810.6710.2810.18
value0.07650.08210.00060.00010.00020.00030.0003

Out-of-sample forecasting results with lag length 4
1.481.4110.3611.2010.7010.3310.20
value0.05740.06540.00040.00010.00020.00030.0003

Out-of-sample forecasting results with lag length 6
1.531.4410.4111.2110.7310.3810.24
value0.05740.06540.00030.00010.00020.00030.0003

Out-of-sample forecasting results with lag length 8
1.501.4010.3711.1710.6710.3110.21
value0.07860.07660.00050.00030.00030.00050.0005

Note. This table reports the forecasting results for the predictive regression models for monthly stock volatility with the alternative lag orders: 2, 4, 6, and 8 where the out-of-sample period is 2003 : 01–2018 : 12. The table reports the out-of-sample , defined in the percent reduction of the mean-squared predictive error (MSPE) of the interest models relative to that of the benchmark of AR (). The values of Clark and West [45] (CW) tests for the equivalence of MSPEs between the interest models and the benchmark model are given in the parentheses. The asterisks , , and indicate rejections of null hypothesis at 10%, 5%, and 1% significance levels, respectively.