Research Article

The Volatility Forecasting Power of Financial Network Analysis

Table 5

The forecasting realized volatility of Asian and Oceania stock market indices using in-sample analysis with monthly data and core econometric specifications shown in Table 1.

(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)
VariableNKYHSIKOSPITWSEJCIFBMKLCISTIASXNZSE

C−2.021−2.041−1.182−1.179−1.041−1.038−1.256−1.256−2.091−2.090−2.077−2.078−1.290−1.293−1.228−1.232−2.557−2.569
0.4130.4160.3160.3160.2360.2370.2810.2840.3910.3920.4650.4640.3170.3170.3440.3410.7200.718
VMSTL (−1)−0.9130.6720.8291.083−0.218−0.476−0.480−0.4720.623
0.4700.3370.3500.3390.3570.3960.4340.3510.312
VPMFGL (−1)−0.6600.6550.6580.948−0.175−0.264−0.359−0.315−0.498
0.4300.3220.3330.3240.3340.3740.3960.3340.291
AR (−1)0.3960.4180.4810.4840.4360.4580.3020.3130.4590.4620.3600.3770.5020.5150.5650.5850.3270.334
0.0800.0800.0660.0670.0700.0700.0730.0730.0710.0720.0730.0710.0590.0570.0720.0700.0690.068
AR (−2)0.2660.2370.2240.2220.2310.2080.3790.3690.1040.1010.2530.2380.2040.1910.1270.1060.2220.216
0.0780.0780.1090.1030.0650.0660.0720.0730.0780.0780.0860.0860.0740.0710.0940.0920.0580.057
AR (−3)−0.009−0.0060.0990.0980.1650.1670.1190.1190.0960.0960.1020.1000.0980.0980.1240.1260.1050.103
0.0470.0460.0790.0780.0570.0570.0470.0460.0610.0610.0720.0720.0430.0430.0690.0690.0740.074
Adjusted R-squared0.3570.3490.5670.5680.5920.5890.5270.5230.3220.3220.3830.3790.5490.5480.5760.5740.3160.311
Prob (Wald F-statistic)0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000

Notes: AR stands for lag monthly volatility realized, and AR (−1) and AR (−2) represent the first and second lags of volatility realized. SPX, CCMP, SPTX, MEXBOL, and IGBVL Lmex denote one-month volatility realized returns of the respective indices. The estimations from the first equation in Table 1 are presented here , , and . Source: authors’ elaboration.