Research Article

The Volatility Forecasting Power of Financial Network Analysis

Table 4

The forecasting realized volatility of European 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)
VariableFTSECACDAXIBEXFTSEMIBAEXOMXRTSSMI

C−1.479−1.482−1.392−1.392−1.277−1.278−1.342−1.342−1.127−1.129−1.247−1.249−1.234−1.235−1.754−1.758−2.023−2.029
0.3230.3230.2780.2790.3120.3120.2750.2770.2370.2350.2840.2840.3260.3250.3430.3430.3680.369
VMSTL (−1)0.5660.974−0.7210.700−0.838−0.7830.8220.158−0.857
0.3650.3970.3670.3460.3320.4450.3540.3890.515
VPMFGL (−1)0.310−0.6910.5190.5160.6810.460−0.5680.0510.547
0.3550.3860.3750.3320.3180.4280.3350.3670.462
AR (−1)0.4740.5080.4360.4740.5080.5340.5050.5270.4760.4960.4580.5020.4070.4400.5040.5130.3940.429
0.0920.0910.0970.0960.0810.0830.0650.0670.0820.0830.1080.1050.0750.0740.0920.0920.1120.109
AR (−2)0.1640.1300.2880.2460.2050.1770.2100.1830.2980.2770.2830.2350.3200.2840.1390.1330.2240.188
0.0670.0670.0920.0880.0830.0840.0720.0700.0910.0900.0880.0840.0730.0680.0740.0740.0830.080
AR (−3)0.1340.1340.0450.0490.0720.0750.0600.0640.0340.0350.0580.0610.0680.0720.0220.0200.0690.069
0.0580.0580.0560.0550.0610.0600.0520.0520.0590.0590.0510.0500.0560.0560.0760.0760.0610.060
Adjusted R-squared0.4940.4910.5230.5180.5470.5440.5250.5220.5860.5840.5640.5600.5450.5410.3620.3610.3790.374
Prob (Wald F-statistic)0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000

Note: 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.