Multivariate Forecasting with GARCH

Hey, I want to Forecast SPX using SPX, GVZ, VIX, and OVX stocks using mGARCH but my model is not running properly. Please, anyone, help me to understand this.

My code:

data_xts <- xts(data, order.by = data$Dates)

logreturns <- diff(log(data$SPX,data$VIX))
logreturns <- diff(log(data$OVX,data$GVZ))

plot(log(data[,2:5]), col = c("black", "orange", "magenta"),
     main = "Log-prices of the Four ETFs", legend.loc = "topleft")

ugarch_spec <- ugarchspec(mean.model = list(armaOrder = c(0,0), include.mean = FALSE), 
                          variance.model = list(model = "sGARCH", garchOrder = c(1,1)))

dcc_spec <- dccspec(uspec = multispec(replicate(ugarch_spec, n = 4)),
                    VAR = TRUE, lag = 4,
                    model = "DCC", dccOrder = c(1,1))                                                                                                                                                                                                 
# estimate model
garchdcc_fit <- dccfit(dcc_spec, data = logreturns, solver = "nlminb")

Sample data set:

Dates SPX VIX OVX GVZ
1/4/2010 1132.985478 20.04 35.44 24.59
1/5/2010 1136.523386 19.35 34.27 23.34
1/6/2010 1137.13783 19.16 34.4 23.9
1/7/2010 1141.694928 19.06 33.61 23.32
1/8/2010 1144.983058 18.13 31.34 22.04
1/11/2010 1146.978977 17.55 30 20.97
1/12/2010 1136.221168 18.25 31.61 21.97
1/13/2010 1145.676014 17.85 32.75 20.63
1/14/2010 1148.460648 17.63 30.86 21.34
1/15/2010 1136.028881 17.91 29.8 21.48
1/19/2010 1150.232178 17.58 28.52 21.31
1/20/2010 1138.040246 18.68 31.15 22.85
1/21/2010 1116.478536 22.27 32.51 24.82
1/22/2010 1091.755535 27.31 34.85 26.01
1/25/2010 1096.784901 25.41 33.33 24.73
1/26/2010 1092.165948 24.55 33.78 24.35
1/27/2010 1097.504182 23.14 34.23 24.08
1/28/2010 1084.526415 23.73 33.28 23.35
1/29/2010 1073.869364 24.62 34.05 23.87
2/1/2010 1089.188735 22.59 32.45 23.84
2/2/2010 1103.323052 21.48 32.44 22.75
2/3/2010 1097.281694 21.6 34.65 22.09
2/4/2010 1063.10986 26.08 38.51 27.19
2/5/2010 1066.186826 26.11 39.99 27.59
2/8/2010 1056.744665 26.51 39.53 26.88
2/9/2010 1070.52374 26 38.74 25.45
2/10/2010 1068.134595 25.4 37.91 26.02
2/11/2010 1078.466575 23.96 36.04 25.48
2/12/2010 1075.513262 22.73 36.04 24.29
2/16/2010 1094.87096 22.25 36.15 25.38
2/17/2010 1099.509086 21.72 35.38 24.88
2/18/2010 1106.752095 20.63 33.36 24
2/19/2010 1109.172983 20.02 34.63 24.05
2/22/2010 1108.014922 19.94 33.68 23.53
2/23/2010 1094.60157 21.37 34.88 23.89
2/24/2010 1105.244201 20.27 33.46 22.68
2/25/2010 1102.942516 20.1 33.56 21.85
2/26/2010 1104.493369 19.5 32.82 21.31
3/1/2010 1115.71248 19.26 34.29 21.13
3/2/2010 1118.31055 19.06 34.88 21.76
3/3/2010 1118.789921 18.83 34.53 21.37
3/4/2010 1122.973559 18.72 33.54 20.06
3/5/2010 1138.698076 17.42 32.67 19.29
3/8/2010 1138.504872 17.79 33.22 19.89
3/9/2010 1140.446408 17.92 33.19 19.88
3/10/2010 1145.608971 18.57 33.28 20.93
3/11/2010 1150.243149 18.06 32.7 20.19
3/12/2010 1149.991906 17.58 32.11 20.16
3/15/2010 1150.513867 18 33.38 20.9

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