Last
updated: 20-07-2024
Time:
15:40:07
## OK: residuals appear as normally distributed (p = 0.298).
## OK: Residuals appear to be independent and not autocorrelated (p = 0.224).
## OK: Error variance appears to be homoscedastic (p = 0.088).
##
## Bounds F-test (Wald) for no cointegration
##
## data: d(CS) ~ L(CS, 1) + L(psR, 1) + L(sc, 1) + PF + L(m1, 1) + L(CS_TO_R, 1) + L(x_ff, 1) + L(x10_3, 1) + L(PFCS, 1) + L(cpium, 1) + d(L(CS, 1)) + d(psR) + d(L(psR, 1)) + d(sc) + d(m1) + d(CS_TO_R) + d(L(CS_TO_R, 1)) + d(x_ff) + d(x10_3) + d(PFCS) + d(cpium)
## F = 6.4208, p-value = 1e-06
## alternative hypothesis: Possible cointegration
## null values:
## k T
## 9 1000
## # Check for Multicollinearity
##
## Moderate Correlation
##
## Term VIF VIF 95% CI Increased SE Tolerance Tolerance 95% CI
## CS_TO_R 5.02 [ 3.92, 6.53] 2.24 0.20 [0.15, 0.25]
## L(CS_TO_R, 1) 8.41 [ 6.47, 11.02] 2.90 0.12 [0.09, 0.15]
## L(CS_TO_R, 2) 5.53 [ 4.31, 7.21] 2.35 0.18 [0.14, 0.23]
##
## High Correlation
##
## Term VIF VIF 95% CI Increased SE Tolerance Tolerance 95% CI
## L(CS, 1) 58.45 [ 44.17, 77.46] 7.65 0.02 [0.01, 0.02]
## L(CS, 2) 55.01 [ 41.58, 72.89] 7.42 0.02 [0.01, 0.02]
## psR 470.74 [354.73, 624.78] 21.70 2.12e-03 [0.00, 0.00]
## L(psR, 1) 664.54 [500.72, 882.06] 25.78 1.50e-03 [0.00, 0.00]
## L(psR, 2) 477.27 [359.65, 633.45] 21.85 2.10e-03 [0.00, 0.00]
## sc 21.65 [ 16.45, 28.60] 4.65 0.05 [0.03, 0.06]
## L(sc, 1) 18.49 [ 14.07, 24.41] 4.30 0.05 [0.04, 0.07]
## PF 169.93 [128.14, 225.44] 13.04 5.88e-03 [0.00, 0.01]
## m1 146.88 [110.78, 194.84] 12.12 6.81e-03 [0.01, 0.01]
## L(m1, 1) 132.38 [ 99.85, 175.59] 11.51 7.55e-03 [0.01, 0.01]
## x_ff 203.29 [153.27, 269.73] 14.26 4.92e-03 [0.00, 0.01]
## L(x_ff, 1) 200.01 [150.80, 265.39] 14.14 5.00e-03 [0.00, 0.01]
## x10_3 36.33 [ 27.51, 48.09] 6.03 0.03 [0.02, 0.04]
## L(x10_3, 1) 40.07 [ 30.33, 53.06] 6.33 0.02 [0.02, 0.03]
## PFCS 660.36 [497.57, 876.52] 25.70 1.51e-03 [0.00, 0.00]
## L(PFCS, 1) 678.50 [511.24, 900.60] 26.05 1.47e-03 [0.00, 0.00]
## cpium 13.42 [ 10.25, 17.68] 3.66 0.07 [0.06, 0.10]
## L(cpium, 1) 12.69 [ 9.70, 16.70] 3.56 0.08 [0.06, 0.10]
##
## OLS-based CUSUM test
##
## data: ocus
## S0 = 0.37364, p-value = 0.999
Last Value
(Monthly):
30-06-2024: 825.32
Forecasts
(value):
31-07-2024: 854.44
09-08-2024: 853.27
Forecasts(in
%):
31-07-2024: 3.53%
09-08-2024: 3.39%