NOC | SP500 : Model specifications

## OK: residuals appear as normally distributed (p = 0.437).
## OK: Residuals appear to be independent and not autocorrelated (p = 0.460).
## OK: Error variance appears to be homoscedastic (p = 0.657).
## 
##  Bounds F-test (Wald) for no cointegration
## 
## data:  d(NOC) ~ L(NOC, 1) + L(ps, 1) + L(sc, 1) + L(PFNOC, 1) + L(m1,     1) + L(PF, 1) + L(x_ff, 1) + L(TCI_V, 1) + TCI_R + cpium +     d(L(NOC, 1)) + d(L(NOC, 2)) + d(ps) + d(L(ps, 1)) + d(L(ps,     2)) + d(sc) + d(L(sc, 1)) + d(L(sc, 2)) + d(L(sc, 3)) + d(PFNOC) +     d(L(PFNOC, 1)) + d(L(PFNOC, 2)) + d(m1) + d(L(m1, 1)) + d(PF) +     d(L(PF, 1)) + d(L(PF, 2)) + d(x_ff) + d(L(x_ff, 1)) + d(TCI_V) +     d(L(TCI_V, 1)) + d(L(TCI_V, 2)) + d(L(TCI_V, 3))
## F = 3.9472, p-value = 0.004645
## alternative hypothesis: Possible cointegration
## null values:
##    k    T 
##    9 1000
## # Check for Multicollinearity
## 
## High Correlation
## 
##         Term     VIF         VIF 95% CI Increased SE Tolerance Tolerance 95% CI
##    L(NOC, 1)   32.86 [  25.71,   42.07]         5.73      0.03     [0.02, 0.04]
##    L(NOC, 2)   46.94 [  36.67,   60.15]         6.85      0.02     [0.02, 0.03]
##    L(NOC, 3)   28.11 [  22.01,   35.97]         5.30      0.04     [0.03, 0.05]
##           ps  403.20 [ 314.10,  517.65]        20.08  2.48e-03     [0.00, 0.00]
##     L(ps, 1)  827.30 [ 644.36, 1062.26]        28.76  1.21e-03     [0.00, 0.00]
##     L(ps, 2) 1051.81 [ 819.19, 1350.57]        32.43  9.51e-04     [0.00, 0.00]
##     L(ps, 3)  383.13 [ 298.48,  491.88]        19.57  2.61e-03     [0.00, 0.00]
##           sc   27.62 [  21.63,   35.34]         5.26      0.04     [0.03, 0.05]
##     L(sc, 1)   33.16 [  25.95,   42.47]         5.76      0.03     [0.02, 0.04]
##     L(sc, 2)   34.77 [  27.20,   44.53]         5.90      0.03     [0.02, 0.04]
##     L(sc, 3)   37.17 [  29.07,   47.61]         6.10      0.03     [0.02, 0.03]
##     L(sc, 4)   31.59 [  24.72,   40.44]         5.62      0.03     [0.02, 0.04]
##        PFNOC  189.16 [ 147.43,  242.79]        13.75  5.29e-03     [0.00, 0.01]
##  L(PFNOC, 1)  383.13 [ 298.48,  491.88]        19.57  2.61e-03     [0.00, 0.00]
##  L(PFNOC, 2)  418.26 [ 325.83,  536.99]        20.45  2.39e-03     [0.00, 0.00]
##  L(PFNOC, 3)  210.93 [ 164.38,  270.74]        14.52  4.74e-03     [0.00, 0.01]
##           m1  557.65 [ 434.38,  715.99]        23.61  1.79e-03     [0.00, 0.00]
##     L(m1, 1)  671.19 [ 522.79,  861.78]        25.91  1.49e-03     [0.00, 0.00]
##     L(m1, 2)  653.32 [ 508.88,  838.84]        25.56  1.53e-03     [0.00, 0.00]
##           PF  886.50 [ 690.46, 1138.28]        29.77  1.13e-03     [0.00, 0.00]
##     L(PF, 1) 1581.18 [1231.42, 2030.36]        39.76  6.32e-04     [0.00, 0.00]
##     L(PF, 2) 1635.51 [1273.73, 2100.13]        40.44  6.11e-04     [0.00, 0.00]
##     L(PF, 3)  735.44 [ 572.83,  944.29]        27.12  1.36e-03     [0.00, 0.00]
##         x_ff  177.52 [ 138.36,  227.84]        13.32  5.63e-03     [0.00, 0.01]
##   L(x_ff, 1)  288.26 [ 224.60,  370.05]        16.98  3.47e-03     [0.00, 0.00]
##   L(x_ff, 2)  175.31 [ 136.65,  225.01]        13.24  5.70e-03     [0.00, 0.01]
##        TCI_V   13.61 [  10.73,   17.36]         3.69      0.07     [0.06, 0.09]
##  L(TCI_V, 1)   24.87 [  19.49,   31.81]         4.99      0.04     [0.03, 0.05]
##  L(TCI_V, 2)   25.28 [  19.81,   32.35]         5.03      0.04     [0.03, 0.05]
##  L(TCI_V, 3)   22.31 [  17.50,   28.52]         4.72      0.04     [0.04, 0.06]
##  L(TCI_V, 4)   17.93 [  14.09,   22.90]         4.23      0.06     [0.04, 0.07]
##        TCI_R   16.15 [  12.70,   20.62]         4.02      0.06     [0.05, 0.08]
##        cpium   21.25 [  16.67,   27.16]         4.61      0.05     [0.04, 0.06]
## 
##  OLS-based CUSUM test
## 
## data:  ocus
## S0 = 0.36369, p-value = 0.9994

## [1] 0.04605963
## [1] 0.04604041
## [1] 0.007163