S&P 500 Information Technology: Model specifications & Forecasts

Last updated: 20-07-2024
Time: 15:37:27

## OK: residuals appear as normally distributed (p = 0.883).
## OK: Residuals appear to be independent and not autocorrelated (p = 0.442).
## OK: Error variance appears to be homoscedastic (p = 0.183).
## 
##  Bounds F-test (Wald) for no cointegration
## 
## data:  d(IT) ~ L(IT, 1) + psR + sc + L(TCI_R2, 1) + m1 + indpro + L(x_ff,     1) + L(x10_3, 1) + L(PFIT, 1) + cpium + d(TCI_R2) + d(x_ff) +     d(x10_3) + d(PFIT)
## F = 4.6507, p-value = 0.0008732
## 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
##        TCI_R2 5.96 [  4.42,    8.20]         2.44      0.17     [0.12, 0.23]
##  L(TCI_R2, 1) 6.12 [  4.53,    8.42]         2.47      0.16     [0.12, 0.22]
##        indpro 9.52 [  6.96,   13.19]         3.09      0.11     [0.08, 0.14]
## 
## High Correlation
## 
##         Term    VIF        VIF 95% CI Increased SE Tolerance Tolerance 95% CI
##     L(IT, 1)  98.67 [ 70.52,  138.21]         9.93      0.01     [0.01, 0.01]
##          psR 105.35 [ 75.28,  147.58]        10.26  9.49e-03     [0.01, 0.01]
##           sc  12.37 [  8.98,   17.18]         3.52      0.08     [0.06, 0.11]
##           m1  62.93 [ 45.03,   88.09]         7.93      0.02     [0.01, 0.02]
##         x_ff 102.56 [ 73.30,  143.68]        10.13  9.75e-03     [0.01, 0.01]
##   L(x_ff, 1) 136.90 [ 97.78,  191.84]        11.70  7.30e-03     [0.01, 0.01]
##        x10_3  28.22 [ 20.29,   39.41]         5.31      0.04     [0.03, 0.05]
##  L(x10_3, 1)  33.19 [ 23.83,   46.38]         5.76      0.03     [0.02, 0.04]
##         PFIT 953.76 [680.23, 1337.45]        30.88  1.05e-03     [0.00, 0.00]
##   L(PFIT, 1) 840.84 [599.71, 1179.09]        29.00  1.19e-03     [0.00, 0.00]
##        cpium  11.72 [  8.53,   16.28]         3.42      0.09     [0.06, 0.12]
## 
##  OLS-based CUSUM test
## 
## data:  ocus
## S0 = 0.37596, p-value = 0.9989

Last Value (Monthly):
30-06-2024: 4360.2

Forecasts (value):
31-07-2024: 4377.25
09-08-2024: 4420.47

Forecasts(in %):
31-07-2024: 0.39%
09-08-2024: 1.38%