The AUTOREG Procedure
Dependent Variable Interval
Ordinary Least Squares Estimates
SSE 1616284.45 DFE 263
MSE 6146 Root MSE 78.39367
SBC 3056.77403 AIC 3053.19808
MAE 75.7610572 AICC 3053.21335
MAPE 100.628617 Regress R-Square 0.0151
Durbin-Watson 0.2421 Total R-Square 0.0151
NOTE: No intercept term is used. R-squares are redefined.
Standard Approx
Variable DF Estimate Error t Value Pr > |t|
Duration 1 0.2652 0.1320 2.01 0.0456
Estimates of Autocorrelations
Lag Covariance Correlation -1 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 1
0 6122.3 1.000000 | |********************|
1 5346.9 0.873342 | |***************** |
2 5674.0 0.926784 | |******************* |
Preliminary MSE 758.2
Estimates of Autoregressive Parameters
Standard
Lag Coefficient Error t Value
1 -0.269488 0.044718 -6.03
2 -0.691429 0.044718 -15.46
Algorithm converged.
GARCH Estimates
SSE 119288.935 Observations 264
MSE 451.85203 Uncond Var 469.96748
Log Likelihood -1180.2462 Total R-Square 0.9273
SBC 2393.94813 AIC 2372.49243
MAE 33352.1152 AICC 2372.81928
MAPE 61684.3865 Normality Test 51.4811
Pr > ChiSq <.0001
NOTE: No intercept term is used. R-squares are redefined.
SAS 系统 2008年08月27日 星期三 下午05时12分44秒 20
The AUTOREG Procedure
Standard Approx
Variable DF Estimate Error t Value Pr > |t|
Duration 1 -0.0940 0.0320 -2.94 0.0033
AR1 1 -0.1963 0.0456 -4.30 <.0001
AR2 1 -0.7838 0.0490 -16.00 <.0001
ARCH0 1 433.5319 179.7969 2.41 0.0159
ARCH1 1 0.0658 0.0531 1.24 0.2155
GARCH1 1 0.0117 0.3553 0.03 0.9737