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Heteroskedasticity Test: ARCH

F-statistic                 22.52871     Prob. F(2,993)                    0.0000
Obs*R-squared               43.23190     Prob. Chi-Square(2)               0.0000


Test Equation:
Dependent Variable: RESID^2
Method: Least Squares
Date: 12/20/12 Time: 00:28
Sample (adjusted): 5 1000
Included observations: 996 after adjustments

        Variable           Coefficient     Std. Error      t-Statistic      Prob.

          C                  7.27E-05       5.31E-06       13.70152        0.0000
      RESID^2(-1)            0.211174       0.031786       6.643565        0.0000
      RESID^2(-2)           -0.014305       0.031782      -0.450110        0.6527

R-squared                   0.043406     Mean dependent var               9.05E-05
Adjusted R-squared          0.041479     S.D. dependent var               0.000126
S.E. of regression          0.000123     Akaike info criterion           -15.16554
Sum squared resid           1.50E-05     Schwarz criterion               -15.15077
Log likelihood              7555.440     Hannan-Quinn criter.            -15.15993
F-statistic                 22.52871     Durbin-Watson stat               1.994761
Prob(F-statistic)           0.000000

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табл гетероскедаст

  • 1. Heteroskedasticity Test: ARCH F-statistic 22.52871 Prob. F(2,993) 0.0000 Obs*R-squared 43.23190 Prob. Chi-Square(2) 0.0000 Test Equation: Dependent Variable: RESID^2 Method: Least Squares Date: 12/20/12 Time: 00:28 Sample (adjusted): 5 1000 Included observations: 996 after adjustments Variable Coefficient Std. Error t-Statistic Prob. C 7.27E-05 5.31E-06 13.70152 0.0000 RESID^2(-1) 0.211174 0.031786 6.643565 0.0000 RESID^2(-2) -0.014305 0.031782 -0.450110 0.6527 R-squared 0.043406 Mean dependent var 9.05E-05 Adjusted R-squared 0.041479 S.D. dependent var 0.000126 S.E. of regression 0.000123 Akaike info criterion -15.16554 Sum squared resid 1.50E-05 Schwarz criterion -15.15077 Log likelihood 7555.440 Hannan-Quinn criter. -15.15993 F-statistic 22.52871 Durbin-Watson stat 1.994761 Prob(F-statistic) 0.000000