EGARCH，模型ARCH和GARCH项系数和是不是也得小于1呢？这里面 c6 +c4大于1，是不是说明模型不对？
均值方程就是 用中证500指数的一阶对数差分 去回归 沪深300指数的一阶对数差分。
条件异方差方程里加了个虚拟变量，说明股指期货上市。
|
LOG(GARCH) = C(3) + C(4)*ABS(RESID(-1)/@SQRT(GARCH(-1))) + C(5) |
| *RESID(-1)/@SQRT(GARCH(-1)) + C(6)*LOG(GARCH(-1)) + C(7) |
| *FUTURE | | |
| | | | | |
| | | | | |
| Variable | Coefficient | Std. Error | z-Statistic | Prob. |
| | | | | |
| | | | | |
| C | 1.50E-05 | 0.000134 | 0.111675 | 0.9111 |
| RZZ | 0.780697 | 0.005046 | 154.7092 | 0.0000 |
| | | | | |
| | | | | |
| | Variance Equation | | |
| | | | | |
| | | | | |
| C(3) | -0.405311 | 0.054246 | -7.471729 | 0.0000 |
| C(4) | 0.184369 | 0.017761 | 10.38059 | 0.0000 |
| C(5) | 0.004906 | 0.009088 | 0.539913 | 0.5893 |
| C(6) | 0.972842 | 0.004894 | 198.7761 | 0.0000 |
| C(7) | -0.008679 | 0.004338 | -2.000609 | 0.0454 |
| | | | | |
| | | | | |
| R-squared | 0.821663 | Mean dependent var | 0.000478 |
| Adjusted R-squared | 0.821589 | S.D. dependent var | 0.018022 |
| S.E. of regression | 0.007612 | Akaike info criterion | -7.092393 |
| Sum squared resid | 0.139355 | Schwarz criterion | -7.075566 |
| Log likelihood | 8542.695 | Hannan-Quinn criter. | -7.086272 |
| F-statistic | 1846.787 | Durbin-Watson stat | 1.624916 |
| Prob(F-statistic) | 0.000000 | | | |
| | | | | |
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