用winrats跑了个VAR-BEKK-GARCH模型,但是结果是有的变量自身的Arch项不显著,有的变量自身的Garch项不显著,求教大神这是模型有问题么,需要怎么解决呢?结果如下:
MV-GARCH, BEKK - Estimation by BFGS
Convergence in 61 Iterations. Final criterion was 0.0000000 <= 0.0000100
Weekly Data From 2008:01:14 To 2009:12:28
Usable Observations 103
Log Likelihood -890.1633
Variable Coeff Std Error T-Stat Signif
************************************************************************************
Mean Model(REN)
1. REN{1} 0.156210650 0.091541591 1.70644 0.08792534
2. RNG{1} 0.067385723 0.042891658 1.57107 0.11616679
3. RWTI{1} 0.019217323 0.054741147 0.35106 0.72554476
4. Constant -0.262575490 0.288151714 -0.91124 0.36216871
Mean Model(RNG)
5. REN{1} 0.123443157 0.132771711 0.92974 0.35250577
6. RNG{1} 0.247724918 0.075453203 3.28316 0.00102650
7. RWTI{1} 0.014550220 0.098343757 0.14795 0.88238013
8. Constant -0.518472782 0.513281491 -1.01011 0.31244071
Mean Model(RWTI)
9. REN{1} 0.026479644 0.104199967 0.25412 0.79940027
10. RNG{1} 0.064379215 0.066302320 0.97099 0.33155082
11. RWTI{1} 0.228193267 0.105168260 2.16979 0.03002259
12. Constant 0.085384638 0.392433238 0.21758 0.82775833
13. C(1,1) 2.577075954 0.416670961 6.18492 0.00000000
14. C(2,1) 1.945218413 0.653911330 2.97474 0.00293234
15. C(2,2) 0.000003235 0.683256270 4.73497e-06 0.99999622
16. C(3,1) 2.504677207 0.455115889 5.50338 0.00000004
17. C(3,2) -0.000054360 0.901345713 -6.03099e-05 0.99995188
18. C(3,3) -0.000000085 0.767654819 -1.10254e-07 0.99999991
19. A(1,1) 0.701525831 0.133484765 5.25547 0.00000015
20. A(1,2) 0.074075210 0.175713801 0.42157 0.67334081
21. A(1,3) -0.116234178 0.158298141 -0.73427 0.46278188
22. A(2,1) -0.301433934 0.076066115 -3.96279 0.00007408
23. A(2,2) 0.056789089 0.099804865 0.56900 0.56935532
24. A(2,3) -0.358732336 0.088991662 -4.03108 0.00005552
25. A(3,1) 0.184793230 0.088662791 2.08423 0.03713968
26. A(3,2) 0.172079213 0.103080886 1.66936 0.09504586
27. A(3,3) 0.735362377 0.114835914 6.40359 0.00000000
28. B(1,1) -0.411027497 0.267494390 -1.53658 0.12439531
29. B(1,2) -0.630631655 0.287015665 -2.19720 0.02800596
30. B(1,3) -0.267354976 0.261424736 -1.02268 0.30645713
31. B(2,1) 0.111907985 0.090385099 1.23812 0.21566998
32. B(2,2) 1.038835080 0.050075106 20.74554 0.00000000
33. B(2,3) 0.108840223 0.054703383 1.98964 0.04663024
34. B(3,1) 0.080010630 0.111256516 0.71915 0.47204570
35. B(3,2) -0.068644185 0.096791352 -0.70920 0.47820192
36. B(3,3) 0.696974866 0.113991359 6.11428 0.00000000


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