Research Article
A New Method for Setting Futures Portfolios’ Maintenance Margins: Evidence from Chinese Commodity Futures Markets
Table 6
Effectiveness of our method under different relative risk aversion coefficients.
| | | Interval | | PI | OCI |
| | Portfolio A | In-sample | 0.5 | 0.9674 | 0.0627 | | 0.6 | 0.9832 | 0.0671 | | 0.7 | 1.0000 | 0.0778 | | 0.8 | 1.0000 | 0.0815 | | 0.9 | 1.0000 | 0.0860 | | Out-of-sample | 0.5 | 0.9476 | 0.0501 | | 0.6 | 0.9657 | 0.0615 | | 0.7 | 0.9983 | 0.0709 | | 0.8 | 0.9994 | 0.0810 | | 0.9 | 1.0000 | 0.0852 |
| | Portfolio B | In-sample | 0.5 | 0.9356 | 0.0684 | | 0.6 | 0.9474 | 0.0575 | | 0.7 | 0.9792 | 0.06844 | | 0.8 | 1.0000 | 0.0858 | | 0.9 | 1.0000 | 0.0893 | | Out-of-sample | 0.5 | 0.9364 | 0.0674 | | 0.6 | 0.9582 | 0.0797 | | 0.7 | 0.9993 | 0.0847 | | 0.8 | 0.9995 | 0.0889 | | 0.9 | 1.0000 | 0.0904 |
| | Portfolio C | In-sample | 0.5 | 0.9467 | 0.0649 | | 0.6 | 0.9770 | 0.0666 | | 0.7 | 0.9867 | 0.0748 | | 0.8 | 1.0000 | 0.0806 | | 0.9 | 1.0000 | 0.0835 | | Out-of-sample | 0.5 | 0.9476 | 0.0501 | | 0.6 | 0.9657 | 0.0615 | | 0.7 | 0.9845 | 0.0694 | | 0.8 | 0.9906 | 0.0795 | | 0.9 | 1.0000 | 0.0847 |
| | Portfolio D | In-sample | 0.5 | 0.9575 | 0.0585 | | 0.6 | 0.9807 | 0.0697 | | 0.7 | 0.9897 | 0.0745 | | 0.8 | 1.0000 | 0.0873 | | 0.9 | 1.0000 | 0.0906 | | Out-of-sample | 0.5 | 0.9578 | 0.0567 | | 0.6 | 0.9667 | 0.0675 | | 0.7 | 0.9975 | 0.0693 | | 0.8 | 0.9981 | 0.0795 | | 0.9 | 1.0000 | 0.0814 |
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Notes: stands for the relative risk aversion coefficient.
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