Research Article
Inexact SA Method for Constrained Stochastic Convex SDP and Application in Chinese Stock Market
Table 7
Prediction correlation matrix.
| CC | 600000 | 600010 | 600015 | 600016 | 600019 | 600028 | 600030 | 600031 | 600036 | 600048 |
| 600000 | 1 | 0.9119 | 0.9776 | 0.9497 | 0.9388 | 0.9656 | 0.9447 | 0.9427 | 0.9766 | 0.9736 | 600010 | 0.9119 | 1 | 0.9477 | 0.9318 | 0.9209 | 0.9298 | 0.9020 | 0.8960 | 0.9030 | 0.9318 | 600015 | 0.9776 | 0.9477 | 1 | 0.9825 | 0.9646 | 0.9835 | 0.9467 | 0.9408 | 0.9716 | 0.9825 | 600016 | 0.9497 | 0.9318 | 0.9825 | 1 | 0.9437 | 0.9666 | 0.9050 | 0.8940 | 0.9547 | 0.9597 | 600019 | 0.9388 | 0.9209 | 0.9646 | 0.9437 | 1 | 0.9766 | 0.9587 | 0.9716 | 0.9358 | 0.9527 | 600028 | 0.9656 | 0.9298 | 0.9835 | 0.9666 | 0.9766 | 1 | 0.9597 | 0.9557 | 0.9567 | 0.9756 | 600030 | 0.9447 | 0.9020 | 0.9467 | 0.9050 | 0.9587 | 0.9597 | 1 | 0.9776 | 0.9408 | 0.9696 | 600031 | 0.9427 | 0.8960 | 0.9408 | 0.8940 | 0.9716 | 0.9557 | 0.9776 | 1 | 0.9318 | 0.9487 | 600036 | 0.9766 | 0.9030 | 0.9716 | 0.9547 | 0.9358 | 0.9567 | 0.9408 | 0.9318 | 1 | 0.9746 | 600048 | 0.9736 | 0.9318 | 0.9825 | 0.9597 | 0.9527 | 0.9756 | 0.9696 | 0.9487 | 0.9746 | 1 |
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