In the proof, the tools of the conditional moment generating function and the differentiation on a net for the study on strong limit theorems in the random selection system are applied.
在证明中采用了一种把网微分法与条件矩母函数相结合应用于随机选择系统强极限定理研究的一种途径。
Conditional CAPM has a higher forecasting precision than higher-moment CAPM.
时变CAPM模型较高阶矩CAPM模型，具有更高的预测精度。
Conditional CAPM has a higher forecasting precision than higher-moment CAPM.
时变CAPM模型较高阶矩CAPM模型，具有更高的预测精度。
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