对上证指数数据进行多分辨率分解以满足平衡性条件,进而对各个尺度下的数据分别用ARMA模型进行拟合。利用拟合后的模型进行预测,与实际值相比得到了较为满意的结果。
We decompose Shanghai Stock Index with multi-resolution analysis to meet the balance conditions.Then the data are fitted with ARMA mode in every scale.The fitted model is used for prediction and results are satisfied being compared with the practical data.