An Application of Combination Prediction Model and Macroscopic Analysis in Predicting Asset-liability Ratio. Yue He, Dan Zhang, Yujie Cao

Abstract. This paper analyzed the significance of predicting the asset-liability ratio and the importance of choosing macroscopic data to formulate a model. It used GMDH predicting model. AC predicting model. ARCH model with macroscopic data and combination predicting model to predict the asset-liability ratio of Sichuan industrial enterprises. It analyzed and authenticated the results of the four predicting models. At last. it evaluated the effect of the four models in predicting the asset-liability ratio.

Keywords. GMDH Model; AC Model; ARCH Model; Combination Predicting Model; Asset-liability Ratio

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