Study on Dynamic Relation between Share Price Index and Housing Price: Co-integration Analysis and Application in Share Price Index Prediction

被引:0
|
作者
Peng, Jin [1 ]
机构
[1] Wuhan Univ, Sch Econ & Management, Wuhan 430072, Peoples R China
来源
SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009) | 2009年 / 56卷
关键词
Cointegration Analysis; H-P filter technique; Granger causality test; Error correction model; Share price index prediction;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
According to international experiment, there is a dynamic relation between share price index and housing price. In this paper, aimming at the recent fact in china, a new cointegration analysis is used to reserch this relation and predict the share price index furtherly. Firstly, we adopted the H-P filter technique to decompose the fluctuant components from the series of share price index and housing price. Secondly, the stationary of the time series is verified, there is cointegration relation between share price index and housing price. The result of Granger causality test shows, the fluctuation of housing price has remarkable influence on share price index. At last, on the basis of analysis above, we construct the error correction model, and apply it to predict the share price index.
引用
收藏
页码:837 / 846
页数:10
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