Stock price prediction based on error correction model and Granger causality test

被引:7
|
作者
Yang Ning [1 ]
Wah, Liu Chun [1 ]
Luo Erdan [1 ]
机构
[1] Univ Macau, Taipa 999078, Macao, Peoples R China
关键词
Cointegration test; Granger-causality; Macroeconomic variables; Stock market return; Unit root test; AUTOMATIC DETECTION; RETURNS; MONEY; ENTROPY;
D O I
10.1007/s10586-018-2406-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The purpose of this study is to investigate the relationship between macroeconomic variables (interest rate, money supply, exchange rate, inflation rate) and overall market return in Hong Kong and Shanghai. The relationship is test by using APT, VECM and Granger-Causility test. Pre-tests of unit root and cointegration are the way to process monthly data in this paper. Results: There do exist an relationship between the selected macroeconomic variables and stock market return in Hong Kong and Shanghai in the long and short period. This paper implies that the investors who are interested in Chinese stock market should be prepared to invest for the long-term. But in Hong Kong stock market, the investors not only focus on the long-term but also focus on the short-term.
引用
收藏
页码:S4849 / S4858
页数:10
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