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Stock price prediction based on error correction model and Granger causality test
Ning, Yang; Wah, Liu Chun; Erdan, Luo
2019-03-01
Source PublicationCluster Computing
ISSN1386-7857
Volume22Pages:4849-4858
Abstract

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.

KeywordCointegration Test Granger-causality Macroeconomic Variables Stock Market Return Unit Root Test
DOI10.1007/s10586-018-2406-6
URLView the original
Indexed BySCIE ; SSCI
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000492605300234
Scopus ID2-s2.0-85044040238
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
AffiliationUniversity of Macau, Taipa, 999078, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Ning, Yang,Wah, Liu Chun,Erdan, Luo. Stock price prediction based on error correction model and Granger causality test[J]. Cluster Computing, 2019, 22, 4849-4858.
APA Ning, Yang., Wah, Liu Chun., & Erdan, Luo (2019). Stock price prediction based on error correction model and Granger causality test. Cluster Computing, 22, 4849-4858.
MLA Ning, Yang,et al."Stock price prediction based on error correction model and Granger causality test".Cluster Computing 22(2019):4849-4858.
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