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Predicting the Co-movement of Stocks in the Hong Kong Stock Market
Chen Chuxun
,
Jean H Y LAI
*
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
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Dive into the research topics of 'Predicting the Co-movement of Stocks in the Hong Kong Stock Market'. Together they form a unique fingerprint.
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Keyphrases
Hong Kong Stock Market
100%
Co-movement
100%
Stock Co-movement
100%
Prediction Model
66%
Support Vector Machine
33%
Hong Kong
33%
Market Capitalization
33%
Group by
33%
Real Estate Industry
33%
Predictive Power
33%
Unsupervised Method
33%
Stock Data
33%
Machine Learning Approach
33%
Portfolio Composition
33%
Trading Data
33%
Supervised Methods
33%
Stock Value
33%
Yahoo Finance
33%
Finance Research
33%
IT Research
33%
Computer Science
Prediction Model
100%
Statistical Approach
100%
Support Vector Machine
50%
Unsupervised Method
50%
Predictive Power
50%
Machine Learning Approach
50%
Supervised Method
50%
Real Estate Industry
50%
Economics, Econometrics and Finance
Industry
100%
Finance
100%
Real Estate Sector
50%
Machine Learning
50%