Patent-Based Predictive Price-to-Earnings Ratio on Increasing Investment Performance of China Stock Market

被引：1

作者：

Li, ZhaoHui ^{[1
]}

Deng, GuangYun ^{[1
]}

Che, HuiChung ^{[2
]}

机构：

[1] Shenzhen GongBiao Intellectual Property Judicial, Shenzhen, Guangdong, Peoples R China

[2] Shenzhen TekGlory Intellectual Property Data Tech, Shenzhen, Guangdong, Peoples R China

来源：

2020 13TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2020) | 2020年

关键词：

Patent Indicator; Granger Causality test; Time Series Regression; China A-share; Stock Performance; Price-to-Earnings; ECONOMIC-GROWTH; INNOVATION;

D O I：

10.1109/ISCID51228.2020.00097

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

China listed companies (A-shares) in Shanghai Main Board, Shenzhen Main Board, GE Board, and SME Board are discussed the prediction ability of patent indicators to A-share's price-to-earnings ratio (PE). We constructed patent leading indicators and patent prediction equations for predicting PE via Granger Causality test and time series regression. We found the stock selection criteria by the higher predictive PE growth rate is useful to build valuable stock portfolios for Shanghai Main Board and Shenzhen Main Board with better performance than the market trend. It also worked well on SME Board though is was seriously impacted by China-US trade conflict.

引用

页码：401 / 405

页数：5

共 19 条

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