{"title":"基于专利的预测市盈率对中国股市投资业绩的影响","authors":"Zhaohui Li, Guangyun Deng, Hui-Chung Che","doi":"10.1109/ISCID51228.2020.00097","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Patent-Based Predictive Price-to-Earnings Ratio on Increasing Investment Performance of China Stock Market\",\"authors\":\"Zhaohui Li, Guangyun Deng, Hui-Chung Che\",\"doi\":\"10.1109/ISCID51228.2020.00097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":236797,\"journal\":{\"name\":\"2020 13th International Symposium on Computational Intelligence and Design (ISCID)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 13th International Symposium on Computational Intelligence and Design (ISCID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID51228.2020.00097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID51228.2020.00097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Patent-Based Predictive Price-to-Earnings Ratio on Increasing Investment Performance of China Stock Market
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.