{"title":"Product Market Competition, R&D Intensity, and Stock Returns— In Light of a Text Analysis-Based Industry Classification Method (Chinese version)","authors":"Jin Tao","doi":"10.2139/ssrn.3917511","DOIUrl":null,"url":null,"abstract":"A new industry classification method is applied to all non-financial companies listed in Chinese A share market during 2015-2018 to study the relationship between product market competition, R&D intensity and stock returns. Univariate and bivariate grouped regressions with Fama-French three factors model, Carhart four factors model, and Fama-French five factors model are conducted. The results prove that the positive impact of R&D intensity on stock returns is strongest when product market competition is intense. The rules remain robust with subsamples of state-owned enterprises and private enterprises respectively. By comparing with traditional industry classification methods, the new text analysis-based approach proves to be more informative especially for small market cap firms.","PeriodicalId":127551,"journal":{"name":"Corporate Finance: Valuation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Corporate Finance: Valuation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3917511","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new industry classification method is applied to all non-financial companies listed in Chinese A share market during 2015-2018 to study the relationship between product market competition, R&D intensity and stock returns. Univariate and bivariate grouped regressions with Fama-French three factors model, Carhart four factors model, and Fama-French five factors model are conducted. The results prove that the positive impact of R&D intensity on stock returns is strongest when product market competition is intense. The rules remain robust with subsamples of state-owned enterprises and private enterprises respectively. By comparing with traditional industry classification methods, the new text analysis-based approach proves to be more informative especially for small market cap firms.