Product Market Competition, R&D Intensity, and Stock Returns— In Light of a Text Analysis-Based Industry Classification Method (Chinese version)

Jin Tao
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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.
产品市场竞争、研发强度与股票收益——基于文本分析的行业分类方法(中文版)
采用新的行业分类方法对2015-2018年中国A股上市的所有非金融类公司进行分类,研究产品市场竞争、研发强度与股票收益之间的关系。采用Fama-French三因素模型、Carhart四因素模型和Fama-French五因素模型进行单因素和双因素分组回归。研究结果表明,当产品市场竞争激烈时,研发强度对股票收益的正向影响最强。这些规则对国有企业和私营企业的子样本仍然有效。与传统的行业分类方法相比,本文提出的基于文本分析的行业分类方法具有更强的信息量,特别是对于小市值公司。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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