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Does Patent Help to Build Investment Portfolio of China A-Shares under China-US Trade Conflict?

机译:专利是否有助于在中国 - 美国贸易冲突下建立中国A股投资组合?

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Patent, a legal representation of innovation achievement, is strongly meaningful for almost every country’s economic growth and technology development. China, the world’s no. 2 stock market, is the world’s largest patent application country. In this study, we observed 2,197 China-listed companies of Renminbi (RMB) common stocks (A-shares) from 2016 to 2018. The relationship among 570 valid patent indicators and financial indicators of the stock price, Return-on-Assets (ROA), and Return-on-Equity (ROE) was examined. We constructed patent leading indicators, patent kernel indicators, and patent prediction equations for predicting the stock price, ROA, and ROE using the Granger causality test and the dynamic time series forecast model. The stock performance of investment portfolios based on patent prediction equations was thoroughly discussed. We found that investment portfolios constructed by the higher predictive ROA, the higher predictive ROE, and the higher predictive stock price growth rate have better performance than the A-shares’ average. The underlying concept behind this study is that despite the overall economic environment fluctuation and the China-US trade conflict, the patent-based algorithm proposed was proved to be useful to discover good investment portfolios.
机译:专利,创新成就的法律代表性,对几乎所有国家的经济增长和技术发展都是非常有意义的。中国,世界没有。 2股票市场,是世界上最大的专利申请国。在这项研究中,我们从2016年到2018年观察了人民币(人民币)普通股(人民币)普通股(A股)的2,197家中国上市公司。570名有效的专利指标和股票价格的财务指标之间的关系,资产回报(ROA ),检查股权返绩(ROE)。我们构建了专利领先指标,专利核指示符和专利预测方程,用于预测使用GRANGER因果序列测试和动态时间序列预测模型的股票价格,ROA和ROE。彻底讨论了基于专利预测方程的投资组合的股票表现。我们发现,由更高的预测ROA,更高的预测性资源和更高的预测性股票价格增长率构建的投资组合具有比A股平均值更好的性能。本研究背后的潜在概念是,尽管整体经济环境波动和中美贸易冲突,但拟议的基于专利的算法是有助于发现良好的投资组合。

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