{"title":"企业管理者会从股价中获取信息吗?来自中国战略性新兴产业的新证据","authors":"Zhiwei Xu , Xuan Liu , Teng Zhang , Pengyue Ren","doi":"10.1016/j.econmod.2024.106874","DOIUrl":null,"url":null,"abstract":"<div><p>Strategic emerging industries (SEIs) have become the pillar industries in China. However, prior studies argue that the Chinese stock market fails to adequately support the development of SEIs by primarily considering its financing function while ignoring its market feedback role. Based on data from 2007 to 2020, our study fills this gap by examining whether managers of Chinese SEI firms glean information from stock prices to guide their investment decisions. We find a significantly positive relationship between stock price informativeness (proxied by the volume-synchronized probability of informed trading) and investment-to-price sensitivity in the SEI firms only, indicating that managers of the SEI firms exhibit prominent learning behaviors. We further reveal that high growth prospects and high sensitivity of corporate fundamentals to macroeconomic factors contribute to the learning behaviors in China's SEIs. Our study sheds light on the role of the Chinese stock market in supporting the SEIs' evolution.</p></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"141 ","pages":"Article 106874"},"PeriodicalIF":4.2000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Do corporate managers glean information from their stock prices? New evidence from China's strategic emerging industries\",\"authors\":\"Zhiwei Xu , Xuan Liu , Teng Zhang , Pengyue Ren\",\"doi\":\"10.1016/j.econmod.2024.106874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Strategic emerging industries (SEIs) have become the pillar industries in China. However, prior studies argue that the Chinese stock market fails to adequately support the development of SEIs by primarily considering its financing function while ignoring its market feedback role. Based on data from 2007 to 2020, our study fills this gap by examining whether managers of Chinese SEI firms glean information from stock prices to guide their investment decisions. We find a significantly positive relationship between stock price informativeness (proxied by the volume-synchronized probability of informed trading) and investment-to-price sensitivity in the SEI firms only, indicating that managers of the SEI firms exhibit prominent learning behaviors. We further reveal that high growth prospects and high sensitivity of corporate fundamentals to macroeconomic factors contribute to the learning behaviors in China's SEIs. Our study sheds light on the role of the Chinese stock market in supporting the SEIs' evolution.</p></div>\",\"PeriodicalId\":48419,\"journal\":{\"name\":\"Economic Modelling\",\"volume\":\"141 \",\"pages\":\"Article 106874\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Modelling\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0264999324002311\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999324002311","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
摘要
战略性新兴产业已成为中国的支柱产业。然而,以往的研究认为,中国股市主要考虑其融资功能,而忽视了其市场反馈作用,未能充分支持战略性新兴产业的发展。我们的研究基于 2007 年至 2020 年的数据,通过考察中国 SEI 企业的管理者是否从股票价格中获取信息来指导其投资决策,填补了这一空白。我们发现,仅在证券投资公司中,股价信息性(用知情交易的成交量同步概率表示)与投资对价格的敏感性之间存在明显的正相关关系,表明证券投资公司的经理人表现出突出的学习行为。我们进一步揭示,高增长前景和企业基本面对宏观经济因素的高敏感性有助于中国 SEI 企业的学习行为。我们的研究揭示了中国股票市场在支持证券投资公司发展中的作用。
Do corporate managers glean information from their stock prices? New evidence from China's strategic emerging industries
Strategic emerging industries (SEIs) have become the pillar industries in China. However, prior studies argue that the Chinese stock market fails to adequately support the development of SEIs by primarily considering its financing function while ignoring its market feedback role. Based on data from 2007 to 2020, our study fills this gap by examining whether managers of Chinese SEI firms glean information from stock prices to guide their investment decisions. We find a significantly positive relationship between stock price informativeness (proxied by the volume-synchronized probability of informed trading) and investment-to-price sensitivity in the SEI firms only, indicating that managers of the SEI firms exhibit prominent learning behaviors. We further reveal that high growth prospects and high sensitivity of corporate fundamentals to macroeconomic factors contribute to the learning behaviors in China's SEIs. Our study sheds light on the role of the Chinese stock market in supporting the SEIs' evolution.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.