{"title":"The impact of MD&A digital transformation information disclosure on stock price synchronicity in China","authors":"Jinwen Guo , Jiangjiao Duan","doi":"10.1016/j.najef.2024.102253","DOIUrl":null,"url":null,"abstract":"<div><p>With the continuous development of the global digital economy, digital transformation has become an important path for enterprises. The management discussion and analysis (MD&A) section of listed companies’ annual reports has progressively incorporated detailed information on their ongoing digital transformation efforts, reflecting the growing significance of this trend in corporate reporting. This paper uses data from 2011 to 2022 of A-share listed companies in China to investigate whether and how the MD&A digital transformation information affects the stock price synchronicity. The frequency of keywords related to digital transformation within the MD&A section of the annual report is analyzed and measured to quantify digital transformation information. The results show that digital transformation information in MD&A can significantly reduce stock price synchronicity. Further mechanism tests show that analyst and media act as information intermediaries to disseminate more firm-specific information to the market. In addition, heterogeneity tests show that this effect is mainly reflected in state-owned companies and larger companies. These findings provide valuable insights for policymakers, investors, and regulators in planning regulations.</p></div>","PeriodicalId":47831,"journal":{"name":"North American Journal of Economics and Finance","volume":"74 ","pages":"Article 102253"},"PeriodicalIF":3.8000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"North American Journal of Economics and Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1062940824001785","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
With the continuous development of the global digital economy, digital transformation has become an important path for enterprises. The management discussion and analysis (MD&A) section of listed companies’ annual reports has progressively incorporated detailed information on their ongoing digital transformation efforts, reflecting the growing significance of this trend in corporate reporting. This paper uses data from 2011 to 2022 of A-share listed companies in China to investigate whether and how the MD&A digital transformation information affects the stock price synchronicity. The frequency of keywords related to digital transformation within the MD&A section of the annual report is analyzed and measured to quantify digital transformation information. The results show that digital transformation information in MD&A can significantly reduce stock price synchronicity. Further mechanism tests show that analyst and media act as information intermediaries to disseminate more firm-specific information to the market. In addition, heterogeneity tests show that this effect is mainly reflected in state-owned companies and larger companies. These findings provide valuable insights for policymakers, investors, and regulators in planning regulations.
期刊介绍:
The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.