Using threshold regression to analyze the impact of external earnings pressure on stock price crash risk based on management tone in China
Kuang-Cheng Chai,
Jia-Hui Zhang,
Zi-Lu Wang,
Yu-Tian Qiu,
Yen-Chun Lai,
Ke-Chiun Chang and
Yang Yang
Applied Economics, 2024, vol. 56, issue 51, 6273-6287
Abstract:
Each stock market crash, from the 2015 China crash to the 2020 new coronavirus crash, has left investors terrified and hit China’s economy hard. Companies that fail to meet financial analysts’ surplus forecasts can trigger a negative market reaction. This reaction directly affects management and investor decisions and increases the risk of corporate share price collapse. Corporate management will therefore attempt to restrain excessive investor expectations by releasing a negative management tone designed to induce investors to invest scientifically and rationally, thereby reducing the risk of share price collapse. This study empirically examines the impact of external earnings pressure on stock price crash risk. It determines whether management tone has a threshold effect using, data on A-share listed companies in Shenzhen and Shanghai, China, covering 2014 to 2020. The results show that external earnings pressure significantly increases the risk of the stock price collapse; management tone has a single threshold effect on external earnings pressure and stock price collapse risk; a significantly negative correlation is observed between external earnings pressure and stock price collapse risk when management tone is below the threshold. This study provides sound advice for analysts, management and investors to better prevent and control risk.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2023.2273233 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:applec:v:56:y:2024:i:51:p:6273-6287
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/00036846.2023.2273233
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().