{"title":"Does textual risk information from individual banks exacerbate systemic risk? Evidence from the Chinese banking system","authors":"Zhinan Li , Yaqi Ren , Peilong Shen , Can Zhang","doi":"10.1016/j.econmod.2025.107251","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates whether textual risk information from individual banks exacerbates systemic risk in the Chinese banking system. In doing so, it addresses an important gap in traditional financial risk theory in which the role of information dissemination in amplifying systemic risk is ignored. Using 2018–2022 data covering 24 Chinese listed commercial banks, we employ a panel fixed effects model to assess how each bank's textual risk information influences industry risk and systemic risk. We construct a novel textual risk information index based on online financial news and investor discussions. We find that textual risk information significantly affects the risk of the banking industry and exacerbates systemic risk. Further analysis demonstrates that asset size plays a limited role in differentiating the impact of risk information on systemic risk, which indicates that larger banks do not disclose enough risk information. These findings suggest an information-driven perspective for bank risk measurement and early warning in financial risk management.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107251"},"PeriodicalIF":4.7000,"publicationDate":"2025-07-29","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/S0264999325002469","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
Abstract
This paper investigates whether textual risk information from individual banks exacerbates systemic risk in the Chinese banking system. In doing so, it addresses an important gap in traditional financial risk theory in which the role of information dissemination in amplifying systemic risk is ignored. Using 2018–2022 data covering 24 Chinese listed commercial banks, we employ a panel fixed effects model to assess how each bank's textual risk information influences industry risk and systemic risk. We construct a novel textual risk information index based on online financial news and investor discussions. We find that textual risk information significantly affects the risk of the banking industry and exacerbates systemic risk. Further analysis demonstrates that asset size plays a limited role in differentiating the impact of risk information on systemic risk, which indicates that larger banks do not disclose enough risk information. These findings suggest an information-driven perspective for bank risk measurement and early warning in financial risk management.
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.