上市公司违规与年报文本信息操纵
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F272.3

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国家自然科学基金青年项目“基于多模态机器学习的公司财务舞弊研究:识别、侦测及风险指数构建”(72102110);教育部人文社会科学研究一般项目“人工智能应用对企业成本管理的影响研究:基于成本粘性的视角”(21YJC630123)。


Corporate Fraud and Manipulation of Annual Report Text Information
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    摘要:

    上市公司违规不仅使财务报告的可信度急剧下降,而且严重损害了投资者的合法权益。以2007—2019年A股上市公司为研究样本,采用文本分析法识别年报非财务信息的“距离”“难度”“情感”等可视化信息,探讨上市公司在违规后对年报文本信息的操纵行为。研究发现:上市公司在发生违规后,公司年报文本信息的相似度显著降低、复杂度显著提高、语调显著乐观。同时,上述文本特征的系统性变化主要体现在违规之心较强、机会较多、需求较强烈以及被暴露概率较小组,表明公司利用年报文本信息精心掩饰违规是一种策略性行为。此外,上市公司精心掩饰违规行为减弱了短窗口市场反应、加剧了信息漂移现象、提高了股价崩盘风险。

    Abstract:

    Fraud of listed companies not only sharply reduce the credibility of financial reports,but also seriously damage the legitimate rights and interests of investors. Using 2007-2019 A-share listed companies as a research sample,taking text analysis to identify visual information such as “distance”,“difficulty”,“emotion”of the annual report non-financial information,and discussing the company’s response to the annual report text after a listed company violates regulations. This study find that after a listed company violated regulations,the similarity of the company’s annual report text information decreases,the complexity increases,and the tone becomes more optimistic. At the same time,the regular changes in the above-mentioned text characteristics are mainly reflected in the groups with strong violating intentions,more opportunities,strong demand, and low exposure probability,indicating that it is a strategic behavior for the company to use annual report text information to carefully conceal violations. In addition,the meticulous concealment of violations by listed companies has weakened the short-window market response,aggravated the phenomenon of post-earnings announcement drift,and increased the stock price crash risk.

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谭建华,王雄元.上市公司违规与年报文本信息操纵[J].中国软科学,2022,(3):99-111

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  • 在线发布日期: 2026-10-21
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