商业研究

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管理层超额乐观语调与企业财务危机预测 ——基于年报前瞻性信息的分析

苗霞1,2,李秉成1   

  1. (1.中南财经政法大学 会计学院,武汉〓430073;2. 河南牧业经济学院,郑州〓450000)
  • 收稿日期:2018-11-14 出版日期:2019-02-15
  • 作者简介:苗霞(1983-),女,河南济源人,中南财经政法大学会计学院博士研究生,河南牧业经济学院讲师,研究方向:企业财务危机;李秉成(1964-),男,湖南邵阳人,中南财经政法大学会计学院教授,博士生导师,管理学博士,研究方向:企业财务危机。
  • 基金资助:
    国家自然科学基金面上项目,项目编号:71872183;中南财经政法大学研究生科研创新项目,项目编号:2017Y26;河南省科技厅软科学研究项目资助。

Excess Optimistic Tone and Financial Distress Prediction:An Analysis based on the Forward-looking Information in Annual Report

MIAO Xia1,2,LI Bing-cheng1   

  1. (1.Accounting School,Zhongnan University of Economics and Law,Wuhan 430073,China; 2.Henan University of Animal Husbandry and Economy, Zhengzhou 450000,China)
  • Received:2018-11-14 Online:2019-02-15

摘要: 本文基于印象管理理论和文本分析方法,研究财务报告前瞻性信息中管理层超额乐观语调对企业财务危机的预测价值。研究发现,前瞻性信息中超额乐观语调水平越高,企业未来发生财务危机的可能性越低,而前瞻性信息的不一致性会削弱二者的负向相关性。进一步区分公司的外部信息环境,发现在分析师关注度低、产品市场竞争程度高时,超额乐观语调与财务危机预测的相关性更强,但该环境中,信息不一致性的负向调节效应也更显著。文章拓展和丰富了文本信息语调特征的相关研究,同时为行为财务研究提供了经验证据。

关键词: 超额乐观语调, 信息不一致性, 财务危机预测

Abstract: Based on the theory of impression management and text analysis method, this paper studies the value of the excess optimistic tone in the forward-looking information on corporate financial distress prediction. The study finds that the higher the degree of excess optimistic tone in the forward-looking information, the lower the probability of a financial distress in the future, and the inconsistency of forward-looking information would weaken the negative correlation. Further distinguishing the company′s external information environment, it is found that when the analyst′s attention is lower and the product market is higher competitive, the relationship between excess optimism tone and financial distress prediction is stronger, but the negative adjustment effect of information inconsistency is also stronger. This study expands and enriches the related research on the tone of text information, and provides empirical evidence for behavioral finance research.

Key words: excess optimistic tone, inconsistency of information, financial distress prediction