Are risk disclosures in financial reports informative? A text mining-based perspective

被引:1
|
作者
Zhu, Xiaoqian [1 ,2 ]
Li, Jianping [1 ,2 ]
Wang, Yinghui [1 ]
机构
[1] Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China
[2] UCAS, MOE Social Sci Lab Digital Econ Forecasts & Policy, Beijing, Peoples R China
来源
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
FIRMS;
D O I
10.1057/s41599-024-04169-w
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This paper studies whether the risk factors disclosed in financial reports are as informative as SEC requires. The subprime crisis is used as a typical real-risk event to test their informativeness by text mining methods. By analyzing the textual attributes and specific contents of the risk disclosures in 14089 Form 10-K statements of 1,685 financial firms from 2006 to 2022, the results show that firms tend to disclose risks in more specific and negative language and significantly reduce stickiness and boilerplate during the subprime crisis. This paper also finds that the changes of risk factors are consistent with the actual risk profile before, during and after the subprime crisis. The failed institutions during the crisis have disclosed more risks related to the subprime crisis using a more negative tone than the survived institutions. These findings all provide evidence that the risk factors in Form 10-K are informative and not invariable boilerplate.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Text mining-based measurement of precision of polysomnographic reports as basis for intervention
    Florent Baty
    Jemima Hegermann
    Tiziana Locatelli
    Claudio Rüegg
    Christian Gysin
    Frank Rassouli
    Martin Brutsche
    Journal of Biomedical Semantics, 13
  • [2] Text mining-based measurement of precision of polysomnographic reports as basis for intervention
    Baty, Florent
    Hegermann, Jemima
    Locatelli, Tiziana
    Rueegg, Claudio
    Gysin, Christian
    Rassouli, Frank
    Brutsche, Martin
    JOURNAL OF BIOMEDICAL SEMANTICS, 2022, 13 (01)
  • [3] An improved text mining-based space mission risk classification approach
    Sapountzoglou, Nikolaos
    Andrikos, Nikos
    ACTA ASTRONAUTICA, 2023, 207 : 353 - 360
  • [4] Text Mining-based Enterprise Financial Performance Evaluation in the Context of Enterprise Digital Transformation
    Guo, Changrong
    Xing, Jing
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (06) : 1394 - 1404
  • [5] Text Mining-Based Drug Discovery in Osteoarthritis
    Yu, Rong-Guo
    Zhang, Jia-Yu
    Liu, Zhen-Tao
    Zhuo, You-Guang
    Wang, Hai-Yang
    Ye, Jie
    Liu, Nannan
    Zhang, Yi-Yuan
    JOURNAL OF HEALTHCARE ENGINEERING, 2021, 2021
  • [6] A text mining-based review of the literature on dynamic capabilities perspective in information systems research
    Talafidaryani, Mojtaba
    MANAGEMENT RESEARCH REVIEW, 2021, 44 (02): : 236 - 267
  • [7] Athena: Mining-based interactive management of text databases
    Agrawal, R
    Bayardo, R
    Srikant, R
    ADVANCES IN DATABSE TECHNOLOGY-EDBT 2000, PROCEEDINGS, 2000, 1777 : 365 - 379
  • [8] Measuring Risk Premiums Using Financial Reports and Actuarial Disclosures
    Zimmermann, Jochen
    Veith, Stefan
    Schymczyk, Johannes
    GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 2015, 40 (02): : 209 - 231
  • [9] Measuring Risk Premiums Using Financial Reports and Actuarial Disclosures
    Jochen Zimmermann
    Stefan Veith
    Johannes Schymczyk
    The Geneva Papers on Risk and Insurance - Issues and Practice, 2015, 40 : 209 - 231
  • [10] Text Classification using Graph Mining-based Feature Extraction
    Jiang, Chuntao
    Coenen, Frans
    Sanderson, Robert
    Zito, Michele
    RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVI: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVII, 2010, : 21 - 34