Do textual risk disclosures reveal corporate risk? Evidence from US fintech corporations

被引:4
作者
Wei, Lu [1 ]
Jing, Haozhe [1 ]
Huang, Jie [2 ]
Deng, Yuqi [1 ]
Jing, Zhongbo [1 ,3 ]
机构
[1] Cent Univ Finance & Econ, Sch Management Sci & Engn, Beijing 102206, Peoples R China
[2] Cent Univ Finance & Econ, Sch Finance, Beijing 102206, Peoples R China
[3] Cent Univ Finance & Econ, Sch Management Sci & Engn, Shahe Higher Educ Pk, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Fintech risk; Risk measurement; Textual risk disclosures; Textual analysis; Bankruptcy risk; FINANCIAL RATIOS; PREDICTION; VOLATILITY; MANAGEMENT; INNOVATION; SEARCH; IMPACT;
D O I
10.1016/j.econmod.2023.106461
中图分类号
F [经济];
学科分类号
02 ;
摘要
Current measures based on quantitative data do not fully assess the fintech corporate risk. This paper advocates a new text-based measure for estimating fintech corporate risk: fintech risk sentiment index, which is constructed from perspectives of investors and managers respectively based on qualitative textual risk disclosures. The paper establishes the relationship between the proposed index and fintech corporate bankruptcy risk to examine how well our measure of fintech corporate risk is. Based on 78,084 sentences collected from 229 Form 10-K documents of 33 U.S. fintech companies from 2015 to 2021, we find that the fintech risk sentiment index helps explain fintech corporate bankruptcy. Especially the managers' fintech risk sentiment index has a more significant impact on corporate bankruptcy compared to investors' fintech risk sentiment index. The findings prove that the fintech risk sentiment index can reveal fintech corporation instability, which helps regulators to augment early warning for the fintech industry.
引用
收藏
页数:22
相关论文
共 69 条
[1]   Does soft information determine credit risk? Text-based evidence from European banks [J].
Acheampong, Albert ;
Elshandidy, Tamer .
JOURNAL OF INTERNATIONAL FINANCIAL MARKETS INSTITUTIONS & MONEY, 2021, 75
[2]   The Information Value of Credit Rating Action Reports: A Textual Analysis [J].
Agarwal, Sumit ;
Chen, Vincent Y. S. ;
Zhang, Weina .
MANAGEMENT SCIENCE, 2016, 62 (08) :2218-2240
[3]   The drivers of cyber risk [J].
Aldasoro, Inaki ;
Gambacorta, Leonardo ;
Giudici, Paolo ;
Leach, Thomas .
JOURNAL OF FINANCIAL STABILITY, 2022, 60
[4]   FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND PREDICTION OF CORPORATE BANKRUPTCY [J].
ALTMAN, EI .
JOURNAL OF FINANCE, 1968, 23 (04) :589-609
[5]  
[Anonymous], 2005, Securities and exchange commission final rule
[6]  
[Anonymous], 2017, Financial Stability Implications from FinTech
[7]   Risk Management Committee and Textual Risk Disclosure [J].
Ayuningtyas, Eka Sari ;
Harymawan, Iman .
RISKS, 2022, 10 (02)
[8]   Innovate or die: Corporate innovation and bankruptcy forecasts [J].
Bai, Qing ;
Tian, Shaonan .
JOURNAL OF EMPIRICAL FINANCE, 2020, 59 :88-108
[9]   Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures [J].
Bao, Yang ;
Datta, Anindya .
MANAGEMENT SCIENCE, 2014, 60 (06) :1371-1391
[10]   Fintech and access to finance [J].
Bollaert, Helen ;
Lopez-de-Silanes, Florencio ;
Schwienbacher, Armin .
JOURNAL OF CORPORATE FINANCE, 2021, 68