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Financial Fraud Identification of the Companies Based on the Logistic Regression Model

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成果类型:
期刊论文
作者:
Guan, Heshan;Li, Siying;Wang, Qian;Lyulyov, Oleksii;Pimonenko, Tetyana
作者机构:
[Li, Siying; Guan, Heshan] Univ South China, Sch Econ Management & Law, Guangzhou, Peoples R China.
[Wang, Qian] Fujian Normal Univ, Sch Econ, Fuzhou, Peoples R China.
[Lyulyov, Oleksii; Pimonenko, Tetyana] WSB Univ, Fac Appl Sci, Dept Management, Poznan, Poland.
[Pimonenko, Tetyana] Sumy State Univ, Inst Business Econ & Management, Dept Mkt Acad & Res, Sumy, Ukraine.
语种:
英文
关键词:
cryptocurrency fraud;financial statement;investment activities;logistic regression model JEL Classification;M41;G20;G32;O16
期刊:
JOURNAL OF COMPETITIVENESS
ISSN:
1804-171X
年:
2022
卷:
14
期:
4
页码:
155-171
基金类别:
Scientific Research Fund of Hunan Provincial Education Department [21A0262]
机构署名:
本校为第一机构
摘要:
Companies' financial fraud provokes declining market asset allocation efficiency and significantly impacts trust and loyalty among all company's stakeholders. Most investigations focused on the prediction of accounting fraud; less research concentrated on financial restatements. In this case, the paper aims to develop a model for identifying the companies' financial fraud according to the developed index system construction based on financial statements and relationships between their items. The study applies the following stages: 1) analysis of the theoretical framework of the core determinan...

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