An Analysis of the Authenticity of Financial Data of Listed Companies Based on Vector Machines
Year: 2022
Type: book-chapter
Abstract: Driven by the benefits of listing at a high premium, financial fraud in listed companies has become a widespread problem worldwide. In the face of economic interests, even developed countries with relatively complete laws and policies cannot completely eliminate financial fraud. The financial fraud incidents of listed companies have seriously disrupted the normal order of my country’s capital market. Therefore, the specific financial data of listed companies are analyzed to obtain the influence of financial indicators on the identification of financial fraud and to determine whether there is financial fraud in listed companies.
DOI: 10.3233/atde220092
Authors: Mingmin Gong, Lei Zheng, Jiayang Hou, Letao Wang, Xing Lu
Institution: Wuhan College
Language: English
Subfield: Accounting
Domain: Social Sciences
Open Access status: diamond
Funder: Wuhan University
OpenAlex ID: W4212782881