Year: 2024
Type: article
Abstract: By constructing a text quality analysis system and company quality analysis system based on a prospectus, the intelligent analysis method of investment banking IPO business risk is proposed based on the machine learning method and text analysis technology. Taking the Sci-Tech Innovation Board in China as a sample, the empirical analysis results show that the text quality and the company quality disclosed in the prospectus can affect the withdrawal rate of investment banking IPO business. By carrying out a text analysis and machine learning on the text quality and company quality, the risk of investment banking IPO business can be predicted intelligently and effectively. The research results can not only improve the business efficiency of investment banking IPO, and save resource cost, but also improve the standardization and authenticity of investment banking IPO business.
Source: Information
DOI: 10.3390/info15080498
Authors: Lei Zhang, Chao Wang, Xiaoxing Liu
Institutions: Southeast University, Nanjing Agricultural University
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,819
Awards: G3532714477, G4831041080
OpenAlex ID: W4401975306