Research Article
Analysis and Evaluation of Evolution Characteristics of Corporate Convertible Bond Financing Based on Big Data
@INPROCEEDINGS{10.4108/eai.17-6-2022.2322784, author={Yanzhi Xie}, title={Analysis and Evaluation of Evolution Characteristics of Corporate Convertible Bond Financing Based on Big Data}, proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2022}, month={10}, keywords={big data; corporate convertible bond financing; evolutionary characteristics; entropy weight analysis}, doi={10.4108/eai.17-6-2022.2322784} }- Yanzhi Xie
Year: 2022
Analysis and Evaluation of Evolution Characteristics of Corporate Convertible Bond Financing Based on Big Data
ICIDC
EAI
DOI: 10.4108/eai.17-6-2022.2322784
Abstract
This paper analyzes the evolution characteristics of convertible bond financing in enterprises, and improves the ability of healthy operation and management of enterprise accounting. Based on big data and entropy weight analysis, this paper proposes an analysis and evaluation method of the evolution characteristics of corporate convertible bond financing. A big data analysis model for the evolution characteristics of corporate convertible bond financing is constructed. The entropy weight model of corporate convertible bond financing evolution is optimized by random entropy weight distributed reorganization method, and a sequence reconstruction model for information transmission of corporate convertible bond financing evolution is constructed, and entropy weight is balanced.
