Research on Financial Quality Evaluation of New Energy Listed Companies based on Factor Analysis and Cluster Analysis

Ziyu Huang

2022

Abstract

This paper will study the financial conditions of 118 listed companies in the energy industry in 2020, extract four common factors reflecting four aspects of financial conditions from 12 indicators by factor analysis, and rank the companies by calculating the scores of each factor and the total scores. According to the four factors extracted, the clustering analysis is carried out on the companies, and the 118 companies are divided into three types by means of multiple comparison of the mean value, namely, strong companies, ordinary companies and problem companies, which provides certain basis for the managers to make business decisions and investors to make investment decisions. Finally, countermeasures and suggestions are put forward to improve the operating performance of listed companies in the energy industry, pointing out the direction for energy enterprises to improve their performance and better development.

Paper Citation

in Harvard Style

Huang Z. (2022). Research on Financial Quality Evaluation of New Energy Listed Companies based on Factor Analysis and Cluster Analysis. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 986-991. DOI: 10.5220/0011361600003440

in Bibtex Style

@conference{bdedm22,
author={Ziyu Huang},
title={Research on Financial Quality Evaluation of New Energy Listed Companies based on Factor Analysis and Cluster Analysis},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={986-991},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011361600003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on Financial Quality Evaluation of New Energy Listed Companies based on Factor Analysis and Cluster Analysis
SN - 978-989-758-593-7
AU - Huang Z.
PY - 2022
SP - 986
EP - 991
DO - 10.5220/0011361600003440