Financial Distress Early Warning for Chinese Enterprises from a Systemic Risk Perspective: Based on the Adaptive Weighted XGBoost-Bagging Model

Financial Distress Early Warning for Chinese Enterprises from a Systemic Risk Perspective: Based on the Adaptive Weighted XGBoost-Bagging Model

This paper aims to tackle the problem of low accuracy in predicting financial distress in Chinese industrial enterprises, attributable to data imbalance and insufficient information. It utilizes annual data on systemic risk indicators and financial metrics of Chinese industrial enterprises listed on...

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Bibliographic Details
Main Authors: Wensheng Wang, Zhiliang Liang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Systems
Subjects:
systemic risk
financial distress early warning
adaptive weighted XGBoost-Bagging model
Online Access:https://www.mdpi.com/2079-8954/12/2/65

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