Enterprise Credit Risk Management Model Based on Super_SBM Model
Xiangdong Zhang
2022
Abstract
The current risk management model has the problem that the credit risk type is not clear, which leads to the poor goodness of fit performance of the model the credit risk management model based on SBM model. Calculate the enterprise exploration factor index, study the correlation degree between the observation variables, divide the credit risk types, establish the credit system, and use Super_ SBM model obtains index weight, extracts the importance of risk factors, establishes credit risk management model, and forecasts the decision-making results of enterprises. Experimental results: the mean goodness of fit of the risk management model and the other two risk management models is 0.4139, 0.4989, 0.807, proving that the fusion of Super_ SBM model has higher practical value in risk management.
DownloadPaper Citation
in Harvard Style
Zhang X. (2022). Enterprise Credit Risk Management Model Based on Super_SBM Model. In Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI; ISBN 978-989-758-620-0, SciTePress, pages 813-819. DOI: 10.5220/0011768200003607
in Bibtex Style
@conference{icpdi22,
author={Xiangdong Zhang},
title={Enterprise Credit Risk Management Model Based on Super_SBM Model},
booktitle={Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI},
year={2022},
pages={813-819},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011768200003607},
isbn={978-989-758-620-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Public Management, Digital Economy and Internet Technology - Volume 1: ICPDI
TI - Enterprise Credit Risk Management Model Based on Super_SBM Model
SN - 978-989-758-620-0
AU - Zhang X.
PY - 2022
SP - 813
EP - 819
DO - 10.5220/0011768200003607
PB - SciTePress