A Bank Credit Decision Model Based on Bi-Objective Planning
DOI:
https://doi.org/10.54691/bcpbm.v24i.1428Keywords:
Credit model; Risk assessment model, Multiple logistic regression objective planning.Abstract
Since the implementation of market economy, credit business of commercial banks has been the main source of their revenue and credit risk is also the main risk they face. MSMEs are the main customers of commercial banks, and at the same time, MSMEs are characterized by small scale and lack of collateral assets. Therefore, it is of great significance to reasonably quantify the credit risks of MSMEs and formulate credit strategies to improve banks' returns. The problem of how commercial banks adjust their credit strategies for enterprises under the influence of unexpected factors. We select 10 representative manufacturing companies on the Shenzhen Stock Exchange to form manufacturing industry stocks to predict the impact of the new crown pneumonia on manufacturing returns.
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References
Wang Jingjing. Research on the difficulties and countermeasures of financing for small and medium-sized enterprises [J]. China Small and Medium Enterprises,2020,(07):185-186.
MyersStewart C, Majluf Nicholas S. Corporate financing and investment decisions when firms have information that investors do not have [J]. Journal of Financial Economics. 1984(2)
Anke Valentin, Thomas Henschel. Do guarantee banks mitigate credit restrictions for SMEs [J]. Int. J. of Entrepreneurship and Small Business . 2013(4)
Hakkon Kim Jonathan A, Batten Doojin Ryu. Financial crisis, bank diversification, and financial stability: OECD countries [J]. International Review of Economics and Finance . 2020(C)
Hepu Deng, Chung-Hsing, Yeh Robert J. Willis. Inter-company comparison using modfied TOPSIS with objective weights [J]. Computers and Operations Research . 2000 (10)
Capital Asset Pricing Model, https://wiki.mbalib.com/wiki/CAPM, 2020.9.12.
Shenzhen Stock Exchange, http://www.szse.cn/market/stock/deal/index.html4,2020.9. 12.
Jan Bartholdy, Paula Peare. Estimation of expected return: CAPM vs Fama and French [J]. International Review of Financial Analysis . 2004(4)
Xinghuo Wan, Shan Yu, Zengping Yu, Yongchao Jin. Research on Teaching Quality Evaluation of Postgraduate Courses Based on Entropy Weight TOPSIS Model——Taking "Mathematical Statistics" Course as an Example [J]. Modernization of Education. 2019(96))
Su Minyan, Wang Zihong, Zheng Huiling, Zhang Nana, Gao Shan. Research on regional differences in health resource allocation in Jiangsu Province based on entropy-weight-TOPSIS method [J]. Health Soft Science,2020,34(09):62-65.






