Comprehensive Evaluation and Analysis of RMB Credit Fund Balance Sheet of Financial Institutions in China
Abstract
analysis method, and uses EXCEL and SPSSAU software to make a comprehensive evaluation from the two aspects of fund source and fund
utilization. Firstly, the entropy method is used to determine the influence degree of the above two factors; secondly, on the basis of considering the influence degree, the trend and the relationship. The comprehensive factor score Fsource and Futilization are obtained, and the trend and
relationship between Fsource and Futilization are compared and analyzed.
Keywords
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[1] Lin X. Research on the preparation and application of the government balance sheet [D]. Shandong Industry and Business Univer_x005fsity, 2018:1-2.
[2] Wang YX. Analysis of the period difference of the tail risk and its influencing factors of listed financial institutions in China [D].
Dongbei University of Finance and Economics, 2022:1-2.
[3] Yang P. Research on risk control of ZZ Bank [D]. Henan University of Science and Technology, 2022:1-2.
[4] Li YC. Analysis of the supply and demand of rural financial credit funds in Lufeng County, Yunnan Province [D]. Yunnan University of Finance and Economics, 2021:1-2.
[5] Zhang YZ. Comprehensive evaluation of the performance of listed agricultural companies based on the entropy value method [J].
Rural economy and science and technology, 2022:1-2.
[6] Zhao YC. Study on the performance evaluation of water-saving irrigation in potato based on factor analysis and cluster analysis [D].
Yunnan Normal University, 2021:34-35.
[7] Guo ZM. Research on the construction of Z-Score real estate enterprises based on factor analysis [D]. Jiangxi Normal University,
2021:10-12.
[8] Dai J. Analysis and research on the profitability of L Chemical Company based on the factor analysis method [D]. Shenyang Jianzhu University, 2021:19-27.
[9] Li DR. Comprehensive strength assessment of various cities in Hebei Province based on multivariate statistical analysis [D]. Dalian
University of Technology, 2021:10-16.
[10] Jiang PJ. The CC automotive financial performance evaluation study based on the factor analysis method [D]. Liaoning Petrochemical University, 2021:10-27.
[11] Qian ZN. Impact factor analysis of high-quality economic development level in East China [D]. Hangzhou Xidian University,
2021:18-22.
[12] Wang XT. Study on the influence of economic policy uncertainty on the credit risk of bank financial institutions [J]. Industrial Innovation Research, 2023 (01): 126-128.
[13] Li YH, Li ZS, Sun LN, Wang CZ, Li M. The Project Group of the People’s Bank of China Nong’ an County Sub-branch, Research
on the development of green industry supported by banking financial institutions in economically underdeveloped Areas —— Take Nong’an
County as an example [J]. Jilin Financial Research, 2022 (11): 47-49 + 62.
[14] Lu Y. Research on the strengthening strategies of financial credit management [J]. National Circulation economy, 2022 (29): 133-
136.
[15] Ren XY. The selection and optimization of credit technology in rural financial institutions [J]. Journal of Jingdezhen University,
2022,37 (03): 66-69.
DOI: http://dx.doi.org/10.18686/fm.v8i6.11736
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