Analysis and Prediction of the Causes of Non-Performing Loans: A Case Study of China

Authors

  • Bowen Qi

DOI:

https://doi.org/10.54097/a0196c82

Keywords:

non-performing loan; market factors; time series regression model; prediction.

Abstract

This paper conducts a case study of China to analyze and predict the causes of non-performing loans. Firstly, by defining and classifying non-performing loans, the paper analyzes the causes of non-performing loans, including the macroeconomic environment, internal bank management, and market competition. Secondly, using the time series analysis method, the paper predicts the non-performing loan ratio of China from 2020 to 2021. The results show that the time series regression model can predict the non-performing loan ratio well. Finally, based on the causes of non-performing loans and the prediction results, the paper proposes corresponding suggestions, including strengthening macroeconomic regulation and improving internal bank management. The paper also analyzes the shortcomings and limitations of the prediction method and provides prospects for the future. This paper has particular reference value for the causes and prediction of non-performing loans and can provide some reference for relevant departments and financial institutions.

Downloads

Download data is not yet available.

References

Luc, L., Ross, L., Bank governance, regulation and risk taking. Journal of Financial Economics, vol. 93, no. 2, 2009, 259-275, 2008.

Wang, SH., Case Analysis of Non-performing Loan Management of Jinzhou Bank [D]. Hebei University of Finance, 2023.

Cao, F.,Ding, WF., Analysis of Inside and Outside Factors of Resolving Chinese State-owned Commerc ial Banks’ Bad Loan, Journal of Northwest A&F University (Social Science Edition),4(3), 2004.

Xie, B., Analysis of Macroeconomic Influencing Factors of Non-performing Loans in Commercial Banks [J]. Theory and Practice of Finance and Economics, 30(06): 22-25, 2009.

Nikola, R., Drago, C., Dejan, S., Dejana, P., Srdjan J., Goran M., Econometric model of non-performing loans determinants, Physica A: Statistical Mechanics and its Applications, 520: 481-488, 2019.

Dai, JX., Zhao, Z., Huang, X., Bank Management (3rd edition), Wuhan, Wuhan University Press, pp. 11-15, 35-45, 2019.

Hong, W., Catherine, S. F., Jean-Pierre, F., John, V., The determinants of bank loan recovery rates in good times and bad – New evidence, Journal of Economic Behavior & Organization,Volume 177,2020, Pages 875-897.

Zhou, Y., Optimization Research on the Disposal Methods of Non-performing Assets of State-owned Commercial Banks in China [D]. Southwestern University of Finance and Economics, 2021.

John, P.B., Huang,YP., Dealing with the bad loans of the Chinese banks, Journal of Asian Economics, 12(2): 197-214, 2001.

Coase, R.H., The Nature of the Firm. Economica, 4(26): 386-405, 1937.

Downloads

Published

29-03-2024