Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 30, 2021


Pages

661-668


DOI

Article

Regression function model in risk management of bank resource allocation

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Authors

Hongzhi Zhang Affiliation:
School of Economics and Management, Shenyang Ligong University, Shenyang 110159, China


Abstract

Commercial bank asset-liability management is a method of overall risk control and resource allocation. It has an essential impact on commercial banks’ operational safety and affects the stability of a country's overall financial system due to the domino effect. The article chooses the regression function model to measure the expected default frequency (EDF) in the resource allocation risk of Chinese banks. It analyses the transmission process of the impact of the main macroeconomic variables on the EDF of the resource allocation risk of Chinese commercial banks. The study found that under the significance level of 5%, standardised industrial output growth rate, money supply growth rate, and real estate price index are the main reasons for the changes in bank resource allocation risk EDF.


Keywords

ice EDF model, regression function model, bank resource allocation, credit risk, expected default frequency, 62G08


Citation

Zhang, H. (2021). Regression function model in risk management of bank resource allocation. Applied Mathematics and Nonlinear Sciences, 6(1), 661–668. https://doi.org/10.2478/amns.2021.1.00093

Published by: Engineering Journals

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