Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 1


Published
on

December 15, 2021


Pages

591-600


DOI

Article

Mathematical modelling of enterprise financial risk assessment based on risk conduction model

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Authors

Xuesong Hu Affiliation:
Shangqiu Polytechnic, Shangqiu, Henan, 476000, China
and Bishr Muhamed Muwafak Affiliation:
Department of Accounting and Finance, Faculty of Administrative Sciences, Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

Risk transmission has three elements: risk source, risk flow and risk carrier. The paper quotes the asymmetric model and the joint asymmetric model to analyse the conduction effects of financial risks. At the same time, the article uses the elasticity coefficient to quantitatively calculate the risk transmission effect of the two supply chain financial financing modes. The research results prove that the risk transmission ability of each financial market has individual differences, and the foreign exchange market does not have significant risk transmission ability to other markets during the rising stage. The joint asymmetric model is more effective in predicting corporate financial risks.


Keywords

risk transmission, asymmetry, financial risk, mathematical modelling, linear regression, 62J05


Citation

Hu, X. & Muwafak, B. M. (2021). Mathematical modelling of enterprise financial risk assessment based on risk conduction model. Applied Mathematics and Nonlinear Sciences, 6(1), 591–600. https://doi.org/10.2478/amns.2021.1.00082

Published by: Engineering Journals

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