Financial Management Perspective

Financial Management Perspective

Sustainable policy-making of financial systems in crisis situations with modelling based on artificial neural networks

Document Type : Original Article

Authors
Saba GhaziAskari 1
Najmeh Neshat 2
AbbasAli Jafari Nodoushan 3
1 M.A. Student in Industrial Engineering, Meybod University, Meybod, Iran
2 Assistant Prof., Department of Industrial Engineering, Meybod University, Meybod, Iran
3 Assistant Prof., Department of Industrial Engineering, Meybod University, Meybod, Iran.
10.52547/JFMP.12.38.103
Abstract
Due to the rapid advancement of technology and computer technologies, a more accurate model of this phenomenon can be drawn based on previous experiences and used in the form of a decision support system. Relying on the generalizability of artificial neural network models, this approach has been used to model the dynamics of the financial crisis phenomenon. Variables of economic status, GDP, export value index, import value index, time position and geographical location of each country during the financial crisis as inputs of the artificial neural network model and the optimal combination of policies to deal with the financial crisis as Model output is defined. In order to show the capability of the proposed model, how to design and implement the proposed system in the event of a Covid-19 virus outbreak crisis in Iran was explored. The results indicate that using the proposed model as a support for policymakers and decision-makers in the field of financial management can help solve semi-structured problems and improve decision-making efficiency and pay more attention to its effectiveness. According to the results of the present study, the adoption of expansionary monetary and fiscal policies and the provision of support packages as basic solutions to reduce the effects of the financial crisis caused by the corona epidemic in Iran is recommended.
Keywords
financial crisis
policy
modelling
Artificial neural network
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Financial Management Perspective
Volume 12, Issue 38
Summer 2022
Pages 103-129