Volume 7, Issue 25 (10-2016)                   jemr 2016, 7(25): 91-128 | Back to browse issues page


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Naji Azimi Z, Omrani M. Assets and Liabilities Management Modeling, with Liquidity Risk Management Approach In the Banking System Using Fuzzy Goal Programming. jemr 2016; 7 (25) :91-128
URL: http://jemr.khu.ac.ir/article-1-1438-en.html
1- , znajiazimi@ um.ac.ir
Abstract:   (7225 Views)

 

A wide range of banking activities And its close relationship with the economy is an important reason for the importance of the reliability of banking system and its influencing factors. Accordingly to play the optimal role, banks face several challenges. Optimal management of assets, liabilities And Evaluateing the risks associated with them Such as credit risk and liquidity risk is considered as one these challenges this article attempts to define goals and optimally manage assets and liabilities with a focus on determining the optimal amount of cash and liquidity risks. According to multilateral objectives, Constraints in the banking system And the experiences of the past years, the model used in this article is Fuzzy goal programming with fuzzy constraints. The proposed model has the ability to provide optimal amounts of each of the items of the balance sheet for the coming years in accordance with previous years. To reach the final answer nine Goals and more than thirty fuzzy limits used in the model. Goals presented in the paper Are: Maximizing profits, Observing the limits of the deposit facility, Improving the share of bank deposits of the banking system, Increasing the amount of balance sheet items, Increasing the amount of some items assets to total assets, Observing the Capital adequacy limits, Reducing the volume of investment in tangible fixed assets, more Receivables than debts from central, more Receivables than debts from institutions Also in order to achieve the importance of each of these goals an Analytic Hierarchy Process is used. Finally, the results in crisp and fuzzy model are compared and improvement of results in fuzzy model is observed.

 

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Type of Study: Applicable | Subject: پولی و مالی
Received: 2016/06/24 | Accepted: 2016/11/16 | Published: 2016/12/19

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