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Showing 4 results for Liquidity
Examining the Performance of Liquidity Management in Iran’s Banking System (2001-2009)
Dr Ahmad Googerdchian, Simin Mirhashemi,
Volume 4, Issue 11 (3-2013)
Abstract
Since the liquidity shortage has some undesirable consequences for banks, the evaluation of different strategies of providing liquidity is very important. In normal market conditions, there are plenty of adjustment strategies available for banks which allow them to have higher liquid assets when they face higher payment obligations. This paper mainly focuses on three strategies of liquidity management in country's banking system in above conditions. The main aim of current paper is to test three strategies of liquidity management based on the recommendations of Basel Committee in the condition of increasing the payment obligations of the banking network, by applying Generalized Method of Moments (GMM) method. We used the data from 20 Iranian commercial banks for the period 2001-2009. Results show that there is a positive relationship between payment obligations and securities stock growth rates and also between payment obligations and repayments of loans growth rates. However there is a diverse relation between payment obligations and long-term loans growth rates.
Assets and Liabilities Management Modeling, with Liquidity Risk Management Approach In the Banking System Using Fuzzy Goal Programming
Zahra Naji Azimi, Meysam Omrani,
Volume 7, Issue 25 (10-2016)
Abstract

 

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.

 


Investigating the Role of real Money Balances in Households' Preferences function in the Framework of the Assets Pricing Models (M-CCAPM): Case study of Iran
Reza Roshan,
Volume 10, Issue 36 (6-2019)
Abstract
In this paper, we try to develop and modify the basic model of the consumption-based capital asset pricing model by adding the growth in real money balances rate as a risk factor in the household's utility function as (M-CCAPM). For this purpose, two forms of utility function with constant relative risk aversion (CRRA) preferences and recursive preferences have been used such that M1 and M2 are considered as inputs in the utility function. After estimating the systems of Euler equations using generalized moments method, MSE, MAE, and HJ criteria were used to select the most suitable model for estimating the share of variable of real money balance. The above criteria show that the model with the input of liquidity (M2) and preferences with constant relative risk aversion is the most appropriate model. The results indicate that the share of real money balance in the utility function of Iranian households is statistically significant and is about 34%. Therefore, considering the contribution of the monetary variable to the utility function which is relatively significant, it is emphasized on its entry into the utility functions used in asset pricing models.

Investigating the Eeffects of Factors on Capital Adequacy Ratio in the Islamic Banking System of Iran and Malaysia by Threshold Regression Approach
Azadeh Mehrabians, Parima Bahrami Zonooz, Roya Seifipour, Narciss Aminrashti,
Volume 12, Issue 45 (11-2021)
Abstract
Capital adequacy ratio is one of the most important indicators in analyzing the situation of banks in order to manage banks against risks such as bankruptcy and their inability to meet obligations. This controls the risk management of banks. The aim of this paper is to investigate the effect of banking variables on the capital adequacy ratio (CAR) in private banks in Iran during the period 2011-2018 and in Malaysia quarterly during the period 2012:01-2019:04 by Threshold Auto regression Method. The results showed that the CAR in the low regime with four lags had a negative effect and in the high regime had a direct effect on the CAR of Iranian banks. But it did not have a significant impact on the Malaysian banking system. The share of bank deposits in Iran in both regimes has a negative effect on the CAR. But it had a direct effect on the Malaysian banking system in the high regime. The size of the bank in the low regime had a direct effect on the CAR of private Iranian banks. But in Malaysia, in both regimes, it had a direct impact on the capital adequacy ratio. The share of credits in both regimes had a direct impact on the CAR in Iran. But in the Malaysian banking system in both regimes had a negative impact on the CAR. Liquidity in the low regime has a negative effect on the CAR in private Iranian banks. But in the high regime did not have a significant effect. While in the high regime, liquidity has a direct and significant effect on the CAR in the banking system of Malaysia. Returns of assets in the low regime do not have a significant effect on the CAR of Iranian banks. But returns of assets in the low regime have a direct and significant effect and in the high regime have a negative effect on the CAR in the Malaysian banking system. Financial leverage in the low regime does not have a significant effect on the CAR of Iranian banks, but in the Malaysian banking system in the low regime has a negative effect and in the high regime has a direct effect.

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