Volume 13, Issue 2 (Spring 2018)                   J. Mon. Ec. 2018, 13(2): 153-176 | Back to browse issues page

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Sadeghzadeh Yazdi A, Abounoori E, Erfani A. Modeling the Liquidity Gap in a Private Bank. J. Mon. Ec.. 2018; 13 (2) :153-176
URL: http://jme.mbri.ac.ir/article-1-311-en.html
1- Semnan University
Abstract:   (1527 Views)
The present study suggests a model for predicting liquidity gap, based on source and cost of funds approach concerning the daily time series data (25 March 2009 to 19 March 2018), in order to control and manage the liquidity risk. Using the family of autoregressive conditional heteroscedasticity models, the behavior of bank liquidity gap is modeled and predicted. The results show that the APGARCH with the Johnson-SU distribution is the most suitable model for explaining the liquidity gap behavior. Based on the rolling window method the more accurate model has been selected to be the APGARCH model with T-Student distribution which provides the least error in forecasting liquidity gap.
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Type of Study: Original Research - Theoric | Subject: Economics
Received: 9 Oct 2018 | Accepted: 8 Sep 2019 | Published: 20 Apr 2020

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