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:: year 13, Issue 44 (8-2020) ::
JMBR 2020, 13(44): 261-296 Back to browse issues page
Forecasting Liquidity at Risk of a Private Bank Using the Parametric Approach
Ali Sadeghzadeh Yazdi 1, Esmaiel Abounoori1, Alireza Erfani1
1- University of Semnan
Abstract:   (809 Views)
Properly managing the supply and demand for liquidity of banks, as the largest financial institution in the money market, by reducing deposits and other liabilities alongside the growth of a portfolio of loans, other assets, and off-balance sheet items is a challenging issue in banking risk management. Therefore, to continue banking activities and avoid the risks of lack of liquidity, liquidity management evaluates and controls liquidity risk. For this purpose, in the present study, it was attempted to design an appropriate model for predicting liquidity risk based on a parametric approach to control efficient and effective liquidity risk management. Accordingly, the liquidity at risk was calculated using the family of autoregressive conditional heteroskedasticity models. We used the daily data and facilities of a private bank in the period between September 23rd, 2010, to September 22nd, 2019, based on the concept of value at risk. The results of the evaluation of the utilized models, used by backtest, confirm the parametric approach in predicting daily bank risk liquidity.
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Type of Study: Empirical Study | Subject: Monetary Policy, Central Banking, and the Supply of Money and Credit (E5)
Received: 2020/04/17 | Accepted: 2020/11/18 | Published: 2020/12/12
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 13, Issue 44 (8-2020) Back to browse issues page
فصلنامه پژوهش‌های پولی-بانکی Journal of Monetary & Banking Research
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