Modeling the Liquidity Gap in a Private Bank
Authors
Abstract:
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.
similar resources
Forecasting Liquidity at Risk of a Private Bank Using the Parametric Approach
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...
full textModeling the operational risk in Iranian commercial banks: case study of a private bank
The Basel Committee on Banking Supervision from the Bank for International Settlement classifies banking risks into three main categories including credit risk, market risk, and operational risk. The focus of this study is on the operational risk measurement in Iranian banks. Therefore, issues arising when trying to implement operational risk models in Iran are discussed, and ...
full textBank Liquidity and Bank Performance: Looking for a Nonlinear Nexus
Liquid assets are critical for banking operations. They guarantee avoiding liquidity risk and widens managerial decision options to invest in emerging profitable projects; however, holding extra liquidity entails opportunity costs. Accordingly, empirical literature does not provide a conclusive relationship between liquidity and profitability. The purpose of this research is to analyze the asym...
full textLiquidity in the Secondaries Private Equity Market
We provide evidence on the determinants of liquidity of private equity (PE) fund interests sold in the secondaries PE market and assess the impact of liquidity on pricing. PE fund liquidity is captured by the number of bids, variation in bids, and excess demand for a fund interest, all measured using auction data provided by a large advisory firm. We document that a PE fund interest is more liq...
full textBank mergers, competition and liquidity
We provide a model of the impact of bank mergers on loan competition, individual reserve management and aggregate liquidity risk. Banks hold reserves against liquidity shocks, refinance in the interbank market and compete in a differentiated loan market. A merger creates an internal money market that induces financial cost advantages and may increase reserve holdings. We assess the liquidity ri...
full textMy Resources
Journal title
volume 13 issue 2
pages 153- 176
publication date 2018-04
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023