Asset-Liability Management and Liquidity Trap (Case Study: Credit Institute for Development)

Authors

  • Fahimeh Baghani Department of Finance, Kish International Branch, Islamic Azad University, Kish Island, Iran (Corresponding Author)
  • Fereydoun Rahnamay Roodposhti Department of Finance and Economic, Sciences and Research Branch, Islamic Azad University, Tehran, Iran
  • Hamidreza Vakilifard Department of Finance, Kish International Branch, Islamic Azad University, Kish Island, Iran
  • Mirfeyz Fallah Shams Department of Finance and Economic, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract:

An increase in the ability to timely meet commitments which will be due in the near future is a prerequisite for the survival of banks. Hence, the correct and optimal management of liquidity is an important affair that banks should perform. The present study aimed mainly to test the management of asset-liability and liquidity trap in the Credit Institute for Development. The research is applied in terms of the method and survey in terms of the type. The key ratios in the prediction of liquidity trap were identified through interviews with the experts in the area of asset-liability management. Then, a researcher-made comparison (paired) questionnaire was used through the ISM technique to investigate the relationships of these ratios. Finally, the conceptual model was extracted and the degree of influence of the variables was determined by the power of influence and the power of dependence. The indicators of asset-liability management were raised as the independent variable, and the financial ratios related to liquidity trap as the dependent variable. The Ginger’s causality test was used to assess the hypotheses and perform the statistical analysis, applying the Eviews software. The research results revealed that the immediate ratios of cash funds to volatiledeposits, cash assets to short-term debts, volatiledeposits to total deposits, macro deposits to total deposits, demand deposits to total deposits, liquidity coverage, and loan to deposit are most closely related to the prediction of liquidity trap. In addition, among the indicators of asset-liability management, the ratios of capital adequacy, VaR, and cash and current debt to current assets had a significant effect on the liquidity trap of the Credit Institute for Development.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Effect of Asset and Liability management on Liquidity risk of Iranian Banks

In financial markets, the main component of risk management is liquidity risk. Asset and Liability Management (ALM) strategy is concerned with managing all risks. Asset and liability management seeks to manage liquidity risk, which refers to both the liquidity of markets and which assets can be translated into cash. The liquidity is importantly affected by the management of banks’ balance sheet...

full text

Asset Liquidity, Debt Valuation, and Credit Risk

This paper presents a structural debt valuation model that links default probabilities and recovery rates of corporate securities to asset market liquidity. This linking is advantageous for risk management and regulation of financial institutions in that it provides a method of calibrating the relationship between probability of default (PD) and loss given default (LGD). Two innovations in the ...

full text

Integrated Asset-Liability Management: An Implementation Case Study

This chapter discusses integrated asset-liability management, a new management perspective that is evolving at the more innovative financial intermediaries in response to problems caused by the older functional management perspective. The older perspective calls for an organization to be structured into functional units (e.g., marketing, asset management, etc.), the decisions of which are coord...

full text

Global Asset Liability Management

Dynamic financial analysis (DFA) is a technique which uses Monte Carlo simulation to investigate the evolution over time of financial models of funds, complex liabilities and entire firms. Although of increasing popularity, the drawback of DFA is the dearth of systematic methods for optimising model parameters for strategic financial planning. This paper introduces strategic DFA which employs t...

full text

Asset liability management for individual households

Personal finance is a challenging topic which can benefit from a scientific approach to individual financial planning. This paper presents an individual asset liability management (iALM) model for life cycle planning which uses the methodology of dynamic stochastic optimisation and incorporates ideas from both classical and behavioural finance. Its implementation is in the form of a decision su...

full text

An Optimal Model for Asset Liability Management

This 1)aper addresses the stochastic modeling for managing asset liability process. We start with developing a jump-diffusion process for evaluating of the liabilities of the insurance company in general. We then tbrnmlate the ALM process into a stochastic control problem. With this approach, we present a Bel|man-Dreyfus Fundamental type formula for ALM process in terms of the solution of a sys...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 4  issue 13

pages  11- 24

publication date 2019-04-01

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