Investigating the impact of the financing structure and the market power of Iranian banks on the creation of liquidity by using the meta-heuristic model

Document Type : Original Article

Authors
elnaz akbari
mehrzad minoi
Mohammad Ebrahim Mohammad Pourzarandi
Financial Management, Central Tehran Branch, Islamic Azad University, Tehran
10.22034/jik.2026.77533.4520
Abstract
Abstract
The purpose of this research is to investigate the effect of the financing structure and the market power of Iranian banks on the creation of liquidity by applying the meta-heuristic model in the banking system. In order to test the research hypotheses, the seasonal data of the selected variables were collected during the period of 2015-2022, and in order to test the research hypotheses, from the neural network model in the S software. P. S. S Modeler and the combined model of Wall's meta-heuristic algorithm and long-term short-term memory neural network were used in MATLAB software. The research results show; The financing structure and the market power of the country's banks have an effect on the creation of liquidity. Also, the neural network model (ANN) by 62.6%, and the combined model of Wal meta-heuristics and long-term short-term memory neural network (WOA-LSTM) by 99.76% are able to correctly predict the impact of financing structure and power. The country's banks market is focused on creating liquidity.
Keywords
bank
financing
market power
liquidity creation
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