Analysis of the determinants of bank liquidity risk: The case of Islamic banks in the UAE

Abstract

This article aims to examine the principal parameters that impact the liquidity risk incurred by Islamic banks in the UAE. The study examines annual data from four Islamic banks in the UAE. The Data is extracted from their annual activity reports and financial results. A multiple linear regression model is used to assess the impact of six bank-specific variables (Return on Equity, return on assets, size of the bank, liquidity gaps, non-performing loans and capital adequacy ratio) on the liquidity risk of UAE Islamic banks. The designed model shows that ROA and NPL negatively impact the liquidity risk of the studied banks, while the other determinants, namely size, ROE, liquidity gaps and CAR contribute to the improvement of liquidity of UAE banks. Thus, our empirical results complement the existing studies related to the analysis of liquidity risk determinants incurred by Islamic banks operating in the MENA region, especially Emirati banks.