Liquidity management occupies a central position in banking because the capacity of a bank to remain profitable ultimately depends on its ability to reconcile two competing imperatives: maintaining sufficient liquid resources to meet obligations as they fall due and deploying available funds into income-generating assets. This study examined the effect of liquidity management on the performance of deposit money banks in Nigeria over the period 1990–2024. Liquidity management was proxied by cash reserve ratio (CRR) and liquidity ratio (LQR), while bank performance was measured by return on assets (ROA) and return on equity (ROE). The study adopted a quasi-experimental research design and utilized annual secondary data obtained principally from various editions of the Central Bank of Nigeria Statistical Bulletin. The relationships were estimated using the ordinary least squares technique following unit-root tests which indicated that the variables were stationary at level. Relevant post-estimation diagnostic tests were also conducted. The empirical results revealed a differentiated liquidity–performance relationship. Cash reserve ratio exerted a negative and statistically significant effect on return on assets, while liquidity ratio similarly exerted a negative and statistically significant effect on return on assets. Conversely, cash reserve ratio had a positive and statistically significant effect on return on equity, whereas liquidity ratio produced a positive but statistically insignificant effect on return on equity. The findings demonstrate that liquidity management affects different dimensions of bank performance differently and that the relationship cannot adequately be characterized as uniformly positive or negative. The study concludes that regulatory liquidity requirements have important profitability consequences for Nigerian deposit money banks and should therefore be calibrated in a manner that safeguards systemic stability without unnecessarily constraining productive intermediation. It recommends a dynamic and macroeconomically responsive approach to liquidity regulation, strengthened bank-level liquidity forecasting and active asset–liability management.
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Ndugbu et al. (2026) studied this question.
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