Liquidity Mismatch Index and Banks’ Stock Returns

Godfrey Marozva
International Journal of Economics and Business Administration, Volume VIII, Issue 4, 930-945, 2020
DOI: 10.35808/ijeba/641


Purpose: This article empirically examine the relationship between Liquidity mismatch index and bank stock returns. Design/Methodology/Approach: Using the panel data of 9 South African Banks from 2008 to 2019, the Augmented capital asset pricing model and Fama and French’s (2015) five factor model were employed to empirically examine the nexus between Liquidity mismatch index and bank stock returns. Two liquidity measures, the bank liquidity mismatch index and the aggregate liquidity mismatch index were put into perspective. Findings: The results revealed that liquidity is a significant factor when pricing banks’ stock returns. Bank liquidity mismatch index was found to be positively and significantly related to bank stock returns. While, the Aggregate liquidity mismatch index was found to be negatively related to stock returns, and the relationship was significant. Therefore, liquidity can play a role in asset pricing models. Moreover, these liquidity measure effectively captured the aspect of liquidity stress test and contagion effects. Practical Implications: The aggregate liquidity mismatch index provided a good macro-prudential liquidity measure which could be included in various dynamic stochastic general equilibrium (DSGE) models. Since results revealed that BLMI positively influence stock returns banks are recommended to hold significant liquidity buffers to take advantage of opportunities when they present themselves. This recommendation is in line with the BASEL III liquidity proposal. Originality/Value: Investigating the impact of liquidity particularly on bank stocks provides important contribution to the body of knowledge since banks are the main drivers of liquidity creation. Empirical literature does not sufficiently articulate the linkage between bank liquidity and bank stock returns of emerging markets particularly within the context of asset-liability mismatches while accounting for liquidity spirals.

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