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The study seeks to evaluate the effect of capital adequacy and competition on the liquidity creation of Kenyan commercial banks.

Unbalanced panel data from 36 Kenyan commercial banks with licenses from 2001 to 2020 is used in the study. The generalized method of moments (GMM), a two-step system, is employed in the investigation. To increase the robustness and prevent erroneous findings, serial correlation tests and instrumental validity analyses are used. The methodology developed by Berger and Bouwman (2009) is used to estimate the commercial banks' levels of liquidity creation.

The study supports the financial fragility-crowding out hypothesis by finding a significant negative effect of capital adequacy on the liquidity creation of commercial banks. The research also identifies a significant inverse relationship between competition and liquidity creation, depicting competition's value-destroying effect.

A trade-off exists between capital adequacy and liquidity creation, which must be carefully evaluated as changes in capital requirements are considered. The value-destroying effect of competition on liquidity creation presents a case for policy geared toward consolidating banks' operations through possible mergers and acquisitions.

To the best of the authors' knowledge, this is the first study to empirically offer evidence concurrently on the effect of competition and capital adequacy on the liquidity creation of commercial banks in a developing economy such as Kenya. Additionally, the authors employ a novel measure of competition at the firm level.

This study analyzed the moderating effect of bank size on the relationship between financial soundness and financial performance of commercial banks in Kenya.

The study employed data from 39 commercial banks for ten years from 2009 to 2018. Panel data regression model was used to analyze data.

The study results established a negative moderating effect of bank size on the relationship between commercial banks' financial soundness and net interest margin (NIM) and return on assets (ROA) with the results indicating a correlation coefficient of −0.1699 and −0.218, respectively. However, an absence of moderating effect was established when return on equity (ROE) was used as a measure of financial performance.

The paper finding recommends that banks' management and other policy makers should consider the effect of bank size while devising financial soundness policies to ensure optimal level of banks' financial soundness aimed at improving banks' financial performance. In addition, bankers associations should come up with policies to standardize asset quality management practices to ensure continuous positive performance of the banking sector.

The study shows the contribution and applicability of the theory of production in the banking sector.

The study aims to analyze the effect of financial soundness on financial performance of commercial banks in Kenya.

The study used dynamic panel model to analyze data from commercial banks for the period 2009 to 2020. The study was modeled on the concept of CAMEL approach using five CAMEL variables as financial soundness indicators. Four indicators that is, net interest margin (NIM), earnings per share (EPS), return on assets (ROA) and return on equity (ROE) were used as measures of financial performance.

Generalized method of moments results established that financial soundness had a statistically significant effect on NIM, ROA and ROE. It was also found that asset quality and earning quality had a statistically significant effect on net interest margin. In addition management efficiency had significant effect on ROE. However, the study established that capital adequacy, asset quality, earning quality and liquidity had a statistically insignificant effect on ROA and ROE respectively while capital adequacy, management efficiency and liquidity had statistically insignificant effect on NIM.

Bank managers should put into place effective financial policies to govern changes in CAMEL variables to ensure optimal banks' financial soundness to facilitate positive growth in banks' financial performance.

The current study is modeled on the concept of the CAMEL approach by employing the five CAMEL variables as financial soundness indicators. In addition, the study contributes to local literature by examining banks in a developing economy to provide reliable and relevant information on their differences to monitor their dynamics in financial soundness and financial performance which could not be provided by regional or global studies.