Abstract:
It is widely accepted that bank performance is profoundly affected by changes in
interest rates. Besides impacting bank performance, the introduction of interest
capping in Kenya resulted in changes in bank strategies encompassing product
diversification, bank efficiency and risk management strategies. However, questions
remained on the extent to which the aforementioned strategies affected bank
performance and the efficacy of the strategies in an interest capping environment. The
objective of the study was to determine the moderating effect of interest capping on
the relationship between bank strategies and performance based on product
diversification, bank efficiency and risk management strategies using Balance
Scorecard model, Porters generic strategies and price theory. The study took a
positivism approach and used explanatory research design while data analysis was
conducted through hierarchical regression. The population of the study was 42 banks
as per CBK database for the year ended 2019 and the research focused on 35 banks
which met the inclusion and exclusion criteria of being consistently in operation
during research period from 2013 to 2019. Secondary data was collected from banks
annual financial statements with the assistance of CBK annual bank supervision
reports and was analyzed using both descriptive and inferential statistics involving the
use of mean and standard deviation. Inferential statistics involved the use of Pearson
correlation coefficient to check for associations of variables while hierarchical
regression analysis was conducted to test the hypotheses at a 0.05 significance level.
Further, the study relied on Hausman’s test to decide between random and fixed
effects. The model was significant as indicated by the changes in R2 by 0.369. The
fixed effects regression results showed that Product diversification (β=-0.002,
p<0.000) was significant with negative effect on bank performance while Bank
Efficiency (β=0.433, p<0.000) and Risk Management (β=40.182, p<0.000) were
significant with positive effect on bank performance. Further, the results revealed that
Interest Rate (β= -2.459915, p<0.000) was significant with negative effect on bank
performance. The interaction results revealed that the interaction between Product
diversification and interest rate (β=0.102, p<0.000) was significant with Positive
effect on bank performance while the interaction between Bank Efficiency and
Interest Rate (β=-15.535, p<0.000) was significant with negative effect on bank
performance. Further, the interaction between Risk Management and Interest Rate
(β=-99.212.182, p<0.099) was insignificant with negative effect on bank
performance. Therefore, the study moderation effects revealed that only two of the
three observed strategies employed by banks during interest capping period, namely
product diversification and bank efficiency strategies had significant effect on bank
performance. Product diversification interaction results showed a positive and
significant effect on bank financial performance while the interaction results on bank
efficiency affirmed a negative and significant effect on bank financial performance.
Conversely, risk management interaction had a weak or no significant effect on bank
financial performance. Therefore, banks should pursue product diversification
strategies to compensate for squeezed earnings caused by low interest rate
environment. Furthermore, banks should take a long-term view when undertaking
efficiency strategies to elude the mistake of scrambling for short term gains. It is
therefore recommended that banks should adopt risk-based pricing strategies for loans
since there is weak or no evidence to support the claim that risk management
strategies increase performance.