THE IMPACT OF MONETARY POLICY ON FINANCIAL PERFORMANCE OF INDONESIA COMMERCIAL BANKS: EVIDENCE FROM MAJOR CHALLENGES DURING THE COVID-19
This study investigates the impact of Bank Indonesia through its monetary policy response on financial performance of commercial banks group of business activities 3 and 4 amid the rising of recent global uncertainty and economic shocks due to COVID-19 outbreak. The sample of this study is in the...
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Format: | Theses |
Language: | Indonesia |
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Online Access: | https://digilib.itb.ac.id/gdl/view/55062 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | This study investigates the impact of Bank Indonesia through its monetary policy response on financial
performance of commercial banks group of business activities 3 and 4 amid the rising of recent global
uncertainty and economic shocks due to COVID-19 outbreak. The sample of this study is in the form of
balanced panel data that comprises 33 commercial banks in Indonesia over the period of 2016:1 to
2020:3. To control the effect of the monetary policy responses during the COVID-19 pandemic, this
study applied a dummy variable. This study used the lagged dependent variables that may indicate
appearance of endogeneity and autocorrelation. Therefore, the two-step system GMM was employed to
estimate the model specification. This study developed two specification models. The first estimation is
panel A where ROA is the dependent variable and the second model namely panel B, ROE acts as a
dependent variable. The results show that the lagged dependent variables, monetary policy interest rate,
net interest margin, and reserve requirement statistically have a positive impact on bank profitability.
The coefficients of monetary policy interest rate (MPR) are positive and statistically significant for both
panels, indicating that a decrease in MPR leads to a decrease in bank profitability or vice versa.
According to the coefficient result, it implies that the monetary policy shocks have a greater effect on
ROE than ROA. ROA in the previous period and BOPO have the largest impact on bank profitability.
The COVID-19 pandemic statistically has an inverse relationship with banks’ performance, it indicates
that the occurrence of this virus has disrupted the business cycle of Commercial Banks Group of
Business Activities 3 and 4 by eroded its ROA and ROE. Contrary to that, NPL, LDR, BOPO, and
COVID-19 have an inverse relationship with bank profitability. To that end, this study suggested that
Bank Indonesia should continue implementing the expansionary monetary policy to maintain the
effectivity of monetary policy transmission in bank lending channel, it is hoped that this decision could
resulting in the increase of profitability of commercial banks while hoped that the credit demand side
will be interesting hence the net interest margin will be increasing which means it will increase the
return on assets as well. Another proposed solution that this study suggested is commercial banks should
improve their business in generating profit by transforming into digitized banks. Involving technology
and digitalization could be an alternative for Commercial Banks to pursue to be more efficient and to
reduce the operating expense regarding the social distancing policy. This study suggests that
strengthening the macroprudential policy is a must especially in recession periods like this. Regarding
the results of operating expenses to operating income and dummy variables of COVID-19 on ROA and
ROE, this study is also highly recommends that Bank Indonesia should strengthen and expand digital
acceptance in all regions of the Indonesian archipelago considering these days people need to have
minimum physical contact due to the rapid spread of COVID-19, greater public acceptance of noncash
payment, and the faster digitalization trend. In order to avoid a biased empirical result and ensure the
efficiency and consistency of the two-step SYS-GMM estimator method, this study conducted a fixed
effect model regression, Arellano-Bond (AR) test, Hansen test, and the Variance Inflation Factors test.
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