Assessment of Banking Conditions on Financial Distress
During the Period of COVID-19 in Indonesia
SETIYO PURWANTO1, DIDIN HIKMAH PERKASA1, FERRYAL ABADI2
1Business and Social Science Faculty, Universitas Dian Nusantara, INDONESIA
2Faculty of Economy and Business, Universitas Esa Unggul, INDONESIA
Abstract: This study was conducted to analyze the effect of liquidity ratios (LDR), profitability (ROA), and
leverage (CAR) on the financial difficulties of banking companies listed on the Indonesia Stock Exchange
(IDX) for the 2020-2021 period, moderated by credit risk during the COVID-19 pandemic. 19. Financial
Distress was measured using the Altman Z-Score model, and compared with conditions before the 2016-2019
pandemic, so that the research data was taken from the annual report for the 2016-2021 period. The samples
collected were 27 companies. This study uses quantitative analysis techniques with linear regression and
processed using SPSS 22. The results of this study indicate that during the pandemic period and before
COVID-19 in Indonesia, liquidity, profitability and leverage ratios have a significant effect on financial
difficulties. Credit risk as a moderating variable can only strengthen the influence of the liquidity ratio and
profitability ratio. Meanwhile, the leverage ratio cannot be moderated by credit risk. In the pre-pandemic period
of 2016-2019, it showed that the ratio of liquidity, profitability, and leverage could not be moderated by credit
risk. The findings in this study explain that banking conditions are not in financial difficulty during the
pandemic, but profits for companies are low. This anomaly is caused by over-liquidity from credit that is not
widely distributed to the business sector.
Key-Words: Financial Distress, Liquidity, Profitability, Leverage, Credit Risk.
Received: May 29, 2022. Revised: December 20, 2022. Accepted: January 21, 2023. Published: February 17, 2023.
1 Introduction
Banking is one sector that plays an important role in
encouraging the economy of a country. Banking is
one of the drivers of the economy either directly or
indirectly. Banking also has a very important role as
described in Article 4 of Law no. 10 of 1998
concerning Banking, which aims to support the
implementation of national development in the
context of increasing equity, economic growth, and
national stability in the direction of increasing the
number of people. Thus, banking organizations are
obliged to realize socio-economic welfare. This
shows that banks have a significant role in society
and the economy, [1]. The dominant contribution
from the banking industry to the financial services
industry is that the banking industry can sustain and
increase gross domestic product, [2]. Lutfie and
Priansa stated that the banking industry is the
industry most vulnerable to economic shocks.
Due to the COVID-19 pandemic that hit around 215
countries in the world, there has been a highly
significant change in the global economic order and
has an impact on the downturn in the economic
sector. The COVID-19 outbreak that has emerged in
China since 2019, was found in its first case in
Indonesia in early March 2020. The government has
taken several new strategic policies, especially in
the economic sector. The economic downturn
caused by the policy of limiting large-scale
activities in Indonesia and the "Lock-Down" in
other countries, made the banking sector have a
slump in revenue decline, due to non-performing
loans. Instead of bad debt as the main factor, several
factors affected financial conditions, including
capital, decrease in profit, and the number of third-
party funds allocated for credit. It is also
experienced by several banks and non-bank
financial institutions in Indonesia and not a few that
could not survive so they must go out of business.
Consequently, it is necessary to take precautions in
helping investors measure and develop the
company's finances for now and after time.
Numerous predictive models that are feasible to
prevent FD conditions from occurring continued to
be implemented by researchers in anticipating the
risk of bankruptcy. Elicited from the prior, one of
the risks that aroused in the banking sector in
conditions of a weakening economy during a
pandemic is FD, where this condition can be
considered the main cause of bank defaults, namely
the risk of bad loans, [3]. The credit creation
program is an activity to generate the main income
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for banks, [4]. The credit creation program is an
activity to generate the main income for banks.
Kargi also delineated those non-performing loans
were the prominent factor affecting FD. If the ratio
of bad loans continues to increase, it will cause
liquidity problems and even lead to bankruptcy. The
ability to maintain prudent financial performance in
measuring/anticipating risk can prevent bankruptcy.
Some studies relevant to the FD topic area, [5], [6],
[7], [8], [9] including academic researchers in [10],
[11], [12], [13]. This analysis of financial distress
during the 2020-2021 pandemic is important to see
how the condition of banking performance is
compared to conditions before the pandemic from
2016-2019. Because in 2018, the Deposit Insurance
Corporation (LPS) recorded that 89 banks had been
liquidated. These banks have been operating since
2005 until the first semester of 2018. Then in 2019
LSP has also closed 9 more banks, bringing the
number of banks that have been liquidated to 101
banks. Bankruptcy is a condition that describes a
company experiencing a cash shortage so that it is
unable to pay off its obligations, [1]. Predictions for
the occurrence of FD are different, but one of the
risk factors is credit risk, with several other
researchers stating that credit risk has a positive
effect, so that it could get a big chance of profits,
[14] due to several factors including capital
adequacy, profitability, liquidity known in a
conceptual framework called the CAMELS method
which stands for Capital (C), Asset Quality (A),
Management (M), Earning (E), Liability or
Liquidity. (L), and Sensitivity to Market Risk (S) [8],
[11], [15], [16]. Several factors that scope of the
research have a strong potential to avoid FD
conditions include capital adequacy which is
represented in CAR, the level of profit/profitability
is represented in ROA and liquidity is represented in
LDR, where the variable is moderated by credit risk.
The prior study carried out by [11] and [15]
revealed that CR influences FD, but another study
stated that CR could not influence FD [14], [12].
However, there are still inconsistencies in study
findings related to the effect of CR moderation on
FD. It becomes a research gap that needs to be re-
examined whether other variables cause the
inconsistency of these findings.
2 Literature Review
2.1 Financial Distress
FD is an inability condition of a company to meet
the financial obligations to creditors, [17], [18].
Manifestations of FD conditions take various forms,
depending on the situation, such as bankruptcy,
unclosed bonds, unpaid dividends, and priority
shares, [19]. Bank sectors are responsible to take on
the role of the driving force of the economy so that
it will not have a negative impact during economic
difficulties. However, a bank that is in financial
difficulty and even on the verge of bankruptcy will
interfere with the payment of activities and will
disrupt the distribution of public credit, [20], [11],
[12], [21]. The criteria used to predict the
bankruptcy of companies other than manufacturing
according to classify Z score > 2.99 is classified as a
healthy company, while those with a Z score < 1.81
classified as a potential bankrupt company.
Furthermore, the score between 1.81 up to 2.99 are
classified as companies in gray area, [1].
2.2 Links between CAR and FD
The Capital Adequacy Ratio or CAR according to
its source comes from internal banks and external
(investors) which have a role to maintain bank
liquidity if there are cash flow constraints caused by
bad loans or defaults on distributed loans, [22].
CAR can also cultivate trust between depositors and
regulators to support financing and increase the
ability to cover the risk of loss, [23], [12], [24].
Based on the explanation, the hypothesis could be
formulated as:
H1: CAR has a positive effect on FD.
2.3 Links between ROA and FD
ROA is employed to measure the company's
profitability related to its ability to produce profits
or values, [25], [26]. The banking performance
value was assessed from the profits ratio toward the
company’s assets total, [27]. This finding indicates
that the higher the company's ability to generate
profits, the more efficient the asset turnover and
firm value will be. This means that the value of the
company is determined by the earning power of the
company's assets and this will be increasingly in
demand by investors, [28], [29]. CAMEL analysis
stated that the banking performance built by
implementing an analysis system, measurement, and
selective control in avoiding financial difficulties
potential could be measured from its ability to
generate profits [30]. Based on the explanation, it
could be constructed as the following hypothesis:
H2: ROA is positively impactful for FD
2.4 Links between LDR and FD
LDR measures the credit ratio distributed by the
third party. The higher level of loans, the lower ratio
of bank liquidity, [11]. If the management could not
accomplish the short-term obligation based on the
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plan, the company will suffer Financial Distress
(FD) conditions due to the short-term debt return
failure, [31]. Selling assets and other investments
are the steps that should be taken in avoiding
bankruptcy. This study is also supported and stated
by the earlier study by [29], [30]. The investment
factor is a concept of company development.
Nevertheless, an excessively high investment ratio
toward total assets will lead to Financial Distress
(FD) conditions, [32]. As maintained by the
explication, it could be hypothesized as:
H3: LDR has a positive impact on FD.
2.5 Links CR Moderates LDR on FD
CR as moderating variable for a bank was regarded
as a risk of loss related to the possibility of the
debtor who doesn't repay their debts, [22]. In the
banking sector, credit management is one of the
fundamental parts of risk management that must be
controlled adequately and effectively for long-term
survival, [33]. The return total on loans to the total
amount of risky assets and funds was planned by the
company to suppress credit risk which is usually
named Risk Weighted Asset (RWA) in the business
development concept. The higher the ratio of loans
to the number of risky assets, the more potential for
entering into FD conditions, [34]. CR is a
measurement to assess the security value of a given
loan to avoid the risk of FD, [35]. The prior findings
by [36] suggested that tightening and controlling are
crucial, especially in giving credit for reducing the
further potential of bad loans. The control is meant
to circumvent the credit risk so that bank has more
desirable performance and could generate higher
profits. In line with the elucidation, it could be
formulated two hypotheses as follows:
H4: CR moderates the effect LDR on FD
2.6 Links CR Moderates ROA on FD
Profitability is a description of the capability in
generating profits by using all the capabilities and
resources of the company, [1]. The ratio that reflects
the company's performance in generating profits is
called the profitability ratio, namely ROA. This
study uses ROA because it is based on one of the 5C
approaches, namely capacity. The ability to generate
profits and make prudent credit risk decisions can
prevent companies from financial distress. Based on
this explanation, the construction of the research
hypothesis can be made as follows:
H5: CR moderates the effect ROA on FD
2.6 Links CR Moderates CAR on FD
The leverage ratio is a ratio that measures how
much of a company's assets are financed by debt.
Capital Adequacy Ratio (CAR) is one of the ratios
used to measure leverage in carrying out its
activities to finance credit, [37]. The consideration
of the decision to give credit is a banking risk and if
done properly it can increase the CAR so that it can
avoid FD. Based on this analysis, the following
research hypotheses can be built:
H6: CR moderates the effect of CAR on FD
Fig. 1: Research Model
3 Research Method
The samples were banking companies registered on
The Indonesia Stock Exchange (IDX) and reported
their financial statements for the 2016 2021 period
gradually with two steps analysis in 2016-2019
before the pandemic and 2020-2021 during the
pandemic. The data collection technique was
conducted based on population criteria which have
been explained through sample criteria. Then, the
study of banking financial statements was based on
the ratio variables related to this research and the
last was data processing.
Table 1. Sample Selection Results
Total
Population: The banking company
registered on The Indonesia Stock
Exchange (IDX) from 2016 to 2021
46
Samples collecting criteria (purposive sampling):
1. The companies which are not listed in
IDX gradually from 2016 to 2021
(1)
2. Banking companies which are not
reporting their financial reports from 2016
to 2021 gradually
(18)
Research samples
27
Samples total (n x research period) = (27 x
4 years) for before the pandemic (2016-
2019)
108
Samples total (n x research period) = (27 x
2 years) for during the pandemic (2020-
2021)
54
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4 Research Variables
The results of the descriptive test in this research
construct are presented in Table 2.
Table 2. Descriptive Results Test
N
Mean
Std.
Deviation
108
54
0,2006
0,2319
0,05690
0,07931
108
54
0,0229
0,0150
0,02822
0,01645
108
54
0,8769
0,8826
0,14201
0,21281
108
54
7,3062
7,5244
1,02509
1,62604
108
54
0,0240
0,0226
0,01669
0,01417
Source: Secondary data of banking performance reports
in the year 2016 – 2021
According to table 2, it could be portrayed that the
average capital value perceived by conventional
commercial banks in Indonesia before pademic
period is 20.06 percent. Then it increased during the
pandemic to 23.19 percent. Bank Indonesia
Regulation Number 15 of 2013 concerning the
minimum capital adequacy requirement for
commercial banks is 8 percent. It means that the
minimum capital adequacy ratio has been fulfilled.
The average ROA value of 2.29 percent before
pandemic means that the profitability of banks was
low, and it’s getting lower during pandemic until 1.5
percent. Furthermore, the average value of liquidity
before the pandemic was high enough to reach
87.69 percent, then increased during pandemic to
88.26 percent. The financial distress variable before
pandemic showed score 7.306 and during pandemic
was 7.524. Those Z score are >2.99, it’s means that
the companies are still healhty. The test results for
the credit risk variable as moderation showed a
value of 2.4 percent and decreased to 2.2 percent
during the pandemic. The normality test can be seen
in Table 3.
Table 3. Normality Test results
Unstandardized Residual
N
108
54
Normal
Parameters
Mean
0,000000
0,0000000
Std.
Deviation
0,035729
0,0287938
7
Most
Extreme
Differences
Absolute
0,055
0,085
Positive
0,055
0,058
Negative
-0,052
-0,085
Statistical
Test
0,055
0,085
Asymp. Sig.
(2-tailed)
0,200
0,200
Source: SPSS program processing results
Asymp sig. value. in the third table was gained
0.200 higher than 0.05. It means that the residual
value in this study is assumed normal distribution.
Overall, the VIF value of CAR, ROA, LDR, and CR
variables is under 10, and the significance value of
each independent variable is > 0.05.
Table 4. Heteroscedasticity test results
Variable
(Constant)
VIF
CAR
1,184
ROA
1.052
LDR
1.190
Source: Secondary data testing results from SPSS
Program
Multiple regression analysis testing results are as
follows:
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Table 5. Multiple Regression Analysis Results
Variable
s
Unstandardized
Coefficients
t
Sig.
B
Std.
Error
CAR
N= 108
N= 54
6.640
6.436
0.132
0.157
50.427
41.012
0.000
0.000
ROA
N= 108
N= 54
3.263
1.387
0.234
0.624
13.921
2.223
0.000
0.031
LDR
N= 108
N= 54
6.788
6.776
0.031
0.029
219.905
233.108
0.000
0.000
CR
N= 108
N= 54
2.746
2.128
1.401
1.250
1.960
1.702
0.053
0.095
CAR*C
R
N= 108
N= 54
-0.022
5.279
4.002
6.506
-0.001
0.811
1.000
0.421
ROA*C
R
N= 108
N= 54
-10.291
40.914
6.806
17.787
-1.512
2.300
0.134
0.026
LDR*C
R
N= 108
N= 54
-1.270
-3.281
1.178
1.470
-1.078
-2.295
0.284
0.026
Source: SPSS Secondary Data Testing Results
Table 5 delineates the t value for CAR during the
pandemic of 41.012 with a value of sig. 0.000
indicates that more capital will avoid FD conditions,
this result is in line with, [36]. This Capital
Adequacy Ratio (CAR) becomes crucial to ensure
that banks have sufficient cushion to bear financial
difficulties. Furthermore, the results of the ROA test
obtained a t-count value of 2.223 with sig. 0.031
which indicates that the bank is still able to generate
profits. This result is in line with previous research,
[29], [31], [30], [38]. LDR with a t-count value of
233.108 and sig. 0.000 indicates that the loans
disbursed are still healthy. This is in keeping with
research [30] that stated that the effectiveness ratio
in distributing funds in the form of credit must be
kept positive. So, the test results shown in table 5
explain that the CAR, ROA, and LDR variables
have a significant effect on FD, so this analysis
answers hypotheses H1, H2, and H3. The t value of
the CR variable was 1.702 and sig. 0.095 indicates
that the higher the CR, the higher the potential for
FD. The results of this study are also in line with
research, [39], [36] which explains that lending is
the main business of banking, but bad CR can be the
main cause of FD. The results of the analysis of the
CR variable test in moderating LDR during a
pandemic show that it can strengthen the effect of
LDR on FD, so H4 is accepted. LDR is an indicator
to assess the level of soundness and liquidity. The
higher the LDR ratio, meaning that the bank will
have difficulty meeting its short-term obligations,
such as sudden withdrawals by customers of their
deposits. However, the increasingly liquid bank
situation with the large number of funds that have
not been distributed is also unhealthy, [40]. But
before the pandemic CR was not able to moderate
LDR. Likewise, the CR variable in moderating
ROA during a pandemic shows that CR can
strengthen the effect of LDR on FD, so H5 is
accepted. But before the pandemic CR was not able
to moderate ROA. In contrast to the CR variable in
moderating CAR during the pandemic and before
the pandemic, it shows that CR is not able to
strengthen the effect of CAR on FD, so H6 is
rejected.
Table 6. Coefficient Result of Determination
Testing
N
R
R Square
Adjusted
R Square
Std. The
error in the
Estimate
108
54
1.000
1.000
0.999
1.000
0.999
1.000
0,03025
0,03091
Source: SPSS Secondary Data Testing Results
Table 6 explains that, the effect of CAR, ROA and
LDR simultaneously with moderated CR on FD is
99.9 percent during the covid-19 pandemic, almost
no different from before the pandemic.
5 Conclusions and Suggestions
The results of statistical test analysis in this study
state that banking CAR is the fundamental strength
of a company from financial difficulties. For this
reason, the government sets a minimum adequacy
ratio in maintaining the resilience of the financial
business, meaning that the higher the level of capital
adequacy ratio will guarantee the avoidance of
financial distress.
In addition, every business organization is always
oriented towards the ability to generate profits. The
better ROA indicates good banking performance, so
that it can prevent the company from financial
difficulties. This study shows a positive profit, but
lower than before pandemic. So it can be judged that
the company is not in a state of financial distress.
Another important component is the ability to
maintain liquidity through the LDR ratio which is an
important key to the company's financial health. In
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this study, it can be seen that banking liquidity both
during the pandemic was higher than before, but it
was still good.
Realization of credit disbursement must be
maintained in balance, so that banks can maintain
their liquidity. Prudent measures in making the
decision to approve credit by taking into account the
ratio of returns to the level of asset risk will reduce
the risk of bad loans. This condition is
understandable considering that during the
pandemic there was a weakening of national
economic activity.
During the COVID-19 pandemic, CR is considered
to be able to strengthen financial ratios to avoid
financial difficulties. Where the results of this study
indicate that the liquidity ratio (LDR) and
profitability ratio (ROA) can be strengthened by
credit risk (CR), while the capital adequacy ratio
(CAR) does not need to be strengthened by CR.
This is because every bank must always maintain its
capital adequacy ratio as determined by the
government. However, before the pandemic CR did
not strengthen the financial ratios that became the
variables of this study, because in normal economic
conditions banking companies competed to improve
their performance.
Based on the conclusions above, it becomes clear
that it is important to take preventive action by
maintaining healthy financial ratios, so that
bankruptcy does not occur.
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