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FINANCIAL STABILITY AND PROFITABILITY IN BANKING: A QUANTITIVE
ANALYSIS OF KEY RATIOS AND RESULTS
Saydullayeva Ruhshona
Tashkent State University of Economics
Accounting faculty
ruhshonasaydullayeva8@gmail.com
Abstract:
We analyze how bank profitability impacts financial stability from theoretical and
empirical perspectives. We start by developing a theoretical model that explores the
relationship between bank profitability and financial stability. This model elucidates how
increased profitability can strengthen a bank's resilience to economic shocks. Additionally, it
addresses the potential risks linked to excessive profit-seeking behavior. Excessive profit-
seeking behavior can lead to risky lending practices and a focus on short-term gains, which may
undermine long-term stability. As a result, our analysis underscores the critical need for a
balanced approach to profitability. It is essential for banks to pursue sustainable growth while
simultaneously mitigating systemic risks. By fostering a financial environment that values long-
term stability over fleeting profits, we can promote a healthier banking sector that contributes
positively to the economy as a whole.
Introduction
The Global Financial Crisis (GFC) of 2007-2009, along with the subsequent period of low
interest rates, has reignited interest among policymakers in the significance of bank profitability
for maintaining financial stability. Despite the recovery, many banks still struggle to achieve a
return on equity that meets or exceeds their cost of equity. The market's assessment of banks'
ability to overcome profitability challenges is pessimistic, given that their valuations are below
their balance sheet values. Additionally, the existing literature on the relationship between bank
profitability and financial stability presents mixed evidence. Some researchers have found that
higher profitability can lead to increased “charter value” (long-term expected profitability),
which may result in reduced risk-taking behavior by banks. This paper addresses key issues
related to this topic. We examine the relationship between bank profitability and financial
stability. This includes looking at different bank business models, such as retail and wholesale
banks, as well as various types of net interest income (NII) activities. In this context, we
examine not only the relationship between the level of bank profitability and financial stability
but also the more profound issue of how the source of bank profitability influences financial
stability. Various measures of bank business models and characteristics illuminate the origins of
bank profitability.
Literature view
According to the opinions of Karamoy and Tulung (2020) [1], “Profitability is often regarded
as the most precise metric for evaluating the performance of banks in the banking sector. Such
performance is typically measured using two key indicators: ROA and ROE.” Gutiérrez-Ponce
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and Wibowo (2023) [2] discovered that “the environment does not significantly impact ROE.
Allocating funds to support social programs and initiatives puts banks at a disadvantage
compared to competitors who do not participate in such activities. These competitors'
stakeholders do not prioritize the financial performance of environmental practices, specific
investment decisions, and similar initiatives in the future.”
Najam (2022) [3] stated, “The ROA metric is used to assess the financial sustainability of banks,
serving as the dependent variable in this research. It measures a company's capacity to generate
profits that are enough to sustain the company's value. Furthermore, the profitability ratio
quantifies the firm's performance.” Gutiérrez-Ponce and Wibowo (2023) [4] discovered that
the environmental variable does not substantially impact the financial performance of banks, as
assessed by ROA.
Another researcher, Alam and Islam (2022) [5], argued that the loan-to-asset ratio and total
assets were shown to have a beneficial influence on profitability, especially NIM, ROA, and
ROE.
In his work, Kumari (2024) [6] mentioned that NIM is used to assess the effectiveness of
financial intermediation by banks and is calculated as the difference between the lending and
deposit rates, measured against the average assets of the banks.
Tenriola (2019) [7] highlighted that “Profitability is a critical factor in assessing a bank's
overall performance, and a decline in profitability can impact the bank's ability to operate and
undermine public confidence. For this reason, ROA is an important measure of profitability in
the banking sector. Higher ROAs indicate greater profitability and a stronger position regarding
asset utilization.”
Methodology
In this study, I embarked on a comprehensive investigation of specialized literature related to
the critical topics of financial stability and profitability within the banking sector. To delve into
these complexities, I applied a combination of methods: empirical analysis, which relies on data
and real-world observations; theoretical analysis, which explores existing theories and concepts;
and trend analysis, which examines patterns over time. This multifaceted approach allowed me
to thoroughly evaluate the intricate relationship between banking profitability and financial
stability. By synthesizing the findings from these diverse analytical techniques, I was able to
pinpoint essential indicators that significantly impact both profitability and stability among
financial institutions. This synthesis aimed to provide actionable insights that can guide
strategic decision-making within the banking industry, paving the way for enhanced risk
management practices and more robust regulatory compliance. Ultimately, this could contribute
to the development of a more resilient banking system that withstands economic fluctuations.
Furthermore, a deep understanding of these dynamics equips stakeholders with the knowledge
necessary to make informed decisions, fostering long-term sustainability and growth. This
insight empowers banks to adapt to ever-changing economic conditions and shifting consumer
preferences, encouraging a culture of innovation and competitive advantage. By leveraging
these valuable insights, financial institutions can position themselves more effectively to tackle
challenges, embrace opportunities, and nurture a thriving financial ecosystem.
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Discussion and results
Financial stability is the foundation of any country's long-term economic growth. Economic
growth relies on a stable financial system that fosters investment, encourages savings, and
promotes consumer confidence. Without this stability, nations may face volatility that can
hinder development and lead to economic crises.
Bank financial stability
refers to the effective execution of critical economic functions,
including resource allocation, risk management, and dispersion. This stability enables the
banking system to absorb shocks, evaluate fluctuations in financial risks, and allocate resources
efficiently. Bank financial stability shows the flexibility of all financial-related activities and
sectors to minimize losses and bank crises. Bank instability arises from inefficient banks, which
can result in liquidity risk and subsequent shocks. As a result, financial fluctuations can lead to
a reduction in economic efficiency. Scholars widely use the Z-score as an indicator of bank
financial stability. A higher Z-score indicates a more stable bank.
Bank profitability
is a measure of how effectively a bank manages its resources to maximize
profits while minimizing costs. It reflects a delicate balance between the outputs — services
and products offered — and the inputs — the resources utilized to provide them. Commercial
banks are focused on achieving the highest levels of production with the least input, striving for
efficiency that leads to enhanced financial performance. This aspect of banking is of great
significance to both managers and investors. High profitability serves as a financial buffer,
allowing banks to preserve their capital reserves, increase their market share, and attract
additional investments. Essentially, bank profitability is calculated as the net income after taxes
have been deducted, revealing the bank's actual profit. This figure takes into account the return
on initial investments and illustrates how much profit has grown in comparison to the operating
costs. To assess bank profitability, several key metrics are used, including revenue, capital, total
assets, and earnings per share. These metrics can provide a clear picture of a bank’s financial
health. Importantly, sustained profitability is a strong indicator of growth potential and
operational success, reflecting the effectiveness of resource management. Moreover, as
profitability increases, corporations tend to reap even greater benefits, making the financial
landscape increasingly rewarding. Among the various profitability indicators, the return on
equity (ROE) stands out as a favored measure due to its ability to provide insights into how
well a bank uses its equity to generate profits. In the face of an increasingly competitive
banking environment, profitability plays a pivotal role in ensuring that banks operate efficiently
and continue to develop. It acts as a cornerstone of stability and growth, directly influencing a
bank's trajectory and its ability to thrive in the marketplace.
Understanding Bank Profitability: A Regression Model
In the first phase, create the following model:
= 0 +
=1
+
where ROE is
the bank profitability of bank.
ROE
is the dependent variable
α0
is a constant, representing the baseline ROE when other factors are zero.
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The core of the model lies in its independent variables,
Xit
. These are
internal
factors
specific to each bank, grouped by j. These factors include:
1.
Liquidity:
How easily assets can be converted to cash.
2.
Non-performing loans (NPL):
Loans unlikely to be repaid.
3.
Loan loss provision:
Funds set aside for potential loan defaults.
4.
Bank size:
The overall scale of the bank.
5.
Leverage:
The use of borrowed money to finance assets.
6.
Non-interest income:
Income from fees, commissions, etc., not just loans.
7.
Efficiency:
How effectively the bank manages its costs.
8.
Bank credit growth:
The rate at which the bank's loans are increasing.
βj
represents the
impact (effect) of these internal factors
on the bank's performance.
The "lag variable" note suggests that the model might be looking at how past values of
these internal factors affect current ROE.
ϵit
is the
disturbance term
, accounting for everything else that influences ROE but
isn't explicitly included in the model.
In essence, this model seeks to quantify how various internal operational and financial
characteristics of a bank explain its profitability, with a potential focus on the lingering effects
of these factors over time.
Dynamic Model Analysis
In the second phase, a
dynamic model
is used to understand how bank profitability (measured
by
ROE
) and bank stability (measured by the
Z-score
) influence each other over time.
The
model
is:
yit =β0 +β1 yi,t−1 +β2 yi,t−2 +ν1 xi,t−1 +ν2 xi,t−2 +μt +δi +ϵit
Here:
y represents either
bank profitability (ROE)
or
bank stability (Z-score)
.
The model includes
lagged values of the dependent variable (yi,t−1 ,yi,t−2 )
,
meaning current profitability/stability is influenced by its past values.
x represents the other key variable
(if y is ROE, then x is Z-score; if y is Z-score, then
x is ROE), with its own lagged effects (xi,t−1 ,xi,t−2 ). This helps capture the
dynamic interplay.
μt accounts for time-specific effects
(like economic trends affecting all banks in a
given year).
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δi accounts for individual bank-specific effects
(unique characteristics of each bank
that don't change over time).
ϵit is the random error term.
The
Z-score
,
a
key
measure
of
bank
stability,
is
calculated
as:
Z−score=[E(ROAA)+Ebq/Abq]/σ(ROAA). This formula essentially measures how many
standard deviations a bank's return on assets (ROAA) is above its expected value, relative to its
volatility. A higher Z-score indicates greater stability.
Final Phase: Impact of Profitability on Stability
The final phase uses a separate model to specifically study the
impact of profitability on bank
financial stability
.
This model is: Z−score=β0 +∑j=1J νj Xit,j +ϵit
Here:
Z-score
is the dependent variable (bank stability).
Xit,j
represents a group of internal bank factors
as independent variables,
including:
1.
Liquidity
2.
Credit risk
3.
Capital ratio
4.
Bank size
5.
Operating expenses
νj
captures the effect of these lagged internal factors
on the bank's profitability
(implied, as these factors were used to explain profitability in the first phase, and now
their impact on stability is being tested).
β0 is
a constant, and ϵit is the disturbance term.
In summary, this research uses a sophisticated, multi-step approach to disentangle the complex
dynamic and direct relationships between bank profitability and financial stability, considering
both past influences and various internal bank characteristics.
Return on Assets (ROA) serves as an indicator of profitability and functions as the dependent
variable in this study. Conversely, the independent variables include the capital adequacy ratio
(CAR), non-performing loans (NPL), efficiency ratio, loan-to-deposit ratio (LDR), and green
banking disclosure. The ability of management to generate overall profits is evaluated using
Return on Assets (ROA) (Edi, 2022). ROA serves as a generalized metric within the
profitability ratio, which is one of the statistics used to assess financial success (Utari et al.,
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2014). The higher the ROA, the greater the potential profit a business can generate and the
more effectively it can utilize its assets. This increased profitability can enhance the company's
appeal to investors. The formula for calculating ROA can be found in Van Horne and &
Wachowicz (2021)
.:
Ac LDR plays a significant role in a bank's health, impacting profitability, risk exposure, and
overall financial stability. Overall financial stability is essential for maintaining investor
confidence and ensuring regulatory compliance. A well-managed LDR can help banks optimize
their liquidity and support sustainable growth in a competitive market. By carefully balancing
loans and deposits, banks can not only enhance their operational efficiency but also better
navigate economic fluctuations and changing consumer demands.
Figure 1. Bank – Specific Financial Variables
This graph provides a comprehensive overview of key bank-specific variables that are essential
for analyzing the financial performance and stability of banking institutions. Each variable is
defined clearly to facilitate understanding and application in financial assessments.
1
https://www.researchgate.net/publication/379820326_ARE_BANKING_FINANCIAL_PERFORMANCES_AND_GRE
EN_BANKING_DISCLOSURE_ASSOCIATED_WITH_BANK_PROFITABILITY
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Figure 2. Bank-Specific Determinants of Bank Profitability
This graph explores the various bank-specific determinants that significantly influence bank
profitability. Understanding these factors is crucial for stakeholders, including bank
management, investors, and regulators, as they provide insights into how banks can optimize
their operations and enhance their financial performance. The key determinants discussed
include bank size, liquidity, capitalization, risk management, cost management, non-traditional
activities, and labor productivity. Bank profitability is influenced by a variety of bank-specific
determinants. By understanding and managing these factors effectively, banks can enhance
their financial performance and ensure long-term sustainability in a competitive market.
Stakeholders must pay close attention to these determinants to make informed decisions that
drive profitability and growth.
According to the opinion of Athanasoglou in 2005 which “In performing its business, a State-
owned banks have a purpose other than to serve the community; one of its main objectives is to
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seek profit (profit-oriented). Profitability is the ability of banks to generate or obtain profits
used to assess the extent to which banks can generate profits effectively and efficiently”.
Meanwhile, Duraj in 2015 conducted that, bank profitability is the ability of the company; in
this case, the banking company in generating profits.
Conclusion
In conclusion, the quantitative analysis of key financial ratios and results reveals the critical and
often intertwined nature of financial stability and profitability in the banking sector. The
evidence suggests that maintaining adequate capital buffers, ensuring asset quality through
effective credit risk management, and optimizing operational efficiency are paramount for
banks to achieve both sustainable profitability and robust financial stability. These findings
highlight the crucial need for bank management and regulatory bodies to vigilantly monitor
these key ratios and strategically implement measures that cultivate a harmonious equilibrium
between pursuing profitability and safeguarding the resilience of the financial system, thereby
ensuring broader economic stability.
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18. Profitability & Financial Sustainability
