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A CAMEL MODEL ANALYSIS OF PRIVATE BANKS IN INDIA

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Abstract

Performance evaluation of the banking sector is an effective measure and indicator to check the soundness of economic activities of an economy. In the present study, an attempt has been made to evaluate the performance & financial soundness of selected Private Banks in India for the period 2007-2017. CAMEL approach has been used to examine the financial strength of the selected banks. Composite Rankings, Average, and Covariance has been applied here to reach conclusion through the comparative and significant analysis of different parameters of CAMEL. Axis bank is ranked first under the CAMEL analysis followed by ICICI bank. Kotak Mahindra occupied the third position. The fourth position is occupied by HDFC bank and the last position is occupied by IndusInd bank amongst all the selected banks.
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Research Paper
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UGC-Approved Journal No: 47335
ACAMELMODELANALYSISOF
PRIVATEBANKSIN INDIA
Vinod Kumar11Research Scholar, Department of commerce, Kurukshetra University,
Kurukshetra, Haryana, India
Bhawna Malhotra2
2Research Scholar, Department of commerce, Kurukshetra University,
Kurukshetra, Haryana, India
ABSTRACT
Performance evaluation of the banking sector is an effective measure and indicator to
check the soundness of economic activities of an economy. In the present study an
attempt has been made to evaluate the performance & financial soundness of selected Private Banks
in India for the period 2007-2017. CAMEL approach has been used to examine the financial strength
of the selected banks. Composite Rankings, Average, and Covariance has been applied here to reach
conclusion through the comparative and significant analysis of different parameters of CAMEL.
Axis bank is ranked first under the CAMEL analysis followed by ICICI bank. Kotak Mahindra
occupied the third position. The fourth position is occupied by HDFC bank and the last position is
occupied by IndusInd bank amongst all the selected banks.
KEYWORDS: Private Banks, Financial Performance, CAMEL Model.
INTRODUCTION
Banking sector is an important component of
financial system plays a key role in the economic
development of countries and it helps in stimulation of
Capital formation, innovation and monetization in
addition to facilitation of monetary policy (Said & Tumin,
2011). Indian banking industry has undergone several
changes during the liberalization process. Indian
banking sector has been dominated by public sector
banks since 1969 when all major banks were nationalised
by the Indian government. However, after liberalisation
in government banking policy in the 1990s old and new
private sector banks have grown faster and bigger over
the last two decades by using the latest technology,
providing contemporary innovations and monetary
tools and techniques. The Ind ian banking system
emerged unhurt from theglobal financial crisisof 2008,
but the subsequenteconomic slowdown(barring 2009-
10) has exerted pressure on banks’ profitability and
capital. Private sector banks have seen improvement in
asset quality and efficiency parameters, whereas public
sector banks have seen declines in both areas (Baru,
20 10). Sound finan cia l hea lth and pe rfo rmance
evaluation of a bank is significant for the depositors,
shareholders, employees and the whole economy of a
country becauseit determines banks’ capabilities to
compete in the sector and has a critical role for the
development of the sector. As a result to this statement,
efforts have been made from time to time, to measure
the financial position of each bank and manage it
efficiently and effectively (Mohiuddin, 2014). It is of
great importance to evaluate the overall performance of
banks by implementing a regulatory banking supervision
framework. One of such measures of supervisory
information is the CAMEL rating system which was put
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into effect firstly in the U.S. in 1979, and now it has been
proved to be a useful and efficient tool in response to
the financial crisis in 2008 by the U.S. government (Dang,
2011).
This study is organized as follows: the next
section following the introduction discusses the relevant
literature. The third section defines the Objective and
Methodology of the study. In fourth section results and
analysis are described, and the final section presents
the main conclusions and suggestions.
LITERATURE REVIEW
Mathuva (2009) examined the relationship between
Cost Income Ratio (CIR), Capital Adequacy Ratio (CAR)
and profitability for the period 1998 to 2007. The study
found that capital adequacy had differential impact on
the profitability of the bank. Mishra et al (2012)
analyzed the performance of 12 public and private sector
banks for the period 2000-2011 by using CAMEL
approach. It was concluded that private sector banks
were growing at faster pace as compared to public sector
banks. Union bank and SBI had displayed low economic
soundness. Misra(2013) assessed the performance
and financial soundness of State Bank Group using
CAMEL approach. The study concluded that there is a
requirement to improve its position in respect to asset
quality and capital adequacy. Erol (2013) compared
the performance of Islamic banks against conventional
banks in Turkey during the period of 2001-2009. The
results showed that Islamic banks performed better in
profitability and asset management ratios compared to
conventional banks but slow in sensitivity to market
risk criterion. Rostami (2015) analyzed the impact of
each parameter of CAMELS model on the performance
of Ir a nian banks . Q-Tobi ns ra t io was used as
performance indicator in this study. It was found that
there was significant relation between each category of
camel model and Q-Tobin’s ratio as bank’s performance
ratio. Majumdar (2016) measured the financial
performance of 15 banks in Bangladesh for the period
2009-2013. CAMEL model had been used to examine the
financial soundness of selected banks. Composite
Ranking, average and ANOVA test had been applied to
the data. The study concluded that there had been
significant difference in the performance of selected
banks. The study suggested that banks should take
required steps to recover their shortcomings. Ramya
(2017) analyse the financial performance of State Bank
of India for the study period 2012-2016 through the use
of CAMEL approach. It was concluded that there is a
need to take necessary steps to improve the position of
SBI in the context of few parameters i.e., debt-equity,
operating profit, and non-interest income to total income.
Sin gh (201 7 ) e x ami n ed the capit a l a dequa c y
performance of private and public sector banks in India
for a period of 2006-2015. The study found that all the
banks had sound capital adequacy position except
Central Bank of India.
OBJECTIVE & RESEARCH
METHODOLOGY
The main purpose of this paper is an attempt
to compare the performance of selected Private Banks
and to investigate the factors that mainly affects the
financial performance of the selected banks in India.
The present study is Descriptive cum exploratory in
nature as it try to obtain information concerning the
current status of the phenomena and to describe “what
exists” with respect to variables. Top five private sector
banks i.e. HDFC Bank, ICICI Bank, Kotak Mahindra,
Axis Bank, Indus Ind Bank; as per their mar ket
capitalization are selected from the listed banks on BSE.
This study is purely based on secondary data which is
collected fro m annual reports of selected banks,
Capitaline data base and Reserve Bank of India, for the
time period of Ten years i.e. from year 2006-07 to year
2016-17. CAMEL approach has been used to examine
the financial strength of the selected banks. Certain
ratios have been calculated under each acronym of
CAM EL and Compo si te Rankings, Average , and
Covariance are applied here to reach conclusion through
the comparative and significant analysis of different
parameters of CAMEL.
RESULTS AND ANALYSIS
In this section we will analyse the financial
soundness of the selected banks based on the CAMEL
framework. Only those indicators are selected which
are appropriate for the study. The selection of
indicators is based on their analytical significance,
availability of data for compilation, calculation and its
relevance for the study. The following table shows the
selected indicators for the study under each acronym
of CAMEL:-
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Table1: Calculated ratio under CAMELmodel
Capital Adequacy
AssetsQuality
Managerial
Efficiency
Earning
Capabilities
Liquidity
Capital Adequacy
Ratio
Capital Adequacy
Ratio tier 1
Capital Adequacy
Ratio tier 2
Net NPA to Net
Advance
Secured Advance
to total Advance
Term loans to
Total Advance
Return on
Equity(ROE)
Business Per
Employee
Profit per
Employee
Return on Net
Worth
Return on Assets
Net Interest
Margin
Operating Profit to
Total Assets
Non-Interest
Income tototal
assets
Cash Deposit Ratio
Credit Deposit
Ratio
Investment
Deposit Ratio
1. CAPITAL ADEQUACY
Capital Adequacy indicates whether the bank
has enough capital to absorb unexpected losses. It is
requ ired to mainta in dep ositors’ confid ence and
preventing the bank from going bankrupt (Reddy, 2012).
“Meeting statutory minimum capital requirement is the
key fact or in dec id ing the capital adequacy, and
maintaining an adequate level of capital is a critical
elem ent (The Unit ed States Unif orm Finan cia l
Institutions Rating System 1997) it shows the ability of
the firm that liability could be privileged. If there is any
loss of loans it will be a great risk for banks to meet the
demand of their depositors. Therefore, to prevent the
bank from failure, it is necessary to maintain a significant
level of capital adequacy (Chen, 2003). As per regulatory
norms, Indian scheduled commercial banks are required
to maintain a CAR of 9% while Indian public sector
banks are emphasized to maintain a CAR of 12%.
Table 2: Capital Adequacy of selected banks
Parameters
ICICI
Kotak
Mahindra
IndusInd
Bank
Capital
Adequacy
Ratio
Mean
16.88
17.63
13.89
St. Dev.
2.40
1.89
1.47
C. V.
5.77
3.57
2.16
RANK
2
1
5
Tier 1
Capital
Mean
12.23
15.25
10.76
St. Dev.
1.71
2.41
2.69
C. V.
2.93
5.82
7.22
RANK
2
1
4
Tier 2
Capital
Mean
4.65
2.38
3.12
St. Dev.
1.23
1.34
1.92
C. V.
1.52
1.80
3.69
RANK
1
5
4
Composite
Average
1.67
1.4
4.33
Rank
2
1
5
Source: Compiled from annual reports of respective bank
The above table shows that in term of overall
Capital Adequacy Kotak Mahindra has top position
followed by ICICI, HDFC and Axis bank. The lowest
composite rank represents the good position for the
bank. On the other hand, IndusInd bank has the lowest
position in comparison to other banks under the study.
Capital adequacy highest in case of Kotak Mahindra
bank which is 17.63 and IndusInd bank has 13.89. ICICI
has suffered from highest slandered deviation which
shows more volatility as compare to other bank.
2. ASSET QUALITY
The quality of assets is an important parameter
to examine the degree of financial strength. The
primary objective to measure the assets quality is to
ascertain the composition of non-performing assets
(NPAs) as a percentage of the total assets.
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Table 3: Asset Quality of selected banks
Parameters
HDFC
ICICI
Kotak
Mahindra
Axis Bank
IndusInd
Bank
Net NPA to
Net
Advance
Mean
0.32
1.50
1.29
0.45
0.82
St. Dev.
0.14
0.69
0.60
0.15
0.81
C. V.
0.02
0.47
0.36
0.02
0.66
RANK
1
5
4
2
3
Secured
Advance to
total
Advance
Mean
74.95
80.86
78.85
83.16
89.56
St. Dev.
2.47
4.65
4.66
3.17
2.46
C. V.
6.12
21.65
21.68
10.03
6.05
RANK
5
3
4
2
1
Term loans
to Total
Advance
Mean
66.47
80.96
78.32
70.21
67.72
St. Dev.
8.05
2.62
7.38
1.25
5.61
C. V.
64.77
6.85
54.50
1.55
31.52
RANK
5
1
2
3
4
Composite
Average
3.67
3
3.33
2.33
2.67
Rank
5
3
4
1
2
Source: Compiled from annual reports of respective banks
From the Table No. 3, it is witnessed that assets
quality of Axis bank is much better as compare to other
bank. IndusInd bank got second place in assets quality
foll owed by ICICI , Kotak Mahindra and HDFC
respectively. Net NPA to Net Advance ratio (Lowest
value provide lowest rank) shows that HDFC (0.32) has
the better condition with standard deviation 0.14. Where
Secured Advance to total Advance depicts that highest
value 89.56 obtain by the IndusInd bank and standard
deviation value is 2.46. Term loans to Total Advance
showed that ICICI have highest value (66.47) with
standard deviation 8.05) which is more volatile in
comparison to other.
3. MANAGMENT EFFICIENCY
Ma nag e me nt effici enc y is anothe r vita l
component of the CAMEL model that ensures the
survival and growth of a bank. While the other factors
of CAMEL model can be quantified easily from current
financial statements, management quality is a somewhat
indefinable and subjective measure, yet one that is
crucial for institutional success. The banking sector
reforms reinforce the need to improve productivity of
the banks through appropriate measures which aim at
re ducing the operating cos t and impro ving the
profitability of the banks.
Table 4: Managerial Efficiency of selected banks
Parameters
HDFC
ICICI
Kotak
Mahindra
Axis Bank
IndusInd
Bank
Return on
Equity
Mean
18.53
11.45
12.66
18.70
14.50
St. Dev.
1.52
2.25
2.34
1.26
4.55
C. V.
2.31
5.07
5.47
1.58
20.74
RANK
2
5
4
1
3
Business
Per
Employee
Mean
72.45
69.09
55.70
122.54
84.50
St. Dev.
21.18
36.80
14.26
14.26
11.28
C. V.
448.64
1354.48
203.33
203.29
127.32
RANK
3
4
5
1
2
Profit per
Employee
Mean
0.84
18.63
0.72
1.31
0.70
St. Dev.
0.32
35.15
0.28
0.33
0.28
C. V.
0.10
1235.39
0.08
0.11
0.08
RANK
3
1
4
2
5
Return on
Net Worth
Mean
18.49
11.51
12.68
18.71
15.80
St. Dev.
1.57
2.26
2.33
1.27
4.33
C. V.
2.48
5.13
5.41
1.61
18.74
RANK
2
5
4
1
3
Composite
Average
2.5
3.75
4.25
1.25
3.25
Rank
2
4
5
1
3
Source: Compiled from annual reports of respective bank
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Table no 4 depicts that managerial efficiency
of Axis bank is better in comparison to other banks
followed by HDFC, IndusInd bank and ICICI banks
respectively and Kotak Mahindra got lowest rank.
Return on Equity and business per employee analysis
shows that the Axis banks have highest value with mean
18.70 and 122.54 respectively. ICICI bank has highest
Profit per Employee mean value i.e. 18.63 and standard
deviation 35.15. Axis bank shows better position in terms
of Return on Net Worth with mean and standard
deviation 18.71 and 1.27 respectively.
4. EARNING QUALITY
The quality of earnings is crucial criterion that
determines the ability of a bank to earn consistently.
Basically, it determines the profitability of bank and
explains its sustainability and growth in earnings in
future context. Banks depend on their strong earning
capability to perform the activities such as funding
dividends, maintaining adequate capital levels, providing
for investment opportunities to for bank for growth,
strategies for engaging in new activities and maintaining
the competitive outlook
Table 5: Earning Quality of selected banks
Parameters
HDFC
ICICI
Kotak
Mahindra
Axis Bank
IndusInd
Bank
Return on
Assets
Mean
1.67
1.40
1.52
1.58
1.27
St. Dev.
0.28
0.30
0.38
0.23
0.60
C. V.
0.08
0.09
0.14
0.05
0.36
RANK
1
4
3
2
5
Net
Interest
Margin
Mean
4.29
2.47
4.68
3.04
2.81
St. Dev.
0.20
0.43
0.48
0.29
0.88
C. V.
0.04
0.18
0.23
0.08
0.77
RANK
2
5
1
3
4
Operating
Profit to
Total
Assets
Mean
3.19
2.59
2.85
2.90
2.32
St. Dev.
0.09
0.46
0.48
0.36
0.88
C. V.
0.01
0.21
0.23
0.13
0.78
RANK
1
4
3
2
5
Non-
Interest
Income to
total assets
Mean
1.85
1.97
1.74
2.05
1.95
St. Dev.
0.14
0.25
0.31
0.20
0.44
C. V.
0.02
0.06
0.10
0.04
0.19
RANK
4
2
5
1
3
Composite
Average
2
3.75
3
2
4.25
Rank
1.5
4
3
1.5
5
Source: Compiled from annual reports of respective banks
Table 5 depicts that HDFC and Axis bank has
top position in term of earning quality followed by Kotak
Mahindra and ICICI bank and lowest position secured
by IndusInd bank. Return on Assets is highest in case
of HDFC bank with mean value 1.67 and lowest in
IndusInd bank with mean value 1.27. Kotak Mahindra
has highest net interest margin and ICICI has lowest
with mean 4.68 and 2.47 respectively. Operating Profit
to Total Assets shows that HDFC has the highest
position and Axis bank got the highest position in term
of Non-Interest Income to total assets with mean value
3.19 and 2.05 respectively.
5. LIQUIDITY
Liquidity has a significant impact on financial
soundness and it evaluates the operational performance
of a bank. It indicates the capacity of a bank to pay its
short term debts and face unexpected withdrawals of
dep o sito r s . L iquid i ty shows t h e a b ilit y o f a n
organisation to convert its assets into cash without any
loss. Liquidity of the banks assures the depositors that
they can access to their funds whenever need arise and
shows the stability and longevity of banks. While too
much liquidity has a negative impact on profitability,
too little liquidity increases the risk of insolvency.
Vi nod Kumar & Bhaw na Malh otr a
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Table 6: Liquidity Quality of selected banks
Parameters
HDFC
ICICI
Kotak
Mahindra
Axis Bank
IndusInd
Bank
Cash
Deposit
Ratio
Mean
8.02
8.57
6.42
6.75
6.47
St. Dev.
2.54
2.32
1.79
1.06
1.05
C. V.
6.43
5.37
3.21
1.13
1.11
RANK
2
1
5
3
4
Credit
Deposit
Ratio
Mean
76.15
97.39
94.76
76.82
79.80
St. Dev.
6.74
6.38
6.62
8.90
10.40
C. V.
45.37
40.74
43.78
79.17
108.26
RANK
5
1
2
4
3
Investment
Deposit
Ratio
Mean
37.77
50.81
51.81
39.97
35.39
St. Dev.
5.59
8.61
8.55
3.44
2.46
C. V.
31.28
74.14
73.14
11.82
6.04
RANK
4
2
1
3
5
Composite
Average
3.67
1.33
2.67
3.33
4
Rank
4
1
2
3
5
Source: Compiled from annual reports of respective banks
Above table present that liquidity position of
ICICI bank is much better followed by Kotak Mahindra,
Axis bank, and HDFC respectively. IndusInd bank
secured the lowest position in term of liquidity. ICICI
Bank has strong position in case of in case of cash
deposit ratio and credit deposit ratio. Kotak Mahindra
has highest average investment deposit ratio i.e. 51.81
with standard deviation 8.55.
OVERALL RANKING
The overall ranking of the banks considering
all the sub criteria rankings under CAMEL analysis
over the ten years period (2007-2017) is presented in
following Table 1-6. The group rankings of all the banks
considered for the purpose of study is taken and
averaged out to reach at the overall grand ranking. Axis
bank is ranked first under the CAMEL analysis followed
by ICICI. Kotak Mahindra occupied the third position.
The fourth position is occupied by HDFC. The last
position under CAMEL analysis is occupied by
IndusInd bank amongst all the selected banks during
the year 2007-2017.
Table 8: Overall ranking of the selected banks based on the CAMELS parameters
Bank
Capital
Adequacy
Assets
quality
Managerial
efficiency
Earning
capacity
Liquidity
AVERAGE
Rank
HDFC
3
5
2
1.5
4
3.1
4
ICICI
2
3
4
4
1
2.8
2
Kotak
Mahindra
1
4
5
3
2
3
3
Axis
Bank
4
1
1
1.5
3
2.1
1
IndusInd
Bank
5
2
3
5
5
4
5
CONCLUSION AND SUGGESTION
By consider ing all of the parameter s of
CAMEL, it is seen that Axis bank is at the top position
as assessed by the CAMEL Model compared to other
ban ks under t he stud y. Axis bank h as stron g
performance in case of Asset Quality, Management
efficiency and Earnings Ability while it is lag behind in
case of capital adequacy. On the other side, IndusInd
bank at the lowest position compared to other banks
under the study due to its poor performance in the
context of Capital Adequacy, Earnings Ability and
Liquidity whereas it perform better in case of capital
adequacy. Therefore, IndusInd bank should improve its
position in particular weak areas. Therefore, the policy
makers of the related lowest ranking banks should take
necessary steps and try to find out solution to improve
their weaknesses by using the findings this study.
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of Multifaceted and Multilingual Studies,3(10).
Vi nod Kumar & Bhaw na Malh otr a
... The CAMEL rating system is a supervisory tool that has proven useful since the 2008 crisis. This tool was developed in the US in 1979 by the three federal regulatory banking authorities (Daboh & Duramany-Lakkoh, 2023;Kumar & Malhorta, 2017;Roman & Sargu, 2013). According to Bodla and Verma (2006), the CAMEL rating system may help regulators identify banks needing special attention. ...
... The regulator sets these ratios to ensure that the commercial banks maintain sufficient liquid assets to satisfy the demand for cash by depositors whenever needed. While too little liquidity can trigger insolvency, too much can result in lower profitability (Kumar & Malhorta, 2017). The ratio of liquid assets to total assets is a good measure of the liquidity position of commercial banks and is used in this study. ...
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The study evaluates the performance of commercial banks in Guyana using prudential ratios that capture the five essential dimensions of a bank’s operation. It applies the CAMEL rating system and Linear Discriminant Analysis on quarterly prudential ratios of all the commercial banks that operated in Guyana between 2017 and 2021. The CAMEL analysis reveals that Demerara Bank Limited (DBL) is the best-performing bank, and the Guyana Bank for Trade and Industry (GBTI) is the worst-performing bank. However, the one-way ANOVA technique suggests no significant differences between the average values of the prudential ratios in the CAMEL model. Based on the Linear Discriminant Analysis, only four ratios differentiate between good-performing and poor-performing banks.These findings provide valuable insights to regulators that employ these tools to identify poor-performing banks to safeguard the stability and soundness of their domestic banking system. By applying the CAMEL rating system and Linear Discriminant Analysis simultaneously in Guyana, an emerging economy in the Caribbean, for the first time, the study contributes to the literature that utilizes these tools to assess the performance of commercial banks.
... CAMELS model is a standardized financial rating system adopted by the Federal Financial Institution Examination Council (FFIEC, U.S.) on 13 November 1979 (Babu and Kumar, 2017). Camels model is basically ratio based model for evaluating the performance of banks. ...
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This paper compares the pre and post acquisition effects on financial performance of an acquired bank i.e. IDBI bank ltd. for a period of 10 years from 2015 to 2024. This evaluation has been done by using CAMELS Analysis, the latest model of financial analysis and by using DuPont analysis having 3-steps and 5-steps model. The knowledge of financial performance helps in predicting, comparing and evaluating the earning ability of the bank. The data is collected from various secondary sources such as annual reports of the bank, business reports, magazines and financial websites such as money control and yahoo finance. The findings of the study show that there is a good impact of acquisition on the capital adequacy, Assets Quality, earnings of the bank were also increased and Net NPA is also decreased. Overall this study shows positive effects of acquisition on the financial performance of IDBI Bank.
... Many research works focused on examining the performance of private sector banks and ranked various banks based on their performance (Garg, 2022;Biswas & Bhattacharya, 2020;Kumar & Malhotra, 2017). At the same time, few authors focused on only public sector banks and their performance (Kaur et al., 2015;Misra & Aspal, 2013). ...
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Small Finance Banks (SFBs) are specialised banking institutions incorporated to serve the unbanked, small and underserved customers. Their primary motive is to improve financial access by providing access to essential financial services. This article examines the performance of ten SFBs in India over four years. The CAMELS model has been applied for performance analysis, which provides performance and ranking of various SFBs using the model’s six parameters: Capital adequacy, Asset quality, Management, Earning quality, Liquidity and Sensitivity. This study will help identify SFBs in financial distress, which will be helpful in timely action for their revival. Financial analysts and credit rating agencies can also use the comparative performance of these banks to frame their opinion or ratings. The common public, including customers and investors, can frame their short-term and long-term investment decisions based on the performance and ranking of these institutions. Furthermore, a proper assessment of these banks is needed as their good performance can ensure that formal credit availability reaches the grassroots level.
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This study evaluates the financial performance of Axis Bank over a five-year period (2020–2024) using the CAMEL model, which assesses five key parameters: Capital Adequacy, Asset Quality, Management Efficiency, Earnings, and Liquidity. The research uses a quantitative approach and relies on secondary data sourced from Axis Bank’s annual reports, official website, and financial journals. The study analyzes various financial ratios, including the Debt-Equity Ratio, Return on Equity, Liquid Assets to Total Assets Ratio, Credit to Deposit Ratio, and Net NPA to Total Assets Ratio. Correlation analysis is applied to explore the relationships between these financial indicators, providing insights into the bank’s financial stability and risk management practices. The findings indicate that higher debt levels negatively impact ROE and equity positions, while improved liquidity and investment levels contribute positively to asset quality and profitability. However, the correlations are not consistently significant, suggesting that external factors such as market conditions and regulatory policies may influence these relationships. The study highlights that Axis Bank maintains a strong equity base and liquidity position, allowing for better investment management and operational efficiency. Despite its limitations, this research provides valuable insights for investors, policymakers, and banking professionals, aiding in decision-making and strategic planning. The results contribute to financial literature by offering a data-driven assessment of Axis Bank’s performance and identifying areas for improvement.
Article
Banking industry is the pivot around which the whole economy of a country revolves around. In India, banking industry play a great role and thus is one of the fastest growing industries. The Indian government has introduced various banking reforms, with the latest being the mega mergers of public sector banks. Due to such reforms many changes have been seen in this industry, be it financial or infrastructural. In this context, a study has been done to evaluate the financial performance of PNB, India’s Second largest public sector bank and ICICI, India’s second largest Private Sector Bank for the last 6 years from 2017-2018 to 2022-2023. The CAMEL model, a framework extensively used in the banking industry, is used in this study to perform an extensive comparison of two well-known banks functioning in India's vibrant financial ecosystem. Study is based on primary as well as secondary data collected from the annual reports of respective banks for the above-mentioned period. As per this study, it can be concluded that ICICI being a private player has been performing well in comparison to PNB. These comparison findings have major implications for Indian banking investors, regulators, and policymakers. In conclusion, the financial comparison utilizing the CAMEL model provides a good view on PNB and ICICI's strengths and weaknesses.
Article
Banking industry is the pivot around which the whole economy of a country revolves around. In India, banking industry play a great role and thus is one of the fastest growing industries. The Indian government has introduced various banking reforms, with the latest being the mega mergers of public sector banks. Due to such reforms many changes have been seen in this industry, be it financial or infrastructural. In this context, a study has been done to evaluate the financial performance of PNB, India’s Second largest public sector bank and ICICI, India’s second largest Private Sector Bank for the last 6 years from 2017-2018 to 2022-2023. The CAMEL model, a framework extensively used in the banking industry, is used in this study to perform an extensive comparison of two well-known banks functioning in India's vibrant financial ecosystem. Study is based on primary as well as secondary data collected from the annual reports of respective banks for the above-mentioned period. As per this study, it can be concluded that ICICI being a private player has been performing well in comparison to PNB. These comparison findings have major implications for Indian banking investors, regulators, and policymakers. In conclusion, the financial comparison utilizing the CAMEL model provides a good view on PNB and ICICI's strengths and weaknesses.
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Merger is the most common method employed by banks (or any other company) to enhance and maintain their market positions. The main objective of the paper is to examine the impact of the merger on the financial performance of SBI before and after the merger. The paper also compares the pre-and post-merger effects caused by its financial performance by the Camel approach. Secondary data is used in the paper covering the total period of eight years which includes four-year prior merger (2012-16) and four-year post-merger (2017-2021). The Camel analysis technique is used and a paired sample t-test has been conducted to check the statistical significance difference between before and after merger Camel ratios. The analysis shows that the financial performance of SBI increased after the merger and was positively impacted by merger activity.
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NPA is a very significant factor that affects the growth and development of any banking institutions in an economy. The present paper attempts to investigate the impact of Net Non- performing Assets (NNPAs) of selected leading banks by market capitalisation namely: State Bank of India (SBI) and HDFC Bank. The study has been conducted for a time period ranging from FY2008-09 to FY2021-22. For the purpose of conducting the research the data has been collected from secondary sources such as annual reports, journals, etc. Correlation analysis has been used to compute the relationship between Net Non Performing Assets (NNPAs) and profitability of selected banks and regression analysis has been incorporated to find out the causal impact between them. More interestingly, this paper also uses CAMEL model to access the financial strengths of both banks for five financial years covering FY18 to FY22.
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INTERNATIONAL CONFERENCE ON BUSINESS TRANSFORMATION DURING COVID-19 PANDEMIC SITUATION IN INDIA,” ICBTCPI – 2021
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This study attempts mainly to measure the financial performance of the fifteen (15) selected banks in Bangladesh and to identify whether any significant difference exists in the performance of the selected banks for the period 2009-2013. CAMEL Model has been used to examine the financial strength of the selected banks. Composite Rankings, Average, and ANOVA-test by using SPSS are applied here to reach conclusion through the comparative and significant analysis of different parameters of CAMEL. It is found that under the capital adequacy ratio parameter IBBL is the top position, while IFICBL got lowest rank. Under the asset quality parameter, AIBL held the top rank while RBL held the lowest rank. Under management efficiency parameter, it is observed that top rank taken by EBL and lowest rank taken by RBL. In terms of earning quality parameter the capability of EBL got the top rank while TBL was at the lowest position. Under the liquidity parameter DBBL stood on the top position and NCCBL & BAL both are on the lowest position. By considering all of the parameters of CAMEL, it is seen that EBL is the top position assessed by the CAMEL Model compared to other banks under the study because of its strong performance on the Capital Adequacy, Asset Quality, Management and Earnings Ability. EIBBL is the second position, followed by DBBL, AIBL, IBBL and other banks respectively. On the other hand, RBL is the lowest position compared to other banks under the study because of its poor performance on the Capital Adequacy, Asset Quality, Management Efficiency and Earnings Ability. Therefore, RBL should improve the weaknesses of the mentioned ratios of the CAMEL. The ANOVA test signifies that there is a significant difference in the performance of the selected banks in Bangladesh assessed by the CAMEL model. Therefore, the policy maker of the related lowest ranking banks should take necessary steps to improve their weaknesses from the findings under the study.
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Purpose – The purpose of this paper is to attempt to compare the performance of Islamic banks against conventional banks in Turkey. This comparison is much more distinctive and significant in Turkey when compared to other countries, as Turkey stands as a model for the world in interest-free banking system. Design/methodology/approach – The comparative performance analysis was conducted by means of logistic regression method during the period of 2001-2009. The CAMELS approach is utilized to assess the managerial and financial performance of banks. Findings – The results signify that Islamic banks operating in Turkey perform better in profitability and asset management ratios compared to conventional banks but lag in sensitivity to market risk criterion. These findings might mainly be ascribed to the fact that these banks allow lower provisional losses compared to conventional banks and have some tax advantages. Research limitations/implications – Utilizing a more recent and consistent data set, the analyses could be replicated to determine if the results are subject to any sample bias. Practical implications – These finding reveal significant implications for potential entrants into Turkish banking sector particularly for foreign investors. Social implications – The findings from this study may reinforce the awareness and confidence in participating banks in Turkey. Originality/value – Turkey is particularly interesting to conduct this analysis because Turkey is a Muslim but secular country and both Islamic and conventional banks are subject to same set of banking regulations which are based on Western traditional banking system. Furthermore, to the knowledge, there is not a comprehensive study that compares the performance of conventional and Islamic banks in a Western banking system.
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The objective of this paper is to analyze the performance of 12 public and private sector banks over a period of eleven years (2000-2011) in the Indian banking sector. For this purpose, CAMEL approach has been used and it is established that private sector banks are at the top of the list, with their performances in terms of soundness being the best. Public sector banks like Union Bank and SBI have taken a backseat and display low economic soundness in comparison.
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Due to the nature of banking and the important role of banks in the economy in capital formation, banks should be more closely watched than any other type of economic unit in the economy. The CAMEL supervisory system in banking sector is a substantial improvement over the earlier systems in terms of frequency, coverage and focus. In the present study an attempt is made to evaluate relative performance of banks in India using CAMEL approach. It is found that public sector banks have significantly improved indicating positive impact of the reforms in liberalizing interest rates, rationalizing directed credit and Investments and increasing competition.
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This study provides evidence that supports the Central Bank of Kenya`s move to gradually raise bank capital levels by 2012 and to tightly monitor the operations of banks so as to ensure that Kenyan banks are more efficient in their operations while at the same time being profitable. With the present global credit crunch, capital adequacy and the cost-income ratio being critical for banks, the present study examines the relationship between these variables and profitability. Using the return on assets and the return on equity as proxies for bank profitability for the period 1998 to 2007, the study finds that bank profitability is positively related to the core capital ratio and the tier 1 risk-based capital ratio. This implies that an increase in capital may raise expected earnings by reducing the expected costs of financial distress, including bankruptcy. The study also establishes that there exists negative relationship between the equity capital ratio and profitability. The study also finds out that Kenyan banks are not competitive enough globally in terms of their efficiency as measured by the Cost-Income Ratio (CIR). The study reveals that the CIR is inversely related to both bank profitability measures. The study also reveals that the CIRs of Kenyan banks are higher than those of developed countries. This means that Kenyan banks should strive to keep their CIR to a minimum level, if possible below the 50% threshold for them to be more efficient so as to be globally competitive.
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The economic importance of banks to the developing countries may be viewed as promoting capital formation, encouraging innovation, monetization, influence economic activity and facilitator of monetary policy. Performance evaluation of the banking sector is an effective measure and indicator to check the soundness of economic activities of an economy. In the present study an attempt was made to evaluate the performance & financial soundness of State Bank Group using CAMEL approach. It is found that in terms of Capital Adequacy parameter SBBJ and SBP were at the top position, while SBI got lowest rank. In terms of Asset Quality parameter, SBBJ held the top rank while SBI held the lowest rank. Under Management efficiency parameter it was observed that top rank taken by SBT and lowest rank taken by SBBJ. In terms of Earning Quality parameter the capability of SBM got the top rank while SBP was at the lowest position. Under the Liquidity parameter SBI stood on the top position and SBM was on the lowest position. SBI needs to improve its position with regard to asset quality and capital adequacy, SBBJ should improve its management efficiency and SBP should improve its earning quality.
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Many believe that banks in China are seriously undercapitalised. However, what is a suitable standard for capital adequacy of these banks? Does the Basel Accord apply to them absolutely and sufficiently? This paper reviews the situation and regulation of the capital adequacy of state commercial banks in China. It finds that while government support is proved to be the invisible treasure of state banks, capital enhancement is always desired and the most practical method is to use subordinated debt to increase their supplementary capital.
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This study aims to investigate the impact of bank-specific factors which include the liquidity, credit, capital, operating expenses and the size of commercial banks on their performance, which is measured by return on average assets (ROAA) and return on average equity (ROAE). The results imply that ratios employed in this study have different effects on the performance of banks in both countries, except credit and capital ratios. Operating ratios influence performance of banks in China, but this influence is not true for Malaysian banks regardless of the measure of performance.
Indian banks: Five years after global financial crises
  • Baru
Baru, (2014 February 11) Indian banks: Five years after global financial crises, Business standard Retrieved from http://www.business-standard.com