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Effect of Cash Reserves on Performance of Commercial
Banks in Kenya: A Comparative Study between National Bank
and Equity Bank Kenya Limited
Aloys Jared Oganda, Vitalis Abuga Mogwambo, Simeyo Otieno
To Link this Article: http://dx.doi.org/10.6007/IJARBSS/v8-i9/4648 DOI: 10.6007/IJARBSS/v8-i9/4648
Received: 06 August 2018, Revised: 13 Sept 2018, Accepted: 29 Sept 2018
Published Online: 15 October 2018
In-Text Citation: (Oganda, Mogwambo, & Otieno, 2018)
To Cite this Article: Oganda, A. J., Mogwambo, V. A., & Otieno, S. (2018). Effect of Cash Reserves on Performance
of Commercial Banks in Kenya: A Comparative Study between National Bank and Equity Bank Kenya Limited.
International Journal of Academic Research in Business and Social Sciences, 8(9), 685704.
Copyright: © 2018 The Author(s)
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Effect of Cash Reserves on Performance of
Commercial Banks in Kenya: A Comparative Study
between National Bank and Equity Bank Kenya
Limited
Aloys Jared Oganda
MBA Candidate School of Business and Economics, Jaramogi Oginga Odinga University of Science
and Technology, Kenya
Vitalis Abuga Mogwambo
Lecturer School of Business and Economics, Jaramogi Oginga Odinga University of Science and
Technology, Kenya
Simeyo Otieno
Lecturer School of Business and Economics, Jaramogi Oginga Odinga University of Science and
Technology, Kenya
Abstract
Banks optimize their liquidity risk by assuming the externalities posed by their choices on the overall
risk of the financial system. The banking sector in Kenya has experienced liquidity challenges ranging
from funding to market risks. The purpose of this study was to assess the effect of cash reserves on
performance of commercial banks in Kenya. The study found that cash reserves had a strong negative
correlation with return on equity giving a significant negative relationship with performance of Equity
bank. The study recommended that banks should minimize cash reserves and instead invest this
money in productive investments, diversify their sources of funding, diversify their investments of
these funds.
Introduction
The banking sector plays a critical role in the development process and is expected to drive high levels
of savings and financing of Kenya’s investment needs. Despite its importance, the sector’s growth
including other monetary intermediation declined from 10.1 per cent in 2015 to 7.1% in 2016.
Moreover, ROE declined to 24.8 percent in December 2016 from 27 percent in September 2016 (KNBS
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report, 2017). Further, the Kenyan banking sector has experienced a number of challenges including
funding and market risks (CBK, 2016). For instance, Imperial Bank Limited and Chase Bank Limited are
under receivership while Dubai Bank Kenya Limited was liquidated in 2015 (CBK report, 2016).
National Bank is also experiencing liquidity challenges and despite the government ownership of
70.55% (22.5%, Treasury and 48.05%, NSSF), it has the highest cost to Income ratio at 64.6% against
the industry average of 47.1% and the largest NPLs to loans at 42.1% against the industry average of
10.6%, with one of lowest NPL coverages at 18.1% against the industry average of 35.4% (Cytonn
Investments report, 2016).
Despite Equity bank having had an improvement in NIM from 10.6% in 2015 to 11.1% in 2016, ROE
however reduced from 25.5% in 2015 to 21.5% in 2016 while ROA declined to 3.7% in 2016 from 4.5%
in 2016 (Cytonn Investments report, 2017).These banks are exposed to liquidity related risks and
inadequate framework to support the banking business. The review of empirical studies showed
mixed results as to how and to what extent liquidity risk management affects performance of
commercial banks. Therefore this study sought to close the gaps by providing a deeper understanding
of the effect of liquidity risk management on the performance of commercial banks in Kenya using a
comparative analysis approach.
Objectives of the Study
The study sought to determine the effect of cash reserves on performance of commercial banks in
Kenya.
LITERATURE REVIEW
This chapter presents the concept of commercial banks, managing cash reserves, sources of liquidity
risk, empirical and theoretical literature on liquidity risk management and the performance of
commercial banks.
The Concept of Commercial Banks
A commercial bank is a financial institution, which provides services such as accepting deposits, giving
business loans and auto loans, mortgage lending and basic investment products like savings accounts
and certificates of deposit. The Banking industry in Kenya is governed by the Companies Act, the
Banking Act, the Central Bank of Kenya Act and the various prudential guidelines issued by CBK. Kenya
has a total of 42 commercial banks with two banks; Chase bank and Imperial bank in receivership, 1
mortgage finance company, 12 microfinance banks, 8 representative offices of foreign banks, 86
foreign exchange bureaus, 14 money remittance providers and 3 credit reference bureaus (Cytonn,
2017).
Sources of Liquidity Risk for Banks
Liquidity risk is the possibility that over a specific time period, the bank will become unable to settle
obligations with immediacy (Drehmann & Nikolaou, 2009). The vulnerability of banks to liquidity risk
is determined by the funding risk and the market risk. The funding liquidity risk is caused by the
maturity mismatch between inflows and outflows and/or the sudden and unexpected liquidity needs
due to contingency conditions. The market liquidity risk refers to the inability to sell assets at or near
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the fair value, and in the case of a relevant sale in a small market; it can emerge as a price slump
(Brunnermeier & Pedersen, 2009).
On the liability side, there is a large uncertainty on the amount of withdrawals by depositors or
renewal of rolled-over inter-bank loans. This is especially so when the bank is under suspicion of
insolvency, when there is a temporary shortage of liquidity or when the economy undergoes a
macroeconomic shock. On the assets side also, there is some uncertainty on the size of new requests
for loans to expect or renewal of existing loans. The bank could refuse to grant these new loans and
lead to the contraction of profit due to the foregone interest income. Off-balance sheet operations
are a significant source of liquidity risk for banks such as credit lines and other commitments (Rochet,
2008).
Managing Cash Reserves
These comprise of required reserves and excess reserves. Required reserves are the proportion of
deposits Commercial banks are required by law to keep at the Central Bank. When the Central Bank
needs to significantly adjust the amount of money circulating in the economy, it can increase or
decrease the cash reserves. These reserves are held in the CBK at no interest. They are currently set
at 5.25 percent of the total of a bank’s domestic and foreign currency deposit liabilities. To facilitate
commercial banks’ liquidity management, commercial banks are currently required to maintain their
cash reserves based on a daily average level from the 15th of the previous month to the 14th of the
current month and not to fall below 3 percent on any day (CBK, 2017). Excess reserves are any deposit
by a bank with the central bank in excess of the reserve requirement. In a bank’s statement of
financial position, the cash reserves are referred to as cash and balances with the central bank and
they shield the bank against unexpected events such as unusual large withdrawals by depositors or
bank runs. A bank always tries to avoid capital injection from the government because it may place
it at the government’s mercy (Jeanne & Svensson, 2007). Therefore to avoid this, the bank should
hold highly liquid assets as reserves since they can be sold or pledged to meet the funding risks in a
short time improve the maturity transformation (Goodhart, 2008).
Bank Performance
Financial measures are considered the most used parameter of business performance measurement,
especially in the current economic climate. These performance indicators are important to the
shareholders and depositors who are major beneficiaries of a bank. Profitability is the most important
measure of success of a business and it measures the extent to which a business generates a profit
from the factors of production; labor, management and capital. Most growing businesses ultimately
target increased profits. Bank profitability is the bank’s ability to create revenue in excess of cost, in
relation to its capital base. A sound and profitable banking sector contributes significantly to financial
system stability as it is better placed to withstand negative economic shocks Brissimis, Athanasoglou,
& Delis, (2005). Profitability and liquidity are indicators of corporate health and performance of
commercial banks and all profit oriented ventures, (Eljelly, 2004). Profitability analysis focuses on the
relationship between revenues and expenses and on the level of profits relative to the size of
investment in the business (Mesquita & Lara, (2003). It is measured by ratios; ROA, ROE and NIM that
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summarize large quantities of financial data to make qualitative judgement on performance
(Velnampy and Niresh, 2012).
Cash Reserves and Performance of Banks
Arif and Anees (2012), studied Liquidity risk and performance of banking system in Pakistan focusing
on conventional banks. Unstructured interviews were used to gather primary data while secondary
data from annual reports was extracted for 22 banks covering a period of 6 years from 2004 to 2009
and used a correlational research design. The study found that increase in cash reserves increases a
bank’s earnings because adequate cash reserves will also the bank to avoid fire sale risk and decrease
the bank’s reliance on the repo market thus reducing the cost associated with overnight borrowing.
This study recommended that a bank should maintain sufficient cash reserves to mitigate liquidity
risk. Despite the recommendation that banks should maintain sufficient cash reserves, the study did
not consider the opportunity cost of holding these reserves rather than investing them in earning
assets.
Udeh (2015), studied the impact of monetary policy instruments on profitability of commercial banks
in Nigeria: a case of zenith bank Plc experience using a descriptive research design. The study utilized
time series data collected from published financial statements of Zenith Bank Plc as well as Central
Bank of Nigeria Bulletin from 2005 to 2012. Four research questions and four hypotheses were raised
for the study. Pearson Product moment correlation technique was used to analyze the data
collected while t-test statistic was used in testing the hypotheses. The found a very low positive
relationship exists between Profit Before Tax of Zenith Bank plc and the cash reserve rate implying
that cash reserve ratio does not have any significant effect on profitability of Zenith Bank Plc and
recommended that management of banks should look beyond monetary policies to enhance their
profits.
Adebayo, Adeyanju and Olabode (2011) examined liquidity management and profitability of
commercial banks Nigeria. The findings of this study indicate that there is significant relationship
between liquidity and profitability, meaning that profitability of commercial banks is significantly
influenced by liquidity. When banks hold adequate reserves, their profitability would improve.
Adequate liquidity helps the bank minimize liquidity risk and financial crises. The bank can absorb any
possible unforeseen financial position. However, if liquid assets are held excessively, profitability
could diminish because they have no or little interest generating capacity. The opportunity cost of
holding low return assets would eventually outweigh the benefit of any increase in the bank’s liquidity
resiliency as perceived by funding markets (Mashhad, 2013).
Punita & Somaiya (2006) investigated the impact of monetary policy on the profitability of banks in
India between 1995 and 2000. The monetary variables were bank rate, lending rates, cash reserve
ratio and statutory ratio, and each regressed on banks profitability independently. Lending rate was
found to exact positive and significant influence on banks profitability, which indicates a fall in lending
rates will reduce the profitability of the banks. Also bank cash reserve ratio and statutory ratio were
found to have significantly affected profitability of banks negatively.
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Mwangi (2014) studied the effect of liquidity risk management on financial performance of
Commercial Banks in Kenya. The study involved all the 43 Commercial Banks in Kenya analyzed for a
period from 2010-2013. The results of the research showed that liquidity risk management has a
significant negative relationship with financial performance of Commercial Banks and concluded that
holding more liquid assets as compared to total assets would lead to lower returns to Commercial
Banks in Kenya whereas holding more liquid assets as compared to total deposits would lead to lower
returns to Commercial Banks in Kenya because the idle liquid assets are not generating income to
offset the interest to be paid on the customers deposits.
Tom (2015), studied the effect of liquidity on profitability of commercial banks in Kenya using a
descriptive research design approach over a period of 5 years from 2010 to 2014. Secondary data
was used and focus was on current ratio, liquidity ratio, deposits and interest rate on profitability and
found out that liquidity has a positive effect on profitability of commercial banks. The study
concluded that if Liquidity problems are not addressed at the earliest opportunity, depositors
demands may prove difficult to meet, bank’s profitability and capital would be impaired and in
extreme circumstances, it may cause the collapse a bank and recommended that liquidity risk may
be mitigated by maintaining sufficient cash reserves. Adequate cash reserves will decrease the bank’s
reliance on the repo market which consequently will reduce the cost associated with overnight
borrowing and insurance cost. The study did not consider the effect of foregone opportunity to invest
in the market despite the need to maintain sufficient reserves. Sufficient reserves were not
operationalized in the study thus being ambiguous, thus this study will shed light as to the level of
cash reserves to hold considering the need to diversify the revenue to the banks and take advantage
of current investment opportunities.
Research Gap
The review of literature show mixed results and conclusions on the effect of liquidity risk
management on the performance of a bank. For instance, Otieno et al (2016), found a significant
positive relationship between liquidity risk management and financial performance of microfinance
banks in Kenya. Macharia (2013) found a positive relationship between liquidity and profitability of
banks in Kenya, Lartey et al., (2013) established that there was a very weak positive relationship
between the liquidity and the profitability of the listed banks in Ghana while Abera (2012) concluded
that the impact of 24 Ethiopian banks’ liquidity on their performance remains uncertain and further
research is required. Most of the studies relied only on secondary data and thus had the limitation of
being obsolete since in our rapidly changing environment, information becomes quickly outdated.
RESEARCH METHODOLOGY
This study adopted a descriptive survey research design with a comparative analysis approach for it
portrays an accurate profile of situations and all the subjects that form the population are included
in the sample (Cooper, 1999). The target population for this study comprised of two commercial
banks operating in Kenya. To obtain a full view of liquidity risk management and performance of
commercial banks in Kenya through a comparative approach, a census of the selected commercial
banks was done and for each bank, data was collected for 10 years from 2007 to 2016. Operations
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Directors, Chief Finance Officers, Credit Directors and Treasury Directors of the commercial banks
were also interviewed. The data was obtained from published financial statements (audited
statements of financial position and income statements) and annual reports obtained from the banks
websites and publications from the head offices of the banks. Qualitative data was gathered through
an interview schedule. The data analysis for this study was carried out using both descriptive and
inferential statistics. SPSS Version 21 software was used to generate descriptive and inferential
statistics. Data analysis was guided by correlational matrix.
RESULTS AND DISCUSSION
Performance of commercial banks
The study sought to establish the performance of commercial banks using three constructs namely
ROA, ROE and NIM. The results are presented as in tables below
ROA (%)
Statistics
Equity
NBK
Mean
4.828
1.619
Median
4.83
1.715
Std. Deviation
0.64475
1.4139
Variance
0.41571
1.9991
Minimum
3.56
-0.94
Maximum
5.64
3.37
Source: Research data (2017)
ROE (%)
Statistics
Equity
NBK
Mean
25.3
10.95
Median
26.615
11.995
Std. Deviation
6.46
10.44
Variance
41.68
109
Minimum
12.67
-10.84
Maximum
33.39
22.54
Source: Research data (2017)
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NIM (%)
Statistics
Equity
NBK
NIM%
Mean
11.82
8.221
Median
11.83
8.39
Std. Deviation
2.181
1.138
Variance
4.755
1.294
Minimum
6.53
6.44
Maximum
14.87
10.63
Source: Research data (2017)
Equity bank had a positive financial performance through 2007 2016. The mean of ROA, ROE and
NIM was 4.83%, 25.30% and 11.82 % respectively. Their median was 4.83%, 26.62% and 11.83%
respectively with a minimum of 3.56%, 12.67% and 6.53% and a maximum of 5.64%, 33.39% and
14.87%. as indicated by tables 4.1, 4.2 and table 4.3. This suggests that the utilization of assets to
generate returns for the bank is low compared to the returns generated by shareholders equity and
the positive NIM indicates that there is adequate usage of liabilities to generate wealth in the form
of interest income to the bank. There is low variation as indicated by standard deviation of 0.64%,
6.46% and 2.18% for ROA, ROE and NIM.
The performance of NBK was negative for one year and then improved thereafter. The mean of ROA,
ROE and NIM was 1.62%, 10.95% and 8.22 %. This implies that the ability of NBK to generate wealth
in relation to its asset base is low as compared to the returns generated using shareholders’ funds.
The positive NIM indicates that the bank is generating more interest income hence it is paying less
interest expense to depositors. The median was 1.72%, 11.995% and 8.39% for ROA, ROE and NIM
respectively with a minimum of -0.94%, -10.84% and 6.44% while the maximum was 3.37%, 22.54%
and 10.63% respectively as indicated by tables above.
Cash Reserves and Bank Liquidity
The study sought to determine the descriptive statistics for cash reserves as a variable for liquidity
risk management. The results obtained are as in table below
Cash Reserves and Bank Liquidity
Statistics
Equity
NBK
Cash
Reserves
(billions
Mean
12.672
8.173
Median
11.165
6.725
Std. Deviation
7.70331
4.83588
Variance
59.341
23.3857
Minimum
5.15
3.37
Maximum
30.71
16.97
Source: Research data (2017)
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The mean of cash reserves for Equity bank was 12.672 billion, with a minimum and maximum of 5.15
billion and 30.71 billion. There is a high variation in cash reserves maintained by the bank as reflected
by a standard deviation of 7.70 billion which is 60.77% (coefficient of variation) of the mean as
indicated in table 4.4. The cash reserves held are in excess of the required reserves. These excess
reserves are necessary to shield the bank against liquidity problems by providing a liquidity buffer
and hence funds to depositors when needed so as to improve its reputation and win their trust. On
the other hand, NBK has a mean of cash reserves of 8.173 billion and a minimum cash reserve level
of 3.37 billion and a maximum of 16.97 billion. The variation of cash reserves is high as shown by the
standard deviation of 4.84 billion as shown in table 4.4 which translates to 59.22% which is slightly
lower than the percentage variation in Equity bank. Generally, it is observed that Equity bank
maintained higher levels of cash reserves as compared to NBK.
Correlation Matrix
Equity Bank.
Correlation Matrix of Dependent and Independent variables
ROA
ROE
NIM
Cash
Reserves
(billions)
ROA
1.000
ROE
0.361
1.000
NIM
0.797
**
0.527
1.000
Cash
Reserves
(billions)
-0.03
0.672
*
0.267
1.000
Source: Research Data (2017)
Table 4.27 presents correlations between dependent and independent variables. It is seen that Cash
reserves have a negative and insignificant relationship with ROA as shown by the correlation
coefficient of -0.03 which implies that banks which maintain high cash reserves as a liquidity risk
management variable risk a deterioration in return to the assets since the cash reserves do not
generate any return to the bank and thus holding more of them deprives the bank an opportunity to
invest the money elsewhere resulting to lower returns to Commercial Banks in Kenya because the
idle liquid assets are not generating income to offset the interest to be paid on the customers deposits
(Mwangi, 2014). The correlation coefficient is insignificant because normally the cash reserves held
form a small proportion to the total assets of a bank. There is a fairly strong and significant positive
correlation with ROE of 0.672. This suggests that concerns that maintain high levels of cash reserves
as a liquidity risk management practice result in a significant improvement in return to shareholders
wealth and equity. There is however a weak positive and not significant coefficient between cash
reserves and NIM (r = 0.267). This implies that as cash reserves increase, the NIM increases but at a
slower rate because an increase in these reserves deny the banks the opportunity to invest this
money on one hand but on the other hand, the reserves shield the bank during times of huge cash
withdrawals as they can go for them instead of selling the earning assets at a fire sale price to avail
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the cash to depositors money during withdrawals and therefore, holding adequate cash reserves
could assist to even out profits during bad economic times and this could maintain confidence of
shareholders and in some instances the reserves could be run down for use in redemption of shares
to avoid dilution in ownership, hence the positive significant correlation with ROE of the bank.
National Bank of Kenya
Correlation Matrix of Dependent and Independent variables
ROA
ROE
NIM
Cash
Reserv
es
ROA
1.000
ROE
0.975
**
1.000
NIM
0.740
*
0.677
*
1.000
Cash
Reserves
(billions)
-0.767
**
-0.756
*
-0.777
**
1.000
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Source: Research data (2017)
Table 4.28 presents correlations between dependent and independent variables.It is seen that Cash
reserves have a negative, strong and significant correlation coefficient with ROA, ROE and NIM as
indicated by correlation coefficients of -0.767, -0.756, and 0.777 respectively. This concurs with
Punita & Somaiya (2006), who found that cash reserves significantly affected profitability of banks
negatively.This because cash reserves do not generate any return to the bank and thus holding more
of them deprives the bank an opportunity to invest the money elsewhere resulting to lower returns
to Commercial Banks in Kenya because the idle liquid assets are not generating income to offset the
interest to be paid on the customers deposits (Mwangi, 2014).
This result differ with equity bank which had a weak negative and insignificant correlation coefficient
of -0.03 between cash reserves and ROA, a fairly strong positive and significant correlation of 0.672
between cash reserves and ROE and a weak positive and insignificant correlation coefficient of 0.267
between cash reserves and NIM.
From the interview, respondents described their views on cash reserves, The Director Operations
gave an opinion as regards cash reserves and said that “the cash reserve have been fluctuating with
both increases and decreases and this depends on the level of cash available and cash needs of the
bank but generally, the trend in cash reserves for the past 10 years has been high”. This is an indication
that the bank had adequate cash levels.
The respondent pointed out that holding more reserves improved liquidity risk management since
the excess reserves held shielded the bank from unforeseen shocks like massive cash withdrawals or
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in times of immense funding pressure as they can withdraw the excess reserves and meet their
commitments and thus avoid overnight borrowing which is highly expensive”. Therefore, the cash
reserves improved bank performance as they acted as a buffer and came handy when the bank
needed funding in a short time.
Summary of Findings
Pearson correlation matrix was obtained to determine the association between cash reserves and
performance; ROA, ROE and NIM. For Equity bank, Cash reserves were found to have a negative and
insignificant relationship with ROA r = -0.03, for ROE a fairly strong and significant positive correlation
with ROE at r = 0.672 and a weak positive correlation with NIM as shown by correlation coefficient of
0.267. For NBK, the cash reserves had a negative, strong and significant correlation coefficient with
ROA, ROE and NIM as indicated by correlation coefficients of -0.767 (p<0.01), -0.756 (p<0.05), and
0.777(p=<0.01) respectively. Therefore, the study concluded that an increase in cash reserves is
detrimental to profitability as these huge reserves are non-income generating assets.
The study recommended that banks should minimize cash reserves and instead invest this money in
income generating investments that boosts financial performance. Instead of banks holding their
reserves in form of cash, they should hold them in form of near money assets which have a ready
market but have also stability in pricing and also adopt an appropriate cash management model that
minimizes the possibility of running out of cash. This can be achieved by proper forecasting of cash
needs based on past patterns on minimum and maximum cash levels by the bank.
REFERENCES
Abera, A. (2012). Factors affecting profitability: An empirical study on Ethiopian banking industry,
Unpublished Masters’ Thesis, Addis Ababa University, Ethiopia.
Adebayo, M., Adeyanju, D., & Olabode, S. (2011). Liquidity Management and Commercial Banks’
Profitability in Nigeria. Research Journal of Finance and Accounting, 2(7/8).
Adebola, S., Yusoff, S. & Dahalan, D. (2011). An Ardl Approach to the Determinants of Non-
performing Loans. Kuwait Chapter of Arabian Journal of Business and Management Review,
Vol. 1, No.2.
Akhtar, S. (2007). Pakistan: changing risk management paradigm perspective of the regulator. ACCA
Conference CFOs: The Opportunities and Challenges Ahead, Karachi.
Agung, J., Kusmiarso, B. Pramono, .G., Hutapea, A. Prasmuko, & Prastowo J. (2001), Credit Crunch
in Indonesia in the Aftermath of the Crisis: Facts, Causes and Policy Implications, Directorate
of Economic Research and Monetary Policy, Bank Indonesia.
Aladwan, M. S. (2015). The Impact of Bank Size on Profitability; An Empirical Study
On Listed Jordanian Commercial Banks. European Scientific Journal December
2015 edition vol.11, No.34 ISSN: 1857 7881 (Print) e - ISSN 1857- 7431
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
696
Almeida, Heitor, & Murillo C. (2002) Financial constraints and investment cash f low sensitivities:
New research directions, Working paper, New York University and University of Illinois.
Alper D. & Anbar . (2011). Bank Specific and Macroeconomic Determinants of Commercial Bank
Profitability: Empirical Evidence from Turkey, Business and Economics Research Journal, 2
(2), p. 139 152.
Al-Tamimi, A. (2008). Implementing Basel II: An Investigation of the UAE Banks'
Basel II Preparations, Journal of Financial Regulation and Compliance 16(2),
173-187.
Angbazo, L. (1997). Commercial Bank Net Interest Margins, Default Risk, Interest-Rate Risk, and Off-
Balance Sheet Banking. Journal of Banking and Finance, 21, 55-87.
Arif A. & Anees A. (2012). Liquidity Risk and Performance in the Banking System.
Journal of Financial Regulation and Compliance, 20(2), 182-195.
Athanasoglou, P., Brissimis, N. & Delis M. (2008). Bank-Specific, Industry-Specific
and Macroeconomic Determinants of Bank Profitability. Journal of International
Financial Markets, Institutions and Money, 18(2):121-136.
Barth,
J.,
N
o
ll
e,
D.,
P
hu
m
i
w
a
s
a
n
a,
T., & Yago G. ( 2003). A
Cross-Country
A
n
a
l
y
s
i
s
of
the Bank
S
up
e
rv
i
s
o
ry
Framework
and Bank
P
e
r
f
o
r
m
a
n
c
e
.
F
i
n
a
n
c
i
a
l
Markets,
I
n
s
t
i
t
u
t
i
on
s
&
I
n
s
tr
u
m
e
n
t
s
,
12:
67
-
120.
Basel Committee on Banking Supervision (2008), Principles for sound
Liquidity Risk Management and Supervision, Bank of International
Settlements.
Bexley. B. & Nenninger S.(2012), Financial Institutions and the Economy. Journal of
Accounting and Finance, 12(1) 2012.
Bologna, P. (2011), Is there a role for funding in explaining recent US bank failures,
IMF working paper number wp/11/180
Bonfim, D., & Kim, M. (2012). Liquidity risk in banking: is there herding? Available at
papers.ssrn.com/sol3/papers.cfm?abstract_id=2163547[Accessed 03/12/2018]
Boudriga, A, Boulila, N, & Jellouli, S., (2009). Does Bank Supervision Impact Nonperforming
Loans: Cross-Country Determinants Using Aggregate Data. Unpublished Manuscript.
Bourke, P. 1989.
C
on
c
e
n
tr
a
t
i
on
and Other Determinants
of
Bank Profitability
i
n
Europe,
North
A
m
e
r
i
c
a
,
and Australia
.
J
ou
r
n
a
l
of B
a
n
k
i
ng
a
nd
Finance
,
13(1):
65
-
79.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
697
Brissimis, S., Athanasoglou, P., & Delis, M. (2005). Bank-specific, Industry-specific
and Macroeconomic determinants of bank profitability. Working Paper-Bank of
Greece, 25.
Bryman, A. (2012). Social research methods (4th ed.). New York: Oxford University
Press. Nairobi. Central Bank of Kenya.
Central Bank of Kenya,(2011). Bank supervision annual report 2011.
http://www.centralbank.go.ke/downloads/acts_regulations/banking_Act.pdf
Central Bank of Kenya,(2016). Bank supervision annual report 2016.
http://www.centralbank.go.ke/downloads/acts_regulations/banking_Act.pdf
Chaplin, G., Emblow, A. & Michael, I. (2000). Banking system liquidity:
Developments and issues. Financial Stability Review, December, 93-112.
Chege, L. M., & Bichanga, J. (2017). Non-Performing Loans and Financial
Performance of Banks: An Empirical Study of Commercial Banks in Kenya
International Journal of Management and Commerce Innovations, Vol. 4, Issue 2,
pp: (909-91)
Choi, L. (2001). Unit root test for panel data. Journal of international money and
finance 20:249-272
Comptroller of the Currency (2001). Liquidity: Comptroller’s Handbook, Comptroller of the
Currency: Administrator of the National Banks, Washington, DC.
Cooper, D., & Schindler, P. (2008). Business Research Methods. (10th ed). Singapore: McGraw-Hill.
Cooper, D., & Schindler, P. (2011). Business Research Methods. (11th ed.). New York: McGraw-
Hill.
Cronbach, L. (2004). My current thoughts on coefficient alpha and successor procedures. Educational
and Psychological Measurement 64, 391-418.
Crowe, K. (2009). Liquidity risk management more important than ever. Harland Financial Solutions,
p. 3.
Crowther, D. & Lancaster, G. (2008). Research Methods: A Concise Introduction to Research in
Management and Business Consultancy, Butterworth-Heinemann
Cytonn Investments, (2016) Kenya Banking Sector Report 2016.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
698
Deloitte, (2017) Kenya Financial Sector Stability Report 2016.
Devinaga, R. (2010). Theoretical Framework of Profitability as Applied to Commercial Banks in
Malaysia. European Journal of Economics, Finance and Administrative Sciences 23, 149 160.
Diamond, D.W., & Rajan, R.G. (2001). Liquidity risk, liquidity creation, and financial fragility: a theory
of banking. The Journal of Political Economy, 109(2), 287- 327.
Diamond, W., & Rajan, G. (2005). Liquidity shortages and banking crises. The Journal of Finance, 60(2),
615-47.
Drost, E. A. (2012). Validity and Reliability in Social Science Research. Education Research and
Perspectives, 38(1), 105-123.
Ebba, M. K. (2016). The relationship between non-performing loans and financial Performance of
commercial banks in Ethiopia. Unpublished Master’s Thesis. University of Nairobi, Kenya.
Eljelly, A. (2004). The cyclical behavior of optimal bank capital. Journal of Banking
and Finance, 28(3), 1469-1498.
Epure, M. & Lafuente, I. (2012). Monitoring Bank Performance in the Presence of Risk,
Barcelona GSEWorking Paper Series No.61.
Ezra, M. (2013). Determinants of Commercial Bank Profitability in Sub-Saharan
Africa. International Journal of Economics and Finance; Vol. 5, No. 9; 2013 ISSN
1916-971X E-ISSN 1916-9728
Financial Stability Oversight Annual Report (2015), Nairobi: Government Printer
Gatev, E. & Strahan, P. (2003). Banks’ advantage in hedging liquidity risk: theory
and evidence from the commercial paper market. working paper, The Wharton
Financial Institutions Centre, Chestnut Hill, MA.
Goddard, J., Molyneux, P. & Wilson, J. (2004).The Profitability Of European Banks:
A Cross-Sectional And Dynamic Panel Analysis.The Manchester School Vol 72
No. 3 ,14636786 363381
Goodhart, C. (2008). Liquidity risk management. Financial Stability Review, 11(6).
Greenidge,K.& Grosvenor,T.(2010), Forecasting Non-performing Loans in Barbados.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
699
Journal of Business, Finance and Economics in Emerging Economies, 5, 80-107.
Guglielmo, M. (2008). Managing liquidity risk. Bank Accounting & Finance, 8.
Gujarati, D. (2004). Basic Econometrics 4
th
Edition, McGraw Hill
Guy K (2011), Non-performing Loans.The Central Bank of Barbados Economic Review
Volume XXXVII, Number 1
Hadad, F. (2013). Financial performance of Rural Banks in Ghana: A Case Study on
Naara Rural Bank. European Journal of Banking and Finance, Vol.11.
Hassan, A. (2009). "Risk management practices of Islamic banks of Brunei
Darussalam". The Journal of Risk Finance, 23-37.
Holmstrom, B. & Tirole, J. (2000). Liquidity and risk management. Journal of Money
Credit and Banking, 32(3), 295-319.
Horváth, R., Seidler, J., & Weill, L. (2014). Bank Capital and Liquidity Creation:
Granger-Causality Evidence. Journal of Financial Services Research, 45(3),
341361.
Hou, Y & Dickinson, D. (2007). “The Non-Performing Loans: Some Bank-level
Evidences, Research Conference on Safety and Efficiency of the Financial
System.
Ibe, S. (2013). The Impact of Liquidity Management on the Profitability of Banks in
Nigeria. Journal of Finance and Bank Management 1(1); June 2013 pp. 37-48
Iion, T. & Dragos, P. (2006), "Policies of the Commercial Banks Liquidity Management
in the Crisis Context", Bank of Romania Working Paper.
International Monetary Fund, (2017) Country Report No. 17/25, Kenya 2017.
Investopedia, (2017). http://www.investopedia.com/
Iqbal, Z. & Mirakhor, A. (2011), An Introduction to Islamic Finance: Theory and
Practice, 2nd ed., Wiley, Singapore.
Ismal, R. (2010). Strengthening and improving the liquidity management in Islamic
banking, Humanomics 26(1): 1835
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
700
Jeanne, O. & Svensson, L. (2007). Credible commitment to optimal escape from a liquidity
trap: the role of the balance sheet. The American Economic Review, 97 (1), 474-7490.
Jenkinson, N. (2008). Strengthening regimes for controlling liquidity risk. Euro Money Conference
on Liquidity and Funding Risk Management, Bank of England, London, p. 9.
Kashyap, A, Rajan, D. & Stein, J. (2002): “Banks as liquidity providers: an explanation
for the coexistence of lending and deposit-taking”, Journal of Finance, vol 57, no 1,
p 3373.
Kazi, A. M. (2012). Promoting deposit mobilization and financial inclusion.
Khan, M.M. and Bhatti, M.I. (2008). “Development in Islamic banking: a financial
risk allocation approach”, The Journal of Risk Finance, Vol. 9 No. 1, pp. 40-51.
Kenya National Bureau of Statistics (2017). Economic Survey. Nairobi: Government
Printer.
Kenya National Bureau of Statistics (2013). Economic Survey. Nairobi: Government
Printer.
Kiragu. .C. M. (2010).The Relationship between Profitability and Capital Adequacy of
Commercial Banks in Kenya. Unpublished Master’s Thesis. University of Nairobi, Kenya.
Kithinji, A. M. (2010): Credit Risk Management and Profitability of Commercial Banks
in Kenya. Unpublished Masters Dissertation. University of Nairobi, Kenya.
Konadu, J.S. (2009). Liquidity and Profitability: Empirical evidence from banks in
Ghana. Unpublished Masters’ Thesis, Kwame Nkrumah University of Science
and Technology, Ghana
K
o
s
m
i
doU,
K.,
Tanna,
S., &
P
a
s
i
ou
r
a
s,
F. ( 2005).
D
e
t
e
r
m
i
n
a
n
t
s
of
P
r
o
f
i
t
a
b
ili
ty
of
D
o
m
e
s
t
i
c
UK
C
o
mm
e
r
c
i
a
l
Banks
:
P
a
n
e
l
Evidence from the Period
1995-2002.
W
o
rk
i
ng
P
a
p
e
r
.
Kumar, S., & Yadav, S. (2013). Liquidity management and commercial banks’ profitability.
International Research Journal of Finance and Economics, 5(8) 226-241.
Lartey, V., Antwi, S., & Boadi, E. (2013). The relationship between liquidity and
Profitability of listed banks in Ghana. International Journal of Business and
Social Science, 4(3), 4856.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
701
Liu, S. (2013). Determinants of the profitability of the U.S. banking industry during the
Financial crisis. Unpublished Master’s Thesis. Clemson University, United States
Of America.
Li, Y. (2007). Determinants of banks profitability and its implication on risk
Management practices, Unpublished Doctoral dissertation. The University of
Nottingham, United Kingdom.
Lucey, T. (2002). Quantitative Techniques 6
th
Ed. Bookpower.
Lukorito,S.N, Muturi,W., Nyang’au .S. A. & Nyamasage .D. (2014). Assessing the
effects of Liquidity on profitability of commercial banks in Kenya. Journal of
Finance and Accounting Vol.5 143- 152.
Louzis, D.P., Vouldis, A.T., & Metaxas, V.L. (2010), Macroeconomic and bankspecific determinants of
nonperforming loans in Greece: a comparative study of mortgage, business and consumer loan
portfolios. Bank of Greece, Working Paper, 118.
Maaka, Z. A. (2013). Relationship between liquidity risk and financial performance of
commercial banks in Kenya. Unpublished master’s Dissertation University of Nairobi, Kenya.
Mahshid S. (2013).The impact of liquidity asset on Iranian banks profitability, International
conference on management, behavioral sciences and Economics issues. Malaysia: Penang.
Majid, A. (2003). Development of Liquidity Management Instruments: Challenges and
Opportunities: International Conference on Islamic Banking: Risk
Management, Regulation and Supervision.
Mehmed, G. (2014). An empirical study on Liquidity risk and its determinants in
Bosnia and Herzegovina: The Romanian Economic Journal, XVII no. 52.
M
o
l
y
n
e
u
x
P, Thornton
J. (
1992).
D
e
t
e
r
m
i
n
a
n
t
s
of
European
Bank
P
r
o
f
i
t
a
b
ili
ty:
A
N
o
t
e
,
Jo
u
r
n
al
of B
a
n
k
i
ng
and
F
i
n
a
n
c
e
,
V
o
l
.
16,
1173
-
1178.
Mpuga, P. (2002). The 1998-99 Banking crises in Uganda: What was the role of the
new capital requirement? ‟Journal of financial regulation and compliance,
Vol.10.Iss: 3 pp; 224-242.
Mugenda, O.M. & Mugenda, A.G. (2003). Research methods: Quantitative and
qualitative approaches.2nd. Rev. ed. Nairobi: Act press.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
702
Munther,N,Warrad,L,& Omari,R.(2013). The Impact of liquidity on Jordanian banks
Profitability through return on assets. Interdisciplinary Journal of Contemporary
Research in Business.
Murerwa, C. B. (2015). Determinants of banks’ financial performance in developing
Economies: evidence from Kenyan commercial banks. Unpublished MBA
research project, United States International University - Africa
Mwangi, F. (2014). The effect of liquidity risk management on the financial
Performance of Commercial Banks in Kenya. Unpublished MSC in Finance
research project, The University of Nairobi, Kenya.
Mwathi, Z.N (2009). The relationship between commercial banks financial performance
and ownership structure. Unpublished Masters Thesis. University of Nairobi,
Kenya.
Naceur, S.B. and Goaied M. (2001), The determinants of the Tunisian deposit banks;
Performance, Applied Financial Economics Vol. 11 Issue 3, pp 317-319
Nafula, N.N. (2003). Bank Portfolios and Bank Earnings in Kenya: An Econometric
Analysis. Social Sector Division Kenya Institute for Public Policy Research and
Analysis KIPPRA Discussion
Nikolaou, K., (2009). Liquidity risk concepts: definitions and interactions, ECB
Working Paper No. 1008.
Odunga, R. M., & Nyangweso, P. M. (2014). Credit risk, liquidity and operating efficiency for low and
high market shares commercial banks in Kenya. Unpublished master’s Dissertation Moi University,
Kenya.
Okun, D. M. (2012). The Effect Of Level Of Deposits On Financial Performance Of
Commercial Banks In Kenya. Unpublished Masters Dissertation, University of
Nairobi, Kenya.
Orodho, J.A. (2008). Techniques of writing research proposals & reports in education
and social sciences. Nairobi: Kanezja HP Enterprises.
Otieno, S. Nyagol, M. & Onditi, A. (2016). Empirical analysis on relationship between
liquidity risk management and financial performance of microfinance banks In
Kenya: Research journal of finance and accounting vol.7
Ozurumba, B. A. (2016). Impact of Non-Performing Loans on the Performance of
Selected Commercial Banks in Nigeria; Research Journal of Finance and
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
703
Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol.7, No.16, 2016 95.
Pallant, J. (2010). SPSS Survival Manual. A step by step guide to data analysis using
SPSS (4th ed.). Melbourne: Open University Press.
Punita, R. and Somaiyi, K. J. (2006) Monetary Policy; Its impact on profitability of banks
in India, intermediate business and economics research journal; vol 5, no.3
pp 15-19
Ratnovski, L., and Huang, R. (2009) Why are Canadian Banks more resilient; IMF working paper
number WP/09/152
Reinhart, Carmen M., & Kenneth S. R. (2010). “Growth in a Time of Debt”
American Economic Review, 100 (2): 57378.
Rochet,J. C., (2008). Liquidity regulation and the lender of last resort; Journal of
financial stability, 1 (1), 93 110.
Sohiami, A.N.A. (2013), Liquidity Risk and Performance of Banking System in
Malaysia, Mara University of Technology Johor, Malaysia.
Summers, B. J. (1975). Loan Commitments to business in United states banking history.
Economic review, Federal Reserve Bank of Richmond, 61, 15- 23.
http://www.richmondfed.org/publications/research/economic
review/1975/pdf/er610502.pdf.
Tom, M. O. (2015). Effects of Liquidity Risk on Profitability of Commercial Banks in
Kenya, Unpublished Masters’ Thesis, University of Nairobi.
Udeh, S. N. (2015). Impact of monetary policy instruments on profitability of
Commercial banks in Nigeria: Zenith Bank experience. Research Journal of
Finance and Accounting, 6(10): 190-205.
Vaidyula, S.R and Kavala, J. (2013) : Enterprise risk management for Banks
Van Greuning, H. and Iqbal, Z. (2008): Risk Analysis for Islamic Banking.Washington:
the International Bank for Reconstruction and Development
Velampy, J. & Niresh, A. (2012). The Bankrelationship between capital structure and
profitability. Global Journal of Management and Business Research. Vol.
12 Issue 13 Version 1.0.ISSN; 2249-4588.
International Journal of Academic Research in Business and Social Sciences
Vol. 8, No. 9, Sept. 2018,
E-ISSN: 2222-6990
© 2018 HRMARS
704
Waweru, N.M., & Kalani, V.M., (2009). Commercial Banking Crises in Kenya: Causes
and Remedies. Global Journal of Finance and Banking Issues, 3(3), 67.
Were, M. & Tiriongo, S. (2012). Central Bank’s Response to Economic Crises from a
Developing African Economy Perspective: Lessons from Kenya’s Experience.