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International Journal of Economics and Financial Research
ISSN(e): 2411-9407, ISSN(p): 2413-8533
Vol. 6, Issue. 5, pp: 82-86, 2020
URL: https://arpgweb.com/journal/journal/5
DOI: https://doi.org/10.32861/ijefr.65.82.86
Academic Research Publishing
Group
82
Original Research Open Access
Liquidity Analysis of UAE Banks
Mukdad Ibrahim
Associate Professor Business School American University of Ras Al Khaimah, United Arab Emirates
Abstract
The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To
understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the
four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been
impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks
liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets
ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the
banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The
third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio
was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the
crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were
able to yield more control over cash flows in comparison to revenues and costs.
Keywords: Financial analysis; Bank liquidity; Financial stability; Bank performance; Financial crisis; United arab emirates.
JEL Classifications: G1; G21; G28; L25.
CC BY: Creative Commons Attribution License 4.0
1. Introduction
Liquidity is a measure of great importance in the study of banking. Arguably one of the most important
mechanisms through which banks can repay their debts, it is thus an important data point when assessing the
financial health of financial and banking institutions that operate within a given market.
One of the traditional role of banks is to serve as wealth creators, extending capital to those that are deemed fit
to repay their loans when they mature. One of the principle sources of funding that banks use to provide loans is the
large amount of the capital that has been deposited with them by their customers. Naturally, banks are expected to be
able to recover these deposits to their customers in the event that said customers wish to withdraw their deposits.
Without adequate liquidity, the ability of the bank to repay its debts, along with the confidence of its depositors,
erodes. It is thus of crucial importance that banks have adequate liquid assets to be able to meet the cash demands of
its depositors.
Liquidity, more loosely described as a firm’s ability to convert its assets into cash, is inextricably linked to the
long term survival of any organization. For this reason, liquidity enjoys a high degree of validity when assessing the
long term viability of an organization. Its validity in measuring long term stability is just as applicable to the banking
sector. In the case of financial institutions, liquidity refers the banks capacity to meet the both the cash demands and
contractual obligations to its creditors. An inability of banking organizations to respond accordingly to the cash
demands of its depositors can have widespread adverse consequences and in worst cases, lead ultimately to
widespread macroeconomic stagnation.
Liquidity risk can best be described as the current and future risk that the bank will fail to fulfill its contractual
obligations, which can in turn prove detrimental to the bank’s financial stability. Several causative factors may give
arise to a situation where a bank’s capacity to honor its debts is adversely affected. The primary and most trivial of
the factors that can lead to liquidity loss is a sudden and unperceived increase in the value of cash outflows,
primarily arising in the form of a large increase in the value of deposit withdrawals. The financial crisis of 2007-
2008 can partially be blamed on unpaid mortgages, which in turn caused a freeze in the lending markets, ultimately
giving rise to what was popularly termed the “credit crunch”.
The banking crisis of 2007-2008 was characterized by an extended period of economic instability. A large
number of banks became insolvent as bank runs became more widespread. Banking crises can have serious
macroeconomic consequences if not dealt with in an expedient and effective manner. In a worst-case scenario, a
bank run may trigger an economic recession that may require years to resolve. This may occur when a bank run,
defined as the widespread withdrawal of savings from banks and other financial institutions by depositors in order to
protect their savings, leads to a diminished confidence in the banking sector and the economy as a whole. Panic can
spread at an accelerated pace, quickly rendering banks insolvent and spreading financial contagion to and decimating
additional industries that are strongly reliant on the financial sectors reserves for funding. To gain a deeper
understanding of the mechanism by which banking crises play an influential role on the health of banks, an analysis
of liquidity of banks need to be conducted with the purpose of evaluating the validity of the relationship between
proven performance ratios and bank stability.
International Journal of Economics and Financial Research
83
2. Literature Review
Hasan and Dridi (2010), sought to examine the overall performance of both Islamic banks and conventional
banks under the adverse conditions of the global financial crisis. To test the effects of the crisis on bank
performance, the authors used various regression analysis techniques to accurately measure the impact of
challenging economic indicators and how they affect the metrics typically associated with bank performance such as
profitability, credit, asset growth and external ratings. The results of their analysis indicate that Islamic banks have
been affected differently in comparison to conventional banks.
Ivashina and David (2010), studied the effect of the banking panic on the supply of credit to the corporate sector
in USA. Their analysis first uncovered inverse relationship between the amount of deposit financing available to
banks and the amount of syndicated lending that they take part in namely that banks with more deposit financing cut
their syndicated lending by less than did banks without as much access to this, more stable, source of funding. Their
additional focus was on the effect of credit-line draw-down on new syndicated lending. Regression analyses were
employed on the data obtained from Reuters’ Dealscan database. The findings declared the new lending declined
substantially during the financial crisis 2008 across all types of loans.
Munteanu (2012) analyzed data of 27 banks in Romania over the period 2002-2010 districting between the pre-
crisis ears (2002-2007) and the crisis years (2008-2010) to study the effect of several internal and external factors on
the net loan/total assets indicator and again on the liquid assets/deposits and short term funding indicator. The results
of his two regression models indicate that the crisis brought substantial changes to the structure of bank
determinants.
Akhtar et al. (2011), sourced and compiled data from 12 conventional and Islamic banks in Pakistan in order to
assess their risk management performance. A multitude of analysis techniques were performed during 2006-2009,
namely descriptive, correlation and regression analysis. These techniques were tasked with assessing the relationship
between a banks degree of liquidity risk and its predictive effect on other bank performance indicators. The authors
found a positive but insignificant relationship between liquidity risk and bank size as well as association between
liquidity risk and the net working capital to net asset ratio. The authors also observed a strong and predictive
relationship between liquidity risk and capital adequacy ratio for conventional banks. With respect to Islamic Banks,
the impact of liquidity risk was most notably seen when measuring a banks return on assets responded to varying
degrees of liquidity risk, where a statistically significant relationship was observed.
Berger and Bouwman (2013) examines the effect of capital on banks’ performance and how this effect varies
across the banking crises, market crises as well as under normal circumstances that have largely represented the
economic climate in the US over the past quarter century. Regression analysis was conducted to test their hypothesis.
The research findings reinforced the importance of capital in insulating a bank from financial turmoil in the event of
a widespread economic downturn. Firstly, the authors found that a higher amount capital can significantly improve a
small bank’s odds of surviving at all times, irrespective of the wider macroeconomic atmosphere. Secondly, the
authors found that a higher amount of capital helps medium and large banks improve their financial resilience in
times of financial crises.
Hong et al. (2014), calculated both coverage and net stable funding ratios by implementing the requirements of
Basel III on US commercial banks using Call Report data for the period of 2001-2011. The call report data include
income statements and balance sheets which were obtained from the Federal Reserve Bank of Chicago. The authors
also examined the potential links between Basel III liquidity risk measures and the prevelance of bank failures.
Basing their analysis on both descriptive and regression analyses, they found that both measures have limited effects
on bank failures.
Mobarek and Alovaddin (2014), investigated the performance of Islamic and conventional banks. They used
cross-sectional data consisting of 1857 observations obtained from 307 conventional banks and 101 Islamic banks.
The data includes information related to the pre-crisis period (2004 to 2006) as well as the crisis period (2007 to
2009) covering 18 Organization of Islamic Cooperation (OIC) Countries. The authors employed two frontier
approaches in addition to stochastic frontier analysis to estimate the efficiency levels of banks. Moreover, the Z-
Score approach is employed to assess the soundness of banks. The result of their analysis points to a higher degree of
efficiency in the manner that conventional banks managed their resources. This is in contrast to the performance of
Islamic counterparts, which suffered from relatively poorer management of the financial resources that are available
to them.
Tlemsani and Huda (2016), analyzed the performance of Islamic and conventional banking systems in the UAE
during the financial crisis. The research was undertaken in two stages. Beginning with comparative analysis of the
performance of two banks, one Islamic and one conventional, during the year 2007 and 2008 and concluding with a
comprehensive, cross-sectional analysis between eight Islamic and forty three conventional banks during the period
2007 and 2008, the findings of the research showed that on the macro level, both banking sectors were impacted
negatively by the crisis. The notable difference between the banks lie in two key areas, levels of liquidity and their
overall exposure to under-performing loans, respectively. The analysis highlighted the key advantage that Islamic
banks have in the context of these measures, specifically that Islamic banks were able to preserve a higher
percentage of liquidity than conventional banks, all while maintaining a lower exposure to underperforming loans.
The latter distinct feature of Islamic Banks, namely the lower levels of exposure to bad debt, has obvious positive
implications as it means the Islamic banks debtors are more likely to meet their current and future financial
obligations to the given bank, thereby potentially improving and directly contributing to the higher levels of liquidity
that Islamic banks also enjoyed.
International Journal of Economics and Financial Research
84
Hassense and Ben (2016), conducted a comparative study on the level of efficiency among Islamic and
conventional banks in Malaysia using various econometric methods composed of three proven ratios in order to
assess bank profitability and efficiency. These ratios commonly known a return on assets, return on equity, and cost
to income are the widely accepted gold standard in the assessment of bank performance respectively. Financial and
econometric analysis found that Islamic banks are significantly more efficient than conventional banks in the way
their resources are managed.
Haddad et al. (2020), made a comparative study assessing the liquidity levels of Islamic and conventional banks
using data from 63 large banks spanning sixteen countries for the period 2010-2018. The authors used both Mann-
Whitney test and descriptive statistics. The results of their analysis confirmed that Islamic banks are more liquid than
their conventional counterparts.
3. Research Methodology
The overall objectives of this research is to study the behavior of liquidity indicators during for the years 2005-
2009 on five leading conventional leading private sector commercial banks using proven financial ratios that will
notify the author of any changes of a bank’s performance over the period 2005-2009. The data used for this research
was obtained from the Abu Dhabi financial service company.
In order to accurately measure liquidity performance and make an effective comprehensive comparison of the
performance of five banks during the years 2005-2009, this research uses four common indicators of liquidity
performance, loan to total assets, loans to customers’ deposits, equity to total assets, and investment to total assets
indicators. For each indicator, a calculation of financial ratios will be conducted in order to measure bank
performance. These indicators will then be ranked for the purposes of comparison. The coefficient of variation will
then be used to measure the stability-variability of these ratios over the years 2005-2009.
4. Research Results
4.1. Loans to Total Assets
This ratio evaluates a banks respective level of liquidity by dividing the total amount of loans by the total
amount of assets that a bank possesses. A higher ratio indicates that a bank is offering more loans to the customers
and consequently has a lower level of liquidity. In this case, a bank’s behavior will be associated with higher level of
risk by increasing the level of defaults. The findings showed that RAK bank experienced a high level of loan
offerings over the five years with the mean of this ratio standing at 76.41% while the ratio for Mashreq bank is
47.97%. The effect of financial crisis on ratio performance for National union bank was most noticeable in 2009
when this ratio declined from 77.32% in 2008 to 67.04% in 2009. For RAK bank the drop occurred earlier,
specifically in 2007 when this ratio experienced a drop from 77.06% in 2006 to 74.47% in 2007, while Mashreq
bank first started witnessing a significant decline in 2009 when this ratio declined from 51.94% in 2008 to 44.51% in
2009. Both Commercial Bank International and Commercial Bank of Dubai witnesses a decline in this ratio in 2009
as a response to the financial crisis. RAK bank has a high degree of stability with respect to this ratio as highlighted
by the 3.10% coefficient of variation, in comparison with Commercial bank International who has the highest level
of instability with coefficient of variation of 13.45%.
Table-1. Loans to Total Assets ratio
Year National
Union
RAK
Bank
Mashreq
Bank
Commercial Bank
International
Commercial
Bank of Dubai
2005 59.27 73.41 47.85 56.69 61.13
2006 66.19 77.06 51.81 65.02 67.59
2007 67.40 74.47 43.75 71.55 68.26
2008 77.32 78.66 51.94 82.01 79.93
2009 67.04 78.46 44.51 71.41 77.15
Mean 67.44% 76.41% 47.97% 69.34% 70.81%
Standard deviation 6.44 2.37 3.88 9.44 7.65
Coefficient of Variation 9.55% 3.10% 8.08% 13.45% 10.80%
4.2. Loans to Customers Deposits
This ratio shows the ability of a bank in employing the deposits received from customers in order to offer loans.
A high ratio score translates to a higher utilization of deposits to offer loans to customers. Consequently, it also
typically results in a lower level of bank liquidity. In this analysis, the findings showed that RAK bank is enjoying
higher level of this ratio with a mean of 111.41%, which means that this bank is using customers’ deposits in
addition to other sources of money to offer loans. The National Union bank scored 93.14% of the customers’
deposits to offer loans. Mashreq bank’ scored lower ratio of 83.33%. The effect of the financial crisis on this ratio’s
performance for all banks was most pronounced in 2009, at the eve of the financial crisis, when the ratio declined
from 101.93% in 2008 to 99% in 2009 for National Union Bank.. RAK bank was also mainly affected over the same
period when the ratio declined from 113.43% in 2008 to 104.51% in 2009. Similarly, the decline in the ratio for
Mashreq bank began during the same period, from 94.09% in 2008 to 78.50% in 2009. Similarly, the ratio for
Commercial Bank International declined from 117.27% in 2008 to 91.25% in 2009.Finally, the decline for
Commercial Bank of Dubai was from 110.61% in 2008 to 101.61% in 2009. Amongst the banks studied, RAK bank
International Journal of Economics and Financial Research
85
proved to possess the highest degree of stability in the utilization of deposits for the provision of loans, with a
coefficient of variation of 4.06% while commercial bank international possessed highest level of instability of this
ratio with coefficient of variation of 16.91%.
Table-2. Loans to Customers Deposits Ratio
Year National
Union
RAK
Bank
Mashreq
Bank
Commercial Bank
International
Commercial
Bank of Dubai
2005 80.29 109.76 74.22 72.96 87.84
2006 91.51 116.47 86.71 91.00 91.91
2007 92.97 112.89 83.11 95.81 98.11
2008 101.93 113.43 94.09 117.27 110.71
2009 99.00 104.51 78.50 91.25 101.61
Mean 93.14 111.41 83.33 93.66 98.84
Standard deviation 8.36 4.53 7.64 15.84 8.87
Coefficient of Variation 8.98% 4.06% 9.17% 16.91% 8.97%
4.3. Shareholders’ Equity to Total Assets
Equity ratio shows the percentage of shareholders’ fund that finance total assets. The higher ratio indicates
higher level of liquidity. Table 3 below shows that commercial bank of Dubai got high liquidity to finance its assets
with a percentage of 16.43% while the lowest rate is Mashreq bank with a ratio of 13.05%. I n 2009, the banks
under study have increase this ratio comparing to the year 2008. Both RAK and Commercial Bank International have
highest level of stability with coefficient of variation of 6.80% for each while Union National bank has the highest
level of instability with coefficient of variation 18.16%.
Table-3. Shareholders’ Equity to Total Assets ratio
Years National
Union
RAK
Bank
Mashreq
Bank
Commercial Bank
International
Commercial
Bank of Dubai
2005 17.52 13.80 14.98 12.89 18.46
2006 14.00 14.10 14.27 15.11 20.37
2007 11.96 14.37 12.09 14.17 15.64
2008 11.46 14.93 11.80 14.43 13.15
2009 12.52 16.34 14.09 15.40 14.54
Mean 13.49 14.71 13.05 14.40 16.43
Standard deviation 2.45 1.00 1.47 0.98 2.94
Coefficient of Variation 18.16% 6.80% 11.26% 6.80% 17.89%
4.4. Investment to Total Assets
This ratio shows the efficiency of a bank in investing some of its money to generate extra revenues. Mashreq
bank has higher ratio of investing which formed 20.89% of the years of study while the commercial bank
international got the lowest ratio which was 4.35%. The ratio has been declining in 2009 for all banks as a result of
the crisis except for national union bank which increased from 5.40% in 2008 to 6.03% in 2009. The Union National
bank obtained higher level of stability as it is possess lower coefficient of variation 10.77%, while commercial bank
international has higher level of instability as its coefficient of variation is 44.14%.
Table-4. Investment to Total Assets Ratio
Years National
Union
RAK
Bank
Mashreq
Bank
Commercial Bank
International
Commercial
Bank of Dubai
2005 6.15 4.37 24.30 6.73 7.45
2006 5.63 5.64 23.43 6.15 5.64
2007 4.63 5.70 17.43 3.12 7.52
2008 5.40 4.63 21.15 2.95 6.25
2009 6.03 2.32 18.16 2.79 5.15
Mean 5.57 4.53 20.89 4.35 6.40
Standard deviation 0.60 1.37 3.06 1.92 1.06
Coefficient of Variation 10.77% 30.24% 14.65% 44.14% 16.56%
5. Conclusion
The central objective of this paper has been to conduct a comparative study of the liquidity performance of five
banks in United Arab Emirates for the period of 2005-2009 including assessing the effect of financial crisis 2007-
2008 on the liquidity indicators of these banks. Four groups of parameters have been used to measure bank liquidity
performance. The findings show that the five banks were significantly impacted by the financial crisis. However the
five banks remained financially viable as they employed the appropriate financial tools and policies to manage their
liquidity and to skillfully adapt to their dynamic environment, resulting in modest liquidity over the period. Four
International Journal of Economics and Financial Research
86
liquidity ratios were analyzed, loans to total assets, loans to customers deposits, equity ratio, and investment to total
assets ratio. The negative effect of the crisis on the banks’ liquidity was highlighted by the decline in ratio
performance in 2009 in comparison to 2008. On the other hand, these banks increased the level of equity to reduce
the potential risk and increase liquidity. Different banks possesses different levels of stability as using different
methods of exerting more control over factors that influenced liquidity.
The inability of the banking sector to properly manage its exposure to liquidity risk culminated in the 2008
financial crisis. The aftermath of the crisis saw increased calls for more scrutiny of the banking sector, leading to the
formation of the Basel III Committee on Banking Supervision in 2010. The primary goal of the Basel Ill committee
was to address this perceived widespread financial negligence by setting forth, reinforcing and promoting adherence
to a worldwide standard for the measurement and management of liquidity. Some of the Basel III demands included
a raise in the minimum capital requirement from 8 percent capital adequacy to 10.5 percent of risk-weighted assets
as well as the introduction of two novel measurements of liquidity, namely the liquidity coverage ratio and the net
stable funding radio respectively (Basel Committee on Banking Supervision- BCBS, 2010). The intended use case of
the liquidity coverage ratio is to assess a bank’s ability to honor the financial obligations that are due in the following
30 days. While the liquidity coverage ratio seeks to make valid predictions about a bank’s short time obligations and
its ability to meet them, the net stable funding ratio, on the other hand, excels at its purpose of providing a valid
forecast of a bank’s ability to meet its longer term financial obligations.
Bankers, academics and policy makers alike could derive great benefit in consulting the great cautionary lessons
that the 2008 financial crisis serves to provide. This study attempts to provide clarity to those necessary lessons by
encouraging banks and policy-makers to examine the influence of liquidity fluctuations on financial institutions and
their business operations. Future research should pursue the effect of liquidity on both credit risk and insolvency
risk.
References
Akhtar, M. F., Khizer, A. and Shama, S. (2011). Liquidity risk management: A comparative study between
conventional and islamic banks of Pakistan. Interdisciplinary Journal of Research in Business, 1(1): 35-44.
Basel Committee on Banking Supervision- BCBS (2010). Basel iii: International framework for liquidity risk
measurement, standards and monitoring. Bank for International Settlements: Switzerland.
Berger, A. N. and Bouwman, C. H. (2013). How does capital affect bank performance during financial crises?
Journal of Financial Economics, 109: 146-76. Available: https://doi.org/10.1016/j.jfineco.2013.02.008
Haddad, A., EL Ammari, A. and Abdelfattah, B. (2020). Comparative and demonstrative between the liquidity of
islamic and conventional in a financial stability period: Which type of banks is the most liquid?
International Journal of Financial Research, 11(1): 252-72. Available:
https://doi.org/10.5430/ijfr.v11n1p252
Hasan, M. and Dridi, J. (2010). The effects of the global crisis on islamic and conventional banks, international
monetary fund, working paper wp/10/201.
Hassense, B. M. and Ben, M. K. (2016). The performance of islamic and conventional banks in Malaysia
considering crisis period. Journal of Business Studies Quarterly, 8(1): 35-45. Available:
https://doi.org/10.5296/ajfa.v3i1.918
Hong, H., Huang, J.-Z. and Deming, W. (2014). The information content of basel iii liquidity risk measures. Journal
of Financial Stability, 15: 91-111. Available: https://doi.org/10.1016/j.jfs.2014.09.003
Ivashina, V. and David, S. (2010). Bank Lending during the Financial Crisis of 2008. Journal of Financial
Economics, 97: 319-38. Available: https://dx.doi.org/10.2139/ssrn.1297337
Mobarek, A. and Alovaddin, K. (2014). Comparative Performance Analysis between Conventional and Islamic
Banks: Empirical Evidence from OIC Countries. Applied Economics, 45(3): 253-70. Available:
https://doi.org/10.1080/00036846.2013.839863
Munteanu, L. (2012). Bank liquidity and its determinants in romania, sciverse science direct. Procedia Economics
and Finance, 3: 993-98. Available: https://cyberleninka.org/article/n/450114
Tlemsani, I. and Huda, A. l. S. (2016). Comparative analysis of islamic and conventional banks in the UAE during
the financial crisis. Asian Economic and Financial Review, 6(6): 298-309.

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Liquidity Analysis of UAE Banks

  • 1. International Journal of Economics and Financial Research ISSN(e): 2411-9407, ISSN(p): 2413-8533 Vol. 6, Issue. 5, pp: 82-86, 2020 URL: https://arpgweb.com/journal/journal/5 DOI: https://doi.org/10.32861/ijefr.65.82.86 Academic Research Publishing Group 82 Original Research Open Access Liquidity Analysis of UAE Banks Mukdad Ibrahim Associate Professor Business School American University of Ras Al Khaimah, United Arab Emirates Abstract The aim of this paper is to analyze the liquidity levels of various banks in the UAE for the period 2005-2009. To understand the behavior of liquidity indicators especially during the financial crisis, the researcher will analyze the four liquidity indicators over the years 2005 to 2009. The findings highlight how the banks in question have been impacted by the 2007-2008 crisis. This can most obviously be seen in the notable decline of each of the banks liquidity level in 2009. The effect of loans to total assets, loans to customers’ deposit, and investment to total assets ratios for the five banks was most notable in 2009. Two liquidity ratios were analyzed in order to determine the banks’ ability to honor its debt obligations, these being loans to total assets and loans to customers respectively. The third ratio was the total equity to total assets to assess the liquidity level in the capital structure, while the fourth ratio was the investment to total assets to measure the managing of liquidity. While Bank liquidity was affected by the crisis, bank performance remained relatively stable, as measured by coefficient of variation, since these banks were able to yield more control over cash flows in comparison to revenues and costs. Keywords: Financial analysis; Bank liquidity; Financial stability; Bank performance; Financial crisis; United arab emirates. JEL Classifications: G1; G21; G28; L25. CC BY: Creative Commons Attribution License 4.0 1. Introduction Liquidity is a measure of great importance in the study of banking. Arguably one of the most important mechanisms through which banks can repay their debts, it is thus an important data point when assessing the financial health of financial and banking institutions that operate within a given market. One of the traditional role of banks is to serve as wealth creators, extending capital to those that are deemed fit to repay their loans when they mature. One of the principle sources of funding that banks use to provide loans is the large amount of the capital that has been deposited with them by their customers. Naturally, banks are expected to be able to recover these deposits to their customers in the event that said customers wish to withdraw their deposits. Without adequate liquidity, the ability of the bank to repay its debts, along with the confidence of its depositors, erodes. It is thus of crucial importance that banks have adequate liquid assets to be able to meet the cash demands of its depositors. Liquidity, more loosely described as a firm’s ability to convert its assets into cash, is inextricably linked to the long term survival of any organization. For this reason, liquidity enjoys a high degree of validity when assessing the long term viability of an organization. Its validity in measuring long term stability is just as applicable to the banking sector. In the case of financial institutions, liquidity refers the banks capacity to meet the both the cash demands and contractual obligations to its creditors. An inability of banking organizations to respond accordingly to the cash demands of its depositors can have widespread adverse consequences and in worst cases, lead ultimately to widespread macroeconomic stagnation. Liquidity risk can best be described as the current and future risk that the bank will fail to fulfill its contractual obligations, which can in turn prove detrimental to the bank’s financial stability. Several causative factors may give arise to a situation where a bank’s capacity to honor its debts is adversely affected. The primary and most trivial of the factors that can lead to liquidity loss is a sudden and unperceived increase in the value of cash outflows, primarily arising in the form of a large increase in the value of deposit withdrawals. The financial crisis of 2007- 2008 can partially be blamed on unpaid mortgages, which in turn caused a freeze in the lending markets, ultimately giving rise to what was popularly termed the “credit crunch”. The banking crisis of 2007-2008 was characterized by an extended period of economic instability. A large number of banks became insolvent as bank runs became more widespread. Banking crises can have serious macroeconomic consequences if not dealt with in an expedient and effective manner. In a worst-case scenario, a bank run may trigger an economic recession that may require years to resolve. This may occur when a bank run, defined as the widespread withdrawal of savings from banks and other financial institutions by depositors in order to protect their savings, leads to a diminished confidence in the banking sector and the economy as a whole. Panic can spread at an accelerated pace, quickly rendering banks insolvent and spreading financial contagion to and decimating additional industries that are strongly reliant on the financial sectors reserves for funding. To gain a deeper understanding of the mechanism by which banking crises play an influential role on the health of banks, an analysis of liquidity of banks need to be conducted with the purpose of evaluating the validity of the relationship between proven performance ratios and bank stability.
  • 2. International Journal of Economics and Financial Research 83 2. Literature Review Hasan and Dridi (2010), sought to examine the overall performance of both Islamic banks and conventional banks under the adverse conditions of the global financial crisis. To test the effects of the crisis on bank performance, the authors used various regression analysis techniques to accurately measure the impact of challenging economic indicators and how they affect the metrics typically associated with bank performance such as profitability, credit, asset growth and external ratings. The results of their analysis indicate that Islamic banks have been affected differently in comparison to conventional banks. Ivashina and David (2010), studied the effect of the banking panic on the supply of credit to the corporate sector in USA. Their analysis first uncovered inverse relationship between the amount of deposit financing available to banks and the amount of syndicated lending that they take part in namely that banks with more deposit financing cut their syndicated lending by less than did banks without as much access to this, more stable, source of funding. Their additional focus was on the effect of credit-line draw-down on new syndicated lending. Regression analyses were employed on the data obtained from Reuters’ Dealscan database. The findings declared the new lending declined substantially during the financial crisis 2008 across all types of loans. Munteanu (2012) analyzed data of 27 banks in Romania over the period 2002-2010 districting between the pre- crisis ears (2002-2007) and the crisis years (2008-2010) to study the effect of several internal and external factors on the net loan/total assets indicator and again on the liquid assets/deposits and short term funding indicator. The results of his two regression models indicate that the crisis brought substantial changes to the structure of bank determinants. Akhtar et al. (2011), sourced and compiled data from 12 conventional and Islamic banks in Pakistan in order to assess their risk management performance. A multitude of analysis techniques were performed during 2006-2009, namely descriptive, correlation and regression analysis. These techniques were tasked with assessing the relationship between a banks degree of liquidity risk and its predictive effect on other bank performance indicators. The authors found a positive but insignificant relationship between liquidity risk and bank size as well as association between liquidity risk and the net working capital to net asset ratio. The authors also observed a strong and predictive relationship between liquidity risk and capital adequacy ratio for conventional banks. With respect to Islamic Banks, the impact of liquidity risk was most notably seen when measuring a banks return on assets responded to varying degrees of liquidity risk, where a statistically significant relationship was observed. Berger and Bouwman (2013) examines the effect of capital on banks’ performance and how this effect varies across the banking crises, market crises as well as under normal circumstances that have largely represented the economic climate in the US over the past quarter century. Regression analysis was conducted to test their hypothesis. The research findings reinforced the importance of capital in insulating a bank from financial turmoil in the event of a widespread economic downturn. Firstly, the authors found that a higher amount capital can significantly improve a small bank’s odds of surviving at all times, irrespective of the wider macroeconomic atmosphere. Secondly, the authors found that a higher amount of capital helps medium and large banks improve their financial resilience in times of financial crises. Hong et al. (2014), calculated both coverage and net stable funding ratios by implementing the requirements of Basel III on US commercial banks using Call Report data for the period of 2001-2011. The call report data include income statements and balance sheets which were obtained from the Federal Reserve Bank of Chicago. The authors also examined the potential links between Basel III liquidity risk measures and the prevelance of bank failures. Basing their analysis on both descriptive and regression analyses, they found that both measures have limited effects on bank failures. Mobarek and Alovaddin (2014), investigated the performance of Islamic and conventional banks. They used cross-sectional data consisting of 1857 observations obtained from 307 conventional banks and 101 Islamic banks. The data includes information related to the pre-crisis period (2004 to 2006) as well as the crisis period (2007 to 2009) covering 18 Organization of Islamic Cooperation (OIC) Countries. The authors employed two frontier approaches in addition to stochastic frontier analysis to estimate the efficiency levels of banks. Moreover, the Z- Score approach is employed to assess the soundness of banks. The result of their analysis points to a higher degree of efficiency in the manner that conventional banks managed their resources. This is in contrast to the performance of Islamic counterparts, which suffered from relatively poorer management of the financial resources that are available to them. Tlemsani and Huda (2016), analyzed the performance of Islamic and conventional banking systems in the UAE during the financial crisis. The research was undertaken in two stages. Beginning with comparative analysis of the performance of two banks, one Islamic and one conventional, during the year 2007 and 2008 and concluding with a comprehensive, cross-sectional analysis between eight Islamic and forty three conventional banks during the period 2007 and 2008, the findings of the research showed that on the macro level, both banking sectors were impacted negatively by the crisis. The notable difference between the banks lie in two key areas, levels of liquidity and their overall exposure to under-performing loans, respectively. The analysis highlighted the key advantage that Islamic banks have in the context of these measures, specifically that Islamic banks were able to preserve a higher percentage of liquidity than conventional banks, all while maintaining a lower exposure to underperforming loans. The latter distinct feature of Islamic Banks, namely the lower levels of exposure to bad debt, has obvious positive implications as it means the Islamic banks debtors are more likely to meet their current and future financial obligations to the given bank, thereby potentially improving and directly contributing to the higher levels of liquidity that Islamic banks also enjoyed.
  • 3. International Journal of Economics and Financial Research 84 Hassense and Ben (2016), conducted a comparative study on the level of efficiency among Islamic and conventional banks in Malaysia using various econometric methods composed of three proven ratios in order to assess bank profitability and efficiency. These ratios commonly known a return on assets, return on equity, and cost to income are the widely accepted gold standard in the assessment of bank performance respectively. Financial and econometric analysis found that Islamic banks are significantly more efficient than conventional banks in the way their resources are managed. Haddad et al. (2020), made a comparative study assessing the liquidity levels of Islamic and conventional banks using data from 63 large banks spanning sixteen countries for the period 2010-2018. The authors used both Mann- Whitney test and descriptive statistics. The results of their analysis confirmed that Islamic banks are more liquid than their conventional counterparts. 3. Research Methodology The overall objectives of this research is to study the behavior of liquidity indicators during for the years 2005- 2009 on five leading conventional leading private sector commercial banks using proven financial ratios that will notify the author of any changes of a bank’s performance over the period 2005-2009. The data used for this research was obtained from the Abu Dhabi financial service company. In order to accurately measure liquidity performance and make an effective comprehensive comparison of the performance of five banks during the years 2005-2009, this research uses four common indicators of liquidity performance, loan to total assets, loans to customers’ deposits, equity to total assets, and investment to total assets indicators. For each indicator, a calculation of financial ratios will be conducted in order to measure bank performance. These indicators will then be ranked for the purposes of comparison. The coefficient of variation will then be used to measure the stability-variability of these ratios over the years 2005-2009. 4. Research Results 4.1. Loans to Total Assets This ratio evaluates a banks respective level of liquidity by dividing the total amount of loans by the total amount of assets that a bank possesses. A higher ratio indicates that a bank is offering more loans to the customers and consequently has a lower level of liquidity. In this case, a bank’s behavior will be associated with higher level of risk by increasing the level of defaults. The findings showed that RAK bank experienced a high level of loan offerings over the five years with the mean of this ratio standing at 76.41% while the ratio for Mashreq bank is 47.97%. The effect of financial crisis on ratio performance for National union bank was most noticeable in 2009 when this ratio declined from 77.32% in 2008 to 67.04% in 2009. For RAK bank the drop occurred earlier, specifically in 2007 when this ratio experienced a drop from 77.06% in 2006 to 74.47% in 2007, while Mashreq bank first started witnessing a significant decline in 2009 when this ratio declined from 51.94% in 2008 to 44.51% in 2009. Both Commercial Bank International and Commercial Bank of Dubai witnesses a decline in this ratio in 2009 as a response to the financial crisis. RAK bank has a high degree of stability with respect to this ratio as highlighted by the 3.10% coefficient of variation, in comparison with Commercial bank International who has the highest level of instability with coefficient of variation of 13.45%. Table-1. Loans to Total Assets ratio Year National Union RAK Bank Mashreq Bank Commercial Bank International Commercial Bank of Dubai 2005 59.27 73.41 47.85 56.69 61.13 2006 66.19 77.06 51.81 65.02 67.59 2007 67.40 74.47 43.75 71.55 68.26 2008 77.32 78.66 51.94 82.01 79.93 2009 67.04 78.46 44.51 71.41 77.15 Mean 67.44% 76.41% 47.97% 69.34% 70.81% Standard deviation 6.44 2.37 3.88 9.44 7.65 Coefficient of Variation 9.55% 3.10% 8.08% 13.45% 10.80% 4.2. Loans to Customers Deposits This ratio shows the ability of a bank in employing the deposits received from customers in order to offer loans. A high ratio score translates to a higher utilization of deposits to offer loans to customers. Consequently, it also typically results in a lower level of bank liquidity. In this analysis, the findings showed that RAK bank is enjoying higher level of this ratio with a mean of 111.41%, which means that this bank is using customers’ deposits in addition to other sources of money to offer loans. The National Union bank scored 93.14% of the customers’ deposits to offer loans. Mashreq bank’ scored lower ratio of 83.33%. The effect of the financial crisis on this ratio’s performance for all banks was most pronounced in 2009, at the eve of the financial crisis, when the ratio declined from 101.93% in 2008 to 99% in 2009 for National Union Bank.. RAK bank was also mainly affected over the same period when the ratio declined from 113.43% in 2008 to 104.51% in 2009. Similarly, the decline in the ratio for Mashreq bank began during the same period, from 94.09% in 2008 to 78.50% in 2009. Similarly, the ratio for Commercial Bank International declined from 117.27% in 2008 to 91.25% in 2009.Finally, the decline for Commercial Bank of Dubai was from 110.61% in 2008 to 101.61% in 2009. Amongst the banks studied, RAK bank
  • 4. International Journal of Economics and Financial Research 85 proved to possess the highest degree of stability in the utilization of deposits for the provision of loans, with a coefficient of variation of 4.06% while commercial bank international possessed highest level of instability of this ratio with coefficient of variation of 16.91%. Table-2. Loans to Customers Deposits Ratio Year National Union RAK Bank Mashreq Bank Commercial Bank International Commercial Bank of Dubai 2005 80.29 109.76 74.22 72.96 87.84 2006 91.51 116.47 86.71 91.00 91.91 2007 92.97 112.89 83.11 95.81 98.11 2008 101.93 113.43 94.09 117.27 110.71 2009 99.00 104.51 78.50 91.25 101.61 Mean 93.14 111.41 83.33 93.66 98.84 Standard deviation 8.36 4.53 7.64 15.84 8.87 Coefficient of Variation 8.98% 4.06% 9.17% 16.91% 8.97% 4.3. Shareholders’ Equity to Total Assets Equity ratio shows the percentage of shareholders’ fund that finance total assets. The higher ratio indicates higher level of liquidity. Table 3 below shows that commercial bank of Dubai got high liquidity to finance its assets with a percentage of 16.43% while the lowest rate is Mashreq bank with a ratio of 13.05%. I n 2009, the banks under study have increase this ratio comparing to the year 2008. Both RAK and Commercial Bank International have highest level of stability with coefficient of variation of 6.80% for each while Union National bank has the highest level of instability with coefficient of variation 18.16%. Table-3. Shareholders’ Equity to Total Assets ratio Years National Union RAK Bank Mashreq Bank Commercial Bank International Commercial Bank of Dubai 2005 17.52 13.80 14.98 12.89 18.46 2006 14.00 14.10 14.27 15.11 20.37 2007 11.96 14.37 12.09 14.17 15.64 2008 11.46 14.93 11.80 14.43 13.15 2009 12.52 16.34 14.09 15.40 14.54 Mean 13.49 14.71 13.05 14.40 16.43 Standard deviation 2.45 1.00 1.47 0.98 2.94 Coefficient of Variation 18.16% 6.80% 11.26% 6.80% 17.89% 4.4. Investment to Total Assets This ratio shows the efficiency of a bank in investing some of its money to generate extra revenues. Mashreq bank has higher ratio of investing which formed 20.89% of the years of study while the commercial bank international got the lowest ratio which was 4.35%. The ratio has been declining in 2009 for all banks as a result of the crisis except for national union bank which increased from 5.40% in 2008 to 6.03% in 2009. The Union National bank obtained higher level of stability as it is possess lower coefficient of variation 10.77%, while commercial bank international has higher level of instability as its coefficient of variation is 44.14%. Table-4. Investment to Total Assets Ratio Years National Union RAK Bank Mashreq Bank Commercial Bank International Commercial Bank of Dubai 2005 6.15 4.37 24.30 6.73 7.45 2006 5.63 5.64 23.43 6.15 5.64 2007 4.63 5.70 17.43 3.12 7.52 2008 5.40 4.63 21.15 2.95 6.25 2009 6.03 2.32 18.16 2.79 5.15 Mean 5.57 4.53 20.89 4.35 6.40 Standard deviation 0.60 1.37 3.06 1.92 1.06 Coefficient of Variation 10.77% 30.24% 14.65% 44.14% 16.56% 5. Conclusion The central objective of this paper has been to conduct a comparative study of the liquidity performance of five banks in United Arab Emirates for the period of 2005-2009 including assessing the effect of financial crisis 2007- 2008 on the liquidity indicators of these banks. Four groups of parameters have been used to measure bank liquidity performance. The findings show that the five banks were significantly impacted by the financial crisis. However the five banks remained financially viable as they employed the appropriate financial tools and policies to manage their liquidity and to skillfully adapt to their dynamic environment, resulting in modest liquidity over the period. Four
  • 5. International Journal of Economics and Financial Research 86 liquidity ratios were analyzed, loans to total assets, loans to customers deposits, equity ratio, and investment to total assets ratio. The negative effect of the crisis on the banks’ liquidity was highlighted by the decline in ratio performance in 2009 in comparison to 2008. On the other hand, these banks increased the level of equity to reduce the potential risk and increase liquidity. Different banks possesses different levels of stability as using different methods of exerting more control over factors that influenced liquidity. The inability of the banking sector to properly manage its exposure to liquidity risk culminated in the 2008 financial crisis. The aftermath of the crisis saw increased calls for more scrutiny of the banking sector, leading to the formation of the Basel III Committee on Banking Supervision in 2010. The primary goal of the Basel Ill committee was to address this perceived widespread financial negligence by setting forth, reinforcing and promoting adherence to a worldwide standard for the measurement and management of liquidity. Some of the Basel III demands included a raise in the minimum capital requirement from 8 percent capital adequacy to 10.5 percent of risk-weighted assets as well as the introduction of two novel measurements of liquidity, namely the liquidity coverage ratio and the net stable funding radio respectively (Basel Committee on Banking Supervision- BCBS, 2010). The intended use case of the liquidity coverage ratio is to assess a bank’s ability to honor the financial obligations that are due in the following 30 days. While the liquidity coverage ratio seeks to make valid predictions about a bank’s short time obligations and its ability to meet them, the net stable funding ratio, on the other hand, excels at its purpose of providing a valid forecast of a bank’s ability to meet its longer term financial obligations. Bankers, academics and policy makers alike could derive great benefit in consulting the great cautionary lessons that the 2008 financial crisis serves to provide. This study attempts to provide clarity to those necessary lessons by encouraging banks and policy-makers to examine the influence of liquidity fluctuations on financial institutions and their business operations. Future research should pursue the effect of liquidity on both credit risk and insolvency risk. References Akhtar, M. F., Khizer, A. and Shama, S. (2011). Liquidity risk management: A comparative study between conventional and islamic banks of Pakistan. Interdisciplinary Journal of Research in Business, 1(1): 35-44. Basel Committee on Banking Supervision- BCBS (2010). Basel iii: International framework for liquidity risk measurement, standards and monitoring. Bank for International Settlements: Switzerland. Berger, A. N. and Bouwman, C. H. (2013). How does capital affect bank performance during financial crises? Journal of Financial Economics, 109: 146-76. Available: https://doi.org/10.1016/j.jfineco.2013.02.008 Haddad, A., EL Ammari, A. and Abdelfattah, B. (2020). Comparative and demonstrative between the liquidity of islamic and conventional in a financial stability period: Which type of banks is the most liquid? International Journal of Financial Research, 11(1): 252-72. Available: https://doi.org/10.5430/ijfr.v11n1p252 Hasan, M. and Dridi, J. (2010). The effects of the global crisis on islamic and conventional banks, international monetary fund, working paper wp/10/201. Hassense, B. M. and Ben, M. K. (2016). The performance of islamic and conventional banks in Malaysia considering crisis period. Journal of Business Studies Quarterly, 8(1): 35-45. Available: https://doi.org/10.5296/ajfa.v3i1.918 Hong, H., Huang, J.-Z. and Deming, W. (2014). The information content of basel iii liquidity risk measures. Journal of Financial Stability, 15: 91-111. Available: https://doi.org/10.1016/j.jfs.2014.09.003 Ivashina, V. and David, S. (2010). Bank Lending during the Financial Crisis of 2008. Journal of Financial Economics, 97: 319-38. Available: https://dx.doi.org/10.2139/ssrn.1297337 Mobarek, A. and Alovaddin, K. (2014). Comparative Performance Analysis between Conventional and Islamic Banks: Empirical Evidence from OIC Countries. Applied Economics, 45(3): 253-70. Available: https://doi.org/10.1080/00036846.2013.839863 Munteanu, L. (2012). Bank liquidity and its determinants in romania, sciverse science direct. Procedia Economics and Finance, 3: 993-98. Available: https://cyberleninka.org/article/n/450114 Tlemsani, I. and Huda, A. l. S. (2016). Comparative analysis of islamic and conventional banks in the UAE during the financial crisis. Asian Economic and Financial Review, 6(6): 298-309.