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CREDIT RISK IN ISLAMIC BANKS OF GCC COUNTRIES
HAMID ABDULKHALEQ HASAN AL-WESABI
OTHMAN YEOP ABDULLAH GRADUATE SCHOOL OF BUSINESS
UNIVERSITI UTARA MALAYSIA
2012
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CREDIT RISK IN ISLAMIC BANKS OF GCC COUNTRIES
A Thesis Submitted to Othman Yeop Abdullah Postgraduate Studies
In Partial Fulfilment of the Requirement for the Degree
Master Science of Finance
Universiti Utara Malaysia
By
HAMID ABDULKHALEQ HASAN AL-WESABI
(802497)
OTHMAN YEOP ABDULLAH GRADUATE SCHOOL OF BUSINESS
UNIVERSITI UTARA MALAYSIA
2012
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PERMISSION TO USE
In representing this thesis of requirements for Master of Science Finance from
University Utara Malaysia, I agree that the University Library make it freely available
for inspection. I further agree that permission of copying of this thesis in any manner, in
whole or in part, for scholarly purposes may be granted by my supervisor or, in their
absence, by the Dean of Othman Yeop Abdullah Graduate School of Business. It is
understood that any copying or publication or use of this thesis or parts thereof for
financial gain shall not be allowed without my written permission. It is also understood
that due recognition shall be given to me and Universiti Utara Malaysia for any
scholarly use which may be made of any material from my thesis.
Requests for permission to copy or to make other use of materials in this thesis, in
whole or in part should be addressed to:
Dean
Othman Yeop Abdullah Graduate School of Business
University Utara Malaysia
06010 Sintok
Kedah Darul Aman
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ABSTRACT
This study is aimed to investigate the factors which affect credit risk of Islamic banks in
Gulf Cooperation Council (GCC) countries. The study used the secondary data obtained
from the web sites of 25 Islamic banks during the period from 2006 to 2010. This study
used credit risk as a dependent variable and selected NPL as a proxy for credit risk; also
it selected nine independent variables. The independent variables contained three
macroeconomic variables to examine their effect on credit risk of Islamic banks, and
other independent variables consider bank specific variables. Macroeconomic variables,
study used them as external variables which are GDP, INF and LIBORand we found
that GDP is significant and negatively related to credit risk, but inflation rate and
LIBOR were insignificant and hypotheses rejected. GCC economy is still depends on
oil revenues, thus fluctuation of oil prices which are come out because of GFC that
worsened in 2008, and generated instability in oil prices. Despite, Islamic banks
showed withstanding and resilience better than other financial institutions. Though
Islamic banks were affected by the crisis and the study showed higher credit risk
exposure over the tested period. The other six independent variables that study used
them as internal variables which are management efficiency (MGTEFF), loan to deposit
(L/D), risky asset (RSKAST), natural logarithm of total assets (LNTA), regulatory
capital (REGCAP) and loan loss provision (LLP). This study found that there are three
variables which are MGTEFF, L/D and RSKAST, were significant and MGTEFF was
negatively, while L/D and RSKAST were positively related to credit risk. Linear
regression analysis has done for the model of this study, and for 125 observations, to
explore the significance variables that affect credit risk in Islamic banks of GCC
countries. We excluded Saltant Oman which has no Islamic banks during the tested
period.
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ACKNOWLEDGMENT
In the name of Allah most gracious, most merciful
Firs of all, many thanks to Allah and all my praises to him whos blessing, guidance and
bestowing me great strength, and patience to complete this thesis.
My highest and most sincere appreciation dedicate to my mother and the pure spirit
of my father, and to my elder sister Um Saleem, my wife, my son Abdulkhaleq and all
family for supporting, encouragement and patience.
I would like to express my heartfelt thanks to my supervisor Professor Nor Hayati
Ahmed, who helped, motivated me and gave me many advices and ideas for this study
to be completed, and I feel proud and pleasure to be under her supervision. And My
heartfelt appreciation and thanks to Assoc. Prof. Nor Afifah Ahmed and all the
members of Othman Yeop Abdullah Graduate School Of Business at the University
Utara Malaysia.
Finally, to all that I have not mentioned, send my great thanks to all of you.
Hamid Abdulkhaleq Hasan Al-Wesabi
January, 2012
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TABLE OF CONTENTS
PERMISSION TO USE........................................................................................................................ I
ABSTRACT......................................................................................................................................... II
ACKNOWLEDGMENT..................................................................................................................... III
TABLE OF CONTENTS................................................................................................................... IV
TABLE OF TABLES......................................................................................................................... VI
TABLE OF CHARTS AND FIGURES............................................................................................. VI
LIST OF ABBREVIATIONS........................................................................................................... VII
CHAPTER ONE
INTRODUCTORY PART
1.1 INTRODUCTION............................................................... ....................................................... 1
1.1.1 Islamic Banks In the GCC Countries................................................................................. 2
1.1.2 The Economic Variables of GCC Countries.......................................................................... 3
1.1.2.1 The GDP of GCC countries:............................................................................................ 4
1.1.2.2 The inflation of GCC countries:...................................................................................... 5
1.1.3 GCCs Islamic Banks and their Challenges...................................................................... 6
1.2 BACKGROUNDOFTHESTUDY......................................................................................... 10
1.2.1 Concepts Relevant to Credit Risk in Islamic Banking.......................................................... 11
1.2.2 Credit Risk in Islamic Banks of GCC countries................................................................... 13
1.3 PROBLEM STATEMENT.................................................................................................... 15
1.4 RESEARCH QUESTIONS.................................................................................................... 20
1.5 RESEARCH OBJECTIVES.................................................................................................. 21
1.6 SIGNIFICANCE OF THE STUDY....................................................................................... 21
1.7 SCOPE OF THE STUDY..................................................................................................... 22
CHAPTER TWO
LITRATURE REVIEW
2.1 DELEGATEDMONITORINGTHEORY.......................................................... ..................... 24
2.2 PASTSTUDIES................................................................. ...................................................... 28
2.2.1 A comparison between Islamic and conventional banking concerning risks........................ 28
2.2.2 Impact of GFC on GCC countries Islamic banks........................................................... 30
2.2.3 Past Studies of Islamic Banks Credit Risk...................................................................... 33
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CHAPTER THREE
METHODOLOGY
3.1 INTRODUCTION............................................................... ..................................................... 40
3.2 THEORETICALFRAMEWORKANDMODEL................................................................... 40
3.3 HYPOTHESESDEVELOPMENT................................................................................ .......... 42
3.4 MEASUREMENTOFTHEVARIABLES.............................................................................. 46
3.4.1 Dependent Variable............................................................. ..................................................... 46
3.4.2 The Independent Variables............................................................ ........................................... 47
3.4.2.1 The external Independent Variables....................................................................................... 47
3.4.2.2 The internal Independent Variables........................................................................................ 47
3.5 DATACOLLECTIONANDSAMPLEOFTHESTUDY....................................................... 49
3.5.1 Sampling........................................................ ................................................................. .......... 49
3.5.2 Data Collection........................................................................................................................ 49
3.6 MODELOFTHESTUDY............................................................................................. .......... 50
CHAPTER FOUR
ANALYSIS OF FINDINGS
4.1 INTRODUCTION............................................................... ..................................................... 52
4.2 EMPIRICALRESULTS.......................................................................................................... 54
4.2.1 Impacts of GFC: Credit Risk and the External Independent Variables................................... 54
4.2.2 Credit Risk Analysis................................................................................................................. 59
4.2.2.1Credit Risk and the External Independent Variables............................................................... 59
4.2.2.2 Credit Risk and the Internal Independent Variables..................................................... .......... 62
4.2.3 Regression and Model Summary.............................................................................................. 64
CHAPTER FIVE
DESCUSION AND CONCLUSION
5.1 INTRODUCTION............................................................... ..................................................... 66
5.2 DETERMINANTSOFISLAMICBANKSCREDITRISK................................................. .. 67
5.2.1 Macroeconomic Determinants of Islamic Banks Credit Risk.................................................. 67
5.2.2 Internal Determinants of Islamic Banks Credit Risk............................................................... 68
5.3 CONCLUSION.............................................................................................................. .......... 69
REFERENCES........................................................................................................................................ 71
APPENDIXES.................................................................................................................................... 75
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TABLE OF TABLES
TABLE 1.1 DISTRIBUTION OF FINANCING........................................................................................................... 18
TABLE 2.1 RISK SHARING AND RISK TRANSFE .................................................................................................... 28
TABLE 2.2 INDICATORS FOR ISLAMIC BANKS ....................................................................................................... 32
TABLE 2.3 CREDIT RISK IN DIFFERENT MODES ..................................................................................................... 34
TABLE 2.4 TYPES OF RISKS IN ISLAMIC BANKS .................................................................................................... 35
TABLE 4.1 DESCRIPTIVE STATISTICS.............................................................. ..................................................... 60
TABLE 4.2 REGRESSIONANALYSIS .................................................................................................................... 61
TABLE 4.3 MODEL SUMMARY......................................................................................................................... 65
TABLE 4.4 CHANGE STATISTICS........................................................................................................................ 65
TABLE OF CHARTS AND FIGURES
CHART 1.1 THE REAL GDPOF GCCCOUNTRIES ................................................................................................... 5
CHART 1.2. THE INFLATION OF GCCCOUNTRIE......................................................... ............................................. 6
FIGURE 1.1: RISKS IN BANKING INSTITUTION...................................................................................................... 10
CHART 1.3 THE ISLAMIC BANKS MODES FINANC........................................................ ........................................... 16
CHART 1.4 LOAN PORTFOLIO COMPOSITION BY MODE OF FINANCING................................................................... .. 19
FIGURE 3.1 CONCEPTUAL FRAMEWORK ............................................................................................................ 41
CHART 4.1 THE IMPACT OF GFCON REAL GDP................................................................................................... 55
CHART 4.2 THE IMPACT OF GFCON INFLATION................................................................................................... 56
CHART 4.3 DECREASING THE LIBOR............................................................ ..................................................... 57
CHART 4.4 NPLIN THE ISLAMIC BANKS OF GCC................................................................................................ . 59
CHART 4.5 AVERAGE OF NPLIN THE ISLAM BANKS.................................................................................... .......... 60
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LIST OF ABBREVIATIONS
Abbreviation Description of Abbreviation
GCC Gulf Cooperation Council
GDP Gross Domestic Product
UAE United Arab Emiratis
KSA Kingdom Saudi Arabia
LLR Loan Loss Reserve
CPI Consumer Price Index
INF Inflation Rate
LIBOR London Interbank Offered Rate
PLS Profit-Loss Sharing
M-M Mudarabah and Musharakah
GFC Global Financial Crisis
SSA Sub-Saharan Africa
NPA Non-Performing Assets
NPLs Non-Performing Loans
REGCAP Regulatory Capital
LLP Loan Loss Provision
LEV Leverage
ETA Equity to Total Assets
EQL Equity to Net Loans
ImLGL Total Impaired Loans/Gross Loans
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MIR Market Interest Rate
MGTEFF Management efficiency
RWA Risk Weighted Asset
LNTA Natural Logarithm of Total Assets
RSEC Risky Sector Loan Exposure
L/D Proportion of Loan to Deposit
RSKAST Risky Asset
MENA Medal East and North Africa
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CHAPTER ONE
INTRODUCTORY PART
1.1 INTRODUCTION
Islamic banking is a system which totally relies in its operations on the principles of
Islamic shariah. In over 70 countries (including Muslim ones), shariah compliant
products are practiced alongside with conventional banks products which are interest
based. Hence, Islamic banks operate in the interest free system and this is one of the
important things which represent the main difference between the two banking systems,
Islamic religion put strict prohibitions of (Riba) or interest. In other divination, Islamic
banking service represents the main brick in the edifice of Islamic economy, and an
important tool to measure its effectiveness, and its applications support its objectives in
the Islamic society, and contribute to build the economic reality of the Islamic manners.
On this basis, Islamic banks provide funds and involve in productive projects that are
compliance with Islamic law (Shariah). This shows the extent of awareness that Islamic
banks play in Muslim's societies today, and they try to carry out their duties and meet
society's needs for such services. In order to achieve that end, Islamic banks took into
the geographical spread in the world during the past three decades, and significant
presence of these banks in the Middle East, especially in the Gulf Cooperation Council
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2003, and this is expected to trend higher on the back of a wide acceptance and
increased demand for Islamic banking products and services. The most important
factors explaining the fast growth of Islamic banking assets in the GCC region are the
strong government involvements5 supporting their economies which depend on the oil
wealth.
Hence, a study in GCC countries is needed, because few studies are done in the region.
1.1.2 The Economic Variables of GCC Countries
The economists classified economies of the GCC countries as developing countries, as
oil was the most important sources of income for them, and oil revenues were
instrumental in enhancing economic growth. Furthermore the oil sector in GCC is
characterized by a high degree of energy financing and higher average per capita
income. It could say that the economy of GCC countries primarily relies on the oil
sector that considers as a dominant public sector or the leader sector and other
government and private sectors depend on its revenues,Laabas and Limam, (2002). As
a result, GCC countries face many urgency challenges in order to decrease this
dependency and developing other non-oil sectors (Saif, 2009).
It is obvious that macroeconomic performance would be affected by the changes in the
oil prices and if there exist instability in oil revenues this will have an impact on the
rates of growth in the economy through the government expenditures changes. So
GCC countries ought to diversify their exports in order to decrease the dependency on
oil which is considered a dominant sector. Also economic diversification is important
(5) Standard & Poors Ratings Services
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for these countries to reduce risk or at least spread it; to limit the affect of widely
volatility in oil price; to create job opportunities and to promote economic development
(fasano and Iqbal, 2003).
On the other hand, and according to Saif (2009), GCC countries which pegged the
exchange rate of their currencies to the price of a main export commodity (i.e. the oil
price) they expend creed the following: the fiscal spending of the State of Kuwait and
Oman were reduced from 21.3 percent of Gross Domestic Product (GDP) to 12.5
percent of GDP and from 6.4 percent to 5.3 percent of GDP respectively. Also volatility
in government expenditure in Saudi Arabia reduced from (6.6% to 2.8%).
This means that the macro economy of GCC countries would be affected by the
continuous fluctuations in oil price if local currencies are pegged to oil price. (Saif,
2009).
1.1.2.1 The GDP of GCC countries:
GDP is a measure for the economic performance of a country, through the total of
market value of the final goods and services which are produced in that country for just
one year.
Generally, Saudi Arabia has a higher GDP than all the rest of the countries, followed by
UAE and the four remaining countries are approximately similar (Shafiqurrahman,
2010).
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Chart 1.1 The real GDP of GCC countries 1
Nominal GDP in Saudi Arabia was 435.5 ($ billions) in the end of 2010, followed by
260.2 ($ billions) in UAE, and it is about 116 22 ($ billions) in other four countries in
the end of 20106.
1.1.2.2 The inflation of GCC countries:
Generally, overall inflation in the GCC countries is low, although there are many
pressures from rising commodities prices.
(6) Source: IMF, IIF, National Accounts, Samba.
Chart 1.1 The real GDP of GCC countries
Source: GCC Economic Outlook Official sources / NBK estimates and forecasts - April 2011
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Available information shows that the average inflation for the GCC is 3.2 percent in the
beginning of 2010 and 4 percent in the beginning of 2011 7 . Actually there are
substantial differences between the GCC countries in terms of demand and supply, but
generally this rate is expected to cause inflation to be higher than existed before the last
crisis.
1.1.3 GCCs Islamic Banks and their Challenges.
In general Islamic banks are moving significantly in the quantitative aspects. But
actually in the recent decade, Islamic banks have been faced a lot of criticism, in terms
of originality of Islamic banking products, roles and social development for Islamic
banks, and costs of transaction and products in these banks. Also despite Islamic banks
of GCC countries has witnessed the remarkable growth in business recently and
(7) GCC Outlook 2011, Samba Financial Group.
Chart 1.2.The inflation of GCC countries Chart 1.2. The inflation of GCC countrie 1Source: GCC Outlook 2011, Samba Financial Group
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tremendous demand for its products and services, the Islamic banks in this region were
less affected than conventional banks by the initial impact of the global crisis (Hasan
and Dridi. 2010).
Nevertheless, they still face many obstacles and challenges. According to Dr.
Mohammed Alqerri8; there is a continuous challenge of applying instruments or modes
of financing and methods of payment and collection which are significantly different of
conventional system. Another challenge is the relationship between Islamic bank and its
central bank in the same country; because their legislations are still conventional based.
In addition to several problems such as problem of delaying payment in buying-selling
and financing transaction, there are problem of mixing investment deposits and
overlapping their profits, and benefit from each other due to the lack of stability, and
finally the problem of distribution of profits.
The relationship between Islamic banks and own central banks requires differential
treatment with that of conventional banks, for example to provide liquidity, it will not
be lend on interest based like conventional banks but the basis is on Qard Hasan (free
interest rate). Otherwise, Islamic bank may use Tawarroq to buy a commodity from
banks, or reverse Murabahah when Islamic bank buys the commodity from the central
bank, and then sell the same commodity to a third party. Actually, this shariah
complaint way will provide cash to Islamic bank under certain circumstances (Fleifel,
2009).
On the other hand, the rate of profit of Islamic banks follows the prevailing
international interest forcedly by legislation of central bank. Hence central banks
impose on Islamic banks the same rate of dividend interest rate for lending in the
(8) Professor of Islamic Economics and Director of the Centre Researches in Islamic Economics at King Abdulaziz University inJeddah.
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what were they should be is an agglomeration in order to be an affected and powerful in
the in international forums.
Furthermore, Islamic banks are needed for a stable economic and financial environment
and they are needed to be shariah compliant banks. That is the main point which
distinguishes them. All of these and other elements require bankers to be experienced in
Islamic products and fundamental Shariah principles, specially pertaining to defaults,
penalties, and investor rights (Greuning and Iqbal, 2009). But one of the most important
challenges that Islamic and conventional banks are facing is risks management, since
the whole banking system needs to manage their risks in order to avoid and/or hedge
many types of risks.
Generally, banking institutions exposure to many types of risks could be categorized to
three main categories of risks. There are as shown in figure 1.1: (1) Financial risk, (2)
Business risk and (3) Operational risk. The last two risks relate to internal affairs of the
bank, but financial risk arises from the business activities of the bank, so credit risk is
categorized under financial risks (Ismal, 2010).
Actually, and as mentioned previously, the main difference between two banking
systems is complying with the Islamic shariah in case of Islamic bank, in addition to its
regulation. However similar potential risks would be faced by both banking systems
and may be lead to a collapse, major risks for banks such as (1) credit risk, (2) market
risk, (3) liquidity risk, and (4) operational risk, might cause a systemic risk which can
leads to a case of systemic failure (Fleifel, 2009).
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Figure 1.1 : Risks in Banking Institutio 1
Since, due to Islamic banks need to comply with the Islamic Shariah involving many
(payment/settlement) activities, they are vulnerable to risks, and particularly credit risk,
which is the main risk facing these banks.
1.2 BACKGROUND OF THE STUDY.
The seventies of the last century, came the starting of the emergence of Islamic banks in
GCC countries. In UAE the first Islamic bank was established 1975, and then they were
followed by others and spread to the rest at Arab and Islamic countries.
Source: Rifki Ismal 2010 .
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risks, and to control on the cause of risks, this process is Risk management (Khan and
Ahmed, 2001).
As well, risk management in the Islamic banking it is not significantly different from
that in the conventional banking; however some kinds of risks have specific features of
Islamic financing contracts. In addition to risks that are unique to Islamic banking
sector and related to the shariah compliant and different instrument that Islamic bank
adopted (Said et al. 2000).
For example, Islamic banks use risk assessment and the processes of measurement to be
applicable to Profit-Loss Sharing (PLS) assets (e.g. Mudarabah and Musharakah).
These modes actually make Islamic banks vulnerable to the risks which shifted
normally to the depositors to be borne by equity investors rather than debt holders.
Hence, administration of PLS modes is more complex than conventional banks. In fact
that risk is credit risk in Islamic banking system (Sundararajan and Errico, 2002).
Furthermore, and according to (Ananzah and Othman, 2010) credit risk arises in
the Islamic Banking through the (1) Accounts receivable of Murabaha, (2) Accounts
receivable and parties of dealing within contracts Istisna, (3) Payment of rents in
the city leases, and (4) Instruments that are held by their maturity dates in the
register bank.
Generally, and according to Tariqullah Khan and Habib Ahmed, credit risk is the risk
that the borrower or counterparty inability to meet its obligations in accordance with
agreed terms. On the other hand, credit risk faced by Islamic banks, it is arising when
the bank pays money as occurs in Istisnaand Salam contracts or delivers assets before
receiving its own cash or assets as occurs in Murabahah contract, therefore, the bank
would be subject to credit risk. While the credit risk occurs in PLS modes of
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Mudarabah and Musharakah (M-M) is the risk that arises when the entrepreneur fail to
pay the share of the bank, actually, this problem will be exist in casing in the absence
of sufficient information about the profits of the firm, and this problem occurs in case of
non-performance of a trading partner of bank by Murabahah contracts. And the
literature called this problem as asymmetric information problem between borrower and
lender which will be covered in next chapter within the Delegated Monitoring Theory
(Khan and Ahmed, 2001, pp 29, 54).
There are many factors that result in credit risk: concentrations of credit, whether for
individuals or sectors; non-diversification in the credit portfolio and weakness of the
process of credit analysis. And according to Basel Committee II on banking
supervision, credit risk arises when there is no enough capital to protect the interests of
both depositors and borrowers and other stakeholders. Actually, Basel II highlighted
subject of the capital adequacy of banks especially conventional banks, by focusing on
the concept of capital based on risk, and recommended that increasing risk of the bank,
it requires retaining more capital to cope with those risks (Kahf, 2005).
In addition to risks that are unique to Islamic banking sector and related to the shariah
compliant and different instruments that Islamic bank adopted (Said, Shafqat and
Rehman, 2000).
1.2.2 Credit Risk in Islamic Banks of GCC countries.
A since of achievements by Islamic banks of GCC countries in a short time, seem to
suppose that these banks do not face significant risks. But in fact that rapid growth of
the Islamic banking sector in this region and growing the acceptance of it, refer to
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factors related to the method of Islamic banks operation and their banking activities.
And one of these factors, the trend of most Islamic banks to establish a portfolio local
investment and mutual funds in global equities, which led to the great expansion
of the market for these banks and the increasing investment financial services.
In contrast, in these countries where there is great wealth though agricultural sector is
limited, microfinance was mostly irrelevant and industry sector still does not consent
demands of the vast majority of people. But can saying that government involvement
and as mentioned previously, using the beneficial from the oil sector (oil revenues)
which is largely the leader sector in these countries, in fact this is what explains that the
growth successive of Islamic financial Institution totally. Due to such factor, Islamic
banks of GCC countries have shown strength and resilience to face the global financial
crisis which has worsened in 200811. But does this means that those Banks are protected
of risk, or free risk? Absolutely no, and furthermore, because of different systematically
banking for Islamic banks as compared with conventional banks, there are additional
risks specific to Islamic banks, there are risk of Islamic finance instruments. Modes of
Islamic finance are only practices of new banking system, so this system has its own
understanding, its own applications and its own risks as well.
And as mentioned previously, Islamic banks in the GCC countries still face several
challenges, due to trying practice Islamic finance instruments on a large scale and
comprehensive, one of these obstacles offering instruments of credit activities, which
are subject to exposure to credit risk. Even though credit activity is one of the most
important functions that offered by banks, one of the most profitable activities and the
most risky as well. For example, that occurs especially in (Musharakah, Mudarabah,
Salam and Istisna) contract, and the expected risk in these contracts arise as a result of
(11) International Monetary Fund (IMF), Multimedia Services Division, 2010.
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category depends on the PLS principle. Hence, Islamic bank tries to make a balance
between the two modes of non-PLS and PLS, and may justify that there is expectation
that the first mode meets the least vulnerable banking credit risk (Al-Jarhi and Iqbal,
2001).
Table 1.1 Distribution of financing 1
It is as known that Islamic banks are entrusted with the depositors' money, hence they
should use with constant concern to mobilize the costumers deposit into productive
projects. In case of Islamic banks, they lend to productive projects using their
composite of instruments or modes of financing which are shariah compliant. The
banks deal with all Islamic banking products, for example, the bank funds as Profit-
Loss sharing (PLS) financing modes (e.g. Mudarabah and Musharakah), and Non-PLS
financing which represents fixed-income and installment sale such as Murabahah,
Istisna salam or Ijarah. For certain these banks are forced to use specific methods to
Source: Al-Jarhi and Iqbal, 2001.
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deal with credit risk due to the constraints of Islamic law or shariah as shown in chart
1.4 that theNon-PLS financing represent 95 percent from total financing, while only 5
percent for PLS modes.
Chart 1.4Loan portfolio composition by mode of financing 1
Therefore, Islamic banks should be aware of how to manage credit risks to ensure the
maintenance of the viabilitygrowth of Islamic banking for facing many challenges such
as crisis, and to ensure taking the necessary precautions.
Actually, there are many factors affecting these risks, and bank should be identify these
factors to be able managing credit risks in general, and achieving the required rate of
return with acceptable rate of risk (Ahmed and Nizam 2004).
Source: ATKEARNEY - John Meinhold 2010.
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This study will survey those factors affecting on credit risk which is the main risk that
banks in GCC countries face. In addition, another major significant unique risk that
Islamic banks face is the Shariah compliance risk. Islamic banks have to ensure that
they are in conform with Shariah rulings as this carries considerable reputation risk to
the bank (Jiun and Yining, 2008). However, credit risk in Islamic banks is a problem
and credit risk of Islamic banks among GCC countries have not been examined before.
Based on the above section, we list down have there the research questions and
objectives of the thesis.
1.4 RESEARCH QUESTIONS
The questions that guide the research are:
Q1: What are the factors that affect credit risk in the Islamic banks of GCC countries?
Q2: What is the extent of each factor affecting on credit risk in the Islamic banks of
GCC countries?
Q3: Which factors have more significant impact on credit risk in the Islamic banks of
GCC countries?
Q4: Are the Islamic banks credit risk in GCC countries affected by Global Financial
Crisis (GFC) in 2008?
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1.5 RESEARCH OBJECTIVES
1: To identify the factors that affect credit risk in the Islamic banks of GCC countries.
2: To determine the extent each factor affecting on credit risk in the Islamic banks of
GCC countries.
3: To identify which factor has significant impact on credit risk in the Islamic banks of
GCC countries.
4: To examine the impact of GFC 2008 on the GCC Islamicbanks credit risk.
1.6 SIGNIFICANCE OF THE STUDY
The majority of theoretical studies in Islamic banking during the recent decades focused
on the instruments of the financing whereby Islamic banks, and their ability to enhance
the needs of financial intermediation and to be an efficient substitute for lending, in
terms of people's needs for funding their productive projects and compliant of those
instruments with the laws that regulating banking activities (Eljari, 2003).
Nevertheless, the Islamic banking risk management was not taking its right of those
extensive studies, especially credit risk management. Therefore, studies of the credit
risk of Islamic instruments are very important. So this study will help correct
understanding of the analytical aspects to identify factors that affect on credit risk and
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improve its risk management in Islamic banking. Also, thebankers will understand how
to manage credit risk by surveying the factor that affect on credit risk, and they will be
benefit from this study. Moreover, it will increase more research in this area.
Actually as yet, in GCC countries, there are scant studies to examine these factors and
identify them. Hence, this study will contribute to availability some results on these
factors affecting credit risk. Bank managers can take advantages and to easier know
position of defects and then conduct the risk management of credit to face the
imbalances on keep funds or invest them.
In fact the ultimate required goal of this study is the development of credit risk
management in Islamic banks of GCC countries.
1.7 SCOPE OF THE STUDY
This survey is conducted among Islamic banks in GCC countries and will test the
impact of many factors that affect credit risk of Islamic banks of GCC countries in the
last five years, from 2005 to 2010. The year of 2008 is included to see the impact of the
crisis.
This study is limited to financial statements to figure out the relevant factors affecting
credit riskand scope of the study would cover five countries, excluding Sultanate Oman
because it have no Islamic banks during the period of the study. Also this study will
not take non-banking institution into its account.
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This study will be limited to study the factors affecting the credit risk in Islamic banks
and will be applied on Islamic banks of the Gulf Cooperation Council (GCC) countries,
where financial statements are available in the internet.
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CHAPTER TWO
LITRATURE REVIEW
Literature review is presented to enhance understanding of the relationship between
facts and what is covered in several previous studies. This will cover theory and the
empirical evidences.
2.1 DELEGATED MONITORING THEORY
Delegated Monitoring is a theory that explains the process which used via financial
intermediation to transfer the deposit funds as surplus units from depositors, and then
lend those funds to the debtors as deficit units. As a result, the banks have this
capability and work as a delegated monitors of the behaviour of borrower (Diamond
1984, 1996).
Delegated monitoring, refers to the collection of a required information about the firm
(or investors) which in the process to borrow a loan (or after granted a loan), (as a debt
contract) from intermediaries. The information would examine that the borrower
respect and adheres to the terms of the debt contract; what about his creditworthiness;
how are his investment projects would be conducted before and after granted the loan
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and observe the projects borroweroutcomes. So there are costs arise resulting from this
observation or monitoring (cost of monitoring) and executing the debt contract.
Therefore, delegated monitoring theory of borrowers is one of the most significant on
the existence of banks as mentioned in the many past studies (Matthews and Thompson,
2005, 2008).
According to delegated monitoring theory, Diamond 13 mentioned three types of
contracts between borrowers and lenders (1) Non-monitoring, and actually it will be
expensive and inefficient, (2) Investors would monitor directly, investors monitoring
can be costly (costs of monitoring), and (3) An intermediary would be a delegated
monitoring, in this case the cost of monitoring will be reduced or may be at least
avoiding duplication of monitoring costs, thus the benefits obtained will be exceeded its
costs.
However, delegated monitoring with a single loan contract would be failure, which
means if the financial intermediary contracts lending a loan with one borrower (or
projects entrepreneur) and many depositors, that it is not viable because the
intermediary cannot pay behalf of the many depositors from one projects entrepreneur.
So Diamond referred to the role of diversification in mitigating the cost of monitoring
for granting a portfolio of loans across different types of risky borrowers.
Actually portfolio diversification considers one of the most using ways when it relates
to mitigating risks or costs. Subsequently, portfolio diversification through the financial
intermediaries is applied. Therefore, the technology of financial-engineering which
focuses on the bank deposits that without cost monitoring, trying transformation of
loans with monitoring costs and enforcement debt contracts into bank deposits.
(13) Douglas W. Diamond Professor of Finance at University of Chicago, GSB, he is specialized in the study of financialintermediaries, financial crises, and liquidity.
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The financial intermediary receives deposits from the depositors to lend these funds to
entrepreneurs and will delegate of monitoring the outcomes entrepreneursprojects on
behalf of the depositors. Actually, depositors can observe the payment that they would
receive from the financial intermediary, but they cannot observe the project outcomes
which the intermediary would receive these payments from the entrepreneur, these
payments is expended in monitoring the project outcomes. In such case, the incentive
problem for the financial intermediary would be arisen because the project outcomes
are not observed by depositors, so the payments which were received by the
intermediary from entrepreneur (as a cost of monitoring) are not observed by the
depositors as well (Diamond, 1996).
Nevertheless, there are three conditions that must be done for the financial
intermediaries to be viable (1) for each unit deposited, depositors must receive an
expected return, (2) for the costs of monitoring, the intermediary must receive an
expected return net at least equal to zero (3) the projects entrepreneursmust retain an
expected return which at least higher than would lending directly from the depositors
(Diamond. 1984, pp.399, 400).
As mentioned the financial intermediary and the banks can operate as delegation
monitors. Therefore, the debt contracts are issued by investors to the financial
intermediaries to fund (these consider as bank loans) the borrowers. In contrast, the debt
contracts that issued by the financial intermediaries that they borrow from the investors
(these consider as bank deposits). So the banks seek to exist in order to achieve its role
in addressing symmetric information between a borrower and lender and create the best
selection which would serve to transfer of funds from surplus to deficit units (Matthews
and Thompson, 2005).
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According to Kent Matthews and John Thompson, there are three components which
make the banks are able to introduce their tasks; (1) case of scale economies in the
banks activities, so banks represent a coalition of information sharing; (2) the banks
operate as a delegated monitoring of borrowers that they grant them a loans; and (3) the
banks commit to keep a long-term relationships with consumers. So the banks function
under the asymmetric information problem between borrowers and lenders is providing
a means for that problem to be more improvement via banks intermediate, certainly,
because of the comparative advantage of the banks which use it in process of
monitoring of borrowers, therefore the lenders will incentive to delegate the monitoring.
Delegated Monitoring theory in Islamic banking is represented in Profit Loss Sharing
(PLS) mode, so the asymmetric information problem between Islamic bank and the
counterparty (Mudarib or Musharek) could be occurred when the bank faces an absence
of sufficient information about the actual profits of that counterparty. Also the
asymmetric information problem could be occurred in non-PLS mode such as
Murabahah, in the event of an occurrence of an external event such as systematic
sources that caused non-performing of a trading partner, thereby, credit risk arises in
Islamic bank (Khan and Ahmed, 2001).
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2.2 PAST STUDIES
Many studies mentioned that the financial risk is one of the most important challenges,
which faces Islamic banking. And Islamic banks are affected by many issues related to
this risk. And according to Dr. Seyed Nezamuddin Makiyan, risk management in
Islamic banking is still not effective enough to face the major challenges of financial
risk, and it needs many issues to be understanding better to access to innovative and
appropriate solutions to reflect the attributes of financial products of Islamic banking.
So the Islamic permissible modes of financing whether Profit loss Sharing (PLS) such
as Mudarabah or non-PLS (e.g. Murabahah) need many measurements of risk to be
available such as income recognition, adequacy of collateral. (Makiyan, 2008).
2.2.1 A comparison between Islamic and conventional banking concerning risks
Table 2.1 Risk Sharing and Risk Transfe 1
Islamic bank considers sharing its risks and returns via its instruments, and using Profit
Sharing Investment Account (PSIA) to fund itself. Islamic bank tries to achieve high
Source: Hasan and Dridi, 2010.
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rates of performance, to outcome the returns on its products and services, because
returns for investors is not guaranteed.
Also, Islamic bank uses its instrument for funding investors, and shares with them risks
and returns as well. Unlike conventional bank which swaps guarantee returns and/or
transfer risks (Hasan and Dridi, 2010). Table 2.1 shows the differences between Islamic
and conventional banks in term of risk sharing and risk transfer.
Wael Moustafa Hassan found that there are differences between Islamic banks and
conventional banks regarding some explanatory variables, nonetheless Islamic banks
have different attributes of risk. And he cited three factors as a combination of total risk
in Islamic banks (1) risk arises from Shariah compliant as a new classification of
deposit holder, (2) replacing the interest rate by profit sharing, and (3) converting the
loans into capital participation to firms. And these loans will increase the risk faced by
Islamic banking. Actually, that means there are significant differences between Islamic
banks and conventional banks concerning many issues related to face the risk (e.g. risk
analysis, practices of risk management, risk monitoring and credit risk analysis). But
there is no significant difference concerning risk identification (Hassan, 2011).
According to Dr. Seyed Nezamuddin Makiyan the risk management in Islamic products
such as PLS modes is more complex than conventional financing. Because these modes
under shariah principles, so they have many activities that not apply by conventional
banks. In addition to determinant of PLS ratios that depends on various sectors
according to investment projects. And credit risk in Islamic banks will be increased
because PLS financing modes cannot logically be made with requirement collateral or
other guarantees to minimize this risk In Islamic finance. Also cannot logically control
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their entrepreneur that manages the enterprise via Mudarabah mode and Islamic bank
that funds him, just shares profit or loss. But has better opportunities in Musharakah
contacts, Islamic bank can monitor investments of the entrepreneur. Because, both of
the partners may affect on the business and they use rights of the voting (Makiyan,
2008).
Dr. Makiyan also indicate to three general factors that make the operations of Islamic
banks riskier and less profitable than conventional banks and there are (1) absence of
the money markets or underdeveloped, (2) limitation of beneficial from LOLR (lender-
of - last resort), that is facilities by central bank, and (3) limited market infrastructure
and the lack of legal framework can raise the operational risk of the Islamic bank.
2.2.2 Impact of GFC on GCC countriesIslamic banks
The recent Global Financial Crisis (GFC) that happened in the end of 2008, and
according to Zafar Iqbal, the end of 2008 witnessed three major crises (energy, food,
and the global financial and economic crises) and there is no country has escaped from
the impacts of these crises, whether developing or developed. The financial turbulence
covered wide regions included GCC with relatively to more developed countries and
Sub-Saharan Africa SSA14 with relatively to less developed countries. With regard to
GCC countries the UAE, Saudi Arabia, and Kuwait have the largest share of the GCC
foreign asset holdings. So they were concerned about the values of their assets might be
(14) Sub-Saharan Africa includes Benin, Burkina Faso, Cameroon, Chad, Comoros, Cte dIvoire, Djibouti, Gabon, Gambia,
Guinea, Guinea-Bissau, Mali, Mauritania, Mozambique, Niger, Nigeria, Senegal, Sierra Leone, Somalia, Sudan, Togo, and Uganda.
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depreciation, and then depend on the reduction oil revenues, because of the sharp
impact of the crisis in those countries which were demand the gulf oil.
Actually, rising cost of financing and moving GCC conventional banks to credit market
which (had risen because of increasing demand of liquidity to refinance) and littleness
liquidity in the market, in addition to depreciation values of their assets, all of these
make a systematic threats regarding to banking sector in GCC countries during the
GFC. But Islamic banks of GCC countries, remained insulated from the first impact of
the crisis because of their debt instruments and prohibition of speculative activities that
Islamic shariah (Islamic law) adopted. However, they were impacted by the global
economic recession which has accompanied the global crisis and happened in 2009,
supposedly the year to raise the credit risk and would reduce the credit by businesses
because of the low liquidity which accompanied the GFC events across the developing
countries (Iqbal, 2008).
Islamic banks were less affected by the initial impact of GFC, but during 2009 and
exactly on mid-year 2009, which called as the second-round effects of this crisis,
witnessed some declines in their profitability in some GCC countries. The results by
International Monetary Fund are showed in table 2.2. Islamic banks seem to withstand
adverse the crises, as known they are not allowed to exposure to financial derivates and
the conventional securities of financial institutions which they were most risky,
However, there is a slightly difference between the GCC countries in exposure to risky
asset15.
(15) International Monetary Fund, 2010
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Table 2.2 Indicators for Islamic banks 2 1
According to Maher Hasan and Jemma Dridi (2010), that their analysis which covered
both types of banks in many countries, it suggested that Islamic banks (clearly, mostly
of them in GCC countries) have been affected by the crisis differently than
conventional banks. In fact the decline in profitability of some Islamic banks in 2008, as
result to weakness the practices of risk management compared to end of 2008. But
generally, credit and asset growth in Islamic banks performed better than conventional
banks in 2008-2009.
Dr. Nabil Hashad16indicated to efforts of Basel II committee on banking supervision,
for Islamic banks and challenges facing them such as GFCs, and implements Basel II to
increase capital to cover credit risk and other risks related to capital adequacy.
Actually, most of Islamic banks in Islamic and Arab countries still do not have
developed risk management and there is no integration system for this management. So
(16) Director of Arab Centre for Financial and Banking Studies and Consulting
Source: International Monetary Fund, 2010.
Note: the figures in percent.
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it considers insufficient and adequate to implement Basel II which also considers most
important challenge should be taken in account, and many banks in those countries
needed to complete its Infrastructures and required to restructuring to be consistent with
Basel II, and then achieving more efficient concerning mitigating many risks which
related to capital adequacy, particular credit risk which expected to be aggravated in
GFCs (Kahf, 2005).
2.2.3 Past Studies of Islamic Banks Credit
Risk
Iqbal, Munawar, Ausaf Ahmad and Tariqullah Khan (1998), present evidence in their
study which consists of most of Islamic bank in GCC countries that Islamic bank use
both fixed return modes and variable return modes. Even though, Profit Loss Sharing
(PLS) modes are preferable but the share of (PLS) in the total financing is very less than
share of Non-PLS modes especially Murabahah mode. So there is no balance between
two modes, actually this occurs due to avoid the credit risk that more involve to the PLS
modes.
Khan and Ahmed (2001), defined credit risk as a failure of the counterparty to meet
bank obligations according the agreed terms, and would be arising in Islamic bank as a
form of settlement/payment risk when the bank pay money before receive the assets
(e.g. Salam or Istisna) or deliver assets before receive the cash (e.g. Murabahah
contract).
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Certainly, these represent Non-PLS modes and will be exposure to credit risk as shown
in table 2.3. Furthermore, they consider the PLS modes or M-M financing which
described more risky and minimal in practise, exposure to asymmetric information
problem which makes the profit of the trading partner is indeterminate, in addition to
absence the requirement collateral such these modes. Hence, the bank will faced very
high credit risk involved.
Table 2.3 credit risk in different mode 1
Also they opined about the diversification of granting loans as a portfolio. They
mentioned that this way should be taken as a considering by the credit risk management
to minimizing the unsystematic risk and trying transferring the systematic risks.
Abul Hassan searched about extent implementation of techniques and practices of risk
management in Islamic banks of Brunei Darussalam, and this country seems not much
unlike GCC countries, have slightly sufficient liquidity as appeared in his results.
Actually, the study covered the main techniques that risk management adopted in
Bruneis Islamic banks; such as understanding risk, risk assessment, risk identification,
Source: Khan and Ahmed, 2001.
Note: The numbers between brackets represent the number of respondents.
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risk monitoring, and credit risk analysis. Abul Hassan found that the credit risk which
facing by Islamic banking system is represent the most important risk after foreign
exchange risk that encounters Islamic banks of Brunei as well, as shown in table 2.4.
Table 2.4 Types of Risks in Islamic Ban 1
According to Thiagarajan, et al. 2011, showed in their result for finding determinants of
credit risk in the banks of Indian economy, that the lagged Non-Performing Assets
(NPA) positive influence on the current NPA and there is a relationship between credit
risk and GDP, they described it as a significant inverse relationship. Thus, the GDP
growth is helping the banking system there in having their Non-Performing Loans
(NPLs) at an acceptable level. In fact, both macroeconomic factors and specific factors
of banks play an important role in determining the credit risk of the both banking
system.
Ahmed, et al. 2011, stated in their regression results, that the credit risk is a highly
affected by the size of the bank, capital adequacy and debt equity ratio and found a
Source: Abul Hassan, 2009.
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positive and significant relationship statistically with credit risk at 5 percent, 5 percent
and 1 percent level respectively. Thus the asset management established is a significant
negatively relationship with credit risk at 5 percent level. Therefore all explanatory
variables affected on credit risk. It is worth mentioning, that they found, statistically,
insignificant relationship between NPLs and credit risk, however their regression results
reported a relation but it is insignificant statistically.
Ahmad and Ariff, 2007, searched across two type of conventional banking system,
banks in emerging economies compared with their counterparts in several developed
countries. Thus, they found the factors which are significant relevant to credit risk,
whither in emerging economies banks or developed. Regulatory Capital (REGCAP), as
known banks would be increase the capital to adequate absorbing any losses potential,
so the capital is significantly positively relevant to credit risk. However, their results
suggest that some countries under capitalized still face more risks, that mean the
relationship is significantly negatively related to credit risk. Management Quality
(MGT) which a ratio calculated by (earning assets to total assets), and it seems
significantly positive relevant to credit risk for a country who has higher earning assets.
And Loan Loss Provision to total loans (LLP) ratio has a significantly positively
relevant to credit risk. While there in an insignificantly relationship between leverage
(LEV) and credit risk.
Ahmad and Ariff, 2007, use the Non-performing loans NPLs or bad loans as a measure
for credit risk and also they highlighted that emerging economy banks have a higher
credit risk than their counterparts in developed economies. Therefore, GCC countries
classified as emerging economies, so the banking system facing higher credit risk.
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Das and Ghosh, 2007, examine both macroeconomic and microeconomic factors that
affect on credit risk of Indian banking sector as an emerging economy, with advanced
data analysis techniques, and the studys period from 1994 to 2005. Generally, the
results show that, real loan growth, GDP growth and at the bank level, bank size, real
interest rate and operating expenses, have the main role in determine credit risk. And
their effects respectively are significantly mixed, statistical significance negatively,
statistical significance positively, significantly positively and also significantly
positively. Actually, they employ NPLs instead credit risk as a proxy for dependent
variable.
The study of Khemraj and Pasha 2010, to ascertain NPLs determinants in the Guyanese
banking system for period from 1994 to 2004, and their results show that GDP growth
is significantly inversely related to NPLs and the effective exchange rate has an impact
on NPLs positively. They also found that the real interest rate has a significantly
positively related to NPLs, thus inflation (INF) and growth in loans. However, the size
of bank found as mixed positive and negative, and ratio of loans to total asset (LTA)
was a negative related to NPLs.
According to study of Dahduli, 2010, that the credit crunch has effects differently as
appears between the GCCs Islamic banks and their counterpart, and the period from
2000 to 2008. He studied measures of credit risk, liquidity, efficiency, and profitability
and then made comparison. In terms of measuring credit risk, he used three variables
(1) Equity to Total Assets (ETA), (2) Equity to Net Loans (EQL), and (3)Total
Impaired Loans to Gross Loans (ImLGL). He found that both EQL and ETA high ratios
which imply a superior credit risk level for Islamic banks in GCC countries than their
conventional banks.
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and 34 percent respectively, and this denote that the combined impact of these variables
is stronger on conventional bankscredit risk than Islamic banks credit risk.
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CHAPTER THREE
METHODOLOGY
3.1 INTRODUCTION
This chapter will describe the study design, research sample, method of data collection
and all procedures related to method of data analysis. The main questions that guided
the study are restated as follows: What are the variables which influence credit risk?
What is the impact of GFC on the credit risk? All questions apply for Islamic banks in
the GCC countries. If these variables identified, the management of credit risk in
Islamic banks will manage these variables in order to mitigate risk for Islamic banking
services and improve the credit risk management. These variables are selected
according to several literatures, and will be explained in this chapter, all the
measurements of variables, the model, framework and the hypotheses development of
all variables of the study.
3.2 THEORETICAL FRAMEWORK AND MODEL
This section will explain the modelling of the variables that determined NPLs (Non-
performing loans) the dependent variable. NPL represents a proxy for the credit risk.
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And LNTA (natural log of total assets), MGTEFF (management efficiency), REGCAP
(regulatory capital), L/D (proportion of loan to deposit), RSKAST (risky asset which is
real state asset in GCC countries according to the published reports17) and LLP (loan
loss provision), these variables will represent internal independent variables, Ahmad
and Nizam, (2004). While GDP (gross domestic product), INF (inflation rate) and
LIBOR (Landon inter-banks offered rate that usually Islamic bank in GCC countries
linked its profit margin with that ratio) these variables will represent external
independent variables.
(17) GCCs central banks reports, and KAMCO and MEED Researches - Kuwait
Figure 3.1 conceptual framework
EXTERNAL VARIABLES
- GDP
- INF
- LIBOR
INTERNAL VARIABLES
- LNTA
- MGTEFF
- REGCAP
- L/D
- RSKAST
- LLP
NPLs
INDEPENDENT
VARIABLESDEPENDENT
VARIABLE
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3.3 HYPOTHESES DEVELOPMENT
The main investigation of this thesis is identifying some variables that impact on credit
risk, these variables into two categorise one of them is a specific variables of banking
and the other is a macroeconomic factor. Both have a significant impact on credit risk
according to literature.
Hypotheses testing for external independent variables starting with GDP which
represents macroeconomic performance that being booms or depressions will effect on
banks credit risk.Actually, the higher GDP means improving economy through getting
a boom, thus the individual and institutions will be able to pay and refinance again.
Therefore, the NPL will trend to be lower and then lower credit risk of Islamic bank. On
the other hand, in the depressions case the Islamic banks will be exposure to credit risk,
Al-smadi, (2010). And the hypothesis will be as followed:
H1: There is a negative relati onship between GDP and credit r isk in I slami c banks of
GCC countr ies.
Second hypothesis for test another variable which was statistically significant in the
literature, (Khemraj and Pasha, 2010; Al-smadi, 2010), inflation rate one of the
important factor that cased high costs of setting up projects which are established by
funding of Islamic banks. Actually, INF depends on the CPI, thus increasing in CPI that
means rising prices in the market, this will lead the investors - who invested by banking
financing - to find difficulty to meet debt payments on time to Islamic banks because of
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prices rising. Therefore, the banks will be exposure to credit risk of Islamic banks, and
inflation rate hypothesis will be as followed:
H2: There is a positi ve relati onship between inf lati on rate and credit r isk in I slamic
banks of GCC countr ies.
Third hypothesis for test another external variable which considers as a replacement of
interest rate that dealing between banks interest based, and its determined by central
banks of these countries. But Islamic banks link their profit rate with LIBOR (Landon
inter-banks offered rate). So LIBOR will be used as a marginal profit for Islamic bank
contracts (usually for Islamic sukuk) to compensate or to be instead of the rate of Profit
sharing which is depended by Islamic banks contracts.
H3: There is a positive relati onshi p between L IBOR and credi t ri sk in I slami c banks
of GCC countr ies.
Many of specific banking variables mentioned in the literature for example in Ahmed
andNizam, 2004; Ahmed and Ariff, (2007); Das and Ghosh, (2007). Actually, largest
Islamic banks will select good institutions and investors to fund them, and they have an
ability to meet their obligation on time. Thus, this reveals that large Islamic banks are
safer than small Islamic banks and give lower credit risk of Islamic banks. So, the
hypotheses testing for internal independent variables will start with the size of the bank
(LNTA), as followed:
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H4: There is a negative relati onship between size of I slamic bank and credit r isk in
I slamic banks of GCC countr ies.
Second hypothesis for test another internal independent variables that is management
efficiency which has a significant effect on credit risk according to previous studies.
Actually, increasing efficiency of management will lead to mitigate impairment
financing and doubtful debts, achieving a decrease in credit risk in Islamic banks. This
management may not be a credit risk management, but the assets management in
Islamic bank.
H5: There is a negative relati onship between management eff iciency of I slamic bank
and credit r isk in I slamic banks of GCC countr ies.
Another hypothesis for the regulatory capital and increasing in regulatory capital will
increase credit risk of Islamic banks of Islamic banks. However, will decrease it credit
risk of conventional banks according to Ahmed and Nizam, (2004), and hypothesis is
tested as followed:
H6: There is a positive relati onship between r egulatory capital of I slamic bank and
credit r isk in I slamic banks of GCC countri es.
The proportion of loan to deposit has an effect on credit risk according to literature,
Ahmed andNizam, (2004). Actually, increasing proportion of loan to deposit reveals to
rise in the impairment financing in Islamic bank and then higher credit risk exposure.
Therefore, hypothesis of this as followed:
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H7: There is a positi ve relationship between proportion of loan to deposit and credit
ri sk in I slamic banks of GCC countr ies.
The real estate is considered as a risky asset which has an impact on credit risk, and
actually that more investing in this asset which described as risky, will lead to higher
credit risk in Islamic banks in GCC countries, and its hypothesis is as followed:
H8: There is a positi ve relationship between the risky asset and credit r isk in I slamic
banks of GCC countr ies.
The loan quality or loan loss provision has an impact on credit risk, Ahmed and Nizam,
2004. Actually if Islamic banks supportmore provision for loan losses, this trend will
reveal to lower credit risk in Islamic banks of GCC countries. Therefore, the last
hypothesis will be:
H9: There is a negative relati onship between the loan l oss provision and credit r isk in
I slamic banks of GCC countr ies.
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3.4.2 The Independent Variables
3.4.2.1 The external Independent Variables
This study has two types of independent variables (external and specific banking
variables) and the external variables are the macroeconomic factors and they are found
as a figure or ratio form in the macroeconomic annual reports. Thus easing the burden
of measuring these variables by the researchers, however, sometimes researcher can
measure some variables in few cases for example for GDP, they use this
equation: GDP = C + I + (X - M) + G. where C: Consumption, I: Investments, X:
Exports, M: Imports and G: Governments expenditure. And they are taken annually,
therefore will take increasing or decreasing of GDP between two years as a growth.
And regarding inflation rate they use Consumer Price Index (CPI) and INF rate equal
the rate of change of CPI and taken as the annual basis.
3.4.2.2 The internal Independent Variables
As for the specific banking independent variables, they are measured in this study
following the past studies measurements. As found in the previous studies, the Size of
bank (LNTA) is measured as follows:
( )
Management efficiency (MGTEFF)variable:
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Regulatory capital (REGCAP) variable:
The proportion of loan to deposit (L/D) variable:
()
Risky asset (RSKAST) variable:
Loan loss provision (LLP) variable:
()
The word of financing beside loan, means that belong Islamic banking based on Profit
Loss Sharing Modes, this is different from the loan which is based on interest rate in
conventional banking.
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sites. However, there were some unavailability of data in some reports and few figures
obtained from another reports or sites, sometimes because of transformation of the
banks from conventional to Islamic banks and newly established banks. Also type of
data of the study was taken in cross sectional form, and it consisted of 125 observations
(N=125).
3.6 MODEL OF THE STUDY
Regression model was used to test variables affected on credit risk. According to past
studies as Das and Ghosh, (2007); Ahmed and Ariff, (2007). There are 10 variables in
this study that determine credit risk of banks by applying linear regression analysis.
And the test model was mathematically written in following form:
Where:
CRit: Non-Performing Loan (PLNs) for bank (i) in year (t).
: Constant coefficient.
GDPit: Gross Domestic Product for the country (i) in year (t).
INFit: Inflation rate for the country (i) in year (t).
LIBORt: London Inter-Bank Offered Rate in year (t).
LNTAit: Natural Log of Total Assets for bank (i) in year (t).
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MGTEFFit: Management Efficiency for bank (i) in year (t).
REGCAPit: Regulatory Capital for bank (i) in year (t).
L/Dit: Proportion of Loan to Deposit for bank (i) in year (t).
RSKASTit: Risky Asset for bank (i) in year (t).
LLPit: Loan Loss Provision for bank (i) in year (t).
Term of the Random Error
: The Slope Coefficient.
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CHAPTER FOUR
ANALYSIS OF FINDINGS
4.1 INTRODUCTION
This chapter will describe the main findings of the study, after complete whole
procedures of data collection and analysis. The final results of the analysis of factors or
variables that determining credit risk of GCCs Islamicbanks, the variables which have
impact on credit risk, and then manage them under the management of credit risk, in
order to improve this management in GCCs Islamic banks.
Actually, the finding of this study may converge with the results of previous studies as
will be presented in this chapter. For example, this study found three specific bank
variables which are significantly related to their credit risk. They are MGTEFF,
RSKAST, and L/D, and one from three macroeconomic variables added that is GDP,
which is found as significantly related to credit risk of Islamic banking. Thus, this study
tries to be closed to past studies but not perfectly the same. Accordingly, the difference
is due to several features enjoyed by GCC states, such as strategic position, banking
system, economy and oil sector.
As known that all these GCC countries are one of the largest oil exporters in the world,
and they have economies rely on oils revenues primarily. Therefore, some of the
expected results may be differed than the results of literature which applied on another
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region, for example MENA20 countries, India or Malaysia. Thus, some of expected
results will be different than what is known in the past studies that were reviewed.
Ahmad and Ariff, (2007), presented their findings for conventional banking system, in
two types of economies to make comparison between banks in emerging economies and
developed countries. That means the economies play some role to impact banking
system, in addition to the differences on the variables impact to Islamic and
conventional banks in the same country.
So, Islamic banks have some variables which appear to be more similar. According to
Ahmed and Nizam, (2004), the three variables were more related to their credit risk (i.e.
MGT, RWA and LNTA) than others that more related to credit risk of conventional
banking (i.e. RSEC, REGCAP, LLP and RWA). Ahmed and Nizam, 2004s study was
applied to find some variables impact on credit risk of both banking system in
Malaysia, and also they presented some similarities and differences. Thence, extremely,
it is found some of expected results differed between conventional banks and Islamic
banks in the same country.
9 variables were tested in thus study to survey their influence on Non-Performing Loan
(NPL). This period (2006 - 2010) was selected to cover also the impacts of the GFC
(Global Financial Crisis) that got worsened in 2008, this slightly affected on the
expected results during the crisis period and in few countries, this helps to demonstrate
the relationship between used variables in different level of performance of economy
across the period for each country of GCC.
(20) Medal East and North Africa countries.
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4.2 EMPIRICAL RESULTS
4.2.1 Impacts of GFC: Credit Risk and the External Independent Variables.
The results in this study was affected slightly by the crisis that worsened in 2008, it is
noticed that GDP for GCC countries became negative in Kuwait and UAE in 2008, and
very low in others. Qatar achieved the highest GDP which reached to more than 25
percent in 2007; however, it dropped to its lowest level in 2009, and then became
improved in 2010, that actually due to a decrease in oil prices that happened in 2009,
and this lead to decrease GDP. According to Saif, (2009) and Iqbal, (2008) oil sector
contributes about 90 percent of some GCC governments revenues and 50 percent of
the GDP. And according to national central banks, some countries tended to
compensate the decline from using the surpluses of previous years in closing the budget
deficit.
Also, some of the reports that issued in this regard21, describes that the average growth
rates of real GDP in GCC countries during the period 2005 - 2008 amounted to
about 6.6 percent, was recorded at 6.8 percent in 2005, falling to 6.1 percent in
20