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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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    iii

    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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    iv

    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