Abstract:The UK banking industry has steadily moved from the traditional role of financial intermediation and is increasingly relying on non-traditional business activities that generate fee income, dealings profit and other types of noninterest income. Using the dataset of large British Banks for the period 1986-2012, this study investigates the changes in the bank income structure as a result of the 1986 deregulation and tease out the effect that these changes have had in relation to systemic risk. On a micro analysi… Show more
“…Though the non-traditional bank collects non-interest income, the income from this source per se commission, fee and charge are volatile and sensitive to market risk. Competition among traditional banks makes the non-interest income volatile and exposes the bank to systematic risk (Jaffar et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Greater reliance on non-interest income, particularly commission income, is associated with higher systematic risk (Jaffar, Mabwe & Webb, 2014). Because of the high competition among traditional banks, non-interest income of the bank is volatile and exposes the bank to higher systematic risk.…”
Section: Efficiency Of Aircabs To Avoid Risks In An Agent Bankmentioning
confidence: 99%
“…Although interest income is less volatile than non-interest income, the systematic risk associated with non-interest income is higher than interest income (Jaffar et al, 2014).In traditional banking non-interest income exposed the bank to systematic risk. However, interest rate commission is non-volatile which is continues until loan settlement does not expose the bank to systematic risk.…”
mentioning
confidence: 98%
“…Traditional banks that generate interest income increase the efficiency of service rendering at a slower rate. Since there is a positive association between interest and non-interest income, banks are focusing more on non-interest income-generating activities than depending only on traditional interest-based income generating activities (Jaffar et al, 2014). Banks are moving from traditional banking to non-traditional banking activities to avoid credit risks and to collect noninterest income.…”
CHAPTER 1: INTRODUCING AN INTEREST RATE COMMISSION AGENT BANKING SYSTEM (AIRCABS) 4.5. Research participants and sample size 4.6. Sample and sampling method 4.7. AIRCABS process flow model 4.8. Material and methods 4.8.1. Measurement instrument 4.8.1.1. Measurement instruments used to collect primary data by survey questionnaires 4.8.1.2. Measures of continuous data type instruments applied in the models 4.9. Method of analysis 4.9.1. Canonical correlation 4.9.1.1. Canonical Correlation Analysis 4.9.2. Multinomial logistic regression 4.9.2.1. Multinomial logistic regressions analysis 4.9.3. Merging individuals survey respondents' perception with quantitative data analysis result 107 4.10. Chapter summary vii CHAPTER 5: TESTING PERFORMANCE OF AN INTEREST RATE COMMISSION AGENT BANKING SYSTEM (AIRCABS) 5.1. Introduction 5.2. Statistical result and analysis 5.2.1. Validity and reliability of survey instruments 5.2.1.1. The statistical result of individual perception responses on Credit risk and liquidity crunch and AIRCABS survey instruments 5.2.1.2. Factor analysis for validity of credit risk and liquidity crunch and AIRCABS survey questionnaires 5.2.1.3. Measuring investor loan funding and discrete market deposit interest incentive survey instrument using the Kuder-Richardson test 5.2.1.4. Factor analysis for validity of investor loan funding and discrete market deposit interest incentive survey questionnaires 5.3. Canonical correlation statistical result 5.3.1. Level of significance of canonical correlation 5.3.2. The magnitude of canonical correlation 5.3.3. Redundancy measure of share variances 5.3.4. Individual perception of credit risk and liquidity crunch and AIRCABS survey questionnaires 5.4. Statistical result of investor loan funding and discrete market deposit interest rate incentive 5.4.1. Model fitting information 5.4.2. Goodness-of-fit 5.4.3. Pseudo R-Square 5.4.4. Likelihood Ratio Tests viii 5.4.5. Parameter estimates 5.4.6. Classification table 5.4.7. Comparing by chance accuracy with model accuracy rate 5.4.8. Individual perception on investor loan funding and discrete market deposit interest incentive 5.5. Chapter
“…Though the non-traditional bank collects non-interest income, the income from this source per se commission, fee and charge are volatile and sensitive to market risk. Competition among traditional banks makes the non-interest income volatile and exposes the bank to systematic risk (Jaffar et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Greater reliance on non-interest income, particularly commission income, is associated with higher systematic risk (Jaffar, Mabwe & Webb, 2014). Because of the high competition among traditional banks, non-interest income of the bank is volatile and exposes the bank to higher systematic risk.…”
Section: Efficiency Of Aircabs To Avoid Risks In An Agent Bankmentioning
confidence: 99%
“…Although interest income is less volatile than non-interest income, the systematic risk associated with non-interest income is higher than interest income (Jaffar et al, 2014).In traditional banking non-interest income exposed the bank to systematic risk. However, interest rate commission is non-volatile which is continues until loan settlement does not expose the bank to systematic risk.…”
mentioning
confidence: 98%
“…Traditional banks that generate interest income increase the efficiency of service rendering at a slower rate. Since there is a positive association between interest and non-interest income, banks are focusing more on non-interest income-generating activities than depending only on traditional interest-based income generating activities (Jaffar et al, 2014). Banks are moving from traditional banking to non-traditional banking activities to avoid credit risks and to collect noninterest income.…”
CHAPTER 1: INTRODUCING AN INTEREST RATE COMMISSION AGENT BANKING SYSTEM (AIRCABS) 4.5. Research participants and sample size 4.6. Sample and sampling method 4.7. AIRCABS process flow model 4.8. Material and methods 4.8.1. Measurement instrument 4.8.1.1. Measurement instruments used to collect primary data by survey questionnaires 4.8.1.2. Measures of continuous data type instruments applied in the models 4.9. Method of analysis 4.9.1. Canonical correlation 4.9.1.1. Canonical Correlation Analysis 4.9.2. Multinomial logistic regression 4.9.2.1. Multinomial logistic regressions analysis 4.9.3. Merging individuals survey respondents' perception with quantitative data analysis result 107 4.10. Chapter summary vii CHAPTER 5: TESTING PERFORMANCE OF AN INTEREST RATE COMMISSION AGENT BANKING SYSTEM (AIRCABS) 5.1. Introduction 5.2. Statistical result and analysis 5.2.1. Validity and reliability of survey instruments 5.2.1.1. The statistical result of individual perception responses on Credit risk and liquidity crunch and AIRCABS survey instruments 5.2.1.2. Factor analysis for validity of credit risk and liquidity crunch and AIRCABS survey questionnaires 5.2.1.3. Measuring investor loan funding and discrete market deposit interest incentive survey instrument using the Kuder-Richardson test 5.2.1.4. Factor analysis for validity of investor loan funding and discrete market deposit interest incentive survey questionnaires 5.3. Canonical correlation statistical result 5.3.1. Level of significance of canonical correlation 5.3.2. The magnitude of canonical correlation 5.3.3. Redundancy measure of share variances 5.3.4. Individual perception of credit risk and liquidity crunch and AIRCABS survey questionnaires 5.4. Statistical result of investor loan funding and discrete market deposit interest rate incentive 5.4.1. Model fitting information 5.4.2. Goodness-of-fit 5.4.3. Pseudo R-Square 5.4.4. Likelihood Ratio Tests viii 5.4.5. Parameter estimates 5.4.6. Classification table 5.4.7. Comparing by chance accuracy with model accuracy rate 5.4.8. Individual perception on investor loan funding and discrete market deposit interest incentive 5.5. Chapter
“…In traditional banking activities, banks are limited to buy deposit from clients to sell it to an entrepreneur at the credit price, whereas, in non-traditional banking activities banks are involved in selling their service to their client according to terms and tariff of the bank. Though interest income is non-volatile than non-interest income, the systematic risk associated with non-interest income is higher than interest income [23].…”
Section: Transferring Credit Risk To Investor and Entrepreneur To Solmentioning
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