Part II Commercial Banking, 7 Credit Risk

2018 ◽  
Author(s):  
Gleeson Simon
Keyword(s):  
Credit Risk ◽  
Commercial Banking ◽  
Expected Loss ◽  
Financial Transactions

This chapter discusses the concept of credit risk. Of all the risks that banks are exposed to, credit risk is the most important and the most intuitively obvious. It is important to remember that credit means more than simply loans. At the heart of financial transactions are credit exposures. For an economist, the function of a bank is maturity transformation and intertemporal transfers of resources. But in a world where debts were always repaid, these functions would be as mechanical as the transmission of water or electricity. It is the unpredictability of credit that differentiates banking from other businesses. The remainder of the chapter covers risk weighting of assets, valuation of exposures, and provisioning and expected loss.

CREDIT RISK AND COMMERCIAL BANKS’ PERFORMANCE IN NIGERIA: A PANEL MODEL APPROACH

2012 ◽  
Vol 02 (02) ◽  
pp. 31-38 ◽  
Author(s):  
KOLAPO T. Funso ◽  
AYENI R. Kolade ◽  
OKE M. Ojo
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Commercial Banking ◽  
Loan Loss ◽  
Return On Assets ◽  
Cross Sectional ◽  
Loan Loss Provision ◽  
Panel Model ◽  
Percent Increase ◽  
Credit Analysis

The study carried out an empirical investigation into the quantitative effect of credit risk on the performance of commercial banks in Nigeria over the period of 11 years (2000-2010). Five commercial banking firms were selected on a cross sectional basis for eleven years. The traditional profit theory was employed to formulate profit, measured by Return on Asset (ROA), as a function of the ratio of Non-performing loan to loan & Advances (NPL/LA), ratio of Total loan & Advances to Total deposit (LA/TD) and the ratio of loan loss provision to classified loans (LLP/CL) as measures of credit risk. Panel model analysis was used to estimate the determinants of the profit function. The results showed that the effect of credit risk on bank performance measured by the Return on Assets of banks is cross-sectional invariant. That is the effect is similar across banks in Nigeria, though the degree to which individual banks are affected is not captured by the method of analysis employed in the study. A 100 percent increase in non-performing loan reduces profitability (ROA) by about 6.2 percent, a 100 percent increase in loan loss provision also reduces profitability by about 0.65percent while a 100 percent increase in total loan and advances increase profitability by about 9.6 percent. Based on our findings, it is recommended that banks in Nigeria should enhance their capacity in credit analysis and loan administration while the regulatory authority should pay more attention to banks’ compliance to relevant provisions of the Bank and other Financial Institutions Act (1999) and prudential guidelines.

scholarly journals The impact of risk factors on the financial performance of the commercial banking sector in Barbados

2018 ◽  
Vol 7 (1) ◽  
pp. 76-93 ◽  
Author(s):  
Anthony Wood ◽  
Shanise McConney
Keyword(s):  
Risk Factors ◽  
Credit Risk ◽  
Financial Performance ◽  
Banking Sector ◽  
Negative Impact ◽  
Interest Rate Risk ◽  
Commercial Banking ◽  
Country Risk ◽  
Risk Variable ◽  
The Impact

The objective of this paper is to determine the impact of risk factors on the financial performance of the commercial banking sector in Barbados using quarterly data for the period 2000 to 2015. The empirical results indicate that Capital Risk, Credit Risk, Liquidity Risk, Interest Rate Risk and Operational Risk have statistically significant impacts on financial performance. The only risk variable which does not derive this result is Country Risk. In addition, of those variables which proxy external factors, only GDP Growth has a statistically insignificant influence on financial performance. Credit risk exerted a negative impact on the banks’ financial performance, thus the banks must ensure they adopt appropriate measures to minimise the impact of this risk. Higher levels of capital impacted positively on the banking sector’s profitability. This paper is the first effort employing such an extensive dataset based on Barbados’ commercial banking sector and shows the main factors that influence commercial banks’ financial performance in this developing economy.

Part II Commercial Banking, 8 The Standardized Approach

2018 ◽  
Author(s):  
Gleeson Simon
Keyword(s):  
High Risk ◽  
Credit Risk ◽  
Financial Institutions ◽  
Risk Mitigation ◽  
Balance Sheet ◽  
Commercial Banking ◽  
Short Term ◽  
Multilateral Development Banks ◽  
Rating Agencies

This chapter focuses on the standardized approach, which is the bedrock of the Basel system. Although many of the largest banks are internal ratings-based banks, there is probably no bank currently existing which does not use some elements of the standardized approach as part of its overall capital calculation. The discussions cover classification of exposures, credit conversion factors, and credit risk mitigation; ratings and rating agencies; exposures to sovereigns; multilateral development banks; exposures to banks and financial institutions; exposures to corporates; exposures to retail customers; commercial mortgage exposures; overdue undefaulted exposures; high-risk exposures; covered bonds; securitization exposures; short-term claims on financial institutions and corporates; fund exposures: and off-balance sheet items.

ON THE CREDIT RISK OF SECURED LOANS WITH MAXIMUM LOAN-TO-VALUE COVENANTS

2014 ◽  
Vol 17 (08) ◽  
pp. 1450055
Author(s):  
Fabian Astic ◽  
Agnès Tourin
Keyword(s):  
Differential Equation ◽  
Credit Risk ◽  
Value Function ◽  
Expected Loss ◽  
Trade Off ◽  
Closed Form Solutions ◽  
Control Techniques ◽  
Lending Policy ◽  
Lending Decisions ◽  
The Value Function

We propose a framework for analyzing the credit risk of secured loans with maximum loan-to-value covenants. Here, we do not assume that the collateral can be liquidated as soon as the maximum loan-to-value is breached. Closed-form solutions for the expected loss are obtained for nonrevolving loans. In the revolving case, we introduce a minimization problem with an objective function parameterized by a risk reluctance coefficient, capturing the trade-off between minimizing the expected loss incurred in the event of liquidation and maximizing the interest gain. Using stochastic control techniques, we derive the partial integro-differential equation satisfied by the value function, and solve it numerically with a finite difference scheme. The experimental results and their comparison with a standard loan-to-value-based lending policy suggest that stricter lending decisions would benefit the lender.

scholarly journals The Threats of Unsystematic Risks in Jordanian Commercial Banking Sector

2017 ◽  
Vol 9 (9) ◽  
pp. 175
Author(s):  
Ghaith N. Al-Eitan ◽  
Ismail Y. Yamin
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Fixed Effect Model ◽  
Commercial Banking ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Effect Model ◽  
The Impact ◽  
The Empirical Analysis

The objective of this study is to empirically examine the effect of unsystematic risks on the performance of commercial banks in Jordan, using panel data for the period of 10 years (2005-2015). The study uses earning per share and dividends as dependent variables to represent Banks’ performance. The empirical analysis based on the fixed effect model selected on the basis of Hausman test. The results indicate that the impact of Non-performing loans on commercial banks’ dividends is positive and significant while the impact of capital adequacy is negative and statistically significant on dividends. The results indicate that the credit risk, liquidity risk, non-performing loan and capital adequacy have significant effect on earnings per share and the effects are negative as expected. Based on the study it is recommended that the Jordanian commercial banks needs enhance the process of credit risk management to determine loan defaulter and impose the appropriate legal action against them.

scholarly journals Analysis of The Effect of Capital, Credit Risk, and Liquidity Risk on Profitability in Banks

2018 ◽  
Vol 10 (2) ◽  
pp. 44 ◽  
Author(s):  
Antyo Pracoyo ◽  
Aulia Imani
Keyword(s):  
Credit Risk ◽  
Liquidity Risk ◽  
Commercial Banking ◽  
Capital Adequacy ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Capital Adequacy Ratio ◽  
Data Regression ◽  
Independent Variable

This research aims to analyze the influence of bank-specific component to profitability of banking industry within the classification of commercial banking category 3 (Bank Umum Kegiatan Usaha 3, classification based on Central Bank of Indonesia) in the period of 2011 until 2015. The number of sample for this research are 8 banks or Bank Devisa. Independent variable used for this research are based on the ratio of banks. There are Capital measured by Capital Adequacy Ratio, Credit Risk measured by Non Performing Loan, and Liquidity Risk measured by Loan to Deposit Ratio. While dependent variable Profitability measured by Return On Assets. This research analyzed using Eviews 7 program for Panel Data Regression. The result of this research shows that Capital and Liquidity Risk has insignificance effect to Profitability. Meanwhile, Credit Risk has significant effect to Profitability

Part II Commercial Banking, 9 Model-Based Approaches to Risk Weighting

2018 ◽  
Author(s):  
Gleeson Simon
Keyword(s):  
Value At Risk ◽  
Risk Model ◽  
Financial Institution ◽  
Capital Requirements ◽  
Commercial Banking ◽  
Bank Failure ◽  
Capital Requirement ◽  
Expected Loss ◽  
Loss Experience ◽  
Actual Loss

This chapter discusses the Basel risk model. Every financial institution expects to suffer some level of default. Consequently, all properly run banks make provisions for some level of default on their existing assets. This is known as expected loss. At some points losses will be lower than those expected, and at some points they will be higher. The task of the regulator is to set a capital requirement which just skims the top of the actual loss experience curve. If the capital requirement is set significantly higher than this, then banks will be penalized by being required to hold excessive capital, if it is set lower, then the risk of bank failure increases. The remainder of the chapter covers Value at Risk and the Basel framework; the basic Basel formula; specific amendments for different classes; translating between capital requirements and risk weightings; illustrative risk weights; and variations in credit risk weightings between firms.

scholarly journals The Impact of Business Scale of “Shadow Banking” on Credit Risk of Commercial Banks --Take Ten Domestic Listed Commercial Banks as Examples

2017 ◽  
Vol 9 (5) ◽  
pp. 94 ◽  
Author(s):  
Sijia Wen ◽  
Jishan Ma ◽  
Yawen Pan ◽  
Yuan Qi ◽  
Ruizhi Xiong
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Balance Sheet ◽  
Commercial Banking ◽  
Shadow Banking ◽  
Financial Products ◽  
Banking Business ◽  
The Government ◽  
Definition Of ◽  
The Impact

In this article, according to search for the definition of shadow banking, we can make sure the business kinds of “shadow banking”, discuss the influence of business in “shadow banking” on credit risk of commercial banks, and study the elements which may increase the credit risk of commercial banks by using the semi-annual panel data during 2011-2016 of 10 listed banks. Then we can come to some primary conclusions: The credit risk of commercial banks is related to the shadow banking business. All the survival scale increment of financial products increasing, the size of entrusted loans increasing in increment, and the increasing in the size of guarantee commitments will increase the credit risk of commercial banks. There is no obvious relationship between trust loan business and bank credit risk. Our study is of great significance for the government to supervise the off-balance-sheet business of commercial banks. At the same time, it also fills the vacancy of domestic commercial banking “shadow banking” business empirical research.

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