The impact of capital operation of commercial banks on risk management —— taking China construction bank as an example

2018 ◽  
Vol 21 (2) ◽  
pp. 465-469
Author(s):  
Song-Yan Zhang ◽  
Xiang-Xing Tao ◽  
Yu-Xin Liu
Author(s):  
Peter E. Ayunku ◽  
Akwarandu Uzochukwu

This study examines the impact of credit management on firm performance amidst bad debts, among Nigerian deposit banks. Five hypotheses were formulated following the dependent variables of Return on Asset and Tobin Q. The independent variables employed for this study include: Loan Loss Provision, Loan to Deposit Ratio, Equity to Asset Ratio, and Loan Write off. This study is based on ex-post facto research design and employed a panel data set collected from fourteen (14) commercial banks over six years ranging from 2014 to 2019 financial year. We analyzed the data set using descriptive statistics, correlation and Ordinary Least Square Regression Technique. The random effect models established that non-performing loan, loan loss provision and equity to asset impact significantly on banks’ performance in both Return on Asset and Tobin-Q models. This suggests that the sampled banks need to establish efficient arrangements to deal with credit risk management. In all, credit risk management indicators considered in this research are important variables in explaining the profitability of Nigerian commercial banks. However, based on the outcome from the empirical analysis, the study carefully recommends that investors and shareholders in these banks should be aware of the possible use of provisions for losses on non-performing loans by managers for smoothening of profits. The shareholders specifically should be ready to meet optimal agency costs to reduce the manager's information asymmetry by hiring competent internal and external auditors.


2020 ◽  
Vol 13 (10) ◽  
pp. 228
Author(s):  
Hai Long Pham ◽  
Kevin James Daly

This paper is an attempt to empirically examine the impact of Basel Accord regulatory guidelines on the risk-based capital adequacy regulation and bank risk management of Vietnamese commercial banks. Our research aims to assess how Vietnamese commercial banks manage their capital ratio and bank risk under the latest Basel Accord capital adequacy ratio requirements. Building on previous studies, this research uses a simultaneous equation modeling (SiEM) with three-stage least squares regression (3SLS) to analyze the endogenous relationship between risk-based capital adequacy standards and bank risk management. A year dummy variable (dy2013) is included in the model to take account of changes in the regulation of the Vietnamese banking system. Furthermore, we add a value-at-risk variable developed by as an independent variable into equations of the empirical models. The results reveal a significant impact of Basel capital adequacy regulatory pressure on the risk-based capital adequacy standards and bank risk management of Vietnamese commercial banks. Moreover, banks under the latest Basel capital adequacy regulations are induced to reduce risks and increase banks’ financial performance.


Author(s):  
Rrustem Asllanaj

This study analyses the impact of credit risk management on financial performance of commercial banks in Kosovo, and comparing the relationship between the determinants of credit risk management and financial performance by using CAMEL indicators. Panel data of 85 observations from 2008 to 2012 of ten commercial banks was analysed using multiple regression model. Findings through multiple regression analysis are presented in forms of tables and regression equations. The study also elaborates whether capital adequacy, asset quality, management efficiency, earnings and liquidity have strong or weak relationship with financial performance of commercial banks. The study concludes that CAMEL model can be used as a system of assessment and rating of credit risk management by commercial banks in Kosovo.


Author(s):  
Jamil Salem Al Zaidanin ◽  
Omar Jamil Al Zaidanin

The main purpose of this study is to measure up to what extent the independent factors defined by capital adequacy ratio, non-performing loans ratio, cost-income ratio, liquidity ratio, and loans-to-deposits ratio impact the financial performance of sixteen commercial banks operating in the United Arab Emirates using panel data for the period of 2013-2019. The secondary data was collected from banks and examined by applying standard descriptive statistics and the random effect model for hypothesis testing. It is concluded from the regression outcomes that non-performing loans ratio and cost-income ratio have a significant negative impact on commercial banks profitability in the United Arab Emirates, while capital adequacy ratio, liquidity ratio, and loans -to-deposits ratio all have a very weak positive relationship on the return on assets but they are not determinants of bank’s profitability due to the insignificant statistical impact on it. It is therefore suggested that to enhance financial performance and minimize the risk of non-performing loans in the future, banks must watch very carefully the loans’ performance and analyze thoroughly the clients’ credit history and ability to pay back their debts prior to any approval of loan applications. Furthermore, banks should continuously improve their assets utilization, liquidity, and techniques of managing operating costs, improve the impact of capital adequacy, and the use of deposits for lending activities from a weak positive impact to a significant positive impact on their profitability. The researchers recommend that future studies on credit risk management influence on banks’ financial performance should consider more independent variables and longer periods of study such as twenty or thirty years to have more accuracy and generalized results.  


2019 ◽  
Vol 45 (3) ◽  
pp. 399-412 ◽  
Author(s):  
Sirus Sharifi ◽  
Arunima Haldar ◽  
S.V.D. Nageswara Rao

Purpose The purpose of this paper is to examine the impact of credit risk components on the performance of credit risk management and the growth in non-performing assets (NPAs) of commercial banks in India. Design/methodology/approach The data are obtained from primary and secondary sources. The primary data are collected by administering questionnaire among risk managers of Indian banks. The secondary data on NPAs of Indian banks are from annual reports and Prowess database compiled by the Centre for Monitoring Indian Economy. Multiple linear regression is used to estimate the models for the study. Findings The results suggest that the identification of credit risk significantly affects the credit risk performance. The results are robust as credit risk identification is negatively related to annual growth in NPAs or loans. There is evidence in support of a priori expectation of better credit risk performance of private banks compared to that of government banks. Practical implications The study has implications for Indian banks suffering from a high level of losses due to bad loans. In addition, it will have implications for the implementation of new Basel Accord norms (Basel III) by the Reserve Bank of India. Social implications The high and rising level of NPAs will have adverse consequences for credit flow in the economy in the absence of appropriate intervention by government and central bank in the form of changes in institutional and regulatory infrastructure. The problems in banking and financial services sector will lead to lower industrial and aggregate economic growth, and lower (or negative) growth in employment. Originality/value There is little evidence on credit risk management practices of Indian banks, and its relationship with credit risk performance and NPA growth. The need for an effective risk management system to manage credit risk assumes importance and urgency in the context of high and rising NPAs of Indian banks, and the consequences for the Indian economy.


2020 ◽  
Vol 15 (12) ◽  
pp. 93
Author(s):  
Liyue Wang

Based on the data of China's listed banks from 2010 to 2018, this paper uses panel data model and threshold model to examine the impact of profitability on credit risk of commercial banks. The results show that: (1) After controlling the influence of bank size, the growth rate of net profit is negatively correlated with credit risk; (2) With the same growth rate of net profit, the larger the bank scale, the smaller the credit risk. At the same time, with the decrease of the growth rate of net profit, the influence of bank size on credit risk increases; (3) When the bank scale is large enough, the growth rate of net profit is positively correlated with the credit risk of the bank. This paper discusses the interaction between bank size and profitability and credit risk, which is of guiding significance to banks’ risk management.


Sign in / Sign up

Export Citation Format

Share Document