The World's Oldest Profession - Now and Then

2017 ◽  
pp. 78-89
Author(s):  
Steven A. Cinelli
Keyword(s):  
Risk Management ◽  
21St Century ◽  
Commercial Banks ◽  
New Technologies ◽  
Commercial Banking ◽  
Portfolio Performance ◽  
Renaissance Period ◽  
New Entrants ◽  
Strategic Imperative

Modern banking found its roots during the Renaissance period casted by the European merchant banks. Their success was due in large part to their aggregation, absorption and deployment of information about borrowers, structures and markets. In the 21st century, banking again is being advanced due to insights developed by vast amounts of information and data, this time gathered and managed through new technologies and models, in quest of efficiency, improved risk management and improved portfolio performance. New entrants into the business of banking operate outside of existing regulatory structures, and may enjoy a level of competitive flexibility compared to existing commercial banks. Might this portend the end of the so-called modern commercial banking model, or might it serve as a strategic imperative for the banks to adapt to innovation?

scholarly journals Analysis of Chinese Commercial Banks’ Risk Management Efficiency Based on the PCA-DEA Approach

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiao Shi ◽  
Wenqi Yu
Keyword(s):  
Risk Management ◽  
Technical Efficiency ◽  
Commercial Banks ◽  
Economies Of Scale ◽  
Banking System ◽  
Principal Component ◽  
Commercial Banking ◽  
Scale Efficiency ◽  
Management Efficiency ◽  
Chinese Banking Industry

As a special type of enterprises with high risks, Chinese commercial banks’ risk management plays an important role in banks’ business process. Measuring and improving the risk management efficiency of the Chinese commercial banking system has recently attracted increasing interest. Previous studies analyze the business performance of commercial banks from the perspective of the overall management level of banks, and few articles focus on the risk management ability of banks. This paper evaluates the technical efficiencies of Chinese commercial banks’ risk management by the DEA-BCC model with window analysis to come up with some recommendations for policy makers. The technical efficiency is then decomposed into pure technology efficiency and scale efficiency. According to the banking risk supervision indicators released by the China Banking Regulatory Commission, we choose the indicators of 26 commercial banks’ risk management during the period of 2011 to 2019. Principal component analysis (PCA) is applied to delete redundant input indicators. The paper gives a dynamic evaluation of technology efficiency, pure technology efficiency, and scale efficiency. The main empirical results are as follows: (1) the technical efficiency of Chinese commercial banks’ risk management is low, and the differences among three different types of banks are large. (2) The pure technology inefficiency of Chinese commercial banks’ risk management has become a key factor restricting the improvement of the risk management of the Chinese banking industry. (3) The Chinese commercial banks’ risk management faces a serious problem which is economies of scale. (4) The technical efficiencies of Chinese commercial banks’ risk management fluctuate greatly, and management capabilities need to be enhanced urgently.

Impact of Financial Crisis on Credit Risk: Pre- and Post-financial Crises 
in an Emerging Economy

2020 ◽  
Vol 9 (2) ◽  
pp. 118-132
Author(s):  
Syed Moudud-Ul-Huq ◽  
Rabaka Akter ◽  
Tanmay Biswas
Keyword(s):  
Risk Management ◽  
Financial Crisis ◽  
Credit Risk ◽  
Commercial Banks ◽  
Global Financial Crisis ◽  
Banking System ◽  
Commercial Banking ◽  
Real Economy ◽  
Credit Risk Management ◽  
The Global Financial Crisis

This aim of the article is to establish a model to discuss the reasons for changing the level of credit risk among the commercial banks of Bangladesh during the global financial crisis (GFC). Credit risk has been remaining as the essential and core risk in commercial banking activities. Multiple regression analysis is used to test the relationship among the level of credit risk as a dependent variable and financial crisis, other bank-level variables and macroeconomic variables. The causes of the GFC revealed not only systematic or structural imbalances but also the necessity to keep and strengthen the principles of credit risk management. We analyse the leading causes of the recent GFC. Moreover, the lessons that must be learnt from the weaknesses of credit risk management systems. Credit risk was found to respond to macroeconomic conditions, which indicate strong feedback effects from the banking system to the real economy. This article represents the analysis of the influence of the financial crisis on credit risk management in commercial banks and summarizes the challenges faced by banks for credit risk improvement. We hope that this reality creates new opportunities for managing credit risk in the future to increase this importance in the banks and the overall economy of Bangladesh.

scholarly journals Legislative Impact on Lending: Credit Risk Management in China

2011 ◽  
Vol 14 (04) ◽  
pp. 617-645 ◽  
Author(s):  
Zhaohua Li
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Management Practice ◽  
Commercial Banking ◽  
Chinese Government ◽  
Credit Risk Management ◽  
Before And After ◽  
The Government ◽  
Policy Lending

The Chinese government established the Act on Commercial Banks 1995 to enforce and regulate commercial banking activities. The government envisaged that the Act, together with other bank reforms, would improve credit risk management practice among commercial banks, hence, prompting the banks to reduce and ultimately stop local government directed policy lending to state-owned enterprises (SOEs). This paper examines the lending behavior of a government-controlled commercial bank before and after the passage of the Act. We find that the bank tightened control of the credit risk of borrowers after the passage of the Act. We also find that SOEs are charged a rate of interest higher than that charged to private firms.

Construction of the Operational Risk Management System of Bank by Information Technology

2014 ◽  
Vol 926-930 ◽  
pp. 3774-3777
Author(s):  
Zhi Gang Li
Keyword(s):  
Information Technology ◽  
Risk Management ◽  
Electronic Commerce ◽  
21St Century ◽  
Commercial Banks ◽  
Operational Risk ◽  
Bank Risk ◽  
Economic Losses ◽  
Management Process ◽  
Risk Management System

The extensive application of information technology in all walks of life, extend the space of electronic commerce, commercial banks are also under various pressure. In recent years, because of the wrong operation brings huge economic losses, the risk to commercial banks in the management process is more and more complex. In the 21st century, the commercial banks have made great adjustment in the management process, during the exchanged system period, it is very easy to cause the risk. So China commercial banks began to pay attention to risk management in the management process. In the process of bank risk management , the application of information technology has an important role.

scholarly journals The Impact of Credit Risk Management on the Commercial Banks Performance in Nigeria

2014 ◽  
Vol 3 (5) ◽  
pp. 295-306
Author(s):  
Idowu Abiola ◽  
Awoyemi Samuel Olausi
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Commercial Banking ◽  
Capital Adequacy ◽  
Credit Risk Management ◽  
Financial Reports ◽  
Return On Equity ◽  
Management Indicators ◽  
The Impact

Credit risk management in banks has become more important not only because of the financial crisis that the industry is experiencing currently, but also a crucial concept which determine banks’ survival, growth and profitability. The aim of this study is to investigate the impact of credit risk management on the performance of commercial banks in Nigeria. Financial reports of seven commercial banking firms were used to analyze for seven years (2005 – 2011). The panel regression model was employed for the estimation of the model. In the model, Return on Equity (ROE) and Return on Asset (ROA) were used as the performance indicators while Non-Performing Loans (NPL) and Capital Adequacy Ratio (CAR) as credit risk management indicators. The findings revealed that credit risk management has a significant impact on the profitability of commercial banks’ in Nigeria.

scholarly journals PROFITABILITY AND RISK IN RELATION TO CREDIT MONITORING AND RECOVERY STRATEGIES OF PALESTINIAN COMMERCIAL BANKING SYSTEM

2019 ◽  
Vol 7 (2) ◽  
pp. 389-395
Author(s):  
Omar Alaeddin ◽  
Wael M. Thabet ◽  
Ahmed A.S. Thabet ◽  
Bakhodir Nurmukhamedov
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking System ◽  
Commercial Banking ◽  
Credit Risk Management ◽  
Panel Model ◽  
Recovery Strategies ◽  
The Relationship

Purpose of Study: This study implemented an empirical investigation for the relationship between credit risk management and profitability of commercial banks in Palestine over the period of 3years (2015-2018), ten commercial banks were selected. Methodology: The financial theory was employed to create the research model; Return on Asset (ROA) is defined as proxies of profitability while credit monitoring (LLPI) is defined as proxies of credit risk management.  Panel model analysis was used to estimate the determination of the profit function. Results: Statistical results revealed that the relationship between the credit monitoring and commercial banks profitability is negative significant (β= -3.419, P ˂ 0.05). Therefore, the results improve that LLPI has a significant effect on Palestinian commercial banks profitability's.

Income Diversification and Bank Efficiency in Vietnam

2017 ◽  
pp. 52-67
Author(s):  
Sang Nguyen Minh
Keyword(s):  
Regression Model ◽  
Commercial Banks ◽  
Banking System ◽  
Operational Efficiency ◽  
Commercial Banking ◽  
Tobit Regression ◽  
Income Diversification ◽  
Positive Effects ◽  
Study Results ◽  
The Impact

This study uses the DEA (Data Envelopment Analysis) method to estimate the technical efficiency index of 34 Vietnamese commercial banks in the period 2007-2015, and then it analyzes the impact of income diversification on the operational efficiency of Vietnamese commercial banks through a censored regression model - the Tobit regression model. Research results indicate that income diversification has positive effects on the operational efficiency of Vietnamese commercial banks in the research period. Based on study results, in this research some recommendations forpolicy are given to enhance the operational efficiency of Vietnam’s commercial banking system.

Forecasting based on spectral time series analysis: prediction of the Aurubis stock price

2020 ◽  
Vol 17 (4) ◽  
pp. 215-227
Author(s):  
Julia Babirath ◽  
Karel Malec ◽  
Rainer Schmitl ◽  
Kamil Maitah ◽  
Mansoor Maitah
Keyword(s):  
Time Series ◽  
Risk Management ◽  
Time Series Analysis ◽  
Wiener Process ◽  
Stock Price ◽  
Percentage Error ◽  
Portfolio Performance ◽  
Stock Price Prediction ◽  
Series Analysis ◽  
Augmented Dickey Fuller

The attempt to predict stock price movements has occupied investors ever since. Reliable forecasts are a basis for investment management, and improved forecasting results lead to enhanced portfolio performance and sound risk management. While forecasting using the Wiener process has received great attention in the literature, spectral time series analysis has been disregarded in this respect. The paper’s main objective is to evaluate whether spectral time series analysis can produce reliable forecasts of the Aurubis stock price. Aurubis poses a suitable candidate for an investor’s portfolio due to its sound economic and financial situation and the steady dividend policy. Additionally, reliable management contributes to making Aurubis an investment opportunity. To judge if the achieved forecast results can be considered satisfactory, they are compared against the simulation results of a Wiener process. After de-trending the time series using an Augmented Dickey-Fuller test, the residuals were compartmentalized into sine and cosine functions. The frequencies, amplitude, and phase were obtained using the Fast Fourier transform. The mean absolute percentage error measured the accuracy of the stock price prediction, and the results showed that the spectral analysis was able to deliver superior results when comparing the simulation using a Wiener process. Hence, spectral time series can enhance stock price forecasts and consequently improve risk management.

Effective Customer Support System of Life Insurance Companies

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajesh Srivastava ◽  
Dr. Preeti Sharma
Keyword(s):  
Life Insurance ◽  
Economies Of Scale ◽  
New Technologies ◽  
Insurance Industry ◽  
Integrated Approach ◽  
Customer Experience ◽  
Disruptive Innovation ◽  
Insurance Companies ◽  
Insurance Business ◽  
Strategic Imperative

Increased competition, new technologies and the shift in power from the provider to the customer have produced unrelenting pressure on life insurance business. The market forces point to one overwhelming strategic imperative: customer-focused strategy. Customers are willing to build long-term relationships based on trust and mutual respect with firms that provide a differentiated and personalized service offering. Over the past few years, life insurance industry responded to intensified competition and high customer attrition by entering each other’s markets to capture greater “wallet share” and ostensibly lower their economies of scale. The service delivery process is influenced by quality of personnel, information technology, internal processes, human resource practices, and even an institution’s own change orientation. Now a day’s customers are demanding seamless, multi-channel sales and service experiences. Simultaneously, other players are looking for opportunities to invade this space or to redefine it through disruptive innovation. The result is forcing life insurance companies to examine a more balanced, integrated approach to the customer experience and growth. This research, we analyze the need, preference and satisfaction of customers in life insurance business and provide perspective on how to improve the customer experience.

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