Research on the Establishment and Evaluation of Operational Risk Model of Current Financial İnstitutions in China

Author(s):  
Wanghong Liang
Author(s):  
Antoaneta Serguieva ◽  
Stanislav Bozhkov ◽  
Keming Yu

2007 ◽  
Vol 12 (4) ◽  
pp. 321-330 ◽  
Author(s):  
B. Di Renzo ◽  
M. Hillairet ◽  
M. Picard ◽  
A. Rifaut ◽  
C. Bernard ◽  
...  

2017 ◽  
Author(s):  
Ahmed Barakat ◽  
Simon Ashby ◽  
Paul Fenn ◽  
Cormac Bryce

2018 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Muhammad Yasran Rasheed ◽  
Asif Saeed ◽  
Ammar Ali Gull

Operational risk has a great impact on the functions of financial institutions. As the complexity and size of firms in increasing, it also enhancing the operations risk in more harmful ways. If a firm is not able to perform its operational activities properly, then it is not possible for banks to get high profitability ratio. Firstly, the operational risk has not achieved the greater importance but with the passage of times all financial institutions have come to know that it is very important for all institutions to cover up the rate of risk in financial operations. By selecting 15 banks (Islamic & Commercial Banks) from the year 2007 to 2011 focused on the internal factors of the banks which are mostly affected by the operational risk. Regression and correlation methods are used to evaluate the impact of Return on Asset, Debt/Equity Ratio, Spread Ratio, Capital Ratio and Asset management on the Return on Equity. The empirical results are shown that the awareness regarding operations risk has greater impact on the management of operational risk. Results are also shown that the operational risk disclosure also vary among different banks.


2012 ◽  
Vol 12 (2) ◽  
pp. 106-113
Author(s):  
Brian Keller ◽  
Güzin Bayraksan

2018 ◽  
Vol 05 (04) ◽  
pp. 1850041
Author(s):  
Suguru Yamanaka

This paper proposes advanced credit risk assessment and lending operations using purchase order information from borrower firms. Purchase order information from a borrower firm is useful for financial institutions to evaluate the actual business conditions of the firm. This paper shows the application of purchase order information to lending operations and credit risk assessment, and reveals its effectiveness. First, we propose a “purchase order based” credit risk model for real-time credit risk monitoring of firms. Financial institutions can monitor the actual business conditions of borrower firms by evaluating the firm’s asset value using purchase order information. A combination of traditional firm monitoring using financial statements and high-frequency monitoring using purchase order information enables financial institutions to assess the business conditions of borrower firms more precisely and efficiently. Then, with high-frequency data, financial institutions can give borrower firms appropriate support if necessary on a timely basis. Second, we illustrate purchase order financing, which is the lending method backed by purchase order information from borrowers. With purchase order financing, firms that consistently receive purchase orders from credit-worthy firms can borrow money under more favorable lending terms than the usual lending terms based on the financial statements of the borrower firm.


2012 ◽  
Vol 22 (18) ◽  
pp. 1553-1569 ◽  
Author(s):  
Séverine Plunus ◽  
Georges Hübner ◽  
Jean-Philippe Peters

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