We consider a banking model in which firms’ access to credit is constrained due to the banks’ limited risk-bearing capacities. We show that such constraints may be relaxed by allowing banks to transfer risks to outside investors. However, the market for credit risk transfer (CRT) works smoothly only if loans are based on hard, i. e., verifiable information. In contrast, the market for CRT eithe...

for banks and financial institutions, credit risk had been an essential factor that needed to be managed well. credit risk was the possibility that a borrower of counter party would fail to meet its obligations in accordance with agreed terms. credit risk; therefore arise from the bank’s dealings with or lending to corporate, individuals, and other banks or financial institutions.  credit risk...

Today, with respect to the increasing growth of demand to get credit from the customers of banks and finance and credit institutions, using an effective and efficient method to decrease the risk of non-repayment of credit given is very necessary. Assessment of customers' credit is one of the most important and the most essential duties of banks and institutions, and if an error occurs in this f...

internal audit is a process affected by an entity ‘s board of directors, management and other personnel, designed to provide reasonable assurance regarding the achievement of objectives relating to operations, reporting and compliance. this definition reflects certain fundamental concepts. internal control is: • geared to achievement of objectives in one or more categories operations, repor...

expert systems can help to build banks customers' credit scoring models. here, selection of key features of the credit scoring is important. also, it is possible to express the features values as fuzzy. the problem is how to improve features selection by genetic algorithm, in way that these features can be employed as input in fuzzy expert system. this paper presents a hybrid credit scorin...

The Basel II Accord pointed out benefits of credit risk management through internal models to estimate Probability of Default (PD). Banks use default predictions to estimate the loan applicants’ PD. However, in practice, PD is not useful and banks applied credit scorecards for their decision making process. Also the competitive pressures in lending industry forced banks to use profit scorecards...