The main objective of the study is to assess the impact of micro-credit on poverty reduction . The study was conducted among recipients of microcredit provided by both Grameen Bank and the BRDB in Manikganj Sadar Upazila of Manikganj district and Sagalnaiya Upazila of Feni district. The study reveals that Grameen Bank and BRDB covered higher proportion of landless households compared to control...

A Bayesian latent variable model with classification and regression tree approach is built to overcome three challenges encountered by a bank in credit-granting process. These three challenges include (1) the bank wants to predict the future performance of an applicant accurately; (2) given current information about cardholders’ credit usage and repayment behavior, financial institutions would ...

When a company undertakes e-commerce transactions for the first time, most major web sites set the initial credit score of the company as zero, which making buyers and sellers can’t judge the partners’ credibility. In recent years, although commercial banks and some specialized credit rating agencies have established more comprehensive and scientific indicators for evaluating the credit of an e...

In this paper, we present the macro stress test with a credit risk approach for banking system of Iran during the period 2004Q1-2019Q4. The goal is to evaluate the vulnerability of the banking system through credit risk to the country economic shocks. In this regard, the developed method of Wilson (1997) Credit Portfolio View model including macroeconomic variables and default rate has been use...

With the help of a commercial bank in China, we studied consumer credit card debt behavior in correlation with demographics, attitude, personality, and credit card features factors. The study was conducted by using mail-in questionnaires, which were sent to credit card holders who was using or had used either revolving credit or petty installment plans. According to regression functions, we fou...

Loan contracts performance determines the profitability and stability of the financial institutions, and screening the loan applications is a key process in minimizing credit risk. Before making any credit decisions, credit analysis (the assessment of the financial history and financial backgrounds of the borrowers) should be completed as part of the screening process. Good borrowers with low c...

Hong Kong Rachel Hardee +852 2263 9918 rachel.hardee @derivativefitch.com Introduction Constant proportion debt obligations (CPDOs) are one of the latest product innovations seen in the structured credit markets. Like other more recent structured credit products, the performance of the issued debt obligations is highly dependent on the mark-to-market (MtM) impact of changes in credit spreads. C...

this paper presents a comprehensive review of the works done, during the 2000–2012, in the application of data mining techniques in credit scoring. yet there isn’t any literature in the field of data mining applications in credit scoring. using a novel research approach, this paper investigates academic and systematic literature review and includes all of the journals in the science direct onli...

This study wants to investigate the rating of the actual customers of banks based on credit risk using multiple criteria decision making and artificial intelligence hyperbolic regression. This is an applied research. The statistical population of the study includes the credit customers of Agriculture Bank in west branches of Mazandaran province, Iran in 2012-2016. A total of 100 cases have been...