Credit Risk Scorecard Design, Validation and User Acceptance

نویسندگان

  • Edward Huang
  • Christopher Scott
چکیده

Credit risk scoring has gone a long way since Fair Isaac introduced the first commercial scorecard to assist banks in making their credit lending decisions over 50 years ago. It now becomes the cornerstone in modern credit risk management thanks to the advancement in computing technologies and availability of affordable computing power. Credit scoring is no longer only applied in assessing lending decisions, but also on-going credit risk management and collection strategies. Better designed, optimally developed and hence more powerful credit risk scorecard is a key for banks and retail finance companies alike to achieve competitive advantage in today’s competitive financial services market under the tough economic environment with severe consumer indebtedness. Several books have been published which serve as a good introduction to credit management and scoring. [1-4]

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Matrix Sequential Hybrid Credit Scorecard Based on Logistic Regression and Clustering

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...

متن کامل

Evaluation of the Farm Credit Quick Loan Analysis as a Valid or Invalid Scorecard for Small Business Loans between $100,000 and $250,000

In the financial world there is a need for effectiveness and efficiency. The Farm Credit Quick loan analysis is a process created by Fair-Isaac. This analysis is referred to as scorecard lending. It uses a combination of financial data to determine the risk of the customer or candidate. Farm Credit fully adopted this process in 1997, for loans under $100,000.00. Efficiency and effectiveness is ...

متن کامل

Reject Inference Techniques Implemented in Credit Scoring for SAS® Enterprise MinerTM

Many business elements are used to develop credit scorecards. Reject inference, related to the issue of sample bias, is one of the key processes required to build relevant application scorecards and is vital in creating successful scorecards. Reject inference is used to assign a target class (that is, a good or bad designation) to applications that were rejected by the financial institution and...

متن کامل

Improving Credit Risk Scorecards with Memory-Based Reasoning to Reject Inference with SAS Enterprise Miner

Many business elements are used to develop credit scorecards. Reject inference, related to the issue of sample bias, is one of the key processes required to build relevant application scorecards and is vital in creating successful scorecards. Reject inference is used to assign a target class (that is, a good or bad designation) to applications that were rejected by the financial institution and...

متن کامل

Credit risk management tools ranking in useless banking Using the AHP technique

Equipping and allocating resources to economic activities is done through the financial market where the bank credit market is part of that market. The high reserves of banks and the refurbished or overdue facilities indicate that the banking system does not use credit risk management tools well and that there is no proper model for managing credit risk in the banking network. The present study...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007