eShop USA > Books > Credit Scoring For Risk Managers: The Handbook For Lenders
Credit Scoring For Risk Managers: The Handbook For Lenders
List Price: $64.95Our Price: $40.92 You Save: $24.03 (37%)Prices subject to change.
Availability: Usually ships in 24 hours
Binding: Hardcover
Dewey Decimal Number: 380
EAN: 9780324200546
Edition: 1
ISBN: 0324200544
Label: South-Western Educational Pub
Manufacturer: South-Western Educational Pub
Number Of Items: 1
Number Of Pages: 264
Publication Date: October 03, 2003
Publisher: South-Western Educational Pub
Studio: South-Western Educational Pub
Related Items:
Editorial Review:
With the growing concern about personal bankruptcy and quality of consumer lending, an effective credit scoring system is crucial to efficient and profitable lending practices. Featuring essays from seven experts in the risk management and banking/financial institution lending environment, this unique book offers valuable insights and proven techniques for developing effective credit scoring systems. It provides in-depth coverage of the roles of credit scoring, generic vs. customized scoring models, credit bureau data, scorecard development, performance measures, neural networks, project management, scorecard monitoring reports, how to use a scorecard to a lender's best advantage and much more.
Customer Reviews
Average Rating: 
Rating:  - Excellent resource for practitionars in financial services for consumers
This is a very practical book for anyone in the consumer risk management or non-developers of score models. Explains in plain language the practical aspects of interpreting KS scores (widely used in the credit card/mortgage/consumer finance/auto loan industries), dealing with the very pertinent issue of disparate impact (Reg B) and the even the basics of score variable analysis -including various types of biases that can come in to play.
Rating:  - A good collection of credit scoring related articles
I started reading this book with a low expectation but I liked the book when I was done with it !. Though it doesn't explain the statistical methods in great detail, it still is a good reading for logistics regression based scorecard development. SAS is frequently referred in the text so it's easy for a SAS user.
The chapters I thought useful:
If the reader is not very familiar with US credit bureau data, Chapter 3 gives a good summary and explains the basic structure of ... Read More
Related Categories:
| |
 |
