Consumer Credit Models: Pricing, Profit and Portfolios

Hardcover | February 28, 2009

byLyn C. Thomas

not yet rated|write a review
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives fromminimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks thereare a number of challenges that require new models that use credit scores as inputs and extensions of the ideas in credit scoring. This book reviews the current methodology and measures used in credit scoring and then looks at the models that can be used to address these new challenges. The first chapter describes what a credit score is and how a scorecard is built which gives credit scores and models how the score is used in the lending decision. The second chapter describes the different ways the quality of a scorecard can be measured and points out how some of these measure thediscrimination of the score, some the probability prediction of the score, and some the categorical predictions that are made using the score.The remaining three chapters address how to use risk and response scoring to model the new problems in consumer lending. Chapter three looks at models that assist in deciding how to vary the loan terms made to different potential borrowers depending on their individual characteristics. Risk basedpricing is the most common approach being introduced. Chapter four describes how one can use Markov chains and survival analysis to model the dynamics of a borrower's repayment and ordering behaviour . These models allow one to make decisions that maximise the profitability of the borrower to thelender and can be considered as part of a customer relationship management strategy. The last chapter looks at how the new banking regulations in the Basel Accord apply to consumer lending. It develops models that show how they will change the operating decisions used in consumer lending and howtheir need for stress testing requires the development of new models to assess the credit risk of portfolios of consumer loans rather than a models of the credit risks of individual loans.

Pricing and Purchase Info

$94.50

Ships within 1-3 weeks
Ships free on orders over $25

From the Publisher

The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives fromminimising defaults to maximising profits, t...

Lyn Thomas is Professor of Management Science at the School of Management at the University of Southampton and has for the last twenty five years been active as a researcher and consultant in the consumer credit area. He has co-authored and edited books and written over forty papers on consumer credit. He was the founder of the Credit...

other books by Lyn C. Thomas

Readings in Credit Scoring: Foundations, Developments, and Aims
Readings in Credit Scoring: Foundations, Developments, ...

Hardcover|Jul 21 2004

$215.75$279.00list pricesave 22%
Format:HardcoverDimensions:400 pages, 9.21 × 6.14 × 1.02 inPublished:February 28, 2009Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:019923213X

ISBN - 13:9780199232130

Customer Reviews of Consumer Credit Models: Pricing, Profit and Portfolios

Reviews

Extra Content

Table of Contents

Preface1. Introduction to Consumer Credit an Credit Scoring2. Measurement of Scoring Systems3. Risk Based Pricing4. Profit Scoring and Dynamic Models5. Portfolio Credit Risk and the Basel AccordAppendicesReferencesIndex