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Palgrave Macmillan

Credit Scoring, Response Modelling and Insurance Rating

A Practical Guide to Forecasting Consumer Behaviour

  • Book
  • © 2010

Overview

Authors:
  1. Steven Finlay
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Steven Finlay
    Pages 1-29

  3. Project Planning

    • Steven Finlay
    Pages 30-65

  4. Sample Selection

    • Steven Finlay
    Pages 66-88

  5. Gathering and Preparing Data

    • Steven Finlay
    Pages 89-112

  6. Understanding Relationships in Data

    • Steven Finlay
    Pages 113-143

  7. Data Pre-processing

    • Steven Finlay
    Pages 144-159

  8. Model Construction (Parameter Estimation)

    • Steven Finlay
    Pages 160-196

  9. Validation, Model Performance and Cut-off Strategy

    • Steven Finlay
    Pages 197-225

  10. Sample Bias and Reject Inference

    • Steven Finlay
    Pages 226-243

  11. Implementation and Monitoring

    • Steven Finlay
    Pages 244-253

  12. Further Topics

    • Steven Finlay
    Pages 254-263

  13. Back Matter

    Pages 264-280
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About this book

Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

About the author

STEVEN FINLAY has worked in the field of predictive analytics for over fifteen years. His research interests cover all areas of consumer credit, forecasting and data mining. He is currently Head of Analytics at HML in the UK and is a Visiting Research Fellow at the Lancaster University Management School, UK.

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