Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour

by S. Finlay

Overview

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.

Product Details

ISBN-13:	9781349366897
Publisher:	Palgrave Macmillan UK
Publication date:	01/01/2010
Edition description:	1st ed. 2010
Pages:	280
Product dimensions:	6.10(w) x 9.25(h) x (d)

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.

Table of Contents

Introduction Project Planning Sample Selection Gathering and Preparing Data Understanding Relationships In Data Data Pre-Processing Model Construction (Parameter Estimation) Validation, Model Performance and Cut-off Strategy Sample Bias and Reject Inference Implementation and Monitoring Further Topics Bibliography