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Credit Scoring, Response Modelling and Insurance Rating S. Finlay

Credit Scoring, Response Modelling and Insurance Rating By S. Finlay

Credit Scoring, Response Modelling and Insurance Rating by S. Finlay


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Summary

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

Credit Scoring, Response Modelling and Insurance Rating Summary

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

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

About S. Finlay

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

Additional information

NPB9780230577046
9780230577046
0230577040
Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour by S. Finlay
New
Hardback
Palgrave Macmillan
2010-10-27
280
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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