Credit Scoring for Risk Managers: The Handbook for Lenders

3,33 valoración promedio
( 3 valoraciones por Goodreads )
 
9781450578967: Credit Scoring for Risk Managers: The Handbook for Lenders

This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In today's financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The world's economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U.S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the book’s sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9).

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Mays and Lynas are credit scoring experts with a combined 40 years of experience building, validating, and performing independent review on credit scoring models.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Dr Elizabeth Mays, Niall Lynas
Editorial: Createspace, United States (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Paperback Cantidad: 10
Impresión bajo demanda
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Createspace, United States, 2011. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In today s financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The world s economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U.S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the book s sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9). Nº de ref. de la librería APC9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 39,26
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Mays, Elizabeth
Editorial: INGRAM INTERNATIONAL INC (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Pbshop
(Wood Dale, IL, Estados Unidos de America)
Valoración
[?]

Descripción INGRAM INTERNATIONAL INC, 2011. PAP. Estado de conservación: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IP-9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 38,08
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Dr Elizabeth Mays, Niall Lynas
Editorial: Createspace, United States (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Paperback Cantidad: 10
Impresión bajo demanda
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Createspace, United States, 2011. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****. This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In today s financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The world s economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U.S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the book s sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9). Nº de ref. de la librería APC9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 41,57
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Mays, Elizabeth
Editorial: INGRAM INTERNATIONAL INC (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción INGRAM INTERNATIONAL INC, 2011. PAP. Estado de conservación: New. New Book. Delivered from our US warehouse in 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND.Established seller since 2000. Nº de ref. de la librería IP-9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 32,73
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 9,86
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Elizabeth Mays; Niall Lynas
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Cantidad: > 20
Impresión bajo demanda
Librería
BWB
(Valley Stream, NY, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería POD_9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 42,75
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Mays, Elizabeth; Lynas, Niall
Editorial: CreateSpace Independent Publishing Platform (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Paperback Cantidad: 10
Librería
Ergodebooks
(RICHMOND, TX, Estados Unidos de America)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform, 2011. Paperback. Estado de conservación: New. Nº de ref. de la librería INGM9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 40,53
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Mays, Elizabeth; Lynas, Niall
Editorial: CreateSpace Independent Publishing Platform
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos PAPERBACK Cantidad: > 20
Librería
Russell Books
(Victoria, BC, Canada)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform. PAPERBACK. Estado de conservación: New. 1450578969 Special order direct from the distributor. Nº de ref. de la librería ING9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 43,84
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 5,95
De Canada a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Elizabeth Mays
Editorial: CreateSpace Independent Publishing Platform
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Paperback Cantidad: 20
Impresión bajo demanda
Librería
BuySomeBooks
(Las Vegas, NV, Estados Unidos de America)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform. Paperback. Estado de conservación: New. This item is printed on demand. Paperback. 264 pages. Dimensions: 9.1in. x 7.5in. x 0.7in.This is the second edition of Credit Scoring For Risk Managers: The Handbook for Lenders. Like the first edition, it was written for bankers and other consumer lenders who need a clear understanding of how to use credit scoring effectively throughout the loan life cycle. In todays financial system, scoring is used by virtually all lenders for all types of consumer lending assets, making it vitally important that risk managers understand how to manage and monitor scores and how to set policies for their use. This edition is substantially different from the first edition published in 2004. The worlds economies have been through a major financial crisis and severe recession and some have questioned the role and value of models and scores used by lenders in the years leading up to the U. S. housing collapse and economic downturn. We have devoted a significant portion of the book to topics relevant to ensuring scorecards are properly managed through volatile environments and controlling the risk of using credit scores for decision-making. Ten of the books sixteen chapters are new. Many focus on scorecard management practices and on controlling model risk. Score management refers to all the activities model managers and users engage in after the scorecard is developed. These include setting proper lending policies to use in conjunction with the score, periodic back-testing and validation, and remediation of any issues that may arise related to scorecard performance. Chapter 4 takes the reader step by step through a scorecard development project and discusses best practices for managing and documenting scorecard projects to increase the transparency of the performance, assumptions and limitations of scoring models. The last three chapters are devoted to the important topic of score model governance. Chapter 14 describes how to design a model governance framework to ensure credit scoring models are properly developed, used and validated on an on-going basis. Chapter 15 is focused on model monitoring and back-testing and describes a set of reports lenders should create and review to ensure their scorecards are performing well. Independent review of risk models by a third-party model expert is an important part of sound model governance. In Chapter 16 we describe how to carry out a thorough independent model review. Other chapters focus on new material not covered in the previous edition including types of data that are used as predictive information in scores (Chapter 3), fair lending analysis of scorecards and the creation of adverse action reasons (Chapter 11), the use of scores as components of other models (Chapter 10), common scoring mistakes to avoid (Chapter 12) and the important topic of reject inference (Chapter 9). This item ships from La Vergne,TN. Paperback. Nº de ref. de la librería 9781450578967

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 47,26
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,36
A Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Elizabeth Mays, Niall Lynas
Editorial: CreateSpace Independent Publishing Platform (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Paperback Cantidad: 1
Librería
Ergodebooks
(RICHMOND, TX, Estados Unidos de America)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform, 2011. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX1450578969

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 52,28
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
A Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Mays, Elizabeth, Lynas, Niall
Editorial: CreateSpace Independent Publishing Platform (2011)
ISBN 10: 1450578969 ISBN 13: 9781450578967
Nuevos Cantidad: 1
Librería
Nearfine Books
(Brooklyn, NY, Estados Unidos de America)
Valoración
[?]

Descripción CreateSpace Independent Publishing Platform, 2011. Estado de conservación: new. Shiny and new! Expect delivery in 20 days. Nº de ref. de la librería 9781450578967-1

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 56,04
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,40
A Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda