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Analytical techniques in the assessm...

Doumpos, Michalis.

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Analytical techniques in the assessment of credit risk = an overview of methodologies and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analytical techniques in the assessment of credit risk/ by Michalis Doumpos ... [et al.].
Reminder of title:	an overview of methodologies and applications /
other author:	Doumpos, Michalis.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	viii, 111 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction to Credit Risk Modeling and Assessment -- Credit Scoring and Rating -- Data Analytics for Developing and Validating Credit Models -- Applications to Corporate Default Prediction and Consumer Credit -- Conclusions and Future Research.
Contained By:	Springer eBooks
Subject:	Credit scoring systems. -
Online resource:	https://doi.org/10.1007/978-3-319-99411-6
ISBN:	9783319994116

Analytical techniques in the assessment of credit risk = an overview of methodologies and applications /
Analytical techniques in the assessment of credit riskan overview of methodologies and applications /[electronic resource] :by Michalis Doumpos ... [et al.]. - Cham :Springer International Publishing :2019. - viii, 111 p. :ill., digital ;24 cm. - EURO advanced tutorials on operational research,2364-687X. - EURO advanced tutorials on operational research..

Introduction to Credit Risk Modeling and Assessment -- Credit Scoring and Rating -- Data Analytics for Developing and Validating Credit Models -- Applications to Corporate Default Prediction and Consumer Credit -- Conclusions and Future Research.

This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.

ISBN: 9783319994116

Standard No.: 10.1007/978-3-319-99411-6doiSubjects--Topical Terms:

749143
Credit scoring systems.

LC Class. No.: HG3751.5

Dewey Class. No.: 332.7

Analytical techniques in the assessment of credit risk = an overview of methodologies and applications /
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245 0 0 $a Analytical techniques in the assessment of credit risk $h [electronic resource] : $b an overview of methodologies and applications / $c by Michalis Doumpos ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a viii, 111 p. : $b ill., digital ; $c 24 cm.
490 1 $a EURO advanced tutorials on operational research, $x 2364-687X
505 0 $a Introduction to Credit Risk Modeling and Assessment -- Credit Scoring and Rating -- Data Analytics for Developing and Validating Credit Models -- Applications to Corporate Default Prediction and Consumer Credit -- Conclusions and Future Research.
520 $a This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.
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