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Distress Risk and Corporate Failure Modelling - The State of the Art (Paperback) Loot Price: R1,327
Discovery Miles 13 270
Repayment Terms: R124 pm x 12*
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Distress Risk and Corporate Failure Modelling - The State of the Art (Paperback): Stewart Jones

Distress Risk and Corporate Failure Modelling - The State of the Art (Paperback)

Stewart Jones

Series: Routledge Advances in Management and Business Studies

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List price R1,443 Loot Price R1,327 Discovery Miles 13 270 | Repayment Terms: R124 pm x 12* You Save R116 (8%)

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An easy to read by "state of the art" text containing a comprehensive review and analysis of existing corporate bankruptcy models, and their applications to real life data Covers a broad range of statistical learning models, ranging from relatively linear techniques (e.g. linear discriminant analysis) to state-of the art machine learning methods (e.g. random forests, deep learning). Explains the purpose, strength and limitations of respective models and frameworks, highlighting their major points of similarity and difference and would make this book a useful reference Much of the corporate bankruptcy literature has relied on quite simplistic classification models but this book introduces a wide range of innovative corporate bankruptcy prediction models

General

Imprint: Routledge
Country of origin: United Kingdom
Series: Routledge Advances in Management and Business Studies
Release date: September 2022
Authors: Stewart Jones
Dimensions: 234 x 156 x 18mm (L x W x T)
Format: Paperback
Pages: 230
ISBN-13: 978-1-138-65250-7
Categories: Books > Business & Economics > Economics > General
Books > Business & Economics > Business & management > Business strategy
Books > Business & Economics > Finance & accounting > Finance > Corporate finance
Books > Business & Economics > Finance & accounting > Finance > Banking
Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions
Books > Money & Finance > Banking
Books > Money & Finance > Corporate finance
Books > Money & Finance > Credit & credit institutions
LSN: 1-138-65250-4
Barcode: 9781138652507

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