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

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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