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Doomed Firms
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Doomed Firms : An Econometric Analysis of the Path to Failure

Book Details

Format Hardback or Cased Book
ISBN-10 1138711977
ISBN-13 9781138711976
Publisher Taylor & Francis Ltd
Imprint Routledge
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 14th, 2017
Print length 250 Pages
Weight 458 grams
Dimensions 16.00 x 22.80 x 2.00 cms
Ksh 22,500.00
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This title was first published in 2003. This book provides a much needed comprehensive and up-to-date treatise on financial distress modelling. Since many of the challenges facing researchers of financial distress can only be addressed by a totally new research design and modelling methodology, this book concentrates on extending the potential for bankruptcy analysis from single-equation modelling to multi-equation analysis. Essentially, the work provides an innovative new approach by comparing each firm with itself over time rather than testing specific hypotheses or improving predictive and classificatory accuracy.
This title was first published in 2003. This book provides a much-needed comprehensive and up-to-date treatise on financial distress modelling. Since many of the challenges facing researchers of financial distress can only be addressed by a totally new research design and modelling methodology, this book concentrates on extending the potential for bankruptcy analysis from single-equation modelling to multi-equation analysis. Essentially, the work provides an innovative new approach by comparing each firm with itself over time rather than testing specific hypotheses or improving predictive and classificatory accuracy. Added to this new design, a whole new methodology - or way of modelling the process - is applied in the form of a family of models of which the traditional single equation logit or MDA models is just a special case. Preliminary two-equation and three-equation models are presented and tested in the final chapters as a taste of things to come. The groundwork for a full treatise on these sorts of multi-equation systems is laid for further study - this family of models could be used as a basis for more specific applications to different industries and to test hypotheses concerning influential variables to bankruptcy risk.

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