Predicting corporate collapse : a critical review of the selection and use of financial variables and ratios by popular prediction models

Hossari, Ghassan and Rahman, Sheikh F. 2005, Predicting corporate collapse : a critical review of the selection and use of financial variables and ratios by popular prediction models, in AGSE 2005 : Regional frontiers of entrepreneurship research 2005 : Complilation of papers of the second AGSE International Entrepreneurship Research Exchange, Swinburne University of Technology, The Australian Graduate School of Entrepreneurship, Hawthorn, Vic., pp. 531-531.

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Title Predicting corporate collapse : a critical review of the selection and use of financial variables and ratios by popular prediction models
Author(s) Hossari, Ghassan
Rahman, Sheikh F.
Conference name International Entrepreneurship Research Exchange (2nd : 2005 : Melbourne, Vic.)
Conference location Melbourne, Vic.
Conference dates 10-11 February 2005
Title of proceedings AGSE 2005 : Regional frontiers of entrepreneurship research 2005 : Complilation of papers of the second AGSE International Entrepreneurship Research Exchange
Editor(s) Gillin, L. Murray
Butler, John
Campbell, Alistair
Davidsson, Per
Frederick, Howard
Hindle, Kevin
La Pira, Frank
Lindsay, Noel
Massey, Claire
Selvarajah, Chris
Shepherd, Dean
Watson, John
Yencken, John
Publication date 2005
Conference series Australian Graduate School of Entrepreneurship International Entrepreneurship Research Exchange Conference
Start page 531
End page 531
Publisher Swinburne University of Technology, The Australian Graduate School of Entrepreneurship
Place of publication Hawthorn, Vic.
Keyword(s) xvi, 630 p.
ISBN 0855908106
9780855908102
Language eng
Field of Research 150201 Finance
Socio Economic Objective 970115 Expanding Knowledge in Commerce, Management, Tourism and Services
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2005, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005685

Document type: Conference Paper
Collection: Deakin Graduate School of Business
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