English, Article edition: PREDICTING FINANCIAL DISTRESS IN THE AUSTRALIAN FINANCIAL SERVICE INDUSTRY JULIANA YIM; HEATHER MITCHELL

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Bookmark: http://trove.nla.gov.au/version/166742
Physical Description
  • article
Language
  • English

Edition details

Title
  • PREDICTING FINANCIAL DISTRESS IN THE AUSTRALIAN FINANCIAL SERVICE INDUSTRY
Author
  • JULIANA YIM
  • HEATHER MITCHELL
Physical Description
  • article
Notes
  • This paper looks at the ability of a relatively new technique, a non-linear extension of the Granger thick model concept, hybrid ANN's, to predict failure of financial service firms in Australia. These models are compared with traditional statistical techniques and conventional ANN models. The results suggest that hybrid neural networks outperform all other models in predicting failure for up to two years prior to the event. This suggests that for researchers, policymakers and others interested in early warning systems, hybrid network may be a useful tool for predicting firm failure. Copyright 2007 The AuthorsJournal compilation 2007 Blackwell Publishing Ltd/​ University of Adelaide and Flinders University .
  • RePEc:bla:ausecp:v:46:y:2007:i:4:p:375-388
Language
  • English
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