Website
http://dataportal.arc.gov.au/NCGP/API/grants/LP0453884
Funding Status
Closed
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Funded Activity Summary
Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of the information provided to the models (including measures of strategy, recent accounting metrics, global context). We also challenge the merits of a universal model by developing and testing a novel hybrid intelligent approach combining neural networks, genetic algorithms and self-organising maps, applicable to global markets.Funded Activity Details
Start Date: 12-2004
End Date: 06-2008
Funding Scheme: Linkage Projects
Funding Amount: $70,668.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Financial Econometrics | Neural Networks, Genetic Alogrithms And Fuzzy Logic | Artificial Intelligence and Image Processing
