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 th ....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.Read moreRead less
Valuations and Business Models for Biotechnology Companies. The primary aim of this project is to reduce the risk involved in investment in biotechnology companies by developing a model that will aid in a more accurate assessment of their value. This project will also develop commercialisation pathways incorporating valuation modeling techniques that will maximise the commercial potential of the intellectual capital portfolios held by biotechnology companies. By developing new models that accoun ....Valuations and Business Models for Biotechnology Companies. The primary aim of this project is to reduce the risk involved in investment in biotechnology companies by developing a model that will aid in a more accurate assessment of their value. This project will also develop commercialisation pathways incorporating valuation modeling techniques that will maximise the commercial potential of the intellectual capital portfolios held by biotechnology companies. By developing new models that account for the specific variables of the biotechnology industry, this project will contribute new knowledge and advance development of valuation models applicable to other knowledge-based industries which share characteristics such as intangible assets, high risk, complexity and uncertainty.Read moreRead less
Censored Regression Techniques for Credit Scoring. This project will apply censored regression techniques to a loans database from the industry partner, the ANZ bank. We will accurately estimate the actual time to loan repayment, rather than simply the risk of default. In a novel approach for credit scoring we will build a model using current, right-censored, rather than historic data, incorporating loans that are not yet repaid but are underway and clearly have a length of loan longer than obse ....Censored Regression Techniques for Credit Scoring. This project will apply censored regression techniques to a loans database from the industry partner, the ANZ bank. We will accurately estimate the actual time to loan repayment, rather than simply the risk of default. In a novel approach for credit scoring we will build a model using current, right-censored, rather than historic data, incorporating loans that are not yet repaid but are underway and clearly have a length of loan longer than observed. This approach has the immense advantage of being able to reflect contemporary borrowing patterns in the model, rather than relying on historic trends.
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