Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater pre ....Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater precision. The techniques developed in this project will facilitate the understanding and communication of monetary policy within the central banks concerned, and enhance communication of monetary policy strategy to the public.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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ASEAN+3 Free Trade Agreement and Its Impact on Australia-Vietnam Trade. The ASEAN+3 (China, Japan and Korea) free trade agreement endorsed by ASEAN Leaders in 2001 poses a serious trade diversion threat to Australia's goods and services trade to ASEAN and North Asia (reaching $33.9b and $85.0b respectively in 2001, see DFAT 2003). No research on this has been done or reported. The project, with Vietnam Institute for Trade collaboration, uses new analytical and empirical approaches to investigate ....ASEAN+3 Free Trade Agreement and Its Impact on Australia-Vietnam Trade. The ASEAN+3 (China, Japan and Korea) free trade agreement endorsed by ASEAN Leaders in 2001 poses a serious trade diversion threat to Australia's goods and services trade to ASEAN and North Asia (reaching $33.9b and $85.0b respectively in 2001, see DFAT 2003). No research on this has been done or reported. The project, with Vietnam Institute for Trade collaboration, uses new analytical and empirical approaches to investigate this FTA and its implications to Australia's trade to a major ASEAN country, namely Vietnam, where 2002 trade reached $2.8b and Australia's global companies (eg. ANZ, Telstra, RMIT) currently have large operation.Read moreRead less
Financing aged care in Australia: Mitigating fiscal gaps and maintaining intergenerational equity. Aged care has been identified as a significant contributor to the growing fiscal problems predicted for Australian government finances during the next 10 to 20 years. This project will develop the cutting-edge modelling tools needed to allow Australia to make informed decisions about possible reforms in aged care financing. It will create significant national benefits by allowing detailed assessmen ....Financing aged care in Australia: Mitigating fiscal gaps and maintaining intergenerational equity. Aged care has been identified as a significant contributor to the growing fiscal problems predicted for Australian government finances during the next 10 to 20 years. This project will develop the cutting-edge modelling tools needed to allow Australia to make informed decisions about possible reforms in aged care financing. It will create significant national benefits by allowing detailed assessment of the distributional impact of a wide range of possible reforms, including how the outcomes of any policy change will affect disadvantaged sections of our society, whether different generations will be fairly treated, and the impact by gender.Read moreRead less
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
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.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