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
Towards a superannuation system fit for the future. Towards a superannuation system fit for the future. This project aims to develop a stochastic superannuation model and propose alternative post retirement solutions, using data-led understanding of savings habits. Funding for the increasing cost of the growing older population will, if not modelled, forecast and managed adequately, swamp all other welfare and state funded costs. To manage older age costs adequately, governments need to encourag ....Towards a superannuation system fit for the future. Towards a superannuation system fit for the future. This project aims to develop a stochastic superannuation model and propose alternative post retirement solutions, using data-led understanding of savings habits. Funding for the increasing cost of the growing older population will, if not modelled, forecast and managed adequately, swamp all other welfare and state funded costs. To manage older age costs adequately, governments need to encourage people to save and provide ways people can save—but need to better understand how people save money for their old age. This research is expected to enable the “superannuation change“ necessary for the superannuation system to remain sustainable and fund retirees to live well.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
Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of ....Investment Approaches and Applications in Financial Markets: Evolutionary Kernel Based Subset Time-Series Using Semi-Parametric Approaches. The project will develop new investment assessments based on subset time-series modeling. Innovative evolutionary kernel smoothing algorithms using semi-parametric approaches will be introduced. The project will make three important applications of this modeling in financial markets: a) benchmarking and evaluation of inflation-indexed bonds; b) evaluation of the performance of global diversified investment funds; and c) prediction to provide early warning of the emergence of destabilising deflation or inflation. These three applications will lead to improved risk management practices and investment performance. Recursive algorithms will provide new statistical methods to study investment asset price movements and market volatility.
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Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in th ....Investment approaches and opportunities in renewable energy and financial resource markets, using semi-parametric approaches to evolutionary subset time-series lattice-ladder modelling. The project findings will help Australian exporters and importers understand and manage energy and resource price risks more effectively. The investment community will benefit through selecting optimal asset allocations and enhancing value to investors. It will also benefit many other agencies, particularly in the service industries. It is not well recognised that in developed countries, including Australia, the financial service and related sectors account for more than 60 percent of economic activity and employment, so it is critical that more sophisticated statistical methods be established, and practical applications conducted, in order to advance the understanding of complexity management in the financial service and related sectors.Read moreRead less
Developing a responsive regulatory system for Australia's small corporations. Small corporations employ approximately 50% of Australia's 10.5 million employed persons (ABS: Nov 2007). Promoting and maintaining small corporations is vital to the health of the Australian economy and the well being of society. This research will strengthen Australia's social and economic fabric by identifying, in consultation with regulators, industry leaders, government, the ideal regulatory environment for Aust ....Developing a responsive regulatory system for Australia's small corporations. Small corporations employ approximately 50% of Australia's 10.5 million employed persons (ABS: Nov 2007). Promoting and maintaining small corporations is vital to the health of the Australian economy and the well being of society. This research will strengthen Australia's social and economic fabric by identifying, in consultation with regulators, industry leaders, government, the ideal regulatory environment for Australia's small corporations. A responsive regulatory framework will enable small corporations to conduct business more efficiently and profitably allowing for and creating structures and processes for encouraging and managing innovation creativity in this vital sector.Read moreRead less
Eddy-resolving global ocean-sea ice modelling. Eddy-resolving global ocean-sea ice modelling. This project aims to develop a world-class global ocean-sea ice model framework through a nationwide consortium. The resulting high resolution models are expected to provide the foundation for the next decade of Australian ocean-sea ice modelling capacity. This research should lead to improved ocean and sea ice prediction, ocean reanalyses, and climate projections, enhancing Australia's capacity to pred ....Eddy-resolving global ocean-sea ice modelling. Eddy-resolving global ocean-sea ice modelling. This project aims to develop a world-class global ocean-sea ice model framework through a nationwide consortium. The resulting high resolution models are expected to provide the foundation for the next decade of Australian ocean-sea ice modelling capacity. This research should lead to improved ocean and sea ice prediction, ocean reanalyses, and climate projections, enhancing Australia's capacity to predict the ocean state on timescales of days to decades. This is expected to yield efficiencies in shipping, marine search and rescue and naval operations, and increase the accuracy of projected future changes in climate, sea level, ocean ecosystems and the cryosphere.Read moreRead less
Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilit ....Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilities, and released for community use. These developments underpin future ocean state forecasts, sea ice forecasts, wave forecasts, decadal climate prediction and climate process studies. The project will benefit search and rescue, Defence and shipping operations, and will enhance future climate projections.Read moreRead less
Using Mathematics to Maximize the Efficiency of Shared Infrastructure in Australia's Coal Export Supply Chain. Port Waratah Coal Services operates the world's largest coal export terminal, servicing about 14 coal mining companies in the Hunter Valley, NSW. It is responsible for around $15 billion in annual export income for Australia. The coal supply chain is a complex operation, hampered by bottlenecks in critical shared infrastructure. Such limitations are estimated to cost Australia about $2 ....Using Mathematics to Maximize the Efficiency of Shared Infrastructure in Australia's Coal Export Supply Chain. Port Waratah Coal Services operates the world's largest coal export terminal, servicing about 14 coal mining companies in the Hunter Valley, NSW. It is responsible for around $15 billion in annual export income for Australia. The coal supply chain is a complex operation, hampered by bottlenecks in critical shared infrastructure. Such limitations are estimated to cost Australia about $2 billion pa in lost sales. This project will support the design of new infrastructure and processes to ensure an efficient supply chain. The new science resulting will benefit other coal operations in Australia, and potentially other bulk goods supply chains.Read moreRead less
Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there ....Seasonal adjustment using disaggregated short time span data. Seasonally adjusted economic and social times series are vital information used by governments and businesses in decision making. This project will develop statistical methods to estimate and remove seasonal factors from economic and social time series using finely disaggregated data for a relatively small number of time periods. This will enable better and quicker estimation of seasonal factors when new series are introduced or there a major changes to existing series, improving the analysis of such series and the decisions based on them.Read moreRead less