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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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
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
The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormou ....The improvement of investment approaches by developing and applying bootstrap methods to innovative evolutionary kernel-based subset time-series modelling. With over $1 trillion of investors' monies in the hands of fund managers, the importance of efficient investment decisions across all industry sectors is self evident. Even if the modest target of systematically improving decision making by 1 or 2 % is set, the aggregate economic benefit achieved, given the compounding effects will be enormous. Any developed or developing country will profit from such advanced decision-making approaches. Therefore 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 investment and other relevant sectors.Read moreRead less
Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlyin ....Visual Analytics for Next Generation Sequencing. Next-generation sequencing technologies have brought a revolution in biology and healthcare, while taxing the ability of scientists and clinicians to identify and process relevant data, to make sense of it all and communicate it to others in a concise and meaningful way. This project aims to tackle this problem through fundamentally new approaches to data selection and visualisation at very large scale, actively encoding for insight into underlying biological and biomedical processes, bringing sustainable discovery of new relationships and variations within the data. The project aims to support new approaches to medical diagnosis and treatment, and offer crucial lessons to address the broader challenge of understanding large, complex data sets.Read moreRead less
Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learnin ....Computational Intelligence for Complex Structured Data. This project aims to use computational intelligence techniques to reliably learn adaptive natural human pointing and gestures to control an interface on a pseudo-3D display. Highly complex data with interconnections between elements is hard to visualise on screens. Most current tools are operated using point/click/drag on 2D screens. The physical technology to capture appropriate human behaviours exists already, but not the adaptive learning of the syntax and semantics of individual gestures and actions, nor the multi-gesture information fusion required for understanding, which could significantly enhance efficiency, for example, in sorting through named entities in an investigation. All of this is done naturally by most human beings, using biological neural networks.Read moreRead less
Innovative Technology for At-Scene Forensic Analysis using Microfluidics and Chemiluminescence. The major outcome of this project will be innovative reagents and strategies optimised for the detection of priority analytes such as drugs, explosives and chemical warfare agents. These will utilise a new technology platform based upon laboratory on a chip/microfluidics to enable the development of analytical methodologies suitable for use at crime scenes.This programme of research falls within a Nat ....Innovative Technology for At-Scene Forensic Analysis using Microfluidics and Chemiluminescence. The major outcome of this project will be innovative reagents and strategies optimised for the detection of priority analytes such as drugs, explosives and chemical warfare agents. These will utilise a new technology platform based upon laboratory on a chip/microfluidics to enable the development of analytical methodologies suitable for use at crime scenes.This programme of research falls within a National Research Priority namely 'Protecting Australia from terrorism and crime'. Through our current forensic science research collaboration the outcomes will build significantly on Australia's existing strengths in rapid detection using new analytical technologies.Read moreRead less
Robotics for the Real World: A Museum Tourguide Robot. This project will develop a tour guide robot for deployment into a real-world situation: providing tours at the Questacon museum in Canberra. Previously developed tour guide robots have all been limited in nature, similar to one-off laboratory experiments. This project aims to develop a world first: a truly robust and autonomous mobile robot that is continuously in service. This is a vital area for the future of robotics and has potential ....Robotics for the Real World: A Museum Tourguide Robot. This project will develop a tour guide robot for deployment into a real-world situation: providing tours at the Questacon museum in Canberra. Previously developed tour guide robots have all been limited in nature, similar to one-off laboratory experiments. This project aims to develop a world first: a truly robust and autonomous mobile robot that is continuously in service. This is a vital area for the future of robotics and has potential for spin-offs. The project will also develop necessary research results in the areas of mapping of dynamic environments, demonstrable safety, human-robot interaction, robot robustness and reliability, and Internet-based teleoperation.Read moreRead less
Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be ....Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be seen as protecting the security of power infrastructure as well. Maintaining a critical energy infrastructure protects our way of life and ensures ongoing social, economic and environmental well being of Australia.Read moreRead less
The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement fr ....The Dynamics of Low Income, Welfare reliance, and Changes in the Family Stucture of Parents with Dependent children. We build a new seven-year longitudinal database, from FaCS administrative records and supplementary surveys, for low income parents with dependent children to analyse the dynamics of, and interrationships among, changes in family structure, income and welfare reliance. We identify and analyse exit and entry routes from low income, short and long run welfare receipt and movement from one program to another, and highlight locational/regional variations in these movements. The project will help policy makers evaluate the impacts of existing programs and will change the nature and significance of Australian research and policy development in welfare dependency and support.Read moreRead less