Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989986
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
Hybrid Fourier Transform Dispersive Raman Micro-Spectrometer. This facility will be used in a wide range of existing and new research projects in government priority areas such as the development of new materials, frontier technologies for building and transforming existing industries, better understanding of diversity and functioning in mycorrhizal and other fungi in forest soils and plant roots and developing new characterisation methods for forensic investigations. The proposed equipment aims ....Hybrid Fourier Transform Dispersive Raman Micro-Spectrometer. This facility will be used in a wide range of existing and new research projects in government priority areas such as the development of new materials, frontier technologies for building and transforming existing industries, better understanding of diversity and functioning in mycorrhizal and other fungi in forest soils and plant roots and developing new characterisation methods for forensic investigations. The proposed equipment aims to provide outstanding opportunities for the training of research students, expanding research in the fields of materials, minerals, geological, environmental and forensic science enabling to maintain Australia's lead and competitiveness in cutting edge research and technology. 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