Web Services Reputation Management. This project directly supports the National Research Priority 4: Safeguarding Australia. More specifically, it aims at creating mechanisms that will make it more difficult to use the Internet as a platform for launching attacks against the business processes of Australian organisations that provide and consume Web services. At the same time this will stimulate the establishment of high quality WS markets. As direct social benefit of this research, Australian o ....Web Services Reputation Management. This project directly supports the National Research Priority 4: Safeguarding Australia. More specifically, it aims at creating mechanisms that will make it more difficult to use the Internet as a platform for launching attacks against the business processes of Australian organisations that provide and consume Web services. At the same time this will stimulate the establishment of high quality WS markets. As direct social benefit of this research, Australian organisations will be able to integrate the best quality Web services as part of their business processes, and thereby avoid being negatively impacted by low quality and deceptive Web services. Read moreRead less
Special Research Initiatives - Grant ID: SR0354895
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statist ....Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statistics, actuarial science, financial mathematics, market micro-structure, accounting and information systems. FIRN will be supported by SIRCA's world-class financial research infrastructure and industry network. It will deliver a range of innovative research, educational, professional development and applied outcomes.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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Centre for Mathematical and Statistical Modelling of Complex Systems. This Centre, formed by a group of high-profile researchers, brings expertise from linked but hitherto disparate areas together. It will place Australia at the forefront of research into complex systems.
The mission of the Centre is to stimulate research in mathematical and statistical modelling of complex systems and to encourage cross-fertilisation of ideas and techniques. The specific objectives are
- to formulate and ana ....Centre for Mathematical and Statistical Modelling of Complex Systems. This Centre, formed by a group of high-profile researchers, brings expertise from linked but hitherto disparate areas together. It will place Australia at the forefront of research into complex systems.
The mission of the Centre is to stimulate research in mathematical and statistical modelling of complex systems and to encourage cross-fertilisation of ideas and techniques. The specific objectives are
- to formulate and analyse mathematical and statistical models for natural and artificial complex systems,
- to use these models to develop an understanding of the behaviour of these systems
- to incorporate this understanding into strategies for management and control.Read moreRead less
Dynamic Asset Pricing and Portfolio Decision Rules under Heterogeneous Expectations and Adaptive Learning. The outcomes of this project will provide two benefits to Australian financial market researchers in academe, in industry and financial market regulators. First, a better theoretical and empirical foundation for understanding and analysing optimal portfolio decision rules in a setting that captures many realistic features of market behaviour such as heterogeneity of investor types and adapt ....Dynamic Asset Pricing and Portfolio Decision Rules under Heterogeneous Expectations and Adaptive Learning. The outcomes of this project will provide two benefits to Australian financial market researchers in academe, in industry and financial market regulators. First, a better theoretical and empirical foundation for understanding and analysing optimal portfolio decision rules in a setting that captures many realistic features of market behaviour such as heterogeneity of investor types and adaptive behaviour by market participants. Second, new tools to more effectively understand and manage portfolio risk in financial markets. Consequently Australia will have a more efficient and competitive financial system. It also has the potential to lead to the development of more finance related industries such as financial market software.Read moreRead less
Disperse or die: the evolution of dispersal ability in a changing climate. Whether or not climate change will affect a species depends upon the ability of ecological communities to track climate change. Species that rapidly shift their range in response to climate change will not be unduly affected, whereas species that are stuck in one place are at extreme risk from a changing climate (they must either adapt, or perish). We need, therefore, a firm understanding of how, and how rapidly, specie ....Disperse or die: the evolution of dispersal ability in a changing climate. Whether or not climate change will affect a species depends upon the ability of ecological communities to track climate change. Species that rapidly shift their range in response to climate change will not be unduly affected, whereas species that are stuck in one place are at extreme risk from a changing climate (they must either adapt, or perish). We need, therefore, a firm understanding of how, and how rapidly, species shift their range. This project will develop a universal framework within which to model species' responses to climate change. As such, the project will contribute greatly to how we plan for, and manage, the effects of climate change.Read moreRead less
Developing a robust model for pricing inter-related volatility-based financial derivative contracts. Volatility-based financial contracts were developed in the late 1990s to provide an easy way for investors to gain exposure to the future level of volatility and thus provide a means by which they could speculate on its future levels and also hedge unpredictable volatility risk. This would potentially save them from losing vast quantities of money. However these products can only be efficient pr ....Developing a robust model for pricing inter-related volatility-based financial derivative contracts. Volatility-based financial contracts were developed in the late 1990s to provide an easy way for investors to gain exposure to the future level of volatility and thus provide a means by which they could speculate on its future levels and also hedge unpredictable volatility risk. This would potentially save them from losing vast quantities of money. However these products can only be efficient products for trading and risk management if they are priced correctly. This project will benefit investors by providing empirically viable models that will be able to be easily implemented to provide accurate and fast pricing solutions.Read moreRead less
Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This resear ....Joint System Identification for Point Processes and Time-series. In various application areas such as neurophysiology, earthquake modeling, price spikes in electricity markets, the data of interest are point processes (aka sequences of events) or combinations of point processes and analog signals. To understand the underlying subject of interest we need to be able to extract the maximum information from these observation sequences. The current tools for doing this are very limited. This research program will develop the complex signal processing and system methodology needed to create a suitable tool set.Read moreRead less
Multi-Group Stochastic Modelling of Population Balance for Gas-Liquid Flows. Multiphase flow systems are encountered in many process industries such as chemical, petroleum, mining, nuclear, energy, food and pharmaceutical, which are fundamental to the Australian economy. Commercially available computer codes for simulating such systems are currently widely used in many Australian industrial sectors. This research project will address the prevalent deficiency in many of these computer codes and ....Multi-Group Stochastic Modelling of Population Balance for Gas-Liquid Flows. Multiphase flow systems are encountered in many process industries such as chemical, petroleum, mining, nuclear, energy, food and pharmaceutical, which are fundamental to the Australian economy. Commercially available computer codes for simulating such systems are currently widely used in many Australian industrial sectors. This research project will address the prevalent deficiency in many of these computer codes and develop new models capable of predicting a wide range of industrial bubbly flow problems. The resultant improved computer codes will provide industries with significant benefits and, in particular, reduce times and costs in their design and production. Read moreRead less
Risk Measurement for Large Portfolios under the Benchmark Approach. The measurement of risk for large portfolios, consisting of basic assets and derivatives, will play a key role in future risk management systems. Based on a new characterization of asymptotic portfolios this project proposes the development, implementation and testing of highly efficient new risk measurement methodologies suitable for portfolios with hundreds or thousands of instruments. Comparisons with standard and new simulat ....Risk Measurement for Large Portfolios under the Benchmark Approach. The measurement of risk for large portfolios, consisting of basic assets and derivatives, will play a key role in future risk management systems. Based on a new characterization of asymptotic portfolios this project proposes the development, implementation and testing of highly efficient new risk measurement methodologies suitable for portfolios with hundreds or thousands of instruments. Comparisons with standard and new simulation methods will demonstrate their superiority. The outcomes of this project will give the Australian industry and the industry partner a competitive advantage in the measurement and management of risk for large portfolios as superannuation funds or portfolios of banks.Read moreRead less