Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset ....Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset classes, and Value at Risk (VaR) thresholds. The innovative methods and models will permit both financial institutions and regulatory authorities to model VaR thresholds more accurately, and enable investment managers to regulate and benchmark their portfolios more effectively against international best practice.
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Should rational individuals be optimistic? Theory, survey evidence, experimental evidence, and policy implications. This project will help Australian policy makers design better information-revelation policies and will elevate the skill level of Australian research in behavioural economics. Insights we generate about how best to manage the public's expectations will enable policy design that strengthens Australia's social and economic fabric. We will disseminate the recommendations we generate ....Should rational individuals be optimistic? Theory, survey evidence, experimental evidence, and policy implications. This project will help Australian policy makers design better information-revelation policies and will elevate the skill level of Australian research in behavioural economics. Insights we generate about how best to manage the public's expectations will enable policy design that strengthens Australia's social and economic fabric. We will disseminate the recommendations we generate in a policy workshop at the end of our project. In terms of benefits to the level of science in Australia, the project will work with local data and local researchers, and will import into Australia new experimental medical equipment and the knowledge of how to use it. These benefits will help Australia progress to the forefront of behavioural economic research.Read moreRead less
Innovative financing mechanisms for higher education. Advances in statistical modelling are used to highlight the potential to apply creatively income contingent loans for the expansion of Australian and international higher education. Alternative student loan mechanisms for income support and tuition are critically analysed, and new arrangements are proposed for equitable reforms in higher education.
Australian Laureate Fellowships - Grant ID: FL110100247
Funder
Australian Research Council
Funding Amount
$2,461,000.00
Summary
Understanding the implications of population ageing for the future costs of funding health care, aged care and aged pensions in Australia. Decisions about health insurance, aged care, superannuation and retirement are often very complex, and most people find making the best choices extremely challenging. This project will develop new models and design new policies that can help people make better decisions in these areas, leading to greater well being in retirement.
Maximum likelihood estimation of the parameters of stochastic differential equations. The primary objective of this project is to develop efficient algorithms for estimating the parameters of stochastic differential equations (SDEs) by simulated and exact maximum likelihood. The research will draw on both parametric and non-parametric analysis in novel ways to construct estimation procedures that are computationally feasible. These methods will then be applied in the area of finance and used to ....Maximum likelihood estimation of the parameters of stochastic differential equations. The primary objective of this project is to develop efficient algorithms for estimating the parameters of stochastic differential equations (SDEs) by simulated and exact maximum likelihood. The research will draw on both parametric and non-parametric analysis in novel ways to construct estimation procedures that are computationally feasible. These methods will then be applied in the area of finance and used to estimate the parameters of stochastic-volatility models, thus contributing to knowledge in a prominent area of complex systems, namely financial risk. The execution of this collaborative project will deliver quality research training in the topical area of mathematical finance and produce high-calibre postgraduates.
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Discovery Early Career Researcher Award - Grant ID: DE150100309
Funder
Australian Research Council
Funding Amount
$328,614.00
Summary
Understanding the Dynamics of Socioeconomic Related Health Inequalities. Health differences across socio-economic groups have persisted in many countries, including Australia, despite decades of considerable improvements in life expectancy and average health status. Little is known of how policies may influence socio-economic health inequalities as the mechanisms underlying them are complex and the causes differ across population groups and over the lifecycle. This project aims to develop method ....Understanding the Dynamics of Socioeconomic Related Health Inequalities. Health differences across socio-economic groups have persisted in many countries, including Australia, despite decades of considerable improvements in life expectancy and average health status. Little is known of how policies may influence socio-economic health inequalities as the mechanisms underlying them are complex and the causes differ across population groups and over the lifecycle. This project aims to develop methods to quantify the major mechanisms that give rise to changes in socio-economic health inequalities in Australia. This project aims to improve our understanding of the dynamic factors that drive changes in health inequalities, thus providing useful information for decision makers about which policies will be cost effective at reducing them.Read moreRead less
Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis ....Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.Read moreRead less
Why poorer students are less likely to go to university: Theoretical and empirical evidence for Australia with implications for policy. This project will improve our understanding of the factors that lead to the under-representation of low income students in universities in Australia and other countries. The focus of the analysis will be the impact of a student's family and household environment and innate ability on their school performance, an essential pre-requisite for university admission, ....Why poorer students are less likely to go to university: Theoretical and empirical evidence for Australia with implications for policy. This project will improve our understanding of the factors that lead to the under-representation of low income students in universities in Australia and other countries. The focus of the analysis will be the impact of a student's family and household environment and innate ability on their school performance, an essential pre-requisite for university admission, together with the costs of university education. Identifying the relative importance of these factors in determining educational success will enable families, schools, universities and educational policy-makers to improve opportunities for high ability students from all socioeconomic backgrounds. This will in turn enhance economic growth and productivity, benefiting all Australians.Read moreRead less
Exploring Behavioural Responses of Motorists to Exposure-Based Charging Mechanisms. Our continued reliance on cars is estimated to cost the Australian economy around $50 billion per year in accidents, congestion and air pollution. This project delivers a new approach to reduce these externalities, in which charges are levied on drivers based on their accident history, the kilometres driven and the circumstances under which these kilometres are driven. In addition to the safety and congestion ben ....Exploring Behavioural Responses of Motorists to Exposure-Based Charging Mechanisms. Our continued reliance on cars is estimated to cost the Australian economy around $50 billion per year in accidents, congestion and air pollution. This project delivers a new approach to reduce these externalities, in which charges are levied on drivers based on their accident history, the kilometres driven and the circumstances under which these kilometres are driven. In addition to the safety and congestion benefits, the outcomes of the project will be of importance to those charged with raising revenue to support infrastructure maintenance and development, and the insurance industry as a basis for reducing risks in driving and making premiums more equitable.Read moreRead less
The training and job decisions of nurses: an integrated approach using panel surveys and dynamic discrete choice experiments. The nursing shortage in Australia is considered to be at crisis stage. The results of this study will lead to improved recruitment and retention of students in nursing, improved retention of new nurses in the health workforce, better design of nursing roles and job structure, and testing of the acceptability of changed health service delivery models. It will also lead to ....The training and job decisions of nurses: an integrated approach using panel surveys and dynamic discrete choice experiments. The nursing shortage in Australia is considered to be at crisis stage. The results of this study will lead to improved recruitment and retention of students in nursing, improved retention of new nurses in the health workforce, better design of nursing roles and job structure, and testing of the acceptability of changed health service delivery models. It will also lead to better health workforce planning. The study directly contributes to filling the gaps in health labour force quantitative studies identified in a recent Productivity Commission Report, and provides a basis for the implementation of the Commission's recommendations.Read moreRead less