Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk f ....Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk factors, and increase global competitiveness by hedging against competitors' good weather-related advantage. The US weather derivative market, capitalised at over US$7.5b, began just 7 years ago; there is no organised Australian market. This project's smart techniques for improving pricing accuracy will support the development and vigorous growth of a local market.Read moreRead less
Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the ....Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the potential to be a significant improvement in the real-time identification of emerging turmoil in financial markets and provide an improved method for the detection of systemic risk. The new test procedure will be implemented using data for financial and non-financial institutions across Europe, the US and Australia.Read moreRead less
Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus ....Inequality of opportunity in Australia. This project aims to develop econometric approaches for identifying opportunity gaps in Australia and other developed countries. Inequality of opportunity arises when the birth lottery or external factors in later life, rather than personal efforts, determine a person’s chances of economic success. A high level of inequality of opportunity holds people back from realising their potential and from contributing productively to society. The project will focus on the effect of inequality of opportunity on income, health and education with special emphasis placed on Indigenous and migrant populations. The findings should help formulate cost-efficient policy interventions aimed at levelling the economic playing field.Read moreRead less
Estimation of the continuous piecewise linear model and macroeconomic applications. Relationships between economic variables are often characterised by non-linearities. This project develops a method to analyse a type of non-linearity that is frequently encountered in economics and uses this method to study four specific applications concerning the dynamics of inflation, growth, and the exchange rate.
Financial Instability and Risk Management: New Statistical Treatment of the Occurrence and Persistence of Shocks in International Markets. Global economies are complex systems: their complexity is increasing due to market connectivity, borderless trading and rapid electronic transactions. This collaboration will improve understanding of market interdependence, important because of its profound macroeconomic influence on individual consumersf decisions and corporate investment. A novel combinati ....Financial Instability and Risk Management: New Statistical Treatment of the Occurrence and Persistence of Shocks in International Markets. Global economies are complex systems: their complexity is increasing due to market connectivity, borderless trading and rapid electronic transactions. This collaboration will improve understanding of market interdependence, important because of its profound macroeconomic influence on individual consumersf decisions and corporate investment. A novel combination of nonlinear time series and dynamical systems theories will be used to describe propagation and persistence of market shocks. Focusing on smart information use and innovation economies, this project will deliver publications on new practical econometric methodologies, training for early career researchers, and a strong sustainable research relationship between Australia and France.Read moreRead less
Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin ....Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.Read moreRead less
New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticip ....New approaches to the statistical modelling of financial risk: combining structural information with flexible, computationally-intensive non-parametric methods. The aims of this project are to provide a range of novel, rigorous, flexible, statistical methods to assess portfolio risk, with due attention to behaviour of its constituent components; to obtain greater understanding of the complexities of risk; and to give students research training in the nexus of statistics and finance. The anticipated outcomes of this project will be detailed knowledge of extremal behaviour in portfolios, improved methods for calibrating risk, advances in non-parametric methods in finance, a prototype practitioner toolkit for assessing risk, and high-calibre graduates to contribute to Australia's research capacity.Read moreRead less
Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as vo ....Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as volatility in price series, extremal (risky) behaviour of financial systems, and turning points of the business cycle. Discoveries will be disseminated through published papers and presentations at a major international conference. Ongoing e-research links with France will also be established.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
Modelling Income Distributions over Space and Time: 1985-2010. The aim of this project is to develop and use interpolation and extrapolation methods, designed to overcome data scarcity, to estimate annual income distributions for countries, regions and the world for the period 1985 to 2010, facilitating measurement and comparison of changes in inequality, per capita income, poverty, and pro-poor growth, at national, regional and global levels. Reliable estimates of these welfare measures provide ....Modelling Income Distributions over Space and Time: 1985-2010. The aim of this project is to develop and use interpolation and extrapolation methods, designed to overcome data scarcity, to estimate annual income distributions for countries, regions and the world for the period 1985 to 2010, facilitating measurement and comparison of changes in inequality, per capita income, poverty, and pro-poor growth, at national, regional and global levels. Reliable estimates of these welfare measures provide valuable information for policy advisors and other researchers interested in growth and welfare of society.Read moreRead less