Forecasting and Financing Healthy Ageing and Aged Care in Australia. This project aims to quantify future risks of chronic illness and functional disability in retirement, proposing financing strategies aimed at enhancing healthy ageing, lifestyle quality and aged care provisions. The project devotes to devising a framework integrating government and private sector participation in funding health costs which increase significantly in older ages. The expected outcome includes sustainable retireme ....Forecasting and Financing Healthy Ageing and Aged Care in Australia. This project aims to quantify future risks of chronic illness and functional disability in retirement, proposing financing strategies aimed at enhancing healthy ageing, lifestyle quality and aged care provisions. The project devotes to devising a framework integrating government and private sector participation in funding health costs which increase significantly in older ages. The expected outcome includes sustainable retirement income scenarios for easing fiscal pressure from social initiatives such as age pension and aged care financing at the same time improving living standards for seniors. The project expects to place Australia at the forefront of research on sustainable solutions to financial challenges facing retirees.Read moreRead less
Quantitative Analysis of Systemic Risk in Insurance. This project aims to achieve a contemporary and comprehensive quantitative analysis of systemic risk in insurance. The significance lies in narrowing the gap between the studies of systemic risk in banking and insurance. Expected outcomes include the construction of insurance/reinsurance networks to formalise systemic risk, the analysis of the role of network integration, and the development of pricing frameworks to entail a systemic risk prem ....Quantitative Analysis of Systemic Risk in Insurance. This project aims to achieve a contemporary and comprehensive quantitative analysis of systemic risk in insurance. The significance lies in narrowing the gap between the studies of systemic risk in banking and insurance. Expected outcomes include the construction of insurance/reinsurance networks to formalise systemic risk, the analysis of the role of network integration, and the development of pricing frameworks to entail a systemic risk premium. The project will benefit insurers and regulators by providing a forward-looking approach to monitoring and assessing insurance risk during a systemic crisis. These important original contributions to insurance risk management will help establish Australia’s global leadership in systemic risk.Read moreRead less
The impact of payout policy changes on firm value and short selling activities across different taxation regimes. Brealey et al (2011) assert that we don't know enough yet about how payout policy varies across firms. This project examines the information content of dividend changes and repurchase programs and the long-term market impact of these announcements, controlling for the substitution effect of repurchases/dividends in different institutional/tax regimes. This project also examines wheth ....The impact of payout policy changes on firm value and short selling activities across different taxation regimes. Brealey et al (2011) assert that we don't know enough yet about how payout policy varies across firms. This project examines the information content of dividend changes and repurchase programs and the long-term market impact of these announcements, controlling for the substitution effect of repurchases/dividends in different institutional/tax regimes. This project also examines whether short sellers manifest abnormal behaviour around the announcement of dividend changes and repurchase programs, and whether earnings are manipulated upwards to maintain the dividend or downwards prior to the announcement of repurchase programs. The findings will be of major interest to academics, managers, investors and regulators.Read moreRead less
Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. T ....Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. The new paradigm should produce significant benefits for all fields in which the consequences of predictive inaccuracy are severe. Problems that lead to substantial economic, financial or environmental loss if predictions are incorrect will be given particular attention.Read moreRead less
What women want: unravelling the factors underlying women's financial decision-making behaviour. By the time women retire, they are generally worse off financially than men. This national study will be the first to measure the impact of underlying factors that explain rather than describe the financial decision-making behaviour of women, and how financial decision-making and economic outcomes for women might be improved.
The validation of approximate Bayesian computation. This project aims to establish the theoretical validity of approximate Bayesian computation (ABC) and to develop diagnostic methods for assessing its reliability in empirical applications. Given the increased complexity of modern statistical models, new ways of conducting statistical inference are needed. Approximate Bayesian computation is a new statistical tool. This project expects its findings will be useful in all fields where complex phen ....The validation of approximate Bayesian computation. This project aims to establish the theoretical validity of approximate Bayesian computation (ABC) and to develop diagnostic methods for assessing its reliability in empirical applications. Given the increased complexity of modern statistical models, new ways of conducting statistical inference are needed. Approximate Bayesian computation is a new statistical tool. This project expects its findings will be useful in all fields where complex phenomena feature and approximate methods are the only feasible way of understanding those phenomena.Read moreRead less
Semi-parametric bootstrap-based inference in long-memory models. Given the long lead times involved in implementing economic decisions, a clear understanding of the long-term dynamics driving key variables is crucial. This project will produce significant advances in the analysis of long-range dependence, with decisions underpinned by more accurate and robust statistical information as a consequence.
Extreme Value Theory Approaches to Insurance in a Catastrophic Environment. Recent decades are marked by numerous significant natural (climate change) or man-made (financial crises) catastrophes, which have significantly altered the landscape of the insurance industry. These have potentially significant negative impacts on the availability and affordability of insurance, and hence on the capability and capacity of households and businesses to take risks and be competitive. This project endeavour ....Extreme Value Theory Approaches to Insurance in a Catastrophic Environment. Recent decades are marked by numerous significant natural (climate change) or man-made (financial crises) catastrophes, which have significantly altered the landscape of the insurance industry. These have potentially significant negative impacts on the availability and affordability of insurance, and hence on the capability and capacity of households and businesses to take risks and be competitive. This project endeavours to establish progressive approaches (using extreme value theory) to the challenges faced by insurance in such a catastrophic environment. They will enhance the financial stability and competitivity of the Australian economy, and further establish its global leadership in dealing with climate changes and catastrophes.Read moreRead less
An international study of seasoned equity offerings: long term returns, earnings management, liquidity, ownership structure, and financial crisis. This study will provide critical insights into the impact of alternative mechanisms for seasoned equity offerings on liquidity and firm value. Considering the lack of confidence in financial markets during the financial crisis, this study will have significant implications regarding the current use and regulation of seasoned equity offerings.
Approximate Bayesian computation in state space models. Economic and financial data frequently exhibit dynamic patterns, driven by unobserved processes that relate to the behaviour of economic agents, or to institutional and technological change. To gain insight into such 'latent' processes is of paramount importance in terms of both understanding the economy and producing accurate, readily up-dated, forecasts of its future performance. Using a Bayesian approach, new simulation-based statistical ....Approximate Bayesian computation in state space models. Economic and financial data frequently exhibit dynamic patterns, driven by unobserved processes that relate to the behaviour of economic agents, or to institutional and technological change. To gain insight into such 'latent' processes is of paramount importance in terms of both understanding the economy and producing accurate, readily up-dated, forecasts of its future performance. Using a Bayesian approach, new simulation-based statistical methods for analysing latent variable models are proposed. Emphasis is given to the development of relatively simple techniques that are applicable to a wide range of empirically relevant models, with a view to improving the access of non-specialists to this powerful form of statistical analysis.Read moreRead less