ARC Centre of Excellence in Population Ageing Research. This Centre intends to generate crucial knowledge to inform social and economic responses to population ageing, one of the most important issues of the 21st century. Population ageing exerts unprecedented pressures on social norms and policy institutions, both in Australia and around the world. Leading researchers from a range of disciplines will undertake multidisciplinary research to help governments, businesses, and consumers prepare for ....ARC Centre of Excellence in Population Ageing Research. This Centre intends to generate crucial knowledge to inform social and economic responses to population ageing, one of the most important issues of the 21st century. Population ageing exerts unprecedented pressures on social norms and policy institutions, both in Australia and around the world. Leading researchers from a range of disciplines will undertake multidisciplinary research to help governments, businesses, and consumers prepare for and make better decisions for an ageing world, with consequent social and economic benefits for families and communities expected to flow to Australia, the Asian region and the world.Read moreRead less
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
Early Career Industry Fellowships - Grant ID: IE230100435
Funder
Australian Research Council
Funding Amount
$431,000.00
Summary
Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agri ....Customising weather index insurance for agribusiness using machine learning. This project aims to customise weather index insurance (WII) by utilising machine learning techniques. WII is used as a type of risk management tool in the agriculture sector to transfer risk due to extreme weather events. Significantly this project expects to establish an accurate correlation between insurance payouts and actual losses and thus improve the WII uptake rate. This will effectively support farmers and agribusinesses in Australia to mitigate and adapt to climate change, help reduce the impact of climate change and ensure crop production and food security.Read moreRead less
Designing a Holistic Model of Advice to Improve Retirement Planning. We aim to improve retirement planning through the design and application of a new model integrating financial advice with career and health planning to optimise financial and psychological outcomes. We will test a multidisciplinary, holistic model of advice combining specialist knowledge in careers, health, and finances. Expected outcomes of the project include evaluating the use of a broader range of experts during retirement ....Designing a Holistic Model of Advice to Improve Retirement Planning. We aim to improve retirement planning through the design and application of a new model integrating financial advice with career and health planning to optimise financial and psychological outcomes. We will test a multidisciplinary, holistic model of advice combining specialist knowledge in careers, health, and finances. Expected outcomes of the project include evaluating the use of a broader range of experts during retirement planning and developing a model for the future training and development of financial advisers.By optimising the timing of workplace exit, we aim to decrease reliance on pensions and encourage earlier and on-going engagement in the retirement planning process. This will provide significant social and economic benefits.Read moreRead less
New methods for modelling real-world extremes. This project aims to develop new theory and methods for analysing and predicting extreme values observed in real-world processes. Many existing techniques are limited by convenient mathematical assumptions that commonly do not hold in practice: dependence at asymptotic levels, process stationarity, and that the observed data are direct measurements of the process of interest. As a result, using these techniques may produce undesirable results. Expec ....New methods for modelling real-world extremes. This project aims to develop new theory and methods for analysing and predicting extreme values observed in real-world processes. Many existing techniques are limited by convenient mathematical assumptions that commonly do not hold in practice: dependence at asymptotic levels, process stationarity, and that the observed data are direct measurements of the process of interest. As a result, using these techniques may produce undesirable results. Expected outcomes of this project include theoretically justified data analysis techniques that can accurately model extreme values seen in the real world. Project benefits include more realistic analyses of nationally important applications in climate, bushfire insurance risk, and anomaly detection.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
Information design, cognitive abilities and macro-economic stability. This project aims to improve our understanding of individual decision making in financial markets and its implications for macro-economic stability. Using laboratory and internet experiments, models of adaptive choice behaviour will be developed and validated. The project will help to gain insight into how past information, and the way it is presented, affects investment decisions, which individual characteristics matter for d ....Information design, cognitive abilities and macro-economic stability. This project aims to improve our understanding of individual decision making in financial markets and its implications for macro-economic stability. Using laboratory and internet experiments, models of adaptive choice behaviour will be developed and validated. The project will help to gain insight into how past information, and the way it is presented, affects investment decisions, which individual characteristics matter for decisions, and how this behaviour translates into the evolution of aggregate macro-economic variables. The expected outcomes of the project will have the potential to improve the design of tools for better individual financial decision making, to stabilize volatile markets and to enhance economic welfare.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101266
Funder
Australian Research Council
Funding Amount
$420,039.00
Summary
Demystifying Puzzles in Retirement Planning. This project aims to investigate optimal retirement planning with stochastic and ambiguous mortality/longevity risks not previously considered in a unifying framework. By using an innovative approach utilising techniques from actuarial science, financial mathematics and stochastic control, this project expects to generate new knowledge in the area of personal longevity risk management. Expected outcome of the project include new insights to several pu ....Demystifying Puzzles in Retirement Planning. This project aims to investigate optimal retirement planning with stochastic and ambiguous mortality/longevity risks not previously considered in a unifying framework. By using an innovative approach utilising techniques from actuarial science, financial mathematics and stochastic control, this project expects to generate new knowledge in the area of personal longevity risk management. Expected outcome of the project include new insights to several puzzling questions in retirement studies. This should provide significant benefits to retirement education for retirees facing the risk of outliving retirement savings, thereby mitigating the pressing challenge caused by population ageing and longevity risk to pension systems in many countries.Read moreRead less
Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of dep ....Socially Responsible Insurance in the Age of Artificial Intelligence. This project aims to discover the social costs and benefits of using Artificial Intelligence in insurance, and to design practical interventions—responsible design workshops, practical guidance, regulatory proposals, new algorithmic tools—that realise the benefits while mitigating the costs. It expects to generate new knowledge drawing on philosophy, law and sociology, working closely with practitioners at the forefront of deploying AI in insurance. Expected outcomes include novel ethical AI-based approaches to product design, pricing and claims administration. This should benefit insurers and consumers, realising efficiency gains made possible by AI, without unacceptable costs to privacy, fairness, and the unaccountable exercise of power. Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less