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
The value of financial planning advice - process and outcome effects on consumer well-being. Knowledge of how financial advice contributes to consumer well-being is vital as industry and policy-makers strive to professionalise financial planning and enhance the quality of advice. Outcomes of this research project will inform policy debate and industry practices for improving the value of financial planning advice to consumers and their well-being.
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
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
Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contr ....Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach. The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contributors through sensing and active sharing, as well as novel interaction and visualisation approaches to aid in the analysis of the resulting data. The project intends to benefit both the insurers and the insured by making non-traditional data sources available for risk assessment and prevention.Read moreRead less
Limiting False Positives in Empirical Asset Pricing Tests. The project aims to address the issue of data mining in asset pricing tests using innovative interdisciplinary approaches that mitigate the occurrence of false positives. The expected outcomes include extended options in finance for alleviating data mining, as well as new guidelines for rigorously evaluating the explanatory power of risk factors on expected returns. The project findings are expected to significantly advance our understan ....Limiting False Positives in Empirical Asset Pricing Tests. The project aims to address the issue of data mining in asset pricing tests using innovative interdisciplinary approaches that mitigate the occurrence of false positives. The expected outcomes include extended options in finance for alleviating data mining, as well as new guidelines for rigorously evaluating the explanatory power of risk factors on expected returns. The project findings are expected to significantly advance our understanding of the pricing of risk. Additionally, the proposed tools are anticipated to have broad applications, such as corporate finance and fraud detection, and offer significant value to finance research and its stakeholders, such as the Australian asset management industry and government regulatory bodies.
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