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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
Reaching for tax breaks: Household financial decisions and tax policy. The project aims to investigate how two tax incentives – franking credits and negative gearing of investments – impact individual taxpayer risk-taking behaviour, voluntary savings and retirement outcomes. The project will develop a new measure of tax efficiency based on if, and how, individuals take advantage of franking credits and negative gearing. It will identify what factors drive the use of franking credits and negativ ....Reaching for tax breaks: Household financial decisions and tax policy. The project aims to investigate how two tax incentives – franking credits and negative gearing of investments – impact individual taxpayer risk-taking behaviour, voluntary savings and retirement outcomes. The project will develop a new measure of tax efficiency based on if, and how, individuals take advantage of franking credits and negative gearing. It will identify what factors drive the use of franking credits and negative gearing and whether their use is associated with better retirement outcomes. The findings of the project will potentially lead to an improvement in individuals’ financial literacy, retirement outcomes and reduce reliance on the aged pension.Read moreRead less
Price Discovery in Equity and Volatility Futures for Trading and Hedging. This project aims to develop a multivariate asynchronous technique to analyse the price discovery of movements in equity stock indices, volatility index futures and exchange traded products. This project expects to generate new knowledge in the area of financial econometrics using an innovative mixed frequency sampling approach to establish robust causal inferences. Expected outcomes of the project include enhanced econome ....Price Discovery in Equity and Volatility Futures for Trading and Hedging. This project aims to develop a multivariate asynchronous technique to analyse the price discovery of movements in equity stock indices, volatility index futures and exchange traded products. This project expects to generate new knowledge in the area of financial econometrics using an innovative mixed frequency sampling approach to establish robust causal inferences. Expected outcomes of the project include enhanced econometric theory and its implementation in applied finance. This should provide significant benefits in the price discovery of the equity index in Australia, including insights that will help Australian funds in hedging and trading volatility.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100533
Funder
Australian Research Council
Funding Amount
$434,727.00
Summary
Paris-compliance: assessing companies and portfolios. The aim of this research project is to turn the tide on misleading corporate climate pledges and systematise the assessment of companies' climate performance by using a science-based approach. A critical strategic priority urgently called for during recent international climate negotiations, the research conducted will be translated into a global platform where corporate Paris Compliance information will be shared openly and transparently. Th ....Paris-compliance: assessing companies and portfolios. The aim of this research project is to turn the tide on misleading corporate climate pledges and systematise the assessment of companies' climate performance by using a science-based approach. A critical strategic priority urgently called for during recent international climate negotiations, the research conducted will be translated into a global platform where corporate Paris Compliance information will be shared openly and transparently. This will bolster businesses’ climate action by outlining meaningful and effective decarbonisation pathways, allowing all stakeholders to make climate-safe decisions, and guiding policy makers to enforce the required changes for any business to become Paris-compliant. Read moreRead less
Increasing confidence in Australian carbon disclosures. This project aims to investigate whether carbon disclosures made by Australian resource firms are less than actual emissions (i.e., carbonwashing) using satellite imagery technology. New knowledge will be generated by triangulating carbonwashing information against firm data, such as valuation, other disclosures, and hiring practices, to understand if and how carbonwashing impacts firm values and organisational controls. Expected outcomes i ....Increasing confidence in Australian carbon disclosures. This project aims to investigate whether carbon disclosures made by Australian resource firms are less than actual emissions (i.e., carbonwashing) using satellite imagery technology. New knowledge will be generated by triangulating carbonwashing information against firm data, such as valuation, other disclosures, and hiring practices, to understand if and how carbonwashing impacts firm values and organisational controls. Expected outcomes include improved ways to detect carbonwashing and its relationship to management control weaknesses, benefiting all stakeholders (including investors and regulators) in supporting government-proposed reforms to the Australian Safeguard Mechanism in instilling confidence in Australian carbon disclosures.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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