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
Weather, climate & geological risks: derivative pricing & risk management. This project aims to create new mathematical models and approaches for the fair valuation and hedging of financial derivatives, tackling funding for climate change adaptation and catastrophic disaster risk management. Businesses use derivatives to strategically mitigate financial losses from adverse climate conditions and geological hazards. Expected outcomes are improved models for weather variables and hazard risk asses ....Weather, climate & geological risks: derivative pricing & risk management. This project aims to create new mathematical models and approaches for the fair valuation and hedging of financial derivatives, tackling funding for climate change adaptation and catastrophic disaster risk management. Businesses use derivatives to strategically mitigate financial losses from adverse climate conditions and geological hazards. Expected outcomes are improved models for weather variables and hazard risk assessment; richer methodology from the fusion of mathematical techniques, data analysis and earth sciences perspectives; and quantitative solutions to pressing societal concerns. Significant benefits also include highly qualified personnel training and international collaboration on common multidisciplinary research priorities.Read moreRead less
Fair pricing of superannuation guaranteed benefits with downturn risk. Australians have more than $2.7 trillion in superannuation assets, meaning that Australia is the fourth largest holder of pension fund assets worldwide. Hence the impact of market fluctuations on financial well-being of retirees can be detrimental, especially during market downturns associated with economic crises. The finance industry addresses this issue by complementing variable annuities with riders designed to protect th ....Fair pricing of superannuation guaranteed benefits with downturn risk. Australians have more than $2.7 trillion in superannuation assets, meaning that Australia is the fourth largest holder of pension fund assets worldwide. Hence the impact of market fluctuations on financial well-being of retirees can be detrimental, especially during market downturns associated with economic crises. The finance industry addresses this issue by complementing variable annuities with riders designed to protect the income stream of retirees. This project aims to develop a novel approach to fair pricing and optimal withdrawals and surrender policies for superannuation guaranteed benefit products through a comprehensive analysis of complex optimisation problems in stochastic models of financial markets with downturn risk.Read moreRead less
Can green investors drive the transition to a low emissions economy? The project aims to develop a game-theoretical approach to model the impact of climate change on financial markets by studying the interactions between the government, companies and investors. Expected outcomes include novel solution concepts for stochastic games with heterogeneous beliefs, asymmetric information, and model uncertainty, as well as optimal investment and production strategies under climate driven economic transi ....Can green investors drive the transition to a low emissions economy? The project aims to develop a game-theoretical approach to model the impact of climate change on financial markets by studying the interactions between the government, companies and investors. Expected outcomes include novel solution concepts for stochastic games with heterogeneous beliefs, asymmetric information, and model uncertainty, as well as optimal investment and production strategies under climate driven economic transitions. Results will be used to validate and improve the recently launched Australian based climate transition index. The project should yield significant benefits for the financial industry and investors by providing novel insights into financial risks during the transition to a low emissions economy.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100896
Funder
Australian Research Council
Funding Amount
$427,008.00
Summary
How to beat model uncertainty with more information. Experience of the 2008 financial crisis exposed a weakness in our over-reliance on mathematical models. The main aim of this project is to develop mathematical tools to investigate the role of information in reducing model uncertainty. The project will undertake pressing research in robust finance, which is now one of the most active and dynamic topics in financial mathematics. It expects to quantify the value of information under uncertainty ....How to beat model uncertainty with more information. Experience of the 2008 financial crisis exposed a weakness in our over-reliance on mathematical models. The main aim of this project is to develop mathematical tools to investigate the role of information in reducing model uncertainty. The project will undertake pressing research in robust finance, which is now one of the most active and dynamic topics in financial mathematics. It expects to quantify the value of information under uncertainty in mathematical modelling. It will generate new knowledge in probability theory and stochastic processes providing a significant mathematical contribution in its own right.Read moreRead less
Two-price quantitative finance. This project aims to establish a novel field, namely two-price quantitative finance, and explore its applications. The new field will integrate two major schools for modelling and explain the presence of two prices, the buying and selling prices, widely observed in the real-world markets, and the equilibrium approach from the fundamental law of one price. The outcomes would deepen our understanding of the fundamental relationship among liquidity, prices, risk and ....Two-price quantitative finance. This project aims to establish a novel field, namely two-price quantitative finance, and explore its applications. The new field will integrate two major schools for modelling and explain the presence of two prices, the buying and selling prices, widely observed in the real-world markets, and the equilibrium approach from the fundamental law of one price. The outcomes would deepen our understanding of the fundamental relationship among liquidity, prices, risk and the economy. This project expects to bring about long-term impact on quantitative finance and related applications through providing a deep understanding of, and a new perspective for, the design, risk and fairness of the finance, property and insurance markets.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
Better communication to solve the under-saving, under-spending puzzle. This project expects to develop evidence-based communication tools that promote life-time financial security, specifically investigating the puzzling and harmful tendency of people to under-save while working and under-spend while retired. To achieve this goal, it will design and experimentally validate innovative boosts to superannuation communication including income projections and goal-setting targeted at common misconcep ....Better communication to solve the under-saving, under-spending puzzle. This project expects to develop evidence-based communication tools that promote life-time financial security, specifically investigating the puzzling and harmful tendency of people to under-save while working and under-spend while retired. To achieve this goal, it will design and experimentally validate innovative boosts to superannuation communication including income projections and goal-setting targeted at common misconceptions and biases. It will use new structural modelling techniques to measure welfare changes. The expected outcomes are rigorous explanations for the saving-spending puzzle, and robust communication strategies for superannuation funds that will benefit workers and retirees by raising financial capability and confidence.Read moreRead less
Distorted Beliefs and Asset Price Disconnect Puzzles. Asset price booms and busts have broad ranging implications for households. Despite this, models used for policy analysis struggle to explain asset prices and their implications for the macroeconomy. This project will deliver frontier macro-finance research to inform academics and policymakers on how to model asset price booms and busts, to explain why equity and house price falls appear to have small versus large effects, and how to design e ....Distorted Beliefs and Asset Price Disconnect Puzzles. Asset price booms and busts have broad ranging implications for households. Despite this, models used for policy analysis struggle to explain asset prices and their implications for the macroeconomy. This project will deliver frontier macro-finance research to inform academics and policymakers on how to model asset price booms and busts, to explain why equity and house price falls appear to have small versus large effects, and how to design effective policy responses. Led by internationally recognized experts in macroeconomics, this research proposal is perfectly positioned to deliver scientific peer-reviewed research and embed outcomes through evidenced partnerships with the Reserve Bank of Australia and the Federal Department of Treasury.Read moreRead less
Creating subject-specific mathematical models to understand the brain. This project aims to develop a mathematical framework that bridges the different scales of brain activities to provide a new tool for understanding the brain. Methods will be developed that unify individual neural activity with large scale brain activity. The approach will be validated by comparing predictions of interconnected models of neural populations (called mean-field models) to experimental data. The creation of subje ....Creating subject-specific mathematical models to understand the brain. This project aims to develop a mathematical framework that bridges the different scales of brain activities to provide a new tool for understanding the brain. Methods will be developed that unify individual neural activity with large scale brain activity. The approach will be validated by comparing predictions of interconnected models of neural populations (called mean-field models) to experimental data. The creation of subject-specific models from data is important, as there is large variability in neural circuits between individuals despite seemingly similar network activity. The intended outcome is new insights into the processes that govern brain function and methods for improving functional imaging of, and interfacing to, the brain.Read moreRead less