Australia's Resilience to Recession. This project aims to study why Australia differs from its OECD peers in that it has not had a recession for 27 years. It intends to generate knowledge by using economic models to solve 3 puzzles relating to Australia’s success: (i) why did foreign financial market shocks not spill over to the economy?; (ii) how has the resource curse that affects economies with a booming resource sector been avoided?; and (iii) what makes Australia special? Expected outcomes ....Australia's Resilience to Recession. This project aims to study why Australia differs from its OECD peers in that it has not had a recession for 27 years. It intends to generate knowledge by using economic models to solve 3 puzzles relating to Australia’s success: (i) why did foreign financial market shocks not spill over to the economy?; (ii) how has the resource curse that affects economies with a booming resource sector been avoided?; and (iii) what makes Australia special? Expected outcomes include the development of theoretical and empirical models that reflect the unique features of the Australian economy. This should provide significant benefits, including guidance to Australian and international policymakers on macroeconomic policies for resource-rich countries.Read moreRead less
High-frequency Estimation of Term Structure Models at the Zero Lower Bound. This project aims to quantify monetary policy shocks as shifts of the entire term structure of interest rates, when the central bank’s policy rate is constrained at the near-zero level. The proposed method will use a high-dimensional panel of high frequency government bond data. The term structure and resultant policy shocks estimated at intra-day frequencies for major economies including Australia, will be made publicly ....High-frequency Estimation of Term Structure Models at the Zero Lower Bound. This project aims to quantify monetary policy shocks as shifts of the entire term structure of interest rates, when the central bank’s policy rate is constrained at the near-zero level. The proposed method will use a high-dimensional panel of high frequency government bond data. The term structure and resultant policy shocks estimated at intra-day frequencies for major economies including Australia, will be made publicly available. This project expects to deepen our understanding of how monetary policy decisions affect the macroeconomy in a near-zero interest-rate environment. This should provide significant benefits to policymakers for implementing and monitoring monetary policy in achieving desired economic outcomes.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
Deep learning based time series modeling and financial forecasting. This project pursues breakthroughs in time series modelling and develops novel statistical models and inference techniques, with a focus on modelling of financial time series data. The advances will be achieved through interdisciplinary research, combining recent advances in machine learning, Bayesian computation, financial econometrics and the increasing availability of Big Data. The outcomes will provide a new range of proven ....Deep learning based time series modeling and financial forecasting. This project pursues breakthroughs in time series modelling and develops novel statistical models and inference techniques, with a focus on modelling of financial time series data. The advances will be achieved through interdisciplinary research, combining recent advances in machine learning, Bayesian computation, financial econometrics and the increasing availability of Big Data. The outcomes will provide a new range of proven and powerful approaches for analysing time series and understanding time effects. The methodologies developed will lead to a greater accuracy in financial forecasting and risk management, and open up new horizons for the wider scientific community to analyse time series data.Read moreRead less
Diversification failures and improved measures of uncertainty. The project aims to develop new statistical tools, applicable when the conventional paradigm that diversification reduces risk fails and when textbook approaches to risk quantification severely under-report risk. The new tools enhance our capacity to build and manage natural, social and human-made systems in uncertain environments. Our effective response to many threats including financial crises and natural events, depends on this c ....Diversification failures and improved measures of uncertainty. The project aims to develop new statistical tools, applicable when the conventional paradigm that diversification reduces risk fails and when textbook approaches to risk quantification severely under-report risk. The new tools enhance our capacity to build and manage natural, social and human-made systems in uncertain environments. Our effective response to many threats including financial crises and natural events, depends on this capacity. Thus, the expected benefits in the form of more reliable and robust risk analytics will accrue when they are most needed.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
Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intende ....Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intended to be employed as part of a market stability surveillance program and for assessing the impact of real-estate risk on the overall economy. Early detection of the onset of future housing bubble collapses would be of significant benefit to policy makers, Australia’s trading partners, the real estate industry and ultimately home buyers.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100840
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Monitoring financial bubbles using high-frequency data. This project aims to develop an econometric procedure for monitoring speculative behaviour, often labelled as bubbles, in financial markets. There has been widespread recognition that financial speculation can inflict harm on the real economy. Crises or recessions are often preceded by excessive asset market speculation. This project will utilise intraday information for bubble detection and address major technical challenges arising from h ....Monitoring financial bubbles using high-frequency data. This project aims to develop an econometric procedure for monitoring speculative behaviour, often labelled as bubbles, in financial markets. There has been widespread recognition that financial speculation can inflict harm on the real economy. Crises or recessions are often preceded by excessive asset market speculation. This project will utilise intraday information for bubble detection and address major technical challenges arising from high-frequency financial data. It is expected to significantly improve the speed and accuracy of bubble detection, thereby providing more timely and precise warning alerts for investment decisions, market surveillance and policy action.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.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