Large dynamic time-varying models for structural macroeconomic inference. This project aims to broaden the range of macroeconomic models that have an integrated capacity for both greater realism and efficiency in analysis. This approach will be applied to two contexts at the forefront of current macroeconomic research, the effects of noisy productivity signals on business cycles and the effects of fiscal policy shocks. Flexible macro-econometric models underpin accurate inference by economists ....Large dynamic time-varying models for structural macroeconomic inference. This project aims to broaden the range of macroeconomic models that have an integrated capacity for both greater realism and efficiency in analysis. This approach will be applied to two contexts at the forefront of current macroeconomic research, the effects of noisy productivity signals on business cycles and the effects of fiscal policy shocks. Flexible macro-econometric models underpin accurate inference by economists and policymakers and the project outputs should provide widespread and significant benefits by improving policy and boosting Australia’s comparative advantage.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
Discovery Early Career Researcher Award - Grant ID: DE200100693
Funder
Australian Research Council
Funding Amount
$405,458.00
Summary
Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. ....Financial Cycles and the Macroeconomy. The project aims to measure and understand the drivers of the financial cycle. As unsustainable financial conditions, such as excess credit, tend to precede financial cycle busts, which often eventuate into recessions, the project aims to also shed light on the interaction between the financial cycle and macroeconomy. These aims are expected to be achieved through the application of a new set of econometric tools to estimate and interpret financial cycles. The expected outcomes of this project include new insights for institutions such as the Reserve Bank of Australia and should provide significant benefit through the appropriate design of macroeconomic policy.Read moreRead less