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: DE150100795
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important appl ....New approaches to estimating nonlinear time-varying macroeconometric models. Quantitative models are essential for formulating good policies. In a changing world, the analysis should be based on models that allow the behaviour of the economy to change over time. Due to computational limitations, however, one is often restricted to linear models, even when nonlinear ones are more appropriate. This project aims to develop new methods for estimating time-varying nonlinear models. Two important applications are also considered: one investigates how the zero lower bound on interest rates affects the monetary policy transmission mechanism; and, the other examines how uncertainties about monetary and fiscal policy affect economic growth and inflation. This project will have strong practical significance for conducting macroeconomic policy.Read moreRead less
Measuring inflation expectations and inflation expectations uncertainty. This project aims to construct model-based measures of inflation expectations and inflation expectations uncertainty. Inflation expectations can determine economic outcomes. This project will develop non-linear time-varying models to combine information from noisy and possibly biased measures of inflation expectations from surveys and financial markets. These model-based measures are expected to be better calibrated and to ....Measuring inflation expectations and inflation expectations uncertainty. This project aims to construct model-based measures of inflation expectations and inflation expectations uncertainty. Inflation expectations can determine economic outcomes. This project will develop non-linear time-varying models to combine information from noisy and possibly biased measures of inflation expectations from surveys and financial markets. These model-based measures are expected to be better calibrated and to provide valuable information for policymakers for formulating macroeconomic policies. They can be used to better assess the credibility of monetary policy and shed light on the causes of low inflation rate in developed economies.Read moreRead less
High-dimensional models with a change point. This project aims to provide a set of estimation and inference procedures for high dimensional quantile regression. Statistical models of threshold regression with change or tipping points are used to explore social issues, including changes in oil and gas prices, effective dosage of drugs and the racial mix in neighbourhoods. To date, using low numbers of variables, the findings have been limited. Big data makes it possible and desirable to solve mor ....High-dimensional models with a change point. This project aims to provide a set of estimation and inference procedures for high dimensional quantile regression. Statistical models of threshold regression with change or tipping points are used to explore social issues, including changes in oil and gas prices, effective dosage of drugs and the racial mix in neighbourhoods. To date, using low numbers of variables, the findings have been limited. Big data makes it possible and desirable to solve more detailed models to provide more accurate results. The quality and accuracy of the project’s results are expected to help governments devise well informed and appropriate policies for social issues.Read moreRead less
Understanding the sources of secular stagnation. This project aims to examine why long-run projections of output, inflation, and interest rates have become lower for many economies in recent years resulting in a phenomenon often referred to as secular stagnation. The project intends to develop new econometric tools to account for sources of structural breaks and stochastic trends in order to quantify the roles of productivity growth, financial shocks, demographics, and inflation expectations in ....Understanding the sources of secular stagnation. This project aims to examine why long-run projections of output, inflation, and interest rates have become lower for many economies in recent years resulting in a phenomenon often referred to as secular stagnation. The project intends to develop new econometric tools to account for sources of structural breaks and stochastic trends in order to quantify the roles of productivity growth, financial shocks, demographics, and inflation expectations in driving secular stagnation. Expected outcomes include findings that will help guide macroeconomic policy responses to stagnation and new econometric tools that will support future applied research on changes in the behaviour of macroeconomic variables.Read moreRead less
Implications of Global Economic Forces for Domestic Monetary Policy. The project aims to quantify and understand the extent to which international factors affect key macroeconomic variables such as inflation and interest rates in open economies. The aims will be achieved through the development and application of new macroeconomic and econometric models. Expected outcomes are new insights and policy recommendations on how to appropriately conduct monetary policy for an open economy such as Austr ....Implications of Global Economic Forces for Domestic Monetary Policy. The project aims to quantify and understand the extent to which international factors affect key macroeconomic variables such as inflation and interest rates in open economies. The aims will be achieved through the development and application of new macroeconomic and econometric models. Expected outcomes are new insights and policy recommendations on how to appropriately conduct monetary policy for an open economy such as Australia. This should provide significant benefits to the broader Australian economy through the conduct of suitable policy by institutions such as the Reserve Bank of Australia.Read moreRead less
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
Nowcasting and Interpreting the Australian Economy. This project aims to investigate methods for nowcasting and interpreting the Australian economy. This is determining the current state of the economy and the factors contributing to it.
This project expects to generate new knowledge on how unconventional, new, data sources and innovative methods can be used to in nowcasting and how the Australian economy can be modelled.
The expected outcomes include timely new indicators of the state of the ec ....Nowcasting and Interpreting the Australian Economy. This project aims to investigate methods for nowcasting and interpreting the Australian economy. This is determining the current state of the economy and the factors contributing to it.
This project expects to generate new knowledge on how unconventional, new, data sources and innovative methods can be used to in nowcasting and how the Australian economy can be modelled.
The expected outcomes include timely new indicators of the state of the economy, and the factors contributing to it. This should provide significant benefits through informing the conduct of Australian macroeconomic policy, as the appropriate policy response depends not only on knowing the current state of the economy but understanding the economic factors underlying it.
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Pooling econometric models for prediction and decision making. The project develops methods for combining econometric models with the goal of improving prediction. It applies these methods to macroeconomic models used to improve monetary policy and to asset return models used to improve financial risk management.