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Field of Research : Econometrics
Australian State/Territory : VIC
Field of Research : Economic Models And Forecasting
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  • Funded Activity

    Discovery Projects - Grant ID: DP0450257

    Funder
    Australian Research Council
    Funding Amount
    $165,000.00
    Summary
    New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evo .... New Approaches to the Analysis of Count Time Series. The focus of this proposal is on the analysis of data that enumerate events over time. Occurrences of such count data abound in economics and business, examples being observations on insurance claims, loan defaults and individual product demand. This project develops a suite of innovative methods for modelling and predicting event counts. The methods explicitly accommodate both the discreteness of the data and possible complexities in its evolution over time. In so doing, they enable both accurate inferences regarding the dynamic structure of the data to be drawn and accurate forecasts of future event counts to be produced.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991098

    Funder
    Australian Research Council
    Funding Amount
    $176,130.00
    Summary
    Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater pre .... Helping Central Banks Measure Unobserved Variables Using Real-time Forecasts. The project addresses structural measurement problems confronted routinely by central bankers. The techniques developed, and the estimates provided, will aid directly the Partner Organisations (the Reserve Bank of Australia, the Reserve Bank of New Zealand and Norges Bank) and other central banks in formulating monetary policy. The analysis will allow interest rates in Australia and elsewhere to be set with greater precision. The techniques developed in this project will facilitate the understanding and communication of monetary policy within the central banks concerned, and enhance communication of monetary policy strategy to the public.
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    Funded Activity

    Discovery Projects - Grant ID: DP0988112

    Funder
    Australian Research Council
    Funding Amount
    $268,000.00
    Summary
    Australian Real Time Data: Construction, Analysis and Implications for Real Time Policy Making. This first comprehensive macroeconomic real time database for Australia recording the actual data available to policy makers at the time of making decisions will serve as a standard reference for accurate ex post macroeconomic policy evaluation and for accurate forecasts and decision making which are robust to data revisions. The free database will be of interest to Australian researchers, economists, .... Australian Real Time Data: Construction, Analysis and Implications for Real Time Policy Making. This first comprehensive macroeconomic real time database for Australia recording the actual data available to policy makers at the time of making decisions will serve as a standard reference for accurate ex post macroeconomic policy evaluation and for accurate forecasts and decision making which are robust to data revisions. The free database will be of interest to Australian researchers, economists, forecasters and policy makers. Readily applicable and interpretable forecasts of the business cycle and the current state of the Australian (and US) economy (e.g. likelihood of recessions or inflation) will be of direct relevance to Australian policy-makers in Government, the Reserve Bank of Australia, and to the Australian decision-makers.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0991045

    Funder
    Australian Research Council
    Funding Amount
    $834,200.00
    Summary
    A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it .... A Bayesian State Space Methodology for Forecasting Stock Market Volatility and Associated Time-varying Risk Premia. Accurate prediction of stock market volatility is critical for effective financial risk management. Along with information on volatility embedded in historical stock market returns, the prices of options written on the underlying stocks also reflect the option market's assessment of future volatility. This project will exploit this dual data source in a completely new way, using it to produce forecasts of both volatility itself and the premia factored into asset prices as a result of traders' perceptions of volatility risk. State-of-the-art statistical methods will be used to produce up-dates of the probability of extreme volatility and/or extreme risk aversion, as new market data becomes available each trading day.
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    Funded Activity

    Discovery Projects - Grant ID: DP1096374

    Funder
    Australian Research Council
    Funding Amount
    $650,000.00
    Summary
    New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the .... New estimation and testing issues in nonlinear time series econometrics. The outcomes of this project will not only complement but also enhance the existing strengths of Australian researchers in the field of econometrics. The outcomes are also expected to help stabilise the national financial market for more accurate forecasts. It is also expected that the outcomes will provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345026

    Funder
    Australian Research Council
    Funding Amount
    $105,000.00
    Summary
    Growth and Inflation Dynamics: Measuring Steady-State Growth, Output Gaps and Inflationary Pressures using Survey Data in Australia and Other Advanced Economies. The aim of the project is to develop, for Australia and other advanced economies, new measures of 'potential production'. Such measures are important in the prediction of periods of recession and inflation, and in the formulation of macroeconomic policy. The proposal seeks to address the shortcomings of existing measures by (i) incorpor .... Growth and Inflation Dynamics: Measuring Steady-State Growth, Output Gaps and Inflationary Pressures using Survey Data in Australia and Other Advanced Economies. The aim of the project is to develop, for Australia and other advanced economies, new measures of 'potential production'. Such measures are important in the prediction of periods of recession and inflation, and in the formulation of macroeconomic policy. The proposal seeks to address the shortcomings of existing measures by (i) incorporating direct measures of expectations of future output and inflation from survey data, and (ii) being consistent with standard economic analysis. Forming best practice methods in the use of survey data in policy formation and in the production of economic forecasts will be a vital contribution of the project.
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    Funded Activity

    Discovery Projects - Grant ID: DP0343811

    Funder
    Australian Research Council
    Funding Amount
    $108,000.00
    Summary
    Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstra .... Inference in partially non-stationary time series models. Economic theories typically specify the long-run relationship between economic variables. However, researchers usually examine the long-run features of the data by fitting a restrictive class of models using criteria that have only proven useful for short-term forecasting. In this project we consider alternative models and modelling strategies that are appropriate for the study of the long-run. We also develop computer intensive (bootstrap) methods, which will provide a much-needed improvement over the existing (asymptotic) methods for making inference about the long-run. Our research will lead to more reliable models for long-term planning in business, industry and government.
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    Funded Activity

    Discovery Projects - Grant ID: DP0984399

    Funder
    Australian Research Council
    Funding Amount
    $387,943.00
    Summary
    Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The .... Vector ARMA Models and Macroeconomic Modelling: Some New Methodology and Algorithms. Economic variables are strongly related to each other, as well as being strongly related to their recent history. As a result, good dynamic multivariate models are crucial for effective policy making and forecasting in areas of vital national importance such as monetary and fiscal policy, environmental policy and tourism. Our project advances the frontiers of knowledge in multivariate time series modelling. The outcome of this project will be immediately useful for macroeconomic policy makers such as the Reserve Bank of Australia and the Treasury, and for industry bodies such as Tourism Australia.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455743

    Funder
    Australian Research Council
    Funding Amount
    $254,000.00
    Summary
    ASEAN+3 Free Trade Agreement and Its Impact on Australia-Vietnam Trade. The ASEAN+3 (China, Japan and Korea) free trade agreement endorsed by ASEAN Leaders in 2001 poses a serious trade diversion threat to Australia's goods and services trade to ASEAN and North Asia (reaching $33.9b and $85.0b respectively in 2001, see DFAT 2003). No research on this has been done or reported. The project, with Vietnam Institute for Trade collaboration, uses new analytical and empirical approaches to investigate .... ASEAN+3 Free Trade Agreement and Its Impact on Australia-Vietnam Trade. The ASEAN+3 (China, Japan and Korea) free trade agreement endorsed by ASEAN Leaders in 2001 poses a serious trade diversion threat to Australia's goods and services trade to ASEAN and North Asia (reaching $33.9b and $85.0b respectively in 2001, see DFAT 2003). No research on this has been done or reported. The project, with Vietnam Institute for Trade collaboration, uses new analytical and empirical approaches to investigate this FTA and its implications to Australia's trade to a major ASEAN country, namely Vietnam, where 2002 trade reached $2.8b and Australia's global companies (eg. ANZ, Telstra, RMIT) currently have large operation.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452717

    Funder
    Australian Research Council
    Funding Amount
    $120,000.00
    Summary
    Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend current econometric practice and consider the use of power laws as a basis for the construction of a more flexible and realistic class of models for the analysis of economic and financial time series. (ii) To develop inferential techniques appropriate for the modelling of dynamic econometric systems that incorporate struc .... Fractional Integration, Power Laws and Econometric Models: Some Methodological and Theoretical Developments. The fundamental objectives of this project are to: (i) Extend current econometric practice and consider the use of power laws as a basis for the construction of a more flexible and realistic class of models for the analysis of economic and financial time series. (ii) To develop inferential techniques appropriate for the modelling of dynamic econometric systems that incorporate structure characterized by power laws. This will be achieved by building upon the class of fractionally integrated processes. New econometric models and methodologies for the analysis of non-stationarity series will be developed, along with the associated theoretical results.
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