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Research Topic : Murine Models
Field of Research : Econometric And Statistical Methods
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Econometric And Statistical Methods (13)
Econometrics (13)
Economic Models And Forecasting (13)
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  • Funded Activity

    Linkage - International - Grant ID: LX0560332

    Funder
    Australian Research Council
    Funding Amount
    $55,624.00
    Summary
    Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as vo .... Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as volatility in price series, extremal (risky) behaviour of financial systems, and turning points of the business cycle. Discoveries will be disseminated through published papers and presentations at a major international conference. Ongoing e-research links with France will also be established.
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    Funded Activity

    Discovery Projects - Grant ID: DP0986718

    Funder
    Australian Research Council
    Funding Amount
    $105,000.00
    Summary
    Estimating and evaluating the predictive accuracy of structural macroeconomic models. This project will provide improved methods to inform Australia's macroeconomic policies and its strategies for economic development by suggesting the most adequate structural macroeconomic model for the Australian economy. Effective macroeconomic policies, in turn, assure stable economic development, smoothes effects of economic cycles and balances inflation, unemployment, the exchange rate and other macroecono .... Estimating and evaluating the predictive accuracy of structural macroeconomic models. This project will provide improved methods to inform Australia's macroeconomic policies and its strategies for economic development by suggesting the most adequate structural macroeconomic model for the Australian economy. Effective macroeconomic policies, in turn, assure stable economic development, smoothes effects of economic cycles and balances inflation, unemployment, the exchange rate and other macroeconomic indicators. All these indicators are closely linked to the welfare of the Australian people and prosperity of the Australian economy. The importance of an accurate macroeconomic analysis is increased in the current condition of inflationary pressures, fiscal challenges, climate change, and world market instabilities.
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    Funded Activity

    Discovery Projects - Grant ID: DP0342949

    Funder
    Australian Research Council
    Funding Amount
    $60,000.00
    Summary
    Inventories and the Business Cycle in Australia and the U.S. The project looks at the contribution that inventories make to business cycles in Australia and the U.S. It uses recent research by the chief investigator on measuring business cycles in order to explain how the presence of inventories in an economic system might influence activity in that system. It then adapts an existing model in the literature to quantify the role of inventories in the Australian and U.S business cycles.. It seeks .... Inventories and the Business Cycle in Australia and the U.S. The project looks at the contribution that inventories make to business cycles in Australia and the U.S. It uses recent research by the chief investigator on measuring business cycles in order to explain how the presence of inventories in an economic system might influence activity in that system. It then adapts an existing model in the literature to quantify the role of inventories in the Australian and U.S business cycles.. It seeks to answer a number of questions that have arisen in recent years over whether the business cycle is becoming longer owing to improved methods of inventory control
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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

    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: DP0985234

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible futu .... Non-parametric estimation of forecast distributions in non-Gaussian state space models. The production of accurate forecasts is arguably one of the most challenging tasks in economics, business and finance, where data often assume strictly positive, integer or binary values, or are characterized by many extreme values far from the average. This project will produce new, state-of-the-art statistical methods for generating accurate estimates of the probabilities attached to different possible future values of such variables. Although far-ranging in scope, the techniques advocated will have particular impact in the financial sphere, where the concept of future risk is inextricably linked to the probability of occurrence of extreme values and, hence, to the future probability distribution of the financial variable.
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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

    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: DP0664024

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    Empirical and Theoretical Coherence of Macroeconometric Models. Variants of the G-Cubed models are used by researchers, governments and international institutions for policy analysis. The need for policy makers to have models with substantial structural detail and a strong theoretical base is paramount for transparency and accountability. The development of simple SVAR models which capture these theoretical underpinnings will provide Australian policy makers with an effective tool for economic a .... Empirical and Theoretical Coherence of Macroeconometric Models. Variants of the G-Cubed models are used by researchers, governments and international institutions for policy analysis. The need for policy makers to have models with substantial structural detail and a strong theoretical base is paramount for transparency and accountability. The development of simple SVAR models which capture these theoretical underpinnings will provide Australian policy makers with an effective tool for economic analysis. It will also provide powerful tools that enable forecasting and detailed policy analysis within the same broad conceptual framework. The emphasis is on international and financial market linkages which encompass key issues facing the Australian economy.
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