New Procedures for Multiple Testing of Econometric Models. In discipline areas ranging from biological and medicine sciences to economics and commerce, very important decisions are made on the basis of statistical or econometric models. There is usually a high degree of uncertainty about the exact form the model should take and the data available to help decide on the best form of the model is often limited. The new procedures developed in this project will help statisticians and econometricians ....New Procedures for Multiple Testing of Econometric Models. In discipline areas ranging from biological and medicine sciences to economics and commerce, very important decisions are made on the basis of statistical or econometric models. There is usually a high degree of uncertainty about the exact form the model should take and the data available to help decide on the best form of the model is often limited. The new procedures developed in this project will help statisticians and econometricians make better decisions about the best form of their models. Our approach gives a new method of validating an estimated model before it is put to use to make critical decisions.Read moreRead less
Nonparametric estimation of regression models with unknown error distributions. In discipline areas ranging from bioinformatics to economics and commerce, researchers make important decisions based on regression models, where the error density is often unknown. This project will result in a new sampling procedure that aims to choose bandwidth parameters for estimating the regression function and error density in nonparametric regression models. Our approach is of practical importance and can be ....Nonparametric estimation of regression models with unknown error distributions. In discipline areas ranging from bioinformatics to economics and commerce, researchers make important decisions based on regression models, where the error density is often unknown. This project will result in a new sampling procedure that aims to choose bandwidth parameters for estimating the regression function and error density in nonparametric regression models. Our approach is of practical importance and can be used to investigate relationships between variables that are observable in our economy and community. The nation will benefit from the output of this project by having its own experts in the area of proposed research, raising Australia's academic profile in econometrics and statistics. Read moreRead less
Financial Instability and Risk Management: New Statistical Treatment of the Occurrence and Persistence of Shocks in International Markets. Global economies are complex systems: their complexity is increasing due to market connectivity, borderless trading and rapid electronic transactions. This collaboration will improve understanding of market interdependence, important because of its profound macroeconomic influence on individual consumersf decisions and corporate investment. A novel combinati ....Financial Instability and Risk Management: New Statistical Treatment of the Occurrence and Persistence of Shocks in International Markets. Global economies are complex systems: their complexity is increasing due to market connectivity, borderless trading and rapid electronic transactions. This collaboration will improve understanding of market interdependence, important because of its profound macroeconomic influence on individual consumersf decisions and corporate investment. A novel combination of nonlinear time series and dynamical systems theories will be used to describe propagation and persistence of market shocks. Focusing on smart information use and innovation economies, this project will deliver publications on new practical econometric methodologies, training for early career researchers, and a strong sustainable research relationship between Australia and France.Read moreRead less
A new class of statistical methods for analysing long memory time series models with heteroskedasticity. This project will result in a class of statistical methods that will aid policy makers and financial analysts when examining and predicting key international and Australian macroeconomic and financial variables that exhibit long memory. Leading applications of long memory modelling in the literature include GDP, CPI, asset pricing models, stock returns, exchange rates and interest rates. It w ....A new class of statistical methods for analysing long memory time series models with heteroskedasticity. This project will result in a class of statistical methods that will aid policy makers and financial analysts when examining and predicting key international and Australian macroeconomic and financial variables that exhibit long memory. Leading applications of long memory modelling in the literature include GDP, CPI, asset pricing models, stock returns, exchange rates and interest rates. It will be possible to robustly and efficiently analyse such series in the presence of changes in variability, such as the overall reduction in variability that has occurred since the 1970's, called the "Great Moderation". The utility of the new methods will be demonstrated by a robust and efficient analysis of the Purchasing Power Parity hypothesis.Read moreRead less
Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to an ....Modelling a portfolio of financial assets: structure, estimation, testing and forecasting. Information regarding financial returns and risk is essential for optimal portfolio selection and asset management. Returns and risk have typically been analysed for individual assets. The project provides a theoretical solution to the important practical problem of modelling a portfolio of financial assets in realistic situations. The significance of the research is the development of a new approach to analyse a portfolio of returns and risk, and the determination of its applicability using numerical simulation techniques. The expected outcomes are an optimal practical method for analysing a portfolio of assets, a scientific monograph, and publications in leading international journals.Read moreRead less
Nonparametric and Semiparametric Approaches in Nonlinear Time Series Econometrics and Financial Econometrics. This research proposal involves new theoretical investigations using nonparametric and semiparametric approaches in high dimensional nonlinear economic and financial dynamical systems.
The main aims of this proposal are
(i) to make new theoretical investigations of high dimensional nonlinear economic and financial dynamical models which incorporate to varying degrees, nonlinearit ....Nonparametric and Semiparametric Approaches in Nonlinear Time Series Econometrics and Financial Econometrics. This research proposal involves new theoretical investigations using nonparametric and semiparametric approaches in high dimensional nonlinear economic and financial dynamical systems.
The main aims of this proposal are
(i) to make new theoretical investigations of high dimensional nonlinear economic and financial dynamical models which incorporate to varying degrees, nonlinearity, and additivity;
(ii) to develop novel computational procedures and programmes for the necessary statistical inference associated with new high dimensional nonlinear dynamical models; and
(iii) to apply the techniques and programmes to improve economic and financial model building and forecasts from better models.
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Designing Weather Derivatives and Yield Index Contracts for Rural Australia. This project addresses the security of communities in rural areas. Successful risk management based on weather derivatives and yield index contracts will stabilise the income of rural industries and improve the financial viability of rural communities. It will allow systemic risks from climate change to be reinsured with financial institutions, maintain some of Australia's most important export industries and help maint ....Designing Weather Derivatives and Yield Index Contracts for Rural Australia. This project addresses the security of communities in rural areas. Successful risk management based on weather derivatives and yield index contracts will stabilise the income of rural industries and improve the financial viability of rural communities. It will allow systemic risks from climate change to be reinsured with financial institutions, maintain some of Australia's most important export industries and help maintain leadership in climate risk research. It will use state of the art methods to derive and estimate nonlinear yield indexes, and develop new option pricing methods to value the premium that farmers should pay for a yield index contract. Finally it will evaluate the likely adoption by farmers using nonlinear portfolio theory.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
Forecasting with single source of randomness state space models. The framework developed in this project, for identifying and
extrapolating trends, seasonal patterns and economic cycles in time
series, has a large and diverse range of useful applications in
Australia. Some examples include its potential use in the
development of appropriate monetary policy, its use to better inform
finance markets of risk levels associated with shares, its use to
forecast demand in supply chains to provide ....Forecasting with single source of randomness state space models. The framework developed in this project, for identifying and
extrapolating trends, seasonal patterns and economic cycles in time
series, has a large and diverse range of useful applications in
Australia. Some examples include its potential use in the
development of appropriate monetary policy, its use to better inform
finance markets of risk levels associated with shares, its use to
forecast demand in supply chains to provide a better service to
customers, and its use in call centres to better tailor staff
schedules to meet customer calls.Read moreRead less
The US Interest Rate Conundrum and its Implications for Australia. The project generalises existing factor models of interest rates. The project will result in several benefits nationally as well as internationally. As U.S. interest rates and U.S. monetary policy in general are important determinants of interest rates in Australia, the project will lead to an improved understanding of the international mechanism linking interest rates. This will also provide a better framework in which to unders ....The US Interest Rate Conundrum and its Implications for Australia. The project generalises existing factor models of interest rates. The project will result in several benefits nationally as well as internationally. As U.S. interest rates and U.S. monetary policy in general are important determinants of interest rates in Australia, the project will lead to an improved understanding of the international mechanism linking interest rates. This will also provide a better framework in which to understand and monitor monetary policy in Australia. An important aspect of the project is the development of new testing procedures that improve upon existing nonparametric methods.Read moreRead less