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
Nonlinear and Nonstationary Time Series Econometrics: Theory and Applications. The outcomes of this project will not only complement but also enhance the existing research strengths of Australian researchers in time series econometrics. Such a research goal falls within the National Research Priority 3 (PG1). In addition, our models will be applicable in stablizing the national financial market for more accurate forecasts. This falls within the National Research Priority 3 (PG5). The research ou ....Nonlinear and Nonstationary Time Series Econometrics: Theory and Applications. The outcomes of this project will not only complement but also enhance the existing research strengths of Australian researchers in time series econometrics. Such a research goal falls within the National Research Priority 3 (PG1). In addition, our models will be applicable in stablizing the national financial market for more accurate forecasts. This falls within the National Research Priority 3 (PG5). The research outcomes will also provide novel models to respond to climate change and variability and to provide accurate warming estimates for improving the policy making process. This falls within the National Research Priority 1 (PG7) Read moreRead less
Modelling non-linear price dynamics of primary commodities that are affected by seasonality, significant storage costs, and slow adjustment. Australia's economy relies substantially on exports of commodities. However, recent volatility of commodity prices has created tremendous uncertainties for traders, producers and consumers of those commodities. This adversely affects our national economy through the disruption of agricultural and mining production, and also more broadly impacts on investmen ....Modelling non-linear price dynamics of primary commodities that are affected by seasonality, significant storage costs, and slow adjustment. Australia's economy relies substantially on exports of commodities. However, recent volatility of commodity prices has created tremendous uncertainties for traders, producers and consumers of those commodities. This adversely affects our national economy through the disruption of agricultural and mining production, and also more broadly impacts on investment, employment and gross domestic income. This research will model more accurately the complex dynamics of primary commodity prices and their inter-market linkages, which will allow traders, producers and consumers to better forecast commodity price movements and protect themselves through inventory management, hedging and long-run production planning.Read moreRead less
Stochastic Index Numbers and Their Application in Accounting, Economics and Finance. Index numbers of prices, such as the Consumer Price Index and the All Ordinaries Index, are among the most important economic statistics for the whole economy. But despite their importance, currently constructed price indexes do not use all the information available in the underlying price data, namely the dispersion among the individual prices. This project will develop and apply a methodology for a new approa ....Stochastic Index Numbers and Their Application in Accounting, Economics and Finance. Index numbers of prices, such as the Consumer Price Index and the All Ordinaries Index, are among the most important economic statistics for the whole economy. But despite their importance, currently constructed price indexes do not use all the information available in the underlying price data, namely the dispersion among the individual prices. This project will develop and apply a methodology for a new approach to index numbers that incorporates this information and leads to tractable ways of estimating the whole distribution of the index value, rather than just one number. The practical usefulness of this mthodology will be demonstrated with applications in accounting (sustainable earnings), economics (real exchange rates) and finance (share prices).Read moreRead less
Quantifying Country Credit Risk Ratings and Volatility, and Measuring the Impact of Fundamentals. National/community benefits include developing a superior quantifiable ratings method to the qualitative rankings produced by leading international country credit risk ratings agencies, measuring the impact of economic/financial fundamentals on risk ratings, and analysing their fluctuations across countries and risk categories over time. The project provides a solution to the major problems underlyi ....Quantifying Country Credit Risk Ratings and Volatility, and Measuring the Impact of Fundamentals. National/community benefits include developing a superior quantifiable ratings method to the qualitative rankings produced by leading international country credit risk ratings agencies, measuring the impact of economic/financial fundamentals on risk ratings, and analysing their fluctuations across countries and risk categories over time. The project provides a solution to the major problems underlying qualitative country risk ratings, namely the irregularity and infrequency of their measurement, and emphasizes the practicality of the results. Expected outcomes include a clearer understanding of how to quantify qualitative rankings and their fluctuations, using information intelligently, and promoting an innovation and knowledge culture.Read moreRead less
Modelling Dynamic Correlations in the Volatility of Patents and Technical Change. National/community benefits include a clearer understanding of the relation between patents and industrial innovation, measuring the effects of patents on technical change, economic growth and job creation, and analysing their fluctuations over time. The project analyses the variability in technological innovations, measures the impact of innovations on total output and key factors of production, namely labour, cap ....Modelling Dynamic Correlations in the Volatility of Patents and Technical Change. National/community benefits include a clearer understanding of the relation between patents and industrial innovation, measuring the effects of patents on technical change, economic growth and job creation, and analysing their fluctuations over time. The project analyses the variability in technological innovations, measures the impact of innovations on total output and key factors of production, namely labour, capital, energy and materials, and emphasizes the usefulness of the results. Expected outcomes include changing current ideas regarding output generation, understanding broad issues underlying patents and their variability, advancing multi-disciplinary knowledge, using information intelligently and promoting a culture of innovation.Read moreRead less
The econometrics of gravity models of trade: a re-assessment. This research will lead a much greater understanding of the empirical determinants of trade flows between countries. This project will apply cutting-edge data econometric techniques to the popular Gravity model of international trade flows. These more appropriate techniques will shed more light on some previous puzzling findings, such that regional trade agreements had little, or no, affect on trade.
Reducing 3D geological uncertainty via improved data interpretation methods. The integrity of 3D geological models heavily relies on robust and consistent data interpretation. This project proposes an innovative workflow for 3D modelling to minimise geological uncertainty. Advanced visualisation and intelligent decision support methods will be combined to assist geological interpretation. Feedback on interpretation will be provided based on data evidence and consistency with expert knowledge and ....Reducing 3D geological uncertainty via improved data interpretation methods. The integrity of 3D geological models heavily relies on robust and consistent data interpretation. This project proposes an innovative workflow for 3D modelling to minimise geological uncertainty. Advanced visualisation and intelligent decision support methods will be combined to assist geological interpretation. Feedback on interpretation will be provided based on data evidence and consistency with expert knowledge and previous interpretations. The process can be considered as a spelling and grammar checker for geological interpretation. The outcome of this study aims to achieve an improved workflow that reduces model uncertainty, resulting in a broad and significant impact on the management of Australian mineral, energy and water resources.Read moreRead less