Bayesian Inference for Flexible Parametric Multivariate Econometric Modelling. The anticipated outcomes include the development of enhanced multivariate econometric models and innovative computationally intensive methods for their estimation. These models are used in numerous and diverse applications which are data-intensive and where more complete models will greatly enhance data-based decision-making. Results include improved information use in the wholesale electricity markets, in financial m ....Bayesian Inference for Flexible Parametric Multivariate Econometric Modelling. The anticipated outcomes include the development of enhanced multivariate econometric models and innovative computationally intensive methods for their estimation. These models are used in numerous and diverse applications which are data-intensive and where more complete models will greatly enhance data-based decision-making. Results include improved information use in the wholesale electricity markets, in financial market investment decision-making and for the assessment of the impact of internet advertising.Read moreRead less
The predictive, behavioural and economic forecasting performance of alternative credit risk and bankruptcy models: a global study. This study empirically evaluates a range of "new age" credit risk models using a large global sample of failed firms and bond ratings data. The study will provide a substantive body of empirical evidence to assist regulators, creditors, investors and other users assess the merits, strengths and limitations of alternative risk modelling approaches.
Deep learning based time series modeling and financial forecasting. This project pursues breakthroughs in time series modelling and develops novel statistical models and inference techniques, with a focus on modelling of financial time series data. The advances will be achieved through interdisciplinary research, combining recent advances in machine learning, Bayesian computation, financial econometrics and the increasing availability of Big Data. The outcomes will provide a new range of proven ....Deep learning based time series modeling and financial forecasting. This project pursues breakthroughs in time series modelling and develops novel statistical models and inference techniques, with a focus on modelling of financial time series data. The advances will be achieved through interdisciplinary research, combining recent advances in machine learning, Bayesian computation, financial econometrics and the increasing availability of Big Data. The outcomes will provide a new range of proven and powerful approaches for analysing time series and understanding time effects. The methodologies developed will lead to a greater accuracy in financial forecasting and risk management, and open up new horizons for the wider scientific community to analyse time series data.Read moreRead less
Information Content of Order Flows in the Foreign Exchange and Commodities Markets. The Australian economy depends heavily on resources and commodities markets. The Australian dollar is the sixth most actively traded currency in the world and is more volatile than all other major currencies except the Japanese yen. The proposed study seeks to improve volatility forecasts and hedging effectiveness for foreign exchange and commodity risks, which will create significant benefits for the Australian ....Information Content of Order Flows in the Foreign Exchange and Commodities Markets. The Australian economy depends heavily on resources and commodities markets. The Australian dollar is the sixth most actively traded currency in the world and is more volatile than all other major currencies except the Japanese yen. The proposed study seeks to improve volatility forecasts and hedging effectiveness for foreign exchange and commodity risks, which will create significant benefits for the Australian economy, corporations, and investors. In addition, the project will enhance investment performance and risk management practice of financial institutions, improving the overall safety of our financial system. It will also foster research culture and increase research capacity of Australian financial institutions.Read moreRead less
Building flexible multivariate models and their application in Finance. The project will develop methods for analyzing the properties of dependent measurements that may evolve through time. The new methods will significantly improve on current best statistical practice and will be applied to important problems in the financial sector such as asset allocation and risk management. The financial sector is a vital part of the Australian economy and it is important to understand the joint behavior of ....Building flexible multivariate models and their application in Finance. The project will develop methods for analyzing the properties of dependent measurements that may evolve through time. The new methods will significantly improve on current best statistical practice and will be applied to important problems in the financial sector such as asset allocation and risk management. The financial sector is a vital part of the Australian economy and it is important to understand the joint behavior of financial assets in order to understand and allow for risk. The methods will have immediate application in other disciplines such as medicine, engineering and the environmental sciences. The project will train a postdoctoral student and three PhD students in cutting edge financial econometrics. Read moreRead less
Managing the risk of price spikes, dependences and contagion effects in australian electricity markets. Australian electricity markets are more volatile and spike-prone than other comparable markets. Price spikes account for large parts of total price variation, and companies that are unprepared to manage these risks adequately face potentially substantial losses. The economic reality of price spikes in our interconnected electricity markets which are small and geographically isolated, unlike th ....Managing the risk of price spikes, dependences and contagion effects in australian electricity markets. Australian electricity markets are more volatile and spike-prone than other comparable markets. Price spikes account for large parts of total price variation, and companies that are unprepared to manage these risks adequately face potentially substantial losses. The economic reality of price spikes in our interconnected electricity markets which are small and geographically isolated, unlike the proximate markets of Europe and North America, emphasises the imperative of this Australian-focused research. Results will enable forecasting of extreme prices and enable market participants to manage better their risks, in Australia's unique electricity environment, and reduce chances of large losses or default.Read moreRead less
Diversification failures and improved measures of uncertainty. The project aims to develop new statistical tools, applicable when the conventional paradigm that diversification reduces risk fails and when textbook approaches to risk quantification severely under-report risk. The new tools enhance our capacity to build and manage natural, social and human-made systems in uncertain environments. Our effective response to many threats including financial crises and natural events, depends on this c ....Diversification failures and improved measures of uncertainty. The project aims to develop new statistical tools, applicable when the conventional paradigm that diversification reduces risk fails and when textbook approaches to risk quantification severely under-report risk. The new tools enhance our capacity to build and manage natural, social and human-made systems in uncertain environments. Our effective response to many threats including financial crises and natural events, depends on this capacity. Thus, the expected benefits in the form of more reliable and robust risk analytics will accrue when they are most needed.Read moreRead less