Special Research Initiatives - Grant ID: SR0354895
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statist ....Financial Integrity Research Network (FIRN). FIRN will be directed towards innovation in the integrity and efficiency of Australia's financial system. To address pressing problems and threats associated with this key component of Australia's infrastructure, FIRN will bring together a multi-disciplinary network featuring internationally renowned academics in a unique collaborative research effort which will cross conventional disciplinary boundaries including financial economics, applied statistics, actuarial science, financial mathematics, market micro-structure, accounting and information systems. FIRN will be supported by SIRCA's world-class financial research infrastructure and industry network. It will deliver a range of innovative research, educational, professional development and applied outcomes.Read moreRead less
ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the ....ARC Financial Integrity Research Network. The integrity of the financial system is constantly under stress because of the development of ever more complex financial instruments, structures and strategies, and the associated research technologies that continues to accelerate worldwide. FIRN's vision is to harness the considerable strengths of Australia's internationally renowned finance, accounting and economics researchers into a research agenda to address issues concerning the integrity of the financial system. It will enable Australian research in this area to match the scale and impact of similar research in other major international financial centres, and play an essential role in placing Australia among the world's leaders in financial markets related research.Read moreRead less
New Approaches to Modelling Operational Risk in the Light of the Basel II Accord. The outcome of this project will be useful for Australian banks, because they will be required by the Basel II Accord to calculate capital to be held against operational risk. The benefits will accrue to Australian banks as the results should help them understand the effects of operational risk and how to manage it more effectively. The benefits will also accrue to the Australian Prudential Regulatory Authority, by ....New Approaches to Modelling Operational Risk in the Light of the Basel II Accord. The outcome of this project will be useful for Australian banks, because they will be required by the Basel II Accord to calculate capital to be held against operational risk. The benefits will accrue to Australian banks as the results should help them understand the effects of operational risk and how to manage it more effectively. The benefits will also accrue to the Australian Prudential Regulatory Authority, by providing some guidelines on the implementation of the Accord. The outcome of this project, which quantifies the risks due to crime and terrorism, will be useful for the Australian community at large.Read moreRead less
How do company announcements affect trading frequency in stocks? This project addresses the question of how financial markets respond to news by investigating how company announcements affect trading patterns in Australian banking stocks. Analysis will be based on new extensions to autoregressive conditional hazard (ACH) models, with research focussing on how to incorporate announcement variables into an ACH framework and how to modify standard ACH analysis to account for simultaneous transactio ....How do company announcements affect trading frequency in stocks? This project addresses the question of how financial markets respond to news by investigating how company announcements affect trading patterns in Australian banking stocks. Analysis will be based on new extensions to autoregressive conditional hazard (ACH) models, with research focussing on how to incorporate announcement variables into an ACH framework and how to modify standard ACH analysis to account for simultaneous transactions, market frictions and spillover effects. The results of this research will assist government and companies in choosing announcement times, aid traders in portfolio adjustment and will lead to a better understanding of the microstructure of Australian stock markets.Read moreRead less
New Statistical Procedures for Analysing Dependence in Non-Gaussian Time Series Data. In the economic, finance and business spheres, statistical data is often discrete, binary, strictly positive, or characterized by an uneven distribution of values above and below the average. Prominent examples are the high frequency financial data that have become accessible with the computerization of financial markets, including the number of trades in successive time intervals, the direction of price change ....New Statistical Procedures for Analysing Dependence in Non-Gaussian Time Series Data. In the economic, finance and business spheres, statistical data is often discrete, binary, strictly positive, or characterized by an uneven distribution of values above and below the average. Prominent examples are the high frequency financial data that have become accessible with the computerization of financial markets, including the number of trades in successive time intervals, the direction of price changes, the time between trades and the return on a financial asset over short periods. This project develops a range of new statistical tools that will enable both researchers and practitioners to analyze the dynamic behaviour in such data and thereby validate and implement a range of financial models.Read moreRead less
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.Read moreRead less
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. Read moreRead less
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.Read moreRead less