Modelling multivariate financial time series using copulas. What are the chances that the losses in the market value of investments exceed the anticipated levels? Given that one country's financial market collapsed, what are the chances that it would lead to financial crises in other countries? These questions often arise in risk management and international finance. This project takes a significant step forward from the existing literature to develop new flexible and innovative methods to an ....Modelling multivariate financial time series using copulas. What are the chances that the losses in the market value of investments exceed the anticipated levels? Given that one country's financial market collapsed, what are the chances that it would lead to financial crises in other countries? These questions often arise in risk management and international finance. This project takes a significant step forward from the existing literature to develop new flexible and innovative methods to answer the foregoing type of questions. Further, this project proposes new measures of market risks that are suitable for communicating to the broader public as well as the experts.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
When Markets Fail: A Comparative Assessment of Costs and Benefits of Trade Interruption. Stock exchanges worldwide provide the opportunity to instantaneously and continuously trade securities. The introduction of automated trading systems has considerably enhanced this opportunity. Surprisingly, exchanges still have (and use) the discretion to occasionally suspend trading in certain stocks. These trading halts are used to prevent a disorderly or uninformed response to pertinent company informati ....When Markets Fail: A Comparative Assessment of Costs and Benefits of Trade Interruption. Stock exchanges worldwide provide the opportunity to instantaneously and continuously trade securities. The introduction of automated trading systems has considerably enhanced this opportunity. Surprisingly, exchanges still have (and use) the discretion to occasionally suspend trading in certain stocks. These trading halts are used to prevent a disorderly or uninformed response to pertinent company information releases. Practitioners and academics tend to believe that trading halts do not serve this role well. We propose a new methodology to more accurately measure the costs and benefits of trade suspensions. We compare their impact on different trading systems, and evaluate their intertemporal performance.Read moreRead less
The impact of payout policy changes on firm value and short selling activities across different taxation regimes. Brealey et al (2011) assert that we don't know enough yet about how payout policy varies across firms. This project examines the information content of dividend changes and repurchase programs and the long-term market impact of these announcements, controlling for the substitution effect of repurchases/dividends in different institutional/tax regimes. This project also examines wheth ....The impact of payout policy changes on firm value and short selling activities across different taxation regimes. Brealey et al (2011) assert that we don't know enough yet about how payout policy varies across firms. This project examines the information content of dividend changes and repurchase programs and the long-term market impact of these announcements, controlling for the substitution effect of repurchases/dividends in different institutional/tax regimes. This project also examines whether short sellers manifest abnormal behaviour around the announcement of dividend changes and repurchase programs, and whether earnings are manipulated upwards to maintain the dividend or downwards prior to the announcement of repurchase programs. The findings will be of major interest to academics, managers, investors and regulators.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
Measuring the Effects of Interest Rate Volatility. Interest rate changes have important implications for highly influential macroeconomic variables and, for the investor, have direct implications for asset prices, net worth and future wealth. By considering unresearched areas concerning the behaviour and influence of interest rates our research will be of interest to an academic audience, government, regulators and market practitioners. Attention to Australia, the US and Asia means that the rese ....Measuring the Effects of Interest Rate Volatility. Interest rate changes have important implications for highly influential macroeconomic variables and, for the investor, have direct implications for asset prices, net worth and future wealth. By considering unresearched areas concerning the behaviour and influence of interest rates our research will be of interest to an academic audience, government, regulators and market practitioners. Attention to Australia, the US and Asia means that the research will be directly relevant to Australian decision-makers. Further, the project will yield papers for publication in top international journals, reinforcing Australia's reputation as a leading centre for financial research and enhance it's reputation for cutting-edge work.Read moreRead less
Understanding the Impact of Sovereign Wealth Funds on the Financial Markets. This project aims not only to reveal the impact of sovereign wealth fund (SWFs) on Australian international stock markets, but also to assess their investment behaviour. An SWF is an investment fund managed by a government or other organisation on behalf of a sovereign state. The impact of SWFs on international financial markets and their behaviour are of great importance to market participants as well as policy-makers. ....Understanding the Impact of Sovereign Wealth Funds on the Financial Markets. This project aims not only to reveal the impact of sovereign wealth fund (SWFs) on Australian international stock markets, but also to assess their investment behaviour. An SWF is an investment fund managed by a government or other organisation on behalf of a sovereign state. The impact of SWFs on international financial markets and their behaviour are of great importance to market participants as well as policy-makers. The project aims to measure the systemic risk contribution of SWFs and to analyse the anti-takeover provisions of SWFs’ target firms. In addition, the project aims to understand the relation between anti-takeover provisions and target firm value and will examine the role of SWFs as a socially responsible investor. The expected outcomes will improve our understanding of the impact of SWFs on the Australian financial markets in terms of social and economic wellbeing.Read moreRead less
Asset Pricing, Signal Type and Overconfident Investors. Recent bubbles in financial markets and other anxieties with regard to whether financial assets are correctly valued have led to a reduction in the confidence in financial markets. This study, by focussing upon potential biases in the price formation process, will provide strong insights into this important topic. In covering three major equity markets, the project will provide important guidance for the design of regulatory policies on c ....Asset Pricing, Signal Type and Overconfident Investors. Recent bubbles in financial markets and other anxieties with regard to whether financial assets are correctly valued have led to a reduction in the confidence in financial markets. This study, by focussing upon potential biases in the price formation process, will provide strong insights into this important topic. In covering three major equity markets, the project will provide important guidance for the design of regulatory policies on corporate disclosure by both Governments and Stock Exchanges. Given the increased need for funded superannuation/pension schemes, an increase in the confidence in capital market processes will benefit the development of successful funded schemes.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
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