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
Modelling stock market liquidity in Australia and the Asia Pacific Region. This project will develop new methods of assessing stock market liquidity in Australia and the Asia-Pacific region. These methods will use high frequency transactions-based data provided by the industry partner, SIRCA. The data will be the basis of smart information real time algorithms for measuring market liquidity. They will incorporate generalizations and extensions of recent developments in time series econometrics, ....Modelling stock market liquidity in Australia and the Asia Pacific Region. This project will develop new methods of assessing stock market liquidity in Australia and the Asia-Pacific region. These methods will use high frequency transactions-based data provided by the industry partner, SIRCA. The data will be the basis of smart information real time algorithms for measuring market liquidity. They will incorporate generalizations and extensions of recent developments in time series econometrics, and will be calibrated and evaluated statistically. The novel methods will be crucial to market participants and to regulators, who will be able to apply them to assess market depth and liquidity, and reduce trading costs substantially.Read moreRead less
Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intende ....Measuring uncertainty in global housing markets and its risk to Australia. This project aims to develop and construct a measure of systemic risk for the national real-estate markets in Australia, and its main trading partners, namely China, Japan, New Zealand, United Kingdom and United States of America. Recently developed methodology will be used to investigate how real estate risks migrate across these countries over time, and during periods of financial turbulence. This methodology is intended to be employed as part of a market stability surveillance program and for assessing the impact of real-estate risk on the overall economy. Early detection of the onset of future housing bubble collapses would be of significant benefit to policy makers, Australia’s trading partners, the real estate industry and ultimately home buyers.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
Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset ....Forecasting Risk Thresholds for Portfolio Management and Regulation. The project will develop new models and methods for dynamic risk modelling, assessment of portfolio risk, and forecasting of portfolio risk thresholds. These novel methods will have extensive applications across investment portfolios for banks and financial institutions globally. The techniques will feature a dynamic updating of risk estimates, and more accurate forecasting of portfolio risk, the correlations of portfolio asset classes, and Value at Risk (VaR) thresholds. The innovative methods and models will permit both financial institutions and regulatory authorities to model VaR thresholds more accurately, and enable investment managers to regulate and benchmark their portfolios more effectively against international best practice.
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Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional ....Asset Market Interconnectedness and Exotic Options: The Mean Impact Surface. The project intends to develop models to price financial risk more accurately during periods of financial stress and increasing global interconnectedness. Specifically, it plans to develop a new class of latent factor models with time-varying loadings to model the interconnectedness of global financial markets during periods of financial stress. A key feature of the proposed model is the role of second-order conditional moments of the underlying innovation processes in modelling asset return dynamics. The proposed model is characterised by higher order nonlinear structures which are captured graphically by the mean impact surface. The project also plans to develop a new class of tests to detect higher order dependencies among asset returns in the presence of time-varying volatility, and to investigate the implications for constructing portfolios with exotic options to hedge risk during financial crises.Read moreRead less
Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk f ....Understanding and Modelling Weather Derivatives in Australia for the Purpose of their Accurate Pricing: a Statistical and Econometric Investigation. Australia suffers some of the most adverse and extreme weather globally. Its government and industries, especially agriculture and electricity, stand to benefit from improved understanding of weather derivatives and capability to price them accurately. Tailored to Australian weather scenarios, weather derivatives will be tools to manage local risk factors, and increase global competitiveness by hedging against competitors' good weather-related advantage. The US weather derivative market, capitalised at over US$7.5b, began just 7 years ago; there is no organised Australian market. This project's smart techniques for improving pricing accuracy will support the development and vigorous growth of a local market.Read moreRead less
Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the ....Change Detection in Causal Relationships and Measurement of Systemic Risk. Empirical measures of interconnectedness between financial institutions based on tests of Granger causality are currently used in detecting systemic risk. However, researchers need to define periods of calm and stress exogenously in order to implement these tests appropriately. This project aims to develop a new procedure to identify changes in causal relationships and the timing of these changes. The new approach has the potential to be a significant improvement in the real-time identification of emerging turmoil in financial markets and provide an improved method for the detection of systemic risk. The new test procedure will be implemented using data for financial and non-financial institutions across Europe, the US and Australia.Read moreRead less
Trending time series models with non- and semi-parametric methods. The outcomes of this project will not only complement but also enhance the existing strengths and reputation of Australian researchers in the field of econometrics. The outcomes are also expected to help improve model building and forecasting from better models in climatology, economics, environmetrics and financial econometrics.
Detecting financial contagion using high frequency data. Financial crises spread extraordinarily quickly. However, existing tools for measuring this spread use relatively low frequency data. This project develops tools for measuring and detecting periods of stress and the effects of financial contagion in financial markets, using high frequency data based on recorded transaction prices.