A New framework to improve human-robot interaction in financial markets. This project aims to investigate the interaction of humans with robots (automated, algorithmic traders) in financial markets. It will build a novel environment based on controlled experiments within the context of financial markets. It is expected to discover how market participants choose to engage robots, and when and why robots are disengaged. The project will also investigate how the use of robots affects price behavio ....A New framework to improve human-robot interaction in financial markets. This project aims to investigate the interaction of humans with robots (automated, algorithmic traders) in financial markets. It will build a novel environment based on controlled experiments within the context of financial markets. It is expected to discover how market participants choose to engage robots, and when and why robots are disengaged. The project will also investigate how the use of robots affects price behaviour, and efficiency of allocation. This will provide significant benefits, such as enhancing Australia’s capacity for the scientific study of financial markets and for developing financial technology using an experimental method.Read moreRead less
Ownership linkages and the functioning of inter-firm capital markets during the Global Financial Crisis. A firm's dependence on outside funding can lead to catastrophic consequences in the face of a crisis that severely curtails the functioning of external capital markets. This project investigates how ownership linkages between firms improve their fundraising and investment capabilities even when facing substantial shocks to the financial system.
Discovery Early Career Researcher Award - Grant ID: DE150101889
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Insider trading in financial markets. Insider trading destroys confidence in financial markets and undermines their fairness and efficiency. Substantial amounts of taxpayer money are spent each year in combatting insider trading, and yet cases of insider trading remain abundant. This project aims to advance our understanding of insider trading, its prevalence, social costs, characteristics and determinants, and how it responds to different penalties. This project aims to allow for more efficient ....Insider trading in financial markets. Insider trading destroys confidence in financial markets and undermines their fairness and efficiency. Substantial amounts of taxpayer money are spent each year in combatting insider trading, and yet cases of insider trading remain abundant. This project aims to advance our understanding of insider trading, its prevalence, social costs, characteristics and determinants, and how it responds to different penalties. This project aims to allow for more efficient use of regulatory resources through better rules, more accurate detection methods, and increased deterrence. It aims to benefit society through fairer and more efficient markets.Read moreRead less
Household mortgage choice: theoretical and empirical evidence. A house is often the largest component of household assets, and financing its purchase involves choosing a mortgage product from many alternatives. Inefficiencies and incompleteness in mortgage markets have important consequences. This project uncovers theoretical and empirical evidence on why Australians choose particular mortgage products.
Australian Laureate Fellowships - Grant ID: FL120100034
Funder
Australian Research Council
Funding Amount
$2,002,560.00
Summary
Black swans and unknown unknowns: financial markets and their interaction with the macroeconomy in the presence of unanticipated contingencies. Unforeseen contingencies, also called 'black swans' or 'unknown unknowns' pose serious difficulties for decisionmakers. This project will examine how financial regulation can be improved to reduce the vulnerability of the financial system and the macroeconomy to unforeseen shocks.
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
Innovative approach to a fair tax system for Multinationals and Governments. Multinationals (MNCs) tax avoidance has become a national blight and a global problem impacting tax fairness, transparency and economic efficiency. This project aims to find the optimal solution for the tax avoidance problem for both MNCs and governments via effective cost-benefit analysis through the design of a cutting-edge interdisciplinary machine-learning technique. Expected outcomes will include profound breakthro ....Innovative approach to a fair tax system for Multinationals and Governments. Multinationals (MNCs) tax avoidance has become a national blight and a global problem impacting tax fairness, transparency and economic efficiency. This project aims to find the optimal solution for the tax avoidance problem for both MNCs and governments via effective cost-benefit analysis through the design of a cutting-edge interdisciplinary machine-learning technique. Expected outcomes will include profound breakthroughs for enhancing economic growth via tax policy reform in Australia but also globally through cross-country tax avoidance comparison. The benefits will be instrumental in reforming fiscal and investment policies that are highly critical for improving economic welfare and capital inflows in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE140100253
Funder
Australian Research Council
Funding Amount
$373,700.00
Summary
Bank governance and financial crisis: implications for bank risk-taking, earnings management, and information efficiency. The global financial crisis signified that the connections between the governance of banks, their performance, and the long-term stability of the financial system are not well understood. This project investigates how executives' compensation, audit efforts and ownership structure in banks impact their risk-taking, accounting choices and information flows in a global setting ....Bank governance and financial crisis: implications for bank risk-taking, earnings management, and information efficiency. The global financial crisis signified that the connections between the governance of banks, their performance, and the long-term stability of the financial system are not well understood. This project investigates how executives' compensation, audit efforts and ownership structure in banks impact their risk-taking, accounting choices and information flows in a global setting for the periods before and around the crisis. The project findings will advance our knowledge of how to improve the existing monitoring systems of banks to safeguard the economy and to provide a more transparent bank system. The project will also facilitate an evaluation of the effectiveness of various reforms that were initiated following the crisis.Read moreRead less
Political connections and the cleantech transition in China and Australia. Estimates show that the transition to clean technology will likely create $20 trillion in wealth worldwide. This project aims to analyse how corporate investment and government strategies are deployed in China and Australia to maximise wealth capture. Taking into consideration the critical role of government policy in the cleantech transition, the project attempts to determine how carbon-intensive and cleantech firms use ....Political connections and the cleantech transition in China and Australia. Estimates show that the transition to clean technology will likely create $20 trillion in wealth worldwide. This project aims to analyse how corporate investment and government strategies are deployed in China and Australia to maximise wealth capture. Taking into consideration the critical role of government policy in the cleantech transition, the project attempts to determine how carbon-intensive and cleantech firms use political connections as a mechanism for mitigating risks and taking advantage of opportunities. This project focuses on the relation between politically connected boards and the cleantech transition, and seeks to empirically show the economic importance and value effects of political connections in two countries.Read moreRead less
The Importance of Being Politically Connected. The literature on the importance of political connections to firms and their value implications is scant. This project aims to develop a framework that depicts the interplay of political connections, institutional factors, corporate governance, media coverage and firm value. In particular, it investigates how political connections enhance the value of firms in China and how this changes as the market transitions.