Project summary
- Program
- PhD
- Location
- St Lucia
- Research area
- Commerce, management, tourism and services
Project description
Your goal is to formulate solutions for addressing the considerable data challenges present in the field of finance. Your focus will be particularly directed towards empirical asset pricing, investments, and fintech applications. This encompasses a comprehensive approach that involves but is not limited to, the formulation of optimal large-scale asset pricing tests aimed at refining our comprehension of risk pricing dynamics. In pursuit of this goal, you are expected to actively engage in the utilization of alternative data sources, and incorporation of advanced methodologies, such as machine learning to gain a more holistic understanding of markets and investor behaviours.
Research environment
You will be based at the finance discipline at University of Queensland (UQ) Business School which is research-driven and has senior professors who are at the top of their fields. The discipline group is one of the best resourced finance groups in Australia and has been rated above or well above the world standard in Excellence in Research for Australia. The UQ Business School possesses excellent infrastructure for the promotion of research, including modern workspaces, high-performance computers, relevant software, and access to leading financial databases. The candidate will have the opportunity to visit Singapore Management University (SMU) during the candidacy.
Scholarship
This is an Earmarked scholarship project that aligns with a recently awarded Australian Government grant.
The scholarship includes:
- living stipend of $35,000 per annum tax free (2024 rate), indexed annually
- your tuition fees covered
- single overseas student health cover (OSHC).
Learn more about the Earmarked scholarship.
Supervisor
Principal supervisor
You must contact the principal supervisor for this project to discuss your interest. You should only complete the online application after you have reached agreement on supervision.
Always make sure you are approaching your potential supervisor in a professional way. We have provided some guidelines for you on how to contact a supervisor.
Preferred educational background
Your application will be assessed on a competitive basis.
We take into account your:
- previous academic record
- publication record
- honours and awards
- employment history.
A working knowledge of empirical asset pricing theories and models, and strong programming skills including R and Python would be of benefit to someone working on this project.
You will demonstrate academic achievement in the field of finance and the potential for scholastic success.
A background or knowledge of finance and econometrics is highly desirable.
How to apply
This project requires candidates to commence no later than Research Quarter 1, 2025. To allow time for your application to be processed, we recommend applying no later than 30 September, 2024 30 June, 2024.
You can start in an earlier research quarter. See application dates.
Before you apply
- Check your eligibility for the Doctor of Philosophy (PhD).
- Prepare your documentation.
- Contact Associate Professor Min Zhu (m.zhu@business.uq.edu.au) to discuss your interest and suitability.
When you apply
You apply for this scholarship when you submit an application for a PhD. You don’t need to submit a separate scholarship application.
In your application ensure that under the ‘Scholarships and collaborative study’ section you select:
- My higher degree is not collaborative
- I am applying for, or have been awarded a scholarship or sponsorship
- UQ Earmarked Scholarship type.