Big Data and AI in Asset Pricing

Advancing Asset Pricing Models in the Era of Big Data and Artificial Intelligence: Leveraging Advanced Analytics for Valuation and Investment Strategies

Degree type


Closing date

25 September 2023



Citizenship requirement

Domestic / International

About the research project

The emergence of big data and artificial intelligence (AI) has revolutionized numerous fields within the financial sector, particularly asset pricing. This transformation brings forth a range of opportunities and challenges for investors and financial practitioners. This project aims to explore the implications of big data and AI on asset pricing models and develop innovative strategies to leverage these technologies for enhanced valuation and investment

This doctoral project will investigate how big data and AI can augment traditional asset pricing models by utilizing advanced data analytics techniques (such as deep and machine learning, time series analysis, etc.) and algorithms. It will examine the potential of these technologies to improve risk-adjusted return estimation, factor selection, asset allocation, and portfolio optimization for Tasmanian organizations (e.g., Tassal Group, Pure Foods Tasmania Ltd, Tasman Resource Ltd., Spirit Super, etc.) and the global context. The project will also address the ethical and regulatory considerations of integrating big data and AI in asset pricing.

The significance of this project lies in its potential to enhance asset pricing models and provide valuable insights for investors and financial practitioners. By incorporating advanced analytics and AI techniques, market participants can make informed investment decisions, mitigate risks, and improve portfolio performance. The findings of this research will have practical implications for asset managers, financial institutions, and policymakers seeking to leverage big data and AI for enhanced asset pricing. The benefits of this research will enable Tasmanian investment organisations to value investment opportunities better (including Tasmanian industry exposures) and reduce their exposure to risks.

Primary Supervisor

Meet A/Prof Joaquin Vespignani


Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $31,500 per annum (2023 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Other funding opportunities and fees

For further information regarding other scholarships on offer, and the various fees of undertaking a research degree, please visit our Scholarships and fees on research degrees page.


Applicants should review the Higher Degree by Research minimum entry requirements.

Ensure your eligibility for the scholarship round by referring to our Key Dates.

Additional eligibility criteria specific to this project/scholarship:

  • Applicants must be able to undertake the project on-campus

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Strong background in finance, economics, or related fields
  • Strong quantitative research skills and proficiency in advanced analytics techniques

Additional desirable selection criteria specific to this project:

  • Experience in working with big data analytics and AI tools
  • Familiarity with asset pricing models and techniques

Application process

  1. Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
  2. Contact A/Prof Joaquin Vespignani to discuss your suitability and the project's requirements; and
  3. In your application:
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
  4. Apply prior to 25 September 2023.

Full details of the application process can be found under the 'How to apply' section of the Research Degrees website.

Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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