PhD Programme

The Faculty of Finance at Bayes welcomes PhD students from around the globe to study in the world’s leading capital city for finance.

Consisting of over 50 world-leading scholars, we offer a dynamic, stimulating and rigorous environment for students wanting to conduct high-quality finance research.

We are proud of our track record in helping PhD graduates take up academic positions in leading business schools and universities, or obtain research jobs with policy institutions and governmental departments.

Wide-ranging expertise

We cover a diverse array of finance disciplines, including:

• Accounting
• Asset Pricing and Investments
• Banking
• Corporate Finance
• Econometrics
• Mathematical Finance
• Real Estate Finance and Investment
• Shipping, Trade and Finance.

Creating the academic leaders of tomorrow

Usually running across four years, the PhD Finance Programme:

• Offers comprehensive training in research theory and methods
• Develops specific skills such as academic writing and conference presentation
• Supports students to commence research and defend papers
• Prepares students to defend their final thesis in the viva voce exam
• Introduces students to the academic job market, with workshops on how to review and publish papers
• Encourages students as they plot their graduate career path.

A thriving research community

We offer a variety of development opportunities including:

• Finance Research Days – a yearly workshop where Bayes Finance PhD students present their research to their peers and Faculty
• Reading groups in different subject areas, allowing students to deep dive into current research papers
• Finance seminars, research workshops and regular PhD training sessions with prestigious seminar speakers.

Supporting students to publish papers

With the encouragement and support of our supervisors, PhD students gain confidence in academic publishing. Highlights of recent papers include:

• Spreng, L and Urga, G (forthcoming). Combining p-Values for Multivariate Predictive Ability Testing, Journal of Business & Economic Statistics. doi:10.1080/07350015.2022.2067545
• De Amicis, C., Falconieri, S. and Tastan, M. (2021), Sentiment analysis and gender differences in earnings conference calls. Journal of Corporate Finance, 71, pp. 101809–101809. doi:10.1016/j.jcorpfin.2020.101809.
• Jiaying Li (2022). Litigation Risk and Employment: Evidence from the Universal Demand Laws. Awarded the Larry Lang Corporate Finance Best Paper Award (EFMA2022) and John.

PhD applications

Learn more about applying for a PhD in Finance at Bayes, including details of fees and financial support available.