We are excited to invite tenure-track and tenured faculty members and mid- and advanced-stage PhD students from all around the world to apply for the NTU Summer School – AI for Finance that will take place from 4 to 6 July 2025 at Nanyang Business School, Nanyang Technological University (Singapore).
This intensive three-day summer school provides a comprehensive curriculum with tools and practical computational skills in AI applications for finance. The curriculum will foster a close integration of economics, computing, and data sciences to advance research in asset pricing, corporate finance, and financial accounting. Do not miss the opportunity to enhance your skills and advance your research in this rapidly evolving field.
- Application Deadline: 20 April 2025, 11:59PM (SGT)
- Notification of Admission Results: 10 May 2025
Summer School Fees (for shortlisted applicants):
- PhD students: SGD$500
- Researcher/Faculty Members: SGD$1,000
Please note that these fees apply only to shortlisted applicants.
Lecturers
- Bo An (President's Chair Professor, Nanyang Technological University)
- Hui Chen (Nomura Professor of Finance, Massachusetts Institute of Technology)
- Semyon Malamud (Associate Professor of Finance, École Polytechnique Fédérale de Lausanne)
- Gordon Phillips (Laurence F. Whittemore Professor of Business Administration, Dartmouth College)
- Dacheng Xiu (Joseph Sondheimer Professor of Econometrics and Statistics, The University of Chicago Booth School of Business)
Programme Components & Target Audience
- Methods lectures: Designed for early-career researchers and advanced PhD students in finance, economics, accounting, and information systems, with an emphasis on a multidisciplinary approach integrating economics with AI.
- Lightning round presentations: An optional short-form presentation where participants summarise their research projects (early-stage projects encouraged) and receive valuable feedback.
- Poster sessions: PhD student participants are invited to prepare a poster illustrating their research and will have the opportunity to present their work.
Tentative Topics
- Overview of how machine learning and AI are transforming finance and accounting research
- Financial forecasting: from penalised regression techniques to deep neural networks and large language models (LLMs)
- Advances in deep learning for asset pricing and incorporating machine learning (ML) and AI into asset pricing models (including factor pricing, estimating the stochastic discount factor, etc.)
- Reinforcement learning for trading and portfolio management
- ML tools for solving and estimating dynamic structural models
- Use of computational linguistics and natural language processing (NLP) in finance, covering both traditional methods (e.g., topic models and latent Dirichlet allocation (LDA)) and state-of-the-art large language models
For any enquiries related to the summer school, please contact us at nbsknowlab@ntu.edu.sg.