Scope: The NTU Summer School/Conference on AI for Finance will focus on the financial implications and applications of artificial intelligence, addressing the rapid adoption of AI technologies within the financial sector.
The summer school will offer three days of intensive lectures and workshops, while a one-day conference will bring together top researchers and leading practitioners to discuss recent advances in both theoretical and applied work in AI for finance. In addition, the conference will serve as a platform to unite academic researchers and practitioners, facilitating discussions on cutting-edge AI research in asset pricing, portfolio management, corporate finance, and financial accounting.
Summer School Lecturers:
• Professor Bo An (Nanyang Technological University)
• Professor Hui Chen (Massachusetts Institute of Technology)
• Professor Semyon Malamud (École Polytechnique Fédérale de Lausanne)
• Professor Gordon Phillips (Dartmouth College)
• Professor Dacheng Xiu (The University of Chicago Booth School of Business)
Conference Scientific Committee
Chairpersons:
• Professor Jun Yang (Nanyang Technological University)
• Professor Hui Chen (Massachusetts Institute of Technology)
Committee members:
• Professor Bo An (Nanyang Technological University)
• Professor Svetlana Brzgalova (London Business School)
• Professor Leland Bybee (The University of Chicago Booth School of Business)
• Professor Xin (Simba) Chang (Nanyang Technological University)
• Professor Zhimin Chen (Nanyang Technological University)
• Professor Lauren Cohen (Harvard University)
• Professor William Cong (Cornell University)
• Professor Winston Dou (University of Pennsylvania)
• Professor Anastassia Fedyk (UC Berkeley)
• Professor Byoung-Hyoun Hwang (Nanyang Technological University)
• Professor Wei Jiang (Emory University)
• Professor Serhiy Kozak (University of Maryland)
• Professor Roger Loh (Nanyang Technological University)
• Professor Semyon Malamud (École Polytechnique Fédérale de Lausanne)
• Professor Maximilian Muhn (The University of Chicago Booth School of Business)
• Professor Gordon Phillips (Dartmouth College)
• Professor Seth Pruitt (Arizona State University)
• Professor Sadat Reza (Nanyang Technological University)
• Professor Simon Scheidegger (University of Lausanne)
• Professor Yinan Su (Johns Hopkins University)
• Professor Huan Tang (University of Pennsylvania)
• Professor Neng Wang (Cheung Kong Graduate School of Business)
• Professor Dacheng Xiu (The University of Chicago Booth School of Business)
• Professor Yuchen Yang (University of Zurich)
• Professor Wenjun Zhu (Nanyang Technological University)
• Professor Guofu Zhou (Washington University in St. Louis)
Summer School Application
The NTU Summer School is open to early-career researchers and early/mid-stage PhD students from all around the world. This intensive three-day program will provide hands-on computational instruction and equip participants with essential tools for applying AI to finance. The curriculum will integrate economics, computing, and data sciences, with a focus on asset pricing, corporate finance, and financial accounting.
Tentative topics include:
• Overview of how machine learning and AI are transforming finance and accounting research
• Financial forecasting: from penalized regression techniques to deep neural networks and LLMs
• Advances in deep learning for asset pricing and incorporating ML/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/LDA) and state-of-the-art large language models
The application deadline is 20 April 2025, 11:59PM (SGT). Applicants will be informed of the admission results by 10 May 2025. Apply for summer school: https://event.ntu.edu.sg/ntu-summer-school-AI-2025
Conference Paper Submission
The Conference on AI for Finance invites faculty members, PhD students, industry practitioners, and thought leaders from all around the world to submit full papers that address the rising adoption of AI in finance. The conference organiser is open to papers within the broad area of cutting-edge AI research in asset pricing, portfolio management, corporate finance, and financial accounting.
Key topics include:
• Algorithmic and high-frequency trading strategies
• AI in Risk management and credit scoring
• AI-based Portfolio optimization
• Natural language processing in financial applications
• Robo-advisory services and fraud detection
• Financial forecasting and market sentiment analysis using AI/ML
• Reinforcement learning for dynamic trading
• AI regulations and ethical decision-making in Financial AI
• Other AI-related research in finance
The submission deadline is 20 April 2025, 11:59PM (SGT). Applicants will be informed of the paper submission outcome by 10 May 2025. Submit your papers: https://event.ntu.edu.sg/call-for-papers-ai-for-finance-2025
