CfP Deadline:
April 10, 2026
Conference Event:
June 15-16, 2026
Event Location:
Singapore (Exact venue to be announced)
Organizer(s):
- University of Maryland Center for Financial Policy (CFP)
- Singapore Management University’s Sim Kee Boon Institute (SKBI)
- UBS Quant Investment Forum
Description:
The inaugural University of Maryland Center for Financial Policy (CFP), Singapore Management University’s Sim Kee Boon Institute (SKBI), UBS Quant Investment Forum will be held in Singapore, bringing together leading academics and industry practitioners for a focused 1.5-day meeting on the transformative role of Artificial Intelligence and other new technologies in finance, with a focus on investment management and trading.
The forum is designed to be an intimate, high-quality venue for in-depth discussion and feedback. We seek pioneering papers that bridge rigorous academic research and practical application, with a special interest in investment-focused studies. We welcome submissions that:
- Apply novel AI methodologies to solve core problems in investments and financial markets.
- Utilize alternative data or foundational models to generate actionable insights for asset management, trading, or risk assessment.
- Offer relevant perspectives for Asian markets and the broader global investment community.
TOPICS OF INTEREST
- Submissions are encouraged primarily within the following four core areas, though other high-quality papers at the intersection of AI and Finance are also welcome:
- AI for Investments & Asset Pricing
- Alternative Data and Investment Insights
- Portfolio & Risk Management
- Algorithmic Trading & Market Impact
Submission:
The submission deadline is 10 April 2026. Academic presenters of accepted papers will receive a travel honorarium to help defray airfare costs. A non-refundable submission fee of $95 SGD (approximately $75 USD) inclusive of tax is required for each paper. Authors submitting multiple papers must submit each paper separately by clicking the submission link again and completing a new payment for each paper.