Key Takeaways
- • SMU's Sim Kee Boon Institute for Financial Economics hosted the inaugural Quant Investment Forum: AI and Finance in partnership with the University of Maryland Centre for Financial Policy and UBS, convening over 150 leading academics and industry practitioners for a research-focused exchange on AI's impact on investment management and trading.
- • The one-and-a-half-day forum, held at UBS's Singapore office, simultaneously marked SKBI's 16th Annual Conference and brought together researchers from Harvard University, Washington State University, Tsinghua University, Peking University, and the University of Hong Kong alongside institutional investment professionals.
- • Keppel Professor in Financial Economics Zhang Hong, Director of SKBI, characterized the forum as reflecting SMU's strategic positioning at the intersection of AI, quantitative finance, and investment management, with explicit focus on advancing cutting-edge research and fostering dialogue on responsible AI application in investment markets.
- • The collaborative structure—combining academic institutions with a major global financial services firm (UBS)—positioned the forum to generate market-relevant insights while examining foundational questions about AI's capacity to enhance investment precision and investor performance.
Summary
The Sim Kee Boon Institute for Financial Economics at Singapore Management University convened a landmark industry forum on July 14, 2026, bringing together leading academic researchers and investment professionals to examine artificial intelligence's evolving role in investment management and quantitative finance. The inaugural Quant Investment Forum: AI and Finance was organized in partnership with the University of Maryland Centre for Financial Policy and hosted by UBS at its Singapore office, drawing over 150 participants for a one-and-a-half-day research exchange.
The forum simultaneously served as SKBI's 16th Annual Conference, underscoring SMU's institutional commitment to the intersection of AI and quantitative finance. Academic participants represented a globally distributed cohort of top-tier institutions, including Harvard University, Washington State University, China-based Tsinghua University and Peking University, and the University of Hong Kong. This geographic and institutional diversity positioned the forum to surface international perspectives on AI's application in capital markets.
Zhang Hong, Keppel Professor in Financial Economics and Director of SKBI, articulated the strategic rationale for the partnership, stating that the forum reflects SMU's growing role at the nexus of AI, quantitative finance, and investment management. He emphasized that the collaboration "brings together leading researchers to advance cutting-edge research and foster meaningful dialogue with industry participants on the future of investing." Zhang further noted that the platform is designed to "generate insights that strengthen financial markets and support the responsible application of AI in investment management"—a framing that signals institutional attention to both performance and governance dimensions of AI deployment in finance.
The forum's central research questions—whether AI can become a better investor and how it can enable more precise investment analysis—reflect practitioner concerns about artificial intelligence's capacity to deliver competitive advantage while maintaining market stability and fiduciary responsibility. By combining academic rigor with industry participation, the event positioned itself as a knowledge exchange mechanism rather than a networking event, aimed at advancing the empirical and theoretical foundations for AI-driven investment strategies.
The forum simultaneously served as SKBI's 16th Annual Conference, underscoring SMU's institutional commitment to the intersection of AI and quantitative finance. Academic participants represented a globally distributed cohort of top-tier institutions, including Harvard University, Washington State University, China-based Tsinghua University and Peking University, and the University of Hong Kong. This geographic and institutional diversity positioned the forum to surface international perspectives on AI's application in capital markets.
Zhang Hong, Keppel Professor in Financial Economics and Director of SKBI, articulated the strategic rationale for the partnership, stating that the forum reflects SMU's growing role at the nexus of AI, quantitative finance, and investment management. He emphasized that the collaboration "brings together leading researchers to advance cutting-edge research and foster meaningful dialogue with industry participants on the future of investing." Zhang further noted that the platform is designed to "generate insights that strengthen financial markets and support the responsible application of AI in investment management"—a framing that signals institutional attention to both performance and governance dimensions of AI deployment in finance.
The forum's central research questions—whether AI can become a better investor and how it can enable more precise investment analysis—reflect practitioner concerns about artificial intelligence's capacity to deliver competitive advantage while maintaining market stability and fiduciary responsibility. By combining academic rigor with industry participation, the event positioned itself as a knowledge exchange mechanism rather than a networking event, aimed at advancing the empirical and theoretical foundations for AI-driven investment strategies.
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