Institute of Advanced Investment ManagementIAIM AI in Investing Knowledge Center
Research & Insights
AI-focused research notes, market commentary, faculty perspectives, and summaries of emerging investment ideas.
About Research & Insights
Connecting research with investment practice.
Artificial intelligence is reshaping how financial information is analyzed, investment strategies are developed, and risks are assessed.
IAIM’s Research & Insights library brings together selected academic studies, institutional market perspectives, faculty resources, and emerging ideas to help investors better understand the opportunities and limitations of AI in finance.
Explore the library
Browse research by topic.
Explore selected publications and insights organized around the four main focus areas.
Research Notes & Studies
Exploring AI through investment research.
Selected research examining whether AI can improve investment decisions, generate meaningful signals, and support quantitative analysis.
Do LLM “Crowds” Produce Investment Signals? An Empirical Test
Can a group of AI-generated investor personas outperform traditional investment strategies? This study tests whether combining stock selections from 100 different LLM personas creates a meaningful investment advantage.
While the results initially appear promising, the research finds that much of the apparent performance may reflect overlapping exposure to prominent large-cap stocks rather than genuinely independent investment insights.
Read Research →Testing AI-Assisted Research for Multi-Asset Strategies
A study of systematic trading strategies across six ETFs examines how ChatGPT and Claude can assist quantitative research, coding, and analysis. The study emphasizes precise instructions and independent verification of results.
Read Research →The Growth and Performance of AI in Asset Management
Researchers examine the expansion of AI-driven investing and hedge fund performance. The findings suggest that early AI adopters experienced performance advantages, although those advantages have diminished over time.
Read Working Paper →Artificial Intelligence Asset Pricing Models
This paper explores the use of transformer-based AI models in asset pricing, finding reductions in pricing errors relative to earlier machine-learning approaches.
Read Working Paper →Market Commentary
AI’s influence on financial markets.
Institutional perspectives on AI investment, market valuations, economic transformation, capital allocation, and financial stability.
Global Financial Markets Face Rising AI Risks
The IMF examines the risk that expectations for AI-related profits and investment may outpace actual results. Concentrated market exposures and leverage could amplify financial-market corrections.
Read IMF Commentary →AI Investment, Scarcity, and Market Opportunities
BlackRock examines how AI infrastructure demand, energy constraints, capital spending, and changing market dynamics may influence asset allocation and long-term investment opportunities.
Read Investment Outlook →What Investment Data Implies About the AI Transition
This research uses AI-related capital investment data to investigate the economic transformation implied by current spending levels and the productivity growth needed to support them.
Read Working Paper →Faculty Perspectives
Academic expertise meets emerging technology.
Connect with faculty research and perspectives relevant to AI, investment management, and responsible decision-making.
Quentin Baldwin: Responsible AI Adoption
Professor Quentin Baldwin’s teaching and applied work focuses on responsible AI adoption, data-informed decisions, leadership, and organizational change. His faculty profile explores how AI can be integrated while maintaining accountability and human judgment.
View Faculty Profile →Michael Cooper: Research Discipline and Asset Pricing
Professor Michael Cooper’s work on equity return predictability, data-snooping concerns, and investment behavior offers an important research foundation for evaluating new investment strategies, including those developed with AI.
View Faculty Profile →Explore IAIM Faculty & Research
IAIM brings together faculty working across asset pricing, financial markets, institutional investing, and related business disciplines. Explore their academic backgrounds and research interests.
Explore IAIM Faculty →Emerging Investment Ideas
New questions at the intersection of AI and finance.
Research exploring AI agents, new investment signals, portfolio construction, and the future of financial decision-making.
Agentic AI Systems for Asset Pricing
Researchers introduce a real-time evaluation framework for AI agents that analyze financial announcements and explain stock returns. The study addresses look-ahead bias, interpretability, and the challenge of testing AI investment models.
Read Research →Managing LLM Bias in Investing
This report examines how framing and other biases affect AI-generated investment analysis. It evaluates practical approaches to bias detection and mitigation, including balanced prompting and human review.
Read CFA Research →AI in Investment Management: 2026 Outlook
Two Sigma researchers and investment professionals discuss how AI is changing investment research, feature development, productivity, and portfolio workflows, while examining overfitting, model limitations, and human oversight.
Read Industry Perspectives →Continue Exploring
More AI resources from IAIM.
Research is one part of understanding AI’s role in investing. Explore current industry developments, real-world firm implementations, and tools used by investment professionals.
AI for Investment Management Brief
Follow new AI tools, industry adoption, regulatory developments, and practical investment applications through IAIM’s monthly brief.
Read Monthly Brief →AI Use Case Library
Explore documented examples of investment firms applying AI in research, portfolio management, wealth advisory, and operations.
Explore Case Studies →AI Tools for Investment Professionals
Discover platforms supporting investment research, market intelligence, due diligence, financial modeling, and portfolio workflows.
Explore AI Tools →Stay Connected
Follow emerging research in AI and investment management.
Join IAIM updates to discover new research, market insights, industry perspectives, events, and opportunities to engage with the IAIM community.