The CFA Institute Research and Policy Center has unveiled its most influential publications for 2025, highlighting vital research that assists investment professionals in addressing structural changes, emerging risks, and technological innovations in global markets. The focus areas of this year’s popular pieces include the integration of artificial intelligence (AI) in asset management, capital formation dynamics in Africa, tokenization, pension systems, and ethical considerations surrounding private markets.
A notable publication, edited by Joseph Simonian, PhD, illustrates how AI and machine learning are revolutionizing asset management practices, offering insight into portfolio design and risk oversight from industry experts. Similarly, an initiative addressing net-zero strategies features contributions from over 50 authors and provides tactical advice for investors and regulators, earning recognition for excellence in sustainable development.
Another significant report tackles barriers to capital formation in sub-Saharan Africa, emphasizing the role of private markets, fintech, and policy reforms in enhancing investment opportunities. Additionally, the importance of transparent AI in finance is discussed, underscoring its necessity for regulatory compliance and institutional trust.
The publications also explore tokenization’s transformative effects on traditional assets and highlight the expansive potential of exchange-traded funds (ETFs). Furthermore, a study examines continuation funds in private markets, analyzing their growth and inherent conflicts of interest.
The CFA Institute’s research emphasizes the evolving landscape of investment strategies and the critical role of ethics and transparency in ensuring sustainable financial practices.
Why this story matters: The research provides essential insights for navigating complex investment environments and informs best practices across global markets.
Key takeaway: AI’s integration in finance and a focus on ethical standards are driving significant changes in asset management.
Opposing viewpoint: Critics may argue that the rapid adoption of AI and tokenization introduces risks that could outweigh their benefits without adequate oversight.
