Certificate
Data Science for Investment Professionals Certificate
Gain practical understanding of data science and machine learning applications in the investment process.
Understanding Technology, Big Data and AI
Latest developments in finance and investments More Technology, Big Data and AI Content
Financial Analysts Journal
Choices Matter When Training Machine Learning Models for Return Prediction
Common methods of using machine learning to predict cross-sectional stock returns can lead to suboptimal results. This study proposes two strategies that offer economic improvements.
Research Report
Unstructured Data and AI: Fine-Tuning LLMs to Enhance the Investment Process
Access to powerful LLMs like ChatGPT is reshaping roles in the investment profession. This report discusses how to ethically build investment models in the open-source community. It defines alternative data and presents an ESG investing case study.
Financial Analysts Journal
Predicting Corporate Bond Illiquidity via Machine Learning
Testing the predictive performance of machine-learning methods in estimating the illiquidity of US corporate bonds, this study finds that such techniques outperform most non-machine-learning-based models.
Featured Content
Enterprising Investor
Dangers and Opportunities Posed by the AI Skills Gap in Investment Management
AI is more than just another technology. It is a transformative force with the potential to redefine investment management. The industry's most significant barrier to harnessing this power is the widening AI skills gap, cautions Dan Philps, PhD, CFA.
Podcast
Ken Laudan: Investing in the Age of AI
Join Mike Wallberg, CFA, and Ken Laudan, portfolio manager of Buffalo Fund's Blue Chip Growth Fund, for a thought-provoking discussion on the future of AI in investing. Ken shares his contrary view on AI's transformational potential, drawing on his extensive experience as a sell-side analyst and buy-side portfolio manager.
Research Foundation
Handbook of Artificial Intelligence and Big Data Applications in Investments
Artificial intelligence (AI) and big data have their thumbprints all over the modern asset management firm. Like detectives investigating a crime, the practitioner contributors to this book put the latest data science techniques under the microscope. And like any good detective story, much of what is unveiled is at the same time surprising and hiding in plain sight.
Policy in Action
Enterprising Investor
Are Your Data Governance and Management Practices Keeping Pace with the AI Boom?
No matter how sophisticated and expensive a firm's AI tools are, it should not forget that the principle “garbage in, garbage out” (GIGO) applies to the entire investment management process.
Research Report
CFA Institute and CFA Society Spain Briefing Paper on Fintech in the EU
This report gauges the opinions of CFA Institute members in the EU on the evolution of financial technologies, including the benefits and challenges for the investment industry. It is based on an informal survey of local societies in the EU.
Comment Letter
Rendering SEC Correspondence with Issuers in Machine-Readable Format
In a joint letter to the SEC, CFA Institute and the Council of Institutional Investors (CII) ask the SEC to assist investors—as well as other stakeholders—by making SEC correspondence to, and from, public companies available in structured, machine-readable format.
Be Informed
Webinar
Utilizing Data Science and AI in the Investment Process
Join investment professionals to explore practical applications of data science and AI in investing. Learn essential skills, challenges, and future trends shaping AI-driven investment strategies.
Video
Conversations with Frank Fabozzi, CFA, featuring Manish Chakrabarti, Arpit Narain, CFA, and Anil Sood
In this episode, Frank Fabozzi, CFA, speaks with three technology leaders in the investment industry about developing and implementing artificial intelligence (AI) responsibly.
Enterprising Investor
How Machine Learning is Transforming Portfolio Optimization
Using machine learning (ML) algorithms in portfolio optimization is a growing trend to which investors should pay attention. Investors will benefit from a basic understanding of ML algorithms and the impact these algorithms have on their portfolios, writes Jordan Doyle. His article aims to provide an overview of the role ML algorithms play in the portfolio optimization process.
Driving Digital Transformation: CFA Institute Research and Policy Center Explores Machine Learning and AI Advancements in Investing
CFA Institute Research and Policy Center is addressing how big data, machine learning and advancements in natural language processing, understanding, and generation will accelerate the digital transformation of the investment industry.
The theme Understanding Technology, Big Data and AI tracks the evolving opportunity set for investment firms and professionals stemming from artificial intelligence (AI), big data, and new analytical tools and technologies.
Our research recognizes that the future of the investment industry is one where big data and AI, smart machines and systems, and data analytics will play a more central role in how the world of finance evolves.