Exploring the Legendary US Investors: Their Virtues and Impact
Ever wondered who the greatest investors in the US are? Andrew Mitchell, the brain behind Ophir Asset Management, posed this question to ChatGPT, an artificial intelligence tool. The response was intriguing enough to catch the attention of Mark J. Higgins, CFA, CFP, fresh out of writing his book “Investing in U.S. Financial History.” While ChatGPT’s list had some hits, according to Higgins, it had some misses too. So, where did ChatGPT go wrong? Let’s delve into this discussion.

The Future of Investment Management in the ChatGPT Era
With advancing artificial intelligence like ChatGPT, the future of investment management is taking a new shape. Larry Cao, CFA, editor of the “Handbook of Artificial Intelligence and Big Data Applications in Investments,” highlights the importance of authenticity in the post-ChatGPT world. How can human advisers and analysts survive and thrive in this evolving landscape? Let’s explore this pivotal question.
ChatGPT and Generative AI: Impact on Investment Professionals
Generative AI, spearheaded by ChatGPT, is ushering in a new era in artificial intelligence. Michinori Kanokogi, CFA, and Yoshimasa Satoh, CFA, shed light on how this technological advancement will reshape the work of investment professionals. How will ChatGPT and other large-language models influence the way investment professionals operate? Let’s dive into this transformation.
Navigating the Changing Landscape with Howard Marks, CFA
Howard Marks, CFA, predicts a sea change in the investment environment, signaling the end of easy money. Mark Fortune captures Marks’ insights on the future trajectory of interest rates and its implications for investors. How will this shift impact investment strategies in the coming years? Let’s decipher the insights shared by this investment veteran.
Uncovering Investment Truths: Active Management Delusion
Active management has long been a contentious topic in the investment world. Mark J. Higgins, CFA, CFP, emphasizes the need to respect the wisdom of the crowd and address the persisting delusion around active management. Why do many investors still hold on to this belief? Let’s unravel the myths surrounding active management.
The Six Stages of Asset Bubbles: Lessons from the Crypto Crash
Asset bubbles have a predictable trajectory, as highlighted by Mark J. Higgins, CFA, CFP, using the crypto crash as a reference point. By understanding the stages of asset bubbles, investors can better protect themselves from future market downturns. What can we learn from the crypto crash experience? Let’s analyze the insights.
ChatGPT: Navigating AI in Investment Management
Dan Philps, PhD, CFA, and Tillman Weyde, PhD, explore the potential of ChatGPT as a technology partner for investment professionals. How can ChatGPT enhance quantitative and fundamental analysis processes? Can it be a reliable copilot in investment decision-making? Let’s investigate the role of ChatGPT in investment management.
Harnessing the Yield Curve for Predictive Insights
Joshua J. Myers, CFA, delves into the yield curve’s predictive power, dispelling common misconceptions around its causality. Understanding the nuances of the yield curve can provide valuable insights for investors navigating volatile market conditions. What can we learn from the historical data surrounding the yield curve? Let’s uncover the predictive potential.
Redefining Retirement Strategies with David Blanchett, PhD, CFA, CFP
David Blanchett, PhD, CFA, CFP, challenges traditional notions of retirement income planning by advocating for flexibility in spending. His research uncovers the potential of adapting spending habits during retirement, offering a nuanced approach to financial planning outcomes. How can households redefine their retirement goals to achieve financial stability? Let’s explore Blanchett’s innovative insights.
Navigating LLM Opportunities in Investment: Insights from Dan Philps, PhD, CFA, and Tillman Weyde, PhD
Dan Philps, PhD, CFA, and Tillman Weyde, PhD, dive deep into the opportunities and risks associated with large-language models in investment management. How can investment professionals leverage LLMs to enhance decision-making processes? What is the significance of ‘prompt engineering’ in the dark art of artificial intelligence? Let’s delve into the evolving landscape of LLM technologies in investment management.
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Opinions expressed are solely those of the author and do not constitute investment advice. Views expressed do not necessarily reflect the opinions of CFA Institute or the author’s employer.
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