Marcos López de Prado and Vincent Zoonekynd, PhD, of Abu Dhabi Investment Authority discuss their Research Foundation brief, Causality and Factor Investing: A Primer. They explore why many factor models fail, the risks of confounder and collider bias, and why factor investing requires a causal—not purely statistical—approach. Learn how causal graphs and theory-driven methods can improve attribution and model design. A must-watch for quantitative researchers and finance professionals seeking deeper insights into risk premia and robust factor modeling.

Larry Siegel speaks with Dr. William J. Bernstein—author, neurologist, and investment thinker—about the pillars of prosperity: property rights, scientific rationalism, capital markets, and infrastructure. They examine cultural influences on economic growth, the Henrich hypothesis on trust, and the future of globalization. Bernstein shares his philosophy on passive investing, liability-matching portfolios, and why TIPS matter for retirees. He also previews a new book with Ed McQuarrie that challenges assumptions about long-term stock returns. A deep dive into history, markets, and strategies for financial security.

In this episode of the Financial Thought Exchange podcast, host Lotta Moberg, CFA, PhD, speaks with David Knox, PhD, former senior partner at Mercer and author of the Research Foundation brief De-risking Global Pension Systems. Knox explores the complexities of global pension structures, the shift from defined benefit to defined contribution plans, and the growing reliance on private pensions. He discusses demographic pressures, funding challenges, and the importance of governance, regulation, and communication in securing retirement outcomes. A timely conversation for professionals navigating the future of pension policy and retirement planning.

Sébastien Page, CFA, Head of Global Multi-Asset and CIO at T. Rowe Price, joins the FTE Podcast to explore the intersection of leadership psychology and investment strategy. Drawing from his books Beyond Diversification and The Psychology of Leadership, Page shares how storytelling enhances financial education, the importance of resilience in investing, and how personality traits like openness and agreeableness shape portfolio management. He also reflects on goal-induced blindness, the underrated skill of quitting, and the deeper meaning behind active management. A must-listen for finance professionals and aspiring leaders.

Ehren Stanhope, CFA of O'Shaughnessy Asset Management explains how custom indexing builds on direct indexing by integrating tax loss harvesting, ESG preferences, and quantitative equity factors. He discusses how platforms like Canvas enable personalized portfolio construction while maintaining benchmark alignment. Stanhope also shares insights on the implications of rising interest rates, inflation, and changing asset correlations for long-term investment strategy and risk management.

Marlena Lee, Global Head of Investment Solutions at Dimensional Fund Advisors, explains how her team bridges investment research with client needs through systematic, evidence-based approaches. Rather than chasing short-term market moves or stock-picking, Dimensional builds portfolios grounded in decades of academic research and practical data analysis. Lee highlights how the firm evaluates traditional factors—such as size, value, and profitability—while carefully testing new ideas to avoid data-mined results. She underscores the importance of looking beyond simple measures like correlations or Sharpe ratios, encouraging investors to dig deeper into underlying holdings, factor overlaps, and global perspectives. From the challenges of timing premiums to the distortions caused by mega-cap stocks, Lee emphasizes the value of strategic, long-term allocations over tactical shifts. Her remarks offer clarity on what true diversification means and how investors can navigate trade-offs between tracking error and long-term outperformance.

Welcome to the Financial Thought Exchange, where we bring you insights from the brightest minds in finance! In this episode, recorded live from the CFA Institute Annual Conference in Chicago, we are honored to sit down with Peter Lazaroff.

Peter is the author of "Making Money Simple" and the Chief Investment Officer at Plancorp Wealth Management, overseeing $7 billion in AUM. He is also the host of the fantastic "Long Term Investor" podcast.

In this deep dive, Peter shares his key takeaways from a panel on decoding investor behavior. We discuss how behavioral finance goes beyond just identifying biases, moving towards strategies that truly help clients feel more confident and content with their financial decisions.

We cover:

• The evolution of behavioral finance and its practical application in wealth management.

• How to tailor financial education across different generations, from Baby Boomers to Millennials.

• The distinct approaches to advice for inherited vs. self-made wealth, and why empathy is crucial.

• Peter's firm's philosophy of avoiding mistakes over chasing perfect returns, and the biggest "mistake" he focuses on mitigating: setting the wrong expectations.

• The role of risk aversion in portfolio design and how Plancorp customizes strategies based on a client's stock/bond split and liquidity profile.

• Why, despite advancements in behavioral finance, human errors will persist, and how technology might assist without replacing the essential human connection in financial advice.

Join us for a candid and insightful conversation that will change how you think about client relationships and investment strategy!

In this podcast episode, Mark Mills, a physicist, energy expert, and "tech guru," argues that the hype around AI is justified but misunderstood, emphasizing its roots in statistical inference (which is not what humans do when they think). He explains that AI's strength lies in handling fuzzy, human-like tasks, unlike traditional computing's whiz-bang ability to calculate. This making AI transformative for automation.

Mills addresses concerns about AI displacing jobs, noting that automation historically eliminates some roles but creates others, with 60% of 1960s job categories gone by 2020, yet employment and wages rose. He predicts AI, combined with advancements in materials and machines, will drive a massive productivity boom over the very long run, akin to previous industrial revolutions like the 1920s. He notes that the universe is made up of only three things—matter, energy, and information—and that all three are undergoing simultaneous revolutions, a historically rare event.