the best investing podcast episodes
A hand-picked, playable selection of the best podcast episodes for this topic — each with the reason it earned its spot. Press play on any pick, or build your own playlist free.
Why these picks
8 episodes curated for "the best investing podcast episodes"
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The curated episodes
8 episodes — each chosen for a reason you can read below.
Why this pick: This episode directly addresses investing in airline stocks via a deep dive into Copa Holdings, including Buffett's views on the sector, why some airlines can be exceptions with strong moats, valuation analysis, and a decision on adding to a portfolio. It offers expert analysis from value investors on a notoriously tough industry, making it highly valuable for those seeking practical stock evaluation lessons. The 86-minute format allows thorough exploration with timestamps for key investing concepts like moats and intrinsic value.
Why this pick: A roundtable of experienced investors (Stig Brodersen, Tobias Carlisle, Hari Ramachandra) pitching and debating Meta, Booking Holdings, and Adobe, covering bull/bear cases, AI impacts, moats, and valuation models. This provides diverse perspectives on high-profile tech and travel stocks central to modern investing discussions. The structured format with explicit timestamps on risks like AI monetization and competition delivers actionable insights for portfolio decisions.
Why this pick: Deep analysis of American Tower (AMT) as a wide-moat REIT powering wireless networks, with recurring revenue mechanics, competitive advantages, debt considerations, and intrinsic value calculation. It balances the appeal of a 'wonderful business' against investment risks like carrier consolidation, taught by seasoned analysts. Perfect for investors interested in infrastructure plays and understanding why great businesses aren't always great stocks at certain prices.
Why this pick: Emily Haisley from BlackRock's Behavioral Finance team shares how to identify and counteract biases like myopic loss aversion and disposition effect that plague investors. William Green's interview dives into practical techniques used with elite fund managers, emotional regulation, and ego management for better decisions. Essential for building psychological resilience in investing, with real-world examples from high-stakes environments.
Why this pick: Breaks down the Shiller P/E (CAPE) ratio near 40, its implications for lower future returns, why it's not a market-timing tool, and how to adjust expectations without panic-selling. Hosts address psychology of investing in high-valuation environments and a framework for deploying capital based on time horizons. Highly relevant for long-term investors worried about stretched markets, offering balanced, practical advice over fear-mongering.
Why this pick: Applies engineering principles like 'margin' and 'stack-up' to personal finance, explaining why strict rules fail in real life, how to size emergency funds as load cases, and avoiding over-margining. Evan shares lessons from his career on budgeting ranges, redundancy, and recalibrating as life changes. Valuable for beginners seeking resilient, flexible systems rather than perfectionist checklists in building wealth.
Why this pick: Focuses on practical financial systems for neurodivergent individuals or those with brain injuries, covering reminders, structured processes, and resources to avoid overwhelm. Experts discuss ADHD-specific struggles with money tasks and strategies like automation. Adds diversity by addressing accessibility in investing and wealth-building, crucial for inclusive personal finance advice beyond standard willpower narratives.
Why this pick: Morgan Stanley's CIO explains broadening market leadership beyond AI, with improving earnings in median stocks, consumer discretionary, transports, and banks. Discusses why crowded AI trades may peak and how falling oil plus Fed policy supports under-owned sectors. Timely analysis for investors seeking to position ahead of shifts, with data on revenue growth and operating leverage for a classic early-cycle setup.