Patrick O’Shaughnessy - An Unexpected Drop-in from Patrick O’Shaughnessy | #2

Episode Summary

Executive Summary: Meb Faber and Patrick O'Shaughnessy discuss how to invest systematically, survive long periods of underperformance, and build portfolios around alpha rather than scale. The conversation covers factor investing, why tracking error matters, avoiding bad stocks, factor timing skepticism, shareholder yield and buybacks, career advice for young investors, and how technology and behavioral discipline are reshaping asset management.

Main Topics: Starting in Markets During Crisis (Priority: 5/5): Patrick reflects on beginning in asset management just before the 2007 peak and learning that discipline and behavior matter more than strategy design when markets turn brutal. Alpha vs. Assets and Factor Investing (Priority: 5/5): A core debate on whether factors should be used to create differentiated alpha or simply cheap tilted beta. Patrick argues for concentrated, high-tracking-error portfolios built for performance, not scale. Avoiding Bad Stocks and Using Short-Seller Logic (Priority: 4/5): The discussion shifts from finding winners to systematically excluding companies with short-like characteristics such as capex busts, consumer fads, accounting games, and growth-by-acquisition. Factor Timing, Multi-Factor Design, and Flow Distortions (Priority: 5/5): They debate whether investors can time factor exposures like dividend yield or low volatility, with Patrick favoring a static multi-factor framework over tactical rotation because flows can distort popular factors. Shareholder Yield and Buybacks (Priority: 5/5): The pair argue that buybacks are misunderstood and that high-conviction repurchases, net of issuance, often signal undervaluation and strong capital allocation, especially when combined with disciplined management. Career Advice and Investor Development (Priority: 4/5): Patrick recommends hands-on investing, reading 10Ks, talking to practitioners, and cultivating a unique angle; the CFA helps, but it is not a substitute for real-world immersion. Technology, Robo-Advisors, and the Future of Asset Management (Priority: 3/5): Both see asset management becoming a hybrid technology business, with automation essential for survival and robo-advice eventually becoming infrastructure rather than a standalone moat.

Key Arguments: Discipline is the X factor in investing; even a strong strategy fails if investors cannot endure drawdowns and underperformance. Factor strategies should be built for alpha, not scale; high tracking error is acceptable if it improves expected excess return. Avoiding bad stocks can be as valuable as finding good ones; short-seller heuristics help identify businesses to exclude. Individual factors can become overcrowded and expensive due to flows, so a multi-factor approach reduces valuation extremes and value traps. Factor timing is hard to justify net of turnover and fees; a static framework is more robust than tactical switching. High-conviction buybacks are often undertaken when shares are cheap, indicating that management can add value through capital allocation. Shareholder yield and buybacks should be judged as part of broader capital allocation, not automatically criticized as anti-growth. For aspiring investors, the edge comes from deep specialization, reading annual reports, and developing a point of view that differs from the consensus. Robo-advisory and automation will increasingly be table stakes; every manager will need technology to stay competitive.

Data Points: Assets under management: $5 billion+ - Meb references O'Shaughnessy Asset Management as a sizable firm despite its alpha-focused philosophy. Graduation timing: Summer 2007 - Patrick says he graduated right before the financial crisis and started in asset management months before the market peak. Minimum diversification guideline: 40 individual positions - Patrick cites classic research suggesting about 40 names diversifies away much of idiosyncratic risk. Typical concentrated minimum: 50-55 positions - Patrick says their strategies usually sit above the 40-name threshold, with the exact number depending on market cap universe. Value underperformance streak: 7 years - Meb notes the prolonged pain of value underperforming growth during the post-crisis bull market. Return distribution statistic: Roughly two-thirds of stocks underperform the index over time - A study cited by Meb shows broad stock-picking is structurally difficult. Return distribution statistic: ~20% of stocks generate all the gains - Meb discusses stock return dispersion and the concentration of long-term winners. Book reading challenge: 103 books in 2015 - Patrick is described as reading voraciously, with his book club covering far more than investing alone. Expected hedge fund return survey: 13% net - Meb cites a survey where institutions expected hedge funds to return 13% net, which he считает unrealistic. Hedge fund index reality: ~4% per year - Meb contrasts institutional expectations with actual returns of investable hedge fund indexes. High-conviction buyback threshold: 5%-10%+ of shares outstanding - Discussed as the kind of meaningful repurchase size that often signals undervaluation and conviction. Historic buyback timing: Roughly half of high-conviction buybacks since 1987 - These were conducted when the firm's stock was in the cheapest quintile of large stocks. Expensive buyback frequency: Fewer than 10% - Very few high-conviction buybacks occurred when shares were in the most expensive quintile. Teledyne share reduction: 90% reduction in shares outstanding - Henry Singleton's disciplined repurchases are used as a canonical example of capital allocation. Northrop Grumman return: 16.5% annualized - Used to illustrate how shrinking revenue can still produce excellent shareholder returns via buybacks. Northrop Grumman benchmark comparison: About half the S&P 500's return over the same period - Meb contrasts Northrop's performance with the broader market. Northrop Grumman revenue change: Down 20% over 10 years - Illustrates that strong stock returns can coexist with shrinking top-line revenue. Historical dividend discount: About 20% discount to the market - Meb notes dividend stocks historically traded cheaper than the overall market. Recent dividend premium: About 4x price-to-book in a major dividend ETF - Used to argue dividend stocks have become crowded and expensive.

Pivotal Quotes: "We believe that strategies should be built for alpha, not scale." — Patrick O'Shaughnessy: Explaining the philosophy behind concentrated factor portfolios and the tradeoff with assets under management. "Discipline is the X factor." — Patrick O'Shaughnessy: Reflecting on lessons learned after starting in asset management right before the 2007 market peak and then enduring the crisis. "The challenge is because you all often go broke." — Meb Faber quoting Joel Greenblatt: Discussing why market-neutral or highly levered long-short strategies can fail in severe drawdowns.

Implications: Listeners should expect lower, more realistic return targets, build around discipline and diversification, and treat factor investing as a long-horizon process. For the industry, scale and hype are less durable than automation, specialization, and robust capital allocation.