Excess Returns
Excess Returns

Lessons From a Legendary Fund Manager with Joel Tillinghast

In this episode, we speak with Joel Tillinghast, who will retire as the manager of the Fidelity Low-Priced Stock Fund at the end of this year. Joel managed the fund for over 30 years and built an impressive track record, substantially outperforming the S&P 500 over his tenure. We talk to Joel ab

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Episode Summary

Executive Summary: Joel Tillinghast reflects on a decades-long investing career at Fidelity, emphasizing disciplined value investing, the importance of quality and intrinsic value, learning from mistakes, and staying open to contradictory information. He discusses Peter Lynch’s influence, the role of process over careerism, why active managers must be different from the index, and how to navigate bear markets, inflation, and changing market regimes.

Main Topics: Career origins and Peter Lynch connection: Tillinghast recounts how he cold-called Peter Lynch after leaving troubled firms, seeking an ethical and technically excellent environment. He credits initiative, luck, and choosing the right people as foundational to his career. What he learned from Peter Lynch: He distills Lynch’s lessons into three ideas: cast a wide net across many stocks, constantly seek new and contradictory information, and practice 'mental whiteout' by not anchoring on past price moves. Defining value investing and intrinsic value: Tillinghast frames value investing as buying something for less than it is worth, not simply buying low P/E stocks. He prioritizes future cash flows, quality, and businesses with durable returns on capital. Quality, flexibility, and extraordinary businesses: He explains that quality matters because it improves visibility into future cash flows and resilience across environments. He is willing to pay more for high-quality, extraordinary businesses with strong economics. Quantitative factors and data mining: Tillinghast discusses factor investing skeptically but pragmatically: factors can work if the underlying economic reason makes sense. He notes that some quantitative shops increasingly rely on data mining without a clear thesis. Macro, inflation, and bear market behavior: He argues against making large macro bets and instead favors owning businesses that can adapt. Inflation and bear markets require understanding real returns and knowing how one will react emotionally before crisis hits. Active management, index funds, and process discipline: He supports passive investing for many investors, but says active managers should be meaningfully different from the index and loyal to a repeatable process. Long-term success depends on sticking with a strategy through periods of underperformance.

Key Arguments: Choose people and firms you respect technically and ethically; career success starts with the environment you work in. Good investing requires considering multiple possibilities and constantly updating beliefs with new, especially contradictory, information. Value investing is about buying below intrinsic value, not just buying statistically cheap stocks. Quality improves the durability and visibility of future cash flows, so he prefers high-quality businesses when valuation allows. A company’s ability to adapt to inflation and changing conditions matters more than forecasting macro variables. Bear markets are survivable if an investor understands their own emotional response and maintains discipline. Passive index funds are sensible for many investors, but active managers must have a distinct, understandable edge. Managers should study their mistakes and know themselves before capital is entrusted to them.

Data Points: Years at Fidelity: Over three decades - Tillinghast has managed money at Fidelity for more than 30 years. Low Price Stock Fund inception: 1989 - He has managed the Fidelity Low Price Stock Fund since inception. Stocks studied by Peter Lynch: 10 stocks - Lynch’s framework: study 10 stocks, with 2 immediate buys, 2 immediate sells, and the rest indifferent. Bank of America loss: $640 million - Referenced as a major loss announcement during Tillinghast’s tenure there. Inflation example: 4% inflation - Used to illustrate how nominal returns translate into real returns. Example return on equity: 10% ROE becomes 6% real return - Illustrative calculation under 4% inflation. Valuation example for junky stocks: 9x earnings - He said that may be attractive for lower-quality names. Valuation example for quality stocks: 16x earnings or more - He suggested quality businesses can justify higher multiples. Homebuilder valuation example: 2x earnings - A stock he cited during the COVID period as evidence of extreme cheapness. Bear markets mentioned: 1987, early 1990s, late 1990s/early 2000s, 2008, COVID crash - He has invested through multiple major drawdowns. Factor shop data mining example: 60% to over 80% - He relayed that some quantitative firms had increasingly moved from thesis-based data mining to mostly data mining.

Pivotal Quotes: "value investing is buying something for less than it's worth, full stop." — Justin Carboneau citing Michael Mauboussin: Used to reinforce that value investing is not just about low P/E stocks. "choose people who you want to work with, who respect the craft of investing." — Joel Tillinghast: His core career advice based on his early job search and Fidelity experience. "keep learning from your mistakes, study them" — Joel Tillinghast: Advice for successor managers and long-term investors.

Implications: Listeners should focus on process, humility, and business quality rather than forecasts or labels like 'value' or 'growth.' For firms, the interview reinforces that durable outperformance comes from disciplined, distinct, intellectually honest investing.

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About Excess Returns

Excess Returns is dedicated to making you a better long-term investor and making complex investing topics understandable. Join Jack Forehand, Justin Carbonneau and Matt Zeigler as they sit down with some of the most interesting names in finance to discuss topics like macroeconomics, value investing, factor investing, and more.

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