TIP 025 : Deep Value Investing - w/ Tobias Carlisle (Investing Podcast)

Episode Summary

Executive Summary: Preston and Stig interview Toby Carlisle about deep value investing, arguing that cheap, cyclically depressed companies often outperform because of mean reversion in both price and business fundamentals. Carlisle explains his acquirer’s multiple framework, contrasts it with Buffett-style quality investing, and shows how quantitative screens can beat intuition when selecting undervalued stocks.

Main Topics: Deep value and mean reversion (Priority: 5/5): Carlisle explains that deep value targets companies at the bottom of their business cycle, where mean reversion in earnings and valuation can produce outsized returns as prices and fundamentals recover. Acquirer’s multiple as the core valuation metric (Priority: 5/5): The acquirer’s multiple uses enterprise value divided by operating earnings to approximate what an actual buyer pays for the business and how much operating income they receive in return. Quantitative vs. qualitative value investing (Priority: 4/5): The conversation contrasts Buffett-style qualitative moat analysis with quantitative screening, with Carlisle arguing that statistical models often outperform discretionary stock picking. Role of quality, momentum, and screening discipline (Priority: 4/5): Carlisle discusses why quality can help in Buffett-style investing but may reduce returns in deep value screens, and notes that momentum can complement value even though his firm does not use it. Holding periods, turnover, and taxes (Priority: 3/5): The hosts explore how long deep value positions take to revert, how quickly returns accumulate, and how capital gains taxes affect the optimal holding period. Look-through earnings and hidden value (Priority: 3/5): Preston raises Berkshire Hathaway’s look-through earnings concept, prompting discussion of sum-of-the-parts value and hidden assets in holdings and subsidiaries.

Key Arguments: Deep value works because both stock prices and business fundamentals tend to mean-revert over time, especially in cyclical industries. A simple formula can outperform intuition: buying companies with depressed earnings or cheap enterprise multiples often yields superior long-run returns. The acquirer’s multiple is cleaner than P/E because enterprise value reflects the full takeover price, while operating earnings better captures the earnings available to an acquirer. Quantitative models should generally be followed without discretionary overrides because expert judgment often underperforms algorithms. Quality metrics can help in stable, Buffett-like businesses, but for deep value the cheapest ugly businesses often produce the best returns. Momentum has empirical support and may add value when combined with value, although Carlisle says he does not use it in his own firm. Holding periods are usually long enough for discount compression and mean reversion to do most of the work, but exits are often triggered by catalysts or better opportunities. Some hidden value can sit outside reported earnings, as with non-controlling stakes or subsidiaries, making sum-of-the-parts analysis important.

Data Points: Best vs. worst performers study window: 3 years before purchase, 3 years after purchase - Cited from DeBondt and Thaler research on mean reversion in earnings trends Outperformance of worst earnings decliners: Worst performers outperformed the best performers by a large margin - Described as the core result of buying the weakest three-year earnings performers Quantitative Value holding/selection horizon: Tested across 1 to 8 years - Carlisle says expanding the averaging period beyond several years did not improve results Annualized return of acquirer’s multiple strategy: About 15% to 16% per year - Reported for a large-cap universe over roughly 32 years P/E strategy annualized return: About 11% to 12% per year - Compared against acquirer’s multiple in the same long-run test Market cap cutoff in testing: Companies above $1.4 billion market cap - Large-cap universe used in quantitative testing as of Dec. 31, 2011 Portfolio size in Greenblatt-style example: 30 stocks - Joel Greenblatt’s magic formula approach referenced as an independent, tested framework Cash flow/quality target for Buffett-style names: 10% free cash flow yield plus about 5% growth - Preston and Carlisle describe a more stable, quality-oriented value profile Deep value target yield: 20%+; sometimes 25% to 33% implied yield - Carlisle describes buying at roughly 3x to 4x enterprise earnings Holding period for tax efficiency: 1 year and 1 day - Mentioned as the point at which long-term capital gains treatment becomes available in the U.S.

Pivotal Quotes: "The sicker you feel when you look at the portfolio, the better the portfolio is going to go." — Toby Carlisle: Describing the deep value approach of buying ugly, cyclical, out-of-favor businesses "The discount from intrinsic value really is the driver of returns." — Toby Carlisle: Explaining why cheaper entry prices generate higher expected returns over time "When an management with a reputation for brilliance tackles a business with a reputation for bad economics, it's the reputation of the business that remains intact." — Warren Buffett (quoted by host): Used to frame the debate over management quality versus business quality

Implications: For investors, the episode argues that disciplined, formula-based screens can uncover better returns than intuition, especially in cyclically depressed businesses. It also suggests that understanding enterprise value, hidden assets, and mean reversion is essential for evaluating true cheapness.