How to Bottom Fish and Find Turnarounds

Key Concepts

• Make Money Investor vs. Value Investor: Evolution from focusing solely on cheap stocks to identifying great businesses at reasonable prices.
• Letting Winners Run: The crucial strategy of holding onto successful investments for long-term growth, rather than selling too early.
• Circle of Competence: Investing only in businesses that one understands well.
• AI's Impact: The potential for Artificial Intelligence to either enhance or disrupt existing businesses.
• Valuation: The importance of understanding how much to pay for a stock, even for high-quality companies.
• Compounding: The exponential growth of investments over time.
• Speculation vs. Investment: Differentiating between investing in businesses with intrinsic value and speculating on assets with no underlying cash flow.
• Index Funds: A passive investment strategy that often outperforms active management.
• Trailing Stop-Loss: A risk management tool to protect significant gains.
• "Melting Ice Cube" Businesses: Companies in terminal decline.
• "Fallen Growth Angels": High-quality growth companies whose stocks have significantly declined.

Summary

This episode of the Stansbury Investor Hour features a discussion with Whitney Tilson, lead editor of Stansbury's Investment Advisory, focusing on his investment philosophy and current market observations. The conversation delves into his evolution as an investor, the importance of holding winning stocks, and the impact of AI on the market.

Evolution of Investment Philosophy: From Value to "Make Money" Investing

Whitney Tilson explains his shift from a traditional value investor, who focused on buying the cheapest stocks and then finding better businesses among them, to a "make money investor." He now advocates for identifying the world's greatest businesses that one understands well and then buying them when the market makes mistakes and their stocks are sold off. This approach prioritizes owning quality businesses over simply cheap ones. He cites Berkshire Hathaway's annual meetings and the teachings of Graham, Dodd, Buffett, and Munger as foundational influences, but emphasizes that the market often creates a tension between buying good businesses and buying them cheaply.

The Critical Importance of Letting Winners Run

A significant portion of the discussion revolves around the mistake of not letting winning investments grow. Tilson shares personal anecdotes, including selling half of his Home Depot and McDonald's holdings after they doubled, and regretting not holding them for much longer. He also recounts selling Netflix after it had already increased eightfold, only to see it grow another 150 times. He argues that in today's efficient market, the only way to consistently beat index funds is to hold onto big winners, as a few stocks typically drive the majority of portfolio returns. He references the "coffee can story" of Robert Kirby and the historical data showing that a small percentage of stocks account for almost all market returns over long periods. He notes that index funds inherently hold these winners, while active managers often lack the patience to do so.

Navigating AI and Market Disruptions

The conversation addresses the profound impact of Artificial Intelligence (AI) on the investment landscape. Tilson acknowledges the difficulty in discerning whether AI will help or hinder specific companies. He uses Alphabet (Google) as an example of a company that has successfully integrated AI into its core search product, enhancing its offering rather than being disrupted. Conversely, he notes that concerns about AI potentially replacing customer relationship management (CRM) software are contributing to the sell-off in stocks like Salesforce and Adobe. He suggests that while these concerns are valid, the market may be overreacting to the headwinds, especially for high-quality, recurring revenue businesses.

Case Studies and Real-World Applications

• Meta Platforms (Facebook): A prime example of a "fallen growth angel" where Tilson identified it as one of the two greatest businesses on earth during its 2022 downturn (down 80%) and saw it rebound significantly.
• Salesforce: Currently trading at 19 times next year's earnings for a high-quality SaaS business, it's being evaluated for potential AI-related headwinds.
• Nvidia: Recommended five years ago for its role in autonomous driving, it has since become a major AI play. Tilson advises holding Nvidia if one owns it, but suggests trimming if it becomes an outsized portion of the portfolio (e.g., 75%) or using a trailing stop-loss.
• Netflix: A classic example of not letting a winner run, where Tilson sold incrementally after significant gains, missing out on substantial further upside.
• Accenture: Mentioned as a company that has shown strong cash flow, prompting a look into its performance in light of AI.
• Office Depot: A "melting ice cube" business that Tilson analyzed as a potential takeover target, which subsequently proved correct with a 35% stock increase.
• Lululemon: A company whose stock has been hammered, but Tilson is exploring its potential as a turnaround play due to its strong brand and products, despite competitive pressures and tariffs.
• Five Below: Another retailer that experienced a significant sell-off due to short-term concerns (tariffs) but has since recovered strongly.
• Alphabet (Google): Praised for integrating AI into its search engine, demonstrating how AI can enhance a business.
• Adobe: Similar to Salesforce, concerns about AI's impact have affected its stock, but Tilson sees potential in its strong fundamentals.
• Cannabis Stocks (MSOS ETF): A case where a societal trend was correctly identified, but the investment thesis for public companies ultimately failed due to regulatory issues, black markets, and high taxes.
• The Internet Bubble: A historical parallel to AI, where the underlying technology was revolutionary, but many direct investments failed.
• QMM (Stock Fraud): An example of a completely manipulated stock with no underlying business, highlighting the dangers of speculative bubbles and scams.
• Joby Aviation (J O Y): A speculative play on electric vertical takeoff and landing (eVTOL) aircraft, considered a potential "moonshot" similar to Tesla in its early days.
• Tesla: Mentioned as a company whose product appeal made it difficult to short, even with potential fraud.
• Green Mountain Coffee (Keurig): Another example of a company with a popular product that masked underlying inventory fraud.

Methodologies and Frameworks

• "Fishing Among Cheap Stocks" vs. "Fishing Among Better Businesses": Tilson's reframing of his investment approach.
• Identifying Great Businesses: Focus on understanding the business, its competitive advantages, and its long-term prospects.
• Buying on Market Mistakes: Capitalizing on irrational sell-offs in quality companies.
• Trailing Stop-Loss: A tool for protecting large gains, with adjustable percentages based on stock volatility.
• Analyzing "Melting Ice Cubes": Identifying companies that, while declining, still generate cash flow and may be acquisition targets.
• Evaluating "Fallen Growth Angels": Assessing whether headwinds are temporary or permanent for companies with strong historical performance.
• Diversification: Tilson's adjusted approach to index investing, moving from 100% S&P 500 to a 40% S&P 500, 40% market-cap neutral S&P 500, and 20% international index fund allocation.

Key Arguments and Perspectives

• The "Make Money Investor" Philosophy: Prioritizing identifying and owning excellent businesses, then waiting for opportune moments to buy or add to positions.
• The Emotional Difficulty of Holding Winners: Investors often sell winners too early due to fear or a desire to lock in profits, missing out on exponential growth.
• AI as a Disruptor and Enhancer: AI presents both opportunities and threats, and its impact will vary significantly across industries and companies.
• The Dangers of Speculation and Get-Rich-Quick Schemes: Tilson strongly warns against chasing speculative assets and falling for scams, emphasizing that these are the fastest ways to lose money.
• The Power of Compounding: The exponential growth of investments over long periods is a fundamental driver of wealth creation.
• Index Funds as a Default Strategy: For most investors, a simple index fund approach is a reliable way to achieve long-term financial success.

Notable Quotes and Significant Statements

• "The valuations have always been too high." (Whitney Tilson, on Salesforce historically)
• "I would say for most of my investing career, um, you in any investing any everybody basically who's who's actually investing as opposed to, I don't know, spec trading or using quant models or whatever, but anyone who's actually looking at companies, you know, the world tends to fall into growth investors and value investors." (Whitney Tilson)
• "Find the hundred greatest businesses in the world that you understand very well... and then try and own 10 of them, maybe 15 at any given time, and try and buy them or add to them uh when their stocks get sold off when the market makes a mistake." (Whitney Tilson)
• "The second biggest mistake I made is I didn't let my winners run." (Whitney Tilson)
• "You never should have sold them, right? And that was the mistake I made. You know, the stock doubled, I sold half, doubled again, and I was out. And I felt like a genius. And instead, I was an idiot. I left, you know, I made I made double my money or three times my money and I left a 10 bagger on the table." (Whitney Tilson, on Home Depot/McDonald's)
• "If you can be smart 364 days a year, but if you're dumb on one day, okay, you didn't get a good night's sleep." (Whitney Tilson, on emotional investing)
• "Netflix is this decade's Amazon." (Whitney Tilson, 2012 quote about Netflix)
• "The greatest many of the greatest businesses will figure out how to incorporate this [AI]. They'll become more efficient or or they'll offer new products, whatever it is that they will do." (Dan Ferris)
• "The surest way to get poor quickly is to try to get rich quickly." (Whitney Tilson)
• "Bitcoin is purely an instrument of speculation and I have no regrets about missing it." (Whitney Tilson)

Technical Terms and Concepts

• Valuation: The process of determining the current worth of an asset or company.
• SaaS (Software as a Service): A software distribution model where a third-party provider hosts applications and makes them available to customers over the Internet.
• Recurring Revenue: Revenue that a company expects to receive consistently over time.
• CRM (Customer Relationship Management): Software that helps businesses manage customer interactions and data.
• "Melting Ice Cube": A business that is in terminal decline and is expected to eventually disappear.
• "Fallen Growth Angel": A growth stock that has experienced a significant price decline.
• "Moonshot": A highly speculative investment with the potential for extremely high returns.
• eVTOL (electric vertical takeoff and landing): Aircraft that can take off and land vertically, powered by electricity.
• FAA (Federal Aviation Administration): The U.S. agency responsible for regulating civil aviation.
• Market Cap Weighted Index: An index where the weight of each constituent stock is determined by its market capitalization.
• Market Cap Neutral Index: An index that aims to provide equal weighting to all constituent stocks, regardless of their market capitalization.
• Intrinsic Value: The perceived value of an asset based on its underlying fundamentals, such as cash flow and earnings.
• Compounding: The process of earning returns on both the initial investment and the accumulated returns from previous periods.

Logical Connections Between Sections

The discussion flows logically from Tilson's overarching investment philosophy to specific market applications and cautionary tales. His evolution as an investor sets the stage for the importance of "letting winners run." The introduction of AI then provides a contemporary context for applying these principles, leading to discussions of specific companies and the challenges of valuation in a rapidly changing technological landscape. The cautionary tales about stock fraud and speculative bubbles serve as stark reminders of the dangers of deviating from sound investment principles, reinforcing the core message about avoiding get-rich-quick schemes. Finally, the conversation circles back to the power of compounding and the reliability of index investing, offering a balanced perspective on both active and passive strategies.

Data, Research Findings, and Statistics

• Meta Platforms stock went from $90 to $700.
• Salesforce stock is down 33% this year.
• Nvidia stock is up approximately 20x since Tilson's recommendation five years ago.
• Netflix stock was up 8x when Tilson sold half, and has since increased about 150 times.
• The top 10 stocks in the S&P 500 account for 40% of its value, an all-time high.
• Nvidia has a market cap of over $4 trillion, while Nphase Energy has a $4 billion market cap (a 1000:1 difference).
• The NASDAQ went down by 80% between March 2000 and October 2002.
• Four big tech companies' spending on AI chips has gone from $25 billion to $100 billion in the last few years.
• Salesforce is trading at 19 times next year's earnings.
• Adobe's stock is "just about flat" after being recommended six months ago.
• Lululemon stock is down more than 60-70%.
• Five Below stock went from $200 to $50 and has since doubled or tripled.
• Office Depot stock was up 35% after an acquisition announcement.
• Joby Aviation stock went from $5 to $20 and is now around $14.
• Whitney Tilson's sister, with a $2 million nest egg, has consistently invested in the S&P 500 for 30 years without ever picking a stock.
• Warren Buffett has made 99% of his net worth since turning 60.
• A penny doubled daily for 30 days becomes over a million dollars.
• The chessboard rice story illustrates exponential growth.

Conclusion and Main Takeaways

The core takeaway from this discussion is the paramount importance of patience, discipline, and a focus on long-term value creation in investing. Whitney Tilson advocates for a "make money investor" approach, emphasizing the identification of exceptional businesses and the crucial strategy of "letting winners run." While acknowledging the disruptive potential of AI, he cautions against succumbing to speculative bubbles and get-rich-quick schemes, which are the surest paths to financial ruin. For most investors, a disciplined approach to index investing, coupled with the power of compounding, remains a highly effective strategy for building wealth over time. The conversation highlights that understanding business fundamentals, managing emotional biases, and maintaining a long-term perspective are key to navigating the complexities of the market.