This interview features investor Michael Mauboussin. He says the biggest drag on returns isn't picking active vs. index funds, but your own behavior—chasing highs and panic selling costs you 1.2% a year, twice the fee gap between active and passive. He likes consumer staples (like Procter & Gamble, Unilever) because their competitive advantages last long. He warns on Amazon: analysts predict 15% annual growth for a decade, but no big company in history has done that. He also notes passive investing inflates stock prices, makes good and bad stocks move together, and could cause liquidity problems in a crisis.
Michael Mauboussin (Head of Global Financial Strategy at Credit Suisse) discusses corporate moats, industry analysis, and human-machine integrated investment strategies in this conversation. Key insights include: moat analysis should focus on the sustainability of competitive advantages rather than
Michael Mauboussin (Head of Global Financial Strategy at Credit Suisse) returns to the program to discuss the active-passive investment debate, corporate moat analysis frameworks, and human-machine integrated investment strategies. Core judgment: The behavioral gap erodes investor returns by 120 basis points annually, twice the fee gap (60 basis points) between active and passive funds—improving investor behavior matters more than choosing between active or passive products.
Mauboussin argues that most discussions of the active-passive debate are superficial and marked by religious fervor. He cites the classic paper by Grossman and Stiglitz (1980): Markets cannot be perfectly efficient because collecting information and reflecting it in prices incurs costs, which must be compensated — meaning markets must exhibit some degree of inefficiency. Lasse-Petterson summarizes this as "markets must be efficiently inefficient" — enough inefficiency to incentivize continued participation, but not so much that money is left lying around.
Mauboussin introduces a new framework for measuring the value of active management: Treat the fund as a business and calculate its "economic profit" — (gross return minus benchmark return) × assets under management (AUM). This figure represents the value the fund extracts from the market.
> "When Peter Lynch managed the Magellan Fund in the mid-1970s, his alpha was extremely high but AUM was small — like winning money at a 'nickel-and-dime' table. Later, as AUM grew substantially, alpha became more modest, but the total dollar amount extracted was larger — he moved to the 'big boys' table."
Key data point: Over the past 10-15 years, the decline in available alpha has outpaced the decline in fees. The industry is in a natural rebalancing phase — fees must fall to reach a new equilibrium.
| Factor | Specific Manifestation |
|---|---|
| Regulation | A series of regulatory changes from the 1930s onward, first pushing individual money into mutual funds, then pushing mutual funds toward index funds |
| Technology | In 1986, analysts were still manually calculating spreadsheets; today, information access and computing power have undergone revolutionary change |
| Market Environment | During the weak stock market of the 1970s, money market funds grew from zero to $75 billion — weak markets drive investors to seek low-cost alternatives |
| Balance of Informed/Uninformed Traders | As uninformed traders shift to passive investing, active managers are left competing only among themselves, making their job harder rather than easier |
Mauboussin points out that the rise of indexing and ETFs has led to three important changes:
1. Valuations are pushed higher: The valuations of certain stocks/asset classes are higher than they would be in the absence of this trend. Research by Gompers & Metrick shows that capital inflows into large mutual fund families in the 1980s and 1990s gave these funds an incentive to buy large-cap stocks, driving large caps from being extremely cheap in the early 1980s to extremely expensive at the 2000 peak.
2. Intra-industry correlation rises: When investors buy an entire industry through ETFs, good companies and bad companies rise and fall together, compressing the "dispersion" that active managers need.
3. Liquidity structure has fundamentally changed:
> "If some geopolitical event or economic dislocation occurs, people will panic-sell index funds and ETFs. Traditional liquidity providers have been weakened, and we don't really know how HFT will perform under stressed environments."
Mauboussin cites research by Ilya Dichev of Emory University: Across 19 countries globally, the average behavioral gap for investors (the difference between time-weighted returns and dollar-weighted returns) is 120 basis points per year. This implies:
Mauboussin references a 2015 paper by Richard Sloan, "Wealth Transfers from Equity Transactions": This is not a closed system — companies interact with investors through activities such as buybacks, issuances, dividends, and mergers and acquisitions, generating wealth transfers. For example, when an undervalued company repurchases its shares, investors who sell their stock transfer wealth to those who continue to hold.
Mauboussin notes that the number of U.S. listed companies is now lower than in 1976, despite GDP being three times larger and the population growing by 30-40%. Half of this decline is due to fewer IPOs, and half is due to delistings (mergers and PE buyouts).
| Period | Average Annual Number of IPOs |
|---|---|
| 1976-2000 | Approximately 280 |
| Post-2000 | Approximately 115 |
Key Data Comparison:
Currently, there are about 150 unicorns with a total valuation of roughly $500-600 billion, equivalent to "another Amazon or a company larger than Google sitting on the sidelines, inaccessible to the public."
Mauboussin argues this is the result of a cost-benefit analysis:
> "The ratio of CFA charterholders to the number of listed companies has surged to an all-time high — a large number of smart people analyzing an ever-shrinking pool of assets."
Mauboussin cites Kahneman's framework: The internal perspective involves gathering information, building models, and forecasting the future; the external perspective asks, "What happened in similar situations for others?" – i.e., the base rate. Combining the two leads to better predictions.
Internal perspective: A brokerage analyst predicted Amazon would achieve 15% annual revenue growth through 2025. Reasons: the size of the U.S. retail market, e-commerce penetration, and AWS's dominant position – "very compelling."
External perspective: Mauboussin's team used the Holt database to analyze 313 companies globally with revenues exceeding $100 billion since 1950 – zero companies achieved 15% or higher growth over a 10-year period. The average growth rate ranged from -5% to +5%, roughly in line with GDP.
> "What probability would you assign to Amazon achieving 15% growth? Not zero, but certainly not 50%."
Mauboussin introduces a simple formula: Predicted value = Population mean + Shrinkage factor × (Current value – Population mean)
The shrinkage factor ranges between 0 and 1:
Key data – Shrinkage factors for different metrics:
| Metric | Shrinkage Factor | Implication |
|---|---|---|
| Return on capital for consumer goods companies | 0.9 | Highly persistent; 90% of current performance carries forward |
| S&P 500 annual return | 0 | Zero correlation between years; best prediction is the long-term mean (6-7% real return) |
| 3-5 year rolling return | Slightly above 0 | Some signal, but weak |
Different industries revert at different speeds: The consumer goods industry has slow mean reversion (deep moats), while energy and technology sectors revert quickly (intense competition).
Mauboussin makes it clear: a competitive advantage exists if and only if two conditions are simultaneously met – (1) returns exceed the cost of capital; (2) returns exceed those of peers.
A moat represents "sustainable value creation" – i.e., how long you can maintain returns above the cost of capital.
Tier 1: Understanding the Lay of the Land
1. Industry Map: A visual representation of competitor scale and interactions – "any factor that affects a company's profitability should be included on the map."
2. Profit Pool Analysis: x-axis = invested capital, y-axis = ROIC-WACC spread, rectangle area = economic profit. Observe changes in the profit pool over time.
3. Pricing Test: Can the industry raise prices above the inflation rate?
4. Market Share Test (from Bruce Greenwald): Calculate the industry's average absolute change in market share – small changes indicate a stable industry, large changes signal intense competition.
Tier 2: Industry Analysis
Tier 3: Company-Specific Advantages
> "If you ask most executives 'What is your strategy?', they will talk about reducing SKUs or marketing plans – that is operational efficiency, not strategy. Strategy must involve trade-offs."
Case Study: A bank chooses to extend operating hours (including Saturdays) to provide customer convenience, but at the cost of offering lower CD rates – this is a clear trade-off.
Mauboussin identifies three directions:
1. Liquidity Provision Opportunities: When markets break down, be prepared to act as a liquidity provider—pre-set the price at which you are willing to participate.
2. Alternative Investments: Less efficient games where certain asset managers possess unique expertise.
3. Global Perspective: Markets outside the U.S. are less efficient and offer more mispricing opportunities.
> "I tell my students: If you are passionate about asset management, I do not discourage you from giving up on the U.S. market. But you should look at the rest of the world—opportunities in Asia, Africa, and parts of Europe may be greater than those in the U.S."
Mauboussin cites the industry structure classification from a paper:
> "As a CEO, saying 'I will manage a shrinking business' is not inspiring. But from a capital allocation perspective, returning capital to the capital markets for more efficient reallocation may be better than forcing reinvestment."
| Position | Guest Stance | Key Data |
|---|---|---|
| Amazon | Bullish (Hold) | 2015 revenue $107B, 2016 $136B; analysts forecast 15% annual growth through 2025, but historical base rate shows zero companies achieved this pace |
| Neutral (Case Study) | IPO market cap $110B, now ~$450B — approximately $100B in value was captured by private markets before listing | |
| Apple | Neutral (Case Study) | As a smartphone market case: small market share but captures a disproportionate share of economic profits |
| Nokia | Risk Warning | Held over 50% of the smartphone market in 2007, fell to 30%+ in 2009, now near zero |
| Procter & Gamble / Unilever / Kellogg's | Bullish (Industry Characteristics) | Consumer goods companies' return on capital contraction factor is 0.9 — highly persistent |
| Airlines (Industry) | Neutral | Historically ROIC below WACC, but have generated positive economic profits in recent years — need to determine whether structural change or cyclical |
| Berkshire Hathaway | Neutral (Mentioned) | Buffett recommends buying the S&P 500 instead of Berkshire |
| IBM | Risk Warning | Buffett admitted investment mistake; core business will not grow, should "melt like an ice cube" and return cash |
1. "The behavior gap (120 bps) is twice the active vs. passive fee gap (60 bps) — improving behavior matters more than choosing products." (Mauboussin)
2. "Markets must be 'efficiently inefficient' — inefficient enough to incentivize participation, but not so much that money is lying on the ground." (Mauboussin, citing Lasse-Petterson)
3. "The number of U.S. listed companies is lower than in 1976 — GDP is three times larger, the population has grown 30-40%, yet there are fewer listed companies. Roughly $500 billion in unicorn value is 'sitting on the sidelines,' inaccessible to the public." (Mauboussin)
4. "Analysts forecast 15% annual growth for Amazon through 2025 — but among the 313 companies globally since 1950 with revenue exceeding $100 billion, zero have achieved this growth rate." (Mauboussin)
5. "The shrinkage factor for consumer goods companies' return on capital is 0.9 (highly persistent), while for S&P 500 annual returns it is 0 (zero information) — understanding the different regression speeds of various metrics is more important than knowing 'mean reversion exists.'" (Mauboussin)
6. "The essence of strategy is trade-offs — if you can't answer 'what trade-offs has this company made to sustain its competitive advantage,' you don't truly understand its strategy." (Mauboussin)
7. "Passive investing has created three major distortions: valuations are pushed higher, sector correlations rise, and the liquidity structure fundamentally changes — HFT performs excellently in normal environments but may 'disappear' under stress." (Mauboussin)
8. "The ratio of CFA charterholders to the number of listed companies has surged to an all-time high — a large number of smart people analyzing fewer and fewer things. However, from a global perspective, markets outside the U.S. still offer more mispricing opportunities." (Mauboussin)