📖Jeremy Grantham
Probabilistic Thinking
Think in probabilities, not certainties.
Think in probabilities, not certainties. Every investment has a range of possible outcomes. Weight your decisions by the expected value of each scenario.
🏠 Everyday Analogy
📖 Core Interpretation
In Probabilistic Thinking, Jeremy Grantham focuses on the gap between price and value. Returns come from paying less than what a business is worth, not from guessing short-term market moves.
💎 Key Insight：Expected value calculations guide rational decisions.
AI Deep Analysis
Get personalized insights and practical guidance through AI conversation
❓ Why It Matters
Ignoring valuation turns even good companies into poor investments. Overpaying compresses future returns and leaves little margin when assumptions are wrong.
🎯 How to Practice
Estimate intrinsic value with conservative assumptions, set clear buy ranges, and act only when price offers a meaningful discount with acceptable downside.
⚠️ Common Pitfalls
Confusing a low price with true cheapness
Using one metric without business context
Overly optimistic assumptions that erase margin of safety
📚 Case Studies
1
Dot-Com Bubble Warning (2000)
Grantham publicly warned in 1998–2000 that tech stocks were in a massive bubble, reducing GMO client exposure to overvalued growth and internet shares.
✨ Outcome：Clients underperformed during the final surge, but avoided most of the 2000–2002 crash and preserved substantial capital.
2
Housing and Credit Bubble Call (2007)
Grantham labeled 2005–2007 a global housing and credit bubble, slashing exposure to risky mortgage-linked and leveraged financial assets before the crisis hit.
✨ Outcome：Underperformance before mid-2007, then strong relative results during the 2008 crash as portfolios were less exposed to collapsing financials.
See how masters handle real scenarios?
30 real investment dilemmas answered by legendary investors
Explore Scenarios →