📖Benjamin Graham

Quantitative Screening

🌿 Intermediate★★★★★

Use quantitative criteria to screen for value stocks.

💬

We recommend selecting stocks using quantitative criteria: earnings-to-price yield, dividend record, balance sheet strength, and moderate price-to-earnings ratios.

— _The Intelligent Investor_,1949

🏠 Everyday Analogy

Valuation is like buying a house: the asking price reflects mood, but true value comes from structure, location, and long-term utility. Good assets still need sensible prices.

📖 Core Interpretation

In Quantitative Screening, Benjamin Graham 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:Systematic screening removes emotional bias from stock selection.

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❓ 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
Textile and Steel Net-Net Bargains (1974)
During the 1973–74 bear market, several small U.S. textile and steel companies traded below their net current asset value, reflecting deep pessimism about traditional manufacturing.
✨ Outcome:Graham-style investors buying a diversified basket saw strong gains as prices rebounded with the late‑1970s recovery.
2
Post‑Crisis Micro‑Cap Net-Nets (2009)
After the 2008 financial crisis, many micro‑cap industrial and consumer firms traded below NCAV due to forced selling and credit fears, despite remaining solvent.
✨ Outcome:Investors applying Graham’s NCAV discipline achieved large returns over 3–5 years as liquidity normalized and valuations mean‑reverted.

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