Koyfin Profile picture
Jun 9, 2023 12 tweets 4 min read Read on X
In the early 1980s, Joel Greenblatt authored a paper on buying stocks selling below liquidation value and ran some backtests with impressive results.

He named it 'How the Small Investor Can Beat the Market'.

Here are the key takeaways 🧵 Image
1/ Greenblatt did not believe in the efficient market hypothesis, a common belief at the time, and felt that this shared belief limited investors.

"Since this theory concludes that bargain purchases are impossible, academics argue attempts to outperform the market are futile". Image
2/ While the numbers may differ today, institutions still neglect certain stocks; because many of them are too small or illiquid.

For this reason, Greenblatt believed there will always be unrecognised value in the market. Image
3/ His paper sought to combine Benjamin Graham's approximation of liquidation value (below) with the PE ratio. This process was intended only to be a rough screening device to sort out likely prospects from the thousands available.

He excluded firms with TTM losses. Image
4/ He constructed four unique portfolios and compared their performance to that of the OTC and Value Line indexes across 18 four-month periods from 1972 to 1978.

Variables included price/liquidation value and PE. Image
5/ An initial $100 investment across the OTC and Value Line indexes would return $88 and $79, respectively.

After six years, portfolios 1 through 4 returned a range between $248 and $517. Image
6/ The portfolio with the lowest value with respect to PE and LV was found to be the highest-performing vehicle.

Portfolios with floating PEs beat the indices but underperformed those with fixed ratios. Image
7/ We can assume that the PE value was considerably higher for portfolios 1 and 2, because Triple-A yields ranged from 7% to 9% during the period. Image
8/ Portfolio 1 had, collectively, the highest values for LV (≤ 1.0) and PE (5.5 to 7) and performed the worst. The study suggests that searching for profitable stocks that have an LV ≤ 0.85 and PE ≤ 5 is the most attractive fishing spot for stock pickers.
9/ Limitations to the study included;

• Reconciling returns
• Dividends & fees
• Sample period
• Sample size
• Market cap threshold
• Portfolio size

E.g, the avg # of stocks in the sample portfolios was ~15. Concentrated by some people’s standards.
10/ Why did it work?

The criterion produced results based on the “large 2nd tier of stocks” that are forgotten and inefficiently valued by the market.

The study sought to exploit stocks that were undervalued and protected by large asset values and strong balance sheets. Image
11/ While Greenblatt's paper is unlikely to work as well today, the fact that a retail investor can exploit underexamined pockets of the market remains true, decades later.

Get screening! Image

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More from @KoyfinCharts

Sep 30, 2025
Apollo recently released a presentation on the extreme weight of AI in the S&P 500.

Here are 8 interesting highlights: Image
1) The weight of the Magnificent Seven* more than 30% of the S&P 500, about level with prior peaks in mid-2024 and early-2025.

Nvidia, the largest stock in the index, has a P/E of 51x.

*Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla. Image
Image
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2) The weight of Technology, Media, and Telecoms in the S&P 500 (almost 45%) is sitting at levels last seen in the 1999-2000 bubble. Image
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Sep 18, 2025
Bill Ackman's Pershing Square released an investor update that covered commentary on Pershing's holdings, which include $GOOGL Alphabet, $AMZN Amazon, $CMG Chipotle, $NKE Nike, $UBER Uber, and more.

Here are 8 interesting highlights: Image
1) $UBER Uber

"We continue to believe the market underappreciates the durability of Uber’s moat, the magnitude of its earnings growth, and the strategic role it will play in shaping the future of mobility. We anticipate Uber will generate 30% or greater annual EPS growth". Image
2) $NKE Nike

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Aug 21, 2025
We ran a screen for US and European companies that have been operationally unprofitable for the last five years but have become profitable over the last 12 months.

118 results.

Here are some of those results (full list at the end):

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Image
2/ $PTON Peloton Image
3/ $DASH DoorDash Image
Read 7 tweets
Jun 2, 2025
The Magnificent Seven Cash Flows vs Share Price

1) $NVDA Nvidia Image
2) $MSFT Microsoft Image
3) $META Meta Platforms Image
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May 26, 2025
Mauboussin & Callahan just shared a paper on drawdowns and recoveries.

"One of the hardest aspects of being a long-term investor is that
even the best investments, or investment portfolios, suffer large
drawdowns".

🧵 Our 8 favourite highlights: Image
1) Drawdowns are the norm, not the exception.

"The median stock’s recovery from its maximum drawdown is 90% of the prior peak price (par), which means it fails to return to its past high. About 54% of stocks never return to par after hitting bottom". Image
2) There is a close relationship between the magnitude of the maximum drawdown and how long it takes a stock
price to go from peak to trough.

"Drawdowns of 95-100% take 6.7 years, on average, while those of 0-50% take only 1 year". Image
Read 10 tweets
May 16, 2025
The CFA published a report earlier this year on one of the most valuable but poorly recognised corporate assets: intangibles.

The key issue? Accounting doesn’t reflect what drives value today.

🧵 8 interesting highlights: Image
1) Today's largest companies are built different.

"The ranks of the largest issuers today are dominated by technology, health care, & consumer products companies that are more driven by investments in intangible assets than by tangible assets". Image
2) Rather than investing in tangibles through CapEx, companies invest greater sums through income statement expenses like R&D.

"For many companies, R&D expense is at least as high as CapEx, and R&D and sales and marketing expenses together are multiples of CapEx". Image
Read 10 tweets

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