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 🧵
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".
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.
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.
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.
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.
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.
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.
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.
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!
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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:
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".
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".
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:
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".
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".
In 1991, Seth Klarman wrote a book, Margin of Safety, that is rumoured to have printed only a few thousand copies.
No longer in print, but packed with superb insights, Klarman once said he
“endeavoured to make the book timeless".
🧵 Our 9 favourite lessons:
1. The 80/20 rule:
"The first 80 percent of the available information is gathered in the first 20 percent of the time spent. The value of in-depth fundamental analysis is subject to diminishing marginal returns".
2. The down market test:
"A market downturn is the true test of an investment philosophy. Securities that have performed well in a strong market are usually those for which investors have had the highest expectations".
In several of Peter Lynch's old books, he shared a charting technique later dubbed the "Peter Lynch Chart".
"A quick way to tell if a stock is overpriced is to compare the price line to the earnings line".
A quick guide to producing these charts in Koyfin 👇
1) These charts are sometimes called 'Fair Value' chart lines, where you plot a range of constant valuation multiples to visualise where the company trades in relation to those bands.
Example: Apple trades at 27x earnings with a 10Y mean of 21.3x earnings.
2) To reproduce this, we use the multiplier transformation in Koyfin, allowing you to multiply or divide the underlying data of a multiple.
Open up the historical graph, add a ticker and decide which multiple you wish to plot (here, we use price/sales).