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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14 of the most interesting charts surfaced this week 🧵
1/ Consumers are relying more on credit to finance their expenses amidst inflation, reduced savings, and slower disposable income momentum.
"Consumer credit grew by $23 billion in April, the largest gain since Nov 2022".
2/ Retail investors have piled into US markets this year.
"Net purchases of US stocks by retail investors hit almost $1.5 billion on May 30 and 31, the highest daily figures in three months, data from VandaTrack shows".
@dailychartbook 3/ Most of those flows have been into technology stocks, and out of energy stocks.
"Flows into tech funds have outpaced all other sectors by a wide margin in recent weeks".
Michael Mauboussin and Dan Callahan just shared a great paper, updating their work on ROIC.
"Companies that delivered high and sustained ROICs exceeded their peers in both net operating profit after taxes (NOPAT) margin and invested capital turnover".
Some highlights 🧵
1/ Making money is too modest a goal, says Mauboussin.
If that investment could have made superior returns elsewhere, the foregone profit from that alternative is an opportunity cost. As such, the opportunity should be the hurdle rate for an investment.
2/ This "dollar bill" test makes sense in theory but is not perfect, because a company’s market value echoes both historic and future investments.
Due to differences in growth rates, spreads between ROIC and WACC can vary. But the market tends to reward these spreads.
This powerful new feature provides context on companies for performance, valuation & financials by comparing against sector & country ranks, and its own history.
How to use it, where to find it, and how to maximise its value 👇
1/ Percentile Rank is a value (0-100) for a library of metrics that lets you analyze how a company ranks based on fundamental metrics like valuation, margins, profitability, and performance, or in relation to its own history.
2/ It lives in the Snapshots section, but Percentile Rank can be used throughout Koyfin; in watchlists, screeners, and market scatters.
Located in the data categories, you can now choose between country, sector, global, and historical comparisons across any of these tools.
13 of the most interesting charts surfaced over the weekend 🧵
1/ Tech funds saw the biggest monthly inflow in May since February 2021. BofA analysts believe investors are chasing a "summer rip tide into tech and stocks" and have referred to AI as a "baby bubble".
2/ More broadly, US equity funds and ETFs saw strong weekly inflows in the last week of May.
3/ Meanwhile, VC funding for crypto projects has fallen off a cliff.
Forbes: "Though the data is only through mid-May, it’s not off to a good start. Crypto firms globally have raised just $500 million, 98% less than in all of 2022".
In May, two of the world's largest cruise operators $CCL and $RCL surged into the top 10 performers, after Royal Caribbean Cruises kicked off the month with a beat and raise.
$RCL CEO: "Demand for the coming 9 months is so much stronger than our already robust expectations".
Unsurprisingly, most of the strongest performers in 2023 are within 15% of their 52-Week highs.
The outlier, $TSLA, is ~32% below the 52-Week high of $310 per share set back in August 2022.
When looking for a potential investment, it is important to understand a company’s expected growth rate. This way you can take a view about the potential for upside surprise or downside disappointment.
Here’s how to look at growth rates on Koyfin...
1/6
2. To quickly check a company’s growth rate for EPS or Sales, navigate to the company’s overview snapshot.
3. To analyze growth data in more detail, go to the Estimates Overview snapshot and check out “Earnings Matrix In the Estimates Overview Snapshot