Continuing the quantitative value investment theme I’ve been trying to develop over the last week or so, I present my definition of a simple quantitative value strategy: net nets. James Montier, author of the essay Painting By Numbers: An Ode To Quant, which I use as the justification for simple quantitative investing, authored an article in September 2008 specifically dealing with net nets as a global investment strategy: Graham’s net-nets: outdated or outstanding? (Edit: It seems this link no longer works as SG obliterates any article ever written by Montier). Quelle surprise, Montier found that buying net-nets is a viable and profitable strategy:
Testing such a deep value approach reveals that it would have been a highly profitable strategy. Over the period 1985-2007, buying a global basket of net-nets would have generated a return of over 35% p.a. versus an equally weighted universe return of 17% p.a.
An annual return of 35% over 23 years would put you in elite company indeed, so Montier’s methodology is worthy of closer inspection. Unfortunately he doesn’t discuss his methodology in any detail, other than to say as follows:
I decided to test the performance of buying net-nets on a global basis. I used a sample of developed markets over the period 1985 onwards, all returns were in dollar terms.
It may have been a strategy similar to the annual rebalancing methodology discussed in Oppenheimer’s Ben Graham’s Net Current Asset Values: A Performance Update. That paper demonstrates a purely mechanical annual rebalancing of stocks meeting Graham’s net current asset value criterion generated a mean return between 1970 and 1983 of “29.4% per year versus 11.5% per year for the NYSE-AMEX Index.” It doesn’t really matter exactly how Montier generated his return. Whether he bought each net net as it became a net net or simply purchased a basket on a regular basis (monthly, quarterly, annually, whatever), it’s sufficient to know that he was testing the holding of a basket of net nets throughout the period 1985 to 2007.
Montier’s findings are as follows:
- The net-nets portfolio contains a median universe of 65 stocks per year.
- There is a small cap bias to the portfolio. The median market cap of a net-net is US$21m.
- At the time of writing (September 2008), Montier found around 175 net-nets globally. Over half were in Japan.
- If we define total business failure as stocks that drop more than 90% in a year, then the net-nets portfolio sees about 5% of its constituents witnessing such an event. In the broad market only around 2% of stocks suffer such an outcome.
- The overall portfolio suffered only three down years in our sample, compared to six for the overall market.
Several of Montier’s findings are particularly interesting to me. At an individual company level, a net net is more likely to suffer a permanent loss of capital than the average stock:
If we define a permanent loss of capital as a decline of 90% or more in a single year, then we see 5% of the net-nets selections suffering such a fate, compared with 2% in the broader market.
Here’s the chart:
This is interesting given that NCAV is often used as a proxy for liquidation value.
Very few companies turn out to have an ultimate value less than the working capital alone, although scattered instances may be found.
Montier believes this may provide a clue as to why the net net strategy continues to work:
This relatively poor performance may hint at an explanation as to why investors shy away from net-nets. If investors look at the performance of the individual stocks in their portfolio rather than the portfolio itself (known as narrow-framing), then they will see big losses more often than if they follow a broad market strategy. We know that people are generally loss averse, so they tend to feel losses far more than gains. This asymmetric response coupled with narrow framing means that investors in the net-nets strategy need to overcome several behavioural biases.
Paradoxically, it seems that what is true at the individual company level is not true at an aggregate level. The net net strategy has fewer down years than the market:
If one were to frame more broadly and look at the portfolio performance overall, the picture is much brighter. The net-net strategy only generated losses in three years in the entire sample we backtested. In contrast, the overall market witnessed some six years of negative returns.
Here’s the chart:
And it seems that the net net strategy is a reasonable contrary indicator. When the market is up, fewer can be found, and when the market is down, they seem to be available in abundance:
The main drawback to the net net strategy is its limited application. Stocks tend to be small and illiquid, which puts a limit on the amount of capital that can be safely run using it. That aside, it seems like a good way to get started in a small fund or with a individual account. Montier concludes:
In various ways practically all these bargain issues turned out to be profitable and the average annual return proved much more remunerative than most other investments.
Good old Benjamin Graham. What a guy.
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Great post. Just curious whether you have developed any strategies for actually entering into positions in net-nets. I have found the process of finding net-nets more intellectually stimulating than profitable because I often find that obtaining a position is an exercise in frustration given the illiquid nature of the typical net-net.
Perhaps part of the issue is choice of broker. I use Fidelity and find the lack of transparency on the bid/ask very problematic. One of their reps even told me that the bid/ask online is not accurate and I should call in to obtain accurate data.
Anyway, very interesting post. Thanks.
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Great work and appreciated. Thanks!
I spend most of my limited time translating what I’ve learned in finance, accounting, and business into automated data mining solutions. But what is interesting and I strongly disagree with was Seth Klarman’s response to searching for an investment formula. In his book Margin of Safety he wrote the following
“Many investors greedily persist in the investment world’s version of a search for the holy grail: the attempt to find a successful investment formula. Given the complexities of the investment process, it is perhaps natural for people to feel that only a formula could lead to investment success.
The financial markets are far too complex to be incorporated into a formula. Moreover, if any successful investment formula could be devised, I would be exploited by those who possessed it until competition eliminated the excess profits. The quest for a formula that worked would then begin anew.
Investors would be much better off to redirect the time and effort committed to devising formulas into fundamental analysis of specific investment opportunities.”
I’m sure Joel Greenblatt would have a different take on formula investing.
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Are there any funds or ETF’s that replicate this strategy?
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love these old studies, thanks!
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