Posts Tagged ‘Greenbackd’

A Miscellany of Deep Value

Greenbackd turned two on 1 December. Over the last two years the site has racked up 526 posts; 2,224 real comments; and 35,898 spam comments (no kidding). One of the best things about living, breathing and writing about deep value for two years is that Greenbackd now contains a great trove of research (from both academia and industry, a distinction that is important for a reason I’ll come to shortly) that, if properly collated, should yield some interesting insights. The only problem is that all of the research is buried in Greenbackd’s 526 posts, most of which are forgettable, regrettable, or both, and some were never published drafts that I held back (I take the Jack Welsh “decile” approach to posting and strangle about 10% of the posts in the crib. I know it’s hard to believe that some articles weren’t good enough for even my low standards, but imagine how much worse it could have been).

I’m going to go back through Greenbackd’s old posts to write a book on systematic deep value. I thought I’d foist my thoughts on some poor publisher somewhere and try to get the book published. Assuming that fails (and I am), watch for my self-published version from Booksurge. I enjoyed reading Paul Graham’s Hackers and Painters, which I understand is a collection of essays previously published on his site. That seems like a sensible approach to me. I’m going to write the chapters as essays for Greenbackd and hope that the poorer ones get some free editing from you fine folks. (I’d also appreciate it if you let me know if you think the whole thesis stinks.)

The central thesis for the book is quantitative (or systematic) value investment (either that or a collection of short stories in the style of Zachary Mason’s The Lost Books of the Odyssey, I haven’t yet decided). I’m primarily interested in three ideas:

1. The best performed metrics for assessing value in the real world. This is interesting to me for two reasons, and they are two sides of the same coin. First, many of the metrics that work in academia and in backtests run into some problems in the real world. In the immortal words of Yogi Berra (or Albert Einstein or Jan J.A. van de Snepscheut):

“In theory there is no difference between theory and practice. In practice there is.”

This boils down to Jameses Montier and O’Shaughnessy versus the world of academia, most notably Lakonishok, Shleifer, and Vishny. For me, this is cognitive dissonance defined. Aswath Damodaran also has some interesting contributions on this topic. Second, some real-world received wisdom in value is no wisdom at all (or at least, that is what the data tell us). I’ve spent a great deal of time backtesting various value metrics. Some work; some make no difference at all; and some destroy value. Some great men of value investing promote these metrics, and that is why they persist. I’m not interested in “good” metrics, which I define as those that beat the market over the long run. I’m interested in optimal metrics; those that consistently beat the other metrics in the real world. I hope and assume that you are too.

2.  The relative merits of quantitative and qualitative strategies in stock selection and portfolio construction. This is a justification for a systematic approach to investment. I believe that this particular event has been run and won by the quants, although my definition of “quant” hews more closely to Montier’s, O’Shaughnessy’s and Philip Tetlock’s definition than Scott Patterson’s. A good process-driven approach to long-only equity investment should and does provide a very good outcome. I think a good process is an austere Tetlockian algorithmic approach, which is in practice a screen that is very difficult to pass, but yields a high proportion of winners in the companies that do pass. Piotroski’s “F-Score” is an excellent example of such an algorithm (even though I don’t personally like it or use it for philosophical rather than practical reasons I’ll discuss at some later date). Assuming a company has a 50/50 chance of passing any one of the Piotroski F-Score algorithm’s 9 binary “gates,” only 1/(2^9) or about 0.2% will pass. When combined with a low decile price-to-book approach, the investable universe is very small indeed. In practice, only a handful pass the screen at any time, but those that do pass perform very well (see, for example, the Piotroski screen on the American Association of Individual Investors website).

3. The methods by which a portfolio can be made “robust.” This is perhaps the most esoteric of the subjects, and also the most interesting. There is a tension between portfolio theory suggested by the efficient markets hypothesis, real-world portfolio construction under the Kelly Criterion. I also think that Nassim Taleb’s thoughts on risk are useful to this discussion. The key to investing, as it is to many things, is to stay in the game. Once your stake is gone, there’s no way to come back (unless your investors don’t know the difference between the geometric and the arithmetic means, in which case just show them the arithmetic mean of your annual returns and party like it’s 1999). For this reason, I spend a lot of time agonizing about the ways that my fund can blow up. I’m not worried about the Rapture, the collapse of western civilisation, CERN’s Large Hadron Collider actually bringing a black hole into existence, or the Mesoamerican Long Count calendar being accurate. (I’m not worried because if any of these things occur we’ll likely have bigger problems than investment returns.) The Austrian economist in me is, however, worried about lots of other things. I think Nassim Taleb’s key insight is that we don’t need to any specific event to be foreseeable to know that we should be prepared for the occurrence of some event. History teaches us that the hundred-year storm rolls around much more frequently than its name would suggest.

While the central thesis is narrow, to do it justice the book will have to canvas a broad range of issues in behavioral and value investing. Some of the topics that are central to this project haven’t yet been written, and so they will be created in the interests of completing the project. The new format for Greenbackd means that I’ll be posting less frequently, but when I do post they’ll be longer chapter essay-style posts, and I’ll be avoiding (for the most part) current events. Thoughts and comments are most welcome.


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Top posts of the year

I’m on break for the next three weeks. Here are the top posts for the past 12 months:

  1. Mike Burry’s Scion Capital investor letters
  2. Guest post: The short case for Berkshire
  3. Graham’s P/E10 ratio
  4. Tweedy Browne updates What Has Worked In Investing
  5. What Montier’s Painting by Numbers can offer to value investors
  6. The long and short of The St. Joe Company
  7. Seth Klarman on Liquidation Value
  8. Intuition and the quantitative value investor
  9. The long and short of Berkshire Hathaway
  10. Guest post update: Valuation for Berkshire Hathaway

Good investing.

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Top posts for the quarter

Folks, I’m traveling this week to the Value Investing Congress in New York (it’s nearly sold out, but tickets are still available. Come and say, “Hello.”) I won’t be maintaining my usual posting schedule while I’m here. In the mean time, here are the top posts for the quarter:

  1. The long and short of Berkshire Hathaway
  2. Mr. Market refuses to do what he’s supposed to, apparently
  3. Graham / Shiller PE10 calculated using ShadowStats CPI
  4. Greenbackd Contrarian Value Portfolio Update
  5. Guest post: Seahawk Drilling Inc (NASDAQ:HAWK) and the Hacienda
  6. Quant funds don’t perform like a good quant fund should
  7. East Coast Asset Management on Becton, Dickinson and Co. (NYSE:BDX)
  8. Handy automatic Graham / Shiller PE10 chart
  9. Darwin’s darlings in practice
  10. The long and short of The St. Joe Company (NYSE:JOE)

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Last month I sat down for an interview with Geoff Gannon from Gannon on Investing. Geoff is a superb value investor in his own right, and a student of the markets. He asked some fantastic questions, and we covered a great deal of territory in the 1 hour 15 minute interview. One subject we touched on was the issue of “bottom-up, fundamental” versus “top-down macro” investing styles, a topic that has received some attention overnight in the WSJ (see ‘Macro’ Forces in Market Confound Stock Pickers). Many thanks to Geoff for the opportunity.

Listen to the interview.

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It’s always fascinating for me to see which posts draw the most attention. Here are the top 10 posts for the last quarter:

  1. Graham’s P/E10 ratio
  2. The long and short of The St. Joe Company
  3. Absolute Return interviews Seth Klarman
  4. Seahawk Drilling (NASDAQ:HAWK) redux and HAWK liquidation values
  5. Whitney Tilson and Glenn Tongue on BP Plc
  6. ROIC and reversion to the mean: Part 1
  7. The long and short of Berkshire Hathaway
  8. Grantham on the potential disadvantages Graham-and-Dodd investing
  9. Seth Klarman sees another lost decade for stocks
  10. Lost Graham speech rediscovered

See you Monday.

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Greenbackd has had some great investment ideas contributed in the past by readers, and so I’m extending another open invitation to anyone who wishes to submit a post for publication. The only requirement is that it be within the remit of Greenbackd, which is say that it is an undervalued asset situation with a catalyst.

Email your idea to greenbackd [at] gmail [dot] com.

Fame and fortune await.

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I’m taking two weeks off.

I’ll be in Pasadena, CA at the Value Investing Congress on May 4 and 5, and the Wesco Financial Corp. (AMEX:WSC) 2010 annual meeting on May 5. If you’d like to catch up, please drop me an email to greenbackd [at] gmail.

I’ll be back Monday, May 17, 2010.

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Here are the top 10 posts for the last quarter by unique visitors:

  1. The palaeontology of Mike Burry
  2. Guest post: The short case for Berkshire
  3. Intuition and the quantitative value investor
  4. Japanese liquidation value: 1932 US redux
  5. What Montier’s Painting by Numbers can offer to value investors
  6. Seth Klarman’s Twenty Investment Lessons of 2008
  7. Quantifying qualitative factors
  8. Hunting endangered species
  9. Mean reversion in earnings
  10. The Kabuki narrative

Happy Easter. See you back here Tuesday.

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Update: Happy April Fool’s Day. The hunt for http://www.valuestocks.net goes on.

I’ve been on the Mike Burry story like a bloodhound on a rawhide bone. One part of the puzzle that has continued to elude collectors of Burry memorabilia is an archive of Burry’s http://www.valuestocks.net site. Until now.

I am pleased to announce that Greenbackd has exclusive access to Burry’s www.valuestocks.net archive. Click here to see it all its wonder. You’re welcome. You wouldn’t get this from any other guy.

It’s amazing what one can achieve with only archive.org’s Wayback Machine, a team of archaeological finance hackers from The Heilbrunn Center for Graham & Dodd Investing and a “Never-Gonna-Give-You-Up” attitude.

For those who are interested in a technical discussion of the hack, click here.

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Greenbackd Report

I’ve received sufficient inquiries about the subscription-only service aimed at identifying stocks similar to those in the old Wall Street’s Endangered Species reports to proceed with it. Thank you for your support.

If you would like to receive a free trial copy of the report when it is produced in exchange for providing feedback on its utility (or lack thereof), you can still send an email to greenbackd [at] gmail [dot] com.

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