Sunday, March 9, 2008

Why hot stocks like Google & Research in Motion and hotter commodities always disappoint, eventually

1. Reversion to the mean. A reason to look for great companies in hated sectors i.e. AXP, USB, LM and to stay away from momentum plays like gold, oil and stocks everyone is talking about on CNBC.

2. The law of large numbers. Warren Buffet refers to this on the 2nd page of his letter this year: Berkshire cannot replicate it's past performance simply because it is now too big. Very rapid growth is not sustainable and any share price that prices in sustained growth at non sustainable levels will crash hard at an unpredictable time (i.e. when Wall Street figures out that it really isn't "different this time" and sells their stake). This is why I prefer midcap and small cap companies with established leadership (who are company owners, not employees), a global footprint, little or no debt and cash on hand. i.e. COLM, SEB, BBSI

Pabrai’s Law of Large Numbers

Posted by: Drizzt on Sunday, November 4th, 2007

In 1939, Sir John Templeton borrowed money to buy stock in 104 companies selling under $1, 34 of which were in bankruptcy. In time, four of those stocks ended up worthless, but Templeton turned massive profits on the portfolio as a whole. Should we be looking at small- and mid-cap stocks? Pabrai thinks so.

The S&P 500 vs. The Big Boy In this 2002 article, Mohnish Pabrai examines the effect of buying the biggest and brightest Fortune 500 company (the most valuable business by market cap) each year from 1987 to 2002.

The result: You would have earned just 3.3% vs. 10% for the S&P 500 during that time.

In his study, Pabrai points out that there seems to be a glass ceiling on revenues—none of the top companies got much beyond $100 billion. And so he asks the question…

Is There A Natural Upper Limit On Revenue Or Profitability Of A Business?

According to Pabrai, the answer is yes. From constant attacks by competitors to management’s ability to handle only so much input, the largest companies can only grow so much.

According to Clay Christiansen in The Innovator’s Dilemma, this is a disruptive innovation phenomenon—and the big companies can’t possibly overcome it with speed and great success time and time again.

Pabrai’s Law From where does the best growth come? Pabrai says you should stick with companies generating no more than $3 to $4 billion in annual cash flow—particularly if that company is considered a blue-chip. Indeed, cash flows are most likely to tread water or start dropping almost immediately after your investment. A few companies will buck the trend, but they’re probably not the ones that end up in your portfolio.

Over the years, I’ve taken a pass on many supposedly stellar businesses purely on the basis of the Law of Large Numbers, and I’ve never regretted it. Taking insurance while playing Blackjack seems very logical, but it’s a sucker’s bet. Investing in the most valuable businesses around is no different. Low-Risk, High-Uncertainty:

Another Pabrai Law Is Mohnish saying we should run out and buy every stock under $1? I doubt it. Instead, look for businesses that have been "punished" by Wall Street—stocks that have had their prices beat down or that have experienced massive business growth without a commensurate rise in stock price. Then, Keep It Simple Don’t forget: Stick with simple, easy-to-understand businesses. Your sphere of competence and confidence is built into you, and it is likely different than mine (or anyone else’s sphere).

Going back to Pabrai—when I asked him how he determines a company is in (or out of) his sphere of competence, he meandered a bit before answering. Then, he gave me the "you just kind of know" answer. When you find a business, it will click. If you aren’t sure, let the prospective (and potentially mouth watering) profits go…and start looking for another opportunity. Investing is one of those games where it pays to be a quitter. If something seems too difficult, walk away. Just don’t translate that into your personal life and you’ll be fine.


No comments: