Posts filed under “Data Analysis”

Not Expensive vs cheap

This quote is typical of sell side rationalization:


“One of the things that makes this
market confusing is that some valuation gauges clearly indicate this market is
cheap. James Paulsen, chief investment strategist at Wells Capital Management,
recently brought up the "Rule of 20." According to this, the market is fairly
valued if its price-to-earnings ratio is equal to 20 less the inflation

Right now, the rule suggests that
the market’s P/E should be about 17.7 — or 20 minus the core inflation rate of
2.3%. But the S&P 500′s multiple is actually a mere 14.5 times analysts’
2006 earnings estimates and 13 times analysts’ 2007 estimates of
$95.64.”     -Barron’s, 6/12/06


One of the issues that seem to be
confusing to investors is the difference between “not expensive” or "fairly valued" and “cheap.”  I think its from years of massive overvaluation that has led some observers to think that Not Absurdly Expensive somehow = cheap.

First, let’s start with not expensive:  A P/E of 17 or so is not
terribly expensive – especially after the prices paid in the 1990s. That 17 # is
the median trailing P/E for the past 50 years (See this chart).
I suspect the 17 number may be somewhat skewed by the gogo years in the 1990s.

If you take the data going all the
way back to 1871, you end up with a trailing P/E of 11. That data, in turn, may
be skewed by the Great Depression.

Either way, however, the present P/E
hardly qualifies as “cheap.”  It is at best fair value, which does not exactly
make stocks a compelling bargain. Have a look at this chart (via Jeremy
Grantham) for a better sense of how cheap P/E is at present:

“Fairly valued” is just the snapshot
of where we are; What happens if we look at the moving

“If the P/E expanded to 17.7, the
S&P would trade at 1529 on analysts’ 2006 estimates or 1693 on their 2007
earnings estimate. Those would be gains of 22% to 35% — something investors can
only dream of after last week’s miserable

Not only are P/E’s not expanding,
they are going the opposite direction – we are in a period of cyclical P/E
multiple compression. Recall that during the last secular Bull market, P/E
expanded from 7 in 1982 to the 30s in 2000. By that measure, this multiple
expansion was where 75% of the bull market gains came from.

Now, we are on the other side of the
mountain. P/Es are compressing, meaning investors are increasingly less willing
to pay for that dollar of earnings. This helps to explain why despite all the
share buybacks, dividend increases, double digit year over year earnings gains
and M&A activity, stocks have been unable to make much headway.





The Trader: No Mood for Shopping   
The Dow drops more than 3% on the week — but cheaper stocks may not be bargains.
Barron’s 6/12/06

Category: Data Analysis, Financial Press, Investing, RR&A, Valuation

Ignore Inverted/Flat Yield Curve at Your Own Risk

Category: Data Analysis, Economy, Federal Reserve, Fixed Income/Interest Rates, Markets

4 Year Presidential Cycle

Category: Data Analysis, Politics, Psychology, Technical Analysis

The Increasing Pressure on the Middle Class

Category: Data Analysis, Economy, Employment

New Real Money Column: Ignore Statistical Oddities at Your Peril

Category: Data Analysis, Economy

CPI Null Set (via The Economist)

Category: Data Analysis, Federal Reserve, Financial Press, Inflation

Read it here first: The Cost of Sarbanes-Oxley

Category: Corporate Management, Data Analysis, Financial Press, Markets, Politics

James Altucher: “The Underlevered American Household”

Lets just look at what’s wrong with a few items in Jim Altucher’s column yesterday, “The Underlevered American Household.” I may have to address the rest of the erroneous analysis in a full column — but for now, let’s stick with the first chart in the article. Jim believes the following chart is “mostly useless.”…Read More

Category: Data Analysis, Economy, Retail

A Deceptively Simple Timing System

Category: Apprenticed Investor, Data Analysis, Earnings, Fixed Income/Interest Rates, Markets, Technical Analysis

Major Internet Site Web Traffic

Category: Data Analysis, Web/Tech