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This week we will look at two shorter essays for this edition of Outside the
Box. The first is some thoughtful words by Tom Au on whether or not we have
put in a true bottom for the market. I particularly want you to read his thoughts
on what earnings will look like going forward, and whether we can get back
to the highs in corporate earnings we saw in 2006.
Tom is the executive vice-president of R. W. Wentworth, a contributor to Real
Money at www.thestreet.com and the
author of "A
Modern Approach to Graham and Dodd Investing"
In last Friday's letter I mentioned an article by William Hester, CFA, who
is the Senior Financial Analyst at the Hussman Funds. (www.hussmanfunds.com)
While I quoted a few paragraphs from his essay, on reflection I think I will
re-produce it below, as this is a very important concept. I have written in
past letters and in Bull's Eye Investing about how powerful a driver earnings
surprises can be (both positive and negative). Powerful bear and bull markets
develop when there are numerous surprises in the same direction, re-enforcing
market psychology.
So, read Hester's essay with the knowledge of what Au writes about earnings.
I think the two make a very powerful, thought-provoking concept. And I am off
to Europe.
John Mauldin, Editor
Outside the Box
Watch Out For the Second Leg of the Downturn
by Tom Au
Do you think that the crash is over, as certain former bears do? This question
arises as we have breached the first downside target, of Dow 7000, based on
my proprietary investment value model, that was first published in thestreet.com
October 24, 2007. It was less a forecast than an evaluation. The Dow has now
vindicated this model by reaching "fair value," as one would expect from a
simple definition. Does that represent a base for a new bull market? Or is
it just one more stop to the nether regions?
To understand my model, note that a stock can be analyzed as a combination
of a bond plus a call option. My proprietary investment value metric for a
stock is book value plus ten times dividends. That is a Ben Graham like construct
that treats stocks almost like bonds, and gives no effect to growth over and
above the pro rata return from the reinvestment of retained earnings. On the
other hand, many investors prize stocks, particularly tech stocks, for their "optionality," the
hypothetical ability to generate "positive surprises" over and above what economic
theory would support. At bottom, the belief in the new economy was a belief
in "optionality," that random positive events that occur from time to time,
and did so with particular frequency in the 1990s, will become a recurring
fixture of the economic landscape.
But such a process can also work in reverse, as it has recently. We are now
experiencing what my colleague Robert Marcin calls the Great Unwind. A turbocharged
economy is most likely to become "unstuck" when the conditions that initially
favored it no longer exist. When this happens, an economy can grow as much below trend
as it was formerly above trend, a fact that is likely to be reflected
in the financial markets. History is not very encouraging on this score. In
past downturns, such as those of 1932 and 1974, the Dow troughed at one half
of my investment value metric, reflecting then-prevailing investor beliefs
for negative optionality; that the economy will be worse than normal
economic forces would dictate. With investment value at 7000 (actually a rounded
version of 6600) on the Dow, half of that would be 3300. And during the 1930s,
this metric actually fell, meaning that the "ultimate" low could be half of
a number lower than 6600.
So having completed a first downleg, the market is now working on a second
one. And this would be fully reflective of economic forces. For instance, financial
earnings used to represent some 40% earnings (if you count the financing arms
of some old line "industrial" companies such as General Electric and General
Motors). Thus, they made up $32 of what used to be normalized S& P earnings
of $80. But most of those financial earnings have disappeared. That, by itself,
would take the S&P earnings into the $50s.. But how many of those non-financial
earnings (of $48) were tied to the finance bubbles such as the homebuilding
and the "housing ATM?" At least 10%, or around $5, and that is being conservative.
Thus, normalized S&P earnings are likely to be no more $50 a share, if
that.
The problem comes at payback time. For instance, much of the borrowing was
tied to the housing market, on the bogus theory that houses could be made twice
as valuable (as a multiple of rent) as they were for all of American history
if prices could be kept on steady incline. The problem was that valuations
collapsed when house prices fell, or even failed to rise, bringing down the
market with it. To make up the shortfall, the U.S. economy now has to consume
less than it produces, for a time. But the formerly virtuous circle became
a vicious circle when falling prices (and consumption) led to falling production
in a self-reinforcing process of the kind best described by George Soros in
the Alchemy of Finance. This is a process called underabsorption, which
in its strongest form, is called disintermediation. When a major part of the
economy becomes "unstuck, the rest of it doesn't merely go into retrograde.
It has to fall apart also to keep pace.
But I can live with $50 trough earnings, say many. And at historical multiple
of 14-16 times trough earnings, the S&P should stop its downside in the
700-800 range. But the point is, they're not trough earnings, they are the "new
normal." And in the current "slow" (zero or worse) growth environment, a trough
P/E of 6-8 times earnings is more likely. Put another way, we are about to
get the worst of all worlds; below trend earnings, below trend growth from
a depressed base, and below trend P/E, after having gotten the best of all
worlds, astronomical P/Es on above-trend and rapidly growing earnings, about
a decade ago. Warren Buffett now agrees, saying that we will get "almost the
worst of all possible worlds..."
The bears-turned-bulls have taken the latter stance because the market now
reflects at least a severe recession. One such commentator likened the recent
market to 1938-1939, and feels that the latter represents a bottom. But the
1930s bottom was 1932, not 1939, which is to say that the market probably has
further to fall. Having correctly dodged the "overvaluation" bullet earlier,
the new bulls pin their hopes on the prospect that the current market represents
everything bad short of the 1930s Depression. Unlike us, they aren't
willing to grasp the nettle that the current crisis will likely be as bad as
anything including the Great Depression.
A Stock Market Rebound Closely Linked with Economic Data
Surprises
by William Hester, CFA - April, 2009
There are several ways to interpret the economic data in March, most of which
came in above what economists were expecting. Some analysts concluded that
the worst is over for the economy, and a rebound is ahead. Others suggested
that the economy is still contracting, but at a slower rate for now. In any
case, economists have overestimated the economy's rate of contraction lately.
The rebound in the stock market has been at least partially fueled by economic
data that consistently came in better than expected last month. Some part of
this rally is likely relying on the continuation of these "positive" surprises.
To track the trends in economic performance, we keep an ongoing tally of how
data is announced relative to expectations - a method of analysis originally
inspired by Bridgewater Advisors. Economic
data that surpasses expectations gets added to a 3-month running total. Data
that comes in weaker than expected gets subtracted. A rising line means that
economic data is generally coming in above expectations, while a falling line
means that the data has disappointed. A descending line could be the result
of an economy that is not expanding as quickly as economists predict or - like
in 2008 - it could be the result of an economy that is contracting at a faster
rate than expected. In the first graph, and the others below, I've isolated
only the data that measures the growth in the economy, leaving out measures
that track the rate of inflation and sentiment. The first chart below shows
the surprise line for growth-related economic data since last August, just
prior to the passing of the Emergency Economic Stabilization Act, from which
the first version of the TARP was born.

There's nothing quite like pointing out how bad a shape the economy is in
to get people acting like the economy is in bad shape. During the early part
of last summer the economy was actually holding up better then what was generally
expected. But during the final quarter of last year, the economic surprise
line (in blue) collapsed. Data persistently came in below expectations, which
created the steepest drop in the line tracking economic performance versus
expectations in the available data.
The red line in the graph above tracks the S&P 500 Index and it shows
that stocks have recently closely tracked the trend in data surprises. The
market fell along with the deteriorating surprise line last year, rallied slightly
prior to improved news in December, and then rolled over again as the news
weakened versus expectations in late January. In March the market rebounded
along with a more pronounced persistence in favorable economic news versus
expectations.
The data released in March was better (or less negative) than expected on
a number of fronts. The slowdown in spending eased, there was temporary relief
in the new and existing homes sales data, and sentiment measures mostly halted
their steep decent of recent months. But while much of the data was surprising
relative to expectations, it's difficult to point to any piece of data that
was surprisingly strong (outside of some of the volatile data series like,
for example, durable goods). New homes sold at an annual rate of 337 thousand
versus 300 thousand (and a peak of 1.4 million). GDP was revised to -6.3 percent
versus an estimate of -6.6 percent.
Much of the excitement in the stock market - at least that is related to the
current performance of the economy - seems to be centered on an economy that
is performing less badly than expected. The risks here seem to be that if the
trends in data surprises change, so could investor's attitudes toward stocks
that are currently overbought on a number of measures.
There are a couple of reasons why the trend in the rate of data surprises
could change. The first is that trends in economic surprises are very prone
to reversals. The chart below shows a longer-term picture of the changes in
the trends in economic data surprises. The one thing that stands out looking
at the graph is that the trends in surprises often reverse abruptly. When the
estimates of economists fall behind in an expanding economy - underestimating
its strength - expectations are adjusted upward. These estimates eventually
become too optimistic. The same can be said of an economy that is contracting
more quickly than expected. And the data shows that the more pronounced their
forecast errors - the more abruptly economists begin to overestimate the economy's
recent trend.

Another reason why the economic news may begin to disappoint at some point
is that recoveries rarely proceed smoothly. The trends in month-to-month and
quarter-to-quarter data tend to lurch forward and backward as the economy regains
its footing (and at times, like in 1982, the economy can fall right back into
recession).
One recent example of this was in 2002, which is shown in the graph below.
The trends in economic data versus expectations were persistently better than
expected from late 2001 as the economy emerged from recession that year through
late spring of 2002. The S&P 500 surged by more than 20% from its 2001
low as the economy began to regain its footing and offer up positive data surprises.
But by the summer of 2002 the rebound proved not robust enough when compared
with economist's expectations, and the surprise line rolled over. With stocks
not yet at valuation levels that were attractive to investors, the S&P
plunged along with the data surprise line.

It's important to note that this was during a period where the economy was,
in hindsight, no longer in recession, and where there were many measures that
showed the economy was growing again. But the market was still tripped up at
least partly because expectations had moved ahead of the economic recovery.
The bear market remained unfinished, and stocks fell to new lows. This may
turn out to be an important risk over the next couple of months. The economic
data is certain to be uneven, which in turn may cause investors to begin to
question whether an economic recovery is really at hand. Risks will likely
be higher at points where the market is overbought.
Investors tend to punish economic disappointments much more strongly during
bear markets than during bull markets. The graph below, which shows the S&P
500 and the surprise line from 1998 to 2002, highlights this tendency.

Although it's just a portion of one cycle - the late stages of an expansion
and a mild recession, it's worth noting how stocks performed in response to
economic data surprises. In the last part of the 1990's bull market, a rising
economic data surprise line mostly fueled rallies. Data worse than expected
weighed on performance - often causing shallow declines like in 1998 and late
1999. Conversely, during the 2000-2002 bear market, disappointing economic
data coincided with steep declines in equity prices, while positive surprises
usually eased the market's deterioration.
These trends were also evident during the market's advance from 2003 through
2007, but were somewhat less dependable. During that period, the trends in
the surprise data were shorter and more variable than the market's slow, persistent
advance. Since last summer, the correlation between the two has tightened considerably.
In fact, the correlation between the S&P 500 and the data surprise line
has climbed above .80, implying that investors are keeping a close eye on how
data comes in relative to expectations.
If the high correlation between stock prices and data surprises holds, the
recent rally in stocks might be tested. Even if the economy has bottomed, it's
very likely that the eventual recovery will prove to be uneven, causing the
flow of positive surprises to be uneven. During these periods, the risks to
stocks will be greatest when the market is overbought and investors have priced
in high expectations of positive data surprises continuing.
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