*Forward Looking Measures Still Don't Provide Evidence for a V-Shaped
Recovery <http://www.hussman.net/rsi/vshapedrecov.htm>**
**
**William Hester, CFA
November 2009
All rights reserved and actively enforced.*
*Reprint Policy* <http://www.hussmanfunds.com/html/reprints.htm>

With Friday's employment report coming in somewhere between mixed and poor,
much of the good economic news arrived earlier in the week. One of those
pieces of data was in the government's report on productivity. Worker
productivity grew at 9.5 percent at an annual rate, its fastest pace in six
years. Following the report many analysts made the argument that corporate
profits were sure to boom following such high periods of productivity. Let's
take a look at whether the data supports that view.

First we'll look at two of the determinants of corporate profits, and then
see how correlated they are with the changes in the level of worker
productivity. The first graph below shows year-over-year changes in both GDP
and corporate profits. To take out some of the volatility in each series,
both are smoothed. What the graph shows is that during the 1970's and
1980's, relative changes in profits tracked changes in GDP fairly well.
Strong periods of profit growth typically coincided with strong periods of
economic growth. This relationship broke down beginning in the mid 1990's.
During this more recent period, corporate profits boomed alongside more
moderate nominal GDP growth.

The next graph compares changes in corporate profits with changes in the
level of corporate profit margins. The fit of the two lines is almost a
mirror image of the first graph. The first half of the data shows that
profit growth was much stronger than what could be explained by changes in
profit margins during the 1970's and 1980's. Profit growth consistently
outpaced the relative changes in profit margins during the early period. But
since the late 1990's, the correlation of the relative changes in the two
has tightened. The boom in profit margins helped fuel the boom in corporate
profits this decade – during a period where nominal GDP growth was more
moderate.

One would expect economic growth and changes in profit margins to go a long
way toward explaining the changes in corporate profits. In the graph below
I've summed the year-over-year changes in GDP growth and corporate profit
margins against the changes in corporate earnings. The two clearly explain
the variation in corporate profits better than each does individually.



This isn't very surprising. Changes in the sales-per-share of the S&P 500
have a relatively strong correlation with changes in GDP growth. This graph
picks up that correlation, and simply confirms that earnings are a function
of some combination of rising sales and rising profit margins. Nearly all of
the periods where earnings grew quickly coincided with periods of very fast
nominal GDP growth or near-record profit margins. As I've noted in recent
research articles, forecasting very fast earnings growth over the next year
or two is implicitly assuming that the economy is going to race ahead or
profit margins are going to return to near-record levels.

Surprisingly, the historical data indicate that productivity has essentially
no correlation with either overall economic output or changes in corporate
profits. As a result, productivity hasn't been helpful in explaining or
forecasting profit growth. This is the case even if you lag profit growth.
The graph below compares changes in productivity with changes in corporate
profit growth (both smoothed). The relationship between changes in the two
over this time period is actually slightly negative.

It's fair to say that productivity typically rises at the end of recessions
as employers continue to cut costs while the contraction in output begins to
slow. It's also fair to say that productivity grew at persistently higher
rates in the late 1990's and early 2000's as corporations invested heavily
in technology. What's more difficult to argue is that strong earnings growth
naturally follows periods of high productivity. That depends on the economic
and corporate profitability environment. Strong profit rebounds typically
coincide with some combination of three events: strong real economic growth,
high inflation in the GDP price deflator, or quickly rising profit margins.
To bet on strong earnings growth over the next couple of years relies on
outlier forecasts for any or all of these economic measures.

*The Real Economy's LEI *

Although the recent GDP report showed that the U.S. economy expanded in the
third quarter, the first time the economy has grown since the second quarter
of 2008, the bulk of the expansion was fueled by government-supported
programs, like ‘cash for clunkers' and the first-time home-buyer credit.
Plus, it's a snapshot of recent history which doesn't offer much help in
looking forward over the next few quarters. One of the better indexes for
that task is the Conference Board's Leading Economic Indicator Index.

This month's release of the LEI was met with much excitement. The LEI Index
has risen for sixth consecutive months, was up 1 percent from the previous
month, and up almost 6 percent from six months earlier. But before investors
decide that this provides firm evidence that the economy's rebounding and
that the recovery will be robust, they should look at the components of the
indicator that provide a view into the real economy. When you look under the
hood at the real economy's LEI, the forecast for growth is much more
mundane.

The graph below shows the rolling 6-month change in the LEI Index. The Index
has gone through a couple of revisions since the Conference Board took over
calculating it in mid 1990's. So the current history wasn't available in
real time. But in its current format you can see that it's done a fairly
good job of leading the economy, especially at important turning points.
Although it issued a couple of false warnings prior to periods where the
economy continued to expand, it turned negative around the onset of each
recession going back to 1960. The index has also turned up prior to the end
of each recession, and it typically correlates well with how robust the
recovery eventually turns out to be. That's why enthusiasm is building for a
robust, V-shaped recovery. The Economic Research Institute's Weekly Leading
Index has also showed strong growth during the last few months.

Before basing any investing decisions on leading indexes, it's probably best
to know what's driving them, and to separate the components that track the
real economy versus those that track financial indicators. A quick review of
how the Conference Board calculates the LEI Index will help in this process.
The indicator is made up of 10 components that typically lead the overall
economy. The index includes jobless claims, average weekly hours, and new
orders for consumer and capital goods, to name a few. The LEI Index also
includes the views of financial market participants, by including the change
in the stock market and the level of the spread between short and long
rates.

Each month along with each component, the Conference Board releases a
percentage figure. These are sometimes referred to as each components
weight, but a more accurate description is that these are factors that
attempt to standardize the volatility of each series. Since some components
are more volatile than others, these factors help to smooth out each
components month-to-month contribution. These factors are calculated from
the long-term average volatility of each component.

Because the volatility of stock returns has been far above typical levels,
while most of the other components have experienced more typical levels of
volatility (outside of the money supply), we can assume that stocks are
making a larger contribution to the volatility of the index. If factors were
scaled based on more recent volatility, these factors would be smaller,
making the overall index less sensitive to large month-to-month stock market
changes. The graph below shows the annualized volatility of monthly returns
for the S&P 500 Index since 1960.



The level of the spread between short and long rates is also above average.
This spread is about 3.25, versus a long-term average of about 1. So we know
that the financial market indicators are playing an important role in the
performance of the overall LEI Index. The graph below attempts to give some
perspective on the extent of this role. The dark blue area tracks the
rolling six-month change in the overall LEI Index since 1960. The light blue
area shades the 6-month change in the real economy's leading index on top of
the six-month change in the overall LEI Index. The real economy's LEI index
is an index we've created that tracks the changes in all of the components
of the Leading Index except for the two financial markets components.

It may be difficult to see the last few data points. But the LEI Index is up
almost 6 percent from six months earlier, while the real economy's LEI is up
about 3.5 percent. So, clearly both measures of leading index components are
recovering and rising. But the difference in their growth rates is important
to note.

As the graph shows, it's not unprecedented to have the overall LEI Index
race ahead of the real economy's LEI Index. This occurred in the mid 1980's,
when stocks were rebounding from extremely low levels of valuation (some 40
percent below the valuation levels seen in March). More recently, the two
diverged during the most recent cyclical bull market beginning in 2003, when
stocks mostly outpaced the more moderately expanding real economy LEI Index.


There are a few data points that are worth highlighting. These include the
recession of 1974 and the back-to-back recessions of the early 1980's. Both
recessions forced stock market valuations to favorable levels, and both
periods witnessed strong rallies following the end of each recession.
Economic growth also rebounded strongly, even if just for a short period in
some circumstances, following these recessions.

As the graph shows, each of those recessions was also followed by very
strong rebounds in the LEI Index – typically by almost 10 percent in just 6
months. And not only was the overall index strong, but the underlying real
economy's LEI Index was as strong. There is very little dark blue showing in
the graphs during these periods. Currently, the growth rate in the real
economy LEI Index is only at about a third of the peak in growth that
typically follows deep recessions that are followed by strong recoveries.
Over the next few months both the overall LEI Index and the real economy's
LEI Index will be important to watch. A robust recovery will likely be lead
by an impressive rebound in the overall LEI Index, and importantly, be
confirmed by an equally strong expansion in the real economy's LEI Index.

There's still little evidence that the economy or corporate profits are
heading for a V-shaped recovery. A robust recovery in profits will likely
rely on a robust economic recovery. Currently, leading indicators of the
real economy aren't consistent with that outcome.

-- 
Best Regards,
Jay Shah, FRM

"Expect The Unexpected"
Blog: http://fuzylogix.blogspot.com/

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