Introduction
Essentially I am a
student of investment performance. For the most part I use the global universe
of mutual funds as my laboratory. In addition, I serve on a number of
investment committees that employ external managers as well as own individual
securities. Recently, I suggested that in addition to looking at the rank of
our endowment performance that we isolate five to ten winners and a similar
number of losers. I was much more interested in the second group. There were
many similar characteristics of the winners however there were fewer in the laggards.
As an investment
manager for serious investors my first job is to avoid losing large amounts of
money for my clients. With this particular task in mind I have identified three
main causes of many large portfolio losses.
Major Source # 1: Gross
Domestic Product (GDP)
The academic definition
of GDP is the sum of the goods and services produced within a national economy.
From that top down level other economic projections are made by economists that
in turn produce investment strategies of portfolio managers and strategists.
There are numerous problems within this approach. First, much of the data collection
going into the aggregate GDP number is flawed. The source is
usually government data which can be easily manipulated for political purposes
to such a significant degree that the former Premier of China indicated that he
did not trust GDP as it was “man made.” He used other data produced by the
private sector to help him guide the Chinese economy.
There are substantial
portions of the US economy that go largely unreported. Not only is the
“informal” or underground economy uncounted, the value produced by the
volunteer sector is also unknown as is the work carried on within the home for
no direct monetary compensation. Paul Samuelson, the great MIT economist and
the author of one of my college economy text books pointed out that if a man
married his maid and she continued to clean his home as his wife, the GDP would
shrink because the maid’s income would no longer be counted.
In the modern world the
production of GDP is done for political leaders to guide their economic
policies. Because the politicians have most of their political power within
their borders, they are essentially focused on domestic job creation. This is
not the way consumers look at their purchases which are focused on quality,
price, style, and availability from any acceptable source. Managers must manage
both domestically produced products and imports and their relative prices.
Investors need to follow their investments in companies that have both domestic
and foreign activities as well as follow world trade flows and currency
fluctuations.
Thus in the real world
GDP is not of much use to us as consumers, managers, and investors. Therefore,
be very careful of any manager that starts his/her investment strategy based on
changes of the level of the GDP. That is not the real world and only useful in
dealing with the politicians and the uninformed media.
Major Source # 2: Reported
Earnings Per Share
As soon as earnings per
share numbers are published, investors are bombarded with slews of “Non-GAAP”
statistics often adjusting most of the operating numbers on the income
statements. Managements want investors to focus on these adjusted numbers not the
reported numbers and the differences can be meaningful, from a loss to a profit
excusing some non-recurring occurrence. Managements are often getting paid
through stock price changes, but the statistical services are using the
reported numbers. So whether the stock and the market is cheap or expensive relative
to earnings is a function of which set-off earnings are being used.
As a professional
analyst, I prefer to focus on operating earnings excluding in many cases net
interest income, but adding actual and additionally needed capital expenses. In
essence I am looking to determine the net cash generation of the business after
expenditures and debt service. Thus different investors can come up with
different valuations from the same financial report. For the professional
investor the published financial statement is the beginning of the analytical
discussion not the end. Therefore, a manager that relies exclusively on
reported earnings could be misleading both investors and him/herself as to the
significance of the report.
Major Source # 3: Investment
Predictions
Charlie Munger and
Warren Buffett place very little reliance on economic or corporate predictions.
This is contrary to most of the financial community which rotates, sometimes
violently, on changes in predictions. Many studies of investors' behavior and
particularly of their losses show that high levels of confidence as to the
future can lead to poor results. If one emotionally needs to make predictions,
make them often, but go back to the base case each time to see the nature of
the differences and the strength of the prediction. The odds are that we will
be wrong much more often in our predictions than in our analysis of the present.
Our view of the past will be occasionally
wrong as well.
Applying this Week’s
Thoughts
Each week Barron’s
publishes a confidence index that compares the yields of the best (high
quality) bonds and intermediate (lower investment grade) bonds. Over time if
the relation between the yields widens, high quality stocks will rise. For the
last several weeks that is exactly what is happening with the yields on the
higher qualities being flat and the yields on the intermediates rising. Over the
latest 12 months the high quality yields have dropped from 3.64% to 3.23% where
as the intermediates’ yields have risen from 4.68% to 4.92%. The way I interpret
the data, the intermediate yield gain is showing a measurable increase in an
estimate of the default risk which to me is more significant than a somewhat larger decline in the best bonds’
yield. I am a little more confident in the analysis of what the present market
is saying than I am in the future prediction.
Question of the week: How do you measure your confidence ?
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Copyright © 2008 - 2016
A. Michael Lipper,
C.F.A.,
All Rights Reserved.
Contact author for limited redistribution permission.
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Contact author for limited redistribution permission.
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