190 The Business of Value Investing
terms, there is an asymmetry in the risk/reward ratio between being
short or long in the stock market. The asymmetry reveals itself in
this way: Losing on a long position reduces an investor ’ s risk expo-
sure while losing on the short position increases the risk exposure
because it means that the stock price is going up. However, at times,
short selling certain stocks can be a very value - oriented investment.
In the early 1970s, a group of large investor favorites known as
the Nifty 50 were widely regarded as “ one - decision ” buy - and - hold
stocks. Regardless of how high the stock prices rose, investors came
to believe that the predictable rapid earnings growth of the Nifty
50 was suffi cient to justify their purchase at any price and produce
market - beating results. During this time of unyielding optimism,
the average P/E of the Nifty 50 stocks was 37 versus a market mul-
tiple of 18. It was clear that the valuations afforded to this select
group of stocks were dependent on continuous growth at a rapid
rate, which becomes more and more impossible as the numbers
become larger. Indeed, it would appear that the margin of safety
existed in going short a basket of Nifty 50 stocks as there wasn ’ t any
margin of safety at a P/E of 37. The severe market downturn of
1972 to 1974 brought devastation to Nifty 50 stock valuations and
taught investors that price does matter and that people can pay too
much for even the soundest of companies.
This lesson didn ’ t last long; the technology mania ushered in
a reincarnation of the Nifty 50 episode. This time, the Nifty 50 was
replaced by the NASDAQ 100 Index. Whereas the Nifty 50 epi-
sode consisted of the best - of - best businesses with long records of
operating history — including Polaroid, McDonald ’ s, and Johnson &
Johnson — the NASDAQ 100 included new start - ups with little or no
operating history to speak of. Clearly, investors had forgotten the
lessons learned in the early 1970s because the valuations afforded to
this new group were extraordinary. At the height of the tech bubble
in 2000, many fl y - by - night businesses were trading at astronomical
valuations without any fundamentals to back them up. In February
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