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How to Kill a Black Swan Remy Briand and David Owyong ...

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Figure 2<br />

Stages Of Booms And Busts<br />

Housing 2002–2009? S<strong>to</strong>cks 1995–2000<br />

Displacement Low interest rates, subprime mortgages Internet <strong>and</strong> Web<br />

Mortgages drove prices up, higher prices Rising s<strong>to</strong>ck prices respond <strong>to</strong> Internet<br />

Positive Feedback Loops<br />

raised expectations, opened path for moreaggressive<br />

mortgages<br />

Euphoria: Irrational exuberance<br />

Home prices don’t go down<br />

Productivity gains <strong>and</strong> low inflation<br />

convince people the Internet is real<br />

Speculative Mania: Feeds on<br />

Rising dem<strong>and</strong> for MBS <strong>and</strong> securities<br />

AOL Time Warner merger<br />

itself <strong>and</strong> departs from reality<br />

built on MBS<br />

Crisis FNM, FRE, LEH March 24, 2000 … S&P 500 at 1527<br />

many other s<strong>to</strong>ries that fit the same pattern.<br />

The markets, however, are only half the game. The<br />

rest is how we reacted <strong>to</strong> market events <strong>and</strong> why we<br />

bought in<strong>to</strong> the idea that home prices would never fall.<br />

A common question one hears from inves<strong>to</strong>rs is why<br />

financial advisers <strong>and</strong> analysts didn’t realize what was<br />

happening <strong>and</strong> predict the downturn. A less common<br />

question one hears a few people asking themselves is<br />

why they didn’t realize what was going on <strong>and</strong> anticipate<br />

the collapse. Very few people think back <strong>to</strong> how they<br />

felt in 2006 as the housing boom was peaking, or what<br />

they were feeling in 2002 as it was getting under way.<br />

Why Didn’t Anyone Notice?<br />

Let’s begin with 2002. The bear market that started<br />

in March 2000 was bot<strong>to</strong>ming out in the last quarter of<br />

2002, the economy was creeping out of a shallow recession<br />

<strong>and</strong> many were still nervous about global politics<br />

after the events of Sept. 11, 2001. Inves<strong>to</strong>rs were worried,<br />

<strong>and</strong> no one expected the housing boom. Indeed, not<br />

many even expected the market <strong>to</strong> recover from a 50 percent<br />

loss in only five years. Between fear <strong>and</strong> greed, fear<br />

ruled the day. Yet both the s<strong>to</strong>ck <strong>and</strong> housing markets<br />

were at a bot<strong>to</strong>m, <strong>and</strong> were about <strong>to</strong> surge upward.<br />

Now, consider the summer of 2006, when housing<br />

was peaking. Inves<strong>to</strong>rs’ attitudes were completely different.<br />

The economy was growing, s<strong>to</strong>cks were gaining<br />

<strong>and</strong> the S&P 500 had risen from under 800 <strong>to</strong> over 1200<br />

since the fall of 2002. The big news was in housing,<br />

where home prices were up sharply, with some sunbelt<br />

cities seeing prices over twice the levels of early 2000.<br />

The last thing on most inves<strong>to</strong>rs’ minds was a collapse.<br />

Between fear <strong>and</strong> greed, greed ruled the day.<br />

Figure 3 shows the Kindleberger boom-bust cycle<br />

Figure 3<br />

2002<br />

Perceived Risk<br />

The Risk Cycle<br />

Greed<br />

Mid-2006<br />

Markets & the Economy<br />

Perceived Risk<br />

Fear<br />

2009<br />

seen in Figure 1 <strong>and</strong> adds a second line illustrating the<br />

level of risk that inves<strong>to</strong>rs perceived. In 2002, when fear<br />

ruled the day, people saw very large risks; in 2006, when<br />

greed dominated, perceived risks were small. The track<br />

of apparent risk is just the opposite of the market—at<br />

market bot<strong>to</strong>ms we see huge risks, while at market <strong>to</strong>ps<br />

we are incredibly bullish.<br />

A large part of risk management is knowing if a particular<br />

risk is justified by the opportunity of reward. In<br />

the markets, as in most things, the size <strong>and</strong> probability<br />

of the reward varies with time <strong>and</strong> conditions. Yet the<br />

way most of us think about the markets gets the timing<br />

<strong>and</strong> probability of success backwards. There is more <strong>to</strong><br />

investing than reason <strong>and</strong> numbers when everyone else<br />

is paralyzed with fear. The trick is <strong>to</strong> recognize when<br />

the madness of the crowd is prodding you <strong>to</strong> believe in<br />

the popular delusions.<br />

Endnotes<br />

1. Walt Kelly, car<strong>to</strong>onist, in 1971 commenting on Earth Day <strong>and</strong> pollution<br />

2. Charles MacKay, “Memoirs of Extraordinary Popular Delusions <strong>and</strong> the Madness of Crowds,” 1841<br />

3. 1978; 5th edition 2005, John Wiley & Sons, Inc.<br />

www.journalofindexes.com<br />

July/August 2009<br />

43

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