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On Wed, 5 Dec 2007, Jonathan King wrote:
This gives you a flavor of what's going on in the mortgage securities
markets:
http://www.portfolio.com/interactive-features/2007/12/cdo
From a statistical/probabilistic perspective, I think they are saying that
the investors were implicitly assuming independence of the elements of
their portfolio, thus they had achieved diversity and a degree of
protection afforded by the central limit theorem, but they were mistaken.
They were mistaken because all of these diverse elements were correlated
and the effective diversity (like effective sample size) was much smaller
than they thought.
Another example of failure due to dependence comes from the Challenger
space shuttle (or so I'm told). The O-rings failed due to cold
temperature, but this was not expected because people had been thinking
that they had sufficient redundancy in the system and the failure of one
or a few O-rings would not cause the shuttle to fail. If you have 90%
reliability, and 10 O-rings, and you need 6 to be working, the probability
that 5 or more O-rings will fail at once is given (they thought) by a
binomial distribution:
1 - binomial_cdf(4, 10, .1) = .0016
But that assumes independece of failures. If the stressor (cold in this
case) affects all O-rings equally and simultaneously, they become
completely dependent and the probability of catastrophic failure (5 or
more failing at once) is 10%, not 0.16% (that is, about 60 times greater
than predicted by the independence model). Oops.
Mike
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