Slashdot Mirror
The Perils of Simplifying Risk To a Single Number
A few weeks back we discussed the perspective that the economic meltdown could be viewed as a global computer crash. In the NYTimes magazine, Joe Nocera writes in much more depth about one aspect of the over-reliance on computer models in the ongoing unpleasantness: the use of a single number to assess risk. Reader theodp writes: "Relying on Value at Risk (VaR) and other mathematical models to manage risk was a no-brainer for the Wall Street crowd, at least until it became obvious that the risks taken by the largest banks and investment firms were so excessive and foolhardy that they threatened to bring down the financial system itself. Nocera explores the age-old debate between those who assert that the best decisions are based on quantification and numbers, and those who base their decisions on more subjective degrees of belief about the uncertain future. Reliance on models created a 'false sense of security among senior managers and watchdogs,' argues Nassim Nicholas Taleb, who likens VaR to 'an air bag that works all the time, except when you have a car accident.'"
Indeed we did. And I think we came to the consensus that it was a load of bollocks.
Confucius say, "Find worm in apple - bad. Find half a worm - worse."
Is here any roleplayer that does NOT know how using an artificial value to describe "real" problems automatically leads to some people "playing the system" instead of playing the game?
Nobody here ever had a munchkin in his troupe? A powergamer? A minmaxer? Someone who learned the rules and immediately started to look for loopholes, how to play by the rules without actually taking them serious?
Now why did anyone think this would be different when real money is involved, and thus the incentive to abuse the rules way higher?
We used to have a Bill of Rights. Now, with the rights gone, all we have left is the bill.
Mmm. Herd instincts for the lose. But the few financial instituitions that stood against the headwinds are now reaping the rewards. For example, in the UK LTSB is taking over HBOS, despite the fact that HBOS was nearly twice LTSB's size at the height of the boom. The rational players are doing just fine.
[FUCK BETA]
Beyond the style of model, the trouble in finance is the feedback nature. If a big impressive model is developed to price an asset and all of the big boys buy in and use the model, then the model DOES describe the assets price. Because everyone is making decisions based on the model.
That's all great until reality intervenes. Then you have a bubble.
That sort of model feedback has always made finance seem "iffy" to me.
Use the Firehose to mod down Second Life stories!