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Why Models Fail

 

QUESTION: Mr. Armstrong; Did AIG use the Black-Scholes Model and that is what created the crisis again in 2007?

WJ

ANSWER: No. It’s my understanding that AIG developed different models, they called a “Value-at-Risk Model,” (VaR) which used a binomial-expansion-technique to start valuing their positions. I believe the original model was developed at Moody’s. However, like the Black-Scholes Model, it too lacked depth. In model development, it is extremely complex.

Virtually every model created tends to be predominately flat with a minimum of dynamic variables lacking understanding of TIME. Then the testing period lacks the database reflecting all conditions. In the case of Black-Scholes, they back-tested only with data to 1971. If I created a model with only data from 2009 forward, then it would be biased to presume a bull market is normal in the stock market.

The Value at risk (VaR) model is a measure of the risk of investments. It estimates how much a set of investments might lose, given normal market conditions, in a set time period such as a day. VaR is typically used by firms and regulators in the financial industry to gauge the number of assets needed to cover possible losses. It obviously failed in 2007-2009 because once again it was not a “normal market condition” for it fails utterly to understand CONTAGION when sound assets are sold to raise cash for other assets that collapse. The assumption of the model is its own nemesis.

For example, if a portfolio of stocks has a one-day 5% VaR of $10 million, this actually means that there is a 5% probability that the portfolio will fall in value by more than $1o million over a one-day period if there is no trading.

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