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m3

here, here.

nassim taleb did an interview recently on bloomberg, where he compared this nonsense to early medicine: the products doctors used often ended up killing the patients.

many lives could have been saved if they just admitted that they didn't understand what they were doing. and in some cases, doing nothing would have been best for everyone.

i wish these econometric/quant guys would realize this. but as you said, their precious time can't be wasted with the wisdom that history teaches us.

at least we can be thankful that these men aren't doctors, because we'd all be dead.

Alex

This is a classic case of throwing out the baby with the bathwater.

Almost any model can be great in the right hands, and even the best model will produce garbage if the person using it doesn't know its limitations, assumptions, etc.

Joseph Weisenthal

Great post. I agree with the second commenter that there is almost certainly some value in models. But: They really do give the illusion that some of this stuff is hard science.

In real science, you can start off with certain premises, like the speed of light, or the rate of gravity or whatnot and be somewhat certain about what comes out. But as you state, when it comes to economics, the premises are much shakier. And yet it still looks like "science".

Ultimately, this is a good argument for the Austrian School of economics, and the notion that as much as possible, economic ideas should be expressed in verbal logic. And that if you can't express your ideas that way, then you should go back to the drawing board.

Vincent

In regards to throwing out the baby with the bath water, I agree that some models are necessary, in fact a model just means basically putting some math down into an excel sheet which surely is always needed to some degree. What I am ranting against is the widespread dependence on and confidence in complex excel models to do analysis and make decisions. I am also ranting against the widespread perception that in many cases using a complex model is more rigorous than a simple model, or just plain logic. I think many of these models actually trick very otherwise smart people into overestimating their accuracy. They start to see everything from the perspective of modeling which means they tend to stop thinking from other perspectives. In many cases I would argue that forecasting models are so full of potential error as to be better off left unused. With these high-error models you can be at best wasting your time and at worst leading yourself down a path of false assumptions which is worse than just not having a model to begin with. While some applications surely exist for models, there are tons of high profile applications out there which are riddled with error and qualify for garbage-in-garbage-out. I would bet that most stocks' financial forecasting models at major investment banks would fit this bill. The funny thing is that while many people will agree that they are garbage, substantial time and effort continues to be devoted to them and the extensive model-users continue to be seen as more intelligent and professional than the model-skeptics by the industry at large.

nick gogerty

models are the latin scriptures in the church of finance. Those who don't understand math just nod along, those who do, should be crying heresy.

Vincent

Haha, that's a great way of putting it.

Keith Hazelton

The last models to die will be FICO and other credit scoring models, the holy grails of the consumer finance industry.

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They start to see everything from the perspective of modeling which means they tend to stop thinking from other perspectives. In many cases I would argue that forecasting models are so full of potential error as to be better off left unused. With these high-error models you can be at best wasting your time and at worst leading yourself down a path of false assumptions which is worse than just not having a model to begin with.

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  • The Stalwart is a blog written by Joseph Weisenthal, covering such topics as stocks, business, economics, politics, technology, gambling, chess, poker, economics, current events, music, math, Chinese food, science, randomness, kurtosis, sports, evolutionary fitness, and anything else of the author's choosing. The words contained herein are the author's own, not affiliated with any other firm or employer.

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