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But the numbers you can’t argue with, I mean, we all know that the brutal math of investing before costs investors collectively will earn the market return after costs. You, you wrote at the journal through the.com implosion as well as the whole runup to 2000 September 11th, the great financial Crisis. I did it in 2000, 2002.
I’d say management consulting is any of the other thing that least at that time was the other career trajectory, just my personality, more of a math oriented introvert. In 2000, right. And actually Ben Inker is the head of our assetallocation group. We, we call assetallocation at GMO. Yeah, yeah.
I — I loved math, but really, I was going to go down that literature route more than anything else and — and study Spanish literature. And so, if you were someone who was sitting in cash, let’s say from like 2000 to 2010, you were earning on a real basis about three percent per annum. I was econ and kind of geeky.
00:03:14 [Mike Greene] So that was actually an outgrowth from my experience coming out of Wharton and you mentioned the, the, you know, the transition of people who tended to be skilled at math or physics into finance. The Russell 2000 has 2000 out of the roughly 3,500 stocks available publicly traded.
SETHI: Well, everybody thought they were a genius including me in 1999, 2000. Once you have your assetallocation dialed in, your automatic contributions dialed in, all the basics, then you can move on. Have I managed my assetallocation and my investment fees? It’s much deeper than math.
So there’s been a big push for folks to get the appropriate level of assetallocation in a highly diversified, low cost way. When you look at the 82 to 2000 bull market, something like 75% of those gains came not from earnings growth, but from multiple expansion. RITHOLTZ: Right. The 2010s were certainly the TINA decade.
And that’s, that’s the predecessor to Amherst, which we bought in 2000 and had been running it since then. So think about 2003 home prices had gone up a lot from 2000. So mortgage position in 2000 were way more valuable in 2003 than they were when they originated because they weigh less credit risk. Anything else?
And I, and I really like the application of math and statistics and computer science to markets. You learn the math that can help you with, with market making operations. And I think that helped fuel the smart beta boom of the 2000 tens. It’s just not smart on a math basis to do that. And I just caught the bug.
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