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Let’s talk about what took place on the flash crash back in 2010. MARTIN: I guess I wish I knew how important — I wish I knew how important the role of the programmer was going to become in financialmarkets. RITHOLTZ: That’s interesting. Let’s talk about some of those. These are all old data systems.
ANAT ADMATI, PROFESSOR OF FIANCE AND ECONOMICS, STANFORD GRADUATE SCHOOL OF BUSINESS: So, my journey starts where I took a lot of math. I was good in math and I love the math. So, I was kind of, in my romantic mind when I was in my early 20s, I was going to take but not give back to math, that kind of thing. ADMATI: Yes.
The New Normal It is difficult for investors and individuals alike not to have been directly impacted by the rapid rise in inflation in 2021 and 2022, the succeeding interest rate hikes by global central banks and the ensuing effects these economic events have had on financialmarkets, including the mortgage market.
First of all, I think the amount of investors that participate in the financialmarkets is much smaller than it is in the U.S. And I think that the financial advisors are used, but not as widely used as they are in the U.S. And definitely, their retail market participation is significantly lower than you can see in the U.S.
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. We ended up buying, this is one of the wonderful things about financialmarkets and degrees of completeness.
Following the financial crisis and the Fed cutting rates, economy and the market starts recovering in late 2009 and then 2010 and we kept hearing from a lot of different value corners, hey, everything is richly priced. Let’s talk a little bit about the pushback to low expected returns. Bonds are the most expensive.
NADIG: And trying to help people understand what that means for next week, and the next year, and the next decade, to position products underneath it, like ETFs in 1992, or model portfolios in 2000, or direct indexing in 2010. I read all those academic papers, I understand where the math comes from. It’s how math works.
I’d been ranked i i back in the seventies, if you can do the math. And then it turns out, you know, the market, if you go from 91 forward market just sort of went up and business was good and it was good basically until maybe 2010. You had the bull market in the nineties. 00:24:22 [Speaker Changed] Right on.
So how Barry Ritholtz : Do you go from a PhD program to financial engineering masters? Jeffrey Sherman : Well, what it was was, so I, as I said, with applications, there’s many applications of math, and the usually obvious one is physics. Barry Ritholtz : It seems that some people are math people and some people are not.
That’s because, at best , complex systems – from the weather to the markets – allow only for probabilistic forecasts with very significant margins for error and often seemingly outlandish and hugely divergent potential outcomes. So far, since 2010, solar energy has outperformed every single prediction. billion users.
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