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Michael: So, it sounds like part of the challenge was, you live in a large company environment where, as is common for a lot of them, they organized study groups of top advisors, of top producers, of those that are doing well and growing well, and driving the business profitably. In fact, we probably would have been much more profitable.
He’s a loss leader.” Leveraging Dinner Seminars And Third-Party Marketing Solutions To Rebuild A Client Base [50:11]. I could have worked more hours, I could have been even more efficient and effective in what I was doing. But it worked well enough to take me from, “Hey, you really should fire this guy.
And I found that subsegment really interesting because we did studies on kind of decision making biases, human biases like loss aversion and other biases that impact otherwise what should be rational decisions and make them less than rational. And I did a lot of options math, which I thought was interesting. Absolutely.
I’m good at math and science and you know, I always had an idea what go into business, but I felt that electrical engineering would be a good foundation. You know, I, it always, I I see different numbers all the time, so it’s always kinda like, who’s math if you will? 00:02:16 [Speaker Changed] Me too.
I — I loved math, but really, I was going to go down that literature route more than anything else and — and study Spanish literature. BITTERLY MICHELL: Not in leveraged, no, not at all, give more …. It’s late in the summer in 2022, markets sold off 22, 24 percent, recovered about half of those losses ….
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. So the actual source of profitability in that trade is not the level of the vix, but the shape of the vol surface.
And what was interesting was the first leveraged buyout of a public company happened when I was in graduate school. KLINSKY: In 1979, it was the first leveraged buyout of a public company. We had sold the family business, maybe buy another family business one day through a leveraged buyout. RITHOLTZ: That’s pretty safe.
And these were real bankruptcies, led by a supply-demand imbalance, too much leverage and not enough demand for the products. It’s a matter of making better decisions and being more profitable. That’s an amazing lesson in life, right, to take failure and losses as business as usual. MIELLE: Yes. MIELLE: It is money.
The ability to use an anonymous single currency to power a decentralized, permissionless distributed ledger operating over the public internet where miners compete to solve the math problems that enable the processing of transactions is a remarkable innovation. They buy tokens at a discount and resell them for big profits almost immediately.
ASNESS: Some of the things like betting against beta, quality or profitability, carry strategies were additions over time. ASNESS: And we had a great almost a decade, because everything else we do work, profitability one; fundamental, momentum one; low risk one. My mom was a math teacher so — RITHOLTZ: Okay.
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. It’s just not smart on a math basis to do that. This is implicitly leverage. Leverage is a tool that accentuates both the good and the bad.
And so, so we sort of felt pretty stupid for a while because we did a lot of losing trades in 2006 that were the, you know, that obviously didn’t come to fruition until the actual people could see the losses. So in mortgages, the borrower can stop paying maybe a year to two years before the lenders actually book a loss.
Ends up turning about $27 million of swap premiums into 2 billion plus in profit. I mean, you’re talking about, I don’t, I could do the math, it’s like a 10,000% return in like three weeks. And that’s sort of the math. They’d come into the pandemic incredibly leveraged, huge amounts of debt.
It’s, it’s no different But, but inherently in futures, a whole lot more leverage, a whole lot more risk. You’re doing a lot of math in your head on the Fly. I’m doing, I’m doing an awful lot of math in my head on the fly. And occasionally people are gonna argue about, Hey, who has this loss?
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