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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.
I — I loved math, but really, I was going to go down that literature route more than anything else and — and study Spanish literature. The next question that you alluded to, which is really interesting about revenue and profits, how solid in inflation hedge are equities? BITTERLY MICHELL: … was — no, no.
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 I was a math nerd as a kid. They announced a $640 million loss and ouch. But if, if it has a history of not being profitable, you you really want to exclude that. Low price stock has historically had some very large concentrated positions. So big loss. And the value line has all these statistical patterns.
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. Bitcoin’s infrastructure is highly concentrated and not all that secure.
And most people think of Bill, his bread and butter business is activist, very concentrated stock investing, but he has a bit of a background in macro too, back from ’07, ’08, and he actually decides to do this in the credit markets, where spreads are incredibly tight. .” And that’s sort of the math.
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