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It wasn’t because it has the secret to running a profitable eCommerce site or success in monetizing memberships a la its CEO’s alma mater, Amazon. Jet.com is not profitable and has no clear path to profits, critics say. But, don’t you worry, it’s all math-based so nothing can go wrong, so keep clinging to that.
He’s a loss leader.” We talked about Social Security and Medicare. Michael: And so, did you have to create the Social Security, Medicare presentation, and create the Social Security, Medicare mailers to get them to come to the presentation? ” Michael: And so, then what was the whiteboard flow?
I invest less because I’m interested in what widgets a company does, and more in the capital structure and how to position yourself, what the other guy is going to do at the bond level or senior secured level, and how to position yourself to make money. It’s a matter of making better decisions and being more profitable.
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.
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.
Kount’s latest report “Calculating The 9 Deadly Costs Of Fraud,” does the math – and emphasizes how not managing fraud digs heavily into profits. In fact, fraud losses as an overall percentage of revenue nearly doubled in 2015 as a result of lost or stolen products, according to Kount.
So I think that resiliency piece, never giving up, never giving in, redefining, Barry, success as going from failure to failure without loss of enthusiasm, I think that’s everything. Import, export, finance, marketing, wholesale, retail, customer service, security, territory, logistics. My dad thought that cash flow was profit.
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. The visibility on earnings they grew but they stayed profitable as, as they grew. So big loss. A 99% loss on 1.1% So I took that. Real money.
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. So you come out of Villanova, you end up at first Boston in, in 1987 in the Special Situations Fund and Distressed Securities Group. 00:02:16 [Speaker Changed] Me too.
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.
Sean Dobson has really had a fascinating career as a real estate investor, starting pretty much at the bottom and working his way up to becoming a investor in a variety of mortgage backed securities, individual homes, commercial real estate, really all aspects of the finding, buying and investing in, in real estate. Anything else?
And, you know, therein began, I think the unraveling and, and a little bit of the, the loss of that, you know, cultural juice that had kind of historically made that firm special. 00:31:40 [Speaker Changed] So there’s the emotions and then there’s the math, right? I don’t wanna experience loss. Just extreme.
But within the market, the so-called security markets line is pretty much entirely flat and has been in sample and out of sample for a ridiculously long amount of time, in a ridiculously large amount of places. ASNESS: Some of the things like betting against beta, quality or profitability, carry strategies were additions over time.
So, I did the math, 20 million times a hundred. So, let me just repeat the math. And so, again, I went through this simple math. BROWDER: And I’ll just point out that this was back in the days when $100 million profit is real money. How many do you have in your fleet? It is $2 billion on the ship. RITHOLTZ: Wow.
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. And I just caught the bug. Become options market makers. You learn the technology.
I was hired to cover, I think, securities litigation or insurance regulation, something like truly technical and awful. 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.
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. He knows how to manage risk, and he knows how to trade for a profit for a p and l. And that’s how we created the securities division. We now had the securities business.
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. The, the math came easier. And I really hated physics, really. It’s so true.
So when I was at this very fancy private school that I was at as a kid, I did math because it gave me a huge amount of free time to do the things I really cared about. But when I got to Cambridge, you know, the math was sort of serious there. So, you know, I took my math into statistics and things. Am I getting right?
And whether they were producing new ideas about the economic analysis of law or new ideas about what freedom means or new ideas about the securities law, it was like, it was electric. SUNSTEIN: In Chicago, and it was about social security law and anti-poverty law. It was like Paris. And that was one of my courses. RITHOLTZ: In Chicago.
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