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manufacturer, distributor, consumer processes.) When liquidation takes place, more often than not the corporation would be at a negative or loss on the resale of office chairs. Depending on tax rates and how the math works out, it could be more valuable for the business to donate their supplies (with a 1.5x
Breaking down the Math. Other examples are Lego using real time data to drive , revenue over the past few years, and the FP&A team at manufacturing company Chemours improving margins for industrial plants. As we learned from Lego, this can propel profits to a whole new level. How the Study was Conducted.
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.
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.
Out the investor went, proudly showing the world the newest innovation in clothing design and manufacturing all his own. The FBI reports that some $28 million in losses were reported to them in 2016, triple what they say they saw in 2015. They buy tokens at a discount and resell them for big profits almost immediately.
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.
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?
Ends up turning about $27 million of swap premiums into 2 billion plus in profit. RITHOLTZ: Manufacturing, Ford as an example, sure. 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. What led to that approach?
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.
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