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That thru-line concerns this external body – the central banks – which can effectively manufacture money, and how this money, just by sheer mass momentum and the players involved, goes disproportionately to financial markets relative to the real economy. That’s just the math. The remaining money was leveraged into the financial system.
The engineering background, he said, enables him to speak the math- and jargon-heavy language employed by many of the company’s clients, and to make sure his own employees don’t try to pull one over on him. “It Such data can also help device and equipment manufacturers improve their products and offerings.
The engineering background, he said, enables him to speak the math- and jargon-heavy language employed by many of the company’s clients, and to make sure his own employees don’t try to pull one over on him. “It Such data can also help device and equipment manufacturers improve their products and offerings.
So, whether you’re interested in learning about how John has grown and scaled his firm through a niche focus of layoff transitions, how John has leveraged virtual workshops to engage with even more companies across the U.S., Stop talking to people at the manufacturing plant.” I had the opportunity to do a layoff.
Walmart Pay comes to market with a few built-in advantages: it leverages the Walmart.com app, which is used by 20M+ people roaming around their stores each month, it works on every sort of smartphone out there, and they control the POS in all of their stores, just like Starbucks does. Next time, guys? SMB Working Capital.
And I did a lot of options math, which I thought was interesting. So I had some experience in Africa that was able to leverage for this role. Which was interesting because I actually started my career at JP Morgan Asset Management in the high yield and investment grade credit research team. And I just learned a tremendous amount.
But that means if you’re in a company that, at the end of the day, manufactures product, the people in those groups tend to be people that move a lot of the product because that’s the business of the company. And you start doing the math of the staff, and you’re like, “I can hire people for less than this.”
I was always good at math, but I really, I just didn’t relate to things that were more esoteric bonds options. All kinds of residential, retail data centers, industrial manufactured housing, seniors, housing, you name it. What better investment outcomes could we have by leveraging our data? I have no family history.
Number one, manufacturing has been strong in the Southeast for a number of years. And so you see a lot of car manufacturers operating down there. And so when you think about, you know, the south and you think about industries that are moving, it continues to be manufacturing and logistics. SHAW: A lot of car companies.
And I did the math, and I think at that point in time, roughly speaking, assets in ETS were roughly just 10 percent, 12 percent of assets in mutual funds and I was pretty convinced that that number was to increase significantly. I mean, I do think there is a market for leverage and inverse ETFs out there.
Out the investor went, proudly showing the world the newest innovation in clothing design and manufacturing all his own. He leveraged existing infrastructure and built on top of it. In concept. They used technology and computing power to create the framework for the payments ecosystem that now powers global commerce.
It’s that the, so that’s the core competency and it’s just leveraged into, if it’s a loan, if it’s a security backed by a loan, if it’s the actual estate itself. And I was always good at math and, and I had been writing code since I was in the sixth grade. But they’re few and far between.
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. They’d come into the pandemic incredibly leveraged, huge amounts of debt. He was right on the thesis.
We looked at everything from retail to nursing homes to hospitals to insurance companies to manufacturers. When you look at the history of the ’80s and even ’90s era LBOs, they seem to be a lot of lesser-known, not necessarily consumer-facing companies, transport and logistics and manufacturing.
They got a lot of leverage. Our industry not manufacturing? And I’m like, “Well, if Bob Shiller is putting on the seatbelts, maybe he’s done the math, maybe I should be wearing a seatbelt in the back of the car.” I mean, this is golden for them. They’ve been raising prices, though debt prices are the same.
You need to read all of the following article: “The flawed math behind Elon Musk’s Twitter deal – An overleveraged billionaire’s bid for an overvalued company may signal the last gasp in an age of magical thinking about markets” – Washington Post. Not everything is equal folks. And Rivian stock just tanked.
Wasn’t the Excel spreadsheet error, which changed their math. So we all try shoving what money we do have into the goods pipeline and goods have to be manufactured and shipped. But that generally involves leverage, right? I mean that was, that was the problem. The problem is Japan is running two 50%.
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