Remove Credit Risk Remove Economics Remove Math
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Zest AI CEO: Artificial Intelligence Is Reshaping Lending and Credit

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In this case, the “cake” is the improved performance and economics that many banks experience when they update systems that in some cases have been in place since the 1950s. “On On average, our customers will see a 20 percent lift in approvals and a 30 percent reduction in charge-offs just by deploying better math,” de Vere said.

Math 138
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Transcript: Kristen Bitterly Michell

Barry Ritholtz

And so, coming out of school, I studied Economics and Spanish Literature, and I applied to a — a program that actually targeted Liberal Arts majors. And so, with this gave me exposure to everything from investment banking to retail, looking at like checking account campaigns, like how do you get more assets in the door to credit risk.

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Transcript: Greg Davis, CIO Vanguard

Barry Ritholtz

So a variety of risk meetings, a variety of economic meetings. And you had to take on significant duration risk and credit risk just to earn a couple percentage points. It’s also being part of the senior team that runs Vanguard, the business of Vanguard, right? RITHOLTZ: Right. We believe in this.

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Transcript: Rick Rieder

Barry Ritholtz

But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much credit risk you’re taking, illiquidity, et cetera. And how do you make the decision, I’m not comfortable with this credit risk relative to the return it’s going to throw off?

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Transcript: Ted Seides

Barry Ritholtz

The challenge is unlike the S&P 500, hedge funds sit in a box that has underlying credit risk from prime brokers. So the credit markets froze. SEIDES: Yeah, I wouldn’t measure it in terms of economic returns. SEIDES: No, you’re right about the securities. RITHOLTZ: And that was problematic.

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Transcript: Sean Dobson, Amherst Holdings

Barry Ritholtz

And up until that moment in time, we didn’t spend a lot of time on credit risk in mortgages. We didn’t really have to model credit risk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the credit risk.

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Transcript: Jeffrey Sherman, DoubleLine

Barry Ritholtz

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.

Math 57