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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. However, he said firms get comfortable with the technology once they see that they can access, build and deploy AI/ML underwriting models that meet all compliance and regulatory hurdles.
But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much creditrisk you’re taking, illiquidity, et cetera. And how do you make the decision, I’m not comfortable with this creditrisk relative to the return it’s going to throw off?
Let me say what your compliance wouldn’t allow you to say. The challenge is unlike the S&P 500, hedge funds sit in a box that has underlying creditrisk from prime brokers. So the credit markets froze. And at the time, I was managing Protege Partners as a hedge fund of funds. RITHOLTZ: You were crushing it.
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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