5 years ago, and yet so very precise. The problem is not which models to use to forecast Potential of Default, Loss Given Default, Exposure at Default; the issue at hand is how well the models can predict what can happen in the credit risk space based on scenarios from the past. As the speaker mentions, you need to constantly feed your AI model, but even that's not enough, you need to look at almost everything associated with credit including less tangible data and build that into the equation as well. For instance, before Cov-19, no lender had built a model containing the risk of there ever being such a situation. His example of Lehmann Brothers is also apt given the top minds failed to predict correctly on the economic downturn and how quickly things would get worse
Very good presentation for a general outlook and how to apply analitycs to finance, I just didn't like the last part about third world countries, "It's how they operate", it is true, but we are trying to improve that, and that's what I was hoping to find. But anyway, enlightning presentation. Thanks
5 years ago, and yet so very precise. The problem is not which models to use to forecast Potential of Default, Loss Given Default, Exposure at Default; the issue at hand is how well the models can predict what can happen in the credit risk space based on scenarios from the past. As the speaker mentions, you need to constantly feed your AI model, but even that's not enough, you need to look at almost everything associated with credit including less tangible data and build that into the equation as well. For instance, before Cov-19, no lender had built a model containing the risk of there ever being such a situation. His example of Lehmann Brothers is also apt given the top minds failed to predict correctly on the economic downturn and how quickly things would get worse
Very good presentation for a general outlook and how to apply analitycs to finance, I just didn't like the last part about third world countries, "It's how they operate", it is true, but we are trying to improve that, and that's what I was hoping to find. But anyway, enlightning presentation. Thanks
Brilliantly explained
They were working on LLM's on ID's problem. Hope they accomplished that.
Did somebody get the name of the presentor?
Marc Stein
It is so absolutely hilarious that using basic data is illegal. Because facts are so racist.
Have u ever heard of spurious relationship? Obviously not!