Portfolio manager John Healy discusses his experience using New Constructs' investment research. The firm's data and modeling approach is contrasted with competitors like Holt Value Associates and EVA, with emphasis on data quality and rigor.
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I spent a lot of time talking about our product, explaining to you why it's unique and why it's different. But today I want to talk about our customers because they've got a lot of really great things to say. I want to share with you a few testimonials that are really special. One in particular, a former Holt Value Associates client. Holt is probably one of our largest competitors on the research side. Keep in mind, We really have competitors on 2 fronts, actual research and data providers or data gatherers, right? We do both and I believe that because we do both, we're better at both. We know what data to gather because we're actually using it. And we know what kind of models to build because we know what data is available. Most of our competitors on the research side, the Holts, EVA people of the world, most of those guys haven't looked at a 10-K in maybe 10 or 15 years, if ever. They don't know what they don't know, and they'll tell you that the copy stat data is good enough, because you know what, if it wasn't, they got zero business model. So I want you to hear it straight from the mouth of an investor, a portfolio manager named John Healy. He's in Atlanta, Georgia. He's used Holt, he's used AFG, he's used other services, and he loves what we do because he knows he can trust our numbers, because he spent a lot of time when he used these other services having to go through their numbers and make sure they were right. He doesn't have to do that with us. And let's keep in mind, it's important that the numbers are right. The model is only as good as the inputs. Garbage in, garbage out. Everybody in the financial business who's built models knows that saying. So it's important to make sure the data is right. There is no such model that can compensate for bad data. And I believe our models are the most sophisticated and best in the world because we are using so many different types of data. We have models that use models that use models. That's what you have to do when you're taking stuff from the footnotes. It's not ready to go make an adjustment on the income statement. Some of it is, but a lot of it isn't. It takes a lot of work, and we do it better than anybody in the world because our technology and our people are better than anyone else in the world. So don't just take my word for it. Let's listen to John Healy and listen and watch what John Healy has to say, and you can derive your own opinion. Thank you.
