Transcript
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Podcast Disclaimer Narrator (0:31)
Important disclosure information at the conclusion of this episode.
Christine Benz (0:36)
Hi and welcome to the Longview. I'm Christine Benz, Director of Personal Finance and Retirement Planning for Morningstar.
Amy Arnott (0:43)
And I'm Amy Arnott, Portfolio Strategist for Morningstar.
Christine Benz (0:46)
Our guest on the podcast today is Lyle Fitterer, a senior Portfolio manager and co lead on the municipal bond sector for Baird advisors. He has 36 years of experience managing bond portfolios. Prior to Joining Baird in 2019, he served as the co head of Global Fixed Income and the head of the Municipal Fixed Income Team at Wells Fargo Asset Management. Lyle obtained his undergraduate degree in accounting from the University of North Dakota. He earned the Chartered Financial analyst designation in 1996 and is currently a member of the CFA Institute and the CFA Society of Milwaukee. Lyle, welcome to the Longview.
Lyle Fitterer (1:25)
Thanks for having me. Christine.
Christine Benz (1:27)
Thank you so much for being here. We wanted to harness your expertise in the municipal bond space today and talk about the muni market, which may be less familiar to some of our listeners. It's a massive market and we hear terms like fragmented and opaque to describe it. There are a lot of issuers and more than a million bonds. Can you talk about how the team there at Baird tackles investigating so many different municipal bonds on offer and doing your due diligence?
Lyle Fitterer (1:59)
Sure, and that's a great question. You're right, it is a large market, but from a size perspective, much smaller than the broader taxable market. So we like to think of it as a smaller pool but with a lot more fish in it. So in terms of success, we think it's one of the most inefficient markets out there. So the ability to add alpha as an active manager we think is enhanced because of that. So when we think about the market and how we go about tackling it, you know, our team is eight people, which, you know, a lot of times we'll get the question, well, how do you know eight people? How do they cover the entire market and there's, you know, really the. The answer to that, I think, is a couple of things, but the biggest one is, you know, through the use of technology. So when Dwayne McAllister and Eric and Joe, which were two other people he was working with at BMO, came over to Baird back in 2015 and really started up the muni business as it exists today, they had implemented a system which what we call is our credit scoring system. So what it effectively allows us to do is take all the obligors that we own, which is probably over 5,000 if you look across all of our different portfolios and really narrow it down into three different categories, what we call our strong category, our core category, and our watch category. So, and this is from a credit perspective in terms of, you know, what are the credits that we need to pay the most attention to and spend the most time on from a research perspective. And really what it does is it looks at historical default rates. It looks at, you know, different types of credit enhancement that may exist. So maybe you have a school district, but it's got a state school backing behind it. Maybe it's an insured bond, an escrow bond. You know, what state is it in? We look at the pension issues within the different states. You know, weaker states will assign a lower score to them. And ultimately, again, what it does is it takes all of our credits and it drops them down into those different buckets. So we go from roughly, say, 5,000 different obligors down to about 400 that are in that watch category. And that watch category doesn't necessarily mean that they're on watch list for downgrade. Just means, hey, we need to spend more time in this sector from an analytical perspective. But in all honesty, it probably represents the greatest amount of additional alpha that we can contribute because they tend to yield more. They have more total return potential. And so the other thing I think that differentiates us is everybody on the team also functions as an analyst. So throughout my career, we've always said that we wear three hats and that we have to do credit research. We have to think like a portfolio manager, and we have to think like a trader and think about relative value when we're analyzing securities. And I think that makes everybody better on the team. It allows us to cover the market more broadly. And so if you take those 400 credits, we now have eight people on our team. That's roughly 50 credits per person in that watch category. And that's how it allows you to conquer, I guess, that credit issue. The Other thing we do is we utilize technology in other ways. So we have a vendor provided system that we utilize to scrape all news sources across the country related to all the obligors that we own. So we may own a small obligor in the state of Missouri, let's say, and the local newspaper may pick up something. We get a feed every day that would give us the local story on what's going on with that credit. And it sounds a little weird, but it actually can provide at times a lot of good information in terms of, you know, a local credit and something that may get you out ahead of your competitors. The other thing is we don't have a dedicated high yield business. And that's where from a credit perspective that takes up the majority of your time. When you're looking at analyzing credits, those are very in depth credits. You need to spend a lot of time on it. So when we look across universe of managers, the ones that tend to have the largest number of analysts also have a dedicated high yield business. Now I also want to go back and say we do look at all of our credits at least once a year we have a system that tells us the last time we reviewed a credit. And so it's not like we're not doing research, but we just don't think we can add a lot of value to analyzing say the state of Maryland relative to maybe other competitors. And the range of spreads that that's going to trade out in the market is going to be pretty tight. So again, don't spend necessarily a lot of time there. And then finally just other technology tools to make us more efficient in terms of analyzing bid lists, you know, calculating an option adjusted spread or an option adjusted duration on new issues, trade allocation, things like that.
