1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,960 Speaker 1: at Bloomberg dot com slash podcast. You know, we talk 7 00:00:22,040 --> 00:00:24,400 Speaker 1: about real estate and the hot real estate market and 8 00:00:24,520 --> 00:00:28,080 Speaker 1: talk often about existing home sales, new home sales. But 9 00:00:28,080 --> 00:00:32,400 Speaker 1: how about the land underneath all that real estate? Jason Walter, 10 00:00:32,479 --> 00:00:35,960 Speaker 1: CEO of National Land Realty, he focuses on that. Jason, 11 00:00:36,000 --> 00:00:39,440 Speaker 1: thanks so much for joining us here again. We're it's 12 00:00:39,440 --> 00:00:42,280 Speaker 1: just been amazing during this pandemic, how strong the real 13 00:00:42,400 --> 00:00:46,519 Speaker 1: estate and housing market has been. How about the land market. 14 00:00:46,880 --> 00:00:49,960 Speaker 1: They're not making any more anymore land, So talk to 15 00:00:50,000 --> 00:00:53,440 Speaker 1: us about the land market. Sure, yeah, that's correct, that 16 00:00:53,640 --> 00:00:56,600 Speaker 1: makes any more of it. Uh. We've experienced exception on 17 00:00:56,720 --> 00:00:59,200 Speaker 1: great this year to the first half of the year, 18 00:00:59,200 --> 00:01:02,920 Speaker 1: our sales were hundred uh and last year we were 19 00:01:03,000 --> 00:01:09,960 Speaker 1: up thirty two since the pandemic April, since it began, 20 00:01:10,000 --> 00:01:12,960 Speaker 1: we we've just sky rocketed. Jason I don't want to 21 00:01:12,959 --> 00:01:14,440 Speaker 1: put you on the spot here, but you could help 22 00:01:14,480 --> 00:01:17,160 Speaker 1: me solve a bit of a debate in my relatively 23 00:01:17,240 --> 00:01:20,800 Speaker 1: new marriage. My husband would love to buy just a 24 00:01:20,800 --> 00:01:23,360 Speaker 1: ton of land down in Virginia or West Virginia and 25 00:01:23,480 --> 00:01:25,280 Speaker 1: not worry about buying a house. Just hold onto the 26 00:01:25,360 --> 00:01:27,480 Speaker 1: land and we can rent. I would rather save up 27 00:01:27,480 --> 00:01:30,680 Speaker 1: and buy a house. Is buying land a better investment 28 00:01:30,720 --> 00:01:34,319 Speaker 1: than buying a house in this market? Well, again, it 29 00:01:34,360 --> 00:01:36,920 Speaker 1: all starts with lands. That you can do both both 30 00:01:36,959 --> 00:01:41,320 Speaker 1: of you can be happy, okay. But but to answer 31 00:01:41,360 --> 00:01:45,560 Speaker 1: your question, yeah, the returns of land, Um, it's a 32 00:01:45,600 --> 00:01:48,200 Speaker 1: less followed to market. You know. After the last Great recession, 33 00:01:48,800 --> 00:01:53,200 Speaker 1: the timber and egg land rule what we consider rule land, 34 00:01:53,600 --> 00:01:57,440 Speaker 1: it outperformed the commercial sector for the first five years 35 00:01:57,960 --> 00:02:00,880 Speaker 1: after the downturn. It's it's less followed to it head 36 00:02:01,000 --> 00:02:05,400 Speaker 1: is really good against inflation. Both timber and and agg 37 00:02:05,440 --> 00:02:09,480 Speaker 1: about performed gold over the last several decades when it 38 00:02:09,520 --> 00:02:12,640 Speaker 1: comes to inflation. So right now is just a really 39 00:02:12,680 --> 00:02:16,680 Speaker 1: popular time to be buying land. So what kind of land? 40 00:02:16,760 --> 00:02:21,800 Speaker 1: I mean? Um, do I buy farmland? Timber ranch land? 41 00:02:21,960 --> 00:02:25,320 Speaker 1: I mean? What kind of land is? You know what 42 00:02:25,800 --> 00:02:28,880 Speaker 1: that you're recommending people take a look at. So it's 43 00:02:29,120 --> 00:02:32,040 Speaker 1: a good question because most people a segmentum we don't 44 00:02:32,080 --> 00:02:35,919 Speaker 1: typically detracts of land we sell incorporate three main components. 45 00:02:36,880 --> 00:02:42,280 Speaker 1: You're typically buying it h for recreational use, could be hunting, 46 00:02:42,360 --> 00:02:46,720 Speaker 1: could be camping, could be four wheeling. But as a 47 00:02:46,800 --> 00:02:49,400 Speaker 1: kind of a backup to your investment, it's typically going 48 00:02:49,440 --> 00:02:54,120 Speaker 1: to have some agriculture done on it and timber, so 49 00:02:54,240 --> 00:02:55,960 Speaker 1: you're you're kind of getting the best of all and 50 00:02:56,120 --> 00:02:59,640 Speaker 1: liveability a lot of there's a really nice wave of 51 00:02:59,639 --> 00:03:02,400 Speaker 1: people that are moving into more rural areas. You know, 52 00:03:02,440 --> 00:03:08,560 Speaker 1: only ninety percent of the US population who lives on 53 00:03:08,560 --> 00:03:13,800 Speaker 1: on yeah of the land. Yeah, Jason, it's so interesting. 54 00:03:13,840 --> 00:03:16,679 Speaker 1: I'm from the Washington, D c. Area, and every time 55 00:03:16,680 --> 00:03:19,320 Speaker 1: I go home, it seems that the sprawl has gone 56 00:03:19,440 --> 00:03:22,040 Speaker 1: farther and farther out from the city and now there's people, 57 00:03:22,440 --> 00:03:24,280 Speaker 1: you know, new developments going up that are like an 58 00:03:24,280 --> 00:03:28,320 Speaker 1: hour and a half commute into Washington is Land becoming 59 00:03:28,320 --> 00:03:31,840 Speaker 1: more valuable even at farther and farther out distances from 60 00:03:31,840 --> 00:03:36,600 Speaker 1: metropolitan centers. It is the way we track land is 61 00:03:36,600 --> 00:03:40,640 Speaker 1: is what we call development zones. Future development zones and 62 00:03:40,640 --> 00:03:45,480 Speaker 1: the rural land the urban areas. The development area that 63 00:03:45,560 --> 00:03:49,520 Speaker 1: only consists of three percent of the US land mass 64 00:03:51,280 --> 00:03:54,920 Speaker 1: of the U s Land is considered rule. So it 65 00:03:55,120 --> 00:03:58,160 Speaker 1: is treeping out into suburbs. You know, obviously the builders 66 00:03:58,200 --> 00:04:00,960 Speaker 1: are building a lot of new homes um and so 67 00:04:01,080 --> 00:04:03,960 Speaker 1: you're seeing that fringe pushed further and further out in 68 00:04:04,040 --> 00:04:06,960 Speaker 1: with there's a lot of reasons for that. But with 69 00:04:07,000 --> 00:04:10,160 Speaker 1: the with being able to be delivered to the mail, 70 00:04:10,400 --> 00:04:15,120 Speaker 1: with you know, all the technology it's available today, educational line, 71 00:04:15,560 --> 00:04:18,560 Speaker 1: it's a lot easier and things are more accessible to 72 00:04:18,640 --> 00:04:23,000 Speaker 1: live further out. Chason, I live in the most high, 73 00:04:23,080 --> 00:04:27,120 Speaker 1: highly dense UH state in the country, in New Jersey. 74 00:04:27,120 --> 00:04:29,520 Speaker 1: Where should I look in terms of other parts of 75 00:04:29,520 --> 00:04:32,560 Speaker 1: the country. If I wanted to add some land to 76 00:04:32,640 --> 00:04:34,560 Speaker 1: my portfolio, and I going to the south and I 77 00:04:34,640 --> 00:04:38,280 Speaker 1: going west, where am I going? Yeah? Two things about 78 00:04:38,320 --> 00:04:40,440 Speaker 1: that comments that are interesting. One, we just tired of 79 00:04:40,520 --> 00:04:43,839 Speaker 1: land broker in New Jersey. Here you go. I just 80 00:04:43,880 --> 00:04:48,120 Speaker 1: sold my house. I'm done. I'm like Elon Muskom. Very 81 00:04:48,120 --> 00:04:49,840 Speaker 1: few people in the US have to go more than 82 00:04:49,839 --> 00:04:51,919 Speaker 1: an hour to get into a pretty rural area. But 83 00:04:52,520 --> 00:04:54,680 Speaker 1: if you're looking at the entire country. You know, the 84 00:04:54,720 --> 00:04:58,240 Speaker 1: sun Belts obviously experience a lot of growth. On the 85 00:04:58,279 --> 00:05:02,320 Speaker 1: southeast is really booming. Um, that's probably where most of 86 00:05:02,360 --> 00:05:07,719 Speaker 1: the the business has taken place. All right. Interesting, Yeah, 87 00:05:08,400 --> 00:05:11,360 Speaker 1: there's some ideas for you exactly be a rancher, all right. 88 00:05:11,440 --> 00:05:13,599 Speaker 1: Jason Walter, thanks so much for joining us. Jason Walters, 89 00:05:13,600 --> 00:05:17,800 Speaker 1: CEO of National Land Realty. He is a graduate of 90 00:05:18,320 --> 00:05:21,400 Speaker 1: Clemson University. Enjoys watching football and his alma model. Maybe 91 00:05:21,440 --> 00:05:22,560 Speaker 1: not so much this year, a little bit of a 92 00:05:22,560 --> 00:05:25,640 Speaker 1: tough year for the Trevor Lawrence Clemson at tires. But Andy, 93 00:05:25,680 --> 00:05:27,520 Speaker 1: it's interesting again when we talk about it. I don't 94 00:05:27,520 --> 00:05:31,960 Speaker 1: even think about owning land. I think about owning houses 95 00:05:32,000 --> 00:05:35,080 Speaker 1: and stuff, right, But I guess to Jason's point, those 96 00:05:35,120 --> 00:05:38,559 Speaker 1: things aren't necessarily mutually exclusive, maybe especially in this market. 97 00:05:38,600 --> 00:05:39,800 Speaker 1: I mean, we have a great story out on the 98 00:05:39,800 --> 00:05:42,400 Speaker 1: Bloomberg terminal right now about how first time home buyers 99 00:05:42,520 --> 00:05:45,400 Speaker 1: like myself in theory, I can't get into the market 100 00:05:45,480 --> 00:05:48,280 Speaker 1: right now because prices have just risen to such an 101 00:05:48,279 --> 00:05:51,039 Speaker 1: extreme level. People are paying all cash. Maybe if you 102 00:05:51,080 --> 00:05:52,640 Speaker 1: can't go for it and buy the whole house, you 103 00:05:52,680 --> 00:05:54,640 Speaker 1: can buy a plot of land with the intention to 104 00:05:54,680 --> 00:06:01,320 Speaker 1: build later. Maybe that's kind of the backwards way into it. Well, Kayley, 105 00:06:01,320 --> 00:06:03,720 Speaker 1: when I was a sell side equity analyst, the two 106 00:06:03,760 --> 00:06:06,480 Speaker 1: meetings you had to get on your West Coast marketing 107 00:06:06,480 --> 00:06:09,960 Speaker 1: trip was Capital Group and TCW, both in l if 108 00:06:10,000 --> 00:06:13,000 Speaker 1: he didn't get those meetings on your schedule, my boss 109 00:06:13,040 --> 00:06:15,520 Speaker 1: won't even pay for the ticket. Tc WS. Big Brian 110 00:06:15,520 --> 00:06:18,400 Speaker 1: will and joins this group Managing director for TCWS Fixed 111 00:06:18,440 --> 00:06:21,440 Speaker 1: Income Group. Um, Brian, thanks much for joining us here. 112 00:06:21,480 --> 00:06:24,560 Speaker 1: We've had a little bit of a pickup in yield 113 00:06:24,640 --> 00:06:26,600 Speaker 1: out there. We had we kind of started the day 114 00:06:26,680 --> 00:06:29,640 Speaker 1: yesterday with the you know, the ten year that the 115 00:06:29,680 --> 00:06:32,600 Speaker 1: thirty year up, you know, ten basis points. What do 116 00:06:32,640 --> 00:06:35,000 Speaker 1: you make of what we're seeing in the rates market 117 00:06:35,160 --> 00:06:39,560 Speaker 1: right here? Yeah, you know, it's interesting. Thanks for that introduction, 118 00:06:39,560 --> 00:06:42,640 Speaker 1: Paul um In that uh, you know, we we had 119 00:06:42,760 --> 00:06:46,040 Speaker 1: such kind of high employment numbers, positive employment numbers for months, 120 00:06:46,080 --> 00:06:48,479 Speaker 1: we had very high, you know, inflation numbers, and then finally, 121 00:06:48,720 --> 00:06:51,160 Speaker 1: why don't you get into September, we actually have an 122 00:06:51,200 --> 00:06:54,440 Speaker 1: underwhelming employment number and an inflation number that comes and 123 00:06:54,480 --> 00:06:57,080 Speaker 1: blow expectations. And then it's only two weeks after that 124 00:06:57,080 --> 00:06:59,520 Speaker 1: that the market starts to sell off, which kind of 125 00:06:59,520 --> 00:07:02,240 Speaker 1: tells you the mark the waiting on the economic numbers 126 00:07:02,279 --> 00:07:03,840 Speaker 1: from the at least on the bond market, it's not 127 00:07:03,920 --> 00:07:06,520 Speaker 1: what it historically is. And really the bond market saying 128 00:07:06,520 --> 00:07:08,800 Speaker 1: it's more focused on you know, the reopening and the 129 00:07:08,800 --> 00:07:11,240 Speaker 1: pandemic and what's going on with Delta, etcetera. And then 130 00:07:11,920 --> 00:07:14,520 Speaker 1: and so what you've seen is a sell off, although 131 00:07:14,520 --> 00:07:16,760 Speaker 1: it's it's a little different than what we saw early 132 00:07:16,800 --> 00:07:17,920 Speaker 1: in the year. You know, we had a big sell 133 00:07:17,960 --> 00:07:21,360 Speaker 1: off in the first quarter. Rates jumped higher. This time around, 134 00:07:21,440 --> 00:07:23,880 Speaker 1: it's being led by the short end. Uh And actually, 135 00:07:24,320 --> 00:07:26,040 Speaker 1: you know, while the two year in the five year 136 00:07:26,120 --> 00:07:28,680 Speaker 1: are are kind of at their highs in terms of 137 00:07:28,760 --> 00:07:31,200 Speaker 1: rates on the year, the ten uere in the thirty year, 138 00:07:31,280 --> 00:07:33,080 Speaker 1: the long end of the curve is actually still about 139 00:07:33,120 --> 00:07:36,840 Speaker 1: twenty thirty basis points lower than we saw back in March. Yeah, 140 00:07:36,880 --> 00:07:38,680 Speaker 1: I feel like now we're much more focused on on 141 00:07:38,720 --> 00:07:41,480 Speaker 1: the belly rather than the long end. So in this 142 00:07:41,560 --> 00:07:44,840 Speaker 1: kind of environment where yields are higher than they were 143 00:07:44,880 --> 00:07:47,840 Speaker 1: but still low historically around one and a half percent, 144 00:07:47,960 --> 00:07:52,200 Speaker 1: can you be a buyer of bonds? Well, I think 145 00:07:52,400 --> 00:07:53,760 Speaker 1: the answer, that's what do you want it to be 146 00:07:53,760 --> 00:07:56,200 Speaker 1: in your portfolio? I mean, you can't. Look. The nice 147 00:07:56,200 --> 00:07:58,320 Speaker 1: thing about a discussion about bonds is it's pretty much 148 00:07:58,360 --> 00:08:01,000 Speaker 1: just math. Uh. In you know, you're looking at you know, 149 00:08:01,120 --> 00:08:04,120 Speaker 1: yields of of one and a half percent, even if 150 00:08:04,120 --> 00:08:05,880 Speaker 1: you move out of treasuries and you buy you know, 151 00:08:05,960 --> 00:08:08,640 Speaker 1: investment grade corporate bonds, maybe you're talking two and a 152 00:08:08,720 --> 00:08:10,240 Speaker 1: quarter or two and a half percent, and even like 153 00:08:10,280 --> 00:08:12,600 Speaker 1: the lowest quality bonds out there. You know, you're talking 154 00:08:12,600 --> 00:08:15,040 Speaker 1: about the high yield bonds. You know, brace yourself. You're 155 00:08:15,040 --> 00:08:18,240 Speaker 1: talking about a four percent yield um on that market. 156 00:08:18,280 --> 00:08:20,840 Speaker 1: So there there isn't a lot there obviously, But at 157 00:08:20,840 --> 00:08:22,640 Speaker 1: the on the flip side, you know it should just 158 00:08:22,680 --> 00:08:25,440 Speaker 1: be part of an investor's portfolio, whether it's a you know, 159 00:08:25,560 --> 00:08:29,360 Speaker 1: individual or an institution. Um and look at one and 160 00:08:29,440 --> 00:08:32,880 Speaker 1: a half percent um. If we get a dramatic sell 161 00:08:32,920 --> 00:08:34,760 Speaker 1: off in the equity markets and and you know they 162 00:08:34,800 --> 00:08:39,679 Speaker 1: go down by more likely than not, you're gonna see 163 00:08:39,720 --> 00:08:41,960 Speaker 1: bonds rally. Uh. And the math would tell you that 164 00:08:41,960 --> 00:08:43,800 Speaker 1: if you got you could still get a good solid 165 00:08:43,840 --> 00:08:46,320 Speaker 1: hundred basis point rally in the bond market, which would be. 166 00:08:46,360 --> 00:08:47,920 Speaker 1: You know, it would probably put your piece of your 167 00:08:47,920 --> 00:08:50,880 Speaker 1: bond portfolio up about seven eight percent. And you know, 168 00:08:51,000 --> 00:08:53,920 Speaker 1: on an absolute basis that does not sound all that interesting, 169 00:08:54,320 --> 00:08:56,480 Speaker 1: But on a relative basis, relative to what's going to 170 00:08:56,559 --> 00:08:58,640 Speaker 1: happen in your equity portfolio, you could still play a 171 00:08:58,720 --> 00:09:02,120 Speaker 1: role for you. Ryan talked us about credit quality. UM, 172 00:09:02,280 --> 00:09:05,439 Speaker 1: I mean, you guys see everything out there. I haven't 173 00:09:05,480 --> 00:09:09,360 Speaker 1: heard much about a real credit quality issues either from 174 00:09:09,400 --> 00:09:11,800 Speaker 1: the big banks on the report earnings. Uh. Is that 175 00:09:11,920 --> 00:09:14,960 Speaker 1: simply because we had the fedback stopping everything and we 176 00:09:14,960 --> 00:09:18,120 Speaker 1: had fiscal stimulus every time we we we we turned around? 177 00:09:18,200 --> 00:09:20,360 Speaker 1: Is that kind of the story? Are? Is there no 178 00:09:20,400 --> 00:09:23,000 Speaker 1: real risk there? There's not enough time in your program 179 00:09:23,080 --> 00:09:27,760 Speaker 1: to talk about that? Is to your direct question, I'd say, yeah, 180 00:09:27,960 --> 00:09:30,360 Speaker 1: let's two ways to measure credit quality, kind of observed 181 00:09:30,400 --> 00:09:33,360 Speaker 1: credit quality, And by that I mean like, how are 182 00:09:33,640 --> 00:09:36,960 Speaker 1: um let's say, borrowers default thing, uh, consumers let's say 183 00:09:37,000 --> 00:09:39,040 Speaker 1: on credit cards, like what's the loss rate and it's 184 00:09:39,080 --> 00:09:41,000 Speaker 1: at all time lows? Or let's say like in the 185 00:09:41,040 --> 00:09:43,760 Speaker 1: corporate bond market, even in the high yield market, the 186 00:09:43,800 --> 00:09:46,520 Speaker 1: leverage finance market. UM, let's say, look over the last 187 00:09:46,520 --> 00:09:49,520 Speaker 1: twelve months, like, what's the default behavior? How often are 188 00:09:49,559 --> 00:09:51,880 Speaker 1: they not paying you know, the debt that comes due? 189 00:09:52,400 --> 00:09:55,240 Speaker 1: Really again at all time lows, I think historical trailing, 190 00:09:55,320 --> 00:09:58,360 Speaker 1: historical default rates is less than one percent. And so 191 00:09:58,360 --> 00:09:59,720 Speaker 1: so if you if you, if you want to look 192 00:09:59,720 --> 00:10:02,120 Speaker 1: back words, it's never been a better time to to 193 00:10:02,200 --> 00:10:03,840 Speaker 1: kind of lend or be, you know, invest in the 194 00:10:03,840 --> 00:10:06,360 Speaker 1: credit side of the fixed income market. But on a 195 00:10:06,440 --> 00:10:10,240 Speaker 1: forward looking basis, I can tell you that, first of all, 196 00:10:10,240 --> 00:10:13,080 Speaker 1: which mentioned earlier, you're not getting paid to take a 197 00:10:13,080 --> 00:10:15,079 Speaker 1: lot of risk right now in the bond market, right 198 00:10:15,240 --> 00:10:18,240 Speaker 1: whether inspiration or whether it's credit. And then kind of 199 00:10:18,280 --> 00:10:22,600 Speaker 1: the implicit credit quality that has deteriorated significantly. It is, 200 00:10:22,960 --> 00:10:25,720 Speaker 1: without a doubt a a borrow or friendly market, meaning 201 00:10:25,760 --> 00:10:28,439 Speaker 1: that whether you're a person UM or particularly if you're 202 00:10:28,440 --> 00:10:31,960 Speaker 1: a company or even a even a country, a sovereign nation, um, 203 00:10:32,040 --> 00:10:34,040 Speaker 1: the terms of which you can borrow, not just the rates, 204 00:10:34,320 --> 00:10:36,760 Speaker 1: but the terms around let's say like the covenant quality, 205 00:10:36,840 --> 00:10:39,680 Speaker 1: let's say UM is as friendly as it's ever been. 206 00:10:39,720 --> 00:10:41,800 Speaker 1: And so what that means is, you know, at some 207 00:10:41,880 --> 00:10:44,200 Speaker 1: point in the future that's going to come back to 208 00:10:44,280 --> 00:10:48,440 Speaker 1: kind of bite bond investors um for that type of lending. UM. 209 00:10:48,480 --> 00:10:50,920 Speaker 1: And those question is obviously it always is, is when 210 00:10:50,960 --> 00:10:54,600 Speaker 1: does that trigger occur? Uh? And that all that kind 211 00:10:54,600 --> 00:10:58,440 Speaker 1: of poor credit quality come back to to hurt bond investors. Brian, 212 00:10:58,640 --> 00:11:02,000 Speaker 1: just quickly on spurs. We're still sitting around two five 213 00:11:02,080 --> 00:11:04,480 Speaker 1: basis points for high yield spreads. Have we seen the 214 00:11:04,520 --> 00:11:08,400 Speaker 1: tights of this particular credit cycle? Is it only wider 215 00:11:08,440 --> 00:11:12,120 Speaker 1: from here? Hard to say. I mean, look, you know 216 00:11:12,559 --> 00:11:15,720 Speaker 1: everyone is so starved for for yield and for income. 217 00:11:15,760 --> 00:11:18,280 Speaker 1: I mean, that's that's really that was the objective, right, 218 00:11:18,360 --> 00:11:20,240 Speaker 1: you know of the FED kind of you know, it's 219 00:11:20,240 --> 00:11:23,520 Speaker 1: it's a repression. UM. So you know, we hit a 220 00:11:23,520 --> 00:11:26,600 Speaker 1: little early in the year two basis points of spread. 221 00:11:26,640 --> 00:11:29,320 Speaker 1: You know, we're at two eight five today. UM. I think, 222 00:11:29,400 --> 00:11:31,679 Speaker 1: way way way back when before the credit crisis. At 223 00:11:31,679 --> 00:11:33,360 Speaker 1: one point, I think we hit about two and a quarter. 224 00:11:33,640 --> 00:11:36,319 Speaker 1: That was the all time low. So look, if we 225 00:11:36,400 --> 00:11:41,000 Speaker 1: sit in this very kind of tight monetary controlled environment 226 00:11:41,080 --> 00:11:44,360 Speaker 1: where you know, effectively the FED doesn't let um financial 227 00:11:44,360 --> 00:11:47,600 Speaker 1: conditions deteriorate and volatility to pick up, and we let 228 00:11:47,679 --> 00:11:50,480 Speaker 1: we we stayed in this environment for another year, Sure, 229 00:11:50,760 --> 00:11:53,720 Speaker 1: I think we could breach to um. But but that's 230 00:11:53,760 --> 00:11:56,120 Speaker 1: the question, right, you know, could they actually contain it? 231 00:11:56,280 --> 00:11:58,800 Speaker 1: You know, if let's say, let's say the Fed blanks 232 00:11:58,920 --> 00:12:00,680 Speaker 1: you know, or that you know, they the playing this 233 00:12:00,720 --> 00:12:03,080 Speaker 1: game of kind of almost like chicken with inflation, right, 234 00:12:03,120 --> 00:12:06,000 Speaker 1: and if what if the fled finches flinches first, you know, 235 00:12:06,040 --> 00:12:08,120 Speaker 1: they get into next year and they're not so confident 236 00:12:08,120 --> 00:12:10,520 Speaker 1: in the transitory narrative, and then it starts to maybe 237 00:12:10,760 --> 00:12:13,480 Speaker 1: increase interest rates a little sooner than the markets expects. 238 00:12:13,760 --> 00:12:15,920 Speaker 1: That would be all that might be a trigger. We'll 239 00:12:15,960 --> 00:12:17,760 Speaker 1: pay attention to that certainly. Brian Will and thanks so 240 00:12:17,840 --> 00:12:20,439 Speaker 1: much for joining US Group Boundaging Director for TCWS Fixed 241 00:12:20,440 --> 00:12:25,520 Speaker 1: Income Group. Well, there's a lot going on down in Washington, 242 00:12:25,600 --> 00:12:28,800 Speaker 1: DC right now. From a legislative perspective. We've got infrastructure, 243 00:12:28,800 --> 00:12:32,720 Speaker 1: we've got spending plans, we've gotta keep the government going on. 244 00:12:32,840 --> 00:12:36,560 Speaker 1: Just in terms of day to day operations. What's going 245 00:12:36,600 --> 00:12:39,080 Speaker 1: on as it relates to the markets. How should we 246 00:12:39,120 --> 00:12:42,200 Speaker 1: think about this? Michael Jesus, chief US public policy and 247 00:12:42,280 --> 00:12:46,040 Speaker 1: municipal strategist for Morgan Stanley, a little firm here in 248 00:12:46,080 --> 00:12:48,960 Speaker 1: New York City, joins us. Michael, how are you framing 249 00:12:49,000 --> 00:12:51,880 Speaker 1: out in your mind as you talk to your clients 250 00:12:52,240 --> 00:12:55,439 Speaker 1: about how we should think about all of the variables 251 00:12:55,480 --> 00:12:59,480 Speaker 1: in Washington, d C. From a legislative perspective. Yeah, hey, 252 00:12:59,480 --> 00:13:03,160 Speaker 1: good morning. I think the more important debate at the 253 00:13:03,240 --> 00:13:06,160 Speaker 1: moment is the one about overall fiscal policies. So that's 254 00:13:06,200 --> 00:13:10,480 Speaker 1: the infrastructure bill and the reconciliation bill, kind of the 255 00:13:10,480 --> 00:13:14,280 Speaker 1: expansion of the social safety net, and there's some interesting 256 00:13:14,440 --> 00:13:16,760 Speaker 1: decision points this week. They tell you if the Democrats 257 00:13:16,800 --> 00:13:19,120 Speaker 1: are going to be able to go go big or 258 00:13:19,120 --> 00:13:22,720 Speaker 1: if they're gonna go small, And that to us is 259 00:13:22,760 --> 00:13:26,600 Speaker 1: important because I think the big option, which is our 260 00:13:26,679 --> 00:13:30,240 Speaker 1: base case, it's probably a necessary condition for rates to 261 00:13:30,280 --> 00:13:32,720 Speaker 1: continue to rise at the pace that they've been having. 262 00:13:33,240 --> 00:13:35,840 Speaker 1: Right now, we think the evidence points in the direction 263 00:13:35,880 --> 00:13:37,680 Speaker 1: that they're going to be able to go big, or 264 00:13:37,720 --> 00:13:40,959 Speaker 1: at least keep the possibility of going big alive, because 265 00:13:41,440 --> 00:13:44,959 Speaker 1: the option where they go small would probably require a 266 00:13:45,160 --> 00:13:48,440 Speaker 1: vote on the smaller bipartisan plan to go ahead without 267 00:13:48,600 --> 00:13:53,280 Speaker 1: a commitment on that larger reconciliation plan, and right now 268 00:13:53,320 --> 00:13:55,160 Speaker 1: that doesn't seem like it's going to be possible because 269 00:13:55,200 --> 00:13:58,240 Speaker 1: House Progressives has effectively said they're going to hold their 270 00:13:58,320 --> 00:14:00,760 Speaker 1: votes on the smaller bill. Well, the Michael, the House 271 00:14:00,840 --> 00:14:04,120 Speaker 1: is one thing, and the battle Pelosi is having to 272 00:14:04,160 --> 00:14:07,360 Speaker 1: wrangle her caucus, especially the progressive ones there. But in 273 00:14:07,400 --> 00:14:10,360 Speaker 1: the Senate, Joe Manchion Christ and Cinema have said, we 274 00:14:10,400 --> 00:14:12,200 Speaker 1: don't want to go big. Three and a half trillion 275 00:14:12,240 --> 00:14:14,560 Speaker 1: dollars is too large a price tag. So even if 276 00:14:14,559 --> 00:14:17,600 Speaker 1: the House does one thing, can going big make it 277 00:14:17,640 --> 00:14:21,480 Speaker 1: through the Senate. Well, I think that you've identified the 278 00:14:21,840 --> 00:14:24,480 Speaker 1: right tension here. It's not just about it's not just 279 00:14:24,560 --> 00:14:27,320 Speaker 1: within the House or within the Senate. It's actually across 280 00:14:27,320 --> 00:14:29,800 Speaker 1: both chambers and in many ways the groups that need 281 00:14:29,840 --> 00:14:33,480 Speaker 1: to come to an agreement or the House progressive and 282 00:14:33,520 --> 00:14:37,680 Speaker 1: the Senate moderates within the Democratic Party, and until there 283 00:14:37,800 --> 00:14:40,360 Speaker 1: is some type of agreement, and at this point, you know, 284 00:14:41,480 --> 00:14:45,120 Speaker 1: Speaker Pelosy herself, it's self evident that a big deal 285 00:14:45,160 --> 00:14:47,120 Speaker 1: won't be as big as the three and a half 286 00:14:47,160 --> 00:14:50,920 Speaker 1: trillion dollar reconciliation bill, but somewhere south of that, if 287 00:14:50,920 --> 00:14:54,400 Speaker 1: House Progressives and Senate moderates can agree on something like that, 288 00:14:54,440 --> 00:14:58,360 Speaker 1: you could see forward progress on the smaller bill this week. 289 00:14:58,600 --> 00:15:00,960 Speaker 1: But that doesn't seem to be there's no evidence so 290 00:15:01,000 --> 00:15:05,520 Speaker 1: far that that agreement is forthcoming, and therefore there's probably 291 00:15:05,560 --> 00:15:07,960 Speaker 1: still a fair amount of negotiation that has to happen, 292 00:15:08,360 --> 00:15:10,240 Speaker 1: and we think this will easily slip into the fourth 293 00:15:10,320 --> 00:15:13,680 Speaker 1: quarter and continue as a debate. Michael, as you talked 294 00:15:13,720 --> 00:15:16,600 Speaker 1: to your institutional investor clients, did they get a sense 295 00:15:16,640 --> 00:15:18,640 Speaker 1: of or did you get a sense of this is 296 00:15:18,680 --> 00:15:20,960 Speaker 1: just kind of how the sausage is made, it's business 297 00:15:21,000 --> 00:15:24,160 Speaker 1: as usual. Or do you sent from your clients that 298 00:15:24,200 --> 00:15:27,440 Speaker 1: they're saying, boy, this is problematic here. We can't even 299 00:15:27,480 --> 00:15:32,480 Speaker 1: agree on infrastructure. Here is there concern out there? Um? 300 00:15:32,920 --> 00:15:34,840 Speaker 1: I think if you're asking about as they're kind of 301 00:15:34,880 --> 00:15:38,320 Speaker 1: an existential concern about whether or not government is functioning. 302 00:15:38,360 --> 00:15:40,720 Speaker 1: I don't think that's the way most investors are are 303 00:15:40,720 --> 00:15:43,080 Speaker 1: thinking about it. They're thinking about whether or not this specific, 304 00:15:43,560 --> 00:15:46,280 Speaker 1: this specific set of decisions can happen. What is going 305 00:15:46,320 --> 00:15:48,720 Speaker 1: to be the impact to the debt and the death 306 00:15:48,720 --> 00:15:50,760 Speaker 1: sit and how is it going to play out? And 307 00:15:50,760 --> 00:15:55,240 Speaker 1: in that sense, this type of disagreement slow movement on 308 00:15:55,280 --> 00:15:58,600 Speaker 1: what would be a very substantially sized bill. Um, it 309 00:15:58,680 --> 00:16:00,440 Speaker 1: was a little bit of business as you will, and 310 00:16:00,480 --> 00:16:02,800 Speaker 1: it's frankly, I think if it were too completely collapse 311 00:16:02,840 --> 00:16:05,760 Speaker 1: and fail. That wouldn't also be that surprising to many investors, 312 00:16:05,800 --> 00:16:09,480 Speaker 1: because uh, it is I'd say generally the default assumption 313 00:16:09,560 --> 00:16:12,760 Speaker 1: that that DC doesn't get things done as opposed to 314 00:16:12,840 --> 00:16:16,760 Speaker 1: getting big, transformational things done. All Right, it would be 315 00:16:16,760 --> 00:16:19,400 Speaker 1: great if this were the only conversation that is having 316 00:16:19,440 --> 00:16:21,520 Speaker 1: to happen on Capitol Hill, but that is not the case. 317 00:16:21,560 --> 00:16:23,960 Speaker 1: We have the potential government shutdown coming at the end 318 00:16:23,960 --> 00:16:26,320 Speaker 1: of the week if a continuing resolution isn't passed. They've 319 00:16:26,360 --> 00:16:30,240 Speaker 1: separated out raising the debt ceiling from that since Republicans 320 00:16:30,320 --> 00:16:33,640 Speaker 1: voted it down. How is the debt ceiling going to 321 00:16:33,680 --> 00:16:36,960 Speaker 1: get raised by that October eighteenth deadline that Janet Yellen said, Hey, 322 00:16:36,960 --> 00:16:40,920 Speaker 1: we're going to run out of money. Yeah, I mean here, 323 00:16:40,920 --> 00:16:44,400 Speaker 1: I just highlight that there's a lot of paths that 324 00:16:44,520 --> 00:16:48,040 Speaker 1: lead to the debt ceiling being raised. The most obvious 325 00:16:48,080 --> 00:16:50,240 Speaker 1: one that that's pretty well talked about at this point 326 00:16:50,360 --> 00:16:53,400 Speaker 1: is that the Democrats decide to pivot to using the 327 00:16:53,400 --> 00:16:57,680 Speaker 1: budget reconciliation process, move quickly on that process, and get 328 00:16:57,680 --> 00:17:02,240 Speaker 1: that done with a party line vote the October eighteen deadline. Um, 329 00:17:02,280 --> 00:17:06,440 Speaker 1: it's of course also possible that the option to use 330 00:17:06,440 --> 00:17:10,880 Speaker 1: reconciliation expired over time if you'll move fast enough, sort 331 00:17:10,880 --> 00:17:15,879 Speaker 1: of forcing Republicans into the negotiation. But the point is 332 00:17:15,920 --> 00:17:19,960 Speaker 1: that there's there's time, and there's options, and so the 333 00:17:20,000 --> 00:17:22,119 Speaker 1: fact that you were not hearing from a lot of 334 00:17:22,160 --> 00:17:25,080 Speaker 1: clients who are terribly worried about this, and I think 335 00:17:25,200 --> 00:17:28,360 Speaker 1: it is probably up to early to be too concerned 336 00:17:28,359 --> 00:17:32,159 Speaker 1: about it. Michael, you're also the municipal strategist at Morgan Stanley. 337 00:17:32,200 --> 00:17:35,360 Speaker 1: What is your strategy for municipals right here given all 338 00:17:35,400 --> 00:17:39,000 Speaker 1: that's going on down in Washington. Yeah, I mean, I 339 00:17:39,040 --> 00:17:40,760 Speaker 1: think I think it depends on what type of investor 340 00:17:40,800 --> 00:17:43,719 Speaker 1: you are. UM, if you are an investor in an 341 00:17:43,800 --> 00:17:47,400 Speaker 1: attack bracket and you have a need for owning duration, 342 00:17:47,640 --> 00:17:50,199 Speaker 1: then it probably still makes sense to own municipals at 343 00:17:50,200 --> 00:17:53,600 Speaker 1: the moment because credit quality is actually quite good. It's 344 00:17:53,600 --> 00:17:58,320 Speaker 1: improving largely across the board, and on a tax adjusted basis, 345 00:17:58,400 --> 00:18:03,399 Speaker 1: there's necessarily a a better place to get that duration. UM, 346 00:18:03,440 --> 00:18:07,080 Speaker 1: if you are someone who is managing against a broader 347 00:18:07,119 --> 00:18:09,800 Speaker 1: fixed in COMME index and you want munies because you 348 00:18:09,800 --> 00:18:13,320 Speaker 1: think they'll outperform corporates or something else, we wouldn't agree 349 00:18:13,359 --> 00:18:16,000 Speaker 1: with that strategy, we think units are probably going to 350 00:18:16,040 --> 00:18:19,720 Speaker 1: be an average, perhaps a slight underperformer versus other types 351 00:18:19,800 --> 00:18:24,000 Speaker 1: of US dollar denominated credit. Alright, Michael, thanks so much 352 00:18:24,200 --> 00:18:26,880 Speaker 1: for joining us. We really appreciate getting your perspective here 353 00:18:26,880 --> 00:18:29,000 Speaker 1: as we try to make sense of what's going on 354 00:18:29,080 --> 00:18:31,720 Speaker 1: down in Washington in terms of all those legis pieces 355 00:18:31,760 --> 00:18:34,120 Speaker 1: of legislation that are winding their way through Congress. Michael 356 00:18:34,200 --> 00:18:38,400 Speaker 1: jesus chief US Public Policy and Municipal Strategists for more 357 00:18:38,440 --> 00:18:45,880 Speaker 1: in Stanley, based in New York City. This is Bloomberg. Well, 358 00:18:45,920 --> 00:18:50,000 Speaker 1: when enhanced unemployment benefits in US ended earlier this month, Manye, 359 00:18:50,000 --> 00:18:53,720 Speaker 1: businesses thought that job seekers would flood back into the 360 00:18:53,760 --> 00:18:56,040 Speaker 1: labor market, but so far that hasn't happened. So what 361 00:18:56,119 --> 00:18:59,840 Speaker 1: are businesses to do? Maybe one solution might be automation, 362 00:19:00,440 --> 00:19:04,399 Speaker 1: enhanced automation. William Studebaker joins us. He's president in chief 363 00:19:04,400 --> 00:19:06,919 Speaker 1: investment officer of robo Global. They have about four billion 364 00:19:06,960 --> 00:19:11,160 Speaker 1: dollars in assets under mass man management across various indicries. Bill, 365 00:19:11,240 --> 00:19:13,080 Speaker 1: thanks so much for joining us here. Talk to us 366 00:19:13,119 --> 00:19:17,840 Speaker 1: about I don't know, automation robots. Is that kind of 367 00:19:17,840 --> 00:19:21,080 Speaker 1: the future for a lot of businesses that might post 368 00:19:21,080 --> 00:19:24,160 Speaker 1: pandemic have a hard time, you know, finding a job 369 00:19:24,680 --> 00:19:28,560 Speaker 1: folks to fill their job openings. Yeah, good morning, Paul Kaley. 370 00:19:28,640 --> 00:19:31,600 Speaker 1: Yeah it wasn't. I mean, fortunately, as I discussed in 371 00:19:31,720 --> 00:19:35,639 Speaker 1: my blog, the robots are here, and UM, the obvious 372 00:19:35,680 --> 00:19:39,960 Speaker 1: solution right now, you know, is automation, and the trajectory 373 00:19:39,960 --> 00:19:44,240 Speaker 1: of automation is definitely undeniable. And what's exciting about what's 374 00:19:44,280 --> 00:19:47,639 Speaker 1: happening now, it's that this revolution is very different in 375 00:19:47,720 --> 00:19:51,160 Speaker 1: terms of scope, scale, and complexity of any other technological 376 00:19:51,200 --> 00:19:54,119 Speaker 1: revolutions that we've seen. It is really coming down to 377 00:19:54,359 --> 00:19:57,800 Speaker 1: really dollars and cents, and the competitive advantage that the 378 00:19:57,840 --> 00:20:01,119 Speaker 1: service industry had had was access to cheap labor, and 379 00:20:01,240 --> 00:20:05,199 Speaker 1: automated systems have had to compete against this. Historically, the 380 00:20:05,280 --> 00:20:10,439 Speaker 1: upfront capita costs UM made robots less competitive. But you know, 381 00:20:10,480 --> 00:20:14,800 Speaker 1: with astronomical wage increases, particularly lower wage labor in the 382 00:20:14,880 --> 00:20:18,240 Speaker 1: absence of labor in many cases UM, the service industry, 383 00:20:18,280 --> 00:20:22,640 Speaker 1: wage increases UM have really changed this equation. So we're 384 00:20:22,640 --> 00:20:25,440 Speaker 1: at a tipping point. As we have wage costs and 385 00:20:25,560 --> 00:20:28,760 Speaker 1: is accelerated, you have costs of automation that have plummeted 386 00:20:29,320 --> 00:20:32,760 Speaker 1: and quality is obviously improved as a result of automation, 387 00:20:32,840 --> 00:20:36,360 Speaker 1: and this is really giving birth to a whole new 388 00:20:36,359 --> 00:20:40,440 Speaker 1: evolution to our economy and how business has done. Yeah, 389 00:20:40,480 --> 00:20:43,520 Speaker 1: it's interesting. I was reading a note a story about 390 00:20:43,560 --> 00:20:45,840 Speaker 1: a note from Mike Mayo, who's a bank analyst over 391 00:20:45,880 --> 00:20:48,800 Speaker 1: at Wells far Ago very closely followed, and he said 392 00:20:48,800 --> 00:20:51,720 Speaker 1: that the banking industry, the financial industry would be maybe 393 00:20:51,720 --> 00:20:54,560 Speaker 1: cutting a hundred thousand jobs over the next five years 394 00:20:54,840 --> 00:20:58,760 Speaker 1: in part due to improving a technology and automation. Is 395 00:20:58,880 --> 00:21:02,720 Speaker 1: finance or any other industries sectors in particular that could 396 00:21:02,720 --> 00:21:06,720 Speaker 1: see this happening in a more accelerated way. Well, I 397 00:21:07,119 --> 00:21:09,440 Speaker 1: think that's a hard question to ask. I think every 398 00:21:09,480 --> 00:21:12,879 Speaker 1: industry is actually you know, right for automation, there isn't 399 00:21:13,080 --> 00:21:16,080 Speaker 1: you know when you when you think about automation in general, 400 00:21:16,080 --> 00:21:19,320 Speaker 1: and you know how much or how penetrated are are 401 00:21:19,359 --> 00:21:21,320 Speaker 1: we in terms of automation, And with the exception of 402 00:21:21,560 --> 00:21:26,920 Speaker 1: of industrial robotics principally auto which is about penetrated, virtually 403 00:21:27,000 --> 00:21:31,560 Speaker 1: every other industry has the minimous levels of penetration. Really, um, 404 00:21:31,600 --> 00:21:35,320 Speaker 1: I would argue what's happening is not so much job loss. 405 00:21:35,800 --> 00:21:38,280 Speaker 1: But what's happening is the nature of work is changing, 406 00:21:38,440 --> 00:21:40,520 Speaker 1: and in many cases it's really what we're doing is 407 00:21:40,560 --> 00:21:44,520 Speaker 1: automating tasks. So it's not about about complete job functions 408 00:21:44,520 --> 00:21:47,960 Speaker 1: getting eliminated. But again, tasks are changing. We're moving more 409 00:21:48,040 --> 00:21:52,000 Speaker 1: to a knowledge based work environment. Um. You know, I 410 00:21:52,080 --> 00:21:55,240 Speaker 1: think back to the nine hundreds, we had sixty of 411 00:21:55,240 --> 00:21:58,720 Speaker 1: our workforce there was an egg. Now we have two percent. 412 00:21:58,880 --> 00:22:02,240 Speaker 1: We're producing more less. This is all as a result 413 00:22:02,280 --> 00:22:05,719 Speaker 1: of automation. So again, I think we're at a tipping 414 00:22:05,760 --> 00:22:11,080 Speaker 1: point for proactivity improve in virtually every industry. Is how 415 00:22:11,080 --> 00:22:13,879 Speaker 1: do you when you look at the labor situation today? 416 00:22:14,240 --> 00:22:16,600 Speaker 1: You know, we've got again the enhanced uneppointment and if 417 00:22:16,640 --> 00:22:22,080 Speaker 1: it's expired earlier in September, Um, we haven't necessarily seen 418 00:22:22,119 --> 00:22:24,119 Speaker 1: a rush back into the labor market. What what do 419 00:22:24,160 --> 00:22:26,560 Speaker 1: you make of kind of the folks that are not 420 00:22:26,920 --> 00:22:32,720 Speaker 1: participating in this labor market? Now? Well, I mean I think, um, 421 00:22:32,760 --> 00:22:35,200 Speaker 1: you know, you know, the interesting thing that we've had 422 00:22:35,359 --> 00:22:38,600 Speaker 1: in the economy. To put what's happened in perspective, it's 423 00:22:38,600 --> 00:22:42,040 Speaker 1: actually kind of interesting. Um. In the second quarter of 424 00:22:43,200 --> 00:22:45,560 Speaker 1: you know, we had the highest cdpeak growth in history. 425 00:22:45,600 --> 00:22:48,840 Speaker 1: In fact, Jeep, your growth is now one person higher 426 00:22:48,880 --> 00:22:52,840 Speaker 1: than the higher peak and we're producing the highest output 427 00:22:52,960 --> 00:22:55,600 Speaker 1: was six point seven million fewer people. And this is 428 00:22:55,640 --> 00:22:59,199 Speaker 1: all as a result of automation. And you know the 429 00:22:59,240 --> 00:23:02,480 Speaker 1: initial undeployment claims that came out, we're a little more 430 00:23:02,480 --> 00:23:06,840 Speaker 1: elevated than I think expectations had it. Um. You know, 431 00:23:06,880 --> 00:23:10,680 Speaker 1: demand for workers remains elevated as as the economy reopened. 432 00:23:10,720 --> 00:23:13,119 Speaker 1: So I think the big issue for a lot of 433 00:23:13,160 --> 00:23:16,400 Speaker 1: companies and is that with the reopening of the economy, 434 00:23:16,640 --> 00:23:19,760 Speaker 1: the main issue is has been finding enough workers to 435 00:23:19,840 --> 00:23:22,959 Speaker 1: meet the soaring demand. And I think going forward, um, 436 00:23:23,000 --> 00:23:24,920 Speaker 1: a lot of companies are going to face a lot 437 00:23:24,960 --> 00:23:28,320 Speaker 1: of pressures with rising costs. And I think people have 438 00:23:28,520 --> 00:23:32,639 Speaker 1: had the benefit of having enhanced benefits and and they 439 00:23:32,760 --> 00:23:36,000 Speaker 1: recognized that, and I think that's made them very slow 440 00:23:36,080 --> 00:23:39,439 Speaker 1: to you know, make future changes. Bill just quickly, we 441 00:23:39,440 --> 00:23:41,200 Speaker 1: only have about a minute left. But if we're heading 442 00:23:41,240 --> 00:23:44,639 Speaker 1: toward a more robotic, automated world, how do you position 443 00:23:44,640 --> 00:23:48,840 Speaker 1: a portfolio for that. Well, I think this is undeniably 444 00:23:49,000 --> 00:23:51,160 Speaker 1: you know where we're going. When we sort of had 445 00:23:51,160 --> 00:23:53,879 Speaker 1: the vision that robotics and AI where we're going to 446 00:23:54,000 --> 00:23:57,320 Speaker 1: become very ubiquitous eight years ago, you know, fast forward, 447 00:23:57,480 --> 00:23:59,480 Speaker 1: you know eight years later, we could be more convicted. 448 00:23:59,560 --> 00:24:02,240 Speaker 1: I think what's interesting is I think most people sort 449 00:24:02,240 --> 00:24:04,520 Speaker 1: of see this, but they're not positioned for it to 450 00:24:04,760 --> 00:24:08,520 Speaker 1: take for example, are our Robotics Index, which has an 451 00:24:08,520 --> 00:24:11,240 Speaker 1: e t F the tracts at robot Less than three 452 00:24:11,240 --> 00:24:13,760 Speaker 1: percent of these companies are in the SMP five hunters. 453 00:24:13,800 --> 00:24:16,960 Speaker 1: So generally speaking, this is a very unowned part of 454 00:24:16,960 --> 00:24:20,200 Speaker 1: the market for for most investors. And what we try 455 00:24:20,240 --> 00:24:23,439 Speaker 1: to do is identified companies that have high revenue purity, 456 00:24:23,800 --> 00:24:27,199 Speaker 1: that have market share and technological leadership. So these are 457 00:24:27,200 --> 00:24:30,600 Speaker 1: really are very mature businesses and again importantly not owned 458 00:24:30,600 --> 00:24:33,240 Speaker 1: by investors. And I think if you look at the SMP, 459 00:24:34,760 --> 00:24:39,280 Speaker 1: SMP didn't exist roughly twelve years ago. So the evolution, 460 00:24:39,359 --> 00:24:42,240 Speaker 1: the innovation that's happening is happening pretty rapidly. And this 461 00:24:42,320 --> 00:24:45,480 Speaker 1: is where you know we're going. And this is just 462 00:24:45,600 --> 00:24:48,359 Speaker 1: online with what's happened, you know, with the Internet and 463 00:24:48,440 --> 00:24:50,959 Speaker 1: probably a lot more powerful. Hey, Bill, thanks so much 464 00:24:51,000 --> 00:24:53,119 Speaker 1: for joining us. I really appreciate getting your thoughts. Are 465 00:24:53,160 --> 00:24:56,600 Speaker 1: fascinating topic. Bill Student Baker, President and chief investment officer 466 00:24:56,680 --> 00:25:00,719 Speaker 1: for Robot Global. Thanks for listening to the Bloomberg Market podcast. 467 00:25:01,119 --> 00:25:04,320 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 468 00:25:04,440 --> 00:25:08,360 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 469 00:25:08,400 --> 00:25:11,760 Speaker 1: on Twitter at Matt Miller nineteen seventy three and on 470 00:25:11,880 --> 00:25:14,960 Speaker 1: Fall Sweeney. I'm on Twitter at pt Sweeney. Before the podcast. 471 00:25:15,000 --> 00:25:17,520 Speaker 1: You can always catch us worldwide at Bloomberg Radio