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 --> 00:00:15,600 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 --> 00:00:22,360 Speaker 1: at Bloomberg dot com slash podcast. I love to watch 7 00:00:22,560 --> 00:00:25,880 Speaker 1: some cricket occasionally. Also love to play with Legos, or 8 00:00:25,880 --> 00:00:27,720 Speaker 1: at least I did an I as a kid, and 9 00:00:27,760 --> 00:00:30,280 Speaker 1: I recently saw that they also have a Seinfeld set, 10 00:00:30,320 --> 00:00:32,880 Speaker 1: so I might get back into it. Has been Stark joins, 11 00:00:32,960 --> 00:00:36,360 Speaker 1: us president of Lego Education to talk to us about 12 00:00:36,360 --> 00:00:40,440 Speaker 1: the pandemics impact on learning and what back to school 13 00:00:40,520 --> 00:00:45,120 Speaker 1: means um for Lego as well. It has a mission 14 00:00:45,120 --> 00:00:48,560 Speaker 1: to transform the way kids learn. I guess I didn't 15 00:00:48,560 --> 00:00:50,040 Speaker 1: even realize I was learning when I was doing it, 16 00:00:50,040 --> 00:00:53,720 Speaker 1: but I grew up, as did probably everybody around me 17 00:00:53,880 --> 00:00:56,960 Speaker 1: as been playing with Legos. It must be one of 18 00:00:57,000 --> 00:01:03,640 Speaker 1: the staple toys, at least for American children. Absolutely, I 19 00:01:03,680 --> 00:01:07,039 Speaker 1: think it's a UM. I think it's a stable toy 20 00:01:07,720 --> 00:01:09,880 Speaker 1: in a lot of places around the world, and isn't 21 00:01:09,880 --> 00:01:13,040 Speaker 1: it wonderful that that you can learn without knowing that 22 00:01:13,080 --> 00:01:16,560 Speaker 1: you're learning, and you can learn without being instructed. Has 23 00:01:16,600 --> 00:01:19,000 Speaker 1: been with the world still dealing with the pandemic, but 24 00:01:19,040 --> 00:01:23,080 Speaker 1: from an educational perspective, you know, the last year, last 25 00:01:23,080 --> 00:01:26,040 Speaker 1: academic year was for a lot of places around the 26 00:01:26,080 --> 00:01:30,480 Speaker 1: world remote learning. How do you think learning is changing 27 00:01:30,560 --> 00:01:33,280 Speaker 1: evolving as as you guys look at it from your 28 00:01:33,280 --> 00:01:36,640 Speaker 1: perspective going forward the pandemic? What was the impact that 29 00:01:36,720 --> 00:01:40,680 Speaker 1: it will have going forward? Do you think? Well? I 30 00:01:40,720 --> 00:01:43,760 Speaker 1: think immediately what we know is we're going to welcome 31 00:01:43,800 --> 00:01:47,559 Speaker 1: a lot of students back into the classroom that that 32 00:01:47,840 --> 00:01:53,400 Speaker 1: have faced a learning loss. Their social, emotional learning and 33 00:01:53,400 --> 00:01:57,120 Speaker 1: development has been impacted as in validity they've been at home, 34 00:01:57,720 --> 00:02:00,560 Speaker 1: and I think also importantly to many, we've seen reduced 35 00:02:00,640 --> 00:02:05,920 Speaker 1: engagement in learning and and very unfortunately that that the 36 00:02:05,960 --> 00:02:09,919 Speaker 1: most severe impact of those most severely impacted are often 37 00:02:09,960 --> 00:02:13,520 Speaker 1: those already most disadvantaged. So of course we have to 38 00:02:13,560 --> 00:02:16,120 Speaker 1: face how how do we pick up those students and 39 00:02:16,160 --> 00:02:19,520 Speaker 1: how do we give them a healthy approach to learning 40 00:02:19,520 --> 00:02:22,680 Speaker 1: while closing those gaps. What kind of learning are we 41 00:02:22,720 --> 00:02:27,080 Speaker 1: talking about? I mean, I um, I think probably the 42 00:02:27,440 --> 00:02:30,519 Speaker 1: skills that I picked up the most were with engineering, 43 00:02:30,600 --> 00:02:33,840 Speaker 1: especially as I became a teenager and started buying the 44 00:02:33,919 --> 00:02:39,320 Speaker 1: more complicated um you know, like a car sets for example, 45 00:02:39,840 --> 00:02:42,720 Speaker 1: what what what are? What? Are people learning the most 46 00:02:42,800 --> 00:02:48,920 Speaker 1: with your products? Our solutions are products are designed of 47 00:02:49,000 --> 00:02:53,880 Speaker 1: course of all too, the delivered towards the standards and 48 00:02:54,000 --> 00:02:57,119 Speaker 1: learning goals in the classrooms so that they're really highly 49 00:02:56,919 --> 00:03:00,000 Speaker 1: re usable. But then of course we're also focused around 50 00:03:00,080 --> 00:03:04,840 Speaker 1: really developing twenty century skillers as well, also things like creativity, 51 00:03:05,080 --> 00:03:10,280 Speaker 1: critical thinking, problem solving, and important social emotional skills, also 52 00:03:10,400 --> 00:03:14,200 Speaker 1: like collaboration, resilience. So when you have to solve the 53 00:03:14,240 --> 00:03:17,960 Speaker 1: real world problem in the classroom with with one of 54 00:03:18,000 --> 00:03:21,360 Speaker 1: your mates, there's a lot of problems solving, there's a 55 00:03:21,360 --> 00:03:25,040 Speaker 1: lot of negotiations. So it's not the technique because I 56 00:03:25,080 --> 00:03:28,040 Speaker 1: have so my godson in I got I got him 57 00:03:28,080 --> 00:03:33,240 Speaker 1: recently the Lego Doukati Panagali V four R. And he's 58 00:03:33,320 --> 00:03:36,080 Speaker 1: just a kid, he's only I think seven years old. 59 00:03:36,440 --> 00:03:38,360 Speaker 1: But after he got it put together with his daddy 60 00:03:38,360 --> 00:03:40,600 Speaker 1: said look, if I turned the crank, the cylinders go 61 00:03:40,680 --> 00:03:42,200 Speaker 1: up and down. And I thought it was so cool 62 00:03:42,200 --> 00:03:45,920 Speaker 1: that there was just that much detail on the set. Yeah, 63 00:03:46,120 --> 00:03:49,240 Speaker 1: I think imagine that and imagine imagine you know, the 64 00:03:49,240 --> 00:03:52,040 Speaker 1: imagining of that joy and the engagement that he has. 65 00:03:52,080 --> 00:03:55,680 Speaker 1: I'm sure he spent sort of hours really deeply engaged 66 00:03:55,720 --> 00:04:00,120 Speaker 1: in that. And then you layer over intentional content and 67 00:04:00,360 --> 00:04:04,760 Speaker 1: to then take out learning outcomes of that. So while 68 00:04:04,760 --> 00:04:07,560 Speaker 1: it's not do CARDI we bring into the classroom, it 69 00:04:07,800 --> 00:04:11,160 Speaker 1: is hands on legal based solutions. They are also quoting 70 00:04:11,240 --> 00:04:15,800 Speaker 1: elements in it where students then solve real world problems 71 00:04:16,920 --> 00:04:20,719 Speaker 1: having subject based learning, but again also bringing on a 72 00:04:20,720 --> 00:04:23,560 Speaker 1: lot of those twenty first century skills. And I could 73 00:04:23,600 --> 00:04:26,600 Speaker 1: imagine that he's also practiced quite a bit of resilience 74 00:04:26,680 --> 00:04:29,440 Speaker 1: as he's played built that big one and you know, 75 00:04:29,520 --> 00:04:33,680 Speaker 1: finding the right elements and and ultimately succeeding. So I 76 00:04:33,680 --> 00:04:37,839 Speaker 1: think take that magic, add the purposefulness of delivering towards 77 00:04:37,880 --> 00:04:41,360 Speaker 1: specific outcomes, and then bring it into the classroom. That's 78 00:04:41,360 --> 00:04:44,960 Speaker 1: what we look to deliver. So what is Lego Education 79 00:04:45,360 --> 00:04:47,960 Speaker 1: you know doing specifically? I mean you think, I'll think 80 00:04:48,000 --> 00:04:49,880 Speaker 1: about the last year we had that remote learning and 81 00:04:49,880 --> 00:04:53,480 Speaker 1: I know you guys support Lego education supports learning through play. 82 00:04:53,560 --> 00:04:56,920 Speaker 1: I'm guessing that took a pretty big hit last year 83 00:04:56,920 --> 00:05:02,159 Speaker 1: as kids were working remotely. Um, of course, we try 84 00:05:02,200 --> 00:05:05,080 Speaker 1: to do what we can to support teachers to have 85 00:05:05,320 --> 00:05:08,240 Speaker 1: a learning wherever it takes place. But you're right, our 86 00:05:08,400 --> 00:05:12,480 Speaker 1: solutions are optimized for using in the classroom where the 87 00:05:12,520 --> 00:05:17,719 Speaker 1: students can engage in collaborative, iterative problem solving. And I 88 00:05:17,720 --> 00:05:20,520 Speaker 1: think we've also seen through the pandemic actually the magic 89 00:05:20,600 --> 00:05:23,480 Speaker 1: that the classroom has and what students are missing there 90 00:05:23,920 --> 00:05:26,280 Speaker 1: and what's then really important for us to say, how 91 00:05:26,320 --> 00:05:29,480 Speaker 1: can we make that even stronger? How can we optimize 92 00:05:29,760 --> 00:05:33,000 Speaker 1: the learning potential in the classroom. And that's why we 93 00:05:33,080 --> 00:05:37,600 Speaker 1: talk about the importance of rethinking learning. So again, how 94 00:05:37,640 --> 00:05:45,080 Speaker 1: can we make learning engaging, personally meaningful, iterative, socially collaborative, 95 00:05:45,160 --> 00:05:47,760 Speaker 1: so we can really press the students with the skills 96 00:05:48,279 --> 00:05:51,960 Speaker 1: they need. It said, a very important healthy approach to them. 97 00:05:52,040 --> 00:05:53,920 Speaker 1: Ashman Stark, thank you so much for joining us. Really 98 00:05:53,960 --> 00:05:58,080 Speaker 1: appreciate a fascinating discussion here, ashpan Stark, President of Lego Education. 99 00:05:58,160 --> 00:06:01,080 Speaker 1: And again, kids going back to school, that's the really 100 00:06:01,120 --> 00:06:04,119 Speaker 1: good news, and getting them back into the classroom, getting 101 00:06:04,160 --> 00:06:07,760 Speaker 1: back into activities after school, activities and clubs and sports, 102 00:06:07,760 --> 00:06:09,960 Speaker 1: and that's the good news. And Lego is a big 103 00:06:10,120 --> 00:06:17,160 Speaker 1: part of that. We had some better than expected manufacturing 104 00:06:17,320 --> 00:06:20,080 Speaker 1: I s M data came out this morning. Good news 105 00:06:20,120 --> 00:06:23,200 Speaker 1: there for the manufacturing front. Let's break it down with 106 00:06:23,279 --> 00:06:26,800 Speaker 1: Tim Fury, chairman of the Manufacturing Business Survey for the 107 00:06:26,839 --> 00:06:30,000 Speaker 1: Institute of Supply Management based in Miami. Tim, thanks so 108 00:06:30,080 --> 00:06:32,040 Speaker 1: much for joining us here. Better than expected numbers give 109 00:06:32,080 --> 00:06:35,919 Speaker 1: us the highlights. Yeah, really good demand again and the 110 00:06:35,960 --> 00:06:38,560 Speaker 1: month of August uh, better than the month of July. 111 00:06:38,720 --> 00:06:41,600 Speaker 1: And plus I mean that's a great number. The new 112 00:06:41,600 --> 00:06:43,960 Speaker 1: export order number was really strong. To supporting that new 113 00:06:44,080 --> 00:06:48,000 Speaker 1: order number. Backlog was again near records, second highest number 114 00:06:48,000 --> 00:06:50,800 Speaker 1: ever since we've been keeping record since the nineties. And 115 00:06:50,800 --> 00:06:54,000 Speaker 1: the customer inventory again was swallow months below forty which 116 00:06:54,040 --> 00:06:57,040 Speaker 1: is a super too low. Empty cells everywhere. If you've 117 00:06:57,040 --> 00:06:58,720 Speaker 1: been in any of the stores lately, try to buy 118 00:06:58,760 --> 00:07:02,080 Speaker 1: a car, you can't. There's a went to a department store, 119 00:07:02,120 --> 00:07:04,680 Speaker 1: going to a grocery store sells a rampy everywhere, and 120 00:07:04,760 --> 00:07:07,400 Speaker 1: it's kind of indicative of what this reporter is signed. 121 00:07:09,200 --> 00:07:12,840 Speaker 1: Our delivery side us a little bit uh, and prices 122 00:07:12,880 --> 00:07:14,960 Speaker 1: are backing off there. There is some positive signs for 123 00:07:14,960 --> 00:07:18,440 Speaker 1: the future go ahead well, I just um spent the 124 00:07:19,280 --> 00:07:24,040 Speaker 1: my lunch hour trying to order a titanium um connecting 125 00:07:24,120 --> 00:07:29,040 Speaker 1: pipe for um an a Kropovitch exhaust. And who doesn't 126 00:07:29,040 --> 00:07:31,680 Speaker 1: do that in their lunch Well, it's just they're impossible 127 00:07:31,680 --> 00:07:35,120 Speaker 1: to find. I called a ton of distributors and dealerships 128 00:07:35,160 --> 00:07:38,400 Speaker 1: and they say, you know what, you're gonna be waiting weeks, 129 00:07:38,400 --> 00:07:42,160 Speaker 1: like hope to get it at the earliest end of October. 130 00:07:42,720 --> 00:07:45,280 Speaker 1: And it just feels like that's a long way away 131 00:07:45,360 --> 00:07:47,840 Speaker 1: from you know, I feel like we just finished August. 132 00:07:48,200 --> 00:07:50,880 Speaker 1: Um when is this going to When are we gonna 133 00:07:50,880 --> 00:07:54,440 Speaker 1: see a recovery? Well, so let's let's expand on that. 134 00:07:54,480 --> 00:07:57,440 Speaker 1: You know, our our number one industry sector that's expanding 135 00:07:57,440 --> 00:08:00,200 Speaker 1: its furniture. And you go into a furn is to 136 00:08:00,200 --> 00:08:02,360 Speaker 1: store these days and they'll tell you, well, maybe four weeks, 137 00:08:02,360 --> 00:08:04,720 Speaker 1: but I don't really know. And even the day before 138 00:08:04,720 --> 00:08:06,360 Speaker 1: we supposed to deliver, they'll call you up and say 139 00:08:06,400 --> 00:08:07,880 Speaker 1: it's going to be another three weeks. A lot of 140 00:08:07,880 --> 00:08:10,600 Speaker 1: that has to do with poor congestion. I think we're 141 00:08:10,600 --> 00:08:13,080 Speaker 1: gonna be dealing with this uncertainty for quite some time. 142 00:08:14,080 --> 00:08:16,120 Speaker 1: You know the fact that the Dela variant raised through 143 00:08:16,600 --> 00:08:19,760 Speaker 1: UH the US to such an extent it didn't so 144 00:08:19,880 --> 00:08:23,520 Speaker 1: much impact our panelists, but it's definitely impacting sentiment and 145 00:08:23,520 --> 00:08:25,360 Speaker 1: you can see it in the conference board in the 146 00:08:25,440 --> 00:08:27,600 Speaker 1: University of Michigan. So, and that's not a good thing. 147 00:08:28,040 --> 00:08:30,440 Speaker 1: Our lead times are out so far we set record 148 00:08:30,600 --> 00:08:33,559 Speaker 1: Romatory of lead times again, and what's happening is that's 149 00:08:33,640 --> 00:08:36,120 Speaker 1: driving up our new order number. How much I can't 150 00:08:36,160 --> 00:08:39,160 Speaker 1: really tell, but you can probably assume it's five points 151 00:08:39,160 --> 00:08:44,560 Speaker 1: of it. So, and that's essentially advanced demands. That's if 152 00:08:44,559 --> 00:08:46,800 Speaker 1: you have lead times that are typically six weeks, they're 153 00:08:46,800 --> 00:08:50,040 Speaker 1: now twelve or fifteen. You're committing to higher prices at 154 00:08:50,040 --> 00:08:52,400 Speaker 1: some point longer in the future than you normally do. 155 00:08:52,880 --> 00:08:55,040 Speaker 1: And that's kind of risky. But but I think you know, 156 00:08:55,120 --> 00:09:00,000 Speaker 1: overall suppliedment balances, we're in balance, but we're making progress. 157 00:09:00,080 --> 00:09:03,360 Speaker 1: The input side mad some progress price disease that although 158 00:09:03,360 --> 00:09:05,839 Speaker 1: they're still expanding not as fast rate as they were 159 00:09:05,840 --> 00:09:08,640 Speaker 1: in July and June, the suppliers delibered better. You can 160 00:09:08,640 --> 00:09:12,760 Speaker 1: see that in the rometary inventory account. We manufacturing inventory account. 161 00:09:12,800 --> 00:09:14,920 Speaker 1: We got to fifty five first time in quite some time. 162 00:09:15,559 --> 00:09:17,520 Speaker 1: So but I think We've got a new normal here 163 00:09:17,600 --> 00:09:19,480 Speaker 1: that we're gonna be dealing with for at least a year. 164 00:09:19,559 --> 00:09:24,520 Speaker 1: And that's the impacts of variants coming out and the 165 00:09:24,559 --> 00:09:28,880 Speaker 1: attitude that it has on people tim manufacturing. What are 166 00:09:28,880 --> 00:09:31,080 Speaker 1: they saying about their labor force? Are they getting the 167 00:09:31,120 --> 00:09:34,160 Speaker 1: labor they need? Well, that's the big story for the months. 168 00:09:34,200 --> 00:09:38,120 Speaker 1: We are still struggling attracting people. Hired to fire ratio 169 00:09:38,240 --> 00:09:41,199 Speaker 1: is still eight or nine to one, Uh no, one is. 170 00:09:41,440 --> 00:09:43,760 Speaker 1: I think I had one respond in talking about layoffs. 171 00:09:44,440 --> 00:09:47,520 Speaker 1: Everybody else is talking about trying to hire. Of the people, 172 00:09:47,880 --> 00:09:49,920 Speaker 1: I think eight two percent of my comments were higher 173 00:09:49,920 --> 00:09:53,240 Speaker 1: related and of that, thirty five of those said that 174 00:09:53,240 --> 00:09:55,920 Speaker 1: they were having difficulty, which is up five points from July. 175 00:09:56,080 --> 00:09:58,160 Speaker 1: So that's that says a lot of The biggest thing 176 00:09:58,160 --> 00:10:00,840 Speaker 1: on the labor side, I think in August is that 177 00:10:00,920 --> 00:10:06,679 Speaker 1: what started in July turnover is now accelerating. So of 178 00:10:07,000 --> 00:10:12,360 Speaker 1: those hiring clans is related to turnover, including retirements, and 179 00:10:12,360 --> 00:10:16,440 Speaker 1: that's a big number. So you hire two, somebody retires, 180 00:10:16,480 --> 00:10:19,480 Speaker 1: you have to hire three. It's and in most cases 181 00:10:19,480 --> 00:10:22,920 Speaker 1: it's people chasing wages, and that's a direct result of 182 00:10:22,960 --> 00:10:26,520 Speaker 1: people raising wages to try to fill up their staffing levels. 183 00:10:27,400 --> 00:10:30,600 Speaker 1: All right, very interesting stuff. Great to get your take 184 00:10:30,679 --> 00:10:32,880 Speaker 1: on this, Tim, thanks so much for joining us. The 185 00:10:32,960 --> 00:10:36,679 Speaker 1: usual Tim Fiori, there's the chairman of the Manufacturing Business 186 00:10:36,720 --> 00:10:41,480 Speaker 1: Survey out of the Institute for Supply Management in Miami. 187 00:10:41,559 --> 00:10:43,320 Speaker 1: Of course, we've got that number. You can see it 188 00:10:43,360 --> 00:10:46,760 Speaker 1: if you type eCos space US go UM, or you 189 00:10:46,800 --> 00:10:49,320 Speaker 1: can type w E c O go in the blueboard terminal, 190 00:10:49,360 --> 00:10:51,280 Speaker 1: click on the American flag and you will see I 191 00:10:51,559 --> 00:10:54,120 Speaker 1: s M Manufacturing came in at fifty nine point function 192 00:10:54,160 --> 00:10:57,920 Speaker 1: of nine from fifty eight the survey was fifty eight 193 00:10:57,920 --> 00:11:00,680 Speaker 1: point five, so beating the survey and more than the 194 00:11:00,720 --> 00:11:07,160 Speaker 1: prior reading of point five. We have had a ton 195 00:11:07,320 --> 00:11:11,920 Speaker 1: of stories, well just daily deluge of stories about the 196 00:11:12,000 --> 00:11:16,160 Speaker 1: changing regulatory environment and China, and a lot of investors 197 00:11:16,160 --> 00:11:20,160 Speaker 1: have just said it's uninvestable at this point, but some 198 00:11:20,240 --> 00:11:23,559 Speaker 1: are seeing opportunities, and Ashroff huck is among them. Among them. 199 00:11:23,600 --> 00:11:27,320 Speaker 1: He's a senior portfolio manager at Sands Capital, and he 200 00:11:27,440 --> 00:11:31,520 Speaker 1: joins us to talk about um the companies that could 201 00:11:31,520 --> 00:11:37,280 Speaker 1: benefit from the regulatory revisions that we're seeing. Ashroff, thanks 202 00:11:37,360 --> 00:11:39,960 Speaker 1: very much for joining us. What are you seeing as 203 00:11:40,160 --> 00:11:43,520 Speaker 1: kind of the overall theme here in terms of what 204 00:11:43,640 --> 00:11:47,560 Speaker 1: China is doing. Hey, Matt and Paul, thank you for 205 00:11:47,600 --> 00:11:50,240 Speaker 1: having me on UM. You know, it's been a rocky 206 00:11:51,559 --> 00:11:54,640 Speaker 1: and the regulation has been fast and furious, and you know, 207 00:11:54,679 --> 00:11:57,760 Speaker 1: we've taken some hits, but we think the government is 208 00:11:57,760 --> 00:12:03,800 Speaker 1: focused on strategic priority these improving its demographics, reducing income equality, 209 00:12:04,200 --> 00:12:08,040 Speaker 1: moving to higher value manufacturing industries. And we don't think 210 00:12:08,080 --> 00:12:10,439 Speaker 1: it's a case where they're trying to destroy capitalism or 211 00:12:10,440 --> 00:12:15,040 Speaker 1: punish the wealthy. And so the attractive areas that they're pushing, uh, 212 00:12:15,080 --> 00:12:18,920 Speaker 1: you know, they're encouraging more athletic participation, better access to 213 00:12:19,160 --> 00:12:23,560 Speaker 1: affordable drugs and healthcare, and cleaning the environment. But when 214 00:12:23,600 --> 00:12:27,000 Speaker 1: I take a look at big companies like Ali Baba, 215 00:12:27,080 --> 00:12:30,720 Speaker 1: like ten Cent, which have been such winners not just 216 00:12:30,800 --> 00:12:35,440 Speaker 1: for shareholders but also arguably for China itself on a 217 00:12:35,480 --> 00:12:39,760 Speaker 1: global scale, seemed to reflect very well on China. It's 218 00:12:39,760 --> 00:12:43,800 Speaker 1: surprised a lot of people that the government went after 219 00:12:43,840 --> 00:12:47,280 Speaker 1: it was such a heavy hand. Those again, those companies 220 00:12:47,320 --> 00:12:50,960 Speaker 1: that were really representing I thought China well on a 221 00:12:51,000 --> 00:12:54,440 Speaker 1: global scale. How do you make make out or make 222 00:12:54,440 --> 00:12:56,439 Speaker 1: peace with kind of how they're viewing some of their 223 00:12:56,600 --> 00:13:02,160 Speaker 1: traditional stalwart companies. Yeah, I think that those tech companies 224 00:13:02,200 --> 00:13:05,079 Speaker 1: have gotten so big, and a lot of the issues 225 00:13:05,160 --> 00:13:08,000 Speaker 1: that the Chinese regulators are dealing with are the same 226 00:13:08,040 --> 00:13:10,880 Speaker 1: issues that American and European regulators have with the big 227 00:13:10,920 --> 00:13:14,760 Speaker 1: tech companies. Here the differences that China can regulate them 228 00:13:14,880 --> 00:13:18,800 Speaker 1: much more efficiently and effectively. UM So, I don't think 229 00:13:18,840 --> 00:13:21,080 Speaker 1: they're trying to destroy the ten cents and the baba's, 230 00:13:21,679 --> 00:13:24,240 Speaker 1: but they want to ensure fair competition. They want to 231 00:13:24,280 --> 00:13:28,439 Speaker 1: ensure that that the you know, the term that everyone's 232 00:13:28,480 --> 00:13:31,240 Speaker 1: talking about common prosperity. They want to ensure that there's 233 00:13:31,280 --> 00:13:34,640 Speaker 1: more equal participation in the growth that's being generated by 234 00:13:34,640 --> 00:13:40,360 Speaker 1: those platforms. Are you concerned about the fact that, you know, 235 00:13:40,559 --> 00:13:43,000 Speaker 1: things can change in a dime here? I mean it's 236 00:13:43,040 --> 00:13:45,920 Speaker 1: not like, um, we get a plan that's laid out 237 00:13:46,040 --> 00:13:49,560 Speaker 1: and we know in advance, they could just change their 238 00:13:49,600 --> 00:13:52,800 Speaker 1: mind at any point. Yeah, I mean it is a 239 00:13:52,800 --> 00:13:56,200 Speaker 1: little bit more dynamic. It's complicated, but I also think 240 00:13:56,280 --> 00:13:59,520 Speaker 1: China's is too compelling to ignore. Um And as I mentioned, 241 00:13:59,559 --> 00:14:02,360 Speaker 1: there are they're you know, right now the tech platforms 242 00:14:02,400 --> 00:14:05,160 Speaker 1: and education, for example, are in the spotlight but there's 243 00:14:05,160 --> 00:14:08,480 Speaker 1: a lot of growth in consumer businesses there that the 244 00:14:08,720 --> 00:14:12,480 Speaker 1: government will regulate to make sure that it's it's fair competition, 245 00:14:12,559 --> 00:14:15,600 Speaker 1: but they're not trying to control those businesses maybe as much. 246 00:14:15,920 --> 00:14:18,640 Speaker 1: Uh So. For example, we own a business called Anta, 247 00:14:18,720 --> 00:14:21,040 Speaker 1: which is one of our largest ways. It's a athletic 248 00:14:21,080 --> 00:14:24,480 Speaker 1: footwear company. Uh and that's gonna grow as the as 249 00:14:24,520 --> 00:14:27,680 Speaker 1: the government's pushing more uh kids into you know, stop 250 00:14:27,760 --> 00:14:31,120 Speaker 1: playing video games and play more soccer. Um so uh 251 00:14:31,160 --> 00:14:34,400 Speaker 1: And China's about to host the Winter Olympics. They're encouraging 252 00:14:34,400 --> 00:14:36,880 Speaker 1: people to go skiing and things like that. So Anta, 253 00:14:37,200 --> 00:14:39,680 Speaker 1: which you see Clay Thompson wearing, will be a big 254 00:14:39,680 --> 00:14:42,800 Speaker 1: beneficiary of that. And um you know, it's something that 255 00:14:43,400 --> 00:14:46,200 Speaker 1: we've helped for a long time with growth twenty over 256 00:14:46,200 --> 00:14:49,680 Speaker 1: the next five years per year. So astra in in 257 00:14:49,960 --> 00:14:53,880 Speaker 1: terms of new capital going into China, my guests would 258 00:14:53,880 --> 00:14:57,040 Speaker 1: be it's gonna go in and demand a much higher 259 00:14:57,080 --> 00:14:59,920 Speaker 1: risk premium. I'll pay a much lower multiple for my equities, 260 00:15:00,000 --> 00:15:04,400 Speaker 1: a called demand a higher yield on my credit. Talk 261 00:15:04,480 --> 00:15:06,480 Speaker 1: to us about what you're seeing in the capital markets there, 262 00:15:06,560 --> 00:15:10,840 Speaker 1: the financial markets, the funding markets for China. Yeah, that's 263 00:15:10,840 --> 00:15:13,640 Speaker 1: certainly in the case, and you're seeing that even reflected 264 00:15:13,680 --> 00:15:16,240 Speaker 1: in the public company multiples. I mean, you look at 265 00:15:16,280 --> 00:15:19,520 Speaker 1: a business like Ali Baba versus Amazon UM, you know, 266 00:15:19,680 --> 00:15:22,760 Speaker 1: very similar growth rates. In fact, Baba is growing probably 267 00:15:22,760 --> 00:15:25,640 Speaker 1: faster in its core business, and it trades that a 268 00:15:25,720 --> 00:15:28,720 Speaker 1: much lower multiple, higher risk premiums and than Amazon. So 269 00:15:28,800 --> 00:15:33,320 Speaker 1: it's certainly something we're seeing, uh, in both private and 270 00:15:33,480 --> 00:15:41,600 Speaker 1: public funding markets. Interesting when you see UM everyone sort 271 00:15:41,640 --> 00:15:45,080 Speaker 1: of rushing out of China heading for the exit, does 272 00:15:45,120 --> 00:15:49,680 Speaker 1: that provide any kind of UM, any kind of opportunity? 273 00:15:49,680 --> 00:15:51,360 Speaker 1: And I noticed there's some companies I think of ever 274 00:15:51,440 --> 00:15:55,920 Speaker 1: Grand for example, that are having fire sales. Yeah, we're 275 00:15:55,960 --> 00:15:59,080 Speaker 1: not really interested in UM businesses like that. You know, 276 00:15:59,120 --> 00:16:04,680 Speaker 1: we run global growth portfolios or distressed or distressed assets. Now, yeah, 277 00:16:05,680 --> 00:16:08,320 Speaker 1: we're really looking for great growth franchises. Some of those 278 00:16:08,360 --> 00:16:12,280 Speaker 1: are on sale, but I think less than the fire sale. 279 00:16:12,280 --> 00:16:15,560 Speaker 1: We're more interested in how innovation and technology are creating 280 00:16:15,600 --> 00:16:18,400 Speaker 1: new opportunities, and that's certainly happening in China as well 281 00:16:18,400 --> 00:16:20,080 Speaker 1: as many other parts. I mean, China is a small 282 00:16:20,120 --> 00:16:23,920 Speaker 1: part portion of our of our global internationally and portfolios UM, 283 00:16:24,200 --> 00:16:28,120 Speaker 1: so it is I think less you know, the fire 284 00:16:28,160 --> 00:16:30,520 Speaker 1: sell more the opportunity that's been created by innovation invest 285 00:16:30,560 --> 00:16:33,680 Speaker 1: what we're focused on right now. Alright, as, thank you 286 00:16:33,680 --> 00:16:37,960 Speaker 1: so much. We appreciate that. Getting some thoughts there on China. 287 00:16:38,040 --> 00:16:41,160 Speaker 1: And again the real question is to what extent, uh 288 00:16:41,280 --> 00:16:43,680 Speaker 1: is China investable? Is it still investable? But it's such 289 00:16:43,720 --> 00:16:45,520 Speaker 1: a big part of the m s c I index 290 00:16:45,520 --> 00:16:47,120 Speaker 1: that you kind of have to be there as astrof, 291 00:16:47,200 --> 00:16:50,840 Speaker 1: said Ashraff hawk Uh, senior portfolio manager for Sance Capital. 292 00:16:50,880 --> 00:16:52,760 Speaker 1: Thanks so much. I love the joint. I love the 293 00:16:52,760 --> 00:16:55,920 Speaker 1: the athletics shoe point. You know, because if kids are 294 00:16:55,920 --> 00:16:58,560 Speaker 1: going to stop playing video games and yep, I think 295 00:16:58,600 --> 00:17:02,200 Speaker 1: that's a very big if. Um, they are going to 296 00:17:02,280 --> 00:17:04,320 Speaker 1: have to do something else, and it's probably going to 297 00:17:04,359 --> 00:17:09,080 Speaker 1: involve running around, um, wearing shoes, especially if they're playing basketball, 298 00:17:09,280 --> 00:17:11,480 Speaker 1: which they love to do. They're getting pushed down on 299 00:17:11,480 --> 00:17:14,280 Speaker 1: the ski slopes and need new boots. Yeah, it should 300 00:17:14,320 --> 00:17:16,320 Speaker 1: be interesting it but I'll be like like you said, Mattabie, 301 00:17:16,400 --> 00:17:18,639 Speaker 1: I don't know how they're going to regulate Uh, the 302 00:17:18,920 --> 00:17:22,640 Speaker 1: uh kids are gonna have parents can't do it. Good 303 00:17:22,680 --> 00:17:24,520 Speaker 1: luck to the Chinese government. We'll have more coming up 304 00:17:24,680 --> 00:17:30,880 Speaker 1: this is Bloomberg, But we have a good old fashioned 305 00:17:30,960 --> 00:17:33,560 Speaker 1: price war in the m and a space this time 306 00:17:33,720 --> 00:17:37,520 Speaker 1: for Kansas City Southern Railway. We've got the two Canadian railways, 307 00:17:37,640 --> 00:17:42,360 Speaker 1: Canadian Pacific Railway and Canadian National, both vying for this asset. 308 00:17:42,640 --> 00:17:45,280 Speaker 1: Would give them a great Canada through the US into 309 00:17:45,320 --> 00:17:49,440 Speaker 1: Mexico line. There lots of opportunity. Let's dig deep into 310 00:17:49,440 --> 00:17:51,840 Speaker 1: this deal. We can do it with nobody better than 311 00:17:51,880 --> 00:17:54,240 Speaker 1: Tony Hatch. He has been covering these rails and truckers 312 00:17:54,280 --> 00:17:56,960 Speaker 1: for decades on Wall Street, one of the top analysts there. 313 00:17:57,320 --> 00:18:00,040 Speaker 1: He is knee deep in this deal. Tony again, it 314 00:18:00,080 --> 00:18:02,080 Speaker 1: makes a lot of sense to buy for one of 315 00:18:02,080 --> 00:18:05,600 Speaker 1: these Canadian companies to buy Kansas City Southern. What's the 316 00:18:05,680 --> 00:18:08,399 Speaker 1: problem here for these two players. It seems like Canadian 317 00:18:08,480 --> 00:18:11,600 Speaker 1: National had a kind of a setback, So Cannadian and 318 00:18:11,640 --> 00:18:14,640 Speaker 1: I saying hey, Paul, Canadian National kind of like a 319 00:18:14,680 --> 00:18:18,200 Speaker 1: combination in the ring yesterday, a straight left by the 320 00:18:18,440 --> 00:18:21,800 Speaker 1: STB rejecting their voting truest and then a roundhouse by 321 00:18:22,119 --> 00:18:24,920 Speaker 1: t c I trying to change the manager team out. 322 00:18:25,000 --> 00:18:28,240 Speaker 1: So it was not a good day to be in Montreal. 323 00:18:28,840 --> 00:18:31,800 Speaker 1: Say the deal is that c N was proposing this 324 00:18:31,960 --> 00:18:34,280 Speaker 1: under new rules, the so called new rules for the 325 00:18:34,400 --> 00:18:38,200 Speaker 1: STB which came about in two thousand one and require 326 00:18:38,480 --> 00:18:43,880 Speaker 1: enchanced competition, not not just preventing reduced CP skated by 327 00:18:43,880 --> 00:18:46,359 Speaker 1: any of the old rules and see and also had 328 00:18:46,400 --> 00:18:49,440 Speaker 1: horrible timing. This STB is activist and wants to get 329 00:18:49,440 --> 00:18:51,440 Speaker 1: out to get in the ring and punch it railroads, 330 00:18:51,440 --> 00:18:55,240 Speaker 1: and c N has provided them with that opportunity. Is 331 00:18:55,280 --> 00:18:57,440 Speaker 1: it damaging to have this kind of deal up in 332 00:18:57,480 --> 00:19:00,199 Speaker 1: the air? I mean, um, what does the management do 333 00:19:00,440 --> 00:19:05,160 Speaker 1: what when there's so much uncertainty. It's a very good question, 334 00:19:05,160 --> 00:19:06,600 Speaker 1: you know. I think you would say that there's some 335 00:19:06,680 --> 00:19:10,240 Speaker 1: lost time really maybe all three carriers involved, because certainly 336 00:19:10,280 --> 00:19:13,600 Speaker 1: the top strategy lines were focused on on this and 337 00:19:13,640 --> 00:19:16,119 Speaker 1: in Washington, d C rather than out in the field. 338 00:19:16,720 --> 00:19:19,960 Speaker 1: I don't think it's you know, ultimately damaging. I think 339 00:19:19,960 --> 00:19:22,080 Speaker 1: they all have good prospects. You know, we may see 340 00:19:22,160 --> 00:19:25,199 Speaker 1: change and see ed which would in some ways be unfortunate, 341 00:19:25,880 --> 00:19:28,480 Speaker 1: but I think they can get past that level of damage. 342 00:19:28,840 --> 00:19:31,919 Speaker 1: These deals would whoever would win, would be transformative and 343 00:19:31,960 --> 00:19:34,439 Speaker 1: may have been worth the time risk, if not the 344 00:19:34,520 --> 00:19:38,080 Speaker 1: dollar risk. So Canadian Pacific. Now I guess from a 345 00:19:38,119 --> 00:19:41,200 Speaker 1: regulatar perspective, seems to be in the driver's seat here. 346 00:19:41,320 --> 00:19:46,040 Speaker 1: But there offers actually lower than what Canadian National did. 347 00:19:46,160 --> 00:19:48,320 Speaker 1: So are they have to raise their offer or can 348 00:19:48,359 --> 00:19:51,480 Speaker 1: there twenty seven billion dollar offers still win the day? 349 00:19:52,119 --> 00:19:54,400 Speaker 1: I think at this point it probably wins the day. 350 00:19:54,480 --> 00:19:56,520 Speaker 1: So the key thing, and you may remember, Paul, is 351 00:19:56,760 --> 00:20:00,080 Speaker 1: the UH the voting trust issue if if C he 352 00:20:00,200 --> 00:20:03,080 Speaker 1: has approved. If you if you were a Ryott Pennsy Southern, 353 00:20:03,160 --> 00:20:05,439 Speaker 1: your board and your chry was voted to approve the 354 00:20:05,440 --> 00:20:08,800 Speaker 1: CP deal, you could get paid almost instantly if you 355 00:20:08,840 --> 00:20:11,120 Speaker 1: were to continue with the CN deal, which I don't 356 00:20:11,160 --> 00:20:13,240 Speaker 1: think will happen, but if you work to you would 357 00:20:13,240 --> 00:20:17,480 Speaker 1: have to take the entire regulatory review process, time and risk. 358 00:20:18,200 --> 00:20:20,320 Speaker 1: So the question is is you know it's three hundred 359 00:20:20,359 --> 00:20:25,080 Speaker 1: today or maybe in a year or more. So that's 360 00:20:25,080 --> 00:20:27,280 Speaker 1: why they feel they don't need to raise that they 361 00:20:27,280 --> 00:20:31,359 Speaker 1: can win with a lower face price face price offer, 362 00:20:33,200 --> 00:20:38,960 Speaker 1: are there? UH this deal would have gone to Canadian 363 00:20:39,080 --> 00:20:43,880 Speaker 1: National Railway and maybe it goes to Canadian Pacific now 364 00:20:44,359 --> 00:20:46,840 Speaker 1: losing Kansas City Southern. It just strikes me as an 365 00:20:46,840 --> 00:20:50,720 Speaker 1: American that we seem to be seating power to the north. 366 00:20:53,640 --> 00:20:57,359 Speaker 1: The railroaders, you may recall, have always viewed this as 367 00:20:57,400 --> 00:21:01,159 Speaker 1: a North American venture. After all, the CEO of the 368 00:21:01,160 --> 00:21:05,920 Speaker 1: Canadian Pacific UH is an American. Most of the transformation 369 00:21:06,000 --> 00:21:11,679 Speaker 1: of c N under Hunter Harrison and American were Americans. So, um, 370 00:21:11,720 --> 00:21:13,920 Speaker 1: you know, from a rail shipper and a rail investor, 371 00:21:13,960 --> 00:21:16,680 Speaker 1: you could buy Canadian Pacific and sell Union Pacific or 372 00:21:16,760 --> 00:21:19,880 Speaker 1: vice versa. That we don't view it that way. In fact, 373 00:21:19,960 --> 00:21:21,840 Speaker 1: it would be more likely if somebody were to go 374 00:21:21,920 --> 00:21:24,119 Speaker 1: buy an American were trying to buy one of the 375 00:21:24,119 --> 00:21:28,680 Speaker 1: two Canadian headquartered railroads, that would raise nationalistic fears than 376 00:21:28,760 --> 00:21:31,720 Speaker 1: a fear about somebody buying the smallest American railroad, which 377 00:21:31,720 --> 00:21:34,040 Speaker 1: really is a play in Mexico, the third country we 378 00:21:34,040 --> 00:21:37,640 Speaker 1: haven't talked about. Yes, let's talk about this deal strategically. 379 00:21:37,680 --> 00:21:41,119 Speaker 1: Let's say Canadian Pacific gets Kansas City Southern. Talk to 380 00:21:41,200 --> 00:21:45,000 Speaker 1: us about the benefits of putting those two roads together. Well, 381 00:21:45,040 --> 00:21:46,639 Speaker 1: you know, and I want to say this to if 382 00:21:46,680 --> 00:21:49,280 Speaker 1: c N had been able to do this without competition 383 00:21:49,440 --> 00:21:51,520 Speaker 1: or under the old rules, they would have gotten this 384 00:21:51,680 --> 00:21:56,080 Speaker 1: the old rules, and this does not reduce competition questions 385 00:21:56,080 --> 00:21:58,439 Speaker 1: as to enhance it for CP under the rules of 386 00:21:58,520 --> 00:22:02,200 Speaker 1: nearly presenting that it does and hurt anything that currently exists. 387 00:22:03,000 --> 00:22:05,360 Speaker 1: Would link you know, every railroad now wants to get 388 00:22:05,400 --> 00:22:07,439 Speaker 1: access to more water, so it would get them to 389 00:22:07,520 --> 00:22:09,760 Speaker 1: the US Gulf and get them all the way to Mexico. 390 00:22:09,880 --> 00:22:13,679 Speaker 1: It would link the autoly industry from parts coming in 391 00:22:14,320 --> 00:22:19,280 Speaker 1: manufacturing in Mexico. Detroit as well as in Ontario would 392 00:22:19,280 --> 00:22:22,120 Speaker 1: all be linked. In addition, corn grown into the code 393 00:22:22,200 --> 00:22:25,800 Speaker 1: is as the largest US import into Mexico and so 394 00:22:26,000 --> 00:22:28,280 Speaker 1: they have infertile growing fields there and the end up 395 00:22:28,320 --> 00:22:31,399 Speaker 1: single line service. So you know the it would create 396 00:22:31,520 --> 00:22:35,040 Speaker 1: real power north South and most of the rail industry 397 00:22:35,040 --> 00:22:37,159 Speaker 1: as you well call as focused east West. You know, 398 00:22:37,359 --> 00:22:40,760 Speaker 1: containers from l A inbound to Chicago and that type 399 00:22:40,760 --> 00:22:45,600 Speaker 1: of thing. Does it, though, um reduce the amount of 400 00:22:45,640 --> 00:22:49,240 Speaker 1: competition in the industry, I mean it must it's CP 401 00:22:50,240 --> 00:22:52,320 Speaker 1: if CPA were to win at the answer is no, 402 00:22:52,600 --> 00:22:55,720 Speaker 1: because they only touch at one point in Kansas City. 403 00:22:55,760 --> 00:22:58,679 Speaker 1: So you know, it does create more competitive options, it 404 00:22:58,760 --> 00:23:01,880 Speaker 1: doesn't really reduce rail competition. One of them. You bring 405 00:23:01,960 --> 00:23:04,920 Speaker 1: up a point the STV views this as railroad competition. 406 00:23:04,960 --> 00:23:08,600 Speaker 1: There's fewer railroads now, etcetera. They ignore the fact that 407 00:23:08,680 --> 00:23:12,159 Speaker 1: this North South railroad parallels the Mississippi River, which is 408 00:23:12,200 --> 00:23:15,920 Speaker 1: a huge freight you know highway, as well as the 409 00:23:15,960 --> 00:23:20,240 Speaker 1: actual highway system, the subsidized you know, interstate highway system. 410 00:23:20,280 --> 00:23:24,040 Speaker 1: So from the shipper point of view, really neither reduces 411 00:23:24,119 --> 00:23:27,000 Speaker 1: competition in a big overall in a big, big way, 412 00:23:27,040 --> 00:23:30,480 Speaker 1: but CP certainly does not. Hey, Tony, we hear a 413 00:23:30,520 --> 00:23:34,280 Speaker 1: lot are doing adds to it? Yeah, we we we 414 00:23:34,480 --> 00:23:36,600 Speaker 1: hear a lot from across the industry's really over the 415 00:23:36,680 --> 00:23:38,920 Speaker 1: last couple of quarters. And we listen to earnings calls 416 00:23:38,960 --> 00:23:41,359 Speaker 1: about the supply chain issues in this country. Give us 417 00:23:41,400 --> 00:23:43,240 Speaker 1: a sense of mer perspective from the railroad and the 418 00:23:43,280 --> 00:23:46,440 Speaker 1: trucker's kind of how bad is it? Uh? When is 419 00:23:46,440 --> 00:23:48,919 Speaker 1: it going to get better? Do you think? So? It 420 00:23:49,119 --> 00:23:51,560 Speaker 1: is bad, but it's not fatal. Um, you and I 421 00:23:51,600 --> 00:23:55,199 Speaker 1: have lived through worse. Um. This is, you know, a 422 00:23:55,320 --> 00:23:58,879 Speaker 1: total supply chain issue in which continuing events. Think of 423 00:23:58,920 --> 00:24:00,919 Speaker 1: this is not a rock and pond, but you know 424 00:24:01,000 --> 00:24:03,920 Speaker 1: the biggest boulder you've seen. So the waves come and 425 00:24:03,960 --> 00:24:05,760 Speaker 1: then they come again. If you shut a port down 426 00:24:05,760 --> 00:24:09,040 Speaker 1: in China because of a new COVID. You know outbreak 427 00:24:09,440 --> 00:24:11,760 Speaker 1: that affects ships coming into l a Long Beach. They're 428 00:24:11,840 --> 00:24:14,640 Speaker 1: they're forty three stacked outside of the Valley Long, which 429 00:24:14,640 --> 00:24:17,440 Speaker 1: it looks like a D Day photo. You have shortages 430 00:24:17,480 --> 00:24:21,200 Speaker 1: of warehouse people, shortage support people. You have railroad issues 431 00:24:21,200 --> 00:24:23,879 Speaker 1: because the boxes are staying in their terminals which are 432 00:24:23,920 --> 00:24:26,640 Speaker 1: meant to be through stations, and they're not enough truck 433 00:24:26,720 --> 00:24:29,560 Speaker 1: drivers or wherehouse people to handle those boxes. So it 434 00:24:29,680 --> 00:24:33,000 Speaker 1: is a system one problem. Rails are not covering themselves 435 00:24:33,000 --> 00:24:36,080 Speaker 1: in glory uh this year. They did pretty well last 436 00:24:36,160 --> 00:24:38,960 Speaker 1: year in the first stages of the recovery. But they're 437 00:24:39,000 --> 00:24:41,520 Speaker 1: they're they're part of the issue now. They get a 438 00:24:41,520 --> 00:24:44,240 Speaker 1: lot of press. Remember Churchill's quote, they've let a good 439 00:24:44,280 --> 00:24:48,160 Speaker 1: crisis go and used So ship or trade associations are 440 00:24:48,240 --> 00:24:51,439 Speaker 1: piling on on railroads because they can. That's how the 441 00:24:51,480 --> 00:24:54,359 Speaker 1: game is played. When will it get done? Probably done 442 00:24:54,440 --> 00:24:56,959 Speaker 1: until early next year. But it is not something that 443 00:24:57,000 --> 00:25:00,760 Speaker 1: Wilwoods themselves can solve, and if that they may be done. 444 00:25:00,760 --> 00:25:03,560 Speaker 1: If you talk to most international shippers, it's the water. 445 00:25:04,280 --> 00:25:06,960 Speaker 1: This is the biggest problem not to land all right, Tony, 446 00:25:07,000 --> 00:25:08,720 Speaker 1: thank you so much for joining us to appreciate it 447 00:25:08,760 --> 00:25:12,639 Speaker 1: as always expert opinion Tony Hatch railroad, trucking, transportation, animals 448 00:25:12,720 --> 00:25:16,280 Speaker 1: for a b H Consulting. He's recovering this sector for decades. 449 00:25:16,320 --> 00:25:18,919 Speaker 1: He's got the goods there. We appreciate it. Thanks for 450 00:25:18,960 --> 00:25:22,479 Speaker 1: listening to the Bloomberg Markets podcast. You can subscribe and 451 00:25:22,520 --> 00:25:26,600 Speaker 1: listen to interviews with Apple Podcasts or whatever podcast platform 452 00:25:26,640 --> 00:25:29,920 Speaker 1: you prefer. I'm Matt Miller. I'm on Twitter at Matt 453 00:25:29,960 --> 00:25:33,760 Speaker 1: Miller three. On Fall Sweeney, I'm on Twitter at pt 454 00:25:33,920 --> 00:25:36,920 Speaker 1: Sweeney before the podcast. You can always catch us worldwide 455 00:25:36,960 --> 00:25:37,800 Speaker 1: at Bloomberg Radio