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 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,799 Speaker 1: at Bloomberg dot com slash podcast. You know, m n A, 7 00:00:23,079 --> 00:00:25,200 Speaker 1: it's merger Monday, It's back today. I got a couple 8 00:00:25,200 --> 00:00:28,360 Speaker 1: of pretty big deals, including Goodyear Tire buying Cooper Tire, 9 00:00:28,400 --> 00:00:31,240 Speaker 1: which I thought was a pretty interesting. Uh deal. There, 10 00:00:31,320 --> 00:00:33,120 Speaker 1: there's I didn't you know, there's still deals to be 11 00:00:33,200 --> 00:00:36,040 Speaker 1: done out there in despite the pandemic, was a big 12 00:00:36,120 --> 00:00:38,320 Speaker 1: year for m n A. Let's get the latest. We 13 00:00:38,400 --> 00:00:40,760 Speaker 1: do that with Rob Brown. He's a managing director and 14 00:00:40,840 --> 00:00:45,360 Speaker 1: CEO of North America Fort Lincoln International based in Chicago. Rob, 15 00:00:45,400 --> 00:00:47,959 Speaker 1: thanks so much for joining us here. You know, when 16 00:00:48,000 --> 00:00:49,720 Speaker 1: I was a banker, it was all about hopping on 17 00:00:49,760 --> 00:00:53,200 Speaker 1: a plane going to see companies, see clients, get deals done. 18 00:00:53,720 --> 00:00:56,560 Speaker 1: That's how deals really got done. And so I'm wondering, 19 00:00:56,920 --> 00:01:00,680 Speaker 1: in that world of pandemic, how are you guys doing business? 20 00:01:01,000 --> 00:01:04,960 Speaker 1: Talk to us about that, Well, it pretty incredibly Uh. 21 00:01:05,000 --> 00:01:08,120 Speaker 1: The M and A world went uh much more virtual, 22 00:01:08,120 --> 00:01:11,679 Speaker 1: in some cases totally virtual, uh, with very little interruption. 23 00:01:11,880 --> 00:01:15,520 Speaker 1: Because I I agree with you when when the pandemic 24 00:01:15,840 --> 00:01:19,280 Speaker 1: really forced the economy to shut down. Um, the M 25 00:01:19,280 --> 00:01:20,920 Speaker 1: and A market shut down for a period of time, 26 00:01:21,080 --> 00:01:24,240 Speaker 1: and they went from kind of a slow saw at 27 00:01:24,240 --> 00:01:26,640 Speaker 1: the end of the second quarter to the floodgates opening 28 00:01:26,720 --> 00:01:29,399 Speaker 1: up when you got in a third and fourth quarter. UM. 29 00:01:29,440 --> 00:01:33,040 Speaker 1: But specific to your question, you know, overnight everybody had 30 00:01:33,040 --> 00:01:38,000 Speaker 1: to become very comfortable with some form of video technology. 31 00:01:38,400 --> 00:01:40,880 Speaker 1: A lot of due diligence was moving virtual anyway through 32 00:01:40,959 --> 00:01:45,360 Speaker 1: virtual data rooms. But UM, you know, it became clear 33 00:01:45,680 --> 00:01:48,880 Speaker 1: that the need to put money to work by private 34 00:01:48,920 --> 00:01:53,280 Speaker 1: equity groups, the need to continue to grow by strategic acquirers. UM, 35 00:01:53,360 --> 00:01:55,680 Speaker 1: these companies were not going to let the inability to 36 00:01:55,680 --> 00:01:58,080 Speaker 1: meet in person get in their way of getting deals done. 37 00:01:58,080 --> 00:02:01,120 Speaker 1: In fact, we had several deals in any where the 38 00:02:01,360 --> 00:02:04,720 Speaker 1: buyer never saw the company, never met anybody in person. 39 00:02:04,800 --> 00:02:09,800 Speaker 1: They were done totally virtually. And yet UM was a 40 00:02:09,800 --> 00:02:12,360 Speaker 1: pretty hot year for deals. I mean it wasn't far 41 00:02:12,480 --> 00:02:16,960 Speaker 1: off what we saw UM pre COVID. What do you 42 00:02:16,960 --> 00:02:21,360 Speaker 1: expect from one I expected to continue. And if you 43 00:02:21,400 --> 00:02:23,920 Speaker 1: look at you know, when you look at coming into 44 00:02:24,680 --> 00:02:28,240 Speaker 1: and you um, we have an annual growth conference we 45 00:02:28,280 --> 00:02:29,760 Speaker 1: do at the end of the year, and at the 46 00:02:29,800 --> 00:02:32,440 Speaker 1: end of two thousand nineteen, we surveyed hundreds of private 47 00:02:32,440 --> 00:02:35,080 Speaker 1: equity groups and said, what's your number one goal coming 48 00:02:35,080 --> 00:02:37,840 Speaker 1: into The number one goal was to put capital to 49 00:02:37,880 --> 00:02:40,200 Speaker 1: work at a faster clip. So you came into the 50 00:02:40,240 --> 00:02:42,359 Speaker 1: year with that as your goal. You had several months 51 00:02:42,400 --> 00:02:44,919 Speaker 1: where there was an inability to put capital to work. 52 00:02:45,400 --> 00:02:47,760 Speaker 1: And so what happened at the end of the year, 53 00:02:47,760 --> 00:02:49,680 Speaker 1: and as you know, why the M and A market 54 00:02:49,720 --> 00:02:52,400 Speaker 1: picked up is anybody that had a good COVID story 55 00:02:52,400 --> 00:02:54,920 Speaker 1: to tell. There were investors willing to listen to the 56 00:02:54,960 --> 00:02:57,639 Speaker 1: story and invest in it. And that continued into this year. 57 00:02:57,680 --> 00:02:59,800 Speaker 1: And so we're still, by the way, rob, where where 58 00:03:00,040 --> 00:03:02,480 Speaker 1: is all that money coming from? Is this stimulus money 59 00:03:02,480 --> 00:03:05,040 Speaker 1: that's flooding the market? I mean, if I look at 60 00:03:05,080 --> 00:03:08,639 Speaker 1: the average premium last year, it rose back to bonkers 61 00:03:08,680 --> 00:03:11,280 Speaker 1: like well over what we saw in the three years 62 00:03:11,320 --> 00:03:13,760 Speaker 1: before that. Yeah, I think where a lot of it's 63 00:03:13,800 --> 00:03:17,799 Speaker 1: coming from our institutional investors with interest rates that essentially zero. Right, 64 00:03:18,440 --> 00:03:21,520 Speaker 1: people are more willing to put money into private equity funds. 65 00:03:21,520 --> 00:03:23,160 Speaker 1: Look at SPACs. Look at the amount of SPACs that 66 00:03:23,200 --> 00:03:26,520 Speaker 1: have been raised in the last year. It's it's mind boggling. 67 00:03:26,560 --> 00:03:30,079 Speaker 1: So I think the alternative asset class of which private 68 00:03:30,120 --> 00:03:34,240 Speaker 1: equity debt fund and spact, with interest rates where they're at, 69 00:03:34,320 --> 00:03:37,440 Speaker 1: and the returns that these funds have consistently driven, they're 70 00:03:37,520 --> 00:03:39,440 Speaker 1: able to continue to raise money. And then you put 71 00:03:39,440 --> 00:03:41,080 Speaker 1: on top of it the amount of cash sitting on 72 00:03:41,120 --> 00:03:43,520 Speaker 1: the balance sheets of the fortune five hundred. There is 73 00:03:43,520 --> 00:03:45,680 Speaker 1: still more capital that wants to be put to work 74 00:03:45,680 --> 00:03:47,960 Speaker 1: to buy companies than there are companies to buy. And 75 00:03:48,000 --> 00:03:50,920 Speaker 1: when you have that imbalance, you're going to have a 76 00:03:51,000 --> 00:03:55,480 Speaker 1: high level of activity at high values. So interesting you 77 00:03:55,840 --> 00:03:58,200 Speaker 1: mentioned SPACs. Rob, talk to us about how you, as 78 00:03:58,240 --> 00:04:00,160 Speaker 1: an M and a bank or think about spack. I 79 00:04:00,160 --> 00:04:03,480 Speaker 1: mean it's if I'm a business owner, that's another exit 80 00:04:03,560 --> 00:04:06,080 Speaker 1: for me. If you will, UM, how do you talk 81 00:04:06,160 --> 00:04:09,360 Speaker 1: to your clients about specs? UH? It is, well, first 82 00:04:09,360 --> 00:04:11,000 Speaker 1: of all, we're talking to them more and more about 83 00:04:11,000 --> 00:04:13,240 Speaker 1: spects because the number of SPACs and the amount of 84 00:04:13,240 --> 00:04:17,640 Speaker 1: money going into SPACs UH is incredible, and and so 85 00:04:17,960 --> 00:04:21,000 Speaker 1: for the right seller. It's a it's a it's a 86 00:04:21,040 --> 00:04:23,440 Speaker 1: good alternative. If you're a business that's looking to sell, 87 00:04:23,560 --> 00:04:26,040 Speaker 1: you need additional growth capital, you can access the public 88 00:04:26,080 --> 00:04:29,680 Speaker 1: markets afterwards. Um, it can be the right seller. And 89 00:04:30,200 --> 00:04:32,440 Speaker 1: they can pay high prices too, because if you if 90 00:04:32,480 --> 00:04:34,240 Speaker 1: you look at their cost to capital, you look at 91 00:04:34,240 --> 00:04:37,279 Speaker 1: the expectation of kind of the post trading and the 92 00:04:37,279 --> 00:04:40,520 Speaker 1: public markets, they've performed well. So it is a it 93 00:04:40,680 --> 00:04:44,880 Speaker 1: is another alternative for the right seller. It can take 94 00:04:44,920 --> 00:04:46,920 Speaker 1: a little bit longer, right, there's a little more regulatory 95 00:04:46,960 --> 00:04:49,359 Speaker 1: hurdles to go through. So if if speed and certainty 96 00:04:49,400 --> 00:04:51,359 Speaker 1: are really important to you, a spact may not be 97 00:04:51,440 --> 00:04:56,880 Speaker 1: the right alternative. However, if you accessing public equity and 98 00:04:56,920 --> 00:04:59,120 Speaker 1: public that post a deal is important to you, they 99 00:04:59,120 --> 00:05:01,080 Speaker 1: could be a very good by Are you, on the 100 00:05:01,080 --> 00:05:03,200 Speaker 1: other hand, are you making sure like your nut is 101 00:05:03,240 --> 00:05:05,920 Speaker 1: safe and you have a bugout bag next to the bed, 102 00:05:06,000 --> 00:05:09,720 Speaker 1: Because if people are willing to give um, you know, 103 00:05:09,839 --> 00:05:12,880 Speaker 1: Kaepernick a couple of hundred million dollars in the spack, 104 00:05:13,000 --> 00:05:17,320 Speaker 1: this market may not last much longer. Yeah, I I personally, 105 00:05:17,360 --> 00:05:19,440 Speaker 1: I don't know how all that s back money is 106 00:05:19,440 --> 00:05:21,839 Speaker 1: going to be put to work. But I think the 107 00:05:21,880 --> 00:05:24,360 Speaker 1: institutional investors that are putting money to these they're not 108 00:05:24,440 --> 00:05:26,040 Speaker 1: They're not dumb. I think what they're saying is will 109 00:05:26,080 --> 00:05:27,960 Speaker 1: interest rates to zero? If I put the money into 110 00:05:28,000 --> 00:05:30,400 Speaker 1: this back, This back has two years to find a company. 111 00:05:30,440 --> 00:05:33,000 Speaker 1: If they don't find a company, I get the money back, 112 00:05:33,200 --> 00:05:34,880 Speaker 1: and you know I didn't lose a lot of interest. 113 00:05:35,240 --> 00:05:37,520 Speaker 1: The issue will be is if they feel pressure to 114 00:05:37,520 --> 00:05:39,880 Speaker 1: put the money to work and they stretch and do 115 00:05:39,960 --> 00:05:43,600 Speaker 1: on the economics things. So real quickly, Rob, just give 116 00:05:43,640 --> 00:05:45,040 Speaker 1: us your thoughts. What are some of the hot sectors 117 00:05:45,040 --> 00:05:47,080 Speaker 1: we should be looking at for EM and activity this year? 118 00:05:47,960 --> 00:05:50,839 Speaker 1: So you know, from our perspective UM, and you know, 119 00:05:50,880 --> 00:05:52,560 Speaker 1: we had a we had a record year last year, 120 00:05:52,560 --> 00:05:54,320 Speaker 1: we had a huge back while coming to this year. 121 00:05:54,360 --> 00:05:56,320 Speaker 1: The two areas of the firm where we're seeing the 122 00:05:56,320 --> 00:06:00,680 Speaker 1: most activity broadly are in technology and in healthcare, where 123 00:06:00,720 --> 00:06:04,560 Speaker 1: you have the most secular growth the most need for capital. 124 00:06:04,600 --> 00:06:06,280 Speaker 1: Although I will say with that said, if I look 125 00:06:06,320 --> 00:06:09,279 Speaker 1: at our industrial group, our consumer group, our business services group, 126 00:06:09,960 --> 00:06:13,040 Speaker 1: they all have record backlogs. But but as a firm, 127 00:06:13,200 --> 00:06:17,479 Speaker 1: as a just level of activity, UM, technology and healthcare 128 00:06:18,000 --> 00:06:20,640 Speaker 1: UM are our areas where We're seeing tremendous growth, and 129 00:06:20,680 --> 00:06:22,839 Speaker 1: some of that secular growth, some of its bounced back, 130 00:06:23,080 --> 00:06:26,919 Speaker 1: bounced back from particularly the healthcare services side, where you know, 131 00:06:27,000 --> 00:06:29,200 Speaker 1: things may have slowed down and now there's a there's 132 00:06:29,240 --> 00:06:31,800 Speaker 1: kind of a makeup right on. Rob, Thanks so much 133 00:06:31,839 --> 00:06:33,600 Speaker 1: for your insight. It was great having you on the program. 134 00:06:33,680 --> 00:06:37,360 Speaker 1: Rob Brown is managing director and he runs North America 135 00:06:37,760 --> 00:06:41,880 Speaker 1: as CEO for Lincoln International. Now I want to bring 136 00:06:41,880 --> 00:06:46,800 Speaker 1: in Kevin Tynan. He's our senior auto's analyst at Bloomberg Intelligence. 137 00:06:46,880 --> 00:06:50,920 Speaker 1: And I feel kind of guilty Kevin, because I think 138 00:06:50,920 --> 00:06:54,360 Speaker 1: Paul is more excited for the Mustang mack one than 139 00:06:54,440 --> 00:06:58,040 Speaker 1: I am. Um, he's definitely put his down payment at 140 00:06:58,080 --> 00:07:01,200 Speaker 1: his local deal, already waiting or his car to arrive. 141 00:07:01,320 --> 00:07:04,760 Speaker 1: Is he going to be disappointed? No? I don't think so. 142 00:07:06,360 --> 00:07:09,640 Speaker 1: I think yeah, as I was looking at the numbers, 143 00:07:09,720 --> 00:07:12,680 Speaker 1: you know, the the internal combustion Mustang might not be 144 00:07:12,800 --> 00:07:17,120 Speaker 1: that much, you know, more long for this world though. Um, 145 00:07:17,160 --> 00:07:20,520 Speaker 1: you know I could see that drive train, you know, 146 00:07:20,560 --> 00:07:22,920 Speaker 1: being in that nameplate all the way across you know, 147 00:07:22,920 --> 00:07:25,800 Speaker 1: and not just this sort of suv thing that they're making, 148 00:07:25,840 --> 00:07:29,000 Speaker 1: but even into the sports cars over time. So, Kevin, 149 00:07:29,040 --> 00:07:32,280 Speaker 1: you you've told me and others you know, over the years. 150 00:07:32,520 --> 00:07:36,000 Speaker 1: You know, you know where Detroit really makes its money 151 00:07:36,080 --> 00:07:38,760 Speaker 1: is on trucks, uh in the U s here, so 152 00:07:39,360 --> 00:07:42,000 Speaker 1: is the EV market at niche market until the four 153 00:07:42,120 --> 00:07:44,720 Speaker 1: decides it wants to put it f one fifty e 154 00:07:44,800 --> 00:07:48,040 Speaker 1: V out on the market. I think, so, yeah, And 155 00:07:48,040 --> 00:07:50,120 Speaker 1: and and the other thing to Paul, you gotta remember 156 00:07:50,200 --> 00:07:54,360 Speaker 1: is that there's really been no automaker, you know, other 157 00:07:54,400 --> 00:07:58,600 Speaker 1: than Tesla advancing the e V narrative at all. So 158 00:07:59,240 --> 00:08:03,520 Speaker 1: you know, when cyber truck starts to come for that 159 00:08:03,640 --> 00:08:08,840 Speaker 1: full size pickup segment, and Ford and General Motors and 160 00:08:08,880 --> 00:08:13,040 Speaker 1: whoever else have an answer for that, and they actually 161 00:08:13,040 --> 00:08:14,960 Speaker 1: want to sell the product, you're gonna get a lot 162 00:08:15,000 --> 00:08:18,720 Speaker 1: of marketing might behind the technology that just hasn't been 163 00:08:18,760 --> 00:08:21,720 Speaker 1: there yet. Right, nobody's really talking about e vs other 164 00:08:21,800 --> 00:08:26,600 Speaker 1: than you know, media and Tesla fans. But you know 165 00:08:26,640 --> 00:08:28,680 Speaker 1: that's a lot of money that will come behind, right 166 00:08:28,720 --> 00:08:31,280 Speaker 1: because if if you think about it, full size pickup 167 00:08:31,320 --> 00:08:33,720 Speaker 1: is the largest segment in the US by revenue, not 168 00:08:33,840 --> 00:08:36,600 Speaker 1: by accident, it's because it's what's marketed to us. And 169 00:08:36,640 --> 00:08:38,240 Speaker 1: I think if you get some of that money. Going 170 00:08:38,280 --> 00:08:41,360 Speaker 1: after different segments or different druve train technologies, you'll get 171 00:08:41,360 --> 00:08:43,200 Speaker 1: a similar result is what you got with pick up. 172 00:08:43,280 --> 00:08:45,720 Speaker 1: I mean, I hope they're full size though, because I 173 00:08:45,760 --> 00:08:49,320 Speaker 1: look at the Rivan pickup truck and I look at 174 00:08:49,320 --> 00:08:52,199 Speaker 1: the Cyber truck. Um. I think the Bolinger is probably 175 00:08:52,240 --> 00:08:55,400 Speaker 1: the coolest electric option that's coming out. None of them 176 00:08:55,400 --> 00:08:58,360 Speaker 1: are really big. You know what, I want to move 177 00:08:58,440 --> 00:09:01,760 Speaker 1: back to America because I want to buy a giant truck. 178 00:09:01,840 --> 00:09:04,800 Speaker 1: I want to ram power wagon, you know, I want 179 00:09:05,160 --> 00:09:08,600 Speaker 1: something legit, maybe with a six point seven leader turbo diesel. 180 00:09:08,840 --> 00:09:13,000 Speaker 1: You can't get that from these millennials. No, But the 181 00:09:13,040 --> 00:09:15,959 Speaker 1: reality is, though, Mas that you know, I just had 182 00:09:15,960 --> 00:09:18,439 Speaker 1: a two fifty Super Duty that I was testing, and 183 00:09:18,920 --> 00:09:20,920 Speaker 1: you know, I took it to the used record store 184 00:09:20,960 --> 00:09:23,360 Speaker 1: in Princeton. I couldn't get in the parking garage, you know. 185 00:09:23,480 --> 00:09:28,280 Speaker 1: So so you know, you have to there's a time 186 00:09:28,280 --> 00:09:30,160 Speaker 1: and a place for that kind of vehicle, and there's 187 00:09:30,160 --> 00:09:32,319 Speaker 1: a lot of the United States where it is appropriate. 188 00:09:32,360 --> 00:09:35,280 Speaker 1: But you know, it's it's going to be difficult, considering 189 00:09:35,320 --> 00:09:38,640 Speaker 1: congestion and infrastructure the way it is now for that 190 00:09:38,679 --> 00:09:41,160 Speaker 1: to be you know, the daily driver for most people, 191 00:09:42,520 --> 00:09:46,840 Speaker 1: was it a tremor? Was it a tremor, Kevin, tremor packs, 192 00:09:46,920 --> 00:09:49,920 Speaker 1: It was just a regular super duty Matt. You're you're 193 00:09:49,920 --> 00:09:52,760 Speaker 1: in Europe, You're in Berlin. Are there any pickup trucks 194 00:09:53,000 --> 00:09:56,560 Speaker 1: in Europe? There are, but they're they're far few and 195 00:09:56,600 --> 00:10:01,120 Speaker 1: far between. You know, I um love to get one here, 196 00:10:01,160 --> 00:10:03,440 Speaker 1: but they just are too big to fit through your 197 00:10:03,480 --> 00:10:06,720 Speaker 1: your average road. They just won't fit through the street, Kevin. 198 00:10:06,880 --> 00:10:09,160 Speaker 1: And that's a that's a really interesting point too, because 199 00:10:09,240 --> 00:10:12,800 Speaker 1: you know, as as Ford and General Motors, you know, 200 00:10:12,840 --> 00:10:16,480 Speaker 1: Ford especially talking about going fully e V and you know, 201 00:10:16,760 --> 00:10:19,200 Speaker 1: making e vs for Europe. You know, that's been a 202 00:10:19,240 --> 00:10:22,240 Speaker 1: problem over the years, even with internal combustion, is that 203 00:10:22,280 --> 00:10:26,440 Speaker 1: the vehicle architecture that works in Europe doesn't work in 204 00:10:26,480 --> 00:10:29,880 Speaker 1: the United States, you know. So where Ford was doing 205 00:10:29,920 --> 00:10:32,960 Speaker 1: small cars for Europe, that never really translated here, and 206 00:10:33,000 --> 00:10:35,040 Speaker 1: that's why you've seen those companies just get out of 207 00:10:35,080 --> 00:10:38,680 Speaker 1: those regions altogether. So it's gonna be interesting to see 208 00:10:38,720 --> 00:10:43,120 Speaker 1: how to sort of globalize the platform where it works 209 00:10:43,320 --> 00:10:46,720 Speaker 1: in Europe, where you have congestion and infrastructure issues that 210 00:10:46,720 --> 00:10:49,040 Speaker 1: are very different than what we buy here. In the 211 00:10:49,080 --> 00:10:51,480 Speaker 1: United States, and I hope we get the Bronco over here. 212 00:10:51,559 --> 00:10:53,679 Speaker 1: I hope Ford doesn't jip me on this because you know, 213 00:10:54,160 --> 00:10:57,040 Speaker 1: ever since they started this one Ford strategy and said 214 00:10:57,040 --> 00:10:59,240 Speaker 1: they were going to bring everything over here, but there's 215 00:10:59,280 --> 00:11:01,520 Speaker 1: no there's no Rapture over here, you know, they f 216 00:11:01,640 --> 00:11:04,040 Speaker 1: one fifty. Rapture has long been my favorite car of 217 00:11:04,080 --> 00:11:06,839 Speaker 1: all time. Um. I'm excited for the Broncho to this 218 00:11:06,960 --> 00:11:10,600 Speaker 1: place that when they finally put a V eight in it. Yeah, well, 219 00:11:11,040 --> 00:11:13,800 Speaker 1: you know again, and that's the that's the inconsistency across 220 00:11:13,840 --> 00:11:17,360 Speaker 1: the regions, right, you know, and and historically you know, 221 00:11:17,440 --> 00:11:20,600 Speaker 1: fuel prices there versus here, and it just you can't 222 00:11:20,679 --> 00:11:25,000 Speaker 1: have a global product that works everywhere. Um. And it'll 223 00:11:25,000 --> 00:11:27,040 Speaker 1: be interesting to see if that means that it's e 224 00:11:27,160 --> 00:11:29,600 Speaker 1: vs that work everywhere. But I still think you're gonna 225 00:11:29,600 --> 00:11:33,680 Speaker 1: need bigger vehicles, um, you know, to work in the US. 226 00:11:33,720 --> 00:11:37,160 Speaker 1: That is going to be difficult sell in in Europe. 227 00:11:37,800 --> 00:11:39,679 Speaker 1: All right, So, Kevin, I'm looking at the auto stocks 228 00:11:39,720 --> 00:11:45,040 Speaker 1: for GM and whatever the new uh Chrysler is whatever 229 00:11:48,240 --> 00:11:50,400 Speaker 1: over the trailing twelve months. What's the what's the bull 230 00:11:50,480 --> 00:11:53,880 Speaker 1: case here? Yeah? I think you know, they're they're what 231 00:11:54,080 --> 00:11:56,600 Speaker 1: you're gonna get or what you would start to think 232 00:11:56,640 --> 00:12:01,480 Speaker 1: what happen would be that either the Tesla Neo you know, 233 00:12:01,720 --> 00:12:04,120 Speaker 1: Rivians of the world would come back down to earth 234 00:12:04,160 --> 00:12:07,760 Speaker 1: in terms of valuation, or you're going to get the legacy. 235 00:12:07,800 --> 00:12:15,680 Speaker 1: Automakers who have global engineering, design, production distribution, after sales 236 00:12:16,480 --> 00:12:20,880 Speaker 1: scale already in place will get recognized, you know, for that. 237 00:12:20,920 --> 00:12:24,000 Speaker 1: And I think Volkswagen is a perfect example is that, 238 00:12:24,559 --> 00:12:28,240 Speaker 1: you know, if they hit their e V target, they'll 239 00:12:28,240 --> 00:12:32,280 Speaker 1: sell five hundred thousand units about you know, eighteen months 240 00:12:32,360 --> 00:12:36,719 Speaker 1: after really starting or committing to it, you know, and 241 00:12:36,800 --> 00:12:40,400 Speaker 1: Tesla took eight years to get there. So I think 242 00:12:40,480 --> 00:12:43,360 Speaker 1: that when the big automakers they start, they will start 243 00:12:43,400 --> 00:12:46,920 Speaker 1: to have to get recognized for that ability to do 244 00:12:46,960 --> 00:12:49,199 Speaker 1: the same thing. Okay, when when the time comes and 245 00:12:49,280 --> 00:12:52,600 Speaker 1: profitabilities there, we can do evs. By the way, By 246 00:12:52,600 --> 00:12:54,640 Speaker 1: the way, how sick will it be a VW spins 247 00:12:54,640 --> 00:12:57,280 Speaker 1: off Porsche? Because that is a unit they own that 248 00:12:57,400 --> 00:13:00,960 Speaker 1: is worth more than their entire market cap. Yeah, well 249 00:13:01,160 --> 00:13:03,400 Speaker 1: that you know, evaluations get a little funny right now. 250 00:13:03,480 --> 00:13:06,680 Speaker 1: So um, all right, Kevin, we'll be on the outlook 251 00:13:06,720 --> 00:13:08,640 Speaker 1: for that. But Kevin Tyne and Senior Auto's animals for 252 00:13:08,640 --> 00:13:13,880 Speaker 1: Bloomberg Intelligence. We appreciate that as always. Now let's learn 253 00:13:13,880 --> 00:13:15,760 Speaker 1: more about what's going on in markets. As you heard 254 00:13:15,760 --> 00:13:20,520 Speaker 1: from Greg, stocks are down, and the reason I thought 255 00:13:20,800 --> 00:13:24,160 Speaker 1: was that UM rates are up, but they're not really 256 00:13:24,280 --> 00:13:27,560 Speaker 1: rates are pretty flat right now. UM. The big gainers 257 00:13:27,559 --> 00:13:29,680 Speaker 1: that we see in these markets are really the metals 258 00:13:29,720 --> 00:13:32,920 Speaker 1: and other commodities. Let's bring in Sarah Ponzac, she's Bloomberg 259 00:13:33,320 --> 00:13:37,319 Speaker 1: Cross Asset reporter for US and UM. Sarah, is it 260 00:13:37,400 --> 00:13:40,400 Speaker 1: is it really the rates even though right now they're 261 00:13:40,440 --> 00:13:44,360 Speaker 1: still pretty flat UM that have pushed stocks back a 262 00:13:44,360 --> 00:13:47,480 Speaker 1: little bit. It does seem to be the case. I mean, 263 00:13:47,720 --> 00:13:51,559 Speaker 1: overnight we did see tenure yields make run towards one forty. 264 00:13:51,760 --> 00:13:53,959 Speaker 1: We did have Christine Legard of the e c B 265 00:13:54,160 --> 00:13:55,960 Speaker 1: come out and say that the e c B is 266 00:13:56,400 --> 00:14:00,440 Speaker 1: closely monitoring longer term nominal bond yield That is just 267 00:14:00,600 --> 00:14:04,040 Speaker 1: around the time, right. I love when the central bankers say, 268 00:14:04,200 --> 00:14:07,280 Speaker 1: we are doing our job. We're still at work. We're 269 00:14:07,280 --> 00:14:09,800 Speaker 1: still we're still working even though there's a global pandemic. 270 00:14:09,840 --> 00:14:12,000 Speaker 1: But that's really what reverse yields. But we have to 271 00:14:12,000 --> 00:14:14,560 Speaker 1: really take into contact the move that we have seen 272 00:14:14,600 --> 00:14:16,480 Speaker 1: over the past couple of weeks. If we just look 273 00:14:16,480 --> 00:14:19,400 Speaker 1: at ten year nominal yields, for example, we've seen a 274 00:14:19,480 --> 00:14:22,000 Speaker 1: run of about twenty three basis points or so that's 275 00:14:22,000 --> 00:14:25,880 Speaker 1: the fastest monthly rise since early At the same time, 276 00:14:26,200 --> 00:14:28,680 Speaker 1: if you look at real yields right now, yes, granted 277 00:14:28,880 --> 00:14:33,920 Speaker 1: still very deeply negative, but ten year real yields now 278 00:14:33,960 --> 00:14:36,960 Speaker 1: stand at negative eighty one basis points. That is very 279 00:14:37,000 --> 00:14:39,920 Speaker 1: close to punching through levels that we saw a few 280 00:14:40,000 --> 00:14:42,800 Speaker 1: months ago to become the highest since this summer. And 281 00:14:42,880 --> 00:14:45,440 Speaker 1: this compares too if we look where we closed out 282 00:14:45,480 --> 00:14:48,200 Speaker 1: the year or where we started the year. On January four, 283 00:14:48,320 --> 00:14:51,840 Speaker 1: we had a real tenure yield of negative one point 284 00:14:52,000 --> 00:14:55,160 Speaker 1: one so we have really seen the way how do 285 00:14:55,200 --> 00:14:57,640 Speaker 1: you so how do you compute that? Exactly? You take 286 00:14:57,920 --> 00:15:00,520 Speaker 1: the ten year yield one point three four and then 287 00:15:00,560 --> 00:15:03,680 Speaker 1: you subtract what cp I X food and oil. So 288 00:15:03,680 --> 00:15:06,320 Speaker 1: this is subtracting out tips to get a sense of 289 00:15:06,400 --> 00:15:09,960 Speaker 1: inflation expectations going forward. So this calculation would subtract out 290 00:15:09,960 --> 00:15:13,000 Speaker 1: tenure tips um and that is really the case. I mean, 291 00:15:13,080 --> 00:15:18,280 Speaker 1: we are seeing inflation expectations rise. Granted, there is still 292 00:15:18,320 --> 00:15:20,720 Speaker 1: an argument over whether or not we are going to 293 00:15:20,760 --> 00:15:24,640 Speaker 1: see true rampant inflation. But we also have further discussion, 294 00:15:24,680 --> 00:15:26,800 Speaker 1: at least in the United States, of another multi trillion 295 00:15:26,840 --> 00:15:30,480 Speaker 1: dollar fiscal package and then more stimulus down the line. 296 00:15:30,520 --> 00:15:33,640 Speaker 1: I mean, people talking of another three trillion package down 297 00:15:33,680 --> 00:15:36,160 Speaker 1: the line. And you also have an economy that is 298 00:15:36,200 --> 00:15:38,640 Speaker 1: regaining its footing. You have a vaccine rollout that is 299 00:15:38,680 --> 00:15:41,360 Speaker 1: going pretty well now around the globe. You have to 300 00:15:41,400 --> 00:15:43,680 Speaker 1: wonder what happens when you have an economy that is 301 00:15:43,720 --> 00:15:45,520 Speaker 1: doing well on its own. You also have plenty of 302 00:15:45,560 --> 00:15:48,240 Speaker 1: cash flush in the system. While some are starting to 303 00:15:48,240 --> 00:15:52,600 Speaker 1: believe now that we will see inflation start to rise, Yes, sir, 304 00:15:52,680 --> 00:15:55,160 Speaker 1: when you think about the reflation trade that folks are 305 00:15:55,200 --> 00:15:58,120 Speaker 1: increasingly talking about, and just inflation in general coming back 306 00:15:58,160 --> 00:16:01,120 Speaker 1: into the economy. I look to the g uh G 307 00:16:01,400 --> 00:16:04,560 Speaker 1: l c O screen on the Bloomberg terminal, the global commodities, 308 00:16:04,600 --> 00:16:07,560 Speaker 1: and you know, whether it's energy, whether it's metals, whether 309 00:16:07,560 --> 00:16:12,040 Speaker 1: it's agricultural products, you see, you know, double digit increases 310 00:16:12,080 --> 00:16:14,600 Speaker 1: across pretty much across the board on a year to 311 00:16:14,680 --> 00:16:17,960 Speaker 1: date basis. That's a pretty good indication that we're seeing 312 00:16:18,040 --> 00:16:21,240 Speaker 1: some inflation coming back into this economy. Oh, certainly it's 313 00:16:21,240 --> 00:16:24,680 Speaker 1: not just being reflected in break even inflation expectations are 314 00:16:24,720 --> 00:16:27,400 Speaker 1: in the bond market. We're seeing it reflected in commodities 315 00:16:27,480 --> 00:16:30,400 Speaker 1: front and center. You think about copper prices, for example, 316 00:16:30,440 --> 00:16:33,160 Speaker 1: over the weekend, rising above nine thousand dollars for the 317 00:16:33,200 --> 00:16:36,000 Speaker 1: first time in nine years and knocking on the door 318 00:16:36,080 --> 00:16:38,800 Speaker 1: really of all time highs that we're set back in. 319 00:16:39,760 --> 00:16:41,640 Speaker 1: At the same time, I look at my screen right now, 320 00:16:41,880 --> 00:16:44,000 Speaker 1: and we have an OPEC meeting coming up next week. 321 00:16:44,040 --> 00:16:46,360 Speaker 1: We we'll just add to the fun. But I look 322 00:16:46,400 --> 00:16:48,920 Speaker 1: at oil prices right now w T I now above 323 00:16:49,040 --> 00:16:53,840 Speaker 1: sixty one barrel Brent prices six sixty four, right, which 324 00:16:53,880 --> 00:16:56,240 Speaker 1: is amazing. Which is amazing because now we're starting to 325 00:16:56,280 --> 00:17:00,240 Speaker 1: see supplies come back online in the Texas area, right. 326 00:17:00,280 --> 00:17:03,040 Speaker 1: So now you're gonna start to see supply come back. 327 00:17:03,080 --> 00:17:05,240 Speaker 1: But I guess the bet that traders are making is 328 00:17:05,280 --> 00:17:08,520 Speaker 1: that demand is going to come back even stronger. That's 329 00:17:08,520 --> 00:17:10,879 Speaker 1: exactly the case. And while while the supply side of 330 00:17:10,920 --> 00:17:14,000 Speaker 1: the equation has certainly had an effect over the past year, 331 00:17:14,040 --> 00:17:16,439 Speaker 1: when you think about what has really driven oil markets 332 00:17:16,440 --> 00:17:19,320 Speaker 1: over the past year, it has been the demand side 333 00:17:19,320 --> 00:17:22,760 Speaker 1: of the equation, especially when we saw oil prices go negative. 334 00:17:22,800 --> 00:17:26,600 Speaker 1: I mean that feels like years ago now considering we're 335 00:17:26,600 --> 00:17:30,119 Speaker 1: looking at at a crude prices. Never forget it, right, 336 00:17:30,240 --> 00:17:33,879 Speaker 1: never forget it. Forget what a moment, But it seems 337 00:17:33,920 --> 00:17:37,560 Speaker 1: like years ago when you now have crude prices above 338 00:17:37,600 --> 00:17:40,080 Speaker 1: sixty dollars a barrel, and you have Goldman Sacks saying 339 00:17:40,119 --> 00:17:42,879 Speaker 1: that we could see crude prices above seventy dollars a 340 00:17:42,920 --> 00:17:45,360 Speaker 1: barrel in the coming months. We had a Marco Pappach 341 00:17:45,520 --> 00:17:48,879 Speaker 1: he's from clock Tower on our podcast last Friday, and 342 00:17:48,920 --> 00:17:51,560 Speaker 1: he said he's expecting us to reach eighty dollars a 343 00:17:51,640 --> 00:17:55,040 Speaker 1: barrel in a time not too far away. So when 344 00:17:55,040 --> 00:17:58,119 Speaker 1: you think about how far we've come, and yes, we 345 00:17:58,200 --> 00:18:02,160 Speaker 1: have seen some demand recover. Uh, the expectation is that 346 00:18:02,200 --> 00:18:05,200 Speaker 1: as the vaccine rollout goes smoothly, as we start to 347 00:18:05,280 --> 00:18:08,000 Speaker 1: hit critical mass, you get that feel of her community 348 00:18:08,320 --> 00:18:11,520 Speaker 1: that people will feel more comfortable. I mean, god forbid 349 00:18:11,520 --> 00:18:13,520 Speaker 1: going on planes, are getting on a cruise ship and 350 00:18:14,320 --> 00:18:16,560 Speaker 1: all of a sudden we will see global oil demand 351 00:18:16,720 --> 00:18:19,520 Speaker 1: not just recover, but you're also going to spee see 352 00:18:19,600 --> 00:18:23,439 Speaker 1: this immense global economic recovery that's going to see demand 353 00:18:23,480 --> 00:18:26,399 Speaker 1: just rise further from here. Sarah Ponzac, thank you so 354 00:18:26,480 --> 00:18:29,040 Speaker 1: much for joining us. We appreciate it as always giving 355 00:18:29,119 --> 00:18:32,040 Speaker 1: us h an update on all of the financial market. 356 00:18:32,080 --> 00:18:35,760 Speaker 1: Sarah Ponza, cross asset reporter for Bloomberg News, journey us 357 00:18:35,760 --> 00:18:38,399 Speaker 1: every day at this time. Matt, you know, I just 358 00:18:38,440 --> 00:18:40,400 Speaker 1: think it's I agree, it's kind of been a demand 359 00:18:40,760 --> 00:18:43,720 Speaker 1: driven market there for for oil, but I kind of 360 00:18:43,720 --> 00:18:46,040 Speaker 1: feel like when we do get that surging demand, I 361 00:18:46,040 --> 00:18:48,600 Speaker 1: think the supplies can come right back on the marketplace. Yeah, 362 00:18:48,640 --> 00:18:50,720 Speaker 1: of course, because there is a supply that's been captain. 363 00:18:51,920 --> 00:18:53,840 Speaker 1: The question is when's the demand going to come, right, Paul, 364 00:18:53,840 --> 00:18:56,080 Speaker 1: Because we're so much talk about her immunity. If it 365 00:18:56,119 --> 00:18:57,920 Speaker 1: comes sooner, we're all going to jump in our cars 366 00:18:58,000 --> 00:19:00,800 Speaker 1: or jump on a plane sooner as well. Right, Yeah, absolutely, 367 00:19:00,800 --> 00:19:03,280 Speaker 1: And again the Wall Street Journal had this opinion piece 368 00:19:03,400 --> 00:19:06,800 Speaker 1: over the weekend citing um, you know, a Johns Hopkins 369 00:19:06,840 --> 00:19:12,040 Speaker 1: professor talking about herd immunity perhaps as quickly as uh April, 370 00:19:12,160 --> 00:19:15,240 Speaker 1: And boy, I don't think that's necessarily baked into the 371 00:19:15,240 --> 00:19:17,440 Speaker 1: market place at the moment, but we'll certainly pay attention 372 00:19:17,600 --> 00:19:22,680 Speaker 1: we'll have more coming up. This is Bloomberg. Now. I 373 00:19:22,720 --> 00:19:26,200 Speaker 1: want to bring in right now a man who manages 374 00:19:26,280 --> 00:19:32,280 Speaker 1: one point three billion dollars out of Indiana, Indianapolis UM, 375 00:19:32,320 --> 00:19:35,960 Speaker 1: but has I think a pretty unique experience in running 376 00:19:36,000 --> 00:19:38,800 Speaker 1: his company. Greg Han is chief investment officer for Winthrop 377 00:19:38,840 --> 00:19:42,359 Speaker 1: Capital Management. And Greg, I noticed you founded Winthrop in 378 00:19:42,440 --> 00:19:45,879 Speaker 1: two thousand seven. So that's like a baptism by fire 379 00:19:46,000 --> 00:19:49,600 Speaker 1: in terms of running an investment business through UH an 380 00:19:49,640 --> 00:19:52,680 Speaker 1: incredible recession and out the other side. Do you notice 381 00:19:52,720 --> 00:19:56,480 Speaker 1: any parallels to what we've just seen with the COVID pandemic. 382 00:19:57,720 --> 00:20:00,320 Speaker 1: So yeah, a lot of last what thanks Joe. A 383 00:20:00,359 --> 00:20:03,199 Speaker 1: lot of what we're going through really goes back to 384 00:20:03,680 --> 00:20:05,879 Speaker 1: the financial crisis of two thousand and eight and I 385 00:20:06,000 --> 00:20:09,280 Speaker 1: founded Winthrop Capital Management. I describe it as the doorstep 386 00:20:09,320 --> 00:20:12,199 Speaker 1: of the financial crisis because it was literally the end 387 00:20:12,240 --> 00:20:14,480 Speaker 1: of October of two thousand and seven, and you could 388 00:20:14,520 --> 00:20:17,240 Speaker 1: just feel the the vacuum. It's like the air leaving 389 00:20:17,240 --> 00:20:19,240 Speaker 1: the room. It was like a vacuum that was being 390 00:20:19,240 --> 00:20:22,840 Speaker 1: created before everything blew up in in UH around Valentine's 391 00:20:22,880 --> 00:20:25,200 Speaker 1: Day in two thousand and eight. But yeah, it's it's 392 00:20:25,320 --> 00:20:28,120 Speaker 1: very similar to the and this is where the aggressive 393 00:20:28,160 --> 00:20:31,640 Speaker 1: monetary policy that we're seeing comes from. Is um the 394 00:20:31,680 --> 00:20:34,000 Speaker 1: rescue money that came into the market in two thousand 395 00:20:34,080 --> 00:20:36,080 Speaker 1: and eight really never left the market, and now we're 396 00:20:36,080 --> 00:20:39,920 Speaker 1: doing right now is piling on top of it. So, Greg, 397 00:20:39,920 --> 00:20:42,879 Speaker 1: a lot of folks, I think, are increasingly concerned about 398 00:20:42,920 --> 00:20:46,040 Speaker 1: a bubble, uh financial bubble here. Whether you look at 399 00:20:46,119 --> 00:20:48,760 Speaker 1: you know, the market's hitting all time highs almost on 400 00:20:48,800 --> 00:20:53,360 Speaker 1: a daily basis, whether you look at the proliferation of spacks, 401 00:20:53,920 --> 00:20:55,360 Speaker 1: whether you look at some of the trading we saw 402 00:20:55,359 --> 00:20:57,600 Speaker 1: on some of the game stops of a few weeks ago, 403 00:20:57,640 --> 00:21:00,760 Speaker 1: all kind of telltale signs potentially of a market top, 404 00:21:00,800 --> 00:21:04,280 Speaker 1: a market bubble. How do you think about that? Yeah, 405 00:21:04,359 --> 00:21:06,119 Speaker 1: and that's a good question. I mean we you know, 406 00:21:06,160 --> 00:21:08,520 Speaker 1: the scars go back to two thousand after the dot 407 00:21:08,560 --> 00:21:12,280 Speaker 1: com first and Uh. It's the difference though, is the 408 00:21:12,359 --> 00:21:15,879 Speaker 1: money that is the bubble that was created back in 409 00:21:15,920 --> 00:21:20,000 Speaker 1: two thousand had didn't have the aggressive monetary policy supporting it. 410 00:21:20,119 --> 00:21:23,480 Speaker 1: So it was it was speculative because everybody was piling 411 00:21:23,480 --> 00:21:25,879 Speaker 1: into the market. I say everybody, but investors were piling 412 00:21:25,920 --> 00:21:30,280 Speaker 1: into text stops, tex stocks and valuations were just ignored 413 00:21:31,119 --> 00:21:35,560 Speaker 1: this go around. We've got not only domestic um money 414 00:21:35,840 --> 00:21:39,440 Speaker 1: both fiscal and monetary stimulus, but we have global monetary 415 00:21:39,640 --> 00:21:42,320 Speaker 1: and fiscal stimulus going into the financial markets and it 416 00:21:42,359 --> 00:21:46,200 Speaker 1: has to find a home. So UH, in aggressive periods 417 00:21:46,200 --> 00:21:49,440 Speaker 1: of aggressive monetary and fiscal stimulus, we do see extended 418 00:21:49,920 --> 00:21:52,760 Speaker 1: p evaluations. And that's part of what's being experienced right 419 00:21:52,800 --> 00:21:57,760 Speaker 1: now is these um these valuations are really extended. These 420 00:21:57,760 --> 00:22:01,440 Speaker 1: business models though, Jeff, they sup were you know, operating 421 00:22:01,520 --> 00:22:04,639 Speaker 1: margins that are in excess of six operating margins. So 422 00:22:04,720 --> 00:22:07,000 Speaker 1: the growth rates when you see layer on eighteen percent 423 00:22:07,000 --> 00:22:10,840 Speaker 1: growth rates with six profit margins, there's room to grow. 424 00:22:11,280 --> 00:22:13,920 Speaker 1: Is Are you concerned? Though? I sense a little bit 425 00:22:13,920 --> 00:22:18,480 Speaker 1: of an Austrian twinge in your UH statement about about 426 00:22:18,520 --> 00:22:21,760 Speaker 1: the money that came in the TARP money first and 427 00:22:21,800 --> 00:22:23,719 Speaker 1: then we got a couple of trillion more and now 428 00:22:23,720 --> 00:22:26,240 Speaker 1: we're getting a couple of trillion more. And you know, 429 00:22:26,440 --> 00:22:30,280 Speaker 1: does that were you that piled up debt that big 430 00:22:30,280 --> 00:22:34,439 Speaker 1: balance sheet at the Fed? Yeah? So the um the 431 00:22:34,520 --> 00:22:37,240 Speaker 1: so two things we we we are living through two 432 00:22:37,240 --> 00:22:41,000 Speaker 1: experiments aggressive monetary policy that goes back to two thousand 433 00:22:41,000 --> 00:22:43,000 Speaker 1: and eight. This is all an experiment. We can't just 434 00:22:43,040 --> 00:22:45,480 Speaker 1: take this as normal and too as we're living through 435 00:22:45,520 --> 00:22:49,280 Speaker 1: a pandemic and we've got developed governments of developed countries 436 00:22:49,280 --> 00:22:52,359 Speaker 1: through money into the system to help support the economic 437 00:22:52,400 --> 00:22:55,960 Speaker 1: downturn in its worked. Both are experiments though, so the 438 00:22:56,000 --> 00:23:00,199 Speaker 1: consequences of that are this elevated level of debt and 439 00:23:00,280 --> 00:23:04,520 Speaker 1: now um and in economies that are are just recovering. 440 00:23:04,920 --> 00:23:08,960 Speaker 1: This was all a cost that was um born to 441 00:23:09,080 --> 00:23:12,880 Speaker 1: make sure that our economies continue to function to mitigate 442 00:23:12,920 --> 00:23:17,000 Speaker 1: the downturn. Whether we can pull it off and transition 443 00:23:17,560 --> 00:23:22,560 Speaker 1: into a more normalized economic paradigm, that's that's what remains 444 00:23:22,600 --> 00:23:25,240 Speaker 1: to be seen. So it's gonna for the next challenge, 445 00:23:25,640 --> 00:23:28,200 Speaker 1: all right, Greg, So in this market here again hitting 446 00:23:28,600 --> 00:23:32,600 Speaker 1: all time highs. Here, where are you guys spending your time? 447 00:23:32,600 --> 00:23:36,240 Speaker 1: Where do you see opportunities? So the opportunities there. I 448 00:23:36,280 --> 00:23:39,359 Speaker 1: think the opportunities are in three areas. One is China. 449 00:23:40,040 --> 00:23:42,760 Speaker 1: Um And that's a longer conversation. When we look at 450 00:23:42,800 --> 00:23:45,160 Speaker 1: Western democracy against the center, I's gonna say that sounds 451 00:23:45,160 --> 00:23:49,080 Speaker 1: crazy for who's to say that? Uh No, it's but 452 00:23:49,240 --> 00:23:51,480 Speaker 1: it's when you search the world over and you look 453 00:23:51,520 --> 00:23:53,199 Speaker 1: at what we've got here in the United States with 454 00:23:53,240 --> 00:23:56,119 Speaker 1: extended valuations, and you look at what the opportunity is 455 00:23:56,440 --> 00:23:59,359 Speaker 1: over in China with UM. You know, it's the second 456 00:23:59,400 --> 00:24:02,879 Speaker 1: largest because on me it's got a growing middle class, 457 00:24:03,040 --> 00:24:05,720 Speaker 1: but you know that it has its own barriers to compete. 458 00:24:05,800 --> 00:24:07,639 Speaker 1: But when you look at you know, we looked at 459 00:24:07,680 --> 00:24:11,440 Speaker 1: corporate earnings last year. You look at Talk Proctor and Gamble, 460 00:24:11,840 --> 00:24:14,480 Speaker 1: Starbucks their earnings. The reason that earnings held up well 461 00:24:14,480 --> 00:24:16,080 Speaker 1: in the large part was because of the business they 462 00:24:16,080 --> 00:24:20,040 Speaker 1: did in China. So that's one area. Second is there's 463 00:24:20,080 --> 00:24:23,160 Speaker 1: a still a recovery basket. Even though we've seen UM, 464 00:24:24,080 --> 00:24:25,920 Speaker 1: you know, the stock market's done really, really well, there's 465 00:24:25,960 --> 00:24:30,720 Speaker 1: still areas that are COVID affected that we think, UM 466 00:24:31,000 --> 00:24:35,359 Speaker 1: it includes gaming, leisure, travel, entertainment, convention. Actually now everyone's 467 00:24:35,359 --> 00:24:38,679 Speaker 1: talking about her immunity. Yeah, well we had so we 468 00:24:38,760 --> 00:24:43,240 Speaker 1: added Southwest air to the portfolio this UM this last quarter. UM, 469 00:24:43,320 --> 00:24:46,119 Speaker 1: we think that it's the airlines. I'm not ready to 470 00:24:46,119 --> 00:24:48,800 Speaker 1: go all in, but there's going to be some growth 471 00:24:48,840 --> 00:24:52,560 Speaker 1: and it's already g would be another example, UM of 472 00:24:52,920 --> 00:24:58,879 Speaker 1: how to play the recovery. So, Greg, I guess seconds 473 00:24:58,920 --> 00:25:01,840 Speaker 1: left here are are you in that rotation trade. Do 474 00:25:01,840 --> 00:25:05,240 Speaker 1: you feel like the cyclicals are also place to look. No, 475 00:25:05,600 --> 00:25:08,200 Speaker 1: we're not at I'm not into that. We we buy 476 00:25:08,200 --> 00:25:10,440 Speaker 1: good companies. We just want to buy really really good 477 00:25:10,440 --> 00:25:13,000 Speaker 1: companies and invest alongside of them to be able to 478 00:25:13,000 --> 00:25:15,040 Speaker 1: move in and out. I mean, we struggle right now 479 00:25:15,119 --> 00:25:16,600 Speaker 1: that one of the great plays right now is in 480 00:25:16,640 --> 00:25:19,040 Speaker 1: the commodity markets. We're not getting investors. But when you 481 00:25:19,040 --> 00:25:22,320 Speaker 1: look at the man from copper Um right now because 482 00:25:22,320 --> 00:25:24,919 Speaker 1: of what's happening in silver with the five G roll 483 00:25:24,960 --> 00:25:28,240 Speaker 1: out and just that that's a real demand. So Freeport 484 00:25:28,320 --> 00:25:30,240 Speaker 1: mcmaran would be something we would be looking at, but 485 00:25:30,280 --> 00:25:33,120 Speaker 1: it's something that we normally that's not our sweet pot. 486 00:25:33,160 --> 00:25:35,239 Speaker 1: Got you okay, Hey, great, Thanks so much for joining us. 487 00:25:35,240 --> 00:25:38,640 Speaker 1: We appreciate it. As always. Greg Han, chief investment officer 488 00:25:38,760 --> 00:25:43,199 Speaker 1: for Winthrop Capital Management based in Indianapolis, giving us his 489 00:25:43,240 --> 00:25:45,880 Speaker 1: thoughts here as the markets again pulling back a little 490 00:25:45,880 --> 00:25:48,720 Speaker 1: bit today, but you know, making ever higher highs on 491 00:25:48,960 --> 00:25:51,639 Speaker 1: in large part on the reopening trade and again the 492 00:25:51,680 --> 00:25:55,760 Speaker 1: metrics on the pandemic very supportive right now. Thanks for 493 00:25:55,800 --> 00:25:59,280 Speaker 1: listening to the Bloomberg Markets podcast. You can subscribe and 494 00:25:59,320 --> 00:26:02,920 Speaker 1: listen to intervi us an Apple Podcasts or whatever podcast 495 00:26:02,920 --> 00:26:06,480 Speaker 1: platform you prefer. I'm Matt Miller, I'm on Twitter at 496 00:26:06,520 --> 00:26:10,320 Speaker 1: Matt Miller. And I'm fall Sweeney. I'm on Twitter at 497 00:26:10,359 --> 00:26:13,199 Speaker 1: pt sweeney. Before the podcast, you can always catch us 498 00:26:13,240 --> 00:26:14,640 Speaker 1: worldwide at Bloomberg Radio