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 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news on the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,720 Speaker 1: at Bloomberg dot com slash podcast just reading on the 7 00:00:21,720 --> 00:00:25,240 Speaker 1: Bloomberg termoil right Now. Protests against china strict COVID measures 8 00:00:25,760 --> 00:00:28,680 Speaker 1: failed to materialize on Monday as a Chinese authorities deployed 9 00:00:28,680 --> 00:00:31,560 Speaker 1: a heavy police presence in the capital on other major 10 00:00:31,640 --> 00:00:35,159 Speaker 1: cities to deter a repeat of the weekend's demonstrations. When 11 00:00:35,159 --> 00:00:36,600 Speaker 1: we saw that news over the weekend, I said, we 12 00:00:36,640 --> 00:00:38,800 Speaker 1: need to check in with Leland Miller. He's our go 13 00:00:38,880 --> 00:00:41,040 Speaker 1: to voice and all things China. He's the CEO of 14 00:00:41,120 --> 00:00:44,960 Speaker 1: China bag Book International. Leland, We I'd love to get 15 00:00:45,000 --> 00:00:49,199 Speaker 1: your perspective given your experience in China. What did we 16 00:00:49,280 --> 00:00:53,080 Speaker 1: really see over the weekend with some of these demonstrations. 17 00:00:53,080 --> 00:00:57,560 Speaker 1: What are the takeaways? Well, clearly frustration is boiling over. 18 00:00:58,200 --> 00:01:01,880 Speaker 1: You know, the Chinese people have to deal with a 19 00:01:02,080 --> 00:01:07,800 Speaker 1: very draconian zero COVID policy for UH for months and 20 00:01:07,840 --> 00:01:10,320 Speaker 1: months and months and months and months and months now, 21 00:01:10,520 --> 00:01:15,280 Speaker 1: and it is crushed economic activity, it's crushed travel, it's 22 00:01:15,720 --> 00:01:18,560 Speaker 1: it's torn families apart. UH. And so I think that 23 00:01:18,600 --> 00:01:20,720 Speaker 1: there is a desire right now to send a message 24 00:01:20,760 --> 00:01:22,679 Speaker 1: that this needs to end. UH. And I think a 25 00:01:22,680 --> 00:01:27,080 Speaker 1: lot of the protests UM, we're about a frustration with 26 00:01:27,120 --> 00:01:32,280 Speaker 1: the leadership for not providing a roadmap out of this UH. 27 00:01:32,280 --> 00:01:36,440 Speaker 1: You know, winter is COVID spreading season. Things were never 28 00:01:36,480 --> 00:01:39,000 Speaker 1: going to be opened up over the winter and there 29 00:01:39,040 --> 00:01:42,039 Speaker 1: and then they're still not going to be UH for 30 00:01:42,080 --> 00:01:44,120 Speaker 1: the most part. But I think that the idea that 31 00:01:44,160 --> 00:01:47,360 Speaker 1: people still don't have a date on the horizon, they 32 00:01:47,360 --> 00:01:49,240 Speaker 1: don't have an idea of when when their misery is 33 00:01:49,280 --> 00:01:51,600 Speaker 1: going to end. I think that this, this this caused 34 00:01:51,800 --> 00:01:54,000 Speaker 1: things to really boil over. In addition, of course to 35 00:01:54,000 --> 00:01:56,960 Speaker 1: the fact that you've you've seen some very grizzly events recently, 36 00:01:57,040 --> 00:02:00,200 Speaker 1: like people trapped in their houses and and uh ire 37 00:02:00,240 --> 00:02:02,280 Speaker 1: is consuming them. So so this is this has really 38 00:02:02,320 --> 00:02:04,760 Speaker 1: gotten to a point where where people had enough. Now 39 00:02:05,160 --> 00:02:08,800 Speaker 1: I'm not sure from from what we understand here in 40 00:02:08,840 --> 00:02:11,880 Speaker 1: the West, it's incredibly dangerous to protest in China. Right, 41 00:02:11,960 --> 00:02:14,239 Speaker 1: My idea is that if you go out there, you're 42 00:02:14,320 --> 00:02:18,120 Speaker 1: literally risking your life. Um, is that really the case? 43 00:02:18,240 --> 00:02:22,800 Speaker 1: Do people in China understand that? Because that raises really 44 00:02:22,840 --> 00:02:25,480 Speaker 1: the bar for you know what, I'm willing to go 45 00:02:25,520 --> 00:02:29,000 Speaker 1: out of my house and protests against Yeah, protests in 46 00:02:29,160 --> 00:02:32,800 Speaker 1: China aren't uncommon, but what is very uncommon is to 47 00:02:32,880 --> 00:02:37,919 Speaker 1: see protests uh surging in multiple cities at the same 48 00:02:37,919 --> 00:02:40,560 Speaker 1: time about the same thing. Uh. This is sort of 49 00:02:40,840 --> 00:02:43,240 Speaker 1: this is you know, not just about dissatisfaction with the 50 00:02:43,280 --> 00:02:47,119 Speaker 1: local issue or a bank that people think might be insolving. 51 00:02:47,240 --> 00:02:51,120 Speaker 1: This is about a fundamental policy that the central government 52 00:02:51,160 --> 00:02:54,920 Speaker 1: has uh that that that that there's no tolerance for anymore. 53 00:02:55,000 --> 00:02:59,679 Speaker 1: So the you know, protesting can happen, but this clearly 54 00:02:59,800 --> 00:03:02,680 Speaker 1: was sending a signal that it could become something much bigger, 55 00:03:02,680 --> 00:03:05,240 Speaker 1: which is why the authorities have moved in to try 56 00:03:05,280 --> 00:03:07,400 Speaker 1: to stop it from from from boiling out of control 57 00:03:07,440 --> 00:03:11,080 Speaker 1: in the short term, Leland, Does the Chinese government not 58 00:03:11,360 --> 00:03:15,320 Speaker 1: understand Did the Chinese people not understand that they can't 59 00:03:15,360 --> 00:03:21,400 Speaker 1: get to some level of herd immunity without massive vaccinations. 60 00:03:21,440 --> 00:03:25,280 Speaker 1: That's what the rest of the world has learned. How 61 00:03:25,320 --> 00:03:29,880 Speaker 1: has it spun within China? Well, the the way the 62 00:03:29,919 --> 00:03:33,080 Speaker 1: Beijing has handled this over the past year or so, 63 00:03:33,480 --> 00:03:36,720 Speaker 1: past two years or so has has been quite puzzling. 64 00:03:37,200 --> 00:03:40,560 Speaker 1: You know. The for for the first two years and one, 65 00:03:41,120 --> 00:03:43,400 Speaker 1: there were you know, there was there was there were 66 00:03:43,400 --> 00:03:46,480 Speaker 1: tight restrictions on on COVID, but nothing like what we've 67 00:03:46,520 --> 00:03:50,320 Speaker 1: seen in There was plenty of time for the leadership 68 00:03:50,400 --> 00:03:53,480 Speaker 1: to have started a vaccine rollout, to imported mr and 69 00:03:53,560 --> 00:03:55,720 Speaker 1: A vaccines, to do a lot of the things that 70 00:03:55,880 --> 00:03:58,200 Speaker 1: China needs in order to get out of this, and 71 00:03:58,280 --> 00:04:00,760 Speaker 1: none of it was done. And of course the you know, 72 00:04:00,840 --> 00:04:03,640 Speaker 1: the belief is that that she didn't want to be 73 00:04:03,680 --> 00:04:06,880 Speaker 1: embarrassed by importing foreign vaccines. He wanted Chinese companies to 74 00:04:06,880 --> 00:04:09,200 Speaker 1: be able to do it so they could claim victory 75 00:04:09,280 --> 00:04:12,680 Speaker 1: domestically over the virus. But it's gotten to the point where, 76 00:04:12,720 --> 00:04:15,160 Speaker 1: you know, we're we're here on the on the cusp 77 00:04:15,200 --> 00:04:18,599 Speaker 1: of three. Most of the world has mostly moved on 78 00:04:18,720 --> 00:04:22,360 Speaker 1: from COVID, and China is looking at what could probably 79 00:04:22,400 --> 00:04:26,359 Speaker 1: going to be the worst COVID outbreaks that they've seen 80 00:04:26,560 --> 00:04:30,000 Speaker 1: in the coming months. And so the policy response has 81 00:04:30,040 --> 00:04:33,359 Speaker 1: been completely puzzling, and I think that's one of the 82 00:04:33,400 --> 00:04:36,599 Speaker 1: reasons that people are are so frustrated. Is there any 83 00:04:36,680 --> 00:04:40,360 Speaker 1: element of you know, the party maintains control over the 84 00:04:40,400 --> 00:04:42,880 Speaker 1: people by locking them down. I mean, it sounds so 85 00:04:43,000 --> 00:04:46,479 Speaker 1: dramatic and it's but in a sense, I can't understand 86 00:04:46,600 --> 00:04:50,159 Speaker 1: how that would actually work. Yeah, you hear that a lot. 87 00:04:50,560 --> 00:04:53,760 Speaker 1: It's it's hard to believe that this is about control. 88 00:04:54,120 --> 00:04:58,359 Speaker 1: Uh first and foremost. Uh. You have a situation where, 89 00:04:58,839 --> 00:05:03,040 Speaker 1: you know, health, health, health risks aside, the economy needs 90 00:05:03,200 --> 00:05:05,880 Speaker 1: to be open in order to thrive, in order to 91 00:05:06,080 --> 00:05:08,680 Speaker 1: just be able to tread water. And what's happening right 92 00:05:08,680 --> 00:05:11,880 Speaker 1: now is remarkable. Um, you saw very very few people 93 00:05:11,960 --> 00:05:14,520 Speaker 1: as we entered two believing that you know, there wouldn't 94 00:05:14,520 --> 00:05:16,680 Speaker 1: be a second half bounce, that she wouldn't relent at 95 00:05:16,720 --> 00:05:19,960 Speaker 1: certain point, and nothing of the sort has happened. So 96 00:05:20,200 --> 00:05:22,000 Speaker 1: if you look at what's likely to happen in the 97 00:05:22,040 --> 00:05:25,320 Speaker 1: coming months, the party has got to be responsive, look 98 00:05:25,400 --> 00:05:28,039 Speaker 1: at least look responsive to the people who are protesting 99 00:05:28,120 --> 00:05:31,120 Speaker 1: right now. So there will be some sort of rhetorical relaxation. 100 00:05:31,480 --> 00:05:33,960 Speaker 1: There's some policies they could target, they could talk about 101 00:05:34,040 --> 00:05:37,560 Speaker 1: less you know, splitting families apart, and they can talk 102 00:05:37,600 --> 00:05:41,760 Speaker 1: about you know, less stringent lockdowns or lockdowns for for 103 00:05:41,760 --> 00:05:44,039 Speaker 1: for short amounts of time, But you're about to go 104 00:05:44,240 --> 00:05:46,960 Speaker 1: into the winter months where COVID will spread out of 105 00:05:47,000 --> 00:05:50,919 Speaker 1: control if there is no sort of control mechanism. And 106 00:05:51,000 --> 00:05:54,840 Speaker 1: so there's really no good answer right now to to 107 00:05:54,839 --> 00:05:57,239 Speaker 1: to to the problem that the Chinese government has to solve. 108 00:05:57,440 --> 00:05:59,880 Speaker 1: They cannot functionally open up the economy and not have 109 00:06:00,160 --> 00:06:03,479 Speaker 1: massive COVID outbreaks, but they can't keep the population under 110 00:06:03,480 --> 00:06:07,839 Speaker 1: control indefinitely under a draconian COVID zero. So you're likely 111 00:06:07,880 --> 00:06:09,680 Speaker 1: to see them try to thread the needle, try to 112 00:06:09,720 --> 00:06:12,320 Speaker 1: do the middle ground, and there's no guarantee that's not 113 00:06:12,400 --> 00:06:14,440 Speaker 1: gonna be a disaster as well. Yeah, that is. It's 114 00:06:14,480 --> 00:06:16,440 Speaker 1: tough stuff. I don't know how they're going to manage that. 115 00:06:16,520 --> 00:06:19,680 Speaker 1: Leland Miller, thanks so much for taking the time today. 116 00:06:19,760 --> 00:06:21,560 Speaker 1: We absolutely wanted to hear from you to get your 117 00:06:21,880 --> 00:06:24,560 Speaker 1: latest thoughts on China. Here, Leland Miller used to see 118 00:06:24,560 --> 00:06:27,360 Speaker 1: of the China Basebook International. They have their own proprietary 119 00:06:27,920 --> 00:06:30,240 Speaker 1: data sets and data sources over in China get some great, 120 00:06:30,279 --> 00:06:37,320 Speaker 1: great information. Well, China seems to be one of the 121 00:06:37,400 --> 00:06:41,599 Speaker 1: narratives of this Monday morning trading demonstrations over the weekend 122 00:06:41,640 --> 00:06:46,040 Speaker 1: causing some uneasiness as it relates to that economy, Apple 123 00:06:46,160 --> 00:06:48,719 Speaker 1: saying they're going to be short maybe six million iPhones 124 00:06:48,760 --> 00:06:52,280 Speaker 1: because of the disruptions and there plants over there in China, 125 00:06:52,320 --> 00:06:54,000 Speaker 1: So we need to just kind of get a circle 126 00:06:54,040 --> 00:06:56,360 Speaker 1: around this whole thing. We'll do that with Gina Martin Adams, 127 00:06:56,680 --> 00:06:59,560 Speaker 1: chief equity strategist of Bloomberg Intelligence, and a Rack Ronnick. 128 00:06:59,560 --> 00:07:02,280 Speaker 1: He's a senior tech an also Bloomberg Intelligence as well. Gina, 129 00:07:02,360 --> 00:07:04,800 Speaker 1: let's start with you, how do you factor in I 130 00:07:04,839 --> 00:07:09,640 Speaker 1: don't know, China risk if you will to your market outlook. Yeah, 131 00:07:09,680 --> 00:07:12,640 Speaker 1: I think with respect to the US, China risk is 132 00:07:12,720 --> 00:07:16,640 Speaker 1: largely centered on the multinational securities that do have exposure 133 00:07:16,720 --> 00:07:21,880 Speaker 1: either import exposure or export exposure to China. UM. So 134 00:07:21,960 --> 00:07:27,320 Speaker 1: clearly any sort of persistent slowdown into three, persistence of 135 00:07:27,400 --> 00:07:31,840 Speaker 1: these lockdown measures and the zero COVID policy is a 136 00:07:31,880 --> 00:07:34,920 Speaker 1: constant drag on this space in two that will continue 137 00:07:34,920 --> 00:07:38,720 Speaker 1: into three. For global equities, there really is a matter 138 00:07:38,760 --> 00:07:42,000 Speaker 1: of the investment opportunity set just continually shrinking with the 139 00:07:42,080 --> 00:07:45,320 Speaker 1: lack of kind of the investibility of China. This recall 140 00:07:45,440 --> 00:07:49,480 Speaker 1: for the last more than fifteen nearly twenty years now, 141 00:07:50,160 --> 00:07:54,240 Speaker 1: China was anticipated to be a very strong emerging market player, 142 00:07:54,560 --> 00:07:57,560 Speaker 1: and that was certainly reflected in its growing share of 143 00:07:57,600 --> 00:08:01,280 Speaker 1: the market cap of the global indices over the last year, 144 00:08:01,800 --> 00:08:04,680 Speaker 1: even closer to two years. Now that's really come under question, 145 00:08:04,960 --> 00:08:09,120 Speaker 1: and it makes pretty tremendous train tremendous sea change in 146 00:08:09,160 --> 00:08:13,240 Speaker 1: the investibility of global markets. Not having that big player 147 00:08:13,800 --> 00:08:16,200 Speaker 1: as an area where you can put capital in the 148 00:08:16,200 --> 00:08:19,200 Speaker 1: global markets has resulted in a flight to other areas 149 00:08:19,600 --> 00:08:23,680 Speaker 1: in emerging markets, in particular India, whereas evaluation premium for 150 00:08:23,720 --> 00:08:28,080 Speaker 1: Indian securities is off the charts, investors have clearly tried 151 00:08:28,160 --> 00:08:31,200 Speaker 1: to find ways to you know, leverage emerging market growth. 152 00:08:31,280 --> 00:08:34,840 Speaker 1: What about China? What about producers? Um, let's bring in 153 00:08:34,920 --> 00:08:39,360 Speaker 1: on a rag here. Um, it's fascinating what the point 154 00:08:39,440 --> 00:08:42,240 Speaker 1: gene is making about valuations on the stocks. But you know, 155 00:08:42,400 --> 00:08:46,240 Speaker 1: producers that make consumer goods like apple still seem to 156 00:08:46,240 --> 00:08:50,360 Speaker 1: have no problem. Um, you know, made in China, having 157 00:08:50,440 --> 00:08:52,439 Speaker 1: made in China stamped on their on their products and 158 00:08:52,480 --> 00:08:55,080 Speaker 1: consumers still buy them like crazy. Right? Is that changing 159 00:08:55,080 --> 00:08:57,959 Speaker 1: it all? On a rug. I don't think so, and 160 00:08:58,080 --> 00:09:00,560 Speaker 1: only the reason is there is no donative at this point. 161 00:09:00,600 --> 00:09:01,839 Speaker 1: I mean, what are you going to do by a 162 00:09:01,880 --> 00:09:04,480 Speaker 1: Nokia phone? So I mean, but they could produce in 163 00:09:04,520 --> 00:09:09,280 Speaker 1: India for example, like investors are there instead? Right, No, 164 00:09:09,360 --> 00:09:11,160 Speaker 1: that's the fair point. But the thing is this is 165 00:09:11,240 --> 00:09:14,280 Speaker 1: unlike stocks, this supply chain took twenty years to build. 166 00:09:14,480 --> 00:09:17,200 Speaker 1: You just can't get up and start building iPhones anywhere else. 167 00:09:17,400 --> 00:09:20,040 Speaker 1: They have already started to do that, but just less 168 00:09:20,040 --> 00:09:23,920 Speaker 1: than five percent of all iPhone assembly, and and a 169 00:09:24,240 --> 00:09:27,840 Speaker 1: large rationale for that is the supply chain for most 170 00:09:27,920 --> 00:09:32,640 Speaker 1: electronic goods is centered in China. So don't talk to 171 00:09:32,679 --> 00:09:35,720 Speaker 1: us about you know, what's Apple really doing day to 172 00:09:35,760 --> 00:09:38,400 Speaker 1: day to try to mitigate this issue? What have you seen? 173 00:09:39,600 --> 00:09:42,240 Speaker 1: So we have already heard that they are assembling these 174 00:09:42,280 --> 00:09:45,320 Speaker 1: phones outside the China at this point, and I think 175 00:09:45,559 --> 00:09:47,480 Speaker 1: it's going to take four or five years to make 176 00:09:47,480 --> 00:09:50,280 Speaker 1: a meaningful DNT to that. The second part is going 177 00:09:50,320 --> 00:09:52,840 Speaker 1: to be are they you know, the parts and the 178 00:09:52,840 --> 00:09:56,280 Speaker 1: other things that they need to actually assemble these products? 179 00:09:56,480 --> 00:09:59,079 Speaker 1: Are they going to start sourcing them outside now? For 180 00:09:59,280 --> 00:10:02,200 Speaker 1: that they really need to invest eggressively in areas such 181 00:10:02,200 --> 00:10:06,120 Speaker 1: as Mexico or other low cost regions where they can 182 00:10:06,960 --> 00:10:09,840 Speaker 1: manufacture some of these pots without that, you know, the 183 00:10:09,840 --> 00:10:13,160 Speaker 1: supply chain doesn't make any sense to um, you know, 184 00:10:13,240 --> 00:10:16,240 Speaker 1: just do things in isolation, because at any given time 185 00:10:16,280 --> 00:10:19,480 Speaker 1: they are making millions of these units. It's not you know, 186 00:10:19,559 --> 00:10:21,960 Speaker 1: something that has only a few thousands that you produced, 187 00:10:23,720 --> 00:10:26,360 Speaker 1: all right, it's fascinating. So they basically can't, is what 188 00:10:26,400 --> 00:10:31,240 Speaker 1: you're saying, move substantially, UM as quickly as investors can. 189 00:10:32,360 --> 00:10:34,760 Speaker 1: I just wonder if that means Gina. Does that mean 190 00:10:34,800 --> 00:10:37,400 Speaker 1: that there's an opportunity here? I mean, do you buy 191 00:10:37,440 --> 00:10:39,680 Speaker 1: the dip in that situation knowing that it has to 192 00:10:39,720 --> 00:10:43,520 Speaker 1: come back by the dip in China? Is that the question? Um? 193 00:10:43,600 --> 00:10:47,360 Speaker 1: You know, I think for investors that are willing to 194 00:10:47,400 --> 00:10:50,320 Speaker 1: take a tremendous amount of risk, your potential reward for 195 00:10:50,440 --> 00:10:54,680 Speaker 1: taking on that degree of risk is is fairly substantial, right, 196 00:10:54,760 --> 00:10:58,160 Speaker 1: But I at this point in time, it's relatively unpredictable. 197 00:10:58,200 --> 00:11:01,320 Speaker 1: Most rational people are acting that the results of these 198 00:11:01,360 --> 00:11:05,839 Speaker 1: protests over the weekend will be more further compression and 199 00:11:05,920 --> 00:11:10,400 Speaker 1: economic activity more clamped down as the authorities in China 200 00:11:10,480 --> 00:11:14,640 Speaker 1: try to take on you know, um, these protesters. So 201 00:11:14,960 --> 00:11:18,079 Speaker 1: I think that the risk is tremendous right now. That said, 202 00:11:18,559 --> 00:11:21,800 Speaker 1: the stocks are incredibly discounted. You are taking a risk 203 00:11:21,880 --> 00:11:26,520 Speaker 1: that there is no opening coming in three Nonetheless, there 204 00:11:26,679 --> 00:11:30,800 Speaker 1: is very little expectation for growth baked into prices. So 205 00:11:30,920 --> 00:11:34,160 Speaker 1: I think that your risk reward works, right. You take 206 00:11:34,200 --> 00:11:35,880 Speaker 1: on a lot of risk, You could get a tremendous 207 00:11:35,880 --> 00:11:37,640 Speaker 1: amount of reward, but it is it is a lot 208 00:11:37,679 --> 00:11:42,080 Speaker 1: of risk. Admittedly, all right, Gina, great stuff. Appreciate checking 209 00:11:42,080 --> 00:11:45,800 Speaker 1: in with us, Gina. Martin Adams, chief equity strategist for 210 00:11:45,800 --> 00:11:48,880 Speaker 1: Bloomberg Intelligence, and Anama Rana used to senior tech animals 211 00:11:48,880 --> 00:11:52,440 Speaker 1: with Bloomberg Intelligence. Well he falls Apple very closely. And again, 212 00:11:52,640 --> 00:11:55,400 Speaker 1: investors today are just trying to parts what's going on 213 00:11:55,600 --> 00:11:58,280 Speaker 1: in China, What does that mean for the outlook for 214 00:11:58,280 --> 00:12:00,240 Speaker 1: global economic growth, What does it mean for some of 215 00:12:00,240 --> 00:12:04,080 Speaker 1: the tech companies that still like Apple, rely pretty heavily 216 00:12:04,160 --> 00:12:07,080 Speaker 1: on the supply chain, with lots of parts of that 217 00:12:07,320 --> 00:12:10,480 Speaker 1: in mainland China. And you think about how this government 218 00:12:10,559 --> 00:12:12,520 Speaker 1: is dealing with the zero COVID policy and what that 219 00:12:12,559 --> 00:12:15,839 Speaker 1: means for economic activity. So again that's kind of the 220 00:12:15,920 --> 00:12:22,320 Speaker 1: narrative of what this market is trying to digest. Let's 221 00:12:22,360 --> 00:12:25,840 Speaker 1: talk China. Let's talk kind of investing in emerging markets. 222 00:12:25,960 --> 00:12:28,080 Speaker 1: Because we're talking marging markets. The M S c I 223 00:12:28,160 --> 00:12:30,199 Speaker 1: big part of that is China. We can do that 224 00:12:30,240 --> 00:12:32,319 Speaker 1: today with Kevin Carter. He's the c I O and 225 00:12:32,559 --> 00:12:36,400 Speaker 1: founder of E m q Q Global. He joins US 226 00:12:36,440 --> 00:12:39,200 Speaker 1: Live and our Bloomberg Interactive Broker studios, so he gets 227 00:12:39,200 --> 00:12:42,079 Speaker 1: an extra gold star today for being live, not phoning 228 00:12:42,080 --> 00:12:45,200 Speaker 1: it in. Kevin, You've been doing business. So let's start 229 00:12:45,200 --> 00:12:47,839 Speaker 1: with the acronym. We always throw around these acronyms, and 230 00:12:47,880 --> 00:12:51,560 Speaker 1: I feel like I guess emerging markets and then it's 231 00:12:51,600 --> 00:12:55,040 Speaker 1: tech tech stocks y K E m q Q. Well 232 00:12:55,080 --> 00:12:59,040 Speaker 1: that's exactly, and it's emerging markets technology and and specifically 233 00:12:59,080 --> 00:13:02,320 Speaker 1: it's emerging market can sumer technology. It's the smartphone enabled 234 00:13:02,720 --> 00:13:06,280 Speaker 1: emerging market consumer that we're trying to tap into. So yes, 235 00:13:06,520 --> 00:13:09,120 Speaker 1: E is for emerging, M is for market in. Q Q, 236 00:13:09,880 --> 00:13:12,920 Speaker 1: as you know, is synonymous with tech investing and also 237 00:13:13,640 --> 00:13:16,000 Speaker 1: a sort of double and tender because the ten Cent 238 00:13:16,160 --> 00:13:19,559 Speaker 1: original platform that messaging was called q Q. That's right 239 00:13:19,559 --> 00:13:21,560 Speaker 1: back in the day. So when it's an E t 240 00:13:21,720 --> 00:13:23,800 Speaker 1: F by the way it is Q. Yeah, then that's 241 00:13:23,800 --> 00:13:27,360 Speaker 1: an exchange traded fund. That's correct, exactly. I just want 242 00:13:27,360 --> 00:13:29,120 Speaker 1: to clear this up because a lot of people driving 243 00:13:29,120 --> 00:13:31,480 Speaker 1: around like one cm QQ exactly, and then they don't 244 00:13:31,480 --> 00:13:33,000 Speaker 1: know there's an e t F. So if they like 245 00:13:33,080 --> 00:13:34,640 Speaker 1: what Kevin has say, can't go and buy it. If 246 00:13:34,679 --> 00:13:36,959 Speaker 1: they think it's hogwash, they can sell it or whatever. 247 00:13:37,080 --> 00:13:39,959 Speaker 1: You know. Yeah, well, the indexes are are up this year, 248 00:13:40,080 --> 00:13:42,680 Speaker 1: so good stuff. All right, talk to us about your 249 00:13:43,040 --> 00:13:45,679 Speaker 1: take from China. I mean you've been doing business there 250 00:13:45,720 --> 00:13:48,319 Speaker 1: for a long time, investing in these companies and these industries. 251 00:13:48,400 --> 00:13:52,160 Speaker 1: What's your takeaway. Well, look, China is the second largest 252 00:13:52,160 --> 00:13:55,319 Speaker 1: economy in the world at least, and a big thing, 253 00:13:55,559 --> 00:13:58,599 Speaker 1: and it's been the biggest part of the Emerging markets indexes, 254 00:13:58,640 --> 00:14:03,040 Speaker 1: the broad ones over UM, and it's an important place. 255 00:14:03,080 --> 00:14:05,959 Speaker 1: But it's different than us, and it has its own 256 00:14:06,080 --> 00:14:08,120 Speaker 1: challenges in its own ways of doing things, and I 257 00:14:08,200 --> 00:14:10,840 Speaker 1: think it's hugely misunderstood. I think there's a lot of 258 00:14:10,840 --> 00:14:17,120 Speaker 1: fears about China UM that are unfounded, things like delisting, 259 00:14:18,160 --> 00:14:22,800 Speaker 1: the so called government crackdown. So I think China's why 260 00:14:22,840 --> 00:14:25,680 Speaker 1: are those unfounded? I have those fears and I feel 261 00:14:25,720 --> 00:14:31,120 Speaker 1: like they're founded quite well. Well, um uh, I could 262 00:14:31,160 --> 00:14:34,840 Speaker 1: go into disappeared for a couple of months. When the 263 00:14:34,880 --> 00:14:36,960 Speaker 1: when the richest guy in the country just disappears for 264 00:14:37,000 --> 00:14:40,280 Speaker 1: a few months, that's worrying. Yes, well, I think Jack's 265 00:14:40,400 --> 00:14:44,200 Speaker 1: doing five but um but look what we do is 266 00:14:44,280 --> 00:14:47,840 Speaker 1: invest in the internet and any commerce companies in emerging markets, 267 00:14:47,840 --> 00:14:50,880 Speaker 1: including China. And the reality is that while China might 268 00:14:50,880 --> 00:14:54,200 Speaker 1: be an emerging market in a traditional sense, when it 269 00:14:54,240 --> 00:14:58,120 Speaker 1: comes to the Internet and e commerce and smartphones, China 270 00:14:58,200 --> 00:15:01,160 Speaker 1: is the most developed country on planet by far. I mean, 271 00:15:01,280 --> 00:15:06,040 Speaker 1: China is the Jetsons and their e commerce market dwarfs 272 00:15:06,080 --> 00:15:08,560 Speaker 1: the rest of the world, and it's actually four times 273 00:15:08,560 --> 00:15:11,200 Speaker 1: bigger than the other forty five emerging markets combined. So 274 00:15:11,480 --> 00:15:14,440 Speaker 1: China is important. It's an important part of the global 275 00:15:14,480 --> 00:15:17,880 Speaker 1: consumer internet story. But it's the second wave, and it's 276 00:15:17,880 --> 00:15:20,560 Speaker 1: the third wave that's coming beyond China that I think 277 00:15:20,560 --> 00:15:22,680 Speaker 1: investors should be looking at. I think a fair question 278 00:15:22,760 --> 00:15:26,520 Speaker 1: is is China even investable today? Well? I think it 279 00:15:26,680 --> 00:15:29,880 Speaker 1: certainly is. There are places like Russia that are definitely 280 00:15:30,000 --> 00:15:33,120 Speaker 1: not investable currently in a traditional sense, but no, I 281 00:15:33,160 --> 00:15:35,840 Speaker 1: think China is very much investable but it you know, 282 00:15:35,920 --> 00:15:38,000 Speaker 1: it's it's a volatile place for sure, and I think 283 00:15:38,000 --> 00:15:40,040 Speaker 1: it always will be. And well, we just had Gina 284 00:15:40,080 --> 00:15:42,600 Speaker 1: Martin Adams on from Bloomberg Intelligence who said there's a 285 00:15:42,600 --> 00:15:45,800 Speaker 1: lot of risk there, but the rewards are massive. Um, 286 00:15:46,080 --> 00:15:49,160 Speaker 1: the third wave that you speak of, is this also 287 00:15:49,200 --> 00:15:51,200 Speaker 1: a China play or are you talking about India? We 288 00:15:51,200 --> 00:15:54,360 Speaker 1: were talking about during the commercial how important India could be. Sure. So, 289 00:15:54,360 --> 00:15:57,880 Speaker 1: so we have a second strategy, which is the emerging 290 00:15:57,920 --> 00:16:00,760 Speaker 1: markets Internet companies ex China, which we called fm q 291 00:16:00,960 --> 00:16:05,520 Speaker 1: Q and the way to think about, uh, what's happening 292 00:16:05,600 --> 00:16:07,880 Speaker 1: on the planet, and it's happened here, but it happened 293 00:16:07,880 --> 00:16:09,720 Speaker 1: here so long ago. We forget that this is a 294 00:16:10,480 --> 00:16:13,920 Speaker 1: wave that's happening. But you have sort of three mega trends. 295 00:16:13,960 --> 00:16:17,200 Speaker 1: You have billions of new consumers and emerging markets. They're 296 00:16:17,200 --> 00:16:20,320 Speaker 1: getting their first computer in form of a smartphone that 297 00:16:20,400 --> 00:16:23,320 Speaker 1: costs eighty dollars brand new and is running on Android, 298 00:16:23,800 --> 00:16:26,040 Speaker 1: and they're getting access to the Internet for the first time. 299 00:16:26,040 --> 00:16:29,360 Speaker 1: And because they don't have a computer, uh you know 300 00:16:29,400 --> 00:16:31,520 Speaker 1: it's a traditional computer, they don't have a bank account, 301 00:16:31,520 --> 00:16:35,520 Speaker 1: there's no target stores. These people are leap frogging traditional consumption. 302 00:16:35,560 --> 00:16:40,600 Speaker 1: And so the first wave of consumer internet technology on 303 00:16:40,640 --> 00:16:42,800 Speaker 1: the planet started in the US around the year two 304 00:16:42,840 --> 00:16:45,760 Speaker 1: thousand and we had a fifteen year S curve of growth. 305 00:16:46,280 --> 00:16:49,280 Speaker 1: The second wave, the China wave, started about two thousand 306 00:16:49,280 --> 00:16:52,120 Speaker 1: five with Ali Baba ten Cent Bai Do, which went 307 00:16:52,160 --> 00:16:55,800 Speaker 1: public before Google, and that wave, that S curve. You know, 308 00:16:55,840 --> 00:16:58,320 Speaker 1: it's still growing, but the steepest part of that growth 309 00:16:58,320 --> 00:17:04,600 Speaker 1: curve is behind us. And now you have India, Nigeria, Indonesia, Brazil, 310 00:17:04,760 --> 00:17:07,240 Speaker 1: all of these other five and a half billion people 311 00:17:07,400 --> 00:17:10,240 Speaker 1: that are getting their first computer today and again it's 312 00:17:10,280 --> 00:17:12,480 Speaker 1: not on their desk, it's in their pocket and it 313 00:17:12,560 --> 00:17:15,199 Speaker 1: costs sixty dollars and they're getting the Internet for the 314 00:17:15,240 --> 00:17:19,520 Speaker 1: first time. And that story is just getting started. And 315 00:17:19,680 --> 00:17:22,800 Speaker 1: FM can QQ. So if I look at the performance 316 00:17:22,880 --> 00:17:26,560 Speaker 1: year to date, obviously everything's down um and and E 317 00:17:26,680 --> 00:17:29,440 Speaker 1: m q Q is down thirty six percent. F m 318 00:17:29,520 --> 00:17:33,640 Speaker 1: q Q is down fifty Is there uh, you think 319 00:17:34,080 --> 00:17:39,920 Speaker 1: less risk in in the frontier markets. Well, I think 320 00:17:39,920 --> 00:17:42,880 Speaker 1: there's a lot less risk in both versions because they're 321 00:17:42,880 --> 00:17:45,000 Speaker 1: both down as you mentioned quite a bit. And in fact, 322 00:17:45,760 --> 00:17:47,680 Speaker 1: you know, the broader E m q Q is down 323 00:17:47,920 --> 00:17:51,360 Speaker 1: at least at one point, you know, over se as 324 00:17:51,440 --> 00:17:53,280 Speaker 1: of a couple of weeks ago. So this is a 325 00:17:53,400 --> 00:17:56,920 Speaker 1: volatile place. But we're investing in companies, were investing in 326 00:17:57,080 --> 00:17:59,800 Speaker 1: what we think are going to be the most important 327 00:18:00,040 --> 00:18:02,840 Speaker 1: growth businesses on the planet for the next couple of decades. 328 00:18:02,880 --> 00:18:06,120 Speaker 1: And those are the Internet companies that are providing all 329 00:18:06,119 --> 00:18:08,679 Speaker 1: the same things that the Fank stocks provide us, but 330 00:18:08,760 --> 00:18:11,200 Speaker 1: they're providing those services to the five and a half 331 00:18:11,240 --> 00:18:14,960 Speaker 1: billion people in India, in Brazil and the places I mentioned. 332 00:18:15,400 --> 00:18:18,560 Speaker 1: And that is if you're going to invest in emerging markets, 333 00:18:18,600 --> 00:18:20,680 Speaker 1: that's where you want to And these are actively managed. 334 00:18:20,720 --> 00:18:23,080 Speaker 1: I mean, this isn't you're not tracking an index here now, 335 00:18:23,160 --> 00:18:26,159 Speaker 1: these are these are rules based indexes. So we you know, 336 00:18:26,200 --> 00:18:30,040 Speaker 1: we own every publicly traded emerging markets internet company in 337 00:18:30,080 --> 00:18:33,520 Speaker 1: our broader offering. And then the ex China version fm 338 00:18:33,600 --> 00:18:36,399 Speaker 1: q Q owns, you know, the seventy five or so 339 00:18:36,480 --> 00:18:39,159 Speaker 1: that are not Chinese. What's number one on your to 340 00:18:39,320 --> 00:18:42,720 Speaker 1: do list looking at these companies in terms of due diligence? 341 00:18:42,840 --> 00:18:46,400 Speaker 1: Is a quality of management? Is it? Soundness of business models? 342 00:18:46,400 --> 00:18:49,680 Speaker 1: A balance sheet? How do you guys? Rule of law? Overall? Yes, 343 00:18:49,920 --> 00:18:53,480 Speaker 1: thank you. Well, you know again, the world's got a 344 00:18:53,480 --> 00:18:55,320 Speaker 1: lot of risk, and emerging markets have a lot of risk. 345 00:18:55,359 --> 00:18:57,000 Speaker 1: I mean, we've seen in Russia this year, I mean 346 00:18:57,119 --> 00:19:00,560 Speaker 1: war and you know your stocks basically wiped out completely. 347 00:19:00,640 --> 00:19:03,240 Speaker 1: So you know there's no free lunch, and emerging markets 348 00:19:03,240 --> 00:19:06,680 Speaker 1: and and and there is volatility um in terms of 349 00:19:06,760 --> 00:19:09,720 Speaker 1: the main part of the due deligence we do is 350 00:19:09,760 --> 00:19:13,240 Speaker 1: just identifying these companies because one of the problems, particularly 351 00:19:13,240 --> 00:19:16,280 Speaker 1: in emerging markets, is that the database has so much power. 352 00:19:16,880 --> 00:19:20,240 Speaker 1: And the biggest problem in the traditional indexes is that 353 00:19:20,320 --> 00:19:22,840 Speaker 1: about a third of the companies are government owned banks 354 00:19:22,840 --> 00:19:26,320 Speaker 1: and oil companies, state owned enterprises, which, in addition to 355 00:19:27,160 --> 00:19:31,520 Speaker 1: having conflicts of interest and inefficiency, there's corruption that's rampant. 356 00:19:32,000 --> 00:19:34,520 Speaker 1: And the second problem with the indexes is most of 357 00:19:34,560 --> 00:19:37,199 Speaker 1: the internet companies aren't included. So if you look at 358 00:19:37,560 --> 00:19:41,560 Speaker 1: Latin America, for example, Mercado Libre, the Amazon dot Com 359 00:19:41,640 --> 00:19:44,959 Speaker 1: and PayPal of every country in Central and South America, 360 00:19:45,160 --> 00:19:48,240 Speaker 1: it's not in the index. New Bank, the largest online 361 00:19:48,240 --> 00:19:51,480 Speaker 1: bank in the world out of Brazil, backed by Berkshire Hathaway, 362 00:19:51,640 --> 00:19:53,520 Speaker 1: and you on the New York Sock stage not in 363 00:19:53,560 --> 00:19:55,920 Speaker 1: the index. So the first thing is to make sure 364 00:19:56,280 --> 00:19:59,400 Speaker 1: that we find all these companies because the traditional approaches 365 00:19:59,440 --> 00:20:02,560 Speaker 1: are leave being a big hole. Wow, good stuff, talk 366 00:20:02,640 --> 00:20:05,840 Speaker 1: about risk and hopefully return. Kevin Carter, c I O 367 00:20:06,040 --> 00:20:09,680 Speaker 1: and founder of E m q Q Global talking about 368 00:20:09,720 --> 00:20:13,359 Speaker 1: emerging markets here. The risk reward UH certainly front of 369 00:20:13,480 --> 00:20:15,720 Speaker 1: mind for a lot of investors today as we kind 370 00:20:15,720 --> 00:20:19,239 Speaker 1: of process what's going on in China, as we've got 371 00:20:19,280 --> 00:20:22,479 Speaker 1: another data point with Apple Computer and their production issues, 372 00:20:22,520 --> 00:20:29,679 Speaker 1: So front of mine for emerging market investors. W T 373 00:20:29,760 --> 00:20:33,520 Speaker 1: a coop oil getting back lots of the losses I 374 00:20:33,600 --> 00:20:35,840 Speaker 1: had earlier today. We had reached a low today of 375 00:20:35,920 --> 00:20:38,320 Speaker 1: seventy three dollars and sixty cents per barrel. We're now 376 00:20:38,320 --> 00:20:40,520 Speaker 1: it's seventy five seventy five cents a barrel, off about 377 00:20:40,520 --> 00:20:42,560 Speaker 1: six tenths of one percent. By the way, I just 378 00:20:42,600 --> 00:20:45,080 Speaker 1: texted you a photo you did, and I texted Eric 379 00:20:45,119 --> 00:20:47,760 Speaker 1: also check it out. I was at UH. I was 380 00:20:47,800 --> 00:20:51,400 Speaker 1: in Newark, Ohio this week. I drove by a gas 381 00:20:51,400 --> 00:20:53,840 Speaker 1: station called Sheets, which you may know if you're a 382 00:20:53,840 --> 00:20:55,880 Speaker 1: trucker or if you spend a lot of time on highways. 383 00:20:56,359 --> 00:21:00,720 Speaker 1: They had a dollar ninety nine a gallon unladed. That 384 00:21:00,840 --> 00:21:03,240 Speaker 1: is amazing, and I guess it's I guess it was 385 00:21:03,320 --> 00:21:06,360 Speaker 1: some kind of marketing thing. But my nephew at the Thanksgiving, 386 00:21:06,840 --> 00:21:10,200 Speaker 1: you know, gathering, when the whole extended family was there, 387 00:21:10,640 --> 00:21:12,879 Speaker 1: he's just got his driver's license, so he went around 388 00:21:12,920 --> 00:21:15,680 Speaker 1: the house collecting people's keys and driving out to fill 389 00:21:15,760 --> 00:21:19,800 Speaker 1: up at the sheets for his stuff, adding value there 390 00:21:19,840 --> 00:21:22,640 Speaker 1: for in the of a Miller household. All right, we've 391 00:21:22,680 --> 00:21:25,600 Speaker 1: got global energy here, let's talk about it. Let's round table. 392 00:21:25,720 --> 00:21:28,080 Speaker 1: We can do that with Fernando Valley. He covers this 393 00:21:28,160 --> 00:21:32,040 Speaker 1: stuff for Bloomberg Intelligence and Mike mcloney's our commodity strategist 394 00:21:32,280 --> 00:21:35,080 Speaker 1: for Bloomberg Intelligence. I have no idea where these people are, 395 00:21:35,119 --> 00:21:37,080 Speaker 1: but they're not in studio. I can tell you that 396 00:21:37,440 --> 00:21:41,840 Speaker 1: Fernando talk to me about I guess you know your 397 00:21:41,920 --> 00:21:45,880 Speaker 1: view of crude here. Is it all hinging upon demand 398 00:21:45,880 --> 00:21:49,160 Speaker 1: out of China in the short term fall. I think 399 00:21:49,200 --> 00:21:52,920 Speaker 1: that's correct. It's China, and then it is the Western 400 00:21:52,960 --> 00:21:56,120 Speaker 1: world as well, because if you remember we talked about 401 00:21:56,160 --> 00:21:59,000 Speaker 1: how you're his cartailing their demand in order to meet 402 00:21:59,040 --> 00:22:03,639 Speaker 1: their needs for winter, and then inflation is impacting consumers 403 00:22:04,280 --> 00:22:06,840 Speaker 1: on the US globally really, but in the US and 404 00:22:06,880 --> 00:22:10,560 Speaker 1: emerging markets UH, and that will impact short term demand. 405 00:22:10,880 --> 00:22:13,639 Speaker 1: I think when we look towards the second half of 406 00:22:13,640 --> 00:22:16,920 Speaker 1: twenty three and beyond, then supply becomes a bigger question 407 00:22:16,920 --> 00:22:18,880 Speaker 1: than the men. But in the short term we see 408 00:22:18,920 --> 00:22:22,600 Speaker 1: a lot of those pressures continuing. The consumer is squeezed, 409 00:22:22,640 --> 00:22:25,560 Speaker 1: and in China, between COVID zero and their own economic 410 00:22:25,640 --> 00:22:31,439 Speaker 1: walls growth UH presents a big risk for those demand Mike, 411 00:22:31,520 --> 00:22:34,399 Speaker 1: what's your take on what what we see happening in China. 412 00:22:34,440 --> 00:22:39,359 Speaker 1: Apparently the protests have been quelled today, um, but I 413 00:22:39,440 --> 00:22:43,119 Speaker 1: still think it's pretty monumental that people are willing to 414 00:22:43,400 --> 00:22:47,600 Speaker 1: risk lives and livelihood and come out to protest. I 415 00:22:47,680 --> 00:22:50,399 Speaker 1: think that's part of the micro from China. The macro 416 00:22:50,600 --> 00:22:53,600 Speaker 1: is China incremental to mind, demand from China in terms 417 00:22:53,600 --> 00:22:55,680 Speaker 1: of all commands have been declining for a long time. 418 00:22:56,000 --> 00:22:57,959 Speaker 1: There in points of crewe I really peaked a few 419 00:22:58,040 --> 00:23:00,520 Speaker 1: years ago. Now Fernando can speak to that more everybody. 420 00:23:00,520 --> 00:23:03,440 Speaker 1: A lot of the the bulls have been spoken to 421 00:23:03,520 --> 00:23:06,120 Speaker 1: the opium, but I've been pointing out this has been 422 00:23:06,119 --> 00:23:10,159 Speaker 1: happening for quite a while. Our Chinese strategists out of 423 00:23:10,280 --> 00:23:13,480 Speaker 1: Agias said, the property crisis still is another more to go. 424 00:23:13,640 --> 00:23:16,560 Speaker 1: So to me, that major inclemantal source of demand in 425 00:23:16,600 --> 00:23:18,560 Speaker 1: the world has been bad for a while. And you've 426 00:23:18,600 --> 00:23:20,960 Speaker 1: looked at the agend they tried. They dropped the triple 427 00:23:21,040 --> 00:23:22,600 Speaker 1: R rate last week. The first time they cut the 428 00:23:22,600 --> 00:23:24,440 Speaker 1: triple R rate was almost ten years ago, so they've 429 00:23:24,440 --> 00:23:26,720 Speaker 1: been they've been trying to support their counting for quite 430 00:23:26,720 --> 00:23:28,359 Speaker 1: a while. And I like to point out what's really 431 00:23:28,400 --> 00:23:31,320 Speaker 1: happened in the last ten years is OPEC's largest customer 432 00:23:31,400 --> 00:23:33,639 Speaker 1: used to be US is now a competitor. So to me, 433 00:23:33,720 --> 00:23:35,280 Speaker 1: that's part of the reason we're going to continue to 434 00:23:35,320 --> 00:23:37,000 Speaker 1: go lower and crude oil now I think now it's 435 00:23:37,000 --> 00:23:38,680 Speaker 1: pretty good price, but the key thing is it got 436 00:23:38,720 --> 00:23:42,440 Speaker 1: too expensive. That pendulum swung too expensive, nownce the question 437 00:23:42,480 --> 00:23:45,080 Speaker 1: of how cheap will it get, And it's almost guaranteed 438 00:23:45,119 --> 00:23:47,040 Speaker 1: to get some form of cheapness as a world tilts 439 00:23:47,040 --> 00:23:51,080 Speaker 1: towards recession, as our economist model for the US recession 440 00:23:51,160 --> 00:23:53,480 Speaker 1: is very high for next year. So to me, this 441 00:23:53,560 --> 00:23:55,639 Speaker 1: is just part of that pendulum sweeking back. And one 442 00:23:55,680 --> 00:23:57,600 Speaker 1: thing that Crudel has been doing is just following copper 443 00:23:57,640 --> 00:24:01,440 Speaker 1: copper on the year. But my does doesn't OPEC come 444 00:24:01,480 --> 00:24:05,119 Speaker 1: in with more production cuts as the price falls responsive. 445 00:24:05,240 --> 00:24:09,439 Speaker 1: OPEC is notorious for cutting prices in and when prices 446 00:24:09,520 --> 00:24:11,480 Speaker 1: drop a lot, their job is to keep prices up. 447 00:24:11,520 --> 00:24:14,280 Speaker 1: So the mast big example is two thousand and eight, 448 00:24:14,359 --> 00:24:17,720 Speaker 1: so OPEC will remember OPEC used to be of total 449 00:24:18,119 --> 00:24:20,639 Speaker 1: supply around ten years ago. Now they're less than thirty. 450 00:24:20,960 --> 00:24:23,560 Speaker 1: They're less and less important. The most significant thing that's 451 00:24:23,560 --> 00:24:26,520 Speaker 1: pressure crude oil prices. Since two thousand six, which is 452 00:24:26,560 --> 00:24:28,159 Speaker 1: the first time we traded, the current price on the 453 00:24:28,200 --> 00:24:32,240 Speaker 1: screen has been US supply and Canada supply seeing demand, 454 00:24:32,440 --> 00:24:35,560 Speaker 1: and the US demand actually peaked right around that time. 455 00:24:35,600 --> 00:24:38,240 Speaker 1: So this is a major paradigm shift. And this is 456 00:24:38,240 --> 00:24:40,719 Speaker 1: what I see is crudal is just a massive swinging 457 00:24:40,760 --> 00:24:43,280 Speaker 1: pendulument got too expensive, going back down, and OPEC is 458 00:24:43,320 --> 00:24:46,480 Speaker 1: becoming less and less significant. And yes they will cut 459 00:24:46,720 --> 00:24:49,120 Speaker 1: because they pointed out the Feds tighten and they see 460 00:24:49,119 --> 00:24:51,600 Speaker 1: the demand destruction. That's the biggest factor right now. And 461 00:24:51,640 --> 00:24:53,680 Speaker 1: I think Fernando even led to a demand structure and 462 00:24:53,720 --> 00:24:56,159 Speaker 1: now is just getting started. The question I asked, what 463 00:24:56,400 --> 00:24:58,879 Speaker 1: stops this process? It's not going to be fed or 464 00:24:58,960 --> 00:25:03,160 Speaker 1: Central Bank Easy. So, Fernando, you know we're talking about 465 00:25:03,200 --> 00:25:06,760 Speaker 1: some of the US shale operators. What are they telling 466 00:25:06,800 --> 00:25:11,400 Speaker 1: you about production capacity all that kind of stuff. Well, 467 00:25:11,640 --> 00:25:15,800 Speaker 1: they are struggling with inflation themselves, and they're struggling to 468 00:25:15,920 --> 00:25:19,640 Speaker 1: grow at the rates from from prior years. And so 469 00:25:19,760 --> 00:25:22,560 Speaker 1: in the short term there is a little bit of 470 00:25:22,560 --> 00:25:26,400 Speaker 1: growth still left. But we we really think that US 471 00:25:26,440 --> 00:25:29,280 Speaker 1: shell is not going to reach the levels expected a 472 00:25:29,320 --> 00:25:32,440 Speaker 1: few years back of fifteen sixteen million barrels a day 473 00:25:32,880 --> 00:25:36,560 Speaker 1: for total US production. We really think we're nearing our 474 00:25:36,960 --> 00:25:39,520 Speaker 1: overall peak and supply. And that's why I agree with 475 00:25:39,560 --> 00:25:41,040 Speaker 1: Mike in the short term that the main is a 476 00:25:41,160 --> 00:25:46,080 Speaker 1: much more relevant issue, and then the pendulum swings back 477 00:25:46,160 --> 00:25:50,080 Speaker 1: towards the upside once we don't have enough supply and 478 00:25:50,080 --> 00:25:52,480 Speaker 1: and Mike alluded to effect not being as important. We 479 00:25:52,520 --> 00:25:55,040 Speaker 1: also don't know that they have the spare capacity to 480 00:25:55,119 --> 00:25:59,400 Speaker 1: overcome that weakness in US shale. Uh. And then we 481 00:25:59,480 --> 00:26:02,360 Speaker 1: really that the inventory picture in the U S show 482 00:26:02,440 --> 00:26:07,320 Speaker 1: is a lot dimmer than was projected even one A 483 00:26:07,359 --> 00:26:10,560 Speaker 1: lot of the high quality acreage has been drilled, and 484 00:26:10,560 --> 00:26:13,000 Speaker 1: if you look at the productivity for a well in 485 00:26:13,119 --> 00:26:17,720 Speaker 1: all four large US shale basines. They're weaker in two 486 00:26:17,760 --> 00:26:23,520 Speaker 1: than he was in So just got about thirty seconds here, Fernando, Um, 487 00:26:23,560 --> 00:26:26,679 Speaker 1: do we start to see real drops in prices at 488 00:26:26,720 --> 00:26:29,120 Speaker 1: the pump as well? I know that there's a big 489 00:26:29,160 --> 00:26:32,639 Speaker 1: mechanism that needs to, you know, be played out. But 490 00:26:33,000 --> 00:26:35,879 Speaker 1: and I've lost all hope for diesel, But for regular 491 00:26:35,920 --> 00:26:38,440 Speaker 1: unletted does it continue to come down towards the sheets 492 00:26:38,520 --> 00:26:44,160 Speaker 1: dollar gallon level? Yeah, I believe that's that's true. Maybe 493 00:26:44,240 --> 00:26:46,480 Speaker 1: less so in the northeast of the US just because 494 00:26:46,480 --> 00:26:49,560 Speaker 1: of logistical issues. But when you look into the Mid 495 00:26:49,560 --> 00:26:53,119 Speaker 1: Continent Gulf Coast, you should see lower prices over for 496 00:26:53,200 --> 00:26:55,879 Speaker 1: the remainder of the year. Uh, with Brent and w 497 00:26:55,960 --> 00:26:59,679 Speaker 1: T selling off, and then even the crack spreads themselves 498 00:26:59,720 --> 00:27:02,199 Speaker 1: are little bit weaker. So you should see some relief. 499 00:27:02,960 --> 00:27:06,040 Speaker 1: Holiday relief, alright, good stuff for other people, Paul, Not 500 00:27:06,080 --> 00:27:08,480 Speaker 1: for us, No, not not for us, not in New Jersey. 501 00:27:08,480 --> 00:27:11,320 Speaker 1: For Nono Vali senior analysts Bloomberg Intelligence covering all the 502 00:27:11,400 --> 00:27:15,040 Speaker 1: energy space, and Mike mcgloan, he's our commodity strategist for 503 00:27:15,119 --> 00:27:21,119 Speaker 1: Bloomberg Intelligence, breaking down what's going on in global energy today. 504 00:27:21,320 --> 00:27:24,760 Speaker 1: Is Cyber Monday. You're gonna click away met and make 505 00:27:24,840 --> 00:27:28,160 Speaker 1: some purchases here today. I I've already done it. You've 506 00:27:28,200 --> 00:27:31,440 Speaker 1: done it. Look at you? Because I don't know how 507 00:27:31,520 --> 00:27:33,880 Speaker 1: much it really matters Cyber Monday. I started to see 508 00:27:33,960 --> 00:27:37,080 Speaker 1: huge deals pop up like on Thursday and Friday. Alrighty, okay, 509 00:27:37,359 --> 00:27:40,560 Speaker 1: all right, let's bringing Jen Bartasha. She's senior equity research channel. 510 00:27:40,600 --> 00:27:44,560 Speaker 1: She covers all the retail stuff for Bloomberg Intelligence. Jen 511 00:27:44,640 --> 00:27:46,560 Speaker 1: talk to us about kind of what we know so 512 00:27:46,600 --> 00:27:50,000 Speaker 1: far during this you know, Black Friday coming into cyber 513 00:27:50,080 --> 00:27:52,560 Speaker 1: what was it? How was it? Well, you know it 514 00:27:52,680 --> 00:27:55,520 Speaker 1: was it was probably a little bit better than people expected, 515 00:27:55,560 --> 00:27:58,720 Speaker 1: but it was nothing spectacular. Um. And that really shouldn't 516 00:27:58,760 --> 00:28:01,399 Speaker 1: be a surprise to anyone because we've got consumers who 517 00:28:01,440 --> 00:28:04,119 Speaker 1: are a little bit more conservative, um. And we have 518 00:28:04,240 --> 00:28:07,080 Speaker 1: retailers who have spread out those deals, as Matt was saying, 519 00:28:07,359 --> 00:28:10,240 Speaker 1: over a really long period of time. Yeah, I mean 520 00:28:10,240 --> 00:28:13,560 Speaker 1: they've already they already started to announce them before Black Friday, 521 00:28:13,600 --> 00:28:18,879 Speaker 1: and they seemed to last. Awhile, are retailers having a 522 00:28:18,960 --> 00:28:21,760 Speaker 1: problem with inventory across the board or is it just 523 00:28:21,840 --> 00:28:26,280 Speaker 1: specific stores that got stuck? It was really some specific 524 00:28:26,359 --> 00:28:30,280 Speaker 1: stores that we're having inventory issues, UM and and specific 525 00:28:30,359 --> 00:28:34,639 Speaker 1: categories even within certain stores. And so, you know, apparel 526 00:28:34,680 --> 00:28:36,720 Speaker 1: has been an issue. I think it's going to continue 527 00:28:36,760 --> 00:28:39,000 Speaker 1: to be an issue through this holiday season. You know, 528 00:28:39,080 --> 00:28:41,680 Speaker 1: we had our entire retail team out on Black Friday, 529 00:28:41,720 --> 00:28:44,720 Speaker 1: coming through stores, hitting the malls, UM. And you know, 530 00:28:44,840 --> 00:28:47,280 Speaker 1: we saw there were bags people were buying things, but 531 00:28:47,320 --> 00:28:49,800 Speaker 1: it wasn't in bulk. And and apparel was one of 532 00:28:49,840 --> 00:28:53,280 Speaker 1: those areas where people were buying very specific things in apparel, 533 00:28:53,280 --> 00:28:56,280 Speaker 1: it wasn't across the board. UM. So you know, I 534 00:28:56,320 --> 00:29:00,440 Speaker 1: think it's kind of a mixed a mixed result. UM. 535 00:29:00,480 --> 00:29:02,440 Speaker 1: But the good news was that people were out and 536 00:29:02,480 --> 00:29:05,000 Speaker 1: they were looking for deals. And if I were to 537 00:29:05,040 --> 00:29:07,520 Speaker 1: go shopping, and that's a big if, Jen, will I 538 00:29:07,640 --> 00:29:11,600 Speaker 1: find stuff on the shelves, you will UM that the 539 00:29:11,640 --> 00:29:14,800 Speaker 1: inventory seems to be pretty right sized. UM. You know, 540 00:29:14,880 --> 00:29:18,280 Speaker 1: there are certain certain hot items that are are out 541 00:29:18,320 --> 00:29:20,640 Speaker 1: of stock. You know, we do an annual toy survey, 542 00:29:20,720 --> 00:29:23,959 Speaker 1: for example in Bloomberg Intelligence. UM, and there are some 543 00:29:24,000 --> 00:29:26,000 Speaker 1: hot toys of the seasons that are out of stock 544 00:29:26,040 --> 00:29:30,040 Speaker 1: now across Walmart, Target, Amazon, But it's really very select 545 00:29:30,120 --> 00:29:33,520 Speaker 1: items at this point. Um, we're hoping that this means that, 546 00:29:33,600 --> 00:29:35,680 Speaker 1: you know, it'll be a solid season and that they 547 00:29:35,720 --> 00:29:38,680 Speaker 1: won't be left with too much inventory as we head 548 00:29:38,680 --> 00:29:41,280 Speaker 1: into January and February. Though, what what are the hot 549 00:29:41,320 --> 00:29:44,000 Speaker 1: what's the tickle me Elmo of or the cabbage Patch 550 00:29:44,120 --> 00:29:46,880 Speaker 1: kid of the year. Well, you know, so far this 551 00:29:46,960 --> 00:29:49,160 Speaker 1: year it's been a lot of video games are out 552 00:29:49,160 --> 00:29:52,280 Speaker 1: of stock, so people are definitely loving their gaming type 553 00:29:52,320 --> 00:29:54,120 Speaker 1: of how can video games be out of stock? You 554 00:29:54,160 --> 00:29:57,240 Speaker 1: just buy a digital copy online. A lot of them 555 00:29:57,240 --> 00:29:59,280 Speaker 1: still come on the little discs that you pop into 556 00:29:59,360 --> 00:30:02,520 Speaker 1: those those older consoles, and so you know, those those 557 00:30:02,600 --> 00:30:09,800 Speaker 1: have been uniformly popular across all the regions. Know why because, um, 558 00:30:10,120 --> 00:30:13,400 Speaker 1: kids that get them want to be able to resell 559 00:30:13,520 --> 00:30:16,840 Speaker 1: them later. So that's that's why the existence of those 560 00:30:16,840 --> 00:30:20,560 Speaker 1: discs or that explains the existence continued existence of those 561 00:30:20,600 --> 00:30:23,040 Speaker 1: discs and the game shop brick and mortar stores coming 562 00:30:23,040 --> 00:30:25,920 Speaker 1: from it makes sense. Yeah, they're like trading card versions, 563 00:30:26,000 --> 00:30:28,840 Speaker 1: but they retain value whereas you know, the digital code, 564 00:30:28,880 --> 00:30:30,800 Speaker 1: you can't really pass it on. Hey, Jen, I know 565 00:30:30,880 --> 00:30:35,280 Speaker 1: you also in your coverage cover Beyond Meat that stock 566 00:30:35,360 --> 00:30:38,400 Speaker 1: got downgraded by Barkley's today after the stocks down like 567 00:30:38,440 --> 00:30:42,720 Speaker 1: seven percent, So thanks a lot Barkley's But um, what's 568 00:30:42,800 --> 00:30:44,800 Speaker 1: the deal with that whole faux meet thing? Is that 569 00:30:44,840 --> 00:30:47,640 Speaker 1: a flash in the pan? Is this a real sector 570 00:30:47,720 --> 00:30:50,320 Speaker 1: within the the food industry? How do you think about 571 00:30:50,320 --> 00:30:52,880 Speaker 1: it now? Well, I still think of this is there's 572 00:30:52,920 --> 00:30:55,520 Speaker 1: a there's a strong long term case to be said 573 00:30:55,560 --> 00:30:59,800 Speaker 1: for alternative proteins UM, but the current environment and looking 574 00:30:59,800 --> 00:31:01,920 Speaker 1: over the next year to two years, is going to 575 00:31:01,960 --> 00:31:04,680 Speaker 1: be a really tough environment for those players. And and 576 00:31:04,720 --> 00:31:07,200 Speaker 1: really there's there's just a bunch of headwinds that they're facing. 577 00:31:07,280 --> 00:31:10,800 Speaker 1: One is this the consumer UM people are trading down UM. 578 00:31:10,880 --> 00:31:15,560 Speaker 1: Alternative proteins are more expensive still than conventional proteins, so UM, 579 00:31:15,600 --> 00:31:18,480 Speaker 1: if people are watching their budgets, they're they're pulling back 580 00:31:18,520 --> 00:31:21,600 Speaker 1: from those those alt meat products. UM. And then you 581 00:31:21,640 --> 00:31:24,120 Speaker 1: have a lot of challenges because they're growth companies and 582 00:31:24,160 --> 00:31:26,880 Speaker 1: so they have not yet mastered you know, how to 583 00:31:27,000 --> 00:31:29,840 Speaker 1: how to build a bigger business and do things the 584 00:31:29,960 --> 00:31:33,400 Speaker 1: right way with regards to manufacturing or UM lining up 585 00:31:33,400 --> 00:31:36,280 Speaker 1: their innovation queue so that they do things in a 586 00:31:36,360 --> 00:31:39,560 Speaker 1: smooth and uninterrupted manner. UM. So they're growing pains that 587 00:31:39,600 --> 00:31:43,240 Speaker 1: are happening simultaneously with external pressures as well coming from 588 00:31:43,240 --> 00:31:45,880 Speaker 1: the consumer. And Jenna know you cover the supermarkets as well, 589 00:31:46,000 --> 00:31:48,560 Speaker 1: and one of the areas that consumers have seen inflation 590 00:31:48,640 --> 00:31:52,560 Speaker 1: probably the most profound, uh, is the supermarket. Do prices 591 00:31:52,600 --> 00:31:56,320 Speaker 1: ever go back down or I don't know, are we 592 00:31:56,360 --> 00:31:59,200 Speaker 1: just gonna pay these higher levels forever? Now? They actually 593 00:31:59,280 --> 00:32:01,360 Speaker 1: do come back down. And I will say, when I 594 00:32:01,400 --> 00:32:04,000 Speaker 1: look across the broad scape of root scope of retail, 595 00:32:04,600 --> 00:32:07,480 Speaker 1: grocery stores are some of the fastest to bring prices 596 00:32:07,520 --> 00:32:11,000 Speaker 1: back down. Um. And so we will we have seen 597 00:32:11,000 --> 00:32:13,640 Speaker 1: inflation starting to moderate. I think you'll start to see 598 00:32:13,680 --> 00:32:16,520 Speaker 1: some prices come down in different categories in the store 599 00:32:16,560 --> 00:32:20,880 Speaker 1: slowly as we get into the middle of next year. UM. 600 00:32:21,080 --> 00:32:23,920 Speaker 1: But they will come down UM. Now then you know, 601 00:32:24,040 --> 00:32:26,440 Speaker 1: if there are additional pressures, they could always go back 602 00:32:26,520 --> 00:32:29,880 Speaker 1: up again. UM. But they tend to unlike other categories, 603 00:32:29,920 --> 00:32:33,080 Speaker 1: they don't necessarily reset that bottom. They sometimes they can 604 00:32:33,160 --> 00:32:37,440 Speaker 1: go back to some closer to historical norms. Um. The 605 00:32:37,440 --> 00:32:39,200 Speaker 1: problem we have with food is that we were in 606 00:32:39,320 --> 00:32:42,280 Speaker 1: years of deflation UM for a long time, and people 607 00:32:42,320 --> 00:32:45,239 Speaker 1: got very comfortable with very low food prices, especially here 608 00:32:45,240 --> 00:32:48,320 Speaker 1: in the United states um. And so that makes the 609 00:32:48,360 --> 00:32:52,600 Speaker 1: inflation we've had feel even more uh, you know, even 610 00:32:52,640 --> 00:32:58,160 Speaker 1: more challenging than than it might otherwise. Yeah, I think 611 00:32:58,280 --> 00:33:00,440 Speaker 1: that's a good point. And you know, the was reading 612 00:33:00,440 --> 00:33:04,160 Speaker 1: a few notes about not just um beyond meat but 613 00:33:04,240 --> 00:33:07,160 Speaker 1: also Tyson Foods, and analysts were saying, look, it's it's 614 00:33:07,160 --> 00:33:11,080 Speaker 1: the whole protein area space. Just because of the cost um, 615 00:33:11,200 --> 00:33:15,360 Speaker 1: you know, investors are looking for other places. Although my 616 00:33:15,480 --> 00:33:17,800 Speaker 1: initial lot was you need protein anyway to survive, you can, 617 00:33:17,960 --> 00:33:20,520 Speaker 1: you can't look for something else. It's true, but people 618 00:33:20,560 --> 00:33:23,000 Speaker 1: also aren't thinking about you know, for beef, it's a 619 00:33:23,080 --> 00:33:25,720 Speaker 1: multi year cycle to bring a cow to market, right, 620 00:33:26,080 --> 00:33:29,080 Speaker 1: and you have other factors like there's drought, um, you know, 621 00:33:29,120 --> 00:33:31,720 Speaker 1: where it makes it more expensive to feed those cattle, 622 00:33:32,000 --> 00:33:34,440 Speaker 1: which means that ranchers have fewer head. And when they 623 00:33:34,480 --> 00:33:36,560 Speaker 1: have fewer head and they go through that, you know, 624 00:33:36,680 --> 00:33:39,680 Speaker 1: eighteen months cycle, there are fewer cows, which then drives 625 00:33:39,760 --> 00:33:42,800 Speaker 1: up cost and and you know, I don't know, I mean, 626 00:33:43,280 --> 00:33:45,000 Speaker 1: I want they make in the same amount of chickens 627 00:33:45,000 --> 00:33:47,280 Speaker 1: as they always make. I don't know. Jen Bartash is 628 00:33:47,280 --> 00:33:49,880 Speaker 1: great stuff. She breaks it down for Senior Equity Research 629 00:33:49,920 --> 00:33:54,520 Speaker 1: Analystic covers everything's on the retail side consumer beyond meat. 630 00:33:54,680 --> 00:33:56,720 Speaker 1: We can pretty much ask her about anything and she's 631 00:33:56,760 --> 00:33:58,360 Speaker 1: got some good analysis to back it up, so we 632 00:33:58,400 --> 00:34:04,120 Speaker 1: appreciate getting her time. Ye thanks for listening to the 633 00:34:04,120 --> 00:34:08,080 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 634 00:34:08,080 --> 00:34:12,359 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 635 00:34:12,400 --> 00:34:16,680 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three and 636 00:34:16,800 --> 00:34:19,399 Speaker 1: on Fall Sweeney I'm on Twitter at pt Sweeney. Before 637 00:34:19,440 --> 00:34:22,320 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 638 00:34:22,360 --> 00:34:22,600 Speaker 1: Radio