1 00:00:00,600 --> 00:00:10,799 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. You're listening to the 2 00:00:10,840 --> 00:00:15,000 Speaker 1: Bloomberg Intelligence Podcast. Catch us live weekdays at ten am 3 00:00:15,040 --> 00:00:17,520 Speaker 1: Eastern on Apple car Play and Android Auto with the 4 00:00:17,520 --> 00:00:21,400 Speaker 1: Bloomberg Business App. Listen on demand wherever you get your podcasts, 5 00:00:21,640 --> 00:00:24,560 Speaker 1: or watch us live on YouTube. 6 00:00:25,079 --> 00:00:26,560 Speaker 2: MASUS is down one and a half percent. I was 7 00:00:26,560 --> 00:00:29,360 Speaker 2: looking to see if there was anything that came out recently, 8 00:00:29,400 --> 00:00:31,319 Speaker 2: and it hasn't. So I just wonder if you know, 9 00:00:31,400 --> 00:00:33,040 Speaker 2: it had a nice run up in their earnings or 10 00:00:33,120 --> 00:00:35,640 Speaker 2: still just a few months away from fifty two week high. 11 00:00:35,800 --> 00:00:37,560 Speaker 2: Maybe it's that, but we want to get more insight 12 00:00:37,800 --> 00:00:40,640 Speaker 2: onto that. Yes, raising a full year outlook good, same 13 00:00:40,640 --> 00:00:43,800 Speaker 2: store of sales falling less than estimated. Rachel Tenbrink is 14 00:00:43,880 --> 00:00:47,000 Speaker 2: general partner over Red Bike Capital. She joins us Now 15 00:00:47,520 --> 00:00:51,640 Speaker 2: in studio. Rachel, you deeply cover the retail industry. What 16 00:00:51,840 --> 00:00:53,599 Speaker 2: was your broad takeaway from Macy's. 17 00:00:54,080 --> 00:00:57,960 Speaker 3: So, I think that there's new CEO. The clock is 18 00:00:58,040 --> 00:00:59,760 Speaker 3: taking there's a lot of pressure, and so I think 19 00:00:59,800 --> 00:01:03,560 Speaker 3: that he's trying to as quickly as possible make an impact. 20 00:01:03,600 --> 00:01:06,920 Speaker 3: But truly it's hard to see the short term sort 21 00:01:06,920 --> 00:01:10,039 Speaker 3: of real pop I think what you're seeing is there's 22 00:01:10,080 --> 00:01:12,520 Speaker 3: a lot of focus on top doors. There's a lot 23 00:01:12,560 --> 00:01:17,240 Speaker 3: of focus on top performers in the Bloomingdale's and Blue Mercury, 24 00:01:17,760 --> 00:01:20,840 Speaker 3: but overall, the consumer is still challenged. They still have 25 00:01:20,959 --> 00:01:24,920 Speaker 3: inventory issues, and if you look at the overall performance, 26 00:01:25,400 --> 00:01:28,120 Speaker 3: they did a little better because they had better operating 27 00:01:28,400 --> 00:01:30,040 Speaker 3: but the top line was down. 28 00:01:31,120 --> 00:01:34,280 Speaker 4: So when I think about Macy's, I mean, obviously it 29 00:01:34,360 --> 00:01:40,080 Speaker 4: is the quintessential department store. What's the strategy for Macy's 30 00:01:40,120 --> 00:01:42,520 Speaker 4: going forward, because it just doesn't feel like this has 31 00:01:42,520 --> 00:01:44,639 Speaker 4: been a long term trend for department stores in general, 32 00:01:45,400 --> 00:01:48,120 Speaker 4: you know, with e commerce and so on, kind of. 33 00:01:48,040 --> 00:01:49,280 Speaker 5: A tough place to be. 34 00:01:49,600 --> 00:01:51,400 Speaker 4: What's the strategy for Macy's these days? 35 00:01:51,400 --> 00:01:52,360 Speaker 5: Do you think so? 36 00:01:52,560 --> 00:01:55,680 Speaker 3: I think the reality is just a smaller footprint, a 37 00:01:55,680 --> 00:02:00,840 Speaker 3: smaller company. I think it's shocking if you think about 38 00:02:00,840 --> 00:02:03,880 Speaker 3: the fact that May Season the last twenty years has 39 00:02:03,920 --> 00:02:07,680 Speaker 3: lost about twenty five percent market share and so to 40 00:02:07,720 --> 00:02:13,239 Speaker 3: whom to basically retailers, Amazon Discounters. It's just a much 41 00:02:13,280 --> 00:02:15,800 Speaker 3: smaller company than it used to be twenty years ago. 42 00:02:16,200 --> 00:02:18,640 Speaker 3: And I think that if you think about the fact 43 00:02:18,680 --> 00:02:21,400 Speaker 3: that they're going to close one hundred and fifty stores, 44 00:02:21,639 --> 00:02:23,960 Speaker 3: they're going to be left with three hundred and fifty stores. 45 00:02:24,240 --> 00:02:26,800 Speaker 3: It's just I think that it's a tough place to be. 46 00:02:27,800 --> 00:02:29,480 Speaker 3: I think there's still a place for it, and I 47 00:02:29,480 --> 00:02:32,959 Speaker 3: think they can thoughtfully talk to those customers, but it's 48 00:02:32,960 --> 00:02:34,560 Speaker 3: just going to be a smaller place. 49 00:02:35,360 --> 00:02:40,400 Speaker 2: To that point, what as their inventory functioning, Like are 50 00:02:40,440 --> 00:02:43,200 Speaker 2: they doing that well? Like having a smaller footprint might 51 00:02:43,200 --> 00:02:46,040 Speaker 2: be good into inventory management, How are they managing that? 52 00:02:46,440 --> 00:02:50,320 Speaker 3: So from what I read, they were struggling a little 53 00:02:50,320 --> 00:02:53,280 Speaker 3: bit trying to figure out the transition between spring and summer, 54 00:02:53,960 --> 00:02:57,080 Speaker 3: so they did have a little bit of elevated inventory levels, 55 00:02:57,360 --> 00:02:59,600 Speaker 3: but they seem to be doing okay. I think what 56 00:02:59,639 --> 00:03:04,920 Speaker 3: they're trying to do is create more proprietary and special experiences, 57 00:03:05,760 --> 00:03:09,640 Speaker 3: private label things that you can't find anywhere else. But 58 00:03:09,680 --> 00:03:11,200 Speaker 3: they need to hit it on the nose, and the 59 00:03:11,240 --> 00:03:16,440 Speaker 3: consumer is being very picky right now about where they're spending. 60 00:03:16,600 --> 00:03:18,600 Speaker 2: You guys know why I asked that question, right Why 61 00:03:18,919 --> 00:03:22,480 Speaker 2: too much inventory means sales? Sales means ALEX shops there. 62 00:03:23,400 --> 00:03:27,359 Speaker 2: Good inventory management mean Alex is not shop there. I'm 63 00:03:27,360 --> 00:03:29,640 Speaker 2: not paying full price. But I mean I asked that 64 00:03:30,160 --> 00:03:32,000 Speaker 2: I say that in Jess, But it does speak to 65 00:03:32,040 --> 00:03:34,920 Speaker 2: the promotional activity and if the consumer stretch and they're 66 00:03:34,960 --> 00:03:38,000 Speaker 2: being picky, that's going to rely on the promotional world 67 00:03:38,040 --> 00:03:39,600 Speaker 2: to kind of get them in the store to help 68 00:03:39,640 --> 00:03:43,320 Speaker 2: for more volume. Is Macy's part of that, Yeah. 69 00:03:43,200 --> 00:03:45,200 Speaker 3: I mean, I think what's interesting if you think about 70 00:03:45,240 --> 00:03:50,560 Speaker 3: Macy's is that they're sort of picking this biffurcated strategy 71 00:03:50,640 --> 00:03:53,480 Speaker 3: where on the one hand, they have their own, you know, 72 00:03:53,520 --> 00:03:57,040 Speaker 3: the Mace's nameplate stores, and I think they're focusing on 73 00:03:57,080 --> 00:04:00,760 Speaker 3: top doors, sharpening the inventory, sharpening the offer, and then 74 00:04:00,800 --> 00:04:03,640 Speaker 3: they're going high end with Macy's and Blue Mercury, sorry, 75 00:04:03,720 --> 00:04:06,880 Speaker 3: with Bloomingdale's and Blue Mercury to try to attract that 76 00:04:07,000 --> 00:04:09,240 Speaker 3: higher end shopper that's willing to spend a little more. 77 00:04:09,760 --> 00:04:11,720 Speaker 4: Rachel, I don't know if you're aware, but the big 78 00:04:11,720 --> 00:04:13,640 Speaker 4: news in this studio over the last week was, for 79 00:04:13,720 --> 00:04:16,320 Speaker 4: the first time ever, I went to a Walmart store 80 00:04:16,360 --> 00:04:19,960 Speaker 4: over the weekend. Hugely impressed, blown away everything. You know, 81 00:04:20,360 --> 00:04:23,080 Speaker 4: it is as you would expect because we had some 82 00:04:23,120 --> 00:04:26,400 Speaker 4: Walmart earnings last week. What do you take away from Walmart? 83 00:04:26,440 --> 00:04:29,839 Speaker 5: They seem to be doing pretty well well. 84 00:04:29,880 --> 00:04:31,480 Speaker 3: I think that you always have to look at the 85 00:04:31,520 --> 00:04:34,360 Speaker 3: relationship between Walmart Target, right, they're always head to head, 86 00:04:34,400 --> 00:04:36,880 Speaker 3: and I think right now the consumer is feeling the 87 00:04:36,880 --> 00:04:40,159 Speaker 3: financial pressure, they're feeling inflation, and they're trying to find deals. 88 00:04:40,720 --> 00:04:44,680 Speaker 3: And what's interesting is there is still this perception that 89 00:04:44,720 --> 00:04:47,279 Speaker 3: if you want to find lower price points, specially in 90 00:04:47,360 --> 00:04:50,279 Speaker 3: things like food that are basic, you go to Walmart. 91 00:04:50,320 --> 00:04:53,400 Speaker 3: Now it'll be interesting. Now, yesterday Target announced that they're 92 00:04:53,440 --> 00:04:57,240 Speaker 3: lowering prices on five thousand skews, And so how is 93 00:04:57,279 --> 00:05:00,520 Speaker 3: that going to affect the dynamic between Wall. You know, 94 00:05:00,600 --> 00:05:03,680 Speaker 3: they're they're still trying Target is still trying to keep 95 00:05:03,680 --> 00:05:08,480 Speaker 3: that upscale image that yep, but you know they're fighting 96 00:05:08,480 --> 00:05:11,279 Speaker 3: for consumers that are really caring about every penny. 97 00:05:11,400 --> 00:05:15,520 Speaker 4: I mean, I was five thousand skews. I mean, how 98 00:05:15,560 --> 00:05:17,400 Speaker 4: often does that happen? I don't think I've heard that. 99 00:05:17,440 --> 00:05:19,680 Speaker 3: I don't know if I know that. I mean, I 100 00:05:19,680 --> 00:05:23,960 Speaker 3: think that's pretty dramatic. Walmart has been lowering prices as well, 101 00:05:24,000 --> 00:05:25,880 Speaker 3: so I think they're just sharpening the competition. 102 00:05:26,279 --> 00:05:28,720 Speaker 2: So they have actually already cut prices on about fifteen 103 00:05:28,839 --> 00:05:31,800 Speaker 2: hundred items, and they had so that thousands more of 104 00:05:31,800 --> 00:05:35,720 Speaker 2: reductions are planned over the course of the summer. Yeah, 105 00:05:35,800 --> 00:05:38,840 Speaker 2: exactly right. One analyst over Barclays was saying that these 106 00:05:38,880 --> 00:05:40,680 Speaker 2: may have been planned as part of sort of the 107 00:05:40,720 --> 00:05:43,320 Speaker 2: second quarter inflection that was embedded in guidance. In the 108 00:05:43,320 --> 00:05:45,960 Speaker 2: second half maybe gets a little bit better, but obviously 109 00:05:45,960 --> 00:05:48,040 Speaker 2: that's going to be a key topic tomorrow. Also, these 110 00:05:48,040 --> 00:05:52,240 Speaker 2: items that we're talking about are milk, bread, soda, fruit, veggies. 111 00:05:52,440 --> 00:05:54,200 Speaker 4: That's good because that's where I've seen it. 112 00:05:54,279 --> 00:05:57,240 Speaker 2: Yeah, but that's also I wonder if that's a direct 113 00:05:57,839 --> 00:06:01,720 Speaker 2: competition then to Walmart, because that's where you can make 114 00:06:01,720 --> 00:06:03,600 Speaker 2: an argument that if you go to Walmart for groceries, 115 00:06:03,600 --> 00:06:04,839 Speaker 2: that's where you buy your other stuff. 116 00:06:04,880 --> 00:06:07,080 Speaker 6: And I wonder if Target's trying to play with that exactly. 117 00:06:07,120 --> 00:06:08,800 Speaker 6: I think that it's sort of a double edged store. 118 00:06:08,880 --> 00:06:12,720 Speaker 6: Target always tried to be like, you know, better quality, 119 00:06:12,800 --> 00:06:16,000 Speaker 6: higher end, but still affordable. And I think what they're 120 00:06:16,040 --> 00:06:18,640 Speaker 6: realizing is right now the customers really focusing on the 121 00:06:18,680 --> 00:06:21,279 Speaker 6: affordable and they're really focusing on the basics. So they're 122 00:06:21,279 --> 00:06:22,640 Speaker 6: going head to head on that piece. 123 00:06:23,720 --> 00:06:26,640 Speaker 4: Is there still too many stores out there, department stores 124 00:06:26,760 --> 00:06:29,760 Speaker 4: or big box I mean, particularly the department stores. I've 125 00:06:29,760 --> 00:06:32,400 Speaker 4: always heard like in the department stores. There's still too 126 00:06:32,440 --> 00:06:35,719 Speaker 4: many stores in America, but now maybe the pandemic solved 127 00:06:35,720 --> 00:06:36,520 Speaker 4: for that. I don't know. 128 00:06:36,760 --> 00:06:39,240 Speaker 3: Well, I think part of the challenge is, you know, 129 00:06:39,720 --> 00:06:42,159 Speaker 3: Macy's did announce one hundred and fifty store closures, so 130 00:06:42,200 --> 00:06:45,400 Speaker 3: they're definitely that's big. That's a big hit for them. 131 00:06:45,440 --> 00:06:47,480 Speaker 3: I think a lot of it is, you know, when 132 00:06:47,520 --> 00:06:50,880 Speaker 3: you think about stores, you also think about location and 133 00:06:50,920 --> 00:06:52,240 Speaker 3: real estate, and you. 134 00:06:52,160 --> 00:06:53,919 Speaker 2: Know, what are the top malls. 135 00:06:54,440 --> 00:06:56,400 Speaker 3: There's obviously you know, it's not just there there are 136 00:06:56,440 --> 00:06:58,479 Speaker 3: too many stores. Is that there are too many malls 137 00:06:58,880 --> 00:07:01,200 Speaker 3: and people aren't going to those malls, but there are 138 00:07:01,440 --> 00:07:05,640 Speaker 3: some shining places. So I think it's about like finding 139 00:07:05,680 --> 00:07:09,240 Speaker 3: the winners and having a smaller sharper footprint versus so 140 00:07:09,320 --> 00:07:09,960 Speaker 3: many doors. 141 00:07:10,080 --> 00:07:12,400 Speaker 2: And it was interesting you say that, Paul, because some 142 00:07:12,480 --> 00:07:16,360 Speaker 2: of these malls are being anchored by Target. So you 143 00:07:16,400 --> 00:07:18,880 Speaker 2: also have to wonder if Target has to retrench a 144 00:07:18,920 --> 00:07:20,840 Speaker 2: little bit here, what does that wind up meaning then 145 00:07:21,360 --> 00:07:24,840 Speaker 2: for the mall what would be good from Target when 146 00:07:24,880 --> 00:07:25,640 Speaker 2: they report? 147 00:07:25,840 --> 00:07:28,240 Speaker 3: So I think the expectation is that they're going to 148 00:07:28,240 --> 00:07:32,880 Speaker 3: be up slightly about one percent, but we'll have to see. 149 00:07:33,280 --> 00:07:36,160 Speaker 3: I mean, I do think that this news of better 150 00:07:36,200 --> 00:07:37,880 Speaker 3: pricing is going to have an impact on them? 151 00:07:38,760 --> 00:07:42,920 Speaker 2: Mean yeah, meaning that that would be helpful volume, but 152 00:07:42,960 --> 00:07:47,400 Speaker 2: then obviously not with margins correct, So interesting, where. 153 00:07:47,240 --> 00:07:49,760 Speaker 4: Do we go from here for retail? I mean, what's 154 00:07:49,800 --> 00:07:51,360 Speaker 4: your takeaway on the consumer? 155 00:07:51,400 --> 00:07:51,600 Speaker 7: Here? 156 00:07:53,000 --> 00:07:55,360 Speaker 4: The consumer seems like it's I guess that K shaped 157 00:07:55,400 --> 00:07:59,400 Speaker 4: economy where some small percentage are doing quite well, particularly 158 00:07:59,400 --> 00:08:02,600 Speaker 4: those that don't said stocks, bonds, houses, and everybody else 159 00:08:02,680 --> 00:08:04,720 Speaker 4: is really feel into pain. Is that what you're hearing 160 00:08:04,720 --> 00:08:05,520 Speaker 4: from the retailers? 161 00:08:05,800 --> 00:08:06,440 Speaker 6: Absolutely? 162 00:08:06,480 --> 00:08:09,400 Speaker 3: I think that there is this sort of biffurcation of 163 00:08:09,440 --> 00:08:11,520 Speaker 3: like the have and the have nots, And so for 164 00:08:11,640 --> 00:08:14,640 Speaker 3: some consumers it's a small group, but they're very profitable. 165 00:08:14,640 --> 00:08:18,040 Speaker 3: They're doing okay, they're still spending, they're still going to Bloomingdale's, 166 00:08:18,040 --> 00:08:22,280 Speaker 3: they're still buying their targe, And for others, they're really struggling. 167 00:08:22,440 --> 00:08:24,920 Speaker 3: And I think it's sort of come to that breaking 168 00:08:24,960 --> 00:08:27,960 Speaker 3: point where when you start to see stores lowering prices 169 00:08:28,640 --> 00:08:30,560 Speaker 3: there's a real pressure from the consumer. 170 00:08:30,560 --> 00:08:31,520 Speaker 5: Good point, yeah, but. 171 00:08:31,480 --> 00:08:33,520 Speaker 2: Then obviously hurts the margins and then it's like as 172 00:08:33,520 --> 00:08:35,400 Speaker 2: a stock investor, you're like, well, do I like that 173 00:08:35,720 --> 00:08:39,360 Speaker 2: volume versus margins in your experience when the retail sector, 174 00:08:39,880 --> 00:08:41,760 Speaker 2: which ones are kind of crushing it right now, because 175 00:08:41,760 --> 00:08:44,760 Speaker 2: it does seem to me that what names that people 176 00:08:44,920 --> 00:08:49,080 Speaker 2: like are very targeted, right like a specialty retail store 177 00:08:49,360 --> 00:08:50,559 Speaker 2: is the winner? Is that true? 178 00:08:50,679 --> 00:08:50,880 Speaker 8: Yeah? 179 00:08:50,960 --> 00:08:52,520 Speaker 3: I mean the first name that comes to mind is 180 00:08:52,559 --> 00:08:56,680 Speaker 3: Sephora and how it continues to outperform. You know, there's 181 00:08:56,720 --> 00:08:59,520 Speaker 3: a lot of talk about Sephora kids, but. 182 00:08:59,520 --> 00:09:01,080 Speaker 4: You just see, so what's a kid? 183 00:09:01,320 --> 00:09:03,640 Speaker 3: So a Sephora kid is my twelve year old daughter 184 00:09:03,760 --> 00:09:08,720 Speaker 3: who enjoys spending hours at Sephora. But guess what it 185 00:09:08,880 --> 00:09:12,120 Speaker 3: means she buys? It means I buy. And I do 186 00:09:12,200 --> 00:09:15,480 Speaker 3: think that there is an interesting approach where you know, 187 00:09:15,559 --> 00:09:18,240 Speaker 3: these gen Z consumers that everybody thought, well, they don't 188 00:09:18,240 --> 00:09:21,080 Speaker 3: really have that much disposable income, but guess what they 189 00:09:21,280 --> 00:09:22,560 Speaker 3: bring along others? 190 00:09:22,840 --> 00:09:24,960 Speaker 2: And have you ever seen the line and over here 191 00:09:25,320 --> 00:09:28,440 Speaker 2: their story always a long line depths of the pandemic lockdown, 192 00:09:28,920 --> 00:09:31,760 Speaker 2: I mean ground zero, the lockdown people in support. 193 00:09:31,880 --> 00:09:33,600 Speaker 4: A they didn't close the store, and B there were 194 00:09:33,600 --> 00:09:36,000 Speaker 4: people in there, I mean triple massed up or whatever. 195 00:09:36,280 --> 00:09:38,959 Speaker 4: They were there and they were in our chocolate store downstairs. 196 00:09:39,000 --> 00:09:41,679 Speaker 2: You know what we do, Paul, We invest in our face, yes, yes, 197 00:09:41,720 --> 00:09:47,040 Speaker 2: and that comes in many different forms. And after we 198 00:09:48,840 --> 00:09:51,760 Speaker 2: go eat chocolate, and that is what we do. Very good, 199 00:09:51,800 --> 00:09:53,439 Speaker 2: all right, good stuff. Thanks a lot, really appreciate it. 200 00:09:53,520 --> 00:09:56,160 Speaker 2: Rachel Tenbring joining us. I'm a partner over at Red 201 00:09:56,240 --> 00:09:59,839 Speaker 2: Bike Capital. We'll see how those numbers wind up stacking up. 202 00:10:01,400 --> 00:10:05,280 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 203 00:10:05,360 --> 00:10:08,400 Speaker 1: weekdays at ten am Eastern on Apple car Play and 204 00:10:08,400 --> 00:10:11,320 Speaker 1: androyd Otto with the Bloomberg Business App. You can also 205 00:10:11,400 --> 00:10:14,600 Speaker 1: listen live on Amazon Alexa from our flagship New York 206 00:10:14,640 --> 00:10:18,760 Speaker 1: station Just Say Alexa playing Bloomberg eleven thirty. 207 00:10:19,360 --> 00:10:20,160 Speaker 5: Let's top Low's. 208 00:10:20,559 --> 00:10:23,440 Speaker 4: I mean I went to I've been to a Low's 209 00:10:23,520 --> 00:10:25,440 Speaker 4: and now I had not been to a Walmart until 210 00:10:25,480 --> 00:10:27,920 Speaker 4: this past Sunday, but I've been to Lolaise. Now I'm 211 00:10:27,920 --> 00:10:30,600 Speaker 4: not John Tucker, but I know my way around a Lows. 212 00:10:30,679 --> 00:10:32,559 Speaker 4: Drew reading those his way around the Lows. He's the 213 00:10:32,559 --> 00:10:36,320 Speaker 4: home building autost of Bloomberg Intelligence. Joining us from Princeton, 214 00:10:36,320 --> 00:10:38,680 Speaker 4: New Jersey. Forgot about the whole New Jersey transit can 215 00:10:38,720 --> 00:10:39,800 Speaker 4: get into New York City thing? 216 00:10:39,920 --> 00:10:43,000 Speaker 2: No, apparently not today. It's really. Oh yeah, it already 217 00:10:43,120 --> 00:10:43,720 Speaker 2: broken down. 218 00:10:43,840 --> 00:10:47,040 Speaker 4: It's like I'm just ignoring it and hoping it'll be 219 00:10:47,040 --> 00:10:48,680 Speaker 4: fine by the time I leave here. 220 00:10:48,880 --> 00:10:50,560 Speaker 5: That's my That's how I'm approaching this. 221 00:10:50,760 --> 00:10:53,200 Speaker 4: Drew talk to us about Low's here. Are people still 222 00:10:53,240 --> 00:10:55,600 Speaker 4: kind of remodeling their basements. 223 00:10:56,880 --> 00:10:58,599 Speaker 8: Yeah, So the quarter was a little bit of a 224 00:10:58,679 --> 00:11:01,800 Speaker 8: tug of war between sales and margins, and I think 225 00:11:01,840 --> 00:11:04,559 Speaker 8: you're seeing that reflected in the stock today. Same store 226 00:11:04,559 --> 00:11:07,200 Speaker 8: sales were down about four percent, which was better than 227 00:11:07,240 --> 00:11:10,040 Speaker 8: the five to six percent decline consensus was looking for. 228 00:11:10,840 --> 00:11:13,200 Speaker 8: But part of that sales performance was due to the 229 00:11:13,240 --> 00:11:15,640 Speaker 8: fact that there was a more promotional environment out there. 230 00:11:16,080 --> 00:11:19,160 Speaker 8: If you think back to when Home Depot reported last week, 231 00:11:19,320 --> 00:11:22,000 Speaker 8: they cite a late start to spring as something that 232 00:11:22,080 --> 00:11:24,960 Speaker 8: muted sales. Lows actually said Spring got off to a 233 00:11:24,960 --> 00:11:27,160 Speaker 8: good start, and that has to do with them being 234 00:11:27,240 --> 00:11:30,760 Speaker 8: more aggressive on promotions as part of their Spring Fest, 235 00:11:31,559 --> 00:11:33,680 Speaker 8: and I think that really speaks to you know, what 236 00:11:33,720 --> 00:11:36,520 Speaker 8: we're seeing really across the retail landscape with the consumer, 237 00:11:36,559 --> 00:11:39,320 Speaker 8: and that's that they're looking for value wherever they could 238 00:11:39,320 --> 00:11:42,680 Speaker 8: get it. Now. They did reaffirm their full year operating 239 00:11:42,720 --> 00:11:44,880 Speaker 8: margin guidance, but that's going to require the company to 240 00:11:44,920 --> 00:11:48,280 Speaker 8: execute on some internal initiatives. In the back half of 241 00:11:48,320 --> 00:11:52,320 Speaker 8: the year, Low's has made good progress in improving their 242 00:11:52,400 --> 00:11:55,360 Speaker 8: their margin profile and them narrowing the gap with Home 243 00:11:55,400 --> 00:11:58,800 Speaker 8: Depot has really been a key that investors have kind of, 244 00:11:59,000 --> 00:12:01,480 Speaker 8: you know, grasped onto. So the fact that they're taking 245 00:12:01,480 --> 00:12:04,240 Speaker 8: a little bit of a step back here maybe making 246 00:12:04,280 --> 00:12:05,280 Speaker 8: them a little bit uneasy. 247 00:12:06,120 --> 00:12:09,360 Speaker 2: When how much would the stock have to rerate for 248 00:12:09,760 --> 00:12:13,160 Speaker 2: investors and analysts to say, okay, fine, the margins are suffering, 249 00:12:13,160 --> 00:12:14,960 Speaker 2: but at least the volume and the sales are there. 250 00:12:16,760 --> 00:12:19,840 Speaker 8: Yeah, well, the stock is still trading above you know, 251 00:12:19,880 --> 00:12:21,760 Speaker 8: the ten year average, even if you go back to 252 00:12:22,320 --> 00:12:25,480 Speaker 8: prior to the pandemic, So from a pure valuation perspective, 253 00:12:26,640 --> 00:12:29,160 Speaker 8: you know, it's still a little bit elevated. That being said, 254 00:12:29,200 --> 00:12:31,400 Speaker 8: I mean, if you take a step back, the move 255 00:12:31,440 --> 00:12:34,160 Speaker 8: they've made on margins and narrowing the gap with home 256 00:12:34,200 --> 00:12:36,440 Speaker 8: Depot has been impressive over the last couple of years. 257 00:12:36,520 --> 00:12:39,160 Speaker 8: So I think, you know, the bulls would argue that 258 00:12:39,200 --> 00:12:41,760 Speaker 8: this is kind of a one off, and as we 259 00:12:41,760 --> 00:12:44,440 Speaker 8: get to the back half of the year, margins start 260 00:12:44,480 --> 00:12:48,600 Speaker 8: to improve as they implement some of their PPI initiatives, 261 00:12:49,840 --> 00:12:52,400 Speaker 8: and in terms of sales, you know, we're not expecting 262 00:12:52,400 --> 00:12:56,080 Speaker 8: a huge rebound in sales this year and the second 263 00:12:56,160 --> 00:12:58,640 Speaker 8: half comps will definitely get easier. But even Lows has 264 00:12:58,679 --> 00:13:02,280 Speaker 8: stated that comps may turn positive, but that's not a 265 00:13:02,320 --> 00:13:06,240 Speaker 8: reflection of an improved demand environment. It's strictly a reflection 266 00:13:06,360 --> 00:13:08,840 Speaker 8: of easier comps. So we think as we get into 267 00:13:08,840 --> 00:13:11,400 Speaker 8: twenty twenty five, that's when we would expect the market 268 00:13:11,440 --> 00:13:13,400 Speaker 8: to see more of a turn, as we get more 269 00:13:13,400 --> 00:13:15,240 Speaker 8: of a rebound and existing home sales. 270 00:13:16,320 --> 00:13:19,360 Speaker 4: How about lumber, That's something they buy a lot of. 271 00:13:19,800 --> 00:13:22,280 Speaker 4: How's the cost of lumber these days? How's that impacting 272 00:13:22,600 --> 00:13:23,720 Speaker 4: their margins? 273 00:13:24,040 --> 00:13:26,880 Speaker 8: Yeah, lumber is about ten percent of sales for both 274 00:13:26,920 --> 00:13:30,680 Speaker 8: Home Depot and Lows. Lumber was really more of a 275 00:13:30,720 --> 00:13:33,760 Speaker 8: story last year was extremely volatile, so you saw the 276 00:13:33,760 --> 00:13:37,360 Speaker 8: impact on their top line. There not so much of 277 00:13:37,400 --> 00:13:40,640 Speaker 8: a story this year. I think commodity particularly lumber, are 278 00:13:40,640 --> 00:13:42,600 Speaker 8: going to have less of an impact in the near term. 279 00:13:43,640 --> 00:13:46,080 Speaker 2: So you feel like we're not going to really see 280 00:13:46,400 --> 00:13:48,640 Speaker 2: a benefit in HOLD twenty twenty five. I mean, some 281 00:13:48,720 --> 00:13:50,360 Speaker 2: analysts are looking for the back half of this year. 282 00:13:50,360 --> 00:13:52,160 Speaker 2: Maybe some improvement. But for you it's really like a 283 00:13:52,240 --> 00:13:53,200 Speaker 2: year out kind of thing. 284 00:13:54,480 --> 00:13:56,280 Speaker 8: Well, I think as we get to the end of 285 00:13:56,320 --> 00:13:58,040 Speaker 8: this year, I think you'll start to see a little 286 00:13:58,080 --> 00:14:00,439 Speaker 8: bit of a turn, and a lot of that predicate 287 00:14:00,559 --> 00:14:03,760 Speaker 8: upon with what happens in the housing market. Obviously people 288 00:14:04,160 --> 00:14:05,920 Speaker 8: are looking for the FED to cut rates at some 289 00:14:06,000 --> 00:14:08,400 Speaker 8: point this year, obviously not as much as we had 290 00:14:08,640 --> 00:14:11,120 Speaker 8: hoped for previously. But we think that you know, when 291 00:14:11,120 --> 00:14:14,160 Speaker 8: you when you look at existing home sales, we're you know, 292 00:14:14,200 --> 00:14:17,040 Speaker 8: at the lowest levels in you know, more than two decades, 293 00:14:17,120 --> 00:14:19,880 Speaker 8: So there's not a whole lot lower we can go 294 00:14:20,160 --> 00:14:22,960 Speaker 8: absent you know, a broader economic decline where you start 295 00:14:23,000 --> 00:14:25,240 Speaker 8: to see a lot of job loss. So we think that, 296 00:14:25,360 --> 00:14:26,680 Speaker 8: you know, if rates come in a little bit, you 297 00:14:26,680 --> 00:14:28,720 Speaker 8: could kind of start to build a little momentum ending 298 00:14:28,760 --> 00:14:31,600 Speaker 8: this year carrying into next year. When we think, you know, 299 00:14:31,680 --> 00:14:34,480 Speaker 8: bigger picture about the home improvement market, there's some there's 300 00:14:34,480 --> 00:14:37,600 Speaker 8: some solid tail winds out there. You know, you have 301 00:14:37,760 --> 00:14:40,520 Speaker 8: homeowners who are sitting on record amount of home equity. 302 00:14:41,120 --> 00:14:42,840 Speaker 8: When you think about you know, the rise and home 303 00:14:42,880 --> 00:14:45,760 Speaker 8: prices we've seen over the last several years, you've got 304 00:14:45,760 --> 00:14:48,240 Speaker 8: an aging housing stock, and I think the fact that 305 00:14:48,320 --> 00:14:51,760 Speaker 8: mobility has been so low because of those high interest 306 00:14:51,840 --> 00:14:54,520 Speaker 8: rates is going to continue to encourage people to invest 307 00:14:54,520 --> 00:14:56,640 Speaker 8: in their house and I think what kind of triggers 308 00:14:56,640 --> 00:14:58,400 Speaker 8: that is rates coming back in a little bit so 309 00:14:58,440 --> 00:15:00,520 Speaker 8: you can start to tap that equity. 310 00:15:01,440 --> 00:15:03,360 Speaker 4: True, how many stores as Lows have and are they 311 00:15:03,520 --> 00:15:07,080 Speaker 4: adding stores? Are they pairing backstores? Kind of worthy with 312 00:15:07,120 --> 00:15:08,200 Speaker 4: their store count these days? 313 00:15:08,600 --> 00:15:12,360 Speaker 8: Yeah, so they're under two thousand. It's an interesting dynamic. 314 00:15:12,480 --> 00:15:16,160 Speaker 8: So their competitor, Home Depot, is actually embarking on their 315 00:15:16,160 --> 00:15:19,200 Speaker 8: first store expansion in a long time. Lows, on the 316 00:15:19,200 --> 00:15:21,200 Speaker 8: other hand, has cut back. They got out of their 317 00:15:21,200 --> 00:15:24,800 Speaker 8: Canadian business, which reduced their store a count. But what 318 00:15:24,840 --> 00:15:28,320 Speaker 8: they're doing from a store perspective is really introducing new formats. 319 00:15:28,360 --> 00:15:32,160 Speaker 8: So they're starting to go after the rural customer. Their 320 00:15:32,200 --> 00:15:35,760 Speaker 8: stores tend to be located in more rural locations compared 321 00:15:35,760 --> 00:15:39,000 Speaker 8: to Home Depot, which are more densely populated locations, and 322 00:15:39,000 --> 00:15:41,720 Speaker 8: they found success with that, so they're starting to compete 323 00:15:41,720 --> 00:15:44,640 Speaker 8: more with the tractor supplies of the world. They're also 324 00:15:44,760 --> 00:15:50,640 Speaker 8: introducing Low's outlets, So if you think of you know, 325 00:15:51,160 --> 00:15:53,840 Speaker 8: appliances that might have things and scratches. You could go 326 00:15:53,880 --> 00:15:56,840 Speaker 8: there and get heavily discounted items, and that's another way 327 00:15:56,880 --> 00:15:59,600 Speaker 8: they're looking to kind of, you know, drive traffic through 328 00:15:59,640 --> 00:16:00,360 Speaker 8: the lows brand. 329 00:16:00,520 --> 00:16:03,600 Speaker 2: Okay, now you're speaking my language. You put outlet there, 330 00:16:03,640 --> 00:16:06,120 Speaker 2: and I'm like, boom, we will go find things that 331 00:16:06,160 --> 00:16:06,680 Speaker 2: are cool. 332 00:16:06,760 --> 00:16:07,760 Speaker 5: I don't do outlets either. 333 00:16:08,000 --> 00:16:08,280 Speaker 9: You don't. 334 00:16:08,400 --> 00:16:11,560 Speaker 2: I know, you don't do outlets. That's my thing. It's 335 00:16:11,640 --> 00:16:14,400 Speaker 2: just my thing. Even if I had a bazillion dollars, 336 00:16:14,440 --> 00:16:16,080 Speaker 2: I wouldn't pay full price. Part of the hunt. 337 00:16:16,200 --> 00:16:16,640 Speaker 6: Okay. 338 00:16:17,200 --> 00:16:20,400 Speaker 2: AnyWho so drew based on all this, If I wanted 339 00:16:20,400 --> 00:16:23,320 Speaker 2: to play this housing market right now, what is the 340 00:16:23,320 --> 00:16:25,440 Speaker 2: best play? And I say that because it's not like 341 00:16:25,480 --> 00:16:29,320 Speaker 2: the housing market that the demand isn't there, the supply 342 00:16:29,520 --> 00:16:32,120 Speaker 2: might not be there. The costs are a little too high, 343 00:16:32,240 --> 00:16:35,480 Speaker 2: mortgage rates are too high, but eventually it'll normalize. What's 344 00:16:35,520 --> 00:16:37,160 Speaker 2: the best way to capitalize. 345 00:16:38,360 --> 00:16:41,800 Speaker 8: We think right now kind of sitting at the top 346 00:16:41,840 --> 00:16:46,680 Speaker 8: of the broader housing ecosystem is the home builders. We think, 347 00:16:46,840 --> 00:16:49,200 Speaker 8: you know, from a supply perspective, they're in a good 348 00:16:49,200 --> 00:16:52,600 Speaker 8: position their ability to buy down mortgage rates and make 349 00:16:52,680 --> 00:16:56,640 Speaker 8: payments more palatable to the consumers is something that differentiates 350 00:16:57,040 --> 00:16:59,960 Speaker 8: them versus the resale market. They're going to grow community 351 00:17:00,040 --> 00:17:02,160 Speaker 8: accounts in the coming years, so we really think that 352 00:17:02,200 --> 00:17:05,400 Speaker 8: they're still in a good position from a competitive perspective. 353 00:17:05,440 --> 00:17:07,400 Speaker 8: And when you look at you know, within the home 354 00:17:07,400 --> 00:17:11,160 Speaker 8: building space, you have the large, well capitalized, publicly traded 355 00:17:11,200 --> 00:17:14,399 Speaker 8: homebuilders who have access to land, access to labor, and 356 00:17:14,400 --> 00:17:17,399 Speaker 8: you compare that versus the smaller private piers, and you 357 00:17:17,440 --> 00:17:20,080 Speaker 8: have to remember home building is a very fragmented industry, 358 00:17:20,840 --> 00:17:24,520 Speaker 8: particularly outside some of the largest markets. But those smaller 359 00:17:24,600 --> 00:17:28,280 Speaker 8: private peers tend to rely on regional banks for growth 360 00:17:28,320 --> 00:17:31,760 Speaker 8: capital and with you know, a slowing economy and more 361 00:17:31,800 --> 00:17:34,679 Speaker 8: concern there, you're starting to see a poolback and lending. 362 00:17:34,720 --> 00:17:37,119 Speaker 8: So we think it's a good opportunity for those larger 363 00:17:37,119 --> 00:17:38,560 Speaker 8: builders to continue to take share. 364 00:17:39,359 --> 00:17:41,520 Speaker 2: Great stuff. Drew, really appreciate it. Thank you so much 365 00:17:41,600 --> 00:17:45,640 Speaker 2: to reading Bloomberg Intelligence US home Building Analyst. Joining us there. 366 00:17:48,119 --> 00:17:52,000 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 367 00:17:52,080 --> 00:17:55,400 Speaker 1: weekdays at ten am Eastern on Focarplay and rout outo 368 00:17:55,520 --> 00:17:58,399 Speaker 1: with the Bloomberg Business app. Listen on demand wherever you 369 00:17:58,480 --> 00:18:02,160 Speaker 1: get your podcasts, or just live on YouTube. 370 00:18:03,160 --> 00:18:06,360 Speaker 2: This is Bloomberg Intelligence Radio. I'm Alex C alongside Paul 371 00:18:06,400 --> 00:18:08,879 Speaker 2: Sweeney and John Tucker. We bring you all the news 372 00:18:08,880 --> 00:18:11,360 Speaker 2: in finance and economics through our lens of our Bloomberg 373 00:18:11,359 --> 00:18:14,720 Speaker 2: Intelligence analysts. They cover about two thousand companies one hundred 374 00:18:14,720 --> 00:18:17,080 Speaker 2: and thirty industries worldwide. We also use this time to 375 00:18:17,080 --> 00:18:19,840 Speaker 2: talk about stuff that Paul and I are interested in, 376 00:18:19,960 --> 00:18:23,399 Speaker 2: so media, maybe some retail, maybe some sports, oh and 377 00:18:23,520 --> 00:18:26,960 Speaker 2: maybe some energy. Joining us in studio is a doctor 378 00:18:27,040 --> 00:18:31,919 Speaker 2: Jeff Chamberlain. He is CEO of Volta Energy Technologies. I 379 00:18:31,920 --> 00:18:33,440 Speaker 2: don't know what that is, so I'm going to learn 380 00:18:33,440 --> 00:18:37,120 Speaker 2: about it, doctor Jeff Chamberlain. Welcome, thank you for joining us. 381 00:18:37,520 --> 00:18:39,720 Speaker 2: What is Volta Energy Technologies? 382 00:18:39,960 --> 00:18:42,680 Speaker 5: Well, thank you Alex for having me. Volta Energy Technologies 383 00:18:42,720 --> 00:18:44,720 Speaker 5: is a venture capital firm that we spun out of 384 00:18:44,880 --> 00:18:48,600 Speaker 5: Argon National Laboratory, which is one of the seventeen Department 385 00:18:48,600 --> 00:18:51,040 Speaker 5: of Energy labs and the lead in battery and storage 386 00:18:51,040 --> 00:18:53,440 Speaker 5: tech and development for vehicles and for the grid. 387 00:18:53,840 --> 00:18:57,160 Speaker 2: So that means that you are trying to find good 388 00:18:57,240 --> 00:19:01,440 Speaker 2: battery storage solutions that we can adopt on a cheaper scale. 389 00:19:02,040 --> 00:19:03,639 Speaker 7: YEP, that's going. That's it. 390 00:19:03,680 --> 00:19:07,160 Speaker 5: Basically. And I'll tell you the big thing that we've 391 00:19:07,200 --> 00:19:10,040 Speaker 5: noticed is a couple of things. One is, a lot 392 00:19:10,040 --> 00:19:12,639 Speaker 5: of people are focused on the downstream device. Who's going 393 00:19:12,680 --> 00:19:14,280 Speaker 5: to be the next big electric, who's going to be 394 00:19:14,320 --> 00:19:16,880 Speaker 5: the next Tesla, who's going to be the next Panasonic 395 00:19:17,000 --> 00:19:20,400 Speaker 5: or CTL in terms of the battery manufacturing. But before 396 00:19:20,440 --> 00:19:22,159 Speaker 5: I worked for the government, I worked in the chip industry, 397 00:19:22,160 --> 00:19:24,280 Speaker 5: and we expect this to go just like the chip industry, 398 00:19:24,280 --> 00:19:27,120 Speaker 5: where costs down will be king, and cost down will 399 00:19:27,119 --> 00:19:30,760 Speaker 5: come from innovations in the supply chain and in the adjacencies, 400 00:19:30,800 --> 00:19:33,960 Speaker 5: things like fast charge, things like power electronics on board 401 00:19:34,000 --> 00:19:37,000 Speaker 5: the vehicle, new ways to make batteries, all the way 402 00:19:37,040 --> 00:19:40,240 Speaker 5: upstream to mining lithium. So while the while a lot 403 00:19:40,280 --> 00:19:43,960 Speaker 5: of investors tend to be focused on those very downstream devices, 404 00:19:44,000 --> 00:19:46,879 Speaker 5: the truth is lithium is king and it will be 405 00:19:47,000 --> 00:19:50,600 Speaker 5: for decades going forward, just like oil and gas has 406 00:19:50,600 --> 00:19:53,359 Speaker 5: been king for a century, just like silicon has been 407 00:19:53,400 --> 00:19:56,679 Speaker 5: king in the semiconnuctor industry and yet created trillions of 408 00:19:56,680 --> 00:20:00,560 Speaker 5: dollars of wealth by modifications and wealth generally in the 409 00:20:00,600 --> 00:20:03,840 Speaker 5: supply chain and in the adjacencies. So it's going well, 410 00:20:03,880 --> 00:20:06,000 Speaker 5: We're finding a lot of good tech. Where does lithium 411 00:20:06,040 --> 00:20:09,240 Speaker 5: come from? And then how are you investing in that? Yeah, 412 00:20:09,240 --> 00:20:11,200 Speaker 5: if we go all the way upstream, let me start 413 00:20:11,200 --> 00:20:14,080 Speaker 5: by saying, there is no better time for investors in 414 00:20:14,119 --> 00:20:16,280 Speaker 5: the private markets. And this is a counter two to 415 00:20:16,359 --> 00:20:18,920 Speaker 5: thought from what you read in the mainstream media. Investing 416 00:20:18,920 --> 00:20:21,840 Speaker 5: in the kinds of technologies that we're investing in because 417 00:20:21,880 --> 00:20:24,920 Speaker 5: the needs of the end users are increasing, and by 418 00:20:24,960 --> 00:20:28,240 Speaker 5: needs I mean lowering costs and improving performance. There's a reason 419 00:20:28,320 --> 00:20:31,240 Speaker 5: one week ago today the Biden administration put in tariffs 420 00:20:31,720 --> 00:20:34,600 Speaker 5: that are one hundred percent for electric vehicles coming from China. 421 00:20:35,359 --> 00:20:39,159 Speaker 5: That happened because the US automotive groups lobbied for that 422 00:20:39,280 --> 00:20:42,640 Speaker 5: to happen. They know those cars will sell. A lot 423 00:20:42,640 --> 00:20:45,280 Speaker 5: of the mainstream media says nobody wants to buy electric vehicles. 424 00:20:45,560 --> 00:20:48,840 Speaker 5: They just leave off the second phrase unless they're lower costs. 425 00:20:50,040 --> 00:20:52,000 Speaker 5: But when we go all the way back up to mining, 426 00:20:52,040 --> 00:20:54,440 Speaker 5: it's notable what the big companies are doing. Last fall, 427 00:20:54,520 --> 00:20:57,520 Speaker 5: after I was here talking to Paul, actually Exon announced 428 00:20:57,520 --> 00:21:00,520 Speaker 5: that they want to become lithium suppliers. They're going to 429 00:21:00,560 --> 00:21:04,120 Speaker 5: do it is to leverage their own downhole and refining 430 00:21:04,160 --> 00:21:07,720 Speaker 5: capabilities and to adopt and scale something called direct lithium 431 00:21:07,720 --> 00:21:11,280 Speaker 5: extraction or in my industry they call it DLE daily. 432 00:21:12,520 --> 00:21:15,560 Speaker 5: It's a new way to extract and refine lithium and 433 00:21:15,640 --> 00:21:18,240 Speaker 5: it's like it sounds, it's direct. If you can remove 434 00:21:18,359 --> 00:21:21,399 Speaker 5: process steps and use less water, use less energy, you 435 00:21:21,560 --> 00:21:24,960 Speaker 5: end up with a lower cost production. So prices of 436 00:21:25,000 --> 00:21:28,200 Speaker 5: lithium in the market have been fluctuating substantially these last 437 00:21:28,200 --> 00:21:31,520 Speaker 5: five six years, where the cost of manufacturing has stayed 438 00:21:31,520 --> 00:21:31,960 Speaker 5: the same. 439 00:21:32,760 --> 00:21:35,680 Speaker 2: So where you guys would play in that, for example, 440 00:21:35,760 --> 00:21:38,600 Speaker 2: like I know that's Exxon's investment, you'd be investing in 441 00:21:38,600 --> 00:21:41,720 Speaker 2: the technology that would make direct to mining lithium precisely. 442 00:21:41,880 --> 00:21:44,240 Speaker 5: Precisely. In our fund one, we invested in a company 443 00:21:44,280 --> 00:21:47,840 Speaker 5: called Summit Nanotech and Canada that is now scaling in 444 00:21:47,920 --> 00:21:50,640 Speaker 5: Chile with one of the big lithium suppliers to supply 445 00:21:50,800 --> 00:21:52,440 Speaker 5: that tech to lower the cost. 446 00:21:52,240 --> 00:21:56,000 Speaker 2: When you go fully, when you go further up the 447 00:21:56,040 --> 00:21:58,280 Speaker 2: supply chain, is that where it lands for you in 448 00:21:58,359 --> 00:22:01,040 Speaker 2: lithium you're not looking at like graph or cobalt or 449 00:22:01,080 --> 00:22:01,760 Speaker 2: other stuff. 450 00:22:01,920 --> 00:22:04,880 Speaker 5: Yes, thanks Alex, you know they claim, Paul and as 451 00:22:04,880 --> 00:22:06,640 Speaker 5: claimed they don't know a lot here, but they clearly do. 452 00:22:06,960 --> 00:22:08,720 Speaker 2: Yes, I know, I know, I lot. 453 00:22:11,920 --> 00:22:19,480 Speaker 5: That's great. That's just by Midwestern heritage speaking their modesty. 454 00:22:19,600 --> 00:22:22,280 Speaker 5: But the the the answer is we look at it all. 455 00:22:22,600 --> 00:22:25,840 Speaker 5: Graph fight, it's it's fascinating. Even graphite. There is not 456 00:22:25,880 --> 00:22:31,000 Speaker 5: only a tightening on the supply, but it's mostly in China. 457 00:22:31,480 --> 00:22:34,119 Speaker 5: So there's massive moves for the supply chains coming out 458 00:22:34,160 --> 00:22:36,600 Speaker 5: of China being localized for cost reasons as well as 459 00:22:36,600 --> 00:22:40,080 Speaker 5: geopolitical reasons. But we look at it all from from graphite, 460 00:22:40,200 --> 00:22:43,479 Speaker 5: cobalt sulfur actually is a technology that can be used 461 00:22:43,480 --> 00:22:47,280 Speaker 5: in batteries lithium, and then downstream from that to things 462 00:22:47,280 --> 00:22:49,920 Speaker 5: like new microchips that enable power control and can lower 463 00:22:50,000 --> 00:22:51,240 Speaker 5: the cost of electric vehicles. 464 00:22:51,720 --> 00:22:55,399 Speaker 4: Do we need to be concerned about the security of 465 00:22:55,440 --> 00:23:00,640 Speaker 4: the resources for all these electric vehicle components, like are 466 00:23:00,640 --> 00:23:02,720 Speaker 4: they in China that that's a risk or are there 467 00:23:02,760 --> 00:23:04,359 Speaker 4: in parts of the world where it's a risk to 468 00:23:04,400 --> 00:23:05,960 Speaker 4: the US and others? 469 00:23:06,040 --> 00:23:09,320 Speaker 5: Is that a risk? The short answer is yes, there's 470 00:23:09,320 --> 00:23:12,479 Speaker 5: a long or more nuanced ance or graphite and lithium 471 00:23:12,520 --> 00:23:15,280 Speaker 5: in particular, depending on which material you're talking about, eighty 472 00:23:15,320 --> 00:23:17,679 Speaker 5: to ninety five percent of its processed in China, but 473 00:23:17,760 --> 00:23:21,639 Speaker 5: it's not sourced in China, which means there really is 474 00:23:21,680 --> 00:23:24,880 Speaker 5: an opportunity, especially with the advent of technology that lowers 475 00:23:24,960 --> 00:23:28,600 Speaker 5: manufacturing costs, to move that supply chain out of China 476 00:23:28,680 --> 00:23:33,199 Speaker 5: because the resource itself is not in China. However, magnetic materials, 477 00:23:33,840 --> 00:23:36,760 Speaker 5: the core called rare earth elements that are used in 478 00:23:36,760 --> 00:23:40,439 Speaker 5: magnetic materials for electric motors, most of that is in China. 479 00:23:40,520 --> 00:23:43,480 Speaker 5: So there's been a ten to twenty year research effort 480 00:23:43,680 --> 00:23:46,240 Speaker 5: in the Western world to find to develop new magnets 481 00:23:46,280 --> 00:23:48,760 Speaker 5: that don't require rare earths, and those are all going 482 00:23:48,800 --> 00:23:51,000 Speaker 5: to becoming commercial in the next three to five years 483 00:23:51,000 --> 00:23:51,400 Speaker 5: as well. 484 00:23:52,000 --> 00:23:56,280 Speaker 2: I was talking to a graphie producer yesterday who doesn't 485 00:23:57,080 --> 00:24:00,480 Speaker 2: and he was talking about the tariffs or put on. 486 00:24:00,560 --> 00:24:03,119 Speaker 2: I know you mentioned EV's in particular, but then the 487 00:24:03,240 --> 00:24:07,440 Speaker 2: nuance of say the raw materials going to Canada or Mexico, 488 00:24:08,119 --> 00:24:10,360 Speaker 2: and then because we have a free trade agreement, they 489 00:24:10,440 --> 00:24:12,320 Speaker 2: just come into the US. And so there's a huge 490 00:24:12,320 --> 00:24:16,919 Speaker 2: price discrepancy versus what you're willing to pay for localized 491 00:24:17,280 --> 00:24:20,840 Speaker 2: materials versus how cheap China can get it. How do 492 00:24:20,880 --> 00:24:23,000 Speaker 2: you solve for that because that's really going to be 493 00:24:23,040 --> 00:24:25,879 Speaker 2: about lowering the costs, which is really technology, which is 494 00:24:25,880 --> 00:24:26,360 Speaker 2: really you. 495 00:24:27,119 --> 00:24:30,280 Speaker 5: It's really a good question, and I'm not being a politician. 496 00:24:30,480 --> 00:24:32,920 Speaker 5: I don't know how to handle it from a policy 497 00:24:32,960 --> 00:24:36,000 Speaker 5: perspective because there are loopholes that you can go through 498 00:24:36,040 --> 00:24:39,119 Speaker 5: in Mexico and Canada, et cetera. Ultimately, the answer is 499 00:24:39,160 --> 00:24:41,760 Speaker 5: things like graphite. There's graphite all over the world. That 500 00:24:41,920 --> 00:24:45,000 Speaker 5: the largest graphite mine in North America is in Becancoorp, 501 00:24:45,520 --> 00:24:48,960 Speaker 5: north of Montreal, and that's natural graphite. There's also something 502 00:24:49,000 --> 00:24:52,320 Speaker 5: called synthetic graphite where you can manufacture the graph height 503 00:24:52,520 --> 00:24:55,159 Speaker 5: from carbon, and there are big oil producers that are 504 00:24:55,160 --> 00:24:57,040 Speaker 5: looking at doing that as well, right to grow their 505 00:24:57,040 --> 00:24:59,480 Speaker 5: business in that direction. So in my view as a 506 00:24:59,640 --> 00:25:03,119 Speaker 5: technical and as a technology investor, it is fine the 507 00:25:03,200 --> 00:25:06,760 Speaker 5: innovations that can lower the cost for localized supply. And 508 00:25:06,800 --> 00:25:08,600 Speaker 5: I think there'll be bumps in the road between now 509 00:25:08,640 --> 00:25:10,639 Speaker 5: an adoption of that technology in terms of what's happening 510 00:25:10,760 --> 00:25:14,159 Speaker 5: worldwide geopolitics, but I think ultimately it's localized supply that 511 00:25:14,200 --> 00:25:15,280 Speaker 5: will win the game. 512 00:25:16,400 --> 00:25:20,720 Speaker 4: Where does mister Tesla get his batteries, Where's Elon Musk 513 00:25:20,720 --> 00:25:21,719 Speaker 4: get his batteries for his car. 514 00:25:22,880 --> 00:25:24,880 Speaker 5: You know, I used to joke on Capitol Hill when 515 00:25:24,880 --> 00:25:27,119 Speaker 5: I worked for the government that if you peel the 516 00:25:27,200 --> 00:25:30,880 Speaker 5: t off the factory, the gigafactory in Nevada, you see 517 00:25:30,880 --> 00:25:33,720 Speaker 5: a big Panasonic logo underneath it. Originally it was a 518 00:25:33,720 --> 00:25:37,560 Speaker 5: Panasonic deal that they cut and embedded themselves together in 519 00:25:37,600 --> 00:25:41,280 Speaker 5: supply chain. They since have expanded to LG and CTL 520 00:25:41,520 --> 00:25:45,000 Speaker 5: and others. So CTL is the big dominant battery supplier 521 00:25:45,040 --> 00:25:49,399 Speaker 5: in the electric vehicle supply chain that's in China. But they, 522 00:25:49,560 --> 00:25:52,240 Speaker 5: you know, they've onshore manufacturing, and as American citizen, I 523 00:25:52,240 --> 00:25:57,200 Speaker 5: don't think it's about even before IRA became an active Panasonic, LG, Samsung, 524 00:25:57,240 --> 00:25:59,600 Speaker 5: they'd all announced twenty gig one hours of manufacturing in 525 00:25:59,600 --> 00:25:59,920 Speaker 5: the US. 526 00:26:00,200 --> 00:26:01,960 Speaker 4: All right, Jeff, thanks so much for joining us. Doctor 527 00:26:02,000 --> 00:26:05,920 Speaker 4: Jeff Chairperlin, CEO Volta Energy Technologies, Joining s here on 528 00:26:05,920 --> 00:26:07,080 Speaker 4: a Bloomberg and Director Burgos. 529 00:26:08,240 --> 00:26:12,119 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 530 00:26:12,200 --> 00:26:15,720 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 531 00:26:15,760 --> 00:26:18,520 Speaker 1: Auto with the Bloomberg Business app. You can also listen 532 00:26:18,640 --> 00:26:21,760 Speaker 1: live on Amazon Alexa from our flagship New York station. 533 00:26:22,119 --> 00:26:24,879 Speaker 1: Just say, Alexa, play Bloomberg eleven thirty. 534 00:26:26,400 --> 00:26:29,639 Speaker 2: I'm Alex seel longtied Paul Sweeney. This is Bloomberg Intelligence Radio. 535 00:26:29,680 --> 00:26:31,560 Speaker 2: We make sure you're up to date on all the 536 00:26:31,600 --> 00:26:34,120 Speaker 2: news that you need to know in business and finance. 537 00:26:34,119 --> 00:26:36,480 Speaker 2: We have great analysts that cover at two thousand companies 538 00:26:36,520 --> 00:26:39,119 Speaker 2: and one hundred and thirty industries worldwide. We also have 539 00:26:39,160 --> 00:26:42,280 Speaker 2: a huge staple of reporters all around the world, and 540 00:26:42,280 --> 00:26:44,000 Speaker 2: we're going to one of them now on this story. 541 00:26:44,080 --> 00:26:50,119 Speaker 2: So apparently ASML and Taiwan Semiconductor Manufacturing so TSMC have 542 00:26:50,320 --> 00:26:55,280 Speaker 2: ways to disable the world's most sophisticated chip making machines 543 00:26:55,359 --> 00:26:59,119 Speaker 2: in the event that China invades Taiwan. It's basically the 544 00:26:59,160 --> 00:27:01,120 Speaker 2: idea of here's a ca'll switch your press the button 545 00:27:01,119 --> 00:27:03,360 Speaker 2: and all of a sudden those machines stop working. Really, 546 00:27:03,440 --> 00:27:05,879 Speaker 2: it's something right, Isn't that sounding tucky, doesn't it? 547 00:27:05,880 --> 00:27:06,040 Speaker 8: Though? 548 00:27:06,119 --> 00:27:09,600 Speaker 2: Let's get to the guy behind the story. Deerdrik Basil 549 00:27:09,680 --> 00:27:12,720 Speaker 2: joins us Bloomberg Dutch government reporter. He joins us on 550 00:27:12,840 --> 00:27:14,879 Speaker 2: Zoom from Amsterdam. It's a real pleasure and I know 551 00:27:14,920 --> 00:27:17,040 Speaker 2: you're staying up late for us, so thank you very much. 552 00:27:17,080 --> 00:27:18,960 Speaker 2: As well, are working late for us? I should say, 553 00:27:19,520 --> 00:27:21,679 Speaker 2: walk us through this story? What do we know? 554 00:27:23,440 --> 00:27:26,760 Speaker 9: Hiah? Thanks for having me. Yeah, what we reported exactly 555 00:27:26,960 --> 00:27:31,000 Speaker 9: is that ASAML has a so called kill switch and 556 00:27:31,040 --> 00:27:35,280 Speaker 9: it can use it on his most sophisticated machine, does 557 00:27:35,320 --> 00:27:39,239 Speaker 9: the EUV machine or the extreme ultra hided machine. And 558 00:27:39,280 --> 00:27:43,360 Speaker 9: this basically means they can kill the machine remotely when 559 00:27:43,359 --> 00:27:47,760 Speaker 9: they choose to. And this capability was indeed discussed in 560 00:27:47,800 --> 00:27:51,880 Speaker 9: the context of a possible Taiwan invasion and was discussed 561 00:27:51,920 --> 00:27:56,000 Speaker 9: at least with the Dutch government. So yeah, it's an 562 00:27:56,040 --> 00:28:00,000 Speaker 9: important capability in a very sensitive geopolitical company. 563 00:28:01,119 --> 00:28:06,320 Speaker 4: So I guess it's it sounds good. I mean from 564 00:28:06,400 --> 00:28:09,360 Speaker 4: your reporting, is there a belief that this really can 565 00:28:09,440 --> 00:28:12,640 Speaker 4: be achieved, because it sounds like something that could be 566 00:28:13,720 --> 00:28:16,760 Speaker 4: I don't know, hijacked or something. It just it seems 567 00:28:16,800 --> 00:28:17,879 Speaker 4: like it's too good to be true. 568 00:28:20,400 --> 00:28:20,600 Speaker 8: Yeah. 569 00:28:20,760 --> 00:28:25,320 Speaker 9: The sort of thing is ACML has contact with when 570 00:28:25,359 --> 00:28:30,480 Speaker 9: the machines to do updates the machine need anyways, uh, 571 00:28:30,520 --> 00:28:33,639 Speaker 9: And this connection they have can also be used for 572 00:28:33,720 --> 00:28:36,800 Speaker 9: this capability. So it's not a building kill switch, but 573 00:28:36,840 --> 00:28:40,360 Speaker 9: it's a capability that can be used for different purposes. 574 00:28:40,840 --> 00:28:42,880 Speaker 9: And yet what we have heard is that a ISMAEL 575 00:28:43,000 --> 00:28:47,720 Speaker 9: has told government officials that they can do this if 576 00:28:47,840 --> 00:28:49,280 Speaker 9: that is what they decide to do. 577 00:28:49,440 --> 00:28:52,880 Speaker 2: So so I'm assuming though that officials say in China 578 00:28:53,000 --> 00:28:56,480 Speaker 2: might not like that, Like is that a legal thing 579 00:28:56,600 --> 00:28:56,880 Speaker 2: to do? 580 00:28:59,240 --> 00:29:03,160 Speaker 9: Yeah, Like an invasion is also not really legal, I guess, 581 00:29:03,200 --> 00:29:06,840 Speaker 9: so if you end up in such a context, you 582 00:29:06,880 --> 00:29:11,760 Speaker 9: need to ask different questions. But yeah, that's that's the 583 00:29:11,800 --> 00:29:15,600 Speaker 9: context we're talking about. If an invasion would happen, then 584 00:29:15,720 --> 00:29:17,000 Speaker 9: this is a possibility. 585 00:29:18,240 --> 00:29:23,000 Speaker 4: So but I guess today China is still a SML's 586 00:29:23,400 --> 00:29:26,120 Speaker 4: biggest market, isn't you know, even after some restrictions. 587 00:29:27,640 --> 00:29:31,320 Speaker 9: Yeah, close too. Yeah, like TMC is the biggest client, 588 00:29:31,400 --> 00:29:34,640 Speaker 9: but China as a as a country is definitely a 589 00:29:34,720 --> 00:29:37,760 Speaker 9: big market for as well. Yeah, so what are not 590 00:29:37,880 --> 00:29:40,320 Speaker 9: for this? Not for this machine though, not for the 591 00:29:40,360 --> 00:29:44,560 Speaker 9: eu V most sophisticated extreme ulti virus machine. That machine 592 00:29:44,600 --> 00:29:46,360 Speaker 9: isn't allowed to be exported to China. 593 00:29:46,760 --> 00:29:50,840 Speaker 2: Ah okay, So the machines that a SML does export 594 00:29:50,880 --> 00:29:53,480 Speaker 2: to China, does that have this quote unquote kill switch? 595 00:29:55,120 --> 00:29:57,120 Speaker 9: So this know, we were talking about the eu V. 596 00:29:57,400 --> 00:30:00,640 Speaker 9: So that's the most sophisticated machine, and you have plenty 597 00:30:00,680 --> 00:30:06,160 Speaker 9: of them in Taiwan, and that's why it's essential that 598 00:30:06,320 --> 00:30:10,400 Speaker 9: two let This capability exists in the context of the 599 00:30:10,440 --> 00:30:15,800 Speaker 9: Taiwan invasion, but has been subject to export control for 600 00:30:15,880 --> 00:30:19,280 Speaker 9: a while. They have been pushed by the US and 601 00:30:19,320 --> 00:30:22,760 Speaker 9: they have been mostly focused on this EUV machine. The 602 00:30:22,760 --> 00:30:26,920 Speaker 9: most sophisticated is no chip machines that he needs. Those 603 00:30:26,960 --> 00:30:30,320 Speaker 9: machines to the most phisticated chips you need for any 604 00:30:30,480 --> 00:30:35,040 Speaker 9: ai development or any military purpose, and those machines aren't 605 00:30:35,080 --> 00:30:36,040 Speaker 9: in China at the moment. 606 00:30:37,000 --> 00:30:39,840 Speaker 4: These machines aren't cheap, are they. What's one of these 607 00:30:39,840 --> 00:30:40,920 Speaker 4: big chip making machines. 608 00:30:40,960 --> 00:30:41,600 Speaker 5: What do they go for? 609 00:30:42,800 --> 00:30:45,120 Speaker 9: You said this, This eu V is I think it's 610 00:30:45,160 --> 00:30:48,600 Speaker 9: about like two hundred million apiece something like that. 611 00:30:49,000 --> 00:30:53,600 Speaker 2: Yeah, And SML does something very unique, not very unique. 612 00:30:53,600 --> 00:30:56,200 Speaker 2: They do something unique in the semi space right there. 613 00:30:56,400 --> 00:30:59,080 Speaker 2: You can also license. It's a lithography, right, it's like 614 00:30:59,120 --> 00:31:00,880 Speaker 2: the machine you need to make the chips. Can you 615 00:31:00,920 --> 00:31:04,000 Speaker 2: walk me through what exactly that company does and then 616 00:31:04,040 --> 00:31:06,000 Speaker 2: why it becomes so important to the sector. 617 00:31:07,760 --> 00:31:12,240 Speaker 9: Yeah, So basically, ASML is the only company able to 618 00:31:12,320 --> 00:31:16,440 Speaker 9: make this machine, and like all the generation chip machines, 619 00:31:16,720 --> 00:31:18,600 Speaker 9: you have more company that they are able to make 620 00:31:18,640 --> 00:31:22,640 Speaker 9: those but to make the best chips with the lowest 621 00:31:22,880 --> 00:31:28,840 Speaker 9: nanometers you need for what I mentioned ai those machines 622 00:31:28,880 --> 00:31:30,880 Speaker 9: she needs for those chips. ASML at the moment is 623 00:31:30,920 --> 00:31:34,400 Speaker 9: the only company that can make them, so yeah, that 624 00:31:34,560 --> 00:31:39,240 Speaker 9: gives them an important, massive market position, and yeah, you 625 00:31:39,440 --> 00:31:42,560 Speaker 9: also end up in a geopolitical struggle as we see 626 00:31:42,600 --> 00:31:43,000 Speaker 9: right now. 627 00:31:43,200 --> 00:31:45,000 Speaker 4: Yep, absolutely all right, Dieterrek, thank you so much for 628 00:31:45,080 --> 00:31:49,320 Speaker 4: joining us. Die Derek Bazil, Dutch government reporter for Bloomberg News, 629 00:31:49,400 --> 00:31:54,360 Speaker 4: joining us from Amsterdam via zoom. Again, ASML TSMC big 630 00:31:54,440 --> 00:31:59,360 Speaker 4: chip makers, apparently they can disable chip machines if China 631 00:31:59,480 --> 00:32:02,440 Speaker 4: invades Taiwan. You think about that cybersecurity, and it just 632 00:32:02,520 --> 00:32:04,720 Speaker 4: kind of goes to the issue of this what seems 633 00:32:04,760 --> 00:32:09,120 Speaker 4: to be a growing technology cold war between you know, 634 00:32:09,200 --> 00:32:12,080 Speaker 4: it's called it China and the West broadly defined it. 635 00:32:12,200 --> 00:32:16,040 Speaker 4: I'm not sure how you do that, but again, governments 636 00:32:16,080 --> 00:32:19,280 Speaker 4: are making plans. Companies here we see from this reporting 637 00:32:19,600 --> 00:32:20,440 Speaker 4: are making plans. 638 00:32:20,480 --> 00:32:24,760 Speaker 2: But this also devetails with Vault Energy that we spoke 639 00:32:24,840 --> 00:32:28,440 Speaker 2: to in the last hour, So that company makes investments 640 00:32:28,840 --> 00:32:32,800 Speaker 2: in technology that can help reshore the supply chains for 641 00:32:32,880 --> 00:32:35,760 Speaker 2: batteries and storage. Right, So think like lithium, how to 642 00:32:35,840 --> 00:32:39,440 Speaker 2: extract lithium more cheaply and more cost efficiently. It's all 643 00:32:39,480 --> 00:32:43,120 Speaker 2: part of the same story. How do you decouple after 644 00:32:43,240 --> 00:32:46,920 Speaker 2: a few decades of coupling when you're a company, whether 645 00:32:46,960 --> 00:32:50,440 Speaker 2: it's tech, whether it's rare rare earths, whether it's another 646 00:32:50,480 --> 00:32:56,320 Speaker 2: asset as a CEO, how do you capital allocate from that? 647 00:32:56,480 --> 00:32:56,680 Speaker 8: Right? 648 00:32:56,720 --> 00:32:59,640 Speaker 2: Like some companies like a Caterpillar, they make their stuff, 649 00:32:59,760 --> 00:33:02,840 Speaker 2: they train technologies. For example, it's an age back company. 650 00:33:02,960 --> 00:33:05,160 Speaker 2: They make stuff in China and sell to China. Right, 651 00:33:05,160 --> 00:33:07,440 Speaker 2: So their China sales might be fine, and then maybe 652 00:33:07,480 --> 00:33:10,280 Speaker 2: you're you're insulated, but otherwise I would think it'd be 653 00:33:10,400 --> 00:33:11,400 Speaker 2: very very difficult. 654 00:33:11,840 --> 00:33:13,960 Speaker 4: Yeah, And you know, and one of the companies that 655 00:33:14,000 --> 00:33:16,800 Speaker 4: I think when I think of just China risk broadly defined, 656 00:33:16,960 --> 00:33:19,040 Speaker 4: I think of Apple. I mean, you know, twenty percent 657 00:33:19,080 --> 00:33:22,680 Speaker 4: of their sales go there. It's obviously a huge growth market. 658 00:33:22,840 --> 00:33:25,880 Speaker 4: It's also critical to the supply chain, as we just 659 00:33:25,920 --> 00:33:28,360 Speaker 4: kind of learned a little bit here from DEETS reporting 660 00:33:28,360 --> 00:33:31,560 Speaker 4: in terms of where the chips come from and where 661 00:33:31,600 --> 00:33:36,400 Speaker 4: their hardware is manufactured in China. If you're Tim Cook, boy, 662 00:33:36,440 --> 00:33:37,840 Speaker 4: I don't know how you manage that. I guess you 663 00:33:37,920 --> 00:33:38,360 Speaker 4: just kind of. 664 00:33:38,360 --> 00:33:39,160 Speaker 9: Go to India. 665 00:33:39,280 --> 00:33:41,280 Speaker 4: You go to India, but that's going to take a 666 00:33:41,600 --> 00:33:44,920 Speaker 4: long time as we're told to build that whole infrastructure out. 667 00:33:44,920 --> 00:33:46,840 Speaker 4: But I guess if you're Tim Cook, you go to 668 00:33:46,920 --> 00:33:49,200 Speaker 4: China as often as you can and try to, you know, 669 00:33:50,000 --> 00:33:52,680 Speaker 4: just try to keep a good I guess dialogue going 670 00:33:52,720 --> 00:33:55,720 Speaker 4: with the government officials or to keep the status quo going. 671 00:33:56,000 --> 00:33:58,640 Speaker 2: Yeah, and we were talking about that when we had 672 00:33:58,640 --> 00:34:01,360 Speaker 2: a great story about maybe Tim cook succession plan and 673 00:34:01,400 --> 00:34:03,720 Speaker 2: sort of you know, do you need a full time 674 00:34:03,840 --> 00:34:08,040 Speaker 2: China ambassador? Basically as a as a company, you need 675 00:34:08,080 --> 00:34:11,239 Speaker 2: to have someone who can really help secure that relationship. 676 00:34:11,239 --> 00:34:13,080 Speaker 2: In addition to all the other stuff like capital allocat 677 00:34:13,120 --> 00:34:16,160 Speaker 2: you frend of an ends like invate his job. 678 00:34:16,360 --> 00:34:18,560 Speaker 4: Elon Musk's job has also got a lot of exposure 679 00:34:18,600 --> 00:34:21,319 Speaker 4: to their you know, CEOs. Jamie Dimond has been over 680 00:34:21,320 --> 00:34:23,840 Speaker 4: there recently for Japo Warton Chase, So a lot of 681 00:34:23,880 --> 00:34:26,680 Speaker 4: CEOs you know, going over to China trying to I guess, 682 00:34:27,000 --> 00:34:29,880 Speaker 4: maintain decent relationships in the face of governments. 683 00:34:32,560 --> 00:34:36,440 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 684 00:34:36,520 --> 00:34:40,080 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 685 00:34:40,080 --> 00:34:42,840 Speaker 1: Auto with the Bloomberg Business app. You can also listen 686 00:34:42,960 --> 00:34:46,040 Speaker 1: live on Amazon Alexa from our flagship New York station. 687 00:34:46,440 --> 00:34:49,200 Speaker 1: Just say Alexa play Bloomberg eleven thirty. 688 00:34:50,560 --> 00:34:52,000 Speaker 2: Let's go to the bond market. Here we are seeing 689 00:34:52,000 --> 00:34:54,120 Speaker 2: a little bit bit into the bond market. Ira Jersey, 690 00:34:54,120 --> 00:34:58,160 Speaker 2: Bloomberg Intelligence Chief US interest rate strategist, is joining us. 691 00:34:58,800 --> 00:35:02,080 Speaker 2: IRA the mark it supposedly the narrative is that it's 692 00:35:02,080 --> 00:35:06,320 Speaker 2: waiting for Nvidia. What does the bond market do with Nvidia. 693 00:35:06,800 --> 00:35:08,200 Speaker 10: I don't know if the bond market's going to do 694 00:35:08,200 --> 00:35:10,200 Speaker 10: a whole heck of a lot with you know, story 695 00:35:10,239 --> 00:35:13,759 Speaker 10: stocks in particular, But the bond market is, you know, 696 00:35:13,800 --> 00:35:15,840 Speaker 10: still waiting for the Fed. We have a ton of 697 00:35:15,840 --> 00:35:18,400 Speaker 10: Fed speak this week. We have the minutes coming out tomorrow, 698 00:35:18,520 --> 00:35:20,480 Speaker 10: So the bond market's going to kind of be on 699 00:35:20,600 --> 00:35:23,080 Speaker 10: edge as to you know, when the Fed's gonna cut, 700 00:35:23,360 --> 00:35:26,480 Speaker 10: how do they see the balance sheet shaping up? And 701 00:35:26,680 --> 00:35:28,120 Speaker 10: you know, you've had a lot of speakers like I 702 00:35:28,480 --> 00:35:31,719 Speaker 10: literally just before walking on, we finished up with with 703 00:35:31,800 --> 00:35:36,640 Speaker 10: Governor Chris Waller, who you know, gave not anything significantly 704 00:35:36,640 --> 00:35:39,560 Speaker 10: different than what Jay Powell has been saying, but certainly 705 00:35:39,920 --> 00:35:43,400 Speaker 10: certainly some details that you know, I have people talking 706 00:35:43,400 --> 00:35:46,399 Speaker 10: about the future of monetary policy and things like what 707 00:35:46,520 --> 00:35:49,200 Speaker 10: is our star, what is the neutral FED fund rate? 708 00:35:49,239 --> 00:35:52,080 Speaker 10: And where should it be given given the current environment? 709 00:35:52,320 --> 00:35:54,319 Speaker 4: All Right, For all of the listeners and viewers out 710 00:35:54,320 --> 00:35:56,359 Speaker 4: there who maybe don't have a Bloomberg terminal in front 711 00:35:56,360 --> 00:35:59,560 Speaker 4: of them, one of the most widely used functions is 712 00:35:59,640 --> 00:36:02,880 Speaker 4: ea ECO go. It gives you a nice list of 713 00:36:02,920 --> 00:36:06,520 Speaker 4: all the economic data that's released by the government so 714 00:36:06,560 --> 00:36:08,759 Speaker 4: you can stay on top of it all. And of 715 00:36:08,800 --> 00:36:13,239 Speaker 4: course on there is for tomorrow FOMC meeting minutes. My 716 00:36:13,360 --> 00:36:19,040 Speaker 4: question iras who cares because we hear these FED people 717 00:36:19,080 --> 00:36:21,920 Speaker 4: speaking all day every day except for like a fifteen 718 00:36:21,920 --> 00:36:26,120 Speaker 4: minute blackout every quarter. Did the minutes really tell something 719 00:36:26,239 --> 00:36:28,560 Speaker 4: since these folks are always speaking anyway. 720 00:36:29,640 --> 00:36:32,480 Speaker 10: It does, and it tells you a couple of different things. 721 00:36:32,520 --> 00:36:36,640 Speaker 10: I mean, firstly, it tells you the entire committee, right, 722 00:36:36,640 --> 00:36:39,680 Speaker 10: because there are certain people who speak more frequently in 723 00:36:39,719 --> 00:36:42,719 Speaker 10: front of the media. For example, Raphaelbostik of Atlanta FED. 724 00:36:43,320 --> 00:36:46,000 Speaker 10: He's on TV all the time, right, he was on 725 00:36:46,360 --> 00:36:50,560 Speaker 10: Bloomberg Television not so long ago like yesterday. We also 726 00:36:50,640 --> 00:36:53,720 Speaker 10: have we also have you know, Chris Waller speaks a lot, 727 00:36:53,960 --> 00:36:57,040 Speaker 10: so it but it gives you all nineteen members view 728 00:36:57,200 --> 00:36:59,839 Speaker 10: and then you know who believes what in a more 729 00:37:00,160 --> 00:37:03,359 Speaker 10: SYNCD fashion, then you can maybe glean from a lot 730 00:37:03,400 --> 00:37:05,520 Speaker 10: of the Q and as that wind up generating a 731 00:37:05,520 --> 00:37:07,719 Speaker 10: lot of headlines. But it's hard to kind of get 732 00:37:07,719 --> 00:37:10,800 Speaker 10: a complete narrative of where what everyone is thinking. So 733 00:37:11,160 --> 00:37:13,880 Speaker 10: I think that the minutes are useful. They're also useful 734 00:37:13,960 --> 00:37:16,680 Speaker 10: from analytical perspective. What we use the minutes for in 735 00:37:16,760 --> 00:37:19,640 Speaker 10: determining where we think the future path of policy is 736 00:37:20,000 --> 00:37:24,520 Speaker 10: going to be is we compare what's being said to 737 00:37:24,680 --> 00:37:27,840 Speaker 10: other periods, and so we actually have a model and 738 00:37:27,960 --> 00:37:31,640 Speaker 10: natural language processing model that says the FED is hawkish 739 00:37:31,640 --> 00:37:33,400 Speaker 10: and dubbish. And the nice thing about the minutes it 740 00:37:33,440 --> 00:37:37,239 Speaker 10: says a few members, most members, some members, and we're 741 00:37:37,280 --> 00:37:39,719 Speaker 10: able to get an idea about how many members have 742 00:37:39,840 --> 00:37:42,160 Speaker 10: that view, which is not something you can get from 743 00:37:42,160 --> 00:37:44,680 Speaker 10: the post meeting press conference, which is not something you 744 00:37:44,719 --> 00:37:47,520 Speaker 10: can necessarily get from just listening to you know, three 745 00:37:47,640 --> 00:37:50,520 Speaker 10: or four or five speakers instead of all nineteen That's 746 00:37:50,719 --> 00:37:52,280 Speaker 10: where I wanted to kind be pretty helpful. 747 00:37:52,400 --> 00:37:55,240 Speaker 4: I saw on your research, which I do read despite 748 00:37:56,480 --> 00:38:00,719 Speaker 4: you know all what, Yeah, I read it grudgingly because 749 00:38:00,719 --> 00:38:05,279 Speaker 4: it's great stuff. In their natural language processing model you 750 00:38:05,440 --> 00:38:08,839 Speaker 4: use for the minutes, what is that all about? 751 00:38:09,960 --> 00:38:13,279 Speaker 10: Yeah, So our model basically takes every sentence that it 752 00:38:13,360 --> 00:38:16,000 Speaker 10: has to do with monetary policy and the economy within 753 00:38:16,600 --> 00:38:18,799 Speaker 10: the minutes. We also do the same thing for the 754 00:38:18,840 --> 00:38:21,759 Speaker 10: post meeting press conference, for the prepared remarks that Jay 755 00:38:21,800 --> 00:38:24,200 Speaker 10: Powell makes, and tries to determine whether or not it's 756 00:38:24,239 --> 00:38:26,880 Speaker 10: a little bit hawkish, a little bit dubvish, neutral, or 757 00:38:26,960 --> 00:38:29,799 Speaker 10: very hawkish or very dubbsh. And in doing that we 758 00:38:29,880 --> 00:38:31,960 Speaker 10: can then wait it right. That's the advantage of the 759 00:38:31,960 --> 00:38:34,840 Speaker 10: minutes over some of the other over some of the 760 00:38:34,880 --> 00:38:38,080 Speaker 10: other models that you can potentially use that are similar. 761 00:38:38,800 --> 00:38:42,200 Speaker 10: Where the minutes I have other indicators. For example, it 762 00:38:42,200 --> 00:38:45,440 Speaker 10: says a member thinks, which means one person, right, Whereas 763 00:38:45,440 --> 00:38:48,279 Speaker 10: if it says many members think, then that's less than half, 764 00:38:48,360 --> 00:38:49,480 Speaker 10: but more. 765 00:38:49,920 --> 00:38:51,600 Speaker 5: Than a couple, right, more than three or four. 766 00:38:51,960 --> 00:38:55,120 Speaker 10: So you wind up with probably a better overall gauge 767 00:38:55,440 --> 00:38:58,359 Speaker 10: of how hawkish or dubvish the FED is, and what 768 00:38:58,400 --> 00:39:02,080 Speaker 10: our model shows right now as of the last meeting minutes, 769 00:39:02,120 --> 00:39:06,640 Speaker 10: which will probably remain the same this week this week presumably, 770 00:39:07,080 --> 00:39:09,880 Speaker 10: is that they're very neutral. They're basically right in line 771 00:39:09,960 --> 00:39:13,000 Speaker 10: with what would be an on hold FED. And that's 772 00:39:13,080 --> 00:39:15,719 Speaker 10: very consistent with what we're seeing now. I suspect that 773 00:39:16,560 --> 00:39:21,160 Speaker 10: unless the economic data deteriorates or improves very significantly, like 774 00:39:21,200 --> 00:39:24,200 Speaker 10: you see in optic and inflation, that the FED will 775 00:39:24,200 --> 00:39:28,000 Speaker 10: probably remain in that neutral territory with a little nuance there, 776 00:39:28,560 --> 00:39:30,080 Speaker 10: which just means that they're going to be on hold. 777 00:39:30,080 --> 00:39:32,920 Speaker 10: And you know, Chris Waller said today that he thinks 778 00:39:32,960 --> 00:39:34,399 Speaker 10: that rates are going to be on hold at least 779 00:39:34,440 --> 00:39:35,279 Speaker 10: until the fourth quarter. 780 00:39:35,320 --> 00:39:36,480 Speaker 5: Bostic said the same thing. 781 00:39:37,239 --> 00:39:40,799 Speaker 10: So those are those are indicators that the minutes have, 782 00:39:40,960 --> 00:39:43,680 Speaker 10: you know, at least are in line with the other 783 00:39:43,800 --> 00:39:47,040 Speaker 10: speakers that you hear in them, you know in the. 784 00:39:46,920 --> 00:39:50,520 Speaker 2: Media, Bostic talking up neutral. As for what is neutral, 785 00:39:50,560 --> 00:39:52,480 Speaker 2: I feel like J. Powell in the last press conference 786 00:39:52,640 --> 00:39:56,680 Speaker 2: really didn't take that bait. How do you view what 787 00:39:56,719 --> 00:39:59,040 Speaker 2: the neutral rate is and how important is that to 788 00:39:59,080 --> 00:40:00,160 Speaker 2: the conversation right now? 789 00:40:01,520 --> 00:40:04,560 Speaker 10: Well, so, ex ante, it's very difficult to determine what 790 00:40:04,600 --> 00:40:06,920 Speaker 10: the neutral rate is, right, because you don't know what 791 00:40:06,960 --> 00:40:11,160 Speaker 10: the propensity for people to take loans are and how 792 00:40:11,200 --> 00:40:14,640 Speaker 10: high or how low interest rates need to be versus 793 00:40:14,640 --> 00:40:18,720 Speaker 10: inflation or some other measure for you know, where interest 794 00:40:18,800 --> 00:40:21,520 Speaker 10: rates are going to you know, not increase inflation or 795 00:40:21,520 --> 00:40:24,640 Speaker 10: decrease inflation, and there's really realistically no way to know that, 796 00:40:24,680 --> 00:40:27,719 Speaker 10: which is the reason why you get these cycles. The 797 00:40:28,080 --> 00:40:30,239 Speaker 10: idea though, and I think this is what everyone in 798 00:40:30,239 --> 00:40:33,359 Speaker 10: the academic land and you know, rate strategists all over 799 00:40:33,360 --> 00:40:36,480 Speaker 10: the world we're talking about, is, given how low we 800 00:40:36,520 --> 00:40:40,040 Speaker 10: think the neutral rate was between twenty ten and twenty nineteen, 801 00:40:40,520 --> 00:40:43,239 Speaker 10: has that moved up? And the answer is unequivalentally, yes, 802 00:40:43,320 --> 00:40:44,160 Speaker 10: it just it had to. 803 00:40:44,280 --> 00:40:44,400 Speaker 8: Right. 804 00:40:44,440 --> 00:40:46,600 Speaker 10: We're in a much more we're in a tighter labor 805 00:40:46,600 --> 00:40:50,600 Speaker 10: market environment. We don't have the same type of globalization 806 00:40:51,000 --> 00:40:54,719 Speaker 10: pushing pushing down goods costs that we had ten years ago. 807 00:40:55,000 --> 00:40:57,399 Speaker 10: So all of those things are probably true. The problem 808 00:40:57,480 --> 00:41:00,000 Speaker 10: is nobody really can guestimate the magnitude. 809 00:41:00,320 --> 00:41:01,799 Speaker 5: There's a lot of models to do that. 810 00:41:01,920 --> 00:41:03,600 Speaker 10: You know, is it two and a half percent, which 811 00:41:03,680 --> 00:41:05,680 Speaker 10: is kind of what the FED seems to think that 812 00:41:05,760 --> 00:41:08,239 Speaker 10: it is based on the dop plot. Some people think 813 00:41:08,239 --> 00:41:09,960 Speaker 10: it's a bit higher than that. I actually think it 814 00:41:10,000 --> 00:41:12,400 Speaker 10: probably is a little bit higher than that. But the 815 00:41:13,440 --> 00:41:17,160 Speaker 10: you know, but there's no realistic way to know beforehand 816 00:41:17,239 --> 00:41:19,600 Speaker 10: exactly where our star is. But you have to you 817 00:41:19,680 --> 00:41:21,680 Speaker 10: have to guess if you're if you're a member of 818 00:41:21,680 --> 00:41:25,319 Speaker 10: the FED or any central bank, because otherwise you don't know, 819 00:41:25,440 --> 00:41:28,520 Speaker 10: you know, are we restrictive or are we not. I'd 820 00:41:28,600 --> 00:41:31,400 Speaker 10: argue that the FED probably is modestly restrictive, maybe not 821 00:41:31,520 --> 00:41:35,240 Speaker 10: restrictive enough, but they are certainly, you know, more restrictive 822 00:41:35,239 --> 00:41:36,880 Speaker 10: than they were when interest rates were at zero. 823 00:41:37,360 --> 00:41:39,680 Speaker 4: Hey, I'm just looking at the ten year treasury just 824 00:41:39,680 --> 00:41:41,320 Speaker 4: in the last i don't know, three to four weeks, 825 00:41:41,360 --> 00:41:43,480 Speaker 4: it's kind of come down and yield from four to 826 00:41:43,480 --> 00:41:46,680 Speaker 4: seventy range down to about four forty. Does that tell 827 00:41:46,760 --> 00:41:49,399 Speaker 4: us anything or is that just kind of trading within 828 00:41:49,400 --> 00:41:50,840 Speaker 4: a range? 829 00:41:51,200 --> 00:41:52,760 Speaker 5: Yeah, I think we've hit that range. 830 00:41:52,760 --> 00:41:55,200 Speaker 10: We talked I think it was last week, Paul, where 831 00:41:55,040 --> 00:41:58,600 Speaker 10: we were mentioning on that that kind of four thirty 832 00:41:58,680 --> 00:42:01,920 Speaker 10: to four fifth might be the new range for now 833 00:42:02,000 --> 00:42:05,960 Speaker 10: until we get a significant regime shift. It's not telling 834 00:42:06,000 --> 00:42:09,400 Speaker 10: us much of anything except that again, the market is 835 00:42:09,440 --> 00:42:12,799 Speaker 10: still pricing for the Federal Reserve at some point in 836 00:42:12,880 --> 00:42:15,879 Speaker 10: the not too distant future will be lowering interest rates. 837 00:42:15,920 --> 00:42:19,279 Speaker 10: And that's why you have the continued inversion of the 838 00:42:19,360 --> 00:42:21,920 Speaker 10: yield curve where the ten year yield is lower than 839 00:42:21,960 --> 00:42:25,239 Speaker 10: the two year yield. But even that has contracted quite 840 00:42:25,280 --> 00:42:27,080 Speaker 10: a lot. Right that was as much as one hundred 841 00:42:27,120 --> 00:42:31,120 Speaker 10: basis points between the two and now it's less than fifty. 842 00:42:31,160 --> 00:42:35,239 Speaker 10: It's forty ish basis points right now. So that's just 843 00:42:35,280 --> 00:42:37,520 Speaker 10: saying that at some point the Fed's going to cut. 844 00:42:37,560 --> 00:42:39,759 Speaker 10: When the Fed cuts, ten year yields are probably going 845 00:42:39,800 --> 00:42:41,480 Speaker 10: to rally a little bit. But we're already priced for 846 00:42:41,480 --> 00:42:43,320 Speaker 10: at least part of that cutting cycle. 847 00:42:44,200 --> 00:42:46,520 Speaker 2: All right, IIRA, thanks a lot. We really appreciate you. 848 00:42:46,680 --> 00:42:49,799 Speaker 2: Thank you very much. Our Jersey Bloomberg Intelligence Chief US 849 00:42:49,880 --> 00:42:51,799 Speaker 2: interest rate strategist adjoining us there. 850 00:42:51,840 --> 00:42:54,520 Speaker 4: And the way to get all that research, Alex is 851 00:42:54,600 --> 00:42:58,200 Speaker 4: BI space r ate. B I rate will get you 852 00:42:58,239 --> 00:43:00,799 Speaker 4: to all the interest rate analysis for our Jersey and 853 00:43:00,800 --> 00:43:02,280 Speaker 4: his team on a global basis. 854 00:43:02,520 --> 00:43:03,080 Speaker 6: You pull up. 855 00:43:03,120 --> 00:43:06,880 Speaker 4: There's stuff about Canada, there's stuff about Asia, China and 856 00:43:07,040 --> 00:43:09,360 Speaker 4: all different languages on this dashboard, but it is the 857 00:43:09,480 --> 00:43:12,200 Speaker 4: global view of interest rates. 858 00:43:11,960 --> 00:43:13,560 Speaker 2: And you can't beat them. You just really can't, Like, 859 00:43:13,640 --> 00:43:15,239 Speaker 2: I mean, you can't be the model that goes through 860 00:43:15,280 --> 00:43:17,200 Speaker 2: and looks at speeches like you just can't beat. 861 00:43:17,000 --> 00:43:19,799 Speaker 4: That a large like a language model. 862 00:43:19,840 --> 00:43:24,800 Speaker 7: I don't know. There's also a MOSAD, the Israeli Intelligence Agency, 863 00:43:24,920 --> 00:43:29,960 Speaker 7: uses a very similar type of software to look at 864 00:43:30,000 --> 00:43:33,520 Speaker 7: conversations that they intercept. We use the same thing for 865 00:43:33,719 --> 00:43:35,120 Speaker 7: conference calls and. 866 00:43:36,520 --> 00:43:38,800 Speaker 5: Well yeah, no sentiment, yeah. 867 00:43:38,760 --> 00:43:41,040 Speaker 7: Just to look for keywords and whatever so you don't 868 00:43:41,040 --> 00:43:42,359 Speaker 7: have to sit there and listen a long thing. 869 00:43:43,120 --> 00:43:44,680 Speaker 2: Well, I listen to conference calls all day. 870 00:43:45,160 --> 00:43:46,239 Speaker 5: I have just spent a career doing it. 871 00:43:46,400 --> 00:43:47,160 Speaker 8: I mean, come on. 872 00:43:47,960 --> 00:43:52,480 Speaker 1: This is the Bloomberg Intelligence Podcast, available on Apples, Spotify, 873 00:43:52,680 --> 00:43:55,600 Speaker 1: and anywhere else you will get your podcasts. Listen live 874 00:43:55,680 --> 00:43:59,240 Speaker 1: each weekday ten am to noon Eastern on Bloomberg dot com, 875 00:43:59,360 --> 00:44:02,800 Speaker 1: Thehart Radio app, tune In, and the Bloomberg Business app. 876 00:44:02,920 --> 00:44:05,920 Speaker 1: You can also watch us live every weekday on YouTube 877 00:44:06,120 --> 00:44:08,000 Speaker 1: and always on the Bloomberg terminal