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. Find 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 --> 00:00:23,360 Speaker 1: at Bloomberg dot com slash podcast. Matt and I have 7 00:00:23,480 --> 00:00:26,280 Speaker 1: really been focusing on during this whole pandemic, the global 8 00:00:26,320 --> 00:00:28,840 Speaker 1: supply chain issue, because that affects so many companies in 9 00:00:29,000 --> 00:00:32,000 Speaker 1: so many industries on a global scale, and weekend we 10 00:00:32,040 --> 00:00:34,360 Speaker 1: still don't. We heard about it again today from Targets, 11 00:00:34,400 --> 00:00:36,879 Speaker 1: so huge issue. The New York Federal Reserve Bank is 12 00:00:36,880 --> 00:00:38,840 Speaker 1: weighing in now and they've got what I'm what they're 13 00:00:38,880 --> 00:00:42,640 Speaker 1: calling today the New York Federal New York Fed Global 14 00:00:42,720 --> 00:00:46,040 Speaker 1: Supply Chain Pressure Index. That's what we need. I need 15 00:00:46,080 --> 00:00:48,520 Speaker 1: a picture, I need some numbers, and Dr John grown 16 00:00:48,880 --> 00:00:51,800 Speaker 1: joins us here. He is Economic Research Advisor for the 17 00:00:51,840 --> 00:00:53,840 Speaker 1: Federal Reserve Bank of New York. Dr Groan, thanks so 18 00:00:53,920 --> 00:00:56,440 Speaker 1: much for joining us here. Supply cham I'm looking at 19 00:00:56,480 --> 00:00:59,360 Speaker 1: your graph. Tell me what your index is. What it 20 00:00:59,440 --> 00:01:03,360 Speaker 1: tries to measure and what it's telling you, sure, good morning, 21 00:01:03,400 --> 00:01:05,840 Speaker 1: and thank you for having me on. So what we're 22 00:01:05,880 --> 00:01:09,160 Speaker 1: launching you to this this morning is what we've denoted 23 00:01:09,200 --> 00:01:12,000 Speaker 1: as the Global Supply Chain Pressure Index or g s 24 00:01:12,040 --> 00:01:14,960 Speaker 1: c p I, and it's a it's a single measure 25 00:01:15,319 --> 00:01:19,240 Speaker 1: of global supply chain pressures, uh, and it's it's can 26 00:01:19,240 --> 00:01:23,280 Speaker 1: be used to gauge the importance of the disruptions to 27 00:01:23,360 --> 00:01:27,800 Speaker 1: global supply chains and how they infect economic conditions and 28 00:01:28,000 --> 00:01:33,880 Speaker 1: how they these constrains uh evolve over time. Basically, all right, 29 00:01:33,920 --> 00:01:37,959 Speaker 1: so I'm looking for the folks on radio. I'm looking 30 00:01:37,959 --> 00:01:39,840 Speaker 1: at a graph here and it just kind of shows 31 00:01:39,840 --> 00:01:43,240 Speaker 1: the standard deviations from the average supply chain time goes 32 00:01:43,280 --> 00:01:47,800 Speaker 1: back to it's usually plus one minus one. We're up 33 00:01:47,920 --> 00:01:51,400 Speaker 1: like plus three, four or five. I mean, give us 34 00:01:51,400 --> 00:01:53,680 Speaker 1: a sense of kind of the the magnitude of the 35 00:01:53,720 --> 00:01:58,760 Speaker 1: supply chain shock we're experiencing right now. Yeah, So basically 36 00:01:58,840 --> 00:02:03,480 Speaker 1: what we've seen since to e twenties, essentially precious has 37 00:02:03,520 --> 00:02:06,639 Speaker 1: been like at the peak, it was like five times 38 00:02:06,640 --> 00:02:10,000 Speaker 1: as high as the average level of the whole sample. Right, 39 00:02:10,040 --> 00:02:16,120 Speaker 1: so starting from to twenty two, uh so before twenty 40 00:02:16,600 --> 00:02:20,280 Speaker 1: really we haven't seen anything even closer that. I mean, 41 00:02:20,360 --> 00:02:23,240 Speaker 1: what what what has been closes was what happened during 42 00:02:23,280 --> 00:02:26,520 Speaker 1: twenty eleven, you know, when we had the Fukushima earthquake 43 00:02:26,639 --> 00:02:30,360 Speaker 1: that hit a lot of the Japanese supply chains, and 44 00:02:30,400 --> 00:02:33,919 Speaker 1: then later that year the flow floodings in Thailands, which 45 00:02:34,120 --> 00:02:38,160 Speaker 1: which had hit a lot of like companies that you 46 00:02:38,200 --> 00:02:43,440 Speaker 1: know were supplying electric components to you know, electronic electronic 47 00:02:44,400 --> 00:02:50,840 Speaker 1: producers and auto producers. So this is like completely unprecedented. Uh, 48 00:02:50,880 --> 00:02:54,480 Speaker 1: and yeah, that's it's it's a new unique phase in 49 00:02:55,040 --> 00:02:58,160 Speaker 1: the global economy. So what is it taking into account? Exactly? 50 00:02:58,240 --> 00:03:01,680 Speaker 1: Is these transportation cost is this raw input coast um? 51 00:03:01,720 --> 00:03:03,960 Speaker 1: What are we looking at in terms of the contributors 52 00:03:04,000 --> 00:03:08,760 Speaker 1: to this index? Right, So basically the index summarizes developments 53 00:03:08,800 --> 00:03:14,200 Speaker 1: in twenty seven series and basically there are two main 54 00:03:14,320 --> 00:03:20,720 Speaker 1: categories of global transportation costs and then regional surveys about 55 00:03:20,760 --> 00:03:25,040 Speaker 1: the state of manufacturing in in in seven inter linked economy. 56 00:03:25,160 --> 00:03:28,320 Speaker 1: So in terms of the transportation cost you know, they're 57 00:03:28,360 --> 00:03:31,080 Speaker 1: looking we're looking at you know, the b d I 58 00:03:31,200 --> 00:03:34,720 Speaker 1: for example, which is a measure of just war war 59 00:03:35,040 --> 00:03:38,680 Speaker 1: raw good shipping transportation, and we're also looking at the 60 00:03:38,760 --> 00:03:43,200 Speaker 1: container shipping rates. And then in terms of you know, 61 00:03:43,280 --> 00:03:47,520 Speaker 1: the manufacturing data, we we we really heavily rely on 62 00:03:47,680 --> 00:03:51,080 Speaker 1: p m I surveys and especially data about you know, 63 00:03:51,200 --> 00:03:58,200 Speaker 1: supply supply delivery times, backlogs and inventories of manufacturing firms 64 00:03:58,280 --> 00:04:04,160 Speaker 1: in UH in the US, in China and Taiwan, South Korea, Japan, 65 00:04:04,680 --> 00:04:08,600 Speaker 1: the Ara area, and in the UK. So DR going 66 00:04:08,680 --> 00:04:11,040 Speaker 1: a lot of investors, you know, I think as they 67 00:04:11,080 --> 00:04:12,920 Speaker 1: think about inflation, they want to get a sense of 68 00:04:13,560 --> 00:04:16,960 Speaker 1: has it peaked to what extent and what you know, 69 00:04:17,080 --> 00:04:19,640 Speaker 1: kind of rate will it decline? What is has your 70 00:04:19,720 --> 00:04:25,080 Speaker 1: data indicated to you that perhaps the supply chain bottlenecks 71 00:04:26,080 --> 00:04:31,560 Speaker 1: have peaked, well, so what the what the index really 72 00:04:31,600 --> 00:04:34,880 Speaker 1: shows that the peak up to now was kind of 73 00:04:34,880 --> 00:04:37,719 Speaker 1: reach in December, So then we reased you know a 74 00:04:37,800 --> 00:04:41,960 Speaker 1: level of like five times higher disruptions than than the average. 75 00:04:42,640 --> 00:04:47,520 Speaker 1: And between December and basically April, we've seen a steady 76 00:04:47,560 --> 00:04:51,159 Speaker 1: decline I mean at the motor pace, but quite steady, 77 00:04:51,920 --> 00:04:55,520 Speaker 1: but still well made that historically historically high level. So 78 00:04:55,560 --> 00:04:58,520 Speaker 1: it still was about you know, less than three three 79 00:04:58,560 --> 00:05:01,760 Speaker 1: times the average level. What we've seen having in April 80 00:05:01,920 --> 00:05:05,120 Speaker 1: is kind of a little bit of a resurgence in disruptions. 81 00:05:05,200 --> 00:05:08,160 Speaker 1: So pastures went up again on the back of you know, 82 00:05:08,240 --> 00:05:13,320 Speaker 1: the geopolitical tensions in Europe due to the Ukraine Russia 83 00:05:13,400 --> 00:05:16,800 Speaker 1: conflict as well as the COVID lockdowns in China. So 84 00:05:16,839 --> 00:05:19,599 Speaker 1: it went back up to just over three times the 85 00:05:19,640 --> 00:05:25,720 Speaker 1: average levels. So yes, we speak, but it seems to 86 00:05:25,760 --> 00:05:28,119 Speaker 1: do at the moment, seems to botton out and maybe 87 00:05:28,400 --> 00:05:31,039 Speaker 1: become a little bit worse again. I mean going forward. 88 00:05:31,160 --> 00:05:35,600 Speaker 1: This measure is not a forecasting measure for future supply 89 00:05:35,680 --> 00:05:38,760 Speaker 1: chain pressures. I mean it's more like where we are 90 00:05:38,839 --> 00:05:41,640 Speaker 1: now at the moment. But it would be interesting to see, 91 00:05:41,760 --> 00:05:45,560 Speaker 1: you know how how it involved going forward. Alright, good stuff, 92 00:05:45,720 --> 00:05:49,039 Speaker 1: very interesting that to young grown economic research advisor for 93 00:05:49,080 --> 00:05:51,320 Speaker 1: the Federal Reserve Bank of New York, the New York 94 00:05:51,360 --> 00:05:55,080 Speaker 1: Fed releasing today a brand new index that tries to 95 00:05:55,160 --> 00:05:57,640 Speaker 1: measure the supply chain is called the New York Fed 96 00:05:57,640 --> 00:06:02,000 Speaker 1: Global Supply Chain Pressure Index. Fascinating stuff because again it 97 00:06:02,080 --> 00:06:04,479 Speaker 1: is an issue that really has come to the fore 98 00:06:05,000 --> 00:06:07,360 Speaker 1: and made all of us, i think, kind of experts 99 00:06:07,360 --> 00:06:09,880 Speaker 1: at logistics and supply chain and all that type of stuff. 100 00:06:09,880 --> 00:06:12,400 Speaker 1: Because Curtty we hear about it from all different types 101 00:06:12,440 --> 00:06:14,400 Speaker 1: of companies. Yeah, we really do. I mean we're talking 102 00:06:14,400 --> 00:06:17,120 Speaker 1: about retailers heavily in focus right now. But wasn't this 103 00:06:17,200 --> 00:06:19,600 Speaker 1: the story for Tactics a couple of weeks earlier. I mean, 104 00:06:19,720 --> 00:06:21,680 Speaker 1: some of these chip shortages that we've been talking about 105 00:06:21,720 --> 00:06:24,600 Speaker 1: for going on two years now, they are still there. 106 00:06:24,640 --> 00:06:26,320 Speaker 1: That chip shortage is still there. You hear it in 107 00:06:26,400 --> 00:06:29,200 Speaker 1: automakers even trying to get their hands on metals. So 108 00:06:29,240 --> 00:06:31,920 Speaker 1: this isn't a a right now story. But I think 109 00:06:31,920 --> 00:06:34,200 Speaker 1: he made a very apt point in the nine o'clock 110 00:06:34,360 --> 00:06:36,440 Speaker 1: is we've been talking about this for ages, why is 111 00:06:36,440 --> 00:06:39,320 Speaker 1: the market still not pricing it in? Yeah, it's interesting, 112 00:06:39,360 --> 00:06:41,200 Speaker 1: and um, you know, part of it is China and 113 00:06:41,279 --> 00:06:43,560 Speaker 1: getting those factories open on a consistent basis. And we're 114 00:06:43,560 --> 00:06:46,120 Speaker 1: starting to hear some news that parts of China are 115 00:06:46,120 --> 00:06:49,479 Speaker 1: starting to reopen, and most notably in the Shanghai region, 116 00:06:49,560 --> 00:06:51,960 Speaker 1: So maybe that will help things. And we had the 117 00:06:52,000 --> 00:06:54,159 Speaker 1: head of the l A Ports on yesterday he sees 118 00:06:54,200 --> 00:07:00,600 Speaker 1: the backlog of ships off the port coming down. You've 119 00:07:00,600 --> 00:07:03,720 Speaker 1: got gasoline prices at the pump uh at or near 120 00:07:03,800 --> 00:07:05,880 Speaker 1: a record high. I think about Matt having to flow 121 00:07:05,920 --> 00:07:08,160 Speaker 1: up that twenty three gallon. I don't know what is it, 122 00:07:08,279 --> 00:07:11,600 Speaker 1: Chevy Silverado pickup truck, gas tank that's gonna be You're 123 00:07:11,600 --> 00:07:13,680 Speaker 1: gonna take out a mortgage to do that? All right, 124 00:07:13,760 --> 00:07:16,240 Speaker 1: Let's check in on the consumer here. We've had a 125 00:07:16,280 --> 00:07:19,120 Speaker 1: lot of retail sales numbers, We've had a lot of 126 00:07:19,600 --> 00:07:23,040 Speaker 1: retailers report quarterly earnings. Uh, A mixed back here, but 127 00:07:23,080 --> 00:07:28,320 Speaker 1: inflation is the number one story we had earlier President 128 00:07:28,400 --> 00:07:31,680 Speaker 1: of Chicago FED, President Charles Evanson with Michael McKee talking 129 00:07:31,680 --> 00:07:35,400 Speaker 1: about the offensibility to impact and lower inflation. Let's check 130 00:07:35,440 --> 00:07:38,080 Speaker 1: in with Jennifer Leasing, your economist and managing director for 131 00:07:38,160 --> 00:07:43,840 Speaker 1: BMO Capital Markets. Uh. Jennifer, again, the Federal Reserve seems 132 00:07:43,880 --> 00:07:49,360 Speaker 1: to be laser focused on inflation. In reality, how much 133 00:07:49,400 --> 00:07:52,560 Speaker 1: can they impact inflation when some of the inflation we're 134 00:07:52,560 --> 00:07:56,080 Speaker 1: seeing is just kind of commodity driven, whether it's gasoline 135 00:07:56,160 --> 00:07:59,200 Speaker 1: or food prices. How do you think about its ability 136 00:07:59,240 --> 00:08:03,800 Speaker 1: to impact and good morning? UM. I think they have 137 00:08:04,160 --> 00:08:08,040 Speaker 1: a pretty good way of a pretty as strong UM handle. 138 00:08:08,080 --> 00:08:10,240 Speaker 1: I think on on what they or their tools of 139 00:08:10,280 --> 00:08:13,400 Speaker 1: what they can do to UM to to curb inflation 140 00:08:13,480 --> 00:08:16,160 Speaker 1: or to rein up back to the two percent a target. 141 00:08:16,720 --> 00:08:19,680 Speaker 1: But it's going to be painful as that share Powell 142 00:08:19,760 --> 00:08:22,320 Speaker 1: has has said, and you know, it's just going to 143 00:08:22,360 --> 00:08:25,840 Speaker 1: be using higher rates and they're going to keep going higher. 144 00:08:25,840 --> 00:08:27,520 Speaker 1: And it's like you just said that they're almost very 145 00:08:27,600 --> 00:08:30,280 Speaker 1: much laser focused now it was. It's kind of funny. 146 00:08:30,280 --> 00:08:31,880 Speaker 1: It's like last year it was almost like they were 147 00:08:31,880 --> 00:08:34,959 Speaker 1: looking for a reason to tighten, and now it's almost 148 00:08:35,000 --> 00:08:37,360 Speaker 1: like they're looking for a reason to stop. You know, 149 00:08:37,360 --> 00:08:40,320 Speaker 1: they're going to keep going faster and higher, and they're 150 00:08:40,360 --> 00:08:42,360 Speaker 1: just going to go beyond neutral before they stop and 151 00:08:42,640 --> 00:08:46,679 Speaker 1: take a break. Jennifer, there's a difference between an outright recession, 152 00:08:46,800 --> 00:08:50,520 Speaker 1: a contraction of the economy and to slow down. And 153 00:08:50,559 --> 00:08:54,199 Speaker 1: it feels like, if you are listening to the market commentary, 154 00:08:54,320 --> 00:08:57,480 Speaker 1: we've gone very quickly from a deceleration and growth to 155 00:08:57,520 --> 00:09:02,240 Speaker 1: an outright recession. Is that justify? So this is where 156 00:09:02,240 --> 00:09:05,000 Speaker 1: it gets a little dicey, Okay. So in in you know, 157 00:09:05,040 --> 00:09:08,960 Speaker 1: your textbook term of recession is two consecutive quarters of decline, 158 00:09:09,400 --> 00:09:12,160 Speaker 1: and we've already had one quarter on the headline drop 159 00:09:12,160 --> 00:09:14,840 Speaker 1: in GP at one point four percent annualized. Again in 160 00:09:14,920 --> 00:09:17,800 Speaker 1: Q one and um, you know Q two's I don't 161 00:09:17,800 --> 00:09:19,640 Speaker 1: think it's gonna be a decline, but I mean it 162 00:09:19,679 --> 00:09:22,800 Speaker 1: certainly does feel like a recession. But again I'm just 163 00:09:22,800 --> 00:09:24,920 Speaker 1: gonna focus now on the first quarter, Like what dropped, 164 00:09:25,480 --> 00:09:29,120 Speaker 1: what caused GDP to slow down? It was all imports, 165 00:09:29,120 --> 00:09:32,319 Speaker 1: like a huge surgeon imports, which speaks to very strong 166 00:09:32,480 --> 00:09:37,199 Speaker 1: domestic demand and less or slower inventory accumulation. Businesses are 167 00:09:37,200 --> 00:09:39,680 Speaker 1: still trying to you know, stock the shelves, but they're 168 00:09:39,679 --> 00:09:41,400 Speaker 1: doing it at a slower pace because they can't get 169 00:09:41,520 --> 00:09:44,439 Speaker 1: enough stuff to stuff to to stock their shelves with. 170 00:09:45,120 --> 00:09:48,160 Speaker 1: So you know, again the headline figure is because suggest 171 00:09:48,200 --> 00:09:51,040 Speaker 1: that there is recession, but again I don't think it's 172 00:09:51,440 --> 00:09:53,920 Speaker 1: the true true definition. Um. And I'm going to point to, 173 00:09:54,520 --> 00:09:56,120 Speaker 1: you know, the fact that we still had a really 174 00:09:56,200 --> 00:09:59,600 Speaker 1: solid retail sales figure for April, which do you guys 175 00:09:59,600 --> 00:10:02,040 Speaker 1: are all talking about yesterday? Um, And even though it's 176 00:10:02,040 --> 00:10:04,199 Speaker 1: a nominal terms, you know, in real terms, it was 177 00:10:04,240 --> 00:10:06,160 Speaker 1: sort of flat from ugal levels. But the still fact 178 00:10:06,160 --> 00:10:09,520 Speaker 1: that consumers are still well, they're buying, I think speaks volumes. 179 00:10:09,520 --> 00:10:11,480 Speaker 1: In the fact that there's still a very strong labor 180 00:10:11,520 --> 00:10:14,400 Speaker 1: market for now, and that guarantees that you know if 181 00:10:14,400 --> 00:10:15,719 Speaker 1: you have ever wage, if you sort off, you have 182 00:10:15,760 --> 00:10:17,079 Speaker 1: a job, then that means you're going to get a 183 00:10:17,080 --> 00:10:19,880 Speaker 1: study paycheck, which I think is um the key factor 184 00:10:19,920 --> 00:10:23,240 Speaker 1: to all of this. You mentioned inventories. That's a really 185 00:10:23,400 --> 00:10:26,040 Speaker 1: key piece. I wanted to kind of harp on and on. 186 00:10:26,920 --> 00:10:30,040 Speaker 1: In Target earnings today, you heard that one of the 187 00:10:30,160 --> 00:10:33,959 Speaker 1: costs from or when the margin pressures was coming not 188 00:10:34,160 --> 00:10:36,840 Speaker 1: from headcount of compensation in their stores, but in their 189 00:10:36,840 --> 00:10:40,000 Speaker 1: distribution centers. And I've actually chart this. You can do 190 00:10:40,040 --> 00:10:42,920 Speaker 1: this folks on the terminal and chart the inventory to 191 00:10:43,040 --> 00:10:45,240 Speaker 1: sales spread of a lot of these major retailers. It's 192 00:10:45,320 --> 00:10:48,439 Speaker 1: essentially spiking to a twenty year high, which I believe 193 00:10:48,480 --> 00:10:51,280 Speaker 1: is as far as the data goes. Jennifer, I have 194 00:10:51,360 --> 00:10:54,000 Speaker 1: to ask you if you see this inventory build up 195 00:10:54,080 --> 00:10:57,400 Speaker 1: doesn't create more reasons for the economy to slow down. 196 00:10:57,440 --> 00:10:59,880 Speaker 1: The idea being that if you see demand slow down, 197 00:11:00,040 --> 00:11:01,920 Speaker 1: even demand increase for that matter, and you have this 198 00:11:02,000 --> 00:11:05,400 Speaker 1: inventory build up, there's less incentive to produce more things 199 00:11:05,480 --> 00:11:10,240 Speaker 1: or even import more things. Does that add to the slowdown? Well, 200 00:11:10,320 --> 00:11:12,640 Speaker 1: right now, it's um. The fact that you're adding to 201 00:11:12,720 --> 00:11:15,520 Speaker 1: their inventories you know, um, you know, from on a 202 00:11:15,559 --> 00:11:18,360 Speaker 1: trend basis, I guess that is actually adding um to 203 00:11:18,559 --> 00:11:21,839 Speaker 1: growth and that's not potentially slowing it down. But you know, 204 00:11:21,880 --> 00:11:23,439 Speaker 1: of course you've got it's like you just pointed out, 205 00:11:23,440 --> 00:11:26,360 Speaker 1: you just have to look at the the demand side, 206 00:11:26,880 --> 00:11:29,000 Speaker 1: and so far there is still and I'm going to say, 207 00:11:29,040 --> 00:11:30,880 Speaker 1: there's still a lot of strong demand. There's still a 208 00:11:30,920 --> 00:11:33,520 Speaker 1: lot of people, a lot of businesses waiting for items 209 00:11:33,559 --> 00:11:36,079 Speaker 1: to come through. Um. You know, I I love to 210 00:11:36,120 --> 00:11:38,160 Speaker 1: look at the I s M surveys not for the headlines, 211 00:11:38,200 --> 00:11:40,400 Speaker 1: but for the comments, and for these are the people 212 00:11:40,440 --> 00:11:43,320 Speaker 1: that are directly working you know, Um, they're they're they're 213 00:11:43,320 --> 00:11:45,360 Speaker 1: are you know, in the factories, and they're the ones 214 00:11:45,360 --> 00:11:47,160 Speaker 1: who are counting all the widgets that are coming in. 215 00:11:47,200 --> 00:11:49,360 Speaker 1: And all the comments still point to the fact that 216 00:11:49,400 --> 00:11:51,880 Speaker 1: they are running low on materials and that which is 217 00:11:51,960 --> 00:11:55,000 Speaker 1: driving costs higher. Um. And still you know, there's still 218 00:11:55,000 --> 00:11:57,319 Speaker 1: a lot of demand. But the interesting thing to all 219 00:11:57,360 --> 00:12:00,360 Speaker 1: of this is that businesses are actually turning down orders 220 00:12:00,679 --> 00:12:02,760 Speaker 1: still because you know, it's like it's almost like your 221 00:12:02,760 --> 00:12:05,040 Speaker 1: money is don't go here, right you um, uh, your 222 00:12:05,120 --> 00:12:07,160 Speaker 1: orders are coming in, but sorry, we can't fulfill it 223 00:12:07,160 --> 00:12:09,440 Speaker 1: out of reasonable time, so you know, we we can't 224 00:12:09,440 --> 00:12:11,880 Speaker 1: take your order right now, which is a very weird 225 00:12:11,920 --> 00:12:14,280 Speaker 1: place to be at right now. But I still think 226 00:12:14,280 --> 00:12:17,080 Speaker 1: that there is demand out there. As long as there 227 00:12:17,320 --> 00:12:19,480 Speaker 1: is demand, the inventory levels, you know, they're just trying 228 00:12:19,480 --> 00:12:22,040 Speaker 1: to build it up in order to meet that, all right. 229 00:12:22,120 --> 00:12:24,560 Speaker 1: Jennifer Lee, thank you so much for joining us giving 230 00:12:24,559 --> 00:12:27,240 Speaker 1: your thoughts here on these markets, on this federal reserve, 231 00:12:27,400 --> 00:12:31,679 Speaker 1: and on inflation that is rife in this economy. Jennifer Lee, 232 00:12:31,800 --> 00:12:35,120 Speaker 1: Senior economist and Managing director for BMO Capita Markets. Looking 233 00:12:35,160 --> 00:12:38,079 Speaker 1: at the markets here, rolling over yet again, we're down 234 00:12:38,120 --> 00:12:41,560 Speaker 1: about two percent here on the SMP five, a little 235 00:12:41,559 --> 00:12:45,280 Speaker 1: more than two percent on nastack. Looking at the tenure treasury, Uh, 236 00:12:45,320 --> 00:12:47,240 Speaker 1: there's a bit out there for the tenure treasure. Yields 237 00:12:47,280 --> 00:12:49,959 Speaker 1: are coming back. We have the tenure yielding two point 238 00:12:50,040 --> 00:12:53,160 Speaker 1: nine three percent. We were about three percent uh this morning, 239 00:12:53,160 --> 00:12:56,800 Speaker 1: so yields really coming in. Oil. Crew to oil was 240 00:12:56,880 --> 00:12:59,080 Speaker 1: up a little bit earlier, but the off just slegged 241 00:12:59,120 --> 00:13:00,960 Speaker 1: off about a half percent for w t I crude 242 00:13:00,960 --> 00:13:05,959 Speaker 1: oil that's called twelve dollars a barrel, still way elevated. 243 00:13:09,320 --> 00:13:11,160 Speaker 1: Do we have a bottom in this market. I don't 244 00:13:11,320 --> 00:13:13,679 Speaker 1: think so, and not by today's trading hill off another 245 00:13:13,679 --> 00:13:16,560 Speaker 1: one point eight percent on the smp UH five hundred. 246 00:13:16,600 --> 00:13:18,280 Speaker 1: But let's talk to somebody who does this for a 247 00:13:18,320 --> 00:13:20,520 Speaker 1: living and talks to traders for a living. Barry metzger 248 00:13:20,840 --> 00:13:23,560 Speaker 1: managing director and head of Trading and Education at Charles Schwab, 249 00:13:23,640 --> 00:13:25,240 Speaker 1: joins us here in our Bloomberg in our actor Broker 250 00:13:25,320 --> 00:13:29,040 Speaker 1: studio Live. He's in town in the Bloomberg headquarters for 251 00:13:29,080 --> 00:13:32,560 Speaker 1: a Bloomberg Intelligence Investor conference today. Barry, thanks so much 252 00:13:32,559 --> 00:13:34,880 Speaker 1: for joining us here. You know, I think the question 253 00:13:35,120 --> 00:13:37,839 Speaker 1: that I started hearing more and more in the last 254 00:13:38,040 --> 00:13:41,480 Speaker 1: week or two is are we at the bottom? How 255 00:13:41,480 --> 00:13:43,880 Speaker 1: do I identify a bottom? When you talk to your traders, 256 00:13:43,880 --> 00:13:47,520 Speaker 1: when you do your surveys, our traders thinking about calling 257 00:13:47,559 --> 00:13:50,559 Speaker 1: a bottom anytime soon? Well, first of all, Paul, it's 258 00:13:50,600 --> 00:13:52,880 Speaker 1: great to be here live, so thanks for having me. 259 00:13:52,920 --> 00:13:55,840 Speaker 1: You know, our traders are very vocal, and you know, 260 00:13:56,240 --> 00:13:58,560 Speaker 1: when it comes to calling a bottom, that's always tough. 261 00:13:58,600 --> 00:14:01,920 Speaker 1: But certainly what we seen in this recent survey as 262 00:14:02,000 --> 00:14:06,600 Speaker 1: clients are very bearish. They are definitely bearish given the UH, 263 00:14:06,840 --> 00:14:10,079 Speaker 1: given the events inflation is absolutely on their mind. I 264 00:14:10,080 --> 00:14:14,160 Speaker 1: would say issues one, two, and three are inflation, inflation, inflation. 265 00:14:14,280 --> 00:14:17,040 Speaker 1: So when you take that into account, and we listened 266 00:14:17,080 --> 00:14:20,120 Speaker 1: to the survey from our clients, you know that inflation 267 00:14:20,160 --> 00:14:23,080 Speaker 1: issues the biggest one. And I would say from the data, 268 00:14:23,480 --> 00:14:25,520 Speaker 1: a third of our clients stint inflation is going to 269 00:14:25,600 --> 00:14:28,760 Speaker 1: stick around for a little bit. But um, excuse me, 270 00:14:28,760 --> 00:14:31,440 Speaker 1: a third of them think it's gonna last until so 271 00:14:31,480 --> 00:14:34,120 Speaker 1: based on that sunament, that's that could be quite well too. 272 00:14:34,200 --> 00:14:36,360 Speaker 1: Thirds thinks it's a little bit more of a shorter term. 273 00:14:36,400 --> 00:14:38,840 Speaker 1: But um, certainly our clients are looking at what we're 274 00:14:38,840 --> 00:14:41,520 Speaker 1: calling a Russian Bear Russian Bear meeting. All the three 275 00:14:41,560 --> 00:14:44,320 Speaker 1: major industries are down in Bear territory by the end 276 00:14:44,320 --> 00:14:49,840 Speaker 1: of two a Russian Bear, a Russian Bear tie to Ukraine. 277 00:14:49,880 --> 00:14:54,400 Speaker 1: Of course. Um, you know it's interesting. I camera christ 278 00:14:54,520 --> 00:14:57,320 Speaker 1: our Macroman strategist. Always he was when my teachers used 279 00:14:57,360 --> 00:14:59,560 Speaker 1: to tell me find the historical precedents that I've been 280 00:14:59,560 --> 00:15:03,320 Speaker 1: obset with the nineteen sixty two President Cuban missile crisis, 281 00:15:03,560 --> 00:15:06,320 Speaker 1: the market just slid for nine months straight and didn't 282 00:15:06,360 --> 00:15:08,840 Speaker 1: recover until the Cuban missile crisis was over. So I 283 00:15:08,840 --> 00:15:11,200 Speaker 1: have to ask, we're painting a lot of the sell 284 00:15:11,240 --> 00:15:13,640 Speaker 1: off on inflation, We're painting it on supply chain issues, 285 00:15:13,680 --> 00:15:17,960 Speaker 1: even COVID. The minute the war in Ukraine ends, whenever 286 00:15:18,000 --> 00:15:21,400 Speaker 1: that might be, is that when we see a complete turnaround. Yeah, 287 00:15:21,520 --> 00:15:24,520 Speaker 1: certainly our clients are very much looking at the geopolitical 288 00:15:24,600 --> 00:15:27,680 Speaker 1: roosts in Ukraine. So, as I mentioned, inflation is number one, 289 00:15:28,360 --> 00:15:30,560 Speaker 1: Ukraine is absolutely number two. So could you see a 290 00:15:30,600 --> 00:15:32,960 Speaker 1: bump based on what our clients are saying once that ends, 291 00:15:32,960 --> 00:15:35,720 Speaker 1: and what does that look like? It depends, But I 292 00:15:35,720 --> 00:15:37,920 Speaker 1: would certainly think there would be positive news based on 293 00:15:37,920 --> 00:15:40,000 Speaker 1: what we're seeing, But a lot more goes into it 294 00:15:40,040 --> 00:15:43,360 Speaker 1: as well. You know, it is inflation, it is Ukraine, 295 00:15:43,520 --> 00:15:46,120 Speaker 1: but it is you know, obviously the prices that they're seeing. 296 00:15:46,160 --> 00:15:49,080 Speaker 1: And frankly, the question I get after often a lot is, Okay, 297 00:15:49,080 --> 00:15:51,040 Speaker 1: if if I were to hand you ten thousand dollars, 298 00:15:51,080 --> 00:15:53,320 Speaker 1: what would you do with that? You know, that decision 299 00:15:53,360 --> 00:15:55,120 Speaker 1: was pretty easy a couple of years ago. You could 300 00:15:55,120 --> 00:15:57,520 Speaker 1: put in your megacap socks and be happy. Now all 301 00:15:57,520 --> 00:15:59,520 Speaker 1: of a sudden, you gotta pause, you have to think 302 00:15:59,560 --> 00:16:02,160 Speaker 1: about it. And our clients are actually looking more towards 303 00:16:02,200 --> 00:16:06,760 Speaker 1: real estate, um oil, gold, and even crypto as potential 304 00:16:06,960 --> 00:16:09,880 Speaker 1: other investments besides the typical ones that we've seen. Yeah, 305 00:16:09,880 --> 00:16:13,480 Speaker 1: it's interesting. I mean the we had the Chicago FED 306 00:16:13,520 --> 00:16:16,520 Speaker 1: President Charles Evans on Bloomberg Radio television earlier this morning, 307 00:16:16,520 --> 00:16:18,760 Speaker 1: and you know, he was saying, as you were saying, 308 00:16:18,800 --> 00:16:22,840 Speaker 1: that the Fed is absolutely laser focused on inflation. Um. 309 00:16:22,920 --> 00:16:24,920 Speaker 1: That kind of goes to the point they're going to 310 00:16:25,000 --> 00:16:27,960 Speaker 1: be aggressive here and they've already shown to be aggressive. 311 00:16:28,000 --> 00:16:31,080 Speaker 1: And it kind of begs a question, what risk assets 312 00:16:31,080 --> 00:16:34,680 Speaker 1: can perform well in that type of environment. Yeah, great question. 313 00:16:34,760 --> 00:16:37,280 Speaker 1: And in fact, when we looked at the survey, clients 314 00:16:37,320 --> 00:16:39,920 Speaker 1: did address this. And you know, when the survey was taken, 315 00:16:39,920 --> 00:16:41,960 Speaker 1: I think most of our clients were thinking twenty five 316 00:16:41,960 --> 00:16:44,840 Speaker 1: basis point increase was kind of the norm. If we 317 00:16:44,920 --> 00:16:47,520 Speaker 1: had that survey taken today, they would probably be more 318 00:16:47,560 --> 00:16:50,160 Speaker 1: a half or even you know, three quarters, So maybe 319 00:16:50,160 --> 00:16:53,640 Speaker 1: even a different pump um. You know, it's it's hard 320 00:16:53,640 --> 00:16:56,400 Speaker 1: to say. I think this speaks to having a diversified portfolio. 321 00:16:56,640 --> 00:16:58,400 Speaker 1: I think this gets back to some of the basics 322 00:16:58,440 --> 00:17:01,480 Speaker 1: of having a financial plan, understand your goals. Look, I 323 00:17:01,560 --> 00:17:04,080 Speaker 1: leave the trading business. But I'm still a believer in 324 00:17:04,160 --> 00:17:06,760 Speaker 1: your wealth management principles of having a plan tied your 325 00:17:06,800 --> 00:17:10,840 Speaker 1: goals and objectives, having an asset allocated portfolio. And there's 326 00:17:11,000 --> 00:17:13,280 Speaker 1: times when you need to ignore the noise um. And 327 00:17:13,320 --> 00:17:16,040 Speaker 1: we've heard that many, many times, and so this, you know, 328 00:17:16,119 --> 00:17:18,200 Speaker 1: for many investors, I think it is playing a little 329 00:17:18,200 --> 00:17:20,639 Speaker 1: bit of the long game versus trying to get you know, 330 00:17:20,960 --> 00:17:23,200 Speaker 1: swept up in some of these short term markets, which 331 00:17:23,240 --> 00:17:26,040 Speaker 1: I think is really really important. I'm glad you mentioned 332 00:17:26,080 --> 00:17:28,960 Speaker 1: a short term markets because you also said the conversation 333 00:17:29,160 --> 00:17:31,560 Speaker 1: on where you spend your ten thousand dollars is really 334 00:17:32,480 --> 00:17:35,200 Speaker 1: easy two years ago, but not so easy now. So 335 00:17:35,560 --> 00:17:37,800 Speaker 1: let's put this to you. You have ten thousand dollars, 336 00:17:37,840 --> 00:17:39,600 Speaker 1: You've got a three month time horizon. Where do you 337 00:17:39,640 --> 00:17:41,919 Speaker 1: put it? So I'm not going to leave it in 338 00:17:41,960 --> 00:17:43,200 Speaker 1: bank in the bank, I'm not going to leave it 339 00:17:43,240 --> 00:17:46,640 Speaker 1: in cash. Listen. I still go to the the the 340 00:17:46,640 --> 00:17:49,119 Speaker 1: philosophy of you know, if you walk past the store 341 00:17:49,600 --> 00:17:51,919 Speaker 1: and you see an item that you wanted me to 342 00:17:51,920 --> 00:17:54,520 Speaker 1: buy that was thirty or off, you're gonna buy it 343 00:17:54,600 --> 00:17:57,040 Speaker 1: right away, like wow, such a deal. But when it's 344 00:17:57,040 --> 00:17:59,440 Speaker 1: the market um for some reason, people are hesitant to 345 00:17:59,440 --> 00:18:02,440 Speaker 1: take advantage that. So I would still look for opportunities 346 00:18:02,440 --> 00:18:05,399 Speaker 1: that are tied to my objectives. Do a little dollar 347 00:18:05,440 --> 00:18:08,439 Speaker 1: cost averaging, maybe not all once, but look at different 348 00:18:08,440 --> 00:18:10,760 Speaker 1: sectors that I believe in more for the long term 349 00:18:11,119 --> 00:18:13,280 Speaker 1: and start buying them on a discount. So that could 350 00:18:13,320 --> 00:18:15,840 Speaker 1: be you know, your typical large cap sectors as well. 351 00:18:15,880 --> 00:18:19,080 Speaker 1: And but I think there are opportunities for alternative investments, 352 00:18:19,119 --> 00:18:21,040 Speaker 1: like I said earlier, and I do think there's some 353 00:18:21,040 --> 00:18:23,719 Speaker 1: other opportunities specifically in rates, just like our clients are 354 00:18:23,720 --> 00:18:26,879 Speaker 1: suggesting that do look opportunistic, you know, we're you know. 355 00:18:26,880 --> 00:18:28,919 Speaker 1: There's one of the stock stories of the day today. 356 00:18:28,960 --> 00:18:33,320 Speaker 1: Barry was a target reported some numbers with some disappointing guidance, 357 00:18:33,359 --> 00:18:37,240 Speaker 1: citing the cost inflation impacting their business and their consumers. 358 00:18:37,640 --> 00:18:40,800 Speaker 1: Started the day a hundred billion dollar market cap. It's 359 00:18:40,800 --> 00:18:44,480 Speaker 1: off twenty five percent. It is rare in my experience 360 00:18:44,520 --> 00:18:48,919 Speaker 1: to see such a large company very liquidly traded. Thirty 361 00:18:48,920 --> 00:18:51,280 Speaker 1: one analysts follow the stock, widely held by some of 362 00:18:51,280 --> 00:18:54,320 Speaker 1: the smartest institutional investors. What does it tell you about 363 00:18:54,320 --> 00:18:56,560 Speaker 1: when when you see the price action in a big 364 00:18:56,600 --> 00:18:59,520 Speaker 1: cap stock like that today. Yeah, I mean we're we're 365 00:18:59,520 --> 00:19:01,919 Speaker 1: seeing the in lots of different places. I think this again, 366 00:19:02,480 --> 00:19:04,239 Speaker 1: ghost e fact, you certainly don't want to have all 367 00:19:04,280 --> 00:19:06,280 Speaker 1: your eggs in one basket, um, because you never know 368 00:19:06,320 --> 00:19:08,720 Speaker 1: what could happen with that basket. I mean, the markets 369 00:19:08,760 --> 00:19:12,440 Speaker 1: can be unpredictable. I think the important thing in all 370 00:19:12,480 --> 00:19:15,880 Speaker 1: sincerity is not to panic and not to make grass decisions. Uh, 371 00:19:15,920 --> 00:19:18,640 Speaker 1: it's to stick to your fundamental plans and recognize that 372 00:19:19,359 --> 00:19:22,480 Speaker 1: markets move, and markets can move quickly, and it always 373 00:19:22,520 --> 00:19:26,440 Speaker 1: seems like, man, they fall so much quicker than they rise. Um. 374 00:19:26,520 --> 00:19:28,320 Speaker 1: And so maybe a good day for those of you 375 00:19:28,400 --> 00:19:30,400 Speaker 1: invest in that To turn off the screens, that's okay, 376 00:19:30,720 --> 00:19:34,719 Speaker 1: but take a long view approach versus getting whipsawed by 377 00:19:34,720 --> 00:19:36,919 Speaker 1: the news on a day to day basis. Are you 378 00:19:36,960 --> 00:19:39,919 Speaker 1: still seeing I mean your schwab, you've got the you know, 379 00:19:39,960 --> 00:19:44,160 Speaker 1: you get the greatest view on individual traders and retail 380 00:19:45,000 --> 00:19:47,480 Speaker 1: What are the retail folks doing these days? Yah? So 381 00:19:47,520 --> 00:19:49,920 Speaker 1: retail folks are certainly still engaged in what we see 382 00:19:49,920 --> 00:19:53,120 Speaker 1: in a lot of our more active traders is um. 383 00:19:53,160 --> 00:19:56,680 Speaker 1: Even though there's more volatility, more unpredictability in the markets, 384 00:19:56,680 --> 00:19:58,679 Speaker 1: and maybe certain sectors that they had to invest in. 385 00:19:58,920 --> 00:20:01,159 Speaker 1: They're still using this time time to stay educated. I 386 00:20:01,160 --> 00:20:04,640 Speaker 1: think that's really important. In my role, it's trading and education, 387 00:20:04,960 --> 00:20:08,040 Speaker 1: and education, in my opinion, has never been more important. 388 00:20:08,119 --> 00:20:10,720 Speaker 1: So let's say the example you said about ten dollars, 389 00:20:10,760 --> 00:20:12,800 Speaker 1: maybe I don't investor right away. Maybe I spend more 390 00:20:12,840 --> 00:20:16,159 Speaker 1: time researching, spend more time understanding different strategies that I 391 00:20:16,160 --> 00:20:19,440 Speaker 1: could be utilizing, maybe looking at more risk, defying strategies, 392 00:20:19,480 --> 00:20:22,800 Speaker 1: utilizing options, and other areas that potentially can help my 393 00:20:22,920 --> 00:20:27,000 Speaker 1: portfolio or had some risk. So I would say, by 394 00:20:26,760 --> 00:20:29,520 Speaker 1: and by and large, our clients are actively staying engage, 395 00:20:29,680 --> 00:20:32,400 Speaker 1: utilizing more education, and trying to get more knowledgeable about 396 00:20:32,400 --> 00:20:34,800 Speaker 1: the markets. All right, verty great stuff. Really appreciate you 397 00:20:34,800 --> 00:20:38,040 Speaker 1: coming into the Bloomberg studio. Barry Metzger, He's managing director 398 00:20:38,040 --> 00:20:45,760 Speaker 1: and head of Trading an Education at Charles Schwab. All right, 399 00:20:45,800 --> 00:20:49,800 Speaker 1: I'm looking at d X Y index here, the dollar 400 00:20:49,960 --> 00:20:52,880 Speaker 1: index on a trailing twelve month basis. We started about 401 00:20:52,880 --> 00:20:55,880 Speaker 1: a year ago down around ninety. The index today's one 402 00:20:55,960 --> 00:20:59,160 Speaker 1: h three spots six. Just a steady, steady move higher 403 00:20:59,280 --> 00:21:01,880 Speaker 1: for the green back. Is there a bear case out there? 404 00:21:01,880 --> 00:21:06,320 Speaker 1: For the dollar. Brent Don, president of Spectr Markets, joins us. Brent, 405 00:21:06,480 --> 00:21:09,280 Speaker 1: I mean the the US dollar has just been marching 406 00:21:09,359 --> 00:21:12,200 Speaker 1: higher and higher and higher. Is there a bear case 407 00:21:12,280 --> 00:21:15,480 Speaker 1: for the dollar? Hey, good morning, Paul. Yeah, that's a 408 00:21:15,520 --> 00:21:18,840 Speaker 1: really interesting thing that's happened. Is the death of the 409 00:21:18,880 --> 00:21:21,720 Speaker 1: dollar is a popular theme, right It always is a 410 00:21:21,760 --> 00:21:24,399 Speaker 1: popular theme. Ever since I was a kid. It's been 411 00:21:24,440 --> 00:21:26,879 Speaker 1: a popular theme. And yet it's just a theme that 412 00:21:26,920 --> 00:21:31,639 Speaker 1: doesn't work very well. Um. Currently with two engines of growth, 413 00:21:31,760 --> 00:21:34,600 Speaker 1: China and Europe are both sputtering and you really see 414 00:21:34,640 --> 00:21:38,840 Speaker 1: that especially in new orders UM and expectations in Europe. UM. 415 00:21:38,840 --> 00:21:41,359 Speaker 1: The dollar is kind of the cleanest dirty shirt right now. 416 00:21:42,080 --> 00:21:46,479 Speaker 1: People thought that with the swift band on Russia that 417 00:21:46,480 --> 00:21:49,800 Speaker 1: that would be some kind of warning signed to other 418 00:21:50,000 --> 00:21:54,199 Speaker 1: central banks to stay away from from US assets. The 419 00:21:54,240 --> 00:21:57,679 Speaker 1: weaponization of the dollar potentially could have been negative for 420 00:21:57,680 --> 00:21:59,640 Speaker 1: the dollar, but it hasn't had any impact at all, 421 00:22:00,160 --> 00:22:02,880 Speaker 1: and in fact, it hasn't even had an impact on gold. 422 00:22:03,000 --> 00:22:06,320 Speaker 1: Where people thought that was the obvious trade was if 423 00:22:06,359 --> 00:22:08,880 Speaker 1: central banks are going to move away from US assets, 424 00:22:08,920 --> 00:22:11,920 Speaker 1: and they certainly don't want European assets because they bend 425 00:22:12,160 --> 00:22:14,960 Speaker 1: they made the band as well. Then gold seemed like 426 00:22:14,960 --> 00:22:18,159 Speaker 1: an obvious beneficiary, and yet there's been no evidence of 427 00:22:18,200 --> 00:22:21,720 Speaker 1: central banks buying gold either. So what it comes back 428 00:22:21,760 --> 00:22:25,000 Speaker 1: to is the US is the most liquid capital market 429 00:22:25,040 --> 00:22:28,320 Speaker 1: in the world, and when people are nervous, even if 430 00:22:28,560 --> 00:22:32,400 Speaker 1: US equities are underperforming, which they are, when people are nervous, 431 00:22:32,480 --> 00:22:36,320 Speaker 1: they come and buy the dollar. Brent Donnelly, I was like, 432 00:22:36,440 --> 00:22:38,880 Speaker 1: this name sounds so familiar in the pole, I realized 433 00:22:38,920 --> 00:22:41,320 Speaker 1: I have his book on my bookshelf, really the Art 434 00:22:41,320 --> 00:22:45,560 Speaker 1: of Currency Trading. Well, he's been all currencies, yeah, HSBC, 435 00:22:45,800 --> 00:22:49,040 Speaker 1: Lehman Brothers, Nomura, I mean, totally an expert on the dollar. 436 00:22:49,119 --> 00:22:51,800 Speaker 1: But anyways, it's very cool to speak to an author 437 00:22:51,840 --> 00:22:54,159 Speaker 1: I know for my bookshelf. But Brent, I have to 438 00:22:54,200 --> 00:22:56,920 Speaker 1: ask you about stagflation. That seems to be a ward 439 00:22:56,960 --> 00:22:59,760 Speaker 1: that comes up over and over and over agun Is 440 00:22:59,760 --> 00:23:03,520 Speaker 1: that a inevitability for the United States or for Europe. 441 00:23:05,000 --> 00:23:08,119 Speaker 1: I wouldn't say it's inevitable. Um, you know, forecasting is 442 00:23:08,160 --> 00:23:10,640 Speaker 1: hard and that's something I say in my book, but 443 00:23:11,080 --> 00:23:16,240 Speaker 1: I will say that so stagflation, stagflation obviously is stagnation 444 00:23:16,280 --> 00:23:18,480 Speaker 1: and inflation. I don't think I need to talk about 445 00:23:18,480 --> 00:23:23,119 Speaker 1: the inflation side, um, But the concern now is that Okay, 446 00:23:23,160 --> 00:23:27,080 Speaker 1: first of all, you have Europe and China are both problematic. 447 00:23:27,160 --> 00:23:29,600 Speaker 1: Like I said, new orders, especially which tends to be 448 00:23:29,640 --> 00:23:33,679 Speaker 1: the most forward looking, is really ugly, especially in Europe. 449 00:23:34,119 --> 00:23:37,000 Speaker 1: But the thing is now in the US people focus 450 00:23:37,119 --> 00:23:40,640 Speaker 1: on on lagging data like the unemployment rate, But if 451 00:23:40,680 --> 00:23:43,399 Speaker 1: you listen to the conference calls and you look at 452 00:23:43,680 --> 00:23:47,679 Speaker 1: the more recent anecdotal stuff, those anecdotes add up to 453 00:23:47,800 --> 00:23:50,320 Speaker 1: a little bit of concern, even on the labor market. 454 00:23:50,400 --> 00:23:53,680 Speaker 1: So I wouldn't say that it's recessionary type of concern. 455 00:23:54,320 --> 00:23:58,560 Speaker 1: But if you look at Amazon, Netflix, Facebook, Twitter, cameo Carvon, 456 00:23:58,800 --> 00:24:00,800 Speaker 1: I mean I could actually make a longer list than that. 457 00:24:01,240 --> 00:24:05,359 Speaker 1: There's been a lot of either hiring restraint announcements or 458 00:24:05,480 --> 00:24:08,800 Speaker 1: outright layoffs, and that kind of stuff doesn't show up 459 00:24:08,800 --> 00:24:11,399 Speaker 1: in the data for a while. So I think people 460 00:24:11,440 --> 00:24:14,040 Speaker 1: that are relying on a strong US jobs market to 461 00:24:14,119 --> 00:24:18,240 Speaker 1: make the case that everything's fine are probably a slightly 462 00:24:18,320 --> 00:24:22,439 Speaker 1: misguided because that the unemployment rate specifically is a very 463 00:24:22,520 --> 00:24:27,800 Speaker 1: lagging indicator. And to me, the the drop in unemployment 464 00:24:27,920 --> 00:24:31,520 Speaker 1: or the freezes and or the freezes and employment are 465 00:24:31,640 --> 00:24:34,320 Speaker 1: very reminiscent of two thousand, two thousand one. If you 466 00:24:34,359 --> 00:24:39,560 Speaker 1: remember that era, stocks dropped about before you saw anything 467 00:24:39,600 --> 00:24:43,720 Speaker 1: in in the unemployment or initial claims data. UM. So 468 00:24:43,800 --> 00:24:46,240 Speaker 1: now you have the disruption and work from home stocks 469 00:24:46,280 --> 00:24:50,919 Speaker 1: all down around and then the exact same pattern plays 470 00:24:50,960 --> 00:24:55,119 Speaker 1: out where hiring slows because these tech companies know that 471 00:24:55,160 --> 00:24:59,040 Speaker 1: the financing is drying up right. It's Powell Is is 472 00:24:59,119 --> 00:25:03,520 Speaker 1: tightening financial conditions and VC and everyone is feeling that. 473 00:25:04,160 --> 00:25:08,360 Speaker 1: So anyone that overbuilt, like Carbona being an extreme example, 474 00:25:08,440 --> 00:25:11,720 Speaker 1: but even Amazon being another example, really have to pull 475 00:25:11,760 --> 00:25:15,919 Speaker 1: back the reins now, UM, and specifically the tech companies 476 00:25:15,960 --> 00:25:18,480 Speaker 1: that lose a lot of money are not going to 477 00:25:18,600 --> 00:25:22,240 Speaker 1: have easy access to free money anymore. So I think 478 00:25:22,320 --> 00:25:26,600 Speaker 1: that's leading to a drop in confidence, and you see 479 00:25:26,600 --> 00:25:29,480 Speaker 1: that in the consumer confidence data. Now much of that's 480 00:25:29,520 --> 00:25:32,200 Speaker 1: driven by inflation, but now you're starting to see a 481 00:25:32,200 --> 00:25:34,840 Speaker 1: little bit of concern about employment too. So I think 482 00:25:34,880 --> 00:25:38,360 Speaker 1: we're on the front edge of the stagnation part um, 483 00:25:38,400 --> 00:25:40,640 Speaker 1: and we really have to monitor the data and actually, 484 00:25:40,680 --> 00:25:44,119 Speaker 1: more importantly, I think monitor the conference calls of of 485 00:25:44,200 --> 00:25:46,639 Speaker 1: the big names because you look at Target and Walmart. 486 00:25:47,560 --> 00:25:50,560 Speaker 1: UM also kind of concerning right, you're moving out of 487 00:25:50,600 --> 00:25:54,280 Speaker 1: the tech area and now into the consumer and that's 488 00:25:54,320 --> 00:25:57,359 Speaker 1: a little bit worrisome too. So I would say people 489 00:25:57,400 --> 00:26:01,040 Speaker 1: should be worrying about stagflation, all right, Brent, good stuff. 490 00:26:01,080 --> 00:26:03,480 Speaker 1: Really appreciate you taking the time talking to us about 491 00:26:03,480 --> 00:26:06,680 Speaker 1: this economy, talking to us about the currency markets here, 492 00:26:06,880 --> 00:26:10,640 Speaker 1: focusing on again not just the government information, but UH 493 00:26:10,720 --> 00:26:13,639 Speaker 1: info and forward forecast, forward looks from a lot of 494 00:26:13,640 --> 00:26:16,560 Speaker 1: these companies. Brent Downley, president of Spectr Markets. He spent 495 00:26:16,720 --> 00:26:21,520 Speaker 1: uh many many years trading currencies across Wall streeted number 496 00:26:21,520 --> 00:26:23,040 Speaker 1: of firms, so he's got a good feel for here, 497 00:26:23,080 --> 00:26:26,679 Speaker 1: what moves this U S Dollar relative to other currencies, 498 00:26:27,119 --> 00:26:31,119 Speaker 1: UM and economic winds that push these currencies, uh, you know, 499 00:26:31,359 --> 00:26:33,920 Speaker 1: from up and down on a global scale. So I 500 00:26:33,920 --> 00:26:36,840 Speaker 1: always love talking to f X people just kind of 501 00:26:36,880 --> 00:26:40,359 Speaker 1: market rolling over here, uh cretty. So a lot of 502 00:26:40,400 --> 00:26:43,520 Speaker 1: folks not liking what they're seeing, not feeling like we've 503 00:26:43,560 --> 00:26:45,720 Speaker 1: seen a bottom in this market. Got some more room 504 00:26:45,800 --> 00:26:50,080 Speaker 1: to go. We have this fedtle reserve of course raising rates. Uh. 505 00:26:50,119 --> 00:26:51,760 Speaker 1: And again a little bit of concern coming out of 506 00:26:51,800 --> 00:26:53,880 Speaker 1: these retailers over the last three or four days as 507 00:26:53,920 --> 00:26:57,280 Speaker 1: it relates to kind of the inflation impact on not 508 00:26:57,359 --> 00:27:01,960 Speaker 1: only their business but on the consumers. Thanks for listening 509 00:27:01,960 --> 00:27:05,480 Speaker 1: to the Bloomberg Markets podcast. You can subscribe and listen 510 00:27:05,520 --> 00:27:09,800 Speaker 1: to interviews with Apple Podcasts or whatever podcast platform you prefer. 511 00:27:10,160 --> 00:27:14,160 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller three. 512 00:27:14,760 --> 00:27:17,359 Speaker 1: On Fall Sweeney, I'm on Twitter at pt Sweeney. Before 513 00:27:17,400 --> 00:27:20,240 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 514 00:27:20,320 --> 00:27:20,560 Speaker 1: Radio