1 00:00:02,440 --> 00:00:06,800 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,800 --> 00:00:14,920 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Paul Sweeney, along 3 00:00:14,920 --> 00:00:17,280 Speaker 2: with Tom Keene. Join us each day for insight from 4 00:00:17,280 --> 00:00:20,800 Speaker 2: the best in economics, geopolitics, finance, and investment. You can 5 00:00:20,840 --> 00:00:24,480 Speaker 2: also watch the show live on YouTube. Visit the Bloomberg 6 00:00:24,480 --> 00:00:27,760 Speaker 2: Podcast channel on YouTube to see the show weekday mornings 7 00:00:27,800 --> 00:00:30,240 Speaker 2: from seven to ten Eastern from our global headquarters in 8 00:00:30,320 --> 00:00:33,480 Speaker 2: New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:33,640 --> 00:00:36,800 Speaker 2: or anywhere else you listen, and as always on Bloomberg Radio, 10 00:00:36,880 --> 00:00:39,839 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business app. All right, 11 00:00:39,880 --> 00:00:41,920 Speaker 2: let's go to a pro here. Quincy Crosby, chief Global 12 00:00:41,960 --> 00:00:44,680 Speaker 2: strategist at olpl Financial. Quincy, thank you so much for 13 00:00:44,760 --> 00:00:48,400 Speaker 2: joining us here. What do you make of what transpired 14 00:00:48,479 --> 00:00:51,760 Speaker 2: from the close on Thursday to where we are here? 15 00:00:54,080 --> 00:00:56,520 Speaker 3: Well, you know, you could attribute it to the. 16 00:00:58,840 --> 00:01:02,400 Speaker 4: Unemployment number jumping. Its skipped four point two, went right 17 00:01:02,440 --> 00:01:05,720 Speaker 4: to four point three. Expectations were that it would remain 18 00:01:05,760 --> 00:01:09,759 Speaker 4: at four point one, and there have been concerns. Even 19 00:01:10,080 --> 00:01:15,320 Speaker 4: Powell mentioned at the press conference that they are I 20 00:01:15,400 --> 00:01:17,720 Speaker 4: don't know if you use the word monitoring, but it 21 00:01:17,800 --> 00:01:22,360 Speaker 4: was close to that the employment landscape, and he has 22 00:01:22,440 --> 00:01:27,319 Speaker 4: been invoking the maximum employment mandate over and over again 23 00:01:28,400 --> 00:01:32,280 Speaker 4: over the last month or two months. And now he's 24 00:01:32,280 --> 00:01:35,679 Speaker 4: got a situation in which the market believes that the 25 00:01:35,920 --> 00:01:38,960 Speaker 4: push in the unemployment rate, which in and of itself 26 00:01:39,000 --> 00:01:41,320 Speaker 4: isn't But he even talked about four point one was 27 00:01:41,360 --> 00:01:44,920 Speaker 4: still a strong, a resilient labor market. While we jump 28 00:01:45,000 --> 00:01:48,480 Speaker 4: up to four point three. The question is is this 29 00:01:48,640 --> 00:01:52,240 Speaker 4: the harbinger of a labor market that is going to 30 00:01:52,360 --> 00:01:55,960 Speaker 4: weaken at a faster clip, because that's what the historical 31 00:01:56,120 --> 00:02:00,320 Speaker 4: pattern suggests that once you start moving up higher, it 32 00:02:00,400 --> 00:02:03,080 Speaker 4: continues to move up higher. The other thing with the 33 00:02:03,120 --> 00:02:08,160 Speaker 4: initial unemployment claims and also the continuing claims, and that 34 00:02:08,360 --> 00:02:13,320 Speaker 4: is worrisome because you can argue about the participation rate 35 00:02:13,680 --> 00:02:16,720 Speaker 4: all of that, but when you see that people cannot 36 00:02:16,760 --> 00:02:20,040 Speaker 4: get jobs, it's harder and harder for them to get jobs. 37 00:02:20,680 --> 00:02:23,640 Speaker 4: You have to look at this employment landscape and wonder 38 00:02:24,240 --> 00:02:27,360 Speaker 4: is there something deeper going on? And you don't have 39 00:02:27,400 --> 00:02:30,600 Speaker 4: to be a PhD economist to figure it out. Yes, 40 00:02:30,680 --> 00:02:31,120 Speaker 4: there is. 41 00:02:31,600 --> 00:02:33,600 Speaker 3: Companies may not be late. 42 00:02:34,040 --> 00:02:36,760 Speaker 4: So therefore you had that and that was by the way, 43 00:02:36,760 --> 00:02:41,839 Speaker 4: in conjunction with the manufacturing ISM manufacturing report that has 44 00:02:42,360 --> 00:02:46,160 Speaker 4: been deteriorating. Even at a faster clip. Today we'll have 45 00:02:46,200 --> 00:02:48,760 Speaker 4: a bigger picture on the services you. 46 00:02:48,760 --> 00:02:51,120 Speaker 5: Have to get those ISM services at ten o'clock, which 47 00:02:51,280 --> 00:02:53,400 Speaker 5: I love that indicator as well. You know, it didn't 48 00:02:53,440 --> 00:02:55,920 Speaker 5: take Wall Street banks a lot to jump on this. 49 00:02:56,080 --> 00:02:59,000 Speaker 5: I mean, within like hours we got GP Morgan, we 50 00:02:59,080 --> 00:03:02,760 Speaker 5: have City Look, fifty basis point cuts for September and November, 51 00:03:02,760 --> 00:03:06,280 Speaker 5: and then twenty five basis point cut in December. Other 52 00:03:06,360 --> 00:03:08,560 Speaker 5: banks sort of added on to that, is are those 53 00:03:08,639 --> 00:03:09,840 Speaker 5: kind of calls justified? 54 00:03:12,040 --> 00:03:15,840 Speaker 4: They'll only be justified if the numbers continue to deteriorate. 55 00:03:16,480 --> 00:03:18,840 Speaker 4: You know, the mart the market has wanted as you know, 56 00:03:19,600 --> 00:03:22,840 Speaker 4: what was it seven rate cuts this year. They're lucky 57 00:03:23,000 --> 00:03:25,559 Speaker 4: and then they thought, oh, maybe we'll get one in September. 58 00:03:25,919 --> 00:03:28,480 Speaker 4: But the fact of the matter is that finally they 59 00:03:28,480 --> 00:03:32,960 Speaker 4: have an economic rationale for suggesting that the FED has 60 00:03:33,040 --> 00:03:35,680 Speaker 4: got to come in and offer more help, and the 61 00:03:35,680 --> 00:03:38,280 Speaker 4: Fed is going to have to do it. The worry is, 62 00:03:38,520 --> 00:03:41,920 Speaker 4: and you know, I don't need to be looking at 63 00:03:42,040 --> 00:03:44,839 Speaker 4: what they did wrong at the beginning. They waited too 64 00:03:44,920 --> 00:03:48,360 Speaker 4: long to raise rates and then they are looking as 65 00:03:48,400 --> 00:03:50,040 Speaker 4: if they're behind the curve already. 66 00:03:51,120 --> 00:03:54,960 Speaker 2: Emergency rate cuts. Put that into context. When do they happen? 67 00:03:55,000 --> 00:03:57,800 Speaker 2: Why do they happen? Should should emergency rate cut be 68 00:03:57,920 --> 00:03:58,480 Speaker 2: on the table? 69 00:04:00,400 --> 00:04:02,360 Speaker 4: Well, it should always be on the table, and it 70 00:04:02,400 --> 00:04:04,680 Speaker 4: is always on the table because the fake could come 71 00:04:04,680 --> 00:04:07,760 Speaker 4: in at any time to raise race or cut race. 72 00:04:08,240 --> 00:04:12,120 Speaker 4: And I think if they do see that the unemployment 73 00:04:12,240 --> 00:04:15,800 Speaker 4: rate is going to rise again, if we start to 74 00:04:15,800 --> 00:04:19,599 Speaker 4: see a host of data releases that suggest even more deterioration, 75 00:04:20,000 --> 00:04:22,080 Speaker 4: such as what we're going to have this morning with 76 00:04:22,200 --> 00:04:26,600 Speaker 4: the ISM service sector report, they may have to do that. 77 00:04:26,720 --> 00:04:29,200 Speaker 4: They don't want to do that. There's always a suggestion, 78 00:04:29,360 --> 00:04:32,320 Speaker 4: now this is what's ironic, that it'll scare the market. 79 00:04:32,360 --> 00:04:34,359 Speaker 4: We'll take a look at the market today, take a 80 00:04:34,400 --> 00:04:37,560 Speaker 4: look at it on Friday. The market is already scared. 81 00:04:37,720 --> 00:04:41,400 Speaker 4: They're not going to cave unless they really believe that 82 00:04:41,440 --> 00:04:43,279 Speaker 4: they are behind the curve. And the other thing is 83 00:04:43,320 --> 00:04:46,440 Speaker 4: there are rumors that at the last FED meeting there 84 00:04:46,440 --> 00:04:49,480 Speaker 4: were those who suggested that they needed to cut rates 85 00:04:49,480 --> 00:04:52,039 Speaker 4: at that meeting. The Fed is waiting an awfully long 86 00:04:52,120 --> 00:04:56,000 Speaker 4: time until September eighteenth. The market is clearly not waiting 87 00:04:56,040 --> 00:04:56,480 Speaker 4: that long. 88 00:04:56,960 --> 00:04:59,960 Speaker 5: So that brings the question into the actual market action. 89 00:05:00,480 --> 00:05:02,080 Speaker 5: If you look at the S and B futures, we're 90 00:05:02,080 --> 00:05:05,080 Speaker 5: down by three percent, NASA future is off by over four. 91 00:05:05,560 --> 00:05:08,080 Speaker 5: I mean, it's ugly, right, And this raises the question 92 00:05:08,120 --> 00:05:11,320 Speaker 5: of selling. The gets selling, like once you trigger stops, 93 00:05:11,360 --> 00:05:13,159 Speaker 5: then you have to sell more. You have a systemic 94 00:05:13,240 --> 00:05:14,880 Speaker 5: funds that'll come in at nine point thirty when the 95 00:05:14,920 --> 00:05:16,680 Speaker 5: cash market opens, and they're going to have to be 96 00:05:16,680 --> 00:05:20,600 Speaker 5: selling more like CTA's. You have the en carry trade unwinding. 97 00:05:20,640 --> 00:05:24,000 Speaker 5: How much of that is playing in versus the fundamentals? 98 00:05:25,839 --> 00:05:27,840 Speaker 4: Well that you know this is this is the This 99 00:05:27,960 --> 00:05:30,520 Speaker 4: is the basic argument, because you can make an argument 100 00:05:30,560 --> 00:05:33,920 Speaker 4: on both sides of the equation. Right now, the labor 101 00:05:33,960 --> 00:05:37,000 Speaker 4: market with the numbers that we have, suggest that there 102 00:05:37,080 --> 00:05:41,000 Speaker 4: is still some resilience. The fact that the GDP report 103 00:05:41,120 --> 00:05:43,359 Speaker 4: for the second quarter, the first streat came in at 104 00:05:43,360 --> 00:05:45,760 Speaker 4: what was a two point eight percent, the fact that 105 00:05:45,839 --> 00:05:49,960 Speaker 4: consumers continue to spend. But the question is the market 106 00:05:50,080 --> 00:05:53,640 Speaker 4: is supposed looking ahead. That's the market's job. And by 107 00:05:53,680 --> 00:05:55,760 Speaker 4: the way, I should point out that the economists of 108 00:05:55,800 --> 00:05:59,320 Speaker 4: the FED should also be looking ahead, because that's the 109 00:05:59,480 --> 00:06:02,719 Speaker 4: a in this job as well. And then the concern 110 00:06:03,000 --> 00:06:07,480 Speaker 4: is that again selling begets selling, buying begets buying. That's 111 00:06:07,520 --> 00:06:10,400 Speaker 4: the way it is, you know, margins, margin calls are 112 00:06:10,440 --> 00:06:15,200 Speaker 4: coming in. It creates a war text of the Vix 113 00:06:15,320 --> 00:06:17,800 Speaker 4: climbing higher. We haven't seen the Vix climb this hire 114 00:06:17,880 --> 00:06:20,239 Speaker 4: in a long time. But the fact of the matter 115 00:06:20,400 --> 00:06:23,680 Speaker 4: is the FED is going to be very careful about 116 00:06:23,720 --> 00:06:28,159 Speaker 4: coming in and suggesting that we need an emergency move. However, 117 00:06:28,240 --> 00:06:30,640 Speaker 4: I do want to point this out. I will never 118 00:06:30,720 --> 00:06:35,240 Speaker 4: forget a Christmas Eve on twenty eighteen, as that market 119 00:06:35,360 --> 00:06:39,159 Speaker 4: just tanked and the FED that that December meeting raced 120 00:06:39,240 --> 00:06:41,960 Speaker 4: rates suggests that we would have rate hikes in twenty nineteen. 121 00:06:42,360 --> 00:06:46,920 Speaker 4: The first Friday in January, the FED called it off. 122 00:06:47,040 --> 00:06:50,520 Speaker 4: Remember that before the market opened, right, Fed's going to 123 00:06:50,520 --> 00:06:51,080 Speaker 4: be patient. 124 00:06:51,920 --> 00:06:55,120 Speaker 2: End of story, all right, Quincy, fantastic perspective. Thank you 125 00:06:55,120 --> 00:06:57,400 Speaker 2: so much for joining us, Quincy Crosby. She's the chief 126 00:06:57,640 --> 00:07:12,800 Speaker 2: global strategist for LPL Financial Boy, the economic narrative really 127 00:07:12,840 --> 00:07:15,960 Speaker 2: seemed to pivot on Friday, with that weeker than expected 128 00:07:16,040 --> 00:07:19,160 Speaker 2: jobs data really calling into question the health of the 129 00:07:19,320 --> 00:07:22,040 Speaker 2: US economy and of the US consumers. Let's get some 130 00:07:22,680 --> 00:07:24,680 Speaker 2: color on that right now. We can do that with 131 00:07:24,720 --> 00:07:28,720 Speaker 2: Angie Solonk, National director of Retail Services for the US 132 00:07:28,760 --> 00:07:31,360 Speaker 2: at Collier's. Angie, thanks so much for joining us here. 133 00:07:32,040 --> 00:07:35,440 Speaker 2: What's your view aerie of kind of the US consumer 134 00:07:36,000 --> 00:07:36,440 Speaker 2: right now? 135 00:07:37,440 --> 00:07:39,240 Speaker 6: You know, it's really interesting when we look at the 136 00:07:39,360 --> 00:07:42,800 Speaker 6: US consumer. I mean we've actually seen a slight you know, 137 00:07:42,920 --> 00:07:45,920 Speaker 6: gain compared to June twenty four to twenty three by 138 00:07:45,920 --> 00:07:49,520 Speaker 6: two point three percent, although from prior month it's been 139 00:07:49,680 --> 00:07:54,520 Speaker 6: relatively unchanged. Now I'm forecasting or we're forecasting at two 140 00:07:54,560 --> 00:07:57,120 Speaker 6: percent at your end, and we're trying to kind of 141 00:07:57,120 --> 00:07:59,720 Speaker 6: put our wrap our hands, you know, around what's going 142 00:07:59,760 --> 00:08:03,880 Speaker 6: on the consumer. Paul, I'll just let you know. You know, 143 00:08:03,920 --> 00:08:08,000 Speaker 6: we're really seeing the consumer having so much convenience and 144 00:08:08,080 --> 00:08:11,320 Speaker 6: ease of shopping with online or in store. I mean, 145 00:08:11,320 --> 00:08:14,960 Speaker 6: it's really a frictional less type of shopping experience, so 146 00:08:15,600 --> 00:08:16,559 Speaker 6: they're spending more. 147 00:08:17,320 --> 00:08:17,680 Speaker 3: All right. 148 00:08:17,720 --> 00:08:20,000 Speaker 2: So I'm not into this back to school thing because 149 00:08:20,040 --> 00:08:22,880 Speaker 2: my kids are grown. But my youngest he's gonna be 150 00:08:22,880 --> 00:08:24,720 Speaker 2: starting a sophomore year in college and we bought him 151 00:08:24,760 --> 00:08:27,600 Speaker 2: his first suit yesterday. So that is my back to 152 00:08:27,640 --> 00:08:31,320 Speaker 2: school shopping scenario. But Angie, I know it's a thing 153 00:08:32,120 --> 00:08:34,640 Speaker 2: for the retail space. Back to school. How's that looking 154 00:08:34,679 --> 00:08:35,000 Speaker 2: so far? 155 00:08:35,800 --> 00:08:37,320 Speaker 7: It's looking actually quite well. 156 00:08:37,720 --> 00:08:40,800 Speaker 6: You've actually seen an early start to back to school, 157 00:08:40,880 --> 00:08:43,560 Speaker 6: so right now it's about eight percent of compared to 158 00:08:43,920 --> 00:08:45,800 Speaker 6: what we've seen in the past. And I think people 159 00:08:45,880 --> 00:08:49,200 Speaker 6: are refreshing their closets, just like your son with this suit. 160 00:08:49,280 --> 00:08:52,040 Speaker 6: I mean, people are taking pride in what they're wearing. 161 00:08:52,800 --> 00:08:54,480 Speaker 5: Do you feel like we're going to see a value 162 00:08:54,520 --> 00:08:57,800 Speaker 5: war though for back to school? Similar to say fast 163 00:08:57,800 --> 00:09:01,079 Speaker 5: food chains like McDonalds, Burger King, Wendy's. It's all about 164 00:09:01,080 --> 00:09:04,560 Speaker 5: that value, right, how's that transmitting itself into the retail space. 165 00:09:05,679 --> 00:09:08,280 Speaker 6: Definitely, You're you know, you're still seeing value. Look, there's 166 00:09:08,280 --> 00:09:12,400 Speaker 6: still a discrepancy as it relates to wage in job 167 00:09:12,480 --> 00:09:16,200 Speaker 6: growth and unemployment. So people are still managing their funds, 168 00:09:16,360 --> 00:09:19,760 Speaker 6: they're being conscientious, they're taking their time and understanding how 169 00:09:19,840 --> 00:09:22,560 Speaker 6: much to buy, where to buy, and how much time 170 00:09:22,600 --> 00:09:26,160 Speaker 6: they're spending. So there is a value driven component, but 171 00:09:26,200 --> 00:09:29,480 Speaker 6: there still is that middle class and higher income you know, 172 00:09:29,559 --> 00:09:33,679 Speaker 6: where they're still spending and not thinking too much about it, 173 00:09:33,760 --> 00:09:36,520 Speaker 6: you know, So there is still that hyper spend occurring. 174 00:09:37,200 --> 00:09:38,760 Speaker 2: How about it? Some of it at the lower end. 175 00:09:38,760 --> 00:09:40,880 Speaker 2: I'm thinking some of the dollar stores, how do they 176 00:09:40,920 --> 00:09:44,319 Speaker 2: fare in this environment where again we really see a 177 00:09:44,360 --> 00:09:50,080 Speaker 2: disparity in income and a disparity in retail spending, savings 178 00:09:50,160 --> 00:09:52,920 Speaker 2: rates at credit card delinquencies. How are the dollar stores 179 00:09:53,000 --> 00:09:54,440 Speaker 2: kind of seeing business today? 180 00:09:55,280 --> 00:09:56,800 Speaker 7: I think they're asally going to do quite well. 181 00:09:56,800 --> 00:09:58,880 Speaker 6: You know, with some changes that we've seen with ninety 182 00:09:58,920 --> 00:10:03,200 Speaker 6: nine cent store closing, there's still a need and therefore 183 00:10:03,240 --> 00:10:05,839 Speaker 6: you're going to see them actually kind of rechange their 184 00:10:05,880 --> 00:10:07,480 Speaker 6: merchandise and their product mix. 185 00:10:07,320 --> 00:10:08,000 Speaker 7: And their stores. 186 00:10:08,320 --> 00:10:11,280 Speaker 6: So with that, there will be an increase in terms 187 00:10:11,320 --> 00:10:14,880 Speaker 6: of their the people going into that store spending because 188 00:10:15,000 --> 00:10:18,000 Speaker 6: at this point, you know, with the ninety nine cent 189 00:10:18,120 --> 00:10:20,960 Speaker 6: no longer around, people have nowhere to go other than 190 00:10:21,000 --> 00:10:23,559 Speaker 6: they're going to maybe shop into the targets and walmarts. 191 00:10:23,760 --> 00:10:26,360 Speaker 6: But that ninety nine cent store and that dollar store 192 00:10:26,360 --> 00:10:29,800 Speaker 6: is still bringing value. So you're still able to buy produce, 193 00:10:29,800 --> 00:10:32,400 Speaker 6: You're still able to get you know, quick, you know, 194 00:10:32,520 --> 00:10:37,640 Speaker 6: grab and go items, batteries, household goods, napkins, et cetera. 195 00:10:37,800 --> 00:10:40,480 Speaker 6: So I think there's still definitely going to be an 196 00:10:40,520 --> 00:10:43,160 Speaker 6: increase foot traffic in those types of value stores. 197 00:10:43,920 --> 00:10:47,760 Speaker 5: What would you be telling what area of retail has 198 00:10:47,800 --> 00:10:50,160 Speaker 5: the most problems and how would you tell them to 199 00:10:50,200 --> 00:10:51,560 Speaker 5: solve that problem right now? 200 00:10:52,800 --> 00:10:55,440 Speaker 6: You know, when you look at retail overall, you know, 201 00:10:55,520 --> 00:10:58,880 Speaker 6: the grocery sector has been pretty steady. And what I 202 00:10:58,920 --> 00:11:02,000 Speaker 6: really have noticed in terms of the grocery spend is 203 00:11:02,040 --> 00:11:04,480 Speaker 6: that it's been seen in actually a very you know 204 00:11:04,679 --> 00:11:08,319 Speaker 6: slide increase about one point seven percent. And so when 205 00:11:08,320 --> 00:11:09,920 Speaker 6: you stop and think about that, it has to do 206 00:11:10,040 --> 00:11:13,480 Speaker 6: with a the cost of the product and the goods 207 00:11:13,520 --> 00:11:16,360 Speaker 6: within the stores. Also, I think if you're stopping think 208 00:11:16,400 --> 00:11:18,360 Speaker 6: about it, you can go into a quick service. Yes, 209 00:11:18,400 --> 00:11:21,200 Speaker 6: it's a little more expensive in terms of you know, 210 00:11:21,360 --> 00:11:24,480 Speaker 6: the per person spend, but if you look at that 211 00:11:24,679 --> 00:11:28,160 Speaker 6: versus you know, grocery, cooking at home, making your meals, 212 00:11:28,520 --> 00:11:31,120 Speaker 6: doing the dishes, all of that, it might be a 213 00:11:31,160 --> 00:11:34,840 Speaker 6: little more convenience. So, you know, the quick serve restaurants, 214 00:11:34,840 --> 00:11:38,719 Speaker 6: the fast food restaurants, although seeing a bit of a slowdown, 215 00:11:38,840 --> 00:11:40,800 Speaker 6: it's still you know, there's still seeing. 216 00:11:40,600 --> 00:11:41,640 Speaker 7: Quite a bit of pace. 217 00:11:42,480 --> 00:11:46,360 Speaker 6: We're actually from a retail perspective, in terms of leasing, 218 00:11:46,640 --> 00:11:50,679 Speaker 6: we're actually seeing more quick service restaurants looking for space, 219 00:11:51,120 --> 00:11:55,280 Speaker 6: looking to expand, So it hasn't slowed down in that part. 220 00:11:55,280 --> 00:11:58,160 Speaker 6: But I would say groceries starting to still trying to 221 00:11:58,160 --> 00:11:59,600 Speaker 6: figure itself out. 222 00:12:00,000 --> 00:12:02,839 Speaker 2: About luxury. We've seen some of the luxury retailers report 223 00:12:02,880 --> 00:12:07,280 Speaker 2: some sluggish results of the most recent quarter, citing in part, 224 00:12:08,080 --> 00:12:10,600 Speaker 2: you know, the sluggish Chinese economy and lack really of 225 00:12:10,640 --> 00:12:14,600 Speaker 2: outward bound travel by Chinese. How's the luxury space look 226 00:12:14,640 --> 00:12:14,800 Speaker 2: to you? 227 00:12:15,800 --> 00:12:16,800 Speaker 7: It has slowed down. 228 00:12:17,000 --> 00:12:19,559 Speaker 6: I would say that it's slowed down if you're comparing 229 00:12:19,640 --> 00:12:23,520 Speaker 6: it to kind of the peak we had, you know, right, 230 00:12:24,080 --> 00:12:27,160 Speaker 6: you know, during COVID and slightly after that. I wouldn't 231 00:12:27,200 --> 00:12:32,200 Speaker 6: say it's completely you know, it's less than twenty nineteen. 232 00:12:32,320 --> 00:12:35,400 Speaker 6: It's it's still you know, ramping, it's still in I 233 00:12:35,400 --> 00:12:37,920 Speaker 6: would say, you know, maybe fifteen to twenty percent from 234 00:12:37,920 --> 00:12:41,240 Speaker 6: twenty nineteen. So we are seeing a slowdown there. Definitely 235 00:12:41,320 --> 00:12:44,000 Speaker 6: has been a slowdown. As it relates to just the overseas. 236 00:12:44,679 --> 00:12:48,160 Speaker 6: I think people are still looking at luxury. They've kind 237 00:12:48,160 --> 00:12:51,720 Speaker 6: of spent during the last few years and of you know, 238 00:12:52,559 --> 00:12:55,839 Speaker 6: kind of identified and purchased what they needed. So we 239 00:12:56,280 --> 00:12:58,320 Speaker 6: are seeing a bit of that occurring at the moment. 240 00:12:58,400 --> 00:13:00,400 Speaker 6: And also I think we're seeing, you know, kind of 241 00:13:00,400 --> 00:13:05,080 Speaker 6: that Chinese Asian consumer going elsewhere to spend in luxury. 242 00:13:05,120 --> 00:13:06,679 Speaker 7: Maybe not in the US. 243 00:13:07,000 --> 00:13:10,640 Speaker 5: That's interesting, Yeah, exactly like Chinese going to Japan. I 244 00:13:10,679 --> 00:13:12,679 Speaker 5: think because of that exchange rate, you have to wonder 245 00:13:12,679 --> 00:13:15,240 Speaker 5: what happens at the last couple of days. But I 246 00:13:15,280 --> 00:13:16,960 Speaker 5: want to just I know this might be a little 247 00:13:16,960 --> 00:13:19,440 Speaker 5: off field for a second, but in terms of EVS, 248 00:13:19,520 --> 00:13:21,679 Speaker 5: we've had a lot of the Carmakers report, and it's 249 00:13:21,679 --> 00:13:24,600 Speaker 5: been really ugly out there, particularly when it comes to 250 00:13:24,720 --> 00:13:27,480 Speaker 5: sales weather in China or in Europe when it comes 251 00:13:27,520 --> 00:13:32,640 Speaker 5: to EVS. However, can retailers though capitalize on this shift 252 00:13:32,679 --> 00:13:35,319 Speaker 5: that we are eventually going to see. 253 00:13:36,080 --> 00:13:37,960 Speaker 6: I would say yes for a couple of reasons. So 254 00:13:38,040 --> 00:13:40,319 Speaker 6: what was really interesting when we started digging into these 255 00:13:40,400 --> 00:13:45,080 Speaker 6: numbers was when we saw that foot traffic, so the 256 00:13:45,160 --> 00:13:49,560 Speaker 6: actual footfall in stores was starting to you know draw 257 00:13:49,920 --> 00:13:52,960 Speaker 6: We started to dig why why is this happening? This 258 00:13:53,000 --> 00:13:56,480 Speaker 6: is really for your large major you know retailers, big 259 00:13:56,520 --> 00:14:00,120 Speaker 6: box retailers. Well, because they made it so easy to 260 00:14:00,160 --> 00:14:04,640 Speaker 6: shop online, pickup in store, curbside pickup et cetera. They 261 00:14:04,640 --> 00:14:07,080 Speaker 6: started to notice that people were not spending as much 262 00:14:07,160 --> 00:14:11,040 Speaker 6: time in the store. So by putting a or getting 263 00:14:11,080 --> 00:14:15,480 Speaker 6: involved in that kind of retail or EV sector, you're 264 00:14:15,520 --> 00:14:19,400 Speaker 6: really creating another reason for that consumer to come into 265 00:14:19,440 --> 00:14:21,120 Speaker 6: the store and spend more time. 266 00:14:21,200 --> 00:14:23,680 Speaker 7: So it's not a fifteen minute in and out. 267 00:14:23,720 --> 00:14:26,640 Speaker 6: But if I'm charging my car, if you have an 268 00:14:26,640 --> 00:14:29,600 Speaker 6: EV car or vehicle, you can actually go in and 269 00:14:29,640 --> 00:14:31,760 Speaker 6: you're going to you know, you may start buying things 270 00:14:31,800 --> 00:14:34,760 Speaker 6: that you didn't even think about. So you're spending thirty minutes, 271 00:14:34,800 --> 00:14:37,200 Speaker 6: forty five minutes, or even an hour in a store, 272 00:14:37,440 --> 00:14:41,160 Speaker 6: you're going to be accumulating just things to purchase. 273 00:14:41,320 --> 00:14:42,880 Speaker 7: So I think it's a little bit of that. 274 00:14:43,000 --> 00:14:46,480 Speaker 6: Plus it could be another additional revenue channel. They may 275 00:14:46,520 --> 00:14:49,680 Speaker 6: be able to advertise specials. If you're sitting in your 276 00:14:49,720 --> 00:14:52,440 Speaker 6: car charging your car and waiting, you might see something 277 00:14:52,480 --> 00:14:54,720 Speaker 6: that pops up that's going to drive you into the 278 00:14:54,760 --> 00:14:55,840 Speaker 6: store to make a purchase. 279 00:14:56,200 --> 00:14:58,360 Speaker 2: Angie, thanks so much for joining us. Always appreciate getting 280 00:14:58,400 --> 00:15:01,400 Speaker 2: your thoughts on the retail side of the business. Anchie Slank, 281 00:15:01,720 --> 00:15:04,080 Speaker 2: National director of Retail Services for the United States for 282 00:15:04,160 --> 00:15:11,320 Speaker 2: Colliers Lissa Auto Joints is here, head of TMT Research, 283 00:15:11,680 --> 00:15:15,000 Speaker 2: simply Global Visible Alpha. Melissa, we're just hearing Lissa Miteo 284 00:15:15,120 --> 00:15:17,280 Speaker 2: rattle off some of these pre market trading numbers for 285 00:15:17,320 --> 00:15:21,440 Speaker 2: somebody's big tech names like Apple, like Nvidia. Are these 286 00:15:21,640 --> 00:15:24,400 Speaker 2: entry points? I think if you had told somebody, you know, 287 00:15:24,680 --> 00:15:27,600 Speaker 2: Thursday afternoon, hey, I can give you in Nvidia thirty 288 00:15:27,600 --> 00:15:30,680 Speaker 2: percent off its recent highs, I think most of the 289 00:15:30,720 --> 00:15:33,080 Speaker 2: people in the mark would jump at that opportunity. You 290 00:15:33,160 --> 00:15:35,240 Speaker 2: have that opportunity here pre market. What do you think 291 00:15:35,240 --> 00:15:36,520 Speaker 2: about some of these big tech names? 292 00:15:36,600 --> 00:15:40,400 Speaker 1: Melissa, good morning, Thank you. It's a wild one on 293 00:15:40,440 --> 00:15:45,080 Speaker 1: this Monday morning. You know, it's all about expectations, and 294 00:15:45,200 --> 00:15:49,520 Speaker 1: Nvidia is certainly a company that has very high expectations. 295 00:15:50,360 --> 00:15:55,480 Speaker 1: So it's critical to believe in the direction of that 296 00:15:55,560 --> 00:15:58,600 Speaker 1: company and where it's going. And the Blackwell series is 297 00:15:58,680 --> 00:16:02,360 Speaker 1: expected over the next couple of years to generate sales 298 00:16:02,560 --> 00:16:05,600 Speaker 1: of over one hundred million dollars one hundred billion dollars, 299 00:16:06,120 --> 00:16:10,360 Speaker 1: so you know, ultimately the company has to deliver on 300 00:16:10,400 --> 00:16:14,320 Speaker 1: those fundamentals for the expectations to meet where they are. 301 00:16:14,880 --> 00:16:16,840 Speaker 5: So does that mean that if we have reports there 302 00:16:16,840 --> 00:16:20,440 Speaker 5: were reports that in Nvidia had some production delays. Okay, 303 00:16:20,440 --> 00:16:22,680 Speaker 5: if they can't produce the stuff, even if the demand 304 00:16:22,760 --> 00:16:25,640 Speaker 5: is there, they can't book the revenue. So could part 305 00:16:25,640 --> 00:16:28,320 Speaker 5: of the Sellouf and Nvidia actually be fundamental at this 306 00:16:28,360 --> 00:16:30,600 Speaker 5: point or no, it may be. 307 00:16:30,720 --> 00:16:32,960 Speaker 1: I mean, we haven't had an official statement from the 308 00:16:33,040 --> 00:16:37,160 Speaker 1: company to verify that, but that that's certainly something that 309 00:16:37,200 --> 00:16:40,840 Speaker 1: could impact their numbers. 310 00:16:40,960 --> 00:16:43,520 Speaker 2: Let's just kind of look into review mirror just a 311 00:16:43,560 --> 00:16:45,960 Speaker 2: little bit here some of the recent earnings we've had 312 00:16:46,080 --> 00:16:51,880 Speaker 2: out of some of the tech folks. Apple generally in line, Microsoft, Amazon, Alphabet, Netflix, 313 00:16:52,280 --> 00:16:54,640 Speaker 2: I don't know. I mean, I guess this smidge disappointing 314 00:16:54,760 --> 00:16:56,160 Speaker 2: me a little bit. What do you make of the 315 00:16:56,200 --> 00:16:57,840 Speaker 2: earnings of these big tech names. 316 00:16:58,480 --> 00:17:02,760 Speaker 1: It's again it goes back to expectations coming into the quarter. 317 00:17:02,880 --> 00:17:06,199 Speaker 1: Expectations were high about both what the companies were going 318 00:17:06,240 --> 00:17:08,439 Speaker 1: to deliver and what the outlooks were going to be like. 319 00:17:08,560 --> 00:17:11,119 Speaker 1: So companies, in order to generate an additional leg of 320 00:17:11,160 --> 00:17:15,080 Speaker 1: alpha to justify the valuations and what's actually priced into 321 00:17:15,080 --> 00:17:19,040 Speaker 1: the stock, companies needed to exceed that. And if they're not, 322 00:17:19,520 --> 00:17:22,959 Speaker 1: then it's disappointing to the market, it's disappointing to investors 323 00:17:23,000 --> 00:17:26,439 Speaker 1: and they will look for opportunities elsewhere where they can 324 00:17:26,440 --> 00:17:28,640 Speaker 1: get a better valuation and more upside. 325 00:17:28,880 --> 00:17:32,560 Speaker 5: How do you think technology companies need to relate to 326 00:17:32,600 --> 00:17:37,560 Speaker 5: the market their capex investment versus their profitability? Like Meta 327 00:17:37,600 --> 00:17:40,240 Speaker 5: clearly did a good job of that, Like they show 328 00:17:40,320 --> 00:17:42,640 Speaker 5: that AI was helping to impact the amount of money 329 00:17:42,640 --> 00:17:45,359 Speaker 5: they could make per ad that they sold. How do 330 00:17:45,440 --> 00:17:48,280 Speaker 5: other companies that don't have that avenue deal with that? 331 00:17:49,560 --> 00:17:49,760 Speaker 3: Yeah? 332 00:17:49,800 --> 00:17:53,920 Speaker 1: Absolutely, This cash dimension to the megacaps is an absolutely 333 00:17:53,960 --> 00:17:57,920 Speaker 1: critical one because we've been in an environment where rates 334 00:17:57,960 --> 00:18:00,240 Speaker 1: have been rising. So if you're sitting on cash, your 335 00:18:00,400 --> 00:18:03,440 Speaker 1: cash is getting a really nice return. So it gives 336 00:18:03,480 --> 00:18:06,119 Speaker 1: companies a lot more freedom to invest it, and it 337 00:18:06,160 --> 00:18:09,920 Speaker 1: makes that cash flow potential a lot stronger. And the 338 00:18:10,640 --> 00:18:15,600 Speaker 1: megacap tech companies have enormous cash positions. So now in 339 00:18:15,640 --> 00:18:20,119 Speaker 1: an environment where that is potentially reversing, coupled with the 340 00:18:20,160 --> 00:18:26,120 Speaker 1: fact that they're accelerating capex, it presents some interesting questions 341 00:18:26,119 --> 00:18:28,200 Speaker 1: about what their cash flow positions are going to look 342 00:18:28,240 --> 00:18:30,199 Speaker 1: like over the next twelve to twenty four months. 343 00:18:31,600 --> 00:18:34,159 Speaker 2: So, Melissa, given some of the pullback we've seen in 344 00:18:34,160 --> 00:18:36,200 Speaker 2: some of these tech names, what are some of the 345 00:18:36,640 --> 00:18:39,320 Speaker 2: best opportunities in your coverage universe. 346 00:18:41,359 --> 00:18:41,840 Speaker 3: Overall. 347 00:18:42,000 --> 00:18:45,040 Speaker 1: One of the things we're looking at really carefully is 348 00:18:45,960 --> 00:18:50,359 Speaker 1: what is going to really trigger broad adoption of generative AI. 349 00:18:50,640 --> 00:18:55,280 Speaker 1: We know there's an an AI revolution out there happening, 350 00:18:56,000 --> 00:19:00,119 Speaker 1: but there needs to be a trigger point where these 351 00:19:00,240 --> 00:19:04,320 Speaker 1: companies are either internally adopting generative AI in a way 352 00:19:04,320 --> 00:19:08,720 Speaker 1: that's giving them a competitive advantage, or they're crafting and 353 00:19:08,800 --> 00:19:14,360 Speaker 1: creating an application that is going to revolutionize the way 354 00:19:14,520 --> 00:19:19,560 Speaker 1: users enterprises interact and become more productive. So that is 355 00:19:19,600 --> 00:19:22,760 Speaker 1: really the critical nexus point. I think, you know, where 356 00:19:23,160 --> 00:19:26,119 Speaker 1: we're looking at what companies are actually going to be 357 00:19:26,160 --> 00:19:28,520 Speaker 1: doing that, And that's really I think where we are 358 00:19:28,560 --> 00:19:32,000 Speaker 1: with the generative AI revolution right now and where megacap 359 00:19:32,640 --> 00:19:36,520 Speaker 1: and just tech stocks in general really are going going 360 00:19:36,560 --> 00:19:38,600 Speaker 1: into the second half of the year and next year. 361 00:19:39,440 --> 00:19:41,920 Speaker 5: So anecdotally, let me tell you the story. So yesterday, 362 00:19:42,000 --> 00:19:43,840 Speaker 5: my best friends moving to Costa Rico or their family 363 00:19:43,880 --> 00:19:45,440 Speaker 5: for a year. So it's like a going away party, 364 00:19:45,520 --> 00:19:48,280 Speaker 5: YadA YadA. One of my friends is a consultant. One 365 00:19:48,320 --> 00:19:51,119 Speaker 5: of my other friends also has deeply involved in the market, 366 00:19:51,119 --> 00:19:54,360 Speaker 5: and guess what the conversation was between the two of them, Yes, 367 00:19:54,880 --> 00:19:59,160 Speaker 5: how much AWS comprises their budget and how much that's 368 00:19:59,200 --> 00:20:01,639 Speaker 5: going to continue to go with AI and doubt that 369 00:20:01,640 --> 00:20:03,640 Speaker 5: they're really going to see the benefit of that kind 370 00:20:03,640 --> 00:20:06,240 Speaker 5: of money. And I'm wondering that at what point to customers, 371 00:20:06,600 --> 00:20:08,720 Speaker 5: Like one of my friends pushes back and says, you 372 00:20:08,800 --> 00:20:11,360 Speaker 5: know what, Amazon Web Service, I'm not going to pay 373 00:20:11,400 --> 00:20:13,240 Speaker 5: you that money. I don't want to do that. I 374 00:20:13,240 --> 00:20:15,359 Speaker 5: don't see the benefit to AI in that sense. 375 00:20:17,440 --> 00:20:20,040 Speaker 1: That's a million dollar question. I mean, Amazon was an 376 00:20:20,040 --> 00:20:26,280 Speaker 1: interesting one this quarter because their AWS business was very robust. 377 00:20:26,320 --> 00:20:29,840 Speaker 1: It was it basically carried the whole company. It beat 378 00:20:29,840 --> 00:20:32,680 Speaker 1: the quarter, and it had a strong outlook. Their margin 379 00:20:33,440 --> 00:20:37,760 Speaker 1: beat by over three hundred basis points. There was an 380 00:20:37,760 --> 00:20:40,240 Speaker 1: adjustment in there of two hundred basis point, but still 381 00:20:40,280 --> 00:20:45,159 Speaker 1: it came in over thirty five percent. But when we 382 00:20:45,200 --> 00:20:48,080 Speaker 1: look at the other side of the Amazon's story on 383 00:20:48,119 --> 00:20:52,600 Speaker 1: the North America retail margin that came in soft. That 384 00:20:52,680 --> 00:20:55,280 Speaker 1: business coming into the quarter was expected to generate a 385 00:20:55,320 --> 00:20:58,040 Speaker 1: five point nine percent margin, but it came in a 386 00:20:58,119 --> 00:21:01,080 Speaker 1: five point seven percent, and the company said, well, you know, 387 00:21:01,240 --> 00:21:04,760 Speaker 1: as we look out at our guidance, we you know, 388 00:21:05,040 --> 00:21:10,840 Speaker 1: kind of don't really see the profitability coming in that strong, 389 00:21:11,040 --> 00:21:16,159 Speaker 1: and it actually came in below where the consensus was. 390 00:21:16,200 --> 00:21:20,240 Speaker 1: Consensus was about fifteen point seven billion dollars in operating 391 00:21:20,280 --> 00:21:23,320 Speaker 1: profit and they're the top of their range was around 392 00:21:23,320 --> 00:21:26,520 Speaker 1: fifteen billion. So it was like, whoa wait a second. 393 00:21:26,840 --> 00:21:30,000 Speaker 1: You know, you know you've got AWS doing really well, 394 00:21:30,040 --> 00:21:32,760 Speaker 1: but what else is in there that's potentially diluting it? 395 00:21:32,880 --> 00:21:37,040 Speaker 1: Or is AWS to your point, potentially slowing down a 396 00:21:37,080 --> 00:21:39,359 Speaker 1: little bit, or we're not seeing the profitability that we 397 00:21:39,440 --> 00:21:40,240 Speaker 1: have been seeing. 398 00:21:41,040 --> 00:21:42,760 Speaker 2: All right, this is a lot to think about here 399 00:21:42,800 --> 00:21:45,439 Speaker 2: in the big tech space. Melissa Auto, head of TMT 400 00:21:45,560 --> 00:22:00,480 Speaker 2: Research sp Global Visible Appha, we need some perspective on 401 00:22:00,520 --> 00:22:02,520 Speaker 2: this market in a big way. With some of those 402 00:22:02,800 --> 00:22:04,760 Speaker 2: futures readings at least was just reporting. And for that 403 00:22:04,800 --> 00:22:08,920 Speaker 2: we go to the lawn in Charlottesville, Virginia, Lori calvacin 404 00:22:08,960 --> 00:22:11,760 Speaker 2: ahead of US Equity Strategy RBC Capital Markets. If you 405 00:22:11,760 --> 00:22:15,040 Speaker 2: know what that means, you know, Laurie, what do you 406 00:22:15,119 --> 00:22:17,359 Speaker 2: make of the last couple of trading days here in 407 00:22:17,400 --> 00:22:20,520 Speaker 2: the futures market here today? The market kind of turned 408 00:22:20,560 --> 00:22:22,200 Speaker 2: on a dime there on that Job's number. 409 00:22:23,480 --> 00:22:25,600 Speaker 3: It did look I think the biggest takeaway we have 410 00:22:25,720 --> 00:22:28,080 Speaker 3: right now is people like Tom Keane going on vacation. 411 00:22:28,160 --> 00:22:30,000 Speaker 3: I think everyone's going to be afraid to take vacation 412 00:22:30,119 --> 00:22:33,440 Speaker 3: in August now. But I think the reality is that 413 00:22:33,560 --> 00:22:36,359 Speaker 3: we have to take the last couple days in context, 414 00:22:36,359 --> 00:22:38,560 Speaker 3: and that's what we really tried to remind people of 415 00:22:38,640 --> 00:22:41,280 Speaker 3: in our Weekly this morning. We're not sitting here saying 416 00:22:41,480 --> 00:22:44,960 Speaker 3: recession fears didn't escalate, that there weren't some signals in 417 00:22:45,000 --> 00:22:47,600 Speaker 3: the jobs report, in the ism report on Thursday, but 418 00:22:47,680 --> 00:22:49,720 Speaker 3: we do think people need to bear in mind that 419 00:22:49,760 --> 00:22:51,720 Speaker 3: we had I think I came up with like six 420 00:22:51,800 --> 00:22:55,040 Speaker 3: or seven different reasons that market should be selling off 421 00:22:55,119 --> 00:22:58,720 Speaker 3: right now. This includes valuations that were full, a tendency 422 00:22:58,720 --> 00:23:01,600 Speaker 3: for the stock market to sell off after first rate cuts, 423 00:23:01,600 --> 00:23:04,280 Speaker 3: a curse, and maybe we're pulling that forward. We had 424 00:23:04,440 --> 00:23:09,480 Speaker 3: extremely elevated positioning on the CFTC data for US equity futures, 425 00:23:09,600 --> 00:23:13,399 Speaker 3: Nasdaq futures S and P futures. Aai I was sending 426 00:23:13,480 --> 00:23:16,120 Speaker 3: us a cell signal. The last couple of weeks. We've 427 00:23:16,160 --> 00:23:19,280 Speaker 3: got the election, where dynamics are shifting that typically produces 428 00:23:19,280 --> 00:23:21,679 Speaker 3: a pullback in September, and maybe we're pulling that up. 429 00:23:21,720 --> 00:23:23,960 Speaker 3: And by the way, markets have been correlated with Trump 430 00:23:24,160 --> 00:23:27,880 Speaker 3: and now he's lagging behind Harris. So there's a lot 431 00:23:27,880 --> 00:23:30,280 Speaker 3: of stuff going on. And by way, add the facts 432 00:23:30,320 --> 00:23:34,480 Speaker 3: that seasonality the last five years has been really really 433 00:23:34,560 --> 00:23:37,440 Speaker 3: poor time to be in the stock market August through October, 434 00:23:37,480 --> 00:23:40,600 Speaker 3: I think, including specifically twenty twenty two and twenty twenty three. 435 00:23:40,880 --> 00:23:43,119 Speaker 3: So there have been a lot of reasons this market 436 00:23:43,160 --> 00:23:45,560 Speaker 3: has needed to take a bit of a pullback in here. 437 00:23:46,000 --> 00:23:48,400 Speaker 5: So Lorii, it's Alex and I love reading all your notes, 438 00:23:48,480 --> 00:23:50,440 Speaker 5: is like first must read on Monday. Got to set 439 00:23:50,480 --> 00:23:53,360 Speaker 5: you up right. When does though, a healthy correction become 440 00:23:53,359 --> 00:23:54,320 Speaker 5: an unhealthy one? 441 00:23:56,040 --> 00:23:58,160 Speaker 3: So I think the biggest thing I'm worried about in here, 442 00:23:58,200 --> 00:24:00,560 Speaker 3: and I'm trying to tell everybody keep it calm head today, 443 00:24:00,680 --> 00:24:02,639 Speaker 3: Like I do think we need to dig into the 444 00:24:02,640 --> 00:24:05,880 Speaker 3: BLS report a bit more, you know, find out exactly 445 00:24:05,880 --> 00:24:08,760 Speaker 3: what the weather impact was there. But I do think 446 00:24:08,800 --> 00:24:11,600 Speaker 3: that the rule of thumb I always use is five 447 00:24:11,640 --> 00:24:13,920 Speaker 3: to ten percent is a typical correction if you look 448 00:24:13,960 --> 00:24:16,280 Speaker 3: from peak, So that would kind of take us down 449 00:24:16,280 --> 00:24:18,359 Speaker 3: to sort of the fifty one hundred marks. We have 450 00:24:18,359 --> 00:24:21,080 Speaker 3: to watch markets closely in here. If you look at 451 00:24:21,119 --> 00:24:23,760 Speaker 3: sort of the ten to twenty percent range, that's typically 452 00:24:23,840 --> 00:24:26,000 Speaker 3: you know, in the coast GFC world where the growth 453 00:24:26,080 --> 00:24:27,280 Speaker 3: scares settle in. 454 00:24:27,400 --> 00:24:27,520 Speaker 4: Now. 455 00:24:27,560 --> 00:24:29,880 Speaker 3: Twenty twenty two was a little bit different. It wasn't 456 00:24:29,880 --> 00:24:32,840 Speaker 3: a recession. We fell twenty five percent, but generally anything 457 00:24:32,840 --> 00:24:35,159 Speaker 3: more than twenty percent is an actual recession. And I 458 00:24:35,160 --> 00:24:38,399 Speaker 3: think one of the reasons why it's so jarring, you know, 459 00:24:38,480 --> 00:24:41,119 Speaker 3: kind of the move from Wednesday to Thursday Friday, is 460 00:24:41,119 --> 00:24:43,800 Speaker 3: that if you go back to corporate earnings and equity investors, 461 00:24:43,800 --> 00:24:45,920 Speaker 3: we've all had our heads stuck in these corporate reports 462 00:24:46,000 --> 00:24:48,359 Speaker 3: the last couple of weeks. What we're seeing in that 463 00:24:48,440 --> 00:24:51,200 Speaker 3: jobs data, it's not really syncing up with what we're 464 00:24:51,240 --> 00:24:53,359 Speaker 3: hearing from companies right now. So I do think we 465 00:24:53,440 --> 00:24:55,360 Speaker 3: need to sort of take it one step at a time. 466 00:24:55,400 --> 00:24:57,800 Speaker 2: In here, Llie, what do you think the Federal Reserve 467 00:24:57,880 --> 00:25:00,160 Speaker 2: is going to do here? There were some discussion over 468 00:25:00,200 --> 00:25:03,680 Speaker 2: the weekend, maybe an emergency rate cut. What do you 469 00:25:03,680 --> 00:25:04,560 Speaker 2: think they're going to do here? 470 00:25:06,200 --> 00:25:08,080 Speaker 3: So I have no idea, you know, I think we 471 00:25:08,119 --> 00:25:10,159 Speaker 3: have to talk to the rates crop, we have to 472 00:25:10,200 --> 00:25:12,200 Speaker 3: talk We have to talk to some of the reporters, 473 00:25:12,200 --> 00:25:13,680 Speaker 3: but the true that they don't. And you know, I 474 00:25:13,720 --> 00:25:16,800 Speaker 3: get a little bit of frustrated with the fed guessing 475 00:25:16,840 --> 00:25:18,920 Speaker 3: game that people play on Wall Street all the time. 476 00:25:19,000 --> 00:25:21,000 Speaker 3: I think, you know, they're looking at data, they're trying 477 00:25:21,000 --> 00:25:23,159 Speaker 3: to make the best decisions that they can. But what 478 00:25:23,200 --> 00:25:24,879 Speaker 3: I can tell you if this question has come up 479 00:25:24,920 --> 00:25:28,000 Speaker 3: a few times since Friday, and even frankly since the 480 00:25:28,000 --> 00:25:31,359 Speaker 3: CPI report, that's when my rate strategist was telling me 481 00:25:31,400 --> 00:25:34,359 Speaker 3: he was first getting questions about fifty basis points. And 482 00:25:34,400 --> 00:25:35,719 Speaker 3: you know, I kind of went and dug up some 483 00:25:35,760 --> 00:25:39,080 Speaker 3: of my work from SVB, looked through some of my files, 484 00:25:39,080 --> 00:25:41,119 Speaker 3: and we found that in at least kind of my 485 00:25:41,240 --> 00:25:43,880 Speaker 3: time on Wall Street I started in two thousand, when 486 00:25:43,920 --> 00:25:46,040 Speaker 3: you either get sort of the big chunky cuts or 487 00:25:46,080 --> 00:25:49,280 Speaker 3: you get the emergency cuts. You know, generally they don't 488 00:25:49,280 --> 00:25:51,920 Speaker 3: tend to happen in isolation. They tend to happen in bunches. 489 00:25:52,600 --> 00:25:55,000 Speaker 3: So I worry a little bit that if we get 490 00:25:55,000 --> 00:25:57,000 Speaker 3: some sort of emergency action, if we get some sort 491 00:25:57,000 --> 00:25:59,280 Speaker 3: of big chunky cut, it could further spook the market. 492 00:25:59,480 --> 00:26:01,600 Speaker 3: That's just my opinion, though there's certainly people out there 493 00:26:01,640 --> 00:26:02,840 Speaker 3: smarter on this than me. No. 494 00:26:02,920 --> 00:26:04,760 Speaker 5: I mean it's a fair point, and there are a 495 00:26:04,760 --> 00:26:06,439 Speaker 5: lot of people out there who are trade equities who 496 00:26:06,440 --> 00:26:09,520 Speaker 5: are in kind of your boat, right, So right, based 497 00:26:09,560 --> 00:26:12,240 Speaker 5: on all of that, when and where do you buy 498 00:26:12,280 --> 00:26:12,600 Speaker 5: the dip? 499 00:26:14,240 --> 00:26:15,760 Speaker 3: So I think we've got to take it one day 500 00:26:15,760 --> 00:26:17,200 Speaker 3: at a time, you know, I want to see sort 501 00:26:17,200 --> 00:26:19,119 Speaker 3: of how the market reacts if we get down to 502 00:26:19,160 --> 00:26:22,120 Speaker 3: that ten percent threshold, you know, I think that's sort 503 00:26:22,160 --> 00:26:23,480 Speaker 3: of where we could look to see if there's a 504 00:26:23,480 --> 00:26:25,560 Speaker 3: line in the sand. The other thing that's come up 505 00:26:25,600 --> 00:26:27,320 Speaker 3: a bit this morning is just you know, sort of 506 00:26:27,320 --> 00:26:31,880 Speaker 3: looking at valuations. You know, we've been very elevated. For example, 507 00:26:31,920 --> 00:26:34,600 Speaker 3: on those top ten names in the broader market in SMP, 508 00:26:34,840 --> 00:26:36,640 Speaker 3: you've been traded. You got up to thirty two times 509 00:26:36,680 --> 00:26:38,719 Speaker 3: on a medium pe. Actually it's now fallen down as 510 00:26:38,720 --> 00:26:40,800 Speaker 3: of last Wednesday to around twenty seven. Who knows where 511 00:26:40,800 --> 00:26:43,640 Speaker 3: it is today. Well, we'll see tomorrow. But I do 512 00:26:43,640 --> 00:26:45,720 Speaker 3: think you want to sort of watch for some additional 513 00:26:45,720 --> 00:26:48,119 Speaker 3: relief on those valuations. And I've noticed just in my 514 00:26:48,280 --> 00:26:50,159 Speaker 3: career a lot of times you don't have to get 515 00:26:50,200 --> 00:26:52,719 Speaker 3: super cheap on things for the bleeding to stop. Sometimes 516 00:26:52,760 --> 00:26:54,600 Speaker 3: you just need to go get back to the average, 517 00:26:54,640 --> 00:26:58,000 Speaker 3: get a little bit below average. Small caps, for example, 518 00:26:58,000 --> 00:27:00,840 Speaker 3: it's the opposite phenomenon right now. They keep getting up 519 00:27:00,840 --> 00:27:03,280 Speaker 3: to average and then the trade sort of peters out. 520 00:27:03,400 --> 00:27:05,399 Speaker 3: So I think watching when we get back to average 521 00:27:05,480 --> 00:27:07,480 Speaker 3: valuations on certain things is going to be critical. 522 00:27:08,320 --> 00:27:11,000 Speaker 2: So, Laurie, I'm just looking at Nvidia here in pre 523 00:27:11,080 --> 00:27:13,320 Speaker 2: market trading. The level suggests a you know, a thirty 524 00:27:13,359 --> 00:27:15,320 Speaker 2: percent pullback from its recent high. 525 00:27:15,600 --> 00:27:15,879 Speaker 4: Wow. 526 00:27:16,320 --> 00:27:18,280 Speaker 2: I mean, that's that gets your attention. I mean, if 527 00:27:18,280 --> 00:27:20,240 Speaker 2: you've told somebody you could buy I'll give you Nvidia 528 00:27:20,320 --> 00:27:22,400 Speaker 2: a thirty percent discount to it's high. If you said 529 00:27:22,400 --> 00:27:24,080 Speaker 2: that to them on Thursday, I think they grab it 530 00:27:24,160 --> 00:27:26,040 Speaker 2: both hands. What do you think about some of these 531 00:27:26,080 --> 00:27:28,879 Speaker 2: big tech names that have led the market higher in 532 00:27:28,880 --> 00:27:30,520 Speaker 2: which we're now taking the big brunt. 533 00:27:31,480 --> 00:27:33,879 Speaker 3: So when I think about the basket as a whole, 534 00:27:34,040 --> 00:27:37,040 Speaker 3: I think that we've just we've sort of hit evaluation ceiling. 535 00:27:37,080 --> 00:27:38,480 Speaker 3: I mentioned, you know, we kind of got up to 536 00:27:38,520 --> 00:27:40,480 Speaker 3: thirty two times on those top ten names on a 537 00:27:40,560 --> 00:27:42,960 Speaker 3: media and pe when it's it's hit sort of you know, 538 00:27:43,000 --> 00:27:45,400 Speaker 3: the upper twenties thirty in the past, that's really been 539 00:27:45,440 --> 00:27:47,199 Speaker 3: the ceiling. So I think we kind of hit the 540 00:27:47,200 --> 00:27:49,760 Speaker 3: ceiling on valuations. If you look at the growth rates 541 00:27:49,800 --> 00:27:52,080 Speaker 3: on the MAG seven versus the rest of the market, 542 00:27:52,320 --> 00:27:55,480 Speaker 3: We've had a accelerating growth advantage, and so you know, 543 00:27:55,520 --> 00:27:59,120 Speaker 3: those MAG seven names had just ferocious earnings growth last year, 544 00:27:59,160 --> 00:28:01,639 Speaker 3: but it's expected to celerate both this year and next. 545 00:28:02,359 --> 00:28:05,600 Speaker 3: It's hard to sustain the premium valuations when you've got 546 00:28:05,840 --> 00:28:08,600 Speaker 3: a growth rate that's accelerating off peak, even if everything 547 00:28:08,720 --> 00:28:12,040 Speaker 3: is fine. So I do think the valuations are really 548 00:28:12,040 --> 00:28:13,679 Speaker 3: the key to the story here. We just need to 549 00:28:13,680 --> 00:28:14,800 Speaker 3: see some additional relief. 550 00:28:15,320 --> 00:28:18,800 Speaker 5: The VIX has jumped an insane amount in two days. 551 00:28:19,440 --> 00:28:23,000 Speaker 5: The curve is super inverted at this point. What kind 552 00:28:23,000 --> 00:28:26,520 Speaker 5: of damage does a VIX that's moved the most in 553 00:28:26,600 --> 00:28:30,240 Speaker 5: thirty years due to the equity market. 554 00:28:30,840 --> 00:28:33,400 Speaker 3: So look, I think it's a question of where does 555 00:28:33,440 --> 00:28:36,760 Speaker 3: it settle out. You know, I actually called someone this morning. 556 00:28:36,800 --> 00:28:38,440 Speaker 3: I noted I got to the office pretty early and 557 00:28:38,520 --> 00:28:40,400 Speaker 3: it was around fifty and I called someone to say, 558 00:28:40,440 --> 00:28:42,600 Speaker 3: this is real, you know, you know, it's actually the 559 00:28:42,640 --> 00:28:44,520 Speaker 3: real data point. So I'm glad you guys are reporting 560 00:28:44,560 --> 00:28:47,680 Speaker 3: it as well, But I think the reality is it 561 00:28:47,800 --> 00:28:50,280 Speaker 3: just tells me that we have a sentiment problem in 562 00:28:50,320 --> 00:28:52,800 Speaker 3: the market, that sentiment needs to unwind. I mean, if 563 00:28:52,840 --> 00:28:55,400 Speaker 3: you look at the CFTC data alex, the broader US 564 00:28:55,480 --> 00:28:58,200 Speaker 3: equity futures positioning across all of the byside, so we 565 00:28:58,240 --> 00:29:01,640 Speaker 3: add up three different categories together, it's been sitting above 566 00:29:01,880 --> 00:29:05,360 Speaker 3: January twenty eighteen levels, it's been sitting above February twenty 567 00:29:05,400 --> 00:29:08,160 Speaker 3: twenty levels, and also above the levels of twenty twenty 568 00:29:08,160 --> 00:29:10,480 Speaker 3: one twenty twenty two, though frankly those weren't nearly as 569 00:29:10,560 --> 00:29:13,000 Speaker 3: high as what we saw back in the twenty eighteen 570 00:29:13,040 --> 00:29:15,440 Speaker 3: and twenty twenty time frames. So there has just been 571 00:29:15,840 --> 00:29:17,959 Speaker 3: you know, I don't think people necessarily have sounded raw 572 00:29:18,040 --> 00:29:19,520 Speaker 3: raw when you've talked to them, but if you've looked 573 00:29:19,560 --> 00:29:22,360 Speaker 3: at the actual positioning data in the futures market, you know, 574 00:29:22,640 --> 00:29:25,200 Speaker 3: these are some of the levels that have historically just 575 00:29:25,320 --> 00:29:27,680 Speaker 3: caused a tremendous amount of volatility, and we need to 576 00:29:27,760 --> 00:29:28,520 Speaker 3: let that play. 577 00:29:28,320 --> 00:29:29,440 Speaker 7: Out in here, all right. 578 00:29:29,440 --> 00:29:31,480 Speaker 2: Lori Calasina, thank you so much for joining us, for 579 00:29:31,480 --> 00:29:33,960 Speaker 2: you know, you're super busy today. Lori Calvalsina. She's head 580 00:29:33,960 --> 00:29:38,080 Speaker 2: of US equity strategy at RBC Capital Markets. This is 581 00:29:38,080 --> 00:29:42,240 Speaker 2: the Bloomberg Surveillance Podcast, bringing you the best in economics, geopolitics, finance, 582 00:29:42,280 --> 00:29:45,920 Speaker 2: and investment. You can also watch the show live on YouTube. 583 00:29:46,080 --> 00:29:48,760 Speaker 2: Visit the Bloomberg Podcast channel on YouTube to see the 584 00:29:48,800 --> 00:29:51,719 Speaker 2: show weekday mornings from seven to ten Eastern from our 585 00:29:51,760 --> 00:29:54,720 Speaker 2: global headquarters in New York City. Subscribe to the podcast 586 00:29:54,760 --> 00:29:57,920 Speaker 2: on Apple, Spotify, or anywhere else you listen, and as 587 00:29:57,960 --> 00:30:00,840 Speaker 2: always on Bloomberg Radio, the Bloomberg Terminal, and the Bloomberg 588 00:30:00,840 --> 00:30:08,600 Speaker 2: Business app m