1 00:00:02,600 --> 00:00:08,360 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. We've been bouncing around 2 00:00:08,360 --> 00:00:10,440 Speaker 1: on the equity side of things. It feels like there's 3 00:00:10,720 --> 00:00:12,680 Speaker 1: no real conviction in the trade. But I want to 4 00:00:12,720 --> 00:00:14,480 Speaker 1: see what Lazanne Saunders has to say about that. 5 00:00:14,720 --> 00:00:16,680 Speaker 2: Yeah, very pleased to have her back with us. She 6 00:00:16,880 --> 00:00:19,119 Speaker 2: is chief investment strategist at Charles Shaw and she joins 7 00:00:19,160 --> 00:00:20,600 Speaker 2: us from Florida. Lasanne, How are you. 8 00:00:21,480 --> 00:00:22,480 Speaker 3: I'm good. How are you too? 9 00:00:22,640 --> 00:00:24,640 Speaker 2: Yeah, we're doing pretty well. We're doing pretty well. We're 10 00:00:24,680 --> 00:00:27,480 Speaker 2: not in sunny Florida, but it is kind of jealous. 11 00:00:27,320 --> 00:00:29,040 Speaker 2: It's still sunny up here. 12 00:00:29,160 --> 00:00:29,800 Speaker 3: Come on down. 13 00:00:30,080 --> 00:00:33,680 Speaker 2: Yeah, We're happy, happy, especially in the winter. We'd love to. 14 00:00:34,360 --> 00:00:36,280 Speaker 2: I want to talk a little bit about some of 15 00:00:36,280 --> 00:00:38,880 Speaker 2: the stuff you sent our producer Paul ahead of time, 16 00:00:38,880 --> 00:00:41,880 Speaker 2: because I do find it interesting given that you argue 17 00:00:41,920 --> 00:00:43,479 Speaker 2: that the pullback that we've seen just in the last 18 00:00:43,560 --> 00:00:46,440 Speaker 2: couple of weeks, last two days nowith standing, has kind 19 00:00:46,440 --> 00:00:49,600 Speaker 2: of masked some underlying declines that we've seen take place 20 00:00:49,640 --> 00:00:51,640 Speaker 2: in some of the major indices. Talk a little bit 21 00:00:51,640 --> 00:00:52,599 Speaker 2: about what you're looking at. 22 00:00:53,440 --> 00:00:56,120 Speaker 3: Sure, So there has been this focus just on the 23 00:00:56,240 --> 00:00:58,560 Speaker 3: recent weakness and the five percent or so pullback that 24 00:00:58,600 --> 00:01:00,440 Speaker 3: we saw in the S and P and the NASA, 25 00:01:00,560 --> 00:01:02,840 Speaker 3: as if that was the only underlying pressure. But the 26 00:01:02,880 --> 00:01:06,360 Speaker 3: reality was, even when the market, the S and P, 27 00:01:06,440 --> 00:01:08,640 Speaker 3: the NASDAK were at our near all time highs, you 28 00:01:08,680 --> 00:01:11,319 Speaker 3: had had a lot of churn under the surface. As 29 00:01:11,360 --> 00:01:14,120 Speaker 3: of for instance, using the Nasdaq as admittedly the most 30 00:01:14,160 --> 00:01:17,280 Speaker 3: extreme example, again you haven't had more than a five 31 00:01:17,319 --> 00:01:19,600 Speaker 3: percent draw down from a year to date high at 32 00:01:19,640 --> 00:01:23,880 Speaker 3: the index level. However, the average member within the Nasdaq 33 00:01:24,160 --> 00:01:27,839 Speaker 3: has had a maximum draw down on average of thirty 34 00:01:27,880 --> 00:01:31,600 Speaker 3: two percent, So that's bare market level declines. It just 35 00:01:31,640 --> 00:01:35,000 Speaker 3: happened through a process of rotation and churn. That's not 36 00:01:35,040 --> 00:01:38,720 Speaker 3: a bad way to correct. Sentiment access is correct concentration access. 37 00:01:38,800 --> 00:01:42,360 Speaker 3: I think probably most investors would choose a rotational correction 38 00:01:42,360 --> 00:01:44,240 Speaker 3: as opposed to the bottom falling out all at once. 39 00:01:44,280 --> 00:01:47,080 Speaker 3: But that's the real story. Is you have to peel 40 00:01:47,240 --> 00:01:49,120 Speaker 3: kind of a layer of the onion back beyond just 41 00:01:49,160 --> 00:01:50,440 Speaker 3: the index level changes. 42 00:01:50,640 --> 00:01:53,600 Speaker 1: Is that largely some of the NASDAK names or the 43 00:01:53,600 --> 00:01:55,200 Speaker 1: broader market overall. 44 00:01:55,000 --> 00:01:59,720 Speaker 3: Was that it's mostly the Nasdaq. In terms of that 45 00:02:00,160 --> 00:02:03,160 Speaker 3: kind of underlying weakness, I think it's about twenty five 46 00:02:03,200 --> 00:02:06,360 Speaker 3: percent maximum drawdown on average for members within the Russell 47 00:02:06,400 --> 00:02:09,360 Speaker 3: two thousand, so clearly it's the smaller cap. It's only 48 00:02:09,400 --> 00:02:12,280 Speaker 3: about twelve percent for the S and P five hundred, 49 00:02:12,440 --> 00:02:16,760 Speaker 3: So there's definitely been weakness heading down the cap spectrum 50 00:02:16,800 --> 00:02:19,959 Speaker 3: into where you have the most interest rates sensitivity, the 51 00:02:20,200 --> 00:02:23,720 Speaker 3: nonprofitable zombie companies. So that's that's where the pressure has 52 00:02:23,720 --> 00:02:24,560 Speaker 3: been most acute. 53 00:02:24,600 --> 00:02:27,200 Speaker 1: So what does that say to you that there's opportunity 54 00:02:27,240 --> 00:02:30,040 Speaker 1: for room to the upside or how do you see? 55 00:02:30,160 --> 00:02:33,080 Speaker 1: And I feel like you can't think about that without 56 00:02:33,120 --> 00:02:35,760 Speaker 1: thinking about, Okay, what ultimately the FED may or may 57 00:02:35,800 --> 00:02:38,520 Speaker 1: not do, as the expectations around rate cuts have come 58 00:02:38,560 --> 00:02:39,400 Speaker 1: down dramatically. 59 00:02:40,400 --> 00:02:42,320 Speaker 3: Yeah, so I think yields have been more in the 60 00:02:42,400 --> 00:02:45,560 Speaker 3: driver's seat for what the market has done versus just 61 00:02:45,680 --> 00:02:48,480 Speaker 3: expectations around FED policy. It's kind of a parlor game 62 00:02:48,520 --> 00:02:51,480 Speaker 3: that everybody's playing. Now, you know, when will they start 63 00:02:51,520 --> 00:02:55,680 Speaker 3: how many cuts? And they're data dependent, so the data 64 00:02:55,720 --> 00:02:58,120 Speaker 3: is going to dictate that. But in the meantime, the 65 00:02:58,200 --> 00:03:00,960 Speaker 3: big move down in yields started the to October last 66 00:03:01,000 --> 00:03:05,000 Speaker 3: year to the earlier in the year low of three 67 00:03:05,040 --> 00:03:07,799 Speaker 3: point eight percent. That was a huge tailwind for the 68 00:03:07,840 --> 00:03:10,520 Speaker 3: overall market for small caps, and then the move up 69 00:03:10,560 --> 00:03:13,800 Speaker 3: initially really hurt small caps because that's where there's greater 70 00:03:13,919 --> 00:03:17,840 Speaker 3: interest sensitivity, but then more recently some of the larger names. 71 00:03:17,919 --> 00:03:20,880 Speaker 3: I think the leadership that has been dominant in the 72 00:03:20,919 --> 00:03:25,480 Speaker 3: past month or so will probably restart after we go 73 00:03:25,560 --> 00:03:29,280 Speaker 3: through this choppy phase, and that's in areas like financials 74 00:03:29,320 --> 00:03:32,919 Speaker 3: and energy and materials. That doesn't mean there aren't still 75 00:03:32,919 --> 00:03:36,760 Speaker 3: opportunities and everybody's favorite sectors like tech and communications services, 76 00:03:37,040 --> 00:03:40,600 Speaker 3: but I think that cyclical leadership has got legs. 77 00:03:40,720 --> 00:03:43,160 Speaker 1: Is that financials, energy, materials, I'm trying to think how 78 00:03:43,160 --> 00:03:45,840 Speaker 1: to read that. Is that because there's economic activity? Is 79 00:03:45,880 --> 00:03:48,680 Speaker 1: that because for financials a higher rate environment can mean 80 00:03:48,720 --> 00:03:51,080 Speaker 1: good things? Is energy because of geopolitics? 81 00:03:51,520 --> 00:03:54,920 Speaker 3: Yeah, I mean they are individual reasons. You've got obviously 82 00:03:54,960 --> 00:03:58,640 Speaker 3: geopolitics and oil. With energy, you've got oversold conditions that 83 00:03:58,760 --> 00:04:01,240 Speaker 3: developed obviously in financial with last year in the MIDDI 84 00:04:01,320 --> 00:04:05,840 Speaker 3: banking crisis, materials as a play on commodities. But broadly 85 00:04:05,880 --> 00:04:09,440 Speaker 3: I think it does reflect at least some sign of 86 00:04:09,480 --> 00:04:13,840 Speaker 3: improving global growth, and you know, really the kind of 87 00:04:13,880 --> 00:04:18,200 Speaker 3: growth trio of sectors, the tech, communication services, consumer discretionary 88 00:04:18,240 --> 00:04:23,039 Speaker 3: that house the Magnificent seven. They've almost become this era's 89 00:04:23,080 --> 00:04:26,320 Speaker 3: defensive type names. And I think given the stability and 90 00:04:26,400 --> 00:04:29,839 Speaker 3: strengthen the economy, that we finally saw some money shift 91 00:04:29,839 --> 00:04:33,679 Speaker 3: to those more classic cyclicals. And again we think that 92 00:04:33,680 --> 00:04:34,520 Speaker 3: that has some legs. 93 00:04:34,560 --> 00:04:35,960 Speaker 1: You know, it's interesting. I was looking at some of 94 00:04:35,960 --> 00:04:37,120 Speaker 1: the I think you have some of the data. Was 95 00:04:37,120 --> 00:04:40,480 Speaker 1: a German confidence or consumer confidence number that came in stronger. 96 00:04:40,480 --> 00:04:43,239 Speaker 1: Maybe today, I feel like there's been some news coming 97 00:04:43,240 --> 00:04:47,080 Speaker 1: in slowly out of Europe that maybe things you know, 98 00:04:47,200 --> 00:04:49,239 Speaker 1: are not as bad. And I do wonder, at Leasanne, 99 00:04:49,240 --> 00:04:51,840 Speaker 1: if we are setting ourselves up, maybe even China, could 100 00:04:51,839 --> 00:04:54,680 Speaker 1: they possibly could it be this year that finally we 101 00:04:54,720 --> 00:04:57,920 Speaker 1: see some significant momentum. Certainly the numbers seem to suggest it, 102 00:04:57,920 --> 00:05:00,320 Speaker 1: despite the skeptics, But could we We've been kind of 103 00:05:00,360 --> 00:05:02,280 Speaker 1: ruling all of this out and saying the US is 104 00:05:02,320 --> 00:05:04,400 Speaker 1: the best game in town. But if we get more 105 00:05:04,400 --> 00:05:08,279 Speaker 1: global growth, as the IMF has suggested, you know, could 106 00:05:08,279 --> 00:05:11,240 Speaker 1: that be really a boom if you will, certainly to 107 00:05:11,440 --> 00:05:12,800 Speaker 1: the global equity story. 108 00:05:13,800 --> 00:05:17,760 Speaker 3: So it's hard to envision a boom condo scenario, especially 109 00:05:18,279 --> 00:05:22,000 Speaker 3: maybe that's China given. Yeah, But you know, Carol, the 110 00:05:22,040 --> 00:05:23,920 Speaker 3: way you asked the question initially, I think you use 111 00:05:23,960 --> 00:05:27,480 Speaker 3: some important words, which is less bad. We have to 112 00:05:27,480 --> 00:05:31,240 Speaker 3: remember that, you know, when it comes to data, economic data, 113 00:05:31,360 --> 00:05:35,200 Speaker 3: earnings data, whatever it is, and market behavior. It's human 114 00:05:35,279 --> 00:05:38,200 Speaker 3: nature to think of economic data, earnings data in good 115 00:05:38,279 --> 00:05:41,560 Speaker 3: versus bad, strong versus weak, but better or worse tends 116 00:05:41,600 --> 00:05:43,680 Speaker 3: to matter more than good or bad. And it's just 117 00:05:43,760 --> 00:05:47,520 Speaker 3: those inflection points when things stop getting worse and start 118 00:05:47,520 --> 00:05:50,960 Speaker 3: getting better that can be the launch point for sector 119 00:05:51,200 --> 00:05:54,240 Speaker 3: changes in terms of where leadership is better market performance. 120 00:05:54,600 --> 00:05:59,039 Speaker 3: You don't necessarily need to see a significant acceleration, just 121 00:05:59,080 --> 00:06:02,760 Speaker 3: that inflection from bad to less bad to maybe getting better. 122 00:06:03,720 --> 00:06:07,520 Speaker 2: So we're all eyes on meta in just a few minutes, Lizen, 123 00:06:07,640 --> 00:06:10,680 Speaker 2: and I'm wondering about what this could tell us about 124 00:06:10,960 --> 00:06:13,240 Speaker 2: the greater economy if it's any sort of bell weather 125 00:06:13,279 --> 00:06:16,520 Speaker 2: to you. Given the vassive, vast majority, I can say 126 00:06:16,560 --> 00:06:19,279 Speaker 2: all of the revenue comes from advertising at this point, 127 00:06:19,320 --> 00:06:22,280 Speaker 2: a lot of small business advertising as well, and how 128 00:06:22,320 --> 00:06:24,359 Speaker 2: you're thinking about big tech earnings as we sort of 129 00:06:24,360 --> 00:06:26,080 Speaker 2: get into the swing of earning season right now. 130 00:06:26,200 --> 00:06:29,880 Speaker 3: So, as you know, I don't cover individual stocks, not 131 00:06:30,240 --> 00:06:33,120 Speaker 3: meta any of them. I think the most important aspect 132 00:06:33,240 --> 00:06:37,640 Speaker 3: to the earnings, particularly this week some of the big 133 00:06:37,720 --> 00:06:42,040 Speaker 3: high profile names, is not just about okay, did they 134 00:06:42,120 --> 00:06:46,159 Speaker 3: beat the consensus estimate for the quarter, but the differential 135 00:06:46,200 --> 00:06:50,000 Speaker 3: between top line growth, bottom line growth, maintenance of profit margins, 136 00:06:50,120 --> 00:06:52,720 Speaker 3: and importantly the outlook, because back to the better or 137 00:06:52,760 --> 00:06:55,200 Speaker 3: worse matters more than good or bad. You know, there's 138 00:06:55,240 --> 00:06:58,840 Speaker 3: been so much enthusiasm for maybe now a subset of 139 00:06:58,880 --> 00:07:03,159 Speaker 3: the magnificence set, and the data is likely to continue 140 00:07:03,200 --> 00:07:06,400 Speaker 3: to be really good, but we're starting to appropriately ask 141 00:07:06,440 --> 00:07:11,840 Speaker 3: the question has the expectation bar, either figuratively or literally 142 00:07:11,880 --> 00:07:15,480 Speaker 3: gotten set too high? And that I think was part 143 00:07:15,480 --> 00:07:17,680 Speaker 3: of the reason for some of this volatility. So that's 144 00:07:17,720 --> 00:07:19,880 Speaker 3: what I'm paying attention to this weekend next. 145 00:07:19,800 --> 00:07:21,680 Speaker 1: So great to check in with you again, Lezambi. Well, 146 00:07:21,720 --> 00:07:24,800 Speaker 1: Lizanne Sander's chief investment strategist at Charles Schwab, joining us 147 00:07:24,840 --> 00:07:25,760 Speaker 1: from Naples, Florida,