1 00:00:00,080 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:11,960 --> 00:00:15,560 Speaker 2: This is the Bloomberg Surveillance Podcast. I'm Tom Keene along 3 00:00:15,600 --> 00:00:18,960 Speaker 2: with Paul Sweeney. Join us each day for insight from 4 00:00:18,960 --> 00:00:23,160 Speaker 2: the best in economics, finance, investment, and international relations. You 5 00:00:23,160 --> 00:00:26,520 Speaker 2: can also watch the show live on YouTube. Visit the 6 00:00:26,520 --> 00:00:31,280 Speaker 2: Bloomberg Podcast channel on YouTube to see the show weekday 7 00:00:31,280 --> 00:00:34,320 Speaker 2: mornings from seven to ten am Eastern from our global 8 00:00:34,360 --> 00:00:39,000 Speaker 2: headquarters in New York City. Subscribe to the podcast on Apple, Spotify, 9 00:00:39,360 --> 00:00:42,920 Speaker 2: or anywhere else you listen and always I'm Bloomberg Radio, 10 00:00:43,080 --> 00:00:47,279 Speaker 2: the Bloomberg Terminal, and the Bloomberg Business App. Joining us 11 00:00:47,280 --> 00:00:51,920 Speaker 2: now from Charles Schwab Liz Anne Saunders. I am really 12 00:00:52,000 --> 00:00:56,000 Speaker 2: upset this morning about the financial media. OMG, Apple, We're 13 00:00:56,000 --> 00:00:58,120 Speaker 2: all gonna die. I don't know what Apple's going to do. 14 00:00:58,560 --> 00:01:00,760 Speaker 2: I know it's inappropriate for you to talk about an 15 00:01:00,760 --> 00:01:06,600 Speaker 2: individual security, but where did we lose? Looking at support 16 00:01:06,840 --> 00:01:11,720 Speaker 2: of trend out one year? Dare I say out three years? 17 00:01:12,080 --> 00:01:16,200 Speaker 2: Or for retirement plan investors a five year window. Just 18 00:01:16,280 --> 00:01:19,119 Speaker 2: the Apple chat of the last twenty four hours has 19 00:01:19,160 --> 00:01:20,279 Speaker 2: been appalling. 20 00:01:19,920 --> 00:01:24,320 Speaker 3: Because time horizons have shrunk two you know, nanoseconds. It's 21 00:01:24,360 --> 00:01:26,319 Speaker 3: fine to talk about three years and five years. I 22 00:01:26,319 --> 00:01:28,959 Speaker 3: think that matters, but a lot of the money in 23 00:01:29,000 --> 00:01:32,880 Speaker 3: the market trades in a fraction of that time horizon. 24 00:01:33,120 --> 00:01:36,920 Speaker 3: And you know, in the case of not just Apple, 25 00:01:37,000 --> 00:01:41,440 Speaker 3: but Tesla and even Alphabet, it's the China tie. But 26 00:01:42,280 --> 00:01:46,200 Speaker 3: it's not unhealthy that we're seeing some dispersion, not just 27 00:01:46,280 --> 00:01:50,240 Speaker 3: among them Magnificent seven, but churn under the surface that 28 00:01:50,320 --> 00:01:54,320 Speaker 3: in a stealthy way, there is actually some action and 29 00:01:54,360 --> 00:01:58,600 Speaker 3: participation down the cap spectrum in other areas. You know, 30 00:01:58,600 --> 00:02:01,840 Speaker 3: industrials have broken out and to some degree financials and 31 00:02:02,280 --> 00:02:03,080 Speaker 3: that's not a bad thing. 32 00:02:03,280 --> 00:02:05,560 Speaker 4: So we've had Luziana such a great move in the 33 00:02:05,560 --> 00:02:09,200 Speaker 4: stock market in November December last year, really driving the 34 00:02:09,200 --> 00:02:11,560 Speaker 4: market high. We've actually started the year off very well. 35 00:02:11,600 --> 00:02:13,440 Speaker 3: If you look at the SFP at the index level. 36 00:02:13,480 --> 00:02:15,320 Speaker 4: At the index level, that's where I want to go. 37 00:02:15,440 --> 00:02:17,480 Speaker 4: So we go beneath. What are you telling your clients 38 00:02:17,600 --> 00:02:20,560 Speaker 4: like if they're saying, I don't feel it, you know, 39 00:02:20,639 --> 00:02:21,320 Speaker 4: I don't feel it. 40 00:02:21,360 --> 00:02:21,680 Speaker 5: I know that. 41 00:02:21,639 --> 00:02:23,959 Speaker 4: Everybody's tell me. The s andp's up six seven percent 42 00:02:24,000 --> 00:02:26,200 Speaker 4: this year. It rallied hard last year, but I don't 43 00:02:26,240 --> 00:02:26,520 Speaker 4: feel it. 44 00:02:26,520 --> 00:02:29,959 Speaker 3: What do you tell me, well, I it's understandable because 45 00:02:30,040 --> 00:02:33,040 Speaker 3: let's use the Nasdaq as an example, because the extremes 46 00:02:33,160 --> 00:02:38,880 Speaker 3: here are are more significant. But that NASDAK, notwithstanding yesterday 47 00:02:39,160 --> 00:02:46,680 Speaker 3: trading around highs and at the index level, that NASDAK 48 00:02:46,720 --> 00:02:48,639 Speaker 3: has not had more than a three percent maximum draw 49 00:02:48,680 --> 00:02:50,800 Speaker 3: down from a year to date high. Right, But the 50 00:02:50,880 --> 00:02:55,000 Speaker 3: average member Nasdaq member maximum draw down from your to 51 00:02:55,080 --> 00:02:56,919 Speaker 3: date highs is negative twenty two percent. 52 00:02:57,040 --> 00:02:59,160 Speaker 2: Really, wow, I didn't So what do you call that 53 00:02:59,240 --> 00:02:59,920 Speaker 2: a bear market? 54 00:03:00,320 --> 00:03:02,959 Speaker 3: Well, it's it's churned under the surface, and it's draw 55 00:03:03,040 --> 00:03:06,880 Speaker 3: downs at different times. But yes, you've had you've had 56 00:03:06,960 --> 00:03:12,200 Speaker 3: bear market level draw downs among the average stock within 57 00:03:12,240 --> 00:03:12,760 Speaker 3: the Nasdaq. 58 00:03:12,880 --> 00:03:17,040 Speaker 2: Jud John Tucker, that describes your entire tool one k. Right, 59 00:03:18,480 --> 00:03:20,079 Speaker 2: would you say it's a duck market. 60 00:03:20,480 --> 00:03:22,960 Speaker 3: It's calm, that Michael Caine line of calm on the 61 00:03:23,040 --> 00:03:25,160 Speaker 3: surface and paddling like the chickens. 62 00:03:25,919 --> 00:03:27,840 Speaker 4: Yeah, So listen, what do you tell folks? I mean, 63 00:03:27,840 --> 00:03:30,440 Speaker 4: and maybe I mean Tom's been long magnificent seven, he's 64 00:03:30,440 --> 00:03:32,960 Speaker 4: been clipping coupons. He's fine. How about the rest of us? 65 00:03:33,000 --> 00:03:34,680 Speaker 4: Where do we go from here? If we haven't been 66 00:03:35,280 --> 00:03:37,440 Speaker 4: long those magnificent seven? I mean, where do we go 67 00:03:37,480 --> 00:03:37,880 Speaker 4: from here? 68 00:03:38,440 --> 00:03:42,200 Speaker 3: So I think I think there is money that is 69 00:03:42,240 --> 00:03:45,680 Speaker 3: itching to find opportunities outside of that small group, also 70 00:03:45,680 --> 00:03:48,320 Speaker 3: helping displain some of the dispersion that we're seeing there. 71 00:03:48,640 --> 00:03:50,560 Speaker 3: I don't don't think though, that this is the time 72 00:03:50,600 --> 00:03:54,279 Speaker 3: you want to sacrifice quality. We've got this recent resurgence 73 00:03:54,360 --> 00:03:57,480 Speaker 3: again in you know, today's versions of the meme stocks, 74 00:03:57,520 --> 00:03:59,560 Speaker 3: and that's a little bit troubling, But I would I 75 00:03:59,600 --> 00:04:03,240 Speaker 3: would fade that type of move under the surface and 76 00:04:03,360 --> 00:04:06,760 Speaker 3: lean into quality, especially if you're going down the cap spectrum, 77 00:04:06,800 --> 00:04:08,400 Speaker 3: because in the case of the Wrestle of two thousand, 78 00:04:08,880 --> 00:04:11,320 Speaker 3: you still have somewhere between thirty and forty percent of 79 00:04:11,320 --> 00:04:14,920 Speaker 3: that index of stocks that are some combination of zombie 80 00:04:14,960 --> 00:04:18,279 Speaker 3: companies and or nonprofitable companies. I don't think we're at 81 00:04:18,320 --> 00:04:19,840 Speaker 3: the part of the cycle where you want to lean 82 00:04:19,880 --> 00:04:22,799 Speaker 3: into low quality. There are times where for a trade 83 00:04:22,839 --> 00:04:24,599 Speaker 3: that makes sense, it's where the leverage is to an 84 00:04:24,640 --> 00:04:26,680 Speaker 3: upturn in the economy. I don't think we're there yet. 85 00:04:26,880 --> 00:04:29,240 Speaker 2: And now, folks for Global Wall Street, all of you 86 00:04:29,320 --> 00:04:33,040 Speaker 2: out on applecarplay and YouTube, the question that matters where 87 00:04:33,120 --> 00:04:39,560 Speaker 2: is Lizion Sanders on rebalancing? How do we rebalance without 88 00:04:39,760 --> 00:04:45,360 Speaker 2: over rebalancing or selling our winners. What's the sunders process. 89 00:04:45,440 --> 00:04:48,120 Speaker 3: Well, rebalancing is more about adding and trimming, not buying 90 00:04:48,200 --> 00:04:51,560 Speaker 3: and selling. So that's that's the beautiful component of that 91 00:04:51,680 --> 00:04:57,560 Speaker 3: discipline is it forces it's ad low trim high, distinct 92 00:04:57,560 --> 00:05:00,360 Speaker 3: from by low sell high. And one of the things 93 00:05:00,360 --> 00:05:03,240 Speaker 3: that individuals can consider doing, which is in contrast to 94 00:05:03,279 --> 00:05:07,960 Speaker 3: what most institutions, particularly cohorts like mutual funds, that have 95 00:05:08,080 --> 00:05:11,960 Speaker 3: that calendar based rebalancing final week of every quarter, I 96 00:05:11,960 --> 00:05:14,919 Speaker 3: think for individuals, and you have to take into consideration 97 00:05:15,000 --> 00:05:19,360 Speaker 3: the effect of turnover and transaction costs and even things 98 00:05:19,400 --> 00:05:22,120 Speaker 3: like tax brackets. So this is not a blanket recommendation, 99 00:05:22,320 --> 00:05:25,760 Speaker 3: but for investors to at least consider what I call 100 00:05:25,880 --> 00:05:29,200 Speaker 3: portfolio based rebalancing. Let your portfolio tell you when it's 101 00:05:29,240 --> 00:05:31,719 Speaker 3: time to do something, whether it's at the asset class 102 00:05:31,800 --> 00:05:36,320 Speaker 3: level or even within asset classes, as opposed to making 103 00:05:36,360 --> 00:05:40,160 Speaker 3: that decision on some sort of predetermined calendar schedule. 104 00:05:41,000 --> 00:05:43,120 Speaker 4: I don't know. I can buy a two year treasure 105 00:05:43,160 --> 00:05:44,880 Speaker 4: and get four point five to five percent, Why don't 106 00:05:44,920 --> 00:05:47,320 Speaker 4: I just do that and get ready for my beach? 107 00:05:47,839 --> 00:05:49,960 Speaker 3: For some investors, that does make a lot of sense. 108 00:05:49,960 --> 00:05:52,760 Speaker 3: But one of the reasons why, and you guys know, 109 00:05:52,839 --> 00:05:56,040 Speaker 3: are fixed income my fixed income counterparts, particularly Kathy Jones, 110 00:05:56,839 --> 00:06:01,760 Speaker 3: that when we talk about during extending duration, you get 111 00:06:01,760 --> 00:06:04,760 Speaker 3: that natural question, well, why would I go to a 112 00:06:04,800 --> 00:06:06,719 Speaker 3: ten year you know, four point two percent when I 113 00:06:06,760 --> 00:06:09,159 Speaker 3: can get something much shorter duration at a higher yield. 114 00:06:09,160 --> 00:06:12,960 Speaker 3: But there's the reinvestment risk, of course it comes into play. 115 00:06:13,040 --> 00:06:17,440 Speaker 3: But for many investors, the safety of treasuries, regardless of 116 00:06:17,480 --> 00:06:21,200 Speaker 3: where on the maturity spectrum, is a wonderful thing right now. 117 00:06:21,240 --> 00:06:24,400 Speaker 3: And you know, in the ZERP environment, so many investors 118 00:06:24,440 --> 00:06:27,000 Speaker 3: were forced out the risk spectrum, either into higher risk 119 00:06:27,040 --> 00:06:29,760 Speaker 3: segments of fixed income or into the equity market. And 120 00:06:29,760 --> 00:06:31,200 Speaker 3: that's not the case, which is one of the reason 121 00:06:31,240 --> 00:06:33,520 Speaker 3: why I think the six trillion dollars in money markets 122 00:06:33,960 --> 00:06:35,960 Speaker 3: could be a little bit stickier. And I don't know 123 00:06:36,000 --> 00:06:38,919 Speaker 3: that we should consider it so imminent pool of money 124 00:06:38,920 --> 00:06:40,719 Speaker 3: that's going to jump into the equity market. 125 00:06:40,800 --> 00:06:43,160 Speaker 2: You've been right on that. But what do you what 126 00:06:43,279 --> 00:06:47,400 Speaker 2: is the action of the trillions at schwab What do 127 00:06:47,440 --> 00:06:50,039 Speaker 2: you see people doing on a micro basis month to. 128 00:06:50,080 --> 00:06:55,080 Speaker 3: Month, Well, a lot more money in the safety of areas, 129 00:06:55,160 --> 00:06:58,479 Speaker 3: like whether it's money markets or treasuries, and I think 130 00:06:58,520 --> 00:07:02,120 Speaker 3: that's a good thing for that component of portfolios that 131 00:07:02,200 --> 00:07:05,880 Speaker 3: they want to have that sort of high liquidity, fairly 132 00:07:05,920 --> 00:07:10,840 Speaker 3: low risk. You know, we've been very factor focused on 133 00:07:10,880 --> 00:07:14,680 Speaker 3: the equity side of things. You know, we have sector biases, 134 00:07:14,840 --> 00:07:19,680 Speaker 3: but we think even applying it within individual sectors is 135 00:07:19,720 --> 00:07:22,520 Speaker 3: focused on factors, which is just investing based on characteristics. 136 00:07:22,560 --> 00:07:25,200 Speaker 2: I got to exqueeze this in you provided a service 137 00:07:25,240 --> 00:07:27,480 Speaker 2: to the nation with fiscal reviews for one of our 138 00:07:27,520 --> 00:07:31,200 Speaker 2: presidents coming in years ago. Things have changed now it's 139 00:07:31,280 --> 00:07:34,880 Speaker 2: trillions a month in debt and deficit. Should our listeners 140 00:07:34,920 --> 00:07:38,760 Speaker 2: and viewers be concerned about the burgeoning deficits? 141 00:07:38,800 --> 00:07:42,080 Speaker 3: Absolutely, and I think the investor class is gravely concerned 142 00:07:42,080 --> 00:07:44,800 Speaker 3: about this. I cannot remember the last time I did 143 00:07:44,800 --> 00:07:47,360 Speaker 3: a client event or a webcast where the first question 144 00:07:47,480 --> 00:07:49,920 Speaker 3: wasn't about the deficit and debt. The problem is that's 145 00:07:49,960 --> 00:07:52,640 Speaker 3: the investor class. I think broader constituents don't seem to 146 00:07:52,680 --> 00:07:54,360 Speaker 3: care much about it, which is why neither side of 147 00:07:54,360 --> 00:07:56,640 Speaker 3: the aisle tends to care about it. I think, frankly, 148 00:07:56,680 --> 00:07:59,600 Speaker 3: we need more adults in the room down in DC 149 00:07:59,760 --> 00:08:00,960 Speaker 3: having this conversation. 150 00:08:01,000 --> 00:08:03,040 Speaker 2: We're gonna go out with this because Lizzie sent me 151 00:08:03,080 --> 00:08:06,040 Speaker 2: a mean note I did nickelback one day. Ye oh yeah, 152 00:08:07,880 --> 00:08:11,760 Speaker 2: she was just like crushed. Lizzienne Saunders, thank you so much. 153 00:08:22,400 --> 00:08:25,200 Speaker 2: This is the conversation of the day on the arch 154 00:08:25,560 --> 00:08:29,040 Speaker 2: theory that is out there, which is things are good 155 00:08:29,480 --> 00:08:34,640 Speaker 2: because the wage growth after adjusting for inflation, is finally constructive. 156 00:08:34,720 --> 00:08:36,560 Speaker 2: Jeff you with a chart of the week, chart of 157 00:08:36,559 --> 00:08:39,080 Speaker 2: the month, chart of the first quarter. He's with bn Y. 158 00:08:39,160 --> 00:08:41,760 Speaker 2: Mellon joins us out. Jeff you, thank you. You've got 159 00:08:41,760 --> 00:08:45,720 Speaker 2: the United States and we're popping four percent plus wages 160 00:08:45,760 --> 00:08:49,560 Speaker 2: and after inflation, there's a real wage. What is it 161 00:08:49,600 --> 00:08:54,959 Speaker 2: about Italy where they've got wage growth pushing eight percent 162 00:08:55,760 --> 00:08:59,680 Speaker 2: and they got disinflation deflation. How good are things in Italy? 163 00:09:01,120 --> 00:09:03,679 Speaker 1: Well, just based on headline numbers, they certainly are looking 164 00:09:03,720 --> 00:09:05,559 Speaker 1: are very good. And you know there were one offs 165 00:09:05,559 --> 00:09:10,120 Speaker 1: in place heading towards December, so that generated a nominal 166 00:09:10,160 --> 00:09:13,280 Speaker 1: wage of them seven point ninety percent. But there's genuine 167 00:09:13,280 --> 00:09:16,400 Speaker 1: disinflation in Italy as well due to lower growth as 168 00:09:16,440 --> 00:09:19,760 Speaker 1: you would expect, lower demand. So that buffer is in 169 00:09:19,800 --> 00:09:21,600 Speaker 1: place right now and if you fink it's what several 170 00:09:21,600 --> 00:09:24,600 Speaker 1: Eurozone policy makers are worried about. They're looking at real 171 00:09:24,600 --> 00:09:27,080 Speaker 1: wage growth and saying people can still spend. Are we 172 00:09:27,120 --> 00:09:28,240 Speaker 1: talking about cutting rates? 173 00:09:28,360 --> 00:09:30,000 Speaker 2: Go to the other end of the spectrum in your 174 00:09:30,120 --> 00:09:33,840 Speaker 2: magnificent chart, I'm still this church, and that is I've 175 00:09:33,880 --> 00:09:39,680 Speaker 2: got inflation substantial in Japan, and I don't have wage growth. 176 00:09:40,040 --> 00:09:44,280 Speaker 2: I got an ugliness. Is Japan borderline as you studied 177 00:09:44,280 --> 00:09:46,680 Speaker 2: at LC nineteen thirties England. 178 00:09:48,120 --> 00:09:50,040 Speaker 1: Oh, I think those are going to be very different 179 00:09:50,080 --> 00:09:52,640 Speaker 1: demographics to us start off, where than what is them 180 00:09:52,720 --> 00:09:56,000 Speaker 1: driving things that you know net that's what you're hearing 181 00:09:56,000 --> 00:10:00,320 Speaker 1: from Japanese policymakers. Japanese lawmakers. They want to see real 182 00:10:00,400 --> 00:10:02,880 Speaker 1: wage growth, not just a one off bounce, which is 183 00:10:02,920 --> 00:10:06,280 Speaker 1: maybe what happened in Italy, but so that to become entrenched, 184 00:10:06,400 --> 00:10:09,880 Speaker 1: only then can they consider to raise rates. And they 185 00:10:09,920 --> 00:10:13,160 Speaker 1: want to generate some inflation expectations to encourage corporates to 186 00:10:13,200 --> 00:10:16,000 Speaker 1: start paying higher nominal wages and generate real wage growth 187 00:10:16,000 --> 00:10:19,480 Speaker 1: as well. So basically, you know, that's the ebb and 188 00:10:19,520 --> 00:10:21,599 Speaker 1: flow of policy right now. And to be frank and 189 00:10:21,640 --> 00:10:23,360 Speaker 1: for those of us who think the yen should strengthen 190 00:10:23,360 --> 00:10:24,920 Speaker 1: in Japan. It is proving frustrating. 191 00:10:25,720 --> 00:10:28,439 Speaker 4: So Jeffrey, we're going to hear from Fed Truman, Jpal today. 192 00:10:28,600 --> 00:10:31,800 Speaker 4: What are the central banks in Europe? What are they 193 00:10:31,840 --> 00:10:32,880 Speaker 4: saying these days? 194 00:10:32,920 --> 00:10:34,720 Speaker 2: Are they following the US FED? 195 00:10:34,720 --> 00:10:38,199 Speaker 4: Do they have some independent thinking visa v their economies 196 00:10:38,200 --> 00:10:39,160 Speaker 4: and their rate structure? 197 00:10:40,040 --> 00:10:43,480 Speaker 1: Oh, totally be independent. But what is DCB thinking? What 198 00:10:43,600 --> 00:10:45,839 Speaker 1: is the government council thinking? It depends on which Government 199 00:10:45,880 --> 00:10:48,120 Speaker 1: Council member you are going to ask, right, there were 200 00:10:48,160 --> 00:10:51,800 Speaker 1: some members which said March should be so tomorrow should 201 00:10:51,800 --> 00:10:54,120 Speaker 1: have been a live meeting, and there others who question, 202 00:10:54,240 --> 00:10:56,440 Speaker 1: why are we even talking about rate cuts this year? 203 00:10:56,600 --> 00:10:58,240 Speaker 1: I think you know that's been brought onto the table 204 00:10:58,440 --> 00:11:00,920 Speaker 1: for the FED as well. So very different views. I'm 205 00:11:00,960 --> 00:11:03,560 Speaker 1: out there at this point, but we think Q two 206 00:11:03,600 --> 00:11:06,080 Speaker 1: they will need to move on rates. Eurozone economy, look 207 00:11:06,120 --> 00:11:09,000 Speaker 1: at manufacturing contracting that is not in a good place 208 00:11:09,040 --> 00:11:09,880 Speaker 1: compared to the US. 209 00:11:10,520 --> 00:11:12,480 Speaker 4: And I know just kind of the expectations here in 210 00:11:12,520 --> 00:11:16,160 Speaker 4: the US, Jeffrey, been tempered from early this year when 211 00:11:16,240 --> 00:11:18,440 Speaker 4: maybe five to six rate cuts were priced and now 212 00:11:18,480 --> 00:11:21,120 Speaker 4: maybe you know, kind of three or four as something 213 00:11:21,200 --> 00:11:25,040 Speaker 4: similar happened in the ECB and the BOE from the 214 00:11:25,080 --> 00:11:27,360 Speaker 4: market's expectations perspective. 215 00:11:28,000 --> 00:11:33,040 Speaker 1: Yes, totally so. Triple digits in total cuts were expected 216 00:11:33,320 --> 00:11:36,120 Speaker 1: in Europe towards the end of last year due to 217 00:11:36,120 --> 00:11:39,160 Speaker 1: the soft numbers. That certainly has them turned around as well. 218 00:11:39,520 --> 00:11:42,920 Speaker 1: Right now, you're seeing energy prices, for example, contributing positively 219 00:11:43,400 --> 00:11:46,400 Speaker 1: to headline inflation. And you know, funny that's going on now. 220 00:11:46,440 --> 00:11:49,079 Speaker 1: You know, given core inflation was too high last year, 221 00:11:49,120 --> 00:11:51,000 Speaker 1: now headline inflation is them too high, So what are 222 00:11:51,040 --> 00:11:53,400 Speaker 1: you really targeting? So that's where going back to my 223 00:11:53,480 --> 00:11:55,800 Speaker 1: euro dollar, going back to parity core for this year, 224 00:11:55,960 --> 00:11:59,439 Speaker 1: where we think the ECB will acknowledge that manufacturing really 225 00:11:59,480 --> 00:12:01,440 Speaker 1: is slowing too much such that they have to move early. 226 00:12:01,760 --> 00:12:04,599 Speaker 2: It's a great coverage yesterday, Jeff You and the NPC 227 00:12:05,480 --> 00:12:08,200 Speaker 2: and basically three thousand people in a room with the 228 00:12:08,240 --> 00:12:12,120 Speaker 2: President of China trying to move forward as a communist party. 229 00:12:12,640 --> 00:12:16,000 Speaker 2: Jeff You, when you see a Bloomberg headline that says 230 00:12:16,160 --> 00:12:21,400 Speaker 2: President g wants quote new productive forces to fit local conditions, 231 00:12:21,920 --> 00:12:23,880 Speaker 2: What a god's name does that mean? Jeff you? 232 00:12:25,440 --> 00:12:30,040 Speaker 1: If you actually go back to an NDRC document, I 233 00:12:30,080 --> 00:12:33,400 Speaker 1: believe it was from a month ago. They actually specifically 234 00:12:33,559 --> 00:12:39,920 Speaker 1: cite the academic who came up with these theories are 235 00:12:39,920 --> 00:12:42,800 Speaker 1: within the fifth and Dove sufctral Revolution and the like. 236 00:12:43,080 --> 00:12:46,160 Speaker 1: So it really is basically about resilience. It really is 237 00:12:46,240 --> 00:12:50,240 Speaker 1: about identifying aspects of the economy technology at its core 238 00:12:50,520 --> 00:12:54,840 Speaker 1: being able to generate high quality growth, generate productivity growth, 239 00:12:55,000 --> 00:12:58,120 Speaker 1: to compensate for things like soft demographics and also potential 240 00:12:58,160 --> 00:13:01,040 Speaker 1: supply chain challenges as well. That is the plan. Can 241 00:13:01,080 --> 00:13:03,520 Speaker 1: it deliver growth and we shall see, But overall we 242 00:13:03,559 --> 00:13:05,680 Speaker 1: do think there's upside surprise that flows into China. 243 00:13:05,720 --> 00:13:10,680 Speaker 2: Technologies in the news. Ed Ludlow, Sure, I don't know 244 00:13:10,679 --> 00:13:13,559 Speaker 2: what to get the man, but Jeff, you technologies in 245 00:13:13,640 --> 00:13:16,240 Speaker 2: the news, whether it's ASML in the Netherlands or you 246 00:13:16,240 --> 00:13:20,320 Speaker 2: know you as Microme and litigation the other day, is 247 00:13:20,360 --> 00:13:24,720 Speaker 2: the Taiwan magic of TSMC? Is it at risk? 248 00:13:26,720 --> 00:13:30,040 Speaker 1: So right now, China has said in the past that 249 00:13:30,120 --> 00:13:32,080 Speaker 1: if let's just say supply chains are going to be 250 00:13:32,080 --> 00:13:36,040 Speaker 1: at risk, then China is counting on its own innovative capacity, 251 00:13:36,320 --> 00:13:39,880 Speaker 1: its own universities, its own education system to start to 252 00:13:39,960 --> 00:13:42,120 Speaker 1: generate that innovation. And then if we look at what's 253 00:13:42,160 --> 00:13:45,760 Speaker 1: happened over the last few decades. Of course, globalizations has 254 00:13:45,760 --> 00:13:49,760 Speaker 1: helped being able to access and global knowledge, but should 255 00:13:49,800 --> 00:13:53,360 Speaker 1: we also count China out in terms of its ability 256 00:13:54,080 --> 00:13:57,200 Speaker 1: not being able to innovate them alike. I think that 257 00:13:57,360 --> 00:13:59,800 Speaker 1: is a big assumption as well, because you know, when 258 00:13:59,840 --> 00:14:02,400 Speaker 1: some times you are forced into a position where you 259 00:14:02,400 --> 00:14:05,360 Speaker 1: have to innovate yourself back into growth out of the 260 00:14:05,400 --> 00:14:08,559 Speaker 1: supply chain challenges, that's when sparks in a tend to happen. 261 00:14:08,640 --> 00:14:12,359 Speaker 1: So I think globally, you know this trend towards deglobalization, 262 00:14:12,559 --> 00:14:15,120 Speaker 1: not just China but everywhere people sharing less with each other, 263 00:14:15,360 --> 00:14:18,280 Speaker 1: trading less with each other. That doesn't mean you are 264 00:14:18,280 --> 00:14:21,320 Speaker 1: going to achieve your strategic objectives. So I do think 265 00:14:21,440 --> 00:14:23,520 Speaker 1: with the electoral season upon us and these are things 266 00:14:23,520 --> 00:14:26,320 Speaker 1: that policymakers will make us really need to think about. 267 00:14:26,520 --> 00:14:29,520 Speaker 2: Thanks for the brief on Europe with the ECB tomorrow. 268 00:14:33,200 --> 00:14:35,600 Speaker 4: We had Super Tuesday, but I don't know as far 269 00:14:35,600 --> 00:14:38,080 Speaker 4: as Super Tuesdays goes didn't feel that super to me. 270 00:14:38,080 --> 00:14:39,760 Speaker 4: But let's check in with somebody who thinks about this 271 00:14:39,760 --> 00:14:43,360 Speaker 4: stuff full time, Jen Flinton. She's head of US Government 272 00:14:43,360 --> 00:14:45,200 Speaker 4: affairs for Investco. 273 00:14:45,440 --> 00:14:45,640 Speaker 6: Jen. 274 00:14:45,720 --> 00:14:49,840 Speaker 4: We had fifteen States, and I guess Samoa as well, 275 00:14:50,600 --> 00:14:53,080 Speaker 4: voting yesterday. Key takeaways for you. 276 00:14:54,120 --> 00:14:57,280 Speaker 5: Yeah, I think we saw what we expected to see, 277 00:14:57,440 --> 00:15:02,360 Speaker 5: which was Donald Trump pretty much taking control of the 278 00:15:02,400 --> 00:15:06,320 Speaker 5: fifteen states, all but one Vermont, which he seems to 279 00:15:06,320 --> 00:15:10,120 Speaker 5: have lost to Nicky Haley. But the expectation was that 280 00:15:10,280 --> 00:15:13,320 Speaker 5: after Super Tuesday, NICKI Haley would leave the race, and 281 00:15:13,360 --> 00:15:14,960 Speaker 5: it looks like we're going to get that around ten 282 00:15:14,960 --> 00:15:15,640 Speaker 5: o'clock today. 283 00:15:16,440 --> 00:15:19,040 Speaker 4: All right, So where do we go from here? For 284 00:15:19,440 --> 00:15:21,880 Speaker 4: this is going to be a very long campaign because, 285 00:15:21,920 --> 00:15:25,840 Speaker 4: as I remember, the election is not till November. So 286 00:15:25,920 --> 00:15:30,240 Speaker 4: what do each of these politicians, these candidates, what did 287 00:15:30,240 --> 00:15:31,880 Speaker 4: they do for the next you know, I don't know, 288 00:15:31,960 --> 00:15:33,760 Speaker 4: nine eight months. 289 00:15:34,040 --> 00:15:36,400 Speaker 5: Yeah, this is going to be a really early start 290 00:15:36,520 --> 00:15:41,800 Speaker 5: to the general election season. And we're already starting to 291 00:15:41,840 --> 00:15:48,120 Speaker 5: see some of that momentum building up for the policy discussion. Right, 292 00:15:48,200 --> 00:15:50,960 Speaker 5: and we have this State of the Union on Thursday, 293 00:15:51,800 --> 00:15:54,080 Speaker 5: where I think the President's going to telegraph some of 294 00:15:54,120 --> 00:15:59,360 Speaker 5: his messaging going forward into this very long general election season. 295 00:15:59,880 --> 00:16:02,440 Speaker 5: And as we approach the summer, which. 296 00:16:02,240 --> 00:16:03,200 Speaker 7: Is the conventions. 297 00:16:03,880 --> 00:16:06,920 Speaker 5: In July, you'll have the Republican Convention there in Wisconsin, 298 00:16:07,400 --> 00:16:10,840 Speaker 5: followed in August by the Democratic Convention in Chicago, and 299 00:16:10,840 --> 00:16:13,840 Speaker 5: then we'll immediately go into general election season. I think 300 00:16:13,880 --> 00:16:15,920 Speaker 5: the big question right now is are we going to 301 00:16:15,920 --> 00:16:17,000 Speaker 5: see debates in the fall? 302 00:16:17,520 --> 00:16:19,560 Speaker 2: Okay, well, you know, I'll go with all that. But 303 00:16:19,600 --> 00:16:21,240 Speaker 2: I think there's a lot going on beneath. And I 304 00:16:21,240 --> 00:16:25,480 Speaker 2: know California got the Steve Garvey remember him on first base? 305 00:16:25,960 --> 00:16:27,520 Speaker 4: Yes, first first base? 306 00:16:27,840 --> 00:16:31,160 Speaker 2: He is janormous. Yeah, and he did a genormous day yesterday, 307 00:16:31,200 --> 00:16:33,880 Speaker 2: I guess. But Jen, what did you learn about like 308 00:16:34,160 --> 00:16:37,680 Speaker 2: the future of the House off of Super Tuesday? Can 309 00:16:37,720 --> 00:16:42,160 Speaker 2: you say tildmore Republican likely tilmore Democratic? Lady? Which way 310 00:16:42,200 --> 00:16:42,560 Speaker 2: does that go? 311 00:16:43,360 --> 00:16:43,480 Speaker 6: Well? 312 00:16:43,520 --> 00:16:48,240 Speaker 5: I was watching some specific races a little lessoteric, but 313 00:16:48,520 --> 00:16:52,000 Speaker 5: in Arkansas you had some fights for some of your 314 00:16:52,040 --> 00:16:57,920 Speaker 5: more traditional Republicans against some type primaries to their right, 315 00:16:59,240 --> 00:17:03,280 Speaker 5: most notably Steve Womack, and he survived with a nice 316 00:17:03,280 --> 00:17:07,120 Speaker 5: little cushion there. Looking into Texas, some of those races 317 00:17:07,160 --> 00:17:09,520 Speaker 5: you're going to have to have some additional primary runoffs, 318 00:17:09,560 --> 00:17:13,000 Speaker 5: so that's going to require some spend and money. But 319 00:17:13,080 --> 00:17:19,160 Speaker 5: I think going into going into this next election day 320 00:17:19,240 --> 00:17:23,240 Speaker 5: on March twelfth, you know, the Senate is looking really 321 00:17:23,280 --> 00:17:24,680 Speaker 5: strong for Republicans. 322 00:17:25,080 --> 00:17:28,199 Speaker 2: And I believe after Duke takes the acc and we 323 00:17:28,280 --> 00:17:32,200 Speaker 2: have selections Sunday, isn't there a Florida primary out there? 324 00:17:32,280 --> 00:17:34,280 Speaker 2: Like within two cups of coffee? 325 00:17:35,400 --> 00:17:38,960 Speaker 5: That's right, Florida and last night was Texas. 326 00:17:39,359 --> 00:17:41,320 Speaker 7: These are the two states. 327 00:17:40,840 --> 00:17:44,399 Speaker 5: That are the most difficult states for Republicans right This map, 328 00:17:44,480 --> 00:17:48,920 Speaker 5: this Senate map is really advantaged for Republicans right now. 329 00:17:49,160 --> 00:17:51,199 Speaker 7: So you know, if you think Texas and. 330 00:17:51,560 --> 00:17:54,240 Speaker 5: Florida are they're tough estates, you know that that's not 331 00:17:54,320 --> 00:17:57,320 Speaker 5: really that tough. While you have the Democrats defending a 332 00:17:57,400 --> 00:17:58,119 Speaker 5: number of states. 333 00:17:58,240 --> 00:18:02,479 Speaker 2: So what if Haley drops out, where's we come out? 334 00:18:02,520 --> 00:18:04,720 Speaker 2: We got to justify a road trip down there. Jennifer 335 00:18:04,800 --> 00:18:07,120 Speaker 2: help us. How do we what's going to be the 336 00:18:07,160 --> 00:18:09,960 Speaker 2: tension of the Florida primary? 337 00:18:11,040 --> 00:18:16,159 Speaker 5: Well, I mean, look, Florida is a pretty ruby red 338 00:18:16,400 --> 00:18:18,840 Speaker 5: state now. I mean it wasn't long ago that it 339 00:18:18,920 --> 00:18:22,880 Speaker 5: was a purple place, but it's a pretty red state now. 340 00:18:22,920 --> 00:18:23,720 Speaker 7: I will say this. 341 00:18:23,840 --> 00:18:29,000 Speaker 5: You had the Biden campaign sort of telegraphing expanding the 342 00:18:29,080 --> 00:18:33,200 Speaker 5: map into Florida, which kind of raised a question mark 343 00:18:33,240 --> 00:18:33,680 Speaker 5: over my head. 344 00:18:33,680 --> 00:18:35,280 Speaker 7: I'm not quite sure how that's going to happen. 345 00:18:35,640 --> 00:18:40,320 Speaker 5: I'm really quite frankly focused in on these battleground states. 346 00:18:40,440 --> 00:18:45,160 Speaker 5: I'm after, you know, Haley drops out and we start 347 00:18:45,200 --> 00:18:48,879 Speaker 5: this general election and Trump probably takes the delegates he 348 00:18:48,960 --> 00:18:54,840 Speaker 5: needs by next week. I'm looking at Arizona, Nevada, Wisconsin, Michigan, Pennsylvania, 349 00:18:54,920 --> 00:18:55,480 Speaker 5: and ja. 350 00:18:55,800 --> 00:18:57,280 Speaker 7: I am honed in on those states. 351 00:18:57,359 --> 00:19:00,040 Speaker 2: I'm enough of a fossil where Florida was actually a. 352 00:19:00,040 --> 00:19:05,240 Speaker 4: Battleground bund exactly, all right, Jen, the Republican Party, it 353 00:19:05,320 --> 00:19:08,840 Speaker 4: is the party of Donald Trump. My father, who would 354 00:19:08,920 --> 00:19:11,280 Speaker 4: vote for Nixon today if he were on the ballot, 355 00:19:11,520 --> 00:19:14,920 Speaker 4: would not recognize this party. What is the Republican National Committee, 356 00:19:14,920 --> 00:19:17,800 Speaker 4: the apparatus, the machine? What does it do over the 357 00:19:17,840 --> 00:19:18,520 Speaker 4: next eight months? 358 00:19:19,160 --> 00:19:20,320 Speaker 7: Yeah, that's a great question. 359 00:19:20,480 --> 00:19:25,719 Speaker 5: So what we're seeing is as Trump really consolidating his 360 00:19:26,040 --> 00:19:30,359 Speaker 5: support there and turning over the leadership at the rn C. 361 00:19:30,600 --> 00:19:32,720 Speaker 7: This will now be his RNC. 362 00:19:33,080 --> 00:19:36,040 Speaker 5: He's putting his daughter in law at sort of the 363 00:19:36,080 --> 00:19:40,040 Speaker 5: front face of the RNC and then moving Chris Losa Vida. 364 00:19:40,800 --> 00:19:46,280 Speaker 5: He's one of Trump's co campaign shairs and runs the 365 00:19:46,359 --> 00:19:49,359 Speaker 5: campaign there next to Susie Wiles. He's going in and 366 00:19:49,400 --> 00:19:51,960 Speaker 5: he's going to be doing a lot of the operational 367 00:19:52,000 --> 00:19:55,199 Speaker 5: work at the rn C, and what they will be 368 00:19:55,240 --> 00:19:59,080 Speaker 5: focused on are those battleground states and getting really strong 369 00:19:59,119 --> 00:20:00,800 Speaker 5: captains to those days. 370 00:20:01,200 --> 00:20:05,560 Speaker 2: Carry out suppose really important question, and I take your point. 371 00:20:05,640 --> 00:20:08,119 Speaker 2: The leader takes over the party. That's the way it 372 00:20:08,240 --> 00:20:12,800 Speaker 2: used to be. What's a Trump methodology in Pennsylvania versus 373 00:20:12,920 --> 00:20:17,240 Speaker 2: Republican and name only Mitt Romney's methodology in Pennsylvania. 374 00:20:18,040 --> 00:20:21,080 Speaker 7: Right, It's going to be focused on those. 375 00:20:20,840 --> 00:20:26,240 Speaker 5: Suburbs right in the Pittsburgh area, in the Philadelphia area 376 00:20:26,520 --> 00:20:32,520 Speaker 5: and trying to raise those numbers he has clearly has 377 00:20:32,800 --> 00:20:36,440 Speaker 5: He clearly has a lot of growth that he needs 378 00:20:37,280 --> 00:20:39,399 Speaker 5: to make there with suburban women. 379 00:20:40,080 --> 00:20:53,880 Speaker 2: Okay, this has been a great brief Selvita Supermanian who 380 00:20:53,920 --> 00:20:56,640 Speaker 2: joins us now from Bank of America and Sevida, what's 381 00:20:56,640 --> 00:21:00,520 Speaker 2: important about this conversation. If you've made the trek across 382 00:21:00,560 --> 00:21:04,000 Speaker 2: a year and a half from a more measured, cautious 383 00:21:04,280 --> 00:21:09,280 Speaker 2: XPX call out to well over five thousand, describe that trek. 384 00:21:09,359 --> 00:21:12,600 Speaker 2: What was the path in the process to get to 385 00:21:12,640 --> 00:21:13,800 Speaker 2: your new optimism. 386 00:21:14,720 --> 00:21:17,320 Speaker 6: Yeah, so it was it was a path that was 387 00:21:17,400 --> 00:21:18,920 Speaker 6: paved with potholes. 388 00:21:19,880 --> 00:21:21,880 Speaker 8: You know, we I think at the beginning of. 389 00:21:21,920 --> 00:21:26,439 Speaker 6: Last year, all of our sentiment models were flashing green 390 00:21:26,720 --> 00:21:31,440 Speaker 6: because everyone was so bearish on everything, and that was 391 00:21:31,480 --> 00:21:34,000 Speaker 6: a point at which you know, we we basically saw 392 00:21:34,040 --> 00:21:37,280 Speaker 6: that the real risk was being underinvested in equities. Then 393 00:21:37,320 --> 00:21:40,800 Speaker 6: you had, you know, another bank blow up, you had 394 00:21:40,880 --> 00:21:43,960 Speaker 6: some volatility. 395 00:21:42,640 --> 00:21:43,840 Speaker 8: Closer to the end of the year. 396 00:21:44,119 --> 00:21:46,399 Speaker 6: But I think it was really a year where most 397 00:21:46,440 --> 00:21:51,680 Speaker 6: of our models were flashing green except valuation. And I think, 398 00:21:51,880 --> 00:21:55,919 Speaker 6: you know, today we are still constructive on equities, but 399 00:21:56,000 --> 00:22:01,240 Speaker 6: I would say we're less convicted in that outright. And 400 00:22:02,080 --> 00:22:04,199 Speaker 6: the reason is, you know, we're at a more of 401 00:22:04,200 --> 00:22:07,320 Speaker 6: a neutral point in terms of sentiment, and I think 402 00:22:07,359 --> 00:22:11,160 Speaker 6: the market, you know, kind of optimism has built around 403 00:22:11,520 --> 00:22:12,080 Speaker 6: themes and. 404 00:22:12,040 --> 00:22:15,440 Speaker 2: Stuff for Global Wall Street. Sevita, what methodology you are using? 405 00:22:15,440 --> 00:22:18,520 Speaker 2: Are you bottom up, top down? Are you factor based? 406 00:22:18,880 --> 00:22:22,080 Speaker 2: Is it some magical mathematics out of Berkeley? What's the 407 00:22:22,119 --> 00:22:25,919 Speaker 2: Sevita Supermanian method to look out a tea months? 408 00:22:26,520 --> 00:22:30,760 Speaker 6: Yeah, so, I mean it's a lot of different reads. 409 00:22:30,760 --> 00:22:32,600 Speaker 6: So what we tried to do is come up with 410 00:22:33,200 --> 00:22:36,760 Speaker 6: different signals that are uncorrelated, so they give you a 411 00:22:36,800 --> 00:22:40,040 Speaker 6: kind of a very diverse take on the market, and 412 00:22:40,080 --> 00:22:42,280 Speaker 6: we ended up I remember when I got this job 413 00:22:42,320 --> 00:22:45,639 Speaker 6: back in twenty eleven, back testing all of the market 414 00:22:45,680 --> 00:22:48,280 Speaker 6: timing models that we've all heard about, like the FED 415 00:22:48,359 --> 00:22:50,879 Speaker 6: model or dividend yields versus bond yields. 416 00:22:50,600 --> 00:22:51,440 Speaker 8: Et cetera. 417 00:22:51,560 --> 00:22:54,240 Speaker 6: Most of them don't work, surprise, surprise, which is why 418 00:22:54,280 --> 00:22:57,480 Speaker 6: we're all here. But you know, what we did find 419 00:22:57,600 --> 00:23:00,159 Speaker 6: was that if you use kind of different models for 420 00:23:00,200 --> 00:23:02,920 Speaker 6: different timeframes, you see, it seems to. 421 00:23:02,920 --> 00:23:03,760 Speaker 8: Work out better. 422 00:23:03,800 --> 00:23:05,680 Speaker 6: So we have a sentiment model, we have a fair 423 00:23:05,800 --> 00:23:10,160 Speaker 6: value model. Long term valuation is probably all that matters. 424 00:23:10,640 --> 00:23:13,720 Speaker 6: Shorter term it's technicals, and then over the next three 425 00:23:13,720 --> 00:23:17,240 Speaker 6: months we look for the probability of an earning surprise and. 426 00:23:17,280 --> 00:23:20,640 Speaker 8: A positive or negative direction. So that's the suite. 427 00:23:20,720 --> 00:23:22,720 Speaker 6: But then, of course, Tom, you know, it's more of 428 00:23:22,760 --> 00:23:26,080 Speaker 6: an art than a science, and each of these models 429 00:23:26,240 --> 00:23:29,200 Speaker 6: is basically as good as the inputs that you feed 430 00:23:29,240 --> 00:23:32,399 Speaker 6: into it. So I think where we are today is 431 00:23:32,440 --> 00:23:36,720 Speaker 6: an environment where our valuation framework for the long term 432 00:23:36,760 --> 00:23:38,800 Speaker 6: says returns are going to be lower for longer. 433 00:23:38,880 --> 00:23:39,879 Speaker 8: I think we all. 434 00:23:39,720 --> 00:23:43,639 Speaker 6: Kind of knew that, but our near term sentiment and 435 00:23:43,720 --> 00:23:47,320 Speaker 6: earning surprise models are telling us that things are actually 436 00:23:48,000 --> 00:23:50,720 Speaker 6: the direction of the market is more likely to be 437 00:23:51,080 --> 00:23:54,040 Speaker 6: up rather than down. So I think that's our net 438 00:23:54,040 --> 00:23:57,639 Speaker 6: message to investors is stay invested. We're not at that 439 00:23:57,760 --> 00:24:02,920 Speaker 6: point of absolute euphoria on equities. We've seen euphoria build 440 00:24:02,960 --> 00:24:05,040 Speaker 6: around a few themes in the market, but we think 441 00:24:05,080 --> 00:24:07,440 Speaker 6: that it could broaden out from here significantly. 442 00:24:07,720 --> 00:24:10,480 Speaker 4: So, Savite, I'm looking at your research note here, realistic 443 00:24:10,680 --> 00:24:14,160 Speaker 4: bull bear case fair value forty one hundred to sixty 444 00:24:14,160 --> 00:24:17,040 Speaker 4: five hundred on the S and P five hundred. Huge 445 00:24:17,280 --> 00:24:19,880 Speaker 4: disparity there. What's kind of what are the key two 446 00:24:19,960 --> 00:24:23,200 Speaker 4: or three drivers to push you between you know, your 447 00:24:23,200 --> 00:24:24,000 Speaker 4: bold and bear case. 448 00:24:24,600 --> 00:24:28,399 Speaker 6: Yeah, so the bull case is really predicated. It's not 449 00:24:28,480 --> 00:24:31,800 Speaker 6: even that lofty of a set of assumptions, but it's 450 00:24:31,840 --> 00:24:34,960 Speaker 6: really the idea that you know, real rates stay lower 451 00:24:35,000 --> 00:24:38,040 Speaker 6: for longer because of demographics, disruption, all the stuff we 452 00:24:38,040 --> 00:24:40,920 Speaker 6: were talking about, you know, five years ago before COVID, 453 00:24:41,520 --> 00:24:43,560 Speaker 6: and then on top of that, the equity risk premium 454 00:24:43,640 --> 00:24:46,000 Speaker 6: actually settles a little bit lower than where it is 455 00:24:46,040 --> 00:24:50,040 Speaker 6: today because companies are actually focused on high quality growth 456 00:24:50,119 --> 00:24:53,600 Speaker 6: rather than just levered buybacks, and you know, kind of 457 00:24:53,600 --> 00:24:56,080 Speaker 6: this lower quality growth that we've seen over the last 458 00:24:56,520 --> 00:24:58,040 Speaker 6: you know, the prior decade. 459 00:24:58,240 --> 00:24:59,840 Speaker 8: So that's when that's one. 460 00:25:00,520 --> 00:25:02,399 Speaker 6: And then the other factor is just the idea that 461 00:25:02,440 --> 00:25:06,280 Speaker 6: normalized earnings can actually be. You know, we're not necessarily 462 00:25:06,320 --> 00:25:08,959 Speaker 6: at a point where normalized darnings, where earnings are peaked 463 00:25:09,000 --> 00:25:11,280 Speaker 6: and likely to calm down significantly. 464 00:25:11,680 --> 00:25:14,320 Speaker 8: So I think our bookcase is actually pretty realistic. 465 00:25:14,480 --> 00:25:17,560 Speaker 6: And then similarly, the realistic bare case scenario is the 466 00:25:17,640 --> 00:25:19,960 Speaker 6: idea that real rates subtle higher. 467 00:25:20,640 --> 00:25:22,359 Speaker 8: You know, inflation isn't controlled. 468 00:25:22,840 --> 00:25:26,119 Speaker 6: We have a and we also have ten year yields 469 00:25:26,160 --> 00:25:28,240 Speaker 6: backing up on various drivers. 470 00:25:28,680 --> 00:25:29,800 Speaker 8: And then on top of that you. 471 00:25:29,760 --> 00:25:32,879 Speaker 6: Have normalized darnings coming back down to kind of the 472 00:25:32,960 --> 00:25:35,199 Speaker 6: long term average. 473 00:25:34,720 --> 00:25:36,560 Speaker 8: Which I think is too punitive. 474 00:25:37,480 --> 00:25:40,960 Speaker 6: So one of the reasons I just just for you know, clarification, 475 00:25:41,000 --> 00:25:43,480 Speaker 6: One of the reasons that we maintained our constructive outlook 476 00:25:44,000 --> 00:25:48,200 Speaker 6: is that I think that valuation is particularly problematic because 477 00:25:48,600 --> 00:25:51,720 Speaker 6: if you're looking at a long term valuation framework and 478 00:25:51,760 --> 00:25:55,240 Speaker 6: you say the market is expensive today versus nineteen eighty 479 00:25:55,359 --> 00:25:59,240 Speaker 6: or nineteen ninety or even two thousand, the makeup of 480 00:25:59,280 --> 00:26:01,439 Speaker 6: the S and P five one hundred is so different 481 00:26:01,520 --> 00:26:03,879 Speaker 6: today that it's almost like apples to oranges. 482 00:26:04,359 --> 00:26:07,159 Speaker 4: How concerned are you, Savita that you know a lot 483 00:26:07,200 --> 00:26:09,120 Speaker 4: of folks tell you there's not a lot of breath 484 00:26:09,160 --> 00:26:11,600 Speaker 4: in this market. Yeah, you know, the Magnificent Seven have 485 00:26:12,040 --> 00:26:14,320 Speaker 4: everyonet to phrase it. There's not a lot of breath 486 00:26:14,320 --> 00:26:16,720 Speaker 4: in this market, and a lot of market folks would 487 00:26:16,720 --> 00:26:17,879 Speaker 4: say you that's not healthy. 488 00:26:18,440 --> 00:26:22,120 Speaker 6: What do you think, Well, again, we back tested this 489 00:26:22,280 --> 00:26:26,520 Speaker 6: breath indicator and it's not necessarily bullish or bearish. 490 00:26:26,680 --> 00:26:28,840 Speaker 8: So narrow markets. 491 00:26:28,400 --> 00:26:33,520 Speaker 6: Can precede strong goal markets with broad leadership. Narrow markets 492 00:26:33,520 --> 00:26:37,320 Speaker 6: can precede a downturn. There's no real rhyme or reason 493 00:26:37,400 --> 00:26:40,760 Speaker 6: to just the fact that the market is narrow. I 494 00:26:40,840 --> 00:26:42,480 Speaker 6: think you have to look at a whole bunch of 495 00:26:42,520 --> 00:26:46,800 Speaker 6: other other factors. What makes me more bullish on the 496 00:26:46,840 --> 00:26:50,760 Speaker 6: rest of the SMP versus the Magnificent seven is the 497 00:26:50,840 --> 00:26:56,080 Speaker 6: idea that when you look at expectations, expectations for the 498 00:26:56,119 --> 00:27:00,679 Speaker 6: Magnificent Seven are pretty aggressive, and we're now at point where, 499 00:27:01,040 --> 00:27:05,520 Speaker 6: you know, growth expectations are quite lofty. You know, our 500 00:27:05,560 --> 00:27:08,440 Speaker 6: analysts think that some of these companies meet or beat 501 00:27:08,440 --> 00:27:10,960 Speaker 6: those expectations. But if you look at the rest of 502 00:27:11,000 --> 00:27:13,760 Speaker 6: the market, what's actually interesting to me is that the 503 00:27:13,840 --> 00:27:18,280 Speaker 6: average consensus long term growth forecast for a company outside 504 00:27:18,320 --> 00:27:22,800 Speaker 6: of the Magnificent seven is the lowest we've seen in 505 00:27:22,920 --> 00:27:27,440 Speaker 6: twenty five years. This is a market where nobody's expecting 506 00:27:27,560 --> 00:27:31,119 Speaker 6: anything good to happen outside of AI or GLP. 507 00:27:30,880 --> 00:27:35,080 Speaker 2: One and the exuberance meter. We've seen that this week, Sevida, 508 00:27:35,440 --> 00:27:37,320 Speaker 2: I've been dying to ask you this, and this goes 509 00:27:37,359 --> 00:27:40,200 Speaker 2: back Paul to me and Sevida and Davos years ago 510 00:27:40,720 --> 00:27:44,360 Speaker 2: talking up ESG and folks to give you a framework here. 511 00:27:44,520 --> 00:27:50,600 Speaker 2: Miss Subermanian was the first to excel spreadsheet ESG just 512 00:27:50,640 --> 00:27:53,679 Speaker 2: as simple as that in October. I believe it was 513 00:27:53,680 --> 00:27:56,320 Speaker 2: in November and the ft one of our heroes. In 514 00:27:56,400 --> 00:28:02,359 Speaker 2: Yours to Sevida, Astra Demodrad wrote an essay ESG is 515 00:28:02,440 --> 00:28:08,520 Speaker 2: beyond redemption? May it rest in peace? Is ESG investing dead? 516 00:28:09,560 --> 00:28:09,840 Speaker 7: Look? 517 00:28:10,000 --> 00:28:13,480 Speaker 6: I think ESG is like anything else. There are good 518 00:28:13,480 --> 00:28:15,159 Speaker 6: ways to do it, bad ways. 519 00:28:14,920 --> 00:28:15,359 Speaker 7: To do it. 520 00:28:15,600 --> 00:28:18,439 Speaker 6: I actually don't even think it is a thing or 521 00:28:18,440 --> 00:28:21,760 Speaker 6: a concept. It's really just a new set of information 522 00:28:22,440 --> 00:28:26,679 Speaker 6: that's become formally available to us. I mean, analysts always 523 00:28:26,680 --> 00:28:30,480 Speaker 6: thought about governance. They always thought about companies with litigation 524 00:28:30,640 --> 00:28:32,719 Speaker 6: risk around bad environmental practices. 525 00:28:33,040 --> 00:28:35,200 Speaker 8: But I think now what's happened is it's become a. 526 00:28:35,119 --> 00:28:39,240 Speaker 6: Little more transparent through companies telling us more about themselves, 527 00:28:39,240 --> 00:28:39,920 Speaker 6: which is great. 528 00:28:40,000 --> 00:28:42,080 Speaker 8: I love data. Who doesn't love data? 529 00:28:42,240 --> 00:28:44,840 Speaker 6: So, you know, I think that's that's the crux of it, 530 00:28:44,880 --> 00:28:46,800 Speaker 6: is that you now have a little bit more insight 531 00:28:46,920 --> 00:28:51,160 Speaker 6: into the innards of a company beyond just the financials. 532 00:28:51,280 --> 00:28:54,440 Speaker 2: Savita, thank you so much. Savina Supermania and she is 533 00:28:54,440 --> 00:28:58,680 Speaker 2: with Bank of America. This is a Bloomberg Saveillance podcast, 534 00:28:58,920 --> 00:29:03,720 Speaker 2: bringing you the best economics, finance, investment, and international relations. 535 00:29:03,960 --> 00:29:07,320 Speaker 2: You can also watch the show live on YouTube. Visit 536 00:29:07,360 --> 00:29:11,520 Speaker 2: the Bloomberg Podcast channel on YouTube to see the show 537 00:29:11,760 --> 00:29:14,800 Speaker 2: weekday mornings from seven to ten am Eastern from our 538 00:29:14,840 --> 00:29:18,600 Speaker 2: global headquarters in New York City. Subscribe to the podcast 539 00:29:18,680 --> 00:29:22,680 Speaker 2: on Apple, Spotify, or anywhere else you listen, and always 540 00:29:22,840 --> 00:29:27,240 Speaker 2: on Bloomberg Radio, the Bloomberg Terminal, and the Bloomberg Business app.