1 00:00:02,520 --> 00:00:07,960 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:12,480 --> 00:00:16,560 Speaker 2: This is the Bloomberg Surveillance Podcast. Catch us live weekdays 3 00:00:16,560 --> 00:00:19,880 Speaker 2: at seven am Eastern on Apple CarPlay or Android Auto 4 00:00:19,880 --> 00:00:23,159 Speaker 2: with the Bloomberg Business App. Listen on demand wherever you 5 00:00:23,239 --> 00:00:26,520 Speaker 2: get your podcasts, or watch us live on YouTube. 6 00:00:26,640 --> 00:00:30,240 Speaker 1: We start strong, like Krugman, the Nobel Laureate, someone who's 7 00:00:30,320 --> 00:00:33,879 Speaker 1: changed American economics. Claudius Sam joins us, what do I 8 00:00:33,960 --> 00:00:36,360 Speaker 1: go to first? I usually don't do this, but I am. 9 00:00:36,800 --> 00:00:41,240 Speaker 1: The thirty year bond did not print five percent. We're 10 00:00:41,280 --> 00:00:43,720 Speaker 1: almost there. The high wast four point nine to nine 11 00:00:44,120 --> 00:00:48,160 Speaker 1: seven zero yields are up. The ten year real yield, 12 00:00:48,200 --> 00:00:52,320 Speaker 1: which is a pro statistic jumps. That's the right language. 13 00:00:52,320 --> 00:00:56,880 Speaker 1: Seven basis points two point three four percent for the 14 00:00:56,960 --> 00:01:01,720 Speaker 1: yield up. And again futures at negative fifty here completely unfair. 15 00:01:01,760 --> 00:01:05,440 Speaker 1: But we turned to Claudiusam again and thank her so 16 00:01:05,560 --> 00:01:08,040 Speaker 1: much for being with us. Claudia, I'm not going to 17 00:01:08,120 --> 00:01:10,959 Speaker 1: do the minutia of market economics with you as well. 18 00:01:11,640 --> 00:01:17,399 Speaker 1: But Anna Wong at Bloomberg absolutely nailed this optimism with 19 00:01:17,520 --> 00:01:21,600 Speaker 1: a gentle revision. Is it appropriate, doctor Salm, to take 20 00:01:21,640 --> 00:01:24,840 Speaker 1: a three month moving average to give Paul Sweeney and 21 00:01:24,920 --> 00:01:27,480 Speaker 1: me the pulse of American labor. 22 00:01:29,160 --> 00:01:30,920 Speaker 3: I always think a three month average is a good 23 00:01:30,959 --> 00:01:32,720 Speaker 3: place to a good place to start. 24 00:01:33,000 --> 00:01:35,479 Speaker 4: I mean, this isn't good numbers. 25 00:01:35,360 --> 00:01:38,000 Speaker 3: Right, you know, regardless of market reactions, good news is 26 00:01:38,040 --> 00:01:40,319 Speaker 3: good news. These are jobs being created. The unemployment rate 27 00:01:40,360 --> 00:01:44,080 Speaker 3: ticked down slightly, right, Like we need we need a 28 00:01:44,160 --> 00:01:46,640 Speaker 3: resilient labor market. We need a labor market that's working 29 00:01:46,640 --> 00:01:49,640 Speaker 3: for all workers if we're going to get through this year, right, 30 00:01:49,720 --> 00:01:52,560 Speaker 3: and so like to see leave twenty twenty four and 31 00:01:52,800 --> 00:01:55,840 Speaker 3: in a relatively good place like that is encouraging. So yeah, 32 00:01:55,840 --> 00:01:57,960 Speaker 3: I would take those numbers, and we've got a solid 33 00:01:58,000 --> 00:02:00,320 Speaker 3: labor market still, and that's more celebrated Paul. 34 00:02:00,400 --> 00:02:04,720 Speaker 1: Stephanie Roth nailed this at Wolf with the unemployment rate 35 00:02:04,800 --> 00:02:08,520 Speaker 1: four point two percent to four point one percent. Somehow, 36 00:02:08,560 --> 00:02:12,040 Speaker 1: I will suggest the President of the United States, mister Biden, 37 00:02:12,400 --> 00:02:13,880 Speaker 1: will mention that somewhere at. 38 00:02:13,760 --> 00:02:18,120 Speaker 5: Some point today exactly, Claudia, how about the wages out there? 39 00:02:18,360 --> 00:02:21,680 Speaker 5: The consensus was for our four percent annualized growth rate, 40 00:02:21,720 --> 00:02:24,160 Speaker 5: and average hourly earnings came in a three point nine percent. 41 00:02:24,160 --> 00:02:26,080 Speaker 6: How do you think about the wage environment out there? 42 00:02:27,320 --> 00:02:30,000 Speaker 3: So I think the wage environment is pretty benign, at 43 00:02:30,080 --> 00:02:32,960 Speaker 3: least when we think about inflationary impacts. I mean, these 44 00:02:33,000 --> 00:02:36,280 Speaker 3: are still these are still good wage growth numbers for 45 00:02:36,680 --> 00:02:38,840 Speaker 3: American workers, and that's important for making up for the 46 00:02:38,880 --> 00:02:41,320 Speaker 3: prior price increases that we've seen. But in terms of 47 00:02:41,320 --> 00:02:43,160 Speaker 3: the FED being concerned about it, and they've told us 48 00:02:43,200 --> 00:02:45,120 Speaker 3: for some time that they don't look at these numbers 49 00:02:45,160 --> 00:02:47,720 Speaker 3: and they're concerned, you know, it's a it's a tick down. 50 00:02:47,760 --> 00:02:50,120 Speaker 3: But essentially we've been in that same place. And if 51 00:02:50,160 --> 00:02:53,080 Speaker 3: you look across a wide range of wage measures, which 52 00:02:53,440 --> 00:02:56,160 Speaker 3: some more recent research coming out of the FED is done, 53 00:02:56,240 --> 00:02:59,360 Speaker 3: I mean these the underlying pace of wage growth really 54 00:02:59,440 --> 00:03:02,640 Speaker 3: is pretty close to pre pandemic pay. So this is 55 00:03:02,680 --> 00:03:05,880 Speaker 3: not something that FED should be getting real concerned about. 56 00:03:06,320 --> 00:03:08,880 Speaker 1: Doctor Sam, Thank you so much. This has become so 57 00:03:09,080 --> 00:03:11,240 Speaker 1: wonderful to have you with us at a thirty with 58 00:03:11,320 --> 00:03:15,040 Speaker 1: your impact on academic and market economics. Claudia Sam with 59 00:03:15,200 --> 00:03:18,720 Speaker 1: us on this job's Day and now from Morgan Stanley, 60 00:03:18,800 --> 00:03:22,800 Speaker 1: ellen Zenner joins us. Ellen. I want to go into 61 00:03:22,840 --> 00:03:24,640 Speaker 1: the data and all that, but I want to go 62 00:03:24,720 --> 00:03:27,880 Speaker 1: back to early ellen Zettner, which only you and I 63 00:03:27,960 --> 00:03:28,840 Speaker 1: were around. 64 00:03:28,760 --> 00:03:31,639 Speaker 7: I'm coming in hot, just like a coming in hot. 65 00:03:31,760 --> 00:03:36,080 Speaker 1: You made your name analyzing the American consumer. To me, 66 00:03:36,200 --> 00:03:39,440 Speaker 1: that was the great error of economics in the past. 67 00:03:39,840 --> 00:03:42,120 Speaker 1: In the past eighteen months. Paul and I opened the 68 00:03:42,160 --> 00:03:46,160 Speaker 1: show with the booming Delta Airlines. What does Morgan Stanley 69 00:03:46,160 --> 00:03:49,800 Speaker 1: see is the state of the American consumer? Given this 70 00:03:50,040 --> 00:03:51,240 Speaker 1: bang on jobs. 71 00:03:50,960 --> 00:03:54,800 Speaker 7: Report, Not a lot has changed, right. People are still 72 00:03:54,840 --> 00:04:00,160 Speaker 7: spending on services, not so much on goods, travel, travel, travel, 73 00:04:00,400 --> 00:04:03,600 Speaker 7: and especially the wealthy consumers, and so not a whole 74 00:04:03,640 --> 00:04:06,240 Speaker 7: lot has changed in this report. We see it too, right, 75 00:04:06,840 --> 00:04:11,480 Speaker 7: goods in the jobs sector down, Spending on goods not 76 00:04:11,520 --> 00:04:14,240 Speaker 7: as strong as services. You know, goods are going to 77 00:04:14,280 --> 00:04:18,240 Speaker 7: be impacted by tear us more so than services, and 78 00:04:18,279 --> 00:04:21,560 Speaker 7: so we're going to continue to see that shift between 79 00:04:22,400 --> 00:04:26,560 Speaker 7: services gaining sharing at the expensive goods. But this is 80 00:04:26,600 --> 00:04:30,440 Speaker 7: a more of the same good jobs market. And yes, 81 00:04:30,440 --> 00:04:32,360 Speaker 7: there was a lot of rebound in this number from 82 00:04:32,440 --> 00:04:34,479 Speaker 7: hurricanes and strike in the last month, and that was 83 00:04:34,520 --> 00:04:37,200 Speaker 7: really the guess on how much of that payback we 84 00:04:37,240 --> 00:04:39,719 Speaker 7: would get in this number. It's still the story that 85 00:04:39,760 --> 00:04:44,440 Speaker 7: we've got some ever so gradual softening of the labor market. 86 00:04:44,640 --> 00:04:45,680 Speaker 4: Man, it's gradual. 87 00:04:46,520 --> 00:04:48,239 Speaker 6: So I mean, how do you think the Federal Reserve 88 00:04:48,320 --> 00:04:51,240 Speaker 6: is going to kind of ingest this data to way? 89 00:04:52,000 --> 00:04:55,320 Speaker 7: I don't know what number would have gotten them to 90 00:04:55,400 --> 00:04:58,920 Speaker 7: change their thoughts about being on hold here. I think 91 00:04:58,920 --> 00:05:01,960 Speaker 7: in December I was more in the camp that the 92 00:05:02,040 --> 00:05:05,040 Speaker 7: language that they used, the boilerplate language that they used, 93 00:05:06,000 --> 00:05:09,280 Speaker 7: basically was a hard pause. And now with the January meeting, 94 00:05:09,320 --> 00:05:11,159 Speaker 7: it's the housekeeping meeting where you have a lot of 95 00:05:11,160 --> 00:05:13,920 Speaker 7: shifts and voters come in and out. You've got even 96 00:05:13,960 --> 00:05:17,320 Speaker 7: more of a divergence between doves and hawks on the Fed, 97 00:05:17,880 --> 00:05:21,880 Speaker 7: and you've got uncertainty around fiscal policy, and uncertainty means 98 00:05:21,880 --> 00:05:24,560 Speaker 7: policy paralysis. Just on hold here and we'll let you 99 00:05:24,640 --> 00:05:25,800 Speaker 7: know when it's time to move again. 100 00:05:25,960 --> 00:05:29,240 Speaker 1: In the blur of this show, and trust me, folks, 101 00:05:29,000 --> 00:05:31,920 Speaker 1: there's like twenty people helping me and Paul get through this. 102 00:05:32,440 --> 00:05:37,080 Speaker 1: Every morning, I remember little things, whispers of things from 103 00:05:37,120 --> 00:05:40,400 Speaker 1: weeks ago, and one of them is an ellen Zeenner whisper. 104 00:05:40,720 --> 00:05:44,920 Speaker 1: You were heated at the polarity of consumption in America 105 00:05:45,320 --> 00:05:48,599 Speaker 1: and your definition of the haves to find the ellen 106 00:05:48,760 --> 00:05:53,239 Speaker 1: Zenner halves in America enjoying a four point one percent 107 00:05:53,320 --> 00:05:54,200 Speaker 1: unemployment rate. 108 00:05:54,320 --> 00:05:59,120 Speaker 7: Well, so the unemployment rate we saw the under employment 109 00:05:59,200 --> 00:06:02,760 Speaker 7: rate also hum down seven. We're giving strength all the 110 00:06:02,760 --> 00:06:05,480 Speaker 7: way down to the most underserved in the labor market. 111 00:06:05,760 --> 00:06:08,880 Speaker 7: But that bifurcation of the consumer, the top two income 112 00:06:08,960 --> 00:06:11,799 Speaker 7: quintiles is more than sixty percent of all consumer spending, 113 00:06:12,400 --> 00:06:12,760 Speaker 7: and a. 114 00:06:12,960 --> 00:06:15,919 Speaker 1: Fifth of America is sixty percent. 115 00:06:15,640 --> 00:06:20,560 Speaker 7: Of consumption one two fifths one, one fifth is forty five. 116 00:06:20,960 --> 00:06:23,080 Speaker 1: I just got a C minus and marine. 117 00:06:23,560 --> 00:06:25,279 Speaker 7: Well, you know I'm here to keep you honest. 118 00:06:25,279 --> 00:06:26,160 Speaker 4: Tom, there we go. 119 00:06:26,320 --> 00:06:31,719 Speaker 1: But Paul, this is incredible. One two fifths right, forty percent? 120 00:06:31,760 --> 00:06:33,040 Speaker 1: Now am I close more. 121 00:06:32,920 --> 00:06:38,920 Speaker 7: Than sixty percent? We're just not getting this. It's a 122 00:06:38,960 --> 00:06:41,480 Speaker 7: whole lot. Let's just say that a lot lot. 123 00:06:42,440 --> 00:06:44,719 Speaker 5: So how does that inform kind of your view of 124 00:06:44,800 --> 00:06:47,240 Speaker 5: kind of investment opportunities out there? Because it seems like 125 00:06:47,279 --> 00:06:49,159 Speaker 5: the economy, whether you're looking at labor, where you're looking 126 00:06:49,160 --> 00:06:51,640 Speaker 5: at the consumer, whether you're looking at the Fed, things 127 00:06:51,680 --> 00:06:54,040 Speaker 5: seem to be in pretty decent shape out there. 128 00:06:54,120 --> 00:06:56,480 Speaker 7: Right, Yeah, things are pretty decent shape. I think that 129 00:06:56,480 --> 00:06:59,360 Speaker 7: it means it's going to be higher, higher for longer 130 00:06:59,400 --> 00:07:02,160 Speaker 7: interest rate. It doesn't mean the Fed's not going to 131 00:07:02,240 --> 00:07:04,360 Speaker 7: cut this year, and I certainly wouldn't put bets that 132 00:07:04,360 --> 00:07:07,520 Speaker 7: they're going to hike based on this report, right. I 133 00:07:07,560 --> 00:07:10,320 Speaker 7: would still put a very low probability that they hike 134 00:07:10,440 --> 00:07:10,760 Speaker 7: at some. 135 00:07:10,720 --> 00:07:11,480 Speaker 4: Point this year. 136 00:07:12,040 --> 00:07:14,360 Speaker 7: But what you've got to do as a policy maker, 137 00:07:14,360 --> 00:07:18,120 Speaker 7: if you're doing prudent policy making, even when we start 138 00:07:18,160 --> 00:07:21,440 Speaker 7: to get a flurry of executive orders after January twentieth, 139 00:07:22,240 --> 00:07:26,119 Speaker 7: you want to look through price increases from tariffs because 140 00:07:26,120 --> 00:07:27,960 Speaker 7: on the other side of that, you get a hit 141 00:07:28,000 --> 00:07:31,280 Speaker 7: to aggregate demand. When that comes through, the FED could 142 00:07:31,400 --> 00:07:33,760 Speaker 7: still be cutting but later this year. 143 00:07:33,920 --> 00:07:35,960 Speaker 1: The tech team Seth Carpenter and Elan Zettner is the 144 00:07:36,000 --> 00:07:38,520 Speaker 1: way to go at Morgan Stanley Ellen. This headline just 145 00:07:38,600 --> 00:07:41,000 Speaker 1: out and I usually don't do this, but it gets 146 00:07:41,040 --> 00:07:42,840 Speaker 1: to what your meetings are going to be like at 147 00:07:42,880 --> 00:07:47,280 Speaker 1: Morgan Stanley today. Trader shift full pricing of next FED 148 00:07:47,360 --> 00:07:51,680 Speaker 1: rate cut to October. Wow, that's wow. Okay for you, 149 00:07:51,800 --> 00:07:52,320 Speaker 1: that's wow. 150 00:07:52,520 --> 00:07:53,640 Speaker 4: To me, that's a wow. 151 00:07:53,800 --> 00:07:56,480 Speaker 7: That's a wow because I have been one of the 152 00:07:56,480 --> 00:07:59,000 Speaker 7: scenarios out there is that the Fed's gonna cut, and 153 00:07:59,040 --> 00:08:01,360 Speaker 7: maybe the cut just as much as they're saying they 154 00:08:01,400 --> 00:08:05,200 Speaker 7: might cut this year, but it comes later later, because 155 00:08:05,240 --> 00:08:07,480 Speaker 7: they really have to see what policies come out of 156 00:08:07,480 --> 00:08:10,680 Speaker 7: the administration and if they do hit demand later on. 157 00:08:10,840 --> 00:08:13,240 Speaker 1: Okay, no, you're not in speaking terms of Seth Carpenter. 158 00:08:13,280 --> 00:08:15,400 Speaker 1: But the basic idea here we are is you have 159 00:08:15,480 --> 00:08:20,960 Speaker 1: a twisted economics because you're Texas. You are hard wired. 160 00:08:21,240 --> 00:08:26,520 Speaker 1: I'm realneur, No, I'm serious, You're hardwired the entrepreneurial nature 161 00:08:26,520 --> 00:08:30,480 Speaker 1: of America. Do you Seth Carpenter, Richard Berner, Steve Roach, 162 00:08:30,520 --> 00:08:34,040 Speaker 1: and everyone else in the game. Do we underestimate the 163 00:08:34,240 --> 00:08:38,120 Speaker 1: entrepreneurial spirit of say someone like Michael Dell. 164 00:08:38,200 --> 00:08:41,640 Speaker 7: I don't know if we underminestimate the entrepreneurial spirit, but 165 00:08:41,640 --> 00:08:47,160 Speaker 7: but it was it was. It was gangbusters during COVID 166 00:08:47,640 --> 00:08:50,480 Speaker 7: when people were able to have a rethink and take 167 00:08:50,520 --> 00:08:54,840 Speaker 7: advantage of excess income, low interest rates, and we saw 168 00:08:54,960 --> 00:09:04,120 Speaker 7: a proliferation of business startups. And that's always productive, fraudy 169 00:09:04,160 --> 00:09:06,480 Speaker 7: for the economy. It's just just a positive all the 170 00:09:06,520 --> 00:09:09,040 Speaker 7: way around. Now we're seeing productivity gains from the labor 171 00:09:09,080 --> 00:09:12,079 Speaker 7: market having been so tight for so long that businesses 172 00:09:12,120 --> 00:09:15,120 Speaker 7: sought efficiencies, and that's coming through now. That's not even 173 00:09:15,160 --> 00:09:21,000 Speaker 7: AI yet, So American exceptionalism is real. It's very real. 174 00:09:21,480 --> 00:09:23,760 Speaker 6: Did you change your outlook? Will you change your outlook 175 00:09:23,800 --> 00:09:26,040 Speaker 6: now that we are having a new administration come in 176 00:09:26,080 --> 00:09:29,880 Speaker 6: and you know, a kind of more solid Republican Congress? 177 00:09:30,200 --> 00:09:35,200 Speaker 7: No, no, no, I think that you know, pick your baseline. 178 00:09:35,440 --> 00:09:37,240 Speaker 7: I mean, none of us know what's going to come 179 00:09:37,240 --> 00:09:41,200 Speaker 7: out of the administration after January twentieth, and so whatever 180 00:09:41,280 --> 00:09:43,000 Speaker 7: baseline you have, it's going to be wrong. 181 00:09:43,400 --> 00:09:43,640 Speaker 1: Yep. 182 00:09:43,840 --> 00:09:46,480 Speaker 7: So you just have a lot of scenarios, and one 183 00:09:46,520 --> 00:09:49,640 Speaker 7: of those scenarios will be sort of in the pocket 184 00:09:49,679 --> 00:09:50,560 Speaker 7: of what we get. 185 00:09:51,080 --> 00:09:53,600 Speaker 1: What does it mean for the markets? For the stock market, 186 00:09:53,640 --> 00:09:56,760 Speaker 1: I mean it's away from your remit is Chief Economic 187 00:09:56,840 --> 00:10:00,600 Speaker 1: strategist GLO. I love this global ahead of thematic. Sure 188 00:10:00,720 --> 00:10:04,000 Speaker 1: job is to fix the Dallas cowboys? What is What 189 00:10:04,040 --> 00:10:06,240 Speaker 1: does it mean for the stock market? If you're sitting 190 00:10:06,240 --> 00:10:08,360 Speaker 1: down with Lisa Shallotte, what do you tell her? 191 00:10:08,880 --> 00:10:11,800 Speaker 7: Yeah? So Lisa and I are tied at the hip 192 00:10:11,880 --> 00:10:15,720 Speaker 7: now both on the Global Investment Committee at Morgan Stanley. Uh, 193 00:10:15,760 --> 00:10:20,319 Speaker 7: And look, I wouldn't be investing in aggregate indexes here 194 00:10:21,120 --> 00:10:23,480 Speaker 7: because policies are going to come fast and furious, and 195 00:10:23,520 --> 00:10:26,440 Speaker 7: they're going to infect certain pockets of the market. So 196 00:10:26,480 --> 00:10:28,199 Speaker 7: you want to be in real assets, you want to 197 00:10:28,200 --> 00:10:30,960 Speaker 7: be in energy, you want to be in commodities, you. 198 00:10:30,880 --> 00:10:32,439 Speaker 6: Want to be she's got a game. 199 00:10:32,600 --> 00:10:38,280 Speaker 7: I'll throw a paw in there. Oh, yes, today are 200 00:10:38,480 --> 00:10:40,199 Speaker 7: watching course, I'm watching Landman. 201 00:10:40,480 --> 00:10:42,760 Speaker 1: Okay, Well, what do you think Sweety's all into it? 202 00:10:42,880 --> 00:10:43,360 Speaker 1: I mean, is it? 203 00:10:43,480 --> 00:10:45,040 Speaker 4: Well, I don't know a lot about the patch. 204 00:10:45,080 --> 00:10:48,240 Speaker 7: I'm probably learning just as much as everybody else it. 205 00:10:49,040 --> 00:10:51,520 Speaker 7: You know, it's not a whole lot going on in 206 00:10:51,600 --> 00:10:52,439 Speaker 7: West Texas. 207 00:10:52,440 --> 00:10:54,959 Speaker 1: But you're plus on oil and energy. 208 00:10:55,040 --> 00:10:59,720 Speaker 7: Oil and American energy reads, healthcare financials because it's going 209 00:10:59,800 --> 00:11:03,120 Speaker 7: to be higher for longer interest rates, and so there 210 00:11:03,160 --> 00:11:06,440 Speaker 7: are plenty of pockets of investment right now. We're very, 211 00:11:06,559 --> 00:11:11,000 Speaker 7: very big on thematic investing AI and defense and specifically 212 00:11:11,120 --> 00:11:15,520 Speaker 7: software software. So there are pockets, and there are things 213 00:11:15,520 --> 00:11:18,480 Speaker 7: that we're excited about this year, and they avoid you 214 00:11:18,520 --> 00:11:21,040 Speaker 7: want to avoid things that are super impacted by the 215 00:11:21,120 --> 00:11:23,880 Speaker 7: volatility around what policies could come out of the administration. 216 00:11:24,240 --> 00:11:27,280 Speaker 1: Ellen, thank you. Allen'sler with us with Morgan Stanley. We 217 00:11:27,320 --> 00:11:29,400 Speaker 1: are so honored. In short notice she came into the 218 00:11:29,480 --> 00:11:32,240 Speaker 1: Rebecca Patterson is with us with all of our work 219 00:11:32,280 --> 00:11:34,600 Speaker 1: at Bridgewater over the years, and of course at best 220 00:11:34,640 --> 00:11:39,440 Speaker 1: in her trust as well. What does boring quiet money 221 00:11:39,520 --> 00:11:42,960 Speaker 1: do given the shock of a two hundred and fifty 222 00:11:43,000 --> 00:11:47,000 Speaker 1: six thousands to woe is Me, doom and gloom America, 223 00:11:47,280 --> 00:11:50,520 Speaker 1: forget about it? What does quiet money do this year? 224 00:11:51,120 --> 00:11:55,120 Speaker 8: I think quiet money is already invested in equities, and 225 00:11:55,440 --> 00:11:57,600 Speaker 8: as long as the consumer is holding in and they 226 00:11:57,640 --> 00:12:00,520 Speaker 8: have jobs and the confidence to spend in today's says 227 00:12:00,559 --> 00:12:03,719 Speaker 8: they do, then I think you can stay in equities now. 228 00:12:03,760 --> 00:12:07,480 Speaker 8: Given valuations, the upside's going to be a little more 229 00:12:07,520 --> 00:12:11,679 Speaker 8: limited unless we keep getting positive surprises. The challenge, I 230 00:12:11,720 --> 00:12:13,640 Speaker 8: think is where do you go in the equity market? 231 00:12:13,720 --> 00:12:13,880 Speaker 9: Right? 232 00:12:13,960 --> 00:12:17,600 Speaker 8: Small cap initially rallied on the Trump win, thinking deregulation, 233 00:12:17,760 --> 00:12:20,120 Speaker 8: lower rates, it's going to be great, And they've given 234 00:12:20,200 --> 00:12:23,120 Speaker 8: back all of those gains from right after the election 235 00:12:23,280 --> 00:12:27,959 Speaker 8: because of rising yields. Small cap needs strong growth and 236 00:12:28,080 --> 00:12:30,680 Speaker 8: lower yields, and right now they're not getting enough of both. 237 00:12:30,960 --> 00:12:33,640 Speaker 1: Lisa, thanks for doing that report. Sweeney was occupied. I 238 00:12:33,640 --> 00:12:36,240 Speaker 1: saw him on the phone with his realtor. Yeah, I 239 00:12:36,280 --> 00:12:39,520 Speaker 1: got a thirty year bond four point nine to ninety percent. Wow, 240 00:12:39,640 --> 00:12:41,319 Speaker 1: Paul does that change the landscape. 241 00:12:41,360 --> 00:12:43,360 Speaker 5: It does, Tom, and you got a big movement on 242 00:12:43,400 --> 00:12:44,920 Speaker 5: the front end of the curve the two years up 243 00:12:44,960 --> 00:12:47,679 Speaker 5: ten basis points four point three six percent there. 244 00:12:47,920 --> 00:12:49,480 Speaker 6: So, Rebecca, how do. 245 00:12:49,520 --> 00:12:52,400 Speaker 5: You think the Fed is going to digest this data 246 00:12:52,440 --> 00:12:55,320 Speaker 5: that received today because we the labor market looks pretty solid. 247 00:12:55,400 --> 00:12:57,480 Speaker 8: Yeah, I mean, I agree with Ellen who has just 248 00:12:57,559 --> 00:13:02,280 Speaker 8: done before me that a January pause is baked, fully baked. Gotcha, 249 00:13:02,400 --> 00:13:04,840 Speaker 8: And now the market is discounting that the first or 250 00:13:04,960 --> 00:13:07,080 Speaker 8: next i should say cut or the first cut this 251 00:13:07,160 --> 00:13:11,520 Speaker 8: year doesn't come till October. Who the heck knows, right, 252 00:13:11,559 --> 00:13:13,600 Speaker 8: It's going to depend on all the policies that get 253 00:13:13,679 --> 00:13:16,760 Speaker 8: rolled out. If the economy slows, if something cracks with 254 00:13:16,800 --> 00:13:19,560 Speaker 8: the upper income consumer to hurt their confidence and cause 255 00:13:19,559 --> 00:13:22,520 Speaker 8: them to pull back spending. This picture can change. If 256 00:13:22,559 --> 00:13:24,840 Speaker 8: immigrants fall sharply, wage. 257 00:13:24,520 --> 00:13:26,800 Speaker 6: Costs go up, that could. I mean, there's a. 258 00:13:26,760 --> 00:13:28,960 Speaker 8: Lot of variables that could move us in either direction. 259 00:13:29,200 --> 00:13:32,560 Speaker 8: So to me, in October cut doesn't seem crazy. I'm 260 00:13:32,720 --> 00:13:35,080 Speaker 8: I'm more interested right now. And what's going on in 261 00:13:35,120 --> 00:13:38,240 Speaker 8: the long end. The tenure yield going up, pushing up 262 00:13:38,280 --> 00:13:41,200 Speaker 8: mortgage rates, which is hurting the housing market, but also 263 00:13:41,240 --> 00:13:44,480 Speaker 8: what's causing it? Right, and we we should talk about term. 264 00:13:44,320 --> 00:13:46,040 Speaker 1: Pre Well we do that right now. Where you talking 265 00:13:46,040 --> 00:13:49,000 Speaker 1: about term premium because doctor Patterson said, Tom, we're talking 266 00:13:49,320 --> 00:13:51,720 Speaker 1: about term premit. Look, let me cut to the chase 267 00:13:52,000 --> 00:13:55,359 Speaker 1: you have been vetted. Is a FED governor, a president, 268 00:13:55,720 --> 00:13:57,880 Speaker 1: I don't know, somebody you know carrying coffee at the 269 00:13:57,920 --> 00:14:02,600 Speaker 1: Ecchos building. Whatever you've been vetted, Rebecca Patterson, this live 270 00:14:02,679 --> 00:14:05,800 Speaker 1: tweet says it all. The last cut was a mistake. 271 00:14:05,960 --> 00:14:09,880 Speaker 1: It killed the Santa rally. Fold the last cut into 272 00:14:09,920 --> 00:14:12,120 Speaker 1: your concern about rising yields. 273 00:14:12,080 --> 00:14:14,360 Speaker 8: Well, it's fascinating that as the Fed has cut a 274 00:14:14,440 --> 00:14:17,080 Speaker 8: hundred basis points, the tenure yield has gone up more 275 00:14:17,160 --> 00:14:18,440 Speaker 8: than one hundred basis points. 276 00:14:18,480 --> 00:14:20,040 Speaker 4: It's highly, highly unusual. 277 00:14:20,440 --> 00:14:22,880 Speaker 8: What I'm worried about now is if the rise in 278 00:14:23,040 --> 00:14:25,800 Speaker 8: yields is not a reflection of growth. I think today's 279 00:14:25,840 --> 00:14:29,200 Speaker 8: move right now and the tenure is stronger labor markets, 280 00:14:29,480 --> 00:14:32,040 Speaker 8: so a higher FED funds rate and strong growth, that's 281 00:14:32,080 --> 00:14:32,800 Speaker 8: not a bad thing. 282 00:14:33,280 --> 00:14:33,800 Speaker 6: But if the. 283 00:14:33,800 --> 00:14:37,480 Speaker 8: Tenure is going up because of uncertainty around policy, around 284 00:14:37,480 --> 00:14:40,960 Speaker 8: FED independence, around inflation, then you are going to see 285 00:14:41,040 --> 00:14:44,840 Speaker 8: rising yields herting stocks, and we've seen that pattern over history. 286 00:14:44,920 --> 00:14:47,280 Speaker 8: That's what I'm worried about, not the level of the yield. 287 00:14:47,520 --> 00:14:49,080 Speaker 8: What's causing the rise. 288 00:14:48,840 --> 00:14:49,280 Speaker 4: In the yield? 289 00:14:49,320 --> 00:14:51,160 Speaker 5: Well, just to that point towards the slock just in 290 00:14:51,160 --> 00:14:53,120 Speaker 5: a matter of minutes was out with a little note here. 291 00:14:53,600 --> 00:14:56,600 Speaker 5: Higher for longer continues to be the key theme in markets. 292 00:14:56,800 --> 00:14:59,040 Speaker 5: Higher for longer in the front end because of the 293 00:14:59,080 --> 00:15:02,040 Speaker 5: strong economy, higher for longer in the long end because 294 00:15:02,040 --> 00:15:03,520 Speaker 5: of a strong economy. 295 00:15:03,440 --> 00:15:05,800 Speaker 6: And fiscal worries, which goes to your point. 296 00:15:05,880 --> 00:15:07,640 Speaker 5: So I guess that kind of goes to the question 297 00:15:08,480 --> 00:15:11,160 Speaker 5: when are higher interest rates a real problem for stocks? 298 00:15:11,960 --> 00:15:16,480 Speaker 8: Again? Psychologically maybe if we crack five percent, that could 299 00:15:16,520 --> 00:15:19,320 Speaker 8: do some damage in a short term basis, but I 300 00:15:19,320 --> 00:15:22,000 Speaker 8: think I think the bigger deal is going to be 301 00:15:22,040 --> 00:15:26,080 Speaker 8: Again what's causing it. I'm watching things like Economic Surprise Index. 302 00:15:26,480 --> 00:15:30,400 Speaker 8: If growth surprises are disappointing, that's bad for term premium, 303 00:15:30,440 --> 00:15:32,360 Speaker 8: i e. Term premium goes up in a bad way. 304 00:15:32,680 --> 00:15:35,960 Speaker 8: If inflation expectations we have data Monday, we have CPI 305 00:15:36,080 --> 00:15:39,120 Speaker 8: coming up. If those things are moving in the wrong direction, 306 00:15:39,200 --> 00:15:42,880 Speaker 8: and also earnings, Look what these CEOs and CFOs are 307 00:15:42,880 --> 00:15:46,680 Speaker 8: saying if they're highlighting fiscal worries, if they're highlighting rates, 308 00:15:47,080 --> 00:15:50,040 Speaker 8: that could get reflected pretty quickly in term premium, also 309 00:15:50,040 --> 00:15:50,560 Speaker 8: pushing up you. 310 00:15:50,760 --> 00:15:52,080 Speaker 1: Yeah, that's right, we wanted to go. I'm going to 311 00:15:52,120 --> 00:15:54,840 Speaker 1: pick on Brian moynihan. I could be James Diamond or 312 00:15:54,840 --> 00:15:59,000 Speaker 1: Frankly any other C class officer out there. They've got 313 00:15:59,000 --> 00:16:01,880 Speaker 1: the bright lights of I got a two hundred and 314 00:16:01,880 --> 00:16:06,040 Speaker 1: fifty six thousand jobs report four point one percent. I'm sorry, 315 00:16:06,240 --> 00:16:11,640 Speaker 1: that's an anominal GDP locked in. Do we underestimate the 316 00:16:11,680 --> 00:16:15,160 Speaker 1: revenue growth that we're going to see all a Delta Airlines? Yeah, 317 00:16:15,200 --> 00:16:18,640 Speaker 1: six percent up in business class because Rebecca's flying around 318 00:16:18,680 --> 00:16:19,680 Speaker 1: the country on Delta. 319 00:16:19,760 --> 00:16:22,080 Speaker 8: Well, Delta is great. I mean, if you have to 320 00:16:22,120 --> 00:16:24,880 Speaker 8: pick one, that's that's the one that goes domestically, that's 321 00:16:24,880 --> 00:16:25,960 Speaker 8: whatever is taken. 322 00:16:26,120 --> 00:16:26,840 Speaker 4: Yeah, it's true. 323 00:16:26,920 --> 00:16:31,120 Speaker 1: I'm on air France and the fistfights exactly. They're all 324 00:16:31,120 --> 00:16:32,960 Speaker 1: talking in French. I don't know what they're saying. 325 00:16:33,080 --> 00:16:34,520 Speaker 6: So what are we doing here? 326 00:16:34,640 --> 00:16:37,760 Speaker 5: I think with the equity markets, one of the concerns is, boy, 327 00:16:37,800 --> 00:16:39,400 Speaker 5: we really have to if we're not going to get 328 00:16:39,400 --> 00:16:42,760 Speaker 5: a rate cut until October then boy, earnings really come 329 00:16:42,800 --> 00:16:44,560 Speaker 5: front center to support this market. 330 00:16:44,880 --> 00:16:46,680 Speaker 6: Is that a risk issue for you? 331 00:16:47,840 --> 00:16:51,000 Speaker 8: Yeah, because again there's a smaller and smaller chunk of 332 00:16:51,040 --> 00:16:52,840 Speaker 8: the consumer that's holding everything up. 333 00:16:52,920 --> 00:16:53,120 Speaker 6: Right. 334 00:16:53,200 --> 00:16:55,640 Speaker 8: The lower end consumer, we know, is hurting. So you 335 00:16:55,760 --> 00:16:58,600 Speaker 8: need the upper middle class and the upper income consumer 336 00:16:58,960 --> 00:17:02,240 Speaker 8: to continue spend. They can they have the jobs, they have, 337 00:17:02,280 --> 00:17:05,720 Speaker 8: the income, they have wealth creation from housing inequities. Do 338 00:17:05,760 --> 00:17:08,560 Speaker 8: they have the confidence and willingness to keep spending? And 339 00:17:09,000 --> 00:17:11,000 Speaker 8: that can change quickly? Right now, it looks. 340 00:17:10,760 --> 00:17:13,200 Speaker 1: Good, but with a nominal gd I mean, where would 341 00:17:13,240 --> 00:17:16,240 Speaker 1: you model out nominal GDP? I don't want you to 342 00:17:16,280 --> 00:17:18,000 Speaker 1: do it because I know you're not doing it, because 343 00:17:18,200 --> 00:17:20,320 Speaker 1: you know you're on in this wonderful garden. Leave. But 344 00:17:20,359 --> 00:17:23,000 Speaker 1: if you add an Excel spreadsheet in front of you, 345 00:17:23,000 --> 00:17:27,199 Speaker 1: you've got you've got to model four point eight percent 346 00:17:27,280 --> 00:17:30,920 Speaker 1: five percent five percent plus nominal GDP. 347 00:17:31,280 --> 00:17:34,159 Speaker 8: Right, yeah, yeah, no, it's hard to get barish on 348 00:17:34,280 --> 00:17:39,280 Speaker 8: equities in that environment. Again, the question is given valuations, 349 00:17:39,320 --> 00:17:42,040 Speaker 8: where do you go and the other thing beyond just 350 00:17:42,119 --> 00:17:45,240 Speaker 8: the consumer and the job market, think about tech, right, 351 00:17:45,359 --> 00:17:47,960 Speaker 8: we know, forget about Navidia. The rest of the mag 352 00:17:48,040 --> 00:17:50,119 Speaker 8: seven this year, next year, are going to be spending 353 00:17:50,119 --> 00:17:51,400 Speaker 8: two hundred and fifty billion. 354 00:17:51,520 --> 00:17:54,000 Speaker 1: Yeah, the Microsoft eighty billion number less. 355 00:17:53,800 --> 00:17:57,080 Speaker 8: Friday exactly, and that's money that's going into the economy, 356 00:17:57,119 --> 00:17:59,600 Speaker 8: also supporting this big nominal GDP number. 357 00:18:00,119 --> 00:18:02,800 Speaker 1: Your family members call us in time lose the jobs report. 358 00:18:02,880 --> 00:18:05,240 Speaker 1: Talk to her about the dollar. Oh, the dollar, call 359 00:18:05,280 --> 00:18:06,440 Speaker 1: for remccam patterson. 360 00:18:06,600 --> 00:18:09,160 Speaker 8: I think we have another strong dollar year. The thing 361 00:18:09,200 --> 00:18:13,480 Speaker 8: I'm focused on really is the Chinese rememby. They intervened 362 00:18:13,600 --> 00:18:18,959 Speaker 8: today to try to slow the depreciation. They need to depreciate. 363 00:18:19,000 --> 00:18:21,719 Speaker 8: But if they depreciate in a Trump administration, he's going 364 00:18:21,760 --> 00:18:23,920 Speaker 8: to come right back at him. And so what do 365 00:18:24,000 --> 00:18:26,880 Speaker 8: they do. They have to They have to stimulate the consumer. 366 00:18:26,920 --> 00:18:29,480 Speaker 8: That is their only way out, and so far President 367 00:18:29,560 --> 00:18:31,040 Speaker 8: she is not willing to give on that. 368 00:18:31,160 --> 00:18:33,920 Speaker 1: Can you model a vector of depreciation back to where 369 00:18:33,920 --> 00:18:37,000 Speaker 1: they were with weakness pre two thousand and five. I 370 00:18:37,000 --> 00:18:39,720 Speaker 1: think it was hoof that's a big move. 371 00:18:39,920 --> 00:18:41,280 Speaker 4: That's a big movie, trying to make some news. 372 00:18:41,520 --> 00:18:45,560 Speaker 8: Look in twenty eighteen, the rememby fell ten percent against 373 00:18:45,560 --> 00:18:49,720 Speaker 8: the dollar during the trade war. Most economists and strategists 374 00:18:49,720 --> 00:18:52,240 Speaker 8: I'm talking to think that is very likely to happen again. 375 00:18:52,320 --> 00:18:56,359 Speaker 8: So here's your headline. The Chinese rememby if the PBOC, 376 00:18:56,480 --> 00:18:58,760 Speaker 8: if the Central Bank lets it, is going to fall 377 00:18:58,760 --> 00:18:59,439 Speaker 8: ten percent or. 378 00:18:59,440 --> 00:18:59,960 Speaker 4: More this year. 379 00:19:00,280 --> 00:19:01,880 Speaker 6: The question is will they allow it? 380 00:19:01,960 --> 00:19:05,840 Speaker 8: Are they Are they going to avoid capital flight worries. 381 00:19:05,480 --> 00:19:07,040 Speaker 6: And prevent it, or are they. 382 00:19:06,920 --> 00:19:09,119 Speaker 8: Going to do it because they need it for exports, 383 00:19:09,119 --> 00:19:10,600 Speaker 8: they need it for manufacturing. 384 00:19:11,440 --> 00:19:13,600 Speaker 6: Did you change your outlook at all? Just real quickly? 385 00:19:13,680 --> 00:19:15,399 Speaker 6: With its new administration coming in. 386 00:19:15,640 --> 00:19:19,639 Speaker 8: I want to see which policies get pushed forward first 387 00:19:19,760 --> 00:19:22,399 Speaker 8: and the size that matters so much to me. So 388 00:19:22,440 --> 00:19:24,280 Speaker 8: I think we're all going to know a lot more, 389 00:19:24,400 --> 00:19:25,960 Speaker 8: probably by early February. 390 00:19:26,400 --> 00:19:28,400 Speaker 1: Thank you so much for coming in today. Reb Thank 391 00:19:28,440 --> 00:19:31,080 Speaker 1: you Gerson with us with great perspective. It's just like 392 00:19:31,600 --> 00:19:34,400 Speaker 1: I got goosebumps, folks. I mean, this is what it's about, Claudia. 393 00:19:34,480 --> 00:19:37,159 Speaker 1: So I'm Stephanie Roth. Before that, then we go to 394 00:19:37,200 --> 00:19:41,360 Speaker 1: Ellen Zettner. Ms. Patterson darkens the door with really important 395 00:19:41,359 --> 00:19:44,399 Speaker 1: comments there on currency, on the dollar strength. They got 396 00:19:44,400 --> 00:19:47,399 Speaker 1: a thirty year bond. Excuse me, Stephanie Roth. We go 397 00:19:47,440 --> 00:19:51,000 Speaker 1: out to four digits and surveillance five point zero zero 398 00:19:51,160 --> 00:19:54,440 Speaker 1: zero three sounds like a bank account number. We're at 399 00:19:54,440 --> 00:19:58,159 Speaker 1: five percent in a thirty year bond as well, and 400 00:19:58,200 --> 00:20:01,119 Speaker 1: then we finished wrong. I mean, I literally got ducky 401 00:20:01,119 --> 00:20:03,919 Speaker 1: bumps here. I can't I can't stand it. Christina Campman, 402 00:20:04,000 --> 00:20:07,720 Speaker 1: he joins us right now because she's gonna synthesize all 403 00:20:07,760 --> 00:20:11,919 Speaker 1: the sixty thousand feet garbage and bring it down to 404 00:20:12,160 --> 00:20:16,120 Speaker 1: yield and price and the comfort of what Paul Sweeney 405 00:20:16,160 --> 00:20:18,399 Speaker 1: talks about was I just want to get my money back. 406 00:20:18,920 --> 00:20:23,879 Speaker 1: Joining us from Invesco senior portfolio manager doesn't describe her abilities, 407 00:20:23,960 --> 00:20:29,280 Speaker 1: Christina cat Many yields are up? Are your portfolios hurting? 408 00:20:29,520 --> 00:20:31,200 Speaker 1: Because I believe price is down? 409 00:20:32,320 --> 00:20:35,000 Speaker 10: Prices are down. Look, we have been looking for a 410 00:20:35,040 --> 00:20:37,119 Speaker 10: sleeper curve. That's kind of been our thesis much of 411 00:20:37,200 --> 00:20:40,960 Speaker 10: last happening happening, And you take a step back. A 412 00:20:40,960 --> 00:20:43,400 Speaker 10: month ago, we sat down post payrolls, and I think 413 00:20:43,400 --> 00:20:45,800 Speaker 10: we talked about, like, what's a reasonable range for tens 414 00:20:45,800 --> 00:20:48,080 Speaker 10: when we have all of this uncertainty about policy and 415 00:20:48,119 --> 00:20:50,440 Speaker 10: what comes through. And we talked about four twenty five, 416 00:20:50,480 --> 00:20:52,960 Speaker 10: four seventy five, And I feel like throwing out four 417 00:20:53,040 --> 00:20:55,320 Speaker 10: seventy five. A month ago when we were sitting at 418 00:20:55,320 --> 00:20:56,960 Speaker 10: four twenty, people looked at you like. 419 00:20:56,920 --> 00:20:57,600 Speaker 4: You were crazy. 420 00:20:57,720 --> 00:21:01,200 Speaker 10: Yes we did, and here we are at four seventy eight, 421 00:21:01,240 --> 00:21:04,280 Speaker 10: and in that time you've had this massive reprice and 422 00:21:04,320 --> 00:21:07,280 Speaker 10: now you have this the market chatter talking about five 423 00:21:07,320 --> 00:21:08,960 Speaker 10: and five, twenty five and five fifty. 424 00:21:09,040 --> 00:21:10,480 Speaker 4: We've done a lot of work. 425 00:21:12,240 --> 00:21:15,280 Speaker 10: So I think from here to Ellen's point, like we're 426 00:21:15,280 --> 00:21:17,200 Speaker 10: all kind of in this holding pattern of what kind 427 00:21:17,200 --> 00:21:20,280 Speaker 10: of policies do we get and are there risks to 428 00:21:20,440 --> 00:21:23,399 Speaker 10: further higher yields for shore in a sepercurve? But I 429 00:21:23,440 --> 00:21:26,480 Speaker 10: think the bar for the Fed to hike is very high. 430 00:21:26,760 --> 00:21:28,280 Speaker 10: I think that there's a lot of value in the 431 00:21:28,280 --> 00:21:30,480 Speaker 10: front end, even with we sold off even more today. 432 00:21:30,520 --> 00:21:32,040 Speaker 4: I don't think we should be pricing at. 433 00:21:32,040 --> 00:21:34,640 Speaker 5: Hikes because again the red headline across in the Bloomberg 434 00:21:34,680 --> 00:21:37,000 Speaker 5: terminals that the traders are now saying maybe the first 435 00:21:37,080 --> 00:21:38,800 Speaker 5: rate cup won't till October. 436 00:21:39,040 --> 00:21:40,520 Speaker 6: Does that seem reasonable to you? 437 00:21:40,800 --> 00:21:44,120 Speaker 10: Look, I think part of that, when you strip it out, 438 00:21:44,200 --> 00:21:46,880 Speaker 10: is people pricing in, or the market pricing and trying 439 00:21:46,920 --> 00:21:49,000 Speaker 10: to price in some probability of a hike, which we 440 00:21:49,080 --> 00:21:50,480 Speaker 10: don't think is realistic. 441 00:21:50,520 --> 00:21:52,080 Speaker 4: But I think it's right that the FED. 442 00:21:51,920 --> 00:21:54,439 Speaker 10: Is in this weight and see period as is the 443 00:21:54,440 --> 00:21:58,520 Speaker 10: market of we know we're getting inauguration in a few weeks. 444 00:21:58,640 --> 00:22:00,639 Speaker 10: What are the policies? And it's still the question that 445 00:22:00,640 --> 00:22:03,359 Speaker 10: we've had since election day. What is the mix is? 446 00:22:03,720 --> 00:22:06,240 Speaker 10: What is the magnitude, What is the timing? What's the order? 447 00:22:06,680 --> 00:22:09,920 Speaker 1: Bring this back to the people listening and their commutes 448 00:22:09,920 --> 00:22:12,920 Speaker 1: this morning, the people waking up on the West Coast 449 00:22:13,000 --> 00:22:16,040 Speaker 1: and the shattered Los Angeles and even to the pros. 450 00:22:16,160 --> 00:22:19,320 Speaker 1: Forget about all the spread malarchy, forget about you know, 451 00:22:19,400 --> 00:22:22,520 Speaker 1: all the Frank Fobosei stuff. Do I just buy a 452 00:22:22,560 --> 00:22:25,879 Speaker 1: two year or a six month one year CD and 453 00:22:25,960 --> 00:22:27,359 Speaker 1: wait for the damage to clear. 454 00:22:27,760 --> 00:22:29,439 Speaker 10: Look, I think that you're starting to get to a 455 00:22:29,440 --> 00:22:31,840 Speaker 10: point that there's some value at the curve to say, 456 00:22:31,880 --> 00:22:35,520 Speaker 10: like should I invest the money out the curve? I 457 00:22:35,560 --> 00:22:37,919 Speaker 10: think tens is where you're safer. I think thirties you 458 00:22:38,000 --> 00:22:42,240 Speaker 10: have more. What is our fiscal what goes on? We've 459 00:22:42,520 --> 00:22:45,000 Speaker 10: and we're going to have this headline roulette, but we've 460 00:22:45,000 --> 00:22:45,680 Speaker 10: had that already. 461 00:22:45,720 --> 00:22:47,480 Speaker 4: Like to get rid of the debt ceiling, like you're 462 00:22:47,520 --> 00:22:49,280 Speaker 4: going to have noise there as a result. 463 00:22:49,680 --> 00:22:52,600 Speaker 10: So real yields is another one, Like you start to 464 00:22:52,600 --> 00:22:55,679 Speaker 10: talk about long end real yields around two fifty plus. 465 00:22:55,720 --> 00:23:00,800 Speaker 10: You're getting what inflation in fact realizes. As a personal investor, 466 00:23:00,880 --> 00:23:02,879 Speaker 10: that probably makes sense of can you put that in 467 00:23:02,920 --> 00:23:05,639 Speaker 10: your portfolio in a mix with you have some cash, 468 00:23:05,720 --> 00:23:07,480 Speaker 10: you have some combo of risk assets. 469 00:23:07,880 --> 00:23:10,840 Speaker 6: How about the credit risk here? How much credit risk 470 00:23:10,880 --> 00:23:11,919 Speaker 6: are you taking in this market? 471 00:23:12,160 --> 00:23:16,320 Speaker 10: So we have been a bit more cautious on US 472 00:23:16,400 --> 00:23:20,639 Speaker 10: credit risk, probably to our own detriment within our own funds, 473 00:23:20,720 --> 00:23:23,160 Speaker 10: and again we run global funds. We have obviously within 474 00:23:23,240 --> 00:23:28,600 Speaker 10: Invesco people that are more specifically just looking at credit. Again, 475 00:23:28,680 --> 00:23:30,760 Speaker 10: I say to our own detriment, because it's continued to 476 00:23:30,840 --> 00:23:33,160 Speaker 10: perform exceptionally well, and you look at even the start 477 00:23:33,160 --> 00:23:35,760 Speaker 10: of the year, like the corporate supply numbers this week 478 00:23:35,800 --> 00:23:36,520 Speaker 10: are incredible. 479 00:23:36,920 --> 00:23:40,720 Speaker 1: Why why why why why are they? 480 00:23:40,880 --> 00:23:43,160 Speaker 10: I think like part of it, part of it's probably 481 00:23:43,160 --> 00:23:45,080 Speaker 10: some of that, and part of it is just always 482 00:23:45,160 --> 00:23:48,720 Speaker 10: January cistin ols of calendar of issuance coming out. But 483 00:23:49,119 --> 00:23:53,080 Speaker 10: you look at that and IG spreads are incredibly well behaved, 484 00:23:53,320 --> 00:23:56,679 Speaker 10: and I think you have this sentiment in the market 485 00:23:56,880 --> 00:24:00,440 Speaker 10: about positive US and really negative the rest of the world, 486 00:24:00,560 --> 00:24:03,920 Speaker 10: And so is there some risk that US credit can 487 00:24:04,080 --> 00:24:08,520 Speaker 10: in fact widen because the sentiment is so rock solid 488 00:24:08,520 --> 00:24:09,720 Speaker 10: there that you could have a breakback. 489 00:24:09,840 --> 00:24:11,840 Speaker 1: You can't talk individuals. But let's say one of the 490 00:24:11,920 --> 00:24:14,040 Speaker 1: mag seven calls up and goes Christina and we need 491 00:24:14,080 --> 00:24:16,400 Speaker 1: a cup of coffee. What do you tell them about 492 00:24:16,440 --> 00:24:21,480 Speaker 1: the magnitude of debt issuance? Now, yields are up. Instinctively, 493 00:24:21,520 --> 00:24:24,840 Speaker 1: Paul and like, don't issue. And yet, as Christina mentions, 494 00:24:24,880 --> 00:24:27,560 Speaker 1: it's been nuts. Is that what we're going to see here? 495 00:24:27,720 --> 00:24:28,320 Speaker 4: It's been nuts? 496 00:24:28,359 --> 00:24:32,639 Speaker 10: And I think the market is more sensitive and reactive 497 00:24:33,240 --> 00:24:36,760 Speaker 10: to I don't think on a corporate level, there's a 498 00:24:36,760 --> 00:24:40,720 Speaker 10: lot of concern of you have strong balance sheets, you 499 00:24:40,760 --> 00:24:45,240 Speaker 10: have a strong consumer, and then from nations, if you look. 500 00:24:45,160 --> 00:24:48,200 Speaker 4: At like debt levels, US debt levels. 501 00:24:48,000 --> 00:24:50,960 Speaker 10: Are things that you think the market should be like 502 00:24:50,960 --> 00:24:52,879 Speaker 10: like falling out of its chair for a number of 503 00:24:53,000 --> 00:24:56,240 Speaker 10: years now as we push this, but the market gives 504 00:24:56,280 --> 00:24:59,320 Speaker 10: a lot of You've had this US exceptionalism story for 505 00:24:59,480 --> 00:25:03,240 Speaker 10: a decade, so it gives the US a lot of grace. 506 00:25:03,400 --> 00:25:06,480 Speaker 1: Paul, get one more question in here, folks. Anna Wong 507 00:25:06,560 --> 00:25:09,399 Speaker 1: will join us with a market open at nine point thirty. 508 00:25:09,920 --> 00:25:13,439 Speaker 1: She nailed the shots report. Doctor Wong will join us 509 00:25:13,440 --> 00:25:16,400 Speaker 1: some bluebrig economics. One more to Christina Campany, the. 510 00:25:16,359 --> 00:25:18,720 Speaker 6: Curve is steepening. What does that tell you? 511 00:25:20,440 --> 00:25:24,919 Speaker 10: I think it's I'm a little surprised of just today 512 00:25:24,960 --> 00:25:27,000 Speaker 10: post this number that you've actually seen a further move 513 00:25:27,000 --> 00:25:29,240 Speaker 10: in the front end. And I think to what we discussed, 514 00:25:29,280 --> 00:25:31,679 Speaker 10: it's the market talking about like will you really have 515 00:25:31,760 --> 00:25:34,199 Speaker 10: hikes from the front end. I think from here the 516 00:25:34,240 --> 00:25:38,320 Speaker 10: curve can still push a bit steeper because you have 517 00:25:38,400 --> 00:25:41,680 Speaker 10: all this uncertainty and questions about what is fiscal what 518 00:25:42,280 --> 00:25:43,240 Speaker 10: are policies, what. 519 00:25:43,200 --> 00:25:44,040 Speaker 4: Does inflation look like? 520 00:25:44,080 --> 00:25:46,959 Speaker 10: All of these things that when the curve is in 521 00:25:47,040 --> 00:25:50,480 Speaker 10: swaps two ten's only is pushing ten basis once you 522 00:25:50,480 --> 00:25:53,040 Speaker 10: don't have a lot of premium there like cash is forty. 523 00:25:53,840 --> 00:25:56,159 Speaker 10: Historically we've seen way seper numbers. So I think that 524 00:25:56,200 --> 00:25:58,439 Speaker 10: there's clear value on the front end here because I 525 00:25:58,440 --> 00:25:59,960 Speaker 10: think that the bar for the Fed to hike is 526 00:26:00,200 --> 00:26:03,200 Speaker 10: very high, and that you can still see that's the bias. 527 00:26:03,560 --> 00:26:05,359 Speaker 1: I have no idea what she just said to you. 528 00:26:05,440 --> 00:26:08,480 Speaker 1: Bol she starts slipping into investco talk. 529 00:26:08,760 --> 00:26:12,359 Speaker 5: Yeahs, Rob, bond people, they are bond people are different. 530 00:26:12,600 --> 00:26:15,680 Speaker 1: They're just different. Camp Christina can't many things. 531 00:26:15,720 --> 00:26:17,359 Speaker 6: They want to get paid back is the thing they do. 532 00:26:17,400 --> 00:26:19,840 Speaker 1: They want their money back. And Christina us your Bloomberg 533 00:26:19,880 --> 00:26:23,160 Speaker 1: terminal today. Play Christina Campany with us with Invesco. 534 00:26:29,400 --> 00:26:33,120 Speaker 2: You're listening to the Bloomberg Surveillance Podcast. Catch us live 535 00:26:33,200 --> 00:26:36,480 Speaker 2: weekday afternoons from seven to ten am Eastern. Listen on 536 00:26:36,560 --> 00:26:39,880 Speaker 2: Apple CarPlay and Android Auto with the Bloomberg Business app, 537 00:26:40,160 --> 00:26:42,080 Speaker 2: or watch us live on YouTube. 538 00:26:42,359 --> 00:26:45,200 Speaker 1: Joining us now is the laureate and there is a 539 00:26:45,359 --> 00:26:49,320 Speaker 1: Ned Philips Paul Krugman distinction in the In the year 540 00:26:49,440 --> 00:26:54,400 Speaker 1: where Professor Krugman took the trophy, he was the sole winner. 541 00:26:54,560 --> 00:26:59,399 Speaker 1: I can't tell you within modern economics a special that is. 542 00:26:59,480 --> 00:27:02,640 Speaker 1: I've been a if you're, defender of his international economics, 543 00:27:03,119 --> 00:27:05,520 Speaker 1: retiring from the New York Times colin where he's been 544 00:27:05,520 --> 00:27:08,399 Speaker 1: a lightning rod of debate, and we are honored that 545 00:27:08,440 --> 00:27:13,560 Speaker 1: we can speak our international economics forward with Paul Krubman. Paul, 546 00:27:13,600 --> 00:27:16,880 Speaker 1: thank you so much for joining Bloomberg this morning. If 547 00:27:16,880 --> 00:27:18,800 Speaker 1: you had a cup of coffee in mar A Lago 548 00:27:18,880 --> 00:27:22,119 Speaker 1: with President elect Trump this morning, how would you brief 549 00:27:22,359 --> 00:27:23,280 Speaker 1: President Trump? 550 00:27:25,240 --> 00:27:28,320 Speaker 9: I would ask, what on earth do you think you're doing. 551 00:27:28,640 --> 00:27:33,119 Speaker 9: You know, we're looking at a US economy that you know, 552 00:27:33,440 --> 00:27:37,200 Speaker 9: this morning's Dows report was really good. Everything is kind 553 00:27:37,200 --> 00:27:41,400 Speaker 9: of coming up roses. It's soft landing everywhere. And yet 554 00:27:41,440 --> 00:27:44,480 Speaker 9: he's preparing or claims he preparing to go on this 555 00:27:46,200 --> 00:27:50,760 Speaker 9: trade war against everybody. And the question really is why, 556 00:27:50,880 --> 00:27:54,800 Speaker 9: what is it? Why do you want to do something 557 00:27:54,880 --> 00:27:58,600 Speaker 9: so disruptive when you're inheriting an economy that is really 558 00:27:58,640 --> 00:27:59,440 Speaker 9: looking pretty good. 559 00:28:00,200 --> 00:28:02,960 Speaker 1: I'm looking Paul Krugman. It's something you taught with a 560 00:28:03,000 --> 00:28:06,760 Speaker 1: piece of chuck at Princeton and at City College. The 561 00:28:06,800 --> 00:28:10,159 Speaker 1: basic idea here is a tariff chart, which is the 562 00:28:10,200 --> 00:28:14,160 Speaker 1: microeconomics in dynamics. We talked to Richard Claire the other 563 00:28:14,240 --> 00:28:18,160 Speaker 1: day about the dead weight loss of tariffs for our listeners, 564 00:28:19,240 --> 00:28:22,520 Speaker 1: the magnitude of terriffs does it matter or is this 565 00:28:22,760 --> 00:28:26,200 Speaker 1: just simply a dead weight loss to each American citizen? 566 00:28:27,320 --> 00:28:29,760 Speaker 9: Oh no, the magnitude. I mean, one of the things 567 00:28:29,800 --> 00:28:36,480 Speaker 9: that you learn from a studying the economics of tariffs 568 00:28:36,720 --> 00:28:40,800 Speaker 9: is that tariffs at low rates do very very little harm. 569 00:28:42,160 --> 00:28:44,880 Speaker 9: We had an average tariff of something like two to 570 00:28:44,960 --> 00:28:48,280 Speaker 9: three percent. We do at the moment coming into this 571 00:28:49,320 --> 00:28:51,800 Speaker 9: that if you ask me how much difference would it 572 00:28:51,840 --> 00:28:54,160 Speaker 9: make if we got that down to zero, the answer 573 00:28:54,280 --> 00:28:58,760 Speaker 9: is basically invisible. But if you go from five percent 574 00:28:59,280 --> 00:29:03,440 Speaker 9: to five percent, which is what Trump's talking about for 575 00:29:03,520 --> 00:29:09,600 Speaker 9: everybody and sixty percent for China, then it's roughly speaking, 576 00:29:09,920 --> 00:29:13,360 Speaker 9: we think that the losses are to go up roughly 577 00:29:13,400 --> 00:29:16,920 Speaker 9: as the square of the teriff freight. So with Trump 578 00:29:16,960 --> 00:29:20,920 Speaker 9: talking not about a modest increase in tariffs, not about 579 00:29:21,040 --> 00:29:24,480 Speaker 9: a tariffs on a few products, but across the board 580 00:29:24,520 --> 00:29:29,560 Speaker 9: trade war, sweet holy tariff levels, that starts to become 581 00:29:29,600 --> 00:29:31,800 Speaker 9: a really really big deal, Paul have been. 582 00:29:31,840 --> 00:29:34,760 Speaker 1: If you're in folks, the textbook on this is Krugman Opsfield. 583 00:29:34,800 --> 00:29:36,960 Speaker 1: It's all again. You throw Ken rogoff In as well, 584 00:29:36,960 --> 00:29:40,000 Speaker 1: but Krugman ops Who. There's some adult textbooks out there 585 00:29:40,400 --> 00:29:44,160 Speaker 1: of what Kruman invented for us in international economics. Paul, 586 00:29:44,200 --> 00:29:47,160 Speaker 1: I've always defended you by saying, the then diagram of 587 00:29:47,240 --> 00:29:51,440 Speaker 1: Krugman economics and John Taylor economics at Stanford is pretty 588 00:29:51,440 --> 00:29:56,760 Speaker 1: pretty tight. Can Kevin Hassett advise this president towards some 589 00:29:57,000 --> 00:30:01,239 Speaker 1: form of tariff moderation or sand uh? 590 00:30:01,640 --> 00:30:08,800 Speaker 9: Kevin Hassett has a history of basically saying whatever. I mean, 591 00:30:08,840 --> 00:30:12,760 Speaker 9: he's he's been a a loyalist and a court here. 592 00:30:13,160 --> 00:30:17,000 Speaker 9: I would be really shocked if he goes to you know, 593 00:30:17,400 --> 00:30:22,480 Speaker 9: Karras appears to be a real Trump obsession. And I'd 594 00:30:22,520 --> 00:30:28,200 Speaker 9: be shocked if Hash or actually anybody uh stood up 595 00:30:28,240 --> 00:30:30,920 Speaker 9: to Trump and said, mister president, you're thinking about this 596 00:30:30,960 --> 00:30:37,160 Speaker 9: all wrong. Uh. You know, I I've been writing for listeners. 597 00:30:37,200 --> 00:30:40,520 Speaker 9: I'm retired from the Times, but not from life, and 598 00:30:40,720 --> 00:30:43,360 Speaker 9: I'm I'm writing almost every day on my substack. 599 00:30:43,440 --> 00:30:46,480 Speaker 1: How do you substack? He needs to make a buck 600 00:30:46,520 --> 00:30:49,800 Speaker 1: on this, That's what it is, Paul. How do they 601 00:30:49,840 --> 00:30:52,960 Speaker 1: still see your writing as you've exited the Times? 602 00:30:53,600 --> 00:30:57,920 Speaker 9: Okrugman dot substack dot dot com. Just google Krugman substack 603 00:30:58,080 --> 00:31:00,800 Speaker 9: and you'll find it. And look, you know, I'm free 604 00:31:00,800 --> 00:31:04,520 Speaker 9: to it's a newsletter slash blog. And I mean, and 605 00:31:04,840 --> 00:31:07,200 Speaker 9: what I wrote the other day was We're seeing a 606 00:31:07,240 --> 00:31:11,240 Speaker 9: continual dynamic where people who claim to be close to 607 00:31:11,320 --> 00:31:17,680 Speaker 9: Trump but remain anonymous tell news source newspaper writers, hey, 608 00:31:17,720 --> 00:31:20,640 Speaker 9: He's not really as crazy as he sounds, and then 609 00:31:20,680 --> 00:31:23,960 Speaker 9: Trump immediately reacts with a truth social post saying yes 610 00:31:24,040 --> 00:31:27,480 Speaker 9: I am. So. It does look like we're really talking 611 00:31:27,480 --> 00:31:30,840 Speaker 9: about in terrence on a scale that we really have 612 00:31:31,000 --> 00:31:35,640 Speaker 9: not seen. We're talking about a reversal of really ninety 613 00:31:35,760 --> 00:31:38,320 Speaker 9: years of the US policy trying to. 614 00:31:38,640 --> 00:31:39,880 Speaker 6: Where I wanted to go, Professor. 615 00:31:39,920 --> 00:31:42,200 Speaker 5: I mean, you know, I grew up on global Wall Street, 616 00:31:42,240 --> 00:31:45,160 Speaker 5: where and many of our listeners and viewers as well 617 00:31:45,840 --> 00:31:50,680 Speaker 5: of internationalism being a fundamental business tenant. Now that's taken 618 00:31:50,720 --> 00:31:53,280 Speaker 5: a back seat here over the last ten years. Is 619 00:31:53,320 --> 00:31:54,520 Speaker 5: internationalism dead? 620 00:31:55,640 --> 00:31:55,920 Speaker 1: Well? 621 00:31:56,360 --> 00:31:58,959 Speaker 9: Probably in the form it was, Yeah, I mean a 622 00:31:58,960 --> 00:32:03,120 Speaker 9: lot of this was usagemony, and we thought that a 623 00:32:03,600 --> 00:32:09,280 Speaker 9: more prosperous, peaceful world was in our interest. You know, 624 00:32:09,320 --> 00:32:11,160 Speaker 9: what was good for the world was good for America, 625 00:32:11,440 --> 00:32:13,959 Speaker 9: and we thought that freer trade was good for America, 626 00:32:14,400 --> 00:32:18,360 Speaker 9: and we led the way. We built a world trading 627 00:32:18,400 --> 00:32:22,600 Speaker 9: system kind of in US, in our own image. It's 628 00:32:22,760 --> 00:32:29,680 Speaker 9: very rules bound, legalistic, it's you know it, and it worked. 629 00:32:29,920 --> 00:32:32,680 Speaker 9: We've managed to get everybody's tariffs down. We got to 630 00:32:32,720 --> 00:32:36,720 Speaker 9: a world of pretty close to free trade. We've been 631 00:32:37,240 --> 00:32:40,600 Speaker 9: in the last couple of decades. The European Union, which 632 00:32:40,680 --> 00:32:43,600 Speaker 9: is not very united on many things but is unified 633 00:32:43,600 --> 00:32:47,600 Speaker 9: on trade policy, sort of co managed the system with US. 634 00:32:47,960 --> 00:32:52,160 Speaker 9: Now we've gotten much more nationalistic, and even Biden was 635 00:32:52,920 --> 00:32:56,360 Speaker 9: pursuing for I think pretty good reasons and pretty seriously 636 00:32:56,680 --> 00:33:03,480 Speaker 9: nationalistic policies. It's on technology and China. But so the 637 00:33:03,560 --> 00:33:08,720 Speaker 9: age of full on more globalism is good. That's behind us. 638 00:33:09,160 --> 00:33:11,880 Speaker 9: That was that that really died about a decade ago. 639 00:33:12,440 --> 00:33:16,520 Speaker 9: But there's a big difference between saying, Okay, we're going 640 00:33:16,560 --> 00:33:19,160 Speaker 9: to be much more selective about this and maybe even 641 00:33:19,200 --> 00:33:23,320 Speaker 9: be protectionists here and there, and saying, you know, smooth 642 00:33:23,320 --> 00:33:25,840 Speaker 9: Holly had the right idea, which is basically what Trump 643 00:33:25,880 --> 00:33:26,200 Speaker 9: is saying. 644 00:33:26,360 --> 00:33:28,920 Speaker 5: Right, So, professor, you know, we had today's a big 645 00:33:29,000 --> 00:33:31,880 Speaker 5: jobs day here on a global Wall Street, showing again 646 00:33:31,960 --> 00:33:34,840 Speaker 5: the strength of the US labor market. That calls into 647 00:33:34,920 --> 00:33:38,160 Speaker 5: question another one of the president policies, which is about 648 00:33:38,440 --> 00:33:41,440 Speaker 5: immigration and what to do with the migrants that are 649 00:33:41,520 --> 00:33:46,280 Speaker 5: already here. From an economic perspective, what would your how 650 00:33:46,280 --> 00:33:49,600 Speaker 5: would you advise the president on thinking about immigration policy. 651 00:33:50,480 --> 00:33:53,360 Speaker 9: I mean, immigration has been one of the great strengths 652 00:33:53,400 --> 00:33:56,400 Speaker 9: of the US economy, whatever else you may think about it, 653 00:33:57,480 --> 00:34:01,720 Speaker 9: and I mean it's not actually a source of crime 654 00:34:01,840 --> 00:34:04,520 Speaker 9: or any of the things that he says, but the 655 00:34:04,560 --> 00:34:08,719 Speaker 9: immigration has been a tremendous safety valve has helped to 656 00:34:08,760 --> 00:34:16,080 Speaker 9: contain inflation. And the immigrants, particularly if I might say 657 00:34:16,120 --> 00:34:20,160 Speaker 9: undocumented immigrants, they're not evenly spread across the US economy. 658 00:34:20,320 --> 00:34:24,719 Speaker 9: There a really critical part of the labor force in 659 00:34:24,760 --> 00:34:28,560 Speaker 9: some particular sectors if you want, if you're worried about 660 00:34:28,600 --> 00:34:33,640 Speaker 9: agriculture or meat packing or construction, those are all sectors 661 00:34:33,680 --> 00:34:38,800 Speaker 9: where we have an aging. The native born population is agent. 662 00:34:39,040 --> 00:34:42,640 Speaker 9: The working age native born population is shrinking because we've 663 00:34:42,680 --> 00:34:45,239 Speaker 9: had low fertility for a really long time. So that 664 00:34:45,360 --> 00:34:49,160 Speaker 9: you know, without immigration, we would be basically we would Japan. 665 00:34:49,400 --> 00:34:53,440 Speaker 9: And so from an economic point of view, this is 666 00:34:53,480 --> 00:34:57,080 Speaker 9: a hugely This is a tremendous self owned Paul. 667 00:34:56,960 --> 00:34:59,080 Speaker 1: Krugman with this, we are thrilled to these with us. 668 00:34:59,120 --> 00:35:02,360 Speaker 1: Year was see you in y Qun's Stone Center and 669 00:35:02,440 --> 00:35:08,320 Speaker 1: Socioeconomic Inequality among others and affiliated also with the Yellows, 670 00:35:08,440 --> 00:35:10,360 Speaker 1: I should say, and of course he years at Princeton 671 00:35:11,040 --> 00:35:14,080 Speaker 1: as well. I talked to him about his first paper 672 00:35:14,160 --> 00:35:16,279 Speaker 1: once at Yale, which was in star Trek. This is 673 00:35:16,320 --> 00:35:20,000 Speaker 1: a few years ago, yeah, just after Ricardo. But the 674 00:35:20,040 --> 00:35:22,360 Speaker 1: answer is the laureate Paul Krugman with us, thank you 675 00:35:22,400 --> 00:35:26,560 Speaker 1: for the huge response to Professor Krugman with us this morning. Paul, 676 00:35:26,600 --> 00:35:29,520 Speaker 1: I've said this before, but I guess there can be 677 00:35:29,520 --> 00:35:32,440 Speaker 1: a tour of duty when you win a second Nobel Prize. 678 00:35:33,040 --> 00:35:37,600 Speaker 1: You deserve a second Nobel Prize for your persistent discussion 679 00:35:38,400 --> 00:35:44,440 Speaker 1: of wages and monopsony in America, Folks. Monopsony the model 680 00:35:44,800 --> 00:35:49,319 Speaker 1: is a rubber plantation in Malaysia where the rubber plantation 681 00:35:49,600 --> 00:35:53,520 Speaker 1: sets the price because they have power over all the 682 00:35:53,560 --> 00:35:58,440 Speaker 1: farmers and the rubber trees and the manufacturing process. Professor Krugman, 683 00:35:58,960 --> 00:36:04,360 Speaker 1: how ISoP in America affecting our listeners in our viewers 684 00:36:04,400 --> 00:36:05,080 Speaker 1: on YouTube? 685 00:36:06,320 --> 00:36:09,680 Speaker 9: Oh gosh. I mean, I'm in a way what it's 686 00:36:09,719 --> 00:36:13,799 Speaker 9: telling you. I mean that the main monopsony issue on 687 00:36:14,960 --> 00:36:20,920 Speaker 9: wages is is that it's okay to raise the minimum wage. 688 00:36:21,320 --> 00:36:24,080 Speaker 9: I mean, is this is where we really started to 689 00:36:24,080 --> 00:36:26,359 Speaker 9: take it seriously when you first had the work by 690 00:36:26,400 --> 00:36:30,279 Speaker 9: Cardon Krueger, now replicated by many people, which says that 691 00:36:30,360 --> 00:36:37,640 Speaker 9: local minimum wage increases don't actually reduce employments. It you 692 00:36:38,120 --> 00:36:40,520 Speaker 9: ech on one on one unless you well, I have 693 00:36:40,560 --> 00:36:44,239 Speaker 9: to say, even in my own textbook, we do talk 694 00:36:44,280 --> 00:36:46,759 Speaker 9: through how a minimum wage can reduce employment, but it 695 00:36:46,800 --> 00:36:50,359 Speaker 9: doesn't actually seem to happen in the United States. Now, 696 00:36:50,400 --> 00:36:52,960 Speaker 9: that's because minimum wages are low in the United States. 697 00:36:53,000 --> 00:36:55,120 Speaker 9: And you know, if you if you set the minimum 698 00:36:55,160 --> 00:36:57,880 Speaker 9: wage at forty dollars an hour, even I would accept 699 00:36:57,880 --> 00:37:01,759 Speaker 9: that that would have some employment concept points. But so 700 00:37:01,840 --> 00:37:05,840 Speaker 9: that's the main place where it hurts. Although if you 701 00:37:05,960 --> 00:37:11,320 Speaker 9: are you know, a small, small supplier or something trying 702 00:37:11,360 --> 00:37:15,600 Speaker 9: to pedal your stuff on Amazon, the fact you know 703 00:37:15,640 --> 00:37:20,880 Speaker 9: that you've got a giant Beza size monopsimist certainly affects 704 00:37:20,920 --> 00:37:21,440 Speaker 9: your business. 705 00:37:21,840 --> 00:37:24,319 Speaker 1: I mean, it's very interesting to see Paul Kruman and 706 00:37:24,360 --> 00:37:28,200 Speaker 1: then the conservatives listening. I'm going to frame this Paul 707 00:37:28,560 --> 00:37:33,719 Speaker 1: is a liberality in a way, is a Lockean individualism 708 00:37:34,400 --> 00:37:38,719 Speaker 1: of conservative theory in America. Should we be more like 709 00:37:38,880 --> 00:37:42,560 Speaker 1: Germany flat on their back? Should we be more like Sweden? 710 00:37:42,880 --> 00:37:44,560 Speaker 1: Should we be more like France? 711 00:37:45,840 --> 00:37:48,560 Speaker 9: Well, I mean, ideally we should be more like Denmark, 712 00:37:48,680 --> 00:37:52,680 Speaker 9: which is a place that does strong welfare state, strong 713 00:37:52,840 --> 00:37:57,560 Speaker 9: unions and does it well. It's you know, everybody's got 714 00:37:57,680 --> 00:38:02,200 Speaker 9: one of the things. I've spent many years teaching a 715 00:38:02,200 --> 00:38:08,279 Speaker 9: course versus Princeton than at CuNi on the ecnology of 716 00:38:08,280 --> 00:38:11,319 Speaker 9: the welfare state comparing different countries, and one of the 717 00:38:11,320 --> 00:38:13,319 Speaker 9: things you learn, first of all, the United States has 718 00:38:13,320 --> 00:38:15,799 Speaker 9: a much more We have a much bigger welfare state 719 00:38:15,800 --> 00:38:17,879 Speaker 9: than we like to imagine, but it's much smaller than 720 00:38:17,920 --> 00:38:21,919 Speaker 9: what European countries have. But there's no country that does 721 00:38:21,960 --> 00:38:27,320 Speaker 9: everything right. US healthcare is a nightmare. US retirement system 722 00:38:27,440 --> 00:38:30,600 Speaker 9: is actually pretty good. France it's exactly the opposite. So 723 00:38:32,440 --> 00:38:35,719 Speaker 9: it's not as simple more government is good. I mean, 724 00:38:36,000 --> 00:38:39,120 Speaker 9: I think their conservatives always think that less government is good. 725 00:38:40,040 --> 00:38:43,680 Speaker 9: Liberals progressives never think that more government is automatically good. 726 00:38:44,040 --> 00:38:46,680 Speaker 9: But there are certainly things where we should be doing more, 727 00:38:47,400 --> 00:38:49,960 Speaker 9: and obviously that's on wholes for the next few years, 728 00:38:49,960 --> 00:38:54,000 Speaker 9: but there are lots We can learn a lot from 729 00:38:54,040 --> 00:38:56,000 Speaker 9: other countries. That's one thing I would say to you 730 00:38:56,560 --> 00:39:01,120 Speaker 9: as an international economist. The biggest problem with Americans is 731 00:39:01,160 --> 00:39:03,520 Speaker 9: that we don't actually seem to believe the rest of 732 00:39:03,560 --> 00:39:05,640 Speaker 9: the world exists, and we don't think that we can 733 00:39:05,719 --> 00:39:08,319 Speaker 9: learn lessons from things that other countries do. 734 00:39:08,480 --> 00:39:12,480 Speaker 5: Right, Professor, Most of the market participants that we speak to, 735 00:39:12,520 --> 00:39:14,400 Speaker 5: particularly over the last several months, and they see a 736 00:39:14,480 --> 00:39:17,040 Speaker 5: data point like today's non farm paariles, and they feel 737 00:39:17,040 --> 00:39:20,440 Speaker 5: like the FED is engineered a pretty solid soft landing. 738 00:39:20,840 --> 00:39:24,560 Speaker 5: What concerns you? What worries you about this US economy 739 00:39:24,680 --> 00:39:25,120 Speaker 5: right here? 740 00:39:26,320 --> 00:39:29,359 Speaker 9: I think the US economy as of right now is 741 00:39:29,360 --> 00:39:34,759 Speaker 9: in very good shape. I am worried. You know, I've 742 00:39:34,800 --> 00:39:40,480 Speaker 9: been around a while, and the whole ai fewer. And 743 00:39:40,760 --> 00:39:45,319 Speaker 9: although the money being thrown at that technology gives me 744 00:39:45,400 --> 00:39:50,920 Speaker 9: definite nineteen ninety nine vibes, the sense that we may 745 00:39:50,960 --> 00:39:54,560 Speaker 9: be having even if there's even if the technology does 746 00:39:54,640 --> 00:39:56,160 Speaker 9: do a lot of good stuff, and there are some 747 00:39:56,640 --> 00:40:00,440 Speaker 9: indications that it will, the valuations look awfully and you 748 00:40:00,480 --> 00:40:04,719 Speaker 9: can very easily imagine a kind of two thousand, two 749 00:40:04,760 --> 00:40:08,960 Speaker 9: thousand and one type But the biggest concern for policy, 750 00:40:09,160 --> 00:40:11,839 Speaker 9: I mean, if you actually believe that Trump is going 751 00:40:11,880 --> 00:40:15,239 Speaker 9: to do what he promised in the campaign with these 752 00:40:15,320 --> 00:40:22,000 Speaker 9: massive talents, mass deportations, and let's not forget taking away 753 00:40:22,000 --> 00:40:26,520 Speaker 9: a lot of the Faro reserves independence we are, it's 754 00:40:26,560 --> 00:40:29,799 Speaker 9: not at all hard to see us gratuitously. I mean, 755 00:40:29,800 --> 00:40:31,960 Speaker 9: we're in good shape right now, but we could very 756 00:40:32,000 --> 00:40:36,680 Speaker 9: easily have a gratuitous outbreak of stagflation of America and 757 00:40:36,719 --> 00:40:40,640 Speaker 9: it will be entirely coming top down from the White 758 00:40:40,680 --> 00:40:41,600 Speaker 9: House very quickly. 759 00:40:41,640 --> 00:40:43,600 Speaker 1: Here, Professor Krugman, Paul, we got to do this. A 760 00:40:43,719 --> 00:40:47,000 Speaker 1: Kruman won't come back the sub stack this morning. The 761 00:40:47,160 --> 00:40:51,800 Speaker 1: real threat, the real threat of fake numbers. Paul Krugman, 762 00:40:51,840 --> 00:40:54,960 Speaker 1: are you suggesting the president and his administration will cook 763 00:40:55,000 --> 00:40:55,480 Speaker 1: the books? 764 00:40:56,400 --> 00:40:58,960 Speaker 9: I think that's a very high possibility if you believe 765 00:40:59,000 --> 00:41:01,880 Speaker 9: what I'm saying about inflation. Inflation is actually going to 766 00:41:01,920 --> 00:41:04,880 Speaker 9: go up substantially. And do you really imagine that Trump 767 00:41:05,280 --> 00:41:09,040 Speaker 9: will just sit there at and not say these are 768 00:41:09,400 --> 00:41:12,239 Speaker 9: fake numbers, it's fake news and put pressure on the 769 00:41:12,239 --> 00:41:15,160 Speaker 9: Bureau of Labor Statistics to produce better numbers. I mean, 770 00:41:15,200 --> 00:41:19,040 Speaker 9: we've seen populist regimes do that all over the world. 771 00:41:19,480 --> 00:41:21,840 Speaker 9: Why imagine that it won't happen here? And I know 772 00:41:21,920 --> 00:41:24,759 Speaker 9: that people, you know, people who've had long careers at 773 00:41:24,800 --> 00:41:27,359 Speaker 9: the Bureau of Labor Statistics are really worried about this. 774 00:41:27,840 --> 00:41:29,960 Speaker 9: So I was just saying, you know, flag this, this 775 00:41:30,040 --> 00:41:30,880 Speaker 9: is something to watch. 776 00:41:31,120 --> 00:41:33,319 Speaker 1: Paul, generous of your time. Thank you so much again, 777 00:41:33,360 --> 00:41:35,279 Speaker 1: Paul Krugman. In a New Life, You've got it from 778 00:41:35,320 --> 00:41:36,800 Speaker 1: Adam Two's substick. 779 00:41:42,400 --> 00:41:46,320 Speaker 2: This is the Bloomberg Surveillance Podcast. Listen live each weekday 780 00:41:46,360 --> 00:41:49,160 Speaker 2: starting at seven am Eastern on Apple car Play and 781 00:41:49,200 --> 00:41:51,839 Speaker 2: the Android Auto with the Bloomberg Business app. You can 782 00:41:51,880 --> 00:41:55,080 Speaker 2: also listen live on Amazon Alexa from our flagship New 783 00:41:55,160 --> 00:41:58,760 Speaker 2: York station. Just say Alexa play Bloomberg eleven thirty. 784 00:41:59,120 --> 00:42:03,560 Speaker 1: Our newspapers front pages, in our glory, the Lisa Matteo 785 00:42:03,719 --> 00:42:04,560 Speaker 1: our what do you have? 786 00:42:04,760 --> 00:42:07,000 Speaker 11: Well, we're all about the data, right, So the data 787 00:42:07,080 --> 00:42:12,239 Speaker 11: is showing that Americans tipping less than they have in ye. Yes, 788 00:42:12,400 --> 00:42:16,000 Speaker 11: this is the hot topic because two reasons rising menu 789 00:42:16,040 --> 00:42:18,560 Speaker 11: prices and the other one is people are just getting 790 00:42:18,600 --> 00:42:20,239 Speaker 11: tired of all the prompts. You know, you got to 791 00:42:20,400 --> 00:42:23,160 Speaker 11: screen that the places you didn't get it before. 792 00:42:23,320 --> 00:42:25,960 Speaker 6: No, So here's the here what do you do and 793 00:42:25,960 --> 00:42:29,320 Speaker 6: fast rule? Here you go. If you stand, no tip, 794 00:42:29,560 --> 00:42:33,040 Speaker 6: if you sit tip that easy, that's it. That's it. 795 00:42:33,080 --> 00:42:35,720 Speaker 6: Tell me that doesn't work, like nine out of ten times, 796 00:42:35,920 --> 00:42:37,239 Speaker 6: it's tough. It's like the pressures on. 797 00:42:37,280 --> 00:42:38,960 Speaker 11: You're standing there and they flip the screen. 798 00:42:38,760 --> 00:42:40,000 Speaker 6: And then they're like, what do I do? 799 00:42:40,239 --> 00:42:44,160 Speaker 1: Yep, I have I just hit a wall a year 800 00:42:44,200 --> 00:42:47,360 Speaker 1: ago or so and I just don't tip, sort of 801 00:42:47,400 --> 00:42:48,920 Speaker 1: like standing. I think that's brilliant. 802 00:42:49,000 --> 00:42:52,000 Speaker 6: Yeah, I do, And I tip my local plate, my 803 00:42:52,080 --> 00:42:52,760 Speaker 6: local places. 804 00:42:53,160 --> 00:42:53,279 Speaker 1: Well. 805 00:42:53,320 --> 00:42:55,040 Speaker 6: I tip at a restaurant I always tipped very well. 806 00:42:56,000 --> 00:42:58,600 Speaker 5: Then I round up and my local places where I 807 00:42:58,719 --> 00:43:00,919 Speaker 5: know the servers, where I go all time, I'll tip 808 00:43:01,000 --> 00:43:02,640 Speaker 5: above and beyond that. So I want to walk in 809 00:43:02,640 --> 00:43:04,640 Speaker 5: there and say, Sweeney's a good tipper. 810 00:43:04,800 --> 00:43:08,759 Speaker 1: Right in Paris, I tip big like an ugly American. 811 00:43:08,840 --> 00:43:12,759 Speaker 1: They love me. In London, it's so screwed up the 812 00:43:12,760 --> 00:43:16,440 Speaker 1: weights are. They're ruined by the way they do tipping 813 00:43:16,480 --> 00:43:16,880 Speaker 1: in London. 814 00:43:16,880 --> 00:43:20,080 Speaker 11: It's terrible because they get paid more, right, I'm not that's. 815 00:43:19,840 --> 00:43:22,319 Speaker 1: The gimmick, but I don't buy it. They're getting taken 816 00:43:22,320 --> 00:43:24,200 Speaker 1: to the cleaners in London. Next. 817 00:43:24,360 --> 00:43:26,759 Speaker 11: Okay, we all know the price of beef right on 818 00:43:26,800 --> 00:43:29,080 Speaker 11: the rise, but did you know it could get even 819 00:43:29,120 --> 00:43:32,799 Speaker 11: higher because of freezing temperatures in the corn belt. I 820 00:43:32,880 --> 00:43:33,799 Speaker 11: did not realize that. 821 00:43:33,840 --> 00:43:35,239 Speaker 4: But the Wall Street Journal breaks it. 822 00:43:35,200 --> 00:43:39,120 Speaker 11: Down because colder weather and pastures produce this thing called 823 00:43:39,160 --> 00:43:43,040 Speaker 11: prusick acid in the grass, and if the cattle eat it, 824 00:43:43,120 --> 00:43:46,880 Speaker 11: they can die. So the cattle producers are having to 825 00:43:46,920 --> 00:43:49,640 Speaker 11: regulate what these cattle are eating, and so the cattle 826 00:43:49,680 --> 00:43:53,080 Speaker 11: are losing weight, and so lower weight cattle produces less beef, 827 00:43:53,120 --> 00:43:54,399 Speaker 11: which means the prices are going. 828 00:43:54,400 --> 00:43:54,759 Speaker 4: To go up. 829 00:43:54,840 --> 00:43:57,200 Speaker 6: Right, I watch Yellowstone. I know all about the ranching business, 830 00:43:57,360 --> 00:43:59,560 Speaker 6: and that is a tough business. I don't know why 831 00:43:59,560 --> 00:44:02,160 Speaker 6: these his party souls of people. I mean, there's so 832 00:44:02,280 --> 00:44:03,680 Speaker 6: many issue areas. 833 00:44:03,360 --> 00:44:06,880 Speaker 5: Where you can get screwed in the freaking cattle business. 834 00:44:07,040 --> 00:44:07,759 Speaker 6: That is a tough way. 835 00:44:08,200 --> 00:44:11,480 Speaker 11: It's like a double whomy because the USDA just suspended 836 00:44:11,480 --> 00:44:13,799 Speaker 11: exports of live cattle from Mexico because there was a 837 00:44:13,800 --> 00:44:16,479 Speaker 11: parasite found in those and they haven't lifted it yet, 838 00:44:16,520 --> 00:44:18,920 Speaker 11: so that on top of these freezing temperatures. 839 00:44:19,080 --> 00:44:21,719 Speaker 1: Look, I'm looking at live cattle and the bloomberg gets 840 00:44:21,719 --> 00:44:25,200 Speaker 1: some h I know, I know. It's basically a double 841 00:44:25,880 --> 00:44:27,239 Speaker 1: off the pandemic. Wow. 842 00:44:27,480 --> 00:44:30,160 Speaker 6: Next, Okay, so there's a news I learned something I know, 843 00:44:30,480 --> 00:44:30,920 Speaker 6: or you're going to. 844 00:44:30,960 --> 00:44:33,480 Speaker 11: Learn something here. Okay, there's a new side hustle where 845 00:44:33,480 --> 00:44:37,680 Speaker 11: people are earning about thirty thousand dollars making job referrals 846 00:44:37,719 --> 00:44:40,319 Speaker 11: for strangers. Okay, so stick with me here. 847 00:44:40,480 --> 00:44:40,840 Speaker 7: Okay. 848 00:44:41,239 --> 00:44:44,800 Speaker 11: Companies offer these bonuses, right, so when you refer someone, 849 00:44:44,960 --> 00:44:47,239 Speaker 11: you get a nice bonus. Usually it's someone you know, 850 00:44:47,800 --> 00:44:48,920 Speaker 11: but not anymore. 851 00:44:49,160 --> 00:44:50,359 Speaker 6: One tech worker. 852 00:44:50,120 --> 00:44:53,600 Speaker 11: Told Bloomberg he referred over one thousand job candidates. He 853 00:44:53,680 --> 00:44:57,359 Speaker 11: earned thirty thousand dollars in bonuses. He didn't even know them. 854 00:44:57,520 --> 00:44:59,879 Speaker 11: They were all copied and pasted. And the reason why 855 00:45:00,000 --> 00:45:02,040 Speaker 11: it's so big is because job seekers are going to 856 00:45:02,040 --> 00:45:06,239 Speaker 11: these underground places like blind Glass Door refer market, and 857 00:45:06,280 --> 00:45:09,239 Speaker 11: they're making the connections and people are just saying, hey, 858 00:45:09,440 --> 00:45:10,080 Speaker 11: I'll refer you. 859 00:45:11,080 --> 00:45:12,399 Speaker 1: That's how I got my job. 860 00:45:12,760 --> 00:45:14,960 Speaker 4: No say that. 861 00:45:16,480 --> 00:45:20,319 Speaker 11: And finally I gotta go congestion pricing. Okay, so with this, 862 00:45:20,440 --> 00:45:24,480 Speaker 11: there's no surprise here. Congestion pricing is sparking these fishing scams. 863 00:45:24,960 --> 00:45:28,120 Speaker 11: So now people are getting text messages from toll fishers 864 00:45:28,120 --> 00:45:30,880 Speaker 11: saying that they owe a late fee, and then people 865 00:45:30,880 --> 00:45:33,920 Speaker 11: are clicking on the link going to these websites. 866 00:45:33,920 --> 00:45:35,000 Speaker 1: Thank you. That's important. 867 00:45:35,080 --> 00:45:37,320 Speaker 11: Yeah, so it's very important. They're putting out the warning, 868 00:45:37,440 --> 00:45:38,880 Speaker 11: don't get thirty seconds. 869 00:45:38,880 --> 00:45:42,160 Speaker 1: None of this matters of jobs day. You've detected an 870 00:45:42,200 --> 00:45:43,080 Speaker 1: egg shortage. 871 00:45:43,320 --> 00:45:47,360 Speaker 11: Yes, I went to the supermarket. There were no eggs anywhere. 872 00:45:47,520 --> 00:45:49,880 Speaker 11: I talked to our expert, can fail you who told 873 00:45:49,920 --> 00:45:54,399 Speaker 11: me that this issue gone and. 874 00:45:54,320 --> 00:45:56,200 Speaker 4: The prices are skyline. 875 00:45:57,200 --> 00:45:59,279 Speaker 11: The bird floor. Yes, the bird flow, but Ken says, 876 00:45:59,280 --> 00:46:00,399 Speaker 11: go to Walmart least Teyo. 877 00:46:00,520 --> 00:46:02,640 Speaker 1: Thank you so much to the newspapers. 878 00:46:02,760 --> 00:46:07,239 Speaker 2: This is the Bloomberg Surveillance podcast, available on Apple, Spotify, 879 00:46:07,280 --> 00:46:11,080 Speaker 2: and anywhere else you get your podcasts. Listen live each weekday, 880 00:46:11,160 --> 00:46:14,160 Speaker 2: seven to ten am Eastern on Bloomberg dot com, the 881 00:46:14,239 --> 00:46:17,960 Speaker 2: iHeartRadio app, tune In, and the Bloomberg Business app. You 882 00:46:17,960 --> 00:46:21,120 Speaker 2: can also watch us live every weekday on YouTube and 883 00:46:21,280 --> 00:46:23,200 Speaker 2: always on the Bloomberg terminal