1 00:00:05,120 --> 00:00:09,200 Speaker 1: Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane. Along 2 00:00:09,240 --> 00:00:13,080 Speaker 1: with Jonathan Ferrell and Lisa Brownwitz Jay Ley, we bring 3 00:00:13,119 --> 00:00:17,159 Speaker 1: you insight from the best and economics, finance, investment, and 4 00:00:17,280 --> 00:00:23,280 Speaker 1: international relations. Find Bloomberg Surveillance on Apple Podcast, Suncloud, Bloomberg 5 00:00:23,360 --> 00:00:30,080 Speaker 1: dot com, and of course on the Bloomberg terminal. Joining 6 00:00:30,160 --> 00:00:32,560 Speaker 1: us now on this is Jeff Rosenberg, port folio manager 7 00:00:32,800 --> 00:00:35,520 Speaker 1: of the Systematic Multi Strategy Fund of black Rock. Jeff, 8 00:00:35,600 --> 00:00:39,600 Speaker 1: let's get straight to it, sir. You'll response to your reaction. Yeah, 9 00:00:39,640 --> 00:00:42,680 Speaker 1: I think the focus here is that the headline, while 10 00:00:42,720 --> 00:00:45,959 Speaker 1: a miss, is expected to be revised higher. We've had 11 00:00:45,960 --> 00:00:48,120 Speaker 1: a pattern for for a number of years now with 12 00:00:48,200 --> 00:00:51,400 Speaker 1: this calendar setup that December gets revised higher. You had 13 00:00:51,440 --> 00:00:55,400 Speaker 1: the revisions earlier adding to it. So I think the 14 00:00:55,440 --> 00:00:58,360 Speaker 1: market's looking past the disappointment on the headline. And as 15 00:00:58,400 --> 00:01:01,080 Speaker 1: you guys have highlighted, you know, the unemployment rate, the 16 00:01:01,160 --> 00:01:05,400 Speaker 1: labor force participation rate, and the average hourly earnings, you know, 17 00:01:05,440 --> 00:01:09,440 Speaker 1: are all about the lookthrough from the payroll report to 18 00:01:09,600 --> 00:01:13,560 Speaker 1: the outlook on inflation. And that's really the more important 19 00:01:13,640 --> 00:01:16,320 Speaker 1: story here for for payrolls. You know, we saw in 20 00:01:16,319 --> 00:01:19,040 Speaker 1: the Minutes earlier this week, the discussion about you know, 21 00:01:19,080 --> 00:01:23,160 Speaker 1: reaching maximum employment, full employment, and lift off, I think 22 00:01:23,200 --> 00:01:26,240 Speaker 1: that has been decided. So the kind of the wage 23 00:01:26,319 --> 00:01:29,039 Speaker 1: count is pretty clear. And we've had a lot of 24 00:01:29,080 --> 00:01:31,960 Speaker 1: evidence for a long time now that labor markets are 25 00:01:32,000 --> 00:01:34,880 Speaker 1: are are very strong. I think the issue is are 26 00:01:34,880 --> 00:01:39,240 Speaker 1: they too strong? And are they a contributor contributor to 27 00:01:39,920 --> 00:01:42,400 Speaker 1: the inflation story? And I think there's a little bit 28 00:01:42,440 --> 00:01:44,840 Speaker 1: of that in this report, and I think that's more 29 00:01:44,959 --> 00:01:49,480 Speaker 1: the takeaway for the market. Can you frame not the 30 00:01:49,600 --> 00:01:53,040 Speaker 1: certain nous of it, but Jeff Rosenberg, can you begin 31 00:01:53,120 --> 00:01:56,040 Speaker 1: to frame in your mind that we're heading for an 32 00:01:56,040 --> 00:01:59,320 Speaker 1: inverted twos tends spread? I mean, are we is this 33 00:01:59,440 --> 00:02:04,760 Speaker 1: the first discussion with particularly the regular household survey showing 34 00:02:04,800 --> 00:02:08,959 Speaker 1: six fifty job girls. Are we finally at a point 35 00:02:09,240 --> 00:02:13,800 Speaker 1: where we really have to begin to discuss potential curve 36 00:02:13,840 --> 00:02:16,600 Speaker 1: and vision with a two year yield up up up. 37 00:02:18,200 --> 00:02:21,160 Speaker 1: You know, Tom, it's a it's a very big question. 38 00:02:21,200 --> 00:02:22,960 Speaker 1: It's a question we we spent a lot of time 39 00:02:22,960 --> 00:02:26,800 Speaker 1: talking about. But the difference this time is the role 40 00:02:26,919 --> 00:02:29,639 Speaker 1: of the balance sheet, and and you know, when you 41 00:02:29,720 --> 00:02:34,440 Speaker 1: see how much the balance sheet has contributed to financial 42 00:02:34,480 --> 00:02:37,440 Speaker 1: conditions easing. Right, You look at that time series of 43 00:02:37,520 --> 00:02:40,200 Speaker 1: the balance sheet and it makes what was and you 44 00:02:40,240 --> 00:02:42,639 Speaker 1: were there with with me, you know, what we thought 45 00:02:42,680 --> 00:02:46,200 Speaker 1: in in uh in two thousand and eight was historic, 46 00:02:46,800 --> 00:02:51,320 Speaker 1: unprecedented balance sheet expansion, and what we see in this 47 00:02:51,400 --> 00:02:54,880 Speaker 1: balance sheet is it makes that period look tiny by comparison. 48 00:02:55,080 --> 00:02:57,520 Speaker 1: And so I think the difference in the kind of 49 00:02:57,560 --> 00:03:01,280 Speaker 1: traditional yield curve in version the bond market predicting the 50 00:03:01,280 --> 00:03:04,640 Speaker 1: FED overdes it yet again, and you're seeing some of 51 00:03:04,680 --> 00:03:08,960 Speaker 1: that in the bond market already. Is the the tool 52 00:03:09,360 --> 00:03:13,080 Speaker 1: and the uncertainty around how much will they use the 53 00:03:13,120 --> 00:03:15,840 Speaker 1: balance sheet to try to take some of that accommodation out. 54 00:03:16,040 --> 00:03:18,040 Speaker 1: You saw a lot of discussion of that in both 55 00:03:18,080 --> 00:03:20,920 Speaker 1: speeches and a bit in the minutes about you know, 56 00:03:20,960 --> 00:03:24,760 Speaker 1: trying to avoid that that very strong curve inversion and 57 00:03:24,840 --> 00:03:28,080 Speaker 1: using the balance sheet to try to tighten financial conditions 58 00:03:28,080 --> 00:03:30,600 Speaker 1: without the same kind of yield curb in version. So 59 00:03:31,040 --> 00:03:33,360 Speaker 1: I think it remains to be seen, and we still 60 00:03:33,400 --> 00:03:36,400 Speaker 1: have a lot of information to come from the FED 61 00:03:36,480 --> 00:03:41,040 Speaker 1: about the balance sheet normalization policy. Jeff, it's hard to 62 00:03:41,040 --> 00:03:44,040 Speaker 1: believe that we're just a fewer than two weeks into 63 00:03:44,040 --> 00:03:46,400 Speaker 1: the new year. It has been an exhausting period of 64 00:03:46,440 --> 00:03:51,040 Speaker 1: time in the first week of two. Has anything changed 65 00:03:51,120 --> 00:03:54,000 Speaker 1: your outlook given the fact that we've gotten the meeting minutes, 66 00:03:54,040 --> 00:03:56,840 Speaker 1: given the fact that we seem to see some support 67 00:03:56,960 --> 00:03:59,840 Speaker 1: for a very tight labor market in today's data, that 68 00:04:00,120 --> 00:04:03,480 Speaker 1: really you're going to actually adjust tweak your view for 69 00:04:03,520 --> 00:04:07,440 Speaker 1: the year ahead. Well, I think going into this year, 70 00:04:07,480 --> 00:04:09,880 Speaker 1: we had already had the view that this was a 71 00:04:09,920 --> 00:04:14,080 Speaker 1: significant set of turning points, right you. We knew that 72 00:04:14,240 --> 00:04:17,000 Speaker 1: from the meeting. We discussed it when I was on 73 00:04:17,400 --> 00:04:19,680 Speaker 1: a month ago, from the from the dots plot. What 74 00:04:19,760 --> 00:04:22,520 Speaker 1: we got out of the minutes was the narrative to 75 00:04:22,720 --> 00:04:25,640 Speaker 1: that change. And that narrative really laid out that the 76 00:04:25,640 --> 00:04:30,600 Speaker 1: FED recognizes they have a significant inflation problem on their hands. 77 00:04:30,760 --> 00:04:33,800 Speaker 1: And and now it's really about the market and the 78 00:04:33,880 --> 00:04:38,359 Speaker 1: FED figuring out how much intestinal fortitude does the Fed 79 00:04:38,480 --> 00:04:43,080 Speaker 1: have to tighten financial conditions, Because tightening financial conditions means 80 00:04:43,320 --> 00:04:48,240 Speaker 1: tighter financial conditions, i e. Lower stock prices, higher interest rates, 81 00:04:48,320 --> 00:04:52,279 Speaker 1: wider credit spreads. Uh. And what we've seen is very 82 00:04:52,360 --> 00:04:56,960 Speaker 1: little tolerance for financial conditions over tightening. And that's the 83 00:04:57,040 --> 00:04:59,359 Speaker 1: tricky part that the FED is gonna try to have 84 00:04:59,560 --> 00:05:02,480 Speaker 1: to wee here between wanting to take some of this 85 00:05:02,760 --> 00:05:07,600 Speaker 1: incredible post COVID crisis accommodation out of the market, take 86 00:05:07,720 --> 00:05:11,880 Speaker 1: some of the froth out of asset prices without overdoing it. Uh. 87 00:05:11,920 --> 00:05:15,120 Speaker 1: We don't have a really good experience for the ability 88 00:05:15,200 --> 00:05:18,320 Speaker 1: of of markets to to kind of calmly go through 89 00:05:18,880 --> 00:05:21,839 Speaker 1: a tightening cycle. And so I think what we've seen 90 00:05:21,920 --> 00:05:23,280 Speaker 1: in the first two weeks is a little bit of 91 00:05:23,320 --> 00:05:27,279 Speaker 1: a validation that is a very different market backdrop environment 92 00:05:27,320 --> 00:05:30,480 Speaker 1: than what we've had in the post COVID environment. Uh. 93 00:05:30,640 --> 00:05:32,680 Speaker 1: And so I think you have to go into portfolio 94 00:05:32,760 --> 00:05:37,440 Speaker 1: portfolio risk taking with that understood. Jeff thank you so 95 00:05:37,520 --> 00:05:39,160 Speaker 1: much for joining us today. Generous of you to be 96 00:05:39,279 --> 00:05:46,359 Speaker 1: with this. Jeffrey Rosenberg is with Black Rocks. This is 97 00:05:46,360 --> 00:05:48,840 Speaker 1: a joy. She is out of the combine at Washington 98 00:05:48,960 --> 00:05:52,400 Speaker 1: University of St. Louis. I think the Laura Douglas North 99 00:05:52,520 --> 00:05:57,240 Speaker 1: among others, Lawrence Meyer as well, Terrace Singlair Sinclair joins 100 00:05:57,320 --> 00:06:01,320 Speaker 1: us now from George Washington University or she is expert 101 00:06:01,520 --> 00:06:06,080 Speaker 1: in counting the data Tera, do you have any idea 102 00:06:06,200 --> 00:06:09,680 Speaker 1: how to count the data amid a pandemic. Is the 103 00:06:09,800 --> 00:06:12,960 Speaker 1: data that you see it, indeed, is the data that 104 00:06:13,040 --> 00:06:19,400 Speaker 1: we see on Bloomberg's surveilance every day. Is it truly believable? Well, 105 00:06:19,440 --> 00:06:22,680 Speaker 1: I mean, obviously there's a lot of complexity here. And 106 00:06:22,720 --> 00:06:25,520 Speaker 1: you know, when we're thinking about using data for modeling 107 00:06:25,560 --> 00:06:29,560 Speaker 1: or for forecasting, we're typically relying on the historical patterns 108 00:06:29,600 --> 00:06:32,839 Speaker 1: being applicable to today, and so it's really hard to 109 00:06:32,880 --> 00:06:36,960 Speaker 1: find historical patterns that makes sense when we're seeing such 110 00:06:37,080 --> 00:06:40,160 Speaker 1: novel events happening day to day and where we keep 111 00:06:40,240 --> 00:06:43,159 Speaker 1: using the word unprecedented over and over and over again. 112 00:06:43,839 --> 00:06:46,760 Speaker 1: But it is still the case that our statistical agencies, 113 00:06:46,800 --> 00:06:49,000 Speaker 1: you know, for today, the Bureau Labor Statistics, the numbers 114 00:06:49,000 --> 00:06:51,760 Speaker 1: that they're putting out, they're working very very hard to 115 00:06:51,800 --> 00:06:55,280 Speaker 1: put out the cleanest, clearest numbers that they can, and 116 00:06:55,320 --> 00:06:58,240 Speaker 1: it's still important to look at this information in order 117 00:06:58,279 --> 00:07:01,080 Speaker 1: to be able to have some site as to what's 118 00:07:01,080 --> 00:07:05,200 Speaker 1: going on terra The key question continues to be the 119 00:07:05,240 --> 00:07:07,960 Speaker 1: participation right. The fact that the participation rate did not 120 00:07:08,240 --> 00:07:11,040 Speaker 1: increase even as we saw the jobless rate fall to 121 00:07:11,080 --> 00:07:14,880 Speaker 1: the lowest going back to February of raises some alarm Bells. 122 00:07:14,960 --> 00:07:16,880 Speaker 1: Why is it that people are not going back into 123 00:07:16,880 --> 00:07:20,160 Speaker 1: the labor market and what could prop possibly bring them in. 124 00:07:20,400 --> 00:07:22,760 Speaker 1: What's your experience, both on the ground as well as 125 00:07:22,960 --> 00:07:26,160 Speaker 1: from an academic setting. Yeah, well, I mean, I think 126 00:07:26,200 --> 00:07:29,520 Speaker 1: we really have to think carefully about what the incentives 127 00:07:29,560 --> 00:07:32,600 Speaker 1: are for people to participate in the labor force right now. 128 00:07:32,920 --> 00:07:35,480 Speaker 1: And we still have a pandemic going on and that 129 00:07:35,720 --> 00:07:40,400 Speaker 1: is definitely holding back participation, both directly from concerns about 130 00:07:40,400 --> 00:07:43,520 Speaker 1: the virus, but also from other challenges. You're trying to 131 00:07:43,560 --> 00:07:46,520 Speaker 1: figure out childcare situation when you don't know when your 132 00:07:46,640 --> 00:07:50,080 Speaker 1: your child might test positive for the virus, you have 133 00:07:50,240 --> 00:07:53,160 Speaker 1: to care for others in your household in other ways. 134 00:07:53,560 --> 00:07:58,040 Speaker 1: That's also an additional constraint on labor force participation. And 135 00:07:58,080 --> 00:08:00,200 Speaker 1: we also have to remember we still have those long 136 00:08:00,240 --> 00:08:04,880 Speaker 1: demographic trends that are drawing down that overall lea reforce participation, 137 00:08:04,960 --> 00:08:07,320 Speaker 1: so we may never get back to leave beforce participation 138 00:08:07,400 --> 00:08:11,360 Speaker 1: rates we saw pre pandemic, because we've got the retirement 139 00:08:11,360 --> 00:08:13,080 Speaker 1: of the baby that was happening at the same time. 140 00:08:14,920 --> 00:08:17,240 Speaker 1: So this raises an issue of is this as good 141 00:08:17,240 --> 00:08:19,960 Speaker 1: as it gets and are we going to see for example, 142 00:08:20,000 --> 00:08:23,600 Speaker 1: wages increase much more than people are expecting because that 143 00:08:23,680 --> 00:08:26,720 Speaker 1: participation rate may not go up that much higher. As 144 00:08:26,760 --> 00:08:28,720 Speaker 1: you said, it may not ever get back to where 145 00:08:28,760 --> 00:08:32,120 Speaker 1: we saw a pre pandemic. What's your view on that. Well, 146 00:08:32,240 --> 00:08:36,600 Speaker 1: I still see this as a temporary maximum employment where 147 00:08:36,600 --> 00:08:38,960 Speaker 1: we are right now, where we may be close to 148 00:08:39,520 --> 00:08:42,880 Speaker 1: as far as we can get. But at the same time, 149 00:08:42,920 --> 00:08:47,360 Speaker 1: we may still see additional improvement once we get more 150 00:08:47,440 --> 00:08:55,080 Speaker 1: clarity about the long term UH situation with the virus. Tara, 151 00:08:55,520 --> 00:08:59,359 Speaker 1: thank you so much. Terris Sinclaire with George Washington University 152 00:08:59,520 --> 00:09:06,320 Speaker 1: today on some of the data nuances of this. Tiffany 153 00:09:06,320 --> 00:09:09,719 Speaker 1: Wilde is expert at time began she joins us now 154 00:09:09,760 --> 00:09:12,360 Speaker 1: from PIMCO. What a shock to get the rico Dona. 155 00:09:12,440 --> 00:09:18,960 Speaker 1: Note Tiffany that before holiday, before seasonal, before this, before that, 156 00:09:19,520 --> 00:09:25,200 Speaker 1: this was a very strong report. How strong was it? Yeah? Well, 157 00:09:25,200 --> 00:09:27,840 Speaker 1: good morning Tom and Paul. Um, you know, so, although 158 00:09:27,880 --> 00:09:30,480 Speaker 1: the headline number was a bit disappointing. Um, you know, 159 00:09:30,720 --> 00:09:32,840 Speaker 1: I just keep in mind that there are two surveys 160 00:09:32,880 --> 00:09:37,439 Speaker 1: underlying any payroll report, and the household survey, which isn't 161 00:09:37,840 --> 00:09:40,160 Speaker 1: given as the headline number. Um, you know, it was 162 00:09:40,160 --> 00:09:43,040 Speaker 1: actually quite strong, you know, and I think that really 163 00:09:43,200 --> 00:09:45,520 Speaker 1: is what the FOMC, for example, is going to be 164 00:09:45,559 --> 00:09:47,920 Speaker 1: focusing on. So they're going to be looking at the 165 00:09:48,000 --> 00:09:51,880 Speaker 1: six approximately six and fifty job genes um, which pushed 166 00:09:51,880 --> 00:09:55,880 Speaker 1: the unemployment rate down to three nine percent below their 167 00:09:56,040 --> 00:09:58,960 Speaker 1: estimates for kind of that long run level a proxy 168 00:09:59,000 --> 00:10:02,200 Speaker 1: for maximum employee it so you know, by by this measure, 169 00:10:02,600 --> 00:10:06,280 Speaker 1: we're sort of at maximum employment. Of course, inflation has 170 00:10:06,400 --> 00:10:09,480 Speaker 1: you know, um, you know, met their standard for hiking 171 00:10:09,480 --> 00:10:12,200 Speaker 1: interest rates, you know. So to me, this report just 172 00:10:12,240 --> 00:10:16,160 Speaker 1: solidifies after the minutes UM earlier this week, which which 173 00:10:16,160 --> 00:10:18,840 Speaker 1: I would argue that showed the Fed very focused on 174 00:10:18,920 --> 00:10:22,480 Speaker 1: upside risk to inflation UM and in a labor market 175 00:10:22,520 --> 00:10:25,719 Speaker 1: that's rapidly recovering that this just solidifies the March rate 176 00:10:25,760 --> 00:10:28,080 Speaker 1: hike that the market was already pricing in. Yeah, that's 177 00:10:28,120 --> 00:10:29,880 Speaker 1: kind of where I wanted to go, Tiffany. I mean, 178 00:10:30,480 --> 00:10:33,920 Speaker 1: you know, how do you think the FED will interpret 179 00:10:34,000 --> 00:10:36,760 Speaker 1: the data here today? Because even though the headline a 180 00:10:36,800 --> 00:10:39,560 Speaker 1: little bit disappointing relative to Consett, there's a lot of 181 00:10:39,640 --> 00:10:44,360 Speaker 1: positives underneath. Yeah, I mean so, so I think you know, again, 182 00:10:44,440 --> 00:10:47,360 Speaker 1: you always have to be really careful because UM, you know, 183 00:10:47,400 --> 00:10:49,960 Speaker 1: there can be statistical noise around any report, and I 184 00:10:50,000 --> 00:10:52,920 Speaker 1: think the establishment survey UM had a little bit of 185 00:10:52,920 --> 00:10:54,880 Speaker 1: that going on. So what what we kind of thought 186 00:10:54,920 --> 00:10:56,800 Speaker 1: also that was going to happen was that you had 187 00:10:57,360 --> 00:11:01,360 Speaker 1: establishments businesses right that kind of pulled full word hiring UM. 188 00:11:01,360 --> 00:11:03,000 Speaker 1: And I think that happened across a gain and that 189 00:11:03,160 --> 00:11:06,199 Speaker 1: what we saw was a pretty big surgeon hiring in October, 190 00:11:06,600 --> 00:11:09,480 Speaker 1: and that's been followed by UM, you know, a weaker 191 00:11:09,840 --> 00:11:12,160 Speaker 1: kind of weaker prince if you will, although two hundred 192 00:11:12,720 --> 00:11:16,000 Speaker 1: UM thousand jobs is still pretty strong, but weaker than 193 00:11:16,040 --> 00:11:18,040 Speaker 1: that prince UM in the months to follow. Now, I 194 00:11:18,040 --> 00:11:19,760 Speaker 1: think that will kind of wash out of the data 195 00:11:20,000 --> 00:11:22,800 Speaker 1: UM in January, but well, of course we'll have to 196 00:11:22,840 --> 00:11:24,640 Speaker 1: see what happened with oh Macron. I think the more 197 00:11:24,679 --> 00:11:27,520 Speaker 1: important thing here, though, is the household survey. You know, 198 00:11:27,559 --> 00:11:30,800 Speaker 1: it's very strong and and it it's been lagging over 199 00:11:30,800 --> 00:11:32,880 Speaker 1: the last year, but it's recently caught up, and I 200 00:11:32,920 --> 00:11:35,800 Speaker 1: think that reflects the fact that we've seen actually a 201 00:11:35,800 --> 00:11:39,840 Speaker 1: lot of establishments of of proprietors UM, you know, people 202 00:11:39,880 --> 00:11:42,839 Speaker 1: that you know aren't working in the more traditional UM 203 00:11:42,840 --> 00:11:45,640 Speaker 1: you know, kind of corporate establishment jobs and the household 204 00:11:45,640 --> 00:11:49,320 Speaker 1: survey picks that up, whereas establishment survey doesn't. You know. So, 205 00:11:49,520 --> 00:11:51,760 Speaker 1: I think that the household survey being very strong is 206 00:11:51,800 --> 00:11:54,040 Speaker 1: something that the fomc IS is really going to focus 207 00:11:54,080 --> 00:11:56,840 Speaker 1: on here, especially in the unemployment rate. Why don't we 208 00:11:56,960 --> 00:11:59,559 Speaker 1: focus on that? What is the history where media is 209 00:11:59,640 --> 00:12:04,360 Speaker 1: fixed aided by non farm payrolls traditionally two D thousand, MG, 210 00:12:04,520 --> 00:12:06,559 Speaker 1: we're gonna go to one fifty as a run, right, 211 00:12:06,679 --> 00:12:09,439 Speaker 1: we all got that wrong? And then you know, we 212 00:12:09,559 --> 00:12:11,840 Speaker 1: focus on that. Why don't we focus on the other survey? 213 00:12:12,120 --> 00:12:15,200 Speaker 1: David mal Passed when he was at bear Stearns focused 214 00:12:15,240 --> 00:12:19,160 Speaker 1: on that. Yeah, Well, I mean, I think traditionally, you know, well, 215 00:12:19,160 --> 00:12:22,680 Speaker 1: obviously most of the higher percentage of jobs in general 216 00:12:22,720 --> 00:12:25,960 Speaker 1: in the United States are through large corporates and and 217 00:12:25,960 --> 00:12:29,440 Speaker 1: and larger establishments UM. And so that survey, you know, 218 00:12:29,480 --> 00:12:31,960 Speaker 1: I think is a very good proxy UM. And in addition, 219 00:12:32,000 --> 00:12:34,880 Speaker 1: the household survey can be noisy, can suffer from you know, 220 00:12:34,920 --> 00:12:37,400 Speaker 1: kind of more statistical noise from months a month, but 221 00:12:37,440 --> 00:12:40,480 Speaker 1: that the pandemic, it does seem, has changed a lot 222 00:12:40,559 --> 00:12:43,640 Speaker 1: of how people are are working UM or not or 223 00:12:43,679 --> 00:12:45,680 Speaker 1: not working quite frankly. And one of the things I 224 00:12:45,679 --> 00:12:53,440 Speaker 1: think that has changed pandemic people prefer to have soldier triatorships. Right. So, So, Tiffany, 225 00:12:53,520 --> 00:12:56,640 Speaker 1: is I look at that average hourly earnings year on 226 00:12:56,760 --> 00:13:00,840 Speaker 1: your growth of four point seven? Is that wage inflation? 227 00:13:01,000 --> 00:13:04,520 Speaker 1: Is wage inflation is something that investors, maybe the Federal 228 00:13:04,600 --> 00:13:08,280 Speaker 1: Reserve needs to think about. Yeah, I mean I certainly 229 00:13:09,000 --> 00:13:12,560 Speaker 1: they cannot. I think they can't ignore the wage inflation 230 00:13:12,600 --> 00:13:15,880 Speaker 1: statistics that are they're coming out of this survey. UM. 231 00:13:16,000 --> 00:13:19,360 Speaker 1: And and although you know it's well known that it UM, 232 00:13:19,440 --> 00:13:22,080 Speaker 1: you know, there are some compositional effects that that have 233 00:13:22,480 --> 00:13:24,960 Speaker 1: you know that that sort of distort can distort these numbers. 234 00:13:25,360 --> 00:13:27,600 Speaker 1: You know. I think the bottom line is is that 235 00:13:27,679 --> 00:13:31,240 Speaker 1: wage inflation UM. You know, it's clearly strong for low 236 00:13:31,280 --> 00:13:35,200 Speaker 1: wage jobs UM. And I think it's potentially broadening out. 237 00:13:35,360 --> 00:13:39,120 Speaker 1: And that's really what the Fed cares about, UM, you know, 238 00:13:39,160 --> 00:13:42,040 Speaker 1: and in terms of of looking at longer term inflation 239 00:13:42,080 --> 00:13:45,880 Speaker 1: expectations and how they're filtering into the way people bargain 240 00:13:45,960 --> 00:13:48,920 Speaker 1: for jobs. UM, it's really they're they're really concerned with, 241 00:13:48,960 --> 00:13:52,000 Speaker 1: you know, is wage inflation really broadening out across sectors? 242 00:13:52,040 --> 00:13:55,400 Speaker 1: And and our businesses passing on, you know, further passing 243 00:13:55,400 --> 00:13:57,880 Speaker 1: that on to consumers. You know what, I think there 244 00:13:57,960 --> 00:13:59,720 Speaker 1: is some there is some evidence, right that we're getting 245 00:13:59,720 --> 00:14:02,600 Speaker 1: the broad out there. That's right, We're wanting to go here. 246 00:14:02,600 --> 00:14:04,920 Speaker 1: You're thinking, it's like, I am, Tiffany, what is the 247 00:14:05,000 --> 00:14:09,880 Speaker 1: evidence right now that we're actually seeing wage inflation besides 248 00:14:09,960 --> 00:14:13,880 Speaker 1: big press headlines from people like Amazon and warehouse workers 249 00:14:13,880 --> 00:14:16,880 Speaker 1: in that is it really out there? Well? Yeah, I 250 00:14:16,920 --> 00:14:20,200 Speaker 1: mean so, I think the Atlanta Fed measure is UM 251 00:14:20,480 --> 00:14:22,960 Speaker 1: is really helpful in that regard. And and and again it 252 00:14:23,080 --> 00:14:26,560 Speaker 1: shows that UM, you know, it's lower, lower wage, lower 253 00:14:26,560 --> 00:14:28,680 Speaker 1: skilled service jobs that are really seeing the brunt of 254 00:14:28,680 --> 00:14:31,400 Speaker 1: the wage inflation UM. But I think that a lot 255 00:14:31,440 --> 00:14:36,400 Speaker 1: of other jobs, UM, they get contract contract renegotiations happen 256 00:14:36,440 --> 00:14:38,200 Speaker 1: at the end of the year UM. And of course 257 00:14:38,240 --> 00:14:40,480 Speaker 1: the December report maybe doesn't pick this up, but in 258 00:14:40,560 --> 00:14:43,720 Speaker 1: January it's going to be very important to see are people, 259 00:14:44,040 --> 00:14:46,840 Speaker 1: you know, in broader sectors of the economy, are they 260 00:14:46,840 --> 00:14:49,760 Speaker 1: actually getting cost of living adjustments UM? And is that 261 00:14:49,800 --> 00:14:52,680 Speaker 1: broadening out? And and can people sort of bargain for that? So, 262 00:14:52,960 --> 00:14:55,080 Speaker 1: you know, again, I think there's some small indications that 263 00:14:55,160 --> 00:14:58,520 Speaker 1: that's starting to happen um now UM, and of course 264 00:14:58,560 --> 00:15:00,040 Speaker 1: this is this will be something that will be a 265 00:15:00,200 --> 00:15:01,960 Speaker 1: focused on them in the beginning of the year, getting 266 00:15:01,960 --> 00:15:06,040 Speaker 1: indications of that. All right, So, Tiffany, given the labor 267 00:15:06,280 --> 00:15:10,640 Speaker 1: data that we got today, what is the PIMPCO g 268 00:15:10,760 --> 00:15:13,360 Speaker 1: DP outlook and kind of what are the levers there 269 00:15:13,720 --> 00:15:16,360 Speaker 1: that could move it one way or the other? Yeah, 270 00:15:16,400 --> 00:15:18,760 Speaker 1: I mean so so overall, I mean, our forecasts, like 271 00:15:18,880 --> 00:15:22,120 Speaker 1: many other forecasters, are uh, you know, we're looking for 272 00:15:22,280 --> 00:15:24,520 Speaker 1: kind of a goldilocks environment of you will, of of 273 00:15:24,920 --> 00:15:29,120 Speaker 1: still strong GDP growth, but but something that's moderating, you know, 274 00:15:29,160 --> 00:15:31,640 Speaker 1: because the fiscal stimulus that we've gotten over the last 275 00:15:31,680 --> 00:15:35,080 Speaker 1: couple of years, of course is also moderating UM. But 276 00:15:35,160 --> 00:15:37,920 Speaker 1: in the midst of that, we're also, like many forecasters, 277 00:15:37,960 --> 00:15:42,080 Speaker 1: looking for inflation to to also moderate back, you know, 278 00:15:42,120 --> 00:15:46,200 Speaker 1: more towards levels consistent with with UM in central bank targets. Now. 279 00:15:46,360 --> 00:15:49,320 Speaker 1: You know, I again, I call that a goldilocks environment, UM, 280 00:15:49,360 --> 00:15:51,280 Speaker 1: And I think that's there's reasons to believe that's still 281 00:15:51,320 --> 00:15:53,840 Speaker 1: the base case, but there's a lot of risks underlying that, 282 00:15:53,920 --> 00:15:56,560 Speaker 1: and I think those risks have increased lately. You know. 283 00:15:56,600 --> 00:15:59,440 Speaker 1: One of them obviously is the you know, just inflation 284 00:15:59,520 --> 00:16:03,120 Speaker 1: remains per distantly elevated. UM. I think another risk, though 285 00:16:03,320 --> 00:16:06,320 Speaker 1: maybe underappreciated by markets, I'm not sure, is that you 286 00:16:06,320 --> 00:16:09,000 Speaker 1: could actually get a more abrupt tightening of financial conditions 287 00:16:09,320 --> 00:16:11,280 Speaker 1: related to that as well. Right, And because I think 288 00:16:11,280 --> 00:16:14,200 Speaker 1: the Fed you know, so far has been very um, 289 00:16:14,400 --> 00:16:17,400 Speaker 1: you know, they've been very successful in moving market expectations 290 00:16:17,400 --> 00:16:21,000 Speaker 1: for earlier timing of rate hikes, but miraculously broader financial 291 00:16:21,000 --> 00:16:24,480 Speaker 1: conditions to cross you know, equities, currencies, etcetera hadn't really tightened, 292 00:16:24,920 --> 00:16:26,560 Speaker 1: you know. So I think that raises the risk that 293 00:16:26,600 --> 00:16:29,520 Speaker 1: you get a more um, you know, a faster, more 294 00:16:29,600 --> 00:16:32,080 Speaker 1: uh you know, more volatile adjustment um you know. And 295 00:16:32,160 --> 00:16:33,880 Speaker 1: of course I think that's what something the FED does 296 00:16:33,920 --> 00:16:35,720 Speaker 1: want to avoid, you know. And then I think the 297 00:16:35,800 --> 00:16:38,800 Speaker 1: third risk obviously is just is just the virus itself. UM. 298 00:16:38,840 --> 00:16:41,520 Speaker 1: You know. It seems like the FED was pretty unconcerned 299 00:16:41,560 --> 00:16:44,680 Speaker 1: about the economic effects of O Macron, more concerned about 300 00:16:44,680 --> 00:16:47,320 Speaker 1: the inflationary effects. UM. But I think it just it 301 00:16:47,400 --> 00:16:50,320 Speaker 1: goes to highlight just the uncertainty in general of the 302 00:16:50,400 --> 00:16:52,520 Speaker 1: virus and and what it could bring in the in 303 00:16:52,560 --> 00:16:56,280 Speaker 1: the New Year, Tiffany, Thank you so much. Tiffany World 304 00:16:56,360 --> 00:17:04,800 Speaker 1: with with Pimcoast some really good inside Younger Andrew Peckash 305 00:17:04,920 --> 00:17:07,760 Speaker 1: is on Eastern Standard Time at the Johns Hopkins University 306 00:17:08,119 --> 00:17:11,919 Speaker 1: and gives us an i'm acron brief today into the weekend. Andrew, 307 00:17:12,000 --> 00:17:14,399 Speaker 1: even a dummy like me is figured out i'm acron 308 00:17:14,560 --> 00:17:18,280 Speaker 1: is not delta, but it's something, well, there's some mystery 309 00:17:18,359 --> 00:17:22,000 Speaker 1: to it. What's the biggest mystery with a'm acron into 310 00:17:22,040 --> 00:17:26,320 Speaker 1: this weekend? I think really it circles around the issue 311 00:17:26,320 --> 00:17:30,920 Speaker 1: of why this virus seems to be so much more transmissible. Certainly, 312 00:17:31,280 --> 00:17:33,920 Speaker 1: you know, it has mutations that can invade some of 313 00:17:33,960 --> 00:17:37,280 Speaker 1: the immune responses that vaccines give you, but it really 314 00:17:37,320 --> 00:17:40,160 Speaker 1: does seem like this virus is spreading better than other 315 00:17:40,280 --> 00:17:43,360 Speaker 1: variants for other reasons, and right now we don't really 316 00:17:43,440 --> 00:17:46,680 Speaker 1: understand what that is, but certainly it seems like people 317 00:17:46,680 --> 00:17:50,320 Speaker 1: are getting infected in on conditions that previously we're highly 318 00:17:50,400 --> 00:17:55,040 Speaker 1: unlikely uh to mediate infection, and that's fueling this massive 319 00:17:55,080 --> 00:17:59,040 Speaker 1: surge of cases. Transmission is something that's really difficult to 320 00:17:59,119 --> 00:18:02,520 Speaker 1: study a laboratory, but it really is one of the 321 00:18:02,560 --> 00:18:07,440 Speaker 1: things that a macron is doing fantastically better than any 322 00:18:07,480 --> 00:18:12,240 Speaker 1: previous variant we've seen. Is there a row or is 323 00:18:12,320 --> 00:18:15,320 Speaker 1: zeta after amacron? I mean I I frankly like the 324 00:18:15,359 --> 00:18:18,200 Speaker 1: geography designations that we used to do in the old days. 325 00:18:18,240 --> 00:18:21,320 Speaker 1: But do you just assume there's another variant after this one? 326 00:18:23,640 --> 00:18:27,359 Speaker 1: There absolutely will be um. This virus has already shown 327 00:18:27,920 --> 00:18:33,360 Speaker 1: the ability to evolve, change and respond to its new 328 00:18:33,400 --> 00:18:36,720 Speaker 1: host humans, and it's now showing the ability to try 329 00:18:36,760 --> 00:18:39,920 Speaker 1: to evade some of the immune responses that are coming 330 00:18:39,920 --> 00:18:42,960 Speaker 1: down the line. I do firmly feel we're on a 331 00:18:43,000 --> 00:18:46,560 Speaker 1: path to make this disease caused by this virus much 332 00:18:46,640 --> 00:18:53,119 Speaker 1: more mild, much work contained, because we will have population immunity, 333 00:18:53,160 --> 00:18:58,080 Speaker 1: we will have vaccines that are effectively knocking down severe disease, 334 00:18:58,280 --> 00:19:01,120 Speaker 1: and will eventually have antiviral that are distributed to help 335 00:19:01,280 --> 00:19:03,479 Speaker 1: limit that. So there are ways that we can control 336 00:19:03,560 --> 00:19:06,919 Speaker 1: this disease. But this virus will be around for a 337 00:19:06,960 --> 00:19:09,120 Speaker 1: long time, and it's looking more and more like we're 338 00:19:09,119 --> 00:19:11,000 Speaker 1: gonna have to deal with this like we deal with 339 00:19:11,280 --> 00:19:15,320 Speaker 1: seasonal influenza. Andy, When do we get to that point 340 00:19:15,400 --> 00:19:17,720 Speaker 1: where we have enough whether it's herd immunity or just 341 00:19:17,760 --> 00:19:21,320 Speaker 1: immunity in the general population with also the remedies, the 342 00:19:21,320 --> 00:19:24,320 Speaker 1: anti virals and the vaccines where we can basically go 343 00:19:24,400 --> 00:19:27,480 Speaker 1: back to life as it is, basically treat this like 344 00:19:27,560 --> 00:19:30,600 Speaker 1: the common cold or the flu. Well. I really do 345 00:19:30,680 --> 00:19:33,359 Speaker 1: feel like this surge of all macron cases is really 346 00:19:33,359 --> 00:19:36,240 Speaker 1: going to be the tipping point because with the massive 347 00:19:36,320 --> 00:19:38,679 Speaker 1: number of cases, and let's be clear, some of the 348 00:19:38,720 --> 00:19:42,879 Speaker 1: official counts are probably underestimates of the true number of 349 00:19:42,920 --> 00:19:44,840 Speaker 1: cases that are out there right now because of a 350 00:19:44,920 --> 00:19:48,000 Speaker 1: number of reasons. But this surge of all macron cases 351 00:19:48,520 --> 00:19:51,520 Speaker 1: maybe what really pushes us over that border to enough 352 00:19:51,560 --> 00:19:56,920 Speaker 1: immunity in the population so that transmission is limited and therefore, 353 00:19:57,200 --> 00:19:59,159 Speaker 1: you know, the likelihood of getting infected will be a 354 00:19:59,200 --> 00:20:03,200 Speaker 1: little bit lower going forward from here, How do people 355 00:20:03,240 --> 00:20:08,560 Speaker 1: avoid getting sick? Well, it really comes down to those 356 00:20:08,600 --> 00:20:11,720 Speaker 1: basic principles we've been talking about, perhaps boost it up 357 00:20:11,760 --> 00:20:14,600 Speaker 1: a little bit. I'm a big believer now that people 358 00:20:14,600 --> 00:20:18,200 Speaker 1: should be really thinking about wearing K and nine masks 359 00:20:18,840 --> 00:20:22,760 Speaker 1: um or double masking with a surgical mask and a 360 00:20:22,800 --> 00:20:26,160 Speaker 1: facial covering on top of that. I think that this 361 00:20:26,600 --> 00:20:31,000 Speaker 1: increased transmission of a macron requires people to take an 362 00:20:31,040 --> 00:20:35,400 Speaker 1: even greater UM effort to try to limit their exposures. 363 00:20:35,400 --> 00:20:38,520 Speaker 1: And again, masking is one thing. The other social distancing 364 00:20:38,560 --> 00:20:42,040 Speaker 1: issues that we've talked about UM are important to continue 365 00:20:42,119 --> 00:20:45,400 Speaker 1: to do, UH, do as much work as you can remotely, 366 00:20:46,000 --> 00:20:47,920 Speaker 1: but when you're going into situations where you're going to 367 00:20:47,960 --> 00:20:50,200 Speaker 1: be exposed to people, realize that you need to up 368 00:20:50,200 --> 00:20:51,919 Speaker 1: your game in terms of the things you do to 369 00:20:51,960 --> 00:20:56,200 Speaker 1: protect yourself and be wary of of getting infected. Andie 370 00:20:56,200 --> 00:20:58,720 Speaker 1: pekash there andie thank you sir as always that John's 371 00:20:58,720 --> 00:21:01,320 Speaker 1: Helpin splim By School of Public calf On. Yes three, 372 00:21:01,359 --> 00:21:04,359 Speaker 1: Tom entering, Yes three of all of this, and it 373 00:21:04,440 --> 00:21:08,480 Speaker 1: feels like a lifetime for so many people. This is 374 00:21:08,480 --> 00:21:12,480 Speaker 1: the Bloomberg Surveillance Podcast. Thanks for listening. Join us live 375 00:21:12,640 --> 00:21:16,399 Speaker 1: weekdays from seven to ten am Eastern on Bloomberg Radio 376 00:21:16,640 --> 00:21:20,280 Speaker 1: and on Bloomberg Television each day from six to nine 377 00:21:20,320 --> 00:21:24,720 Speaker 1: am for insight from the best in economics, finance, investment, 378 00:21:24,880 --> 00:21:29,879 Speaker 1: and international relations. And subscribe to the Surveillance podcast on 379 00:21:29,960 --> 00:21:33,800 Speaker 1: Apple podcast, SoundCloud, Bloomberg dot com, and of course on 380 00:21:33,920 --> 00:21:38,080 Speaker 1: the terminal. I'm Tom Keene and this is Bloomberg