1 00:00:02,680 --> 00:00:05,360 Speaker 1: Welcome to the Bloomberg Penl podcast. I'm Paul swing you, 2 00:00:05,400 --> 00:00:07,720 Speaker 1: along with my co host Lisa Brahma Ways, each day 3 00:00:07,720 --> 00:00:10,280 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,320 --> 00:00:12,560 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,600 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,560 --> 00:00:18,000 Speaker 1: Podcasts or wherever you listen to podcasts, as well as 7 00:00:18,000 --> 00:00:22,000 Speaker 1: at Bloomberg dot com. Fascinating numbers that came out today 8 00:00:22,120 --> 00:00:26,800 Speaker 1: absolutely blew away any and all projections via US economists 9 00:00:26,920 --> 00:00:30,200 Speaker 1: and frankly raised a lot of questions given the anecdotal 10 00:00:30,280 --> 00:00:32,440 Speaker 1: data that we keep getting, Tom, what did you make 11 00:00:32,720 --> 00:00:35,720 Speaker 1: of this information? I think a lot of it's the 12 00:00:35,720 --> 00:00:39,279 Speaker 1: PPP money. I think, if if I read the data correctly, 13 00:00:39,440 --> 00:00:41,920 Speaker 1: the report that a lot of the people coming back, 14 00:00:42,000 --> 00:00:44,640 Speaker 1: or a decent percentage were furlog were the furloged folks, 15 00:00:45,000 --> 00:00:48,080 Speaker 1: which means, and I listened, beggars can't be choosers. We're 16 00:00:48,120 --> 00:00:51,520 Speaker 1: adding people to work who weren't working. But these aren't 17 00:00:51,520 --> 00:00:54,240 Speaker 1: newly created jobs. They're old jobs bringing people back, which 18 00:00:54,240 --> 00:00:56,200 Speaker 1: is a positive sign, and to look at it any 19 00:00:56,200 --> 00:00:58,840 Speaker 1: other way as crazy, and we should be very optimistic 20 00:00:58,840 --> 00:01:02,560 Speaker 1: from this number so interesting, Tom, it's um I think 21 00:01:02,560 --> 00:01:05,000 Speaker 1: no matter either. Are some nuances in this number time, 22 00:01:05,040 --> 00:01:08,440 Speaker 1: but it's just signal to you kind of at the 23 00:01:08,560 --> 00:01:13,200 Speaker 1: very least setting a bottom for the employment picture. I'm 24 00:01:13,200 --> 00:01:16,039 Speaker 1: not necessarily sure about that. I think for the short term, 25 00:01:16,080 --> 00:01:19,400 Speaker 1: meaning sixty days, it's probably abottom. But what we've got 26 00:01:19,440 --> 00:01:21,440 Speaker 1: to see is what happens in the end of the 27 00:01:21,440 --> 00:01:24,880 Speaker 1: third quarter, in early fourth quarter, if the airline travel 28 00:01:24,959 --> 00:01:27,959 Speaker 1: doesn't pick up, in the airlines lay people off, and 29 00:01:28,200 --> 00:01:31,720 Speaker 1: hotels UH don't continue to grow. If if we do 30 00:01:31,800 --> 00:01:35,119 Speaker 1: get another spike from COVID, and what happens in that 31 00:01:35,200 --> 00:01:39,720 Speaker 1: regard um to working in the in the restaurant service space, 32 00:01:40,040 --> 00:01:43,520 Speaker 1: I think we could have another big, big hit, Tom. 33 00:01:43,560 --> 00:01:45,760 Speaker 1: I think it's fascinating to get your view. I know 34 00:01:45,840 --> 00:01:48,600 Speaker 1: you've been more optimistic than a lot of economists have 35 00:01:49,120 --> 00:01:51,880 Speaker 1: over the past months and years when we've had you 36 00:01:51,960 --> 00:01:55,000 Speaker 1: on and always added really good perspective. Right now, you 37 00:01:55,120 --> 00:01:58,200 Speaker 1: sound less optimistic than a lot of people are when 38 00:01:58,200 --> 00:02:01,000 Speaker 1: they take a look at these numbers. What are you 39 00:02:01,080 --> 00:02:06,120 Speaker 1: seeing on the ground that's making you less optimistic? So 40 00:02:06,200 --> 00:02:08,480 Speaker 1: what's happened in a in a in a true recession 41 00:02:08,520 --> 00:02:12,480 Speaker 1: which I believe we're in is companies stop hiring in volume. 42 00:02:12,520 --> 00:02:14,760 Speaker 1: They have key hires they need to make, and they 43 00:02:14,800 --> 00:02:17,000 Speaker 1: may get a new project and they bring people on, 44 00:02:17,320 --> 00:02:19,760 Speaker 1: but there isn't growth for few there is. They are 45 00:02:19,880 --> 00:02:23,520 Speaker 1: isn't hiring for future growth because they believe they're gonna 46 00:02:23,560 --> 00:02:26,400 Speaker 1: need it. And that belief is what's been fueling this 47 00:02:26,480 --> 00:02:29,640 Speaker 1: bull market for ten years, is that companies keep thinking 48 00:02:29,639 --> 00:02:32,480 Speaker 1: it's going to get stronger and better, and it has been. 49 00:02:32,840 --> 00:02:35,960 Speaker 1: And now what we've seen, uh is companies are not 50 00:02:36,080 --> 00:02:39,880 Speaker 1: hiring in volume. We're not seeing sales hiring, which is 51 00:02:39,919 --> 00:02:43,280 Speaker 1: a really big indicator. When companies are building up their salesforce, 52 00:02:43,600 --> 00:02:46,800 Speaker 1: it means they're anticipating that they'll be more revenue growth, 53 00:02:46,800 --> 00:02:49,040 Speaker 1: and that leads to other areas of the business not 54 00:02:49,160 --> 00:02:51,560 Speaker 1: seeing that in volume. A few hires here and there, 55 00:02:51,840 --> 00:02:55,120 Speaker 1: but again not in volume, and that gives me some concern. 56 00:02:55,560 --> 00:02:58,400 Speaker 1: And then temporary staffing, which we have a large business 57 00:02:58,400 --> 00:03:01,840 Speaker 1: practice in that area, is usually a leading indicator, and 58 00:03:01,880 --> 00:03:04,760 Speaker 1: it's not It's not as terrible as the search business, 59 00:03:04,919 --> 00:03:07,320 Speaker 1: but it definitely isn't starting to grow at the rapid 60 00:03:07,400 --> 00:03:10,040 Speaker 1: volume that we've seen over the past ten and really 61 00:03:10,080 --> 00:03:13,320 Speaker 1: past twenty years, so I'm a little bit apprehensive. And 62 00:03:13,320 --> 00:03:15,959 Speaker 1: then the liquidity issue is what's going to happen after 63 00:03:16,000 --> 00:03:19,520 Speaker 1: the p PP money rolls off and companies don't have 64 00:03:19,600 --> 00:03:22,839 Speaker 1: to keep their employees anymore. And if revenues aren't there, 65 00:03:23,000 --> 00:03:26,480 Speaker 1: whether it's due to COVID, whether it's due to social unrest, 66 00:03:27,040 --> 00:03:30,480 Speaker 1: is are we going to have a situation where companies 67 00:03:30,520 --> 00:03:35,480 Speaker 1: have there's more bankruptcies? Tom, This is an incredibly important conversation. Frankly, 68 00:03:35,600 --> 00:03:37,920 Speaker 1: what you are telling me finally is giving me some light. 69 00:03:38,280 --> 00:03:40,440 Speaker 1: I've had so many questions this morning. This is one 70 00:03:40,440 --> 00:03:42,800 Speaker 1: of the most confusing data dumps I have ever seen 71 00:03:42,840 --> 00:03:46,320 Speaker 1: in my life. And even with the p PP taken 72 00:03:46,440 --> 00:03:49,440 Speaker 1: into account, as Matt Bosler of Bloomberg News was just 73 00:03:49,480 --> 00:03:51,960 Speaker 1: talking about, that still would only bring not only I 74 00:03:51,960 --> 00:03:54,040 Speaker 1: mean it's still catastrophic, but it would bring the unemployment 75 00:03:54,120 --> 00:03:57,960 Speaker 1: rate up to about six still well below consensus. So 76 00:03:58,280 --> 00:04:01,280 Speaker 1: is it that the market is better than people expected, 77 00:04:01,280 --> 00:04:05,160 Speaker 1: but not as necessarily good as the headline numbers here imply, 78 00:04:05,560 --> 00:04:08,600 Speaker 1: or is it closer to what people had expected. We 79 00:04:08,720 --> 00:04:12,040 Speaker 1: just aren't seeing that level of actual layoffs just yet. 80 00:04:13,280 --> 00:04:15,640 Speaker 1: Well we've seen is is that the service level can 81 00:04:15,680 --> 00:04:18,599 Speaker 1: only get hit so hard. It's that's the difference between 82 00:04:18,680 --> 00:04:23,040 Speaker 1: restaurants and hospitality versus white collar. Is if the restaurants 83 00:04:23,080 --> 00:04:26,360 Speaker 1: lay everybody off, which is what essentially has happened, there 84 00:04:26,480 --> 00:04:28,919 Speaker 1: is no more cutting. If you have a company, a 85 00:04:28,960 --> 00:04:32,680 Speaker 1: Fortune five company that's done layoffs like a bowling or 86 00:04:32,680 --> 00:04:35,440 Speaker 1: who are an airline or whomever else, they're not laying 87 00:04:35,440 --> 00:04:38,400 Speaker 1: off the entire company. And that's what the restaurants have 88 00:04:38,520 --> 00:04:41,520 Speaker 1: done for the most part. And so what we see 89 00:04:41,560 --> 00:04:44,520 Speaker 1: now is there there really isn't that much more room 90 00:04:44,560 --> 00:04:47,240 Speaker 1: to go on the service side on the hospitality side. 91 00:04:47,520 --> 00:04:50,799 Speaker 1: So now it is does part two of the real 92 00:04:50,880 --> 00:04:53,719 Speaker 1: white collar layoffs we've had them, but we haven't had 93 00:04:53,920 --> 00:04:56,680 Speaker 1: If you eliminated all the service jobs and you just 94 00:04:56,800 --> 00:04:59,679 Speaker 1: had the white collar layoffs, it wouldn't be anywhere nearly 95 00:04:59,720 --> 00:05:01,960 Speaker 1: as at a stropic. We'd probably be sitting at seven 96 00:05:02,000 --> 00:05:05,960 Speaker 1: and a half percent unemployment and it wouldn't be that bad. So, Tom, 97 00:05:05,960 --> 00:05:08,040 Speaker 1: do you expect that? Is that something that you kind 98 00:05:08,040 --> 00:05:10,800 Speaker 1: of survey some of the companies that you're in touch with, 99 00:05:10,920 --> 00:05:14,479 Speaker 1: you expect kind of more white collar office level type 100 00:05:14,480 --> 00:05:18,479 Speaker 1: of layoffs across the economy coming up. Well, that'll be 101 00:05:18,480 --> 00:05:20,640 Speaker 1: the really interesting thing. And we have to see. I 102 00:05:20,640 --> 00:05:23,040 Speaker 1: mean to me, that's the difference between the V curve 103 00:05:23,160 --> 00:05:26,239 Speaker 1: versus the you or the L curve of of does 104 00:05:26,400 --> 00:05:30,320 Speaker 1: things do things bounce back? Now? The one opportunistic or 105 00:05:30,520 --> 00:05:34,520 Speaker 1: or optimistic both probably is the strength of the stock 106 00:05:34,560 --> 00:05:38,080 Speaker 1: market is seeing that the market is saying we're looking 107 00:05:38,120 --> 00:05:40,600 Speaker 1: at companies from the long term. We're not looking at 108 00:05:40,600 --> 00:05:42,760 Speaker 1: a month over month or even in the quarter that 109 00:05:42,800 --> 00:05:44,960 Speaker 1: we're saying who's the strong company and will they be 110 00:05:45,000 --> 00:05:46,960 Speaker 1: strong at the end of this year in the early 111 00:05:47,000 --> 00:05:49,240 Speaker 1: part of next year. And that lends me to believe 112 00:05:49,520 --> 00:05:51,719 Speaker 1: that companies are going to have the liquidity to be 113 00:05:51,760 --> 00:05:54,279 Speaker 1: able to hire people. So there is optimism on that. 114 00:05:54,600 --> 00:05:57,080 Speaker 1: But I think all of the BLS numbers until we 115 00:05:57,120 --> 00:06:00,800 Speaker 1: get into the July reports the first week in August 116 00:06:01,080 --> 00:06:03,440 Speaker 1: are a little bit of smoke and mirrors to really 117 00:06:03,520 --> 00:06:07,120 Speaker 1: see how things level off. Stands the p P P alright, 118 00:06:07,160 --> 00:06:11,520 Speaker 1: So looking forward, there is a question about whether this report, 119 00:06:11,560 --> 00:06:14,200 Speaker 1: given how much better than expected it was, whether it 120 00:06:14,240 --> 00:06:18,159 Speaker 1: reduces the pressure on Congress to pass additional fiscal and 121 00:06:18,160 --> 00:06:21,839 Speaker 1: and and stimulus, whether it takes the pressure off the 122 00:06:21,839 --> 00:06:25,520 Speaker 1: Federal Reserve to keep its bazooka wide open. I'm totally 123 00:06:25,520 --> 00:06:29,240 Speaker 1: conflating different metaphors there. I'm just wondering, though, from your perspective, 124 00:06:29,279 --> 00:06:34,599 Speaker 1: how worried you are about that. I think that we 125 00:06:34,640 --> 00:06:37,240 Speaker 1: should not do any more stimulus at the time being. 126 00:06:37,600 --> 00:06:41,719 Speaker 1: I think I think the government uh overshot quite frankly, now, 127 00:06:41,839 --> 00:06:44,000 Speaker 1: I'm not I'm not being critical of it from the 128 00:06:44,040 --> 00:06:46,760 Speaker 1: standpoint of in a in a catastrophe, you have to 129 00:06:46,839 --> 00:06:50,080 Speaker 1: do things at the moment, and it's easy to have hindsight. 130 00:06:50,360 --> 00:06:53,160 Speaker 1: But writing the check to everybody who makes under seventy 131 00:06:53,200 --> 00:06:57,320 Speaker 1: five thousand employed or unemployed really wasn't necessary. And what 132 00:06:57,360 --> 00:07:00,720 Speaker 1: we saw was that comping people wanted to have jobs 133 00:07:00,720 --> 00:07:03,760 Speaker 1: and companies needed to have jobs. And the real challenge 134 00:07:03,760 --> 00:07:06,200 Speaker 1: we're gonna face in Part two or Part three, however 135 00:07:06,240 --> 00:07:08,800 Speaker 1: you look at it, is the federal stimulus on the 136 00:07:08,880 --> 00:07:12,280 Speaker 1: unemployment and people who are making more money being unemployed 137 00:07:12,280 --> 00:07:14,400 Speaker 1: in these service jobs, and when they go back to work, 138 00:07:14,760 --> 00:07:17,240 Speaker 1: that's where the dynamics going to be felt come July. 139 00:07:18,080 --> 00:07:21,720 Speaker 1: All right, So, Tom, we've had differing states have different 140 00:07:22,000 --> 00:07:24,920 Speaker 1: kind of schedules for reopening their economies. Are we seeing 141 00:07:24,920 --> 00:07:28,520 Speaker 1: any regional impact unemployment data that might be reflect that. 142 00:07:29,840 --> 00:07:31,480 Speaker 1: You know what, I'd be frank with you, I haven't 143 00:07:31,480 --> 00:07:33,440 Speaker 1: had a chance to study that that much, but I 144 00:07:33,480 --> 00:07:36,400 Speaker 1: do think that that from what who I've been talking 145 00:07:36,440 --> 00:07:39,480 Speaker 1: to c e O s and finance and HR leaders 146 00:07:39,800 --> 00:07:42,440 Speaker 1: in the in the southern below the Mason Dixon line, 147 00:07:42,640 --> 00:07:45,680 Speaker 1: that it really is two different economies, and we're seeing 148 00:07:45,720 --> 00:07:50,320 Speaker 1: that those those areas, geographically speaking, are much more prone 149 00:07:50,320 --> 00:07:54,560 Speaker 1: to be proactive um and optimistic versus versus the northern 150 00:07:54,640 --> 00:07:57,800 Speaker 1: the Northern States. Just real quick here, Tom Gimble, before 151 00:07:57,800 --> 00:08:01,280 Speaker 1: we let you go, is there any color sector that 152 00:08:01,360 --> 00:08:04,920 Speaker 1: you are most concerned about from here that you expect 153 00:08:05,120 --> 00:08:08,760 Speaker 1: would suffer the first or the next round of layoffs. 154 00:08:10,000 --> 00:08:13,560 Speaker 1: Here's the really interesting thing for this recession versus the 155 00:08:13,640 --> 00:08:15,760 Speaker 1: last two where I was running a business in OH 156 00:08:15,840 --> 00:08:20,080 Speaker 1: one and O eight No. Nine, is this isn't sector focused. 157 00:08:20,360 --> 00:08:24,600 Speaker 1: It's company focused across all sectors. So you could have 158 00:08:24,960 --> 00:08:28,360 Speaker 1: an airline that actually ends up being okay and and 159 00:08:28,400 --> 00:08:30,760 Speaker 1: the majority of others that are that are in the toilet, 160 00:08:31,000 --> 00:08:33,320 Speaker 1: and that could be for every single company. I'm seeing 161 00:08:33,360 --> 00:08:37,319 Speaker 1: it in insurance and technology and manufacturing that that many 162 00:08:37,360 --> 00:08:40,000 Speaker 1: companies aren't doing great, but there's a few outliers that 163 00:08:40,080 --> 00:08:43,360 Speaker 1: really are doing well. So but if I had to 164 00:08:43,400 --> 00:08:45,600 Speaker 1: put my finger on it, I would say that that 165 00:08:45,679 --> 00:08:48,320 Speaker 1: a lot of technology based companies, I think you're gonna 166 00:08:48,320 --> 00:08:50,960 Speaker 1: see if things don't pick up, are gonna be laying 167 00:08:50,960 --> 00:08:54,680 Speaker 1: people off because their profits are lagging and they don't 168 00:08:54,720 --> 00:08:56,520 Speaker 1: have the A lot of them don't have the funding 169 00:08:56,559 --> 00:08:58,880 Speaker 1: to go out and just hire people. And that's a 170 00:08:58,880 --> 00:09:02,560 Speaker 1: real interesting dynamic, the nonprofitable companies that exist in the 171 00:09:02,600 --> 00:09:05,240 Speaker 1: tech space. Tom, thanks so much for joining us on 172 00:09:05,320 --> 00:09:09,160 Speaker 1: this historic jobs Friday. Tom Gimbal, founder and CEO of 173 00:09:09,240 --> 00:09:16,679 Speaker 1: LaSalle Network based in Chicago, breaking down those numbers. Joining 174 00:09:16,720 --> 00:09:20,760 Speaker 1: us now is someone with incredible history just surveying the 175 00:09:20,800 --> 00:09:24,640 Speaker 1: ground and the research in every aspect of the economy. 176 00:09:24,920 --> 00:09:28,439 Speaker 1: Danielle de Martino Booth, chief executive officer and chief strategistic 177 00:09:28,520 --> 00:09:32,640 Speaker 1: Quill Intelligence, also a Bloomberg opinion columnist who spent years 178 00:09:32,640 --> 00:09:35,400 Speaker 1: of the Dallas Federal Reserve as an adviser there. She 179 00:09:35,480 --> 00:09:39,120 Speaker 1: is joining us from Dallas. Danielle, as you pass into 180 00:09:39,200 --> 00:09:42,760 Speaker 1: the numbers that we got today showing that the jobless 181 00:09:42,840 --> 00:09:46,400 Speaker 1: rate actually declined even though it had been expected, to increase. 182 00:09:46,800 --> 00:09:50,080 Speaker 1: What's your main takeaway about the strength of the U. S. Economy? 183 00:09:50,559 --> 00:09:53,400 Speaker 1: You know, my biggest takeaway is that if you look 184 00:09:53,600 --> 00:09:57,120 Speaker 1: at the continuing claims number and you compare that to 185 00:09:57,160 --> 00:09:59,120 Speaker 1: the size of the workforce, you get to thirteen point 186 00:09:59,200 --> 00:10:03,880 Speaker 1: one percent, and so this is bizarrely so really, I 187 00:10:03,920 --> 00:10:07,440 Speaker 1: mean truly. I was one of the people who said, typo, uh, 188 00:10:07,760 --> 00:10:10,240 Speaker 1: it's kind of reflective of where the U. S. Economy 189 00:10:10,480 --> 00:10:13,480 Speaker 1: is right now with thirteen point one percent of the 190 00:10:13,480 --> 00:10:18,360 Speaker 1: population collecting unemployment benefits at the moment um. My other 191 00:10:18,400 --> 00:10:22,840 Speaker 1: takeaway was that the BLS is error, UH is equivalent 192 00:10:22,920 --> 00:10:25,760 Speaker 1: to what the unemployment rate was a few months ago 193 00:10:26,280 --> 00:10:29,079 Speaker 1: that they're they're saying possibly three percent distortion in the 194 00:10:29,200 --> 00:10:32,320 Speaker 1: unemployment rate. I think that's where we were back in February. 195 00:10:32,440 --> 00:10:36,160 Speaker 1: So it's just this is really incredible data to see. 196 00:10:36,679 --> 00:10:39,640 Speaker 1: I think you have to keep your focus on the 197 00:10:39,640 --> 00:10:43,559 Speaker 1: weeds right now, look at what companies are doing, not 198 00:10:43,600 --> 00:10:47,160 Speaker 1: what the data are saying, because it's obviously completely thrown 199 00:10:47,160 --> 00:10:49,839 Speaker 1: off by many different factors. And that's what I try 200 00:10:49,880 --> 00:10:52,000 Speaker 1: and do. I try and pay attention to what individual 201 00:10:52,080 --> 00:10:55,960 Speaker 1: companies are doing around the country on a daily basis, So, 202 00:10:56,120 --> 00:10:58,319 Speaker 1: daniel I mean, as President Trump was just saying in 203 00:10:58,360 --> 00:11:01,240 Speaker 1: the Rose Garden, he from his first spective, he believes 204 00:11:01,240 --> 00:11:03,280 Speaker 1: that the worst is over, and then you know America 205 00:11:03,360 --> 00:11:06,199 Speaker 1: is on its way back. Does a data point like this, 206 00:11:06,679 --> 00:11:09,160 Speaker 1: you know, kind of confirm that or again, are you 207 00:11:09,240 --> 00:11:11,040 Speaker 1: going to step back and maybe look at a lot 208 00:11:11,200 --> 00:11:16,160 Speaker 1: more data at the more granular level. I'm gonna keep 209 00:11:16,240 --> 00:11:20,600 Speaker 1: focusing on granularity at Bloomberg put out a great report 210 00:11:20,679 --> 00:11:23,679 Speaker 1: this week that showed that the next wave of higher 211 00:11:23,720 --> 00:11:27,000 Speaker 1: income paying jobs could be up to six million UM. 212 00:11:27,240 --> 00:11:29,920 Speaker 1: And you know, I've just been following the past few 213 00:11:30,000 --> 00:11:32,679 Speaker 1: days and whether you're talking about a K Steel or 214 00:11:32,800 --> 00:11:37,040 Speaker 1: Auto Nation or UM Stitch Fixed, which was a Unicorn 215 00:11:37,080 --> 00:11:41,359 Speaker 1: in San Francisco laying off of its workforce, Carpenter Technology 216 00:11:41,360 --> 00:11:45,400 Speaker 1: in Philadelphia of its workforce UM and another you know, 217 00:11:45,600 --> 00:11:49,360 Speaker 1: Perella Weinberg seven percent tied to deal making Lazy Boy 218 00:11:49,440 --> 00:11:53,120 Speaker 1: ten percent of its workforce, UM, Saber, the software technology 219 00:11:53,120 --> 00:11:56,120 Speaker 1: company for for for the global travel industry eight hundred 220 00:11:56,160 --> 00:11:58,920 Speaker 1: in additions to the four hundred and committed voluntary early retirements. 221 00:11:58,920 --> 00:12:03,160 Speaker 1: I'm talking about the last four day hours. Yeah, Danielle, 222 00:12:03,200 --> 00:12:06,199 Speaker 1: So if you're focused on the granularity, I'm wondering what 223 00:12:06,240 --> 00:12:09,880 Speaker 1: you're seeing on the ground in the daily and weekly 224 00:12:09,960 --> 00:12:13,320 Speaker 1: statistics that we're getting, and I'm wondering if you could 225 00:12:13,360 --> 00:12:16,920 Speaker 1: compare that with the headline figure from the Job's report. 226 00:12:16,960 --> 00:12:19,400 Speaker 1: In other words, you know, people are saying it's as hypo, 227 00:12:19,520 --> 00:12:23,080 Speaker 1: it's an error, they questioned the data. But are there 228 00:12:23,080 --> 00:12:28,720 Speaker 1: obvious discrepancies or is this just very explainable classification issues 229 00:12:28,760 --> 00:12:31,200 Speaker 1: with the p p P program and other issues that 230 00:12:31,240 --> 00:12:33,079 Speaker 1: will come to the four over time. But the bottom 231 00:12:33,120 --> 00:12:35,720 Speaker 1: line takeaway here is that the labor market isn't as 232 00:12:35,760 --> 00:12:39,760 Speaker 1: bad as many people expected. Well, I think that that 233 00:12:39,920 --> 00:12:44,400 Speaker 1: is is partially mathematical. We are going to have mathematically, 234 00:12:44,480 --> 00:12:48,640 Speaker 1: we are going to have a tremendous uh improvement in 235 00:12:48,720 --> 00:12:52,360 Speaker 1: the numbers in going forward, regardless of what area of 236 00:12:52,400 --> 00:12:54,680 Speaker 1: the economy you're you're talking about, because we have to 237 00:12:54,679 --> 00:12:57,000 Speaker 1: come off the bottom. We can't stay on the bottom 238 00:12:57,080 --> 00:13:00,760 Speaker 1: and reopen at the same time their diametor really opposed. 239 00:13:00,960 --> 00:13:03,480 Speaker 1: We've seen the same phenomena in Italy. We've seen a 240 00:13:03,640 --> 00:13:07,480 Speaker 1: tremendous decline in their unemployment rate, for example. So we're 241 00:13:07,520 --> 00:13:10,160 Speaker 1: going to have this happen. But if you look at 242 00:13:10,200 --> 00:13:14,640 Speaker 1: Google trends on unemployment insurance searches, that is completely flatlined, 243 00:13:14,720 --> 00:13:18,160 Speaker 1: meaning it's no longer improving. If you look at people's intentions. 244 00:13:18,280 --> 00:13:21,240 Speaker 1: Fresh data out of Cox Automotive this morning, people are 245 00:13:21,280 --> 00:13:24,160 Speaker 1: saying that they're going to delay a car purchase for 246 00:13:24,160 --> 00:13:27,320 Speaker 1: the first time since early March. It's it's popped right 247 00:13:27,320 --> 00:13:30,800 Speaker 1: back up to the hive. So we are reopening. But 248 00:13:30,880 --> 00:13:33,120 Speaker 1: my question is going to be, once we get past 249 00:13:33,280 --> 00:13:36,840 Speaker 1: the less bad, what is the follow through going to 250 00:13:36,880 --> 00:13:39,400 Speaker 1: look like? And I think that that is a great unknown. 251 00:13:39,800 --> 00:13:43,120 Speaker 1: But in real time data, we're starting to see weakness 252 00:13:43,160 --> 00:13:46,640 Speaker 1: re emerge despite the reopening of the of the economy. 253 00:13:46,880 --> 00:13:49,920 Speaker 1: So where do you think that's going to leave Congress, Danielle, 254 00:13:49,960 --> 00:13:53,080 Speaker 1: I mean, we do have uh, some more fiscal stimulus 255 00:13:53,160 --> 00:13:55,720 Speaker 1: kind of winding its way through Congress. Doesn't seem to 256 00:13:55,720 --> 00:13:59,000 Speaker 1: be a lot of uh. I guess, you know, impetus 257 00:13:59,000 --> 00:14:00,520 Speaker 1: to get this thing done quick. Where do you think 258 00:14:00,559 --> 00:14:02,120 Speaker 1: the next step is going to be from Congress in 259 00:14:02,200 --> 00:14:05,960 Speaker 1: terms of stimulus? Well, you know there's the irony, right, 260 00:14:06,360 --> 00:14:10,640 Speaker 1: You've got potential legislation being proposed to have a job 261 00:14:10,720 --> 00:14:13,960 Speaker 1: credit paid to pay people to come back into the 262 00:14:13,960 --> 00:14:16,880 Speaker 1: workforce because so many are collecting more with this additional 263 00:14:16,920 --> 00:14:20,040 Speaker 1: six dollars a week. Small business owners that have reopened 264 00:14:20,040 --> 00:14:22,840 Speaker 1: are like, well, I can't get my employees back by 265 00:14:22,880 --> 00:14:26,880 Speaker 1: the same token. What kind of extra incentive do we 266 00:14:27,000 --> 00:14:29,680 Speaker 1: have now to pass this legislation? Now that the president 267 00:14:29,880 --> 00:14:32,400 Speaker 1: has informed the country that it's not a V shaped 268 00:14:32,400 --> 00:14:34,960 Speaker 1: recovery but a rocket ship, So why do you go 269 00:14:35,040 --> 00:14:37,040 Speaker 1: back to the to the drawing board and say that 270 00:14:37,080 --> 00:14:39,640 Speaker 1: we need to to put more stimulus into this economy 271 00:14:39,760 --> 00:14:43,400 Speaker 1: if it's fully recovered. So going forward, what are you 272 00:14:43,400 --> 00:14:47,080 Speaker 1: watching in order to determine how much some of the 273 00:14:47,200 --> 00:14:50,480 Speaker 1: labor market is declining? I guess I'm I come up 274 00:14:50,480 --> 00:14:53,160 Speaker 1: with speechless just because this has been such a fast 275 00:14:53,240 --> 00:14:57,560 Speaker 1: moving labor market and economic recession that it's hard to 276 00:14:57,640 --> 00:15:00,520 Speaker 1: pinpoint the numbers, and the data has been all over 277 00:15:00,560 --> 00:15:02,200 Speaker 1: the place. I mean, some people could say that there 278 00:15:02,240 --> 00:15:05,360 Speaker 1: is discrepancy with the state and local claims in part 279 00:15:05,400 --> 00:15:08,480 Speaker 1: because of processing issues there, So perhaps this is a 280 00:15:08,520 --> 00:15:11,720 Speaker 1: more comprehensive number. What are you looking for to confirm 281 00:15:11,840 --> 00:15:14,920 Speaker 1: your view that, yes, the labor market is weak, and 282 00:15:15,040 --> 00:15:17,080 Speaker 1: yes there was a bit of an improvement, but it 283 00:15:17,120 --> 00:15:21,840 Speaker 1: appears to be plateau ng, so I'm actually following. I'm 284 00:15:21,880 --> 00:15:24,720 Speaker 1: trying to be as stringent as I possibly can with data. 285 00:15:24,960 --> 00:15:28,480 Speaker 1: I'm looking for permanence. And I actually checked in with Challenger, 286 00:15:28,520 --> 00:15:31,720 Speaker 1: Gray and Christmas yesterday just to confirm that what they report, 287 00:15:32,040 --> 00:15:34,800 Speaker 1: which has seems so really low compared to some of 288 00:15:34,800 --> 00:15:37,320 Speaker 1: the large numbers we're seeing, but they did confirm that 289 00:15:37,360 --> 00:15:41,360 Speaker 1: they only report permanent layoffs. So we're at one point 290 00:15:41,440 --> 00:15:44,480 Speaker 1: four million or so. Uh, since this whole thing has started, 291 00:15:44,600 --> 00:15:47,600 Speaker 1: the highest level in history is almost two million. It 292 00:15:47,760 --> 00:15:50,920 Speaker 1: looks like we'll get there by July or so. So 293 00:15:51,040 --> 00:15:54,560 Speaker 1: I'm going to continue to watch things like bankruptcy filings. Uh, 294 00:15:54,600 --> 00:15:56,680 Speaker 1: these are companies that are going away and not coming back. 295 00:15:56,680 --> 00:15:58,760 Speaker 1: I'm going to continue to watch permanent layoffs. I'm going 296 00:15:58,800 --> 00:16:02,040 Speaker 1: to stay in the weed and and continue to run 297 00:16:02,040 --> 00:16:04,640 Speaker 1: my Twitter polls and asking people what they're actually doing, 298 00:16:05,120 --> 00:16:08,280 Speaker 1: if they're if they're truly I am ready to go 299 00:16:08,320 --> 00:16:10,880 Speaker 1: back and spend like I used to spend, or if 300 00:16:10,880 --> 00:16:14,280 Speaker 1: this reticence remains. So, I think the weeds are going 301 00:16:14,320 --> 00:16:16,800 Speaker 1: to be the right place to be because it's so 302 00:16:16,960 --> 00:16:21,240 Speaker 1: difficult to follow data when everything every economics textbook in 303 00:16:21,280 --> 00:16:23,960 Speaker 1: the world tells you that the unemployment rate is the 304 00:16:24,000 --> 00:16:27,000 Speaker 1: most lagging of all economic indicators, and yet it lad 305 00:16:27,440 --> 00:16:29,120 Speaker 1: coming right out of the gate because we shut the 306 00:16:29,120 --> 00:16:32,960 Speaker 1: economy down, So the old rules don't apply if unemployment 307 00:16:33,000 --> 00:16:37,440 Speaker 1: is leading us into recession. So Danielle, as you look 308 00:16:37,480 --> 00:16:40,840 Speaker 1: at your GDP model, and you're obviously, uh, employment is 309 00:16:40,880 --> 00:16:43,440 Speaker 1: a big, big factor, and it does the data we 310 00:16:43,520 --> 00:16:47,560 Speaker 1: got today materially change kind of your outlook for how 311 00:16:47,600 --> 00:16:49,200 Speaker 1: the rest of this year and into next year is 312 00:16:49,200 --> 00:16:53,840 Speaker 1: going to unfold in terms of kind of the economic growth. Well, 313 00:16:53,880 --> 00:16:56,320 Speaker 1: I mean, at this point you could you could take 314 00:16:56,360 --> 00:16:59,760 Speaker 1: a guess. I mean, there's no methodology today because my 315 00:16:59,760 --> 00:17:01,480 Speaker 1: mess atology has been throwing out the window. But if 316 00:17:01,480 --> 00:17:03,160 Speaker 1: I was just throw spaghetti on the wall and see 317 00:17:03,160 --> 00:17:05,520 Speaker 1: if it's six, I would say maybe the second quarter 318 00:17:05,600 --> 00:17:06,840 Speaker 1: is not going to be as bad as some of 319 00:17:06,880 --> 00:17:09,320 Speaker 1: the most dire predictions out there. If you look at 320 00:17:09,720 --> 00:17:13,840 Speaker 1: the spectrum of Bloomberg consensus estimates UM. But that by 321 00:17:13,880 --> 00:17:17,080 Speaker 1: that same token again, if you're seeing reticence and if 322 00:17:17,119 --> 00:17:21,960 Speaker 1: you're seeing higher income paying job growth come down UM, 323 00:17:22,119 --> 00:17:24,919 Speaker 1: then you're going to see a more sclerotics third and 324 00:17:25,000 --> 00:17:28,280 Speaker 1: fourth quarter growth than what's being anticipated based on the 325 00:17:28,280 --> 00:17:31,639 Speaker 1: original kind of we're gonna see a U shaped recovery. 326 00:17:31,920 --> 00:17:34,000 Speaker 1: So one of the things I'm following the most closely 327 00:17:34,000 --> 00:17:36,359 Speaker 1: I suggest you do as well, is every Thursday in 328 00:17:36,359 --> 00:17:39,440 Speaker 1: the Bloomberg Consumer Comfort data, I've been following those who 329 00:17:39,440 --> 00:17:45,080 Speaker 1: make seventy dollars a year their confidence. Unlike overall, the 330 00:17:45,119 --> 00:17:48,600 Speaker 1: consumer comfort headline has yet to come back. It's continued 331 00:17:48,640 --> 00:17:51,479 Speaker 1: to pick down week after week, and that would indeed 332 00:17:51,520 --> 00:17:54,720 Speaker 1: reflect whether or not worth seeing hire income paying job 333 00:17:55,160 --> 00:17:57,960 Speaker 1: job losses. Danielle, Just to wrap this all up, I 334 00:17:58,000 --> 00:18:01,080 Speaker 1: know you can follow the consumer credit space very carefully, 335 00:18:01,119 --> 00:18:04,600 Speaker 1: and one thing that I found, uh surprisingly positive is 336 00:18:04,640 --> 00:18:07,679 Speaker 1: the lack of the increase in defaults and delinquencies that 337 00:18:07,720 --> 00:18:10,840 Speaker 1: many people had expected. And one of the reasons why 338 00:18:10,920 --> 00:18:14,240 Speaker 1: is because people said the enhancement employment benefits, the checks 339 00:18:14,280 --> 00:18:16,359 Speaker 1: that everyone got mailed that who earned a less than 340 00:18:16,400 --> 00:18:20,120 Speaker 1: eventy five tho dollars helped pat out the resources. How 341 00:18:20,200 --> 00:18:23,520 Speaker 1: much do you think that has been a cushion against 342 00:18:23,600 --> 00:18:28,440 Speaker 1: losses in consumer credit versus actual strength and rehiring that 343 00:18:28,480 --> 00:18:32,680 Speaker 1: we saw hinted at with this job's report. Oh look, 344 00:18:32,840 --> 00:18:34,800 Speaker 1: I'm going to use the President's favorite word here. I 345 00:18:34,800 --> 00:18:39,160 Speaker 1: think it's been tremendous. Um. Look, we we have seen 346 00:18:39,240 --> 00:18:43,159 Speaker 1: the We've seen an arresting in subprime auto delinquency because 347 00:18:43,200 --> 00:18:47,280 Speaker 1: again one in five people receiving an employment benefits are 348 00:18:47,320 --> 00:18:50,920 Speaker 1: making double what they made before. We've seen obviously the 349 00:18:51,920 --> 00:18:54,840 Speaker 1: forbearance on mortgages, but even though we've still got nearly 350 00:18:54,880 --> 00:18:57,480 Speaker 1: nine percent of all mortgages in forbearance, you haven't seen 351 00:18:57,520 --> 00:19:00,000 Speaker 1: that play out because they put a hold on people's 352 00:19:00,119 --> 00:19:03,320 Speaker 1: on that being reflected in people's credit reports. We haven't seen. 353 00:19:03,720 --> 00:19:06,359 Speaker 1: We haven't seen evictions go up. We haven't seen you know, 354 00:19:06,520 --> 00:19:09,880 Speaker 1: renters are not in major distress. Again, this stimulus has 355 00:19:09,880 --> 00:19:13,720 Speaker 1: been extremely powerful for the lowest income earners in America, 356 00:19:14,320 --> 00:19:16,360 Speaker 1: more than two thirds of whom are bringing in more 357 00:19:16,400 --> 00:19:19,200 Speaker 1: than they did prior to this. Daniel thanks so much 358 00:19:19,200 --> 00:19:21,320 Speaker 1: for joining us. I really appreciate your thoughts and comments. 359 00:19:21,400 --> 00:19:25,280 Speaker 1: Danielle di Martino Booth CEO and chief strategist for Quill Intelligence. 360 00:19:29,000 --> 00:19:31,440 Speaker 1: Markets are ripping on the back of that job's number. 361 00:19:31,480 --> 00:19:34,399 Speaker 1: Let's see where the real action is. We welcome Bluebrick 362 00:19:34,440 --> 00:19:37,280 Speaker 1: Stocks editor Dave Wilson as well as Matt Bosler. He's 363 00:19:37,280 --> 00:19:39,480 Speaker 1: a Bloomberg fed reporter. We'll get his thoughts on these 364 00:19:39,560 --> 00:19:43,600 Speaker 1: jobs and numbers. Dave, what are you looking at right here? Really? 365 00:19:43,920 --> 00:19:46,800 Speaker 1: I mean, if you want to understand what's going on 366 00:19:46,880 --> 00:19:50,280 Speaker 1: today here, here's one way you can frame it. Best 367 00:19:50,359 --> 00:19:53,200 Speaker 1: performing of the eleven main industry groups in the SMP 368 00:19:53,280 --> 00:19:55,800 Speaker 1: five hundred by far is energy. Of course, you're talking 369 00:19:55,800 --> 00:19:59,600 Speaker 1: about an economically sensitive sector there, and so you know, 370 00:19:59,760 --> 00:20:02,040 Speaker 1: if oil prices are going up, you figured it's not 371 00:20:02,160 --> 00:20:07,200 Speaker 1: great for the likes of airlines and cruise lines and 372 00:20:07,280 --> 00:20:11,439 Speaker 1: you know other companies that you know that they use fuels, 373 00:20:11,480 --> 00:20:14,760 Speaker 1: they are gonna be facing higher costs down the line. 374 00:20:14,840 --> 00:20:18,320 Speaker 1: Forget that. I mean you look, you see Americans shares 375 00:20:18,400 --> 00:20:21,960 Speaker 1: up twenty two and a half percent after rising forty 376 00:20:22,000 --> 00:20:26,600 Speaker 1: one percent yesterday. You see Carnival in Norwegian among the 377 00:20:26,640 --> 00:20:29,480 Speaker 1: best performers, Royal Caribbean too, So those are your three 378 00:20:29,800 --> 00:20:32,399 Speaker 1: cruise line stocks in the s and P five up 379 00:20:32,440 --> 00:20:35,560 Speaker 1: at least thirteen and a half percent. So you know, 380 00:20:35,760 --> 00:20:40,680 Speaker 1: this is really, you know, a market where given what 381 00:20:40,720 --> 00:20:43,359 Speaker 1: we saw on the jobs front, people are figuring the 382 00:20:43,359 --> 00:20:46,680 Speaker 1: economies coming around that people are gonna want to spend, 383 00:20:46,840 --> 00:20:50,320 Speaker 1: that they're gonna take the plane trips and the cruises 384 00:20:50,400 --> 00:20:53,480 Speaker 1: down the line that they have been putting off because 385 00:20:53,480 --> 00:20:56,840 Speaker 1: of the coronavirus. So put it all together, I mean, 386 00:20:56,920 --> 00:21:00,800 Speaker 1: it's it's a market that's showing real straight too. And 387 00:21:00,880 --> 00:21:04,119 Speaker 1: let's just give some perspective on what's driving this. The 388 00:21:04,160 --> 00:21:07,600 Speaker 1: expectation was for seven and a half million jobs to 389 00:21:07,640 --> 00:21:11,200 Speaker 1: be lost in this May non farm payrolls report. Instead 390 00:21:11,600 --> 00:21:15,320 Speaker 1: there was a two point five million jobs gain. And 391 00:21:15,359 --> 00:21:18,639 Speaker 1: I want to dig into what we actually were seeing. Matt, 392 00:21:18,640 --> 00:21:21,280 Speaker 1: come on in here. Some people saying, how did Wall 393 00:21:21,320 --> 00:21:25,280 Speaker 1: Street economists get this so wrong? Based on the anecdotal 394 00:21:25,320 --> 00:21:28,399 Speaker 1: evidence coming out of states, coming out of federal official 395 00:21:28,480 --> 00:21:33,000 Speaker 1: data sources. Yeah, so there are definitely some important caveats 396 00:21:33,000 --> 00:21:35,320 Speaker 1: to note with this report, some of which the BLS 397 00:21:35,400 --> 00:21:37,680 Speaker 1: actually did note in the text of the release they 398 00:21:37,720 --> 00:21:40,880 Speaker 1: put out. I think the biggest one is that, um, 399 00:21:40,920 --> 00:21:45,840 Speaker 1: there might have been a classification issue wherein um, you know, uh, 400 00:21:46,000 --> 00:21:49,480 Speaker 1: some people who were should have been classified as unemployed 401 00:21:49,480 --> 00:21:53,520 Speaker 1: and contemporary layoff we're actually classified as employed but absent 402 00:21:53,720 --> 00:21:57,240 Speaker 1: from work for various reasons. And so the BLS says 403 00:21:57,280 --> 00:21:59,480 Speaker 1: that the unemployment rate actually would have been about three 404 00:21:59,520 --> 00:22:04,680 Speaker 1: points higher than reported if those people have been classified correctly, 405 00:22:04,720 --> 00:22:08,440 Speaker 1: and so that would have, you know, manifested in an 406 00:22:08,520 --> 00:22:11,679 Speaker 1: increase in the unemployment rate in May to something like 407 00:22:11,760 --> 00:22:16,119 Speaker 1: sixteen point three percent. So that's um, you know, definitely 408 00:22:16,160 --> 00:22:21,000 Speaker 1: an increase, but still well below the media and estimate 409 00:22:21,040 --> 00:22:24,200 Speaker 1: in our survey. So um, you know, definitely a better 410 00:22:24,240 --> 00:22:27,520 Speaker 1: than expected report none the less, although maybe not quite 411 00:22:27,520 --> 00:22:31,119 Speaker 1: as good as as that headline number indicates. Matt, how 412 00:22:31,160 --> 00:22:32,760 Speaker 1: do you think the US Federal Reserve is gonna look 413 00:22:32,760 --> 00:22:35,000 Speaker 1: at this number? So? I think the said for the 414 00:22:35,080 --> 00:22:38,359 Speaker 1: moment is pretty resigned to um, you know, a long 415 00:22:38,480 --> 00:22:41,080 Speaker 1: and slow recovery here, and so this doesn't really bring 416 00:22:41,520 --> 00:22:45,639 Speaker 1: interest rates into play obviously. But one interesting thing to 417 00:22:45,680 --> 00:22:47,560 Speaker 1: note about the Fed is that they're actually going to 418 00:22:47,560 --> 00:22:51,600 Speaker 1: be putting out presumably forecast for the unemployment rate for 419 00:22:51,640 --> 00:22:55,600 Speaker 1: the first time since before this pandemic began next Wednesday 420 00:22:55,640 --> 00:22:59,200 Speaker 1: when they announced their um policy decisions. So we're going 421 00:22:59,240 --> 00:23:01,159 Speaker 1: to get the first look at how they're kind of 422 00:23:01,200 --> 00:23:04,840 Speaker 1: looking at the labor market situation going forward. So far, 423 00:23:04,920 --> 00:23:08,600 Speaker 1: in public comments, they've been pretty vague and talking about 424 00:23:08,640 --> 00:23:10,800 Speaker 1: just all of the uncertainty, So it'll be interesting to 425 00:23:10,800 --> 00:23:14,160 Speaker 1: see what numbers they actually finally do put down to paper. Here, 426 00:23:14,640 --> 00:23:16,439 Speaker 1: all I can say, Matt, is that somebody cutting the 427 00:23:16,480 --> 00:23:19,959 Speaker 1: lawn behind you. That's me, that's you. But it's actually 428 00:23:20,000 --> 00:23:23,240 Speaker 1: it actually adds to the whole moment of time, people 429 00:23:23,280 --> 00:23:27,560 Speaker 1: getting back to work and getting things back up into order. 430 00:23:27,720 --> 00:23:31,240 Speaker 1: I'm wondering, you know, just from your perspective, Dave, whether 431 00:23:31,359 --> 00:23:34,439 Speaker 1: what we saw out of this job's report confirms the 432 00:23:34,520 --> 00:23:37,920 Speaker 1: optimism that the market has been expressing. In other words, 433 00:23:37,920 --> 00:23:41,560 Speaker 1: we're seeing the narrative shift from markets are divorced from 434 00:23:41,600 --> 00:23:45,399 Speaker 1: reality to markets got it right and economists got it wrong. 435 00:23:45,680 --> 00:23:49,199 Speaker 1: Is that correct? Well, I mean you'd be hesitant to 436 00:23:49,320 --> 00:23:51,480 Speaker 1: do it off just you know, a couple of sets 437 00:23:51,600 --> 00:23:55,840 Speaker 1: of data here. I mean that said, you have to 438 00:23:55,880 --> 00:23:59,399 Speaker 1: remember that the stock market is always forward looking. I 439 00:23:59,440 --> 00:24:02,200 Speaker 1: mean that's the idea. You can't buy last quarters profits, 440 00:24:02,200 --> 00:24:05,000 Speaker 1: you can only buy next quarters and the quarter after that. 441 00:24:05,240 --> 00:24:09,000 Speaker 1: And the focus has been one uh in terms of 442 00:24:09,119 --> 00:24:13,320 Speaker 1: perhaps when people are expecting earnis to rebound. Certainly shows 443 00:24:13,400 --> 00:24:17,439 Speaker 1: up in the estimates for SMP five hundred profit that 444 00:24:17,720 --> 00:24:20,800 Speaker 1: we've compiled from analysts. You know, you don't start to 445 00:24:20,840 --> 00:24:25,399 Speaker 1: see renewed growth until next year. That said, uh, people 446 00:24:25,400 --> 00:24:29,040 Speaker 1: are anticipating that you're going to get some kind of 447 00:24:29,040 --> 00:24:31,400 Speaker 1: a recovery in the second half. And you know, if 448 00:24:31,440 --> 00:24:34,760 Speaker 1: maybe things aren't so bad this quarter and the recovery 449 00:24:35,080 --> 00:24:39,239 Speaker 1: comes sooner or stronger than people are anticipating, you know, 450 00:24:39,680 --> 00:24:42,159 Speaker 1: you put it all together. In the very least, you 451 00:24:42,200 --> 00:24:45,119 Speaker 1: can understand why investors have taken the position they have, 452 00:24:45,400 --> 00:24:47,640 Speaker 1: even in the face of all the economic data they 453 00:24:47,680 --> 00:24:50,760 Speaker 1: had seen before the Job's report. Hey, Matt, do you 454 00:24:50,800 --> 00:24:55,080 Speaker 1: think this job's number brings the V shaped recovery discussion 455 00:24:55,119 --> 00:24:59,240 Speaker 1: back on the table. You know, that's a really interesting question. 456 00:24:59,359 --> 00:25:00,920 Speaker 1: One of the things I have been thinking about this 457 00:25:00,960 --> 00:25:03,280 Speaker 1: morning is one thing we did see was that the 458 00:25:03,359 --> 00:25:06,800 Speaker 1: unemployment rate for white Americans fell, but the unemployment rate 459 00:25:06,840 --> 00:25:09,640 Speaker 1: for Black Americans actually still rose, and so it's kind 460 00:25:09,640 --> 00:25:12,040 Speaker 1: of widening that gap. And you know, one of the 461 00:25:12,080 --> 00:25:14,000 Speaker 1: things we've been talking about in terms of the V 462 00:25:14,119 --> 00:25:16,680 Speaker 1: shape recovery and whether that's going to be possible is 463 00:25:17,080 --> 00:25:20,520 Speaker 1: the response from Congress here, and so so far it's 464 00:25:20,600 --> 00:25:22,920 Speaker 1: it's kind of looked like Congress is really dragging their 465 00:25:22,960 --> 00:25:25,879 Speaker 1: feet on the next um phase of some sort of 466 00:25:25,880 --> 00:25:30,040 Speaker 1: potential stimulus or income support and I just wonder if 467 00:25:30,119 --> 00:25:32,440 Speaker 1: you know, given all the unrests were seeing, if those 468 00:25:32,520 --> 00:25:35,520 Speaker 1: kinds of numbers, those disparities that are being reinforced in 469 00:25:35,520 --> 00:25:38,360 Speaker 1: this report, even though it was better than expected, might 470 00:25:38,400 --> 00:25:42,000 Speaker 1: provide some you know, additional impetus for that kind of 471 00:25:42,040 --> 00:25:45,080 Speaker 1: congressional response. And if that's the case, maybe it does 472 00:25:45,640 --> 00:25:49,439 Speaker 1: perhaps raise the odds of quicker snap back. But I 473 00:25:49,480 --> 00:25:52,840 Speaker 1: think absent that sort of response from Congress, we're still 474 00:25:52,840 --> 00:25:55,639 Speaker 1: looking at a situation where, um, it's going to be 475 00:25:55,680 --> 00:25:58,400 Speaker 1: hard to bring these numbers down quickly because even though 476 00:25:58,440 --> 00:26:02,600 Speaker 1: you've got people reopening, people going back to work, there's 477 00:26:02,600 --> 00:26:06,400 Speaker 1: still that crucial question of consumer psychology, um, and how 478 00:26:06,440 --> 00:26:08,439 Speaker 1: long that's going to take a toll on some of 479 00:26:08,440 --> 00:26:11,600 Speaker 1: these sectors like leisure and hospitality, where people you know, 480 00:26:11,680 --> 00:26:14,639 Speaker 1: may not be willing to go out and and spend 481 00:26:14,640 --> 00:26:17,760 Speaker 1: at restaurants so quickly. Given these lingering concerns we're going 482 00:26:17,800 --> 00:26:20,800 Speaker 1: to be having about the virus going forward. We're speaking 483 00:26:20,800 --> 00:26:22,560 Speaker 1: with Matt Bosler, who covers the FED for us here 484 00:26:22,560 --> 00:26:25,320 Speaker 1: at Bloomberg, as well as Dave Wilson, Bloomberg Stocks editor, 485 00:26:25,359 --> 00:26:28,320 Speaker 1: and as we speak, markets ripping higher on the heels 486 00:26:28,359 --> 00:26:32,000 Speaker 1: of that way better than expected employment report. The expectation 487 00:26:32,040 --> 00:26:34,800 Speaker 1: we're seven and a half million jobs lost. Instead there 488 00:26:34,840 --> 00:26:37,320 Speaker 1: were two and a half million jobs that gained. Although 489 00:26:37,359 --> 00:26:42,760 Speaker 1: we are grappling to understand the classifications underneath this. Bank 490 00:26:42,800 --> 00:26:45,600 Speaker 1: stocks soaring or looking at the SMP up two point 491 00:26:45,640 --> 00:26:49,080 Speaker 1: two percent three thousand one and eighty one points means 492 00:26:49,119 --> 00:26:52,280 Speaker 1: while the Nasdaq is up by one point six percent. Again, 493 00:26:52,280 --> 00:26:55,800 Speaker 1: that rotation is into the cyclicals, not necessarily the quote 494 00:26:55,800 --> 00:26:58,960 Speaker 1: havens which have been big tech. Matt, I want to 495 00:26:58,960 --> 00:27:01,720 Speaker 1: dig a little bit deeper here in terms of how 496 00:27:01,800 --> 00:27:06,560 Speaker 1: long lasting this optimism can possibly be in the reclassification 497 00:27:06,640 --> 00:27:10,080 Speaker 1: of some of the employers who allowed employees to stay 498 00:27:10,080 --> 00:27:13,439 Speaker 1: on the payroll because of the p p P loans, 499 00:27:13,720 --> 00:27:16,520 Speaker 1: how long do we have for that? How much can 500 00:27:16,560 --> 00:27:19,639 Speaker 1: we really depend on that to be the reality for 501 00:27:19,680 --> 00:27:25,440 Speaker 1: the longer term and cushion any further job cuts going forward. Yes, 502 00:27:25,600 --> 00:27:27,959 Speaker 1: so we have a story out on the terminal this 503 00:27:28,040 --> 00:27:32,280 Speaker 1: morning about um, you know, looking at employment and uh 504 00:27:32,320 --> 00:27:34,960 Speaker 1: sort of the bailout package that was passed in March. 505 00:27:35,040 --> 00:27:37,360 Speaker 1: It's important to keep in mind that, you know, those 506 00:27:37,400 --> 00:27:41,119 Speaker 1: p p P loans to cover payrolls were really only 507 00:27:41,160 --> 00:27:45,600 Speaker 1: for small businesses, which account for forty some percent of uh, 508 00:27:45,600 --> 00:27:49,119 Speaker 1: you know, overall employment in this country, whereas um, you know, 509 00:27:49,200 --> 00:27:52,560 Speaker 1: more than half of employment is in large companies that 510 00:27:52,600 --> 00:27:56,600 Speaker 1: did not receive any sort of grants or payroll support 511 00:27:56,960 --> 00:27:59,320 Speaker 1: to keep employees on the payroll. And I think what 512 00:27:59,400 --> 00:28:02,320 Speaker 1: we're seeing a lot of those larger companies is that 513 00:28:02,359 --> 00:28:05,280 Speaker 1: they are announcing these big layoffs. And even some of 514 00:28:05,320 --> 00:28:09,520 Speaker 1: the companies that took money directly from treasury, like the airlines, 515 00:28:09,680 --> 00:28:13,840 Speaker 1: with employment strings attached, those strings are only attached until September, 516 00:28:14,280 --> 00:28:16,359 Speaker 1: and then some of those have announced that they're planning 517 00:28:16,359 --> 00:28:19,360 Speaker 1: to do layoffs after that as well. And so um, 518 00:28:19,359 --> 00:28:22,159 Speaker 1: this is kind of a tricky situation where we we 519 00:28:22,240 --> 00:28:25,719 Speaker 1: may have uh, you know, some some issues with cascading 520 00:28:25,800 --> 00:28:29,720 Speaker 1: job losses that aren't necessarily showing up right away in 521 00:28:29,760 --> 00:28:32,480 Speaker 1: these numbers, and we still, unfortunately have to wait for 522 00:28:32,520 --> 00:28:35,560 Speaker 1: those to come over the coming months. And so again, 523 00:28:35,640 --> 00:28:39,360 Speaker 1: that really just underscores, um the need for some sort 524 00:28:39,360 --> 00:28:43,800 Speaker 1: of game plan here and coordination to to prevent that 525 00:28:44,000 --> 00:28:48,200 Speaker 1: from happening. And so um, the other thing that people 526 00:28:48,240 --> 00:28:51,120 Speaker 1: are looking at is these weekly jobless claims data that 527 00:28:51,160 --> 00:28:54,560 Speaker 1: we're getting. We saw yesterday and the latest report that 528 00:28:55,000 --> 00:28:58,560 Speaker 1: you know, another one point nine million people filed for 529 00:28:58,720 --> 00:29:01,760 Speaker 1: initial claim aimes even this far into this at the 530 00:29:01,840 --> 00:29:05,440 Speaker 1: end of May, and so those numbers are just so huge, um, 531 00:29:06,000 --> 00:29:08,440 Speaker 1: and they don't look like they're really going down anytime soon. 532 00:29:08,480 --> 00:29:12,480 Speaker 1: That's going to keep overall unemployment high ostensibly for the 533 00:29:12,520 --> 00:29:15,880 Speaker 1: foreseeable future. Here, Dave Wilson, you know, as I think, 534 00:29:15,920 --> 00:29:18,040 Speaker 1: as I look at this market, another two percent move 535 00:29:18,160 --> 00:29:20,520 Speaker 1: higher here, and that's in the face of you know, 536 00:29:20,760 --> 00:29:24,880 Speaker 1: really ugly earnings revisions on the downside, here are we 537 00:29:24,920 --> 00:29:27,760 Speaker 1: starting to get some evaluation concerns coming off a Wall 538 00:29:27,760 --> 00:29:31,600 Speaker 1: Street or strategist saying, boy, this market from evaluation standpoint 539 00:29:32,160 --> 00:29:35,640 Speaker 1: is getting ahead of itself. Well, there are certainly a 540 00:29:35,760 --> 00:29:38,840 Speaker 1: number of strategies, you know, looking at things like uh 541 00:29:39,000 --> 00:29:42,400 Speaker 1: forward price earnings ratios where you're you're you're looking at 542 00:29:42,480 --> 00:29:47,400 Speaker 1: projected profit rather than historical learnings and saying, look, I 543 00:29:47,400 --> 00:29:50,000 Speaker 1: mean you're you're back to where you were, you know, 544 00:29:50,080 --> 00:29:53,760 Speaker 1: near the highs and two thousands. So that becomes an 545 00:29:53,760 --> 00:29:59,000 Speaker 1: issue for some investors anyway, I mean, others kind of justified, 546 00:29:59,360 --> 00:30:03,160 Speaker 1: you know, looking at the potential for a rebound here 547 00:30:03,560 --> 00:30:06,000 Speaker 1: you know, in earnings that would kind of bring down 548 00:30:07,000 --> 00:30:11,000 Speaker 1: the ratio, and that's you know, a potential going forward. 549 00:30:11,040 --> 00:30:14,040 Speaker 1: I mean, analysts estimates have kind of figured in the 550 00:30:14,080 --> 00:30:16,880 Speaker 1: worst at this point, and if what we're seeing on 551 00:30:16,920 --> 00:30:20,160 Speaker 1: the economic front kind of carries over in terms of 552 00:30:20,520 --> 00:30:24,320 Speaker 1: companies results, then maybe they have to go back and 553 00:30:24,400 --> 00:30:27,160 Speaker 1: kind of redo the numbers there in terms of what 554 00:30:27,200 --> 00:30:30,200 Speaker 1: they're anticipating on earnings. So I me, you know, the 555 00:30:30,240 --> 00:30:33,600 Speaker 1: concerns they're sure there are, uh, is it possible that 556 00:30:33,640 --> 00:30:37,640 Speaker 1: those concerns maybe you know, mitigated by what we're seeing 557 00:30:37,680 --> 00:30:40,320 Speaker 1: on the economic front. I mean, that's looking like a 558 00:30:40,360 --> 00:30:43,640 Speaker 1: possibility as well. Let's talk about the bank stocks. They're 559 00:30:43,680 --> 00:30:46,840 Speaker 1: ripping higher. I'm looking at S and P sub index 560 00:30:47,200 --> 00:30:50,240 Speaker 1: of financials. There are more than four percent today and 561 00:30:50,320 --> 00:30:54,040 Speaker 1: it's the biggest one day gain, uh since April, since 562 00:30:54,080 --> 00:30:56,440 Speaker 1: early April. I'm trying to understand if this is just 563 00:30:56,520 --> 00:30:58,680 Speaker 1: a yield curve bat with the two tens spread at 564 00:30:58,680 --> 00:31:01,000 Speaker 1: the highest since two thousand and eight teen, seeing a 565 00:31:01,040 --> 00:31:03,680 Speaker 1: similar kind of widening in the five thirties spread, Is 566 00:31:03,720 --> 00:31:06,760 Speaker 1: that really what this is? Or is it also optimism 567 00:31:06,800 --> 00:31:10,160 Speaker 1: that perhaps there will not be necessarily consumer defaults delinquencies 568 00:31:10,160 --> 00:31:12,920 Speaker 1: and business will actually pick up. One kind of gets 569 00:31:12,920 --> 00:31:14,840 Speaker 1: you to the other to some extent. I mean, if 570 00:31:14,840 --> 00:31:17,240 Speaker 1: you think about it, you know, the idea that what 571 00:31:17,320 --> 00:31:20,200 Speaker 1: we're seeing in the bond market is a reflection of 572 00:31:20,200 --> 00:31:23,240 Speaker 1: what the jobs numbers are suggesting about the economy, and 573 00:31:23,280 --> 00:31:26,040 Speaker 1: if indeed that holds up and this is not just 574 00:31:26,160 --> 00:31:30,120 Speaker 1: some one month wonder, then you know, consumers may well 575 00:31:30,160 --> 00:31:32,400 Speaker 1: be in a better position than they were before in 576 00:31:32,480 --> 00:31:35,280 Speaker 1: terms of being able to keep up payments, in terms 577 00:31:35,320 --> 00:31:37,760 Speaker 1: of being willing to spend more. And as you know, 578 00:31:37,800 --> 00:31:41,920 Speaker 1: all kinds of businesses open up as a results of 579 00:31:41,960 --> 00:31:44,800 Speaker 1: the easing of the coronavirus pandemic. I mean there's a 580 00:31:44,840 --> 00:31:47,560 Speaker 1: potential for more business down the line coming out of that. 581 00:31:47,840 --> 00:31:50,920 Speaker 1: So you know, it's kind of a both and as 582 00:31:50,960 --> 00:31:53,640 Speaker 1: opposed to when either or in terms of you know, 583 00:31:53,720 --> 00:31:57,360 Speaker 1: what's being reflected in the financial stocks at this point, 584 00:31:58,080 --> 00:32:00,320 Speaker 1: and Mattic just wondering, you know, it's again it's better 585 00:32:00,320 --> 00:32:02,400 Speaker 1: than expected job number. We're gonna have President Trump and 586 00:32:02,520 --> 00:32:05,120 Speaker 1: moments doing a victory lap by well deserved victory lap 587 00:32:05,200 --> 00:32:08,520 Speaker 1: for this number here, followed up by Larry Cuddlo with 588 00:32:08,600 --> 00:32:11,520 Speaker 1: John Farrow, What does that mean for the folks in Congress, 589 00:32:11,560 --> 00:32:14,680 Speaker 1: is that reduced the odds of getting this next round 590 00:32:14,800 --> 00:32:18,000 Speaker 1: of stimulus, even though the needs still may very well 591 00:32:18,000 --> 00:32:20,440 Speaker 1: be there. As you listen to Governor Cuomo talk about 592 00:32:20,440 --> 00:32:23,000 Speaker 1: the need for stimulus at the state and local level, 593 00:32:23,880 --> 00:32:26,760 Speaker 1: you know, this is really just a multi trillion dollar question, 594 00:32:26,800 --> 00:32:29,160 Speaker 1: I think, right because, um, like you said, you know, 595 00:32:29,200 --> 00:32:31,720 Speaker 1: there's some cross currents here, we're getting some mixed signals, 596 00:32:31,760 --> 00:32:33,720 Speaker 1: and I think one of the interesting things about what 597 00:32:33,760 --> 00:32:37,000 Speaker 1: we're seeing in the economy and the stock market is that, um, 598 00:32:37,040 --> 00:32:39,200 Speaker 1: you know, we've kind of been really holding out hope 599 00:32:39,240 --> 00:32:42,160 Speaker 1: since the beginning of this pandemic that um, you know, 600 00:32:42,280 --> 00:32:44,840 Speaker 1: things would turn out okay and maybe better than expected. 601 00:32:44,840 --> 00:32:48,120 Speaker 1: There's so much uncertainty right now, um, and we don't 602 00:32:48,160 --> 00:32:50,600 Speaker 1: really know much about you know, the nature of the 603 00:32:50,680 --> 00:32:53,800 Speaker 1: virus itself. Um, And so that kind of you know, 604 00:32:54,000 --> 00:32:56,440 Speaker 1: leaves us to be able to hold out for hope. 605 00:32:56,480 --> 00:32:59,240 Speaker 1: You know. It's I just remember back to mid March 606 00:32:59,320 --> 00:33:02,520 Speaker 1: when initially the lockdowns were going to be two weeks, 607 00:33:02,520 --> 00:33:06,240 Speaker 1: and then um, they were extended another two weeks after that, 608 00:33:06,400 --> 00:33:09,160 Speaker 1: and we just kind of kept extending things every two 609 00:33:09,160 --> 00:33:11,600 Speaker 1: weeks and now We're in a situation where a lot 610 00:33:11,680 --> 00:33:14,240 Speaker 1: of us are, you know, maybe going back to eat 611 00:33:14,280 --> 00:33:17,040 Speaker 1: at a restaurant for the first time in several months, 612 00:33:17,040 --> 00:33:18,840 Speaker 1: and so that makes us feel good and you know, 613 00:33:19,000 --> 00:33:22,840 Speaker 1: gives us some optimism. But um, we we definitely have 614 00:33:22,960 --> 00:33:27,560 Speaker 1: some key milestones or flag posts I think coming up here. Um, 615 00:33:27,600 --> 00:33:30,480 Speaker 1: the the next big one for the economy is um 616 00:33:30,640 --> 00:33:34,960 Speaker 1: these extended or expanded unemployment insurance benefits that are set 617 00:33:34,960 --> 00:33:37,120 Speaker 1: to expire at the end of July. So that's going 618 00:33:37,200 --> 00:33:41,280 Speaker 1: to be a big um, you know, potential flashpoint for 619 00:33:41,280 --> 00:33:43,600 Speaker 1: for Congress to debate and keep an eye on. That 620 00:33:43,640 --> 00:33:46,840 Speaker 1: will determine how things go going forward. And Matt, thanks 621 00:33:46,840 --> 00:33:49,000 Speaker 1: so much for joining us. We really appreciate your thoughts. 622 00:33:49,000 --> 00:33:53,240 Speaker 1: Matt Bostler, Bloomberg Fed reporter, also Bloomberg Stocks editor Dave Wilson, 623 00:33:53,240 --> 00:33:55,960 Speaker 1: thanks so much for your color here on this very 624 00:33:56,000 --> 00:34:00,720 Speaker 1: strong job to report and very strong equity market. Thanks 625 00:34:00,720 --> 00:34:03,040 Speaker 1: for listening to the Bloomberg pen L podcast. You can 626 00:34:03,080 --> 00:34:05,880 Speaker 1: subscribe and listen to interviews at Apple Podcasts or whatever 627 00:34:05,920 --> 00:34:08,960 Speaker 1: podcast platform you prefer. I'm Paul Sweeney, I'm on Twitter 628 00:34:09,000 --> 00:34:11,600 Speaker 1: at p t Sweeney. I'm Lisa Bramwoyits. I'm on Twitter 629 00:34:11,680 --> 00:34:14,680 Speaker 1: at Lisa Bramwoits one before the podcast, you can always 630 00:34:14,680 --> 00:34:16,760 Speaker 1: catch us worldwide. I'm Bloomberg Radio