1 00:00:04,519 --> 00:00:07,920 Speaker 1: This is Bloomberg surveillance. I think the best measure of 2 00:00:07,920 --> 00:00:09,960 Speaker 1: how the economy is performing, you know, gives us the 3 00:00:10,000 --> 00:00:12,200 Speaker 1: best sense of what's going is just jobs, because we 4 00:00:12,240 --> 00:00:14,920 Speaker 1: can measure jobs. If wage growth continues to pick up, 5 00:00:14,960 --> 00:00:16,840 Speaker 1: as I expect it will, the FEN is going to 6 00:00:16,920 --> 00:00:20,040 Speaker 1: be increasingly uncomfortable having rates close to zero. From this 7 00:00:20,160 --> 00:00:23,200 Speaker 1: point forward, all the economics can tell you that once 8 00:00:23,239 --> 00:00:27,080 Speaker 1: the unemployment rate dips down below five that wages should 9 00:00:27,120 --> 00:00:32,000 Speaker 1: pick up. Bloomberg Surveillance your link to the world of economics, finance, 10 00:00:32,080 --> 00:00:35,880 Speaker 1: and investment on Bloomberg Radio. Good morning everyone, Michael McKee 11 00:00:35,880 --> 00:00:38,400 Speaker 1: and Tom Keane A job to day from New York City. 12 00:00:38,440 --> 00:00:41,440 Speaker 1: Welcome all of you, coast to coast, Bloomberg twelve hundred, 13 00:00:41,440 --> 00:00:46,479 Speaker 1: Boston FM, Washington and Baltimore. Bloomberg elevens were going New 14 00:00:46,560 --> 00:00:49,360 Speaker 1: York in early morning. San Francisco nine six, the Bay 15 00:00:49,400 --> 00:00:54,320 Speaker 1: Area a serious The next seme Channel one as well. 16 00:00:54,960 --> 00:00:59,480 Speaker 1: The Warriors. They did it. They walked out Lebron and company. 17 00:00:59,720 --> 00:01:02,120 Speaker 1: Um even though Steph Curry didn't have a great game, 18 00:01:03,320 --> 00:01:05,440 Speaker 1: but it was certainly a big step. Now it's time, 19 00:01:07,520 --> 00:01:11,840 Speaker 1: yes Saturday, we'll see what they do in saying, Jose, anyways, 20 00:01:11,880 --> 00:01:14,560 Speaker 1: jobs coverage here in the next thirty nine minutes, let's 21 00:01:14,600 --> 00:01:17,200 Speaker 1: make it. And uh, we have a wonderful schedule. We 22 00:01:17,319 --> 00:01:20,880 Speaker 1: just had Alan Krueger on from Princeton with a broader perspective. 23 00:01:20,880 --> 00:01:24,240 Speaker 1: Bill Gross will join us, not only on his concerns 24 00:01:24,440 --> 00:01:28,080 Speaker 1: about Washington the Fed, and of course Bill Gross on 25 00:01:28,160 --> 00:01:32,760 Speaker 1: what fixed income instruments will do, and sandwiched Michael mckeeon 26 00:01:32,800 --> 00:01:37,560 Speaker 1: between Jim Glassman JP, well we would do that. Bloomberg 27 00:01:37,600 --> 00:01:41,840 Speaker 1: Surveillance this morning brought of by cone Resnick Accounting, Tax Advisory, 28 00:01:41,880 --> 00:01:45,880 Speaker 1: look Ahead, Gain Insight, Imagine More. The professionals at Cone 29 00:01:45,920 --> 00:01:50,080 Speaker 1: Resnick can help your business breakthrough, find out more and 30 00:01:50,200 --> 00:01:53,680 Speaker 1: cone Resnick dot Com Jim Blastman with us to get 31 00:01:53,720 --> 00:01:56,720 Speaker 1: us started. What is the single thing you will observe 32 00:01:57,000 --> 00:01:59,960 Speaker 1: at eight thirty? What I find it's great about your work, Jim, 33 00:02:00,040 --> 00:02:03,000 Speaker 1: is every month it's something different. Yeah, But you know, now, 34 00:02:03,160 --> 00:02:06,720 Speaker 1: the interesting things in the job market, reporter, the signals 35 00:02:06,720 --> 00:02:08,720 Speaker 1: that people are coming back into the job market. That's 36 00:02:08,720 --> 00:02:10,920 Speaker 1: a harder thing to see right up front. But you 37 00:02:10,919 --> 00:02:12,960 Speaker 1: know the twenty year rolls, the thirty year rolls, the 38 00:02:12,960 --> 00:02:16,000 Speaker 1: forty year rols, we're seeing as the job market improves, 39 00:02:16,440 --> 00:02:20,520 Speaker 1: the people who uh gave up during the recession, they're 40 00:02:20,560 --> 00:02:23,440 Speaker 1: slowly coming back in. So now the signs of improvement 41 00:02:23,480 --> 00:02:25,800 Speaker 1: are beginning to be a little more a little less visits. 42 00:02:25,880 --> 00:02:28,359 Speaker 1: So do we see that in the labor participation rate 43 00:02:28,400 --> 00:02:30,680 Speaker 1: which went up one, two, three, four or five six 44 00:02:30,760 --> 00:02:33,640 Speaker 1: months and then a pause last month. Yeah. The problem 45 00:02:33,720 --> 00:02:35,560 Speaker 1: is I'm really I think you need to focus more 46 00:02:35,560 --> 00:02:37,919 Speaker 1: about on the people who are prime working age because 47 00:02:38,080 --> 00:02:40,360 Speaker 1: there is a demographic thing going on and it confuses. 48 00:02:40,680 --> 00:02:43,720 Speaker 1: So if people are dropping out and retiring, you'll have 49 00:02:43,720 --> 00:02:46,480 Speaker 1: the labor for participation rate held down. But when you 50 00:02:46,520 --> 00:02:50,040 Speaker 1: have younger people who were cut out coming back in, 51 00:02:50,320 --> 00:02:52,040 Speaker 1: that's helping to boost it. So that's part of it. 52 00:02:52,480 --> 00:02:54,360 Speaker 1: But you know, you need a little more granularity. You 53 00:02:54,360 --> 00:02:56,120 Speaker 1: need to look more closely at what's going on with 54 00:02:56,120 --> 00:02:59,560 Speaker 1: each of the population groups. So that's but you know, 55 00:02:59,639 --> 00:03:02,919 Speaker 1: we've seen enough on the job situation between jolts, a 56 00:03:03,080 --> 00:03:06,800 Speaker 1: DP and jobless claims. The picture looks pretty steady, so 57 00:03:06,960 --> 00:03:08,480 Speaker 1: I don't think and we do have a strike, the 58 00:03:08,560 --> 00:03:11,680 Speaker 1: Verizon strike that's going to pollute this particular report, it'll 59 00:03:11,680 --> 00:03:14,880 Speaker 1: be hard to see through some of it. So it 60 00:03:14,919 --> 00:03:16,920 Speaker 1: may be it may be a little noisy this report, 61 00:03:17,040 --> 00:03:18,560 Speaker 1: but I think the truth is what we're getting is 62 00:03:18,919 --> 00:03:22,800 Speaker 1: an economy that's getting closer to full employment than it was. 63 00:03:23,240 --> 00:03:25,560 Speaker 1: It's not there yet, but closer than it was, which 64 00:03:25,560 --> 00:03:27,720 Speaker 1: means everything's gonna start slowing down a little bit in 65 00:03:27,760 --> 00:03:29,800 Speaker 1: the labor market and you'll see a little better trends 66 00:03:29,840 --> 00:03:32,200 Speaker 1: And what are you just starting to pick up over time? 67 00:03:32,400 --> 00:03:35,480 Speaker 1: Nothing is nothing's really dramatic here. Everything in the establishment 68 00:03:35,600 --> 00:03:37,640 Speaker 1: survey is is going to be polluted, as you put it, 69 00:03:37,680 --> 00:03:42,200 Speaker 1: by the Verizon strike um, the change in payrolls, hours, wars, 70 00:03:42,280 --> 00:03:46,520 Speaker 1: work and wages. Is there a ten second tutorial and 71 00:03:47,280 --> 00:03:50,640 Speaker 1: what people on a trading desk should do when the 72 00:03:50,720 --> 00:03:54,880 Speaker 1: number comes out to you know, in their heads adjust well. 73 00:03:54,920 --> 00:03:57,160 Speaker 1: I think people are gonna say if it's hundred and 74 00:03:57,160 --> 00:04:01,600 Speaker 1: fifty or more, good enough that it keeps the possibility 75 00:04:01,600 --> 00:04:04,320 Speaker 1: of a FED move in June on the table. It's 76 00:04:04,320 --> 00:04:06,680 Speaker 1: probably less about these data than it is about the 77 00:04:06,760 --> 00:04:10,280 Speaker 1: uncertainty with the British referendum vote and other things that 78 00:04:10,320 --> 00:04:13,560 Speaker 1: bother them. But to me, I think the cases been 79 00:04:13,720 --> 00:04:16,520 Speaker 1: pretty good that the economy is on track. The Feds 80 00:04:16,520 --> 00:04:20,960 Speaker 1: started this normalization process in December. They held off in March. 81 00:04:21,360 --> 00:04:23,360 Speaker 1: But the economy is doing well enough that it makes 82 00:04:23,360 --> 00:04:25,640 Speaker 1: sense to continue. And I think the more the Fed 83 00:04:25,720 --> 00:04:28,159 Speaker 1: can do in baby steps, the more content you may 84 00:04:28,200 --> 00:04:30,840 Speaker 1: come down the road. Then one thing Jim lass with 85 00:04:30,880 --> 00:04:34,640 Speaker 1: that Mike McKee learned me is the quick rate. Mike's 86 00:04:34,640 --> 00:04:37,400 Speaker 1: big on the Jolts survey and the quick rate Mike, 87 00:04:37,520 --> 00:04:41,480 Speaker 1: it's it's essentially in the vicinity of where it wasn't 88 00:04:41,480 --> 00:04:43,840 Speaker 1: two thousand and six. Yeah, when people feel good about 89 00:04:43,839 --> 00:04:46,440 Speaker 1: their jobs and confident they can find something, they will 90 00:04:46,480 --> 00:04:50,240 Speaker 1: be inclined to quit more frequently. And you know, Um, 91 00:04:50,520 --> 00:04:52,799 Speaker 1: you hearing all kinds of surveys and stories about people 92 00:04:53,000 --> 00:04:55,279 Speaker 1: getting frustrated with the job they got a while ago. 93 00:04:55,320 --> 00:04:57,599 Speaker 1: That's sort of a natural. That's a that's a good 94 00:04:57,600 --> 00:05:00,960 Speaker 1: sound to economists because that means the people are feeling 95 00:05:00,960 --> 00:05:04,479 Speaker 1: more confident in the jobs. There are more opportunities opening up. Um. 96 00:05:04,560 --> 00:05:06,360 Speaker 1: The first step is to get into the job market. 97 00:05:06,360 --> 00:05:08,359 Speaker 1: The next step is to look at your options and 98 00:05:08,400 --> 00:05:12,920 Speaker 1: try to migrate into something better. Raising a question though, um, 99 00:05:12,960 --> 00:05:15,320 Speaker 1: and again it's gonna be hard because of the Verizon strike, 100 00:05:15,400 --> 00:05:20,159 Speaker 1: But what would be a reasonable level of job growth. 101 00:05:20,160 --> 00:05:23,080 Speaker 1: And the reason I asked that is because for what 102 00:05:23,120 --> 00:05:26,320 Speaker 1: we understand, it's getting harder and harder to find employees. 103 00:05:26,560 --> 00:05:28,840 Speaker 1: And there's two hundred thousand plus rate that we've had 104 00:05:28,880 --> 00:05:31,839 Speaker 1: for so long. It's just not sustainable. Yeah, you know, 105 00:05:31,880 --> 00:05:34,680 Speaker 1: we don't really know for sure. People throw out numbers 106 00:05:34,680 --> 00:05:37,039 Speaker 1: like seventy two hundred thousand because when you look at 107 00:05:37,080 --> 00:05:40,080 Speaker 1: our labor force growth, the labor force has slowed down 108 00:05:40,080 --> 00:05:42,320 Speaker 1: because of demographics. The problem is we still have a 109 00:05:42,360 --> 00:05:45,719 Speaker 1: lot of young people, uh coming back into the job market. 110 00:05:45,760 --> 00:05:48,760 Speaker 1: We're still probably still a million shy of where we 111 00:05:48,760 --> 00:05:51,400 Speaker 1: were back in two thousand seven. So it's hard to 112 00:05:51,400 --> 00:05:54,159 Speaker 1: know what is a normal labor force growth just yet 113 00:05:54,279 --> 00:05:57,240 Speaker 1: because you still have the cyclical unwind going on. But 114 00:05:57,320 --> 00:05:59,479 Speaker 1: my guess is it's not more of an hundred thousand 115 00:05:59,560 --> 00:06:02,080 Speaker 1: jobs a month. Well does that? I mean, because this 116 00:06:02,160 --> 00:06:04,640 Speaker 1: is the headlines. Last month we got a hundred and 117 00:06:04,640 --> 00:06:09,640 Speaker 1: sixty thousand jobs and everybody said, terrible job. That's a mistake. Uh. 118 00:06:09,839 --> 00:06:12,000 Speaker 1: This is we should expect the job growth to slow 119 00:06:12,000 --> 00:06:16,000 Speaker 1: down gradually towards that hundred thousand or so as as 120 00:06:16,040 --> 00:06:18,279 Speaker 1: we keep making progress. I mean I'm I'm amazed that 121 00:06:18,320 --> 00:06:22,159 Speaker 1: we still see two hundred month with all that, you know, 122 00:06:22,200 --> 00:06:23,920 Speaker 1: it's it's kind of I hear people saying it's harder 123 00:06:23,920 --> 00:06:26,680 Speaker 1: to find people with the right skills, but instead of 124 00:06:26,720 --> 00:06:28,760 Speaker 1: a reminder that there still is a are still a 125 00:06:28,760 --> 00:06:31,839 Speaker 1: lot of people out there who gave up earlier, who 126 00:06:31,880 --> 00:06:35,280 Speaker 1: are available. Okay, I gotta I gotta read this headline, 127 00:06:35,320 --> 00:06:37,720 Speaker 1: Michael McKee, this is the headline of the day. This 128 00:06:37,800 --> 00:06:41,559 Speaker 1: is a maye that's from the Economic Policy Institute, which 129 00:06:41,640 --> 00:06:44,480 Speaker 1: everybody reads. It's a I'm gonna call it a more progressive, 130 00:06:44,520 --> 00:06:48,599 Speaker 1: a liberal labor website that worried about the have nots 131 00:06:48,680 --> 00:06:50,760 Speaker 1: far more than the elites in the house. Mike, this 132 00:06:50,839 --> 00:06:57,120 Speaker 1: is great, Ross Isenbrake. Universities opposed paying their post ducts 133 00:06:57,240 --> 00:07:04,680 Speaker 1: over time, but we'll pay football coaches millions of dollars. 134 00:07:03,480 --> 00:07:07,240 Speaker 1: That's like an onion headline of the e p I, 135 00:07:07,279 --> 00:07:11,120 Speaker 1: except that's an actual EPI headline. But but Jim Glass, 136 00:07:11,120 --> 00:07:13,000 Speaker 1: when the reason I bring it up, it goes to 137 00:07:13,080 --> 00:07:16,880 Speaker 1: the social tension that you have covered a lot. There's 138 00:07:16,880 --> 00:07:19,600 Speaker 1: a lot of that going on, and which is why 139 00:07:19,760 --> 00:07:23,679 Speaker 1: the the politics of this season are different than anyone expected. 140 00:07:24,000 --> 00:07:27,200 Speaker 1: We're tapping into that that Bernie Sanders and Donald Trump 141 00:07:27,240 --> 00:07:29,880 Speaker 1: are tapping. Let me bring it back to eight thirty 142 00:07:29,960 --> 00:07:33,800 Speaker 1: this morning. In twenty two minutes, we're gonna do two hundred. 143 00:07:34,240 --> 00:07:37,000 Speaker 1: Just Mike, you had the killer chart this morning showing 144 00:07:37,200 --> 00:07:41,000 Speaker 1: every months the same. All our audience wants to know, 145 00:07:41,200 --> 00:07:44,800 Speaker 1: Dr Glassman, are they good jobs? Yeah? And you know 146 00:07:45,400 --> 00:07:47,760 Speaker 1: it's no longer about the recovery. The recovery has happened 147 00:07:47,920 --> 00:07:50,000 Speaker 1: and we're doing a bigger job. The issue has been 148 00:07:50,040 --> 00:07:53,160 Speaker 1: something that's been festering for a couple of decades. Is 149 00:07:53,240 --> 00:07:56,520 Speaker 1: all the innovation that's been going on very disruptive. There's 150 00:07:56,560 --> 00:07:59,600 Speaker 1: all kinds of disruptive things going on in many different industries, 151 00:08:00,160 --> 00:08:03,200 Speaker 1: and it's um a lot of people have lost jobs 152 00:08:03,240 --> 00:08:07,160 Speaker 1: to the robots and other things that get done. And 153 00:08:07,200 --> 00:08:09,400 Speaker 1: all this technology is sort of making life more competitive. 154 00:08:09,760 --> 00:08:13,280 Speaker 1: Do a robot isn't taking over for football coaches making 155 00:08:13,320 --> 00:08:17,560 Speaker 1: millions of But the core issue, the mail that Michael 156 00:08:17,600 --> 00:08:22,880 Speaker 1: and I get is are these good jobs? The vast 157 00:08:22,960 --> 00:08:25,960 Speaker 1: majority of our listeners they know they're not. No, And 158 00:08:26,000 --> 00:08:28,480 Speaker 1: you know that the thing is, when you're into recovery, 159 00:08:28,640 --> 00:08:32,280 Speaker 1: the first jobs you're getting are never the best job. 160 00:08:32,520 --> 00:08:34,920 Speaker 1: The first things. First things first, get a job, and 161 00:08:34,960 --> 00:08:37,040 Speaker 1: then what you find out if the economy continues to 162 00:08:37,080 --> 00:08:40,959 Speaker 1: chug along, no problems, no downturn. These first start jobs 163 00:08:41,040 --> 00:08:43,680 Speaker 1: turned into better jobs, I'm not sure they turned into 164 00:08:43,720 --> 00:08:47,680 Speaker 1: better pay. If you had a job in the auto 165 00:08:48,200 --> 00:08:50,719 Speaker 1: plant ten years ago, it's you're probably not getting the 166 00:08:50,760 --> 00:08:53,240 Speaker 1: same pay that you were then, and that's the issue 167 00:08:53,280 --> 00:08:55,680 Speaker 1: I think. I think, I think the first thing, though, 168 00:08:56,000 --> 00:08:58,040 Speaker 1: you get the economy back on its feet, we have 169 00:08:58,120 --> 00:09:01,040 Speaker 1: a better shot at helping the people who have been 170 00:09:01,080 --> 00:09:03,240 Speaker 1: cut out that you get, you get some of the 171 00:09:03,240 --> 00:09:05,920 Speaker 1: things that are going on that are disruptive do create 172 00:09:06,000 --> 00:09:09,720 Speaker 1: new opportunities, but it takes time. And I think when 173 00:09:09,720 --> 00:09:12,040 Speaker 1: you pile a recession on type of a really difficult 174 00:09:12,840 --> 00:09:16,160 Speaker 1: innovation disruptions, it makes it much worse for everybody. Tom 175 00:09:16,240 --> 00:09:20,800 Speaker 1: loves them a lad of fed. Uh wage tracker and 176 00:09:21,000 --> 00:09:22,520 Speaker 1: a lot of people. I mean, it's it's different. The 177 00:09:22,520 --> 00:09:25,640 Speaker 1: wage tracker looks at people who had a job twelve 178 00:09:25,679 --> 00:09:30,679 Speaker 1: months before and what they're making now, and uh, but 179 00:09:30,800 --> 00:09:35,080 Speaker 1: what the interesting piece they had out today, uh suggesting 180 00:09:35,280 --> 00:09:38,480 Speaker 1: that um, if you have a job and have quit 181 00:09:38,559 --> 00:09:40,240 Speaker 1: and gone to a new job, your pay is going 182 00:09:40,280 --> 00:09:43,120 Speaker 1: up faster than people who are just in the same job, 183 00:09:43,559 --> 00:09:45,520 Speaker 1: because I mean it makes they're more mobile. That does 184 00:09:45,600 --> 00:09:47,520 Speaker 1: make sense. They're probably more mobile. They're people who are 185 00:09:47,520 --> 00:09:50,600 Speaker 1: willing to take the risk jumping into some new and 186 00:09:50,800 --> 00:09:54,120 Speaker 1: companies are willing to pay up to lure people away 187 00:09:54,120 --> 00:09:55,880 Speaker 1: from other jobs, which we haven't seen in a while. 188 00:09:56,120 --> 00:09:57,280 Speaker 1: You know, I heard a lot of this. I was 189 00:09:57,320 --> 00:10:00,120 Speaker 1: in Western Michigan yesterday and people there are complaining and 190 00:10:00,160 --> 00:10:02,320 Speaker 1: they're having to work, they're having to pay is going 191 00:10:02,440 --> 00:10:04,360 Speaker 1: up because they're having a hard time keeping people in 192 00:10:04,840 --> 00:10:06,800 Speaker 1: the area and some of these jobs, so do you 193 00:10:06,800 --> 00:10:09,520 Speaker 1: hear pockets of that. Technology has certainly been one of them. 194 00:10:09,800 --> 00:10:12,760 Speaker 1: The thing, Well, we're gonna come back. Jim Blastman with 195 00:10:12,800 --> 00:10:15,480 Speaker 1: us at JP Morgan. He'll be with us moving through 196 00:10:15,520 --> 00:10:18,520 Speaker 1: this half hour. He'll stay after the job's report to 197 00:10:18,559 --> 00:10:22,360 Speaker 1: give you immediate perspective on For those that don't know this, 198 00:10:22,440 --> 00:10:26,400 Speaker 1: it's not just about three numbers or two numbers. There's 199 00:10:26,440 --> 00:10:29,280 Speaker 1: like four pages of minute detail. We try to get 200 00:10:29,280 --> 00:10:31,280 Speaker 1: through it as soon as we can, and of course 201 00:10:31,280 --> 00:10:33,959 Speaker 1: we'll give you the market reaction. The number one statistic 202 00:10:34,480 --> 00:10:36,800 Speaker 1: I look at off any jobs report is a two 203 00:10:36,880 --> 00:10:40,319 Speaker 1: year yield point eight eight to nine. I write the 204 00:10:40,400 --> 00:10:43,200 Speaker 1: numbers down right here in our World headquarters, four or 205 00:10:43,200 --> 00:10:46,000 Speaker 1: five key numbers like yen and golden that and we'll 206 00:10:46,040 --> 00:10:53,760 Speaker 1: do that at eight thirty this morning. Let's chack it 207 00:10:53,880 --> 00:10:55,800 Speaker 1: with Michael Barr now and get the latest world and 208 00:10:55,960 --> 00:10:58,840 Speaker 1: national headlines. Michael, Mike, Tom, thank you very much. Five 209 00:10:58,880 --> 00:11:01,640 Speaker 1: soldiers were killed and four are missing after an Army 210 00:11:01,679 --> 00:11:05,640 Speaker 1: trooper carrier overturned in the rain swollen creek at ford Hood, Texas. 211 00:11:05,920 --> 00:11:08,079 Speaker 1: Parts of Texas have been inundated with rain in the 212 00:11:08,160 --> 00:11:10,640 Speaker 1: last week. More than half of the state is under 213 00:11:10,640 --> 00:11:14,520 Speaker 1: flood watches or warnings, including the counties near ford Hood. 214 00:11:14,840 --> 00:11:17,880 Speaker 1: The swollen Sine River is still rising, setting off a 215 00:11:17,880 --> 00:11:21,079 Speaker 1: scramble by curators at the Louver to protect a huge 216 00:11:21,200 --> 00:11:24,640 Speaker 1: trove of art from the museum's priceless collection from the 217 00:11:24,679 --> 00:11:27,880 Speaker 1: flooding in France, saying, which officials said was at his 218 00:11:28,000 --> 00:11:30,959 Speaker 1: highest level in about thirty five years, is forecast a 219 00:11:31,000 --> 00:11:34,480 Speaker 1: peak today. Refugees continue to lose their lives attempting sea 220 00:11:34,520 --> 00:11:37,800 Speaker 1: crossings to get to Europe. Lebia's navy spokesman says more 221 00:11:37,800 --> 00:11:40,280 Speaker 1: than a hundred bodies of migrants have been retrieved after 222 00:11:40,320 --> 00:11:44,040 Speaker 1: a boat capsized off Debas Shoes. Global News twenty four 223 00:11:44,080 --> 00:11:46,720 Speaker 1: hours a day, powered by our twenty four hundred journalists, 224 00:11:46,720 --> 00:11:50,560 Speaker 1: more than news bureaus around the world. Michael Bartime, Michael, 225 00:11:50,559 --> 00:11:52,559 Speaker 1: thanks so much us. Wander across the screen and look 226 00:11:52,559 --> 00:11:55,080 Speaker 1: at key data two year point eight eight to nine. 227 00:11:55,160 --> 00:11:59,800 Speaker 1: Futures are flat the Yen oneh eight Nichael McKee and 228 00:12:00,000 --> 00:12:03,400 Speaker 1: I'm King with Bill Gross and Jim Glassman's Bloomberg Surveillance. 229 00:12:07,200 --> 00:12:09,160 Speaker 1: The news update brought to you by your Mercedes Benz 230 00:12:09,200 --> 00:12:11,160 Speaker 1: Tri State Dealer. There's no better way to experience some 231 00:12:11,320 --> 00:12:12,760 Speaker 1: er than the car of your dreams. And now you 232 00:12:12,800 --> 00:12:15,360 Speaker 1: can get the expertly crafted Mercedes Benz for less than 233 00:12:15,400 --> 00:12:17,679 Speaker 1: you can imagine. Visit your Tri State dealer or m 234 00:12:17,720 --> 00:12:23,960 Speaker 1: b USA dot com. Global Business News twenty four hours 235 00:12:23,960 --> 00:12:27,080 Speaker 1: a day. If Bloomberg dot Com the Radio plus mobile 236 00:12:27,120 --> 00:12:30,440 Speaker 1: lapp and on your radio. This is a Bloomberg Business 237 00:12:30,480 --> 00:12:34,520 Speaker 1: Flash And I'm Karen Moscow. Futures are a little change 238 00:12:34,520 --> 00:12:37,120 Speaker 1: with the jobs are port just about thirteen minutes away 239 00:12:37,160 --> 00:12:39,079 Speaker 1: from now. Let's go to the First Word Breaking news 240 00:12:39,160 --> 00:12:42,520 Speaker 1: desk for today's morning call. Here's Bill muloney, Good morning Deal, 241 00:12:42,800 --> 00:12:46,600 Speaker 1: Good morning Karen. US futures remain quiet ahead of the data, 242 00:12:46,880 --> 00:12:49,880 Speaker 1: with doubt futures currently hired by nineteen points. Sesamees gain 243 00:12:49,920 --> 00:12:52,360 Speaker 1: a point and as a futures are lower by one. 244 00:12:52,679 --> 00:12:55,559 Speaker 1: The US tenniel at one point seven nine percent, and 245 00:12:55,720 --> 00:12:58,720 Speaker 1: Asian markets rose overnight, while up of markets are also 246 00:12:58,760 --> 00:13:01,920 Speaker 1: trading higher this morning. The UK gains one per cent. 247 00:13:02,400 --> 00:13:05,440 Speaker 1: On the economic front. Those job numbers non farm Payroll's 248 00:13:05,520 --> 00:13:08,679 Speaker 1: estimate a hundred and sixty thousand, unemploye rate estimate four 249 00:13:08,720 --> 00:13:12,599 Speaker 1: point nine percent. Market use services p M I and 250 00:13:12,679 --> 00:13:15,160 Speaker 1: at ten o'clock, factory orders and I s M non 251 00:13:15,280 --> 00:13:19,439 Speaker 1: manufacturing composite. After the bell last night, Brock comment, Ambarrella 252 00:13:19,559 --> 00:13:23,479 Speaker 1: beat Cooper Companies boosted your at just EPs and revenue forecasts, 253 00:13:23,720 --> 00:13:27,160 Speaker 1: and the gap May comp sales beat estimates. In Dealing news, 254 00:13:27,240 --> 00:13:30,200 Speaker 1: Delta and United Continental are said to be weighing bids 255 00:13:30,240 --> 00:13:33,920 Speaker 1: for a Latin American airline, Avianca Holdings Abanca shares up 256 00:13:33,960 --> 00:13:36,600 Speaker 1: twenty nine percent pre market. H C two said it's 257 00:13:36,600 --> 00:13:39,599 Speaker 1: willing to raise it's Anderson's offer, and Talent Energy to 258 00:13:39,640 --> 00:13:42,960 Speaker 1: be acquired by Riverstone for fourteen dollars to share an 259 00:13:42,960 --> 00:13:46,240 Speaker 1: other news Vali gets added notice of default undelayed ten 260 00:13:46,360 --> 00:13:49,679 Speaker 1: que filing, finding some of your wall sheet upgrades and downgrades. 261 00:13:49,960 --> 00:13:52,960 Speaker 1: Deer race to buy from neutral over at Colman Sachs, Union, 262 00:13:53,000 --> 00:13:56,160 Speaker 1: Pacific Race to avoid at Morgan, Stanley and Weatherford raised 263 00:13:56,160 --> 00:13:59,360 Speaker 1: to overweight versus neutral over at Piper Live from the 264 00:13:59,400 --> 00:14:02,200 Speaker 1: first breaking is ask on Boo Meloney car all right, 265 00:14:02,240 --> 00:14:04,920 Speaker 1: thanks bail to hear live breaking news over your Bloomberg 266 00:14:05,000 --> 00:14:07,240 Speaker 1: type squawk A go on your terminal. That's as qu 267 00:14:07,559 --> 00:14:10,400 Speaker 1: a w k go. That's a Bloomberg business flash, Tom 268 00:14:10,440 --> 00:14:13,800 Speaker 1: and my Karen, thanks so much. Bloomberg Surveillance is job today. 269 00:14:13,840 --> 00:14:17,160 Speaker 1: Brought you by Investco. Investco believes it's time to say 270 00:14:17,200 --> 00:14:21,760 Speaker 1: goodbye to the traditional sixties stock by allocations say hello 271 00:14:22,360 --> 00:14:26,240 Speaker 1: two alternatives as a court part a modern portfolios learned 272 00:14:26,240 --> 00:14:30,160 Speaker 1: word investco dot com slash alto Mike, I think there's 273 00:14:30,200 --> 00:14:34,760 Speaker 1: some important backdrops. Mexican Paso has had a horrific week 274 00:14:34,880 --> 00:14:37,920 Speaker 1: eight point seven one. It breaks out the new weakness 275 00:14:38,000 --> 00:14:41,640 Speaker 1: this week, not through the February record weakness, but um 276 00:14:41,720 --> 00:14:45,080 Speaker 1: I would look at Mexican Paso into the week as well. 277 00:14:45,240 --> 00:14:48,880 Speaker 1: In German yields flat out grind lower through the week. 278 00:14:49,320 --> 00:14:52,800 Speaker 1: We had a point zero nine handle on the tenure yield. 279 00:14:52,840 --> 00:14:55,680 Speaker 1: That's a big deal to break below point one zero. 280 00:14:55,840 --> 00:14:58,840 Speaker 1: Right now we are at point one zero one percent 281 00:14:59,400 --> 00:15:02,680 Speaker 1: on the germ in ten year yield. A couple of people, Uh, 282 00:15:03,440 --> 00:15:05,160 Speaker 1: you mentioned the pace. So this morning I looked at 283 00:15:05,160 --> 00:15:07,880 Speaker 1: a couple of people who said us, UH, analyst reports 284 00:15:08,000 --> 00:15:09,720 Speaker 1: and what's going on with the pay? So I read 285 00:15:09,800 --> 00:15:12,440 Speaker 1: through one from the folks at BNP Perry Bah. It's 286 00:15:12,480 --> 00:15:15,480 Speaker 1: like ten or eleven pages and their bottom line conclusions 287 00:15:15,520 --> 00:15:19,160 Speaker 1: they don't know. Um, it seems to be a combination 288 00:15:19,280 --> 00:15:22,720 Speaker 1: of factors, but there's no good reason for their Their 289 00:15:22,760 --> 00:15:25,040 Speaker 1: conclusion was it's over So we're not gonna send anybody 290 00:15:25,080 --> 00:15:28,560 Speaker 1: the report. Don't don't ask us but um, but they 291 00:15:28,840 --> 00:15:31,480 Speaker 1: thought it was oversold and it might turn around. Uh. 292 00:15:31,760 --> 00:15:33,800 Speaker 1: You just go to show. This gets to as something 293 00:15:33,880 --> 00:15:35,760 Speaker 1: that Jim and I were just talking about, Jim Glassman 294 00:15:35,800 --> 00:15:40,560 Speaker 1: with us from JP Morgan Chase about UM, how confusing 295 00:15:40,680 --> 00:15:43,320 Speaker 1: data can be. And you noted that a friend of 296 00:15:43,320 --> 00:15:45,520 Speaker 1: yours at the Council of Economic Advisors, what's the data 297 00:15:45,600 --> 00:15:48,760 Speaker 1: don't have to make sense? And they don't and and 298 00:15:49,040 --> 00:15:52,880 Speaker 1: uh and actually, you know, for for a situation like 299 00:15:52,960 --> 00:15:55,960 Speaker 1: we're in now, with the jobs report being distorted, the 300 00:15:56,040 --> 00:15:58,000 Speaker 1: numbers of trying to be added up by the fend 301 00:15:58,040 --> 00:16:01,560 Speaker 1: and everything, you're sitting there smiling. This is fun, you said, 302 00:16:01,720 --> 00:16:04,840 Speaker 1: this is a guilty pleasure of most economists. We we 303 00:16:04,960 --> 00:16:07,320 Speaker 1: love confusion because then you can sit and try to 304 00:16:07,320 --> 00:16:09,480 Speaker 1: figure out what, why does things do things not not 305 00:16:09,600 --> 00:16:12,360 Speaker 1: make sense? Very often you find that it's because we're 306 00:16:12,360 --> 00:16:16,160 Speaker 1: not measuring things properly, or they're just normal seasonal distortions 307 00:16:16,240 --> 00:16:19,280 Speaker 1: going on there, like first quarter growth. Yeah, yeah, like everybody. 308 00:16:19,480 --> 00:16:22,640 Speaker 1: Everyone talks about the economy through the lens of GDP, 309 00:16:22,800 --> 00:16:26,320 Speaker 1: but GDP itself is extremely volatile and and and the 310 00:16:26,400 --> 00:16:29,440 Speaker 1: government's analysts are now acknowledging that there's this very big 311 00:16:29,520 --> 00:16:32,480 Speaker 1: seasonal problem that's been going on for ten years. So 312 00:16:32,920 --> 00:16:35,080 Speaker 1: you know, that's why, that's why the job market trends 313 00:16:35,160 --> 00:16:38,320 Speaker 1: are so valuable. It's not just anyone number, but it's 314 00:16:38,360 --> 00:16:41,840 Speaker 1: the whole package of different job trends. That's what's really 315 00:16:41,880 --> 00:16:43,560 Speaker 1: going on in the economy. The other stuff that we 316 00:16:43,640 --> 00:16:46,000 Speaker 1: have is just trying to guess what's going on. How 317 00:16:46,120 --> 00:16:48,760 Speaker 1: do you respond, and you know, we're talking about job shortages, 318 00:16:48,840 --> 00:16:52,400 Speaker 1: and if I talk to people in skilled service sector areas, 319 00:16:53,040 --> 00:16:57,280 Speaker 1: they're screaming about the difficulty of keeping people. Yeah, and 320 00:16:57,440 --> 00:17:00,200 Speaker 1: and all that. I get that, But the do you 321 00:17:00,320 --> 00:17:03,960 Speaker 1: respond to the vast majority of our listeners who say 322 00:17:04,280 --> 00:17:08,000 Speaker 1: economists and blueblazers with a blue shirt are nuts that 323 00:17:08,040 --> 00:17:12,879 Speaker 1: would that would be away. Here's the problem. If you 324 00:17:13,040 --> 00:17:16,520 Speaker 1: look at who has really suffered the biggest changes over 325 00:17:16,560 --> 00:17:19,760 Speaker 1: the last couple of decades, look at job grow job, 326 00:17:20,040 --> 00:17:22,320 Speaker 1: the share of the economy that's in different jobs by pay, 327 00:17:22,880 --> 00:17:24,960 Speaker 1: what you realize is it's it's it's the folks in 328 00:17:25,000 --> 00:17:28,640 Speaker 1: the middle in the manufacturing business in particular, who've really 329 00:17:28,680 --> 00:17:30,960 Speaker 1: gotten squeezed out. And know a lot of those guys 330 00:17:31,080 --> 00:17:34,440 Speaker 1: are in their fifties. Um, if you lose a job 331 00:17:34,600 --> 00:17:36,800 Speaker 1: because of things that are going on in the world 332 00:17:36,960 --> 00:17:40,280 Speaker 1: and projects are being shifted somewhere else or innovation, it's 333 00:17:40,440 --> 00:17:42,639 Speaker 1: very difficult when you're in your fifties to retrain for 334 00:17:42,720 --> 00:17:45,240 Speaker 1: something else. So you're gonna have a tough time finding 335 00:17:45,240 --> 00:17:47,080 Speaker 1: a job that pays you as well as what you had. 336 00:17:47,480 --> 00:17:49,240 Speaker 1: I think those are a lot of the folks that 337 00:17:49,320 --> 00:17:52,920 Speaker 1: we're hearing from they're the ones that complain. So, yeah, 338 00:17:53,119 --> 00:17:56,760 Speaker 1: where the new where the new opportunities are the technology area, 339 00:17:57,359 --> 00:18:01,560 Speaker 1: some of the higher skilled service jobs. You if you 340 00:18:01,760 --> 00:18:04,199 Speaker 1: were lucky and you have the skills and you were 341 00:18:04,240 --> 00:18:07,359 Speaker 1: able to develop in your twenties, you're probably in good shape. 342 00:18:07,359 --> 00:18:09,720 Speaker 1: But it's very tough for people to learn the new 343 00:18:09,760 --> 00:18:13,520 Speaker 1: technology if you've lost the job that you had then 344 00:18:13,560 --> 00:18:14,920 Speaker 1: you thought you were gonna have for the rest of 345 00:18:14,960 --> 00:18:17,360 Speaker 1: your life. So it's really that middle, and you see 346 00:18:17,359 --> 00:18:21,600 Speaker 1: all kinds of hints of this the skills gap. The 347 00:18:22,400 --> 00:18:24,040 Speaker 1: folks in the middle are the ones that have really 348 00:18:24,119 --> 00:18:28,040 Speaker 1: been cut out. Before we get to the number, which 349 00:18:28,200 --> 00:18:32,320 Speaker 1: comes up in about six minutes or so, Verizon included 350 00:18:32,640 --> 00:18:35,920 Speaker 1: what are you expecting today? Uh, and what would be 351 00:18:36,040 --> 00:18:38,600 Speaker 1: a good report from your point of view? Well, I 352 00:18:38,640 --> 00:18:43,520 Speaker 1: think anything over D thirty five, maybe over a hundred 353 00:18:43,560 --> 00:18:45,760 Speaker 1: fifty or better would have to be viewed. I think 354 00:18:45,800 --> 00:18:47,840 Speaker 1: people would tend to view it as pretty decent or 355 00:18:47,880 --> 00:18:50,359 Speaker 1: pretty much the same because you got you have, you 356 00:18:50,440 --> 00:18:52,400 Speaker 1: have to add thirty five thousand to whatever you see, 357 00:18:53,040 --> 00:18:56,760 Speaker 1: and then there's normal volatility and it it was pretty 358 00:18:56,800 --> 00:18:58,920 Speaker 1: weak in the month of April. Some people think that's 359 00:18:58,960 --> 00:19:03,080 Speaker 1: a signal that the job markets losing momentum. I doubt it. Yet. 360 00:19:03,320 --> 00:19:05,440 Speaker 1: It's probably coming, but I doubt it. So I think 361 00:19:05,480 --> 00:19:08,440 Speaker 1: anything hudift over is gonna be viewed as pretty decent. 362 00:19:09,280 --> 00:19:12,000 Speaker 1: H you'd say, well, that's sort of more like the 363 00:19:12,080 --> 00:19:17,000 Speaker 1: April but me, you know, but but so bad either seconds. 364 00:19:17,280 --> 00:19:20,720 Speaker 1: Does Janet Yellen care about this job's report, I mean 365 00:19:20,840 --> 00:19:23,960 Speaker 1: she will not. I think she cares about all job reports. 366 00:19:24,040 --> 00:19:26,119 Speaker 1: But I don't think this is the issue for her 367 00:19:26,240 --> 00:19:29,000 Speaker 1: right now. I think what is I think the issue 368 00:19:29,080 --> 00:19:33,800 Speaker 1: is the uncertainty surrounding this British referendum vote, and the 369 00:19:34,240 --> 00:19:37,399 Speaker 1: and the and the uncertainty it is creating in the 370 00:19:37,440 --> 00:19:39,680 Speaker 1: European community. Not that she can do anything about it, 371 00:19:40,119 --> 00:19:42,879 Speaker 1: but I think if there's no rush it, you know, 372 00:19:43,200 --> 00:19:45,280 Speaker 1: the uncertainty about that might make you want to hold 373 00:19:45,320 --> 00:19:47,840 Speaker 1: off until you get past all this my answer, and 374 00:19:47,920 --> 00:19:50,520 Speaker 1: I think you're entirely correct, Dr Glassman, as I look 375 00:19:50,560 --> 00:19:53,520 Speaker 1: at my Bloomberg screen and it tells me the uncertainties 376 00:19:53,560 --> 00:19:56,000 Speaker 1: out there for the Chair of the Fed, Jim Glassman, 377 00:19:56,480 --> 00:19:58,200 Speaker 1: w us Bill gross will join us here, but we'll 378 00:19:58,240 --> 00:20:02,920 Speaker 1: have Dr Glassman immediately following the job's report for your 379 00:20:03,040 --> 00:20:07,600 Speaker 1: futures are flat coming up with them with all due respect. 380 00:20:07,640 --> 00:20:09,200 Speaker 1: Highlight brought to you by land Rover. 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