1 00:00:00,600 --> 00:00:10,720 Speaker 1: Boo Bloomberg Audio Studios, podcasts, radio news. You're listening to 2 00:00:10,760 --> 00:00:14,760 Speaker 1: the Bloomberg Intelligence Podcast. Catch us live weekdays at ten 3 00:00:14,800 --> 00:00:17,439 Speaker 1: am Eastern on Apple car Playing and Broyd Auto with 4 00:00:17,440 --> 00:00:20,480 Speaker 1: the Bloomberg Business app. Listen on demand wherever you get 5 00:00:20,560 --> 00:00:23,360 Speaker 1: your podcasts, or watch us live on YouTube. 6 00:00:24,920 --> 00:00:28,080 Speaker 2: I'm Alex the alongside Paul Sweeney. This is Bloomberg Intelligence Radio. 7 00:00:28,160 --> 00:00:30,280 Speaker 2: We bring you all the top news and business, economics 8 00:00:30,280 --> 00:00:33,240 Speaker 2: and finance. There are lens of our Bloomberg Intelligence analysts. 9 00:00:33,280 --> 00:00:35,800 Speaker 2: They cover two thousand companies and one hundred and thirty 10 00:00:35,800 --> 00:00:38,879 Speaker 2: industries worldwide. And one of them that I bug all 11 00:00:38,920 --> 00:00:42,680 Speaker 2: the time is George Ferguson Bloomberg Intelligence Senior Aerospace, Defense 12 00:00:42,680 --> 00:00:45,840 Speaker 2: and Airlines analysts. I stalked him yesterday over Airbus because 13 00:00:45,840 --> 00:00:48,000 Speaker 2: we have a CEO on TV and I was like, George, 14 00:00:48,159 --> 00:00:50,720 Speaker 2: I need more questions than just Hey, what's up with space? 15 00:00:51,560 --> 00:00:54,200 Speaker 2: What's up with Boeing is now the better question for today. 16 00:00:54,240 --> 00:00:57,360 Speaker 2: So Boeing now appointing Kelly Ortberg as its new chief 17 00:00:57,400 --> 00:00:59,639 Speaker 2: executive officer of the stock is up by about three 18 00:00:59,680 --> 00:01:02,400 Speaker 2: and a half percent. He is a retired veteran of 19 00:01:02,440 --> 00:01:05,679 Speaker 2: the aviation industry. He is an engineer by training. Is 20 00:01:05,720 --> 00:01:08,120 Speaker 2: this the guy that Boeing needs, George? 21 00:01:08,480 --> 00:01:08,759 Speaker 3: Is he? 22 00:01:10,480 --> 00:01:10,560 Speaker 1: Not? 23 00:01:10,680 --> 00:01:13,279 Speaker 4: So sure? I think it's the guy that Boeing needs 24 00:01:13,319 --> 00:01:16,920 Speaker 4: for a small period of time, right because he was 25 00:01:16,920 --> 00:01:20,320 Speaker 4: already retired, right, he has you know, he's a great 26 00:01:20,360 --> 00:01:24,319 Speaker 4: career in aerospace working at Colins, help him put Collins 27 00:01:24,319 --> 00:01:28,760 Speaker 4: into RTX, I mean, a great experience. He's sixty four, 28 00:01:29,440 --> 00:01:31,040 Speaker 4: So my guess is he doesn't have a lot of 29 00:01:31,120 --> 00:01:33,640 Speaker 4: runway to work at Boeing. I think it'd have been 30 00:01:33,720 --> 00:01:36,440 Speaker 4: nicer to see a CEO that could have put I 31 00:01:36,480 --> 00:01:42,080 Speaker 4: don't know, five seven, ten years into Boeing. But look, 32 00:01:42,120 --> 00:01:43,880 Speaker 4: I think the job is very difficult, and so I 33 00:01:43,920 --> 00:01:45,880 Speaker 4: think it's going to take a lot out of the 34 00:01:45,920 --> 00:01:51,440 Speaker 4: next CEO. And so maybe this is an interim as 35 00:01:51,480 --> 00:01:56,480 Speaker 4: they continue to develop internal candidates for the job. Maybe 36 00:01:56,520 --> 00:01:58,960 Speaker 4: it's very pretty difficult to recruit somebody into this job 37 00:01:59,080 --> 00:02:01,960 Speaker 4: right now. Could be an interim because of that as well. 38 00:02:02,040 --> 00:02:06,880 Speaker 4: So again, you know, the strong aerospace background at the 39 00:02:06,920 --> 00:02:10,600 Speaker 4: component at the you know, parts maker level, but doesn't 40 00:02:10,639 --> 00:02:12,400 Speaker 4: look like someone's going to be around for the next 41 00:02:13,040 --> 00:02:14,720 Speaker 4: five seven years, all. 42 00:02:14,720 --> 00:02:17,200 Speaker 5: Right, George, All right, So that's the CEO, how about 43 00:02:17,320 --> 00:02:19,560 Speaker 5: on the fundamentals here and looking at the second quarter 44 00:02:19,960 --> 00:02:24,720 Speaker 5: negative adjusted free cash slow four point three billion dollars. 45 00:02:25,440 --> 00:02:27,720 Speaker 5: You can't like that. Talk to us about kind of 46 00:02:27,720 --> 00:02:29,800 Speaker 5: the cash flow, that dynamics and what they need to do. 47 00:02:30,560 --> 00:02:32,880 Speaker 4: So we kind of expected that four point three billion 48 00:02:32,960 --> 00:02:37,120 Speaker 4: dollars to be Really honest, I'm not totally sure why 49 00:02:37,120 --> 00:02:39,280 Speaker 4: the stock is up. I don't think it's Kelly because 50 00:02:39,320 --> 00:02:42,400 Speaker 4: Kelly News started the day out and bowing an anchors 51 00:02:42,480 --> 00:02:45,160 Speaker 4: up about one so post earnings were up. You know 52 00:02:45,200 --> 00:02:47,919 Speaker 4: we've done this pop. I mean, you know, we heard 53 00:02:47,919 --> 00:02:50,920 Speaker 4: from CFO Brian West during the call. He told us 54 00:02:50,919 --> 00:02:54,640 Speaker 4: Burn was going to be pretty strong in three Q two, 55 00:02:55,440 --> 00:02:57,600 Speaker 4: and then some the analysts tried to box him in 56 00:02:57,639 --> 00:02:59,320 Speaker 4: on what Burn was going to be for the year. 57 00:03:00,040 --> 00:03:03,640 Speaker 4: One said would be closer to five billion or ten billion. 58 00:03:04,200 --> 00:03:05,920 Speaker 4: He said he was, and I think his quote somebody, 59 00:03:06,000 --> 00:03:07,680 Speaker 4: I'm not smart enough to tell you at this time. 60 00:03:08,520 --> 00:03:11,560 Speaker 4: So there's just a lot of variability right now. Look, 61 00:03:11,560 --> 00:03:16,120 Speaker 4: Boeing has to keep taking inventory, taking ship sets from 62 00:03:16,160 --> 00:03:19,880 Speaker 4: their supplier base to keep their supplier base in business 63 00:03:20,480 --> 00:03:22,600 Speaker 4: while they ramp up builds. And they had some good 64 00:03:22,600 --> 00:03:26,120 Speaker 4: commentaries and builds. They talked about the factory kind of 65 00:03:26,120 --> 00:03:28,480 Speaker 4: putting out twenty ish I think was the number, and 66 00:03:28,520 --> 00:03:31,600 Speaker 4: I think total deliveries in the thirty ish range for 67 00:03:31,720 --> 00:03:35,240 Speaker 4: seven thirty sevens rising to thirty eight shutting down those 68 00:03:35,280 --> 00:03:40,320 Speaker 4: shadow factories. It's the factories that they have, the inventoried airplanes, 69 00:03:40,440 --> 00:03:43,400 Speaker 4: a lot of seven three sevens, some seven eight sevens 70 00:03:43,440 --> 00:03:45,080 Speaker 4: in shutting them down by the end of the year. 71 00:03:45,480 --> 00:03:48,839 Speaker 4: That was I think great commentary. You know, we got 72 00:03:48,840 --> 00:03:50,840 Speaker 4: to the commentary about what's going to go on with 73 00:03:50,880 --> 00:03:53,839 Speaker 4: the union negotiations. Those are coming up in September. Dave 74 00:03:53,920 --> 00:03:57,280 Speaker 4: Calhoun kind of told us he I think wasn't totally 75 00:03:57,440 --> 00:04:00,440 Speaker 4: focused on that right now, or didn't have couldn't give 76 00:04:00,480 --> 00:04:03,440 Speaker 4: us puts and takes there. That's incredibly important. Right, So 77 00:04:03,760 --> 00:04:05,840 Speaker 4: if we get into a situation where the union shuts 78 00:04:05,880 --> 00:04:10,080 Speaker 4: this company down in September, the cash burn this year 79 00:04:10,080 --> 00:04:14,320 Speaker 4: looks looks horrible. Their back going to capital markets looking 80 00:04:14,400 --> 00:04:16,680 Speaker 4: for a bond raise, which I think everybody on the 81 00:04:16,720 --> 00:04:18,880 Speaker 4: bond side is scared to death about because they don't 82 00:04:18,880 --> 00:04:21,200 Speaker 4: want to see a fall to investment grade. Or they're 83 00:04:21,240 --> 00:04:24,039 Speaker 4: going to the equity side, which the equity guys don't 84 00:04:24,040 --> 00:04:26,839 Speaker 4: want to hear about, right, is there? That's called that's dilution, 85 00:04:27,960 --> 00:04:30,000 Speaker 4: you know, so I think again. Commentary was good around 86 00:04:30,040 --> 00:04:32,960 Speaker 4: deliveries and things like that, but a lot of variability coming, 87 00:04:33,040 --> 00:04:36,440 Speaker 4: you know here around this cash flow burn and it's 88 00:04:36,480 --> 00:04:37,240 Speaker 4: super important. 89 00:04:37,360 --> 00:04:39,120 Speaker 6: All right. George, thanks so much for joining us. We 90 00:04:39,160 --> 00:04:40,200 Speaker 6: appreciate it as always. 91 00:04:40,440 --> 00:04:44,160 Speaker 5: George Ferguson, Senior Aerospace, Defense and Airlines Anols Bloomberg Intelligence 92 00:04:44,680 --> 00:04:47,160 Speaker 5: from Princeton, New Jersey. 93 00:04:47,400 --> 00:04:51,279 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 94 00:04:51,360 --> 00:04:54,839 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 95 00:04:54,880 --> 00:04:58,040 Speaker 1: Auto with the Bloomberg Business. You can also listen live 96 00:04:58,160 --> 00:05:01,240 Speaker 1: on Amazon Alexa from our Flagshi New York station, Jo 97 00:05:01,400 --> 00:05:03,919 Speaker 1: Say Alexa playing Bloomberg eleven. 98 00:05:05,640 --> 00:05:07,840 Speaker 2: Alex still here alongside Paul Sweenia and John Tucker. This 99 00:05:07,880 --> 00:05:10,800 Speaker 2: is Bloomberg Intelligence Radio. We are broadcasting to you live 100 00:05:11,200 --> 00:05:14,680 Speaker 2: from our Interactive Broker studio right here in Midtown at Manhattan. 101 00:05:14,680 --> 00:05:17,480 Speaker 2: So it's fed day. Everyone's pumped for it. What is 102 00:05:17,560 --> 00:05:19,800 Speaker 2: Ja Powell gonna say? Are they going to signal September? 103 00:05:19,839 --> 00:05:21,919 Speaker 2: What is it gonna look like? We're gonna break it 104 00:05:21,960 --> 00:05:24,400 Speaker 2: all down? For you with Danielle de Martino, Booth's CEO 105 00:05:24,440 --> 00:05:27,279 Speaker 2: and chief strategist for QI Research. She joins us in 106 00:05:27,320 --> 00:05:29,479 Speaker 2: the radio studio right now, all right, Danielle, what do 107 00:05:29,480 --> 00:05:29,800 Speaker 2: you think? 108 00:05:30,880 --> 00:05:32,200 Speaker 3: Like, what are we gonna get? 109 00:05:32,720 --> 00:05:35,160 Speaker 7: I think we're gonna I'm actually gonna go with Anna 110 00:05:35,240 --> 00:05:37,839 Speaker 7: Wong's kind of take on where this is gonna go. 111 00:05:37,960 --> 00:05:40,160 Speaker 7: She and I are thinking in a similar act. We 112 00:05:40,160 --> 00:05:43,280 Speaker 7: get to meet in person tonight. But I think he's 113 00:05:43,320 --> 00:05:46,240 Speaker 7: still going to couch his dubbishness. I think he's going 114 00:05:46,279 --> 00:05:49,880 Speaker 7: to signal September. But I think he's gonna signal September softly. 115 00:05:50,680 --> 00:05:52,599 Speaker 3: What does that mean? Is he gonna whisper it? 116 00:05:52,680 --> 00:05:52,760 Speaker 5: Like? 117 00:05:52,760 --> 00:05:54,239 Speaker 3: What is that He's. 118 00:05:54,080 --> 00:05:56,400 Speaker 7: Still going to say that they're data dependent. He's still 119 00:05:56,440 --> 00:05:59,320 Speaker 7: going to say that there is the chance that there 120 00:05:59,360 --> 00:06:04,559 Speaker 7: is a reacceleration in the CPI in inflation metrics, base 121 00:06:04,600 --> 00:06:07,080 Speaker 7: effects kick in in the second half of this year. 122 00:06:07,160 --> 00:06:10,000 Speaker 7: That make it a little bit harder to see continued 123 00:06:10,040 --> 00:06:13,920 Speaker 7: declines in the inflation. On the other hand, you know, 124 00:06:14,000 --> 00:06:16,800 Speaker 7: looking at real time inflation metrics, a bunch of bond 125 00:06:16,839 --> 00:06:19,360 Speaker 7: traders a long time ago introduce me to true inflation 126 00:06:19,520 --> 00:06:24,160 Speaker 7: TRU and that hit one point five one percent today, 127 00:06:24,520 --> 00:06:27,920 Speaker 7: the lowest reading that we've had in the post pandemic era. 128 00:06:28,240 --> 00:06:30,599 Speaker 7: They gave me the raw data back to twenty twelve. 129 00:06:30,600 --> 00:06:34,520 Speaker 7: It's got a zero point ninety seven correlation with headline CPI. 130 00:06:35,000 --> 00:06:37,000 Speaker 7: We see where this is going to me at least. 131 00:06:37,040 --> 00:06:39,760 Speaker 7: I think the greatest risk, because there's this huge seven 132 00:06:39,800 --> 00:06:44,640 Speaker 7: week gulf in between today's meeting and September eighteenth, is 133 00:06:44,680 --> 00:06:46,159 Speaker 7: that there's a policy err in the making. 134 00:06:47,080 --> 00:06:48,880 Speaker 5: So you say the highest odds is that there is 135 00:06:48,920 --> 00:06:51,560 Speaker 5: a policy error. Is that another way of saying the 136 00:06:51,600 --> 00:06:53,719 Speaker 5: fits behind the curve They should have already been cutting. 137 00:06:54,240 --> 00:06:56,479 Speaker 7: I think that's what we're saying. I think that that's 138 00:06:56,520 --> 00:06:59,120 Speaker 7: what ADP is saying. I think that's what the Employment 139 00:06:59,160 --> 00:07:03,040 Speaker 7: Cost Index, the Fed's preferred measure of wage inflation, is saying, 140 00:07:03,080 --> 00:07:09,360 Speaker 7: we saw a big step down there. Intel Match, nerd Wallet. 141 00:07:09,400 --> 00:07:13,280 Speaker 7: Those are the three job cuts that were announced yesterday. 142 00:07:13,720 --> 00:07:16,760 Speaker 7: It seems as if most companies, when they're announcing earnings 143 00:07:17,160 --> 00:07:20,640 Speaker 7: are continuing to say until we see stronger revenue growth, 144 00:07:20,960 --> 00:07:26,040 Speaker 7: we're going to keep cutting headcount. So that's disinflationary. 145 00:07:26,360 --> 00:07:29,960 Speaker 2: So because you're here, I get ibs from people who 146 00:07:30,040 --> 00:07:34,200 Speaker 2: are listening to the show, Thank you so much, so well. 147 00:07:34,240 --> 00:07:35,920 Speaker 2: One of the questions is, and it goes back to 148 00:07:35,960 --> 00:07:38,320 Speaker 2: the bomb market and we're obviously seeing some steady buying 149 00:07:38,360 --> 00:07:41,760 Speaker 2: come in, particularly in the back end. Where do you 150 00:07:41,760 --> 00:07:43,640 Speaker 2: think we end the year when it comes to the tenure? 151 00:07:43,640 --> 00:07:46,400 Speaker 2: If we're treading right now at four point nine, we're 152 00:07:46,440 --> 00:07:48,760 Speaker 2: below all the moving averages, like we've had a healthy 153 00:07:48,760 --> 00:07:50,360 Speaker 2: move to the downside a yields. 154 00:07:50,640 --> 00:07:52,880 Speaker 7: We have, And we saw kind of this resistance at 155 00:07:52,880 --> 00:07:55,560 Speaker 7: four point one four in the tenure for some time, 156 00:07:56,360 --> 00:07:59,040 Speaker 7: and now we've broken below that and I think that 157 00:07:59,560 --> 00:08:01,600 Speaker 7: it's it's not a stretch to sit that there's going 158 00:08:01,680 --> 00:08:03,480 Speaker 7: to be a three handle. The question is is the 159 00:08:03,560 --> 00:08:06,560 Speaker 7: year end south of three point five percent on the tenure? 160 00:08:06,600 --> 00:08:09,920 Speaker 7: And again it's going to be a gauge of the 161 00:08:09,960 --> 00:08:13,800 Speaker 7: magnitude of the Fed's policy error. If they have to 162 00:08:13,840 --> 00:08:16,840 Speaker 7: come rushing in in September with a half percentage point 163 00:08:16,920 --> 00:08:20,600 Speaker 7: rate cut, that could easily spook the markets. 164 00:08:21,240 --> 00:08:24,640 Speaker 5: So what does the FED do when they start, So 165 00:08:24,680 --> 00:08:27,320 Speaker 5: let's still say they did they start in September, then 166 00:08:27,400 --> 00:08:29,720 Speaker 5: what did they do they do it every other That's. 167 00:08:29,520 --> 00:08:33,640 Speaker 7: A great question because we saw these kind of unusual pauses. 168 00:08:33,960 --> 00:08:34,800 Speaker 3: It's not normal to. 169 00:08:34,800 --> 00:08:38,040 Speaker 7: See pauses in a hiking or a cutting cycle, at 170 00:08:38,120 --> 00:08:39,200 Speaker 7: least in FED history. 171 00:08:39,320 --> 00:08:40,120 Speaker 6: Of course we're seeing it. 172 00:08:40,120 --> 00:08:43,880 Speaker 7: In other parts of the world. But history tells us 173 00:08:43,880 --> 00:08:46,400 Speaker 7: that once the Fed gets going, they keep going. And 174 00:08:46,440 --> 00:08:49,760 Speaker 7: that means two days after election. Right, the November FMC 175 00:08:49,920 --> 00:08:52,640 Speaker 7: is highly unusual. It's a Wednesday Thursday meeting, so that 176 00:08:52,640 --> 00:08:54,839 Speaker 7: they're not meeting on Tuesday. 177 00:08:54,360 --> 00:08:55,120 Speaker 8: Election day. 178 00:08:55,400 --> 00:08:58,720 Speaker 7: But it's very feasible that we see another rate cut 179 00:08:58,760 --> 00:08:59,839 Speaker 7: two days after the election. 180 00:09:00,480 --> 00:09:01,439 Speaker 3: What happens to the curve? 181 00:09:02,720 --> 00:09:04,600 Speaker 6: I we will. 182 00:09:04,400 --> 00:09:07,079 Speaker 7: Certainly it will be interesting to see if the curve 183 00:09:07,160 --> 00:09:12,160 Speaker 7: does not fully uninvert before the FED cuts rates, which 184 00:09:12,160 --> 00:09:13,599 Speaker 7: would be again unusual. 185 00:09:13,720 --> 00:09:16,160 Speaker 3: But we don't normally talk about rates are coming down. 186 00:09:16,600 --> 00:09:18,640 Speaker 7: Uh, it would be because they're all coming down. 187 00:09:18,840 --> 00:09:21,240 Speaker 2: Everything's coming down with the fronts coming down fast. Indeed, 188 00:09:21,280 --> 00:09:23,080 Speaker 2: even though it still had it's had a pretty chunky 189 00:09:23,120 --> 00:09:23,800 Speaker 2: move to begin with. 190 00:09:23,880 --> 00:09:25,319 Speaker 3: But still but. 191 00:09:25,320 --> 00:09:28,240 Speaker 7: Again, if you start to factor in, I remember when 192 00:09:28,240 --> 00:09:32,520 Speaker 7: they were raising rates that Powell said unusually large rate hikes. 193 00:09:32,520 --> 00:09:35,120 Speaker 7: That like took me back to the Princess Bride rodents 194 00:09:35,160 --> 00:09:38,640 Speaker 7: of unusually large size. But it'll be interesting to see 195 00:09:38,679 --> 00:09:41,080 Speaker 7: if we have unusually large rate cuts. 196 00:09:41,440 --> 00:09:43,800 Speaker 5: All right, Danielle, you did some time at the Dallas FED, 197 00:09:43,880 --> 00:09:44,520 Speaker 5: and I'm looking at. 198 00:09:44,480 --> 00:09:49,199 Speaker 7: Something sounds like I did like time at an instag time. 199 00:09:48,520 --> 00:09:49,520 Speaker 6: And now you're free. 200 00:09:50,040 --> 00:09:52,040 Speaker 5: You used to have something down there called the Dallas 201 00:09:52,160 --> 00:09:54,680 Speaker 5: FED Manufacturing Uncertainty Index. 202 00:09:55,240 --> 00:09:56,960 Speaker 6: That's pretty cool. What does it tell you? What are 203 00:09:57,000 --> 00:09:57,959 Speaker 6: some of the recent data telling me? 204 00:09:58,000 --> 00:09:58,160 Speaker 9: There? 205 00:09:58,440 --> 00:09:59,680 Speaker 6: You always come up with data sets that. 206 00:09:59,640 --> 00:10:06,280 Speaker 7: I've never We are seeing unprecedented levels of uncertainty. Hats 207 00:10:06,280 --> 00:10:08,600 Speaker 7: off to Emily Kerr and her team at the Dallas FED. 208 00:10:08,600 --> 00:10:11,720 Speaker 7: They introduced kind of a National Association of Credit Manager's 209 00:10:12,120 --> 00:10:15,080 Speaker 7: Index type of question in their most recent survey that 210 00:10:15,120 --> 00:10:18,040 Speaker 7: came out on Monday. People are not paying their bills. 211 00:10:18,840 --> 00:10:21,360 Speaker 7: I mean companies are not paying their bills and accounts 212 00:10:21,400 --> 00:10:24,439 Speaker 7: receivable are being stretched out. So there these are kind 213 00:10:24,480 --> 00:10:29,520 Speaker 7: of credit managers signs that hey, there's real distress and 214 00:10:29,600 --> 00:10:31,760 Speaker 7: it's harder to get credit, which we've been hearing right 215 00:10:31,760 --> 00:10:33,760 Speaker 7: from from smaller businesses especially. 216 00:10:34,600 --> 00:10:37,160 Speaker 2: Is it sector specific in what you're seeing or is 217 00:10:37,160 --> 00:10:39,040 Speaker 2: it just maybe like how big those companies are. 218 00:10:39,440 --> 00:10:42,360 Speaker 7: What was interesting about this, the introduction of these new 219 00:10:42,400 --> 00:10:46,240 Speaker 7: types of questions is that they ask manufacturers, servicers, and retailers, 220 00:10:46,440 --> 00:10:49,200 Speaker 7: and it was retailers that were seeing the greatest degree 221 00:10:49,240 --> 00:10:49,880 Speaker 7: of distress. 222 00:10:50,679 --> 00:10:52,640 Speaker 6: All right, So okay, remember. 223 00:10:52,400 --> 00:10:54,840 Speaker 7: This is the eighth largest economy in the world and 224 00:10:54,880 --> 00:10:57,320 Speaker 7: the eighth largest exporting exporting nation in the world. 225 00:10:57,320 --> 00:10:58,920 Speaker 6: Texas a Texandalone, it is. 226 00:11:00,080 --> 00:11:02,440 Speaker 2: And then to that point, like there's a huge amount 227 00:11:02,720 --> 00:11:05,280 Speaker 2: of products that get shipped out, right. 228 00:11:05,160 --> 00:11:09,240 Speaker 7: Like that's why it's the largest exporting nation, larger than California. 229 00:11:09,320 --> 00:11:12,439 Speaker 3: Yeah, and it has a huge like medical department. 230 00:11:12,440 --> 00:11:16,600 Speaker 7: Like we we you know, twenty thirty years ago you 231 00:11:16,600 --> 00:11:20,080 Speaker 7: could say that we were an energy centric economy in Texas. 232 00:11:20,160 --> 00:11:22,160 Speaker 7: That's no longer the case, very diversified. 233 00:11:22,760 --> 00:11:26,319 Speaker 5: But you're staying with us, right the United States? You guys, Yes, okay, good, 234 00:11:26,520 --> 00:11:28,119 Speaker 5: There is checking everyone. 235 00:11:27,920 --> 00:11:28,679 Speaker 3: That's not their grid. 236 00:11:28,840 --> 00:11:32,400 Speaker 7: There is secession talk, you know, wants a republic, but 237 00:11:32,960 --> 00:11:34,360 Speaker 7: I think we're staying with the country. 238 00:11:35,040 --> 00:11:37,640 Speaker 2: Is that data set though at all distorted by hurricanes 239 00:11:37,640 --> 00:11:40,120 Speaker 2: et cetera that you saw, No? 240 00:11:40,200 --> 00:11:42,400 Speaker 7: Actually actually no. And that was again what was so 241 00:11:42,480 --> 00:11:46,040 Speaker 7: fascinating was that it was so broad based across service, 242 00:11:46,600 --> 00:11:50,280 Speaker 7: across the service sector, across across the manufacturing sector, and 243 00:11:50,360 --> 00:11:53,800 Speaker 7: across the retail sector, and again that they do some 244 00:11:54,040 --> 00:11:56,960 Speaker 7: really really good research as well, that that front runs 245 00:11:57,000 --> 00:12:00,400 Speaker 7: the Senior Loan Officer Survey on a national level, and 246 00:12:00,400 --> 00:12:03,040 Speaker 7: that's also showing that it's very difficult to access credit 247 00:12:03,120 --> 00:12:03,520 Speaker 7: right now. 248 00:12:04,280 --> 00:12:06,680 Speaker 6: You believe we're actually in a recession? Is that correct? 249 00:12:06,840 --> 00:12:07,040 Speaker 10: I do? 250 00:12:07,520 --> 00:12:10,520 Speaker 7: I do, and Anna Wanta actually kind of agree. She 251 00:12:10,640 --> 00:12:16,120 Speaker 7: also thinks that net job cuts began last October. What's 252 00:12:16,120 --> 00:12:19,360 Speaker 7: fascinating is that when we got the revision out last 253 00:12:19,400 --> 00:12:22,160 Speaker 7: week from the Buer of Labor Statistics, it's said, in 254 00:12:22,200 --> 00:12:25,880 Speaker 7: its assumption about business deaths, we know what business births 255 00:12:26,080 --> 00:12:29,400 Speaker 7: were with the birth death adjustment, we still have yet 256 00:12:29,440 --> 00:12:33,719 Speaker 7: to have them report business debts. Their assumption was that 257 00:12:33,800 --> 00:12:39,160 Speaker 7: small businesses became additive, that fewer small businesses died in 258 00:12:39,200 --> 00:12:43,760 Speaker 7: the fourth quarter, when actually we saw small business closings 259 00:12:44,120 --> 00:12:46,920 Speaker 7: rise appreciably from the third to the fourth quarter. The 260 00:12:47,000 --> 00:12:48,880 Speaker 7: risk is the reason I'm going into these details. The 261 00:12:49,000 --> 00:12:52,640 Speaker 7: risk is that we see a second quarter of negative 262 00:12:53,600 --> 00:12:58,120 Speaker 7: of negativity in job creation, job net job losses. If 263 00:12:58,160 --> 00:12:59,839 Speaker 7: you see that for six months, because the bearer of 264 00:13:00,720 --> 00:13:03,200 Speaker 7: has already said we lost one hundred and ninety two 265 00:13:03,240 --> 00:13:05,440 Speaker 7: thousand jobs in the third quarter of twenty twenty three. 266 00:13:05,640 --> 00:13:08,600 Speaker 7: If that stretches to being six months in a row, 267 00:13:09,040 --> 00:13:12,760 Speaker 7: the National Bureau of Economic Research, the Business Cycle Dating Committee, 268 00:13:12,800 --> 00:13:14,720 Speaker 7: they're going to have a hard time saying six months 269 00:13:14,760 --> 00:13:17,320 Speaker 7: of job losses doesn't constitute recession. 270 00:13:17,440 --> 00:13:19,240 Speaker 2: So when we get the jobs number on Friday, how 271 00:13:19,240 --> 00:13:21,199 Speaker 2: do I look at that number then? Because obviously, like 272 00:13:21,240 --> 00:13:23,160 Speaker 2: the headline print is going to be up right, but 273 00:13:23,200 --> 00:13:25,599 Speaker 2: you're saying that on a net basis, like what am I? 274 00:13:25,679 --> 00:13:26,840 Speaker 3: What's not going out again? 275 00:13:26,880 --> 00:13:30,200 Speaker 7: I mean, Powell said it himself at the last FMC 276 00:13:30,760 --> 00:13:34,400 Speaker 7: that payrolls are overstated. And if you get a number 277 00:13:34,440 --> 00:13:37,960 Speaker 7: that was originally four hundred and ninety four thousand after 278 00:13:38,120 --> 00:13:41,080 Speaker 7: the revisions that we hear from the BLS, but after 279 00:13:41,120 --> 00:13:43,880 Speaker 7: the census comes in and gives us actual headcounts from companies, 280 00:13:43,920 --> 00:13:45,480 Speaker 7: and that four hundred and ninety four with a plus 281 00:13:45,520 --> 00:13:47,839 Speaker 7: sign in front of it turns into negative one hundred 282 00:13:47,840 --> 00:13:52,080 Speaker 7: and ninety two thousand. That's it's a significant amount of 283 00:13:52,160 --> 00:13:55,320 Speaker 7: download divisions, which my mentor at the Dallas Fed told me, 284 00:13:55,360 --> 00:13:58,120 Speaker 7: you always see at inflection points. 285 00:13:58,360 --> 00:14:00,760 Speaker 6: How long do you think this recession will be? 286 00:14:00,760 --> 00:14:03,679 Speaker 5: Because it feels like it's almost a bifurcated economy. A 287 00:14:03,679 --> 00:14:05,280 Speaker 5: lot of folks will say, I'm not feeling anything. 288 00:14:05,320 --> 00:14:07,160 Speaker 7: I know, we have a super I mean it's like 289 00:14:07,240 --> 00:14:10,400 Speaker 7: super K Yes, super K shaped economy. Okay, I mean, 290 00:14:10,679 --> 00:14:12,840 Speaker 7: think about how many people at the top of the 291 00:14:12,880 --> 00:14:15,439 Speaker 7: k or feeling the benefits of having gotten five and 292 00:14:15,440 --> 00:14:18,800 Speaker 7: a half percent on their cash for this long and 293 00:14:18,880 --> 00:14:21,920 Speaker 7: yet we're hearing that inflation is becoming more problematic for 294 00:14:22,000 --> 00:14:23,920 Speaker 7: the lower income earners. And what that is a sign 295 00:14:24,040 --> 00:14:26,200 Speaker 7: up is again what we saw with the employment cost 296 00:14:26,240 --> 00:14:29,520 Speaker 7: Index today. It's that wages are increasingly not keeping up 297 00:14:29,520 --> 00:14:30,360 Speaker 7: with the cost of living. 298 00:14:30,440 --> 00:14:33,160 Speaker 2: So it's not just the FED today, you know, most 299 00:14:33,160 --> 00:14:36,000 Speaker 2: of the Fed. But we got the BOJ finally hiking rates. Indeed, 300 00:14:36,520 --> 00:14:39,560 Speaker 2: the press are looking back to totally we get the 301 00:14:39,560 --> 00:14:40,600 Speaker 2: BOE tomorrow. 302 00:14:40,760 --> 00:14:43,000 Speaker 3: The ECB's already delivered one cut. 303 00:14:43,640 --> 00:14:46,880 Speaker 2: Do you think that how do you think that cycle 304 00:14:46,920 --> 00:14:49,480 Speaker 2: will all play out in terms of I mean, the 305 00:14:49,520 --> 00:14:51,440 Speaker 2: majority of them are cutting, right, but they're gonna cut 306 00:14:51,480 --> 00:14:53,920 Speaker 2: differently in a different times and the boj's hiking. 307 00:14:53,960 --> 00:14:55,560 Speaker 3: Has this all play out? 308 00:14:55,760 --> 00:14:58,000 Speaker 7: You know, it's interesting that you bring this up because 309 00:14:58,400 --> 00:15:01,680 Speaker 7: there is so much disparity, right now across the pond, 310 00:15:02,040 --> 00:15:04,520 Speaker 7: we unexpectedly saw Germany fall back into recession a few 311 00:15:04,600 --> 00:15:07,440 Speaker 7: days ago. Nobody was expecting that. You know, they're the 312 00:15:07,800 --> 00:15:10,640 Speaker 7: speaking of exporting nations, the other world's third largest export 313 00:15:11,040 --> 00:15:14,920 Speaker 7: and it's a reflection of China exactly. So the breadth 314 00:15:15,200 --> 00:15:19,200 Speaker 7: of the global recession. When you say, okay, Asia's in recession, Okay, 315 00:15:19,240 --> 00:15:21,720 Speaker 7: Germany's in recession, Okay, the United States is in recession. 316 00:15:22,200 --> 00:15:27,360 Speaker 7: That changes how aggressively each individual central bank can behave. 317 00:15:27,720 --> 00:15:31,320 Speaker 7: And when the FED finally does go on September the eighteenth, 318 00:15:31,960 --> 00:15:33,200 Speaker 7: then the rest of the world will end. 319 00:15:33,200 --> 00:15:35,400 Speaker 6: Up falling in line. Daniel thank you so much for 320 00:15:35,480 --> 00:15:36,560 Speaker 6: joining us. Really appreciate it. 321 00:15:36,600 --> 00:15:38,920 Speaker 5: As always, Danielle di Martino Booth for a little bit 322 00:15:38,920 --> 00:15:41,600 Speaker 5: extended period here on FED Day. She is the CEO 323 00:15:41,960 --> 00:15:45,240 Speaker 5: and chief strategistic QI Research based in Dallas, Texas, but 324 00:15:45,280 --> 00:15:47,040 Speaker 5: we got her here in our Bloomberg and nar Actor 325 00:15:47,040 --> 00:15:50,440 Speaker 5: Brokers studio today. My stat was, you know, Texas eighth 326 00:15:50,480 --> 00:15:52,440 Speaker 5: largest exporting and comment's pretty cool. 327 00:15:52,360 --> 00:15:53,360 Speaker 3: Yeah, really really cool. 328 00:15:53,800 --> 00:15:55,880 Speaker 2: And that's not even counting I mean, Louisiana also is 329 00:15:55,960 --> 00:15:58,280 Speaker 2: exporting facilities, but that's not counting all the new facilities 330 00:15:58,320 --> 00:15:59,160 Speaker 2: that trying and build too. 331 00:15:59,160 --> 00:16:02,160 Speaker 3: In terms of exports and stuff. Obviously I'm talking Allen. 332 00:16:02,000 --> 00:16:04,800 Speaker 2: G and oil exports. But still, oh, no surprise, sir Shacker. 333 00:16:04,840 --> 00:16:06,200 Speaker 2: I know that's surprising to Paul's. 334 00:16:05,960 --> 00:16:11,040 Speaker 1: We need you're listening to the Bloomberg Intelligence Podcast. 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All right, Kamala Harris has wiped out 344 00:16:34,320 --> 00:16:37,640 Speaker 5: Donald Trump's lead across seven battleground states as the vice 345 00:16:37,640 --> 00:16:41,320 Speaker 5: president rides a wave of enthusiasm young, young Black and 346 00:16:41,400 --> 00:16:44,960 Speaker 5: Hispanic voters. That's according to the latest Bloomberg News Morning 347 00:16:45,000 --> 00:16:47,560 Speaker 5: Console holds some pretty big news there for on the 348 00:16:47,560 --> 00:16:49,720 Speaker 5: political front. Here, let's check you in with Lard Davison, 349 00:16:49,760 --> 00:16:53,680 Speaker 5: Bloomberg Politics editor. She joins us here via zoom Laura. 350 00:16:53,720 --> 00:16:56,280 Speaker 5: This seems like a pretty good start in terms of 351 00:16:56,400 --> 00:16:59,040 Speaker 5: momentum for Vice President Kamala Harris. 352 00:16:59,400 --> 00:17:01,360 Speaker 6: What are some of the key takeaways from this pole? 353 00:17:02,240 --> 00:17:05,680 Speaker 10: Yeah, so this pole we've been doing since last October 354 00:17:05,720 --> 00:17:07,719 Speaker 10: in all of the seven swing states that are expected 355 00:17:07,760 --> 00:17:10,600 Speaker 10: to decide the election, and this is the best that 356 00:17:10,680 --> 00:17:13,120 Speaker 10: the Democratic challenger to Trump has ever done. 357 00:17:13,160 --> 00:17:14,200 Speaker 3: You know, this is the first time we. 358 00:17:14,160 --> 00:17:15,000 Speaker 6: Have polled Harris. 359 00:17:15,720 --> 00:17:18,360 Speaker 10: It's a statistical tie essentially between the two candidates. She's 360 00:17:18,400 --> 00:17:21,080 Speaker 10: technically up one percentage point, but that's within the margin 361 00:17:21,119 --> 00:17:24,840 Speaker 10: of air. The other key takeaway here is that black voters, 362 00:17:24,880 --> 00:17:27,760 Speaker 10: young voters, Hispanic voters are much more likely to vote 363 00:17:28,160 --> 00:17:29,919 Speaker 10: now that Harris is on the ticket. So this is, 364 00:17:30,359 --> 00:17:32,520 Speaker 10: you know, been something that that the Trump campaign has 365 00:17:32,560 --> 00:17:35,080 Speaker 10: created their strategy around of trying to get you know, 366 00:17:35,119 --> 00:17:38,040 Speaker 10: pull away at the margins and black voters some Hispanic support. 367 00:17:38,520 --> 00:17:40,639 Speaker 10: But this would indicate that perhaps the tides are shifting 368 00:17:40,680 --> 00:17:42,040 Speaker 10: in Harris's favor on that front. 369 00:17:42,119 --> 00:17:43,520 Speaker 2: Well, that was sort of one of my questions too. 370 00:17:43,560 --> 00:17:46,520 Speaker 2: Are these voters that are switching or are they new 371 00:17:46,600 --> 00:17:48,320 Speaker 2: voters that are swinging these polls. 372 00:17:49,200 --> 00:17:52,000 Speaker 10: So we don't yet know totally what that is based 373 00:17:52,040 --> 00:17:54,520 Speaker 10: on how the poll works, but what we see is 374 00:17:54,520 --> 00:17:56,520 Speaker 10: that voters who are unsure if they're going to vote, 375 00:17:56,560 --> 00:17:58,640 Speaker 10: are now saying they're much more likely that they're going 376 00:17:58,640 --> 00:18:00,639 Speaker 10: to vote. So these may be people who voted in 377 00:18:00,680 --> 00:18:03,160 Speaker 10: twenty who were not enthused by either candidate, who are 378 00:18:03,200 --> 00:18:04,800 Speaker 10: going to stay at home, or people who maybe have 379 00:18:04,880 --> 00:18:09,400 Speaker 10: never voted. But you know, a turnout election is expected 380 00:18:09,440 --> 00:18:12,520 Speaker 10: to help Harris on this front versus Trump. You know, 381 00:18:12,560 --> 00:18:14,760 Speaker 10: the Trump folks were you know, sort of hoping to 382 00:18:14,800 --> 00:18:18,560 Speaker 10: pull away, particularly black men, Hispanic men. But you know, 383 00:18:18,600 --> 00:18:20,879 Speaker 10: we're not hoping to see a big surgeon turnout that 384 00:18:20,960 --> 00:18:23,880 Speaker 10: you know, really helped Biden in twenty twenty and could 385 00:18:23,920 --> 00:18:25,439 Speaker 10: potentially help Harris in twenty four. 386 00:18:25,880 --> 00:18:28,199 Speaker 5: Or you know, as a former Wall Street person, I 387 00:18:28,240 --> 00:18:32,200 Speaker 5: tend to follow the money. And Vice President Kamala Harris 388 00:18:32,200 --> 00:18:34,000 Speaker 5: has had a pretty good run here in the last 389 00:18:34,200 --> 00:18:36,280 Speaker 5: week or so raising money. Do we know where that 390 00:18:36,280 --> 00:18:37,320 Speaker 5: money's coming from. 391 00:18:37,840 --> 00:18:39,960 Speaker 10: Yeah, so, her campaign says they've raised about two hundred 392 00:18:40,000 --> 00:18:41,800 Speaker 10: million dollars and that's in the first week or so 393 00:18:41,960 --> 00:18:45,280 Speaker 10: of the campaign. This is largely from small dollar donors. 394 00:18:45,359 --> 00:18:47,320 Speaker 10: These are people who are going and giving online and 395 00:18:47,359 --> 00:18:49,280 Speaker 10: you know, increments of you know, anywhere from you know, 396 00:18:49,320 --> 00:18:50,760 Speaker 10: just a couple of dollars to you know, up to 397 00:18:50,840 --> 00:18:54,120 Speaker 10: a couple thousand dollars. We've also know that her super pac, 398 00:18:54,200 --> 00:18:56,879 Speaker 10: this is the group that can accept money and unlimited amounts, 399 00:18:56,880 --> 00:18:59,720 Speaker 10: has gotten one hundred and fifty million in commitments since 400 00:18:59,720 --> 00:19:02,800 Speaker 10: By has dropped out of the race. These big dollar donors, 401 00:19:02,800 --> 00:19:05,679 Speaker 10: people who give millions of dollars, had decided to withhold 402 00:19:05,680 --> 00:19:07,560 Speaker 10: a bunch of contributions, you know, in order to sort 403 00:19:07,600 --> 00:19:10,280 Speaker 10: of pressure Biden to get off of the ticket. So 404 00:19:10,320 --> 00:19:12,240 Speaker 10: now that money is coming back into the fore just 405 00:19:12,280 --> 00:19:14,240 Speaker 10: for you know, kind of some in comparison here of 406 00:19:14,359 --> 00:19:18,240 Speaker 10: Harris when she inhibit inherited the Biden campaign accounts that 407 00:19:18,240 --> 00:19:20,560 Speaker 10: had about one hundred million dollars. Since then, she's raised 408 00:19:20,560 --> 00:19:22,920 Speaker 10: another two hundred million dollars. So these are really big sums. 409 00:19:23,240 --> 00:19:25,840 Speaker 2: How much of this could be also attributed just to momentum, 410 00:19:25,920 --> 00:19:28,920 Speaker 2: as in, when you have the RNC, the candidate gets 411 00:19:28,920 --> 00:19:30,919 Speaker 2: a boost, the DNC provides a boost. This is an 412 00:19:31,000 --> 00:19:34,959 Speaker 2: unprecedented moment in political history, so no doubt the candidate 413 00:19:35,000 --> 00:19:35,679 Speaker 2: would get a boosted. 414 00:19:36,320 --> 00:19:38,400 Speaker 10: Yes, and the timing year is all really interesting because 415 00:19:38,440 --> 00:19:40,800 Speaker 10: of course Biden just dropped out two days after the RNC, 416 00:19:41,000 --> 00:19:43,080 Speaker 10: So Trump was expecting to see a big polling boost 417 00:19:43,119 --> 00:19:45,000 Speaker 10: coming out of that. Of course, just a week prior 418 00:19:45,040 --> 00:19:48,440 Speaker 10: that had been the assassination attempt leaving the RNC. Republicans 419 00:19:48,440 --> 00:19:51,400 Speaker 10: were very confident about their chances, and you know, even 420 00:19:51,440 --> 00:19:53,800 Speaker 10: Republican operatives were saying one of the things they needed 421 00:19:53,800 --> 00:19:56,440 Speaker 10: to be conscious of is that they weren't over confident. 422 00:19:56,480 --> 00:19:58,320 Speaker 10: Of course, that all switched, you know, just a couple 423 00:19:58,359 --> 00:20:00,880 Speaker 10: of days later. What the Trump team is saying is, look, 424 00:20:00,920 --> 00:20:03,440 Speaker 10: this is a Harris honeymoon. This is a surgeon momentum 425 00:20:03,840 --> 00:20:05,480 Speaker 10: that will just be a flash in the pan and 426 00:20:05,520 --> 00:20:08,359 Speaker 10: won't last until November. That's really what what we'll be 427 00:20:08,400 --> 00:20:09,840 Speaker 10: looking for in the next couple weeks. If you know, 428 00:20:09,920 --> 00:20:12,560 Speaker 10: is she able to maintain both this fundraising edge as 429 00:20:12,600 --> 00:20:14,760 Speaker 10: well as his polling edge, or do we revert to 430 00:20:14,800 --> 00:20:17,159 Speaker 10: where you know, the Biden Trump race was just with 431 00:20:17,200 --> 00:20:18,760 Speaker 10: Harris on the ticket in a couple of weeks. 432 00:20:19,240 --> 00:20:20,080 Speaker 6: How about debates? 433 00:20:20,440 --> 00:20:24,359 Speaker 5: Are Biden, I'm sorry, Kamala Harris and mister Trump are 434 00:20:24,359 --> 00:20:24,920 Speaker 5: they get a debate? 435 00:20:24,920 --> 00:20:26,399 Speaker 6: And if so, when and how many times? 436 00:20:27,280 --> 00:20:29,959 Speaker 10: This is a really big question. So Trump and Biden 437 00:20:30,000 --> 00:20:32,679 Speaker 10: had agreed to a second debate on September tenth, that 438 00:20:32,720 --> 00:20:35,359 Speaker 10: was on ABC News. It's very unclear if that is 439 00:20:35,359 --> 00:20:37,239 Speaker 10: going to happen. Harris has said she wants to do it. 440 00:20:37,440 --> 00:20:39,919 Speaker 10: Trump has, you know, suggested that he probably will end 441 00:20:40,000 --> 00:20:42,080 Speaker 10: up debating her, but has thrown a couple wrenches in 442 00:20:42,200 --> 00:20:44,360 Speaker 10: the system. He says he doesn't really like ABC's called 443 00:20:44,359 --> 00:20:46,879 Speaker 10: them fake news and said he'd prefer someone like Fox 444 00:20:46,920 --> 00:20:49,040 Speaker 10: News to host debate. He's also said he doesn't need 445 00:20:49,160 --> 00:20:51,479 Speaker 10: to debate because he's already well known and people knows 446 00:20:51,520 --> 00:20:53,320 Speaker 10: what he stands for, and he doesn't, you know, feel 447 00:20:53,359 --> 00:20:55,119 Speaker 10: a need to do this. This is going to be 448 00:20:55,160 --> 00:20:57,600 Speaker 10: an ongoing negotiation. There's also the question of what there'll 449 00:20:57,640 --> 00:21:00,240 Speaker 10: be a VP debate. Trump and Biden had all also 450 00:21:00,280 --> 00:21:02,560 Speaker 10: agreed to do one, you know, before the switch up 451 00:21:02,600 --> 00:21:04,520 Speaker 10: and the race. You know, Harris is still in the 452 00:21:04,520 --> 00:21:06,359 Speaker 10: process of naming her VP, so we may hear more 453 00:21:06,400 --> 00:21:07,560 Speaker 10: about that in the coming weeks. 454 00:21:08,440 --> 00:21:11,600 Speaker 2: What do we make about the situation in Israel and 455 00:21:11,640 --> 00:21:15,960 Speaker 2: how that polls, how that is polling for Kamala. 456 00:21:15,600 --> 00:21:18,480 Speaker 3: Harris, because clearly there's a huge section. 457 00:21:18,240 --> 00:21:20,600 Speaker 2: Of voters that is very unhappy of what's happening in 458 00:21:20,600 --> 00:21:23,800 Speaker 2: Gaza right that we're maybe not voting in all for 459 00:21:23,960 --> 00:21:27,359 Speaker 2: President Biden, but are they coming back in now? 460 00:21:27,400 --> 00:21:29,000 Speaker 3: Do we know anything along those lines. 461 00:21:29,640 --> 00:21:30,320 Speaker 6: Yeah, So, what this. 462 00:21:30,280 --> 00:21:32,360 Speaker 10: Poll shows is that people who are very concerned about 463 00:21:32,400 --> 00:21:35,400 Speaker 10: the Israel Gaza war, and particularly young voters for whom 464 00:21:35,400 --> 00:21:37,800 Speaker 10: this is a bigger issue, are more likely to vote 465 00:21:37,800 --> 00:21:40,960 Speaker 10: for Harris. She's taken a softer tone on this. She's 466 00:21:41,000 --> 00:21:44,639 Speaker 10: been more sympathetic to the human humanitarian situation in Palestine, 467 00:21:44,680 --> 00:21:46,560 Speaker 10: and is you know, just doesn't have quite the same 468 00:21:46,600 --> 00:21:48,200 Speaker 10: negatives on this issue that Biden does. 469 00:21:48,800 --> 00:21:48,960 Speaker 6: You know. 470 00:21:49,000 --> 00:21:50,560 Speaker 10: One of the things, you know, particularly just with the 471 00:21:50,800 --> 00:21:52,760 Speaker 10: you know, events of the of late of you know, 472 00:21:52,840 --> 00:21:54,960 Speaker 10: kind of there being more unrest in the Middle East, 473 00:21:55,720 --> 00:21:58,280 Speaker 10: is you know that the Biden administration is still pushing 474 00:21:58,280 --> 00:22:00,520 Speaker 10: for a ceasefire. Harris is still pushing for a he's fire. 475 00:22:00,720 --> 00:22:03,119 Speaker 10: Democrats really want this to be an issue that is 476 00:22:03,160 --> 00:22:06,240 Speaker 10: working towards a resolution versus, you know, an issue that's 477 00:22:06,280 --> 00:22:08,800 Speaker 10: flaring up, particularly as students go back to college campuses 478 00:22:08,840 --> 00:22:10,520 Speaker 10: in a couple of weeks. They don't want to see 479 00:22:10,520 --> 00:22:11,840 Speaker 10: the protests that we saw last spring. 480 00:22:12,480 --> 00:22:15,320 Speaker 5: Did the Republicans have Buyer's remorse for JD Vance. I'm 481 00:22:15,359 --> 00:22:17,520 Speaker 5: seeing some reporting all along those lines. 482 00:22:18,400 --> 00:22:20,600 Speaker 10: Yes, there's there's a lot of conversations on that, even 483 00:22:20,600 --> 00:22:22,920 Speaker 10: on a Bloomberg television mc mulvaney, who's a Trump ally, 484 00:22:22,960 --> 00:22:25,280 Speaker 10: came on earlier this week and said, no, they're not 485 00:22:25,320 --> 00:22:26,880 Speaker 10: looking to replace JD. 486 00:22:27,000 --> 00:22:27,280 Speaker 3: Vance. 487 00:22:27,320 --> 00:22:29,399 Speaker 10: But of course if you're being asked about this, this 488 00:22:29,480 --> 00:22:32,119 Speaker 10: means that this is at least a conversation that is circulating. 489 00:22:32,640 --> 00:22:34,719 Speaker 10: You know, Dvance has had a rough rollout, you know, 490 00:22:34,760 --> 00:22:36,639 Speaker 10: just in about the you know, two weeks or so 491 00:22:36,720 --> 00:22:39,600 Speaker 10: that he's been on the ticket. You know, some past 492 00:22:39,600 --> 00:22:43,760 Speaker 10: comments he's made, you know, sort of degrading childless cat 493 00:22:43,840 --> 00:22:46,600 Speaker 10: ladies have come up. He has had had some jokes 494 00:22:46,600 --> 00:22:48,480 Speaker 10: on the campaign trail that have come across as crass 495 00:22:48,480 --> 00:22:51,360 Speaker 10: and haven't really landed. So this is a conversation that's 496 00:22:51,359 --> 00:22:55,399 Speaker 10: happening on the upon those sort of Republican you know, elite, 497 00:22:55,480 --> 00:22:58,399 Speaker 10: the mainstream Republican class, but isn't really reaching the Trump campaign. 498 00:22:58,480 --> 00:23:00,879 Speaker 10: They have continued to say JD is our guy and 499 00:23:00,920 --> 00:23:01,880 Speaker 10: we're going to stick by him. 500 00:23:02,880 --> 00:23:06,000 Speaker 2: Is there an equivalent for single cat ladies for single men? 501 00:23:06,400 --> 00:23:06,480 Speaker 7: Like? 502 00:23:06,560 --> 00:23:07,960 Speaker 3: Is that single men dog owners? 503 00:23:07,960 --> 00:23:08,040 Speaker 9: Like? 504 00:23:08,240 --> 00:23:11,119 Speaker 2: I'm actually I'm not trying to be funny. I'm genuinely 505 00:23:11,160 --> 00:23:12,760 Speaker 2: curious bachelors. 506 00:23:13,080 --> 00:23:14,879 Speaker 6: But that's that's a whole different. 507 00:23:14,680 --> 00:23:16,520 Speaker 3: But that's okay, Like that's a different vibe. 508 00:23:17,240 --> 00:23:18,960 Speaker 2: But like if you're forty five and you have a 509 00:23:19,000 --> 00:23:21,960 Speaker 2: dog and then live at home and not married, that's 510 00:23:21,960 --> 00:23:22,520 Speaker 2: still funny. 511 00:23:22,520 --> 00:23:25,240 Speaker 10: Maybe a gamer would be the equivalent a gamer. 512 00:23:25,320 --> 00:23:29,360 Speaker 2: Okay, okay, so childless cat ladies versus gamers. It gets complicated, 513 00:23:29,400 --> 00:23:31,399 Speaker 2: all right, Okay, Hey, Laurd, thanks lot, We really appreciate it. 514 00:23:31,400 --> 00:23:33,960 Speaker 2: The poll was really interesting to kind of comb through there. 515 00:23:34,160 --> 00:23:37,439 Speaker 2: Lord Davison, a political editor for Bloomberg News joining us 516 00:23:37,520 --> 00:23:41,240 Speaker 2: from Washington, d C. They also made the great point 517 00:23:41,240 --> 00:23:43,560 Speaker 2: in the article that a lot of what President Trump 518 00:23:43,680 --> 00:23:47,040 Speaker 2: is very good at is putting down opponents. But having 519 00:23:47,160 --> 00:23:50,280 Speaker 2: that with Kamala Harris is very difficult when you're also 520 00:23:50,320 --> 00:23:52,600 Speaker 2: trying to draw over women and you're trying to draw 521 00:23:52,680 --> 00:23:53,760 Speaker 2: over African Americans. 522 00:23:53,840 --> 00:23:54,680 Speaker 6: Yep, tough one. 523 00:23:54,720 --> 00:23:59,000 Speaker 5: And I don't remember growing up that Swing States literally 524 00:23:59,240 --> 00:24:00,359 Speaker 5: decided election. 525 00:24:00,440 --> 00:24:02,960 Speaker 6: You don't even go to the other found the same thing. 526 00:24:03,119 --> 00:24:06,320 Speaker 6: But it's back in the day. I thought California manored 527 00:24:06,320 --> 00:24:08,320 Speaker 6: New York manor Texas. I mean, now, if you're not 528 00:24:08,359 --> 00:24:11,000 Speaker 6: in those swing states. You're not going to see the candidates. 529 00:24:11,040 --> 00:24:12,639 Speaker 2: I don't think yeah, which is also interesting when you 530 00:24:12,640 --> 00:24:15,560 Speaker 2: talk about the VP and sort of obviously Peepoota Jeedge 531 00:24:15,600 --> 00:24:18,320 Speaker 2: has the most exposure because he's already in the White House. 532 00:24:18,359 --> 00:24:19,360 Speaker 3: But that was interesting. 533 00:24:20,880 --> 00:24:24,800 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 534 00:24:24,880 --> 00:24:27,920 Speaker 1: weekdays at ten am Eastern on Apple card Play and 535 00:24:27,920 --> 00:24:31,200 Speaker 1: Android Otto with the Bloomberg Business. You can also listen 536 00:24:31,320 --> 00:24:34,400 Speaker 1: live on Amazon Alexa from our flagship New York station 537 00:24:34,760 --> 00:24:38,480 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 538 00:24:39,200 --> 00:24:41,080 Speaker 5: It is FED Day. We will hear from the feed 539 00:24:41,080 --> 00:24:43,840 Speaker 5: at two o'clock. Press conference of two thirty. Bloomberg's coverage 540 00:24:43,880 --> 00:24:47,880 Speaker 5: begins at one thirty. Tom Keen, Lisa A. Bromwitz, John 541 00:24:47,880 --> 00:24:50,239 Speaker 5: Farrell Bring it to you. Jeffrey Cleveland joins us here. 542 00:24:50,240 --> 00:24:53,280 Speaker 5: He's a chief economist a Payden and Regal joining us 543 00:24:53,440 --> 00:24:54,119 Speaker 5: via La. 544 00:24:54,320 --> 00:24:56,440 Speaker 6: Via that Zoom technology thing. 545 00:24:57,040 --> 00:24:58,800 Speaker 5: Jeff, what do you expect from the Federal Reserve today? 546 00:24:58,800 --> 00:25:01,000 Speaker 5: A lot of folks are saying attention to maybe the 547 00:25:01,040 --> 00:25:03,359 Speaker 5: tone as it relates to September. 548 00:25:03,400 --> 00:25:04,120 Speaker 6: What are you looking for? 549 00:25:05,480 --> 00:25:08,560 Speaker 11: Well, Paul, Happy fed Day, beautiful day here in Los Angeles. 550 00:25:08,680 --> 00:25:11,760 Speaker 3: So excited this guy, I know, yeah, I think. 551 00:25:11,600 --> 00:25:13,840 Speaker 11: This is a great day for the Fed to set 552 00:25:13,920 --> 00:25:17,920 Speaker 11: up for a potential cut in September. They don't need 553 00:25:17,960 --> 00:25:21,120 Speaker 11: to rush into anything, though. I don't think there's an 554 00:25:21,240 --> 00:25:25,119 Speaker 11: urgent need to rush rates. We saw very to cut rates. 555 00:25:25,280 --> 00:25:28,040 Speaker 11: We saw very strong second quarter growth. I think the 556 00:25:28,119 --> 00:25:30,720 Speaker 11: labor market is still doing pretty well, so there's no 557 00:25:30,880 --> 00:25:35,119 Speaker 11: urgent need. But you know, if inflation continues to cool 558 00:25:35,520 --> 00:25:38,360 Speaker 11: like we saw in the PCEE data for the month 559 00:25:38,359 --> 00:25:41,640 Speaker 11: of June, then it's possible by September we will get 560 00:25:41,640 --> 00:25:43,760 Speaker 11: a rate cut. So I think, you know, setting up 561 00:25:43,760 --> 00:25:48,440 Speaker 11: that possibility, keeping their options open, and then maybe pushing 562 00:25:48,480 --> 00:25:51,600 Speaker 11: back a little bit on market expectations if you earlier 563 00:25:51,680 --> 00:25:53,600 Speaker 11: this week, I looked through the end of next year, 564 00:25:53,640 --> 00:25:56,680 Speaker 11: so the end of twenty twenty five, and there were 565 00:25:56,720 --> 00:26:01,360 Speaker 11: around seven cuts price did. So that's that's more than 566 00:26:01,359 --> 00:26:04,400 Speaker 11: a fine tuning operation. That would be you know, more 567 00:26:04,440 --> 00:26:05,920 Speaker 11: of a rate I would. 568 00:26:05,720 --> 00:26:06,920 Speaker 8: Call slashing operation. 569 00:26:07,160 --> 00:26:10,800 Speaker 11: So maybe pushing back against the longer term price. 570 00:26:10,920 --> 00:26:13,000 Speaker 2: Well to that point, I mean, the two year yield 571 00:26:13,680 --> 00:26:17,720 Speaker 2: is down forty basis points for this month, a huge move, 572 00:26:17,760 --> 00:26:20,000 Speaker 2: and I'm betting that a lot of that happened after 573 00:26:20,080 --> 00:26:22,439 Speaker 2: July eleventh, was when we got that CPI number. 574 00:26:22,720 --> 00:26:23,680 Speaker 3: So if J. 575 00:26:23,880 --> 00:26:26,439 Speaker 2: Powells sort of becomes a little bit more balanced or 576 00:26:26,600 --> 00:26:30,040 Speaker 2: tries to have a message that's more balanced, here, what's 577 00:26:30,040 --> 00:26:31,840 Speaker 2: going to happen in the front end of the bomb market? 578 00:26:32,760 --> 00:26:34,399 Speaker 11: You know, we think so we think we're in a 579 00:26:34,440 --> 00:26:37,480 Speaker 11: soft landing, and that you know, so the scenario we're in, 580 00:26:37,560 --> 00:26:39,280 Speaker 11: we'll be in the soft landing over the next. 581 00:26:39,160 --> 00:26:40,719 Speaker 6: Six to twelve months or so. 582 00:26:40,720 --> 00:26:45,439 Speaker 11: So in that environment, I think moderately lower treasury yields 583 00:26:45,440 --> 00:26:48,480 Speaker 11: makes sense. Two year yields, five year yields, seven tens, 584 00:26:48,480 --> 00:26:51,600 Speaker 11: what have you. So that makes sense on the short 585 00:26:51,680 --> 00:26:54,440 Speaker 11: term basis, though I think the market is far too. 586 00:26:54,280 --> 00:26:56,200 Speaker 8: Confident over this September cut. 587 00:26:57,000 --> 00:26:58,440 Speaker 11: You know, you can be in a soft landing and 588 00:26:58,800 --> 00:27:02,640 Speaker 11: cuts arrived later, probably in the short term. In your 589 00:27:02,680 --> 00:27:05,640 Speaker 11: scenario where you know, chair pal pushes back a little bit, 590 00:27:06,480 --> 00:27:09,240 Speaker 11: we will see some upward pressure on to year yields. 591 00:27:09,560 --> 00:27:12,560 Speaker 11: Another candidate for some maybe some upward pressure would be 592 00:27:12,840 --> 00:27:16,800 Speaker 11: Friday's jobs report. We get a decent jobs number, but also, 593 00:27:16,880 --> 00:27:18,720 Speaker 11: you know, we've been watching the last few months. 594 00:27:18,480 --> 00:27:22,640 Speaker 8: The unemployment rate REAP up. It's possible the unemployment. 595 00:27:22,240 --> 00:27:24,879 Speaker 11: Rate will tick down this Friday, and you know that 596 00:27:24,920 --> 00:27:27,280 Speaker 11: will pour some cold. 597 00:27:27,040 --> 00:27:30,040 Speaker 8: Water on these sort of bearish calls about the Fed. 598 00:27:30,080 --> 00:27:31,320 Speaker 8: You know, it needs to do something now. 599 00:27:31,440 --> 00:27:34,320 Speaker 11: The economy is weakening and that could have impact on 600 00:27:34,320 --> 00:27:35,639 Speaker 11: two year treasury yields. 601 00:27:35,760 --> 00:27:38,879 Speaker 5: And Jeffery Alex and I had one of those discussions 602 00:27:38,880 --> 00:27:41,800 Speaker 5: earlier today with Danielle di Martino Booth, who feels like 603 00:27:41,800 --> 00:27:43,919 Speaker 5: this Yeo's economy is already in a recession if you 604 00:27:43,960 --> 00:27:46,879 Speaker 5: really take a look at the real time data and 605 00:27:46,880 --> 00:27:49,200 Speaker 5: that the Fed needs to they're actually behind the curve. 606 00:27:49,200 --> 00:27:50,439 Speaker 6: They should have already been cutting. 607 00:27:51,359 --> 00:27:52,760 Speaker 5: How do you respond to that when when you hear 608 00:27:52,800 --> 00:27:54,800 Speaker 5: that amongst investors. 609 00:27:54,920 --> 00:27:57,440 Speaker 11: To two, GDP grew two point eight percent quarter to 610 00:27:57,560 --> 00:27:59,879 Speaker 11: quarter annualized on a year on year basis, it was 611 00:28:00,160 --> 00:28:04,480 Speaker 11: three percent. The consumer continues to be solid. The unemployment 612 00:28:04,520 --> 00:28:06,639 Speaker 11: rate as creeped up, it's still below that's four percent. 613 00:28:06,680 --> 00:28:07,280 Speaker 8: That's very low. 614 00:28:07,359 --> 00:28:11,320 Speaker 11: Historically, initial claims for unemployment insurance layoffs pretty good reliable 615 00:28:11,320 --> 00:28:14,280 Speaker 11: indicator of whether we're in a recession or not. Very 616 00:28:14,320 --> 00:28:17,640 Speaker 11: low still, So you know, I, you know, and I've 617 00:28:17,640 --> 00:28:20,679 Speaker 11: been hearing this story for probably eight quarters. Now, I 618 00:28:20,680 --> 00:28:23,840 Speaker 11: think since twenty twenty two, people said, you know, if 619 00:28:23,840 --> 00:28:25,520 Speaker 11: the Fed starts high King, they're going to pull the 620 00:28:25,560 --> 00:28:28,120 Speaker 11: rug out of the economy, of out from under the economy, Paul, 621 00:28:29,119 --> 00:28:30,000 Speaker 11: It just hasn't happened. 622 00:28:30,040 --> 00:28:30,159 Speaker 4: Right. 623 00:28:30,160 --> 00:28:31,320 Speaker 8: The economy keeps going well. 624 00:28:31,400 --> 00:28:34,720 Speaker 2: But here's the problem, right, is that it's a case 625 00:28:34,760 --> 00:28:39,000 Speaker 2: shape economy where the lower and middle income houses are 626 00:28:39,000 --> 00:28:42,280 Speaker 2: getting continually squeezed and the upper income are enjoying five 627 00:28:42,320 --> 00:28:46,680 Speaker 2: percent on their treasury bills. So with that, I mean, 628 00:28:46,680 --> 00:28:49,520 Speaker 2: I know that that's nothing unusual necessarily within the economy, 629 00:28:49,520 --> 00:28:51,560 Speaker 2: but does that put a little bit more pressure then 630 00:28:52,240 --> 00:28:52,840 Speaker 2: on the Fed? 631 00:28:54,120 --> 00:28:56,560 Speaker 11: Well, I think if you're the Fed, you are looking 632 00:28:56,600 --> 00:29:00,760 Speaker 11: at inflation. It has moderated, especially in the last two months, 633 00:29:00,800 --> 00:29:02,560 Speaker 11: similar to what we saw maybe in the second half 634 00:29:02,560 --> 00:29:03,160 Speaker 11: of last year. 635 00:29:03,360 --> 00:29:05,080 Speaker 8: If that continues, you're. 636 00:29:05,200 --> 00:29:08,880 Speaker 11: You could very easily alex be back to two point 637 00:29:08,880 --> 00:29:11,040 Speaker 11: two to two point three percent year on year core 638 00:29:11,080 --> 00:29:14,480 Speaker 11: PCE sometime next summer, which is close to target. 639 00:29:14,480 --> 00:29:15,040 Speaker 8: So that's good. 640 00:29:15,640 --> 00:29:18,640 Speaker 11: At the same time, the unemployment rate has crept up, 641 00:29:18,760 --> 00:29:21,800 Speaker 11: so they don't want to just be restrictive stick at 642 00:29:21,800 --> 00:29:24,200 Speaker 11: five point fifty for the foreseeable future. 643 00:29:24,760 --> 00:29:25,360 Speaker 8: So there. 644 00:29:25,640 --> 00:29:28,000 Speaker 11: They are aware of that, and you know, I think 645 00:29:28,000 --> 00:29:30,960 Speaker 11: that's a good argument for fine tuning the FED funds, Right, 646 00:29:30,960 --> 00:29:32,520 Speaker 11: you don't need to be at five to fifty If 647 00:29:32,560 --> 00:29:36,080 Speaker 11: inflation's at two point three and the unemployment rates creeping up, Now, 648 00:29:36,120 --> 00:29:38,120 Speaker 11: do you need to slash back to two and a 649 00:29:38,160 --> 00:29:39,360 Speaker 11: half percent or three percent? 650 00:29:39,800 --> 00:29:42,520 Speaker 8: Probably not either. It's more of a fine tuning operation. 651 00:29:43,520 --> 00:29:45,600 Speaker 11: I might have mentioned it on this show before, but 652 00:29:45,720 --> 00:29:48,680 Speaker 11: you know, like the mid to late nineties is more 653 00:29:48,720 --> 00:29:52,280 Speaker 11: of the historical analog, if you will, for what I 654 00:29:52,320 --> 00:29:54,920 Speaker 11: sort of envision. The Fed did cut a few times 655 00:29:54,920 --> 00:29:57,680 Speaker 11: in there, but growth continued throughout that period. 656 00:29:58,120 --> 00:30:00,360 Speaker 8: Stocks did well, you know, bonds did well well. So 657 00:30:00,760 --> 00:30:01,720 Speaker 8: it was a good environment. 658 00:30:02,080 --> 00:30:04,840 Speaker 5: So overall, in terms of the consumer, how do you 659 00:30:04,880 --> 00:30:07,000 Speaker 5: feel like the consumers faring out there? 660 00:30:07,960 --> 00:30:11,800 Speaker 11: I think, you know, for me, job growth continues, you 661 00:30:11,880 --> 00:30:15,200 Speaker 11: have more people working, they're still earning wages, although wages 662 00:30:15,200 --> 00:30:17,000 Speaker 11: have you know, cooled off a little bit to about 663 00:30:17,040 --> 00:30:18,960 Speaker 11: four percent year on year. With what we're seeing in 664 00:30:19,000 --> 00:30:21,680 Speaker 11: the ECI data, it's inconsistent what we've been seeing in 665 00:30:21,720 --> 00:30:25,880 Speaker 11: average hourly earnings. But it's really income growth that drives 666 00:30:26,040 --> 00:30:28,560 Speaker 11: the consumer and consumer spending and that is that is 667 00:30:28,600 --> 00:30:31,239 Speaker 11: still holding up through the latest set of data. We'll 668 00:30:31,280 --> 00:30:33,520 Speaker 11: get an update on that on Friday, But I think 669 00:30:33,520 --> 00:30:36,239 Speaker 11: that's really key. Separate from that, Paul, you can think 670 00:30:36,280 --> 00:30:39,440 Speaker 11: about household net worth still looks pretty good. We still 671 00:30:39,440 --> 00:30:42,760 Speaker 11: think households have savings. If you look at household debt 672 00:30:42,880 --> 00:30:46,520 Speaker 11: service as a share of their disposable income, those ratios 673 00:30:46,520 --> 00:30:47,040 Speaker 11: are still. 674 00:30:46,920 --> 00:30:48,960 Speaker 8: Quite low, even though rates have prepped up. 675 00:30:49,040 --> 00:30:51,760 Speaker 11: So all in all, I think the consumer is in decent, 676 00:30:51,920 --> 00:30:55,160 Speaker 11: decent shape. Still all right, let's oh no, no, sorry, gohad. 677 00:30:55,160 --> 00:30:56,480 Speaker 2: I was gonna say, before you go, before we let 678 00:30:56,560 --> 00:30:58,800 Speaker 2: you go, what would be the question you'd ask Jay 679 00:30:58,800 --> 00:30:59,880 Speaker 2: Powell if you're in the presser? 680 00:31:01,000 --> 00:31:02,719 Speaker 8: Well, I would ask him, hey, what you know? 681 00:31:02,960 --> 00:31:03,360 Speaker 6: You think? 682 00:31:03,720 --> 00:31:05,400 Speaker 8: What do you think about the unemployment rate rise? 683 00:31:05,400 --> 00:31:08,560 Speaker 11: We've gone from you know, three point four percent last spring, 684 00:31:08,880 --> 00:31:10,120 Speaker 11: we're now four point one. 685 00:31:10,720 --> 00:31:12,160 Speaker 8: How concerning is that to you? 686 00:31:12,200 --> 00:31:14,120 Speaker 11: How much does that wane on you in terms of 687 00:31:14,160 --> 00:31:17,240 Speaker 11: the decisions you will make. I might also ask him, Hey, 688 00:31:17,720 --> 00:31:20,440 Speaker 11: the market thinks you're definitely cutting in September. 689 00:31:20,520 --> 00:31:22,520 Speaker 8: What would what is the one thing that would really 690 00:31:22,600 --> 00:31:23,160 Speaker 8: change your view? 691 00:31:23,200 --> 00:31:23,440 Speaker 1: Is it? 692 00:31:23,680 --> 00:31:26,040 Speaker 11: I think it would be core PCEE you know, coming 693 00:31:26,080 --> 00:31:27,880 Speaker 11: in month to month, hotter in the next couple of months, 694 00:31:27,920 --> 00:31:28,640 Speaker 11: choppy inflation. 695 00:31:28,760 --> 00:31:30,800 Speaker 8: But I think that's a worthwhile ask. 696 00:31:31,680 --> 00:31:32,640 Speaker 3: All right, thanks so much. 697 00:31:32,680 --> 00:31:34,240 Speaker 2: We really appreciate it, and I would love it if 698 00:31:34,280 --> 00:31:36,000 Speaker 2: you went into a press room. It's like, hey, Jay, 699 00:31:36,680 --> 00:31:39,160 Speaker 2: tell me about this, all right. Jeffrey Cleveland, Chief economist 700 00:31:39,160 --> 00:31:41,520 Speaker 2: over Opinion regal super appreciate that. 701 00:31:43,080 --> 00:31:46,960 Speaker 1: You're listening to the Bloomberg Intelligence podcast. Catch us live 702 00:31:47,040 --> 00:31:50,560 Speaker 1: weekdays at ten am Eastern on applecar Play and Android 703 00:31:50,600 --> 00:31:53,360 Speaker 1: Auto with the Bloomberg Business app. You can also listen 704 00:31:53,480 --> 00:31:56,600 Speaker 1: live on Amazon Alexa from our flagship New York station. 705 00:31:56,960 --> 00:32:00,120 Speaker 1: Just say Alexa playing Bloomberg eleven thirty. 706 00:32:01,520 --> 00:32:04,080 Speaker 5: You're listening to Bloomberg Intelligence, Alex Steel, Paul Swiney live 707 00:32:04,120 --> 00:32:06,400 Speaker 5: here in our Bloomberg you know, active broadcast studio. All right, 708 00:32:06,440 --> 00:32:08,320 Speaker 5: here's a company for you. I had not heard about 709 00:32:08,320 --> 00:32:13,320 Speaker 5: it until recently. Train Technologies. I believe they're based in Ireland, 710 00:32:13,360 --> 00:32:17,680 Speaker 5: but there are a global climate innovator focused on sustainable 711 00:32:17,720 --> 00:32:22,160 Speaker 5: solutions for buildings, homes, and transportation. Karen Uberhart from Bloomberg Intelligence. 712 00:32:22,160 --> 00:32:25,120 Speaker 5: She covers this stock and she's a grizzled veteran she 713 00:32:25,240 --> 00:32:29,640 Speaker 5: is not given to praise companies, you know. Unnotably, she 714 00:32:29,760 --> 00:32:33,720 Speaker 5: says they had a great quarter again, amazing company in 715 00:32:33,760 --> 00:32:34,840 Speaker 5: a very attractive sector. 716 00:32:34,880 --> 00:32:35,520 Speaker 6: So she told me that. 717 00:32:35,560 --> 00:32:37,760 Speaker 5: I said, we got to get these guys on Bloomberg 718 00:32:38,720 --> 00:32:40,400 Speaker 5: and get her talking about see what's going on with 719 00:32:40,440 --> 00:32:43,920 Speaker 5: this company. Dave Regnery joins us. He is the CEO 720 00:32:44,000 --> 00:32:47,640 Speaker 5: of Trained Technologies. The tickers tt on your Bloomberg terminal 721 00:32:48,080 --> 00:32:50,160 Speaker 5: stock hit a fifty two week and actually and I'm 722 00:32:50,160 --> 00:32:53,280 Speaker 5: going to call it an all time high today on 723 00:32:53,320 --> 00:32:55,560 Speaker 5: the back of some pretty good numbers, earnings and sales 724 00:32:55,600 --> 00:32:59,240 Speaker 5: beat on consensus. Dave, thanks so much for joining us 725 00:32:59,360 --> 00:33:02,280 Speaker 5: here in Lovely David's and North Carolina. 726 00:33:02,400 --> 00:33:03,520 Speaker 6: Talk to us about your company. 727 00:33:03,760 --> 00:33:07,800 Speaker 5: What's driving the performance of Trained Technologies these days? 728 00:33:08,520 --> 00:33:10,360 Speaker 12: Well, first, Paul, thanks for having me on the show. 729 00:33:10,720 --> 00:33:13,360 Speaker 12: I just got off our earnings call and we reported 730 00:33:13,400 --> 00:33:16,320 Speaker 12: a very strong second quarter, much like we did in 731 00:33:16,360 --> 00:33:20,120 Speaker 12: the first quarter. Our organic revenue growth was up thirteen percent, 732 00:33:20,280 --> 00:33:23,600 Speaker 12: our order rates were up nineteen percent, and our EPs 733 00:33:23,640 --> 00:33:27,960 Speaker 12: growth was up twenty three percent. So very proud of 734 00:33:27,960 --> 00:33:31,040 Speaker 12: what we've been able to how we've been able to perform. 735 00:33:31,760 --> 00:33:35,280 Speaker 12: Look as far as what's driving our growth. You know, 736 00:33:35,320 --> 00:33:37,280 Speaker 12: I always tell people we have a system of things 737 00:33:37,280 --> 00:33:40,600 Speaker 12: that makes Train Technologies a great company. And whether it's 738 00:33:40,640 --> 00:33:44,520 Speaker 12: the way we we operate our facilities, through our business 739 00:33:44,520 --> 00:33:47,479 Speaker 12: operating system ways, whether it's the way we innovate our 740 00:33:47,520 --> 00:33:51,320 Speaker 12: new products, or whether it's our direct salesforce, those are 741 00:33:51,320 --> 00:33:53,520 Speaker 12: a system of things that make us a great company. 742 00:33:53,960 --> 00:33:56,760 Speaker 12: And we have a service business that's a third of 743 00:33:56,800 --> 00:34:01,840 Speaker 12: our company that's performing extremely well. In the second quarter, 744 00:34:02,000 --> 00:34:06,440 Speaker 12: our service business was up mid teens from a growth perspective, 745 00:34:06,880 --> 00:34:09,600 Speaker 12: and we have a culture that's you know, we believe 746 00:34:09,640 --> 00:34:12,520 Speaker 12: in challenging what's possible and innovating for a sustainable world. 747 00:34:13,000 --> 00:34:15,480 Speaker 2: So based on that, it's great to chat with you. 748 00:34:15,520 --> 00:34:18,560 Speaker 2: By the way, I love love talking to you, because 749 00:34:18,560 --> 00:34:20,600 Speaker 2: you have such a great read on the residential and 750 00:34:20,680 --> 00:34:24,680 Speaker 2: commercial businesses. Basically, if a commercial HVAC unit and a 751 00:34:24,719 --> 00:34:29,560 Speaker 2: near term residential HVAC unit, and of course that's heating, ventiletion, 752 00:34:29,840 --> 00:34:33,759 Speaker 2: air and cooling, where's the strength, where's the growth, where 753 00:34:33,760 --> 00:34:35,000 Speaker 2: are the weak points? 754 00:34:35,680 --> 00:34:38,760 Speaker 12: Yeah, I'll start with residential. We had a very strong 755 00:34:38,880 --> 00:34:41,520 Speaker 12: quarter in the second quarter. Our revenue was up mid 756 00:34:41,560 --> 00:34:46,960 Speaker 12: teens I'm sorry, low teens, but that our residential business. 757 00:34:47,000 --> 00:34:50,200 Speaker 12: For the prior I'll say, you know, three quarters had 758 00:34:50,239 --> 00:34:55,240 Speaker 12: really been struggling with a refrigerant change that wasn't clear. 759 00:34:55,960 --> 00:34:59,600 Speaker 12: That's been clarified. It was really struggling with excess inventory 760 00:34:59,640 --> 00:35:02,040 Speaker 12: kind of a hangover from the COVID days that was 761 00:35:02,040 --> 00:35:06,520 Speaker 12: in the channel. Those both correct it, and we're off 762 00:35:06,520 --> 00:35:09,759 Speaker 12: to a very warm start to the cooling season, which 763 00:35:09,760 --> 00:35:12,680 Speaker 12: should have us all concerned for a different reason as 764 00:35:12,680 --> 00:35:16,279 Speaker 12: the climate continues to increase in temperature. But I would 765 00:35:16,280 --> 00:35:19,120 Speaker 12: tell you that it's a very strong start of the year, 766 00:35:19,200 --> 00:35:23,800 Speaker 12: so very strong and residential, our commercial business really broad 767 00:35:23,840 --> 00:35:27,719 Speaker 12: based growth. You know, certainly the high growth verticals like 768 00:35:27,840 --> 00:35:30,840 Speaker 12: data centers. We do very very well in our education 769 00:35:31,680 --> 00:35:35,319 Speaker 12: or in healthcare, but we had broad based growth in 770 00:35:35,360 --> 00:35:39,839 Speaker 12: the Americas. We track fourteen different verticals and we were 771 00:35:39,960 --> 00:35:42,400 Speaker 12: hard pressed to find a vertical that we were not 772 00:35:42,520 --> 00:35:45,759 Speaker 12: strong in. So it was just it was a very 773 00:35:45,760 --> 00:35:47,960 Speaker 12: strong quarter for trained Technology. I'm very proud of what 774 00:35:47,960 --> 00:35:50,160 Speaker 12: the team's been able to accomplish. 775 00:35:50,440 --> 00:35:53,640 Speaker 5: Yeah, I'm reading the Bloomberg Intelligence research note on your earnings. 776 00:35:53,640 --> 00:35:57,400 Speaker 5: North America's sixteen percent organic growth was much greater than 777 00:35:57,440 --> 00:35:58,759 Speaker 5: the ten percent consensus. 778 00:35:59,400 --> 00:36:00,120 Speaker 6: What drove that. 779 00:36:01,520 --> 00:36:04,560 Speaker 12: Yeah, really two things. Our residential business perform better. Okay, 780 00:36:04,640 --> 00:36:06,719 Speaker 12: we thought that was going to be you know, in 781 00:36:06,760 --> 00:36:08,840 Speaker 12: the beginning of the year, we thought our residential business 782 00:36:08,840 --> 00:36:11,439 Speaker 12: would below single digits. We came in you know, low 783 00:36:11,480 --> 00:36:15,600 Speaker 12: teams in the quarter, so we significantly outdrove that. And 784 00:36:15,640 --> 00:36:19,400 Speaker 12: then our commercial HVAC business just continues to operate at 785 00:36:19,400 --> 00:36:22,920 Speaker 12: a very high level. And like I said, services was 786 00:36:23,000 --> 00:36:27,239 Speaker 12: up in the high teens actually in the Americas, and 787 00:36:27,280 --> 00:36:31,919 Speaker 12: their equipment business just continues to exceed our customers' expectations. 788 00:36:32,080 --> 00:36:35,160 Speaker 12: So very strong quarter. You know, I was listening to 789 00:36:35,239 --> 00:36:39,799 Speaker 12: your show earlier. You were talking about sustainability, and you know, 790 00:36:40,040 --> 00:36:43,719 Speaker 12: I would tell you that Trained Technologies, our purpose is 791 00:36:43,800 --> 00:36:48,920 Speaker 12: built around sustainability. And what people are talking about right 792 00:36:48,920 --> 00:36:51,759 Speaker 12: now as you're hearing a lot about, you know, how 793 00:36:51,840 --> 00:36:54,040 Speaker 12: much power is going to have to be generated to 794 00:36:54,120 --> 00:36:57,080 Speaker 12: meet the demand that's coming. And you'll hear a lot 795 00:36:57,080 --> 00:37:00,200 Speaker 12: about data centers using a lot of the electricity. What 796 00:37:00,360 --> 00:37:03,279 Speaker 12: nobody is talking about is the amount of power that's 797 00:37:03,320 --> 00:37:06,400 Speaker 12: being generated that's being wasted. And I would tell you 798 00:37:06,440 --> 00:37:09,560 Speaker 12: we call it demand side management, and we know because 799 00:37:09,560 --> 00:37:13,080 Speaker 12: we've done hundreds of thousands of energy audits and buildings 800 00:37:13,120 --> 00:37:16,920 Speaker 12: that most buildings operate about thirty percent inefficiently. So just 801 00:37:16,960 --> 00:37:19,520 Speaker 12: think if we could solve that problem, and if we 802 00:37:19,560 --> 00:37:22,279 Speaker 12: can make buildings perform the way they were designed, or 803 00:37:22,320 --> 00:37:25,000 Speaker 12: assets performed the way they're designed. Just think about the 804 00:37:25,040 --> 00:37:28,399 Speaker 12: amount that we could save and the energy that's being 805 00:37:28,440 --> 00:37:30,880 Speaker 12: produced and which was obviously has a trickle effect to 806 00:37:30,920 --> 00:37:33,759 Speaker 12: the carbon footprint. So that's what train technology is all about. 807 00:37:33,920 --> 00:37:35,760 Speaker 12: People always ask me, where do you see the growth 808 00:37:35,800 --> 00:37:37,799 Speaker 12: coming from. It's going to be on the demand side, 809 00:37:37,840 --> 00:37:38,720 Speaker 12: management side. 810 00:37:38,840 --> 00:37:41,160 Speaker 2: Hey, did we really appreciate it? Definitely come back. I 811 00:37:41,200 --> 00:37:43,520 Speaker 2: know you got to run, but we appreciate your time 812 00:37:43,560 --> 00:37:45,879 Speaker 2: today when you're in the city, come in and tell 813 00:37:45,920 --> 00:37:47,920 Speaker 2: us more about it, you know. And I'm also curious 814 00:37:47,920 --> 00:37:49,719 Speaker 2: as to those customers are think willing to pay up 815 00:37:49,719 --> 00:37:51,440 Speaker 2: for it we got last morning to talk about. 816 00:37:51,200 --> 00:37:56,560 Speaker 1: You're listening to the Bloomberg Intelligence Podcast. Catch us live 817 00:37:56,640 --> 00:38:00,480 Speaker 1: weekdays at ten am Eastern on applecar Play at All 818 00:38:00,560 --> 00:38:03,560 Speaker 1: with the Bloomberg Business. You can also listen live on 819 00:38:03,640 --> 00:38:06,919 Speaker 1: Amazon Alexa from our flagship New York station, Just say 820 00:38:07,000 --> 00:38:09,320 Speaker 1: Alexa play Bloomberg eleven thirty. 821 00:38:10,320 --> 00:38:12,040 Speaker 2: Let's get back to the market Shaw, We just go 822 00:38:12,120 --> 00:38:13,799 Speaker 2: back to ETFs, talk about it. 823 00:38:13,920 --> 00:38:16,600 Speaker 6: Growth business. Jennifer Crancio Joints is here. She's global head 824 00:38:16,600 --> 00:38:18,160 Speaker 6: of distribution for TCW. 825 00:38:18,400 --> 00:38:21,319 Speaker 5: Let's Trust Company of the West, Los Angeles. Space used 826 00:38:21,360 --> 00:38:22,480 Speaker 5: to be a huge plan of mine. 827 00:38:22,680 --> 00:38:25,040 Speaker 6: They loved me. She joins us here in our Bloomberg 828 00:38:25,040 --> 00:38:26,400 Speaker 6: Interactive Brokers studio. 829 00:38:27,280 --> 00:38:30,680 Speaker 5: Jennifer, I mean, the money just keeps flowing to you guys, 830 00:38:31,080 --> 00:38:34,000 Speaker 5: and it's just unbelievable how your market is growing, the 831 00:38:34,000 --> 00:38:37,120 Speaker 5: ETF market. Where's some of the money going now? Are 832 00:38:37,160 --> 00:38:41,080 Speaker 5: folks looking for income? Are they looking for special situations? 833 00:38:41,120 --> 00:38:42,320 Speaker 5: What are they looking for these days? 834 00:38:42,560 --> 00:38:45,560 Speaker 9: Yeah? From a TCW perspective, people know us for fixed 835 00:38:45,600 --> 00:38:48,200 Speaker 9: income and so we have a developed set of equity 836 00:38:48,239 --> 00:38:51,960 Speaker 9: ETFs now. But we launched the first fixed income ETF recently. 837 00:38:52,520 --> 00:38:54,920 Speaker 9: And the ticker because that's you know, that's what we 838 00:38:54,960 --> 00:38:58,840 Speaker 9: do in ETFs is flex or FLXR. But Flexer and 839 00:38:58,880 --> 00:39:02,040 Speaker 9: strategies like it are giving you return in the fixed 840 00:39:02,080 --> 00:39:05,160 Speaker 9: income portfolio, but they're also giving you very consistent income. 841 00:39:05,440 --> 00:39:08,279 Speaker 9: And if you think about how to actually construct a portfolio, 842 00:39:08,600 --> 00:39:13,400 Speaker 9: equities can be volatile market market, money market funds and rates. 843 00:39:13,440 --> 00:39:15,880 Speaker 9: They will go down eventually, and so we see a 844 00:39:15,880 --> 00:39:19,160 Speaker 9: lot of investors looking for products that are giving you return, 845 00:39:19,560 --> 00:39:21,760 Speaker 9: but they're also giving you this consistent income. 846 00:39:22,200 --> 00:39:24,400 Speaker 3: This might be a really silly question. Are these actively 847 00:39:24,440 --> 00:39:27,279 Speaker 3: managed ETFs or are these boring? Not boring, I mean 848 00:39:27,320 --> 00:39:29,320 Speaker 3: just passive ETFs. We ad TCW. 849 00:39:29,480 --> 00:39:32,200 Speaker 9: We have one index CTF, and everything else we do 850 00:39:32,360 --> 00:39:35,520 Speaker 9: is active. So our view on portfolios right now is 851 00:39:35,560 --> 00:39:38,600 Speaker 9: there's a lot of uncertainty in the market, and particularly 852 00:39:38,640 --> 00:39:41,919 Speaker 9: when it comes to fixed income and bonds, we think 853 00:39:41,960 --> 00:39:44,359 Speaker 9: active management is the way to go. We can make 854 00:39:44,400 --> 00:39:47,239 Speaker 9: a lot of choices about how to both manage your 855 00:39:47,320 --> 00:39:49,719 Speaker 9: risk and optimize return and in the case of a 856 00:39:49,760 --> 00:39:53,799 Speaker 9: product like flexible income, optimize income at the same time. 857 00:39:53,960 --> 00:39:56,200 Speaker 9: So we think active is the way to go in 858 00:39:56,239 --> 00:39:56,960 Speaker 9: the current market. 859 00:39:57,080 --> 00:40:00,600 Speaker 5: And what's issuing about your met west flexible income It 860 00:40:00,760 --> 00:40:03,399 Speaker 5: was a mutual fund, so you convert a mutual fund 861 00:40:03,480 --> 00:40:04,839 Speaker 5: into an ETF. 862 00:40:05,560 --> 00:40:06,560 Speaker 6: Why do that? 863 00:40:07,320 --> 00:40:10,360 Speaker 9: Advisors like to invest in portfolio managers that have a 864 00:40:10,360 --> 00:40:12,560 Speaker 9: long track record. They want to know that the team's 865 00:40:12,600 --> 00:40:15,080 Speaker 9: been around and together and been making these choices on 866 00:40:15,160 --> 00:40:17,480 Speaker 9: risk and return for a very long time. So at 867 00:40:17,520 --> 00:40:20,960 Speaker 9: TCW we have an excellent fixed income team. They've managed 868 00:40:20,960 --> 00:40:24,640 Speaker 9: this particular strategy for six years with very high performance 869 00:40:24,719 --> 00:40:27,200 Speaker 9: versus peers, and so in this case, it's logical for 870 00:40:27,280 --> 00:40:29,960 Speaker 9: us to take that great track record and simply flip 871 00:40:29,960 --> 00:40:31,280 Speaker 9: it into an ETF vehicle. 872 00:40:31,640 --> 00:40:33,919 Speaker 2: This might be also silly question, but if the Fed 873 00:40:33,960 --> 00:40:37,520 Speaker 2: starts cutting rates, does the appeal of an actively managed 874 00:40:37,560 --> 00:40:40,120 Speaker 2: fixingcome ETF become less because we're no longer going to 875 00:40:40,120 --> 00:40:42,480 Speaker 2: be at five percent like money market fund rates for example. 876 00:40:42,920 --> 00:40:43,680 Speaker 3: Well, I think it's. 877 00:40:43,560 --> 00:40:45,360 Speaker 9: We're not going to be at zero either, And so 878 00:40:45,360 --> 00:40:46,799 Speaker 9: the way that we would think about it is, if 879 00:40:46,840 --> 00:40:50,000 Speaker 9: you're moving through time for years ahead of us, there 880 00:40:50,000 --> 00:40:53,240 Speaker 9: really is an opportunity to be active to drive return 881 00:40:53,320 --> 00:40:56,000 Speaker 9: in the fixed income part of the portfolio. And frankly, 882 00:40:56,000 --> 00:40:58,600 Speaker 9: from an income perspective, people need to keep up with inflation, 883 00:40:58,960 --> 00:41:03,400 Speaker 9: so inflation's down somewhat. But from a price perspective, particularly 884 00:41:03,560 --> 00:41:06,440 Speaker 9: aging population, if everyone's living till ninety or one hundred 885 00:41:06,520 --> 00:41:09,600 Speaker 9: years old, there are a lot of portfolios where the 886 00:41:09,719 --> 00:41:12,920 Speaker 9: regular repeatable income and in the case of flexible income, 887 00:41:12,920 --> 00:41:16,319 Speaker 9: it's say seven percent yield. So as money markets go down, 888 00:41:16,480 --> 00:41:19,400 Speaker 9: we're actively able to manage to a higher income target. 889 00:41:20,600 --> 00:41:23,680 Speaker 5: All right, you guys in the ETF business. I understood 890 00:41:23,719 --> 00:41:26,360 Speaker 5: the passive ETFs. I got that whole story in the cost. 891 00:41:26,600 --> 00:41:29,480 Speaker 5: Then you guys brought in active ETFs. I'm like, wait 892 00:41:29,520 --> 00:41:34,440 Speaker 5: a minute, I think active. I think managers, analyst overhead costs. 893 00:41:35,440 --> 00:41:39,120 Speaker 5: So is an active we managed ETFs cheaper than a mutual. 894 00:41:38,880 --> 00:41:41,840 Speaker 3: Fund in some cases? In some cases they will be. 895 00:41:41,920 --> 00:41:43,360 Speaker 3: In some cases maybe they won't be. 896 00:41:43,480 --> 00:41:45,920 Speaker 9: So in this case with flexible income, we actually brought 897 00:41:45,960 --> 00:41:48,960 Speaker 9: the cost down because we see the demand from an 898 00:41:48,960 --> 00:41:51,359 Speaker 9: ETF perspective, and we think the fund is going to grow, 899 00:41:51,440 --> 00:41:53,840 Speaker 9: and so we were able to take an active product 900 00:41:53,880 --> 00:41:56,479 Speaker 9: that is a forty basis point fee, But that forty 901 00:41:56,520 --> 00:41:58,799 Speaker 9: basis point fee is actually lower than when we were 902 00:41:58,840 --> 00:42:00,960 Speaker 9: managing it in a mutual fee, and that brings real 903 00:42:01,040 --> 00:42:01,960 Speaker 9: value to clients. 904 00:42:02,200 --> 00:42:04,000 Speaker 6: How about to you guys, Well. 905 00:42:03,840 --> 00:42:06,400 Speaker 9: For us, we're building a business and we think that 906 00:42:06,440 --> 00:42:08,919 Speaker 9: there's real demand for products like the one that we're 907 00:42:08,920 --> 00:42:12,239 Speaker 9: talking about today, and so as that product grows, it's 908 00:42:12,280 --> 00:42:14,279 Speaker 9: a great business for us to be able to serve 909 00:42:14,360 --> 00:42:16,879 Speaker 9: clients with a product that can really scale and grow 910 00:42:16,880 --> 00:42:18,080 Speaker 9: in assets under management. 911 00:42:18,480 --> 00:42:21,880 Speaker 2: Jennifer, before you were at TCW, you were the CEO 912 00:42:22,000 --> 00:42:25,480 Speaker 2: of Engine Number one. TCW acquired that part of the 913 00:42:25,480 --> 00:42:28,440 Speaker 2: firm's business back in October of twenty twenty three. I'm 914 00:42:28,480 --> 00:42:31,719 Speaker 2: an oil nerd, so I think Engine number one and 915 00:42:31,760 --> 00:42:35,800 Speaker 2: I'm thinking, oh, the really successful shareholder push on Exon 916 00:42:35,920 --> 00:42:38,359 Speaker 2: to get three members on their board, to really push 917 00:42:38,400 --> 00:42:39,280 Speaker 2: for climate change. 918 00:42:39,280 --> 00:42:41,600 Speaker 3: Can you walk me through all of that. 919 00:42:42,280 --> 00:42:44,480 Speaker 9: Yeah. So, from an end to Number one perspective, we 920 00:42:44,600 --> 00:42:47,680 Speaker 9: saw an opportunity in the market where people were investing 921 00:42:47,680 --> 00:42:51,680 Speaker 9: in energy transition or transformation, either not investing in holding 922 00:42:51,719 --> 00:42:54,640 Speaker 9: index funds or investing in private equity. So a lot 923 00:42:54,640 --> 00:42:56,360 Speaker 9: of what we did at Endine number one was build 924 00:42:56,360 --> 00:42:59,400 Speaker 9: a public market products. Exon was a big part of that, 925 00:42:59,520 --> 00:43:01,640 Speaker 9: still a big holding in one of the funds that 926 00:43:01,680 --> 00:43:04,960 Speaker 9: came over to TCW, which is another ETF net Z 927 00:43:05,920 --> 00:43:08,719 Speaker 9: And the idea there is that we are going through 928 00:43:08,719 --> 00:43:11,960 Speaker 9: an energy transition over many decades to come, and so 929 00:43:12,040 --> 00:43:14,920 Speaker 9: in the case of working with Exon, helping Exon realize 930 00:43:15,080 --> 00:43:18,560 Speaker 9: they could optimize their business and capital allocation to not 931 00:43:18,640 --> 00:43:20,799 Speaker 9: waste money in the out years but take advantage of 932 00:43:20,800 --> 00:43:22,880 Speaker 9: what was happening in the next ten years. And that 933 00:43:23,440 --> 00:43:25,760 Speaker 9: kind of that work has added a lot of value 934 00:43:26,120 --> 00:43:29,200 Speaker 9: to everybody that has held exon over this period. And 935 00:43:29,239 --> 00:43:32,640 Speaker 9: at TCW we still manage this Energy Systems Transition Fund, 936 00:43:32,840 --> 00:43:33,560 Speaker 9: So to that. 937 00:43:33,560 --> 00:43:37,680 Speaker 2: Point, I mean that was also when energy transition and 938 00:43:37,760 --> 00:43:40,359 Speaker 2: green and climate were so the pendulum was swinging very 939 00:43:40,440 --> 00:43:42,480 Speaker 2: much one way, and the pendulum is swinging back the 940 00:43:42,520 --> 00:43:45,799 Speaker 2: other way. Are you guys noticing anything not TCW on that. 941 00:43:46,440 --> 00:43:49,240 Speaker 9: Well, we're at TCW are probably one of the leaders 942 00:43:49,280 --> 00:43:53,560 Speaker 9: in looking at companies from an underlying risk and reward 943 00:43:53,640 --> 00:43:58,360 Speaker 9: perspective across climate and governance for example. So we're a 944 00:43:58,400 --> 00:44:00,360 Speaker 9: leader in that. That's a big part of our business 945 00:44:00,400 --> 00:44:02,960 Speaker 9: in Europe. In the US, people may not want to 946 00:44:02,960 --> 00:44:06,080 Speaker 9: buy products that are value screened, but we still do 947 00:44:06,120 --> 00:44:08,080 Speaker 9: the work so that we're doing the work so that 948 00:44:08,120 --> 00:44:11,320 Speaker 9: if there's a company that's mispriced based on a climate 949 00:44:11,400 --> 00:44:15,080 Speaker 9: risk or mistakes on the governance side, we understand that 950 00:44:15,200 --> 00:44:18,080 Speaker 9: and that's information that goes up to our fundamental portfolio 951 00:44:18,120 --> 00:44:21,120 Speaker 9: managers and it's just another way we're adding alpha for clients. 952 00:44:21,520 --> 00:44:25,000 Speaker 5: Interesting, So we're from the ECF business for TCW. 953 00:44:25,080 --> 00:44:27,000 Speaker 6: What's next for you guys? Where's the area focus? 954 00:44:27,120 --> 00:44:27,160 Speaker 12: Is? 955 00:44:27,160 --> 00:44:28,920 Speaker 6: It continued on the fixed income front. 956 00:44:29,080 --> 00:44:31,839 Speaker 9: It is for sure continuing on the fixing come front. 957 00:44:31,920 --> 00:44:33,800 Speaker 9: So we have a set of equity product tool buildt 958 00:44:33,800 --> 00:44:34,640 Speaker 9: to that over time. 959 00:44:35,120 --> 00:44:35,680 Speaker 3: Excuse me. 960 00:44:36,080 --> 00:44:38,480 Speaker 9: But on the fixed income side, we've got flexible income 961 00:44:38,520 --> 00:44:41,200 Speaker 9: out in the market now and we've filed for another 962 00:44:42,280 --> 00:44:44,239 Speaker 9: four to five products that may be out as soon 963 00:44:44,280 --> 00:44:46,279 Speaker 9: as the end of the year. Because what we see 964 00:44:46,320 --> 00:44:50,240 Speaker 9: is people want the best solution in fixed income portfolio construction. 965 00:44:50,400 --> 00:44:52,480 Speaker 9: And so what we do is active managers, whether it's 966 00:44:52,480 --> 00:44:57,160 Speaker 9: in the CLO market, secured bank loans, high yield, we 967 00:44:57,239 --> 00:45:00,560 Speaker 9: think we can deliver very attractive and more competitive then 968 00:45:00,600 --> 00:45:03,960 Speaker 9: other people are out there today, return and risk profiles, 969 00:45:04,000 --> 00:45:06,080 Speaker 9: and so we look forward to launching those ETFs shortly. 970 00:45:06,760 --> 00:45:08,600 Speaker 2: Can I go back to climate for a second, Oh, Paul, 971 00:45:08,640 --> 00:45:11,719 Speaker 2: hate me here. You mentioned that you are helping to 972 00:45:11,800 --> 00:45:14,440 Speaker 2: judge climate risk. Can you pass it on to the managers? 973 00:45:14,480 --> 00:45:16,440 Speaker 2: How do you How do you judge climate risk for 974 00:45:16,480 --> 00:45:17,000 Speaker 2: a company? 975 00:45:17,239 --> 00:45:19,200 Speaker 3: It's different for every company I know, and so how 976 00:45:19,200 --> 00:45:19,640 Speaker 3: do you do it? 977 00:45:19,719 --> 00:45:19,919 Speaker 1: Yeah? 978 00:45:19,960 --> 00:45:21,799 Speaker 9: I mean so, so the way we the way we 979 00:45:21,840 --> 00:45:24,120 Speaker 9: do it is look at look at each company at 980 00:45:24,160 --> 00:45:26,920 Speaker 9: an underlying data level. So if a company is in 981 00:45:26,960 --> 00:45:29,480 Speaker 9: the energy sector, you know, what are they doing about 982 00:45:29,520 --> 00:45:33,799 Speaker 9: capital allocation in old world energy? What are they doing 983 00:45:33,800 --> 00:45:37,719 Speaker 9: to approve or green up in other areas? So we're 984 00:45:37,719 --> 00:45:40,719 Speaker 9: looking at that, and then across most large companies, we're 985 00:45:40,719 --> 00:45:44,680 Speaker 9: looking at water use, electrification, the goals that they're setting, 986 00:45:44,760 --> 00:45:47,760 Speaker 9: and then measuring the progress that they're making against those goals. 987 00:45:47,840 --> 00:45:50,560 Speaker 9: So we don't look at it in a carbon footprint only. 988 00:45:50,760 --> 00:45:53,680 Speaker 9: We look at it as a sort of transformation transition. 989 00:45:54,120 --> 00:45:56,560 Speaker 9: How are they planning, how will they beat their competitors 990 00:45:56,560 --> 00:45:59,040 Speaker 9: effectively in doing a better job as we move through 991 00:45:59,040 --> 00:46:00,440 Speaker 9: time and we move through the transition. 992 00:46:01,520 --> 00:46:03,959 Speaker 6: So cool, I don't want. 993 00:46:03,840 --> 00:46:05,439 Speaker 5: To how you invest in energy companies, because I would 994 00:46:05,440 --> 00:46:07,880 Speaker 5: be do I want my companies going green now or 995 00:46:07,960 --> 00:46:08,440 Speaker 5: just waiting? 996 00:46:08,480 --> 00:46:09,839 Speaker 2: Well, that's part of the problem is that if you're 997 00:46:09,840 --> 00:46:12,240 Speaker 2: a big energy company like or if you're an investor, 998 00:46:12,360 --> 00:46:14,640 Speaker 2: you really only want to own one because you can't 999 00:46:14,680 --> 00:46:16,680 Speaker 2: own a bunch for that exact reason, and you can't 1000 00:46:16,680 --> 00:46:18,600 Speaker 2: go to shareholders or your investors and say, hey, I 1001 00:46:18,680 --> 00:46:21,400 Speaker 2: have a boltload of energy companies. So then that begs 1002 00:46:21,400 --> 00:46:23,880 Speaker 2: the question, how do you choose which means bigger is better? 1003 00:46:23,960 --> 00:46:26,640 Speaker 2: And then hence forth the next Sun Chevron kind of 1004 00:46:26,640 --> 00:46:28,880 Speaker 2: thing that's that's what I keep hearing shayby next on 1005 00:46:28,920 --> 00:46:32,320 Speaker 2: earnings out Friday, So very exciting. This is great, Jennifer, 1006 00:46:32,320 --> 00:46:34,000 Speaker 2: thank you so much. It was wonderful to meet you. 1007 00:46:34,040 --> 00:46:36,040 Speaker 2: A big fan of Katie Kotch also who's the CEO 1008 00:46:36,080 --> 00:46:38,520 Speaker 2: of TCW, so it's great to get you in the studio. 1009 00:46:38,680 --> 00:46:41,920 Speaker 2: Come back anytime at Jennifer Grancio a global head of 1010 00:46:41,920 --> 00:46:44,960 Speaker 2: distribution over at TCW, normally based in La so. 1011 00:46:44,880 --> 00:46:46,080 Speaker 3: We're very lucky to have her here. 1012 00:46:46,360 --> 00:46:50,839 Speaker 1: This is the Bloomberg Intelligence podcast, available on Apples, Spotify, 1013 00:46:51,040 --> 00:46:53,960 Speaker 1: and anywhere else you will get your podcasts. Listen live 1014 00:46:54,040 --> 00:46:57,640 Speaker 1: each weekday, ten am to noon Eastern on Bloomberg dot com, 1015 00:46:57,760 --> 00:47:01,160 Speaker 1: the IR radio app, tune In, and the Bloomberg Business app. 1016 00:47:01,280 --> 00:47:04,240 Speaker 1: You can also watch us live every weekday on YouTube 1017 00:47:04,520 --> 00:47:06,360 Speaker 1: and always on the Bloomberg terminal.