1 00:00:02,440 --> 00:00:06,760 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:08,240 --> 00:00:12,120 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 3 00:00:12,200 --> 00:00:15,720 Speaker 2: weekdays at ten am Eastern on affocarplaying Android Auto with 4 00:00:15,760 --> 00:00:18,800 Speaker 2: the Bloomberg Business App. Listen on demand wherever you get 5 00:00:18,840 --> 00:00:22,320 Speaker 2: your podcasts, or watch us live on YouTube. 6 00:00:23,480 --> 00:00:26,040 Speaker 3: We had some economic data, of course today, Retail sales 7 00:00:26,320 --> 00:00:29,400 Speaker 3: KIM in better than expected retail sales. The headline KIM 8 00:00:29,480 --> 00:00:32,760 Speaker 3: at zero point one percent positive for the month of August. 9 00:00:32,840 --> 00:00:36,280 Speaker 3: The expectation was negative zero point two percent, so better 10 00:00:36,320 --> 00:00:39,040 Speaker 3: than expected. The prior period also revised up, So that 11 00:00:39,120 --> 00:00:41,400 Speaker 3: kind of it's kind of a little bit different than 12 00:00:41,440 --> 00:00:43,280 Speaker 3: what we hear from some of the retailers who kind 13 00:00:43,280 --> 00:00:45,440 Speaker 3: of call out the weakness that they are seeing, particularly 14 00:00:45,440 --> 00:00:47,840 Speaker 3: from the lower end of their consumers. But let's let's 15 00:00:47,840 --> 00:00:49,559 Speaker 3: break down some of these numbers. We can do that 16 00:00:49,560 --> 00:00:54,720 Speaker 3: with Joe Blanchard, President of Enterprise Client Solutions at Advantage Solutions. So, Jill, 17 00:00:55,000 --> 00:00:57,240 Speaker 3: what did you make of the retail sales data we 18 00:00:57,280 --> 00:00:58,040 Speaker 3: got this morning? 19 00:00:59,800 --> 00:01:03,040 Speaker 4: So hello and thanks for having me back. It was 20 00:01:03,120 --> 00:01:07,560 Speaker 4: a surprise, right, This could be indicative of many things, 21 00:01:07,600 --> 00:01:11,319 Speaker 4: but the first thing that I'll point to is early 22 00:01:11,440 --> 00:01:15,560 Speaker 4: holiday earlier holiday spending, and so retailers have been pulling 23 00:01:15,560 --> 00:01:18,679 Speaker 4: holidays forward with good deals and it's kind of working. 24 00:01:18,840 --> 00:01:21,560 Speaker 4: Sixty three percent of consumers that that they would buy 25 00:01:21,600 --> 00:01:25,840 Speaker 4: products earlier if on sale. Holiday creep's always been a thing, 26 00:01:25,920 --> 00:01:29,440 Speaker 4: but it's so exaggerated today that virtually every week of 27 00:01:29,480 --> 00:01:32,360 Speaker 4: the year there's some sort of holiday in store. We 28 00:01:32,400 --> 00:01:35,399 Speaker 4: saw that this summer with Summer ween, if you've heard 29 00:01:35,440 --> 00:01:39,199 Speaker 4: that term before. So the back to school holiday shared 30 00:01:39,240 --> 00:01:41,720 Speaker 4: shelf space with ghosts and skeletons, and a lot of 31 00:01:41,720 --> 00:01:46,640 Speaker 4: orange and black TikTokers were making Jacko lanterns from watermelons. 32 00:01:46,880 --> 00:01:50,560 Speaker 4: There were skeletons on pol floats. Starbucks brought the ever 33 00:01:50,640 --> 00:01:53,880 Speaker 4: so popular Pumpkin spice latte out earlier than ever before, 34 00:01:54,200 --> 00:01:56,639 Speaker 4: and home improvement stores jumped on the bad and wagon 35 00:01:56,680 --> 00:01:59,560 Speaker 4: with halfway to Halloween in April in hopes of addressing 36 00:01:59,560 --> 00:02:01,720 Speaker 4: their slugs sales as well as trying to deplete that 37 00:02:01,800 --> 00:02:04,559 Speaker 4: inventory so they have less to discount come the first 38 00:02:04,600 --> 00:02:08,640 Speaker 4: day of November. So that could also be you know, 39 00:02:09,000 --> 00:02:11,320 Speaker 4: leaning in towards this increase spending. 40 00:02:12,160 --> 00:02:15,000 Speaker 5: Well, Jill love of pumpkins spice Lotte, that's a good 41 00:02:15,240 --> 00:02:17,280 Speaker 5: that's a good call out there. I wanted to know. 42 00:02:17,360 --> 00:02:17,440 Speaker 6: So. 43 00:02:17,480 --> 00:02:20,120 Speaker 5: Of course, when we're looking at retail sales, earnings and 44 00:02:20,160 --> 00:02:21,680 Speaker 5: just all the data that's coming in, it can really 45 00:02:21,720 --> 00:02:24,120 Speaker 5: feel like a slew. We can't really get a read 46 00:02:24,200 --> 00:02:27,040 Speaker 5: on the consumer here. Has this offered us any more clarity? 47 00:02:29,080 --> 00:02:34,760 Speaker 4: Offers more clarity? You know? Probably not, because again, consumers 48 00:02:34,800 --> 00:02:38,000 Speaker 4: are really shifting the way that they spend. The predictions 49 00:02:38,040 --> 00:02:40,160 Speaker 4: for this holiday seas that are to be softer than 50 00:02:40,240 --> 00:02:44,120 Speaker 4: last year, or two percent versus three percent. We we 51 00:02:44,120 --> 00:02:47,160 Speaker 4: we do see consumers continuing to buy, but trying to 52 00:02:47,200 --> 00:02:50,480 Speaker 4: buy lower cost alternatives. We saw that with back to school, 53 00:02:50,520 --> 00:02:52,919 Speaker 4: where the volume was flat but the dollars were down, 54 00:02:53,320 --> 00:02:56,480 Speaker 4: indicating that they're buying. They're just finding cheaper ways to 55 00:02:56,560 --> 00:02:58,720 Speaker 4: buy things. And I think we're going to see that 56 00:02:58,760 --> 00:03:02,080 Speaker 4: this holiday season too, especially with things like the deep 57 00:03:02,120 --> 00:03:06,000 Speaker 4: discount Chinese shopping apps t MoU, Shine, TikTok. Two thirds 58 00:03:06,000 --> 00:03:08,640 Speaker 4: of consumers have shot those apps, and that's a number 59 00:03:08,639 --> 00:03:10,799 Speaker 4: that will likely see go up. And I bring those 60 00:03:10,880 --> 00:03:14,359 Speaker 4: up at the examples to answer your question because it's 61 00:03:14,440 --> 00:03:16,800 Speaker 4: blurry out there. Things happening in both. 62 00:03:16,639 --> 00:03:18,440 Speaker 3: Directions, Jill. 63 00:03:18,960 --> 00:03:20,359 Speaker 7: For this holiday season, here. 64 00:03:20,600 --> 00:03:23,600 Speaker 3: How promotional do you think retailers are going to have 65 00:03:23,639 --> 00:03:27,040 Speaker 3: to be to drive their top line. 66 00:03:27,320 --> 00:03:30,520 Speaker 4: They're going to have to continue to be very promotional 67 00:03:30,560 --> 00:03:33,799 Speaker 4: to drive their top line. Historically, pricing and promotions were 68 00:03:33,840 --> 00:03:36,520 Speaker 4: used to boost near end sales, but now they're used 69 00:03:36,560 --> 00:03:40,120 Speaker 4: to boost everyday sales. And it's really driven by how 70 00:03:40,200 --> 00:03:44,600 Speaker 4: consumers are spending and potentially a permanent shift in how 71 00:03:44,600 --> 00:03:48,160 Speaker 4: they spend. And so we see a lot of growth 72 00:03:48,280 --> 00:03:54,400 Speaker 4: from discount retailers, private brand sales in general, and consumers 73 00:03:54,480 --> 00:03:58,480 Speaker 4: are definitely leaning in towards those strategies. In some household 74 00:03:59,080 --> 00:04:02,760 Speaker 4: are doing even more things, you know, like using alternative 75 00:04:02,960 --> 00:04:05,960 Speaker 4: pay pay plans like a buy now, pay later, getting 76 00:04:05,960 --> 00:04:10,000 Speaker 4: a second job, sharing groceries, leaning on social media. The 77 00:04:10,040 --> 00:04:12,800 Speaker 4: hashtag back to school Halls was a huge help to 78 00:04:12,880 --> 00:04:14,400 Speaker 4: parents during back to school season. 79 00:04:15,720 --> 00:04:17,200 Speaker 5: I mean, I think when we're looking at this and 80 00:04:17,240 --> 00:04:20,000 Speaker 5: the market has really been on edge with investors really 81 00:04:20,040 --> 00:04:22,560 Speaker 5: worrying about the consumer and how it may hurt the 82 00:04:22,600 --> 00:04:25,960 Speaker 5: economy and the labor market, I mean, does this really 83 00:04:26,000 --> 00:04:29,200 Speaker 5: show that the consumer may be stronger than many people think? 84 00:04:30,760 --> 00:04:34,880 Speaker 4: Oh my, I'm so hesitant to lean into that. All 85 00:04:34,920 --> 00:04:36,960 Speaker 4: predictions for the back half of this year as well 86 00:04:36,960 --> 00:04:41,560 Speaker 4: as a holiday season. You know, aren't incredibly positive. Economists 87 00:04:41,560 --> 00:04:44,159 Speaker 4: think that consumers will rein in their spending in the 88 00:04:44,200 --> 00:04:46,720 Speaker 4: back even though we didn't see that with the results 89 00:04:46,800 --> 00:04:49,000 Speaker 4: this morning, will rain in their spending in the back 90 00:04:49,040 --> 00:04:52,719 Speaker 4: half of this year due to depleted pandemic savings. Lower 91 00:04:52,720 --> 00:04:57,440 Speaker 4: income households have record levels of credit card debt uncertainty, 92 00:04:57,760 --> 00:05:00,880 Speaker 4: and those low income households, by the way, are proportionally 93 00:05:02,200 --> 00:05:04,840 Speaker 4: affected with inflation. We saw that a few weeks ago 94 00:05:04,839 --> 00:05:07,599 Speaker 4: when Dollar General said that the weekest three weeks of 95 00:05:07,640 --> 00:05:10,880 Speaker 4: their quarter were the last weeks of each month, indicating 96 00:05:10,880 --> 00:05:14,120 Speaker 4: that consumers are really struggling to stretch that budget. So 97 00:05:14,200 --> 00:05:18,200 Speaker 4: for those reasons, I'm super hesitant to lean into overall 98 00:05:18,279 --> 00:05:21,160 Speaker 4: growth in the back half of this year. We still 99 00:05:21,200 --> 00:05:22,600 Speaker 4: think it's going to be depressed. 100 00:05:24,040 --> 00:05:25,360 Speaker 7: What is skimpflation. 101 00:05:27,640 --> 00:05:30,760 Speaker 4: It's a great question. I'd say that this industry is 102 00:05:30,800 --> 00:05:32,920 Speaker 4: not short of creativity, right, so we all know what 103 00:05:32,960 --> 00:05:36,520 Speaker 4: shrinkflation is. We talked about upflation, which is that concept 104 00:05:36,520 --> 00:05:40,600 Speaker 4: of fining a new use for an existing product. Skipflation 105 00:05:40,760 --> 00:05:44,239 Speaker 4: is the concept of producing a product or a service 106 00:05:44,400 --> 00:05:48,799 Speaker 4: with a lesser equality or not equality lesser price ingredient, 107 00:05:48,960 --> 00:05:51,520 Speaker 4: So for a food product, or for a piece of 108 00:05:51,520 --> 00:05:55,800 Speaker 4: clothing that could be a cheaper ingredient, or material for 109 00:05:55,880 --> 00:05:58,320 Speaker 4: a service that could be something like a hotel's day 110 00:05:58,360 --> 00:05:59,360 Speaker 4: with no cleaning service. 111 00:06:00,600 --> 00:06:02,719 Speaker 3: Yeah, I've seen that more and more, but less and less. 112 00:06:02,760 --> 00:06:05,440 Speaker 3: Night after the pandemic, pandemic was really prevalent. 113 00:06:05,480 --> 00:06:07,039 Speaker 7: Now it's less, so definitely. 114 00:06:07,240 --> 00:06:09,600 Speaker 5: I mean, we can't really look at any one data point, 115 00:06:09,600 --> 00:06:12,160 Speaker 5: but as we're looking toward the Fed tomorrow, of course 116 00:06:12,200 --> 00:06:14,479 Speaker 5: this will that's not necessarily play into this one, but 117 00:06:14,520 --> 00:06:17,279 Speaker 5: we're looking toward the next job report. How is this 118 00:06:17,440 --> 00:06:19,839 Speaker 5: just telling us about the strink of the economy more broadly. 119 00:06:22,320 --> 00:06:25,920 Speaker 4: Yeah, so there's a lot of discussion around the rate 120 00:06:26,000 --> 00:06:28,560 Speaker 4: cuts and what that might ultimately do to spending. Historically, 121 00:06:29,040 --> 00:06:31,040 Speaker 4: spending goes up about a half percent in the year 122 00:06:31,160 --> 00:06:33,440 Speaker 4: following a rate cut, but also goes down to to 123 00:06:33,520 --> 00:06:36,240 Speaker 4: four percent in a recession. Where we are, you know, 124 00:06:36,440 --> 00:06:39,719 Speaker 4: soft but not quite a recession. You know, we could 125 00:06:39,800 --> 00:06:42,760 Speaker 4: see a slight decline in twenty twenty five, but overall, 126 00:06:42,800 --> 00:06:46,680 Speaker 4: it's going to take a while to revitalize the economy 127 00:06:46,880 --> 00:06:49,560 Speaker 4: via the rate cuts. 128 00:06:49,640 --> 00:06:53,719 Speaker 3: Just real quick, Jill, how important is brand loyalty these days. 129 00:06:56,000 --> 00:06:58,600 Speaker 4: Oh my gosh, I can't tell you how many times 130 00:06:58,600 --> 00:07:02,320 Speaker 4: they say this. The new loyalty is disloyalty. Which, the 131 00:07:02,360 --> 00:07:06,880 Speaker 4: new loyalty is disloyalty. We are training consumers to be disloyal. 132 00:07:06,960 --> 00:07:09,960 Speaker 4: We are training them that there is always a deal 133 00:07:10,040 --> 00:07:12,880 Speaker 4: to be had out there, whether it's at a different 134 00:07:12,960 --> 00:07:18,440 Speaker 4: outlet or whether it's waiting. So loyalty has definitely declined 135 00:07:18,880 --> 00:07:22,080 Speaker 4: and retailers are trying to get that back. So, for example, 136 00:07:22,200 --> 00:07:26,480 Speaker 4: take retailers loyalty programs. It's a great way for retailers 137 00:07:26,480 --> 00:07:28,720 Speaker 4: to pull that consumer into their store for that trip 138 00:07:28,720 --> 00:07:31,280 Speaker 4: because it's the only place to get that price. But 139 00:07:31,440 --> 00:07:35,200 Speaker 4: consumers beware. It often does have consumers buying things that 140 00:07:35,240 --> 00:07:38,480 Speaker 4: they didn't need or more than they need. In fact, 141 00:07:38,720 --> 00:07:41,400 Speaker 4: we just did a recent survey. We're eighty percent of 142 00:07:41,480 --> 00:07:44,560 Speaker 4: consumers so that they're buying more product than they need 143 00:07:44,600 --> 00:07:45,920 Speaker 4: because of a good deal. 144 00:07:46,240 --> 00:07:46,360 Speaker 2: Ye. 145 00:07:46,600 --> 00:07:49,240 Speaker 4: So it's a great strategy for retailers, but consumers aware. 146 00:07:49,720 --> 00:07:51,920 Speaker 3: Entry load is what it's called. Jill Blanchard, thanks so 147 00:07:51,960 --> 00:07:54,920 Speaker 3: much for joining us. Jill Blanchard. She's president of Enterprise 148 00:07:55,040 --> 00:07:58,640 Speaker 3: Client Solutions. The firm name is Advantage Solutions. Joining us 149 00:07:58,720 --> 00:08:00,640 Speaker 3: via zoom from California. 150 00:08:00,920 --> 00:08:07,000 Speaker 2: Today, you're listening to the Bloomberg Intelligence Podcast. Catch us 151 00:08:07,040 --> 00:08:10,200 Speaker 2: live weekdays at ten am Eastern on Apple car Play 152 00:08:10,240 --> 00:08:13,360 Speaker 2: and Android Auto with the Bloomberg Business. You can also 153 00:08:13,400 --> 00:08:16,920 Speaker 2: listen live on Amazon Alexa from our flagship New York station. 154 00:08:17,280 --> 00:08:20,040 Speaker 2: Just say Alexa play Bloomberg eleven thirty. 155 00:08:21,640 --> 00:08:23,760 Speaker 7: All right, it is time to get right to it. 156 00:08:23,840 --> 00:08:26,040 Speaker 3: I'm going right to our guest, daniel De Martino, Booth 157 00:08:26,120 --> 00:08:29,440 Speaker 3: CEO and chief strategist QI Research. You want to talk FED, 158 00:08:29,560 --> 00:08:32,880 Speaker 3: this is the go to source. We're so glad to 159 00:08:32,880 --> 00:08:35,480 Speaker 3: have her in our studio. She's based down on Dallas. 160 00:08:35,480 --> 00:08:37,679 Speaker 3: She was a former FED person down there in the 161 00:08:37,720 --> 00:08:39,840 Speaker 3: Dallas Fed, so she knows a thing or two about 162 00:08:39,840 --> 00:08:42,520 Speaker 3: this Central bank. Here, Danielle, what do you think they 163 00:08:42,640 --> 00:08:44,439 Speaker 3: should do tomorrow? 164 00:08:46,080 --> 00:08:48,560 Speaker 8: I think they should have I mean, since we're doing 165 00:08:48,600 --> 00:08:50,400 Speaker 8: shows right and by the way, by the way, I 166 00:08:50,440 --> 00:08:53,120 Speaker 8: do analog. So it's my birthday today, so I'm just. 167 00:08:54,880 --> 00:08:57,240 Speaker 7: I'm right there with you with them. Legal to drink 168 00:08:57,280 --> 00:09:01,360 Speaker 7: now barely possibly. It's also lis In Saunders birthday. 169 00:09:01,400 --> 00:09:02,400 Speaker 8: It is also lis In Saunders. 170 00:09:03,000 --> 00:09:04,079 Speaker 7: We always are like that. 171 00:09:04,160 --> 00:09:05,599 Speaker 8: The first ones to wish each other had we go 172 00:09:05,760 --> 00:09:09,719 Speaker 8: down Constitution Day. Anyways, I think that they should have 173 00:09:09,760 --> 00:09:13,360 Speaker 8: if we're doing shoulda kuda lowered in July? And I 174 00:09:13,360 --> 00:09:15,160 Speaker 8: think that they know that, and I think that had 175 00:09:15,160 --> 00:09:17,800 Speaker 8: they lowered in July, because they had a quote unquote 176 00:09:17,880 --> 00:09:21,480 Speaker 8: real conversation about it, according to J. Powett, the podium 177 00:09:21,600 --> 00:09:24,560 Speaker 8: that they would subsequently be lowering again twenty five basis 178 00:09:24,600 --> 00:09:27,240 Speaker 8: points tomorrow, which is why I think fifty kind of 179 00:09:27,280 --> 00:09:31,120 Speaker 8: makes sense because the level of interest rates fifty basis 180 00:09:31,120 --> 00:09:33,800 Speaker 8: points lower than what it is right now is appropriate 181 00:09:33,880 --> 00:09:38,160 Speaker 8: given Bloomberg's bankruptcies came in at eight in the last week, 182 00:09:38,200 --> 00:09:40,880 Speaker 8: and we've seen another one since then, the second highest 183 00:09:40,920 --> 00:09:43,720 Speaker 8: this year. I mean, obviously the lag effect is taking 184 00:09:43,800 --> 00:09:46,760 Speaker 8: effect in the credit markets. It's much more difficult to 185 00:09:46,800 --> 00:09:50,560 Speaker 8: find funding if you're a bad building or a bad business, 186 00:09:51,360 --> 00:09:53,839 Speaker 8: so I think, And it's harder by a car, and 187 00:09:53,880 --> 00:09:57,600 Speaker 8: it's harder to refinance your home, and it's a lot 188 00:09:57,640 --> 00:10:00,640 Speaker 8: of things say that the level of interest rate is 189 00:10:00,679 --> 00:10:02,360 Speaker 8: too high, and I think that that's what they should 190 00:10:02,360 --> 00:10:03,680 Speaker 8: be focused on the level. 191 00:10:04,559 --> 00:10:06,600 Speaker 5: So you said that you think that they should have 192 00:10:06,600 --> 00:10:09,400 Speaker 5: cut back in July. So what are your expectations for tomorrow? 193 00:10:09,440 --> 00:10:11,400 Speaker 5: I mean, are you in the more ambitious camp, are 194 00:10:11,400 --> 00:10:13,960 Speaker 5: you looking for fifty basis point cut or so? 195 00:10:14,160 --> 00:10:17,200 Speaker 8: I mean, I have Look, I've been around the Fed 196 00:10:17,360 --> 00:10:21,480 Speaker 8: for a very long time, and to say, and Bloomberg 197 00:10:21,760 --> 00:10:25,120 Speaker 8: does a great job of tracking the volatility in the 198 00:10:25,280 --> 00:10:28,839 Speaker 8: uncertainty of the wagers on whether it's going to be 199 00:10:28,880 --> 00:10:31,559 Speaker 8: twenty five or fifty, we haven't seen uncertainty this high 200 00:10:31,640 --> 00:10:35,320 Speaker 8: since two thousand and seven, wow, in terms of the 201 00:10:35,360 --> 00:10:41,000 Speaker 8: WORP WRP GO. So it's so difficult to say. And 202 00:10:41,480 --> 00:10:43,760 Speaker 8: Bank of America came out and drew the lines hard 203 00:10:43,760 --> 00:10:46,320 Speaker 8: this morning and they're like, it should only be twenty five, 204 00:10:46,600 --> 00:10:48,560 Speaker 8: And Michael Furley at JP Morgan Chase is like, it 205 00:10:48,640 --> 00:10:52,080 Speaker 8: absolutely should be fifty. My buddy, George Goncalvez at MUFG, 206 00:10:52,360 --> 00:10:55,120 Speaker 8: kudos to him. He's been saying fifty the whole time 207 00:10:55,160 --> 00:10:59,280 Speaker 8: because he's looking at the level. So I think that 208 00:10:59,280 --> 00:11:03,679 Speaker 8: they've done enough broadcasting and moved markets to a great 209 00:11:03,800 --> 00:11:06,720 Speaker 8: enough extent to break the seventy five percent rule. 210 00:11:06,559 --> 00:11:07,040 Speaker 7: If need be. 211 00:11:07,320 --> 00:11:08,680 Speaker 8: But that's what it would come down to, It would 212 00:11:08,679 --> 00:11:10,880 Speaker 8: be breaking the seventy five percent probability role. 213 00:11:11,240 --> 00:11:15,040 Speaker 3: So once the FED does begin tomorrow, what's the cadence 214 00:11:15,360 --> 00:11:17,800 Speaker 3: after that, Like, when would they like to be done? 215 00:11:17,840 --> 00:11:19,240 Speaker 7: Where would I mean, how does that all work? 216 00:11:19,960 --> 00:11:24,640 Speaker 8: So I think it from my experience on the inside, 217 00:11:25,240 --> 00:11:30,360 Speaker 8: you sort of know it's time to ease off on 218 00:11:30,040 --> 00:11:33,640 Speaker 8: on easing, yep, when you start to see the lag 219 00:11:33,640 --> 00:11:37,280 Speaker 8: effect from tightening dissipate. Okay, And those are things that 220 00:11:37,320 --> 00:11:40,079 Speaker 8: are visible right because BC, why go you can track 221 00:11:40,160 --> 00:11:42,120 Speaker 8: the level of bankruptcy, you can track the level of 222 00:11:42,320 --> 00:11:44,920 Speaker 8: distress in the system. When that starts to ebb off, 223 00:11:45,320 --> 00:11:50,120 Speaker 8: then obviously financing is opening up enough to provide adequate 224 00:11:50,160 --> 00:11:53,480 Speaker 8: liquidity to the system, adequate liquidity to the credit markets. 225 00:11:53,760 --> 00:11:56,439 Speaker 7: And so that's kind of when you know yep. 226 00:11:56,960 --> 00:11:59,800 Speaker 8: And I think J Powell at AL, I think it's 227 00:11:59,600 --> 00:12:02,040 Speaker 8: what's unique right now is we've got a FED that 228 00:12:02,080 --> 00:12:05,199 Speaker 8: wants to stop with a two or three percent handle. 229 00:12:05,760 --> 00:12:08,520 Speaker 8: They're like, you know, we can put three percentage points 230 00:12:08,559 --> 00:12:11,240 Speaker 8: of cuts out there and still not have to worry 231 00:12:11,240 --> 00:12:13,600 Speaker 8: about going back to the zero bound, which they know 232 00:12:13,720 --> 00:12:18,240 Speaker 8: is a failed experiment and encouraged too much speculation. 233 00:12:18,800 --> 00:12:20,800 Speaker 5: And going off of that, I mean, markets are pricing 234 00:12:20,840 --> 00:12:23,640 Speaker 5: north of one hundred basis plantes of cuts through the 235 00:12:23,720 --> 00:12:26,040 Speaker 5: end of this year. If that holds, does that mean 236 00:12:26,120 --> 00:12:29,240 Speaker 5: that the later meetings would all be fifty basis? How 237 00:12:29,280 --> 00:12:30,360 Speaker 5: would that work exactly? 238 00:12:30,520 --> 00:12:35,120 Speaker 8: You know, I look, j Powell is the least political 239 00:12:36,400 --> 00:12:41,480 Speaker 8: FED chair since Paul Volker wondered the buildings and gave 240 00:12:41,640 --> 00:12:45,240 Speaker 8: the staff and you know, seminars on on why the 241 00:12:45,280 --> 00:12:47,640 Speaker 8: tailor rode was broken just for fun and did not 242 00:12:47,720 --> 00:12:50,240 Speaker 8: care what Wall Street thought. Jay Powell is very a 243 00:12:50,400 --> 00:12:54,560 Speaker 8: political So if it needs to be fifty, it'll be fifty. 244 00:12:54,600 --> 00:12:57,840 Speaker 8: Because he's when he says I'm data dependent, he's dated dependent. 245 00:12:58,360 --> 00:13:02,280 Speaker 8: If we see that, you know, there's enough gig workers 246 00:13:02,280 --> 00:13:05,000 Speaker 8: out there that have been absorbed and ergo, they're finally 247 00:13:05,080 --> 00:13:08,200 Speaker 8: starting to apply for unemployment because we're seeing a massive 248 00:13:08,320 --> 00:13:11,480 Speaker 8: runoff from the million full time jobs we've lost in 249 00:13:11,480 --> 00:13:14,480 Speaker 8: the last twelve months into the part time for economic reasons. 250 00:13:14,520 --> 00:13:14,800 Speaker 5: Pool. 251 00:13:15,480 --> 00:13:18,679 Speaker 8: I had an uber driver yesterday, first drive of his 252 00:13:18,880 --> 00:13:19,520 Speaker 8: Uber life. 253 00:13:19,640 --> 00:13:20,199 Speaker 7: Wow. 254 00:13:20,600 --> 00:13:22,760 Speaker 8: But you get that a lot because people are like, Okay, 255 00:13:22,880 --> 00:13:25,400 Speaker 8: the state's gonna get wherever I live, stay x y. Heck, 256 00:13:25,400 --> 00:13:27,880 Speaker 8: if it's tennessee twelve whole weeks, that's their max for 257 00:13:27,960 --> 00:13:30,560 Speaker 8: unemployment benefits. I can maybe get two hundred and ninety 258 00:13:30,559 --> 00:13:32,360 Speaker 8: five from the state, or I can get at least 259 00:13:32,360 --> 00:13:37,040 Speaker 8: five seven one thousand dollars five hundred and seven driving Uber, 260 00:13:37,440 --> 00:13:40,240 Speaker 8: delivering door dash, whatever it is. But at some point 261 00:13:40,400 --> 00:13:44,240 Speaker 8: you're going to saturate that market in terms of I mean, 262 00:13:44,280 --> 00:13:46,240 Speaker 8: it's a lot quicker to get an Uber today than 263 00:13:46,240 --> 00:13:48,120 Speaker 8: it was nine months ago. 264 00:13:48,600 --> 00:13:52,480 Speaker 3: So just real quick, what's the labor number that gets 265 00:13:52,520 --> 00:13:55,400 Speaker 3: you spooked, whether it's an unemployment rate or just what's 266 00:13:55,440 --> 00:13:56,840 Speaker 3: the labor number that gets you spooked? 267 00:13:56,840 --> 00:13:58,160 Speaker 7: To maybe art you might already be there. 268 00:13:58,400 --> 00:13:58,800 Speaker 3: I don't know. 269 00:13:58,840 --> 00:14:01,720 Speaker 8: Well, I'm kind of are yeah, spoop. I really am. 270 00:14:01,840 --> 00:14:06,120 Speaker 8: To see the rise in part time employment. To see 271 00:14:06,120 --> 00:14:10,800 Speaker 8: the economic depopulation ratio already dive down into recessionary territory 272 00:14:10,880 --> 00:14:13,760 Speaker 8: that's on par with that of the two thousand and 273 00:14:13,800 --> 00:14:16,400 Speaker 8: seven two thousand and nine Great Recession. To see in 274 00:14:16,520 --> 00:14:20,240 Speaker 8: University of Michigan bad news heard on unemployment go spiking. 275 00:14:20,280 --> 00:14:23,360 Speaker 8: To see people's expectations for their income go down for 276 00:14:23,440 --> 00:14:25,600 Speaker 8: six months in a row. That's a data series that 277 00:14:25,800 --> 00:14:28,040 Speaker 8: goes back to nineteen eighty. We've never seen six months 278 00:14:28,080 --> 00:14:31,360 Speaker 8: in a row of people saying my income is going 279 00:14:31,400 --> 00:14:33,560 Speaker 8: to decline in the coming twelve months. Why is that 280 00:14:33,600 --> 00:14:35,800 Speaker 8: because they're going from full time to part time. They 281 00:14:35,880 --> 00:14:37,840 Speaker 8: know that what they're we have three hundred and seventy 282 00:14:37,920 --> 00:14:41,040 Speaker 8: nine thousand and fifty five year old plus rejoin the 283 00:14:41,040 --> 00:14:43,360 Speaker 8: workforce in August. Hey, I'm going to go back to 284 00:14:43,440 --> 00:14:45,800 Speaker 8: work to help my kid who doesn't have a full 285 00:14:45,800 --> 00:14:47,400 Speaker 8: time job anymore. We've got to put food on the 286 00:14:47,400 --> 00:14:48,359 Speaker 8: table for the grandkids. 287 00:14:48,400 --> 00:14:51,200 Speaker 3: And I just saw that Sam's Club they're raising the 288 00:14:51,600 --> 00:14:54,200 Speaker 3: base rates starting wages in the US from fifteen to 289 00:14:54,240 --> 00:14:56,000 Speaker 3: sixteen dollars. And I keep an eye on that because 290 00:14:56,000 --> 00:14:58,600 Speaker 3: my last job will be as a greader at walmart 291 00:15:00,040 --> 00:15:04,040 Speaker 3: Danielle Dee martinmo Booth CEO, Chief Strategist QI Research during 292 00:15:04,120 --> 00:15:06,240 Speaker 3: US Live here in a Bloomerg interrector Broker studio, which 293 00:15:06,280 --> 00:15:08,960 Speaker 3: is an absolutely perfect guest to have the day before 294 00:15:09,000 --> 00:15:09,360 Speaker 3: the FED. 295 00:15:11,600 --> 00:15:15,480 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 296 00:15:15,560 --> 00:15:18,280 Speaker 2: weekdays at ten am Eastern on Apple car Playing and 297 00:15:18,400 --> 00:15:21,280 Speaker 2: broud Otto with the Bloomberg Business app. Listen on demand 298 00:15:21,320 --> 00:15:25,640 Speaker 2: wherever you get your podcasts, or watch us live on YouTube. 299 00:15:26,680 --> 00:15:28,000 Speaker 7: Nor are you a TikToker? 300 00:15:28,120 --> 00:15:30,040 Speaker 5: I am. I'm excited for this segment. 301 00:15:30,160 --> 00:15:31,960 Speaker 3: All right, Well good, I mean, I'm not even going 302 00:15:32,000 --> 00:15:34,000 Speaker 3: to ask John Tucker he's a TikToker. I know where 303 00:15:34,000 --> 00:15:34,600 Speaker 3: that's going to stay. 304 00:15:34,680 --> 00:15:37,120 Speaker 7: Do you know what that is? What's that? 305 00:15:37,440 --> 00:15:37,680 Speaker 5: You go? 306 00:15:38,160 --> 00:15:38,600 Speaker 7: All right? 307 00:15:38,680 --> 00:15:42,280 Speaker 3: Apparently yesterday the hearing went poorly for TikTok and it's 308 00:15:42,320 --> 00:15:46,000 Speaker 3: legal fight against a US law enforcing servers and app 309 00:15:46,000 --> 00:15:49,560 Speaker 3: stores stop hosting the video sharing app in January. That's 310 00:15:49,600 --> 00:15:52,600 Speaker 3: not bueno for them. Matt Sheltonham, he follows all of 311 00:15:52,600 --> 00:15:56,240 Speaker 3: this stuff media litigation. He's down in Washington, d C. 312 00:15:56,440 --> 00:15:57,600 Speaker 3: For Bloomberg Intelligence. 313 00:15:58,000 --> 00:15:58,200 Speaker 7: MAC. 314 00:15:58,240 --> 00:16:02,120 Speaker 3: You summarize what the case was before the court and 315 00:16:02,160 --> 00:16:04,040 Speaker 3: what their ruling was. Are we gonna be able to 316 00:16:04,080 --> 00:16:05,760 Speaker 3: still have TikTok come January? 317 00:16:07,240 --> 00:16:07,480 Speaker 2: Well? 318 00:16:07,720 --> 00:16:13,040 Speaker 6: I think if TikTok wasn't concerned about a potential ban 319 00:16:13,280 --> 00:16:17,520 Speaker 6: before yesterday's hearing, it should be concerned after that hearing. 320 00:16:17,640 --> 00:16:18,840 Speaker 7: Yesterday it did not go. 321 00:16:18,920 --> 00:16:22,920 Speaker 6: Well for the company. What's an issue here is in April, 322 00:16:23,520 --> 00:16:28,280 Speaker 6: Congress passed a law that said unless TikTok is divested 323 00:16:28,360 --> 00:16:31,520 Speaker 6: to a company that doesn't have its parent in China, 324 00:16:32,280 --> 00:16:35,680 Speaker 6: that companies in the US can no longer carry the app. 325 00:16:35,880 --> 00:16:39,720 Speaker 6: In app stores. Companies can no longer host it in 326 00:16:39,760 --> 00:16:42,800 Speaker 6: a way that the app can be distributed, updated, or 327 00:16:42,840 --> 00:16:47,479 Speaker 6: maintained in the United States, all of as of January nineteenth, 328 00:16:47,800 --> 00:16:51,400 Speaker 6: and TikTok is said, look, we can't do a divestiture. 329 00:16:51,680 --> 00:16:54,720 Speaker 6: It's certainly not on that timeline. And so TikTok's only 330 00:16:54,880 --> 00:16:59,400 Speaker 6: chance to survive in the United States after January nineteenth 331 00:16:59,520 --> 00:17:03,200 Speaker 6: is to win this legal case. And yesterday's hearing was 332 00:17:03,320 --> 00:17:07,600 Speaker 6: the big, big hearing on the case, and the three 333 00:17:07,720 --> 00:17:11,880 Speaker 6: judges on the case, in my view, were not very 334 00:17:11,920 --> 00:17:14,600 Speaker 6: sympathetic to the company's First Amendment case. 335 00:17:15,280 --> 00:17:17,560 Speaker 5: And so is this isolated to the United States? Are 336 00:17:17,560 --> 00:17:20,480 Speaker 5: there any other you know, countries that are also trying 337 00:17:20,520 --> 00:17:22,200 Speaker 5: to crack down on TikTok and its influence. 338 00:17:23,240 --> 00:17:27,560 Speaker 6: I think different countries are taking different approaches. The EU 339 00:17:27,960 --> 00:17:33,320 Speaker 6: has taken a harder approach to tech regulation generally and 340 00:17:34,440 --> 00:17:39,880 Speaker 6: likely would apply that to TikTok without a specific ban 341 00:17:40,240 --> 00:17:43,000 Speaker 6: in the same way. According to our analyst Hamlin Basin. 342 00:17:43,200 --> 00:17:47,720 Speaker 6: There so this law is US specific. It was passed 343 00:17:47,720 --> 00:17:53,520 Speaker 6: by Congress specifically to target the company, and so it's 344 00:17:53,560 --> 00:17:56,439 Speaker 6: a different remedy here in the US. But there's a 345 00:17:56,480 --> 00:17:58,480 Speaker 6: tendency I think to think, you know, nothing's going to 346 00:17:58,520 --> 00:18:01,200 Speaker 6: happen in Congress. Nothing ever gets done there, just a 347 00:18:01,240 --> 00:18:04,280 Speaker 6: lot of talk. Well, here, Congress did it. It's done. 348 00:18:04,400 --> 00:18:09,359 Speaker 6: It's law, and TikTok's only chance to overcome it is 349 00:18:09,400 --> 00:18:10,560 Speaker 6: to win this legal case. 350 00:18:11,000 --> 00:18:13,480 Speaker 3: So the parent company for TikTok is Byte Dance, a 351 00:18:13,560 --> 00:18:16,919 Speaker 3: Chinese controlled company. If I've misstated that, let me know 352 00:18:18,200 --> 00:18:21,719 Speaker 3: what has Bite Dance said about their options, what they 353 00:18:21,840 --> 00:18:23,600 Speaker 3: plan to do scenarios. 354 00:18:24,760 --> 00:18:28,320 Speaker 6: Yeah, so that's right, that Byte Dance is the parent 355 00:18:28,440 --> 00:18:33,040 Speaker 6: company of TikTok. Now, TikTok is a is a US subsidiary, 356 00:18:33,040 --> 00:18:36,560 Speaker 6: It's a US company. TikTok is a privately owned company, 357 00:18:36,600 --> 00:18:39,679 Speaker 6: but it happens to have its headquarters in China, and 358 00:18:39,720 --> 00:18:44,080 Speaker 6: that's the concern. And you know, TikTok and Byte Dance 359 00:18:44,119 --> 00:18:48,160 Speaker 6: in this legal case have basically said, look, a divestiture 360 00:18:48,320 --> 00:18:52,359 Speaker 6: is just not technically or legally feasible. And so there's 361 00:18:52,400 --> 00:18:57,280 Speaker 6: really no indication that they're pursuing a divestiture at this point, 362 00:18:57,640 --> 00:19:00,280 Speaker 6: and at least that's their indication to the court. The 363 00:19:00,359 --> 00:19:03,399 Speaker 6: law allows a ninety day extension if the president sees 364 00:19:03,440 --> 00:19:07,480 Speaker 6: their making progress on a sale, but the company, they've 365 00:19:07,480 --> 00:19:10,199 Speaker 6: made no indication they're pursuing that route. They say this 366 00:19:10,359 --> 00:19:13,440 Speaker 6: is a blatant violation of the constitution, and so they 367 00:19:13,440 --> 00:19:15,560 Speaker 6: think they can win in court. But I'm not so 368 00:19:15,680 --> 00:19:17,280 Speaker 6: sure after yesterday's hearing. 369 00:19:17,880 --> 00:19:20,440 Speaker 5: I mean, so what do analysts think are the brought 370 00:19:20,520 --> 00:19:23,080 Speaker 5: would be the broader readout for the corporate side of things. 371 00:19:23,119 --> 00:19:25,360 Speaker 5: I mean, of course, we know so many companies actually 372 00:19:25,520 --> 00:19:28,679 Speaker 5: promote their products and their companies on TikTok. I mean, 373 00:19:28,680 --> 00:19:31,160 Speaker 5: when I'm scrolling through, I'm always seeing a new pitch. 374 00:19:31,200 --> 00:19:33,360 Speaker 5: So what does that look like in terms of advertisement 375 00:19:33,400 --> 00:19:34,520 Speaker 5: and the ripple effects there? 376 00:19:35,320 --> 00:19:38,320 Speaker 6: Yeah, that's right, And part of the litigation yesterday was 377 00:19:38,400 --> 00:19:41,600 Speaker 6: brought by users of TikTok that say, look, there isn't 378 00:19:41,640 --> 00:19:42,720 Speaker 6: a good substitute. 379 00:19:42,800 --> 00:19:43,600 Speaker 7: Yeah, there are other. 380 00:19:43,520 --> 00:19:47,800 Speaker 6: Social media companies, but we've built our businesses here. We 381 00:19:47,840 --> 00:19:51,040 Speaker 6: are expressing ourselves as a first Amendment matter on TikTok, 382 00:19:51,320 --> 00:19:55,440 Speaker 6: and the government can't take that away. And there's also 383 00:19:55,480 --> 00:20:00,399 Speaker 6: a big business impact in terms of TikTok's competitors. Is 384 00:20:01,240 --> 00:20:03,640 Speaker 6: one of the leading social media apps in the country, 385 00:20:03,680 --> 00:20:07,680 Speaker 6: so if it goes away, it's a great opportunity for 386 00:20:07,840 --> 00:20:12,120 Speaker 6: the competitors for Google, for Meta and so there are 387 00:20:12,240 --> 00:20:17,240 Speaker 6: serious business implications by forcing a divestiture that isn't going 388 00:20:17,320 --> 00:20:18,960 Speaker 6: to happen in effectively forcing a ban. 389 00:20:20,119 --> 00:20:22,160 Speaker 7: Is this something that could get to the Supreme Court. 390 00:20:23,400 --> 00:20:27,439 Speaker 6: Yes, So if TikTok loses in the DC Circuit, I 391 00:20:27,440 --> 00:20:31,320 Speaker 6: expect we'll see a decision by early December from the 392 00:20:31,400 --> 00:20:34,320 Speaker 6: DC Circuit. As I said, the key deadline is January 393 00:20:34,440 --> 00:20:36,960 Speaker 6: nineteenth here, so there's not a lot of time. If 394 00:20:36,960 --> 00:20:39,400 Speaker 6: we see a decision in December from the DC Circuit, 395 00:20:39,920 --> 00:20:44,000 Speaker 6: TikTok's realistic only chance at that point is going to 396 00:20:44,040 --> 00:20:46,639 Speaker 6: be a last ditch plea to the Supreme Court to 397 00:20:46,720 --> 00:20:49,600 Speaker 6: hit pause on this, to say, look, nothing should move 398 00:20:49,640 --> 00:20:52,960 Speaker 6: this fast when you have such a major restriction under 399 00:20:53,000 --> 00:20:55,879 Speaker 6: the First Amendment. The Supreme Court should issue a stay 400 00:20:56,119 --> 00:20:58,439 Speaker 6: and take up this case. That's going to be the 401 00:20:58,760 --> 00:21:02,080 Speaker 6: TikTok's last chance to dodge a man by January nineteenth 402 00:21:02,080 --> 00:21:04,560 Speaker 6: if this ruling goes against it, and I'm not sure 403 00:21:04,600 --> 00:21:07,080 Speaker 6: the Supreme Court will necessarily take it. Yes, it's a 404 00:21:07,200 --> 00:21:10,639 Speaker 6: major question that they might be interested in. But if 405 00:21:11,359 --> 00:21:14,560 Speaker 6: TikTok gets a major loss at the d C Circuit. 406 00:21:14,560 --> 00:21:16,679 Speaker 6: The Supreme Court could say, look, you know they got 407 00:21:16,720 --> 00:21:18,719 Speaker 6: it right. We don't need to step in here. So 408 00:21:18,720 --> 00:21:20,800 Speaker 6: it's not even a sure thing that the Supreme. 409 00:21:20,520 --> 00:21:21,280 Speaker 9: Court will take it. 410 00:21:21,520 --> 00:21:23,840 Speaker 6: We'll have to watch that in after the d C 411 00:21:23,840 --> 00:21:24,560 Speaker 6: Circuit rules. 412 00:21:24,920 --> 00:21:27,000 Speaker 3: All right, Matt, thanks so much for joining us. Expert 413 00:21:27,040 --> 00:21:29,760 Speaker 3: expert analysis there tall you folks. It's hard to find 414 00:21:29,760 --> 00:21:33,040 Speaker 3: that kind of analysis anywhere else but Bloomberg Intelligence. Mett 415 00:21:33,040 --> 00:21:36,520 Speaker 3: shutting home media litigation analysts from Bloomberg intelp just down 416 00:21:36,520 --> 00:21:37,200 Speaker 3: in Washington, DC. 417 00:21:37,320 --> 00:21:40,320 Speaker 7: It's a huge case. I mean, you think about. 418 00:21:40,280 --> 00:21:42,359 Speaker 3: Not just all the people that are on TikTok, but 419 00:21:42,520 --> 00:21:44,399 Speaker 3: all the businesses that are built upon. 420 00:21:44,520 --> 00:21:45,680 Speaker 5: What happens to the dances. 421 00:21:45,760 --> 00:21:47,359 Speaker 7: Are we not going to dance anymore? Exact? 422 00:21:47,359 --> 00:21:49,600 Speaker 9: So you'll get like fifteen second videos of some guy 423 00:21:49,640 --> 00:21:51,960 Speaker 9: chopping wood or somebody dancing. 424 00:21:52,200 --> 00:21:54,680 Speaker 7: I don't know something. We're afraid that we're going to lose. 425 00:21:54,720 --> 00:21:57,360 Speaker 7: That it's going to be big. We'll stay on top 426 00:21:57,400 --> 00:21:58,840 Speaker 7: of it. This is Bloomberg. 427 00:22:01,119 --> 00:22:05,040 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 428 00:22:05,080 --> 00:22:08,920 Speaker 2: weekdays at ten am Eastern on applecar Play and Android Auto. 429 00:22:09,040 --> 00:22:11,800 Speaker 2: With the Bloomberg Business Act. You can also listen live 430 00:22:11,920 --> 00:22:15,080 Speaker 2: on Amazon Alexa from our flagship New York station Just 431 00:22:15,160 --> 00:22:17,760 Speaker 2: Say Alexa playing Bloomberg eleven thirty. 432 00:22:19,200 --> 00:22:21,560 Speaker 3: It's not just us here at Bloomberg that are fixating 433 00:22:21,600 --> 00:22:24,320 Speaker 3: on what the Fed's going to do tomorrow. Real people, 434 00:22:24,359 --> 00:22:27,080 Speaker 3: smart people in Cleveland, Ohio, they also are going to 435 00:22:27,119 --> 00:22:29,320 Speaker 3: focus on that. Anna Rothbund joints us here. She's a 436 00:22:29,400 --> 00:22:36,200 Speaker 3: chief investment officer lyrical sopranis soprano, lyrical soprano Seebiz Investment 437 00:22:36,240 --> 00:22:39,199 Speaker 3: Advisory Services. They're based in Cleveland, but she joins us 438 00:22:39,200 --> 00:22:42,560 Speaker 3: here in our Bloomberg Interactive Brokers studio. So on, when 439 00:22:42,600 --> 00:22:44,679 Speaker 3: you take a look at your portfolio, kind of the 440 00:22:44,680 --> 00:22:47,040 Speaker 3: advice you're giving your clients, what have you been telling 441 00:22:47,040 --> 00:22:50,119 Speaker 3: them about the FED and what the Fed's doing and 442 00:22:50,160 --> 00:22:52,640 Speaker 3: why it matters or does it matter that those types 443 00:22:52,680 --> 00:22:53,879 Speaker 3: of discussions. 444 00:22:53,320 --> 00:22:56,400 Speaker 1: Oh it matters, Okay, you know it has plateaued for 445 00:22:56,480 --> 00:23:01,240 Speaker 1: over a year now, and they're tomorrow twenty five or fifty. 446 00:23:01,280 --> 00:23:03,760 Speaker 1: In some ways it doesn't matter because it's just the 447 00:23:03,800 --> 00:23:06,159 Speaker 1: first step that they're taking in what we believe is 448 00:23:06,160 --> 00:23:10,160 Speaker 1: a cycle of cuts. It's still going to be restrictive 449 00:23:10,200 --> 00:23:13,360 Speaker 1: after twenty five basis points or fifty. We do think 450 00:23:13,400 --> 00:23:16,720 Speaker 1: that there are other considerations they need to think about, 451 00:23:17,000 --> 00:23:20,200 Speaker 1: which is, if you go back to the March projections 452 00:23:20,359 --> 00:23:23,199 Speaker 1: and then look at the June projections, there was a 453 00:23:23,320 --> 00:23:27,119 Speaker 1: huge revision, right, they got more hawkish. Now it looks 454 00:23:27,160 --> 00:23:29,760 Speaker 1: like the March revisions maybe they had they it would 455 00:23:29,760 --> 00:23:31,879 Speaker 1: have been better if they had stayed put. So if 456 00:23:31,920 --> 00:23:35,000 Speaker 1: we look at that, we have three cuts coming up, 457 00:23:35,080 --> 00:23:38,959 Speaker 1: twenty five basis points each September tomorrow twenty five basis 458 00:23:38,960 --> 00:23:42,200 Speaker 1: points that we're expecting, and then maybe November and another 459 00:23:42,240 --> 00:23:44,520 Speaker 1: one in December. So that's what we've been sort of 460 00:23:44,520 --> 00:23:48,000 Speaker 1: relaying to our clients and certainly preparing our portfolios. 461 00:23:48,320 --> 00:23:51,919 Speaker 5: And this has definitely been such an interesting cycle, unprecedented. 462 00:23:52,040 --> 00:23:53,960 Speaker 5: But I mean, when you're looking at those projections for 463 00:23:54,119 --> 00:23:56,560 Speaker 5: cuts throughout the end of the year, is that based 464 00:23:56,560 --> 00:23:59,880 Speaker 5: on historical patterns or are you all you know, what's 465 00:24:00,119 --> 00:24:02,200 Speaker 5: the thought process behind not moving forward? 466 00:24:02,280 --> 00:24:05,040 Speaker 7: I don't think history helps us, right, not at all. 467 00:24:05,760 --> 00:24:09,200 Speaker 1: No, it's you know, this was a pandemic driven inflation 468 00:24:09,760 --> 00:24:13,760 Speaker 1: and the Fed had to do something pretty dramatic coming down. 469 00:24:13,880 --> 00:24:16,320 Speaker 1: I mean it was sort of obviously had to raise rates, right, 470 00:24:16,400 --> 00:24:18,560 Speaker 1: maybe it wasn't at the time, but in hindsight it 471 00:24:18,680 --> 00:24:20,760 Speaker 1: was going down. I don't think is going to be 472 00:24:20,800 --> 00:24:21,480 Speaker 1: as easy. 473 00:24:22,119 --> 00:24:23,440 Speaker 7: And the data. 474 00:24:23,200 --> 00:24:25,880 Speaker 1: Dependency, I think comes from the fact that we can't 475 00:24:25,880 --> 00:24:28,640 Speaker 1: rely on history. But at the same time, data dependency 476 00:24:28,720 --> 00:24:32,359 Speaker 1: is making things very volatile, especially on market expectations. So 477 00:24:32,400 --> 00:24:35,240 Speaker 1: we're literally taking I mean we're taking it three cuts 478 00:24:35,280 --> 00:24:38,800 Speaker 1: in twenty twenty four, but also one meeting at a time. 479 00:24:39,720 --> 00:24:42,680 Speaker 3: How about if you haven't put cash to work here, 480 00:24:44,240 --> 00:24:45,719 Speaker 3: I don't know, it's kind of tough one. I think 481 00:24:45,800 --> 00:24:47,720 Speaker 3: John Tucker was going to put some cash to work 482 00:24:47,720 --> 00:24:50,040 Speaker 3: in some money market at four point was it six 483 00:24:50,080 --> 00:24:50,840 Speaker 3: percent or something? 484 00:24:51,119 --> 00:24:54,359 Speaker 9: Was well known the Goldman Sachs markets market. Just like 485 00:24:55,000 --> 00:24:58,080 Speaker 9: my question is of our stock's going to see competition 486 00:24:58,240 --> 00:25:02,200 Speaker 9: from the higher or for bonds at some point fixed. 487 00:25:01,960 --> 00:25:06,240 Speaker 1: Income, well, cash has been nearer five and there was 488 00:25:06,280 --> 00:25:10,080 Speaker 1: no competition, right, So I'm not sure if bonds are 489 00:25:10,200 --> 00:25:15,200 Speaker 1: going to be necessarily any different now the price has 490 00:25:15,240 --> 00:25:18,520 Speaker 1: been it's been favorable for bonds, right, but that also 491 00:25:18,560 --> 00:25:20,800 Speaker 1: means the incomes going down, so lock them in. 492 00:25:21,040 --> 00:25:25,600 Speaker 3: We've heard some people maybe reposition the portfolio, maybe maybe 493 00:25:25,600 --> 00:25:27,600 Speaker 3: take some of the gains from the stocks that really run, 494 00:25:27,600 --> 00:25:29,080 Speaker 3: whether it's the big tech and putting. 495 00:25:29,400 --> 00:25:31,920 Speaker 7: Is that something you guys do too, and repositioning your portfolio. 496 00:25:32,000 --> 00:25:32,800 Speaker 7: How often do you do that? 497 00:25:33,160 --> 00:25:38,320 Speaker 1: Yeah, So we have institutional portfolios, so we have it's 498 00:25:38,320 --> 00:25:40,960 Speaker 1: pretty much fully invested and there's an ips that we 499 00:25:41,000 --> 00:25:43,679 Speaker 1: have to stick to. So what we do is oftentimes 500 00:25:44,040 --> 00:25:47,080 Speaker 1: we have seen this in the last not just two years, 501 00:25:47,119 --> 00:25:50,600 Speaker 1: but going back to pre pandemic, a huge discrepancy between 502 00:25:50,600 --> 00:25:53,520 Speaker 1: growth stocks and value stocks. So we do separate them. 503 00:25:53,800 --> 00:25:56,840 Speaker 1: And when growth stocks run as they have, we take 504 00:25:56,880 --> 00:25:59,280 Speaker 1: the gains. We take the gains and reinvest it into 505 00:25:59,320 --> 00:26:02,160 Speaker 1: the cheaper stock. So that's kind of how we deal 506 00:26:02,200 --> 00:26:04,600 Speaker 1: with some of the irrationalities of the market. 507 00:26:04,840 --> 00:26:07,600 Speaker 5: So I'm always looking at interest rate sensitive sectors as 508 00:26:07,600 --> 00:26:09,760 Speaker 5: I'm sure everyone is. I look at real estate stocks, 509 00:26:09,800 --> 00:26:12,679 Speaker 5: I cover them. Are there any sectors in particular that 510 00:26:12,720 --> 00:26:15,760 Speaker 5: you're really eyeing as we head through this, you know, 511 00:26:15,920 --> 00:26:18,400 Speaker 5: rate cut cycle. Are there any sectors that you think 512 00:26:18,440 --> 00:26:19,720 Speaker 5: could really outperform from this? 513 00:26:20,640 --> 00:26:24,879 Speaker 1: So small caps certainly, and we have seen that actually 514 00:26:24,960 --> 00:26:28,359 Speaker 1: starting in July. Also starting in July, what you saw 515 00:26:28,400 --> 00:26:32,199 Speaker 1: were some rates public rates that were recovering just to 516 00:26:32,240 --> 00:26:35,719 Speaker 1: give a sense. I think office rates since the end 517 00:26:35,760 --> 00:26:39,760 Speaker 1: of twenty twenty one, when FED really started to raise rates, 518 00:26:40,359 --> 00:26:42,800 Speaker 1: it was down like forty percent or so, but you 519 00:26:42,840 --> 00:26:46,399 Speaker 1: really saw that recover since July. So a lot of 520 00:26:46,440 --> 00:26:50,639 Speaker 1: the interest rates sensitive areas. Not every area was max seven, 521 00:26:50,640 --> 00:26:54,200 Speaker 1: definitely wasn't. I think those areas are poised to. 522 00:26:54,160 --> 00:26:56,919 Speaker 3: Outperform, and again they're are performing today. The S and 523 00:26:56,920 --> 00:26:58,680 Speaker 3: P five hundreds up four tens of one percent, but 524 00:26:58,720 --> 00:27:01,439 Speaker 3: the Russell two thousand and so point seven percent, so 525 00:27:01,480 --> 00:27:03,240 Speaker 3: we're starting to see that already. Anna, thank you so 526 00:27:03,320 --> 00:27:07,600 Speaker 3: much for joining us on a Rathbund Chief Investment Officer 527 00:27:08,200 --> 00:27:11,439 Speaker 3: lyrical soprano. I am googling for some of her performances 528 00:27:11,480 --> 00:27:12,040 Speaker 3: as we speak. 529 00:27:12,040 --> 00:27:13,119 Speaker 7: That's what I was doing earlier. 530 00:27:13,119 --> 00:27:14,679 Speaker 3: Oh no, so I'll be checking it out on the 531 00:27:14,760 --> 00:27:17,400 Speaker 3: commute home here see BIZ Investment Advisory Services. 532 00:27:17,400 --> 00:27:18,160 Speaker 7: That's the day job. 533 00:27:18,200 --> 00:27:20,080 Speaker 3: But a lyrical soprano, I want. 534 00:27:19,960 --> 00:27:21,000 Speaker 5: To learn to hit those notes. 535 00:27:21,080 --> 00:27:21,560 Speaker 7: Oh please. 536 00:27:22,800 --> 00:27:25,000 Speaker 3: My sister's a great singer, so she's the only one 537 00:27:25,080 --> 00:27:25,879 Speaker 3: that got to I think I'm like. 538 00:27:25,880 --> 00:27:29,840 Speaker 5: An alto too. Whatever is probably maybe right before tenor okay, 539 00:27:30,040 --> 00:27:30,680 Speaker 5: we can't do a due. 540 00:27:31,000 --> 00:27:32,960 Speaker 7: Get up there. Thank you. 541 00:27:32,960 --> 00:27:33,280 Speaker 9: So much. 542 00:27:33,280 --> 00:27:38,800 Speaker 2: Annah, you're listening to the Bloomberg Intelligence Podcast. Catch us 543 00:27:38,840 --> 00:27:42,240 Speaker 2: live weekdays at ten am Eastern on applecar Play and 544 00:27:42,240 --> 00:27:45,160 Speaker 2: Android Auto with the Bloomberg Business app. You can also 545 00:27:45,240 --> 00:27:48,400 Speaker 2: listen live on Amazon Alexa from our flagship New York 546 00:27:48,480 --> 00:27:52,800 Speaker 2: station Just Say Alexa playing Bloomberg eleven thirty. 547 00:27:53,560 --> 00:27:55,919 Speaker 3: We love talking to Kate Richard. She's the CEO and 548 00:27:56,000 --> 00:27:58,840 Speaker 3: co CIO at Warwick Investment Group. We love talking to 549 00:27:58,920 --> 00:28:00,879 Speaker 3: Kate just to get a So what's happening in the 550 00:28:00,920 --> 00:28:05,760 Speaker 3: world of global energy, natural gas, crude oil? Kate, thanks 551 00:28:05,760 --> 00:28:07,600 Speaker 3: so much for joining us here in our studio. Let's 552 00:28:07,600 --> 00:28:09,960 Speaker 3: talk about just WTI crude oil WORRE. It's seventy one 553 00:28:10,000 --> 00:28:12,680 Speaker 3: bucks a barrel here, we did fall below seventy here. 554 00:28:12,920 --> 00:28:16,280 Speaker 3: Give us the state of just global crude oil. Is 555 00:28:16,320 --> 00:28:18,160 Speaker 3: it a supply issue that's. 556 00:28:18,000 --> 00:28:20,000 Speaker 7: Been pulling oil down or is it demander a little 557 00:28:20,040 --> 00:28:20,440 Speaker 7: bit of both. 558 00:28:20,720 --> 00:28:23,000 Speaker 10: I would say it's probably sentiment more than anything else. 559 00:28:23,720 --> 00:28:27,120 Speaker 10: There's nothing that could explain a twenty to twenty five 560 00:28:27,280 --> 00:28:31,880 Speaker 10: dollars barrel drop in prices for oil fundamentally. But it's 561 00:28:32,000 --> 00:28:35,040 Speaker 10: very important to remember that oil is often not a 562 00:28:35,080 --> 00:28:40,479 Speaker 10: fundamentally driven commodity in terms of pricing, the financial demand 563 00:28:40,520 --> 00:28:43,600 Speaker 10: for oil and petroleum products is actually thirty times the 564 00:28:43,640 --> 00:28:45,959 Speaker 10: size of the physical market. So if you look at 565 00:28:46,000 --> 00:28:48,480 Speaker 10: all of the contracts that are treating for oil and 566 00:28:48,560 --> 00:28:52,080 Speaker 10: oil products such as gasoline, jet fuel, et cetera, that 567 00:28:52,160 --> 00:28:54,520 Speaker 10: market is thirty times the size of the actual physical 568 00:28:54,560 --> 00:28:56,719 Speaker 10: market for oil. And so what that means is that 569 00:28:56,760 --> 00:29:00,360 Speaker 10: the financial sentiment around oil can actually have an enormous 570 00:29:00,400 --> 00:29:03,680 Speaker 10: impact on prices that isn't actually reflected in fundamentals. And 571 00:29:03,680 --> 00:29:05,160 Speaker 10: I'll talk about fundamentals. 572 00:29:04,680 --> 00:29:05,200 Speaker 7: In a second. 573 00:29:05,400 --> 00:29:07,760 Speaker 10: If you go back to twenty fifteen to kind of 574 00:29:07,800 --> 00:29:11,280 Speaker 10: illustrate the point that I just made, in twenty fifteen, 575 00:29:11,440 --> 00:29:15,480 Speaker 10: we had a two percent oversupply, so not horribly oversupplied 576 00:29:15,520 --> 00:29:19,080 Speaker 10: market that triggered a sixty percent price decline. That doesn't 577 00:29:19,080 --> 00:29:20,680 Speaker 10: happen in a normal market. You don't have like a 578 00:29:20,720 --> 00:29:24,200 Speaker 10: two percent oversupply and multifamily and a sixty percent decline 579 00:29:24,200 --> 00:29:27,040 Speaker 10: in rents. So that's fundamentally what we're dealing with in 580 00:29:27,120 --> 00:29:29,560 Speaker 10: terms of sort of the sentiment around oil, and that 581 00:29:29,640 --> 00:29:31,160 Speaker 10: kind of goes to the hedge fund point we were 582 00:29:31,160 --> 00:29:34,840 Speaker 10: talking about earlier. I will say that this sentiment around 583 00:29:34,840 --> 00:29:37,320 Speaker 10: oil is a little bit driven by Chinese demand. So 584 00:29:37,480 --> 00:29:40,640 Speaker 10: Chinese demand numbers are not great. They actually contracted in 585 00:29:40,720 --> 00:29:43,240 Speaker 10: Q two on a year over a year basis. However, 586 00:29:43,440 --> 00:29:46,280 Speaker 10: twenty twenty three was exceptionally strong, and China is about 587 00:29:46,280 --> 00:29:49,800 Speaker 10: seventeen percent of the market. When we look at the 588 00:29:49,880 --> 00:29:53,240 Speaker 10: idea that you could extrapolate Chinese demand to what's actually 589 00:29:53,280 --> 00:29:57,320 Speaker 10: going to happen in oil prices, I would say two things. 590 00:29:57,400 --> 00:30:01,040 Speaker 10: Number one, the correlation of Chinese demand to global demand, 591 00:30:01,200 --> 00:30:04,000 Speaker 10: so seventeen million barrels a day of demand to what 592 00:30:04,080 --> 00:30:06,040 Speaker 10: happens with the other eighty three million barrels a day 593 00:30:06,040 --> 00:30:08,560 Speaker 10: of demand is like six point eight percent, So on 594 00:30:08,560 --> 00:30:11,320 Speaker 10: an our square basis, that's meaningless. And if you look 595 00:30:11,360 --> 00:30:14,880 Speaker 10: at Chinese demand, when you look at Chinese demand to 596 00:30:15,240 --> 00:30:18,080 Speaker 10: non OECD demand, which has been a driver oil growth, 597 00:30:18,080 --> 00:30:21,160 Speaker 10: and so that's important, it's zero point one percent, so 598 00:30:21,480 --> 00:30:24,800 Speaker 10: obviously meaningless as well. So China's weighing on sentiment, but 599 00:30:24,840 --> 00:30:26,440 Speaker 10: we need to think about what that actually means in 600 00:30:26,520 --> 00:30:29,880 Speaker 10: terms of global demand growth. And the last thing I 601 00:30:29,880 --> 00:30:34,080 Speaker 10: would say is that oil and gasoline demand were at 602 00:30:34,120 --> 00:30:36,240 Speaker 10: all time highs last year, and they are also at 603 00:30:36,280 --> 00:30:38,560 Speaker 10: all time highs this year, so really nothing. 604 00:30:38,320 --> 00:30:40,680 Speaker 9: To explode three dollars a gallon, I'm coming. 605 00:30:40,440 --> 00:30:46,160 Speaker 3: In gasoline correspondent, this is guy. 606 00:30:46,200 --> 00:30:48,160 Speaker 10: Well, I mean, you could the FED can think oil 607 00:30:48,200 --> 00:30:50,920 Speaker 10: prices for being able to, you know, even entertain a cut. 608 00:30:50,920 --> 00:30:53,240 Speaker 10: If you had ninety to one hundred dollars oil prices 609 00:30:53,320 --> 00:30:54,320 Speaker 10: right now there, it would be. 610 00:30:54,520 --> 00:30:57,800 Speaker 9: Said on an inflation adjusted basis deflation. 611 00:30:58,120 --> 00:30:58,760 Speaker 6: Good question. 612 00:30:58,920 --> 00:31:01,720 Speaker 10: Oil is at two thousand and four levels. Wow, wow, 613 00:31:01,760 --> 00:31:04,920 Speaker 10: which is incredible for the most probably valuable commodity in 614 00:31:04,920 --> 00:31:05,280 Speaker 10: the world. 615 00:31:05,360 --> 00:31:06,680 Speaker 5: So, I mean, of course we're sitting here in a 616 00:31:06,760 --> 00:31:08,760 Speaker 5: very special week. We've got the FED tomorrow. How does 617 00:31:08,800 --> 00:31:10,959 Speaker 5: this all play into that expand a bit more on that. 618 00:31:11,520 --> 00:31:14,440 Speaker 10: Well, you know, obviously, I think when you look at 619 00:31:14,560 --> 00:31:17,520 Speaker 10: the impact to consumers, we also are thinking about it 620 00:31:17,560 --> 00:31:20,000 Speaker 10: being an election year, and I would not say that 621 00:31:20,040 --> 00:31:23,760 Speaker 10: the correlation is you know, it's a spurious, spurious in 622 00:31:23,840 --> 00:31:26,480 Speaker 10: terms of correlation, and it may not be causal. But 623 00:31:26,560 --> 00:31:28,880 Speaker 10: normally we have weak oil prices in an election year. 624 00:31:28,920 --> 00:31:29,600 Speaker 7: That's number one. 625 00:31:29,720 --> 00:31:34,160 Speaker 10: Number two, it's refinery turnaround season after peak driving season, 626 00:31:34,200 --> 00:31:36,640 Speaker 10: and so you are going to have you know, refineries 627 00:31:36,720 --> 00:31:39,360 Speaker 10: undergoing maintenance, so they will be consuming less oil that 628 00:31:39,480 --> 00:31:41,520 Speaker 10: will make demand look a little bit worse, and so 629 00:31:41,680 --> 00:31:43,440 Speaker 10: we're seeing a little bit of an impact from that. 630 00:31:44,040 --> 00:31:47,400 Speaker 10: But you know, when you look at like overall inflation levels, 631 00:31:47,760 --> 00:31:50,600 Speaker 10: inflation has cooled over the past year, but we're not 632 00:31:50,680 --> 00:31:53,400 Speaker 10: back to twenty nineteen levels. We're still you know, if 633 00:31:53,400 --> 00:31:56,200 Speaker 10: you look at the price of bread to gasoline, you're 634 00:31:56,240 --> 00:31:59,600 Speaker 10: still much higher than twenty nineteen levels. And oil just 635 00:32:00,200 --> 00:32:03,720 Speaker 10: has helped a little bit because it probably really is undervalued, 636 00:32:03,800 --> 00:32:05,760 Speaker 10: especially relative to the cost of supply. 637 00:32:06,240 --> 00:32:09,760 Speaker 3: Alps front, at least from my perspective and reporting on 638 00:32:09,840 --> 00:32:13,360 Speaker 3: this whole AI play for global energy, and it comes 639 00:32:13,360 --> 00:32:15,840 Speaker 3: down to simply, you're going to build all these computer 640 00:32:16,080 --> 00:32:18,480 Speaker 3: farms and things and all that kind of stuff. Somebody's 641 00:32:18,480 --> 00:32:21,200 Speaker 3: got to fuel it. And the question is it coal? 642 00:32:21,320 --> 00:32:25,880 Speaker 3: Is it gas? Is it oil? Is it nuclear? How 643 00:32:25,920 --> 00:32:26,960 Speaker 3: do you guys think about that? 644 00:32:26,960 --> 00:32:27,320 Speaker 2: Whole thing? 645 00:32:27,480 --> 00:32:29,720 Speaker 3: Is people trying to say there's an energy play here 646 00:32:29,760 --> 00:32:30,200 Speaker 3: to AI. 647 00:32:30,880 --> 00:32:32,840 Speaker 10: Yeah, I mean the future of AI is going to 648 00:32:32,880 --> 00:32:35,800 Speaker 10: be who controls the energy infrastructure related to it? Clearly, 649 00:32:36,120 --> 00:32:38,680 Speaker 10: and so then the question becomes is it natural gas, 650 00:32:38,880 --> 00:32:40,800 Speaker 10: is it nuclear? Is it renewables? 651 00:32:40,880 --> 00:32:41,480 Speaker 8: Is it coal? 652 00:32:42,640 --> 00:32:44,280 Speaker 10: I think that you know, what we see as big 653 00:32:44,320 --> 00:32:47,800 Speaker 10: tech is certainly hanging hopes on the AI revolution and 654 00:32:47,840 --> 00:32:50,040 Speaker 10: the growth and data centers that will be needed on 655 00:32:50,200 --> 00:32:53,280 Speaker 10: a nuclear renaissance, and there's some interesting things to say 656 00:32:53,320 --> 00:32:56,040 Speaker 10: with respect to that. So number one, uranium prices are 657 00:32:56,040 --> 00:33:00,080 Speaker 10: down twenty percent, and that's partly because Kazakhstan announced that 658 00:33:00,120 --> 00:33:04,800 Speaker 10: it's increasing production a bit. Secondly, the House and Senate 659 00:33:04,960 --> 00:33:08,160 Speaker 10: just passed a ban on Russian imports of uranium, which 660 00:33:08,160 --> 00:33:10,400 Speaker 10: is about twenty percent of the US market. US is 661 00:33:10,400 --> 00:33:12,960 Speaker 10: the largest consumer of uranium in the world and that 662 00:33:13,080 --> 00:33:15,800 Speaker 10: kicks in in twenty twenty eight, so the US consumers 663 00:33:15,800 --> 00:33:18,760 Speaker 10: will be needing to look for alternative sources of supply 664 00:33:18,840 --> 00:33:23,480 Speaker 10: for about twenty percent of their supply. And lastly, we 665 00:33:23,560 --> 00:33:26,400 Speaker 10: are starting to see groups like Amazon go and buy 666 00:33:26,600 --> 00:33:29,280 Speaker 10: nuclear power plants to see if they can power some 667 00:33:29,720 --> 00:33:34,320 Speaker 10: of data centers with uranium powered. Nuclear nuclear is clearly 668 00:33:35,040 --> 00:33:37,400 Speaker 10: carbon neutral, and it also has the most uptime of 669 00:33:37,400 --> 00:33:41,120 Speaker 10: any power producing asset in the world. It's like over 670 00:33:41,240 --> 00:33:45,680 Speaker 10: ninety percent uptime, So uranium is very interesting, especially given 671 00:33:45,720 --> 00:33:48,080 Speaker 10: the selloff. The other question is how much of this 672 00:33:48,120 --> 00:33:50,760 Speaker 10: is powered by natural gas, and that is a very 673 00:33:50,760 --> 00:33:53,920 Speaker 10: interesting strategic question for the US, because the US is 674 00:33:54,440 --> 00:33:56,960 Speaker 10: North America is a natural gas province, and we are 675 00:33:57,000 --> 00:34:00,000 Speaker 10: the Saudi Arabia of natural gas, and we have cheap 676 00:34:00,080 --> 00:34:04,480 Speaker 10: domestics sources, especially with gas at two forty. However, gas 677 00:34:04,520 --> 00:34:07,520 Speaker 10: is in pretty steep contango. So December twenty twenty four 678 00:34:07,560 --> 00:34:10,320 Speaker 10: prices are at three dollars three dollars a M versus 679 00:34:10,360 --> 00:34:13,279 Speaker 10: you know, two forty spot prices, and next year it's 680 00:34:13,320 --> 00:34:16,840 Speaker 10: at three eighty and M. So that it shows that 681 00:34:16,880 --> 00:34:20,160 Speaker 10: we're in pretty steep contango. The market's expecting future higher prices, 682 00:34:20,440 --> 00:34:23,279 Speaker 10: but remember gas is fundamentally driven by weather, and if 683 00:34:23,320 --> 00:34:25,160 Speaker 10: winter doesn't show up this year, as it has not 684 00:34:25,239 --> 00:34:28,080 Speaker 10: for the past three winters, you could see lower prices. 685 00:34:28,120 --> 00:34:30,320 Speaker 3: Although I have to admit, I just got a tweet 686 00:34:30,320 --> 00:34:32,839 Speaker 3: from one of my favorite ski resorts out west. It's 687 00:34:32,840 --> 00:34:33,600 Speaker 3: snowed last night. 688 00:34:33,640 --> 00:34:34,440 Speaker 7: It's coming. 689 00:34:34,480 --> 00:34:37,799 Speaker 5: Good news almost times guess that. 690 00:34:37,880 --> 00:34:38,279 Speaker 7: Guess now? 691 00:34:38,320 --> 00:34:40,000 Speaker 3: I just looked at my little Bloomberg charge down like 692 00:34:40,080 --> 00:34:42,040 Speaker 3: thirty percent from recent highs over the last year. 693 00:34:42,080 --> 00:34:44,920 Speaker 7: So is that a supply issue? 694 00:34:45,120 --> 00:34:47,680 Speaker 10: Yeah, You've had a fair amount of new supply come 695 00:34:47,680 --> 00:34:49,960 Speaker 10: online in the US because of droll and completed wells 696 00:34:49,960 --> 00:34:51,960 Speaker 10: and you also have to remember that most oil wells 697 00:34:52,000 --> 00:34:54,719 Speaker 10: in the US produce natural gas as well. You know, 698 00:34:54,880 --> 00:34:57,960 Speaker 10: like thirty percent of permium production right now is natural gas, 699 00:34:58,000 --> 00:35:00,759 Speaker 10: and as those wells get older, they become gas or overtime. 700 00:35:01,040 --> 00:35:02,719 Speaker 10: So this is one of the reasons that people have 701 00:35:02,760 --> 00:35:06,080 Speaker 10: confidence in building petrochemical and lergy export facilities in the 702 00:35:06,160 --> 00:35:08,719 Speaker 10: US because we have such robust supply and we're even 703 00:35:08,760 --> 00:35:11,480 Speaker 10: getting it basically as a free buy product from our 704 00:35:11,560 --> 00:35:12,360 Speaker 10: oil wells. 705 00:35:12,920 --> 00:35:14,840 Speaker 5: And I know, as we were talking about earlier, hedge 706 00:35:14,840 --> 00:35:17,560 Speaker 5: funds are net suor oil for the first time since 707 00:35:17,560 --> 00:35:20,359 Speaker 5: the datas started being collected in twenty eleven. I mean, 708 00:35:20,400 --> 00:35:22,680 Speaker 5: when we think about smart money making this decision, do 709 00:35:22,680 --> 00:35:24,320 Speaker 5: you think that that permeates into the rest of the 710 00:35:24,360 --> 00:35:26,520 Speaker 5: market when we're looking at investors more broadly. 711 00:35:26,320 --> 00:35:29,520 Speaker 10: I think tactically, Number one, it's refinery season. It's refinery 712 00:35:29,560 --> 00:35:31,759 Speaker 10: maintenance season, so your bid for oil is less. That's 713 00:35:31,840 --> 00:35:35,320 Speaker 10: number one. Number Two, it's an election season, and usually 714 00:35:35,520 --> 00:35:38,160 Speaker 10: prices go down into an election. I mean you could 715 00:35:38,200 --> 00:35:43,320 Speaker 10: say that's in the interest of an incumbents. And then lastly, 716 00:35:43,360 --> 00:35:45,640 Speaker 10: you have a weak Chinese number and that is going 717 00:35:45,640 --> 00:35:48,600 Speaker 10: to spook the market, although we do not think weak 718 00:35:48,760 --> 00:35:51,840 Speaker 10: Chinese demand can be extrapolated to global demand today. So 719 00:35:52,040 --> 00:35:54,759 Speaker 10: if I were tactically positioning, I would say I would 720 00:35:54,800 --> 00:35:58,200 Speaker 10: be pretty net short too, however, but I would probably 721 00:35:58,239 --> 00:36:00,720 Speaker 10: close that trade out pretty quickly because we have probably 722 00:36:00,760 --> 00:36:04,200 Speaker 10: the most disciplined OPEC we've ever had, and OPEK under 723 00:36:04,239 --> 00:36:07,200 Speaker 10: the current Saudi leadership is very focused on price stability. 724 00:36:07,200 --> 00:36:08,840 Speaker 10: They do not want thirty they do not want one 725 00:36:08,920 --> 00:36:10,840 Speaker 10: hundred and twenty dollars oil. They really want it to 726 00:36:10,880 --> 00:36:13,480 Speaker 10: stay in a tight band because they view that as 727 00:36:13,520 --> 00:36:15,759 Speaker 10: best for their customers, and they've done a very good 728 00:36:15,840 --> 00:36:18,680 Speaker 10: job governing the market. So you know, just an example 729 00:36:18,680 --> 00:36:20,560 Speaker 10: of that is two weeks ago, OPEC came out and 730 00:36:20,600 --> 00:36:22,560 Speaker 10: said we were supposed to increase production one hundred and 731 00:36:22,560 --> 00:36:24,839 Speaker 10: eighty thousand barrels a day, and we won't. And that's 732 00:36:24,880 --> 00:36:27,120 Speaker 10: how they're governing the market. So I think you can 733 00:36:27,120 --> 00:36:29,759 Speaker 10: make these tactical trades, but you're probably trading in a 734 00:36:29,800 --> 00:36:30,359 Speaker 10: tighter band. 735 00:36:30,400 --> 00:36:30,520 Speaker 6: Now. 736 00:36:30,520 --> 00:36:32,080 Speaker 10: It doesn't mean that you won't. You couldn't have a 737 00:36:32,120 --> 00:36:35,600 Speaker 10: temporary real trade off or trade up, but I think 738 00:36:35,680 --> 00:36:37,719 Speaker 10: you have a market that's being governed in bands the 739 00:36:37,800 --> 00:36:39,880 Speaker 10: way that it wasn't in two thousand and eight, for example, 740 00:36:40,440 --> 00:36:40,879 Speaker 10: is the. 741 00:36:40,800 --> 00:36:43,239 Speaker 3: Fact that the US is now a net exporter for 742 00:36:43,280 --> 00:36:46,880 Speaker 3: the first time like in ever? Does that undercut Opek's 743 00:36:46,920 --> 00:36:49,680 Speaker 3: ability to really be that driver of price. 744 00:36:49,880 --> 00:36:52,320 Speaker 10: OPEC has teamed up with Russia and they are definitely 745 00:36:52,320 --> 00:36:55,000 Speaker 10: the largest producer in the world. US is like thirteen 746 00:36:55,000 --> 00:36:56,120 Speaker 10: percent of supply. 747 00:36:56,440 --> 00:36:58,359 Speaker 7: So a lot though, isn't that on the margin? Does 748 00:36:58,400 --> 00:36:59,080 Speaker 7: that not impact that? 749 00:36:59,280 --> 00:37:01,600 Speaker 3: So I got some knucklehead in Texas or you know, 750 00:37:01,680 --> 00:37:04,800 Speaker 3: Louisiana pump and oil because he or she can and 751 00:37:04,840 --> 00:37:07,000 Speaker 3: their cost is for your fifty dollars a barrel? 752 00:37:07,760 --> 00:37:09,200 Speaker 7: Is that not impact the world markets? 753 00:37:09,360 --> 00:37:09,760 Speaker 2: It does? 754 00:37:10,000 --> 00:37:12,960 Speaker 10: It absolutely does. The point I'm really making is that 755 00:37:13,000 --> 00:37:16,359 Speaker 10: OPEK has a cartel with Russia, controls over a third 756 00:37:16,400 --> 00:37:20,640 Speaker 10: of global production, and they have been committed to price stability. 757 00:37:21,200 --> 00:37:24,920 Speaker 10: But yes, of global production growth over the past ten 758 00:37:24,960 --> 00:37:28,000 Speaker 10: years has come from the United States. Right, the United 759 00:37:28,040 --> 00:37:29,240 Speaker 10: States is really only jurisdiction. 760 00:37:29,480 --> 00:37:32,359 Speaker 9: But here's here's the final question. Can you answer this one? 761 00:37:32,360 --> 00:37:34,840 Speaker 9: Because nobody else can and I can't and you can't. 762 00:37:35,400 --> 00:37:38,759 Speaker 9: Why can't we pump gas in New Jersey? 763 00:37:39,360 --> 00:37:43,640 Speaker 5: Do you have any ideas The question of the day it. 764 00:37:43,719 --> 00:37:45,200 Speaker 9: Actually there are only two states. 765 00:37:45,200 --> 00:37:47,919 Speaker 5: It's I don't think it's you mean where they pump 766 00:37:48,000 --> 00:37:49,400 Speaker 5: it for you, right. 767 00:37:49,880 --> 00:37:53,080 Speaker 7: A pump it for you organ. That organ just went 768 00:37:53,160 --> 00:37:55,040 Speaker 7: to like, it's a good question. 769 00:37:55,200 --> 00:37:56,359 Speaker 5: I think it's a luxury. 770 00:37:56,600 --> 00:38:01,440 Speaker 7: I agree, and it's a luxury for you. Thanks Homer. 771 00:38:01,640 --> 00:38:03,200 Speaker 3: All right, that's how we roll, Kate. We see when 772 00:38:03,200 --> 00:38:05,359 Speaker 3: Alex is not here, we go off the rails. Yber. 773 00:38:05,400 --> 00:38:07,480 Speaker 7: We appreciate it. Kate. Thank you so much for joining us. 774 00:38:07,560 --> 00:38:10,080 Speaker 3: You know some of the smartest talk that we have 775 00:38:10,160 --> 00:38:13,359 Speaker 3: discussion that we have on global energy, thanks to Kate 776 00:38:13,440 --> 00:38:17,160 Speaker 3: Richards as CEO and co CIO of Wark Investment Group 777 00:38:17,239 --> 00:38:19,520 Speaker 3: joining us live here in our Bloomberg Interactive Broker studio. 778 00:38:19,760 --> 00:38:24,239 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apples, Spotify, 779 00:38:24,480 --> 00:38:27,680 Speaker 2: and anywhere else you get your podcasts. Listen live each 780 00:38:27,680 --> 00:38:31,080 Speaker 2: weekday ten am to noon Eastern on Bloomberg dot Com, 781 00:38:31,160 --> 00:38:34,560 Speaker 2: the iHeartRadio app, tune In, and the Bloomberg Business app. 782 00:38:34,680 --> 00:38:37,799 Speaker 2: You can also watch us live every weekday on YouTube 783 00:38:37,920 --> 00:38:39,760 Speaker 2: and always on the Bloomberg terminal