1 00:00:02,920 --> 00:00:08,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:09,960 --> 00:00:13,840 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 3 00:00:13,920 --> 00:00:17,000 Speaker 2: weekdays at ten am Eastern on Apple Car playing Android 4 00:00:17,040 --> 00:00:20,120 Speaker 2: Auto with the Bloomberg Business App. Listen on demand wherever 5 00:00:20,200 --> 00:00:24,040 Speaker 2: you get your podcasts, or watch us live on YouTube. 6 00:00:25,280 --> 00:00:28,320 Speaker 3: US shoppers spend fourteen point two billion dollars during a 7 00:00:28,400 --> 00:00:31,120 Speaker 3: prime day. I was not one of them, but that's 8 00:00:31,200 --> 00:00:33,160 Speaker 3: up eleven percent from a year ago, as Lisa was reporting, 9 00:00:33,200 --> 00:00:35,120 Speaker 3: so pretty solid results here. You got to like that 10 00:00:35,120 --> 00:00:38,279 Speaker 3: if you're an Amazon follower. Punam Goyle. She is an 11 00:00:38,280 --> 00:00:42,760 Speaker 3: Amazon follower, senior US equity, e commerce and retail analysts 12 00:00:42,760 --> 00:00:45,800 Speaker 3: for Bloomberg Intelligence, joining us from Princeton, New Jersey via 13 00:00:45,840 --> 00:00:48,760 Speaker 3: zoom pullm that the numbers Lisa was just reporting, you know, 14 00:00:48,800 --> 00:00:51,560 Speaker 3: eleven billion. I'm fourteen point two billion dollars, eleven percent 15 00:00:51,600 --> 00:00:53,640 Speaker 3: growth year every year. That seems pretty good to me. 16 00:00:53,920 --> 00:00:54,440 Speaker 3: What do you think? 17 00:00:55,400 --> 00:00:57,440 Speaker 4: Yeah, the numbers are great. You know, they continue to 18 00:00:57,480 --> 00:01:00,880 Speaker 4: show that shoppers are focused on sales and their seating value, 19 00:01:01,040 --> 00:01:04,240 Speaker 4: and when Amazon and others have events such as these, 20 00:01:04,600 --> 00:01:07,800 Speaker 4: they do drive traffic and conversion onto the platforms. So 21 00:01:07,959 --> 00:01:12,320 Speaker 4: really good numbers likely some pull forward and spend, so 22 00:01:12,400 --> 00:01:14,840 Speaker 4: you will probably see things will taper off a little 23 00:01:14,840 --> 00:01:17,800 Speaker 4: bit after the Prime Day sales event, but nonetheless a 24 00:01:17,920 --> 00:01:20,640 Speaker 4: very strong start. It seems to three Q for Amazon. 25 00:01:20,800 --> 00:01:21,000 Speaker 5: Yeah. 26 00:01:21,040 --> 00:01:22,960 Speaker 3: I was just looking at eMarketer, which I know is 27 00:01:23,000 --> 00:01:24,920 Speaker 3: an independent group that kind of looks at this stuff. 28 00:01:24,920 --> 00:01:27,520 Speaker 3: They were expecting your shoppers to spend eight point two 29 00:01:27,560 --> 00:01:30,080 Speaker 3: billion dollars on Amazon during the event, So I guess 30 00:01:30,080 --> 00:01:31,760 Speaker 3: better than expected as a way to think about it. 31 00:01:32,720 --> 00:01:35,080 Speaker 4: Yes, I mean the numbers are a little different because 32 00:01:35,080 --> 00:01:38,200 Speaker 4: the numbers that Adobe reported are not just on Amazon, 33 00:01:38,200 --> 00:01:42,760 Speaker 4: they're total online sales okay, but nonetheless very strong results, 34 00:01:42,800 --> 00:01:45,640 Speaker 4: and they are better than Adobe's initial estimates for a 35 00:01:45,680 --> 00:01:47,240 Speaker 4: ten point five percent increase. 36 00:01:47,840 --> 00:01:50,320 Speaker 3: Average households spend one hundred and fifty two bucks on 37 00:01:50,400 --> 00:01:53,320 Speaker 3: Amazon on Prime Day. That sounds like a good number 38 00:01:53,320 --> 00:01:54,680 Speaker 3: as well. How does that stack out? 39 00:01:55,800 --> 00:01:58,760 Speaker 4: It's like good number. We expected Amazon shoppers to shop 40 00:01:58,880 --> 00:02:01,040 Speaker 4: less this year on Prime Day than last year according 41 00:02:01,080 --> 00:02:03,200 Speaker 4: to our own survey that we ran ahead of Prime Day, 42 00:02:03,440 --> 00:02:06,760 Speaker 4: so no surprise there. As you know, shoppers are crunched 43 00:02:06,800 --> 00:02:09,359 Speaker 4: for cash and they are trying to be picky and 44 00:02:09,440 --> 00:02:12,359 Speaker 4: choosy on where they spend what they spend shopping really 45 00:02:12,400 --> 00:02:14,839 Speaker 4: on the lists that they had going into Prime Day. 46 00:02:15,120 --> 00:02:17,880 Speaker 4: So we're seeing a little bit of that, but overall, 47 00:02:17,919 --> 00:02:21,679 Speaker 4: more shoppers joined Prime Day this year, reported by Amazon, 48 00:02:21,960 --> 00:02:24,000 Speaker 4: which proves to be even more encouraging because you know, 49 00:02:24,040 --> 00:02:27,400 Speaker 4: when you see that, you know that trend hopefully holds 50 00:02:27,440 --> 00:02:31,040 Speaker 4: up and drives more shopping on the platform even after 51 00:02:31,120 --> 00:02:31,639 Speaker 4: Prime Day. 52 00:02:32,400 --> 00:02:35,359 Speaker 3: You know, you see numbers like the Amazon Prime Day 53 00:02:35,440 --> 00:02:37,200 Speaker 3: number of the eleven percent growth year every year. It 54 00:02:37,200 --> 00:02:39,800 Speaker 3: seems like a really strong number. We had Retail sales 55 00:02:39,840 --> 00:02:43,240 Speaker 3: earlier in the week came in better than expected. You know, 56 00:02:43,600 --> 00:02:45,840 Speaker 3: I know the consumer's hurting out there. I know inflation's 57 00:02:45,880 --> 00:02:49,240 Speaker 3: hitting a lot of folks really hard, but it doesn't 58 00:02:49,240 --> 00:02:51,959 Speaker 3: seem like we're seeing in the spending. How do you 59 00:02:52,000 --> 00:02:53,160 Speaker 3: guys think about it? What do you hear from the 60 00:02:53,160 --> 00:02:53,919 Speaker 3: companies that you cover? 61 00:02:54,840 --> 00:02:57,040 Speaker 4: Yeah, I think it depends on the retailers that you're 62 00:02:57,080 --> 00:02:59,280 Speaker 4: looking at. I do think that, you know, we've talked 63 00:02:59,280 --> 00:03:02,360 Speaker 4: about this in the past, where the value customer is 64 00:03:02,400 --> 00:03:05,120 Speaker 4: trading down. We've seen that in the results earlier this 65 00:03:05,200 --> 00:03:07,960 Speaker 4: year at Walmart, where numbers are strong because they are 66 00:03:08,040 --> 00:03:11,560 Speaker 4: driving in more customers into their doors and online, and 67 00:03:11,600 --> 00:03:14,360 Speaker 4: then the middle you know, the department stores. They continue 68 00:03:14,440 --> 00:03:17,440 Speaker 4: to get squeezed to the large extent, and I think 69 00:03:17,520 --> 00:03:21,080 Speaker 4: that trend will continue. So I do think that where 70 00:03:21,120 --> 00:03:25,120 Speaker 4: there's the right product the right price, customers are going there. 71 00:03:25,280 --> 00:03:29,119 Speaker 4: They're still going to experiences, They're going for convenience, which 72 00:03:29,160 --> 00:03:31,799 Speaker 4: is where Amazon plays a big role. But they are 73 00:03:31,800 --> 00:03:35,080 Speaker 4: being picky and choosy, and there will be some bifurcation 74 00:03:35,200 --> 00:03:39,280 Speaker 4: when they report between the numbers because not everyone will 75 00:03:39,280 --> 00:03:41,640 Speaker 4: do well as we're hearing and seeing in these numbers. 76 00:03:42,480 --> 00:03:45,240 Speaker 3: It's only mid July, but I guess people with kids 77 00:03:45,280 --> 00:03:47,200 Speaker 3: have to start thinking about back this school. My guys 78 00:03:47,200 --> 00:03:51,080 Speaker 3: are all out of that stage, thankfully. What's the back 79 00:03:51,120 --> 00:03:53,800 Speaker 3: to school season look like this year? What are the expectations. 80 00:03:54,720 --> 00:03:57,200 Speaker 4: Yeah, the expectations are for back to school season sales 81 00:03:57,200 --> 00:03:59,320 Speaker 4: to grow and Prime Day is going to help with that. 82 00:03:59,720 --> 00:04:02,760 Speaker 4: This year's Prime Day event came a little later in 83 00:04:02,800 --> 00:04:05,320 Speaker 4: the season, which means that more back to school shopping 84 00:04:05,400 --> 00:04:09,720 Speaker 4: likely occurred, dorm shopping, etc. On the Prime Day sales event. 85 00:04:10,200 --> 00:04:14,640 Speaker 4: That said, you know, you will see people buy backpacks, 86 00:04:14,720 --> 00:04:16,760 Speaker 4: you will see them by supplies, you will see them 87 00:04:16,800 --> 00:04:20,680 Speaker 4: shop for dorm room stuff and apparel. But at the 88 00:04:20,680 --> 00:04:23,279 Speaker 4: same time, where are they shopping for that. I think 89 00:04:23,320 --> 00:04:25,400 Speaker 4: the retailers that are going to drive that spend are 90 00:04:25,400 --> 00:04:27,880 Speaker 4: continuing to be the same. It's going to be the Amazon's, 91 00:04:27,920 --> 00:04:30,560 Speaker 4: It's going to be the walmarts, the targets where they 92 00:04:30,560 --> 00:04:32,440 Speaker 4: can get the value that they're looking for. 93 00:04:33,600 --> 00:04:37,120 Speaker 3: So what is the expectation for the holiday season this year? 94 00:04:38,440 --> 00:04:41,920 Speaker 3: Are you guys forecasting growth in holiday spending? Because I 95 00:04:41,960 --> 00:04:44,440 Speaker 3: know that's the big part for the big season for retailers. 96 00:04:45,279 --> 00:04:47,640 Speaker 4: We are expecting growth this holiday season, but I do 97 00:04:47,640 --> 00:04:50,279 Speaker 4: think there are challenges as we enter the holiday season. 98 00:04:50,560 --> 00:04:53,960 Speaker 4: Keep in mind that the retail calendar is different this year, 99 00:04:54,000 --> 00:04:57,039 Speaker 4: so it is a tougher calendar. Comparison. Last year was 100 00:04:57,200 --> 00:04:59,799 Speaker 4: very very strong. Last year had some extra selling days, 101 00:05:00,120 --> 00:05:04,080 Speaker 4: so the calendar shakes up as being a headwind and 102 00:05:04,120 --> 00:05:06,920 Speaker 4: going into the holiday season. That said, with elections and 103 00:05:07,000 --> 00:05:09,840 Speaker 4: just so many other things happening this year, we do 104 00:05:09,880 --> 00:05:12,360 Speaker 4: think the consumer is going to be a little diverted, 105 00:05:12,680 --> 00:05:15,400 Speaker 4: so retailers will have to work harder to capture their 106 00:05:15,440 --> 00:05:18,359 Speaker 4: spend and it will be a tougher holiday season. But 107 00:05:18,400 --> 00:05:20,680 Speaker 4: we do see some growth still this year. 108 00:05:21,839 --> 00:05:24,440 Speaker 3: What are we seeing just in the dynamic punum of 109 00:05:24,600 --> 00:05:28,799 Speaker 3: the of the bricks and mortar versus e commerce Because 110 00:05:28,800 --> 00:05:30,560 Speaker 3: we had gone through i'm going to say almost a 111 00:05:30,600 --> 00:05:36,200 Speaker 3: generation of downsizing retail footprint in the United States, and 112 00:05:36,240 --> 00:05:37,520 Speaker 3: I kind of got the sense that they're in a 113 00:05:37,560 --> 00:05:40,120 Speaker 3: pandemic that kind of slowed, if not reversed a little bit. 114 00:05:40,120 --> 00:05:43,640 Speaker 3: Where are we on that dynamic beyond between I need 115 00:05:43,640 --> 00:05:46,560 Speaker 3: to own some brick and mortar versus you know, I 116 00:05:46,600 --> 00:05:48,600 Speaker 3: can kind of go lean more heavily on retail. 117 00:05:48,760 --> 00:05:52,480 Speaker 4: On etail, sure, so I think, you know, we'll always 118 00:05:52,520 --> 00:05:55,000 Speaker 4: need brick and mortar store. They don't think they go away. 119 00:05:55,040 --> 00:05:57,279 Speaker 4: But we've talked about this before. I do think we 120 00:05:57,320 --> 00:06:00,320 Speaker 4: need some balance, and we're still continuing to push forward 121 00:06:00,400 --> 00:06:04,000 Speaker 4: on that balance. There will be more consolidation in retail. 122 00:06:04,680 --> 00:06:08,200 Speaker 4: I think it's necessary because we still are overstored. But 123 00:06:08,279 --> 00:06:11,000 Speaker 4: at the same time, we have retailers coming in from 124 00:06:11,040 --> 00:06:14,760 Speaker 4: abroad that are expanding. Whether it's the Primarks once again 125 00:06:14,760 --> 00:06:17,760 Speaker 4: of value play, or whether it's the Alds and some 126 00:06:17,800 --> 00:06:21,720 Speaker 4: of the Grosers. We are seeing them take space as 127 00:06:21,760 --> 00:06:23,919 Speaker 4: they encroach on the US landscape. 128 00:06:24,080 --> 00:06:24,839 Speaker 6: That's that our. 129 00:06:24,839 --> 00:06:29,480 Speaker 4: Estimates call for retail sales growing to a third, retail 130 00:06:29,520 --> 00:06:31,840 Speaker 4: sales growing to a third of total retail sales, up 131 00:06:31,839 --> 00:06:36,599 Speaker 4: from twenty five percent last year. So still high single digit, 132 00:06:36,720 --> 00:06:40,080 Speaker 4: double digit growth in the online landscape for the next 133 00:06:40,160 --> 00:06:43,320 Speaker 4: five to seven years, which means that people will be 134 00:06:43,400 --> 00:06:46,480 Speaker 4: shopping less eforic and mortars and more online. And we 135 00:06:46,560 --> 00:06:49,039 Speaker 4: saw that trend come back, you know, right after the pandemic, 136 00:06:49,400 --> 00:06:52,359 Speaker 4: you saw this rush to stores because people wanted the 137 00:06:52,400 --> 00:06:55,760 Speaker 4: experience of seeing things, touching things being out there. But 138 00:06:55,880 --> 00:06:58,400 Speaker 4: now they've normalized again and we are seeing the shift 139 00:06:58,480 --> 00:07:00,000 Speaker 4: back to shopping more online. 140 00:07:00,760 --> 00:07:03,240 Speaker 3: All right, interesting stuff. Put them Goyle, Thank you so 141 00:07:03,320 --> 00:07:06,040 Speaker 3: much for joining us. Put Them Goyle, Senior US e 142 00:07:06,080 --> 00:07:09,440 Speaker 3: Commerce and Retail Annis Bloomberg Intelligence. Joining us via zoom 143 00:07:09,520 --> 00:07:11,560 Speaker 3: from Princeton. 144 00:07:11,760 --> 00:07:15,640 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 145 00:07:15,720 --> 00:07:17,560 Speaker 2: weekdays at ten am Eastern on. 146 00:07:17,600 --> 00:07:19,800 Speaker 5: Apple card Play and Android Auto with. 147 00:07:19,760 --> 00:07:22,640 Speaker 2: The Bloomberg Business app. You can also listen live on 148 00:07:22,720 --> 00:07:25,960 Speaker 2: Amazon Alexa from our flagship New York station. Just say 149 00:07:26,040 --> 00:07:29,120 Speaker 2: Alexa play Bloomberg eleven thirty. 150 00:07:30,240 --> 00:07:31,760 Speaker 3: Let's talk to from Earning Shore. We had a big 151 00:07:32,360 --> 00:07:35,400 Speaker 3: earnings play coming out of the financial services Blackstone profit. 152 00:07:36,360 --> 00:07:39,880 Speaker 3: Blackstone just huge, huge asset manager. It's just amazing how 153 00:07:39,920 --> 00:07:43,120 Speaker 3: big they've become on global Wall Street. But their profit 154 00:07:43,160 --> 00:07:46,160 Speaker 3: missed estimates as real estate exit slow. Let's bring in 155 00:07:46,160 --> 00:07:49,080 Speaker 3: Paul Goldberg. He follows that part of the financial services 156 00:07:49,080 --> 00:07:52,560 Speaker 3: sector for us. Paul Blackstone doesn't get any bigger, more 157 00:07:52,600 --> 00:07:56,160 Speaker 3: influential from an asset management perspective than our friends at Blackstone. 158 00:07:56,440 --> 00:07:58,160 Speaker 3: Talk to us about the quarter they just reported. 159 00:08:00,080 --> 00:08:02,680 Speaker 7: Thank you for having me. The quarter was more and 160 00:08:02,680 --> 00:08:04,960 Speaker 7: more or less as expected. You did mention and missed 161 00:08:04,960 --> 00:08:08,720 Speaker 7: by a few pennies. But a lot of the profitability 162 00:08:08,840 --> 00:08:12,040 Speaker 7: depends on realization activity, which was slow, and it wasn't 163 00:08:12,080 --> 00:08:14,200 Speaker 7: just the real estate. It was kind of on the 164 00:08:14,440 --> 00:08:19,239 Speaker 7: slower end across the segments and the strategies that they cover. 165 00:08:19,880 --> 00:08:22,960 Speaker 7: So I don't think it's surprising. And what we've saw 166 00:08:23,400 --> 00:08:25,800 Speaker 7: is what we're kind of seeing in the headlines. The 167 00:08:25,840 --> 00:08:29,880 Speaker 7: private equity is improving but slowly. Real estate's still kind 168 00:08:29,880 --> 00:08:32,240 Speaker 7: of dragging its feet, and the private credit is being 169 00:08:32,360 --> 00:08:35,960 Speaker 7: very strong. So the profitability that they showed was very 170 00:08:36,040 --> 00:08:37,080 Speaker 7: much along those lines. 171 00:08:37,640 --> 00:08:41,559 Speaker 3: What are they saying about the real commercial real estate business? 172 00:08:41,600 --> 00:08:43,560 Speaker 3: Because when I think about that business. I think about 173 00:08:43,600 --> 00:08:46,080 Speaker 3: the Blackstones of the world, I think about Morgan Stanley. 174 00:08:46,080 --> 00:08:49,160 Speaker 3: They've always been big investors in real estate. What are 175 00:08:49,200 --> 00:08:52,400 Speaker 3: the smart people telling you about that part of the market. 176 00:08:53,920 --> 00:08:56,880 Speaker 7: The smart people that Blackstone said, we got out of 177 00:08:56,920 --> 00:09:00,720 Speaker 7: that market, so not not completely. So there's still a 178 00:09:00,720 --> 00:09:03,200 Speaker 7: few percentage of the portfolio in the US real estate, 179 00:09:03,240 --> 00:09:06,880 Speaker 7: and they still mention that it's pretty painful and globally 180 00:09:06,920 --> 00:09:09,200 Speaker 7: there is some commercial real estate that they're in, but 181 00:09:09,400 --> 00:09:13,240 Speaker 7: three quarters of the real estate portfolio is in multifamily 182 00:09:13,720 --> 00:09:17,760 Speaker 7: logistic data centers where they're pushing with their AI. It's 183 00:09:17,800 --> 00:09:21,720 Speaker 7: a very different composition. Can you see idiosyncratic pains, something 184 00:09:21,960 --> 00:09:25,200 Speaker 7: going out of line, Yes, absolutely, But in terms of 185 00:09:25,240 --> 00:09:28,240 Speaker 7: the future growth, I think they're positioned quite differently from 186 00:09:28,280 --> 00:09:30,000 Speaker 7: the kind of seen from the banks. 187 00:09:30,320 --> 00:09:32,680 Speaker 3: And Blackstone is up about three and a half percent today, 188 00:09:32,880 --> 00:09:35,360 Speaker 3: the stock at a fifty two week high. What are 189 00:09:35,360 --> 00:09:38,320 Speaker 3: they saying about deal activity here? Because I know Paul, 190 00:09:38,360 --> 00:09:41,880 Speaker 3: the m and A market, the IPO market the last 191 00:09:41,960 --> 00:09:44,240 Speaker 3: couple of years has been pretty slow, so it's tough 192 00:09:44,240 --> 00:09:47,000 Speaker 3: for the Blackstones of the world to kind of realize 193 00:09:47,280 --> 00:09:50,520 Speaker 3: and get some liquidity on their investments. What are they 194 00:09:50,520 --> 00:09:51,120 Speaker 3: saying about that? 195 00:09:52,080 --> 00:09:55,839 Speaker 7: Yeah, so some green shoots there some improvement in second quarter, 196 00:09:55,920 --> 00:09:59,320 Speaker 7: although obviously not material enough to lift the earnings, but 197 00:09:59,440 --> 00:10:03,560 Speaker 7: they're seeing getting better into a second half and most 198 00:10:03,559 --> 00:10:05,360 Speaker 7: of it and they kind of mentioned it three months 199 00:10:05,400 --> 00:10:07,480 Speaker 7: ago on the earnings call. We'll probably have to wait 200 00:10:07,520 --> 00:10:09,240 Speaker 7: till the end of the year and go into the 201 00:10:09,280 --> 00:10:12,640 Speaker 7: twenty five for material improvement. And that's what you're kind 202 00:10:12,679 --> 00:10:16,160 Speaker 7: of seen in the consensus reflected that people do see 203 00:10:16,800 --> 00:10:20,640 Speaker 7: a significant lift. And in terms of activity, they deployed 204 00:10:20,640 --> 00:10:24,160 Speaker 7: thirty four billion dollars. They had almost forty billion dollars 205 00:10:24,160 --> 00:10:27,720 Speaker 7: of being closed during the quarter. So the activity is improving. 206 00:10:27,880 --> 00:10:29,839 Speaker 7: It's not at the twenty twenty one levels, and it 207 00:10:29,840 --> 00:10:33,400 Speaker 7: will take some time to get back there, but it's better. 208 00:10:34,120 --> 00:10:37,080 Speaker 3: Hey, Paul, you know when you think Blackstoney thinks Stephen Schwartzman, 209 00:10:37,160 --> 00:10:39,480 Speaker 3: the chairman, the CEO, the co founder, one of the 210 00:10:39,559 --> 00:10:43,840 Speaker 3: all time greats of the giants in private equity. He's 211 00:10:43,880 --> 00:10:46,680 Speaker 3: seventy seven years old. And I know Jonathan Gray there 212 00:10:46,800 --> 00:10:49,880 Speaker 3: is the president's COO and he's fifty four. What is 213 00:10:49,880 --> 00:10:52,680 Speaker 3: a succession plan there at Blackstone? 214 00:10:54,320 --> 00:10:56,600 Speaker 7: You did mention the two figures and it kind of 215 00:10:56,640 --> 00:11:00,720 Speaker 7: looks pretty straight at the moment unless things engine. But 216 00:11:00,800 --> 00:11:04,920 Speaker 7: Jonathan Gray has been doing a great job and Schwartzman 217 00:11:05,120 --> 00:11:07,920 Speaker 7: is not planning to step away as we see in 218 00:11:07,960 --> 00:11:10,560 Speaker 7: at the moment. But there's a line of succession that's 219 00:11:10,600 --> 00:11:11,560 Speaker 7: clearly there. 220 00:11:12,160 --> 00:11:15,080 Speaker 3: Paul, Are they is Blackson in a capital raise mode? 221 00:11:15,080 --> 00:11:15,240 Speaker 8: Now? 222 00:11:15,240 --> 00:11:18,080 Speaker 3: Where are they in terms of their capital. 223 00:11:18,400 --> 00:11:21,120 Speaker 7: I think with one point one trillion dollars of assets 224 00:11:21,120 --> 00:11:25,480 Speaker 7: on management and different buckets that I discussed earlier, they 225 00:11:25,679 --> 00:11:30,560 Speaker 7: constantly in the fundraising mode. So the big areas where 226 00:11:30,559 --> 00:11:35,080 Speaker 7: they fundraising, they fundraising, and infrastructure they're fundraising, and mentioned 227 00:11:35,160 --> 00:11:39,320 Speaker 7: data centers, then fundraising in wealth strategies. They have already 228 00:11:39,360 --> 00:11:41,800 Speaker 7: two hundred and forty billion dollars of assets that in 229 00:11:41,840 --> 00:11:45,439 Speaker 7: different wealth strategies. Early in the year. Last year we 230 00:11:45,520 --> 00:11:49,240 Speaker 7: had some issues where you saw some outflows from wealth strategies. 231 00:11:49,440 --> 00:11:53,079 Speaker 7: They all positive this quarter, so those are so those 232 00:11:53,120 --> 00:11:55,440 Speaker 7: are good things. And then they talked about the big 233 00:11:55,520 --> 00:11:59,240 Speaker 7: flagship funds. They're raising more of them in the second 234 00:11:59,679 --> 00:12:03,480 Speaker 7: half and even more coming back in twenty twenty five, 235 00:12:03,679 --> 00:12:05,920 Speaker 7: which helps their peace YEP. 236 00:12:06,280 --> 00:12:08,680 Speaker 3: Absolutely all right, Paul, thanks very much, appreciate it. As 237 00:12:08,720 --> 00:12:11,960 Speaker 3: always Paul Goldberg. He's a senior echoanalyst Bloomberg Intelligence. He 238 00:12:12,000 --> 00:12:14,719 Speaker 3: covers a lot of those asset managers, the kqrs, the 239 00:12:14,760 --> 00:12:17,560 Speaker 3: blackstones of the world. He also covers the Canadian banks, 240 00:12:17,960 --> 00:12:19,720 Speaker 3: so he does it all for Bloomberg Intelligence. He's then 241 00:12:19,800 --> 00:12:20,320 Speaker 3: in Princeton. 242 00:12:21,840 --> 00:12:25,720 Speaker 2: You're listening to the Bloomberg Intelligence podcast. Catch us live 243 00:12:25,800 --> 00:12:29,120 Speaker 2: weekdays at ten am Eastern on AFOCAR, playing Android otto 244 00:12:29,240 --> 00:12:32,160 Speaker 2: with the Bloomberg Business App. Listen on demand wherever you 245 00:12:32,240 --> 00:12:36,360 Speaker 2: get your podcasts, or watch us live on YouTube. 246 00:12:37,120 --> 00:12:39,120 Speaker 3: Matt Miller sitting in for Alex Steel here today on 247 00:12:39,200 --> 00:12:41,680 Speaker 3: Paul Sooney. You live here on our Bloomberg Interactive Brokers studio, 248 00:12:41,760 --> 00:12:44,600 Speaker 3: streaming live on YouTube as well. 249 00:12:44,640 --> 00:12:44,880 Speaker 1: Here. 250 00:12:44,920 --> 00:12:47,720 Speaker 3: We had a raft of economic data recently, including today, 251 00:12:47,760 --> 00:12:49,840 Speaker 3: we had the initial jobless claims. Give me a little 252 00:12:49,840 --> 00:12:51,959 Speaker 3: bit higher than expect it. But I don't know. The 253 00:12:52,080 --> 00:12:54,880 Speaker 3: question I think is has this been a reserve already 254 00:12:54,880 --> 00:12:57,000 Speaker 3: gotten us a soft landing. I don't know. It feels 255 00:12:57,000 --> 00:12:59,040 Speaker 3: like it ticking with a professional who does the stuff 256 00:12:59,080 --> 00:13:01,920 Speaker 3: for a living wall this joins us in studio. How 257 00:13:01,920 --> 00:13:03,560 Speaker 3: good is that? So he gets a gold star. He's 258 00:13:03,559 --> 00:13:07,040 Speaker 3: the chief economist over at RSM Joe, how's our FED 259 00:13:07,080 --> 00:13:08,559 Speaker 3: done here in landing this economy? 260 00:13:08,679 --> 00:13:09,000 Speaker 5: Okay? 261 00:13:09,040 --> 00:13:10,319 Speaker 8: So you know, when we look back on this in 262 00:13:10,360 --> 00:13:11,880 Speaker 8: a number of years, we're gonna think the FED did 263 00:13:11,920 --> 00:13:16,119 Speaker 8: an extraordinary did an extraordinary thing, a real policy achievement 264 00:13:16,360 --> 00:13:19,160 Speaker 8: in bringing the US economy in for soft landing after 265 00:13:19,320 --> 00:13:21,959 Speaker 8: hiking the federal funds rate by five hundred and fifty 266 00:13:21,960 --> 00:13:24,680 Speaker 8: basis points. You know what, the FED was truly data dependent. 267 00:13:25,000 --> 00:13:27,520 Speaker 8: We wouldn't be waiting for a September cut to be cutting. 268 00:13:27,600 --> 00:13:27,920 Speaker 1: Now. 269 00:13:28,200 --> 00:13:29,760 Speaker 8: As a matter of fact, if you're all out there, 270 00:13:29,800 --> 00:13:32,400 Speaker 8: look at the tayl on your Bloomberg terminal. 271 00:13:32,840 --> 00:13:34,880 Speaker 6: Ah, the tailor rule. I love that function. 272 00:13:34,960 --> 00:13:38,960 Speaker 8: Actually, you can estimate the Fed's reaction function using four 273 00:13:39,000 --> 00:13:41,880 Speaker 8: percent as a non accelering rate of inflation and unemployment. 274 00:13:42,040 --> 00:13:44,760 Speaker 8: That's the Fed's estimate, and I would suggest a neutral 275 00:13:44,800 --> 00:13:48,240 Speaker 8: rate of one point one. You get an optimal rate 276 00:13:48,360 --> 00:13:52,440 Speaker 8: of three point nine percent, which implies the Fed's policy rate, people, 277 00:13:52,640 --> 00:13:54,320 Speaker 8: is way too tight. 278 00:13:54,440 --> 00:13:56,400 Speaker 6: Why do you choose a neutral rate of one point one? 279 00:13:56,440 --> 00:13:57,120 Speaker 6: Isn't it higher? 280 00:13:57,640 --> 00:13:57,720 Speaker 4: No? 281 00:13:57,840 --> 00:14:00,640 Speaker 8: I think it's actually well, the Fed on Williams thinks 282 00:14:00,640 --> 00:14:04,240 Speaker 8: it two point five. Now I'm double that and it 283 00:14:04,480 --> 00:14:07,840 Speaker 8: indeed may be higher. That's something that's unobservable. We do 284 00:14:07,920 --> 00:14:10,680 Speaker 8: our best to make that estimate, Matt. But I think 285 00:14:10,679 --> 00:14:14,120 Speaker 8: that that's appropriate given where the economy is and the 286 00:14:14,160 --> 00:14:17,280 Speaker 8: structural changes that we're going through, because I think we're 287 00:14:17,280 --> 00:14:19,680 Speaker 8: all pretty much here in Wall Street in agreement that 288 00:14:20,000 --> 00:14:22,960 Speaker 8: rates are going to be higher for longer because inflation 289 00:14:23,400 --> 00:14:25,080 Speaker 8: is not going to be what it was for the 290 00:14:25,080 --> 00:14:26,640 Speaker 8: twenty years prior to the pandemic. 291 00:14:26,680 --> 00:14:29,200 Speaker 1: It's just not due to the just you know, the. 292 00:14:29,120 --> 00:14:32,480 Speaker 8: Distortions around movement of supply chains back to friendly countries, 293 00:14:32,680 --> 00:14:35,480 Speaker 8: and the geopolitical tensions that are going to cause problems 294 00:14:35,520 --> 00:14:37,000 Speaker 8: no matter who's in the White House. 295 00:14:37,400 --> 00:14:43,040 Speaker 6: Now if we get a Trump presidency, I'm fascinated by 296 00:14:43,080 --> 00:14:48,000 Speaker 6: some of his proposals because the whole premise of you know, 297 00:14:48,040 --> 00:14:51,200 Speaker 6: the Republican Party is that Biden caused this inflation, and 298 00:14:51,240 --> 00:14:53,720 Speaker 6: Biden inflation is bad and they're going to stop inflation. 299 00:14:53,840 --> 00:14:54,000 Speaker 7: Right. 300 00:14:54,040 --> 00:14:57,240 Speaker 6: But Trump wants to cut taxes. 301 00:14:57,400 --> 00:14:58,280 Speaker 1: I'm happy about that. 302 00:14:58,400 --> 00:15:00,520 Speaker 6: Yes, I know you're not fighting against that, but he 303 00:15:00,560 --> 00:15:03,520 Speaker 6: wants to basically give us a ton of cash. Plus 304 00:15:03,560 --> 00:15:08,600 Speaker 6: he wants to put tariffs on everything that's inflationary. Right, 305 00:15:08,640 --> 00:15:11,320 Speaker 6: those two things are inflationary. And he wants to stop 306 00:15:11,360 --> 00:15:15,560 Speaker 6: immigration and deport all of the illegal immigrants that are 307 00:15:15,600 --> 00:15:19,560 Speaker 6: already here, so that would tighten the labor pool. That's inflationary. 308 00:15:19,600 --> 00:15:23,000 Speaker 6: Seems like everything he wants to do is inflationary. Is 309 00:15:23,040 --> 00:15:25,520 Speaker 6: he just not going to follow through on this stuff? No? 310 00:15:25,680 --> 00:15:28,320 Speaker 8: Actually, after the four years of Trump, I actually take 311 00:15:28,400 --> 00:15:32,040 Speaker 8: him at his word. Literally, that's what he intends to do. Right, 312 00:15:32,120 --> 00:15:35,040 Speaker 8: So if you look at expectations on Wall Street, matter 313 00:15:35,120 --> 00:15:39,080 Speaker 8: of fact, look at the WRP screen FED Funds probabilities 314 00:15:39,640 --> 00:15:42,440 Speaker 8: market's pricing in one hundred basis points of cuts over 315 00:15:42,480 --> 00:15:46,800 Speaker 8: the next five meetings. Okay, if Donald Trump is elected, 316 00:15:46,880 --> 00:15:49,200 Speaker 8: that's a big if. And if he's not a very 317 00:15:49,200 --> 00:15:51,600 Speaker 8: big if, well, I don't want to go there now. 318 00:15:51,640 --> 00:15:52,480 Speaker 6: Gods are strong. 319 00:15:52,640 --> 00:15:55,080 Speaker 8: Yeah, I agree, and I see that, and we're all 320 00:15:55,440 --> 00:15:58,440 Speaker 8: adjusting our base case for twenty twenty five as we speak. 321 00:15:58,800 --> 00:16:01,960 Speaker 8: But if he gets in, and if he follows through 322 00:16:01,960 --> 00:16:05,520 Speaker 8: on this, unemployment rate's going to fall, Wage prices are 323 00:16:05,520 --> 00:16:06,880 Speaker 8: going to go up. The FED is going to be 324 00:16:06,960 --> 00:16:11,120 Speaker 8: worried about a wage price spiral. Right, then the FED 325 00:16:11,200 --> 00:16:14,480 Speaker 8: will reverse course and begin hiking rates and there's where 326 00:16:14,520 --> 00:16:16,520 Speaker 8: we get into what I think is the single biggest 327 00:16:16,680 --> 00:16:20,160 Speaker 8: economic and financial risk of a potentially second Trump administration 328 00:16:20,480 --> 00:16:24,040 Speaker 8: the independence of the Central Bank. I'm not talking about personalities. 329 00:16:24,360 --> 00:16:28,520 Speaker 8: Whether Palace fired, stays, goes is immaterial. It's the instrumental 330 00:16:28,520 --> 00:16:30,120 Speaker 8: independence of the FED that's at risk. 331 00:16:30,160 --> 00:16:33,760 Speaker 6: I'm glad you mentioned that. Jason Furman, who was the 332 00:16:33,800 --> 00:16:40,320 Speaker 6: head of the National Economic Council for Obama. Right, he 333 00:16:40,360 --> 00:16:44,560 Speaker 6: tweeted out that he has selected recently announced policies and 334 00:16:44,640 --> 00:16:47,360 Speaker 6: ranked them in terms of how consequentially bad they would be. 335 00:16:47,920 --> 00:16:50,520 Speaker 6: Number one is the ten percent across the board tariffs. 336 00:16:50,560 --> 00:16:52,920 Speaker 6: This is Furman's opinion, not mine. Number two is the 337 00:16:52,960 --> 00:16:55,600 Speaker 6: four and a half trillion of tax cuts. Number three 338 00:16:55,800 --> 00:16:58,480 Speaker 6: is threatening independence of the Fed. I would have thought 339 00:16:58,480 --> 00:17:01,920 Speaker 6: that'd be a little bit higher. Number four is permanent 340 00:17:02,400 --> 00:17:05,520 Speaker 6: tax free tips. I don't see why that matters. Nobody 341 00:17:05,520 --> 00:17:08,760 Speaker 6: ever claims tips anyway. And then number five is the 342 00:17:08,800 --> 00:17:11,880 Speaker 6: five percent cap on rent increases that Biden has floated. 343 00:17:11,960 --> 00:17:14,000 Speaker 8: Okay, so number five, I just want to be on 344 00:17:14,040 --> 00:17:15,760 Speaker 8: the record that's not a good idea. 345 00:17:16,119 --> 00:17:17,560 Speaker 1: It might make things worse. 346 00:17:17,680 --> 00:17:19,960 Speaker 8: And I mean not just on the supply side of 347 00:17:20,320 --> 00:17:22,080 Speaker 8: you know, people there won't mean a center for builders 348 00:17:22,119 --> 00:17:24,679 Speaker 8: to build homes. People will not want to move, and 349 00:17:24,760 --> 00:17:26,359 Speaker 8: we'll have the same problem in the realm market we 350 00:17:26,440 --> 00:17:28,920 Speaker 8: have as in the in the home buying market. That's 351 00:17:29,000 --> 00:17:31,760 Speaker 8: not a good move. But you know, I followed Jason 352 00:17:31,960 --> 00:17:34,800 Speaker 8: and Jase. By the way, Jason Fremant is an excellent economist, 353 00:17:35,000 --> 00:17:36,840 Speaker 8: and I envy the people get to take EC ten 354 00:17:36,920 --> 00:17:39,560 Speaker 8: over at Harvard from him these days. All right, he's 355 00:17:39,560 --> 00:17:44,040 Speaker 8: a professor, that's right, That course is absolutely fantastic. But 356 00:17:44,080 --> 00:17:46,480 Speaker 8: the thing is, you know what the people who follow 357 00:17:46,520 --> 00:17:48,760 Speaker 8: him wrote back. They disagreed with him. It was the 358 00:17:48,760 --> 00:17:51,240 Speaker 8: FED independence that was number one. I think Jason was 359 00:17:51,240 --> 00:17:52,000 Speaker 8: taken a little bit of. 360 00:17:52,000 --> 00:17:55,200 Speaker 6: Back, but right, well, I think his premise is that 361 00:17:56,520 --> 00:18:01,560 Speaker 6: it wouldn't be possible to threaten FED independence. Donald Trump 362 00:18:01,720 --> 00:18:04,320 Speaker 6: seems to want to. But still you've got to rank 363 00:18:04,359 --> 00:18:04,880 Speaker 6: them in order. 364 00:18:05,119 --> 00:18:09,640 Speaker 8: So I saw Liz trust was at the GOP convention. Yeah, 365 00:18:09,680 --> 00:18:11,280 Speaker 8: they might want to be thinking about what ahead of 366 00:18:11,359 --> 00:18:13,480 Speaker 8: Lettuce means, right, because if they were to try to 367 00:18:13,520 --> 00:18:16,520 Speaker 8: do something like that, you know, we would begin talking 368 00:18:16,520 --> 00:18:19,960 Speaker 8: about the Bond vigilantes, whoever those guys are. By the way, 369 00:18:19,960 --> 00:18:22,200 Speaker 8: you know, live in Austin, Texas these days. I've seen 370 00:18:22,520 --> 00:18:24,159 Speaker 8: one of the guys from zz Top and I'm like, 371 00:18:24,200 --> 00:18:25,000 Speaker 8: that's what a bond. 372 00:18:24,840 --> 00:18:27,880 Speaker 6: Vigilant is sweet, right, that's a great face, Right. 373 00:18:27,720 --> 00:18:29,840 Speaker 1: That's that's what a bond vigilante looks like. 374 00:18:30,200 --> 00:18:33,040 Speaker 8: But they will they will be back quickly, and it 375 00:18:33,080 --> 00:18:35,960 Speaker 8: will be painful if the GOP attempts to do that 376 00:18:36,320 --> 00:18:39,840 Speaker 8: or do something something more ridiculous. It's like to value 377 00:18:39,840 --> 00:18:41,800 Speaker 8: the dollar, right, Yeah. 378 00:18:41,320 --> 00:18:43,480 Speaker 3: So we got the ten year treasury at four point 379 00:18:43,520 --> 00:18:45,600 Speaker 3: one six percent. Where's that going to be year end? 380 00:18:45,640 --> 00:18:45,960 Speaker 3: Do you think? 381 00:18:46,040 --> 00:18:48,080 Speaker 8: Okay, so my year in target was four point two 382 00:18:48,119 --> 00:18:51,159 Speaker 8: with some downside risk. I still think that's you know, 383 00:18:51,400 --> 00:18:54,320 Speaker 8: in intact, I think that when the Fed gets to 384 00:18:54,359 --> 00:18:57,879 Speaker 8: the point where it begins to telegraph it's cutting rates, 385 00:18:57,920 --> 00:19:01,160 Speaker 8: probably right after the July thirty first meeting, you begin 386 00:19:01,200 --> 00:19:03,199 Speaker 8: to see the front end of the curve begin to 387 00:19:03,240 --> 00:19:05,320 Speaker 8: move down. Because what we're going to be doing here 388 00:19:05,359 --> 00:19:06,840 Speaker 8: is this is a good thing, right, is we want 389 00:19:06,880 --> 00:19:08,720 Speaker 8: the price of money to be positive. We want a 390 00:19:08,720 --> 00:19:12,280 Speaker 8: turn premium that's positive on the on the yield curve, right, 391 00:19:12,720 --> 00:19:14,440 Speaker 8: We're going to get a dis inversion of the yield 392 00:19:14,480 --> 00:19:18,040 Speaker 8: curve next year. Hey, guys, this is what's supposed to happen. 393 00:19:18,359 --> 00:19:20,800 Speaker 8: This is what financial markets are supposed to look like 394 00:19:21,119 --> 00:19:24,679 Speaker 8: pre two thousand and you know, pre GFC. Right, Yeah, 395 00:19:24,840 --> 00:19:27,320 Speaker 8: we're going back to the future and it's a good thing. 396 00:19:27,400 --> 00:19:30,880 Speaker 6: So we'll get so we will have then we will 397 00:19:30,880 --> 00:19:34,280 Speaker 6: have had two years of inverted yield curve and no 398 00:19:34,440 --> 00:19:35,280 Speaker 6: real recession. 399 00:19:35,520 --> 00:19:36,280 Speaker 1: Well, Matt, as. 400 00:19:36,160 --> 00:19:38,400 Speaker 8: You know, I'm a firm believer in that the yield 401 00:19:38,440 --> 00:19:41,480 Speaker 8: curves in you know, predicted eleven of the last three recessions. 402 00:19:41,880 --> 00:19:44,040 Speaker 8: I dropped that rule of thumb a long time ago. 403 00:19:44,359 --> 00:19:46,359 Speaker 8: Don't get me wrong. We pay attention to it because 404 00:19:46,720 --> 00:19:50,640 Speaker 8: it shows stresses and strains across the yield curve. I mean, 405 00:19:51,080 --> 00:19:53,960 Speaker 8: excuse me, stresses and strains across financial markets. But it's 406 00:19:53,960 --> 00:19:56,480 Speaker 8: not the predictor that it might have been, you know, 407 00:19:56,800 --> 00:19:58,840 Speaker 8: back in the eighties or nineties, back when. 408 00:19:58,720 --> 00:20:03,879 Speaker 6: Paul was at Duke, right back when skipping exactly Cam's courses. 409 00:20:03,520 --> 00:20:06,880 Speaker 3: To go play golf. So the golf course is right 410 00:20:06,920 --> 00:20:10,400 Speaker 3: across the how I mean exactly who. 411 00:20:10,359 --> 00:20:12,919 Speaker 1: Is your professor that he can Harvey? Cam Harvey? 412 00:20:13,000 --> 00:20:16,040 Speaker 3: So really I didn't know that cool? So he's yeah, 413 00:20:16,080 --> 00:20:18,520 Speaker 3: so he's one of the out of the Chicago school guys. 414 00:20:18,680 --> 00:20:19,720 Speaker 1: So the primary risk. 415 00:20:19,520 --> 00:20:22,040 Speaker 3: It sounds like from your perspective, is this FED holds 416 00:20:22,240 --> 00:20:23,160 Speaker 3: rates too high. 417 00:20:22,920 --> 00:20:25,680 Speaker 8: Too high for too long, and of course oil. Right, 418 00:20:25,680 --> 00:20:27,919 Speaker 8: those are the real two big risks. But you know, 419 00:20:29,160 --> 00:20:33,040 Speaker 8: I don't think that investors or firms have really priced 420 00:20:33,080 --> 00:20:37,480 Speaker 8: in what friend shoring means. But the relocation of the 421 00:20:37,560 --> 00:20:42,280 Speaker 8: supply chains means in terms of a permanently altered structure 422 00:20:42,760 --> 00:20:46,159 Speaker 8: of pricing, both domestically and globally, We're going to have 423 00:20:46,280 --> 00:20:49,840 Speaker 8: higher inflation, We're going to have higher interest rates, right, 424 00:20:49,920 --> 00:20:52,719 Speaker 8: and I do think that's going to be an ongoing 425 00:20:52,760 --> 00:20:55,320 Speaker 8: issue again, regardless of who wins the White House. 426 00:20:55,760 --> 00:20:57,840 Speaker 6: I want to get your take on the markets quickly. 427 00:20:57,880 --> 00:21:00,919 Speaker 6: We lam a minute left. But as an economist, what 428 00:21:00,920 --> 00:21:03,280 Speaker 6: do you think of the fact that Gena Martin Adams 429 00:21:03,320 --> 00:21:06,160 Speaker 6: has written about the S and P four ninety three, Right, 430 00:21:06,200 --> 00:21:10,760 Speaker 6: the companies that aren't the giant megacap tech stocks have 431 00:21:10,920 --> 00:21:14,200 Speaker 6: been in an earnings recession for six quarters and they're 432 00:21:14,480 --> 00:21:17,359 Speaker 6: finally going to start to post some growth, at least 433 00:21:17,359 --> 00:21:20,600 Speaker 6: that's the hope. Do you watch earning season. 434 00:21:20,359 --> 00:21:21,480 Speaker 1: Oh, very closely. 435 00:21:21,560 --> 00:21:24,080 Speaker 8: We use we actually use the artificial tool on bloomber 436 00:21:24,160 --> 00:21:25,920 Speaker 8: to go through and look at the key earnings that 437 00:21:26,480 --> 00:21:29,320 Speaker 8: really are important to our firm. Look, no one likes 438 00:21:29,359 --> 00:21:31,920 Speaker 8: the over concentration or risk in the bag seven. I'm 439 00:21:31,960 --> 00:21:34,359 Speaker 8: happy now it's beginning to broaden out. That puts a 440 00:21:34,400 --> 00:21:37,840 Speaker 8: smile on my face. Although I think that we generally 441 00:21:37,880 --> 00:21:42,840 Speaker 8: are underestimating the positive productivity shock that artificial intelligence is 442 00:21:42,920 --> 00:21:46,840 Speaker 8: going to bring to the US in global economy, That too, 443 00:21:46,880 --> 00:21:50,119 Speaker 8: should begin to spill over as we're in the second 444 00:21:50,119 --> 00:21:52,600 Speaker 8: phase of AI, where we're past the euphoria. 445 00:21:53,000 --> 00:21:54,439 Speaker 1: Now, how are we going to use that? 446 00:21:54,680 --> 00:21:54,880 Speaker 5: Right? 447 00:21:55,160 --> 00:21:57,920 Speaker 3: Yep, So we'll get to that. That's the next big 448 00:21:57,920 --> 00:22:00,440 Speaker 3: thing in this market. How do you use AI? Joe Ruswallows, 449 00:22:00,440 --> 00:22:03,480 Speaker 3: thanks for joining us. Appreciate that Joe Bershwall's chief economists 450 00:22:03,480 --> 00:22:05,520 Speaker 3: are semi joining us here in studio. 451 00:22:06,560 --> 00:22:10,440 Speaker 2: You're listening to the Bloomberg Intelligence Podcast. Catch us live 452 00:22:10,520 --> 00:22:14,040 Speaker 2: weekdays at ten am Eastern on applecar Play and Android 453 00:22:14,080 --> 00:22:16,840 Speaker 2: Auto with the Bloomberg Business app. You can also listen 454 00:22:16,960 --> 00:22:20,040 Speaker 2: live on Amazon Alexa from our flagship New York station, 455 00:22:20,400 --> 00:22:24,960 Speaker 2: Just Say Alexa, playing Bloomberg eleven thirty. 456 00:22:24,720 --> 00:22:27,399 Speaker 3: Looking at the Airline Business United airlines. They said a 457 00:22:27,480 --> 00:22:31,000 Speaker 3: third quarter profit will fall short of Wall Streets expectations 458 00:22:31,040 --> 00:22:35,000 Speaker 3: as US carriers slash ticket prices to lore domestic travelers, 459 00:22:35,160 --> 00:22:39,240 Speaker 3: keeping even the industry's largest players from fully capitalizing on 460 00:22:39,359 --> 00:22:42,880 Speaker 3: record summer travel. Let's bring in George Ferguson. He does 461 00:22:42,920 --> 00:22:45,320 Speaker 3: this stuff for living. He's his senior Aerospace, Defense and 462 00:22:45,359 --> 00:22:49,159 Speaker 3: airlinesanos from Bloomberg Intelligence. George, again, I haven't been on 463 00:22:49,160 --> 00:22:51,600 Speaker 3: a plane in a long time that wasn't packed to 464 00:22:51,680 --> 00:22:54,320 Speaker 3: the gills. Here. If the airlines can't make money, now, 465 00:22:54,440 --> 00:22:56,480 Speaker 3: when can they? What's happening in your industry? 466 00:22:57,440 --> 00:22:57,640 Speaker 5: Yeah? 467 00:22:57,760 --> 00:22:59,760 Speaker 9: So I tell a lot of people who, right, you 468 00:22:59,760 --> 00:23:04,719 Speaker 9: can't confuse airline airplanes being full with profitability. Right, everything 469 00:23:04,720 --> 00:23:09,919 Speaker 9: depends on the price paid by those folks flying. Really, 470 00:23:10,320 --> 00:23:14,440 Speaker 9: the industry is just suffering from overcapacity, right. United confirm 471 00:23:14,520 --> 00:23:17,840 Speaker 9: that today. Delta told us the same thing earlier. We 472 00:23:17,880 --> 00:23:21,600 Speaker 9: saw Alaska results come out today as well, their load 473 00:23:21,640 --> 00:23:24,920 Speaker 9: factors down, yields flat load factors down, telling me they 474 00:23:24,920 --> 00:23:27,800 Speaker 9: can't fill airplanes at the right price point. 475 00:23:28,040 --> 00:23:29,520 Speaker 5: We need capacity to come out. 476 00:23:29,560 --> 00:23:35,720 Speaker 9: Everybody's pointing to an inflection point in three Q. You 477 00:23:35,760 --> 00:23:37,800 Speaker 9: know today United said that, you know they'd get down 478 00:23:37,840 --> 00:23:42,720 Speaker 9: and maybe after mid August maybe two three percent growth 479 00:23:43,160 --> 00:23:46,120 Speaker 9: in capacity. I just think I think that's just still 480 00:23:46,160 --> 00:23:49,000 Speaker 9: a too high level of capacity growth. Right, This isn't 481 00:23:49,000 --> 00:23:52,440 Speaker 9: an economy that probably a year over year grew about 482 00:23:52,440 --> 00:23:54,760 Speaker 9: a percent. I think that number ought to be tied 483 00:23:54,840 --> 00:23:57,879 Speaker 9: much closer to GDP growth you just talked about in 484 00:23:57,920 --> 00:24:02,760 Speaker 9: the update about unemployment right right to the the US 485 00:24:02,840 --> 00:24:05,360 Speaker 9: economy appears to be slowing a bit. So I think 486 00:24:05,400 --> 00:24:07,679 Speaker 9: those things are working against the airlines right now. A 487 00:24:07,680 --> 00:24:09,439 Speaker 9: bunch of capacity has to come out, I think, to 488 00:24:09,440 --> 00:24:12,159 Speaker 9: get back to pricing power, and that's what's needed to 489 00:24:12,200 --> 00:24:13,280 Speaker 9: get profitability going. 490 00:24:13,400 --> 00:24:15,520 Speaker 6: So how does that happen? I mean, do the airlines 491 00:24:15,520 --> 00:24:20,200 Speaker 6: themselves pull capacity out? Don't they have competition in this market? 492 00:24:20,359 --> 00:24:22,080 Speaker 6: Don't we have regulators to ensure that? 493 00:24:23,240 --> 00:24:27,040 Speaker 5: Yeah, So how does it happen? We're starting to see 494 00:24:27,119 --> 00:24:29,199 Speaker 5: some of it happen. Today. 495 00:24:29,280 --> 00:24:32,880 Speaker 9: Alaska announced that they were going to add more premium 496 00:24:32,920 --> 00:24:33,399 Speaker 9: seeding to the. 497 00:24:33,520 --> 00:24:36,160 Speaker 6: Can I just pause here for a fun fact, George. 498 00:24:37,320 --> 00:24:44,080 Speaker 6: For a long time, Paul Sweeney thought that the Eskimo 499 00:24:44,240 --> 00:24:47,159 Speaker 6: on the Alaska Airlines tail was actually a picture of 500 00:24:47,200 --> 00:24:47,960 Speaker 6: Jerry Garcia. 501 00:24:48,200 --> 00:24:51,399 Speaker 9: I did, Yeah, actually he's told me that. 502 00:24:52,680 --> 00:24:54,160 Speaker 5: I'm not sure what that says about, Paul. 503 00:24:55,800 --> 00:24:57,480 Speaker 6: I mean, what an airline do you put a picture 504 00:24:57,520 --> 00:24:58,760 Speaker 6: of Jerry Garcia on the tail. 505 00:24:58,840 --> 00:24:59,639 Speaker 3: They're so cool? 506 00:25:00,240 --> 00:25:00,520 Speaker 5: All right? 507 00:25:00,560 --> 00:25:01,800 Speaker 6: So sorry, sorry, go ahead. 508 00:25:02,160 --> 00:25:04,520 Speaker 9: So we're starting to see capacity come out with these 509 00:25:04,520 --> 00:25:07,600 Speaker 9: announcements like Alaska where they said, hey, we're gonna take 510 00:25:07,680 --> 00:25:10,200 Speaker 9: you know, we're gonna add more premium seating, which usually 511 00:25:10,200 --> 00:25:12,800 Speaker 9: means a bit less capacity in the marketplace. Frontier is 512 00:25:12,840 --> 00:25:14,800 Speaker 9: gonna block your middle seat so you can get a 513 00:25:14,840 --> 00:25:18,600 Speaker 9: premium seat out of Frontier. That obviously brings the capacity out. 514 00:25:18,840 --> 00:25:20,880 Speaker 9: But what you really you know, what you really need 515 00:25:20,960 --> 00:25:24,159 Speaker 9: is you need air airlines to start parking airplanes. And 516 00:25:24,200 --> 00:25:27,879 Speaker 9: I think that's hard too, right, So United Delta all 517 00:25:28,000 --> 00:25:30,880 Speaker 9: jazzed up about this inflection point. But look, I would 518 00:25:30,960 --> 00:25:33,920 Speaker 9: note that there's a lot of very fast growing, low 519 00:25:34,000 --> 00:25:39,159 Speaker 9: cost airlines in the US. Frontier, Spirit, even Jet Blue, right, 520 00:25:39,200 --> 00:25:42,119 Speaker 9: they lease a lot of airplanes. You fly airplanes you 521 00:25:42,200 --> 00:25:44,120 Speaker 9: lease because you got you gotta pay that least. 522 00:25:43,960 --> 00:25:44,840 Speaker 5: Payment, no matter what. 523 00:25:45,080 --> 00:25:48,199 Speaker 9: Right, So I think it gets difficult here, and it 524 00:25:48,240 --> 00:25:52,240 Speaker 9: takes a little while to get capacity out. Maybe next summer, 525 00:25:52,880 --> 00:25:53,600 Speaker 9: you know, I don't know. 526 00:25:53,720 --> 00:25:57,360 Speaker 6: I was talking to the CEO of JSX the other 527 00:25:57,440 --> 00:26:01,200 Speaker 6: day on my new television program called Bloomberg Open Interest 528 00:26:01,280 --> 00:26:04,879 Speaker 6: Tune in weekdays nine to eleven. And you know, they 529 00:26:05,320 --> 00:26:09,320 Speaker 6: fly fascinating roots. For example, they'll fly from the west 530 00:26:09,400 --> 00:26:15,240 Speaker 6: Chester Airport to the Naples Airport, right or some airport 531 00:26:15,280 --> 00:26:19,439 Speaker 6: outside of l A into you know, Palm Beach. So 532 00:26:19,640 --> 00:26:22,680 Speaker 6: are we gonna see more of these upstarts, George. 533 00:26:23,400 --> 00:26:26,960 Speaker 9: Well, so we always do in the industry, right. So 534 00:26:27,080 --> 00:26:30,760 Speaker 9: the beautiful thing about this industry is when people sell airplanes, 535 00:26:30,800 --> 00:26:33,880 Speaker 9: someone buys them cheap and starts flying routes like that, 536 00:26:34,800 --> 00:26:37,119 Speaker 9: and there's always someone that wants that come to this industry, right. 537 00:26:37,160 --> 00:26:40,159 Speaker 9: It's it's got just a heavy allure. Everybody wants to 538 00:26:40,160 --> 00:26:42,680 Speaker 9: own an airline. That becomes one of the challenges too, 539 00:26:42,720 --> 00:26:45,800 Speaker 9: I think, and sort of making money in this industry. 540 00:26:46,119 --> 00:26:48,080 Speaker 5: But the big folks, they'd love. 541 00:26:47,960 --> 00:26:50,719 Speaker 9: To have more, you know, more maybe the ultra low 542 00:26:50,840 --> 00:26:53,840 Speaker 9: cost point at those smaller airports, but you just don't 543 00:26:53,880 --> 00:26:57,359 Speaker 9: get the demand out of those smaller airports, you know, 544 00:26:57,520 --> 00:27:01,240 Speaker 9: to really fill big airplanes, and so that becomes part 545 00:27:01,280 --> 00:27:03,480 Speaker 9: of the challenge I think right now. One of the 546 00:27:03,480 --> 00:27:06,840 Speaker 9: bigger parts of the challenge is definitely business is kinda 547 00:27:07,240 --> 00:27:09,280 Speaker 9: We heard United say one hundred percent of what it 548 00:27:09,400 --> 00:27:12,320 Speaker 9: was in twenty nineteen. Obviously that gives you sort of 549 00:27:12,320 --> 00:27:15,199 Speaker 9: no growth since the pandemic. They're saying the share of 550 00:27:15,240 --> 00:27:18,639 Speaker 9: revenue in the cabin is lower. That's always at a 551 00:27:18,640 --> 00:27:21,639 Speaker 9: really nice price point. And business likes to go different 552 00:27:21,680 --> 00:27:24,919 Speaker 9: places than leisure does, so it diversifies your routes to 553 00:27:24,920 --> 00:27:27,280 Speaker 9: a certain degree, but you need enough of it to 554 00:27:27,280 --> 00:27:31,480 Speaker 9: go to those other destinations. So business just isn't back enough. 555 00:27:31,600 --> 00:27:34,560 Speaker 9: I think to let the big full service carriers move 556 00:27:34,600 --> 00:27:40,159 Speaker 9: into maybe some smaller sized airplanes, more diversified destinations and 557 00:27:40,280 --> 00:27:44,200 Speaker 9: get competition off those sort of heavy volume routes. 558 00:27:44,200 --> 00:27:45,760 Speaker 5: And I think that's part of the problem too. 559 00:27:46,320 --> 00:27:49,160 Speaker 3: And Matt, you know, once a year George Ferkston goes 560 00:27:49,160 --> 00:27:51,760 Speaker 3: on this boondoggle with all these other airline people. They 561 00:27:51,760 --> 00:27:54,479 Speaker 3: go to either Paris one year and then the next 562 00:27:54,560 --> 00:27:56,880 Speaker 3: year it's London for these air shows where the big 563 00:27:56,920 --> 00:27:59,320 Speaker 3: airlines and the aerospace companies buy and sell it always 564 00:27:59,320 --> 00:28:01,760 Speaker 3: see guys jab Yeah, it's just a total scam. But anyway, 565 00:28:01,800 --> 00:28:05,880 Speaker 3: George is going next week to Farnborough in England, George, 566 00:28:05,920 --> 00:28:07,640 Speaker 3: what do you expect there? Are we going to see 567 00:28:07,680 --> 00:28:10,879 Speaker 3: some big orders? What's Boeing going to do? Do they have 568 00:28:10,920 --> 00:28:14,320 Speaker 3: to go do like a mayor culpritur in Farnsborough. 569 00:28:15,200 --> 00:28:15,800 Speaker 5: I think they are. 570 00:28:15,840 --> 00:28:18,399 Speaker 9: I think they'll be holding customer's hands, talking to about, 571 00:28:18,760 --> 00:28:21,240 Speaker 9: you know, all their quality changes, how it's going to 572 00:28:21,280 --> 00:28:24,800 Speaker 9: make a better airplane, and you know, sort of giving 573 00:28:24,800 --> 00:28:26,879 Speaker 9: them an update on when they're going to get deliveries. 574 00:28:27,320 --> 00:28:30,359 Speaker 9: I don't see this being a big sales show. It 575 00:28:30,440 --> 00:28:32,760 Speaker 9: is a sales show, but I don't see you know, 576 00:28:32,920 --> 00:28:36,199 Speaker 9: sort of Airbus and Boeing walking out the door with 577 00:28:36,280 --> 00:28:38,880 Speaker 9: bags and bags of orders if you put them in bags. 578 00:28:39,560 --> 00:28:39,760 Speaker 5: You know. 579 00:28:39,880 --> 00:28:42,160 Speaker 9: I just kind of think it's going to be pretty 580 00:28:42,240 --> 00:28:46,880 Speaker 9: muted because of both those supply chain challenges and you know, 581 00:28:47,000 --> 00:28:49,760 Speaker 9: the US airlines earning season showing us that maybe too 582 00:28:49,840 --> 00:28:53,800 Speaker 9: much capacity in the US. We heard Lufton's of Warren already. 583 00:28:54,280 --> 00:28:57,120 Speaker 9: Maybe there's a little too much capacity In Europe. I 584 00:28:57,120 --> 00:28:59,960 Speaker 9: think people really expected, you know, a much harder bounce 585 00:29:00,120 --> 00:29:03,160 Speaker 9: back from the pandemic again, still missing some of that 586 00:29:03,200 --> 00:29:07,480 Speaker 9: business travel economy slowing just not there. So I think 587 00:29:07,480 --> 00:29:11,600 Speaker 9: it'll be a bit of a muted sales show at 588 00:29:11,680 --> 00:29:12,960 Speaker 9: the at the show. 589 00:29:13,360 --> 00:29:15,240 Speaker 3: All right, George, thanks so much for joining us. Appreciate 590 00:29:15,280 --> 00:29:17,840 Speaker 3: it as always. George Ferguson, senior Aerospace, Defense and Airlines 591 00:29:17,880 --> 00:29:21,440 Speaker 3: analysts for Bloomberg in Intelligence. But always had some those 592 00:29:21,480 --> 00:29:23,840 Speaker 3: air shows. You see these monster deals, you know, Emmerts 593 00:29:23,880 --> 00:29:25,640 Speaker 3: Airlines buying, you know, fifty. 594 00:29:25,440 --> 00:29:28,680 Speaker 6: Seven true air and they're often the surprise, so, you know, 595 00:29:29,000 --> 00:29:34,000 Speaker 6: tough to predict. But I feel like both of the 596 00:29:34,120 --> 00:29:39,400 Speaker 6: members of our airplane making duopoly have already got order 597 00:29:39,480 --> 00:29:43,280 Speaker 6: backlogs going out years, right, So what difference. 598 00:29:43,000 --> 00:29:43,280 Speaker 1: Does it make? 599 00:29:43,360 --> 00:29:45,400 Speaker 3: Yeah, what difference does it make? And Boeing's got its problems. 600 00:29:45,440 --> 00:29:47,440 Speaker 3: I mean, George talks about the builds they're building, like 601 00:29:47,480 --> 00:29:50,400 Speaker 3: the thirty five, thirty six, seven thirty seven months that 602 00:29:50,440 --> 00:29:53,720 Speaker 3: needs to be well north of forty for them to 603 00:29:53,720 --> 00:29:55,000 Speaker 3: start getting some cash flow. 604 00:29:55,480 --> 00:30:00,920 Speaker 2: There you're listening to the Bloomberg Intelligence Podcast. Catch us 605 00:30:00,960 --> 00:30:04,360 Speaker 2: live weekdays at ten am Eastern on applecar Play and 606 00:30:04,360 --> 00:30:07,280 Speaker 2: Android Auto with the Bloomberg Business app. You can also 607 00:30:07,360 --> 00:30:10,840 Speaker 2: listen live on Amazon Alexa from our flagship New York station, 608 00:30:11,200 --> 00:30:14,000 Speaker 2: Just Say Alexa Play Bloomberg eleven thirty. 609 00:30:15,520 --> 00:30:17,920 Speaker 3: Paul Sweeney live here in o Bloomberg Interactive Broker Studio 610 00:30:18,000 --> 00:30:19,760 Speaker 3: or streaming live on YouTube. So head over to that 611 00:30:19,840 --> 00:30:23,680 Speaker 3: internet thing, go YouTube dot com search Bloomberg podcast. Alex 612 00:30:23,720 --> 00:30:26,640 Speaker 3: steels out Today. They're telling me Matt Miller is going 613 00:30:26,680 --> 00:30:28,680 Speaker 3: to be here thin eleven o'clock hour. I will believe 614 00:30:28,720 --> 00:30:31,600 Speaker 3: it when I see it. Let's talk some real estate here, 615 00:30:31,600 --> 00:30:33,720 Speaker 3: commercial real estate, residential real estate. We can do that 616 00:30:33,760 --> 00:30:37,200 Speaker 3: with David O'Reilly. He's the CEO of Howard Hughes. Howard 617 00:30:37,280 --> 00:30:40,360 Speaker 3: Hughes is a public traded company. Triple hhhh is a 618 00:30:40,440 --> 00:30:45,200 Speaker 3: ticker in your Bloomberg terminal. That'll bring it up for you, David, 619 00:30:45,200 --> 00:30:47,200 Speaker 3: Thanks very much for being here in what pre're city, 620 00:30:47,240 --> 00:30:50,360 Speaker 3: in New York City, other than being that world's financial capital. 621 00:30:50,240 --> 00:30:52,160 Speaker 10: Allways, a pleasure to be here. Thanks for having me. 622 00:30:52,240 --> 00:30:53,960 Speaker 10: We do have an asset here at the South Street 623 00:30:53,960 --> 00:30:56,360 Speaker 10: Seaport in the Lower eas side of Manhattan. We're in 624 00:30:56,400 --> 00:30:58,840 Speaker 10: the middle of filing with the SEC for spinoff of 625 00:30:58,840 --> 00:31:01,560 Speaker 10: those assets into its own separately traded company focused on 626 00:31:01,720 --> 00:31:04,920 Speaker 10: entertainment that will leave Howard. You is positioned really just 627 00:31:05,200 --> 00:31:07,600 Speaker 10: entirely focused on building world class communities that we've been 628 00:31:07,640 --> 00:31:09,400 Speaker 10: doing since we were form. 629 00:31:09,240 --> 00:31:11,400 Speaker 3: Stories for me and my gang at the South stat 630 00:31:11,440 --> 00:31:13,440 Speaker 3: Street Board in the late nineteen eighties. We'll just leave 631 00:31:13,440 --> 00:31:16,080 Speaker 3: it at that. Talk to us about, first of all, 632 00:31:16,080 --> 00:31:19,120 Speaker 3: Howard Hughes. Where did this company come from? Given the name? 633 00:31:19,680 --> 00:31:21,920 Speaker 1: So it was spun out from General Growth Properties. 634 00:31:21,960 --> 00:31:24,360 Speaker 10: Bill Ackman of Pershing Square took control of General Growth, 635 00:31:24,400 --> 00:31:28,120 Speaker 10: the mall company that went bankrupt fourteen years ago, and 636 00:31:28,160 --> 00:31:30,960 Speaker 10: he found in the mall company were these great communities, 637 00:31:31,000 --> 00:31:35,600 Speaker 10: the woodlands outside of Houston summer and outside of Las Vegas, YEP, Columbia, Maryland. 638 00:31:35,200 --> 00:31:37,280 Speaker 1: Between DC and Baltimore. He said, these. 639 00:31:37,120 --> 00:31:39,360 Speaker 10: Companies don't belong in a public mall red Okay. They 640 00:31:39,400 --> 00:31:40,440 Speaker 10: need their own company, all. 641 00:31:40,400 --> 00:31:42,200 Speaker 3: Right, So let's just talk. I'm just looking at what 642 00:31:42,280 --> 00:31:45,840 Speaker 3: you guys have there. Let's talk about office space. You 643 00:31:45,880 --> 00:31:49,240 Speaker 3: have six point eight million square of office space. Six 644 00:31:49,280 --> 00:31:52,120 Speaker 3: point eight million square feet of office space. I go 645 00:31:52,160 --> 00:31:55,280 Speaker 3: through any town, USA, any office yard, You're going to 646 00:31:55,360 --> 00:31:58,640 Speaker 3: see the sign stuck in the grass outside X number 647 00:31:58,760 --> 00:32:03,240 Speaker 3: square feet for for rent here. What's your portfolio look 648 00:32:03,280 --> 00:32:05,240 Speaker 3: like in terms of occupancy rates, that kind of thing. 649 00:32:05,360 --> 00:32:07,800 Speaker 10: You know, our occupancy is traveling up close to ninety 650 00:32:07,840 --> 00:32:10,959 Speaker 10: percent last quarter really and it has defied gravity and 651 00:32:11,000 --> 00:32:13,920 Speaker 10: really defied the national headlines of doom and gloom. 652 00:32:14,040 --> 00:32:14,560 Speaker 3: Why is that? 653 00:32:14,960 --> 00:32:17,960 Speaker 10: You know, we during the pandemic saw the migration of 654 00:32:18,000 --> 00:32:20,560 Speaker 10: a lot of really smart, well educated workers coming from 655 00:32:20,600 --> 00:32:24,560 Speaker 10: the coasts, leaving higher crime, leaving higher taxes, chasing quality 656 00:32:24,560 --> 00:32:28,240 Speaker 10: of life, chasing affordability. And now we're seeing companies chase 657 00:32:28,280 --> 00:32:31,320 Speaker 10: those employees. And we're seeing those companies come in from 658 00:32:31,360 --> 00:32:34,440 Speaker 10: those big cities into places like the Woodlands, where we 659 00:32:34,560 --> 00:32:37,360 Speaker 10: filled up over the past two years almost three quarters 660 00:32:37,360 --> 00:32:38,160 Speaker 10: of a million square feet. 661 00:32:38,520 --> 00:32:42,880 Speaker 3: Interesting, So where is your office space today versus maybe 662 00:32:42,960 --> 00:32:45,800 Speaker 3: pre pandemic in terms of vacant occupancy and rate and 663 00:32:45,840 --> 00:32:46,440 Speaker 3: that kind of thing. 664 00:32:46,600 --> 00:32:49,800 Speaker 10: I would say vacancy is a tick higher. We were 665 00:32:49,800 --> 00:32:53,560 Speaker 10: about ninety two percent. Pre pandemic rates are almost identical. 666 00:32:53,760 --> 00:32:56,280 Speaker 3: Really, yes, interesting because I mean you know the story. 667 00:32:56,320 --> 00:32:58,840 Speaker 3: And then cities like New York City, for example, you 668 00:32:58,840 --> 00:33:00,480 Speaker 3: know the story Here is if if you're in an 669 00:33:00,480 --> 00:33:04,360 Speaker 3: a office space like Bloomberg's headquarters, you're fine. Right, If 670 00:33:04,400 --> 00:33:07,000 Speaker 3: you're in anything else, good luck. 671 00:33:07,040 --> 00:33:08,280 Speaker 1: Tough sletting, no doubt. 672 00:33:08,440 --> 00:33:11,520 Speaker 10: But in a community like the Woodlands, we control the 673 00:33:11,560 --> 00:33:14,520 Speaker 10: development of all new product, so We're only building to 674 00:33:14,560 --> 00:33:16,960 Speaker 10: meet supply. There aren't four folks with a shovel in 675 00:33:16,960 --> 00:33:19,320 Speaker 10: the ground, all at the same time, rushing to be 676 00:33:19,400 --> 00:33:20,640 Speaker 10: first and the other three lose. 677 00:33:21,240 --> 00:33:22,800 Speaker 1: So by controlling the. 678 00:33:22,800 --> 00:33:25,520 Speaker 10: Supply side of the equation, we're able to mitigate some 679 00:33:25,560 --> 00:33:27,600 Speaker 10: of those bigger swings that are typically associated with the 680 00:33:27,600 --> 00:33:28,280 Speaker 10: office market. 681 00:33:28,640 --> 00:33:32,720 Speaker 3: Six thousand multi family units. Where are those units generally speaking? 682 00:33:32,880 --> 00:33:34,160 Speaker 3: And how's that business doing? 683 00:33:34,200 --> 00:33:36,880 Speaker 10: The business is incredible. We've seen great same store growth 684 00:33:36,960 --> 00:33:40,160 Speaker 10: year over year. A big picture, we have a three 685 00:33:40,240 --> 00:33:42,920 Speaker 10: million plus housing you to shortfall across the country, and 686 00:33:43,040 --> 00:33:45,240 Speaker 10: multi family is trying to address some of that, especially 687 00:33:45,320 --> 00:33:48,720 Speaker 10: from an affordability perspective. Our portfolio in the Woodlands remains 688 00:33:48,760 --> 00:33:52,400 Speaker 10: high nineties, rents increasing year over year. Same with our 689 00:33:52,440 --> 00:33:55,240 Speaker 10: portfolio in Columbia and some of land outside of Las Vegas. 690 00:33:55,320 --> 00:33:57,320 Speaker 3: I love some of another great golf course there and 691 00:33:57,360 --> 00:34:00,560 Speaker 3: some of it all those courses out there. How is 692 00:34:00,680 --> 00:34:02,800 Speaker 3: Vegas doing generally, because that's one of those markets up 693 00:34:02,840 --> 00:34:04,520 Speaker 3: and down. It's kind of the poster child from when 694 00:34:04,560 --> 00:34:07,000 Speaker 3: things are great, poster child when things are bad. Where 695 00:34:07,040 --> 00:34:08,560 Speaker 3: are we now in that cycle for Vegas? 696 00:34:08,680 --> 00:34:10,640 Speaker 10: Vegas isn't a really good spot right now. You know, 697 00:34:10,680 --> 00:34:14,279 Speaker 10: we're selling over a thousand homes in Summerland this year, 698 00:34:14,320 --> 00:34:16,160 Speaker 10: and last year we hit ruck at home sales. First 699 00:34:16,239 --> 00:34:19,200 Speaker 10: quarter we were up twenty four percent. Builders are buying 700 00:34:19,239 --> 00:34:21,239 Speaker 10: land from US at a record price per acre, and 701 00:34:21,320 --> 00:34:23,239 Speaker 10: where you know, kind of the catcher's mitt of all 702 00:34:23,280 --> 00:34:25,200 Speaker 10: those residents looking for quality of life. 703 00:34:25,560 --> 00:34:27,640 Speaker 3: All right, you've got a land bank. I'm not a 704 00:34:27,680 --> 00:34:28,880 Speaker 3: real stick guy, so I don't know what a land 705 00:34:28,920 --> 00:34:31,439 Speaker 3: bank is. I'm guessing you guys just own you guys 706 00:34:31,480 --> 00:34:33,919 Speaker 3: owned thirty five thousand acres in a land bank. 707 00:34:34,120 --> 00:34:35,160 Speaker 1: All right, what do. 708 00:34:35,080 --> 00:34:37,880 Speaker 3: You do with that? Build stuff he developed, develop it 709 00:34:37,960 --> 00:34:38,440 Speaker 3: or we sell it. 710 00:34:38,560 --> 00:34:39,480 Speaker 1: We play SimCity. 711 00:34:39,840 --> 00:34:41,400 Speaker 10: We build, We put in the roads, we put in 712 00:34:41,440 --> 00:34:45,080 Speaker 10: the hospital's, police, fire stations, wetewater treatment plans, and then 713 00:34:45,120 --> 00:34:47,680 Speaker 10: we grade land and sell it to homebuilders who build homes. 714 00:34:47,719 --> 00:34:48,560 Speaker 1: Residents move in. 715 00:34:48,920 --> 00:34:52,000 Speaker 10: They need commercial amenities, places to shop, office buildings to work. 716 00:34:52,040 --> 00:34:54,080 Speaker 10: We build those with the cash from selling land to 717 00:34:54,120 --> 00:34:57,160 Speaker 10: home builders and create these communities like Summerland. 718 00:34:57,760 --> 00:34:59,439 Speaker 1: Sometimes we build golf courses. 719 00:34:59,200 --> 00:35:01,480 Speaker 3: Right exactly, the TPC some in I've lost a lot 720 00:35:01,520 --> 00:35:05,319 Speaker 3: of golf balls in that desert. What's next? What's the 721 00:35:05,360 --> 00:35:08,120 Speaker 3: growth for your company. Here I'm looking at just on 722 00:35:08,120 --> 00:35:10,399 Speaker 3: the Bloomberg terminal. Here here's a company, folks. You got 723 00:35:10,400 --> 00:35:13,440 Speaker 3: a market cap about the three point seven billion dollars. 724 00:35:14,040 --> 00:35:17,040 Speaker 3: This company's got revenue, you know, about just right around 725 00:35:17,040 --> 00:35:19,920 Speaker 3: a billion dollars billion. Two is a forecast for twenty 726 00:35:20,160 --> 00:35:22,839 Speaker 3: twenty four ebitdah, which is what I look at because 727 00:35:22,840 --> 00:35:25,360 Speaker 3: that's actually you guys are a real estate company, so 728 00:35:25,400 --> 00:35:27,560 Speaker 3: operating come three hundred million. So this is a real 729 00:35:28,200 --> 00:35:30,520 Speaker 3: size company, some heft. You got about a five billion 730 00:35:30,560 --> 00:35:33,200 Speaker 3: dollars of debt on your balance sheet. Where's the growth 731 00:35:33,239 --> 00:35:33,760 Speaker 3: going forward? 732 00:35:33,960 --> 00:35:35,400 Speaker 1: It's across all of our communities. 733 00:35:35,600 --> 00:35:38,799 Speaker 10: Our job is to transform that raw land, that land 734 00:35:38,840 --> 00:35:41,600 Speaker 10: bank as you referred to it, into income producing assets 735 00:35:41,840 --> 00:35:44,560 Speaker 10: by meeting the demands in our community. And like I said, 736 00:35:44,600 --> 00:35:47,759 Speaker 10: across our portfolio, our multi family is very tight, high 737 00:35:47,800 --> 00:35:48,960 Speaker 10: nineties occupancy. 738 00:35:49,280 --> 00:35:50,120 Speaker 1: We need to build more. 739 00:35:50,360 --> 00:35:52,560 Speaker 10: So we're moving very quickly to start that next multi 740 00:35:52,560 --> 00:35:54,320 Speaker 10: family project in the Woodlands and the next one in 741 00:35:54,360 --> 00:35:56,320 Speaker 10: Summerland to meet the demand that's in that community. 742 00:35:56,320 --> 00:35:58,160 Speaker 3: So it's better to stay, I guess your strategies and 743 00:35:58,200 --> 00:36:01,320 Speaker 3: take your existing communities, the Woodlands in outside of Houston, 744 00:36:01,520 --> 00:36:03,920 Speaker 3: summer land in Vegas and expand those as opposed to 745 00:36:03,960 --> 00:36:05,840 Speaker 3: saying I'm going to Phoenix or something. 746 00:36:05,960 --> 00:36:08,279 Speaker 10: Well, it's funny you should say that. Two years ago 747 00:36:08,320 --> 00:36:10,520 Speaker 10: we went to Phoenix and bought thirty seven thousand acres 748 00:36:10,560 --> 00:36:14,160 Speaker 10: in a community called Arravalis. We're entitled for three hundred 749 00:36:14,160 --> 00:36:17,560 Speaker 10: thousand residents and fifty five million square feet of commercial space, 750 00:36:17,840 --> 00:36:21,560 Speaker 10: roughly the size of Saint Louis. We've already under contract 751 00:36:21,560 --> 00:36:24,160 Speaker 10: and sold over eight hundred lots to home builders at 752 00:36:24,239 --> 00:36:26,960 Speaker 10: over seven hundred thousand dollars an acre to meet the 753 00:36:27,000 --> 00:36:29,320 Speaker 10: housing demand that exists in the West Valley of Phoenix. 754 00:36:30,239 --> 00:36:32,040 Speaker 3: So who builds the homes? Do you build the homes here? 755 00:36:32,040 --> 00:36:34,040 Speaker 3: You go to DH hort and or Toll Brothers are 756 00:36:34,080 --> 00:36:34,600 Speaker 3: one of those guys. 757 00:36:34,640 --> 00:36:36,480 Speaker 10: We sell to all the public builders, a lot of 758 00:36:36,760 --> 00:36:39,400 Speaker 10: large regional private builders as well. We try to be 759 00:36:39,440 --> 00:36:43,440 Speaker 10: Switzerland sell land whoever bids highest and delivers the best product. 760 00:36:43,719 --> 00:36:46,360 Speaker 3: What's this interest We've been in this interest rate environment 761 00:36:46,400 --> 00:36:48,160 Speaker 3: for the past couple of years of much higher rates. 762 00:36:48,160 --> 00:36:50,000 Speaker 3: We all grew up, seems to like over the last 763 00:36:50,000 --> 00:36:53,880 Speaker 3: fifteen years with zero in interest rates. How's that impacted 764 00:36:53,960 --> 00:36:56,560 Speaker 3: your business's higher rates for longer. 765 00:36:56,280 --> 00:37:00,880 Speaker 10: It's been an accelerant sell It's absolutely contrary to popular opinion, 766 00:37:00,920 --> 00:37:03,160 Speaker 10: and its contrary to the headlines that we read every 767 00:37:03,239 --> 00:37:05,680 Speaker 10: day that higher rates is killing homes. 768 00:37:05,520 --> 00:37:06,560 Speaker 1: They're less affordable. 769 00:37:06,920 --> 00:37:09,760 Speaker 10: But really what it's done is it's taken out supply. 770 00:37:10,320 --> 00:37:11,200 Speaker 1: There's almost no. 771 00:37:11,200 --> 00:37:14,160 Speaker 10: Resale out there, so the home build there's a new 772 00:37:14,200 --> 00:37:16,680 Speaker 10: home construction, which is our business, are thriving. 773 00:37:17,560 --> 00:37:19,200 Speaker 1: We're seen greater. 774 00:37:19,000 --> 00:37:20,759 Speaker 10: Demand for those new homes than we have seen in 775 00:37:20,800 --> 00:37:25,080 Speaker 10: a long time. And if you add in that, last month, 776 00:37:25,400 --> 00:37:29,319 Speaker 10: for the first time in decades, new home pricing was 777 00:37:29,520 --> 00:37:32,880 Speaker 10: less expensive than resale. New homes have typically traded on 778 00:37:32,920 --> 00:37:36,440 Speaker 10: average for twenty or seventeen percent premium. Last month, they 779 00:37:36,480 --> 00:37:40,239 Speaker 10: were less expensive, interesting, and it's really pushing a lot 780 00:37:40,239 --> 00:37:42,040 Speaker 10: of buyers that want that quality of life in our 781 00:37:42,040 --> 00:37:44,680 Speaker 10: communities to buy new home construction. And that has been 782 00:37:44,760 --> 00:37:46,160 Speaker 10: an accelerant on our business. 783 00:37:46,360 --> 00:37:48,640 Speaker 3: I'll tell you, I mean just dh Horton. Just today 784 00:37:49,280 --> 00:37:51,480 Speaker 3: the stock jumps to a record high as their third 785 00:37:51,520 --> 00:37:53,120 Speaker 3: quarter earnings beat estimates. 786 00:37:54,560 --> 00:37:56,240 Speaker 1: Sometimes I'm lucky, not good. 787 00:37:56,480 --> 00:37:58,399 Speaker 10: I think it was about six months ago I thought 788 00:37:58,440 --> 00:38:00,359 Speaker 10: that to twenty twenty four would be the goal age 789 00:38:00,400 --> 00:38:02,880 Speaker 10: of home building rates would start to tick down a 790 00:38:02,920 --> 00:38:06,080 Speaker 10: little bit so that we'd see more demand in buying homes, 791 00:38:06,239 --> 00:38:07,160 Speaker 10: but not so much that. 792 00:38:07,160 --> 00:38:08,320 Speaker 1: We'd see resale pickup. 793 00:38:08,960 --> 00:38:11,680 Speaker 10: And the record margins that public homebuilders have been printing, 794 00:38:11,880 --> 00:38:13,799 Speaker 10: you know, twenty five to thirty percent, which to me, 795 00:38:13,920 --> 00:38:17,080 Speaker 10: I don't remember that in my career, just going to 796 00:38:17,080 --> 00:38:17,680 Speaker 10: remain strong. 797 00:38:17,880 --> 00:38:19,759 Speaker 3: So when you're selling lant to a dhort and you're like, 798 00:38:19,840 --> 00:38:21,319 Speaker 3: I'm not giving you a break on this, and I 799 00:38:21,360 --> 00:38:23,880 Speaker 3: just saw your earnings yesterday, guys are crushing it. 800 00:38:23,920 --> 00:38:26,040 Speaker 10: We put them out for bid, and we bid based 801 00:38:26,080 --> 00:38:28,480 Speaker 10: on a couple of different factors. One is price per acre, 802 00:38:28,719 --> 00:38:32,600 Speaker 10: but other is our builder price participation. We're expecting a 803 00:38:32,640 --> 00:38:35,360 Speaker 10: home to sell for call it five hundred thousand dollars. 804 00:38:35,719 --> 00:38:38,200 Speaker 1: If it trades for six hundred thousand, I get about 805 00:38:38,200 --> 00:38:40,920 Speaker 1: twenty percent of that upside. Okay, to make sure it's 806 00:38:40,920 --> 00:38:41,359 Speaker 1: a little bit. 807 00:38:41,280 --> 00:38:43,319 Speaker 10: Of smuck insurance, right if the market rips, I want 808 00:38:43,360 --> 00:38:45,200 Speaker 10: to make sure I get paid for my dirt appropriately, 809 00:38:45,440 --> 00:38:46,880 Speaker 10: so we have a little true up at the end 810 00:38:46,880 --> 00:38:47,719 Speaker 10: when the homes are sold. 811 00:38:47,880 --> 00:38:51,120 Speaker 3: Interesting, that's so smart. What do you expect in straits 812 00:38:51,400 --> 00:38:54,080 Speaker 3: to do? Here, I mean here, this global Wall Street, 813 00:38:54,120 --> 00:38:55,919 Speaker 3: that's all we talk about. It seems like what you're 814 00:38:55,960 --> 00:38:57,600 Speaker 3: on the ground, actually in the business. 815 00:38:57,719 --> 00:38:57,919 Speaker 1: Yeah. 816 00:38:57,960 --> 00:38:59,799 Speaker 10: Look, if I knew for sure, I wouldn't be talking 817 00:38:59,840 --> 00:39:01,959 Speaker 10: to you. I'd be on a beach somewhere. I do think, 818 00:39:02,200 --> 00:39:03,800 Speaker 10: you know, rates will start to come down towards the 819 00:39:03,840 --> 00:39:05,760 Speaker 10: end of the year. I think it'll be a modest decrease. 820 00:39:06,320 --> 00:39:08,759 Speaker 10: I don't think there'll be anything massive that will that 821 00:39:08,840 --> 00:39:11,520 Speaker 10: will shift the tides, so to speak. And I think 822 00:39:11,560 --> 00:39:14,880 Speaker 10: it'll be continue to be good for new home sales, 823 00:39:14,880 --> 00:39:17,799 Speaker 10: continue to be good for home builders, and continue to 824 00:39:17,800 --> 00:39:19,000 Speaker 10: be good for the value of our land. 825 00:39:19,160 --> 00:39:21,239 Speaker 3: All right, very good, and we'll see I mean again, 826 00:39:21,480 --> 00:39:24,480 Speaker 3: DH Horton came up with some big numbers today, so 827 00:39:24,520 --> 00:39:26,920 Speaker 3: that new housing market remains very strong. And if you've 828 00:39:26,920 --> 00:39:30,319 Speaker 3: got quality prop properties like you know the woodlands, or 829 00:39:30,440 --> 00:39:33,080 Speaker 3: you know someone in a good spot to be David O'Reilly, 830 00:39:33,080 --> 00:39:35,000 Speaker 3: thank you for joining us. David O'Reilly. He's the CEO 831 00:39:35,080 --> 00:39:39,480 Speaker 3: of Howard Hughes Trades on the NASDAQ. This ticker is 832 00:39:39,719 --> 00:39:41,719 Speaker 3: h h H. It's got a market cap at three 833 00:39:41,760 --> 00:39:44,760 Speaker 3: point six pillion dollars, up one point four percent today, 834 00:39:44,760 --> 00:39:45,799 Speaker 3: We appreciate you coming in. 835 00:39:46,160 --> 00:39:50,680 Speaker 2: This is the Bloomberg Intelligence Podcast, available on Apple, Spotify, 836 00:39:50,880 --> 00:39:53,800 Speaker 2: and anywhere else you will get your podcast. Listen live 837 00:39:53,880 --> 00:39:57,480 Speaker 2: each weekday, ten am to noon Eastern on Bloomberg dot com, 838 00:39:57,600 --> 00:40:00,320 Speaker 2: the Ihart radio app tune In, and the Blue Bomberg 839 00:40:00,360 --> 00:40:03,480 Speaker 2: Business app. You can also watch us live every weekday 840 00:40:03,520 --> 00:40:06,120 Speaker 2: on YouTube and always on the Bloomberg terminal