1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,400 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,959 Speaker 1: at Bloomberg dot com slash podcast. Let's talk about the 7 00:00:21,960 --> 00:00:25,440 Speaker 1: tech space PCs. People are still out there buying PCs, 8 00:00:25,480 --> 00:00:28,640 Speaker 1: Apparently they bought a lot during the pandemic, and maybe 9 00:00:28,840 --> 00:00:30,720 Speaker 1: comps are getting a little tougher here. But let's figure out. 10 00:00:30,760 --> 00:00:32,440 Speaker 1: We got some news out there that PC shipments are 11 00:00:32,440 --> 00:00:35,000 Speaker 1: down pretty big. Anna rog Rana, senior tech an also 12 00:00:35,000 --> 00:00:38,640 Speaker 1: Bloomberg Intelligence, joins us, what's going on in the PC 13 00:00:38,840 --> 00:00:41,960 Speaker 1: market is just us tough comps. I'm seeing minus twenty, 14 00:00:41,960 --> 00:00:45,760 Speaker 1: minus thirty even Apple minus forty percent on PC deliveries, 15 00:00:45,800 --> 00:00:49,000 Speaker 1: even though, as Matt Riley points out, Apple doesn't sell PCs, 16 00:00:49,040 --> 00:00:53,360 Speaker 1: they sell max. But what's going on in that PC space? No? No, 17 00:00:53,400 --> 00:00:55,640 Speaker 1: I agree, I mean I think it tough. Comps is 18 00:00:55,680 --> 00:00:58,800 Speaker 1: one thing, but you know, the street already had MAC 19 00:00:59,040 --> 00:01:02,120 Speaker 1: revenue going down twenty two. But if the unit shipments 20 00:01:02,240 --> 00:01:04,679 Speaker 1: is down forty percent. I think those numbers need to 21 00:01:04,680 --> 00:01:07,080 Speaker 1: come down a little bit more, which to me tells 22 00:01:07,080 --> 00:01:10,080 Speaker 1: me that the consumer spending is actually worse than what 23 00:01:10,160 --> 00:01:13,680 Speaker 1: we anticipated a quarter ago, and that should bleed into 24 00:01:13,720 --> 00:01:16,880 Speaker 1: other product categories as well. So I'm expecting a lot 25 00:01:16,920 --> 00:01:20,240 Speaker 1: more downward revision of consensus estimates over the next couple 26 00:01:20,240 --> 00:01:25,160 Speaker 1: of weeks. So you expect down or revision of senses estimates, 27 00:01:25,160 --> 00:01:29,920 Speaker 1: meaning that you also expect the stock to drop, right. 28 00:01:30,720 --> 00:01:32,680 Speaker 1: That depends on if you are renting it for a 29 00:01:32,760 --> 00:01:34,479 Speaker 1: quarter or if you're buying it for the long run. 30 00:01:34,560 --> 00:01:37,240 Speaker 1: So that's usually, you know, truly depends on who the 31 00:01:37,280 --> 00:01:40,280 Speaker 1: buyer is. But I don't expect the revenue numbers to 32 00:01:40,319 --> 00:01:43,000 Speaker 1: come down now that that may mean that whoever is 33 00:01:43,040 --> 00:01:46,040 Speaker 1: taking those numbers down maybe increasing it the year from now, 34 00:01:46,319 --> 00:01:48,680 Speaker 1: because it's not as if you know the buyer of 35 00:01:48,680 --> 00:01:51,680 Speaker 1: that particular MacBook Pro like yourself. You know, if you're 36 00:01:51,720 --> 00:01:53,320 Speaker 1: not buying it now, you're going to buy it six 37 00:01:53,360 --> 00:01:55,960 Speaker 1: months from now or twelve months from now. Okay, the 38 00:01:55,960 --> 00:01:58,280 Speaker 1: fact that I bought it twelve months ago because I 39 00:01:58,320 --> 00:02:03,440 Speaker 1: had some stimmies and and you know, I had to 40 00:02:03,480 --> 00:02:05,640 Speaker 1: work from home or had to do school from home. 41 00:02:05,760 --> 00:02:08,720 Speaker 1: Now I can work in the office, I can go 42 00:02:08,760 --> 00:02:11,720 Speaker 1: back to school. And plus, why would I spend money 43 00:02:11,760 --> 00:02:14,000 Speaker 1: on that kind of thing now that I don't have 44 00:02:14,120 --> 00:02:18,520 Speaker 1: the government sending me checks. Well, if you know the 45 00:02:18,520 --> 00:02:21,120 Speaker 1: people who the government was sending the checks, we're not 46 00:02:21,160 --> 00:02:24,600 Speaker 1: buying MacBook pros in my view. So if you are 47 00:02:24,600 --> 00:02:27,239 Speaker 1: a gamer and you're looking for MacBook Pro with the 48 00:02:27,720 --> 00:02:30,200 Speaker 1: next M two chip, you know you will spend fifteen 49 00:02:30,280 --> 00:02:32,840 Speaker 1: hundred dollars or two thousand dollars to buy it. But again, 50 00:02:33,080 --> 00:02:35,480 Speaker 1: that's a that's a luxury product. That's not something that 51 00:02:35,760 --> 00:02:39,359 Speaker 1: you know everybody can buy. All right, I just want 52 00:02:39,360 --> 00:02:41,280 Speaker 1: to get the generic Apple call here. What do you 53 00:02:41,320 --> 00:02:43,360 Speaker 1: think they gets census calls for this stock? Right here? 54 00:02:43,360 --> 00:02:46,080 Speaker 1: It's up twenty four percent year to date, still about 55 00:02:46,160 --> 00:02:48,440 Speaker 1: five percent down on a trailing twelve month basis, So 56 00:02:48,480 --> 00:02:50,600 Speaker 1: stick at trying to dig itself out of that twenty 57 00:02:50,639 --> 00:02:53,480 Speaker 1: twenty two hole. What's the when you talk to some 58 00:02:53,480 --> 00:02:56,239 Speaker 1: smart tech investors out there, what are they saying about Apple? 59 00:02:57,000 --> 00:02:58,519 Speaker 1: You know, I think if you look at both Apple 60 00:02:58,560 --> 00:03:00,720 Speaker 1: and Microsoft, they have been a safe stock for the 61 00:03:00,760 --> 00:03:03,480 Speaker 1: past several weeks. As people are trying to figure out 62 00:03:03,480 --> 00:03:06,200 Speaker 1: where they go from here. The valuation has gone up 63 00:03:06,200 --> 00:03:09,040 Speaker 1: for both these companies quite a bit in the last 64 00:03:09,040 --> 00:03:12,120 Speaker 1: two I would say, several weeks. Now the question is, 65 00:03:12,360 --> 00:03:14,960 Speaker 1: you know, what happens to the rest of the tech portfolio. 66 00:03:15,240 --> 00:03:18,240 Speaker 1: If we do see some stabilization in other tech stocks, 67 00:03:18,480 --> 00:03:20,359 Speaker 1: then you would see some kind of I would say, 68 00:03:20,360 --> 00:03:24,080 Speaker 1: a sector reallocation from you know, these two safety stocks 69 00:03:24,080 --> 00:03:26,360 Speaker 1: to some of the other ones. Now, having said that, 70 00:03:26,400 --> 00:03:29,560 Speaker 1: this is the first time I'm seeing a clear indication 71 00:03:29,600 --> 00:03:32,359 Speaker 1: that Apple numbers needs to come down. You know, that 72 00:03:32,480 --> 00:03:34,680 Speaker 1: wasn't the case. I would say in the last twelve months, 73 00:03:35,440 --> 00:03:38,680 Speaker 1: what do you think about chip usage? I mean, the 74 00:03:39,600 --> 00:03:44,640 Speaker 1: Samsung story and Taiwan Semiconductor as well, has really affected 75 00:03:44,760 --> 00:03:47,640 Speaker 1: the US market. Today we see a jump at Micron. 76 00:03:48,640 --> 00:03:51,840 Speaker 1: Does this mean that a lot of chip suppliers are 77 00:03:51,880 --> 00:03:55,120 Speaker 1: going to have fewer orders or have they bottomed at 78 00:03:55,120 --> 00:03:58,240 Speaker 1: this point? You see, that's a very tough call to 79 00:03:58,320 --> 00:04:01,240 Speaker 1: make because a lot depends on you know, autos and 80 00:04:01,320 --> 00:04:04,320 Speaker 1: other industries. It's not so much always tied with PCs, 81 00:04:04,360 --> 00:04:07,040 Speaker 1: although consumer spending you know, in PCs is a big 82 00:04:07,040 --> 00:04:10,000 Speaker 1: portion of chips. But I don't think Apple has ever 83 00:04:10,080 --> 00:04:12,200 Speaker 1: had an issue with supply chain when it comes to 84 00:04:12,840 --> 00:04:15,080 Speaker 1: you know, they get it first before anybody else. I'm 85 00:04:15,320 --> 00:04:18,840 Speaker 1: I'm less concerned on those factors. For my biggest concern 86 00:04:18,920 --> 00:04:21,560 Speaker 1: at this point for Apple is, um, you know, what's 87 00:04:21,600 --> 00:04:24,760 Speaker 1: really going to happen on the on some of these 88 00:04:24,760 --> 00:04:27,680 Speaker 1: products and how bad it's going to get in twenty 89 00:04:27,720 --> 00:04:30,880 Speaker 1: twenty three before we see a potential bounce back next year? 90 00:04:31,240 --> 00:04:34,119 Speaker 1: Do they have do they have to introduce a killer 91 00:04:34,200 --> 00:04:36,320 Speaker 1: new product? Are they going to make some kind of 92 00:04:36,480 --> 00:04:43,279 Speaker 1: virtual reality aar eyeglasses. Are they going to come out 93 00:04:43,279 --> 00:04:46,480 Speaker 1: with new air pods that blow us away for this 94 00:04:46,560 --> 00:04:49,719 Speaker 1: new function that we never knew headphones can have? Or 95 00:04:50,480 --> 00:04:53,160 Speaker 1: is the car coming soon? I don't know about the car, 96 00:04:53,200 --> 00:04:55,520 Speaker 1: but Mark German said that you know, they will launch 97 00:04:56,160 --> 00:04:58,719 Speaker 1: the new mixed reality headset in the summer. You know 98 00:04:58,760 --> 00:05:01,919 Speaker 1: that is going to truly vibe the whole metaphors discussion. 99 00:05:02,120 --> 00:05:05,400 Speaker 1: But I don't think mathematically it adds anything at least 100 00:05:05,400 --> 00:05:08,280 Speaker 1: for the next you know, this financial year. Next year, 101 00:05:08,320 --> 00:05:10,680 Speaker 1: perhaps it adds a few billion dollars, But you know 102 00:05:10,800 --> 00:05:12,760 Speaker 1: the big thing for Apple is going to be the 103 00:05:12,760 --> 00:05:15,760 Speaker 1: iPhone fifteen launch by the end of this year and 104 00:05:15,920 --> 00:05:18,920 Speaker 1: a revival potentially in the services division. So I think 105 00:05:18,960 --> 00:05:21,600 Speaker 1: comps are getting easier and easier for Apple for a 106 00:05:21,640 --> 00:05:24,760 Speaker 1: bounce back next year. But before that, I think we 107 00:05:24,800 --> 00:05:27,200 Speaker 1: need to have a take a step back on numbers 108 00:05:27,240 --> 00:05:30,000 Speaker 1: before we can jump back and say revenue growth is 109 00:05:30,000 --> 00:05:31,720 Speaker 1: going to get back again into that eight to ten 110 00:05:31,760 --> 00:05:35,599 Speaker 1: percent range. So I'm looking at the PGeo function on 111 00:05:35,640 --> 00:05:38,240 Speaker 1: the Bloomberg termo for Apple. I see about twenty percent 112 00:05:38,360 --> 00:05:42,240 Speaker 1: of their sales are in Greater China. Are the Chinese 113 00:05:42,360 --> 00:05:45,279 Speaker 1: buying watches and phones and all that kind of stuff? 114 00:05:45,320 --> 00:05:48,400 Speaker 1: What's the market like? I think this, You know, that's 115 00:05:48,400 --> 00:05:50,640 Speaker 1: probably only going to be the one bright spot for 116 00:05:50,680 --> 00:05:53,200 Speaker 1: Apple over the next six months, because you know, the 117 00:05:53,560 --> 00:05:57,240 Speaker 1: China reopening trade and the Chinese consumer really hasn't spent 118 00:05:57,360 --> 00:05:59,479 Speaker 1: quite a bit over the last twelve months. You know, 119 00:05:59,480 --> 00:06:02,120 Speaker 1: we could see some relief over there to offset the 120 00:06:02,160 --> 00:06:05,159 Speaker 1: other things that we are talking about. But you know, again, 121 00:06:05,360 --> 00:06:07,520 Speaker 1: I think the big jump is going to come from 122 00:06:07,720 --> 00:06:10,960 Speaker 1: a new hardware design from the iPhone fifteen, which is 123 00:06:11,040 --> 00:06:13,440 Speaker 1: most likely going to be in the September October timeframe. 124 00:06:14,200 --> 00:06:16,679 Speaker 1: All right, Now, Tim Cook was over there right in China, 125 00:06:16,720 --> 00:06:19,520 Speaker 1: and what was she trying to do. It's trying to 126 00:06:19,520 --> 00:06:22,360 Speaker 1: be nice to them. That's where they you know, it's 127 00:06:22,880 --> 00:06:25,279 Speaker 1: it is. It is the heart and lungs off Apple 128 00:06:25,360 --> 00:06:28,320 Speaker 1: supply chain. If something happens to that, Apple's going to 129 00:06:28,360 --> 00:06:30,880 Speaker 1: be in really tough time. So he's just kind of 130 00:06:30,920 --> 00:06:34,160 Speaker 1: trying to smooth things out that otherwise it's getting worse. Frankly, 131 00:06:34,320 --> 00:06:38,360 Speaker 1: Hey guys, you look great today. Hey, anybody wants the 132 00:06:38,400 --> 00:06:43,200 Speaker 1: new iPhone? Isn't Taiwan yours anyway? Yes, exactly, So I 133 00:06:43,320 --> 00:06:45,080 Speaker 1: love to see about that. I don't know that's that's 134 00:06:45,120 --> 00:06:47,640 Speaker 1: still a huge risk there, but I guess trying to 135 00:06:47,720 --> 00:06:49,679 Speaker 1: smooth it over a little bit. On agron I, senior 136 00:06:49,720 --> 00:06:53,200 Speaker 1: technology analyst with Bloomberg Intelligence, joining us on the phone 137 00:06:53,240 --> 00:06:57,960 Speaker 1: talking about Apple, mac shipment's PC shipment's across the industry. 138 00:06:59,160 --> 00:07:03,040 Speaker 1: You're listening to the Team Cancer Line program Bloomberg Markets 139 00:07:03,080 --> 00:07:06,159 Speaker 1: weekdays at ten am Eastern on Bloomberg dot com, the 140 00:07:06,240 --> 00:07:08,960 Speaker 1: I Heard Radio app and the Bloomberg Business app, or 141 00:07:09,000 --> 00:07:13,960 Speaker 1: listen on demand wherever you get your podcast. Let's get 142 00:07:14,000 --> 00:07:17,360 Speaker 1: to the next company, which I find really fascinating. I 143 00:07:17,440 --> 00:07:21,280 Speaker 1: was initially interested because it's called the Howard Hughes Corporation, 144 00:07:21,880 --> 00:07:26,760 Speaker 1: and who isn't interested in Howard Hughes, right, But it's 145 00:07:26,800 --> 00:07:31,080 Speaker 1: actually got that name in a roundabout way. Howard Hughes 146 00:07:31,680 --> 00:07:36,160 Speaker 1: bought the property for one of their master planned communities. 147 00:07:36,800 --> 00:07:41,160 Speaker 1: And now that's the business that they're in. But it's 148 00:07:41,200 --> 00:07:43,600 Speaker 1: not all stuff they got from Howard Hughes, mostly general 149 00:07:43,640 --> 00:07:47,400 Speaker 1: growth properties. David O'Reilly joins as CEO of the company. 150 00:07:47,440 --> 00:07:50,760 Speaker 1: The ticker is HC. It's publicly traded on the New 151 00:07:50,840 --> 00:07:54,280 Speaker 1: York Stock Exchange. David, so talk to us first, give 152 00:07:54,360 --> 00:07:57,440 Speaker 1: us the overhead view of the Howard Hughes Corporation. You 153 00:07:57,520 --> 00:08:01,800 Speaker 1: have at least three master planned communities, right, These are big. 154 00:08:01,840 --> 00:08:04,560 Speaker 1: It's not like a few thousands, like one hundred thousand 155 00:08:04,560 --> 00:08:07,520 Speaker 1: people live in them, and there are thousands of acres. 156 00:08:07,880 --> 00:08:11,040 Speaker 1: So what's the business. It's the end of the day. 157 00:08:11,240 --> 00:08:14,960 Speaker 1: We play sim city. We're developing real estate to create 158 00:08:15,000 --> 00:08:17,120 Speaker 1: the greatest places to live, to have the greatest and 159 00:08:17,200 --> 00:08:21,679 Speaker 1: positive impact on our residents, tenants and visitors lives. Sell 160 00:08:21,760 --> 00:08:25,080 Speaker 1: land to home builders, take that capital to amenitize built office, 161 00:08:25,200 --> 00:08:28,720 Speaker 1: multi families, shopping within our communities, which in turn makes 162 00:08:28,720 --> 00:08:31,520 Speaker 1: it better places to live where more people want to 163 00:08:31,520 --> 00:08:33,840 Speaker 1: come live there, our land values go up, and that 164 00:08:33,880 --> 00:08:37,160 Speaker 1: self fulfilling cycle goes on and on. We essentially play 165 00:08:37,240 --> 00:08:39,439 Speaker 1: sim city. We decide where the roads go, where the 166 00:08:39,480 --> 00:08:42,680 Speaker 1: hospitals are, where the homes are, and create what we 167 00:08:42,720 --> 00:08:44,760 Speaker 1: think are the best communities to live in America. And 168 00:08:44,800 --> 00:08:47,280 Speaker 1: then they have then they hopefully you know, they have 169 00:08:47,559 --> 00:08:52,640 Speaker 1: the best plumbing, the best WiFi, pickleball on demand yep. 170 00:08:53,040 --> 00:08:54,920 Speaker 1: And they also had a good golf course then in Houston. 171 00:08:55,160 --> 00:08:57,439 Speaker 1: So all right, when I see a new company, I 172 00:08:57,480 --> 00:08:58,960 Speaker 1: got right to the board of directors. I see your 173 00:08:59,000 --> 00:09:02,480 Speaker 1: chairman of the boarders, Bill Ackman. Why is he the chairman? 174 00:09:02,520 --> 00:09:04,640 Speaker 1: Then I go to the HDS screen gives you the 175 00:09:04,640 --> 00:09:07,840 Speaker 1: shareholders and thirty two percent of your company. What's going 176 00:09:07,880 --> 00:09:10,240 Speaker 1: on there? Wise? Persian there? Why are they big? Wise? Bill? 177 00:09:10,280 --> 00:09:12,600 Speaker 1: On your board? Well? Bill took over General Growth when 178 00:09:12,600 --> 00:09:15,240 Speaker 1: it filed for bankruptcy. And when he went through the 179 00:09:15,320 --> 00:09:19,280 Speaker 1: assets of General Growth, he saw these communities, these great places, 180 00:09:19,360 --> 00:09:23,000 Speaker 1: these unique development opportunities that didn't belong in a public malread. 181 00:09:23,200 --> 00:09:26,720 Speaker 1: So the Howard used corporation is Bill's idea. He came 182 00:09:26,840 --> 00:09:28,719 Speaker 1: up with it. He spun us out into our own 183 00:09:28,840 --> 00:09:31,640 Speaker 1: entity about twelve years ago, and he's been an incredible 184 00:09:31,679 --> 00:09:34,400 Speaker 1: supporter and incredible chairman ever since day one. So what 185 00:09:34,440 --> 00:09:37,040 Speaker 1: do the numbers look like? I mean, how are you 186 00:09:37,080 --> 00:09:40,160 Speaker 1: doing on the top and bottom line and give us 187 00:09:40,160 --> 00:09:44,160 Speaker 1: your five year view. Things have been incredible. The pandemic 188 00:09:44,240 --> 00:09:47,160 Speaker 1: has been an incredible tail winds to our business. We've 189 00:09:47,160 --> 00:09:49,720 Speaker 1: sold more land to home builders, which is one of 190 00:09:49,760 --> 00:09:51,720 Speaker 1: the three main areas of revenue for us, over the 191 00:09:51,720 --> 00:09:54,240 Speaker 1: past two years than we have ever before. And we 192 00:09:54,280 --> 00:09:56,880 Speaker 1: see that momentum, despite a rest bite in the fourth 193 00:09:56,960 --> 00:10:00,560 Speaker 1: quarter of last year, coming right back very quickly this year, 194 00:10:00,800 --> 00:10:03,320 Speaker 1: despite higher mortgage rates. That's kind of where I wanted 195 00:10:03,320 --> 00:10:05,280 Speaker 1: to go. We've seen that spike in mortgage rates. It's 196 00:10:05,280 --> 00:10:07,240 Speaker 1: scared a lot of people out of the market. Not me, 197 00:10:07,679 --> 00:10:09,199 Speaker 1: but it scared some people out of the market. What 198 00:10:09,280 --> 00:10:11,880 Speaker 1: are you seeing kind of in this spike in real 199 00:10:11,960 --> 00:10:14,640 Speaker 1: estate more mortgage rates. I don't think it's the spike 200 00:10:14,679 --> 00:10:17,760 Speaker 1: of rates that changes home builder demands. I think it's 201 00:10:17,800 --> 00:10:22,440 Speaker 1: the change the volatility of rates forces homebuyers to pause. 202 00:10:22,880 --> 00:10:25,760 Speaker 1: Once it settles in, they're right back to the market. 203 00:10:25,920 --> 00:10:28,880 Speaker 1: We're looking out between a three and five million unit 204 00:10:28,960 --> 00:10:32,840 Speaker 1: shortfall of housing units needed to meet the household formation 205 00:10:32,880 --> 00:10:35,640 Speaker 1: of the past ten years. It doesn't exist today. People 206 00:10:35,679 --> 00:10:37,559 Speaker 1: need places to look. I'll tell you what exist is 207 00:10:37,600 --> 00:10:41,720 Speaker 1: all the McMansions everywhere. What doesn't exist is starter homes 208 00:10:42,360 --> 00:10:44,360 Speaker 1: because those guys can't make the same margin on it. 209 00:10:44,559 --> 00:10:46,920 Speaker 1: How do we fix that problem? Do you think? Oh? Look, 210 00:10:46,960 --> 00:10:49,960 Speaker 1: I think that it's tough for me to say that 211 00:10:50,000 --> 00:10:52,680 Speaker 1: there's a magic wand to solve that. Across the country. 212 00:10:53,200 --> 00:10:57,240 Speaker 1: Within our Masterplant communities, which are twenty thirty thousand acres plus, 213 00:10:57,400 --> 00:11:00,880 Speaker 1: we're prescriptive in terms of what homes are being sold 214 00:11:00,920 --> 00:11:03,880 Speaker 1: for what price wear prescriptive in terms of the setbacks. 215 00:11:03,920 --> 00:11:07,040 Speaker 1: That sizes the pricing so that we can meet affordability 216 00:11:07,040 --> 00:11:11,400 Speaker 1: across every price point within our community. Look over the 217 00:11:11,480 --> 00:11:15,120 Speaker 1: past year, we've seen home prices shoot up, and that 218 00:11:15,240 --> 00:11:17,679 Speaker 1: part of that material prices getting higher. Part of that's 219 00:11:17,760 --> 00:11:20,400 Speaker 1: labor higher, part of that's my land has been more expensive, 220 00:11:20,720 --> 00:11:23,160 Speaker 1: and part of that has been home builder margins. Home 221 00:11:23,160 --> 00:11:25,480 Speaker 1: building margins have been in that eighteen to twenty percent 222 00:11:25,559 --> 00:11:28,079 Speaker 1: since I can remember, and last year they peaked at 223 00:11:28,080 --> 00:11:31,960 Speaker 1: twenty nine percent. So there's room. We're seeing material prices 224 00:11:31,960 --> 00:11:34,680 Speaker 1: come down. We're seeing home builders except lower margins. We're 225 00:11:34,679 --> 00:11:38,560 Speaker 1: seeing homes land sellers like ourselves, except slightly lower prices. Now, 226 00:11:38,559 --> 00:11:40,920 Speaker 1: where do you buy land, like when you decide I 227 00:11:40,960 --> 00:11:44,240 Speaker 1: want to build another woodlands, where do you find How 228 00:11:44,280 --> 00:11:46,559 Speaker 1: do you identify our market that is worthy of your 229 00:11:46,559 --> 00:11:49,400 Speaker 1: investment of land? So for us, we belt We bought 230 00:11:49,400 --> 00:11:51,959 Speaker 1: our last master plane community at the end of last year. 231 00:11:52,520 --> 00:11:55,400 Speaker 1: It's called Terra Vallis outside of Phoenix, thirty seven thousand 232 00:11:55,440 --> 00:11:59,760 Speaker 1: acres today, population zero. The characteristics that make that great 233 00:12:00,120 --> 00:12:02,960 Speaker 1: it's fully entitled fore hundred thousand homes in fifty five 234 00:12:03,000 --> 00:12:06,319 Speaker 1: million square feet of commercial space. It is immediately adjacent 235 00:12:06,320 --> 00:12:08,760 Speaker 1: to Phoenix, just north of the I ten that connects 236 00:12:08,800 --> 00:12:13,560 Speaker 1: to Los Angeles. So great transportation, great access, lower tax, 237 00:12:13,760 --> 00:12:17,840 Speaker 1: business friendly community, warm or less expensive to live. Affordability 238 00:12:17,880 --> 00:12:19,839 Speaker 1: helps drive our decision. Make is that only going to 239 00:12:19,920 --> 00:12:23,000 Speaker 1: be you know, the older people like Paul and Tucker 240 00:12:23,679 --> 00:12:27,600 Speaker 1: or kind of young buck like Megan and on that 241 00:12:28,360 --> 00:12:30,640 Speaker 1: I would tell you that we're going to see this community. 242 00:12:30,640 --> 00:12:32,360 Speaker 1: I think it's going to be more starter homes. I 243 00:12:32,360 --> 00:12:34,880 Speaker 1: think it's going to be more younger families coming into 244 00:12:34,920 --> 00:12:38,559 Speaker 1: the market. I think this is going to be not 245 00:12:38,679 --> 00:12:41,920 Speaker 1: your age restricted community. Will have age restricted communities within 246 00:12:41,960 --> 00:12:44,800 Speaker 1: the overall thirty seven thousand acres, but the predominance is 247 00:12:44,920 --> 00:12:47,640 Speaker 1: starting here is going to be your young families moving 248 00:12:47,679 --> 00:12:49,839 Speaker 1: into the area finding that quality of life that they 249 00:12:49,840 --> 00:12:53,080 Speaker 1: can't get in La Sanford. So you're so you're now 250 00:12:53,120 --> 00:12:55,440 Speaker 1: a kind of a ground zero type of situation in 251 00:12:55,559 --> 00:12:58,920 Speaker 1: that community in Phoenix for that property. What's a lifespan 252 00:12:59,320 --> 00:13:01,720 Speaker 1: before you get to a Woodlands where it is built 253 00:13:01,760 --> 00:13:03,360 Speaker 1: out and it looks like it's been there forever. Well, 254 00:13:03,400 --> 00:13:08,240 Speaker 1: the Woodlands is celebrating its fiftieth anterimursary next year, and 255 00:13:08,320 --> 00:13:12,000 Speaker 1: we're out of residential land. All twenty twenty eight thousand 256 00:13:12,000 --> 00:13:14,679 Speaker 1: acres or of the residential side are gone. We're down 257 00:13:14,720 --> 00:13:17,200 Speaker 1: to seven hundred acres of commercial space, which is another 258 00:13:17,440 --> 00:13:20,960 Speaker 1: twenty or thirty years of commercial development. So the life 259 00:13:20,960 --> 00:13:23,079 Speaker 1: cycle of Tera Vallis and Phoenix could be forty or 260 00:13:23,120 --> 00:13:25,439 Speaker 1: fifty years. Wow, I think it'll be quicker this. And 261 00:13:25,559 --> 00:13:27,680 Speaker 1: you have developers, did that you know you want to 262 00:13:27,679 --> 00:13:30,400 Speaker 1: work with to build the homes, to build the commercial space? 263 00:13:30,520 --> 00:13:33,960 Speaker 1: Is that do you pick those? We are the commercial developer, 264 00:13:34,120 --> 00:13:37,120 Speaker 1: you're the career master planning. We're just signing where those 265 00:13:37,200 --> 00:13:39,280 Speaker 1: roads are gonna go. We're gonna build those office buildings, 266 00:13:39,320 --> 00:13:41,280 Speaker 1: so you build them as well. Okay, we're gonna own 267 00:13:41,280 --> 00:13:43,959 Speaker 1: them forever. We'll sell the land to home builders, okay, 268 00:13:43,960 --> 00:13:47,640 Speaker 1: and they'll build a single family homes and got in 269 00:13:47,679 --> 00:13:49,360 Speaker 1: the residence. So you can't help us up with a 270 00:13:49,360 --> 00:13:52,760 Speaker 1: good contractor. I mean I was going to ask you. 271 00:13:52,960 --> 00:13:54,480 Speaker 1: I was gonna see if you had a couple of records. 272 00:13:54,480 --> 00:13:56,640 Speaker 1: Everybody wants to know because that kind of labor is 273 00:13:56,640 --> 00:13:58,800 Speaker 1: tough to come by. But I guess you outsourced the 274 00:13:58,840 --> 00:14:01,800 Speaker 1: home building process, so you're not as worried about, you know, 275 00:14:01,920 --> 00:14:05,280 Speaker 1: finding people to put it up. Our labor is horizontal development. 276 00:14:05,320 --> 00:14:08,720 Speaker 1: It is putting in the water, sewer, roads, curbs parks, 277 00:14:08,800 --> 00:14:12,160 Speaker 1: and that labor is still very difficult to find. I 278 00:14:12,200 --> 00:14:15,000 Speaker 1: think our competitive advantage is that when we're spending a 279 00:14:15,000 --> 00:14:16,720 Speaker 1: billion and a half dollars a year, and we know 280 00:14:16,760 --> 00:14:18,520 Speaker 1: we're going to spend it for the next forty years, 281 00:14:19,320 --> 00:14:21,960 Speaker 1: we can keep someone's attention real time, rather than have 282 00:14:22,040 --> 00:14:24,400 Speaker 1: them worry about moving to the next project in six months. 283 00:14:24,440 --> 00:14:26,640 Speaker 1: So what are some of the big variables for your business? 284 00:14:26,640 --> 00:14:30,520 Speaker 1: I mean, if your business can perform presumably you know 285 00:14:30,680 --> 00:14:33,360 Speaker 1: you're saying, even at these levels of interest rates, what 286 00:14:33,400 --> 00:14:35,120 Speaker 1: are some of the big variables that kind of you 287 00:14:35,200 --> 00:14:38,040 Speaker 1: have to manage as a CEO. I think some of 288 00:14:38,120 --> 00:14:41,240 Speaker 1: the biggest thing is there's two areas. One in the 289 00:14:41,280 --> 00:14:44,320 Speaker 1: residential land development. We're trying to develop lots just to 290 00:14:44,400 --> 00:14:47,080 Speaker 1: keep up with underlying home sales, right and underlying home 291 00:14:47,120 --> 00:14:49,680 Speaker 1: sales are very difficult to predict, but we're watching them 292 00:14:49,720 --> 00:14:52,880 Speaker 1: every day to see which size lots selling, which size 293 00:14:52,920 --> 00:14:54,960 Speaker 1: homes are selling, and making sure we have those lots 294 00:14:55,000 --> 00:14:58,200 Speaker 1: available for our home builders to get back into their inventory. 295 00:14:58,600 --> 00:15:00,680 Speaker 1: And the other side of the equation is really just 296 00:15:00,720 --> 00:15:03,400 Speaker 1: trying to get a pulse of our residence. We're most 297 00:15:03,400 --> 00:15:07,080 Speaker 1: successful when we're building the amenities that our residents want, 298 00:15:07,600 --> 00:15:10,880 Speaker 1: whether that's the Kirby Ice House in the Woodlands or 299 00:15:10,880 --> 00:15:14,000 Speaker 1: whether that's another multi family apartment building. Because we're full 300 00:15:14,200 --> 00:15:17,320 Speaker 1: and rents are raised rising too quickly, we need to 301 00:15:17,400 --> 00:15:19,560 Speaker 1: be we make sure we have a finger on the 302 00:15:19,600 --> 00:15:22,280 Speaker 1: pulse of what our residents want and meet that demand. 303 00:15:22,880 --> 00:15:25,920 Speaker 1: I'm telling you it's pickaball. It's pickaball. Yeah, I don't 304 00:15:25,920 --> 00:15:29,040 Speaker 1: know it has been. It's been amazing how we've seen 305 00:15:29,160 --> 00:15:32,960 Speaker 1: parking garages and tennis courts being repurposed for pickaball and 306 00:15:33,040 --> 00:15:36,400 Speaker 1: it gets used. So I see a big drop in 307 00:15:36,440 --> 00:15:39,400 Speaker 1: revenue in twenty twenty. Was that just all pandemic driven? 308 00:15:39,440 --> 00:15:41,600 Speaker 1: You guys kind of had to shut down development? It is, 309 00:15:41,800 --> 00:15:44,080 Speaker 1: But we also another part of our business is selling 310 00:15:44,080 --> 00:15:46,480 Speaker 1: condominiums in Hawaii, where we have sixty acres on the 311 00:15:46,520 --> 00:15:49,360 Speaker 1: beach in an area known as Ward Village between Waikiki 312 00:15:49,480 --> 00:15:52,760 Speaker 1: and alamo Ona Mall. If we don't have a condo 313 00:15:52,840 --> 00:15:55,960 Speaker 1: tower closed in a particular year, the revenue will drop off. 314 00:15:57,000 --> 00:15:59,800 Speaker 1: You know, We're not running our business for next quarters earnings, 315 00:16:00,080 --> 00:16:03,080 Speaker 1: running our business to drive value creation for the next one, three, five, 316 00:16:03,480 --> 00:16:06,320 Speaker 1: ten years. Fascinating stuff. I knew. I knew the Woodlands. 317 00:16:06,320 --> 00:16:07,480 Speaker 1: I've been there a couple of times. I didn't know 318 00:16:07,520 --> 00:16:09,360 Speaker 1: as you guys, so very very cool Slumberland. Is it 319 00:16:09,400 --> 00:16:13,800 Speaker 1: called Summerlin outside Vegas? Yes, I played their tid. Hughes 320 00:16:13,880 --> 00:16:16,200 Speaker 1: has been gone for about fifty years as well. I 321 00:16:16,200 --> 00:16:18,920 Speaker 1: think he died in nineteen seventy three. Yeah, you fly 322 00:16:18,960 --> 00:16:21,560 Speaker 1: into Lax you see the Hughes aerospace, which is very cool. 323 00:16:21,720 --> 00:16:25,080 Speaker 1: David O'Reilly, CEO of Howard Hughes Corporation, trades on the 324 00:16:25,160 --> 00:16:30,080 Speaker 1: NYC h HC talking about some planned communities, some commercial 325 00:16:30,120 --> 00:16:32,720 Speaker 1: real estate. You're listening to. The tape cans are our 326 00:16:32,800 --> 00:16:36,520 Speaker 1: live program Bloomberg Markets weekdays at ten am Eastern on 327 00:16:36,560 --> 00:16:39,600 Speaker 1: Bloomberg Radio, the tune in app, Bloomberg dot Com, and 328 00:16:39,680 --> 00:16:42,440 Speaker 1: the Bloomberg Business App. You can also listen live on 329 00:16:42,520 --> 00:16:45,800 Speaker 1: Amazon Alexa from our flagship New York station, Just say 330 00:16:45,880 --> 00:16:51,600 Speaker 1: Alexa play Bloomberg eleven thirty twenty twenty two. There was 331 00:16:51,960 --> 00:16:54,720 Speaker 1: nowhere to hide really in the fixed income space. But 332 00:16:54,800 --> 00:16:57,440 Speaker 1: I look at my i nd go function on the 333 00:16:57,480 --> 00:16:59,920 Speaker 1: Bloomberg terminal for the Bloomberg Index browser, and I see 334 00:17:00,040 --> 00:17:04,320 Speaker 1: the Bloomberg US Aggregate fixed Income Index is up three 335 00:17:04,359 --> 00:17:06,560 Speaker 1: point five percent this year. So a much much better 336 00:17:06,600 --> 00:17:09,080 Speaker 1: start to twenty twenty three. Let's see if there's more 337 00:17:09,119 --> 00:17:12,159 Speaker 1: life in the fixed income space. Jason Greenblath joins us. 338 00:17:12,160 --> 00:17:15,760 Speaker 1: He's a senior portfolio manager in American Century Investments, proud 339 00:17:15,800 --> 00:17:19,520 Speaker 1: alumnus from Penn State University, joining us here in our 340 00:17:19,520 --> 00:17:22,359 Speaker 1: Bloomberg Interactive Broker studio. So what do you do in 341 00:17:22,400 --> 00:17:24,439 Speaker 1: this year? Jason, I mean twenty twenty two, let's just 342 00:17:24,480 --> 00:17:27,000 Speaker 1: flush it. That's how bad it was for the fixed 343 00:17:27,000 --> 00:17:30,119 Speaker 1: income folks. How'd you guys start this year and what 344 00:17:30,160 --> 00:17:32,080 Speaker 1: do you think right now? Yeah, thanks for having me on. 345 00:17:32,119 --> 00:17:36,280 Speaker 1: I appreciate it. Our highest conviction this year is duration, 346 00:17:36,400 --> 00:17:42,080 Speaker 1: belong duration coming in. We've certainly seen some evidence last month. 347 00:17:42,119 --> 00:17:45,480 Speaker 1: We saw evidence back in September that higher rates are 348 00:17:45,480 --> 00:17:48,640 Speaker 1: starting to break things down in the economy. Last month 349 00:17:48,760 --> 00:17:52,120 Speaker 1: was the banks back in September, with UK pension plans 350 00:17:52,440 --> 00:17:56,000 Speaker 1: having problems and so being long duration in our mind 351 00:17:56,119 --> 00:18:00,040 Speaker 1: is the economy's slowing is our highest conviction position. And 352 00:18:00,240 --> 00:18:03,400 Speaker 1: at the moment, yeah, we saw, well, there's a Bloomberg 353 00:18:03,520 --> 00:18:08,600 Speaker 1: story out overnight about one and a half trillion dollar 354 00:18:08,840 --> 00:18:15,399 Speaker 1: wall of maturity coming due in just commercial real estate 355 00:18:15,840 --> 00:18:18,959 Speaker 1: by twenty twenty five. So it started to kind of 356 00:18:18,960 --> 00:18:21,320 Speaker 1: freak me out. I was worried, as had nightmares as 357 00:18:21,359 --> 00:18:24,640 Speaker 1: I read this last night, because these higher rates could 358 00:18:24,760 --> 00:18:27,320 Speaker 1: really break something. Right, We've already seen as you said, 359 00:18:27,359 --> 00:18:31,439 Speaker 1: the banking crisis. Are are we giving up on the 360 00:18:31,480 --> 00:18:34,239 Speaker 1: idea of a soft landing? Can the Fed not achieve that? 361 00:18:34,920 --> 00:18:38,320 Speaker 1: In our minds, it's a low probability. The probability recession 362 00:18:38,400 --> 00:18:42,760 Speaker 1: harder landing certainly has has grown the beginning of March 363 00:18:42,840 --> 00:18:47,120 Speaker 1: with the banking crisis certainly illustrated that, Matt, you mentioned 364 00:18:47,400 --> 00:18:50,680 Speaker 1: series and what's going on with maturity walls. I think 365 00:18:50,720 --> 00:18:53,320 Speaker 1: if you look inside the data, there are certain loans 366 00:18:53,760 --> 00:18:56,760 Speaker 1: even here in Manhattan that are being marked at fifty 367 00:18:56,760 --> 00:18:59,840 Speaker 1: cents on the dollar. You can certainly see that cap 368 00:19:00,040 --> 00:19:04,480 Speaker 1: rates have gone up substantially. Office vacancies, you know, are 369 00:19:04,520 --> 00:19:08,000 Speaker 1: certainly playing into that, and I think you know higher 370 00:19:08,119 --> 00:19:13,440 Speaker 1: rates are also causing issues with refinancings A push that 371 00:19:13,480 --> 00:19:17,919 Speaker 1: blue button. Are you concerned about financial institutions banks and 372 00:19:17,960 --> 00:19:21,480 Speaker 1: their real estate portfolios, because I'm not sure. Some folks 373 00:19:21,520 --> 00:19:23,240 Speaker 1: are saying it had the big money center banks don't 374 00:19:23,240 --> 00:19:24,480 Speaker 1: have to worry about it so much. It's more the 375 00:19:24,520 --> 00:19:27,080 Speaker 1: regional banks. How do you think about that? Yeah, I 376 00:19:27,119 --> 00:19:32,199 Speaker 1: think the regional banks certainly for sure have the higher exposure. Right. 377 00:19:32,200 --> 00:19:35,320 Speaker 1: It's something like forty percent of their U of small 378 00:19:35,320 --> 00:19:37,760 Speaker 1: business loans are coming out of these regional banks. So 379 00:19:37,800 --> 00:19:40,600 Speaker 1: we need that part of the plumbing to certainly be 380 00:19:40,760 --> 00:19:43,040 Speaker 1: be flowing and working. And you know, you guys at 381 00:19:43,080 --> 00:19:46,200 Speaker 1: Bloomberg had a great story over the weekend on financial 382 00:19:46,200 --> 00:19:48,840 Speaker 1: conditions and loans coming down the last two weeks of March, 383 00:19:49,119 --> 00:19:52,040 Speaker 1: there's clearer evidence. I think we'll see a little bit 384 00:19:52,040 --> 00:19:54,840 Speaker 1: more over the next one to two weeks with bank earnings, 385 00:19:54,840 --> 00:19:57,520 Speaker 1: but we also need one to two more quarters to 386 00:19:57,560 --> 00:20:01,360 Speaker 1: see if this becomes a trend or not. We talk 387 00:20:01,440 --> 00:20:05,199 Speaker 1: about first of all, we're not great it running the 388 00:20:05,200 --> 00:20:08,040 Speaker 1: audio today. No, it was a weekend. True, it was 389 00:20:08,080 --> 00:20:11,680 Speaker 1: a long weekend too. It's a Monday. We talk about 390 00:20:11,680 --> 00:20:14,000 Speaker 1: the world insurrate probability screen a lot. I'm sure you're 391 00:20:14,040 --> 00:20:16,399 Speaker 1: familiar with it on the Bloomberg terminal. It shows what 392 00:20:16,440 --> 00:20:19,600 Speaker 1: the market is pricing in terms of the Fed moves right, 393 00:20:19,640 --> 00:20:25,600 Speaker 1: and currently we're pricing in four rate cuts through January 394 00:20:25,720 --> 00:20:28,199 Speaker 1: thirty first, twenty twenty four. Does that make sense to you? 395 00:20:28,359 --> 00:20:31,359 Speaker 1: Do you buy it? Our thought is the Fed's going 396 00:20:31,400 --> 00:20:33,800 Speaker 1: to raise one more time next month and early meg 397 00:20:34,119 --> 00:20:37,879 Speaker 1: and then pause. If something else breaks, then maybe they 398 00:20:37,920 --> 00:20:39,520 Speaker 1: will cut, but we think they're going to hold that 399 00:20:39,680 --> 00:20:43,880 Speaker 1: just to ensure that inflation is really under control. So 400 00:20:44,080 --> 00:20:47,160 Speaker 1: those four rate cuts probably don't happen in twenty five 401 00:20:47,160 --> 00:20:50,119 Speaker 1: bases point increments in our minds, they happen in hundred 402 00:20:50,200 --> 00:20:53,399 Speaker 1: or two hundred bases point increments when something really breaks. Well, 403 00:20:53,480 --> 00:20:56,080 Speaker 1: that's terrifying though it is it is, And so I 404 00:20:56,119 --> 00:20:58,840 Speaker 1: think the other element we talked about being long duration. 405 00:20:58,840 --> 00:21:02,080 Speaker 1: The other element is being credit risk. Credit spreads, in 406 00:21:02,119 --> 00:21:06,040 Speaker 1: our mind do not reflect a recession, a hard landing. 407 00:21:06,920 --> 00:21:08,680 Speaker 1: You know, in the mid to high four hundreds and 408 00:21:08,720 --> 00:21:11,399 Speaker 1: high yield credit spreads, it's kind of normal and average 409 00:21:11,440 --> 00:21:14,120 Speaker 1: over the last ten years. What's not normal is eight 410 00:21:14,119 --> 00:21:17,200 Speaker 1: and a half percent because treasury rate rates are higher. 411 00:21:17,480 --> 00:21:20,080 Speaker 1: So in our mind, credit spreads are not reflecting that 412 00:21:20,119 --> 00:21:23,040 Speaker 1: hard landing. And we like being short here and waiting 413 00:21:23,040 --> 00:21:25,360 Speaker 1: for a better entry point. I know earlier in your 414 00:21:25,400 --> 00:21:29,359 Speaker 1: career you looked at the high yield space. That's distressed space. 415 00:21:30,240 --> 00:21:31,760 Speaker 1: Do I take some risk here and go into the 416 00:21:31,800 --> 00:21:35,520 Speaker 1: high old market? If so, where can I go in 417 00:21:35,600 --> 00:21:38,840 Speaker 1: high yield? We like shorter duration, high qualities. So Doublebees 418 00:21:38,880 --> 00:21:42,440 Speaker 1: that's a place that we think offers some value, some safety. 419 00:21:42,760 --> 00:21:45,400 Speaker 1: There's still some names out there that we think will 420 00:21:45,440 --> 00:21:49,040 Speaker 1: migrate up to investment grade, so there is total return potential. 421 00:21:50,080 --> 00:21:52,160 Speaker 1: You know, we had the Citrics deal that that came 422 00:21:52,560 --> 00:21:55,000 Speaker 1: price what's happened to that? So that the second lean 423 00:21:55,160 --> 00:21:57,800 Speaker 1: the priced at seventy nine cents, and we had some 424 00:21:57,840 --> 00:22:03,200 Speaker 1: banks unload off their balancy a leveraged buyout from last year. Now, 425 00:22:03,440 --> 00:22:06,200 Speaker 1: is that something that you guys traffick in that kind 426 00:22:06,200 --> 00:22:08,680 Speaker 1: of stuff? That really looks like the banks are just 427 00:22:08,760 --> 00:22:11,720 Speaker 1: kind of, you know, chucking in on the market wherever 428 00:22:11,800 --> 00:22:15,280 Speaker 1: it landed. You know, I think at a price, certain 429 00:22:15,320 --> 00:22:18,879 Speaker 1: investments look interesting coming at at an oide of twenty 430 00:22:18,880 --> 00:22:21,840 Speaker 1: one points. Pricing at seventy nine cents in the dollar. 431 00:22:22,560 --> 00:22:24,919 Speaker 1: The market certainly warmed up to it. It's it's up 432 00:22:24,960 --> 00:22:27,399 Speaker 1: about four points since it priced last week. All right. 433 00:22:27,640 --> 00:22:30,359 Speaker 1: By the way, I thought, I saw another interesting story 434 00:22:30,400 --> 00:22:33,359 Speaker 1: on the Bloomberg terminal over the weekend, and I wonder 435 00:22:34,240 --> 00:22:36,639 Speaker 1: if I could put it to a genuine fixed income investor. 436 00:22:36,720 --> 00:22:41,280 Speaker 1: Great to have you. Here. We see volatility just off 437 00:22:41,280 --> 00:22:45,760 Speaker 1: the charts right in rates in the Western world. That 438 00:22:46,600 --> 00:22:51,040 Speaker 1: moves are mind boggling, sixty seventy basis point moves in 439 00:22:51,040 --> 00:22:54,200 Speaker 1: a day on the two year, And the Bloomberg story 440 00:22:54,480 --> 00:22:58,600 Speaker 1: is that that's driving some fixed income investors to China 441 00:22:58,720 --> 00:23:03,320 Speaker 1: where they have almost volatility. Do you find that believable. 442 00:23:05,400 --> 00:23:08,000 Speaker 1: I mean, look, going from a DM market to an 443 00:23:08,000 --> 00:23:11,720 Speaker 1: EM market and in a more esoteric, you know, less 444 00:23:11,800 --> 00:23:14,720 Speaker 1: regulated environment, to me, does not make a whole lot 445 00:23:14,720 --> 00:23:18,080 Speaker 1: of sense. You know, we like transparency and being able 446 00:23:18,119 --> 00:23:21,920 Speaker 1: to dig through financial statements and have a more substantial 447 00:23:21,960 --> 00:23:26,040 Speaker 1: regulatory body. I think the volatility here in the US 448 00:23:26,200 --> 00:23:29,480 Speaker 1: needs to settle down. Once that settles down, we certainly 449 00:23:29,480 --> 00:23:32,720 Speaker 1: will have more interest and inflos into the asset class, 450 00:23:32,720 --> 00:23:36,639 Speaker 1: but we need volatility to come down. So what are 451 00:23:36,640 --> 00:23:38,840 Speaker 1: some of the sectors that you guys are doing work 452 00:23:38,840 --> 00:23:40,440 Speaker 1: in these days? And maybe conversely, what are some of 453 00:23:40,440 --> 00:23:44,120 Speaker 1: the sectors you just staying away from? Yeah, I think 454 00:23:44,920 --> 00:23:48,760 Speaker 1: to answer the latter first, I think CMBs and leverage 455 00:23:48,800 --> 00:23:52,119 Speaker 1: loans are parts of the market that we're most concerned about, 456 00:23:52,200 --> 00:23:56,040 Speaker 1: probably like a lot of our competitors. The rising rates, 457 00:23:56,080 --> 00:23:59,399 Speaker 1: the maturity walls that we mentioned before, those are certainly 458 00:23:59,440 --> 00:24:02,280 Speaker 1: areas of of concern. What do we like We like 459 00:24:02,920 --> 00:24:07,120 Speaker 1: We like short spread durations, so short maturities um particularly 460 00:24:07,200 --> 00:24:11,199 Speaker 1: in parts of more esoteric areas in the securitized market, 461 00:24:11,560 --> 00:24:14,760 Speaker 1: in my space and corporate credit. You know, I think 462 00:24:14,800 --> 00:24:17,640 Speaker 1: there's haves and have nots in the banking sector. So 463 00:24:17,680 --> 00:24:21,119 Speaker 1: that's high quality investment grade. UM. I think that there 464 00:24:21,119 --> 00:24:24,399 Speaker 1: are disclocations there. The proverbial may be thrown out. With 465 00:24:24,440 --> 00:24:28,760 Speaker 1: the bathwater certainly created some opportunities last month. We're expecting 466 00:24:28,840 --> 00:24:33,040 Speaker 1: more in the nearer term of these disclocations. I'm just 467 00:24:33,080 --> 00:24:37,960 Speaker 1: looking through historically the matchups between Penn State and the 468 00:24:38,040 --> 00:24:41,399 Speaker 1: Ohio State University. Last year it was a loss for 469 00:24:41,440 --> 00:24:44,359 Speaker 1: your lions. The year before that, it was a loss. 470 00:24:44,400 --> 00:24:46,840 Speaker 1: Before that, it was a loss. The year before that, 471 00:24:46,920 --> 00:24:49,399 Speaker 1: it was a loss. The year before that, you lost. 472 00:24:50,160 --> 00:24:53,600 Speaker 1: The year before that, we won. So when do you 473 00:24:53,640 --> 00:24:56,800 Speaker 1: think Penn State can come back and beat the Buckeyes. 474 00:24:57,440 --> 00:25:00,840 Speaker 1: So so, Matt, You're you're talking like a true cynic 475 00:25:00,920 --> 00:25:04,480 Speaker 1: in the fixed income world, loss after loss after loss. 476 00:25:04,560 --> 00:25:07,280 Speaker 1: I will tell you I visited Columbus, Ohio for the 477 00:25:07,320 --> 00:25:10,680 Speaker 1: first time in my life my career a month ago. 478 00:25:11,600 --> 00:25:14,160 Speaker 1: Nice city, but glad to be back on the East coast, 479 00:25:14,720 --> 00:25:18,240 Speaker 1: all right. Jason Greenblatt, Senior portfolio manager, American Century Investments, 480 00:25:18,480 --> 00:25:22,280 Speaker 1: with a zinger at the end, This is Bloomberg. You're 481 00:25:22,320 --> 00:25:26,440 Speaker 1: listening to the Team Cancer Line program Bloomberg Markets weekdays 482 00:25:26,440 --> 00:25:29,040 Speaker 1: at ten am, eas daring on Bloomberg dot Com, the 483 00:25:29,119 --> 00:25:31,840 Speaker 1: I Heart Radio app, and the Bloomberg Business app. We're 484 00:25:31,880 --> 00:25:35,960 Speaker 1: listening on demand wherever you get your podcast. I want 485 00:25:35,960 --> 00:25:38,480 Speaker 1: to get right to our next guest listening fascinating discussion 486 00:25:38,520 --> 00:25:42,840 Speaker 1: Alexander Isakoff. He is the Russia and CEE economist at 487 00:25:42,840 --> 00:25:48,520 Speaker 1: Bloomberg Economics based in the Middle East. Alexander, you are 488 00:25:48,560 --> 00:25:52,639 Speaker 1: out with a fascinating Bloomberg Economics column today story today 489 00:25:52,960 --> 00:25:56,760 Speaker 1: talking about President Putin's to prioritize his twenty twenty four 490 00:25:56,880 --> 00:26:00,920 Speaker 1: reelection over the war. How can me do that? Isn't 491 00:26:00,960 --> 00:26:04,520 Speaker 1: the war front and center for everything and super popular 492 00:26:04,720 --> 00:26:07,119 Speaker 1: at home? Yeah, so that seems like it would be 493 00:26:07,160 --> 00:26:11,040 Speaker 1: the center of his election re election platform exact. So 494 00:26:11,119 --> 00:26:17,320 Speaker 1: what are we seeing, Alexander H. We're seeing that Russian 495 00:26:17,359 --> 00:26:20,720 Speaker 1: government and Pussing were able to stabilize the economy in 496 00:26:20,760 --> 00:26:23,840 Speaker 1: the past months. So you're looking at an economy with 497 00:26:23,880 --> 00:26:28,399 Speaker 1: inflation rate of like three percent and unemployment which is 498 00:26:28,520 --> 00:26:32,280 Speaker 1: just a bit north of three percent. Our call is 499 00:26:32,320 --> 00:26:38,200 Speaker 1: that because the labor market is so tight, essentially a 500 00:26:38,280 --> 00:26:44,280 Speaker 1: Pussin face the dilemma whether to try and mobilize more people, 501 00:26:45,240 --> 00:26:49,800 Speaker 1: uh and take a cost of cost of this in 502 00:26:49,920 --> 00:26:54,680 Speaker 1: terms of public support mobilization, I'm never too popular with people, 503 00:26:55,520 --> 00:27:00,399 Speaker 1: or just try to model through until his elections XTA 504 00:27:00,440 --> 00:27:05,760 Speaker 1: in March and just postpone mobilization. So I think our 505 00:27:05,840 --> 00:27:09,640 Speaker 1: call is that you will prefer the letter. So when 506 00:27:09,640 --> 00:27:15,480 Speaker 1: you say mobilize, you mean draft people essentially force probably 507 00:27:15,800 --> 00:27:19,359 Speaker 1: you know, young able bodied men to go to the 508 00:27:19,359 --> 00:27:22,399 Speaker 1: front lines where they risk their lives. That's something that 509 00:27:22,760 --> 00:27:25,159 Speaker 1: Russia hasn't done yet. What are they doing, What are 510 00:27:25,160 --> 00:27:31,000 Speaker 1: they doing to you know, fill their ranks? Yeah, exactly. 511 00:27:31,840 --> 00:27:37,840 Speaker 1: So they've drafted around three hundred thousand people lost October. 512 00:27:38,680 --> 00:27:42,880 Speaker 1: But this means that in six months most of those 513 00:27:42,920 --> 00:27:46,480 Speaker 1: people will be back at home and Russia would need 514 00:27:46,520 --> 00:27:51,280 Speaker 1: to replenish its troops and it will not be easier. 515 00:27:51,480 --> 00:27:55,680 Speaker 1: So Russia needs to find a way which will be 516 00:27:57,280 --> 00:28:00,959 Speaker 1: less coversive but also very effective and finding another three 517 00:28:01,080 --> 00:28:05,399 Speaker 1: hundred thousand people which will be very very hard. So, Alexander, 518 00:28:05,840 --> 00:28:09,760 Speaker 1: to what extent, if any, are the Western sanctions having 519 00:28:09,760 --> 00:28:12,919 Speaker 1: a negative impact on the Russian economy just given some 520 00:28:12,960 --> 00:28:15,960 Speaker 1: of the data you just recited, doesn't seem to be 521 00:28:16,240 --> 00:28:23,920 Speaker 1: hurting that badly. Yeah, I mean, the thing is that 522 00:28:24,240 --> 00:28:27,160 Speaker 1: most of the numbers we are used to look at 523 00:28:27,840 --> 00:28:32,320 Speaker 1: don't capture the pain, the economic pain that Russia undergoes. 524 00:28:32,800 --> 00:28:35,679 Speaker 1: For example, if you look at imports, which were like 525 00:28:35,920 --> 00:28:41,000 Speaker 1: down twenty percent, they reflect the quality of consumption and 526 00:28:41,080 --> 00:28:45,880 Speaker 1: quality of investment in Russia. These both are declined pretty 527 00:28:45,920 --> 00:28:49,600 Speaker 1: substantially last year. But from the GDP perspective, any decline 528 00:28:49,600 --> 00:28:54,640 Speaker 1: in imports is actually neutral. Imports don't affect the GDP directly, 529 00:28:55,440 --> 00:28:59,400 Speaker 1: so it doesn't show the GDP numbers. But Alexander, from 530 00:28:59,400 --> 00:29:05,400 Speaker 1: an economic perspective perspective, given you your Russian background, do 531 00:29:05,760 --> 00:29:08,000 Speaker 1: the Russian people is a Russian government prepared or the 532 00:29:08,040 --> 00:29:10,720 Speaker 1: Russian people prepared to be what they are today, which 533 00:29:10,760 --> 00:29:15,000 Speaker 1: effectively sealed off most of the world from an economic perspective, 534 00:29:15,000 --> 00:29:18,720 Speaker 1: trading perspective, all the type of stuff. Are they prepared 535 00:29:18,760 --> 00:29:23,080 Speaker 1: to do this for the long term? I think dances 536 00:29:23,640 --> 00:29:28,680 Speaker 1: yes and no. If current continuitions, especially in the commodity markets, prevail, 537 00:29:29,240 --> 00:29:34,000 Speaker 1: if oil prices remain north of eighty percent, then I 538 00:29:34,040 --> 00:29:39,680 Speaker 1: think Russia can tellierate these functions a long time. But 539 00:29:40,320 --> 00:29:43,880 Speaker 1: on the other hand, because Russian international reserves have been frozen, 540 00:29:44,200 --> 00:29:47,200 Speaker 1: the country is very, very sensitive to any drop in 541 00:29:47,240 --> 00:29:51,040 Speaker 1: the oil prices. So if COMMITI prices remain high, the 542 00:29:51,080 --> 00:29:54,160 Speaker 1: country can't delierate that. But it's very fragile to any 543 00:29:54,640 --> 00:29:59,320 Speaker 1: downside shock for oil price and it must be very 544 00:29:59,360 --> 00:30:03,280 Speaker 1: fragile and lation situation because it's been relatively low. But 545 00:30:03,560 --> 00:30:08,520 Speaker 1: with this tight labor market, especially if they need to 546 00:30:08,600 --> 00:30:12,080 Speaker 1: draft more troops, that means wages are going to have 547 00:30:12,160 --> 00:30:17,400 Speaker 1: to rise, are they not? Yeah? All correct? And in fact, 548 00:30:17,880 --> 00:30:20,720 Speaker 1: we are looking at the data on the prestability of 549 00:30:20,760 --> 00:30:25,080 Speaker 1: private enterprises and the lost mobilization actually was pretty detrimental 550 00:30:25,160 --> 00:30:28,920 Speaker 1: to that. We see that the private sector margins are 551 00:30:28,920 --> 00:30:33,080 Speaker 1: shrinking and I think, yeah, the labor costs will definitely 552 00:30:34,120 --> 00:30:38,480 Speaker 1: reduce growth in the coming year. So, Alexander, just from 553 00:30:38,520 --> 00:30:41,200 Speaker 1: you know, the consumer data, it seems like the war 554 00:30:41,880 --> 00:30:45,800 Speaker 1: is having little to no impact on the consumers at 555 00:30:45,800 --> 00:30:51,600 Speaker 1: home as at the case and B does it feel 556 00:30:51,600 --> 00:30:57,760 Speaker 1: like that can go on going forward? I think so. 557 00:30:57,880 --> 00:31:01,320 Speaker 1: If you look at historically at the impacts of wars 558 00:31:01,400 --> 00:31:04,280 Speaker 1: on the labor markets, what they typically do is they 559 00:31:04,880 --> 00:31:09,640 Speaker 1: reduced the premiere for high skill labor, but actually increased 560 00:31:09,640 --> 00:31:14,400 Speaker 1: the wages for those who don't. We're not earning as much, 561 00:31:14,840 --> 00:31:19,760 Speaker 1: so Essentially, they are reducing the inequality and labor incomes. 562 00:31:20,520 --> 00:31:23,000 Speaker 1: This is what actually is happening in Russia. So you 563 00:31:23,080 --> 00:31:29,080 Speaker 1: don't see much wage growth in the high pay success 564 00:31:29,080 --> 00:31:33,479 Speaker 1: secious information technology or banking of finance, but actually you 565 00:31:33,520 --> 00:31:37,240 Speaker 1: see a lot of growth in the manual labor, manufacturing 566 00:31:37,280 --> 00:31:40,959 Speaker 1: and services, etcetera, etcetera. So what you see is that 567 00:31:41,040 --> 00:31:46,920 Speaker 1: consumption is being supported by growth in in those UH 568 00:31:47,480 --> 00:31:52,400 Speaker 1: kind of sectors where wages were low previously. All right, Alexander, 569 00:31:52,400 --> 00:31:55,680 Speaker 1: thank you very much, Really appreciate your reporting here. Alexander Isakov. 570 00:31:56,040 --> 00:32:00,880 Speaker 1: He is the Russian UH and CEE economist Blomberg Economics. 571 00:32:00,920 --> 00:32:03,600 Speaker 1: He's based in Dubai. We appreciate getting some of his 572 00:32:03,680 --> 00:32:07,040 Speaker 1: time there. You're listening to the tape cancer live program 573 00:32:07,080 --> 00:32:11,040 Speaker 1: Bloomberg Markets weekdays at ten am Eastern on Bloomberg Radio, 574 00:32:11,160 --> 00:32:13,880 Speaker 1: the tune in app, Bloomberg dot Com, and the Bloomberg 575 00:32:13,960 --> 00:32:17,040 Speaker 1: Business App. You can also listen live on Amazon Alexa 576 00:32:17,120 --> 00:32:20,400 Speaker 1: from our flagship New York station, Just say Alexa play 577 00:32:20,520 --> 00:32:25,640 Speaker 1: Bloomberg eleven thirty. Let's talk about Carvana. Yes, well, we 578 00:32:25,720 --> 00:32:29,200 Speaker 1: have my favorite headline writer in all of Bloomberg in 579 00:32:29,640 --> 00:32:33,720 Speaker 1: the studio, right now, Joel Levington writes these headlines that 580 00:32:33,760 --> 00:32:37,520 Speaker 1: get me to click no matter what. Even now I 581 00:32:37,600 --> 00:32:39,320 Speaker 1: see them and I'm like, I know this is one 582 00:32:39,360 --> 00:32:42,480 Speaker 1: of Joel's headlines. It's gonna be a bi credit report, 583 00:32:42,560 --> 00:32:46,840 Speaker 1: but I'm still clicking because it's like Ferrari eats Maserati's lunch, 584 00:32:47,480 --> 00:32:50,800 Speaker 1: you know. But so, Joel, thanks for coming to the studio. 585 00:32:51,600 --> 00:32:54,120 Speaker 1: You have a great story out about you know, barbarians 586 00:32:54,120 --> 00:32:56,200 Speaker 1: at the gate, except for they're not at the gate, 587 00:32:56,240 --> 00:33:00,920 Speaker 1: they're at the Carvanna. What do they have like vending 588 00:33:01,360 --> 00:33:05,800 Speaker 1: vending machines? Um? This story has been amazing on the 589 00:33:05,840 --> 00:33:09,880 Speaker 1: stock side, right because just climbed so high during the 590 00:33:09,880 --> 00:33:15,240 Speaker 1: pandemic and then came absolutely crashing down, paying stilly prices 591 00:33:15,320 --> 00:33:18,040 Speaker 1: for used vehicles and then apparently not selling them for 592 00:33:18,480 --> 00:33:23,120 Speaker 1: um similar amounts. What's the story on the debt side? Yeah, 593 00:33:23,200 --> 00:33:25,960 Speaker 1: well it's been equally crazy. You know, it's just a 594 00:33:26,000 --> 00:33:28,920 Speaker 1: few years ago that they were issuing bonds with you know, 595 00:33:28,920 --> 00:33:30,880 Speaker 1: like a five handle on it or a little over 596 00:33:30,960 --> 00:33:33,960 Speaker 1: five percent. Now those bonds are more like forty five percent. 597 00:33:34,360 --> 00:33:38,080 Speaker 1: So it's it's been a dramatic turn, and unfortunately for 598 00:33:38,080 --> 00:33:40,680 Speaker 1: for stakeholders. It hasn't been good a good run. So 599 00:33:40,680 --> 00:33:45,440 Speaker 1: where I mean there's they've not, they've not. They're just 600 00:33:45,480 --> 00:33:48,560 Speaker 1: proposing a debt exchange, right, right, So this is Carvana. 601 00:33:48,800 --> 00:33:52,720 Speaker 1: They sell these cars market they don't or they don't 602 00:33:52,720 --> 00:33:54,920 Speaker 1: market kind of dried up. Now they've got problems with 603 00:33:54,960 --> 00:33:58,000 Speaker 1: their equity, but they really got problems with their debt. 604 00:33:58,040 --> 00:34:00,600 Speaker 1: They did too much debt going into this rough patch. 605 00:34:00,680 --> 00:34:02,360 Speaker 1: You're totally right, Paul, And this is one of those 606 00:34:02,400 --> 00:34:04,920 Speaker 1: cases where it's the balance sheet that's driving the equity 607 00:34:04,960 --> 00:34:08,520 Speaker 1: story as opposed to the opposite. In this case, they've 608 00:34:08,560 --> 00:34:10,719 Speaker 1: levered up. They have eight billion dollars worth of debt. 609 00:34:10,960 --> 00:34:14,359 Speaker 1: They're not supposed to generate positive ebada until twenty twenty five, 610 00:34:14,840 --> 00:34:17,320 Speaker 1: So you know, like, how do you make that lending 611 00:34:17,400 --> 00:34:20,279 Speaker 1: on no cash flow? I mean, you were lending on 612 00:34:20,360 --> 00:34:23,520 Speaker 1: just the big equity cushion underneath, like a lot of 613 00:34:23,520 --> 00:34:25,800 Speaker 1: tech companies will do. You know, yeah, exactly over the 614 00:34:25,880 --> 00:34:28,280 Speaker 1: last couple of years, you could pick out any startup 615 00:34:28,280 --> 00:34:31,279 Speaker 1: tech company or in my area, Tesla where it was 616 00:34:31,280 --> 00:34:34,120 Speaker 1: issuing bonds also where the five percent handle on it, 617 00:34:34,360 --> 00:34:36,640 Speaker 1: and people love the equity story, and they'll tell you like, hey, 618 00:34:36,680 --> 00:34:39,640 Speaker 1: there's billions of billions of dollars a cushion as opposed 619 00:34:39,680 --> 00:34:42,600 Speaker 1: to you know, like, what are the fundamentals and where 620 00:34:42,640 --> 00:34:45,160 Speaker 1: can this company go? In the case of Carvana, it's 621 00:34:45,160 --> 00:34:47,920 Speaker 1: in an industry where you have very thin margins and 622 00:34:48,000 --> 00:34:51,279 Speaker 1: high capital intensity, and it really can't handle a lot 623 00:34:51,280 --> 00:34:53,520 Speaker 1: of volatility. So when you put a lot of debt 624 00:34:53,560 --> 00:34:55,719 Speaker 1: on that, you're kind of setting the stage for problems. 625 00:34:55,760 --> 00:34:58,320 Speaker 1: And unfortunately they've run into it. All right, the stock 626 00:34:58,520 --> 00:35:02,440 Speaker 1: on all thirteen twenty twenty one, three hundred and sixty 627 00:35:02,480 --> 00:35:06,600 Speaker 1: dollars stocks training below nine? Isn't that guy? And so 628 00:35:06,840 --> 00:35:09,359 Speaker 1: I can see. I can see buying debt when you've 629 00:35:09,360 --> 00:35:11,360 Speaker 1: got all this equity underneath me, even though I wouldn't 630 00:35:11,360 --> 00:35:13,359 Speaker 1: do because I only lend on cash flows. That's how 631 00:35:13,360 --> 00:35:15,200 Speaker 1: I was. I was taught at the Chase Front and 632 00:35:15,200 --> 00:35:19,920 Speaker 1: Bank Credit training class nineteen ninety one. Um, that's how 633 00:35:19,960 --> 00:35:22,840 Speaker 1: you do it. But now what happens to these debthholders? 634 00:35:22,920 --> 00:35:25,120 Speaker 1: What are they trying to do here? From credit to 635 00:35:25,160 --> 00:35:28,359 Speaker 1: star that's the way it goes bossweek Okay, yes, well 636 00:35:29,120 --> 00:35:33,239 Speaker 1: well really what what what Carvana is doing is trying 637 00:35:33,280 --> 00:35:36,200 Speaker 1: to set the stage four there's going to be an exchange, 638 00:35:36,280 --> 00:35:38,799 Speaker 1: or they're trying to make an exchange happen. Now this 639 00:35:38,880 --> 00:35:40,840 Speaker 1: is if they do this, it's really the first of 640 00:35:41,080 --> 00:35:43,120 Speaker 1: many steps that they would have to do to change 641 00:35:43,160 --> 00:35:46,480 Speaker 1: their balance sheet because really here you're trying to exchange 642 00:35:46,880 --> 00:35:49,240 Speaker 1: about a billion three of debt for a new billion 643 00:35:49,239 --> 00:35:53,560 Speaker 1: dollars offering, and essentially you're saving about three hundred million 644 00:35:53,640 --> 00:35:56,720 Speaker 1: worth of debt and fifteen to twenty million of interest 645 00:35:56,760 --> 00:35:59,840 Speaker 1: expense for a company that has as much debt and 646 00:36:00,160 --> 00:36:02,480 Speaker 1: so little cash flow as they do. This is just 647 00:36:02,520 --> 00:36:04,839 Speaker 1: a beginning. It's really just a start to you know, 648 00:36:04,880 --> 00:36:07,680 Speaker 1: like get the barbarians, to get the Apollos and the 649 00:36:07,719 --> 00:36:10,680 Speaker 1: Arias out there to come up with a deal where 650 00:36:10,760 --> 00:36:13,440 Speaker 1: they can restructure the balance sheet, but do it in 651 00:36:13,440 --> 00:36:16,360 Speaker 1: a way where the Garcia family can we make in control. 652 00:36:16,400 --> 00:36:19,560 Speaker 1: And that's really why family to remain in control. They 653 00:36:19,560 --> 00:36:22,719 Speaker 1: want to remain in control. Well, as a neutral independent party, 654 00:36:22,760 --> 00:36:24,560 Speaker 1: I would say you would not want them in control 655 00:36:24,600 --> 00:36:27,200 Speaker 1: because they have made so many bad choices along the way, 656 00:36:27,280 --> 00:36:31,040 Speaker 1: including debt financing a two billion dollars acquisition of Edessa 657 00:36:31,200 --> 00:36:34,440 Speaker 1: at a time where where the industry was starting to 658 00:36:34,480 --> 00:36:37,960 Speaker 1: go down. They've missed earnings expectations for like nine of 659 00:36:38,000 --> 00:36:40,719 Speaker 1: the past ten quarters. Really, what you need to do 660 00:36:40,960 --> 00:36:45,040 Speaker 1: is strip out costs, reslate the balance sheet to have 661 00:36:45,080 --> 00:36:47,680 Speaker 1: a clean balance sheet. We've estimated that it should be 662 00:36:47,680 --> 00:36:49,560 Speaker 1: about ninety four percent of the debt needs to get 663 00:36:49,560 --> 00:36:52,799 Speaker 1: wiped out. Oh so really this is hit. I mean 664 00:36:52,880 --> 00:36:58,560 Speaker 1: your point is that debt holders may be happier in bankruptcy. Yeah, yeah, exactly, Matt, 665 00:36:58,600 --> 00:37:00,719 Speaker 1: because if you came out with a clean company and 666 00:37:00,840 --> 00:37:03,520 Speaker 1: a story of hey, let's get back to basics, let's 667 00:37:03,520 --> 00:37:07,400 Speaker 1: reduce our thirteen percent difference in SG and A, and 668 00:37:07,520 --> 00:37:10,960 Speaker 1: here's a path to growth, that stock price can certainly 669 00:37:11,000 --> 00:37:14,080 Speaker 1: turn around. And our expectation is that if it was 670 00:37:14,600 --> 00:37:17,839 Speaker 1: a clean balanty like bond holders might get seventy five 671 00:37:17,880 --> 00:37:20,640 Speaker 1: cents back on the dollar relatives to where bonds are, 672 00:37:20,640 --> 00:37:22,520 Speaker 1: which is kind of more in the forty to fifty zone. 673 00:37:22,920 --> 00:37:25,799 Speaker 1: So let me ask. I look through your bank up 674 00:37:25,880 --> 00:37:27,719 Speaker 1: stories that you work on, and you cover the car 675 00:37:27,800 --> 00:37:33,239 Speaker 1: industry very closely. Obviously, one that catches my eye is 676 00:37:33,960 --> 00:37:40,040 Speaker 1: a concern I think that we have across markets, which 677 00:37:40,120 --> 00:37:46,760 Speaker 1: is about refinancing. I think the point that you're making 678 00:37:46,800 --> 00:37:51,280 Speaker 1: here is Ford needs to refinance a ton of debt. 679 00:37:51,400 --> 00:37:55,160 Speaker 1: Right as rates rise, Ford credit may face five hundred 680 00:37:55,160 --> 00:37:57,680 Speaker 1: and seventy million dollars headwin and refinancing debt is the headline. 681 00:37:57,719 --> 00:37:59,400 Speaker 1: As rates rise, this is going to be a problem 682 00:37:59,400 --> 00:38:00,799 Speaker 1: for a lot of the ending arms are the big 683 00:38:00,800 --> 00:38:03,239 Speaker 1: carmakers I think so, you know, and it becomes a 684 00:38:03,320 --> 00:38:06,640 Speaker 1: game mat of where do you reduce the pain? Right 685 00:38:07,200 --> 00:38:09,279 Speaker 1: when you have a captive finance company like a Forward 686 00:38:09,400 --> 00:38:11,479 Speaker 1: or a GM, you can do that in the form 687 00:38:11,520 --> 00:38:14,600 Speaker 1: of incentives on the you know, MSRP on on the 688 00:38:14,640 --> 00:38:16,839 Speaker 1: price that you're paying for a car, so you could 689 00:38:16,840 --> 00:38:19,920 Speaker 1: reduce that as a way to making things more affordable. 690 00:38:20,239 --> 00:38:22,680 Speaker 1: But really that's the issue is affordability. It's forty eight 691 00:38:22,719 --> 00:38:25,520 Speaker 1: thousand dollars for your average car, and when the average 692 00:38:25,560 --> 00:38:28,200 Speaker 1: American makes seventy thousand dollars a year, you can't afford 693 00:38:28,200 --> 00:38:30,560 Speaker 1: a car. So how do you make that work and 694 00:38:30,640 --> 00:38:33,719 Speaker 1: keep the volume in your plant going? And it's either 695 00:38:33,760 --> 00:38:37,080 Speaker 1: going to be through the finance company, in the finance 696 00:38:37,120 --> 00:38:39,400 Speaker 1: company eating the interest rates on it, or it's going 697 00:38:39,400 --> 00:38:41,960 Speaker 1: to be through pricing on the cars. I hope it's 698 00:38:41,960 --> 00:38:45,000 Speaker 1: through the finance company eating interest rates. Why just because 699 00:38:45,320 --> 00:38:46,480 Speaker 1: I don't want to pay it. I don't want to 700 00:38:46,520 --> 00:38:49,000 Speaker 1: pay that much. Our prices ever kind of come down 701 00:38:49,239 --> 00:38:51,600 Speaker 1: in the card and Street or they resetting these new 702 00:38:51,680 --> 00:38:54,520 Speaker 1: highs because I mean, they've incredible inflation. I'm not sure 703 00:38:54,560 --> 00:38:56,640 Speaker 1: with the numbers, but over the last three or four years, 704 00:38:56,719 --> 00:39:00,600 Speaker 1: ridiculous increases in price. The monthly nut is just impossible 705 00:39:00,640 --> 00:39:03,200 Speaker 1: to cover for the average shoe, right, It's ridiculous. And 706 00:39:03,239 --> 00:39:05,879 Speaker 1: I think that's you know, it's it's a great question, Paul, 707 00:39:05,920 --> 00:39:07,920 Speaker 1: and I think it if you even if you asked internally, 708 00:39:07,960 --> 00:39:09,879 Speaker 1: I think our equity analysts might have a different view 709 00:39:09,880 --> 00:39:12,960 Speaker 1: than I do. I personally believe that pricing has to 710 00:39:13,000 --> 00:39:15,440 Speaker 1: come down. I think you're seeing that with Tesla, right 711 00:39:16,520 --> 00:39:18,000 Speaker 1: if you look at any of their models are down 712 00:39:18,280 --> 00:39:22,080 Speaker 1: twenty to twenty this year, and a Model three now 713 00:39:22,160 --> 00:39:24,560 Speaker 1: is about thirty six thousand dollars or thirty seven thousand dollars. 714 00:39:24,560 --> 00:39:26,240 Speaker 1: So if you're saying, hey, do I want the Model 715 00:39:26,280 --> 00:39:30,560 Speaker 1: three or the Honda CRV, like, that's a battle, and 716 00:39:30,719 --> 00:39:32,920 Speaker 1: that's where Tesla is going to be picking up share. 717 00:39:32,960 --> 00:39:34,840 Speaker 1: And I think others are going to eventually have to 718 00:39:34,880 --> 00:39:40,960 Speaker 1: follow because economically, you know, they're they're they're very high 719 00:39:41,000 --> 00:39:44,120 Speaker 1: in terms of cost. I mean the four has followed 720 00:39:44,160 --> 00:39:47,440 Speaker 1: with them with the Mustang Maki in terms of price cuts, 721 00:39:47,480 --> 00:39:50,640 Speaker 1: but not yet with the F one fifty Lightning that 722 00:39:50,760 --> 00:39:54,040 Speaker 1: you drove. What was the sticker price four large ninety 723 00:39:54,080 --> 00:39:56,319 Speaker 1: four grand for a pickup truck, right, I mean, and 724 00:39:56,360 --> 00:39:58,520 Speaker 1: that's what I mean, so honestly, I mean, I'm not 725 00:39:58,560 --> 00:40:03,200 Speaker 1: even joking. I mean, the American pickup truck buyers already 726 00:40:03,520 --> 00:40:07,439 Speaker 1: used to laying out forty fifty sixty grand. I'm sure 727 00:40:07,520 --> 00:40:10,080 Speaker 1: that was you just can you do ninety I don't 728 00:40:10,080 --> 00:40:12,800 Speaker 1: know four thousand. I don't know what demand destruction is 729 00:40:12,840 --> 00:40:14,840 Speaker 1: going to look like there. And that's in addition to 730 00:40:14,840 --> 00:40:16,759 Speaker 1: all the software that they're trying to sell behind it, 731 00:40:16,920 --> 00:40:19,480 Speaker 1: so you know, like there's a recurring revenue stream that 732 00:40:19,480 --> 00:40:22,640 Speaker 1: they're trying to attach to the electric car. So you know, 733 00:40:22,680 --> 00:40:25,000 Speaker 1: like something has to give, and I would think this 734 00:40:25,080 --> 00:40:27,120 Speaker 1: is a case where the companies are gonna wind up 735 00:40:27,160 --> 00:40:29,640 Speaker 1: having to give. And they're starting to see it, right, 736 00:40:29,680 --> 00:40:34,640 Speaker 1: you see, GM, Ford, Mercedes, they're all announcing headcut plans 737 00:40:34,680 --> 00:40:36,960 Speaker 1: over the next years because they recognize, like you have 738 00:40:37,000 --> 00:40:39,040 Speaker 1: to change your cost structure to be in a world 739 00:40:39,360 --> 00:40:42,560 Speaker 1: that can't afford these crazy, you know, high prices. Does 740 00:40:42,600 --> 00:40:46,680 Speaker 1: Lucid survive? Does Rivian survive? Do these ev startups make it? 741 00:40:47,200 --> 00:40:50,719 Speaker 1: I think they survive because you find over and over again, 742 00:40:50,719 --> 00:40:52,840 Speaker 1: and maybe McLaren is a great example of it. You 743 00:40:52,880 --> 00:40:56,680 Speaker 1: find these companies that find people that are willing to 744 00:40:56,680 --> 00:40:58,759 Speaker 1: take a bet on a brand name, Investors in the 745 00:40:58,760 --> 00:41:01,719 Speaker 1: Middle East, and in the case of Lucid, it might 746 00:41:01,760 --> 00:41:03,440 Speaker 1: be an investor in the Middle East because they already 747 00:41:03,480 --> 00:41:05,759 Speaker 1: old and sixty percent of the company in the case 748 00:41:05,800 --> 00:41:07,839 Speaker 1: of Review, and they have enough flexibility that they can 749 00:41:07,960 --> 00:41:10,400 Speaker 1: last at least a year or two before before you 750 00:41:10,440 --> 00:41:12,960 Speaker 1: have to worry about that good stuff as always Joe Levington, 751 00:41:13,080 --> 00:41:16,880 Speaker 1: he is a director credit research Bloomberg Intelligence. He covers 752 00:41:16,880 --> 00:41:18,840 Speaker 1: and his real day job he covers some autos and 753 00:41:18,880 --> 00:41:21,759 Speaker 1: some industrial credits and things like that. The management is 754 00:41:21,800 --> 00:41:24,319 Speaker 1: just a ruse. He actually does a real job and 755 00:41:24,320 --> 00:41:27,720 Speaker 1: he's a real analyst. But appreciate having come into studio. 756 00:41:27,920 --> 00:41:31,040 Speaker 1: You're listening to the Take Cancer our live program Bloomberg 757 00:41:31,120 --> 00:41:34,600 Speaker 1: Markets weekdays at ten am Eastern on Bloomberg Radio, the 758 00:41:34,719 --> 00:41:37,959 Speaker 1: tune in app, Bloomberg dot Com and the Bloomberg Business App. 759 00:41:38,000 --> 00:41:40,839 Speaker 1: You can also listen live on Amazon Alexa from our 760 00:41:40,840 --> 00:41:46,040 Speaker 1: flagship New York station, Jo Say Alexa, play Bloomberg eleven thirty. 761 00:41:46,440 --> 00:41:49,439 Speaker 1: Let's talk real estate. Now, let's talk commercial real estate. 762 00:41:49,480 --> 00:41:51,480 Speaker 1: And we can do that with our next guest, Christine 763 00:41:51,560 --> 00:41:56,200 Speaker 1: Mastandrea Coo of white Stone Reet. That's a publicly traded 764 00:41:56,280 --> 00:41:58,560 Speaker 1: reet WSR as a ticker you can load into the 765 00:41:58,560 --> 00:42:02,320 Speaker 1: Bloomberg terminal about four D thirty million dollars marketap. Christine, 766 00:42:02,520 --> 00:42:04,640 Speaker 1: thanks so much for joining us live in the Bloomberg 767 00:42:04,640 --> 00:42:07,319 Speaker 1: Interactive Broker Studio. So post pandemic, you get a gold 768 00:42:07,360 --> 00:42:10,239 Speaker 1: star for showing up live, not phoning it in. Talk 769 00:42:10,280 --> 00:42:12,000 Speaker 1: to us about Whitestone. What type of real estate do 770 00:42:12,040 --> 00:42:15,000 Speaker 1: you guys specialize in? Oh, I specialize in smaller center 771 00:42:15,080 --> 00:42:18,520 Speaker 1: is basically focusing on community and convenience for our retail 772 00:42:18,880 --> 00:42:22,520 Speaker 1: So you so okay? So not a technical term, kind 773 00:42:22,520 --> 00:42:25,319 Speaker 1: of like a strip mall type thing similar and all right, 774 00:42:25,360 --> 00:42:29,640 Speaker 1: So Amazon is a thing out there. I've actually become 775 00:42:29,760 --> 00:42:32,840 Speaker 1: very very depth on Amazon since the pandemic in the lockdown, 776 00:42:33,120 --> 00:42:34,919 Speaker 1: but I can't and I've heard this is not good 777 00:42:34,960 --> 00:42:37,400 Speaker 1: for bricks and more to retail or retail. How do 778 00:42:37,480 --> 00:42:39,880 Speaker 1: you guys approach that and deal with that? So we 779 00:42:40,160 --> 00:42:43,120 Speaker 1: saw that coming a long time back, especially with a 780 00:42:43,280 --> 00:42:46,160 Speaker 1: change of people in the workforce and time crunch consumers. 781 00:42:47,160 --> 00:42:49,560 Speaker 1: Amazon just solved a problem for people. So we focus 782 00:42:49,640 --> 00:42:52,920 Speaker 1: primarily on services. Okay, so I go to see one 783 00:42:52,960 --> 00:42:54,960 Speaker 1: of your properties and it's not gonna be necessarily selling 784 00:42:55,320 --> 00:42:58,520 Speaker 1: goods that competing against Amazon. It's a services, whether it's 785 00:42:58,560 --> 00:43:04,040 Speaker 1: a nail salon or something along those. So primarily around food, grocery, 786 00:43:04,719 --> 00:43:08,920 Speaker 1: services such as health, wellness, medical. In addition to that, 787 00:43:09,040 --> 00:43:12,880 Speaker 1: there would be you know, your financial services, ups, logistics 788 00:43:12,960 --> 00:43:15,200 Speaker 1: and so what kind of markets attract you guys? And 789 00:43:15,280 --> 00:43:17,320 Speaker 1: I think I know the answer, but go ahead. So 790 00:43:17,440 --> 00:43:20,640 Speaker 1: we focused on the southern markets primarily. Yeah, what's going 791 00:43:20,719 --> 00:43:23,120 Speaker 1: on is the rest of this country. Everybody's abandoning us. 792 00:43:23,920 --> 00:43:26,040 Speaker 1: Go ahead, So well, they came from Chicago, it is 793 00:43:26,120 --> 00:43:30,080 Speaker 1: happening there, and so focused on fast growing markets. So 794 00:43:30,200 --> 00:43:33,759 Speaker 1: we started in Dallas, Houston, San Antonio, then moved into 795 00:43:33,760 --> 00:43:36,279 Speaker 1: Austin and also in the Phoenix market, Scottsdale all the 796 00:43:36,320 --> 00:43:39,279 Speaker 1: way down to Mesic over channel all winners certainly post 797 00:43:39,320 --> 00:43:41,719 Speaker 1: pandemic winners, right those are you just listed to the 798 00:43:41,920 --> 00:43:44,000 Speaker 1: names of the cities. So when you go into a market, 799 00:43:44,040 --> 00:43:45,879 Speaker 1: what do you I mean, do you look for population growth? 800 00:43:45,880 --> 00:43:48,759 Speaker 1: Does that kind of a good job growth, job job growth, 801 00:43:48,880 --> 00:43:53,080 Speaker 1: job growth? Yeah, okayly mobile, really looking for good strong 802 00:43:53,160 --> 00:43:57,160 Speaker 1: secondary school systems as well. Okay, So I'm guessing you 803 00:43:57,239 --> 00:44:00,880 Speaker 1: guys are like most folks in real estate interest rates sensitive. 804 00:44:00,920 --> 00:44:03,960 Speaker 1: Talk to us about the market today versus you know, 805 00:44:04,080 --> 00:44:06,799 Speaker 1: a year or two ago. Yeah, that's great deal of change, 806 00:44:06,800 --> 00:44:09,400 Speaker 1: as you can imagine. But this provides the opportunity of 807 00:44:09,440 --> 00:44:12,520 Speaker 1: people know how to operate real estate versus just financial engineering. 808 00:44:12,760 --> 00:44:14,520 Speaker 1: So who were like, who were some of the people 809 00:44:14,560 --> 00:44:17,279 Speaker 1: maybe you were competing against, you know, when rates were 810 00:44:17,360 --> 00:44:21,440 Speaker 1: low versus kind of today, Like what happened to Who 811 00:44:21,480 --> 00:44:23,279 Speaker 1: were those people and what happened to them? Well, in 812 00:44:23,360 --> 00:44:26,759 Speaker 1: most cases passive investors that just bought the properties. In 813 00:44:26,880 --> 00:44:30,280 Speaker 1: our case, we have smaller centers, so it'd be local owners. 814 00:44:30,719 --> 00:44:33,960 Speaker 1: But passive owners versus active owners like we are. So 815 00:44:34,080 --> 00:44:35,799 Speaker 1: they're getting squeezed out of the market. It gives us 816 00:44:35,800 --> 00:44:38,840 Speaker 1: an opportunity. So we read a lot about or at 817 00:44:38,880 --> 00:44:40,040 Speaker 1: least year in New York. You know, some of the 818 00:44:40,200 --> 00:44:44,080 Speaker 1: big private equity funds getting into real estate. What's been 819 00:44:44,120 --> 00:44:46,640 Speaker 1: your experience do you run into them at all? If so, 820 00:44:47,200 --> 00:44:49,680 Speaker 1: are they how do you compete? They don't compete in 821 00:44:49,760 --> 00:44:52,239 Speaker 1: our space. That's why we stayed in smaller centers. So okay, 822 00:44:52,400 --> 00:44:53,800 Speaker 1: might be a little bit more of a hands on 823 00:44:53,920 --> 00:44:56,600 Speaker 1: operation than a larger center, but it's benefit is right. 824 00:44:56,719 --> 00:45:01,640 Speaker 1: So when you go look for new property, what do 825 00:45:01,640 --> 00:45:03,560 Speaker 1: you guys look for? What does your team look for? Oh? 826 00:45:03,760 --> 00:45:05,879 Speaker 1: In most cases and sticking us so we use place 827 00:45:06,000 --> 00:45:08,360 Speaker 1: or AI and we also use as ray as digital 828 00:45:08,400 --> 00:45:11,759 Speaker 1: platforms to understand the communities. So we really dive into 829 00:45:11,960 --> 00:45:14,640 Speaker 1: our users and who's the end end user and that 830 00:45:14,760 --> 00:45:18,080 Speaker 1: allows us to find to find the most attractive locations. 831 00:45:18,480 --> 00:45:21,840 Speaker 1: So what type of I mean, do you like to 832 00:45:21,880 --> 00:45:24,640 Speaker 1: have one or do your shopping center a retail space 833 00:45:24,680 --> 00:45:27,400 Speaker 1: attend of like a big kind of anchor tenant and 834 00:45:27,440 --> 00:45:29,440 Speaker 1: then you build around it. How do you like that? 835 00:45:29,960 --> 00:45:31,680 Speaker 1: So I don't like taking a lot of risk in 836 00:45:31,760 --> 00:45:35,680 Speaker 1: bake anchors. I mean there's always a difficulty if you 837 00:45:35,800 --> 00:45:38,440 Speaker 1: lose a big anchor to have to re fit somebody 838 00:45:38,520 --> 00:45:41,080 Speaker 1: moving into that space. So we have a tendency to 839 00:45:41,200 --> 00:45:43,600 Speaker 1: stay in the smaller shout space. So we found that 840 00:45:43,760 --> 00:45:46,200 Speaker 1: twenty five hundred square feet to about three thousand square 841 00:45:46,239 --> 00:45:49,520 Speaker 1: feet is about the most interchangeable use with the widest 842 00:45:49,960 --> 00:45:53,280 Speaker 1: amount of users. So who do you tend to compete 843 00:45:53,280 --> 00:45:56,920 Speaker 1: against a lot? Like even now? Is it other rates? 844 00:45:57,239 --> 00:46:00,880 Speaker 1: Is it just local privately owned real estate development companies? 845 00:46:00,920 --> 00:46:04,280 Speaker 1: Who are some of your competitors? So mostly local, privately owned, 846 00:46:04,400 --> 00:46:06,399 Speaker 1: although we're starting to see some other reeds move into 847 00:46:06,400 --> 00:46:09,319 Speaker 1: our space. So if it typically if I go up 848 00:46:09,320 --> 00:46:13,279 Speaker 1: against a private, local person, presumably that person has something 849 00:46:13,360 --> 00:46:16,520 Speaker 1: maybe I don't, such as local knowledge. I mean, how 850 00:46:16,560 --> 00:46:19,279 Speaker 1: do you guys build that? Do you buy like said, 851 00:46:19,280 --> 00:46:21,279 Speaker 1: I want to develop Phoenix? Do you just send your 852 00:46:21,320 --> 00:46:24,480 Speaker 1: team into Phoenix or do you maybe buy a team 853 00:46:24,560 --> 00:46:26,840 Speaker 1: that's already in Phoenix that knows how know? We usually 854 00:46:26,880 --> 00:46:30,359 Speaker 1: build our teams in our markets. So and very much 855 00:46:30,680 --> 00:46:34,960 Speaker 1: focusing on location again, using as much analysis as possible 856 00:46:35,000 --> 00:46:37,880 Speaker 1: that we can that we're provided with our platforms to understand. 857 00:46:38,600 --> 00:46:41,360 Speaker 1: So what was your business like during the pandemic, Like 858 00:46:41,640 --> 00:46:44,560 Speaker 1: how did it just impact you guys? Oh, we did great. 859 00:46:44,719 --> 00:46:48,040 Speaker 1: I think it's counterintuitive to a lot of the national tenants. 860 00:46:48,360 --> 00:46:50,920 Speaker 1: In our case, we had the highest recovery rates and 861 00:46:51,120 --> 00:46:54,239 Speaker 1: also the highest collection rates in the industry. So what 862 00:46:54,640 --> 00:46:56,520 Speaker 1: why is that? I mean, I just I would think 863 00:46:56,760 --> 00:47:00,040 Speaker 1: like just Main Street USA, Talent I live in, and 864 00:47:00,719 --> 00:47:03,759 Speaker 1: a lot of vacancies, a lot of company businesses went 865 00:47:03,800 --> 00:47:05,719 Speaker 1: out of business. So it was almost every third or 866 00:47:05,760 --> 00:47:08,640 Speaker 1: fourth or fifth store was out of business. Now that's 867 00:47:09,239 --> 00:47:13,600 Speaker 1: literally Main Street USA, not at a shopping center. Did 868 00:47:13,680 --> 00:47:16,520 Speaker 1: you experience that and if so, did you get people 869 00:47:16,560 --> 00:47:19,120 Speaker 1: back in there? No? I found, especially in our markets, 870 00:47:19,200 --> 00:47:22,320 Speaker 1: people were pretty active, and in addition to that we 871 00:47:22,480 --> 00:47:26,080 Speaker 1: had we were pretty I'm always amazed at you know, 872 00:47:26,080 --> 00:47:29,160 Speaker 1: American business and especially growing entrepreneurs. They're the ones that 873 00:47:29,280 --> 00:47:32,359 Speaker 1: flex the first. They caught the opportunity with a lot 874 00:47:32,400 --> 00:47:34,800 Speaker 1: of customer switching at that point, especially at the nationals 875 00:47:34,880 --> 00:47:37,480 Speaker 1: when they're closed because they're dictated by you know, their 876 00:47:37,560 --> 00:47:40,239 Speaker 1: home office. Right. The other thing that I found really 877 00:47:40,320 --> 00:47:43,920 Speaker 1: interesting through this whole thing is kind of the resilience 878 00:47:43,960 --> 00:47:46,680 Speaker 1: of our portfolio and also the resilience of the American 879 00:47:46,840 --> 00:47:49,279 Speaker 1: entrepreneur yep as We've talked about that a lot on 880 00:47:49,360 --> 00:47:51,400 Speaker 1: the show. But if you go down to Electionton Avenue 881 00:47:51,480 --> 00:47:54,600 Speaker 1: right there, a lot of empty retail between fifty eighth 882 00:47:54,640 --> 00:47:57,000 Speaker 1: and fifty nine Street. It was once it was before 883 00:47:57,040 --> 00:48:00,399 Speaker 1: the pandemic. It was full Victoria's Secret and some other 884 00:48:00,640 --> 00:48:03,239 Speaker 1: box door or something I can remember. Now there's just 885 00:48:03,560 --> 00:48:06,959 Speaker 1: a chocolate store that survived the pandemic. People bought chocolate 886 00:48:07,000 --> 00:48:09,320 Speaker 1: during a pandemic in the lockdown, and a bank just 887 00:48:09,440 --> 00:48:11,800 Speaker 1: opened up on the corner. But you see town cities 888 00:48:11,800 --> 00:48:13,279 Speaker 1: like this, you're probably like, boy, I'm glad I'm not 889 00:48:13,360 --> 00:48:17,000 Speaker 1: in big cities. Right. Yeah, we've avoided the big central 890 00:48:17,040 --> 00:48:20,480 Speaker 1: business districts. Again, pretty tough. The rental rates, they are 891 00:48:20,560 --> 00:48:24,120 Speaker 1: pretty difficult to size space, the ability to flex to 892 00:48:24,200 --> 00:48:26,879 Speaker 1: the user. Most of those are goods. It's a little 893 00:48:26,920 --> 00:48:29,160 Speaker 1: difficult to put in a service user in those type 894 00:48:29,160 --> 00:48:33,279 Speaker 1: of locations as well. So yeah, interesting, all right, Last question, 895 00:48:33,320 --> 00:48:36,040 Speaker 1: what's what's the growth outlook for you guys over the 896 00:48:36,120 --> 00:48:38,560 Speaker 1: next one to two years. Oh, I think we're well possessioned. 897 00:48:38,600 --> 00:48:40,880 Speaker 1: I mean already in our markets, were over ninety percent 898 00:48:40,920 --> 00:48:44,040 Speaker 1: occupantsy in all of our markets, and I think there's 899 00:48:44,080 --> 00:48:45,880 Speaker 1: not a lot of retail being built because of what 900 00:48:46,000 --> 00:48:48,560 Speaker 1: happened in the past. So things look good to come. 901 00:48:48,719 --> 00:48:50,800 Speaker 1: Oh interesting, good stuff, all right, Christine, thank you. So 902 00:48:50,960 --> 00:48:53,920 Speaker 1: much for joining a Christine at Most Andrea Coo of 903 00:48:54,000 --> 00:48:57,200 Speaker 1: white Stone reet again, that is a publicly traded company. 904 00:48:57,360 --> 00:49:02,280 Speaker 1: WSR is the ticker or the retail space, the commercial 905 00:49:02,360 --> 00:49:05,040 Speaker 1: retail space. Some weakness out there and a lot of 906 00:49:05,120 --> 00:49:07,200 Speaker 1: big markets, and we certainly see it here in New 907 00:49:07,280 --> 00:49:09,279 Speaker 1: York City, certainly in Midtown, but a lot of the 908 00:49:09,360 --> 00:49:12,480 Speaker 1: country doing very well and good for them. So it's 909 00:49:12,520 --> 00:49:14,720 Speaker 1: good to see some good growth out there in retail. 910 00:49:14,719 --> 00:49:17,239 Speaker 1: The consumer remains a very strong consumer has a job 911 00:49:17,320 --> 00:49:20,600 Speaker 1: that's good for all things retail. Thanks for listening to 912 00:49:20,640 --> 00:49:24,160 Speaker 1: the Bloomberg Markets podcasts. You can subscribe and listen to 913 00:49:24,239 --> 00:49:28,359 Speaker 1: interviews at Apple Podcasts or whatever podcast platform you prefer. 914 00:49:28,760 --> 00:49:32,040 Speaker 1: I'm Matt Miller. I'm on Twitter at Matt Miller nineteen 915 00:49:32,160 --> 00:49:34,799 Speaker 1: seventy three and on Fall Sweeney I'm on Twitter at 916 00:49:34,880 --> 00:49:37,680 Speaker 1: pt Sweeney. Before the podcast, you can always catch us 917 00:49:37,760 --> 00:49:39,160 Speaker 1: worldwide at Bloomberg Radio.