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 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,720 Speaker 1: at Bloomberg dot com slash podcast. Well, we're waiting news 7 00:00:22,760 --> 00:00:26,520 Speaker 1: on a potential deal in the media space. Amazon reportedly 8 00:00:26,600 --> 00:00:30,120 Speaker 1: is and talks to acquire the film studio MGM. The 9 00:00:30,120 --> 00:00:32,599 Speaker 1: reported price tag is up to uh perhaps as high 10 00:00:32,600 --> 00:00:36,640 Speaker 1: as nine billion dollars. Let's break down this potential deal 11 00:00:36,880 --> 00:00:40,040 Speaker 1: with Mark Douglas. He's the CEO of Steelhouse. Mark. Thanks 12 00:00:40,080 --> 00:00:41,919 Speaker 1: so much for joining us here. You know, I look 13 00:00:41,960 --> 00:00:45,080 Speaker 1: at Amazon and the gajillion dollar you know, almost a 14 00:00:45,080 --> 00:00:48,480 Speaker 1: two trillion dollar market cap, got tremendous amounts of cash 15 00:00:48,520 --> 00:00:51,280 Speaker 1: on the balance sheet. Why are they You know, you 16 00:00:51,280 --> 00:00:53,560 Speaker 1: can look at MGM. It's a great, great film studio, 17 00:00:53,560 --> 00:00:56,800 Speaker 1: tremendous history, lots of great content, but it's kind of 18 00:00:56,840 --> 00:00:59,240 Speaker 1: small in the scheme of things. If if Amazon is 19 00:00:59,240 --> 00:01:03,040 Speaker 1: really serious about the content business and maybe really compete 20 00:01:03,040 --> 00:01:05,160 Speaker 1: against Netflix and Disney, why don't they go out and 21 00:01:05,240 --> 00:01:09,080 Speaker 1: buy something big like maybe even a Netflix or Disney 22 00:01:09,120 --> 00:01:11,479 Speaker 1: at the very least something like a Viacom CBS. Why 23 00:01:11,480 --> 00:01:13,760 Speaker 1: are they just kind of dipping their toe here with 24 00:01:13,959 --> 00:01:17,160 Speaker 1: a nine billion dollar deal for MGM. Yeah, So I 25 00:01:17,200 --> 00:01:21,200 Speaker 1: think that's the question that everyone has. And Amazon is 26 00:01:21,280 --> 00:01:24,679 Speaker 1: in the streaming business with Amazon Prime. But I think 27 00:01:24,720 --> 00:01:27,800 Speaker 1: if you were to asked, you know, virtually anyone really 28 00:01:28,560 --> 00:01:32,560 Speaker 1: um to name a streaming service, you would be hard 29 00:01:32,600 --> 00:01:35,600 Speaker 1: pressed to anyone to actually name Prime as as one 30 00:01:35,600 --> 00:01:38,440 Speaker 1: of those services. Because people get Prime to get their 31 00:01:38,680 --> 00:01:42,560 Speaker 1: packages delivered for free, not in order to watch movie 32 00:01:42,600 --> 00:01:46,119 Speaker 1: content and other content. And so that's the lemmon um 33 00:01:46,160 --> 00:01:49,720 Speaker 1: Amazon has. And and they're really not um investing in 34 00:01:49,760 --> 00:01:54,160 Speaker 1: any huge way with this deal. I think most people expected, 35 00:01:54,240 --> 00:01:57,880 Speaker 1: but there aren't you know, excited about it. The Prime 36 00:01:58,000 --> 00:02:00,240 Speaker 1: layout is even worse than the Netflix layout out in 37 00:02:00,320 --> 00:02:04,400 Speaker 1: terms of, you know, the user interface. I mean, both 38 00:02:04,400 --> 00:02:06,840 Speaker 1: are pretty bad. I don't know why they can't match Apple, 39 00:02:06,960 --> 00:02:12,639 Speaker 1: But um, what would be the best way then? Uh, 40 00:02:12,919 --> 00:02:14,959 Speaker 1: do you think an acquisition is the best way for 41 00:02:15,040 --> 00:02:17,880 Speaker 1: Amazon to do better in that space? Do you think, um, 42 00:02:18,120 --> 00:02:20,560 Speaker 1: they is there a specific target that you have in 43 00:02:20,600 --> 00:02:24,040 Speaker 1: mind mark. Yeah, well, I think the deal that Discovery did, 44 00:02:24,080 --> 00:02:27,080 Speaker 1: what's the deal to do because you know, HBO Max 45 00:02:27,639 --> 00:02:31,240 Speaker 1: is if you want, yeah, if you want to give viewers, 46 00:02:31,720 --> 00:02:35,400 Speaker 1: it starts with original content. And even that's not enough. 47 00:02:35,520 --> 00:02:39,200 Speaker 1: Apple spends more money on original content than anyone and 48 00:02:39,200 --> 00:02:41,800 Speaker 1: and and you know, name a show that you love 49 00:02:42,440 --> 00:02:44,960 Speaker 1: on on Apple TV Plus. So I think you know, 50 00:02:45,040 --> 00:02:48,600 Speaker 1: both these companies have, you know, huge amounts of money. 51 00:02:49,120 --> 00:02:52,080 Speaker 1: They both spend. Apple is at least spending in the 52 00:02:52,200 --> 00:02:55,120 Speaker 1: area that they're hoping finally breaks through and get them 53 00:02:55,120 --> 00:02:59,000 Speaker 1: that big hits that that you know, essentially gets all 54 00:02:59,000 --> 00:03:01,560 Speaker 1: the viewers to get side. It was like a handmade 55 00:03:01,600 --> 00:03:04,720 Speaker 1: tale or in the past, the Game of Thrones and 56 00:03:04,880 --> 00:03:07,480 Speaker 1: things like that. But Amazon is not even doing that. 57 00:03:07,560 --> 00:03:09,600 Speaker 1: So I think, can I just say ted Lasso is 58 00:03:09,639 --> 00:03:12,920 Speaker 1: really underrated. I just finished season one based on your 59 00:03:12,960 --> 00:03:15,880 Speaker 1: recommendation there, managed I just don't think people know how 60 00:03:16,120 --> 00:03:21,040 Speaker 1: funny it is. It's smart, but it's also kind of heartwarming. UM. 61 00:03:21,320 --> 00:03:25,160 Speaker 1: I mean, it's not like a VP or a Silicon Valley, um. 62 00:03:25,200 --> 00:03:27,800 Speaker 1: But it's really really good. They did they just didn't 63 00:03:27,800 --> 00:03:29,840 Speaker 1: They don't get the recognition mark for that, do they? 64 00:03:30,000 --> 00:03:33,080 Speaker 1: Or for Like for All Mankind also was quite good. 65 00:03:33,080 --> 00:03:37,000 Speaker 1: That just doesn't get the credit. Yeah, well, I mean 66 00:03:37,280 --> 00:03:40,760 Speaker 1: I agree in some sense, but you know, I'm I'm 67 00:03:40,760 --> 00:03:45,480 Speaker 1: watching Startup one nextli you know, costs a lot less money. Um, someone, 68 00:03:45,520 --> 00:03:47,000 Speaker 1: I don't think a lot of people know about the 69 00:03:47,080 --> 00:03:51,560 Speaker 1: great show. So Netflix cranked out these shows, yeah literally 70 00:03:51,640 --> 00:03:56,120 Speaker 1: five weeks that people love, and they have incredible technology 71 00:03:56,160 --> 00:03:59,400 Speaker 1: to figure out what their users want to see. And meanwhile, 72 00:03:59,520 --> 00:04:01,800 Speaker 1: Apple has got a fire hose of money they just 73 00:04:01,880 --> 00:04:05,240 Speaker 1: bring around Hollywood and yeah, and and they're just not 74 00:04:05,360 --> 00:04:08,040 Speaker 1: getting the same result. And the Amazon is now doing 75 00:04:08,080 --> 00:04:09,839 Speaker 1: the same and they're not going to get the same 76 00:04:09,880 --> 00:04:13,440 Speaker 1: with dot Well. Tera La Chapelle Bloomberg Opinion Columns is 77 00:04:13,440 --> 00:04:16,320 Speaker 1: out with a great another great column today looking at 78 00:04:16,400 --> 00:04:18,760 Speaker 1: this potential deal and saying, hey, you know, you think 79 00:04:18,800 --> 00:04:21,800 Speaker 1: about the Whole Foods business that didn't wasn't really a 80 00:04:21,800 --> 00:04:26,320 Speaker 1: game changer for for Amazon or even the industry. Um, 81 00:04:26,400 --> 00:04:28,200 Speaker 1: And she's kind of saying, hey, this deal kind of 82 00:04:28,360 --> 00:04:30,560 Speaker 1: feels like a Whole Foods where they're not really all in. 83 00:04:31,080 --> 00:04:34,760 Speaker 1: But boy, you look market some of these other companies, Um, 84 00:04:35,520 --> 00:04:37,840 Speaker 1: you know what is this Vicom, CBS do what does 85 00:04:37,880 --> 00:04:40,839 Speaker 1: the Fox do. I mean, we thought you just wonder 86 00:04:40,880 --> 00:04:44,040 Speaker 1: with you know, market caps that are seven billion dollars 87 00:04:44,040 --> 00:04:47,160 Speaker 1: that they just don't seem like they're competitive enough in 88 00:04:47,240 --> 00:04:50,120 Speaker 1: terms of scale and kind of where the world's going again. 89 00:04:50,160 --> 00:04:52,240 Speaker 1: You look, you mentioned the the A, T and T 90 00:04:52,400 --> 00:04:56,200 Speaker 1: and Discovery deal. Yeah, well, I mean it starts with vision. 91 00:04:56,440 --> 00:04:59,640 Speaker 1: If you ask anyone in Amazon what is this deal 92 00:04:59,720 --> 00:05:02,640 Speaker 1: going accomplished? I don't think they're going to give you 93 00:05:02,680 --> 00:05:05,640 Speaker 1: a visionary or exciting result. But if you ask the 94 00:05:05,839 --> 00:05:09,600 Speaker 1: head of Discovery what he what he's going to accomplish? 95 00:05:09,640 --> 00:05:12,200 Speaker 1: What his vision? I think he knows and he's willing 96 00:05:12,200 --> 00:05:14,480 Speaker 1: to put his solids on the table and the effort 97 00:05:14,560 --> 00:05:16,800 Speaker 1: to accomplish it. And so if you want to win 98 00:05:16,839 --> 00:05:21,920 Speaker 1: in Hollywood, all the biggest players, Netflix, Disney with Disney Plus, 99 00:05:22,240 --> 00:05:25,000 Speaker 1: now Discovery, what they're doing with HBO, Max and the 100 00:05:25,040 --> 00:05:28,080 Speaker 1: other assets they bought, they all share one common threat, 101 00:05:28,400 --> 00:05:31,680 Speaker 1: you know, a thread, which is they have visions, they 102 00:05:31,720 --> 00:05:34,760 Speaker 1: have original content, and they have huge libraries about the 103 00:05:34,800 --> 00:05:36,719 Speaker 1: content to go with it. And if you want to 104 00:05:36,720 --> 00:05:38,719 Speaker 1: be a real player, you need all of those ships 105 00:05:38,800 --> 00:05:42,480 Speaker 1: on the table. Does the sports aspect help at Amazon? 106 00:05:42,560 --> 00:05:44,480 Speaker 1: They're getting Are they getting Thursday night football? I think 107 00:05:44,520 --> 00:05:46,400 Speaker 1: they are getting Thursday at football in Prime? Right? Does 108 00:05:46,440 --> 00:05:50,200 Speaker 1: that help a lot or um? I mean it forces 109 00:05:50,279 --> 00:05:52,159 Speaker 1: me to go use the you know, they go to 110 00:05:52,200 --> 00:05:54,599 Speaker 1: the website of that content I want to watch. So 111 00:05:54,640 --> 00:05:57,640 Speaker 1: in that sense it does help, But I don't see 112 00:05:57,880 --> 00:06:02,039 Speaker 1: anyone can say that immeasurably increases put print of Amazon 113 00:06:02,360 --> 00:06:05,919 Speaker 1: or anyone is leaving watching you know that that that 114 00:06:06,120 --> 00:06:08,960 Speaker 1: NFL content and is now you know, basically going to 115 00:06:09,040 --> 00:06:12,640 Speaker 1: consume more hours on Prime Menu? Are so? So it helps, 116 00:06:12,680 --> 00:06:16,159 Speaker 1: it helps, you know, in terms of some awareness, but 117 00:06:16,240 --> 00:06:18,000 Speaker 1: I don't think it really moves them up the food 118 00:06:18,040 --> 00:06:21,159 Speaker 1: chain in terms of their position in the strands market. Hey, Mark, 119 00:06:21,240 --> 00:06:24,080 Speaker 1: you you know as Steelhouse. You guys work with a 120 00:06:24,080 --> 00:06:27,400 Speaker 1: lot of advertisers, a lot of brands. What are the advertisers? 121 00:06:27,400 --> 00:06:30,880 Speaker 1: What is Madison Avenue saying about all those consolidation in 122 00:06:30,920 --> 00:06:33,880 Speaker 1: the media spaces a good thing? Is it something to 123 00:06:33,920 --> 00:06:35,880 Speaker 1: be concerned about? What are you hearing? Yeah? I think 124 00:06:35,960 --> 00:06:38,640 Speaker 1: I mean remember for the advertisers, what they want is 125 00:06:38,800 --> 00:06:42,800 Speaker 1: good at supported content. Right, So you have streaming subscription 126 00:06:42,839 --> 00:06:46,640 Speaker 1: supported content that's Netflix, and then you have ad supported content, 127 00:06:46,720 --> 00:06:49,480 Speaker 1: which is what Discovery and other a number of other 128 00:06:50,120 --> 00:06:53,320 Speaker 1: companies are doing. And so those advertisers, I think they 129 00:06:53,400 --> 00:06:56,680 Speaker 1: like these deals, you know, because there's a lot of 130 00:06:56,720 --> 00:06:59,440 Speaker 1: revenue has to be generating that keeps these studios and 131 00:06:59,480 --> 00:07:02,919 Speaker 1: everything firmly seeded and ad supported content, which the brands 132 00:07:02,960 --> 00:07:08,520 Speaker 1: need in order to reach them doing. Baseball is dying. 133 00:07:09,480 --> 00:07:12,160 Speaker 1: I wonder you're not a huge fan, right, but I 134 00:07:12,200 --> 00:07:14,720 Speaker 1: wonder what you think about the Major League Baseball if 135 00:07:14,720 --> 00:07:17,160 Speaker 1: you just ask quickly, because it's like every game is 136 00:07:17,160 --> 00:07:20,120 Speaker 1: a no hitter and um, the average is down to 137 00:07:20,200 --> 00:07:24,120 Speaker 1: two thirties or something. Um, is is this in your 138 00:07:25,440 --> 00:07:28,960 Speaker 1: in your window at all? Here? Mark, I wouldn't say 139 00:07:29,000 --> 00:07:31,280 Speaker 1: I'm not a huge fan. I actually loved the game 140 00:07:31,680 --> 00:07:34,600 Speaker 1: and love a really good game. So I think what 141 00:07:34,800 --> 00:07:37,560 Speaker 1: you're articulating is it's getting harder and harder to find. 142 00:07:39,040 --> 00:07:41,800 Speaker 1: And so I think, you know, baseball is always going 143 00:07:41,840 --> 00:07:45,040 Speaker 1: to be part of Americana, and I think the league 144 00:07:45,160 --> 00:07:49,360 Speaker 1: just has to, you know, really, um, make bringing the 145 00:07:49,360 --> 00:07:53,000 Speaker 1: players and and and have the rules and everything. Give 146 00:07:53,080 --> 00:07:55,880 Speaker 1: us short, exciting games and they will get all the 147 00:07:55,960 --> 00:07:59,360 Speaker 1: viewers they need, all right, Mark, Thanks very much, Mark Douglas. 148 00:07:59,760 --> 00:08:02,119 Speaker 1: They are he is the CEO of Steelhouse. I always 149 00:08:02,120 --> 00:08:03,760 Speaker 1: bring up baseball with him because I know he grew 150 00:08:03,840 --> 00:08:08,280 Speaker 1: up right across the street from Yankee Stadium and became 151 00:08:08,280 --> 00:08:13,880 Speaker 1: a Mets, became a Mets fan. All right, this is Bloomberg. 152 00:08:17,600 --> 00:08:20,520 Speaker 1: Let's bring in Mark roberts Is Um Paul was saying, 153 00:08:20,520 --> 00:08:23,679 Speaker 1: he's a co founder and owner of eleven eleven hotel 154 00:08:23,760 --> 00:08:28,400 Speaker 1: and residences in Miami, and Mark, let me first ask 155 00:08:28,440 --> 00:08:30,440 Speaker 1: you a question. We've talked to a lot of hotel 156 00:08:31,040 --> 00:08:35,280 Speaker 1: and restaurant owners and operators throughout UM the Southeast to 157 00:08:35,559 --> 00:08:38,120 Speaker 1: have told us it's very difficult to hire people right 158 00:08:38,200 --> 00:08:42,439 Speaker 1: now if you had the same experience. Yes, we've had 159 00:08:42,480 --> 00:08:45,120 Speaker 1: a little little issue with the hiring at the beginning, 160 00:08:45,800 --> 00:08:48,319 Speaker 1: but because our strong brand, our strong name, and our 161 00:08:48,360 --> 00:08:51,880 Speaker 1: recognition and people understand when they worked for us to 162 00:08:52,040 --> 00:08:54,800 Speaker 1: be very lucrative, We've had a lot of people showing 163 00:08:54,840 --> 00:08:56,920 Speaker 1: up in the last couple of weeks and we're gonna 164 00:08:56,960 --> 00:09:00,200 Speaker 1: have a full staff probably another week or two, will 165 00:09:00,200 --> 00:09:02,640 Speaker 1: be fully staffed. With the first Yeah, I have to 166 00:09:02,720 --> 00:09:05,480 Speaker 1: hire them, then you have to some culture, and then 167 00:09:05,520 --> 00:09:07,520 Speaker 1: you have to train them. But will have a full 168 00:09:07,760 --> 00:09:11,360 Speaker 1: staff ready and rare and to go very shortly. So 169 00:09:11,520 --> 00:09:13,960 Speaker 1: market there's I know you have here. An eleven eleven 170 00:09:14,440 --> 00:09:17,600 Speaker 1: brand in Miami talked us about the Miami market. It's 171 00:09:17,600 --> 00:09:19,840 Speaker 1: just gotta be one of the hottest markets in the country. 172 00:09:20,080 --> 00:09:22,439 Speaker 1: Talk to us about how it's kind of evolved over 173 00:09:22,480 --> 00:09:25,840 Speaker 1: the course of the last fourteen months. Sure, well eleven 174 00:09:25,920 --> 00:09:28,160 Speaker 1: Hotel and Residents of course is leading the charge, but 175 00:09:28,320 --> 00:09:33,079 Speaker 1: we sold out basically almost uh million dollars in real 176 00:09:33,200 --> 00:09:36,880 Speaker 1: estate just under a month. And Miami has become such 177 00:09:36,920 --> 00:09:40,319 Speaker 1: a hot market for a bunch of reasons. I think 178 00:09:40,360 --> 00:09:44,960 Speaker 1: people first started moving to Miami because of the tax situation, 179 00:09:45,080 --> 00:09:47,720 Speaker 1: get always from high pastes. I think they also like 180 00:09:47,760 --> 00:09:52,560 Speaker 1: the political atmosphere, pro business uh. And then they get 181 00:09:52,600 --> 00:09:56,160 Speaker 1: to Miami and they understand the quality of light is unbelievable. 182 00:09:56,200 --> 00:09:58,720 Speaker 1: All of a sudden, they're boating around the water, the 183 00:09:58,760 --> 00:10:02,560 Speaker 1: weather has been fantastic. Stick All they see is uh people, 184 00:10:02,720 --> 00:10:05,600 Speaker 1: you know, feeling good, working out. And then they get 185 00:10:05,640 --> 00:10:08,280 Speaker 1: there and they start seeing that business is booming. The 186 00:10:08,320 --> 00:10:11,280 Speaker 1: restaurant like almost every restaurant you can name that there's 187 00:10:11,400 --> 00:10:15,800 Speaker 1: lines to get in, there's you know, everybody's selling the condo, 188 00:10:15,920 --> 00:10:18,600 Speaker 1: U interest selling things, are renting houses are selling it's 189 00:10:18,880 --> 00:10:22,320 Speaker 1: crazy prices on multiples of what they want for just 190 00:10:22,400 --> 00:10:24,680 Speaker 1: a year, a year and a half ago. And I 191 00:10:24,760 --> 00:10:28,640 Speaker 1: really believe that New York and these other areas like 192 00:10:28,679 --> 00:10:32,400 Speaker 1: San Francisco, l A, Chicago, the major stages are losing 193 00:10:32,400 --> 00:10:35,160 Speaker 1: all these people. Uh, people are coming to Miami and 194 00:10:35,240 --> 00:10:38,520 Speaker 1: understand of Miami's much more than just the tourist place. Now, 195 00:10:38,559 --> 00:10:41,439 Speaker 1: Miami's coming the most major city there is probably in 196 00:10:41,480 --> 00:10:44,240 Speaker 1: the world, and it's really grown up to be what's 197 00:10:44,240 --> 00:10:46,600 Speaker 1: gonna be the epicenter of business. I mean, all the 198 00:10:46,679 --> 00:10:49,800 Speaker 1: text that's coming in there now is just incredible. And 199 00:10:49,800 --> 00:10:52,360 Speaker 1: and you know it's restaurants as restaurants. See all the 200 00:10:52,400 --> 00:10:56,240 Speaker 1: other restaurants are being successful. Um for instance, like Carbone 201 00:10:56,280 --> 00:10:59,359 Speaker 1: came down from New York. They're opening up twenty new restaurants. 202 00:11:00,360 --> 00:11:02,719 Speaker 1: All it's like a stampede. It's like it's like a 203 00:11:03,240 --> 00:11:08,160 Speaker 1: herd mentality, and everybody sees the numbers, and the numbers 204 00:11:08,160 --> 00:11:11,040 Speaker 1: per square foot is just incredible, and I do everybody 205 00:11:11,280 --> 00:11:14,160 Speaker 1: is shattering records. And and you know, as you know, 206 00:11:14,440 --> 00:11:16,800 Speaker 1: the restaurant guys follow the restaurant guys, So there's an 207 00:11:16,840 --> 00:11:20,560 Speaker 1: influx of top top top restaurants. I'm surely been called 208 00:11:20,559 --> 00:11:23,439 Speaker 1: a col in every center of the universe. So so 209 00:11:23,480 --> 00:11:26,760 Speaker 1: what have you done too? Because it's not a hotel 210 00:11:26,760 --> 00:11:29,280 Speaker 1: in residents just the beginning for eleven and eleven, you've 211 00:11:29,280 --> 00:11:32,360 Speaker 1: got UM one of the most famous, I guess nightclub 212 00:11:32,480 --> 00:11:36,280 Speaker 1: spots in the US. Everybody wants to go and see. 213 00:11:36,320 --> 00:11:40,720 Speaker 1: You've got shows with DJ's rappers. But you've got burlesque, 214 00:11:40,679 --> 00:11:44,880 Speaker 1: You've got trapeeze acts. You've got also other UM products 215 00:11:44,920 --> 00:11:49,079 Speaker 1: like your own vodka brand. How how are you branching 216 00:11:49,120 --> 00:11:53,480 Speaker 1: out into into this economy. Well, we're doing is we've 217 00:11:53,480 --> 00:11:57,599 Speaker 1: become such a strong name recognition amongst really almost to 218 00:11:57,800 --> 00:12:02,559 Speaker 1: all sectors. Uh, the lifestyle, you live your life, live 219 00:12:02,600 --> 00:12:05,200 Speaker 1: a better life. So what we're doing is we've now 220 00:12:05,320 --> 00:12:09,080 Speaker 1: form to separate I P Division Intellectual Property Division, and 221 00:12:09,120 --> 00:12:11,040 Speaker 1: we're stamping that up and we're going to create a 222 00:12:11,120 --> 00:12:13,679 Speaker 1: multi multibillion dollar brand. How are we going to do that? 223 00:12:14,240 --> 00:12:16,640 Speaker 1: Eleven hotel and residences. When we open them up all 224 00:12:16,640 --> 00:12:20,640 Speaker 1: over the world, we're gonna be Uh, we're branding. The 225 00:12:20,720 --> 00:12:23,640 Speaker 1: vodka is unbelievable. We just launched it this year and 226 00:12:23,720 --> 00:12:26,839 Speaker 1: Nicky Simptons is my partner's wife is a CEO, is 227 00:12:26,840 --> 00:12:30,840 Speaker 1: doing a tremendous job, and we literally and all over Florida. 228 00:12:30,880 --> 00:12:34,200 Speaker 1: We're dominating Florida and we're gonna be taking that vodka 229 00:12:34,320 --> 00:12:37,920 Speaker 1: national soon. And you know, for first year, I think 230 00:12:37,920 --> 00:12:40,600 Speaker 1: we're breaking rectors there everybody. The vodka, by the way, 231 00:12:40,600 --> 00:12:44,080 Speaker 1: won the Double Gold Award in San Francisco last month. 232 00:12:44,360 --> 00:12:46,840 Speaker 1: It's the top award for a spirit. So the taste 233 00:12:46,880 --> 00:12:49,560 Speaker 1: is unbelievable. So you always have to have the quality. 234 00:12:49,880 --> 00:12:52,840 Speaker 1: People know that eleven stands for quality. When you're dealing 235 00:12:52,840 --> 00:12:56,920 Speaker 1: with eleven, you're gonna first class, first not top quality. 236 00:12:57,440 --> 00:13:00,160 Speaker 1: It's could be the best, and that's really what will 237 00:13:00,160 --> 00:13:03,120 Speaker 1: relate to it. And of course all ips are built 238 00:13:03,160 --> 00:13:06,280 Speaker 1: on the brand and brand awareness, which we have incredible 239 00:13:06,440 --> 00:13:09,480 Speaker 1: brand awareness and per square foot, but the most profitable 240 00:13:09,920 --> 00:13:12,160 Speaker 1: nightclub in the world by far, I don't think anybody's 241 00:13:12,160 --> 00:13:14,760 Speaker 1: even close for only thirteen thousand square feet, even though 242 00:13:14,800 --> 00:13:18,200 Speaker 1: people think it's huge. Um, but like you said, the 243 00:13:18,280 --> 00:13:20,800 Speaker 1: lines have been around the block. I mean we literally 244 00:13:20,800 --> 00:13:23,360 Speaker 1: have five hundred to a thousand people waiting to get 245 00:13:23,360 --> 00:13:30,160 Speaker 1: in now uh charges sometimes and people paying no problem. Well, no, no, 246 00:13:30,240 --> 00:13:32,679 Speaker 1: we've we've believe it or not, we've been having like 247 00:13:32,679 --> 00:13:36,640 Speaker 1: two hundred covered charges just because we've been having great acts, 248 00:13:36,640 --> 00:13:38,400 Speaker 1: the aerial acts, and we would spend a lot of 249 00:13:38,400 --> 00:13:42,880 Speaker 1: money to make sure the experience inside is people leave 250 00:13:42,880 --> 00:13:45,280 Speaker 1: there thinking they've got value. So we spent a lot 251 00:13:45,280 --> 00:13:48,320 Speaker 1: of money, you know, putting on the shows and making 252 00:13:48,440 --> 00:13:52,600 Speaker 1: sure we have a great service and staff feel very professional. 253 00:13:53,320 --> 00:13:57,640 Speaker 1: It looks easy, but it it takes a lot of work. Work. Hey, Mark, 254 00:13:57,920 --> 00:13:59,839 Speaker 1: thank you so much for joining us. We really appreciate you. 255 00:13:59,840 --> 00:14:01,880 Speaker 1: Take in the time. Mark Roberts, co founder and owner 256 00:14:02,160 --> 00:14:05,920 Speaker 1: of an eleven eleven hotel and residents in Miami. Uh, 257 00:14:06,000 --> 00:14:09,440 Speaker 1: certainly the Miami has been just an incredibly hot market, 258 00:14:09,880 --> 00:14:15,000 Speaker 1: really accelerated during this pandemic. Well, it seems like over 259 00:14:15,000 --> 00:14:18,160 Speaker 1: the last several days inflation concerns in the market place 260 00:14:18,280 --> 00:14:20,720 Speaker 1: are waning just a little bit. I'm looking at the 261 00:14:20,720 --> 00:14:24,760 Speaker 1: ten year here here one point five seven seven percent. 262 00:14:24,880 --> 00:14:28,600 Speaker 1: That's off a couple of basis basis points today. Uh, 263 00:14:28,680 --> 00:14:31,120 Speaker 1: let's see how things are going in the municipal bond market, 264 00:14:31,120 --> 00:14:33,520 Speaker 1: which which has been one of one of the hottest 265 00:14:33,520 --> 00:14:36,640 Speaker 1: markets out there. Michael Jay's chief US Public Policy and 266 00:14:36,760 --> 00:14:39,800 Speaker 1: municipal strategies from Morgan Stanley joins us. Michael talked to 267 00:14:39,880 --> 00:14:43,800 Speaker 1: us about the bond market has had such a great run, Um, 268 00:14:43,840 --> 00:14:46,520 Speaker 1: there are some inflation fears out there in the market place, 269 00:14:46,840 --> 00:14:48,960 Speaker 1: maybe ebbing a little bit over the past several days. 270 00:14:49,400 --> 00:14:51,760 Speaker 1: How's the municipal bond market reacted to that? Yeah, I 271 00:14:51,760 --> 00:14:55,080 Speaker 1: think the municipal bond market is not really reflecting any 272 00:14:55,360 --> 00:14:58,280 Speaker 1: meaningful concern about inflation at the moment. Actually think the 273 00:14:58,280 --> 00:15:02,880 Speaker 1: place to start here is at credit quality in the market, unabashedly, 274 00:15:03,440 --> 00:15:06,440 Speaker 1: year over years, substantially improved and probably will continue to 275 00:15:06,520 --> 00:15:10,840 Speaker 1: improve meaningfully. But the challenge now is that a lot 276 00:15:10,880 --> 00:15:12,760 Speaker 1: of that good news is already in the price. You've 277 00:15:12,760 --> 00:15:16,360 Speaker 1: got saluations no matter how you slice it, UH yield 278 00:15:16,480 --> 00:15:22,640 Speaker 1: ratios versus treasuries, quality spreads, all kind of pre COVID tights, 279 00:15:22,680 --> 00:15:24,960 Speaker 1: and so what that means is that if you've got 280 00:15:24,960 --> 00:15:28,040 Speaker 1: good fundamentals and they're going to continue to improve, but 281 00:15:28,480 --> 00:15:31,560 Speaker 1: relative valuations are pretty tight, it's probably something outside the 282 00:15:31,640 --> 00:15:34,400 Speaker 1: municipal bond market that would have to make things cheapen up. 283 00:15:34,920 --> 00:15:36,560 Speaker 1: And this is why we say we don't think there 284 00:15:36,560 --> 00:15:39,360 Speaker 1: really particularly price for inflation. If you've got some meaningful 285 00:15:39,640 --> 00:15:43,000 Speaker 1: um upside inflation or the said had to start talking 286 00:15:43,000 --> 00:15:46,680 Speaker 1: about tapering sooner. Our concern would be in that scenario 287 00:15:46,760 --> 00:15:49,200 Speaker 1: that you could get a bear steepening of the treasury curve. 288 00:15:49,480 --> 00:15:53,160 Speaker 1: Mini market historically is not done well in those situations. 289 00:15:53,160 --> 00:15:56,680 Speaker 1: It tends to lead to outflows. And because it's a 290 00:15:56,760 --> 00:16:00,680 Speaker 1: long only market UM dominated by long only sters, you 291 00:16:00,720 --> 00:16:02,800 Speaker 1: tend to get cheapness on the back end of that. 292 00:16:03,120 --> 00:16:05,200 Speaker 1: So in some ways we think the real wistom uni 293 00:16:05,240 --> 00:16:07,360 Speaker 1: market is some of these inflation prints. Even though it 294 00:16:07,360 --> 00:16:09,720 Speaker 1: wouldn't tell you much about credit quality. It wouldn't tell 295 00:16:09,760 --> 00:16:14,480 Speaker 1: you that credit quality is getting any worse. Sorry, my 296 00:16:14,520 --> 00:16:18,480 Speaker 1: microphone is off. Okay, so credit quality um. And we 297 00:16:18,560 --> 00:16:22,200 Speaker 1: kind of all braced ourselves for a difficult time here 298 00:16:22,480 --> 00:16:25,440 Speaker 1: pre pandemic or during the pandemic, and it hasn't happened. 299 00:16:25,840 --> 00:16:29,080 Speaker 1: Do you expect any changes throughout the next quarter or two? 300 00:16:30,720 --> 00:16:33,040 Speaker 1: Not particularly, And I mean you know I traveled the 301 00:16:33,040 --> 00:16:36,160 Speaker 1: same journey you did. We put out an initial estimate 302 00:16:36,200 --> 00:16:39,800 Speaker 1: around this time last year of what the cumulative fifty 303 00:16:39,880 --> 00:16:43,280 Speaker 1: state budget shortfall is going to be versus the revenue 304 00:16:43,440 --> 00:16:45,680 Speaker 1: estimate in our base case was about two hundred and 305 00:16:45,760 --> 00:16:50,080 Speaker 1: seventy billion dollars um. That number appears to be on 306 00:16:50,120 --> 00:16:53,520 Speaker 1: paper now we're still counting things substantially lower. And then, 307 00:16:53,560 --> 00:16:56,160 Speaker 1: of course, on top of that, in the COVID released 308 00:16:56,160 --> 00:16:59,200 Speaker 1: bill earlier this year, the federal government appropriated three hundred 309 00:16:59,200 --> 00:17:02,400 Speaker 1: and fifty billion dollars of AIDS. So in the state 310 00:17:02,400 --> 00:17:05,600 Speaker 1: and local sector, you've got plenty of money to cover 311 00:17:05,680 --> 00:17:09,280 Speaker 1: potential shortfalls. The money that was appropriated via UM the 312 00:17:09,320 --> 00:17:13,080 Speaker 1: other A packages put plenty of money to the hospital system, 313 00:17:13,119 --> 00:17:18,080 Speaker 1: the airport system, So this is a sector. Broadly speaking, 314 00:17:18,160 --> 00:17:21,119 Speaker 1: most municipal sectors are not just writing the v shaped 315 00:17:21,119 --> 00:17:24,439 Speaker 1: economic recovery. They were also given plenty of cash by 316 00:17:24,440 --> 00:17:27,720 Speaker 1: the federal government, and so you wouldn't expect to see 317 00:17:28,119 --> 00:17:32,119 Speaker 1: anything directionally negative show up on income statements or balance 318 00:17:32,119 --> 00:17:36,480 Speaker 1: sheets over the course of this year. Michael, where are 319 00:17:36,520 --> 00:17:39,520 Speaker 1: you guys seeing value here in a bond market? Where 320 00:17:39,520 --> 00:17:42,399 Speaker 1: are you guys spending some time? You know, it's tough 321 00:17:42,480 --> 00:17:45,679 Speaker 1: because a lot of the value has been squeezed out here. 322 00:17:45,680 --> 00:17:49,119 Speaker 1: On a relative basis. The sectors that we still like 323 00:17:49,320 --> 00:17:53,679 Speaker 1: here are airports and higher education. So certainly that the 324 00:17:53,760 --> 00:17:56,240 Speaker 1: relative yield you can get here is not nearly as 325 00:17:56,320 --> 00:17:58,760 Speaker 1: much as it was during the pandemic or the high 326 00:17:58,800 --> 00:18:01,119 Speaker 1: of the pandemic. Of these are sectors where there's a 327 00:18:01,160 --> 00:18:06,320 Speaker 1: lot of concern about their economic model relies on population density, 328 00:18:06,320 --> 00:18:09,919 Speaker 1: on people being together. Um So in some ways you 329 00:18:09,920 --> 00:18:14,119 Speaker 1: saw their fundamentals decrease the most. Uh. And here we 330 00:18:14,160 --> 00:18:16,280 Speaker 1: think the trajectory out of the pandemic is going to 331 00:18:16,320 --> 00:18:19,439 Speaker 1: benefit the fundamentals. They're the most. So there's a little 332 00:18:19,440 --> 00:18:22,000 Speaker 1: bit of extra yeld breast there. And frankly, we just 333 00:18:22,040 --> 00:18:24,480 Speaker 1: think that when there isn't the market's not giving you 334 00:18:24,520 --> 00:18:26,720 Speaker 1: a lot of spread to go credit picking, you might 335 00:18:26,720 --> 00:18:28,440 Speaker 1: as well put things in your portfolio you think have 336 00:18:28,560 --> 00:18:34,560 Speaker 1: the sharpest positive fundamental trajectory. I'm curious to know about 337 00:18:34,640 --> 00:18:37,040 Speaker 1: your your career, Michael Um. I don't want to get 338 00:18:37,080 --> 00:18:40,600 Speaker 1: too personal, but I think it's fascinating. You studied um 339 00:18:40,840 --> 00:18:44,560 Speaker 1: political economy at Georgetown, public affairs at Austin. Then you 340 00:18:44,640 --> 00:18:47,440 Speaker 1: want you're a chloral fellow, went to Fitch. Then you're 341 00:18:47,480 --> 00:18:49,320 Speaker 1: on the by side, And how do you get from 342 00:18:49,359 --> 00:18:53,959 Speaker 1: there to here? Yeah? I don't know. Actually, I mean 343 00:18:54,040 --> 00:18:56,000 Speaker 1: a little at a little bit of luck, a little 344 00:18:56,000 --> 00:18:59,639 Speaker 1: bit of accident, happenstance. I mean, I think for me, 345 00:19:00,440 --> 00:19:04,520 Speaker 1: UM municipal market was always fascinating because it was about 346 00:19:04,640 --> 00:19:08,879 Speaker 1: taking the numbers that are in financial statements and seeing 347 00:19:08,880 --> 00:19:11,400 Speaker 1: through to what the actual policy choices that were being 348 00:19:11,440 --> 00:19:13,720 Speaker 1: made were. And then really, I think to be any 349 00:19:13,880 --> 00:19:16,840 Speaker 1: to be a good municipal credit analysts, you really have 350 00:19:17,000 --> 00:19:21,320 Speaker 1: to have a forecasting ability about national policy, tax policy, 351 00:19:21,359 --> 00:19:24,439 Speaker 1: healthcare policy, etcetera. And that's a skill set that that 352 00:19:24,600 --> 00:19:29,360 Speaker 1: then translated into broader public policy forecasting for other markets. 353 00:19:29,440 --> 00:19:33,480 Speaker 1: So unconventional path as supposed but have worked out well. 354 00:19:33,520 --> 00:19:36,920 Speaker 1: I just think it's fascinating because you have that public 355 00:19:37,080 --> 00:19:40,720 Speaker 1: policy background and now we're in a situation where we're 356 00:19:40,760 --> 00:19:44,760 Speaker 1: looking at you know, trillions of dollars in fiscal spending 357 00:19:44,880 --> 00:19:49,240 Speaker 1: and even more in Fed assistance. And I mean really, um, 358 00:19:49,480 --> 00:19:52,000 Speaker 1: really a paradigm shift in the way on the US 359 00:19:52,040 --> 00:19:54,760 Speaker 1: economy is operated from a government level. Right, we went 360 00:19:54,840 --> 00:19:59,320 Speaker 1: from the Reagan years making smaller government, deregulating, and and 361 00:19:59,359 --> 00:20:01,960 Speaker 1: now forty years later we're just turning a correer here. 362 00:20:02,600 --> 00:20:08,040 Speaker 1: Does that inform your investment strategy? Well, I mean absolutely. 363 00:20:08,080 --> 00:20:11,000 Speaker 1: I think as an investor you sort of learn to 364 00:20:11,359 --> 00:20:13,400 Speaker 1: if you if you want to track these things correctly, 365 00:20:13,560 --> 00:20:15,800 Speaker 1: to take your personal views about what you want to 366 00:20:15,880 --> 00:20:19,160 Speaker 1: happen in Washington, d C. Or any other state capital 367 00:20:19,240 --> 00:20:21,520 Speaker 1: out of it, and you focus on what will happen. 368 00:20:22,359 --> 00:20:27,080 Speaker 1: And right now, we have a very polarized electorate in 369 00:20:27,119 --> 00:20:32,560 Speaker 1: the US and therefore a disincentive to bipartisanship. And what 370 00:20:32,600 --> 00:20:35,600 Speaker 1: it tells you is that the when one party or 371 00:20:35,640 --> 00:20:38,760 Speaker 1: the other has control, that's the only are sort of 372 00:20:39,160 --> 00:20:42,040 Speaker 1: likely the best time to get any legislation done. And 373 00:20:42,200 --> 00:20:45,760 Speaker 1: legislation tends to get done only in the way that 374 00:20:45,880 --> 00:20:48,239 Speaker 1: all members of a party can agree upon. So when 375 00:20:48,280 --> 00:20:51,960 Speaker 1: you overlay on what you're talking about on fiscal policy, uh, 376 00:20:52,000 --> 00:20:55,199 Speaker 1: it means that when Republicans have been in power, they 377 00:20:55,240 --> 00:20:56,959 Speaker 1: can all agree on tax cuts, you tend to get 378 00:20:57,000 --> 00:21:00,400 Speaker 1: fiscal expansion that way. When Democrats are empower, they can 379 00:21:00,440 --> 00:21:02,800 Speaker 1: all agree on the spending side, less so on the 380 00:21:02,840 --> 00:21:05,760 Speaker 1: tax side. And until the electorate is going to punish 381 00:21:05,760 --> 00:21:10,280 Speaker 1: someone for deficit spending, maybe because you actually see inflation 382 00:21:10,720 --> 00:21:15,280 Speaker 1: impacting people's disposable income, well then the incentives is just 383 00:21:15,359 --> 00:21:18,399 Speaker 1: kind of keep pushing the deficit wider. So that's what 384 00:21:18,480 --> 00:21:21,040 Speaker 1: sets up for the for the spending that you've seen 385 00:21:21,080 --> 00:21:22,479 Speaker 1: so far this year and that we think is going 386 00:21:22,520 --> 00:21:24,960 Speaker 1: to continue. All right, Michael, thanks very much for joining 387 00:21:25,040 --> 00:21:27,200 Speaker 1: us pleasure having on the program. Michael jesus their chief 388 00:21:27,280 --> 00:21:30,680 Speaker 1: US public policy and unique strategist at Morgan Stanley. I 389 00:21:30,720 --> 00:21:33,480 Speaker 1: remember he did a great podcast with Ritholts Masters in 390 00:21:33,520 --> 00:21:37,080 Speaker 1: Business Podcasts a few years ago that that I loved, 391 00:21:37,119 --> 00:21:39,160 Speaker 1: So I'm glad we got to get him on This 392 00:21:39,920 --> 00:21:46,040 Speaker 1: is Bloomberg. You know, since the beginning of this pandemic, 393 00:21:46,160 --> 00:21:48,760 Speaker 1: you know, when the markets across the board just created 394 00:21:48,880 --> 00:21:52,840 Speaker 1: one market showed incredible resiliency, it just amazed me. That's 395 00:21:52,880 --> 00:21:55,560 Speaker 1: the real estate market, whether it's existing homes, new homes, 396 00:21:55,920 --> 00:21:58,720 Speaker 1: housing starts. You know, the numbers were generally really strong 397 00:21:58,760 --> 00:22:01,880 Speaker 1: throughout the pandemic, and we got some more data today, 398 00:22:01,920 --> 00:22:03,880 Speaker 1: but it's just an amazing market. Let's kind of dig 399 00:22:03,920 --> 00:22:06,159 Speaker 1: into it. We can do that with Craig Gimmona. He's 400 00:22:06,160 --> 00:22:08,640 Speaker 1: a real estate reporter for Bloomberg News. He actually joins 401 00:22:08,720 --> 00:22:12,040 Speaker 1: us again live in this Bloomberg Interactive broken studio. The 402 00:22:12,040 --> 00:22:15,040 Speaker 1: first guest I've had in this studio in fourteen months, 403 00:22:15,040 --> 00:22:17,199 Speaker 1: so it's you're the first Craig thanks so much for 404 00:22:17,240 --> 00:22:19,320 Speaker 1: coming in here. Talk to us about some of the 405 00:22:19,400 --> 00:22:22,680 Speaker 1: data we saw today. I know the US no new 406 00:22:22,720 --> 00:22:25,320 Speaker 1: home sales fell by more than forecast, but I mean 407 00:22:25,400 --> 00:22:27,800 Speaker 1: the demand still out there, right, The demand is definitely 408 00:22:27,960 --> 00:22:29,840 Speaker 1: still out there, and I think in the two reports 409 00:22:29,880 --> 00:22:32,400 Speaker 1: that we got today Case Shiller plus home sales, you're 410 00:22:32,400 --> 00:22:34,400 Speaker 1: seeing kind of the way the trend is playing out. 411 00:22:34,440 --> 00:22:37,600 Speaker 1: As you said back last April, things froze, you know, 412 00:22:37,640 --> 00:22:40,119 Speaker 1: there was not much transactions. People thought real estate prices 413 00:22:40,119 --> 00:22:42,400 Speaker 1: were gonna fall, but as soon as people started moving 414 00:22:42,440 --> 00:22:44,159 Speaker 1: again a little bit, home prices have just been on 415 00:22:44,160 --> 00:22:47,399 Speaker 1: a steady climb. I mean, there's demographic tail winds. The 416 00:22:47,440 --> 00:22:49,840 Speaker 1: millennial generation is at home buying age, they're having that 417 00:22:49,920 --> 00:22:53,040 Speaker 1: second kid. There's demand for extra space for offices for 418 00:22:53,119 --> 00:22:55,679 Speaker 1: remote learning. So the suburbs are about as hot as 419 00:22:55,680 --> 00:22:58,080 Speaker 1: they've been in fifteen or twenty years, and there's nothing 420 00:22:58,080 --> 00:23:01,520 Speaker 1: to buy. There's a severe inventory shortage. Basically every home 421 00:23:01,560 --> 00:23:04,200 Speaker 1: that hits the market moves and record speed. There's cash offers, 422 00:23:04,200 --> 00:23:08,560 Speaker 1: bidding wars, so incredible demand for houses in the United States. 423 00:23:08,560 --> 00:23:11,360 Speaker 1: The question is are the prices going to run out 424 00:23:11,400 --> 00:23:13,160 Speaker 1: ahead of the demand and keep those first time buyers, 425 00:23:13,200 --> 00:23:15,080 Speaker 1: the millennial couple that's looking for something in that three 426 00:23:15,160 --> 00:23:18,240 Speaker 1: hundred thousand, four hundred thousand dollar range. It's very very 427 00:23:18,240 --> 00:23:19,960 Speaker 1: tough out there right now. And I do think that's 428 00:23:19,960 --> 00:23:22,960 Speaker 1: what you're seeing in new home sales. I know my 429 00:23:23,040 --> 00:23:25,320 Speaker 1: brother is looking for a place in the Try State area, 430 00:23:25,480 --> 00:23:29,520 Speaker 1: and every time they put in an offer, they are 431 00:23:29,600 --> 00:23:32,800 Speaker 1: instantly overbid by like five or six different people. I 432 00:23:32,800 --> 00:23:35,359 Speaker 1: know somebody who just bought a place in the DC 433 00:23:35,640 --> 00:23:40,560 Speaker 1: area without even having seen it. Very very common. Yeah, 434 00:23:40,600 --> 00:23:44,399 Speaker 1: that's just to me, that seems crazy like buying a 435 00:23:44,520 --> 00:23:47,360 Speaker 1: used car without test driving, and it's just absolutely nuts. 436 00:23:47,400 --> 00:23:49,760 Speaker 1: But I guess you've got to do that. Um. Why 437 00:23:49,960 --> 00:23:53,520 Speaker 1: why aren't we seeing a ton of new supply come 438 00:23:53,560 --> 00:23:55,679 Speaker 1: online in the market where you see prices going up 439 00:23:56,160 --> 00:24:03,240 Speaker 1: ten or per month? Um? Doesn't that make construction workers 440 00:24:03,320 --> 00:24:06,560 Speaker 1: want to go out and build spec houses? Um? It does? 441 00:24:06,600 --> 00:24:08,199 Speaker 1: And I think two things on that. I mean, I 442 00:24:08,200 --> 00:24:10,439 Speaker 1: think as far as existing homes, I think some of 443 00:24:10,440 --> 00:24:12,600 Speaker 1: the older people that own those bigger homes in the 444 00:24:12,640 --> 00:24:15,040 Speaker 1: suburbs have not sold them because maybe the kid from 445 00:24:15,040 --> 00:24:17,879 Speaker 1: college moved back in in the pandemic suddenly they like 446 00:24:18,040 --> 00:24:21,240 Speaker 1: that big place in Granwage or Westchester because they have 447 00:24:21,359 --> 00:24:23,800 Speaker 1: room for the entire family. So people have been on 448 00:24:23,840 --> 00:24:26,320 Speaker 1: the sidelines, the people that typically would be downsizing at 449 00:24:26,320 --> 00:24:28,359 Speaker 1: this life stage. And you know, we went into this 450 00:24:28,400 --> 00:24:30,760 Speaker 1: with a severe shortage, and I think the builders have 451 00:24:30,880 --> 00:24:33,880 Speaker 1: ramped up as fast as they can. But you've also 452 00:24:33,920 --> 00:24:36,119 Speaker 1: seen a situation where it's so hot and lumber is 453 00:24:36,160 --> 00:24:37,800 Speaker 1: going up so much that the builders are kind of 454 00:24:37,800 --> 00:24:40,920 Speaker 1: deliberately slowing things down because they don't want to lock 455 00:24:40,920 --> 00:24:42,560 Speaker 1: in a price right now because in two months the 456 00:24:42,600 --> 00:24:44,679 Speaker 1: price could be up ten percent. So you know, a 457 00:24:44,680 --> 00:24:46,280 Speaker 1: lot of factors. But we went into this with a 458 00:24:46,359 --> 00:24:49,280 Speaker 1: huge supply shortage, and I do think the millennial sort 459 00:24:49,280 --> 00:24:52,040 Speaker 1: of demographic tailwind, it's a big factor here. So Craig, 460 00:24:52,040 --> 00:24:54,840 Speaker 1: when we talk about new housing, one of the areas 461 00:24:54,920 --> 00:24:58,520 Speaker 1: that had been problematic, I think from just the market's 462 00:24:58,560 --> 00:25:02,520 Speaker 1: perspective is builders were building a lot of new entry homes. 463 00:25:02,520 --> 00:25:04,840 Speaker 1: They're buying, you know, building the McMansions and things like that. 464 00:25:04,880 --> 00:25:07,280 Speaker 1: The trade up homes are have they've sensed that there 465 00:25:07,520 --> 00:25:10,480 Speaker 1: is a market for that move in early first buyer 466 00:25:10,560 --> 00:25:13,120 Speaker 1: kind of house. I think they know that that market exists, 467 00:25:13,119 --> 00:25:15,520 Speaker 1: and some of them at least pay lip service to that. 468 00:25:15,560 --> 00:25:17,520 Speaker 1: But I think what you're seeing there also is that 469 00:25:17,960 --> 00:25:20,199 Speaker 1: you know it costs about the same to build that 470 00:25:20,200 --> 00:25:22,119 Speaker 1: eight hundred thousand dollar home, you know, with the with 471 00:25:22,160 --> 00:25:25,679 Speaker 1: the way lumber is, with land labor that you know 472 00:25:25,800 --> 00:25:27,600 Speaker 1: told brothers are one of these other guys is looking 473 00:25:27,640 --> 00:25:29,520 Speaker 1: at it and saying, I could build a house for 474 00:25:29,520 --> 00:25:32,000 Speaker 1: four fifty there. I could certainly sell that. But I 475 00:25:32,000 --> 00:25:34,240 Speaker 1: could sell this home for eight hundred two. So why 476 00:25:34,240 --> 00:25:36,199 Speaker 1: don't I build that when the margins are better? So 477 00:25:36,320 --> 00:25:38,840 Speaker 1: it's a it's a massive problem. I think, Um, there's 478 00:25:38,840 --> 00:25:41,359 Speaker 1: an affordability crisis that's looming here where you have a 479 00:25:41,400 --> 00:25:43,480 Speaker 1: generation of people that you know are going to have 480 00:25:43,520 --> 00:25:46,040 Speaker 1: a very very hard time buying that first home when 481 00:25:46,080 --> 00:25:49,119 Speaker 1: if things day like this. I've always thought, I wish 482 00:25:49,240 --> 00:25:53,560 Speaker 1: I could do this job broadcasting for Bloomberg Radio, Bloomberg Television, 483 00:25:54,400 --> 00:25:58,280 Speaker 1: UM remotely and get a place in like rural Montana. 484 00:25:58,760 --> 00:26:01,280 Speaker 1: So for me, that's not going to be a possibility. 485 00:26:01,320 --> 00:26:03,560 Speaker 1: I'll talk to Al from Jersey about that one. But 486 00:26:03,560 --> 00:26:07,560 Speaker 1: but for others, Um Craig, that's become a real possibility. Uh. 487 00:26:07,880 --> 00:26:10,159 Speaker 1: In the pandemic and now it looks like post pandemic. 488 00:26:10,440 --> 00:26:14,080 Speaker 1: Are you seeing things spread out a little bit due 489 00:26:14,080 --> 00:26:17,160 Speaker 1: to that? I mean, I think places like the Hampton's, 490 00:26:17,280 --> 00:26:20,639 Speaker 1: places like Aspen Tahoe, those are those are places that 491 00:26:20,680 --> 00:26:23,600 Speaker 1: went crazy in the pandemic because people said, Okay, I 492 00:26:23,640 --> 00:26:25,800 Speaker 1: don't have to go into my office in midtown anymore. 493 00:26:26,280 --> 00:26:28,120 Speaker 1: You know, now I can live wherever I want. I mean, 494 00:26:28,160 --> 00:26:31,040 Speaker 1: we'll see. I think the narrative that you know, midtown 495 00:26:31,040 --> 00:26:35,280 Speaker 1: offices are dead was way overblown a year ago. Obviously, 496 00:26:35,359 --> 00:26:37,280 Speaker 1: we're seeing people start to trickle back. I think there's 497 00:26:37,280 --> 00:26:39,160 Speaker 1: a lot of people waking up in the cats skills. 498 00:26:39,600 --> 00:26:41,159 Speaker 1: You know, now the boss is saying you have to 499 00:26:41,200 --> 00:26:43,040 Speaker 1: come back, wondering, you know, why did we buy this 500 00:26:43,080 --> 00:26:45,800 Speaker 1: place that's two and a half hours from midtown Manhattan. 501 00:26:45,880 --> 00:26:48,880 Speaker 1: So it'll be interesting to see, you know what flex 502 00:26:48,880 --> 00:26:50,399 Speaker 1: work means. I think in a world where you have 503 00:26:50,440 --> 00:26:52,199 Speaker 1: to be in the office three days a week, you know, 504 00:26:52,400 --> 00:26:54,800 Speaker 1: it's still you don't want to go so far out 505 00:26:54,840 --> 00:26:57,840 Speaker 1: and you know something. Houses near transit in New Jersey 506 00:26:57,920 --> 00:27:01,280 Speaker 1: have remained pretty hot. Long Island where Chester, So I 507 00:27:01,320 --> 00:27:03,240 Speaker 1: think some people did leave the city. They wanted to 508 00:27:03,240 --> 00:27:06,680 Speaker 1: get bigger properties, a lot of that was life stage demographics. 509 00:27:06,720 --> 00:27:09,959 Speaker 1: But you know, office as offices reopen, it'll be interesting 510 00:27:10,000 --> 00:27:13,200 Speaker 1: to see if things stay so frothy in these more 511 00:27:13,240 --> 00:27:15,960 Speaker 1: remote locations. I mean Kingston, New York has led the 512 00:27:15,960 --> 00:27:18,040 Speaker 1: home price gains I think for two quarters in a row. 513 00:27:18,320 --> 00:27:20,359 Speaker 1: You know, that's people that's a lot of vacation homes, 514 00:27:20,359 --> 00:27:22,399 Speaker 1: but that's also people that figured they would never have 515 00:27:22,440 --> 00:27:26,800 Speaker 1: to go back to the office. All right, interesting stuff. 516 00:27:26,840 --> 00:27:31,119 Speaker 1: Obviously everyone cares um because everyone's on one side of 517 00:27:31,160 --> 00:27:33,240 Speaker 1: the trade or the other in the US, right. I mean, 518 00:27:33,680 --> 00:27:38,000 Speaker 1: either your site because your house is appreciating like crazy, 519 00:27:38,160 --> 00:27:40,120 Speaker 1: and it's probably for a lot of people, for most 520 00:27:40,119 --> 00:27:44,440 Speaker 1: people their biggest asset, or you're bummed because you want 521 00:27:44,480 --> 00:27:47,520 Speaker 1: to buy a house and you can't afford it. That's right, um, 522 00:27:47,600 --> 00:27:49,399 Speaker 1: and that's why the market seems to have come to 523 00:27:49,440 --> 00:27:52,440 Speaker 1: a standstill. Standstill. Great to have Craig gi Amona there, 524 00:27:52,560 --> 00:27:56,760 Speaker 1: Bloomberg real estate reporter in the studio with Paul Wow. 525 00:27:56,840 --> 00:27:59,679 Speaker 1: The times they are a change in But I'm guessing 526 00:27:59,680 --> 00:28:02,679 Speaker 1: you're fully vaxed. We're fully vaxed. It's all good to go. 527 00:28:03,119 --> 00:28:07,399 Speaker 1: That's awesome, This is Bloomberg. Thanks for listening. To the 528 00:28:07,400 --> 00:28:11,360 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 529 00:28:11,359 --> 00:28:15,640 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 530 00:28:15,680 --> 00:28:20,040 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Put 531 00:28:20,080 --> 00:28:22,680 Speaker 1: on fall Sweeney. I'm on Twitter at pt Sweeney. Before 532 00:28:22,680 --> 00:28:25,560 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 533 00:28:25,600 --> 00:28:25,840 Speaker 1: Radio