1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,160 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,560 Speaker 1: along with essential market moving news. Kind the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:20,400 Speaker 1: and on Bloomberg dot com. It's a weekly visit with 7 00:00:20,560 --> 00:00:23,639 Speaker 1: Lauren's sour Time and it's always something we look forward to. 8 00:00:23,720 --> 00:00:27,240 Speaker 1: Lauren's assistant professor of Emergency Medicine at Johns Hopkins University, 9 00:00:27,280 --> 00:00:30,720 Speaker 1: which of course is assisted by the philanthropic efforts of 10 00:00:30,760 --> 00:00:34,680 Speaker 1: the owner of this radio station. But Lauren, thanks for joining. 11 00:00:34,880 --> 00:00:37,600 Speaker 1: Very thrilled today because Reuters is rewarding that the first 12 00:00:37,600 --> 00:00:40,440 Speaker 1: doses of vaccine could be dished out to seniors and 13 00:00:40,760 --> 00:00:45,920 Speaker 1: nursing facilities and nursing homes December twenty one. What's your reaction? 14 00:00:47,440 --> 00:00:49,080 Speaker 1: You know, I think we all needed a bit of 15 00:00:49,120 --> 00:00:51,879 Speaker 1: good news, and we all were watching with um a 16 00:00:51,920 --> 00:00:54,840 Speaker 1: lot of anticipation to see how the meeting went yesterday 17 00:00:54,840 --> 00:00:57,160 Speaker 1: with the SBA, and so it's just great to see 18 00:00:57,240 --> 00:01:01,080 Speaker 1: everyone collectively working towards this emergency use off rezation the 19 00:01:01,120 --> 00:01:03,720 Speaker 1: outcome looks promising. I think we're waiting to see the 20 00:01:03,760 --> 00:01:07,480 Speaker 1: final details of what will be within the Emergency Use authorization, 21 00:01:07,840 --> 00:01:10,080 Speaker 1: and then we're hoping to see you know, almost three 22 00:01:10,120 --> 00:01:14,839 Speaker 1: million doses go out sometime early this next week. So, Lauren, 23 00:01:15,000 --> 00:01:18,000 Speaker 1: there's an interesting fascinating story on the Bloomberg terminal today 24 00:01:18,360 --> 00:01:21,959 Speaker 1: saying how the US ranks thirty second in vaccine buys 25 00:01:22,000 --> 00:01:26,760 Speaker 1: on a per capita basis. UM, where are you? Where 26 00:01:26,760 --> 00:01:28,399 Speaker 1: do you think the US is in terms of having 27 00:01:28,440 --> 00:01:34,320 Speaker 1: a proper supply, sufficient supply of vaccines to vaccinate its 28 00:01:34,360 --> 00:01:38,559 Speaker 1: population as I guess, you know, quickly as possible. Yeah, 29 00:01:38,600 --> 00:01:40,959 Speaker 1: I think we would like to see, Um, we would 30 00:01:41,000 --> 00:01:42,880 Speaker 1: we would have liked to see more doses secured, but 31 00:01:42,959 --> 00:01:46,520 Speaker 1: the the challenge will be an administration. So the one 32 00:01:46,520 --> 00:01:49,960 Speaker 1: benefit of this UM somewhat slower rollout will be that 33 00:01:50,040 --> 00:01:54,080 Speaker 1: we really are very careful with these initial doses. UM. 34 00:01:54,120 --> 00:01:57,040 Speaker 1: I think I saw that about two point and nine millions, 35 00:01:57,080 --> 00:02:00,400 Speaker 1: So the of the initial available six point form million 36 00:02:00,440 --> 00:02:03,880 Speaker 1: fiser doses will go out UM in this you know, 37 00:02:03,920 --> 00:02:06,480 Speaker 1: hopefully early this week, and that will give us time 38 00:02:06,520 --> 00:02:10,800 Speaker 1: to really UM perspect the supply chain and the distribution. UH, 39 00:02:11,040 --> 00:02:13,680 Speaker 1: as everyone knows us and find now the Fiser vaccine 40 00:02:13,720 --> 00:02:17,880 Speaker 1: has some challenging cold chain storage, some challenging distribution issues, 41 00:02:18,240 --> 00:02:22,200 Speaker 1: and so UM using this time to start a little 42 00:02:22,200 --> 00:02:24,160 Speaker 1: bit slow, not super slow. I mean, we have a 43 00:02:24,480 --> 00:02:27,840 Speaker 1: vaccine in the year which is absolutely incredible UM to 44 00:02:27,840 --> 00:02:29,440 Speaker 1: to really make sure that we're not going to waste 45 00:02:29,480 --> 00:02:31,520 Speaker 1: any doses, that we have a plan for how we're 46 00:02:31,560 --> 00:02:35,080 Speaker 1: accessing these harder to reach populations, UM, that we're getting 47 00:02:35,080 --> 00:02:37,040 Speaker 1: it to the people who need it most right now 48 00:02:37,240 --> 00:02:40,120 Speaker 1: is critical. I do think that there's going to be 49 00:02:40,280 --> 00:02:42,720 Speaker 1: a need for massive scale up UM that we're not 50 00:02:43,320 --> 00:02:46,919 Speaker 1: really quite ready for UM and and I haven't seen 51 00:02:46,960 --> 00:02:49,680 Speaker 1: that story yet, but it does make sense to me 52 00:02:49,760 --> 00:02:53,040 Speaker 1: that we will need to improve UM that capacity. I 53 00:02:53,080 --> 00:02:56,720 Speaker 1: think as more vaccines come online, particularly ones with more 54 00:02:56,760 --> 00:03:00,800 Speaker 1: improved cold chain storage issues, UM, we'll see that number 55 00:03:00,880 --> 00:03:04,000 Speaker 1: tick up. Is there any reason to suspect that it 56 00:03:04,000 --> 00:03:05,840 Speaker 1: will be difficult to scale that up? And given the 57 00:03:05,840 --> 00:03:10,000 Speaker 1: difficulties we had, you know, bringing in PPE for example, 58 00:03:10,400 --> 00:03:14,480 Speaker 1: or other sorts of things that we needed very badly 59 00:03:14,600 --> 00:03:17,520 Speaker 1: earlier in the year, Yeah, it's I mean, that's a 60 00:03:17,560 --> 00:03:19,600 Speaker 1: great question. I think it's something that we're all a 61 00:03:19,639 --> 00:03:21,960 Speaker 1: little bit worried about. You know, we have not seen 62 00:03:22,160 --> 00:03:28,360 Speaker 1: significant changes to how our national supply chain has improved. 63 00:03:28,720 --> 00:03:32,040 Speaker 1: We have a little bit of improved PPE situations, but 64 00:03:32,080 --> 00:03:34,600 Speaker 1: we're still having tons of challenges with not with national 65 00:03:34,639 --> 00:03:37,560 Speaker 1: level testing, with a you know, a national level strategy 66 00:03:37,600 --> 00:03:41,840 Speaker 1: for testing, a national level strategy for resource allocation. Um, 67 00:03:41,880 --> 00:03:44,160 Speaker 1: and this is this is no different where relying on 68 00:03:44,200 --> 00:03:47,120 Speaker 1: the States to truly figure this out. And um, we're 69 00:03:47,160 --> 00:03:49,760 Speaker 1: getting support, but but the scale up is going to 70 00:03:49,800 --> 00:03:52,080 Speaker 1: be critical, and I think we'd like to see more 71 00:03:52,080 --> 00:03:56,000 Speaker 1: activity maybe around the Defense Production Act, around um, some 72 00:03:56,120 --> 00:04:00,560 Speaker 1: alternatives to production scale up. And then um, you know 73 00:04:00,600 --> 00:04:02,840 Speaker 1: many of us are seeing backups in our ability to 74 00:04:03,480 --> 00:04:07,040 Speaker 1: obtain freezers and dry ice and so these all have 75 00:04:07,160 --> 00:04:10,640 Speaker 1: to be worked out in these next few weeks or else. Um, 76 00:04:10,680 --> 00:04:13,440 Speaker 1: it doesn't matter how much vaccine we produced, we won't 77 00:04:13,440 --> 00:04:17,000 Speaker 1: be able to distribute it basically and effectively. So Lauren, 78 00:04:17,040 --> 00:04:19,480 Speaker 1: I guess initially here the market's going to look like, 79 00:04:19,800 --> 00:04:22,400 Speaker 1: you know, the demand for these vaccines is going to 80 00:04:22,440 --> 00:04:25,560 Speaker 1: exceed the supply. But at some point presumably next year, 81 00:04:25,600 --> 00:04:28,080 Speaker 1: mid next year, you know that that dynamical kind of 82 00:04:28,160 --> 00:04:32,080 Speaker 1: change and we'll have plenty supply, and the question will be, UM, 83 00:04:32,279 --> 00:04:35,279 Speaker 1: will enough people want to take the vaccine? Do you 84 00:04:35,320 --> 00:04:38,760 Speaker 1: expect at some point some type of public relations campaign 85 00:04:38,880 --> 00:04:41,880 Speaker 1: may be needed to to get people to convince them 86 00:04:41,880 --> 00:04:44,680 Speaker 1: to in fact take the vaccine so that we as 87 00:04:44,680 --> 00:04:48,800 Speaker 1: a siety can achieve her community. Yeah, I mean, I 88 00:04:48,880 --> 00:04:52,120 Speaker 1: absolutely think that. I think rebuilding the trust in science 89 00:04:52,320 --> 00:04:54,640 Speaker 1: across our country is going to be incredibly important in 90 00:04:54,680 --> 00:04:58,159 Speaker 1: these early weeks of vaccine distribution. I think people trust 91 00:04:58,160 --> 00:05:01,800 Speaker 1: their primary care providers, people us UM individuals they know 92 00:05:02,240 --> 00:05:05,560 Speaker 1: we're getting the vaccines UM to be spokespeople. But that's 93 00:05:05,600 --> 00:05:07,680 Speaker 1: a heavy burden on the people who are getting these 94 00:05:07,720 --> 00:05:10,880 Speaker 1: first rounds of vaccine UM. So we can't put all 95 00:05:10,920 --> 00:05:13,920 Speaker 1: of that reliance on them. We have to build UM 96 00:05:13,960 --> 00:05:18,400 Speaker 1: an education campaign and a trust building campaign and roll 97 00:05:18,400 --> 00:05:20,800 Speaker 1: it out as soon as possible. We can't wait until 98 00:05:20,839 --> 00:05:23,479 Speaker 1: we already have the vaccine ready to go UM. And 99 00:05:23,720 --> 00:05:26,120 Speaker 1: I actually think that there we're going to see a 100 00:05:26,120 --> 00:05:29,000 Speaker 1: little bit of this in this these first two phases. 101 00:05:29,040 --> 00:05:31,160 Speaker 1: So I think there will be health care workers who 102 00:05:31,160 --> 00:05:33,400 Speaker 1: are hesitant, and I think there will be elderly and 103 00:05:33,480 --> 00:05:37,080 Speaker 1: vulnerable populations who are hesitant to receive vaccine, and I 104 00:05:37,080 --> 00:05:40,000 Speaker 1: think we need to we we many people have already 105 00:05:40,040 --> 00:05:41,960 Speaker 1: started working in this space, but we need to have 106 00:05:42,080 --> 00:05:46,680 Speaker 1: this as a primary focus, not a secondary focus to production. Yeah, 107 00:05:46,680 --> 00:05:48,359 Speaker 1: because we do have a couple of days head start 108 00:05:48,400 --> 00:05:50,600 Speaker 1: on the UK, but there are some reports out of 109 00:05:50,600 --> 00:05:53,480 Speaker 1: the UK that might make people a little more hesitant 110 00:05:53,560 --> 00:05:57,360 Speaker 1: allergic reactions and so on. Yeah, yeah, absolutely. I mean 111 00:05:57,400 --> 00:05:59,960 Speaker 1: I think everyone is watching the UK with sort of 112 00:06:00,040 --> 00:06:03,000 Speaker 1: fat breath to see what happens, and we have to 113 00:06:03,040 --> 00:06:06,360 Speaker 1: be prepared to learn, you know, in real time from 114 00:06:06,400 --> 00:06:11,240 Speaker 1: what's happening there and um and apply very rapidly lessons learned. 115 00:06:11,240 --> 00:06:13,320 Speaker 1: And I think that will happen even within the process 116 00:06:13,360 --> 00:06:17,359 Speaker 1: of writing out the eu A building distribution strategies, you know, 117 00:06:17,440 --> 00:06:19,680 Speaker 1: all of those things will be impacted by what's happening 118 00:06:19,760 --> 00:06:22,240 Speaker 1: right now in the in the UK. Hey, Lauren, thank 119 00:06:22,240 --> 00:06:24,480 Speaker 1: you so much once again for joining us. Always appreciate 120 00:06:24,800 --> 00:06:27,680 Speaker 1: your perspective. Laurence so our associate Professor of Eburgency Medicine 121 00:06:27,680 --> 00:06:31,200 Speaker 1: at the Johns Hopkins School of Medicine, joining us for 122 00:06:31,279 --> 00:06:36,000 Speaker 1: the weekly discussion of COVID and the vaccine. It's time 123 00:06:36,000 --> 00:06:39,200 Speaker 1: to bring in Barry Rittle's expert opinion provider, and he 124 00:06:39,279 --> 00:06:41,719 Speaker 1: is a great column ount today. Of course, Barry, just 125 00:06:41,800 --> 00:06:45,000 Speaker 1: to remind everybody, is a Bloomberg Opinion contributor, also founder 126 00:06:45,000 --> 00:06:47,760 Speaker 1: of Rittle's Wealth Management and the host of Masters in 127 00:06:47,960 --> 00:06:51,719 Speaker 1: Business on Bloomberg Radio. So, Barry, I presume that you've 128 00:06:51,720 --> 00:06:57,679 Speaker 1: been watching this week's activities with absolute combinations of disgust, horror, 129 00:06:58,360 --> 00:07:01,320 Speaker 1: all the amusement, just like the rest of us. You 130 00:07:01,400 --> 00:07:04,120 Speaker 1: have a great column today saying that Airbnb in door 131 00:07:04,240 --> 00:07:08,240 Speaker 1: dash Show caused the best and worst of Uber. Explain 132 00:07:08,320 --> 00:07:12,680 Speaker 1: what you mean. Sure, we'll start with the basic model 133 00:07:12,760 --> 00:07:16,200 Speaker 1: that Uber created. You know, we all got consumed by 134 00:07:16,240 --> 00:07:22,360 Speaker 1: the frat house and the Travis getting thrown out as 135 00:07:22,400 --> 00:07:26,480 Speaker 1: as CEO. But really they created a fascinating model where 136 00:07:26,600 --> 00:07:31,280 Speaker 1: they identified a massive inefficiency in a high margin business. 137 00:07:31,360 --> 00:07:35,000 Speaker 1: They created an app that made it really easy for 138 00:07:35,040 --> 00:07:39,960 Speaker 1: consumers to consume those services. And you know we've all 139 00:07:40,040 --> 00:07:43,680 Speaker 1: used the Uber app. Uh, the ability to say I 140 00:07:43,720 --> 00:07:45,760 Speaker 1: want a small car, I want a big truck, I 141 00:07:45,800 --> 00:07:48,400 Speaker 1: want a luxury car, and track when it's going to 142 00:07:48,600 --> 00:07:51,840 Speaker 1: arrive and and not have to mess around with cash 143 00:07:51,920 --> 00:07:56,280 Speaker 1: or anything. That they just made that sort of transportation 144 00:07:56,400 --> 00:08:00,320 Speaker 1: service so much better than it was. And both door 145 00:08:00,440 --> 00:08:06,760 Speaker 1: dash and Airbnb have followed that same basic process. Um. 146 00:08:06,760 --> 00:08:13,600 Speaker 1: With Airbnb, it's a massive addressable margin with an average 147 00:08:13,640 --> 00:08:18,200 Speaker 1: transaction price of a hundred and sixty dollars and a 148 00:08:18,200 --> 00:08:22,680 Speaker 1: an enormous profit margin. Uh. The problem with door dash 149 00:08:22,920 --> 00:08:26,880 Speaker 1: is that we can't say the same thing. So it's 150 00:08:26,920 --> 00:08:30,240 Speaker 1: interesting here Yet investors feel, what what do you make 151 00:08:30,280 --> 00:08:33,240 Speaker 1: I guess of the market this week and and the 152 00:08:33,240 --> 00:08:37,040 Speaker 1: the markets willingness to bid these stocks up so dramatically, 153 00:08:37,640 --> 00:08:39,040 Speaker 1: What did you take away from it? I you know, 154 00:08:39,440 --> 00:08:43,320 Speaker 1: someone saying that the bankers really blew it here. Um. 155 00:08:43,559 --> 00:08:46,040 Speaker 1: You know, how often do the bankers get it right 156 00:08:46,280 --> 00:08:49,920 Speaker 1: and and be aware there's a ton of hindsight bias 157 00:08:50,000 --> 00:08:53,679 Speaker 1: involved when oh, you should have priced it higher. Well, yeah, 158 00:08:53,760 --> 00:08:57,120 Speaker 1: you say that after the fact, so to be fair 159 00:08:57,200 --> 00:09:00,800 Speaker 1: to the bankers. Yeah, it's it's easy to tell what 160 00:09:00,920 --> 00:09:04,719 Speaker 1: the demand is after the fact, but very often the 161 00:09:05,360 --> 00:09:12,040 Speaker 1: companies want to really high um number. The bankers want 162 00:09:12,080 --> 00:09:17,040 Speaker 1: to make sure that there's enough appeal um in the shares, 163 00:09:17,080 --> 00:09:19,760 Speaker 1: that there's demand not only for the I p O shares, 164 00:09:19,800 --> 00:09:23,319 Speaker 1: but the quote unquote shoe that comes out afterwards the 165 00:09:23,400 --> 00:09:26,800 Speaker 1: subsequent shares that the bank seals, and and they want 166 00:09:26,840 --> 00:09:30,000 Speaker 1: to create a little excitement and buzz around the name, 167 00:09:30,080 --> 00:09:32,439 Speaker 1: and and you know, you could argue they could have 168 00:09:32,520 --> 00:09:39,680 Speaker 1: priced this ten twenty higher. Um. Ultimately, the founders, the shareholders, 169 00:09:39,720 --> 00:09:43,920 Speaker 1: they all benefit the insiders. So the company ends up 170 00:09:43,960 --> 00:09:47,720 Speaker 1: with the four or five billion dollars in cash instead 171 00:09:47,760 --> 00:09:50,720 Speaker 1: of six or seven billion dollars in cash. In the 172 00:09:50,800 --> 00:09:53,120 Speaker 1: scheme of things, when the price runs up, if they 173 00:09:53,120 --> 00:09:55,920 Speaker 1: want to do a secondary uh in six months and 174 00:09:56,040 --> 00:09:59,680 Speaker 1: put some more stock out, it's certainly an option. The 175 00:09:59,760 --> 00:10:02,080 Speaker 1: clue sitial. I suppose really that we'll have to wait 176 00:10:02,120 --> 00:10:05,480 Speaker 1: some time to see the answer to is can these companies, 177 00:10:05,600 --> 00:10:08,600 Speaker 1: you know, have a quarter off a quarter of revenue 178 00:10:08,600 --> 00:10:14,560 Speaker 1: growth and profit berry well, for Airbnb with the much 179 00:10:14,679 --> 00:10:19,120 Speaker 1: higher transaction price, I mean, you could go look at 180 00:10:19,679 --> 00:10:23,280 Speaker 1: homes for rent for two three four thousand dollars a 181 00:10:23,440 --> 00:10:28,280 Speaker 1: night on Airbnb. What's the most expensive pizza you're gonna 182 00:10:28,320 --> 00:10:31,920 Speaker 1: get delivered from from door dash. That's the big difference 183 00:10:31,920 --> 00:10:35,000 Speaker 1: between the two business models. They both are sort of 184 00:10:35,000 --> 00:10:39,000 Speaker 1: positioning themselves as pandemic plays. Hey, get out of the city, 185 00:10:39,080 --> 00:10:41,880 Speaker 1: get out of your apartment, come rent a place out 186 00:10:41,880 --> 00:10:45,080 Speaker 1: in the burbs, or where you can drive. You don't 187 00:10:45,080 --> 00:10:47,000 Speaker 1: have to go through t s A or on a plane, 188 00:10:47,400 --> 00:10:50,160 Speaker 1: drive to an airbnb and and you know, wait out. 189 00:10:50,160 --> 00:10:53,520 Speaker 1: The pandemic seemed to be a pretty good line that 190 00:10:53,640 --> 00:10:59,400 Speaker 1: that investors UM brought into door Dash and some of 191 00:10:59,440 --> 00:11:02,560 Speaker 1: their compared it is like Uber eats and and grubhub 192 00:11:02,640 --> 00:11:04,840 Speaker 1: and all the others. There's been a series of mergers there. 193 00:11:04,880 --> 00:11:08,400 Speaker 1: I don't even know who's who anymore, but UM they 194 00:11:08,520 --> 00:11:12,120 Speaker 1: also try to make that same sort of pandemic. Hey, 195 00:11:12,160 --> 00:11:13,880 Speaker 1: you don't have to go out to eat. You know, 196 00:11:13,960 --> 00:11:16,520 Speaker 1: we'll do a touch free delivery, you pay for it 197 00:11:16,559 --> 00:11:18,640 Speaker 1: on the credit card, will leave it on your doorstep. 198 00:11:19,160 --> 00:11:22,800 Speaker 1: And you know that they certainly have been growing very 199 00:11:22,920 --> 00:11:27,280 Speaker 1: very quickly. The differences the people I know who are 200 00:11:27,280 --> 00:11:32,080 Speaker 1: who are currently using airbnb. UM. Almost to a person, 201 00:11:32,160 --> 00:11:34,640 Speaker 1: everyone says, of course, we're going to continue using it 202 00:11:34,679 --> 00:11:40,000 Speaker 1: after the pandemic. The food delivery services are a short 203 00:11:40,160 --> 00:11:45,079 Speaker 1: term substitute for going to a restaurant, and I suspect 204 00:11:45,120 --> 00:11:49,440 Speaker 1: that post pandemic, the various food delivery aps and and 205 00:11:49,520 --> 00:11:51,920 Speaker 1: that certainly includes do our Dash and all the rest 206 00:11:53,040 --> 00:11:55,400 Speaker 1: we have to presume there's going to be some sort 207 00:11:55,400 --> 00:11:59,080 Speaker 1: of fall off in usage. The question is is it modest? 208 00:11:59,200 --> 00:12:02,640 Speaker 1: Is it big? Is it giant? I don't think it's modest. 209 00:12:02,679 --> 00:12:05,840 Speaker 1: I think it's going to be more substantial than that. Yeah, Barry, 210 00:12:05,880 --> 00:12:08,319 Speaker 1: I actually I agree with your analysis of door Dash there, 211 00:12:08,360 --> 00:12:11,400 Speaker 1: and again I was, I guess surprised at how well 212 00:12:11,480 --> 00:12:15,040 Speaker 1: embraced UH that I PA was in evaluation. It's garnering. 213 00:12:15,200 --> 00:12:17,520 Speaker 1: So that brings me to my my question, Barry, are 214 00:12:17,559 --> 00:12:20,920 Speaker 1: you drawing any conclusions as it relates to the state 215 00:12:21,040 --> 00:12:24,040 Speaker 1: of the overall equity markets about how these two deals 216 00:12:24,400 --> 00:12:26,880 Speaker 1: were received and how they are being valid as it 217 00:12:26,920 --> 00:12:29,920 Speaker 1: suggests you maybe a certain level of frothiness in the market, 218 00:12:30,480 --> 00:12:33,920 Speaker 1: akin to maybe what we've seen in some past bubbles. Um. So, 219 00:12:34,040 --> 00:12:36,880 Speaker 1: frothy is a great word because it doesn't commit you 220 00:12:36,960 --> 00:12:40,280 Speaker 1: to saying that this can't continue any further. So I'm 221 00:12:40,320 --> 00:12:44,520 Speaker 1: with you on that. And and remember Alan Greenspan's infamous 222 00:12:44,559 --> 00:12:48,240 Speaker 1: irrational zuberan speech in the middle of the dot com 223 00:12:48,240 --> 00:12:53,480 Speaker 1: boom that eventually blew up. That was if you were 224 00:12:53,520 --> 00:12:57,000 Speaker 1: a seller on that speech, you missed an ungodly amount 225 00:12:57,000 --> 00:13:00,600 Speaker 1: of gains over the next four years. Remember a market 226 00:13:00,640 --> 00:13:05,520 Speaker 1: didn't peak until March two thousand, so frothiness. And we 227 00:13:05,600 --> 00:13:09,720 Speaker 1: certainly have seen this in in some back issuance UM 228 00:13:09,760 --> 00:13:16,240 Speaker 1: and some bit Clean Person and other crypto related UM items. Yeah, 229 00:13:16,240 --> 00:13:20,800 Speaker 1: there's definitely some speculation going out there. And I'm not 230 00:13:20,920 --> 00:13:24,720 Speaker 1: in the camp that wants to blame Robin Hood on everything. 231 00:13:25,760 --> 00:13:29,600 Speaker 1: That's an aspect of it. Boredom, people lacking the ability 232 00:13:30,000 --> 00:13:32,520 Speaker 1: to go out and play, to go to casinos to 233 00:13:32,600 --> 00:13:37,160 Speaker 1: watch you know, sports. We we keep watching one football game, 234 00:13:37,200 --> 00:13:41,599 Speaker 1: whether it's college or or professional, after another get canceled. 235 00:13:41,679 --> 00:13:44,600 Speaker 1: So you know, you have a lot of people who 236 00:13:44,600 --> 00:13:49,400 Speaker 1: are homeboard that might count for some of this um 237 00:13:50,000 --> 00:13:53,800 Speaker 1: and and you know, it's been such a long time 238 00:13:53,880 --> 00:13:57,520 Speaker 1: since we've had a sexy, exciting run of I p 239 00:13:57,640 --> 00:14:01,160 Speaker 1: O S. Companies have been staying private yea for longer. 240 00:14:01,280 --> 00:14:05,160 Speaker 1: You know, Airbnb is a perfect example. That's a fairly 241 00:14:05,240 --> 00:14:10,760 Speaker 1: mature company that has um both strong revenue and and 242 00:14:11,000 --> 00:14:14,800 Speaker 1: profit growth. And you know, they had a few missteps 243 00:14:14,800 --> 00:14:17,120 Speaker 1: in the beginning of the pandemic, and they writed the 244 00:14:17,160 --> 00:14:20,280 Speaker 1: filter pretty quickly. They did pivot pretty quickly. Barry Riddh Holtz, 245 00:14:20,280 --> 00:14:22,120 Speaker 1: thanks so much. For joining us here. Barry ridh Holts, 246 00:14:22,120 --> 00:14:25,160 Speaker 1: Bloomberg Opinion calumnists and host of Masters in Business on 247 00:14:25,200 --> 00:14:28,800 Speaker 1: Bloomberg Radio also found their chairman and chief investment officer 248 00:14:28,880 --> 00:14:31,640 Speaker 1: of rid Holts Wealth Management, giving us his thoughts on 249 00:14:31,680 --> 00:14:36,480 Speaker 1: the markets. Well, I'm sending a trend here in the 250 00:14:36,480 --> 00:14:39,720 Speaker 1: world of business. First it was Stevie Nicks selling part 251 00:14:40,040 --> 00:14:43,760 Speaker 1: of her catalog to some investors for about a hundred 252 00:14:43,760 --> 00:14:47,880 Speaker 1: million dollars, and then just recently Bob Dylan selling his 253 00:14:48,040 --> 00:14:50,720 Speaker 1: catalog to Universal Music Group for what is expected to 254 00:14:50,720 --> 00:14:53,600 Speaker 1: be at least two hundred million dollars. What is going 255 00:14:53,640 --> 00:14:55,640 Speaker 1: on here when we know we have somebody who has 256 00:14:55,920 --> 00:15:01,000 Speaker 1: the answers. Lucas Shaw, Bloomberg Entertainment reporter joins us here. So, Lucas, 257 00:15:01,000 --> 00:15:02,480 Speaker 1: it seems to be a trend here is maybe some 258 00:15:02,520 --> 00:15:07,120 Speaker 1: of these aging artists really cashing out here. Yeah, you know, 259 00:15:07,240 --> 00:15:10,440 Speaker 1: they are seizing on something that that has really been 260 00:15:10,480 --> 00:15:13,720 Speaker 1: happening in the music business now for three to five years, 261 00:15:13,720 --> 00:15:16,840 Speaker 1: which is that the value of these copyrights has soared 262 00:15:16,960 --> 00:15:22,280 Speaker 1: because of streaming services which have more broadly listed industry 263 00:15:22,320 --> 00:15:25,160 Speaker 1: revenues and so and they've also made them a little 264 00:15:25,160 --> 00:15:27,600 Speaker 1: bit more stable, and so that's mein that's meant that 265 00:15:27,640 --> 00:15:30,040 Speaker 1: a lot of other investors have looked at music as 266 00:15:30,080 --> 00:15:33,600 Speaker 1: a really appealing asset after years of dismissing it frankly, 267 00:15:33,600 --> 00:15:36,760 Speaker 1: as an industry that was that was dying um and 268 00:15:36,760 --> 00:15:39,680 Speaker 1: then the pandemic only added fuel to that fire. Because 269 00:15:39,680 --> 00:15:42,040 Speaker 1: you have a lot of artists who might ordinarily be 270 00:15:42,240 --> 00:15:44,960 Speaker 1: going out on tour and making money. Instead they're stuck 271 00:15:45,000 --> 00:15:47,120 Speaker 1: at home. So they're doing a mix of, Hey, I 272 00:15:47,160 --> 00:15:49,120 Speaker 1: want some extra cash to pay for more X, Y 273 00:15:49,160 --> 00:15:52,120 Speaker 1: and Z, and maybe I'll start planning for whatever my 274 00:15:52,200 --> 00:15:54,640 Speaker 1: future is. In the case of Stevie Nicks and Bob Dylan, 275 00:15:55,280 --> 00:15:58,920 Speaker 1: who are both older in age, lucas, are they going 276 00:15:58,960 --> 00:16:02,200 Speaker 1: to get secured tied to these these securities or how 277 00:16:02,240 --> 00:16:04,240 Speaker 1: does it work? Because I could imagine that in the future, 278 00:16:04,600 --> 00:16:07,800 Speaker 1: people are going to be listening to, you know, Bob 279 00:16:07,880 --> 00:16:11,680 Speaker 1: Dylan's top you know, boots of Spanish Leather for the 280 00:16:11,760 --> 00:16:15,760 Speaker 1: next you know, centuries, but something like Dark Eyes might 281 00:16:15,880 --> 00:16:18,880 Speaker 1: get played once in a million years. Yeah, I mean 282 00:16:18,880 --> 00:16:22,200 Speaker 1: the thing so what Bob Dylan, and what Bob Dylan 283 00:16:22,280 --> 00:16:25,000 Speaker 1: told was his songwriting catalog, which can make money in 284 00:16:25,040 --> 00:16:28,240 Speaker 1: a couple of different ways. You know, songwriters get paid 285 00:16:28,360 --> 00:16:30,880 Speaker 1: if the music if a song gets listened to on 286 00:16:30,960 --> 00:16:33,280 Speaker 1: a streaming service, or if an album gets purchased, but 287 00:16:33,320 --> 00:16:35,240 Speaker 1: they also get paid if song gets played in the radio. 288 00:16:35,280 --> 00:16:37,840 Speaker 1: They also get paid if you do what use uh 289 00:16:38,000 --> 00:16:40,480 Speaker 1: perform a sync. You know, you licensed that song for 290 00:16:40,560 --> 00:16:43,440 Speaker 1: an advertisement, for a movie, for a TV show. So 291 00:16:43,520 --> 00:16:46,480 Speaker 1: people can get pretty creative with someone like Dylan as 292 00:16:46,520 --> 00:16:49,040 Speaker 1: you know, you know, people are listening to his music. 293 00:16:49,040 --> 00:16:51,880 Speaker 1: Although he's not a huge act on streaming, I'm sure 294 00:16:51,920 --> 00:16:54,440 Speaker 1: that a lot of his money also comes from licensing 295 00:16:54,440 --> 00:16:58,120 Speaker 1: it for for advertisements. Um. You know, you will have 296 00:16:58,200 --> 00:17:01,440 Speaker 1: people who will just a math enough assets that they 297 00:17:01,440 --> 00:17:04,440 Speaker 1: think it will be a kind of a consistent generator 298 00:17:04,520 --> 00:17:06,840 Speaker 1: of revenue. And we've seen that play out time and 299 00:17:06,880 --> 00:17:08,880 Speaker 1: time again in the music business. I mean there are 300 00:17:09,560 --> 00:17:12,919 Speaker 1: um you know, there are investment firms that investment in 301 00:17:12,920 --> 00:17:16,160 Speaker 1: publishing catalogs as well as more traditional music investors. It's 302 00:17:16,200 --> 00:17:20,280 Speaker 1: something that has long been seen as a relatively stable 303 00:17:20,359 --> 00:17:23,879 Speaker 1: asset and something that people go to often kind of 304 00:17:23,960 --> 00:17:26,879 Speaker 1: in times of uncertainty in the market, because even as 305 00:17:26,920 --> 00:17:29,920 Speaker 1: people are losing their jobs, they're still listening to the radio, 306 00:17:30,040 --> 00:17:33,440 Speaker 1: still listening to music Lucas you know, it's it's interesting. 307 00:17:33,480 --> 00:17:36,400 Speaker 1: I followed David Crosby on Twitter and he admitted that 308 00:17:36,480 --> 00:17:39,640 Speaker 1: basically he's going to pursue a similar type of deal 309 00:17:39,680 --> 00:17:42,480 Speaker 1: for his music because because of the pandemic, he's not 310 00:17:42,840 --> 00:17:45,320 Speaker 1: touring and that's a big source of revenue for a 311 00:17:45,359 --> 00:17:50,119 Speaker 1: lot of UM music acts and streaming doesn't pay really 312 00:17:50,160 --> 00:17:53,880 Speaker 1: anything at all too publishers and artists, do you think 313 00:17:53,880 --> 00:17:55,479 Speaker 1: we're going to see more of this maybe from some 314 00:17:55,680 --> 00:17:58,600 Speaker 1: against some aging acts who may own their catalogs. It's 315 00:17:58,600 --> 00:18:01,760 Speaker 1: a kind of a financial access that. Yeah. I think 316 00:18:01,800 --> 00:18:05,000 Speaker 1: a lot of those acts that have relied on touring 317 00:18:05,200 --> 00:18:08,080 Speaker 1: to continue to pay the bills will go this route. 318 00:18:08,400 --> 00:18:13,440 Speaker 1: As he's noted, you know, streaming has generating additional returns 319 00:18:14,040 --> 00:18:17,800 Speaker 1: for the broader industry. On an artist by artist basis, 320 00:18:17,840 --> 00:18:20,480 Speaker 1: the numbers are pretty small unless you're a Drake or 321 00:18:20,520 --> 00:18:23,359 Speaker 1: a Taylor Swift, or a Post Malone or an Ariana Grande, 322 00:18:23,440 --> 00:18:26,159 Speaker 1: especially if you're an aging act. If you're if you're 323 00:18:26,200 --> 00:18:28,320 Speaker 1: a David Crosby, chances are that a lot of your 324 00:18:28,320 --> 00:18:31,399 Speaker 1: fans are those that may still not have converted to streaming. 325 00:18:31,440 --> 00:18:34,439 Speaker 1: They're buying physical physical sales have gone off a cliff 326 00:18:34,800 --> 00:18:37,680 Speaker 1: uh during the pandemic, or you're able to get them 327 00:18:37,680 --> 00:18:39,440 Speaker 1: to go and see you perform, and you can't do 328 00:18:39,560 --> 00:18:42,200 Speaker 1: that either. So really your only source of money would 329 00:18:42,240 --> 00:18:45,000 Speaker 1: be selling your catalog or if you can get somebody to, 330 00:18:45,160 --> 00:18:47,680 Speaker 1: you know, put an old Crosby Spills Nash and Young 331 00:18:47,760 --> 00:18:50,400 Speaker 1: song on the radio. Excuse me? In the TV show 332 00:18:50,520 --> 00:18:52,639 Speaker 1: well speak you of Taylor Swift. What happens when she 333 00:18:52,680 --> 00:18:54,080 Speaker 1: gets old and wants to get rid of her is 334 00:18:54,160 --> 00:18:56,399 Speaker 1: does she have to? Does she sort of have a 335 00:18:56,400 --> 00:18:59,119 Speaker 1: bidding war between her and the private equity firms that 336 00:18:59,200 --> 00:19:03,439 Speaker 1: bought her already recorded songs? Well, so that that's again 337 00:19:03,520 --> 00:19:06,040 Speaker 1: to keep in mind what the people who just bought 338 00:19:06,080 --> 00:19:09,600 Speaker 1: her first six albums, those are the recordings and she 339 00:19:09,720 --> 00:19:13,199 Speaker 1: will own her She owns the recordings for all the 340 00:19:13,240 --> 00:19:16,159 Speaker 1: new music she's putting out. Universal distributes it, but she 341 00:19:16,280 --> 00:19:19,560 Speaker 1: ultimately owns the master's Does right pervert to her publishing? 342 00:19:19,840 --> 00:19:22,760 Speaker 1: She actually changed her publishers in the last year. She 343 00:19:22,880 --> 00:19:25,600 Speaker 1: used to be at Sony ATV she is now at Universal. 344 00:19:26,119 --> 00:19:28,040 Speaker 1: I don't know the particulars of that deal, but I 345 00:19:28,080 --> 00:19:30,960 Speaker 1: would imagine she worked out sort of more of what's 346 00:19:30,960 --> 00:19:33,840 Speaker 1: called an administration or distribution deal, where in the long run, 347 00:19:34,080 --> 00:19:36,400 Speaker 1: Taylor Swift can own her music. When you're as powerful 348 00:19:36,440 --> 00:19:38,440 Speaker 1: as Taylor Swift or in the case of Bob Dylan, 349 00:19:38,680 --> 00:19:41,760 Speaker 1: you get to demand ownership because everybody wants to work 350 00:19:41,800 --> 00:19:45,080 Speaker 1: with you. So the re recording, Lucas what what what 351 00:19:45,200 --> 00:19:48,879 Speaker 1: does that change for you know, the stream of money 352 00:19:49,480 --> 00:19:53,320 Speaker 1: with the recording her old albums. Yeah, So, because she 353 00:19:53,400 --> 00:19:58,440 Speaker 1: does not control the recording rights or the actual recordings 354 00:19:58,440 --> 00:20:00,439 Speaker 1: from her first album, what she would do is she 355 00:20:00,480 --> 00:20:03,080 Speaker 1: can control her publishing right the songs that she wrote. 356 00:20:03,560 --> 00:20:06,480 Speaker 1: She would then make new recordings based off of those 357 00:20:06,600 --> 00:20:09,399 Speaker 1: lyrics and re release it and try to make it 358 00:20:09,440 --> 00:20:11,639 Speaker 1: so that those are the songs that people play. But 359 00:20:11,720 --> 00:20:14,200 Speaker 1: what we don't know is, let's say Taylor Swift does 360 00:20:14,320 --> 00:20:17,440 Speaker 1: end up rereleasing her her first six albums in some form, 361 00:20:17,480 --> 00:20:21,320 Speaker 1: which she has talked about doing. If you're Spotify and 362 00:20:21,400 --> 00:20:24,479 Speaker 1: you're put putting together that this is Taylor Swift playlist, 363 00:20:24,560 --> 00:20:27,000 Speaker 1: which is like their equivalent of the best the greatest hits, 364 00:20:27,800 --> 00:20:30,080 Speaker 1: and you want to put one of those early Taylor 365 00:20:30,119 --> 00:20:33,560 Speaker 1: Swift songs, do you pick the one from the initial 366 00:20:33,600 --> 00:20:35,879 Speaker 1: album which is the version that everybody knows, or do 367 00:20:35,920 --> 00:20:38,200 Speaker 1: you put the re record on there if you are 368 00:20:38,240 --> 00:20:42,400 Speaker 1: putting together some curated playlists for a user who really likes, 369 00:20:42,480 --> 00:20:46,000 Speaker 1: you know, who wants to listen to kind of country 370 00:20:46,080 --> 00:20:48,920 Speaker 1: pop and that some of those early Taylor Sist songs Again, 371 00:20:49,040 --> 00:20:51,720 Speaker 1: which version and that's gonna you know, I'll be very 372 00:20:51,800 --> 00:20:55,080 Speaker 1: curious like to see what the streaming services decided to do, 373 00:20:55,400 --> 00:21:00,000 Speaker 1: because they obviously want to maintain good relations with Taylor Swift, 374 00:21:00,040 --> 00:21:02,720 Speaker 1: one of the biggest acts in the world. But there's 375 00:21:02,720 --> 00:21:05,840 Speaker 1: no telling, there's not really a precedent for fans gravitating 376 00:21:05,880 --> 00:21:09,920 Speaker 1: towards the rerecord over the original. Um So it's it's 377 00:21:09,960 --> 00:21:12,880 Speaker 1: a tricky situation and one that you know, we'll learn 378 00:21:12,920 --> 00:21:15,760 Speaker 1: a bit more about when we actually see what Taylor 379 00:21:15,760 --> 00:21:18,360 Speaker 1: Swift is doing with the rerecorded music. In the meantime, 380 00:21:18,800 --> 00:21:20,880 Speaker 1: she just put out her second album of the year 381 00:21:20,920 --> 00:21:26,440 Speaker 1: and album I was listening some of this morning, evermore 382 00:21:27,119 --> 00:21:32,280 Speaker 1: let's give her add while we're at all, right, Lucas 383 00:21:33,520 --> 00:21:35,720 Speaker 1: not note we all sort of drifted off there into 384 00:21:35,760 --> 00:21:37,560 Speaker 1: a little bit of daydreaming as we think of Taylor 385 00:21:37,640 --> 00:21:41,520 Speaker 1: Swift on the British Moor's recording music with American pop 386 00:21:41,560 --> 00:21:44,600 Speaker 1: stars and uh, you know, getting groups in like Jack 387 00:21:44,640 --> 00:21:46,159 Speaker 1: Aunt and Off and so on to make sure that 388 00:21:46,200 --> 00:21:50,439 Speaker 1: she has another hit record. And uh, Lucas, thank you 389 00:21:50,520 --> 00:21:52,639 Speaker 1: for giving us up to date. Lucas also out with 390 00:21:52,680 --> 00:21:56,600 Speaker 1: the story today about the top streamers and Ariana Grande 391 00:21:56,680 --> 00:21:59,680 Speaker 1: being the top act in the world right now, which 392 00:21:59,760 --> 00:22:03,080 Speaker 1: is fascinating read. So, Lucas, thanks for joining us, and Paul, 393 00:22:03,240 --> 00:22:07,680 Speaker 1: thank you for for indulging me in that last reverie there. 394 00:22:08,600 --> 00:22:13,919 Speaker 1: It's amazing story. The economics there, this is Bloomberg. All right. 395 00:22:14,000 --> 00:22:16,959 Speaker 1: Let's get something just a little less optimistic now, and 396 00:22:16,960 --> 00:22:20,560 Speaker 1: that is the one billion empty hotel rooms for the year. 397 00:22:20,680 --> 00:22:24,160 Speaker 1: We've been obviously looking at various numbers throughout this year. 398 00:22:24,200 --> 00:22:26,199 Speaker 1: It's been a year of numbers, and this is not 399 00:22:26,480 --> 00:22:30,000 Speaker 1: one that we enjoy talking about. But Patrick Clark is 400 00:22:30,000 --> 00:22:31,960 Speaker 1: our real estate reporter and he will talk about it 401 00:22:32,000 --> 00:22:34,800 Speaker 1: to us. Patrick, how on earth did we get here? 402 00:22:34,920 --> 00:22:38,800 Speaker 1: A billion rooms have gone unsold or practically at least 403 00:22:38,840 --> 00:22:43,240 Speaker 1: nine sixty two million through last week. Yeah, well, when 404 00:22:43,320 --> 00:22:45,920 Speaker 1: was the last time you stayed in a hotel? Good point? 405 00:22:47,440 --> 00:22:50,920 Speaker 1: You know, there's there's the conference business, which is about 406 00:22:50,920 --> 00:22:55,560 Speaker 1: a third, hotel demand is completely on ice. Um the 407 00:22:55,960 --> 00:22:59,520 Speaker 1: you know, there's very little business travel happening. And while 408 00:22:59,600 --> 00:23:02,159 Speaker 1: there are are you know, some hotels that are in 409 00:23:02,200 --> 00:23:04,280 Speaker 1: the right end of beach locations where you can drive 410 00:23:04,320 --> 00:23:08,000 Speaker 1: to them, uh from you know, from big city that 411 00:23:08,119 --> 00:23:11,720 Speaker 1: are doing okay, you know, across the board. Uh, this 412 00:23:11,800 --> 00:23:14,200 Speaker 1: is this is really been the worst year and probably 413 00:23:14,200 --> 00:23:18,360 Speaker 1: the history of the modern lodging industry. And uh when 414 00:23:18,400 --> 00:23:21,439 Speaker 1: you stack up all the empty rooms, pretty soon we 415 00:23:21,480 --> 00:23:26,800 Speaker 1: will cross, um the one billion unsold rooms. Mark Hey, pat, 416 00:23:26,800 --> 00:23:29,679 Speaker 1: when when you talk to these hotel companies, what is 417 00:23:29,720 --> 00:23:34,760 Speaker 1: there thinking as to how uh their business may recover 418 00:23:35,000 --> 00:23:38,880 Speaker 1: As we start getting vaccines into the market place, there's 419 00:23:38,880 --> 00:23:40,840 Speaker 1: a you know, expectation of a big ramp up in 420 00:23:40,880 --> 00:23:43,000 Speaker 1: the first half of the year. How are they thinking 421 00:23:43,000 --> 00:23:45,440 Speaker 1: about the timing and and you know, the back half 422 00:23:45,480 --> 00:23:48,080 Speaker 1: of this year and so on. I have to say 423 00:23:48,119 --> 00:23:52,000 Speaker 1: they're less optimistic than I am. I'm thinking about my 424 00:23:52,119 --> 00:23:54,639 Speaker 1: next vacation as soon as I get vaccinated. My family 425 00:23:54,720 --> 00:23:57,960 Speaker 1: is going to the beach. But but um, the I 426 00:23:58,440 --> 00:24:01,920 Speaker 1: think the I think there, I think hotels tend to 427 00:24:01,960 --> 00:24:04,639 Speaker 1: be more focused right now on the tough months that 428 00:24:04,720 --> 00:24:10,359 Speaker 1: they have ahead of them. Yeah, I mean the question 429 00:24:10,400 --> 00:24:13,159 Speaker 1: I have is we know that, you know, we didn't 430 00:24:13,200 --> 00:24:15,480 Speaker 1: pay to spend nights in hotels, but how many of 431 00:24:15,520 --> 00:24:18,280 Speaker 1: these rooms remained empty? How many of these hotels got 432 00:24:18,320 --> 00:24:23,439 Speaker 1: involved in schemes to rehouse homeless people for example. I 433 00:24:23,480 --> 00:24:26,280 Speaker 1: think that's been fairly marginal. I mean, I do think 434 00:24:26,440 --> 00:24:30,600 Speaker 1: there there there certainly has been a you know, a 435 00:24:30,720 --> 00:24:33,800 Speaker 1: downward drift in the types of business hotels have been 436 00:24:33,800 --> 00:24:36,719 Speaker 1: willing to take. Right. So like, if you're you know, 437 00:24:37,040 --> 00:24:41,800 Speaker 1: a business traveler who is booking the room on their 438 00:24:41,800 --> 00:24:44,560 Speaker 1: corporate credit card and not thinking a ton about the 439 00:24:44,600 --> 00:24:48,359 Speaker 1: price they pay is a good type of business. Um, 440 00:24:48,440 --> 00:24:51,000 Speaker 1: And you know, the I was just sort of more, 441 00:24:52,000 --> 00:24:54,800 Speaker 1: you know, the richer of the expense account, the better 442 00:24:54,840 --> 00:24:57,240 Speaker 1: of the business that is for the hotel um the 443 00:24:58,520 --> 00:25:01,840 Speaker 1: you know, I but I have The last time I 444 00:25:01,880 --> 00:25:03,320 Speaker 1: was in a hotel was about a month ago, and 445 00:25:03,320 --> 00:25:05,280 Speaker 1: it was a nicer hotel than I normally would have 446 00:25:05,320 --> 00:25:07,840 Speaker 1: stayed at because because it was offering a good rate. 447 00:25:07,880 --> 00:25:09,600 Speaker 1: And I got there and there was an airline crew 448 00:25:09,680 --> 00:25:12,440 Speaker 1: checking in. And you know, I think if you talked 449 00:25:12,480 --> 00:25:16,320 Speaker 1: to big hotel owners or managers, they'll tell you yeah, well, 450 00:25:16,440 --> 00:25:19,960 Speaker 1: we we are starting to take um, you know, types 451 00:25:20,000 --> 00:25:22,600 Speaker 1: of business where we have to negotiate a lower rate 452 00:25:22,680 --> 00:25:25,040 Speaker 1: than we would have otherwise. So you know, your flight 453 00:25:25,040 --> 00:25:28,040 Speaker 1: crews probably are staying at better hotels. UM. You know, 454 00:25:28,080 --> 00:25:35,600 Speaker 1: there's certainly are medical workers. There's probably some government travel. Um. 455 00:25:35,640 --> 00:25:39,040 Speaker 1: You know, even even people who normally would have sort 456 00:25:39,080 --> 00:25:43,160 Speaker 1: of recovered from uh you know, maybe like a minor 457 00:25:43,200 --> 00:25:46,080 Speaker 1: surgery or something in a U in a hospital or 458 00:25:46,080 --> 00:25:49,199 Speaker 1: instead possibly checking into a hotel thinking that, you know, 459 00:25:49,280 --> 00:25:52,040 Speaker 1: better to be outside of a hospital environment. So there's 460 00:25:52,080 --> 00:25:56,600 Speaker 1: there's there, there are bits of business available, but you know, 461 00:25:56,640 --> 00:26:00,840 Speaker 1: none of it makes up for what the hotels have lost. Well, Patrick, 462 00:26:00,880 --> 00:26:02,440 Speaker 1: I'm with you as soon as I get the shot 463 00:26:02,800 --> 00:26:05,760 Speaker 1: hopping on a plane and going somewhere, that's for sure. 464 00:26:05,800 --> 00:26:09,680 Speaker 1: Patrick Clark, real estate reporter for Bloomberg News. He joins 465 00:26:09,760 --> 00:26:11,720 Speaker 1: us on the phone from New York City, talking about 466 00:26:11,960 --> 00:26:15,439 Speaker 1: again that same very difficult situation. We're here for the 467 00:26:15,520 --> 00:26:18,879 Speaker 1: leisure and hospitality businesses, and now the question becomes for 468 00:26:18,920 --> 00:26:22,240 Speaker 1: a lot of them as vaccines get into the marketplace, 469 00:26:22,320 --> 00:26:25,480 Speaker 1: what is the patient scope of the recovery that you 470 00:26:25,480 --> 00:26:28,920 Speaker 1: can expect from an airline from a theme park from 471 00:26:28,920 --> 00:26:31,199 Speaker 1: a hotel um and I guess a lot of it 472 00:26:31,280 --> 00:26:33,920 Speaker 1: is just we'll have to wait and see, but expectations 473 00:26:33,920 --> 00:26:38,120 Speaker 1: are starting to build positively. Thanks for listening to Bloomberg 474 00:26:38,119 --> 00:26:41,560 Speaker 1: Markets podcast. You can subscribe and listen to interviews at 475 00:26:41,560 --> 00:26:45,160 Speaker 1: Apple Podcasts or whatever a podcast platform you prefer. I'm 476 00:26:45,240 --> 00:26:48,200 Speaker 1: Bonnie Quinn. I'm on Twitter at Bonny Quinn, and I'm 477 00:26:48,200 --> 00:26:51,280 Speaker 1: Paul Sweeney. I'm on Twitter at pt Sweeney. Before the podcast, 478 00:26:51,320 --> 00:26:53,840 Speaker 1: you can always catch us worldwide at Bloomberg Radio