1 00:00:01,800 --> 00:00:04,440 Speaker 1: This is Bloomberg Business Week. I'm Karl Masser and I'm 2 00:00:04,480 --> 00:00:07,280 Speaker 1: Bloomberg Quick Takes Tim Stanovk. We're here every day bringing 3 00:00:07,320 --> 00:00:09,840 Speaker 1: you the latest news from the world to business and finance, 4 00:00:09,840 --> 00:00:13,680 Speaker 1: plus technology, politics, economics, all purtnising the power of Business 5 00:00:13,680 --> 00:00:17,160 Speaker 1: Week reporters and editors not to mention our journalists and 6 00:00:17,160 --> 00:00:20,000 Speaker 1: analysts in more than one twenty countries. You can download 7 00:00:20,000 --> 00:00:23,239 Speaker 1: Bloomberg Business Week and iTunes, SoundCloud, or Bloomberg dot Com. 8 00:00:23,400 --> 00:00:25,200 Speaker 1: You can also listen to our radio show at two 9 00:00:25,200 --> 00:00:27,760 Speaker 1: pm Eastern Time on the Bloomberg Radio or watch us 10 00:00:27,760 --> 00:00:31,440 Speaker 1: on YouTube search Bloomberg Global News. A lot to get through, 11 00:00:31,680 --> 00:00:34,200 Speaker 1: Tim and I just talking about Michelle A. Cortez who's 12 00:00:34,200 --> 00:00:36,000 Speaker 1: got this story about the world may never reach herd 13 00:00:36,000 --> 00:00:39,200 Speaker 1: immunity against COVID. Meantime, New York cities, museums and cultural 14 00:00:39,200 --> 00:00:42,040 Speaker 1: institutions they're going to require visitors and staff to be vaccinated. 15 00:00:42,040 --> 00:00:45,280 Speaker 1: We got that from Mayor Bill de Blasio. Uh. And 16 00:00:45,320 --> 00:00:47,400 Speaker 1: then we've got fives from BioNTech saying they have submitted 17 00:00:47,440 --> 00:00:50,440 Speaker 1: tim phase one trial data to the US FDA for 18 00:00:50,560 --> 00:00:53,040 Speaker 1: third dose of their COVID nineteen vaccine. There's a lot 19 00:00:53,120 --> 00:00:55,240 Speaker 1: still going on. Yeah, they're showing that a third dose 20 00:00:55,280 --> 00:00:57,840 Speaker 1: of the vaccine led to higher levels of protective antibodies 21 00:00:57,880 --> 00:01:00,880 Speaker 1: when given eight to nine months after the original regiment. 22 00:01:01,160 --> 00:01:03,800 Speaker 1: Let's get right to it with Dr Tom McGinn, executive 23 00:01:03,840 --> 00:01:07,080 Speaker 1: vice president at Common Spirit Health. Common Spirit Health has 24 00:01:07,080 --> 00:01:09,920 Speaker 1: a hundred forty hospitals and more than one thousand care 25 00:01:09,959 --> 00:01:13,840 Speaker 1: sites across twenty one different states. Dr McGinn, it's it's 26 00:01:13,880 --> 00:01:15,400 Speaker 1: great to have you on the show. Give us an 27 00:01:15,480 --> 00:01:19,319 Speaker 1: update about what you're seeing in Common Spirit Health hospitals 28 00:01:19,400 --> 00:01:22,080 Speaker 1: right now. What's what's what's the what's the view on 29 00:01:22,120 --> 00:01:25,720 Speaker 1: the ground. Thanks Tim, and thanks Charlos, thanks for having 30 00:01:25,800 --> 00:01:28,399 Speaker 1: us having me on. Well, the view on the ground 31 00:01:28,600 --> 00:01:31,680 Speaker 1: is that we are seeing as no actual you know, 32 00:01:31,760 --> 00:01:34,240 Speaker 1: new news to you is that we're seeing a resurgence 33 00:01:34,560 --> 00:01:38,640 Speaker 1: in our hospitals in almost every market now. Uh. You know, 34 00:01:38,680 --> 00:01:41,039 Speaker 1: it was isolated, you know, in some of our regions 35 00:01:41,040 --> 00:01:43,319 Speaker 1: in the Southeast and Texas, but now we're seeing it 36 00:01:43,440 --> 00:01:47,040 Speaker 1: in the Northwest. Our hospitals are reaching you know, some 37 00:01:47,040 --> 00:01:50,080 Speaker 1: some real critical moments, but I think we're managing it well. 38 00:01:50,320 --> 00:01:54,360 Speaker 1: But we're now seeing pockets in California, in all of 39 00:01:54,400 --> 00:01:58,040 Speaker 1: the southeast in all of the Texas area, and now 40 00:01:58,080 --> 00:02:01,560 Speaker 1: we're seeing it in the Pacific Northwest. So you know, 41 00:02:01,680 --> 00:02:04,760 Speaker 1: we are controlling it, we're managing it, we're you know, 42 00:02:04,800 --> 00:02:07,520 Speaker 1: we're a lot more nimble. We have a lot more 43 00:02:07,520 --> 00:02:09,840 Speaker 1: algorithms and treatments that we can offer folks as they 44 00:02:09,880 --> 00:02:13,800 Speaker 1: come to the hospital. This is fundamentally a hospitalization of 45 00:02:13,840 --> 00:02:18,880 Speaker 1: the unvaccinated. While about ten percent are vaccinated, many of 46 00:02:18,880 --> 00:02:23,560 Speaker 1: those folks are folks with underlying medical conditions and things 47 00:02:23,560 --> 00:02:25,520 Speaker 1: to that effect. So really, what we're seeing in the 48 00:02:25,560 --> 00:02:30,160 Speaker 1: severe cases is a resurgence across the board of the unvaccinated. 49 00:02:30,320 --> 00:02:31,880 Speaker 1: So let me make sure we have this right because 50 00:02:31,919 --> 00:02:35,320 Speaker 1: data is really important here. Of the hospitalization is roughly 51 00:02:35,360 --> 00:02:38,280 Speaker 1: that you're seeing in your hospitals across the country. Those 52 00:02:38,320 --> 00:02:42,160 Speaker 1: are people who have not been vaccinated approximately. I mean, 53 00:02:42,200 --> 00:02:44,400 Speaker 1: it could vary from seven to fifteen or seven to 54 00:02:44,440 --> 00:02:48,239 Speaker 1: twelve percent, But fundamentally, I just said, let's for simplicity sake, 55 00:02:48,320 --> 00:02:52,560 Speaker 1: let's say, are they younger, are they older? Who are they? 56 00:02:52,560 --> 00:02:56,560 Speaker 1: What are the demographics? Well, you know they are the 57 00:02:56,600 --> 00:02:59,960 Speaker 1: hospitalization rates are much higher. The numbers are a little tricky. 58 00:03:00,000 --> 00:03:03,400 Speaker 1: We're seeing an uptick from baseline of the young folks, 59 00:03:03,520 --> 00:03:09,120 Speaker 1: it's increase of those getting hospitalized who are young in children, 60 00:03:09,160 --> 00:03:12,080 Speaker 1: but however, the baseline was very low. Still, the vast 61 00:03:12,080 --> 00:03:16,160 Speaker 1: majority of folks are older. Um many of them are, 62 00:03:16,240 --> 00:03:19,000 Speaker 1: you know, with chronic illnesses, the diabetes, the hypertension, all 63 00:03:19,080 --> 00:03:22,800 Speaker 1: the things that we learned. I was in New York 64 00:03:22,800 --> 00:03:25,400 Speaker 1: for the beginning of this phase of the pandemic and 65 00:03:25,400 --> 00:03:28,200 Speaker 1: did a lot of work on the early predictors of 66 00:03:28,200 --> 00:03:30,880 Speaker 1: who would have severe COVID. So it's that story still 67 00:03:30,880 --> 00:03:33,640 Speaker 1: plays itself out. What we're seeing is an uptick of 68 00:03:33,680 --> 00:03:38,800 Speaker 1: hospitalizations among young people, no question. We spoke earlier about 69 00:03:38,840 --> 00:03:41,880 Speaker 1: the fact that vaccines still aren't available as we go 70 00:03:41,920 --> 00:03:45,160 Speaker 1: back to school around the country to people who are 71 00:03:45,240 --> 00:03:48,360 Speaker 1: under the age of twelve, what's what's the best way 72 00:03:48,880 --> 00:03:52,240 Speaker 1: for those young kids to stay safe, the best way 73 00:03:52,240 --> 00:03:54,440 Speaker 1: for parents to think about risk factors and are we 74 00:03:54,520 --> 00:03:58,480 Speaker 1: seeing different data play out with younger people under the 75 00:03:58,520 --> 00:04:02,240 Speaker 1: age of twelves. We can't be vaccinated, so you know, 76 00:04:02,360 --> 00:04:04,800 Speaker 1: this is the real challenge. I I heard you speak earlier, 77 00:04:04,800 --> 00:04:07,360 Speaker 1: and I'm in agreement that we need to get the 78 00:04:07,400 --> 00:04:09,360 Speaker 1: kids back in the schools and I'm working with several 79 00:04:09,400 --> 00:04:11,920 Speaker 1: schools across the country, and I think we need to 80 00:04:12,000 --> 00:04:14,880 Speaker 1: just good old fashion and now what we call old 81 00:04:14,880 --> 00:04:20,160 Speaker 1: fashioned methods of mask wearing, social distancing, um, you know, handwashing, 82 00:04:20,240 --> 00:04:23,320 Speaker 1: all the things that we did uh early in that pandemic. 83 00:04:23,360 --> 00:04:26,400 Speaker 1: But having kids in the classroom, I think that you know, 84 00:04:26,480 --> 00:04:29,680 Speaker 1: we can get through this if we continue to follow 85 00:04:29,720 --> 00:04:33,360 Speaker 1: the basic rules of engagement around mask wearing, that that 86 00:04:33,400 --> 00:04:35,320 Speaker 1: really is going to be the key to success as 87 00:04:35,360 --> 00:04:37,880 Speaker 1: we go back into schools. I think as you and 88 00:04:37,920 --> 00:04:40,200 Speaker 1: I talked about this, and as a primary care physician, 89 00:04:40,839 --> 00:04:43,839 Speaker 1: I can see the stress, the anxiety, and all the 90 00:04:43,920 --> 00:04:47,800 Speaker 1: issues that we're creating by not going back to school. 91 00:04:48,240 --> 00:04:51,559 Speaker 1: So I really think we all need to just face 92 00:04:51,600 --> 00:04:54,120 Speaker 1: the facts. Kids are gonna need to wear masks if 93 00:04:54,120 --> 00:04:57,000 Speaker 1: they're unvaccinated, which they are, and we're gonna have to 94 00:04:57,000 --> 00:04:59,880 Speaker 1: do a lot of the same social distancing and careful 95 00:05:00,560 --> 00:05:03,200 Speaker 1: uh you know approach to this as we move into 96 00:05:03,200 --> 00:05:05,760 Speaker 1: the fall. And I also just want to mention that 97 00:05:05,920 --> 00:05:09,720 Speaker 1: this fall and excuse me, no, no, no, sorry, Carol, 98 00:05:09,760 --> 00:05:11,280 Speaker 1: I think that one thing we have to think about, 99 00:05:11,360 --> 00:05:15,800 Speaker 1: and I'm preparing for this across Common Spirit is the sniffles. Okay, 100 00:05:15,880 --> 00:05:19,320 Speaker 1: we are coming into what will likely be a regular 101 00:05:19,839 --> 00:05:22,520 Speaker 1: cold season, whether or not the flu. Remember, the flu 102 00:05:22,640 --> 00:05:25,320 Speaker 1: and the cold are two separate things. We've seen an 103 00:05:25,360 --> 00:05:28,039 Speaker 1: uptick in RSD virus, which is a specific virus that 104 00:05:28,160 --> 00:05:31,800 Speaker 1: is a harbinger for common colds. So we're anticipating a 105 00:05:31,839 --> 00:05:35,080 Speaker 1: lot of colds and sniffles mixed in with the potential flu, 106 00:05:35,240 --> 00:05:38,360 Speaker 1: mixed in with the potential covid. So how do we 107 00:05:38,400 --> 00:05:41,320 Speaker 1: test for that? How do we carefully, you know, manage 108 00:05:41,360 --> 00:05:44,159 Speaker 1: that situation is something we are all preparing for right now. 109 00:05:44,720 --> 00:05:46,919 Speaker 1: So I just wanted to put that into think of 110 00:05:46,960 --> 00:05:49,320 Speaker 1: the child showing up at school with the runny nose, 111 00:05:49,360 --> 00:05:52,080 Speaker 1: wiping their nose in the middle of the fall. What 112 00:05:52,160 --> 00:05:54,159 Speaker 1: does that mean? How do we manage that and that 113 00:05:54,200 --> 00:05:56,200 Speaker 1: stuff we were all trying to figure out. Now you 114 00:05:56,279 --> 00:06:00,920 Speaker 1: call it a twin demic or potentially a twin demic season, correct, Yeah, 115 00:06:01,520 --> 00:06:03,839 Speaker 1: I think that, you know, we you know, we could 116 00:06:03,920 --> 00:06:07,720 Speaker 1: see if influenza comes up, we will see that will 117 00:06:07,760 --> 00:06:10,719 Speaker 1: be a stress on our hospitals. But I think even 118 00:06:10,760 --> 00:06:14,159 Speaker 1: beyond flu, I mean people very confused. I thought, oh 119 00:06:14,160 --> 00:06:16,160 Speaker 1: I had a bad flu, what they really means sometimes 120 00:06:16,160 --> 00:06:19,760 Speaker 1: I had a bad cold, and a cold can mask 121 00:06:19,839 --> 00:06:22,880 Speaker 1: and look a little bit like mild COVID. So how 122 00:06:22,920 --> 00:06:25,960 Speaker 1: are we going to distinguish that? Um, So we need 123 00:06:26,000 --> 00:06:29,960 Speaker 1: to really ramp up our testing strategies, particularly in primary 124 00:06:29,960 --> 00:06:33,200 Speaker 1: care sites, our strategies that are schools, you know, all 125 00:06:33,240 --> 00:06:35,520 Speaker 1: across the country. Do we have the equipment, Do we 126 00:06:35,520 --> 00:06:39,080 Speaker 1: have the supplies to do all that right? And that 127 00:06:39,160 --> 00:06:41,400 Speaker 1: stuff that we're all working on. Hey, sit tight for 128 00:06:41,400 --> 00:06:43,480 Speaker 1: a second, um, Dr McGain, We're going to come back 129 00:06:43,520 --> 00:06:45,560 Speaker 1: and continue the conversation. I also do wonder if we 130 00:06:45,640 --> 00:06:50,520 Speaker 1: just put masks on again to him down. Many companies 131 00:06:50,600 --> 00:06:52,640 Speaker 1: doing it right now. You have many companies saying wait 132 00:06:52,680 --> 00:06:54,960 Speaker 1: a second, even if you're fully vaccinated, if you're coming 133 00:06:55,000 --> 00:06:58,000 Speaker 1: back to work, uh, you have to wear a mask again, right, 134 00:06:58,279 --> 00:07:01,360 Speaker 1: and that'll keep hopefully maybe cold to own regular flu down, 135 00:07:01,600 --> 00:07:03,680 Speaker 1: keep it all down. Yeah. I mean, it doesn't matter 136 00:07:03,720 --> 00:07:05,040 Speaker 1: if it's a small bike shop. I was in one 137 00:07:05,080 --> 00:07:08,120 Speaker 1: yesterday where they're requiring employees to be vaccinated and wear masks, 138 00:07:08,360 --> 00:07:09,880 Speaker 1: or one of the big banks that announced in the 139 00:07:09,920 --> 00:07:11,920 Speaker 1: last couple of weeks, even if you're vaccinated, wear that mask. 140 00:07:11,960 --> 00:07:14,080 Speaker 1: All right. We're gonna come back to Dr Tom McGain 141 00:07:14,160 --> 00:07:17,160 Speaker 1: he's executive ep a physician enterprise of at Common Spirit Health. 142 00:07:17,320 --> 00:07:20,440 Speaker 1: Will continue right here on Bloomberg Radio. Let's get right 143 00:07:20,480 --> 00:07:22,679 Speaker 1: back to it with Dr Tom McGain, executive vice president 144 00:07:22,880 --> 00:07:25,040 Speaker 1: at Common Spirit Health. He joins us on the phone 145 00:07:25,040 --> 00:07:27,400 Speaker 1: from here in New York, a dark Common Spirit Health 146 00:07:27,440 --> 00:07:29,800 Speaker 1: operates a hundred and forty hospitals and more than one 147 00:07:29,800 --> 00:07:33,880 Speaker 1: thousand care sites, this across twenty one states. Dr Dr 148 00:07:33,960 --> 00:07:38,280 Speaker 1: McGinn um. I want to have a realistic, uh idea 149 00:07:38,920 --> 00:07:41,160 Speaker 1: of how we're going to be living with COVID for 150 00:07:41,200 --> 00:07:43,760 Speaker 1: the rest of our lives. Is this is this something 151 00:07:43,760 --> 00:07:46,960 Speaker 1: that we get inoculated against each and every year, like 152 00:07:46,960 --> 00:07:51,360 Speaker 1: the flu, and it fades into the background. Yeah, well, 153 00:07:51,640 --> 00:07:54,560 Speaker 1: you know, I think obviously we will learn, but I 154 00:07:54,600 --> 00:07:57,640 Speaker 1: do feel that's where we're heading. I think that as 155 00:07:57,720 --> 00:08:00,920 Speaker 1: we increase our vaccination rates, as we look the variants 156 00:08:00,960 --> 00:08:04,640 Speaker 1: and we adjust, uh you know, these vaccines, that we 157 00:08:04,680 --> 00:08:07,760 Speaker 1: will end up learning to live with COVID, just as 158 00:08:07,760 --> 00:08:10,920 Speaker 1: we learned to live with influenza. But we we are 159 00:08:10,960 --> 00:08:12,640 Speaker 1: getting better at this, I don't you know. I think 160 00:08:12,680 --> 00:08:14,200 Speaker 1: a lot of us can get caught up in in 161 00:08:14,280 --> 00:08:15,960 Speaker 1: sort of this is never going to go away. But 162 00:08:16,000 --> 00:08:18,960 Speaker 1: we are managing it. We are learning more every day 163 00:08:19,040 --> 00:08:21,160 Speaker 1: and I think when this servige goes down, we will 164 00:08:21,200 --> 00:08:23,560 Speaker 1: continue to be prepared for it and if we need 165 00:08:23,600 --> 00:08:28,320 Speaker 1: to live with it, we will learn to live with it. Right. 166 00:08:28,320 --> 00:08:31,000 Speaker 1: As our synthir Coon wrote for Business Week last week, 167 00:08:31,040 --> 00:08:34,600 Speaker 1: we talked about it on Friday. The vaccine, folks, it works. 168 00:08:35,640 --> 00:08:37,800 Speaker 1: You know, we need to be reminded with all of 169 00:08:37,840 --> 00:08:41,520 Speaker 1: these you know worry where some headlines that the vaccine 170 00:08:41,559 --> 00:08:45,400 Speaker 1: it actually works. Having said that, um Dr McGinn. Do 171 00:08:45,440 --> 00:08:47,760 Speaker 1: we need to be smart because as you said, you 172 00:08:47,800 --> 00:08:50,440 Speaker 1: know we're going to be dealing with colds and the 173 00:08:50,559 --> 00:08:54,280 Speaker 1: regular flu and COVID come fall that by wearing a 174 00:08:54,360 --> 00:08:58,280 Speaker 1: max mask excuse me, can we mitigate much of the 175 00:08:58,360 --> 00:09:03,360 Speaker 1: risk from those three? Well? It was amazing fall last year, 176 00:09:03,480 --> 00:09:05,760 Speaker 1: wasn't it? The fact that we saw almost no flu. 177 00:09:06,040 --> 00:09:07,840 Speaker 1: I mean many of us reflect back, Wait a minute, 178 00:09:07,840 --> 00:09:09,480 Speaker 1: I didn't really have a cold lest floor. How does 179 00:09:09,520 --> 00:09:12,200 Speaker 1: that happen? Uh? You know? And I think a lot 180 00:09:12,240 --> 00:09:14,840 Speaker 1: of it came from the mask wearing, the social distancing, 181 00:09:15,000 --> 00:09:17,800 Speaker 1: and I think as we go back to school again, 182 00:09:17,880 --> 00:09:21,160 Speaker 1: I you know, I don't I'm avoiding the whole discussion 183 00:09:21,240 --> 00:09:24,600 Speaker 1: of the political mandate of a mask, But it really 184 00:09:24,640 --> 00:09:28,200 Speaker 1: will get these kids through a false season that I 185 00:09:28,240 --> 00:09:30,960 Speaker 1: guarantee will be complex, and we are preparing for it 186 00:09:31,000 --> 00:09:33,680 Speaker 1: and we'll manage it. But I do think the mask 187 00:09:33,760 --> 00:09:36,800 Speaker 1: will reduce cold costs, flues and COVID, so it will 188 00:09:36,880 --> 00:09:39,920 Speaker 1: have a multiple effects that will be positive. It's hard 189 00:09:39,920 --> 00:09:41,200 Speaker 1: to think about this as the parent of a two 190 00:09:41,240 --> 00:09:42,840 Speaker 1: and a half year old though, as I am, because 191 00:09:43,240 --> 00:09:45,280 Speaker 1: you know, he wears a mask for five minutes and 192 00:09:45,640 --> 00:09:48,120 Speaker 1: you know he's been he's been like chewing on it 193 00:09:48,320 --> 00:09:50,640 Speaker 1: versus a nine year old who could totally keep a 194 00:09:50,679 --> 00:09:54,360 Speaker 1: mask on when when inside. So how do you make 195 00:09:54,400 --> 00:09:57,240 Speaker 1: sense of that? No, Well, first of all, I have 196 00:09:57,320 --> 00:09:59,240 Speaker 1: to say, you know, ChIL John, I have you know 197 00:09:59,240 --> 00:10:02,000 Speaker 1: two girls there older now their college age, and so 198 00:10:02,080 --> 00:10:05,640 Speaker 1: that has its own inherent issues. But I I'm amazed 199 00:10:05,679 --> 00:10:08,120 Speaker 1: as I work with many schools and watch kids walk 200 00:10:08,160 --> 00:10:10,600 Speaker 1: around Manhattan with their masks on. Now as you get 201 00:10:10,600 --> 00:10:13,240 Speaker 1: below you know, three years old, it gets complicated and 202 00:10:13,280 --> 00:10:14,719 Speaker 1: you do the best you can. I mean all we're 203 00:10:14,720 --> 00:10:17,040 Speaker 1: asking people to do. Let's do the best you can. 204 00:10:17,240 --> 00:10:19,319 Speaker 1: You know, this is not you know, something where we're 205 00:10:19,320 --> 00:10:20,920 Speaker 1: going to force people to do things. You do the 206 00:10:20,960 --> 00:10:23,400 Speaker 1: best you can under the circumstances. Try to put the 207 00:10:23,440 --> 00:10:25,800 Speaker 1: mask on, try to be socially distant, try to be 208 00:10:25,840 --> 00:10:28,880 Speaker 1: smart about it. On our side, on the public health side, 209 00:10:28,880 --> 00:10:31,000 Speaker 1: on the health system side. You know, we're a common 210 00:10:31,040 --> 00:10:34,360 Speaker 1: spirit dedicated to provide care and test and treat and 211 00:10:34,440 --> 00:10:38,920 Speaker 1: vaccinate in every community throughout this very diverse country that 212 00:10:38,960 --> 00:10:41,200 Speaker 1: we live in. And that's our job to figure out, 213 00:10:41,400 --> 00:10:43,719 Speaker 1: how do we test these kids when they have the sniffles, 214 00:10:43,920 --> 00:10:47,040 Speaker 1: how do we get them easy access to vaccinations when 215 00:10:47,040 --> 00:10:49,160 Speaker 1: they're available for the young kids, which I hope will 216 00:10:49,200 --> 00:10:52,040 Speaker 1: becoming sometime late in the fall, maybe early next year. 217 00:10:52,840 --> 00:10:54,400 Speaker 1: But you know, you do the best you can with 218 00:10:54,440 --> 00:10:58,439 Speaker 1: the mask and all of those efforts mitigate every little 219 00:10:58,480 --> 00:11:01,679 Speaker 1: thing we do mitigates that's bread by a little bit. Well, 220 00:11:01,800 --> 00:11:04,680 Speaker 1: that's helpful when you edit up hey just quickly thirty seconds. 221 00:11:04,720 --> 00:11:07,480 Speaker 1: Do you anticipate that in terms of an additional booster 222 00:11:07,600 --> 00:11:09,720 Speaker 1: for the general public, Does that happen before the end 223 00:11:09,760 --> 00:11:14,160 Speaker 1: of the year. I do think we're going to see 224 00:11:14,200 --> 00:11:16,560 Speaker 1: that and come out in a process that we just 225 00:11:16,600 --> 00:11:19,200 Speaker 1: saw some folks who are mean compromise. I would assume 226 00:11:19,240 --> 00:11:22,840 Speaker 1: healthcare workers sometime soon we started hearing. Hey, they were 227 00:11:22,840 --> 00:11:24,720 Speaker 1: the first ones back then, they're on the front lines. 228 00:11:24,800 --> 00:11:26,280 Speaker 1: Do we give them the booster. I think it's going 229 00:11:26,360 --> 00:11:30,120 Speaker 1: to roll itself out gradually over time. Absolutely. Hey, listen, 230 00:11:30,160 --> 00:11:32,080 Speaker 1: thank you so much. Really appreciate it, and I hope 231 00:11:32,120 --> 00:11:34,360 Speaker 1: we can get you back real soon. Dr Tom Again, 232 00:11:34,760 --> 00:11:37,560 Speaker 1: Executive Vice President Common Spirit Health, on the phone from 233 00:11:37,559 --> 00:11:40,360 Speaker 1: New York City. Are you going back to some of 234 00:11:40,400 --> 00:11:43,800 Speaker 1: the stuff that we were doing before we got the vaccine? Um, yes, 235 00:11:43,880 --> 00:11:46,240 Speaker 1: I am. I'm wearing a mask now in source. You know, 236 00:11:46,280 --> 00:11:47,640 Speaker 1: I was to the point where I would go and 237 00:11:47,640 --> 00:11:49,720 Speaker 1: pick up food and go to the I was always 238 00:11:49,720 --> 00:11:51,280 Speaker 1: wearing the grocer in the grocery store, I was wearing 239 00:11:51,320 --> 00:11:53,000 Speaker 1: a mask. But yeah, even around here in the office. 240 00:11:53,040 --> 00:11:56,400 Speaker 1: Public transportation, oh yeah, I'm still taking public transit, but 241 00:11:56,440 --> 00:11:59,040 Speaker 1: I'm wearing a mask. You have to yeah, no, yeah, 242 00:11:59,120 --> 00:12:02,280 Speaker 1: you don't have to. I would. This is Bloomberg Business 243 00:12:02,320 --> 00:12:06,080 Speaker 1: Week with Carol Masser and Bloomberg Quick Takes Tim Stinovic 244 00:12:06,559 --> 00:12:09,400 Speaker 1: on Bloomberg Radio. So I see it, I hear about it. 245 00:12:09,440 --> 00:12:11,720 Speaker 1: We know what's happening that despite some of the slowdowns 246 00:12:11,760 --> 00:12:14,280 Speaker 1: in an office reopenings because of the delta variant. There 247 00:12:14,280 --> 00:12:17,040 Speaker 1: are still tim a lot of us back in the office, 248 00:12:17,080 --> 00:12:19,800 Speaker 1: and yet for a certain subset of the workforce, they're 249 00:12:19,840 --> 00:12:22,360 Speaker 1: clearly staying at home. Justin Fox is a columnist for 250 00:12:22,480 --> 00:12:25,680 Speaker 1: Bloomberg Opinion. He writes about it in the upcoming issue 251 00:12:25,720 --> 00:12:28,040 Speaker 1: of Bloomberg Business Week magazine. You can read it now 252 00:12:28,360 --> 00:12:31,440 Speaker 1: at Bloomberg and at bloomberg dot com slash business Week. 253 00:12:31,520 --> 00:12:35,760 Speaker 1: So Justin who as people some reluctantly go back to 254 00:12:35,800 --> 00:12:39,640 Speaker 1: the office, UM State Street employees, notwithstanding, we should know, 255 00:12:39,880 --> 00:12:43,120 Speaker 1: correct in New York, I should say, who's staying home? 256 00:12:43,200 --> 00:12:45,920 Speaker 1: What did you What does the data tell you? UMS? 257 00:12:46,679 --> 00:12:50,960 Speaker 1: The group that is most stuck at home is UM 258 00:12:51,080 --> 00:12:56,640 Speaker 1: people in computer and mathematical operations, which is basically software engineers, 259 00:12:57,240 --> 00:13:00,760 Speaker 1: data analysts, that whole world. And it's on level. We 260 00:13:00,880 --> 00:13:04,040 Speaker 1: know this because it's the Silicon Valley companies, the tech 261 00:13:04,080 --> 00:13:07,120 Speaker 1: companies that are sort of being the slowest to come back. 262 00:13:07,520 --> 00:13:10,040 Speaker 1: But these people aren't just working in tech companies. They're 263 00:13:10,040 --> 00:13:12,360 Speaker 1: at all different kinds of companies, and it just seems 264 00:13:12,440 --> 00:13:16,120 Speaker 1: like more than any else, it's it's as of July 265 00:13:17,880 --> 00:13:21,400 Speaker 1: of them reported that they were still working remotely at 266 00:13:21,440 --> 00:13:23,760 Speaker 1: least part of the time because of the pandemic. But 267 00:13:23,840 --> 00:13:26,959 Speaker 1: that doesn't reflect people who were already working remotely before 268 00:13:26,960 --> 00:13:30,400 Speaker 1: the pandemic. Or you hear a lot about, especially in tech, 269 00:13:30,720 --> 00:13:34,160 Speaker 1: people getting hired completely remotely. Now. I don't know if 270 00:13:34,200 --> 00:13:37,079 Speaker 1: they get asked by the Census Bureau whether they're working 271 00:13:37,080 --> 00:13:39,559 Speaker 1: at home because of the pandemic, they may say, no, 272 00:13:39,600 --> 00:13:41,920 Speaker 1: I'm just working at home, dude, Right, that's how I 273 00:13:42,000 --> 00:13:44,280 Speaker 1: was hired. Hey, Jill Weber's with us of course, editor 274 00:13:44,320 --> 00:13:47,560 Speaker 1: of Bloomberg business Week magazine, and Joe it is, you know, 275 00:13:47,640 --> 00:13:50,200 Speaker 1: interesting on a daily basis, we are kind of parsing 276 00:13:50,200 --> 00:13:52,560 Speaker 1: out what's going on, who's coming back to work, who is, 277 00:13:52,559 --> 00:13:55,559 Speaker 1: and who can go back to work who can't? Uh, 278 00:13:55,600 --> 00:13:59,120 Speaker 1: And love that you guys are highlighting this. Well. When 279 00:13:59,160 --> 00:14:03,080 Speaker 1: I saw um Justin's draft, it reminded me of the 280 00:14:03,200 --> 00:14:07,360 Speaker 1: ending of Point Break. Uh and if you can place that, 281 00:14:07,480 --> 00:14:10,480 Speaker 1: the quote is he's not coming back, And that was 282 00:14:10,520 --> 00:14:14,640 Speaker 1: totally how I felt about exactly. Oh, you've come out 283 00:14:14,640 --> 00:14:20,720 Speaker 1: of you and watched Point Break. You know, you're just justin. 284 00:14:20,760 --> 00:14:23,320 Speaker 1: It's a fantastic one. Oh man, I just want to 285 00:14:23,360 --> 00:14:26,640 Speaker 1: slap you from here. So you need to be in 286 00:14:26,680 --> 00:14:32,160 Speaker 1: the office, dude, the virtual slap. I think that the 287 00:14:32,200 --> 00:14:36,360 Speaker 1: story revealed to me again, but there are certain workers 288 00:14:36,560 --> 00:14:39,920 Speaker 1: and certain career paths that have ended up kind of 289 00:14:39,920 --> 00:14:42,280 Speaker 1: being able to rise above the fraight. So to me, 290 00:14:42,480 --> 00:14:44,200 Speaker 1: as much as anything, this is a story about this 291 00:14:44,640 --> 00:14:48,600 Speaker 1: wealth inequality and wealth disparity because obviously these are high 292 00:14:48,640 --> 00:14:51,480 Speaker 1: paying jobs right justin yeah, I mean that's part of it. 293 00:14:51,600 --> 00:14:54,840 Speaker 1: And more broadly, you know, white collar workers have been 294 00:14:54,840 --> 00:14:58,720 Speaker 1: more able to work remotely than everybody else. But it 295 00:14:58,800 --> 00:15:01,720 Speaker 1: seems like with this p particular group, yes, they're highly paid, 296 00:15:01,760 --> 00:15:03,880 Speaker 1: but it's also just kind of the way they do 297 00:15:03,960 --> 00:15:08,120 Speaker 1: their work has even before the pandemic, been getting increasingly 298 00:15:08,160 --> 00:15:11,200 Speaker 1: sort of distributed, and lots of times when there's any 299 00:15:11,240 --> 00:15:14,480 Speaker 1: big sort of software related project, there are teams all 300 00:15:14,520 --> 00:15:17,200 Speaker 1: over the world working on it. There's already been a 301 00:15:17,240 --> 00:15:21,360 Speaker 1: lot of outsourcing to freelance workers all over the place. 302 00:15:21,400 --> 00:15:22,960 Speaker 1: So it just sort of feels like this is a 303 00:15:23,000 --> 00:15:28,120 Speaker 1: particular area where you know, the default going forward maybe 304 00:15:28,120 --> 00:15:30,280 Speaker 1: doing it remotely. Well, we were talking with the CEO 305 00:15:30,280 --> 00:15:32,760 Speaker 1: of Mozilla to who said, we've been doing this for years, 306 00:15:32,840 --> 00:15:35,960 Speaker 1: like this isn't new to us, but increasingly as every 307 00:15:36,000 --> 00:15:38,640 Speaker 1: company we're a high tech company, where a media company, 308 00:15:38,680 --> 00:15:42,000 Speaker 1: but where a lot more than that obviously, But each company, 309 00:15:42,480 --> 00:15:45,720 Speaker 1: UM justin often has a huge tech component to it. 310 00:15:45,720 --> 00:15:47,560 Speaker 1: They've got a lot of software engineers, people who are 311 00:15:47,600 --> 00:15:50,440 Speaker 1: writing code for one reason or another. Pick your industry, 312 00:15:50,440 --> 00:15:53,440 Speaker 1: pick your company. Yeah, No, it's spread all over the place. 313 00:15:53,480 --> 00:15:57,760 Speaker 1: I mean, the BLS does this annual sort of accounting 314 00:15:57,800 --> 00:16:01,960 Speaker 1: of where people in every pretty arrow occupation, UM, what 315 00:16:02,120 --> 00:16:04,160 Speaker 1: industries they work in. And so I was going through 316 00:16:04,200 --> 00:16:07,560 Speaker 1: the list for computer and mathematical operations and I think 317 00:16:07,560 --> 00:16:12,720 Speaker 1: I found like a Mason reconstruction doesn't have any UM, 318 00:16:12,760 --> 00:16:16,760 Speaker 1: but bars. There were fifty of them listed as working 319 00:16:16,880 --> 00:16:19,840 Speaker 1: in the bar industry can conclude, you know, like a 320 00:16:19,920 --> 00:16:22,640 Speaker 1: chain of bars or something. Aren't many of those shipping 321 00:16:22,640 --> 00:16:26,480 Speaker 1: liquor to all of us at home exactly? So it's yeah, 322 00:16:26,520 --> 00:16:28,400 Speaker 1: it's all over the place. And you know, obviously that 323 00:16:28,440 --> 00:16:32,240 Speaker 1: will differ by industry. Some industries, you know, another oil 324 00:16:32,280 --> 00:16:36,479 Speaker 1: and gas industry has tons of UM computer and mathematical occupations. 325 00:16:36,760 --> 00:16:39,320 Speaker 1: It's going to vary by industry how much they stay 326 00:16:39,320 --> 00:16:42,040 Speaker 1: at home. But I just feel like that particular kind 327 00:16:42,040 --> 00:16:44,720 Speaker 1: of work is going beyond where a lot of the 328 00:16:44,760 --> 00:16:47,840 Speaker 1: other things that what color people do are going. Okay, 329 00:16:47,880 --> 00:16:50,160 Speaker 1: justin help us think through some implications of this. Does 330 00:16:50,160 --> 00:16:53,320 Speaker 1: it Does it mean that companies will save money by 331 00:16:53,440 --> 00:16:55,680 Speaker 1: having to pay employees who don't live in the Bay 332 00:16:55,720 --> 00:16:58,640 Speaker 1: Area or in Los Angeles or New York as much money? 333 00:16:58,680 --> 00:17:01,880 Speaker 1: Does it mean that, you know, so called in putting 334 00:17:01,880 --> 00:17:04,560 Speaker 1: this in quotes and air quotes, the second tier, third 335 00:17:04,600 --> 00:17:07,560 Speaker 1: tier cities are going to see some sort of resurgence 336 00:17:07,800 --> 00:17:10,639 Speaker 1: because you're gonna have people moving there because the quality 337 00:17:10,640 --> 00:17:13,520 Speaker 1: of life is higher. I mean, I think what we've 338 00:17:13,560 --> 00:17:16,080 Speaker 1: seen so far in terms of where people are moving, 339 00:17:16,160 --> 00:17:19,240 Speaker 1: it's like, yes, more people are moving to Austin, then 340 00:17:19,240 --> 00:17:24,320 Speaker 1: also Phoenix. They're not moving to Cleveland or other They're 341 00:17:24,359 --> 00:17:27,120 Speaker 1: not moving to the second tier cities where you actually 342 00:17:27,160 --> 00:17:29,399 Speaker 1: get a really big jump up in the kind of 343 00:17:29,400 --> 00:17:31,760 Speaker 1: house you can buy and the quality of life. So 344 00:17:31,800 --> 00:17:33,679 Speaker 1: it is. I don't think it's going to be some 345 00:17:33,840 --> 00:17:37,960 Speaker 1: great equalizer. It's just gonna shift the inequality sort of. 346 00:17:38,240 --> 00:17:40,600 Speaker 1: You know, it's gonna make things a lot worse in 347 00:17:40,680 --> 00:17:44,000 Speaker 1: a few towns in Montana um and then in the 348 00:17:44,000 --> 00:17:46,120 Speaker 1: rest of the country. It's not going to change things 349 00:17:46,200 --> 00:17:49,480 Speaker 1: that much. But I think in again, in the computer 350 00:17:49,520 --> 00:17:54,240 Speaker 1: and mathematical um occupations, it's also just gonna be and 351 00:17:54,320 --> 00:17:56,960 Speaker 1: this was again already happening, but it's just gonna increase 352 00:17:57,359 --> 00:18:01,560 Speaker 1: the tendency to think globally. And you're trying to staff 353 00:18:01,640 --> 00:18:05,560 Speaker 1: up something and and you know, even if companies aren't 354 00:18:05,600 --> 00:18:08,080 Speaker 1: able to push through that, hey you have to take 355 00:18:08,160 --> 00:18:10,679 Speaker 1: less pay. If you lived in Bend, Oregon, then if 356 00:18:10,720 --> 00:18:13,480 Speaker 1: you live in Silicon Valley, they can probably get away 357 00:18:13,480 --> 00:18:15,560 Speaker 1: with it saying yes, you take less pay. If you 358 00:18:15,600 --> 00:18:18,080 Speaker 1: live in Ukraine, then if you live in the US, 359 00:18:19,320 --> 00:18:22,720 Speaker 1: you know Bend Oregon long ago, justin at the early 360 00:18:22,800 --> 00:18:26,199 Speaker 1: days of the pandemic, as an Oregon I woke up 361 00:18:26,200 --> 00:18:29,080 Speaker 1: one morning and in that like little hazy spot before 362 00:18:29,080 --> 00:18:31,480 Speaker 1: your brain is fully awake, I was like, where in 363 00:18:31,520 --> 00:18:34,080 Speaker 1: the world would I work if I could work anywhere? 364 00:18:34,119 --> 00:18:36,520 Speaker 1: And Bend Oregan was the spot that popped into my 365 00:18:36,560 --> 00:18:39,680 Speaker 1: brain in that hazy hour. But uh, I also just 366 00:18:39,720 --> 00:18:41,520 Speaker 1: want to bring up another point that you raised in 367 00:18:41,880 --> 00:18:44,080 Speaker 1: your story here, which is like, you know, one other 368 00:18:44,160 --> 00:18:49,080 Speaker 1: element of this work from home conversation with this particular 369 00:18:49,119 --> 00:18:52,520 Speaker 1: category of jobs is like jobs here are really scarce 370 00:18:52,560 --> 00:18:55,159 Speaker 1: in this field. Right even before the pandemic, this has 371 00:18:55,200 --> 00:18:59,400 Speaker 1: been some of the most desirable workers in career path. 372 00:18:59,560 --> 00:19:02,000 Speaker 1: The workers are scarce, the jobs are not scarce. The 373 00:19:02,000 --> 00:19:05,520 Speaker 1: workers are exactly right. And and so I'm wondering as 374 00:19:06,000 --> 00:19:10,000 Speaker 1: as the pandemic actually exacerbated that, because it's not like 375 00:19:10,040 --> 00:19:13,639 Speaker 1: the pipeline has been robust and growing right right, and 376 00:19:13,640 --> 00:19:17,119 Speaker 1: and there hasn't been any you know, like overall employment 377 00:19:17,240 --> 00:19:20,480 Speaker 1: is still down something like four percent in the computer 378 00:19:20,520 --> 00:19:24,080 Speaker 1: and mathematical occupations, it's it's up, but not by a 379 00:19:24,119 --> 00:19:27,800 Speaker 1: huge amount. But they're they're basically other than really temporarily 380 00:19:27,920 --> 00:19:31,240 Speaker 1: right at the in the middle of the lockdowns, there 381 00:19:31,280 --> 00:19:34,200 Speaker 1: was no real decline and employment in the in that area, 382 00:19:34,200 --> 00:19:38,120 Speaker 1: and no definitely no decline overall in demand for people 383 00:19:38,160 --> 00:19:40,200 Speaker 1: to do those kinds of jobs. Yeah, and these guys 384 00:19:40,200 --> 00:19:42,399 Speaker 1: are getting paid well. The meeting hourly wage for all 385 00:19:42,440 --> 00:19:46,840 Speaker 1: computer and mathematical occupations of almost forty four dollars. Computer 386 00:19:46,840 --> 00:19:49,879 Speaker 1: and information research scientists had the highest meeting wage at 387 00:19:49,880 --> 00:19:52,840 Speaker 1: almost sixty hour perhaps in surprising why you saw a 388 00:19:52,880 --> 00:19:56,159 Speaker 1: lot of this workout source early for the pandemic. Exactly 389 00:19:56,560 --> 00:19:59,280 Speaker 1: good stuff, Thank you so much, justin really appreciate it. Yeah, 390 00:19:59,359 --> 00:20:01,800 Speaker 1: you bet. Check out this. It's a column on the 391 00:20:01,840 --> 00:20:04,560 Speaker 1: back page of the upcoming issue of Bloomberg Business Week magazine. 392 00:20:04,680 --> 00:20:08,640 Speaker 1: Jil Webber and Bloomberg opinion columnist Justin Fox in our studio. 393 00:20:08,760 --> 00:20:14,480 Speaker 1: This is Bloomberg. This is the Big Take, the best 394 00:20:14,560 --> 00:20:18,560 Speaker 1: of Bloomberg's in depth, original reporting from around the globe. Well, 395 00:20:18,560 --> 00:20:21,360 Speaker 1: we have to make sure we do as the economy. 396 00:20:21,440 --> 00:20:24,000 Speaker 1: What covers is what cut. The data kind of broken 397 00:20:24,080 --> 00:20:26,040 Speaker 1: down a bit. It's fun to becoming more and more 398 00:20:26,080 --> 00:20:28,800 Speaker 1: expensive to be looking at for shipping billion dollars for 399 00:20:28,880 --> 00:20:31,520 Speaker 1: the red entry levels. There's been ways of immigration that 400 00:20:31,600 --> 00:20:34,000 Speaker 1: have taced a lot of resistance, a lot of color 401 00:20:34,200 --> 00:20:36,920 Speaker 1: behind the scenes in a great untold story. How did 402 00:20:36,920 --> 00:20:39,800 Speaker 1: Bezos really come out on top? It's the cover, says 403 00:20:39,960 --> 00:20:42,960 Speaker 1: Jeff Wins. He always seems to win the Big Take 404 00:20:43,320 --> 00:20:46,480 Speaker 1: on Bloomberg Radio. All right, this time for the Bloomberg 405 00:20:46,480 --> 00:20:48,080 Speaker 1: Big Take. Happens to be one of our most read 406 00:20:48,119 --> 00:20:51,080 Speaker 1: stories too on the Bloomberg because you put anything about 407 00:20:51,080 --> 00:20:53,280 Speaker 1: taxes and the headline in the Bloomberg story and it's 408 00:20:53,400 --> 00:20:55,320 Speaker 1: among the most red tips, and for good reason, because 409 00:20:55,320 --> 00:20:58,200 Speaker 1: it is a fantastic deep dive into taxing the rich, 410 00:20:58,440 --> 00:21:01,439 Speaker 1: winning at poles, but falter us to fix global housing. 411 00:21:01,520 --> 00:21:05,000 Speaker 1: Joining us now is Natalie Obiquo Pearson, Vancouver bureau chief 412 00:21:05,040 --> 00:21:07,240 Speaker 1: for Bloomberg News, joining us on the phone from our 413 00:21:07,320 --> 00:21:13,040 Speaker 1: Vancouver bureau. Natalie, take us through globally what's happening with 414 00:21:13,200 --> 00:21:21,280 Speaker 1: governments trying to disincentivize people from leaving apartments empty? Sure, 415 00:21:21,359 --> 00:21:23,080 Speaker 1: so what do What we tried to do in the 416 00:21:23,240 --> 00:21:26,000 Speaker 1: story was we did a deep dive into a couple 417 00:21:26,000 --> 00:21:32,160 Speaker 1: of cities, Vancouver and Melbourne, that imposed empty homes taxes 418 00:21:32,280 --> 00:21:35,159 Speaker 1: quite early on, so if if property owners left their 419 00:21:35,440 --> 00:21:39,280 Speaker 1: places empty, they had to pay an annual tax. And uh. 420 00:21:39,359 --> 00:21:41,919 Speaker 1: The reason this is important is because a few of 421 00:21:41,960 --> 00:21:45,639 Speaker 1: other cities around the world who are similarly facing affordable 422 00:21:45,680 --> 00:21:49,720 Speaker 1: housing crunches, are looked to be potentially following in their footsteps. 423 00:21:49,760 --> 00:21:52,639 Speaker 1: Los Angeles is planning to put a vacant homes tax 424 00:21:52,720 --> 00:21:57,080 Speaker 1: on the ballot. For Hong Kong officials are considering taxing 425 00:21:57,160 --> 00:22:00,040 Speaker 1: condo developers to deter them from hoarding new You and 426 00:22:00,119 --> 00:22:03,159 Speaker 1: It's Ireland is looking at a couple options, and Barcelona 427 00:22:03,200 --> 00:22:06,199 Speaker 1: has even gone so far as to threaten to seize 428 00:22:06,359 --> 00:22:10,159 Speaker 1: landlord's empty apartments. So it's very sort of you know, 429 00:22:10,200 --> 00:22:12,399 Speaker 1: of the day, all right, So of the day, does 430 00:22:12,440 --> 00:22:14,359 Speaker 1: it really make a difference? I mean, if we start 431 00:22:14,400 --> 00:22:16,040 Speaker 1: doing this, are you telling me that we could knock 432 00:22:16,080 --> 00:22:17,879 Speaker 1: down those really wealthy homes and then all of a 433 00:22:17,880 --> 00:22:20,520 Speaker 1: sudden you'd put in lower income housing there. I mean, 434 00:22:20,840 --> 00:22:24,280 Speaker 1: is that really? Is this? Are we really getting at 435 00:22:24,320 --> 00:22:26,760 Speaker 1: the root of the problem, I guess is what I'm asking. Yeah, 436 00:22:26,800 --> 00:22:29,159 Speaker 1: it's a great question, and I think a really tricky 437 00:22:29,200 --> 00:22:32,359 Speaker 1: one because some degree you can understand why municipalities do this, 438 00:22:32,480 --> 00:22:35,960 Speaker 1: and when you have an affordable housing crunch, to see 439 00:22:36,040 --> 00:22:39,040 Speaker 1: empty homes just not being used as of course you know, 440 00:22:39,040 --> 00:22:41,560 Speaker 1: it's it's very difficult for residents to see. But on 441 00:22:41,600 --> 00:22:44,720 Speaker 1: the other hand, I think, you know, Melvern and Vancouver 442 00:22:44,840 --> 00:22:48,520 Speaker 1: provide some early lessons and I think the takeaway might 443 00:22:48,560 --> 00:22:52,480 Speaker 1: be they deal with the symptoms of a housing crisis, 444 00:22:52,520 --> 00:22:54,679 Speaker 1: but they're not gonna there and there are no panacea. 445 00:22:54,720 --> 00:22:57,520 Speaker 1: They are not going to fix it. And um by that, 446 00:22:57,720 --> 00:23:01,119 Speaker 1: I mean, uh, you know, I'll take is free. What Vancouver, 447 00:23:01,240 --> 00:23:04,640 Speaker 1: which was the first municipality in North America to implement 448 00:23:04,680 --> 00:23:08,639 Speaker 1: attacks like this, has seen so to some degree, the 449 00:23:08,760 --> 00:23:13,560 Speaker 1: tax did seem to encourage condo owners, for example, to 450 00:23:13,680 --> 00:23:16,639 Speaker 1: put their units into the long term rental supply. So, 451 00:23:16,800 --> 00:23:19,560 Speaker 1: for example, units that might have been on the airbnb 452 00:23:19,760 --> 00:23:23,240 Speaker 1: market before had been placed back into long term rentals. 453 00:23:23,880 --> 00:23:27,600 Speaker 1: Um and uh. You know, the city has also managed 454 00:23:27,640 --> 00:23:30,560 Speaker 1: to raise a lot more money than it originally expected. 455 00:23:30,880 --> 00:23:34,720 Speaker 1: And that's partially because the homes that were less empty 456 00:23:34,880 --> 00:23:37,960 Speaker 1: were the most expensive homes. Um And I suppose to 457 00:23:37,960 --> 00:23:39,919 Speaker 1: some degree that doesn't surprise because somebody who can live 458 00:23:40,000 --> 00:23:42,320 Speaker 1: forward to leave their house empty probably is wealthy to 459 00:23:42,320 --> 00:23:46,240 Speaker 1: begin with. Those aren't exactly hitting the rental market right exactly, 460 00:23:46,359 --> 00:23:50,280 Speaker 1: Like a thirteen million dollar mansion is probably not something 461 00:23:49,880 --> 00:23:58,359 Speaker 1: that we have more than that like so um so yeah, 462 00:23:58,440 --> 00:24:01,560 Speaker 1: so you do manage to raise is Vancouver did manage 463 00:24:01,640 --> 00:24:05,120 Speaker 1: to actually raise a lot more money than it ever expected, 464 00:24:05,520 --> 00:24:09,000 Speaker 1: and that has gone towards affordable housing initiatives like building 465 00:24:09,480 --> 00:24:14,720 Speaker 1: rental housing for lower income families. But the vacancy rate 466 00:24:14,800 --> 00:24:17,080 Speaker 1: in the city is still below one percent. It's been 467 00:24:17,119 --> 00:24:22,240 Speaker 1: stuck there for years and rents have continued to rise. Well, 468 00:24:22,240 --> 00:24:25,000 Speaker 1: you do think about that the wealthier are able to 469 00:24:25,080 --> 00:24:28,760 Speaker 1: invest in real estate, right and there are tax, you know, 470 00:24:29,480 --> 00:24:32,880 Speaker 1: positive tax implications or benefits to them by being able 471 00:24:32,880 --> 00:24:34,400 Speaker 1: to do so that a lot of other people aren't 472 00:24:34,440 --> 00:24:37,640 Speaker 1: able to tap into. So you do wonder about We'll 473 00:24:37,680 --> 00:24:39,639 Speaker 1: wait a minute, are we are we really using our 474 00:24:39,760 --> 00:24:42,159 Speaker 1: land and property in the right way, especially when there 475 00:24:42,200 --> 00:24:44,760 Speaker 1: are so many people who need it. Having said that, 476 00:24:44,960 --> 00:24:50,359 Speaker 1: things like interest rates, um policy, housing policies, um bank 477 00:24:50,440 --> 00:24:52,639 Speaker 1: access from more, I mean, there's other things that really 478 00:24:53,000 --> 00:24:54,880 Speaker 1: are at play here that could really move the needle 479 00:24:54,880 --> 00:24:58,320 Speaker 1: when it comes to fixing some of our global housing problems, right, 480 00:24:58,680 --> 00:25:01,919 Speaker 1: and I think that's essentially lee it. I mean, both 481 00:25:02,000 --> 00:25:06,800 Speaker 1: Melbourne and Vancouver have been seeing an almost unbroken run 482 00:25:06,880 --> 00:25:10,040 Speaker 1: up in housing prices for two decades and that's very 483 00:25:10,119 --> 00:25:14,040 Speaker 1: much been tied to things like interest rates, uh, you know, 484 00:25:14,280 --> 00:25:17,920 Speaker 1: strict zoning laws and restrictions that keep the supply from 485 00:25:17,960 --> 00:25:21,760 Speaker 1: being built as quickly as it should be. And so 486 00:25:22,000 --> 00:25:25,159 Speaker 1: those are the real levels that are that are that 487 00:25:25,240 --> 00:25:28,040 Speaker 1: you need to sort of work with to to to 488 00:25:28,320 --> 00:25:31,720 Speaker 1: cure the housing crisis, or at least to alleviate it significantly. 489 00:25:32,080 --> 00:25:35,080 Speaker 1: I mean, just to put this in perspective, right, Vancouver 490 00:25:35,280 --> 00:25:39,600 Speaker 1: expected ten thousand properties to be empty in the city 491 00:25:39,680 --> 00:25:42,000 Speaker 1: in the first three years of the tax, I think 492 00:25:42,040 --> 00:25:45,320 Speaker 1: about two hundred and some were moved back into the 493 00:25:45,480 --> 00:25:49,480 Speaker 1: rental supply. I mean that's that's you know, that's a 494 00:25:49,560 --> 00:25:51,800 Speaker 1: drop in the bucket in a housing market of two 495 00:25:51,840 --> 00:25:56,240 Speaker 1: hundred thousand properties. So, Natalie, just in the last fifteen 496 00:25:56,240 --> 00:25:58,679 Speaker 1: seconds that we have do based on your reporting, do 497 00:25:58,680 --> 00:26:01,919 Speaker 1: you anticipate that this type of policy will continue to spread? 498 00:26:01,920 --> 00:26:04,239 Speaker 1: As you point out Lela's planning to put vacant home 499 00:26:04,280 --> 00:26:07,840 Speaker 1: tax on the ballot for even though the data show 500 00:26:07,880 --> 00:26:10,520 Speaker 1: that it's not necessarily working. I think one thing we 501 00:26:10,640 --> 00:26:12,439 Speaker 1: think it's one thing we can stay safely is that 502 00:26:12,560 --> 00:26:17,480 Speaker 1: for policy makers, if it's politically popular, then it probably 503 00:26:17,520 --> 00:26:19,600 Speaker 1: will come in. And it just there is a lot 504 00:26:19,640 --> 00:26:22,800 Speaker 1: of public support for these types of taxes. So probably yes, 505 00:26:23,359 --> 00:26:25,000 Speaker 1: all right, we're gonna run. Hey, thank you so much. 506 00:26:25,040 --> 00:26:29,040 Speaker 1: Bloomberg News Vancouver Bureau chief Natalie Obiko joining us on 507 00:26:29,200 --> 00:26:33,720 Speaker 1: the phone in Vancouver, our Vancouver bure out. This is 508 00:26:33,760 --> 00:26:37,680 Speaker 1: Bloomberg Business Week with Carol Masser and Bloomberg Quick Takes 509 00:26:37,760 --> 00:26:42,040 Speaker 1: Tim Stinovic from Bloomberg Radio for just coming over a 510 00:26:42,080 --> 00:26:44,680 Speaker 1: peak of the day, but just off our best levels 511 00:26:44,680 --> 00:26:46,119 Speaker 1: of the day and we've got another record for the 512 00:26:46,240 --> 00:26:48,159 Speaker 1: S and P five hundred. I believe it's the forty 513 00:26:48,280 --> 00:26:50,720 Speaker 1: nine record on the S and P that we've seen 514 00:26:50,880 --> 00:26:54,840 Speaker 1: in So we continue that grind higher. Let's get to 515 00:26:54,920 --> 00:26:57,600 Speaker 1: the drive to the close. Alan Zaffron is back with us, 516 00:26:57,640 --> 00:27:00,080 Speaker 1: founding partner in co c I CEO at I e 517 00:27:00,200 --> 00:27:03,080 Speaker 1: Q Capital. He's back with us, Tim on the phone 518 00:27:03,080 --> 00:27:07,800 Speaker 1: in Foster City, California. So Alan, it seems like the markets, 519 00:27:07,800 --> 00:27:10,199 Speaker 1: just when you think they're getting a little tired, a 520 00:27:10,240 --> 00:27:15,480 Speaker 1: little weary, here we are grinding to another record. Carol 521 00:27:15,560 --> 00:27:19,679 Speaker 1: and Tim, ain't it amazing? So much capitalist flash in 522 00:27:19,720 --> 00:27:25,520 Speaker 1: the marketplace. You can throw COVID fed, tapering tax pikes, uh, 523 00:27:25,640 --> 00:27:31,560 Speaker 1: diplomatic missteps potentially or arguably in Afghanistan. The market nevertheless 524 00:27:32,119 --> 00:27:35,399 Speaker 1: looks past all that. I think it's still being driven 525 00:27:35,400 --> 00:27:38,600 Speaker 1: by Tina. There is no alternative when bonds and cash 526 00:27:38,640 --> 00:27:42,320 Speaker 1: shields so little, it's still the cult of equities that's 527 00:27:42,320 --> 00:27:44,479 Speaker 1: going to prevail. And that is what we are watching. 528 00:27:44,560 --> 00:27:48,040 Speaker 1: All risk ansts go up when conventional safe places like 529 00:27:48,119 --> 00:27:52,080 Speaker 1: cash and bonds paste a little, and capital continues to 530 00:27:52,080 --> 00:27:54,680 Speaker 1: flow into places to try and find a higher return 531 00:27:55,200 --> 00:27:57,800 Speaker 1: on that invested capital. That's the story of this year. 532 00:27:57,960 --> 00:28:01,760 Speaker 1: Alan do the high price is do earnings justify the 533 00:28:01,800 --> 00:28:08,560 Speaker 1: high prices? I actually think they do. Again. The complication 534 00:28:08,680 --> 00:28:12,000 Speaker 1: here is people will argue if we just take the 535 00:28:12,200 --> 00:28:17,880 Speaker 1: SMP five index, it's traded about sixteen times it's forward 536 00:28:17,920 --> 00:28:20,119 Speaker 1: looking learnings than the last twenty five years, and if 537 00:28:20,160 --> 00:28:23,359 Speaker 1: you look right now, depending on how much forecast you know, 538 00:28:23,400 --> 00:28:26,560 Speaker 1: we're probably trading at about twenty two times forward earnings. 539 00:28:26,560 --> 00:28:31,240 Speaker 1: That's a huge premium. The challenge is twofold one. We're 540 00:28:31,280 --> 00:28:34,879 Speaker 1: in a world much lower interest rates now than we've 541 00:28:34,920 --> 00:28:38,760 Speaker 1: historically been over the last twenty five years. And secondly, 542 00:28:39,560 --> 00:28:42,480 Speaker 1: the world today at the SMP five is comprised of 543 00:28:42,920 --> 00:28:46,640 Speaker 1: companies that are far less capital intensive and generate higher 544 00:28:46,680 --> 00:28:49,720 Speaker 1: profit margins. The X on mobiles and a T and 545 00:28:49,760 --> 00:28:51,880 Speaker 1: T s in general, motors of twenty five years and 546 00:28:51,920 --> 00:28:54,959 Speaker 1: ago are now Facebook and Apple and Amazon, and so 547 00:28:55,160 --> 00:28:59,440 Speaker 1: arguably a world of better quality, higher profitable businesses in 548 00:28:59,480 --> 00:29:03,360 Speaker 1: a world of lower interest rates. Merits are higher than 549 00:29:03,520 --> 00:29:07,080 Speaker 1: historically average p multiple. Of course, it's aren't more than science, 550 00:29:07,080 --> 00:29:09,960 Speaker 1: so we don't know exactly what that light multiple is, 551 00:29:10,000 --> 00:29:13,680 Speaker 1: but I think it's far less overvalued than what people 552 00:29:13,680 --> 00:29:16,400 Speaker 1: would try and argue when they make historical comparison. It 553 00:29:16,520 --> 00:29:18,520 Speaker 1: is a market that has a scratching our heads. I mean, 554 00:29:18,560 --> 00:29:20,160 Speaker 1: Dave Wilson just came out with this chart of the 555 00:29:20,200 --> 00:29:24,360 Speaker 1: day and he talks about how financials have you know, 556 00:29:25,280 --> 00:29:28,840 Speaker 1: turned out to be our best performing group now in 557 00:29:28,920 --> 00:29:30,840 Speaker 1: terms of our eleven main industry groups in the SMP 558 00:29:30,960 --> 00:29:34,040 Speaker 1: five hundred years a date, which has you scratching your head. 559 00:29:34,080 --> 00:29:37,040 Speaker 1: Considering the low rate environment, that is not typically what 560 00:29:37,120 --> 00:29:39,840 Speaker 1: you see. So I mean, how do you explain that. 561 00:29:40,240 --> 00:29:45,320 Speaker 1: Are there disconnects or does it all make sense to you? Uh? Well, 562 00:29:45,440 --> 00:29:48,800 Speaker 1: it makes sense and like like the world, it makes 563 00:29:48,800 --> 00:29:51,560 Speaker 1: sense for two reasons. One is you have to look 564 00:29:51,640 --> 00:29:54,040 Speaker 1: where you started from. Financials were pretty beat up in 565 00:29:54,080 --> 00:29:57,640 Speaker 1: Financials are basically a leverage bet on economic recovery. So 566 00:29:58,280 --> 00:30:01,560 Speaker 1: you went from COVID and it disaster's economy to where 567 00:30:01,640 --> 00:30:05,520 Speaker 1: leveraged businesses like financials would do better out of a recession. 568 00:30:05,600 --> 00:30:09,160 Speaker 1: And secondly, it's a bit forward looking. You're hopeful if 569 00:30:09,200 --> 00:30:11,640 Speaker 1: the economy strengthens, interest rates go up a bit, and 570 00:30:11,640 --> 00:30:16,240 Speaker 1: those financials are probably forecasting implicitly a somewhat. I don't 571 00:30:16,280 --> 00:30:19,080 Speaker 1: overstate it, but a somewhat more steep yield curve over 572 00:30:19,120 --> 00:30:22,520 Speaker 1: the next six to twelve months, and hence financial stocks 573 00:30:22,520 --> 00:30:25,200 Speaker 1: I think are going up in advance of that base 574 00:30:25,320 --> 00:30:28,560 Speaker 1: case most likely outcome for the old curve looking forward, 575 00:30:28,600 --> 00:30:34,640 Speaker 1: So an anticipation of a more favorable rate environment exactly. Hey, Alan, 576 00:30:34,720 --> 00:30:37,600 Speaker 1: you you said the acronym tina there is no alternative, 577 00:30:37,680 --> 00:30:41,040 Speaker 1: but but you do think there is some alternative right now, 578 00:30:41,200 --> 00:30:44,360 Speaker 1: right for for where you're putting money, Well, I think 579 00:30:44,360 --> 00:30:46,320 Speaker 1: there are. I mean, so as an example, I'm just 580 00:30:46,320 --> 00:30:48,920 Speaker 1: going to talk about rates. Reets are really stocked, but 581 00:30:48,960 --> 00:30:51,560 Speaker 1: they're tied to real estate, and real estate is another 582 00:30:51,640 --> 00:30:56,120 Speaker 1: form of income generation besides bond So it's not that 583 00:30:56,280 --> 00:30:59,040 Speaker 1: much of a stretch to argue if you're a long 584 00:30:59,160 --> 00:31:01,880 Speaker 1: term investor, and if you're willing to look aside from 585 00:31:02,080 --> 00:31:05,720 Speaker 1: short term price volatility, which I define as months and years, 586 00:31:05,800 --> 00:31:09,920 Speaker 1: not days or weeks, as one example, freaks, whether it's 587 00:31:09,920 --> 00:31:13,320 Speaker 1: in a public or a private format, or another form 588 00:31:13,360 --> 00:31:15,400 Speaker 1: of tax efficient income that I think if you have 589 00:31:15,520 --> 00:31:19,200 Speaker 1: enough long enough time frame, the likelihogens will generate higher 590 00:31:19,280 --> 00:31:22,080 Speaker 1: rates return to conventional bonds. You can make the same 591 00:31:22,120 --> 00:31:25,520 Speaker 1: analysis for individuals who are willing to go far enough 592 00:31:25,560 --> 00:31:30,680 Speaker 1: to look at privately issued senior floating rate debt. Sounds 593 00:31:30,760 --> 00:31:34,280 Speaker 1: very complicated, but basically, if you're the senior lender to 594 00:31:34,400 --> 00:31:38,120 Speaker 1: a company and you have a floating rate debt, surprisingly 595 00:31:38,200 --> 00:31:41,280 Speaker 1: you can earn without leverage around a six percent return 596 00:31:41,880 --> 00:31:44,880 Speaker 1: tied to lie Bold typically, and with some leverage you 597 00:31:44,920 --> 00:31:46,360 Speaker 1: might even get as much as an eight or nine 598 00:31:46,360 --> 00:31:49,960 Speaker 1: percent return. Leaves room, although historically have not been allot 599 00:31:50,000 --> 00:31:52,360 Speaker 1: of defaults, and even leaves room for some handfuls of 600 00:31:52,400 --> 00:31:55,160 Speaker 1: businesses to default on their debt payments and still earn 601 00:31:55,200 --> 00:31:57,880 Speaker 1: more than what a conventional bond does. When an investment 602 00:31:57,920 --> 00:32:00,840 Speaker 1: grade bond is paying you two percent the bars load 603 00:32:01,280 --> 00:32:04,520 Speaker 1: den why money scoring strategy? Well, I'm looking at two 604 00:32:04,840 --> 00:32:08,160 Speaker 1: uh dad John's equity Total Return Index. It's up almost 605 00:32:09,120 --> 00:32:12,680 Speaker 1: year to date, up about th uh in the past 606 00:32:12,720 --> 00:32:15,960 Speaker 1: fifty two weeks. I that's the one area the commercial 607 00:32:15,960 --> 00:32:18,400 Speaker 1: real estate or real estate generally. I am surprised that 608 00:32:18,480 --> 00:32:23,520 Speaker 1: there hasn't been Alan Moore fallout. Why hasn't there been? Well? 609 00:32:23,680 --> 00:32:27,320 Speaker 1: Twofold again, what one is? I would argue that you 610 00:32:27,720 --> 00:32:30,640 Speaker 1: certainly do need to be selective about what kinds of 611 00:32:30,720 --> 00:32:34,120 Speaker 1: real estate you're investing. Is a big difference between industrial 612 00:32:34,160 --> 00:32:37,760 Speaker 1: warehouse is servicing Amazon and ups and set X versus 613 00:32:37,960 --> 00:32:40,560 Speaker 1: your urban office building where half the building is now 614 00:32:40,640 --> 00:32:42,520 Speaker 1: vacated or we're going to be less occupied. So I 615 00:32:42,600 --> 00:32:45,840 Speaker 1: get that, but but i'd also argue again, when you 616 00:32:45,920 --> 00:32:50,360 Speaker 1: on one, you're back those those those rates were really 617 00:32:50,480 --> 00:32:53,160 Speaker 1: beaten up, and so some of that is bounced back. 618 00:32:53,160 --> 00:32:55,720 Speaker 1: And then the other issue is I think the demise 619 00:32:55,800 --> 00:33:00,520 Speaker 1: of real estate is actually overstated. I think i'd rid world, 620 00:33:00,560 --> 00:33:02,400 Speaker 1: you're gonna be a hybrid world, but you're still going 621 00:33:02,480 --> 00:33:06,000 Speaker 1: to have even people occupying businesses, occupying offices, They're still 622 00:33:06,000 --> 00:33:07,480 Speaker 1: gonna need to pay for the rent, even if they're 623 00:33:07,480 --> 00:33:09,200 Speaker 1: only in there three days a week. I don't think 624 00:33:09,200 --> 00:33:11,760 Speaker 1: it's an all or non proposition. It's interesting that you 625 00:33:11,760 --> 00:33:13,720 Speaker 1: say that because just today and among the most read 626 00:33:13,920 --> 00:33:15,600 Speaker 1: on the Bloomberg terminal, and we were talking about this 627 00:33:15,640 --> 00:33:18,800 Speaker 1: earlier with State Street closing, it's abandoning its New York 628 00:33:18,800 --> 00:33:20,800 Speaker 1: City offices, and look, it's not based in New York. 629 00:33:20,880 --> 00:33:22,880 Speaker 1: But do you think that's an exception rather than the 630 00:33:22,920 --> 00:33:26,720 Speaker 1: norm moving forward? I think it is an exception because 631 00:33:26,720 --> 00:33:29,400 Speaker 1: I don't think everybody has the capacity to with state 632 00:33:29,440 --> 00:33:33,400 Speaker 1: streets has done. I definitely think there's diminished demand to 633 00:33:33,520 --> 00:33:36,320 Speaker 1: a degree for office space, but to a degree to 634 00:33:36,360 --> 00:33:40,200 Speaker 1: which prices fell overstates the degree on a on a 635 00:33:40,320 --> 00:33:43,200 Speaker 1: national basis. Just with that demise and the diminishment of 636 00:33:43,280 --> 00:33:46,080 Speaker 1: cash flows will be so again, when I'm buying GEFs, 637 00:33:46,080 --> 00:33:50,480 Speaker 1: I'm looking for sustainable dividends, and I suspect even when 638 00:33:50,480 --> 00:33:53,080 Speaker 1: I have reduced office demand, because that's really where the 639 00:33:53,080 --> 00:33:56,520 Speaker 1: pressure is hotels in office, there's going to be enough 640 00:33:56,600 --> 00:33:59,320 Speaker 1: cash flows still remaining to more than offset them out 641 00:33:59,360 --> 00:34:01,960 Speaker 1: bo which prices have fallen. I wouldn't put all my 642 00:34:02,000 --> 00:34:04,440 Speaker 1: money in there. But when my again my investment great 643 00:34:04,440 --> 00:34:06,640 Speaker 1: bond has given me a two percent return and attack 644 00:34:06,720 --> 00:34:09,160 Speaker 1: eve them bonds is less than one percent, I can 645 00:34:09,280 --> 00:34:12,239 Speaker 1: afford handfuls of defaults or missteps and still beat those 646 00:34:12,800 --> 00:34:15,560 Speaker 1: via comfortable margins. That's why the capital is flowing there. 647 00:34:15,840 --> 00:34:18,160 Speaker 1: That's an interesting way to think about it in terms 648 00:34:18,200 --> 00:34:20,640 Speaker 1: of the equity market. What do you like within the 649 00:34:20,680 --> 00:34:24,960 Speaker 1: equity space right now? Well, I do actually still think 650 00:34:25,360 --> 00:34:30,280 Speaker 1: we are in a slower than average grinding economic economy, 651 00:34:30,440 --> 00:34:32,200 Speaker 1: which we're going to get up right where we were 652 00:34:32,320 --> 00:34:35,600 Speaker 1: before COVID. In fact, COVID may even persist this. You 653 00:34:35,680 --> 00:34:37,920 Speaker 1: have to look at growth. You have to stick with 654 00:34:37,960 --> 00:34:41,520 Speaker 1: the businesses that have high quality earnings generation. They can 655 00:34:41,520 --> 00:34:46,040 Speaker 1: grow in a low economic growth environment. So the cult 656 00:34:46,080 --> 00:34:50,640 Speaker 1: of growth equities outperforming value stocks that is likely to persist. 657 00:34:50,719 --> 00:34:55,479 Speaker 1: And so that's sort of a coded way of saying technology, biotechnology, 658 00:34:56,160 --> 00:35:00,600 Speaker 1: other businesses that have persistent competitive barriers of entry and 659 00:35:00,760 --> 00:35:03,480 Speaker 1: real mean business models that are really able to sustained 660 00:35:03,520 --> 00:35:06,480 Speaker 1: earnings growth, How capital will continue to be there? How 661 00:35:06,520 --> 00:35:09,759 Speaker 1: long does that persist for? Probably until we get through 662 00:35:09,800 --> 00:35:12,160 Speaker 1: the next recession, because I just don't see how we're 663 00:35:12,160 --> 00:35:14,600 Speaker 1: going to grow our economy quickly. If anything said is 664 00:35:14,600 --> 00:35:16,960 Speaker 1: going to be taking the set on the sort off 665 00:35:17,040 --> 00:35:19,520 Speaker 1: the pedal economic growth will again slowed down again the 666 00:35:19,560 --> 00:35:21,240 Speaker 1: seat of not going to ramp it up again until 667 00:35:21,239 --> 00:35:23,440 Speaker 1: you go through another recession cycle. And I don't think 668 00:35:23,560 --> 00:35:26,920 Speaker 1: there's at seven A recession cycles coming anytime since. But 669 00:35:26,960 --> 00:35:30,000 Speaker 1: I think growth stocks will persist out performance probably for 670 00:35:30,000 --> 00:35:32,720 Speaker 1: the next couple of years. How much are you starting 671 00:35:32,760 --> 00:35:35,239 Speaker 1: to think about what comes out of Jackson Hole? And 672 00:35:35,280 --> 00:35:38,239 Speaker 1: I bring that up because we did see uh Dad 673 00:35:38,320 --> 00:35:41,840 Speaker 1: Jones reporting about how FET officials are nearing agreement to 674 00:35:41,880 --> 00:35:44,759 Speaker 1: begin scaling back their easy money policies in about three 675 00:35:44,800 --> 00:35:47,719 Speaker 1: months if the economy recovery continues. It doesn't feel like 676 00:35:47,760 --> 00:35:49,560 Speaker 1: to me that that's a lot of new messaging, because 677 00:35:49,600 --> 00:35:51,879 Speaker 1: that's I feel like it's safe to say that that's 678 00:35:51,880 --> 00:35:53,960 Speaker 1: what the FETE has been saying all along. J. Powell 679 00:35:54,000 --> 00:35:56,640 Speaker 1: and others. They're watching the data points in particular, and 680 00:35:56,640 --> 00:36:01,279 Speaker 1: if things you know, significantly and substantial really improve on 681 00:36:01,320 --> 00:36:06,440 Speaker 1: an economic basis, well yeah, they're gonna pull off, right. Yeah. No, 682 00:36:06,520 --> 00:36:08,360 Speaker 1: I think about it a lot. And the reason I 683 00:36:08,360 --> 00:36:11,279 Speaker 1: think about a lot is I work with a lot 684 00:36:11,320 --> 00:36:13,520 Speaker 1: of human beings as clients, and no matter how much 685 00:36:13,560 --> 00:36:16,080 Speaker 1: I argue be long term investors don't time the market. 686 00:36:16,120 --> 00:36:19,600 Speaker 1: Inevitably everybody wants an entry point, so inevitably everybody wants 687 00:36:19,600 --> 00:36:21,280 Speaker 1: to hold back from cash and wait for the pullback 688 00:36:21,360 --> 00:36:24,759 Speaker 1: that just does not happen. And so I'm kind of 689 00:36:25,200 --> 00:36:27,120 Speaker 1: this is sound ironic in a way. I'm hoping the 690 00:36:27,200 --> 00:36:29,480 Speaker 1: said comes out and surprises people and says they're gonna 691 00:36:29,760 --> 00:36:32,680 Speaker 1: paper bond purchases and raise rates more quickly the inspect 692 00:36:32,719 --> 00:36:36,080 Speaker 1: and create this ten percent hope for pullback, which will 693 00:36:36,120 --> 00:36:38,600 Speaker 1: let all of my clients cash magically flow into the 694 00:36:38,640 --> 00:36:41,360 Speaker 1: stock market at the perfect time. Of course, probably won't happen, 695 00:36:41,760 --> 00:36:44,040 Speaker 1: but I think about it constantly because I sit and 696 00:36:44,120 --> 00:36:46,080 Speaker 1: think about what's going to cause the correction. And the 697 00:36:46,120 --> 00:36:48,279 Speaker 1: problem is, you and I both know the things that 698 00:36:48,600 --> 00:36:53,640 Speaker 1: can cause a correction and higher tax rates, Afghanistan, fed papering, COVID. 699 00:36:54,239 --> 00:36:56,080 Speaker 1: But you and I both know it's what we don't 700 00:36:56,080 --> 00:37:00,200 Speaker 1: know that actually happens that will cause the correction. So 701 00:37:00,840 --> 00:37:03,200 Speaker 1: I worry about it. I can't control it, and I 702 00:37:03,239 --> 00:37:04,719 Speaker 1: don't know what it's going to do. I think the 703 00:37:04,760 --> 00:37:07,640 Speaker 1: FEDS and everything they can to signal their intentions, and 704 00:37:07,680 --> 00:37:10,000 Speaker 1: now the market will have to digest it as best 705 00:37:10,000 --> 00:37:12,640 Speaker 1: it can. Alan Why do you think the market, at 706 00:37:12,719 --> 00:37:17,000 Speaker 1: least the equity market hasn't has ignored the spread of 707 00:37:17,000 --> 00:37:22,799 Speaker 1: the delta variant because I was a twofold one. As 708 00:37:22,880 --> 00:37:25,000 Speaker 1: I believe everyone's looking at the charts and thinks our 709 00:37:25,080 --> 00:37:28,600 Speaker 1: pattern of experience on the delta variant is gonna parallel 710 00:37:28,640 --> 00:37:30,719 Speaker 1: things that happened like in the UK, where it looks 711 00:37:30,719 --> 00:37:33,279 Speaker 1: like if you match what's happened in caseloads here in 712 00:37:33,320 --> 00:37:35,520 Speaker 1: the UK, we've already peaked right about now, the market 713 00:37:35,600 --> 00:37:38,920 Speaker 1: already looking path what's already the peak of this variant. 714 00:37:39,040 --> 00:37:41,799 Speaker 1: There might be another variant to follow. That's part of it. 715 00:37:41,840 --> 00:37:43,759 Speaker 1: The second thing is, I think there's a belief we're 716 00:37:43,760 --> 00:37:47,240 Speaker 1: not going to shut down the economy again barring something extraordinary, 717 00:37:47,400 --> 00:37:50,399 Speaker 1: and so the actual economic impact is a lot less 718 00:37:50,400 --> 00:37:53,160 Speaker 1: significant than what we experienced back in February March of 719 00:37:53,239 --> 00:37:57,480 Speaker 1: two thousand twenty. People are adapting, we have better information today, 720 00:37:57,560 --> 00:38:00,400 Speaker 1: more people are vaccinated, and so I think the belief 721 00:38:00,480 --> 00:38:04,080 Speaker 1: is there's a much lesser economic hit so the U. 722 00:38:04,120 --> 00:38:07,400 Speaker 1: S economy in particular, than we witnessed a year and 723 00:38:07,400 --> 00:38:09,160 Speaker 1: a half ago. And so I just don't think, I 724 00:38:09,200 --> 00:38:11,400 Speaker 1: hate to say it this way, from a pure stock 725 00:38:11,480 --> 00:38:14,479 Speaker 1: market perspective, it's not a big enough event to matter, 726 00:38:15,360 --> 00:38:19,000 Speaker 1: right unless we see a retrenchment in the economy, like 727 00:38:19,040 --> 00:38:21,840 Speaker 1: I do think about this alan. You know, people can't 728 00:38:21,880 --> 00:38:24,480 Speaker 1: travel again just as we were starting to reopen. That's 729 00:38:24,480 --> 00:38:27,880 Speaker 1: going to have an economic impact. Disney right their second quarter, 730 00:38:28,160 --> 00:38:30,400 Speaker 1: it was streaming, but it was also the theme parks 731 00:38:30,400 --> 00:38:32,560 Speaker 1: which came roaring back in a big way, and that 732 00:38:32,640 --> 00:38:35,920 Speaker 1: stock just took off on a tear. So if we 733 00:38:35,960 --> 00:38:38,680 Speaker 1: start to see a retrenchment again where people aren't traveling 734 00:38:38,719 --> 00:38:42,560 Speaker 1: so much. Southwest warned about travel they I think, are 735 00:38:42,600 --> 00:38:44,799 Speaker 1: the biggest carrier that goes into Orlando. So there are 736 00:38:45,080 --> 00:38:48,040 Speaker 1: there are little pieces out there. The Chinese ports shutdown, 737 00:38:48,080 --> 00:38:51,160 Speaker 1: They're just little pockets that remind us that, yes, we 738 00:38:51,239 --> 00:38:52,960 Speaker 1: know how to deal with this, right, we have the 739 00:38:53,000 --> 00:38:55,279 Speaker 1: playbook that we didn't have a year year and a 740 00:38:55,320 --> 00:38:58,960 Speaker 1: half ago. But nonetheless, if I'm not out there going 741 00:38:58,960 --> 00:39:01,520 Speaker 1: back to store, shop being, my husband will be happy. 742 00:39:01,560 --> 00:39:04,640 Speaker 1: But you know, it means that's economic momentum that's not happening. 743 00:39:04,880 --> 00:39:07,480 Speaker 1: If we're not getting on planes, we're not doing business traveling, 744 00:39:07,719 --> 00:39:10,800 Speaker 1: we're seeing you know, the New York Auto Show got canceled. 745 00:39:10,800 --> 00:39:12,759 Speaker 1: Like there are big events that would normally attract a 746 00:39:12,840 --> 00:39:17,680 Speaker 1: lot of people that creates an economic momentum that's not happening. Um, 747 00:39:17,760 --> 00:39:20,600 Speaker 1: that's got to be something though that could start to 748 00:39:20,640 --> 00:39:23,560 Speaker 1: weigh on companies again and impact some of the top 749 00:39:23,560 --> 00:39:27,480 Speaker 1: and bottom lines and certainly impact some of the economic growth. 750 00:39:28,400 --> 00:39:30,560 Speaker 1: So I agree with to jazz Fest in New Orleans, 751 00:39:30,640 --> 00:39:33,040 Speaker 1: one of my scarest events has been canceled as well. 752 00:39:33,440 --> 00:39:35,840 Speaker 1: What I'll tell you this though, the things you're talking 753 00:39:35,840 --> 00:39:40,200 Speaker 1: about travel, uh, leisure, they comprise it actually a somewhat 754 00:39:40,280 --> 00:39:44,680 Speaker 1: smaller portion of the stock market than technology companies and 755 00:39:44,719 --> 00:39:48,200 Speaker 1: companies that actually can thrive in an environment that's modestly 756 00:39:48,320 --> 00:39:52,239 Speaker 1: shut down. What COVID has done is it accelerated the 757 00:39:52,360 --> 00:39:56,719 Speaker 1: use of technology and productivity in years, in many years 758 00:39:56,760 --> 00:39:59,880 Speaker 1: of not decades, and that's part of what we're witnessing. This. 759 00:40:00,520 --> 00:40:02,799 Speaker 1: We are in the midst of some industrial revolution which 760 00:40:02,800 --> 00:40:06,120 Speaker 1: probably started with the Internet way back when, or even 761 00:40:06,160 --> 00:40:08,680 Speaker 1: the creation of the semiconductors, depending how far back you 762 00:40:08,680 --> 00:40:12,080 Speaker 1: want to measure this. COVID has just re accelerated this 763 00:40:12,120 --> 00:40:16,160 Speaker 1: process and what you're seeing is durable, sustainable and accelerated 764 00:40:16,200 --> 00:40:19,399 Speaker 1: earnings growth. As a consequence, what you're describing tarol can 765 00:40:19,400 --> 00:40:23,240 Speaker 1: in fact sadly happen. It's going to marginalize again restaurant owners. 766 00:40:23,239 --> 00:40:27,160 Speaker 1: It's going to marginalize travel agents. It's gonna marginalized resort hotels. 767 00:40:27,200 --> 00:40:29,960 Speaker 1: But they don't make up the SMP five under an index. 768 00:40:30,600 --> 00:40:34,200 Speaker 1: But it isn't. It is. It's going to hurt spending 769 00:40:34,280 --> 00:40:38,680 Speaker 1: in the short run. But like other waves, I hate 770 00:40:38,680 --> 00:40:41,600 Speaker 1: to say it this way because it's truly a humanitarian crisis, 771 00:40:41,680 --> 00:40:45,800 Speaker 1: but from a pure financial economic perspective, it's a bump 772 00:40:45,880 --> 00:40:48,480 Speaker 1: in the road, and the road has just accelerated the 773 00:40:48,520 --> 00:40:50,160 Speaker 1: speed of which the cars can move because of all 774 00:40:50,200 --> 00:40:52,200 Speaker 1: the productivity enhancements. So, if you're going to take a 775 00:40:52,280 --> 00:40:55,759 Speaker 1: long enough point of view, whatever happens won't be good. 776 00:40:55,760 --> 00:40:59,360 Speaker 1: But we've actually set ourselves up for faster, more productive, better, 777 00:40:59,440 --> 00:41:04,239 Speaker 1: more robust and sustainable economic growth going forward. It's a 778 00:41:04,360 --> 00:41:08,799 Speaker 1: terrible humanitarian crisis in between. But to get to the end, 779 00:41:08,920 --> 00:41:11,120 Speaker 1: get to the end game economically, we're going to be 780 00:41:11,160 --> 00:41:14,560 Speaker 1: in better shape. Ironically, to state this way, five year 781 00:41:14,600 --> 00:41:18,080 Speaker 1: swords like Darwinianism, we forced ourselves to be a more 782 00:41:18,120 --> 00:41:22,360 Speaker 1: productive economy, right we listen. We've had tons of conversations 783 00:41:22,360 --> 00:41:26,920 Speaker 1: with CEOs and other individuals about how the pandemic accelerated 784 00:41:26,920 --> 00:41:30,120 Speaker 1: trends that you know, institutions, companies were gonna put in 785 00:41:30,120 --> 00:41:31,520 Speaker 1: place maybe over the next three to five years, and 786 00:41:31,520 --> 00:41:32,800 Speaker 1: all of a sudden they're like, bam, we got to 787 00:41:32,840 --> 00:41:35,799 Speaker 1: do it now, and so you don't go back. There's 788 00:41:35,800 --> 00:41:39,240 Speaker 1: no going back, and that certainly has a lasting impact 789 00:41:39,280 --> 00:41:41,200 Speaker 1: on our world. So what worries, what what what keeps 790 00:41:41,239 --> 00:41:43,680 Speaker 1: you up at night when it comes to investing and 791 00:41:43,760 --> 00:41:48,840 Speaker 1: investors portfolios. Well, I actually think the past events of 792 00:41:48,880 --> 00:41:51,760 Speaker 1: the past week have kind of humiliated humiliated the United 793 00:41:51,800 --> 00:41:54,479 Speaker 1: States in the country a bit, and we're perceived maybe 794 00:41:54,680 --> 00:41:56,680 Speaker 1: the world's a little less safe for a number of reasons. 795 00:41:57,080 --> 00:41:59,880 Speaker 1: What's going on in Afghanistan. I actually think candid some 796 00:42:00,080 --> 00:42:04,080 Speaker 1: degree impact the legislative agenda of the current administration. It 797 00:42:04,200 --> 00:42:06,600 Speaker 1: might change the dynamics of the political election new year 798 00:42:06,680 --> 00:42:09,000 Speaker 1: from now. But I also think you could end up 799 00:42:09,000 --> 00:42:12,440 Speaker 1: with unintended consequences geo politically, and things like that have 800 00:42:12,520 --> 00:42:15,600 Speaker 1: a funny way of creating sentiment overhangs on the stock market. 801 00:42:16,040 --> 00:42:19,400 Speaker 1: I think we actually are in somewhat of a implicit 802 00:42:19,600 --> 00:42:23,040 Speaker 1: tacit club war with China in a ran with all 803 00:42:23,040 --> 00:42:26,640 Speaker 1: the cyber securities wars back and forth, things like this 804 00:42:26,680 --> 00:42:28,479 Speaker 1: are going to come up. I can't tell you when 805 00:42:28,640 --> 00:42:30,560 Speaker 1: or what or how or why, but that's how you 806 00:42:30,600 --> 00:42:34,160 Speaker 1: get these intermittent ten percent corrections, which are usually just 807 00:42:34,239 --> 00:42:37,200 Speaker 1: corrections that keeps me up at night. That keeps me 808 00:42:37,280 --> 00:42:39,040 Speaker 1: up at night, right, But we haven't had a five 809 00:42:39,040 --> 00:42:42,400 Speaker 1: percent correction since late last year, so it's been a 810 00:42:42,400 --> 00:42:45,560 Speaker 1: long time. Allan, thank you so much. We always are 811 00:42:45,600 --> 00:42:47,400 Speaker 1: grateful when we get some time with you. Alan Safran, 812 00:42:47,600 --> 00:42:50,400 Speaker 1: he's founding partner in co CEO at I e Q Capital, 813 00:42:50,440 --> 00:42:54,719 Speaker 1: on the phone from Foster City, California. A great conversation, 814 00:42:55,080 --> 00:42:57,960 Speaker 1: always great when Alan joins us. And and look, Carol, 815 00:42:58,280 --> 00:43:00,400 Speaker 1: going into today, I thought, hey, this is going to 816 00:43:00,440 --> 00:43:03,440 Speaker 1: be a day that's actually not a record day. And 817 00:43:03,520 --> 00:43:05,640 Speaker 1: we look at the SMP five hundred and then down 818 00:43:05,680 --> 00:43:10,680 Speaker 1: they're eating out games late day rallies exactly. Thanks for 819 00:43:10,719 --> 00:43:14,440 Speaker 1: listening to Bloomberg Business Week. Download the podcast on iTunes, SoundCloud, 820 00:43:14,600 --> 00:43:16,719 Speaker 1: or Bloomberg dot com, and you can also listen to 821 00:43:16,760 --> 00:43:19,359 Speaker 1: our radio show at two pm Eastern on Bloomberg Radio 822 00:43:19,480 --> 00:43:22,240 Speaker 1: or watch us on YouTube. Search to Bloomberg Global News