1 00:00:01,400 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, along 2 00:00:04,120 --> 00:00:06,240 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 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple Podcasts or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:21,560 Speaker 1: and on Bloomberg dot com. Well, under the Trump administration, 7 00:00:21,600 --> 00:00:25,439 Speaker 1: the tensions the with and the relationships with China have 8 00:00:25,600 --> 00:00:29,160 Speaker 1: become rather strained. First it was trade tensions, tariffs, uh, 9 00:00:29,200 --> 00:00:31,319 Speaker 1: and mostly on the economic front. Now it's kind of 10 00:00:31,360 --> 00:00:34,879 Speaker 1: spilling into the political realm as well. We can get 11 00:00:34,920 --> 00:00:36,919 Speaker 1: the latest on all things he was China. We can 12 00:00:36,920 --> 00:00:39,800 Speaker 1: do that with Stephen Orleans, president of the National Committee 13 00:00:40,159 --> 00:00:43,040 Speaker 1: on US China Relations based in New York City. Steven, 14 00:00:43,040 --> 00:00:45,040 Speaker 1: thanks so much for joining us here. You've had such 15 00:00:45,400 --> 00:00:49,280 Speaker 1: a long history in China, dealing with the US and China, 16 00:00:49,360 --> 00:00:53,360 Speaker 1: the relationship they're doing business in China as well. What 17 00:00:53,440 --> 00:00:55,760 Speaker 1: if you could give us maybe your thirty thousand foot 18 00:00:55,840 --> 00:01:02,560 Speaker 1: view about the US China relationship right now from both sides. Well, 19 00:01:02,600 --> 00:01:05,080 Speaker 1: I've been working on it, i guess for forty three years, 20 00:01:05,160 --> 00:01:08,200 Speaker 1: since my time in the State Department and at Leban 21 00:01:08,240 --> 00:01:10,760 Speaker 1: Brothers in the Carlisle Group and now as President of 22 00:01:10,800 --> 00:01:14,280 Speaker 1: the National Committee on US China Relations. And I think 23 00:01:14,280 --> 00:01:16,600 Speaker 1: it's fair to say this is the worst that I've 24 00:01:16,640 --> 00:01:21,280 Speaker 1: ever seen the relationship. And it's a confluence of three factors, 25 00:01:21,319 --> 00:01:25,720 Speaker 1: and you have to look at the factors are related, 26 00:01:26,040 --> 00:01:28,480 Speaker 1: but to some degree there's still separate. One. You have 27 00:01:28,520 --> 00:01:31,960 Speaker 1: to remember the April seventeenth memo that leaked from the 28 00:01:32,000 --> 00:01:36,600 Speaker 1: Republican National Committee, which is when when the administration is 29 00:01:36,640 --> 00:01:41,319 Speaker 1: attacked on coronavirus issues there to say we banned Chinese 30 00:01:41,360 --> 00:01:44,360 Speaker 1: from coming and then blame China. So there has been 31 00:01:44,480 --> 00:01:50,120 Speaker 1: this very strong uh statements by the administration to blame 32 00:01:50,200 --> 00:01:53,480 Speaker 1: China for everything. That's that's one, So electoral politics is 33 00:01:53,480 --> 00:01:56,520 Speaker 1: a role. Second is what are called of the Navarro 34 00:01:56,920 --> 00:02:02,120 Speaker 1: Pompeo parts of the administration um where they really believe 35 00:02:02,200 --> 00:02:05,680 Speaker 1: China is an existential threat and they want and it's 36 00:02:05,840 --> 00:02:08,280 Speaker 1: going to change our way of life, and they're trying 37 00:02:08,320 --> 00:02:12,080 Speaker 1: to put in place policies which are irreversible. And the 38 00:02:12,160 --> 00:02:15,840 Speaker 1: third is Chinese actions where their actions in Hong Kong's, 39 00:02:15,880 --> 00:02:19,040 Speaker 1: their actions in xin Jong in the South China see 40 00:02:19,320 --> 00:02:22,240 Speaker 1: create an environment in the United States where there is 41 00:02:22,280 --> 00:02:27,760 Speaker 1: not huge opposition to these policies which get put in place. 42 00:02:28,040 --> 00:02:31,799 Speaker 1: And we're seeing pushback on on TikTok on w chat now, 43 00:02:31,840 --> 00:02:34,520 Speaker 1: but it's it's um, it's not as strong as it 44 00:02:34,520 --> 00:02:38,480 Speaker 1: would be if China wasn't acting the way it shouldn't be. Stephen, 45 00:02:38,480 --> 00:02:41,360 Speaker 1: when you say irreversible policies, what do you mean what 46 00:02:41,600 --> 00:02:46,040 Speaker 1: can't be reversed? Well, if you take, for instance, the 47 00:02:46,080 --> 00:02:50,400 Speaker 1: for sale of TikTok, that's irreversible. So if Microsoft and 48 00:02:50,760 --> 00:02:54,959 Speaker 1: ends up buying TikTok, then either a President Trump that 49 00:02:55,080 --> 00:02:58,639 Speaker 1: changes his mind or a President Biden can't go to Microsoft. 50 00:02:58,720 --> 00:03:01,760 Speaker 1: So how you spent and was just getting you can 51 00:03:02,040 --> 00:03:05,200 Speaker 1: you can now reverse that sale. So those kinds of 52 00:03:05,240 --> 00:03:10,120 Speaker 1: actions are irreversible, setting kind of a putting in place. 53 00:03:10,880 --> 00:03:15,280 Speaker 1: You know, the the Houston consulate closing is not irreversible. 54 00:03:15,400 --> 00:03:18,080 Speaker 1: That actually, you know, a new president or President Trump 55 00:03:18,160 --> 00:03:21,840 Speaker 1: changes his mind and says, okay, let's reopen the consulate, 56 00:03:21,880 --> 00:03:24,160 Speaker 1: and as a result of the American consulate in cheng 57 00:03:24,280 --> 00:03:30,000 Speaker 1: Doo will reopen. So there's reversible actions in their irreversible actions. 58 00:03:30,040 --> 00:03:32,480 Speaker 1: So Stephen, you know, I think maybe one of the 59 00:03:32,480 --> 00:03:37,720 Speaker 1: most reasonable views I've heard is that uh, okay, we 60 00:03:37,720 --> 00:03:40,320 Speaker 1: we as the United States, need to take a tougher 61 00:03:40,400 --> 00:03:43,000 Speaker 1: stance on China. A lot of people on both sides 62 00:03:43,000 --> 00:03:45,000 Speaker 1: of the ais'll agree upon that China has not been 63 00:03:45,040 --> 00:03:48,320 Speaker 1: fair and some of its relations, particularly economic and trade 64 00:03:48,320 --> 00:03:51,400 Speaker 1: relations with the US. But the way that President Trump 65 00:03:51,440 --> 00:03:54,400 Speaker 1: and his administration are going about it, uh is all wrong. 66 00:03:54,880 --> 00:03:59,760 Speaker 1: What's your view, It needs to be multilateral. To go 67 00:04:00,000 --> 00:04:03,880 Speaker 1: about this unilaterally will not work. So take as an 68 00:04:03,880 --> 00:04:06,440 Speaker 1: example one which kind of matters to your listeners, the 69 00:04:06,960 --> 00:04:10,120 Speaker 1: blocking of listings of Chinese companies in the United States. 70 00:04:10,560 --> 00:04:13,480 Speaker 1: When you do that unilaterally, you're playing whack a mole. 71 00:04:13,680 --> 00:04:17,640 Speaker 1: We haven't agreed with Hong Kong, Singapore, Tokyo, London to 72 00:04:17,760 --> 00:04:21,920 Speaker 1: have the same restrictions. So what happens is Nasdaq and 73 00:04:22,200 --> 00:04:25,800 Speaker 1: ny SE lose that business. The Chinese don't lose anything 74 00:04:26,200 --> 00:04:30,120 Speaker 1: that they basically will will issue in Hong Kong, Singapore, London, 75 00:04:30,240 --> 00:04:34,080 Speaker 1: or Tokyo. So if you don't have a multilateral approach, 76 00:04:34,200 --> 00:04:38,640 Speaker 1: this getting tough is really uh not an effective way 77 00:04:38,680 --> 00:04:41,080 Speaker 1: of of of operating. And a lot of the things 78 00:04:41,080 --> 00:04:43,520 Speaker 1: they want to get tough on our our, our, our 79 00:04:43,600 --> 00:04:46,279 Speaker 1: fictional You know, we have to have a real analysis. 80 00:04:46,320 --> 00:04:49,440 Speaker 1: We have to have a nuanced view of what is 81 00:04:49,480 --> 00:04:52,560 Speaker 1: going on in China. We don't. We saw today the 82 00:04:52,680 --> 00:04:57,359 Speaker 1: Chinese are expanding their digital currency. Central bank digital currency 83 00:04:57,480 --> 00:05:00,960 Speaker 1: is now uh it's in an experimental phase, but it's 84 00:05:01,000 --> 00:05:07,280 Speaker 1: going to expand greatly. That is a Chinese government competitor 85 00:05:07,800 --> 00:05:12,159 Speaker 1: to we chat, an alley pay that the Chinese government 86 00:05:12,200 --> 00:05:15,719 Speaker 1: is putting in place, competitors to these people who we 87 00:05:15,880 --> 00:05:18,159 Speaker 1: are trying to block in the United States. It's just 88 00:05:18,200 --> 00:05:22,200 Speaker 1: not there's no nuance in these views. What's the right 89 00:05:22,240 --> 00:05:25,200 Speaker 1: way to proceed. If Joe Biden were to win, and 90 00:05:25,200 --> 00:05:27,920 Speaker 1: obviously that's not at all you know, something that we 91 00:05:27,960 --> 00:05:32,560 Speaker 1: can predict, how would he proceed? I don't well, he 92 00:05:32,600 --> 00:05:34,760 Speaker 1: will have I mean, the biggest difference will be a 93 00:05:34,839 --> 00:05:40,080 Speaker 1: multilateral approach that Chinese that a lot of Chinese who 94 00:05:40,160 --> 00:05:43,440 Speaker 1: have a there who who believe China should exceed to 95 00:05:43,560 --> 00:05:47,080 Speaker 1: be the number one power in the world. Like President Trump, 96 00:05:47,480 --> 00:05:52,120 Speaker 1: they feel that his unilateral approaches, you know, his tariffs 97 00:05:52,120 --> 00:05:56,719 Speaker 1: on Canada, his his diminution of NATO, a lot of 98 00:05:56,760 --> 00:06:01,760 Speaker 1: things where he makes our allies less inclined to work 99 00:06:01,760 --> 00:06:04,479 Speaker 1: with US is good for China. That basically lays a 100 00:06:04,560 --> 00:06:09,000 Speaker 1: path for China to operate. What President Biden will operate 101 00:06:09,040 --> 00:06:13,520 Speaker 1: on is a multilateral approach, and that can be very 102 00:06:13,560 --> 00:06:17,920 Speaker 1: problematic for some of China's plans. So if we had 103 00:06:18,000 --> 00:06:21,200 Speaker 1: something equivalent to a t p P UH, it would 104 00:06:21,279 --> 00:06:26,839 Speaker 1: force China to change its trade policies, it's investment policies, 105 00:06:27,279 --> 00:06:30,520 Speaker 1: it's protection of data policies. That t p P had 106 00:06:30,640 --> 00:06:33,680 Speaker 1: lots of things in it which China would have had 107 00:06:33,720 --> 00:06:37,520 Speaker 1: to agree to in the end or would have been 108 00:06:37,520 --> 00:06:40,560 Speaker 1: excluded from this global training system. So I think the 109 00:06:40,600 --> 00:06:46,240 Speaker 1: big difference is multilateral versus unilateral. Alright, Steven, thirty seconds left. 110 00:06:46,279 --> 00:06:48,400 Speaker 1: What is your view or what do you think the 111 00:06:48,520 --> 00:06:50,839 Speaker 1: view is in with within China as it relates to 112 00:06:50,920 --> 00:06:53,200 Speaker 1: kind of how they should proceed with the United States 113 00:06:53,200 --> 00:06:57,600 Speaker 1: over the next ten years. Well, they're they're worried about 114 00:06:57,640 --> 00:07:01,160 Speaker 1: the next eight three days, you know. They they think 115 00:07:01,200 --> 00:07:05,320 Speaker 1: that they're they're very focused on not overreacting to the 116 00:07:05,360 --> 00:07:08,960 Speaker 1: provocations from the Trump administration. They believe that either a 117 00:07:09,279 --> 00:07:13,480 Speaker 1: re elected President Trump or an elected President Biden would 118 00:07:14,040 --> 00:07:17,680 Speaker 1: have different policies towards China. I think in the long 119 00:07:17,800 --> 00:07:20,440 Speaker 1: term they're looking for China. You know, again, there is 120 00:07:20,520 --> 00:07:23,679 Speaker 1: no Chinese government view. It's it's a lack of nuance. 121 00:07:23,920 --> 00:07:27,320 Speaker 1: There are people in the Chinese government with different views. 122 00:07:28,040 --> 00:07:31,800 Speaker 1: Some want a very constructive, productive relationship with the United States, 123 00:07:31,800 --> 00:07:34,360 Speaker 1: some want to confront the United States. So we need 124 00:07:34,400 --> 00:07:38,480 Speaker 1: to adopt policies which reward those who want to cooperate 125 00:07:38,560 --> 00:07:41,240 Speaker 1: with the United States. And again, you need nuance in 126 00:07:41,280 --> 00:07:44,960 Speaker 1: policy and need people who understand China in government to 127 00:07:45,040 --> 00:07:48,800 Speaker 1: make those decisions. Stephen, we have to leave it there, 128 00:07:48,840 --> 00:07:52,960 Speaker 1: but it is an excellent, you know, chance to speak 129 00:07:53,000 --> 00:07:55,560 Speaker 1: with you. Steven Orleans as President of the National Committee 130 00:07:55,560 --> 00:08:00,400 Speaker 1: in US China Relations. So we know, we tale that's 131 00:08:00,440 --> 00:08:02,840 Speaker 1: had a tough time. It's been having a tough time, 132 00:08:03,160 --> 00:08:06,880 Speaker 1: as they say. And now bankruptcies have started in earnest. 133 00:08:06,920 --> 00:08:08,920 Speaker 1: Let's bring in somebody who is a bit more at 134 00:08:08,920 --> 00:08:12,840 Speaker 1: the cold face of retail and husband for decades, Craig Johnson, 135 00:08:12,840 --> 00:08:17,360 Speaker 1: as president of Customer Growth Partners. Craig, where are we 136 00:08:17,520 --> 00:08:22,960 Speaker 1: in the bankruptcy you know cycle? Are we halfway through? Yes? 137 00:08:23,120 --> 00:08:28,520 Speaker 1: Are we? You done well in terms of the bankruptcies 138 00:08:28,560 --> 00:08:31,480 Speaker 1: that occurred so far. We think we're i'd say about 139 00:08:31,480 --> 00:08:35,840 Speaker 1: halfway done, maybe fifth or sixth spending. Um. This actually 140 00:08:35,920 --> 00:08:41,000 Speaker 1: isn't a sign of unhealth on the behalf of retailers. 141 00:08:41,480 --> 00:08:43,680 Speaker 1: It's really a sign of weeding out of the poor 142 00:08:43,720 --> 00:08:46,640 Speaker 1: performers and the poor players and what has been a 143 00:08:46,800 --> 00:08:52,440 Speaker 1: vastly overcapacity industry that should have been right sizing normally 144 00:08:52,520 --> 00:08:56,600 Speaker 1: five every year, weeding out the week stores, the weak competitors, 145 00:08:56,800 --> 00:08:58,920 Speaker 1: and has put that up. So what we've had, by 146 00:08:58,960 --> 00:09:02,480 Speaker 1: dint of the whole cod but closures is a forced 147 00:09:02,600 --> 00:09:05,640 Speaker 1: right sizing, and that's what we're saying. It's interesting, it 148 00:09:05,679 --> 00:09:08,240 Speaker 1: seems like when we've listened to a lot of the retailers, 149 00:09:08,240 --> 00:09:10,760 Speaker 1: particularly the Parker stores, it seems like over the last 150 00:09:10,760 --> 00:09:13,520 Speaker 1: several years we've been hearing announcements of a hundred stores here, 151 00:09:13,559 --> 00:09:16,640 Speaker 1: two hundred stores there. Are you saying that that's still 152 00:09:16,679 --> 00:09:20,600 Speaker 1: not enough, that this industry really needs a We're still 153 00:09:20,640 --> 00:09:24,400 Speaker 1: you know, overstored by maybe thirty in this country. I 154 00:09:24,400 --> 00:09:28,800 Speaker 1: would maybe not thirty percent, but by a good And yes, 155 00:09:28,800 --> 00:09:31,280 Speaker 1: there have been cutbacks that the department stars. Remember you 156 00:09:31,320 --> 00:09:35,320 Speaker 1: go back to generation ago, comprised ten per cent of 157 00:09:35,400 --> 00:09:39,640 Speaker 1: the entire retail market. Now it's down to zero point 158 00:09:39,720 --> 00:09:46,480 Speaker 1: nine percent. So you do the math, Craig, Who's next? Um, 159 00:09:46,520 --> 00:09:48,679 Speaker 1: I'm not I'm not sure who is next. We don't 160 00:09:48,720 --> 00:09:51,199 Speaker 1: like to speculate on on on on people going through 161 00:09:51,280 --> 00:09:53,760 Speaker 1: chapter eleven. But I can say that you know the 162 00:09:53,800 --> 00:09:56,720 Speaker 1: people who are that that are the share gainers of 163 00:09:56,760 --> 00:10:00,280 Speaker 1: these companies? Are you know? Round up that the top 164 00:10:00,320 --> 00:10:05,040 Speaker 1: six usual suspects, you know, Walmart, Amazon, Costco, Target, Home 165 00:10:05,120 --> 00:10:09,800 Speaker 1: depoet lows All, had Stour are having stellar quarters, had 166 00:10:09,840 --> 00:10:13,239 Speaker 1: stellar cards, haven't reported still beginning, But we can identify 167 00:10:13,360 --> 00:10:15,839 Speaker 1: some of those that have been lagging, right, Craig, I 168 00:10:15,880 --> 00:10:18,440 Speaker 1: mean some of those who just were not prepared for 169 00:10:18,600 --> 00:10:22,160 Speaker 1: a downturn in the economy, who weren't getting consumer tastes right, 170 00:10:22,360 --> 00:10:26,600 Speaker 1: who were maybe over discounting or not discounting enough. I mean, 171 00:10:26,679 --> 00:10:28,880 Speaker 1: what were the mistakes? If we can't, if you can't 172 00:10:28,880 --> 00:10:31,079 Speaker 1: mention the names, then at least let's mention some of 173 00:10:31,120 --> 00:10:34,839 Speaker 1: the mistakes they make. Absolutely, So you take let's take 174 00:10:34,880 --> 00:10:36,960 Speaker 1: a couple of department stores where the J C. Panni 175 00:10:37,000 --> 00:10:39,120 Speaker 1: your name and markers are most recently like a day 176 00:10:39,120 --> 00:10:44,160 Speaker 1: after ago, um Stein mart Um, and the commonality is 177 00:10:44,160 --> 00:10:49,200 Speaker 1: is that they did not shrink their store footprint in commencially, 178 00:10:49,880 --> 00:10:53,040 Speaker 1: um with the decline in aggregate to man people, just 179 00:10:54,320 --> 00:10:59,040 Speaker 1: what department stores offer, even includings Markman markers, is not 180 00:10:59,240 --> 00:11:02,640 Speaker 1: as relevant to customers as it was even five years ago, 181 00:11:02,760 --> 00:11:06,240 Speaker 1: much less twenty years ago. And um so those are few. 182 00:11:06,400 --> 00:11:08,360 Speaker 1: The other part of it as apparel, apparel is shrunk 183 00:11:08,440 --> 00:11:11,480 Speaker 1: dramatically over the years in terms of aggregate demand, um, 184 00:11:11,559 --> 00:11:13,880 Speaker 1: and yet there still seems to be plenty of retail 185 00:11:13,960 --> 00:11:16,440 Speaker 1: square feet out there even after the closes we've had, 186 00:11:17,080 --> 00:11:19,559 Speaker 1: uh in the apparel sector. And you know, as the 187 00:11:19,760 --> 00:11:21,480 Speaker 1: senior brand, you know, a parent of an Taylor and 188 00:11:21,600 --> 00:11:24,960 Speaker 1: Justice and Lost and so forth, they went chapter eleven 189 00:11:25,480 --> 00:11:27,760 Speaker 1: months and a half or so ago, and you know, 190 00:11:27,840 --> 00:11:30,199 Speaker 1: we're wouldn't be at all surprised, as the other folks 191 00:11:30,280 --> 00:11:32,800 Speaker 1: go that way as well. So Craig, I was in 192 00:11:32,840 --> 00:11:35,280 Speaker 1: New York City, UH last week for the first time 193 00:11:35,280 --> 00:11:37,560 Speaker 1: since the lockdown in March, and I was just shocked 194 00:11:37,559 --> 00:11:40,800 Speaker 1: at driving in about you know, all the empty storefronts, 195 00:11:40,840 --> 00:11:44,280 Speaker 1: all the sales saying, you know, store front for for 196 00:11:44,320 --> 00:11:46,320 Speaker 1: rent and for lease and all that type of stuff. 197 00:11:46,360 --> 00:11:49,280 Speaker 1: And I'm I really fear for not so much the 198 00:11:49,320 --> 00:11:51,160 Speaker 1: walmarts and costcos of the world on the on the 199 00:11:51,160 --> 00:11:55,040 Speaker 1: retail front, but really the mom and pop retailers, it 200 00:11:55,080 --> 00:11:59,440 Speaker 1: looks like they're just getting really really impacted here. Yeah, 201 00:12:00,160 --> 00:12:02,800 Speaker 1: you're on Fifth Avenue or your lower Fifth and lower 202 00:12:02,840 --> 00:12:06,920 Speaker 1: Broadway and soho. Um, it's like a retail ghost town. 203 00:12:07,440 --> 00:12:10,680 Speaker 1: It's uh, it's really sad in a sense. Um. But 204 00:12:10,960 --> 00:12:14,160 Speaker 1: if customers don't want to go, Joeghi Barritt used to say, 205 00:12:14,400 --> 00:12:16,800 Speaker 1: if people don't want to go to the ballpark, you're 206 00:12:16,800 --> 00:12:19,840 Speaker 1: not going to stop them. And that's what we have here, 207 00:12:19,840 --> 00:12:21,600 Speaker 1: is that people just don't want to go into the city. 208 00:12:21,640 --> 00:12:23,719 Speaker 1: They don't feel safe, comfortable, and when they see pa 209 00:12:23,960 --> 00:12:27,120 Speaker 1: boarded up and uh, you know, looting going on with it. 210 00:12:27,200 --> 00:12:30,240 Speaker 1: I'm I'm in Chicago and originally was very sad to 211 00:12:30,240 --> 00:12:33,960 Speaker 1: see the entire magnivocent mile just trashed a few days ago. 212 00:12:34,120 --> 00:12:38,600 Speaker 1: And well, because I live very clost to certain areas 213 00:12:38,640 --> 00:12:40,600 Speaker 1: and and you know, there was some looting in the 214 00:12:40,679 --> 00:12:42,079 Speaker 1: early days, and then there was a little bit of 215 00:12:42,120 --> 00:12:45,959 Speaker 1: looting in Chicago, but let's not overpainted as as mass looting. 216 00:12:46,080 --> 00:12:48,840 Speaker 1: Fifth Avenue, for example, back when there are lots of 217 00:12:48,840 --> 00:12:53,120 Speaker 1: reports that it was being looted, was only in parts damaged, 218 00:12:53,200 --> 00:12:54,880 Speaker 1: and a lot of the inventory had already been taken 219 00:12:54,880 --> 00:12:57,439 Speaker 1: out of thanks to coronavirus or just putting that out there, 220 00:12:59,080 --> 00:13:03,280 Speaker 1: so it's too would maybe, but just consumers. Consumers had 221 00:13:03,320 --> 00:13:06,560 Speaker 1: great confidence and what's going on, and then we would 222 00:13:06,559 --> 00:13:09,080 Speaker 1: see more traffic, and without traffic, a lot of these 223 00:13:09,080 --> 00:13:10,959 Speaker 1: stories are not gonna make it. I mean, yes, the 224 00:13:11,040 --> 00:13:14,400 Speaker 1: Sacks will make it, and LV is gonna make it, 225 00:13:14,440 --> 00:13:18,160 Speaker 1: and god knows, Costco and Wombark they're fine. But stories 226 00:13:18,200 --> 00:13:20,520 Speaker 1: that don't have that kind of financial strength or customer 227 00:13:20,600 --> 00:13:24,359 Speaker 1: strength are going to be challenged. So, Craig, this is pandemic. 228 00:13:24,400 --> 00:13:26,679 Speaker 1: I mean, I guess the question for a lot of 229 00:13:26,679 --> 00:13:31,200 Speaker 1: retailers is how permanent has the accelerated shift to online shopping, 230 00:13:31,200 --> 00:13:33,920 Speaker 1: how permanent wi LEPP be, or when we do get 231 00:13:33,960 --> 00:13:37,600 Speaker 1: back to quote unquote a normal day to day life, 232 00:13:37,600 --> 00:13:41,760 Speaker 1: will people go back to stores. What's your view? Well, 233 00:13:41,920 --> 00:13:46,720 Speaker 1: UM last year online comprised about eighteen percent of total 234 00:13:46,760 --> 00:13:49,520 Speaker 1: retail sales. UH This year at the peak of the 235 00:13:49,520 --> 00:13:53,640 Speaker 1: pandemic period, UM in April jumped up to about twenty 236 00:13:54,640 --> 00:13:56,640 Speaker 1: and the since ratchet back a little bit as the 237 00:13:56,640 --> 00:14:00,240 Speaker 1: stories are reopened in May and June et cetera. Um, 238 00:14:00,320 --> 00:14:05,000 Speaker 1: so that penetration is down to about But what that 239 00:14:05,080 --> 00:14:08,400 Speaker 1: means is we have usually online grows about at one 240 00:14:08,440 --> 00:14:11,679 Speaker 1: point a year ballpark, and what we've done essentially is 241 00:14:12,600 --> 00:14:16,560 Speaker 1: packed five years of growth into five months. Other with's 242 00:14:16,559 --> 00:14:19,400 Speaker 1: the eighteen to and so we think things are going 243 00:14:19,440 --> 00:14:24,080 Speaker 1: to stabilize at about and then proceed to the normal 244 00:14:24,320 --> 00:14:26,160 Speaker 1: you know about what adding about a point or two 245 00:14:26,160 --> 00:14:29,360 Speaker 1: a point say a penetration a year, uh, and that 246 00:14:29,560 --> 00:14:32,640 Speaker 1: is that we think that is a permanent change with 247 00:14:32,800 --> 00:14:36,000 Speaker 1: this obviously with this ratchet, big ratchet, five point ratchet 248 00:14:36,080 --> 00:14:40,760 Speaker 1: up this this year very interesting. Really appreciate that. Craig Johnson, 249 00:14:40,800 --> 00:14:42,720 Speaker 1: thanks so much for joining us. Craig Johnson, President of 250 00:14:42,720 --> 00:14:47,520 Speaker 1: Customer Growth Partners. Well, we are so fortunate to have 251 00:14:47,800 --> 00:14:50,800 Speaker 1: the good folks at Johns Hopkins University lend us their 252 00:14:50,920 --> 00:14:54,880 Speaker 1: time to hear Bloomberg Radio to help us stay educated 253 00:14:55,080 --> 00:14:57,240 Speaker 1: and stay on the top of the news on what's 254 00:14:57,240 --> 00:15:00,680 Speaker 1: going on with this virus and remedies and pretend chi vaccines. 255 00:15:00,760 --> 00:15:03,360 Speaker 1: Lauren Sour has been a great friend to Bloomberg Radio 256 00:15:03,400 --> 00:15:05,480 Speaker 1: and keeping us up to date on all the latest developments. 257 00:15:05,640 --> 00:15:08,680 Speaker 1: Lauren is the Assistant Professor of Emergency Medicine at John's 258 00:15:08,720 --> 00:15:12,000 Speaker 1: Hopson School of Medicine. I should note that Bloomberg School 259 00:15:12,280 --> 00:15:14,680 Speaker 1: a Public Health is supported by Michael Are Bloomberg, founder 260 00:15:14,680 --> 00:15:17,720 Speaker 1: of Bloomberg LP and Bloomberg Philanthropies, and this radio and 261 00:15:17,760 --> 00:15:21,640 Speaker 1: TV station. So, Lauren, let's start a little bit with vaccines, 262 00:15:22,000 --> 00:15:25,640 Speaker 1: because I'm I'm really I'm just kind of wondering what 263 00:15:25,760 --> 00:15:28,760 Speaker 1: is going on in Russia. They say they have a 264 00:15:28,920 --> 00:15:32,400 Speaker 1: COVID vaccine, they say it's safe, but there really hasn't 265 00:15:32,400 --> 00:15:37,000 Speaker 1: been any real phase three testing. Has there? No, there hasn't, 266 00:15:37,000 --> 00:15:38,800 Speaker 1: And that is one of the biggest concerns that we 267 00:15:38,920 --> 00:15:41,240 Speaker 1: have right now. UM, when we look at what's happening 268 00:15:41,280 --> 00:15:44,360 Speaker 1: in Russia with their vaccine clan UM, it's being rolled 269 00:15:44,400 --> 00:15:48,000 Speaker 1: out uh without phase three UM, which can lead to 270 00:15:48,040 --> 00:15:51,040 Speaker 1: a lot of downstream challenges that normally you would see 271 00:15:51,160 --> 00:15:56,240 Speaker 1: during that phase three process. So UM, different effects that 272 00:15:56,280 --> 00:15:59,560 Speaker 1: the vaccine can have on a population, different challenges with 273 00:15:59,720 --> 00:16:02,680 Speaker 1: rolling out just the operational process of rolling out vaccine, 274 00:16:02,680 --> 00:16:05,560 Speaker 1: and even more safety data is gathered during that phase 275 00:16:05,600 --> 00:16:08,440 Speaker 1: three as well. And so by skipping that, they not 276 00:16:08,560 --> 00:16:11,960 Speaker 1: only have the potential to harm the population that is 277 00:16:12,000 --> 00:16:15,840 Speaker 1: receiving the vaccine, but there are significant downstream effects that 278 00:16:15,840 --> 00:16:20,920 Speaker 1: can happen as well outside of that specific vaccinated population. Yeah, 279 00:16:20,920 --> 00:16:23,120 Speaker 1: can you explain a bit further, Lauren as to what 280 00:16:23,160 --> 00:16:28,680 Speaker 1: that might look like. Sure, So, UM, the vaccine can 281 00:16:28,680 --> 00:16:33,440 Speaker 1: create UM antibody dependent effects. UM that can impact how 282 00:16:33,600 --> 00:16:36,560 Speaker 1: the virus spreads in the community for those who have 283 00:16:36,680 --> 00:16:40,040 Speaker 1: been vaccine those who haven't been vaccinated. In addition their 284 00:16:40,200 --> 00:16:43,960 Speaker 1: challenges like, uh, if we find that there are safety 285 00:16:44,000 --> 00:16:47,880 Speaker 1: effects in this broader population, this more diverse population. When 286 00:16:47,880 --> 00:16:50,440 Speaker 1: we do phase one and phase two studies, we're looking 287 00:16:50,480 --> 00:16:54,720 Speaker 1: for relatively healthy population with certain levels of potential exposure, 288 00:16:54,800 --> 00:16:58,040 Speaker 1: and that Phase three moves us into a population that's 289 00:16:58,080 --> 00:17:02,400 Speaker 1: more representative of the general community, and so we may 290 00:17:02,440 --> 00:17:06,680 Speaker 1: identify safety challenges that um, we didn't see in those 291 00:17:06,680 --> 00:17:11,120 Speaker 1: early phases that could could could create dramatic health effects 292 00:17:11,160 --> 00:17:13,720 Speaker 1: for people who are receiving the vaccine more broadly that 293 00:17:13,800 --> 00:17:17,320 Speaker 1: we didn't see early. So, Lauren, just we'll just finish 294 00:17:17,400 --> 00:17:21,160 Speaker 1: up on this Russia aspect, will you? And other folks 295 00:17:21,240 --> 00:17:24,480 Speaker 1: in the Western the healthcare field, we have the opportunity 296 00:17:24,520 --> 00:17:26,760 Speaker 1: to kind of see what's going on in Russia. Do 297 00:17:26,760 --> 00:17:29,479 Speaker 1: you think they're going to be disclosing credible information so 298 00:17:29,520 --> 00:17:31,399 Speaker 1: that we can even get a read on how this 299 00:17:31,480 --> 00:17:35,600 Speaker 1: is proceeding. I think that's the hope. You know, we UM, 300 00:17:35,760 --> 00:17:38,600 Speaker 1: we recognize that we may not have the full picture, 301 00:17:38,680 --> 00:17:41,119 Speaker 1: but I think, UM, some of the safety information, some 302 00:17:41,200 --> 00:17:44,600 Speaker 1: of this potential a D issue will be seen UM, 303 00:17:44,640 --> 00:17:48,000 Speaker 1: whether or not it's seen through the you know, formally 304 00:17:48,000 --> 00:17:53,840 Speaker 1: transmitted data or more informally through UM observation external observation. UM. 305 00:17:54,080 --> 00:17:57,880 Speaker 1: We are hoping I think that they that they actually 306 00:17:58,040 --> 00:18:00,680 Speaker 1: consider coming back to the idea of ducting a phase 307 00:18:00,720 --> 00:18:04,360 Speaker 1: three trial before they push it more broadly UM. And 308 00:18:04,359 --> 00:18:07,639 Speaker 1: and I think only time will tell them that, Lauren, 309 00:18:07,720 --> 00:18:11,879 Speaker 1: where are we in the sort of evolution of the 310 00:18:11,920 --> 00:18:16,080 Speaker 1: coronavirus across the United States? You know, have we hit peak? Yes? 311 00:18:16,680 --> 00:18:19,600 Speaker 1: Will there be further peaks? When does it come back 312 00:18:19,600 --> 00:18:22,480 Speaker 1: to the East coast and in in in bigger numbers. 313 00:18:23,760 --> 00:18:25,359 Speaker 1: But we have a lot to learn about how the 314 00:18:25,440 --> 00:18:28,960 Speaker 1: virus is UM going to have potential seasonality or how 315 00:18:29,000 --> 00:18:32,720 Speaker 1: it will UM come and go UM from the various populations. 316 00:18:32,760 --> 00:18:35,040 Speaker 1: And some of that also will inform us a bit 317 00:18:35,040 --> 00:18:39,520 Speaker 1: more about likelihood of reinfection and how immunity lasts. UM. 318 00:18:39,680 --> 00:18:42,160 Speaker 1: So I think in a lot of places across the country, 319 00:18:42,240 --> 00:18:44,399 Speaker 1: we are starting to see a leveling off and we 320 00:18:44,480 --> 00:18:47,560 Speaker 1: hope that that maintains, and we hope that UM that 321 00:18:47,600 --> 00:18:51,320 Speaker 1: buys us time to create some of these pharmaceutical interventions 322 00:18:51,359 --> 00:18:53,920 Speaker 1: and improve some of the pharmaceutical interventions like vaccines and 323 00:18:54,040 --> 00:18:58,119 Speaker 1: some of our therapeutics. You know, therapeutics don't stop outbreaks, 324 00:18:58,240 --> 00:19:01,959 Speaker 1: they improve outcomes, and so are the vaccine is one 325 00:19:01,960 --> 00:19:04,640 Speaker 1: of our highest priorities. But we are going to see 326 00:19:04,680 --> 00:19:08,400 Speaker 1: peaks moving UM, you know, and and communities that seem 327 00:19:08,480 --> 00:19:11,400 Speaker 1: to have had the viruses under the virus under control 328 00:19:11,960 --> 00:19:15,800 Speaker 1: have follow on peaks again as people get less get 329 00:19:15,800 --> 00:19:18,440 Speaker 1: more lenient with their behaviors or their UM, you know, 330 00:19:18,480 --> 00:19:22,119 Speaker 1: their adherence to these new behaviors, and just the general 331 00:19:22,160 --> 00:19:25,320 Speaker 1: mixing and the population with the fall UM and the 332 00:19:25,400 --> 00:19:28,679 Speaker 1: challenges associated with back to school, which were already seeing 333 00:19:28,840 --> 00:19:32,640 Speaker 1: UM with the potential for UH flu season, and UM 334 00:19:32,680 --> 00:19:38,440 Speaker 1: with the holidays. So, Lauren, when vaccines do become available, 335 00:19:38,440 --> 00:19:42,159 Speaker 1: hopefully sometime next year, is the expectation within the healthcare 336 00:19:42,200 --> 00:19:47,440 Speaker 1: community that I guess vulnerable populations will be targeted first 337 00:19:47,440 --> 00:19:51,640 Speaker 1: for distribution and then maybe more broadly after that. Yeah, 338 00:19:51,640 --> 00:19:56,080 Speaker 1: there's several groups working on some different prioritization strategies UM. 339 00:19:56,119 --> 00:19:58,399 Speaker 1: And this is something that we have done for a 340 00:19:58,400 --> 00:20:00,399 Speaker 1: long time with a lot of different facts scene. So 341 00:20:00,440 --> 00:20:04,520 Speaker 1: there are several groups that are are very UM skilled 342 00:20:04,840 --> 00:20:08,000 Speaker 1: in in this and and can use the population data 343 00:20:08,119 --> 00:20:12,199 Speaker 1: to prioritize who should get the vaccine first. UM. We 344 00:20:12,240 --> 00:20:15,240 Speaker 1: do think a lot about our vulnerable communities. We also 345 00:20:15,280 --> 00:20:18,400 Speaker 1: think a lot about essential personnel, particularly healthcare workers who 346 00:20:18,400 --> 00:20:21,320 Speaker 1: have that higher level of exposure. UM. And then some 347 00:20:21,400 --> 00:20:23,720 Speaker 1: of the vaccines the early vaccine data in the Phase 348 00:20:23,760 --> 00:20:26,560 Speaker 1: three data will help us will help inform these groups 349 00:20:26,560 --> 00:20:31,280 Speaker 1: on how they target UM their priority rollout. Lauren, what 350 00:20:31,280 --> 00:20:35,960 Speaker 1: what is the top things that people should watch now 351 00:20:36,000 --> 00:20:39,840 Speaker 1: that it's sort of back to school era and UM, 352 00:20:39,880 --> 00:20:41,879 Speaker 1: you know, maybe there's a little bit of fatigue sitting 353 00:20:41,880 --> 00:20:46,520 Speaker 1: in Yeah. I think it's um, it's a slightly worrying combination. 354 00:20:46,760 --> 00:20:50,080 Speaker 1: So UM, you know, we we as a country sort 355 00:20:50,119 --> 00:20:54,520 Speaker 1: of made the choice to reopen broad broad communities and um, 356 00:20:54,600 --> 00:20:56,560 Speaker 1: you know, things like bars and restaurants, and that I 357 00:20:56,560 --> 00:21:00,560 Speaker 1: think is impacting our ability now to safely reopen school halls. 358 00:21:00,800 --> 00:21:04,119 Speaker 1: You know, up to the up to early July, we 359 00:21:04,160 --> 00:21:07,000 Speaker 1: had about two hundred thousand pieces of COVID nineteen nine kids, 360 00:21:07,040 --> 00:21:09,800 Speaker 1: and from July to now we have almost the exact 361 00:21:09,840 --> 00:21:13,160 Speaker 1: same amount. So that's worrisome and I think is indicative 362 00:21:13,480 --> 00:21:15,480 Speaker 1: of some changes that need to happen with how we 363 00:21:15,560 --> 00:21:19,159 Speaker 1: safely reopened schools. When you think about that, coupled with 364 00:21:19,320 --> 00:21:22,080 Speaker 1: possible flu season, um, even if it is a later 365 00:21:22,160 --> 00:21:25,560 Speaker 1: flu season, because of this distancing, we're very worried, um 366 00:21:25,600 --> 00:21:27,399 Speaker 1: and we have to pay really close attention to it. 367 00:21:27,720 --> 00:21:31,240 Speaker 1: Lauren Sawery Johns Hopkins University. Always an absolute pleasure, and 368 00:21:31,320 --> 00:21:35,960 Speaker 1: thank you for your time. So let's bring in the 369 00:21:36,080 --> 00:21:39,200 Speaker 1: editor of the Bloomberg Brief on Municipal markets, Joe Mysak. 370 00:21:39,200 --> 00:21:42,439 Speaker 1: He comes to us in our Interactive broker's studio in 371 00:21:42,560 --> 00:21:47,119 Speaker 1: New York. Joe, Obviously, the chat about further stimulus is 372 00:21:47,240 --> 00:21:49,840 Speaker 1: a tiny bit put on polls because actually we're not 373 00:21:49,840 --> 00:21:52,080 Speaker 1: getting any signals at all out of Washington that there 374 00:21:52,119 --> 00:21:54,399 Speaker 1: will be further stimulus, but there have to be. Is 375 00:21:54,400 --> 00:22:01,359 Speaker 1: the MENI market getting ready? Oh wow? Is the topic 376 00:22:01,400 --> 00:22:05,639 Speaker 1: on everyone's minds, and some people think that yeah, this 377 00:22:05,760 --> 00:22:08,480 Speaker 1: is gonna get done. Others don't. There was one line 378 00:22:08,920 --> 00:22:13,439 Speaker 1: in the story we carried today by Bloomberg Billy House, 379 00:22:14,000 --> 00:22:17,440 Speaker 1: and uh, it was a quote from Mitch McConnell, and 380 00:22:17,520 --> 00:22:20,359 Speaker 1: it was this. It was it was bizarre, I think 381 00:22:20,359 --> 00:22:24,080 Speaker 1: he said, quote. Democrats think they smell an opening. They 382 00:22:24,080 --> 00:22:27,880 Speaker 1: have wanted for years to make Uncle Sam bailout decades 383 00:22:27,920 --> 00:22:31,880 Speaker 1: of mismanagement at broken policies in places like New York, 384 00:22:31,960 --> 00:22:36,920 Speaker 1: New Jersey, and California. Not just you know, stop right there, 385 00:22:37,600 --> 00:22:42,080 Speaker 1: New York, New Jersey, California. These three states make up 386 00:22:42,080 --> 00:22:46,159 Speaker 1: twenty five percent of the nation's GDP. California is what 387 00:22:46,320 --> 00:22:49,120 Speaker 1: I think, the fifth largest economy in the world if 388 00:22:49,320 --> 00:22:54,240 Speaker 1: taken on its own. I don't see where McConnell gets that. 389 00:22:54,440 --> 00:22:57,720 Speaker 1: New Jersey, yes, is that some pension problems. Surprise you 390 00:22:57,760 --> 00:23:01,480 Speaker 1: didn't bring up illinoisa there. Uh, certainly should bring up Kentucky, 391 00:23:01,600 --> 00:23:06,560 Speaker 1: which has a notable pension shortfall problem. Anyway, So yeah, 392 00:23:06,600 --> 00:23:10,080 Speaker 1: this is this is really the issue on everyone's bend 393 00:23:10,200 --> 00:23:12,840 Speaker 1: right now. All right, Joe, you mentioned the great state 394 00:23:12,840 --> 00:23:15,399 Speaker 1: of New Jersey. I'm sitting smack dab in that state 395 00:23:15,520 --> 00:23:17,719 Speaker 1: right now, and I saw some news recently that the 396 00:23:17,760 --> 00:23:20,879 Speaker 1: top court approved the state's planned to borrow up to 397 00:23:21,000 --> 00:23:24,200 Speaker 1: I guess close to ten billion dollars to cover its deficit. 398 00:23:24,480 --> 00:23:28,000 Speaker 1: What does the meaning bond market think about that? Well, 399 00:23:28,040 --> 00:23:33,880 Speaker 1: you know, I'll tell you we have almost microscopic yields 400 00:23:34,880 --> 00:23:40,200 Speaker 1: right now. And to the extent that New Jersey sells 401 00:23:40,720 --> 00:23:44,200 Speaker 1: all the bonds part of them. Um, and there's any 402 00:23:44,280 --> 00:23:47,399 Speaker 1: kind of yield at all attached to him. Uh, you know, 403 00:23:47,560 --> 00:23:51,200 Speaker 1: marketed either right up. Because New Jersey again it's I think, 404 00:23:51,400 --> 00:23:55,760 Speaker 1: uh number eight, eight, eight or nine in the rankings 405 00:23:55,800 --> 00:23:58,320 Speaker 1: of states listed by g d P. So you know, 406 00:23:58,359 --> 00:24:01,760 Speaker 1: New Jersey is a is a it's a little financial 407 00:24:01,760 --> 00:24:04,400 Speaker 1: engine too, if you will, you know, yeah, they've had 408 00:24:04,600 --> 00:24:07,880 Speaker 1: problems with the pension and problems with the budget. Murphy 409 00:24:07,960 --> 00:24:10,280 Speaker 1: governor Worthy seems like, you you know, kind of a 410 00:24:10,440 --> 00:24:13,560 Speaker 1: steady hand at the wheel. Um. So yeah, I had 411 00:24:13,600 --> 00:24:15,840 Speaker 1: to walk. I would eat these up because right now 412 00:24:15,880 --> 00:24:18,359 Speaker 1: the market is uh, you know, we haven't seen a 413 00:24:18,440 --> 00:24:22,840 Speaker 1: tremendous amount of supply, so yeah, these are the marketing 414 00:24:22,960 --> 00:24:27,720 Speaker 1: got up, Joe. I mean remember when Mary do with 415 00:24:27,880 --> 00:24:31,520 Speaker 1: he made that prediction way back after the financial crisis, 416 00:24:31,560 --> 00:24:33,720 Speaker 1: and you know it sort of could have gone either way. 417 00:24:33,760 --> 00:24:35,439 Speaker 1: I mean a lot of people believe what she had 418 00:24:35,480 --> 00:24:38,560 Speaker 1: to say and thought that armageddon was coming for municipalities. 419 00:24:38,960 --> 00:24:41,440 Speaker 1: Is there any chance that that something like that is 420 00:24:41,480 --> 00:24:47,120 Speaker 1: on the horizon now? You know, Yeah, that's a the 421 00:24:47,680 --> 00:24:51,720 Speaker 1: doomsday scenario. It always comes around. And I talked to 422 00:24:52,200 --> 00:24:54,560 Speaker 1: you know, this week, I talked to Paul Bolloy and 423 00:24:55,160 --> 00:25:01,919 Speaker 1: Vanguard Group and he manages twillion dollars plots, which is 424 00:25:01,960 --> 00:25:06,200 Speaker 1: the size and in my market, and uh, he doesn't 425 00:25:06,320 --> 00:25:10,040 Speaker 1: see it. And the reason it is because uh, states 426 00:25:10,240 --> 00:25:14,640 Speaker 1: and localities of providing funding for essential services, so they're 427 00:25:14,640 --> 00:25:20,600 Speaker 1: an absolute must for the economic recovery. And he says 428 00:25:20,760 --> 00:25:23,720 Speaker 1: that he sees that Congress will do something, Congress will 429 00:25:23,720 --> 00:25:29,280 Speaker 1: stop being intransigent and uh, you know, so eventually there 430 00:25:29,280 --> 00:25:32,760 Speaker 1: will be some some rescue money there some release because 431 00:25:32,840 --> 00:25:35,639 Speaker 1: the alternative is uh, you know, to all we will 432 00:25:35,680 --> 00:25:38,400 Speaker 1: think about uh you know, but but really what would 433 00:25:38,400 --> 00:25:41,680 Speaker 1: that mean? You would need some of the faults? Uh 434 00:25:41,760 --> 00:25:45,160 Speaker 1: you know, maybe you know he's a couple of Chapter 435 00:25:45,280 --> 00:25:49,080 Speaker 1: nine bankruptcies at the local level. Um, you know that, 436 00:25:49,200 --> 00:25:53,520 Speaker 1: but but a whole the doomsday scenario is so oversold 437 00:25:53,680 --> 00:25:57,199 Speaker 1: and not accurate when it comes to meetings. So I know, 438 00:25:57,359 --> 00:26:00,959 Speaker 1: before the pandemic hit, the taxable municipal bond market was 439 00:26:01,160 --> 00:26:04,160 Speaker 1: red hot. We had lots of international buyers coming into 440 00:26:04,200 --> 00:26:07,920 Speaker 1: that market, just desperate for yield. How's that market trading 441 00:26:08,000 --> 00:26:10,720 Speaker 1: right now? How's the fund slows the new issuance? How's 442 00:26:10,760 --> 00:26:14,600 Speaker 1: that market looking to you? Oh? Baby, taxable bonds are 443 00:26:14,680 --> 00:26:17,240 Speaker 1: are you know, it's like the it's the flavored d 444 00:26:17,359 --> 00:26:20,919 Speaker 1: jur in the medi market right now. Because municipalities, you know, 445 00:26:21,080 --> 00:26:24,679 Speaker 1: fund that rates are solo, they could sell taxable bonds, 446 00:26:24,720 --> 00:26:27,720 Speaker 1: which as you say, are attractive to uh, out of 447 00:26:27,760 --> 00:26:31,280 Speaker 1: country buyers as well as in country buyers. Um, they 448 00:26:31,280 --> 00:26:36,920 Speaker 1: could sell those taxable and refund advanced refund bonds that 449 00:26:37,000 --> 00:26:39,560 Speaker 1: they sold the tax exempt market a few years ago, 450 00:26:39,840 --> 00:26:42,359 Speaker 1: three four or five years ago. And of course the 451 00:26:43,080 --> 00:26:46,200 Speaker 1: most recent tax Act prohibited the use of the tax 452 00:26:46,240 --> 00:26:51,080 Speaker 1: exempt financing for advance refundings. So, yeah, taxables are going crazy, 453 00:26:51,400 --> 00:26:54,600 Speaker 1: and you know one of they uh you know it's uh, 454 00:26:54,640 --> 00:26:57,040 Speaker 1: you know, it's a portion of the market. Maybe it's 455 00:26:57,040 --> 00:27:00,560 Speaker 1: six hundred and fifty billion out of the point nine 456 00:27:00,600 --> 00:27:03,520 Speaker 1: truly beauty market. But I read a report this week 457 00:27:03,560 --> 00:27:05,920 Speaker 1: that you are an analyst said, you can easily see 458 00:27:05,920 --> 00:27:08,440 Speaker 1: it go off to you know, nine hundred billion portion 459 00:27:08,480 --> 00:27:10,560 Speaker 1: of the market in the next couple of years here, 460 00:27:10,600 --> 00:27:13,800 Speaker 1: So yeah, it's just we'll keep an eye on that. 461 00:27:13,920 --> 00:27:16,760 Speaker 1: Joe Mai Sak. Thank you once again, Joe Mesac, edit 462 00:27:17,200 --> 00:27:19,800 Speaker 1: editor Bloomberg Brief, keeping us up to date on all 463 00:27:19,840 --> 00:27:23,280 Speaker 1: things going on a must the bond market. Thanks for 464 00:27:23,320 --> 00:27:26,840 Speaker 1: listening to Bloomberg Markets podcast. You can subscribe and listen 465 00:27:26,840 --> 00:27:30,360 Speaker 1: to interviews at Apple Podcasts or whatever a podcast platform 466 00:27:30,400 --> 00:27:33,840 Speaker 1: you prefer. I'm Bonnie Quinn, I'm on Twitter at Bonnie Quinn, 467 00:27:34,000 --> 00:27:36,400 Speaker 1: and I'm Paul Sweeney. I'm on Twitter at pt Sweeney. 468 00:27:36,440 --> 00:27:39,080 Speaker 1: Before the podcast, you can always catch us worldwide at 469 00:27:39,119 --> 00:27:39,880 Speaker 1: Bloomberg Radio.