1 00:00:09,840 --> 00:00:12,960 Speaker 1: Welcome to the Bloomberg Surveillance Podcast and I'm Tom Keane 2 00:00:13,480 --> 00:00:17,560 Speaker 1: jay Ley. We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,480 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,640 --> 00:00:27,440 Speaker 1: Bloomberg dot Com, and of course on the Bloomberg. Joyce 5 00:00:27,520 --> 00:00:31,360 Speaker 1: cheg with us now a head of research at JP Morgan. 6 00:00:31,880 --> 00:00:35,200 Speaker 1: Joyce has wonderful mathematical abilities out of Berkeley. We're thrilled 7 00:00:35,280 --> 00:00:37,320 Speaker 1: that she could join us. That's one of Joyce. We 8 00:00:37,360 --> 00:00:39,720 Speaker 1: had the honors talking to John Leoy's recently. It was 9 00:00:39,760 --> 00:00:43,120 Speaker 1: my research paper the summer, not on a forecast, but 10 00:00:43,280 --> 00:00:47,000 Speaker 1: on a model about the US tenure yield with migrate 11 00:00:47,080 --> 00:00:50,120 Speaker 1: lower and lower and dare I say JP Morgan alluded 12 00:00:50,159 --> 00:00:54,520 Speaker 1: to us UH negative interest rates as a possibility. Can 13 00:00:54,760 --> 00:01:02,080 Speaker 1: can the United States culturally, socially, financially handle negative interest rates? 14 00:01:02,080 --> 00:01:06,840 Speaker 1: Are we prepared to be like Germany and Switzerland? I 15 00:01:06,880 --> 00:01:08,880 Speaker 1: think in the US, I mean you could see negative 16 00:01:08,920 --> 00:01:11,400 Speaker 1: yields happen because we're just so close to that edge. 17 00:01:11,400 --> 00:01:14,480 Speaker 1: But as a matter of policy, negative deposit rates, I 18 00:01:14,520 --> 00:01:16,880 Speaker 1: do not see the Feds going there at all. Now 19 00:01:16,920 --> 00:01:19,319 Speaker 1: they're gonna have to stay with DROO rates. You know, 20 00:01:19,360 --> 00:01:22,560 Speaker 1: the forward guidance increasing the purchases is I think the 21 00:01:22,680 --> 00:01:25,480 Speaker 1: routes that are going to go and even yield curve control. 22 00:01:25,520 --> 00:01:27,280 Speaker 1: But I think the seed's going to go through a 23 00:01:27,319 --> 00:01:29,319 Speaker 1: lot more of the tool kit before they think that 24 00:01:29,360 --> 00:01:31,280 Speaker 1: would be the right option to take. And I think 25 00:01:31,280 --> 00:01:34,120 Speaker 1: pl comments would mean not very clear Joyce. There's an 26 00:01:34,120 --> 00:01:38,679 Speaker 1: interesting distinction here between market determined negative rates as we're 27 00:01:38,680 --> 00:01:41,080 Speaker 1: seeing in the United Kingdom and frankly as we have 28 00:01:41,120 --> 00:01:44,280 Speaker 1: seen in the US, perhaps not at sale but certainly 29 00:01:44,400 --> 00:01:49,240 Speaker 1: in post sale trading, and the actual policy rate. How 30 00:01:49,280 --> 00:01:53,040 Speaker 1: long can this continue where the market is pricing in 31 00:01:53,520 --> 00:01:57,320 Speaker 1: negative yields while the policy were at rate remains positive. 32 00:01:58,600 --> 00:02:00,640 Speaker 1: Everybody's going to just have to take a look at 33 00:02:00,720 --> 00:02:04,200 Speaker 1: what kind of recovery lies ahead. Now we're looking at 34 00:02:04,240 --> 00:02:07,160 Speaker 1: a third quarter rebound um that we think could be 35 00:02:07,200 --> 00:02:10,399 Speaker 1: around thirty seven percent annual live After going down so 36 00:02:10,480 --> 00:02:13,320 Speaker 1: hard in the first app now you're starting to see 37 00:02:13,400 --> 00:02:16,720 Speaker 1: the recovery take place. So you're gonna have a discussion 38 00:02:16,760 --> 00:02:19,120 Speaker 1: on just the path of the recovery. You know, we're 39 00:02:19,120 --> 00:02:21,600 Speaker 1: still a long ways from talking about inflation as being 40 00:02:21,600 --> 00:02:25,440 Speaker 1: a problem. There's a whole discussion on you know, deflationary risk. 41 00:02:25,639 --> 00:02:28,040 Speaker 1: You know that's really heating up in Japan in particular, 42 00:02:28,520 --> 00:02:30,880 Speaker 1: and so I think that, you know, this is something 43 00:02:30,919 --> 00:02:33,160 Speaker 1: that is going to take time. You could have negative 44 00:02:33,480 --> 00:02:35,960 Speaker 1: yields and flirting with those negative fields there for quite 45 00:02:35,960 --> 00:02:38,919 Speaker 1: some scient time, and we saw that happened after the 46 00:02:38,919 --> 00:02:42,440 Speaker 1: global financial crisis, and it's enduring now. So I don't 47 00:02:42,440 --> 00:02:44,800 Speaker 1: think that we're going to go away from this topic 48 00:02:44,840 --> 00:02:47,080 Speaker 1: anytime soon. Yeah, this is a question I've raised on 49 00:02:47,080 --> 00:02:49,600 Speaker 1: this program a couple of times. In Europe, we saw 50 00:02:49,600 --> 00:02:52,400 Speaker 1: that in twelve the front end of a lot of 51 00:02:52,400 --> 00:02:55,760 Speaker 1: core European sovereign debt markets was negative, several years before 52 00:02:55,800 --> 00:03:00,160 Speaker 1: negative rights actually became a reality at the policy levels. 53 00:03:00,200 --> 00:03:02,360 Speaker 1: What I think is quite interesting going forward is we 54 00:03:02,400 --> 00:03:04,800 Speaker 1: do face the very real prospect of the UK joining 55 00:03:04,800 --> 00:03:07,440 Speaker 1: the club. We've had two policymakers in the last few 56 00:03:07,480 --> 00:03:10,080 Speaker 1: days alone start to talk up negative interest rates. So 57 00:03:10,160 --> 00:03:12,200 Speaker 1: let's game this out a little bit. You can have 58 00:03:12,200 --> 00:03:14,640 Speaker 1: a negative policy rate the e c B, a negative 59 00:03:14,639 --> 00:03:17,399 Speaker 1: policy rate at the BOJ potentially, and at the Bank 60 00:03:17,440 --> 00:03:20,600 Speaker 1: of England all three, and then look at the Federal Reserve. 61 00:03:20,639 --> 00:03:22,880 Speaker 1: I see no willingness whatsoever to go there. We all 62 00:03:22,880 --> 00:03:25,000 Speaker 1: hope they don't. But let's talk about what they could 63 00:03:25,040 --> 00:03:28,240 Speaker 1: mean for the treasury market. If we have several big 64 00:03:28,240 --> 00:03:32,280 Speaker 1: and important central banks in the world with negative interest rates, 65 00:03:32,440 --> 00:03:37,560 Speaker 1: how that shapes the front end of the treasury market. Yeah, yeah, Look, 66 00:03:37,720 --> 00:03:40,000 Speaker 1: I think what you've seen that the Treasury do is 67 00:03:40,000 --> 00:03:43,040 Speaker 1: they announced for this quarter just record issuance. I mean 68 00:03:43,120 --> 00:03:46,000 Speaker 1: three trillion dollars. We haven't ever seen anything like that. 69 00:03:46,000 --> 00:03:48,120 Speaker 1: That I think is going to be very hard to 70 00:03:48,200 --> 00:03:51,000 Speaker 1: absorb you on the long end of it. But I 71 00:03:51,040 --> 00:03:52,960 Speaker 1: think you're right on the front end. Everybody is looking 72 00:03:53,000 --> 00:03:56,120 Speaker 1: at this global dynamic right now and the fact that 73 00:03:56,120 --> 00:03:59,120 Speaker 1: you have even emerging market central banks from learning the 74 00:03:59,240 --> 00:04:02,160 Speaker 1: qv right now, and still that you yields are coming 75 00:04:02,200 --> 00:04:04,720 Speaker 1: down there, so you know that you're going to move 76 00:04:04,760 --> 00:04:07,880 Speaker 1: into negative yields even if it's not the liberate policy, 77 00:04:08,240 --> 00:04:10,520 Speaker 1: I think it's just a reality that's with us right now. 78 00:04:11,000 --> 00:04:14,000 Speaker 1: Can you flip the reciprocal Joyce chain? Can you take 79 00:04:14,080 --> 00:04:16,160 Speaker 1: all this bond talk. I mean, that's all Pharaoll wants 80 00:04:16,160 --> 00:04:20,159 Speaker 1: to do, folks as bond talk, because look, for the 81 00:04:20,240 --> 00:04:24,520 Speaker 1: real dull this conversation, the real yield under discussion to 82 00:04:24,680 --> 00:04:29,320 Speaker 1: return Joyce chain. Can you flip the reciprocal and get 83 00:04:29,360 --> 00:04:32,920 Speaker 1: yourself to huge valuations for equities? I mean, I don't 84 00:04:32,920 --> 00:04:34,440 Speaker 1: even know what you do with a negative rate and 85 00:04:34,480 --> 00:04:37,400 Speaker 1: a flip reciprocal to get to a multiple of thirty 86 00:04:37,480 --> 00:04:40,320 Speaker 1: forty for a utility. But can you can you just 87 00:04:40,600 --> 00:04:44,480 Speaker 1: keep the linkage with bonds and equities intact? Well, I 88 00:04:44,560 --> 00:04:47,040 Speaker 1: think you're still going to see a winner takes all 89 00:04:47,320 --> 00:04:50,839 Speaker 1: UM strategy play out in equity. So the texaster has 90 00:04:50,880 --> 00:04:53,599 Speaker 1: moved away from the rest of the market that was 91 00:04:53,640 --> 00:04:56,560 Speaker 1: in place even before the pandemics, and now you're seeing 92 00:04:56,600 --> 00:04:59,920 Speaker 1: that even more exaggerated. So you know, on the equity 93 00:05:00,000 --> 00:05:04,200 Speaker 1: market there's going to be a focus on your earning dividends. 94 00:05:04,279 --> 00:05:07,680 Speaker 1: We've seen dividends being suspended in thirty three companies. We've 95 00:05:07,720 --> 00:05:12,080 Speaker 1: seen them being cut in um more companies as well. 96 00:05:12,400 --> 00:05:16,080 Speaker 1: So I think on the equity market, the focus is 97 00:05:16,279 --> 00:05:18,400 Speaker 1: once again going to be winner takes all. A lot 98 00:05:18,400 --> 00:05:20,800 Speaker 1: of the tech sector, you know, at the farm sector 99 00:05:21,120 --> 00:05:24,800 Speaker 1: has sort of moved away from where the rest of 100 00:05:24,800 --> 00:05:28,520 Speaker 1: the market is, and I think the debate will you 101 00:05:28,640 --> 00:05:31,640 Speaker 1: actually look at what's the what's the impact UM that 102 00:05:31,720 --> 00:05:33,640 Speaker 1: this is going to have as far as the duration 103 00:05:34,240 --> 00:05:36,960 Speaker 1: um and as you said with Europe, this went on 104 00:05:37,080 --> 00:05:40,279 Speaker 1: for you know, years, and is something that became Is 105 00:05:40,279 --> 00:05:43,479 Speaker 1: it exceptional? Is this like a fast um You'll fall 106 00:05:43,640 --> 00:05:46,880 Speaker 1: down in the in the GDP numbers and we're gonna 107 00:05:46,880 --> 00:05:49,240 Speaker 1: have a quick backup and we're normalizing to something or 108 00:05:49,240 --> 00:05:51,080 Speaker 1: are we really stuck in something that's much more in 109 00:05:51,160 --> 00:05:53,600 Speaker 1: the ways that could go on for a longer period 110 00:05:53,600 --> 00:05:55,760 Speaker 1: of time. Tom, I'm really glad you brought this up. 111 00:05:55,760 --> 00:05:57,440 Speaker 1: I've actually been giving a lot of thought to this, 112 00:05:57,520 --> 00:05:59,640 Speaker 1: and I was looking at sort of the fed bottle, 113 00:05:59,720 --> 00:06:02,200 Speaker 1: at the dividend yield, the earnings yield on the SMP 114 00:06:02,400 --> 00:06:05,839 Speaker 1: for example, versus treasuries and the problem that I have, 115 00:06:06,279 --> 00:06:08,840 Speaker 1: and Tom, maybe you've done more research on this than I. 116 00:06:09,400 --> 00:06:12,640 Speaker 1: The problem I have is how much is that dividend 117 00:06:12,720 --> 00:06:16,760 Speaker 1: yield forward looking? And how much have stock investors already 118 00:06:16,760 --> 00:06:19,360 Speaker 1: priced in some of the cuts that we're seeing Haliburton, 119 00:06:19,400 --> 00:06:23,760 Speaker 1: for example, today reducing its dividend by scent. You know, 120 00:06:23,839 --> 00:06:26,840 Speaker 1: how much is the bond market pricing in well more 121 00:06:27,320 --> 00:06:30,040 Speaker 1: than the dividend yield currently is. But this is brilliant 122 00:06:30,080 --> 00:06:32,559 Speaker 1: Joyce because what This comes down to your point, Joyce 123 00:06:32,600 --> 00:06:35,600 Speaker 1: Chang and winner takes all. Is the idea that we're 124 00:06:35,600 --> 00:06:38,880 Speaker 1: gonna have these few companies with persistent cash flows that 125 00:06:38,960 --> 00:06:42,080 Speaker 1: can lead to that dividend growth belief that Lisa is 126 00:06:42,120 --> 00:06:45,560 Speaker 1: talking about to get to a higher valuation. Joyce. Michael 127 00:06:45,600 --> 00:06:49,440 Speaker 1: Mabusian years ago at Credit Swiezen, like Mason, was brilliant 128 00:06:49,480 --> 00:06:51,760 Speaker 1: on this is that where we're heading, Joyce? And is 129 00:06:51,760 --> 00:06:54,160 Speaker 1: it just fewer winners? I mean, is that all this 130 00:06:54,240 --> 00:06:56,520 Speaker 1: is coming. It's not gonna be SMP five hundred, John, 131 00:06:56,520 --> 00:07:01,159 Speaker 1: It's gonna be SMP. Well, I think that's what we're seeing, 132 00:07:01,200 --> 00:07:03,960 Speaker 1: is that there's just more consolidation that's going on as 133 00:07:03,960 --> 00:07:06,760 Speaker 1: a result of this crisis. And you know, I think 134 00:07:06,760 --> 00:07:08,400 Speaker 1: a lot of people still look at the equity market 135 00:07:08,440 --> 00:07:11,120 Speaker 1: and say, look, this doesn't really reflect the growth expectations. 136 00:07:11,200 --> 00:07:13,680 Speaker 1: It's in line with the credit spread tightening. So this 137 00:07:13,760 --> 00:07:16,640 Speaker 1: still it goes back to the policy support that we're 138 00:07:16,640 --> 00:07:19,560 Speaker 1: seeing the said facilities, the fact that you've got you know, 139 00:07:19,640 --> 00:07:22,280 Speaker 1: high grade bond issue in this year hitting a record 140 00:07:22,400 --> 00:07:25,160 Speaker 1: one point six trillion, So is it about the growth 141 00:07:25,320 --> 00:07:27,840 Speaker 1: or is it about the credit spread tightening? The said 142 00:07:27,880 --> 00:07:31,480 Speaker 1: facilities um and um. Is this something where we're just 143 00:07:31,480 --> 00:07:34,120 Speaker 1: going to see greater concentration, which happens after a lot 144 00:07:34,160 --> 00:07:38,040 Speaker 1: of crisis. It's the survival of the fittest joyce fun 145 00:07:38,080 --> 00:07:46,680 Speaker 1: sense to catch the joyce of global research right now 146 00:07:46,840 --> 00:07:49,760 Speaker 1: out of physics at Yale in case Western is Matthew 147 00:07:49,760 --> 00:07:54,000 Speaker 1: Harrison and Morgan Stanley, who has an acuity on biotech 148 00:07:54,240 --> 00:07:58,119 Speaker 1: like no one out there. Matthew, what's the biggest hot 149 00:07:58,160 --> 00:08:00,760 Speaker 1: air you see right now? To John's point, and I 150 00:08:00,800 --> 00:08:03,679 Speaker 1: don't mean to pick on moderna, but what's the hot 151 00:08:03,720 --> 00:08:09,440 Speaker 1: arab biotechnology right now that you dismissed the most? Um? 152 00:08:09,480 --> 00:08:13,000 Speaker 1: I mean you're asking specifically related to COVID tom or 153 00:08:13,200 --> 00:08:16,200 Speaker 1: or something just to COVID. I mean COVID what we're 154 00:08:16,200 --> 00:08:18,440 Speaker 1: focused on. Matthew, Let's stay with that. What's the thing 155 00:08:18,520 --> 00:08:22,480 Speaker 1: that well, I don't think there's something that upsets me 156 00:08:22,560 --> 00:08:24,840 Speaker 1: the most. I mean I think I think the thing 157 00:08:24,880 --> 00:08:28,920 Speaker 1: for everybody to remember here is is twofold one. There's 158 00:08:28,960 --> 00:08:31,600 Speaker 1: a lot of early data and everybody is very focused 159 00:08:31,640 --> 00:08:34,080 Speaker 1: on looking for treatments, and I think companies are doing 160 00:08:34,120 --> 00:08:36,520 Speaker 1: the best job they can, but we should be careful 161 00:08:36,559 --> 00:08:40,920 Speaker 1: in understanding that data is early in data is subject 162 00:08:40,920 --> 00:08:43,520 Speaker 1: to change, and just being realistic about that. I think, 163 00:08:43,760 --> 00:08:46,360 Speaker 1: you know, you've got a lot of generalists and people 164 00:08:46,400 --> 00:08:50,319 Speaker 1: who don't typically look at these stocks, and so understanding 165 00:08:50,920 --> 00:08:53,480 Speaker 1: what we know and what we don't know, um, I 166 00:08:53,520 --> 00:08:55,720 Speaker 1: think is important. And I think it's a skill that 167 00:08:55,760 --> 00:08:57,760 Speaker 1: people are maybe getting used to because they didn't always 168 00:08:57,800 --> 00:09:00,440 Speaker 1: have to look at early data sets like this. So, Matt, 169 00:09:00,480 --> 00:09:03,680 Speaker 1: help us build their skill because I think it's absolutely critical. 170 00:09:03,679 --> 00:09:05,760 Speaker 1: It's a blind spot for so many of us. It's 171 00:09:05,800 --> 00:09:09,520 Speaker 1: your world, and I think at the moment, subconsciously people 172 00:09:09,520 --> 00:09:12,880 Speaker 1: are biased because they really want these potential vaccines to work. 173 00:09:12,960 --> 00:09:15,360 Speaker 1: We all want to believe they'll work. I also think 174 00:09:15,360 --> 00:09:19,199 Speaker 1: it's an obvious social stigma attached to journalists and analysts 175 00:09:19,240 --> 00:09:21,400 Speaker 1: and people more broadly. You aren't familiar with these names 176 00:09:21,600 --> 00:09:24,960 Speaker 1: to ask necessary questions to be skeptical. So can you 177 00:09:25,000 --> 00:09:27,440 Speaker 1: help establish some guard rails for us as for when 178 00:09:27,440 --> 00:09:30,440 Speaker 1: this news comes out again, this kind of news, how 179 00:09:30,480 --> 00:09:33,680 Speaker 1: we can look at it a little bit more critically. Yeah, 180 00:09:33,720 --> 00:09:36,200 Speaker 1: I think it's I think that the biggest understanding is 181 00:09:36,200 --> 00:09:37,839 Speaker 1: to know what we know and we know and so 182 00:09:38,320 --> 00:09:40,360 Speaker 1: I would say the core of the debate right now 183 00:09:41,040 --> 00:09:44,520 Speaker 1: is that we don't we still don't know what level 184 00:09:44,520 --> 00:09:48,319 Speaker 1: of antibodies are protective for people with COVID, and so 185 00:09:48,520 --> 00:09:53,920 Speaker 1: comparing results from vaccine studies or other clinical studies against 186 00:09:53,960 --> 00:09:56,840 Speaker 1: surrogate endpoints, right because what's been reported so far as 187 00:09:56,840 --> 00:09:59,560 Speaker 1: a surrogate end point, usually in a large scale study, 188 00:09:59,600 --> 00:10:01,599 Speaker 1: you're going to just test people who didn't get a 189 00:10:01,640 --> 00:10:03,800 Speaker 1: vaccine and people who got a vaccine and find out 190 00:10:04,240 --> 00:10:06,760 Speaker 1: if less people got infected with the disease who got 191 00:10:06,760 --> 00:10:09,440 Speaker 1: the vaccine. That's the that's the truth, the true sort 192 00:10:09,440 --> 00:10:12,520 Speaker 1: of market. But right now we're relying on surrogate endpoints, 193 00:10:13,120 --> 00:10:16,040 Speaker 1: and because we're so early in the stages of of 194 00:10:16,120 --> 00:10:18,720 Speaker 1: the outbreak, all of the work has not been done 195 00:10:18,760 --> 00:10:22,360 Speaker 1: to establish exactly what level of antibodies are protected. People 196 00:10:22,400 --> 00:10:25,200 Speaker 1: have guesses, we have ideas, we know what we should 197 00:10:25,280 --> 00:10:27,920 Speaker 1: focus on in terms of that, but I don't think 198 00:10:27,920 --> 00:10:32,280 Speaker 1: scientifically that debate has been settled, and so therefore, in 199 00:10:32,400 --> 00:10:37,560 Speaker 1: trying to understand um how to interpret results, that scientific 200 00:10:37,559 --> 00:10:40,240 Speaker 1: debate I think spills out into the media. I love 201 00:10:40,320 --> 00:10:43,280 Speaker 1: this line and a Drew Armstrong story of Bloomberg News. 202 00:10:43,320 --> 00:10:46,560 Speaker 1: By the standards of medical studies, such early partial data 203 00:10:46,600 --> 00:10:50,160 Speaker 1: are considered the territory of specialists and day traders. I 204 00:10:50,160 --> 00:10:53,120 Speaker 1: want to talk about the share sale that Moderna completed 205 00:10:53,520 --> 00:10:57,600 Speaker 1: late Monday, one point three billion dollars of stock sold, 206 00:10:57,800 --> 00:11:01,720 Speaker 1: arguably perhaps at the highs at of the recent moment, 207 00:11:01,840 --> 00:11:05,199 Speaker 1: and I'm wondering it, can you give us a pathway 208 00:11:05,240 --> 00:11:10,280 Speaker 1: from a vaccine, Matthew, to profits and how investors can 209 00:11:10,360 --> 00:11:15,079 Speaker 1: really value a first mover kind of advantage here. Sure, 210 00:11:15,120 --> 00:11:17,719 Speaker 1: we we've tried to think about what the market may 211 00:11:17,760 --> 00:11:20,400 Speaker 1: look like, and I described the market in two ways. Right, 212 00:11:20,440 --> 00:11:23,800 Speaker 1: there's in our view, there's going to be the pandemic market, 213 00:11:24,120 --> 00:11:28,360 Speaker 1: which probably lasts through two and then the endemic market. 214 00:11:28,400 --> 00:11:30,680 Speaker 1: And what I mean the difference there is, once you 215 00:11:30,720 --> 00:11:34,120 Speaker 1: get through the pandemic period and you have to vaccinate everybody, 216 00:11:34,520 --> 00:11:37,559 Speaker 1: try to vaccinate everybody, there's likely to be portions of 217 00:11:37,600 --> 00:11:42,040 Speaker 1: the population that haven't been vaccinated. These might mutate. Children 218 00:11:42,040 --> 00:11:43,880 Speaker 1: who are born need to be vaccinated, So that's going 219 00:11:43,920 --> 00:11:46,120 Speaker 1: to be smaller, but that might be a longer tail. 220 00:11:46,320 --> 00:11:49,839 Speaker 1: And so we've tried to price the vaccine, you know, 221 00:11:49,880 --> 00:11:52,760 Speaker 1: at least theoretically around the pricing of flu vaccines, which 222 00:11:52,800 --> 00:11:56,160 Speaker 1: are among the lowest of vaccines available, and so the 223 00:11:56,240 --> 00:12:00,840 Speaker 1: numbers we put the pandemic period is like between ten 224 00:12:00,960 --> 00:12:04,320 Speaker 1: and thirty billion dollars and the endemic period of somewhere 225 00:12:04,360 --> 00:12:07,400 Speaker 1: between two and twenty five. The reason for that wide range, 226 00:12:07,440 --> 00:12:11,040 Speaker 1: especially in the endemic period, is because we don't really 227 00:12:11,080 --> 00:12:14,240 Speaker 1: know how much of the population needs to be revaccinated, 228 00:12:14,280 --> 00:12:18,160 Speaker 1: either on an annual or or some other basis. Matthew, 229 00:12:18,240 --> 00:12:20,960 Speaker 1: what will the big companies do? I mean, there's the 230 00:12:21,040 --> 00:12:26,040 Speaker 1: idea of traditional pharmacology and then your esoteric world of biotech, 231 00:12:26,480 --> 00:12:28,840 Speaker 1: and everybody gets all leathered up and they go to lunch, 232 00:12:28,840 --> 00:12:31,880 Speaker 1: just to society which biotech company to buy? Is that? 233 00:12:31,920 --> 00:12:35,480 Speaker 1: What's the future of feeding frenzy of the bigger companies, 234 00:12:35,520 --> 00:12:40,560 Speaker 1: A bigger pharmacology companies buying up the biotechs. I think 235 00:12:40,600 --> 00:12:42,760 Speaker 1: that's a I think that's a theme right that that 236 00:12:42,840 --> 00:12:47,400 Speaker 1: we've we've observed for a while. UM. Biotech companies tend 237 00:12:47,400 --> 00:12:50,199 Speaker 1: to be more entrepreneurial, tend to take more risk, tend 238 00:12:50,240 --> 00:12:55,000 Speaker 1: to use new technologies and once they're proven and you know, 239 00:12:55,320 --> 00:12:58,400 Speaker 1: they might be a new a new way to move 240 00:12:58,480 --> 00:13:01,520 Speaker 1: quicker or move faster. Large companies tend to look at them, 241 00:13:01,520 --> 00:13:05,440 Speaker 1: and I think that the biggest differences. Sometimes smaller companies 242 00:13:05,480 --> 00:13:08,199 Speaker 1: have resources to focus on one small area where their 243 00:13:08,280 --> 00:13:10,679 Speaker 1: technology could work. But once you prove that, a big 244 00:13:10,679 --> 00:13:12,360 Speaker 1: company can say, well I can apply that for ten 245 00:13:12,440 --> 00:13:16,280 Speaker 1: or twenty ways, and they have the massive amount of 246 00:13:16,360 --> 00:13:19,839 Speaker 1: ability to push that forward. Matthew Harrison, thank you so much. 247 00:13:19,840 --> 00:13:23,480 Speaker 1: With Morgan Stanley today, I'm Ada and all of biotech. 248 00:13:27,400 --> 00:13:30,680 Speaker 1: Megan Dreen has had a wonderful set of academics and 249 00:13:30,720 --> 00:13:33,760 Speaker 1: then work in market economics, and now she has her 250 00:13:33,840 --> 00:13:36,760 Speaker 1: parchment out at the Harvard Kennedy School where she is 251 00:13:36,800 --> 00:13:40,520 Speaker 1: a senior fellow. Megan, are we still in the United 252 00:13:40,600 --> 00:13:46,120 Speaker 1: States where all this policy is stimulus? Are we finally 253 00:13:46,320 --> 00:13:48,480 Speaker 1: getting to the point where we're going to admit it's 254 00:13:48,520 --> 00:13:54,080 Speaker 1: about three million javas claims in its income substitution, wage substitution, 255 00:13:54,480 --> 00:13:59,439 Speaker 1: and and indeed demand assistance. So I think we are 256 00:13:59,440 --> 00:14:02,800 Speaker 1: getting to the ladder actually um and you can see 257 00:14:02,800 --> 00:14:06,240 Speaker 1: it in terms of you know who Joe Biden has 258 00:14:06,280 --> 00:14:09,480 Speaker 1: been bringing on to advise him, for example, So there 259 00:14:09,480 --> 00:14:12,680 Speaker 1: are signs that there might be a shift further towards 260 00:14:12,679 --> 00:14:15,640 Speaker 1: the last bringing people on like Stephanie Keelton, right, who's 261 00:14:15,720 --> 00:14:19,400 Speaker 1: a big MMT proponent. There. It's just the beginning of 262 00:14:19,440 --> 00:14:22,920 Speaker 1: a kernel of a hint that actually the Democratic Party 263 00:14:22,960 --> 00:14:25,240 Speaker 1: is starting to think maybe kind of a right to 264 00:14:25,440 --> 00:14:29,040 Speaker 1: point isn't gonna do it. We're gonna need to rethink 265 00:14:29,080 --> 00:14:32,320 Speaker 1: how we approached the economy because a lot of people, 266 00:14:32,400 --> 00:14:35,119 Speaker 1: you know, we're outraged that you know, half of Americans 267 00:14:35,120 --> 00:14:38,000 Speaker 1: made more now on this unemployment insurance and they did 268 00:14:38,040 --> 00:14:39,800 Speaker 1: in their regular jobs and thought that meant there was 269 00:14:39,840 --> 00:14:42,760 Speaker 1: a problem with the unemployment insurance. But that's not the problem. 270 00:14:42,880 --> 00:14:45,040 Speaker 1: The problem is that we've been paying people so little 271 00:14:45,080 --> 00:14:47,200 Speaker 1: to begin with, and now lots of them don't even 272 00:14:47,240 --> 00:14:52,080 Speaker 1: have jobs, so that we're looking at demand boosting, Megan brilliant. 273 00:14:52,120 --> 00:14:54,920 Speaker 1: But if if, if Mr Biden swings to a policy 274 00:14:54,960 --> 00:14:58,760 Speaker 1: prescription much like Europe, is the rest of America gonna 275 00:14:58,800 --> 00:15:01,359 Speaker 1: go with him? Or is he gonna hey the presidency 276 00:15:01,400 --> 00:15:05,400 Speaker 1: to a conservative America that flat out doesn't agree with 277 00:15:05,480 --> 00:15:09,920 Speaker 1: that prescription. Well that's a great question, and I think 278 00:15:09,960 --> 00:15:12,880 Speaker 1: anyone would be crazy to try to handicap the election 279 00:15:13,360 --> 00:15:15,840 Speaker 1: at this point. But sure, at Harvard, so you can 280 00:15:15,880 --> 00:15:19,680 Speaker 1: do that. I am at Harvard, But I think it's 281 00:15:19,680 --> 00:15:22,960 Speaker 1: honestly too too difficult to tell. Um. I do think 282 00:15:22,960 --> 00:15:25,880 Speaker 1: that people are realizing with this crisis that they weren't 283 00:15:25,880 --> 00:15:29,640 Speaker 1: before that you know, a lot about our economy is broken, right, 284 00:15:29,640 --> 00:15:33,800 Speaker 1: our healthcare is broken, our education is broken, We protect 285 00:15:33,840 --> 00:15:36,680 Speaker 1: the most vulnerable is broken. And so I do think, 286 00:15:36,720 --> 00:15:38,920 Speaker 1: you know, whether it's from the left side or maybe 287 00:15:38,960 --> 00:15:41,320 Speaker 1: even the right side, we're all going to have a 288 00:15:41,360 --> 00:15:44,040 Speaker 1: bigger role for the government in our lives. And that's 289 00:15:44,120 --> 00:15:46,480 Speaker 1: generally a pernicious thing. We don't like that. I mean, 290 00:15:46,640 --> 00:15:50,360 Speaker 1: higher taxes and maybe surveillance, contact tracing, all kinds of 291 00:15:50,440 --> 00:15:54,120 Speaker 1: negative things, but there could be a positive implications and 292 00:15:54,160 --> 00:15:56,840 Speaker 1: that maybe we start to rethink our economy and figure 293 00:15:56,880 --> 00:15:59,720 Speaker 1: out how to protect those most vulnerable, and perhaps we 294 00:15:59,720 --> 00:16:01,840 Speaker 1: should be doing that. But there is this terrible habit 295 00:16:02,040 --> 00:16:03,680 Speaker 1: and not saying you're doing it, Megan, because I know 296 00:16:03,720 --> 00:16:05,440 Speaker 1: you're not. There's just a terrible habit at the moment 297 00:16:05,480 --> 00:16:09,400 Speaker 1: of looking down your nose at people who are taking entitlement, 298 00:16:09,480 --> 00:16:12,600 Speaker 1: spending if it's benefits, whatever it is, welfare, if its 299 00:16:12,600 --> 00:16:16,400 Speaker 1: employment benefits, and believing that somehow people would rather be 300 00:16:16,480 --> 00:16:19,800 Speaker 1: on that than have a job. I don't know anyone 301 00:16:20,000 --> 00:16:23,040 Speaker 1: that would prefer to have a handout over having a 302 00:16:23,160 --> 00:16:27,000 Speaker 1: job and having that empowering moment of going to work. 303 00:16:27,000 --> 00:16:29,320 Speaker 1: And for me, Megan, the story going into November is 304 00:16:29,560 --> 00:16:31,800 Speaker 1: who's got the message to say that we're going to 305 00:16:31,880 --> 00:16:34,840 Speaker 1: create the most jobs, They're going to be well paid jobs, 306 00:16:34,880 --> 00:16:37,920 Speaker 1: and this is how we're going to do it. Yeah, 307 00:16:37,960 --> 00:16:40,960 Speaker 1: and this time really is different in that you can 308 00:16:40,960 --> 00:16:44,320 Speaker 1: easily look and say, actually, all these people out of work, 309 00:16:44,360 --> 00:16:47,280 Speaker 1: it is not their fault, right, the virus is nobody's fault. 310 00:16:47,320 --> 00:16:49,840 Speaker 1: And so that doesn't mean there is opportunity for kind 311 00:16:49,880 --> 00:16:52,920 Speaker 1: of social mobilization here in a way that there hasn't 312 00:16:52,960 --> 00:16:55,000 Speaker 1: been in the past. Um So I do. I do 313 00:16:55,080 --> 00:16:57,320 Speaker 1: think there could be hoped for some kind of change 314 00:16:57,400 --> 00:16:59,440 Speaker 1: on that front. And if you look at history, right, 315 00:16:59,520 --> 00:17:01,760 Speaker 1: to be any guests and Council's Last of the UK 316 00:17:01,960 --> 00:17:04,520 Speaker 1: came out of World Wars, Social security came out of 317 00:17:04,560 --> 00:17:07,800 Speaker 1: the Great Depression. So stranger things have happened. I will 318 00:17:07,800 --> 00:17:10,399 Speaker 1: say that, Megan. The conversation in Washington seems to be shifting, 319 00:17:10,440 --> 00:17:14,520 Speaker 1: at least among Republicans to tying the next phase of 320 00:17:14,760 --> 00:17:19,480 Speaker 1: rescue financing to employment with a payroll tax cut. Or 321 00:17:19,520 --> 00:17:24,159 Speaker 1: other types of sort of employment contingent benefits. How do 322 00:17:24,200 --> 00:17:28,160 Speaker 1: you see that factoring into the next phase of recovery, 323 00:17:28,200 --> 00:17:30,720 Speaker 1: if at all, given that the previous rounds were really 324 00:17:30,760 --> 00:17:33,879 Speaker 1: focused on the unemployed, the people who are furloughed or 325 00:17:33,920 --> 00:17:37,600 Speaker 1: lost their jobs as a result of the pandemic. Yeah, 326 00:17:37,640 --> 00:17:39,640 Speaker 1: I think you point out a weakness and the approach 327 00:17:39,680 --> 00:17:43,360 Speaker 1: going forward, and there's also an inherent reticence among Republicans 328 00:17:43,400 --> 00:17:46,440 Speaker 1: it seems to actually spend much more money. We saw 329 00:17:46,440 --> 00:17:48,480 Speaker 1: this in two thousand and eight, two thousand nine as well, 330 00:17:48,520 --> 00:17:50,800 Speaker 1: where you've got a few rounds of funding past and 331 00:17:50,880 --> 00:17:53,320 Speaker 1: everyone figured we would just do the rest and perfect 332 00:17:53,320 --> 00:17:56,600 Speaker 1: this UM in future rounds, and then quickly discovered the 333 00:17:56,600 --> 00:18:00,320 Speaker 1: political capital wasn't really there to pass more ouns. And 334 00:18:00,840 --> 00:18:03,240 Speaker 1: I think we'll have more rounds of this still stimulus here, 335 00:18:03,280 --> 00:18:06,960 Speaker 1: but I think that the conversation is increasingly shifting, UM 336 00:18:07,000 --> 00:18:09,480 Speaker 1: towards the skeptical side on spending more money on this 337 00:18:09,600 --> 00:18:11,920 Speaker 1: in the way it's being directed, as you point out, 338 00:18:11,960 --> 00:18:13,960 Speaker 1: as towards you know, tax tweaks that aren't really going 339 00:18:14,000 --> 00:18:18,000 Speaker 1: to help people who don't have jobs or pensioners for example. Um, 340 00:18:18,200 --> 00:18:20,840 Speaker 1: that's worrisome. I think no one should be actually worried 341 00:18:20,840 --> 00:18:22,720 Speaker 1: about how to pay for this war right now. That's 342 00:18:22,720 --> 00:18:25,399 Speaker 1: a totally inappropriate question to be asking at this point. 343 00:18:25,720 --> 00:18:29,720 Speaker 1: Defin financing is the answer for the US. Megan Green, 344 00:18:29,840 --> 00:18:34,120 Speaker 1: what's the Green Genie coefficient look like for America? I mean, 345 00:18:34,200 --> 00:18:37,360 Speaker 1: it's a it's a complex math and it's a complex geometry, 346 00:18:37,680 --> 00:18:40,840 Speaker 1: but it's real simple. Inequalities are gonna widen. James Diamond 347 00:18:40,880 --> 00:18:43,399 Speaker 1: is talking about it and others. Is it just simple 348 00:18:43,480 --> 00:18:48,240 Speaker 1: you would believe out of this pandemic inequality widens yep. 349 00:18:48,359 --> 00:18:51,280 Speaker 1: I think unfortunately, inequality gets worse. Um, the people who 350 00:18:51,320 --> 00:18:54,120 Speaker 1: lost their jobs were the hourly service workers who's never 351 00:18:54,160 --> 00:18:56,680 Speaker 1: got wage games in the past recoveries, so they hadn't 352 00:18:56,680 --> 00:18:59,120 Speaker 1: even gotten back on their feet since the last crisis 353 00:18:59,160 --> 00:19:02,720 Speaker 1: and now they've been n sut down again. Market concentration 354 00:19:02,920 --> 00:19:07,000 Speaker 1: should increase significantly, which undermines workers ability to negotiate their 355 00:19:07,000 --> 00:19:10,520 Speaker 1: wages with big companies with access to capital markets take 356 00:19:10,640 --> 00:19:13,160 Speaker 1: over for the small independent shops that are getting wiped 357 00:19:13,200 --> 00:19:16,960 Speaker 1: out by this. Unfortunately, I think there will be greater inequality, 358 00:19:17,160 --> 00:19:19,480 Speaker 1: will have higher taxes off the back of this, So 359 00:19:19,640 --> 00:19:22,399 Speaker 1: maybe there will be some distribution to off set a 360 00:19:22,440 --> 00:19:25,200 Speaker 1: bit of that, But generally I think the US has 361 00:19:25,200 --> 00:19:27,680 Speaker 1: had a problem with income inequality going into this. The 362 00:19:27,800 --> 00:19:31,920 Speaker 1: Genie coefficient is just under point five percent in the US, 363 00:19:31,960 --> 00:19:36,160 Speaker 1: which is pretty high and rising, and it's just gonna 364 00:19:36,200 --> 00:19:38,919 Speaker 1: go higher. Is the FED exacerbating that? I mean, the 365 00:19:38,920 --> 00:19:42,320 Speaker 1: focus really very much on the Federal Reserve and its actions, 366 00:19:42,440 --> 00:19:46,240 Speaker 1: especially given the disagreements in Congress. But a lot of 367 00:19:46,240 --> 00:19:49,560 Speaker 1: the FED stimulus has really gone toward corporations, and I'm 368 00:19:49,560 --> 00:19:52,640 Speaker 1: wondering how much that's factoring in here to the wealth gap. 369 00:19:54,320 --> 00:19:59,160 Speaker 1: So yeah, every action by the FED has distributed effects, UM, 370 00:19:59,240 --> 00:20:02,639 Speaker 1: and it ad exacerbating that. Although the FED is also 371 00:20:03,040 --> 00:20:06,480 Speaker 1: providing funding the small businesses UM and so that feeds 372 00:20:06,480 --> 00:20:10,520 Speaker 1: through into those who are more vulnerable. UM. That being said, 373 00:20:10,640 --> 00:20:13,320 Speaker 1: you know, the set half stepped in, So I actually 374 00:20:13,359 --> 00:20:16,440 Speaker 1: think we can't blame the FET on this one. UM. 375 00:20:16,480 --> 00:20:18,520 Speaker 1: Maybe further down the line we'll figure I need to 376 00:20:18,520 --> 00:20:21,200 Speaker 1: figure out how to tweak this. But the FED right 377 00:20:21,240 --> 00:20:24,840 Speaker 1: now had to step into get rid of market dislocations, 378 00:20:24,880 --> 00:20:27,800 Speaker 1: without which we would have had UM an even bigger 379 00:20:27,840 --> 00:20:30,919 Speaker 1: crisis that would have hit the most vulnerable. Evening you 380 00:20:30,960 --> 00:20:32,399 Speaker 1: know better than that. We will find a way of 381 00:20:32,440 --> 00:20:37,280 Speaker 1: blaming the Federal Reserve. And they've been at Harvard for 382 00:20:37,280 --> 00:20:39,879 Speaker 1: a little while. But that's not how this works. You 383 00:20:39,880 --> 00:20:43,680 Speaker 1: know that we find ways to blame the feed. That's 384 00:20:43,680 --> 00:20:46,479 Speaker 1: what we do on shows like this. She had her 385 00:20:46,560 --> 00:20:48,919 Speaker 1: choice of like six schools, and she just took the 386 00:20:48,920 --> 00:20:52,320 Speaker 1: one closest to Fenway Park. I know exactly the reasoning 387 00:20:52,720 --> 00:20:54,520 Speaker 1: of it, but I just you know, you know, being 388 00:20:54,560 --> 00:20:57,000 Speaker 1: around academia just a month too long. That's what we 389 00:20:57,080 --> 00:20:59,600 Speaker 1: do here. We blame the feed for stuff. Megan, We 390 00:20:59,720 --> 00:21:02,960 Speaker 1: love thank you for joining us. Megan Green. Of Harvard 391 00:21:07,600 --> 00:21:10,160 Speaker 1: away from the Bloomberg School of Public Health is their 392 00:21:10,359 --> 00:21:15,280 Speaker 1: huge medical establishment. Lawrence is expert at j h U 393 00:21:15,480 --> 00:21:19,480 Speaker 1: in emergency medicine, and I asked her not about the death, 394 00:21:20,080 --> 00:21:24,840 Speaker 1: but about the case dynamics right now here is Lawrence soer. 395 00:21:25,440 --> 00:21:29,399 Speaker 1: We're seeing a lot of cases of um middle aged 396 00:21:29,440 --> 00:21:33,679 Speaker 1: Americans who have these co morbidities, but we're also seeing 397 00:21:33,720 --> 00:21:36,879 Speaker 1: younger people as well. UM. So, I think the early 398 00:21:36,960 --> 00:21:39,720 Speaker 1: data that that we saw that this is all affecting 399 00:21:39,760 --> 00:21:43,119 Speaker 1: the elderly with the co morbid populations is not necessarily true. 400 00:21:43,119 --> 00:21:46,040 Speaker 1: We have a wide age range UM in our population, 401 00:21:46,119 --> 00:21:50,080 Speaker 1: we have a lot of essential workers who have been 402 00:21:50,119 --> 00:21:52,480 Speaker 1: working this whole time. We have a very large Hispanic 403 00:21:52,520 --> 00:21:55,320 Speaker 1: population that we're serving at Hopkins right now, and I 404 00:21:55,320 --> 00:21:58,240 Speaker 1: think that's true in many cities across the country. It's 405 00:21:58,280 --> 00:22:01,520 Speaker 1: fascinating in the cd IDA know that in certain geographies 406 00:22:01,600 --> 00:22:04,480 Speaker 1: we're going back and yet the younger people going back 407 00:22:04,520 --> 00:22:08,320 Speaker 1: and all that. When you see younger people trying to 408 00:22:08,359 --> 00:22:11,960 Speaker 1: get back to what we knew, do you feel like 409 00:22:12,000 --> 00:22:14,400 Speaker 1: they're at a greater risk because they think the only 410 00:22:14,480 --> 00:22:17,640 Speaker 1: one that gets the virus is seventy five and over. 411 00:22:18,280 --> 00:22:20,639 Speaker 1: I think that early messaging about it only being the 412 00:22:20,640 --> 00:22:24,399 Speaker 1: elderly didn't help. I think we saw young people resistant 413 00:22:24,400 --> 00:22:27,119 Speaker 1: to social distancing, resistant to some of the other public 414 00:22:27,160 --> 00:22:31,320 Speaker 1: health approaches that we use UM. And you know, they 415 00:22:31,320 --> 00:22:33,760 Speaker 1: were exactly like you're saying, we're still going out. They 416 00:22:33,760 --> 00:22:37,840 Speaker 1: were still interacting socially and and I think we're seeing 417 00:22:37,880 --> 00:22:41,639 Speaker 1: the effects of that, that resistance to adopting these measures. 418 00:22:41,840 --> 00:22:44,440 Speaker 1: I think that's what we're seeing right now. I also 419 00:22:44,480 --> 00:22:48,240 Speaker 1: think that these people are UM. They are part of 420 00:22:48,240 --> 00:22:52,119 Speaker 1: the essential workforce, so we're seeing healthcare workers were across 421 00:22:52,119 --> 00:22:54,640 Speaker 1: the country we're seeing people from these meat packing plants, 422 00:22:54,680 --> 00:22:58,800 Speaker 1: from farms, from food processing centers UM and, and they 423 00:22:58,800 --> 00:23:02,440 Speaker 1: are younger UM folks as well. Laurens talk to me 424 00:23:02,440 --> 00:23:05,359 Speaker 1: a little bit about this modernal vaccine that then we 425 00:23:05,400 --> 00:23:08,480 Speaker 1: had reports yesterday that it just didn't give us enough 426 00:23:08,520 --> 00:23:10,880 Speaker 1: information to knew whether it was going in the right direction. 427 00:23:11,640 --> 00:23:14,600 Speaker 1: Are we going to have news flows like that more regularly. 428 00:23:15,240 --> 00:23:18,600 Speaker 1: It's not uncommon for these companies to put out press releases, 429 00:23:18,640 --> 00:23:22,200 Speaker 1: but usually they have data attached to them. UM. This 430 00:23:22,280 --> 00:23:27,159 Speaker 1: report showed that the UM, the people in the study, 431 00:23:27,280 --> 00:23:30,879 Speaker 1: eight people that they had UM conducted the full review 432 00:23:30,960 --> 00:23:35,200 Speaker 1: of had neutralizing antibodies, which is good. So UM they 433 00:23:35,200 --> 00:23:38,040 Speaker 1: basically saw that people in four of the different arms 434 00:23:38,080 --> 00:23:42,480 Speaker 1: that they built UM developed neutralizing antibodies. The challenge with 435 00:23:42,560 --> 00:23:45,640 Speaker 1: it only being eight people is partially because it takes 436 00:23:45,680 --> 00:23:49,120 Speaker 1: a long time to do the neutralizing antibody research. UM 437 00:23:49,160 --> 00:23:50,960 Speaker 1: and we didn't hear from the other I think it 438 00:23:51,000 --> 00:23:55,040 Speaker 1: was thirty thirty five or thirty six trial participants as 439 00:23:55,080 --> 00:23:59,560 Speaker 1: to how they did or why they didn't develop neutralizing antibodies, 440 00:23:59,640 --> 00:24:02,440 Speaker 1: or even if they didn't develop them. UM we need 441 00:24:02,480 --> 00:24:06,159 Speaker 1: more time to understand those data and so there's no 442 00:24:06,560 --> 00:24:10,560 Speaker 1: there's no way to know what these data mean. UM. 443 00:24:10,640 --> 00:24:12,800 Speaker 1: And so I think that's what we're all waiting for. 444 00:24:12,880 --> 00:24:15,560 Speaker 1: We're waiting for that resulting data set to do that 445 00:24:15,640 --> 00:24:18,359 Speaker 1: analysis to know if the response is going to be durable, 446 00:24:18,720 --> 00:24:21,280 Speaker 1: to know, um, you know what the rest of that 447 00:24:21,400 --> 00:24:24,080 Speaker 1: vaccine population looks like. So I think we still have 448 00:24:24,160 --> 00:24:28,320 Speaker 1: a ways to go. UM. It was a surprisingly upbeat 449 00:24:29,080 --> 00:24:33,520 Speaker 1: uh result, but I think it is definitely a positive finding. 450 00:24:33,560 --> 00:24:35,119 Speaker 1: We just we just have to wait and see what 451 00:24:35,160 --> 00:24:37,480 Speaker 1: happens next. What do you make of what we've heard 452 00:24:37,480 --> 00:24:39,800 Speaker 1: from the World Health Organization overall? So we had the 453 00:24:39,800 --> 00:24:44,439 Speaker 1: Health Assembly, who's in charge of briefing governments in this 454 00:24:44,680 --> 00:24:47,480 Speaker 1: Do you rely on the World Health Organization or is 455 00:24:47,480 --> 00:24:49,800 Speaker 1: it each country for their own Yeah? I think the 456 00:24:49,840 --> 00:24:54,640 Speaker 1: World Health Organization is still our number one leading international body, UM, 457 00:24:54,800 --> 00:24:58,120 Speaker 1: serving all of these member states and UM, they are 458 00:24:58,200 --> 00:25:02,160 Speaker 1: putting in place the structure which this entire international response 459 00:25:02,280 --> 00:25:05,439 Speaker 1: is happening. UM. We did here. You know, it's a 460 00:25:05,480 --> 00:25:08,639 Speaker 1: digital World Health Assembly. It's just a couple of days, 461 00:25:08,680 --> 00:25:10,680 Speaker 1: so I think it's not going to be the same 462 00:25:10,720 --> 00:25:13,560 Speaker 1: as it normally is. We did hear calls from the 463 00:25:13,560 --> 00:25:16,520 Speaker 1: EU and Australia for an inquiry into the origins of 464 00:25:16,560 --> 00:25:19,760 Speaker 1: the COVID nineteen outbreak, which UM clearly seems to be 465 00:25:19,840 --> 00:25:24,119 Speaker 1: directed at China, even though China wasn't specifically named UM, 466 00:25:24,160 --> 00:25:27,760 Speaker 1: and I think that there is some there remains some 467 00:25:27,800 --> 00:25:33,920 Speaker 1: political politicization around UM China's role in this outbreak response. 468 00:25:34,040 --> 00:25:37,000 Speaker 1: So UM not even the origins, but but how that 469 00:25:37,080 --> 00:25:40,000 Speaker 1: early response occurred. And so I think we'll continue to 470 00:25:40,040 --> 00:25:43,920 Speaker 1: see tensions around the Assembly, but we have to continue 471 00:25:43,920 --> 00:25:46,120 Speaker 1: to support the w h O and their role in 472 00:25:46,119 --> 00:25:50,800 Speaker 1: in global pandemic preparedness and response. Lauren love to talk 473 00:25:50,840 --> 00:25:54,560 Speaker 1: to JOHNS Hopkins University really quite brave an emergency medicine 474 00:25:55,160 --> 00:26:02,280 Speaker 1: down there, that first line that we see at any hospital. Well, 475 00:26:02,320 --> 00:26:05,080 Speaker 1: Sweeten and I wanted to find somebody who could rationalize 476 00:26:05,119 --> 00:26:09,400 Speaker 1: down thousand. That would be Ron Temple of Lazard, head 477 00:26:09,440 --> 00:26:11,960 Speaker 1: of US Equities, and of course one of our most 478 00:26:12,080 --> 00:26:16,640 Speaker 1: astute guests, with his experience on Wall Street about trying 479 00:26:16,760 --> 00:26:21,080 Speaker 1: to push away the noise. Ron, We've never seen the 480 00:26:21,119 --> 00:26:24,639 Speaker 1: noise like this. We've got plus unemployment rate on and on. 481 00:26:24,800 --> 00:26:27,800 Speaker 1: You know, the drill is, well, how do I keep 482 00:26:27,880 --> 00:26:32,600 Speaker 1: my mind focused on thousand. I'm trying to make seven 483 00:26:32,680 --> 00:26:36,080 Speaker 1: percent a year and someday out there it will be 484 00:26:36,160 --> 00:26:41,080 Speaker 1: Dow fifty Tho, how do I maintain that discipline? Well, 485 00:26:41,080 --> 00:26:43,640 Speaker 1: that's that's a really tough challenge obviously, So I think 486 00:26:43,720 --> 00:26:46,400 Speaker 1: you know, in the near term, I would caution about 487 00:26:46,400 --> 00:26:48,040 Speaker 1: getting too caught up in the day to day and 488 00:26:48,080 --> 00:26:50,080 Speaker 1: really start thinking what to try to keep yourself thinking 489 00:26:50,080 --> 00:26:53,440 Speaker 1: about the long term investment potential of different companies. Um 490 00:26:53,480 --> 00:26:55,480 Speaker 1: when you're making these investments, I would say point number 491 00:26:55,480 --> 00:26:57,640 Speaker 1: one is it's really important to be active right now. 492 00:26:57,680 --> 00:27:00,480 Speaker 1: I think you're gonna have a lot of disperse within 493 00:27:00,520 --> 00:27:03,119 Speaker 1: this market over the next day, twelve to eighteen months 494 00:27:03,520 --> 00:27:07,520 Speaker 1: as the economic implications unfold. Some companies aren't gonna make it, 495 00:27:07,960 --> 00:27:09,840 Speaker 1: some companies will make it but by the skin of 496 00:27:09,880 --> 00:27:11,920 Speaker 1: their teeth, and some companies actually are going to thrive 497 00:27:11,960 --> 00:27:13,560 Speaker 1: and pick up market share. And so when you're really 498 00:27:13,600 --> 00:27:16,080 Speaker 1: thinking about how you're going to achieve your investment objectives 499 00:27:16,119 --> 00:27:18,640 Speaker 1: over the next day, five to ten years, I think 500 00:27:18,640 --> 00:27:20,720 Speaker 1: it's critical to really focus on the companies with the 501 00:27:20,760 --> 00:27:23,879 Speaker 1: balance sheet strength and the funding and liquidity profiles to 502 00:27:23,960 --> 00:27:26,720 Speaker 1: make it through this downturn, and not only make it through, 503 00:27:27,080 --> 00:27:30,240 Speaker 1: but win some extra competitive advantage market share and grow 504 00:27:30,320 --> 00:27:32,919 Speaker 1: their profit potential. So I think that should be the 505 00:27:32,920 --> 00:27:35,800 Speaker 1: eye on the prize is picking those securities and avoiding 506 00:27:35,960 --> 00:27:37,879 Speaker 1: avoiding the losers, which we obviously all try to do 507 00:27:37,960 --> 00:27:40,080 Speaker 1: on a daily basis. Tom, I think one of the 508 00:27:40,080 --> 00:27:42,760 Speaker 1: reasons you like Ron is because he is a Duke 509 00:27:42,880 --> 00:27:49,639 Speaker 1: graduate and we all know there absolutely so, Tom, as 510 00:27:49,720 --> 00:27:52,640 Speaker 1: you think about kind of where we are right now, 511 00:27:53,080 --> 00:27:57,160 Speaker 1: a really solid rebound off of that pull back when 512 00:27:57,160 --> 00:28:00,240 Speaker 1: the you know, the pandemic really gripped the mark get 513 00:28:00,240 --> 00:28:02,960 Speaker 1: back there in early in mid March, do you feel 514 00:28:02,960 --> 00:28:04,840 Speaker 1: comfortable where the market is here or do you think 515 00:28:04,880 --> 00:28:06,600 Speaker 1: feel like it's gotten a little bit ahead of itself 516 00:28:06,920 --> 00:28:10,400 Speaker 1: given some of that dire economic data that we're experiencing 517 00:28:10,480 --> 00:28:13,399 Speaker 1: and like it experience in the quarters to come. You know, 518 00:28:13,480 --> 00:28:15,560 Speaker 1: it's it's interesting that when we look at the market, 519 00:28:15,720 --> 00:28:18,639 Speaker 1: I mean, the market itself has rebounded a lot, Like 520 00:28:18,680 --> 00:28:21,240 Speaker 1: you say that the market as of yesterday's close was 521 00:28:21,280 --> 00:28:23,000 Speaker 1: down just under ten percent from the peak, but the 522 00:28:23,000 --> 00:28:25,840 Speaker 1: median stock was down se So I think one thing 523 00:28:25,880 --> 00:28:28,680 Speaker 1: to be careful of is the index tells one story, 524 00:28:28,720 --> 00:28:31,120 Speaker 1: but there are a lot of different stories underneath that index. 525 00:28:31,760 --> 00:28:34,600 Speaker 1: That said, I do worry that the market is a 526 00:28:34,600 --> 00:28:37,760 Speaker 1: little ahead of itself in terms of optimism and and 527 00:28:37,840 --> 00:28:42,280 Speaker 1: not necessarily thinking comprehensively enough about the scenarios that might unfold. 528 00:28:42,720 --> 00:28:44,960 Speaker 1: For example, I mean, I'm very you know, it was 529 00:28:45,080 --> 00:28:47,440 Speaker 1: very good to see positive news coming out regarding the 530 00:28:47,440 --> 00:28:50,400 Speaker 1: potential for a vaccine on Monday. UM. I do think 531 00:28:50,400 --> 00:28:52,959 Speaker 1: that's good news. But our analysis still says at the 532 00:28:52,960 --> 00:28:56,360 Speaker 1: earliest you get a vaccine for COVID nineteen that's available 533 00:28:56,400 --> 00:29:00,400 Speaker 1: for widespread use early next year. Now that based is 534 00:29:00,640 --> 00:29:04,200 Speaker 1: one scenario. UM. What that doesn't take into account is 535 00:29:04,200 --> 00:29:07,080 Speaker 1: the risk that you get second or third waves of infections. UM. 536 00:29:07,160 --> 00:29:09,880 Speaker 1: So I've been watching, for example, very closely in Germany 537 00:29:10,080 --> 00:29:14,040 Speaker 1: one month ago today they started reopening small small businesses, 538 00:29:14,040 --> 00:29:17,600 Speaker 1: say shops. I think the limit was up to square feet. UM. 539 00:29:17,720 --> 00:29:20,360 Speaker 1: We're starting to, you know, really carefully watch the infection 540 00:29:20,440 --> 00:29:22,920 Speaker 1: numbers in the new case numbers to see what happens 541 00:29:22,920 --> 00:29:24,640 Speaker 1: when you start to reopen. So I don't think the 542 00:29:24,680 --> 00:29:27,600 Speaker 1: market is necessarily pricing in the risk of a second 543 00:29:27,680 --> 00:29:30,600 Speaker 1: or third wave. UM, the risk that the vaccines might 544 00:29:30,600 --> 00:29:33,280 Speaker 1: not be available as quickly as possible, and how that 545 00:29:33,320 --> 00:29:36,200 Speaker 1: will play out in different parts of the market. Ron, 546 00:29:36,400 --> 00:29:38,800 Speaker 1: there's so many obvious questions Paul and I want to 547 00:29:38,840 --> 00:29:43,000 Speaker 1: talk to you about over the next three hours. But uh, Ron, 548 00:29:43,040 --> 00:29:46,240 Speaker 1: I've I've really got to ask about how you approach 549 00:29:46,440 --> 00:29:50,080 Speaker 1: these wonder stocks that just go up and up and up. 550 00:29:50,120 --> 00:29:54,440 Speaker 1: But obviously it's associated with Jim Kramer's wonderful phrase the frames, 551 00:29:54,480 --> 00:29:57,400 Speaker 1: and I get all that as well, but the tenors 552 00:29:57,400 --> 00:30:01,400 Speaker 1: so stocks out there, what do you do? I mean, 553 00:30:01,480 --> 00:30:03,680 Speaker 1: if you own them, what do you do? And do 554 00:30:03,760 --> 00:30:07,920 Speaker 1: you climb on board if you're not well? I think 555 00:30:08,360 --> 00:30:11,560 Speaker 1: the biggest challenge with some of these Part one. This 556 00:30:11,640 --> 00:30:13,520 Speaker 1: kind of goes back to our first question when when 557 00:30:13,520 --> 00:30:15,800 Speaker 1: I'm thinking about these companies, I'm thinking about what does 558 00:30:15,800 --> 00:30:18,520 Speaker 1: their balance sheet look like? Um, do they have a 559 00:30:18,520 --> 00:30:21,280 Speaker 1: lot of cash on the balance sheet? What strategic optionality 560 00:30:21,360 --> 00:30:23,560 Speaker 1: is that going to give them over the next few years. 561 00:30:24,000 --> 00:30:25,840 Speaker 1: And by the way, you know, I'm assuming we're talking 562 00:30:25,880 --> 00:30:28,520 Speaker 1: primarily tech stocks. If I think back to twelve months ago, 563 00:30:29,000 --> 00:30:30,640 Speaker 1: a lot of the tech industry seemed to be in 564 00:30:30,680 --> 00:30:34,800 Speaker 1: a kind of regulatory political reputation of bull's eye. If anything, 565 00:30:34,800 --> 00:30:37,600 Speaker 1: They've come through this looking better and have proven in 566 00:30:37,640 --> 00:30:39,920 Speaker 1: many cases that they're more mission critical than people would 567 00:30:39,920 --> 00:30:42,920 Speaker 1: have thought of, so their position is improved there in 568 00:30:43,000 --> 00:30:46,160 Speaker 1: some cases not all. They've got great balance sheets where 569 00:30:46,200 --> 00:30:49,400 Speaker 1: they can actually pull off buying in even more capabilities, 570 00:30:50,000 --> 00:30:52,640 Speaker 1: or basically developing their own where some of their competitors 571 00:30:52,680 --> 00:30:55,600 Speaker 1: who have weak balance sheets are no longer as competitive. Um, 572 00:30:55,680 --> 00:30:58,400 Speaker 1: and then I'm thinking about again, what's their balance sheet potential? 573 00:30:58,640 --> 00:31:00,360 Speaker 1: And I think the key with any of these docks 574 00:31:00,440 --> 00:31:04,160 Speaker 1: is is a real balancing act here of thinking far 575 00:31:04,320 --> 00:31:07,600 Speaker 1: enough into the future that you don't miss the potential, 576 00:31:08,320 --> 00:31:10,440 Speaker 1: but not getting so irrational that you say, well, if 577 00:31:10,440 --> 00:31:12,600 Speaker 1: you think out twenty years, they're going to really be great. Well, 578 00:31:12,600 --> 00:31:15,080 Speaker 1: You're twenty years is pretty far beyond anyone's crystal ball. 579 00:31:15,520 --> 00:31:17,920 Speaker 1: So so trying to kind of balance out how far 580 00:31:18,000 --> 00:31:20,320 Speaker 1: you have to think in the future, recognizing it maybe 581 00:31:20,360 --> 00:31:23,040 Speaker 1: on a short term basis they get overvalued, but you 582 00:31:23,040 --> 00:31:24,479 Speaker 1: know what, they might grow their earnings in the next 583 00:31:24,520 --> 00:31:26,040 Speaker 1: six or twelve months enough to make you think I 584 00:31:26,080 --> 00:31:27,480 Speaker 1: want to buy it back at the same price, so 585 00:31:27,520 --> 00:31:29,560 Speaker 1: then you shouldn't be selling it. I mean, Paul, this 586 00:31:29,720 --> 00:31:32,440 Speaker 1: is fascinating because I think so many of our listeners, 587 00:31:32,480 --> 00:31:35,400 Speaker 1: including me. Long term is a three year vision on 588 00:31:35,480 --> 00:31:39,960 Speaker 1: Amazon or Netflix or whatever. Amazon another all time high today, 589 00:31:40,360 --> 00:31:43,080 Speaker 1: so roun You know. One of the things that people 590 00:31:43,120 --> 00:31:45,800 Speaker 1: have been talking about I find fascinating is will this 591 00:31:45,920 --> 00:31:51,080 Speaker 1: pandemic fundamentally alter consumer behavior in any ways? And if so, 592 00:31:51,720 --> 00:31:54,520 Speaker 1: how do you plan for it as from an investment standpoint? 593 00:31:54,600 --> 00:31:56,800 Speaker 1: Or you know, is it just working from home more? 594 00:31:56,840 --> 00:31:59,320 Speaker 1: Are people are going to spend less, save more? Are 595 00:31:59,360 --> 00:32:03,400 Speaker 1: you starting to think about some of these bigger macro issues. Yeah, 596 00:32:03,600 --> 00:32:05,840 Speaker 1: we're definitely thinking about that. I do think, by the way, 597 00:32:05,880 --> 00:32:08,640 Speaker 1: there's a propensity to assume during a downturn or a 598 00:32:08,640 --> 00:32:12,520 Speaker 1: crisis that everything's going to change forever. Well, the reality is, 599 00:32:12,560 --> 00:32:14,560 Speaker 1: I think as soon as restaurants and bars are open, 600 00:32:14,600 --> 00:32:16,040 Speaker 1: a lot of people are going to be pretty eager 601 00:32:16,040 --> 00:32:18,760 Speaker 1: to go back, assuming they know they're safe. Right. So, 602 00:32:18,760 --> 00:32:20,840 Speaker 1: so to me, the kind of the milestone I'm really 603 00:32:20,840 --> 00:32:25,000 Speaker 1: watching for is a vaccine that we can use broadly globally. Now, 604 00:32:25,240 --> 00:32:27,120 Speaker 1: Once that vaccines available, I think a lot of things 605 00:32:27,120 --> 00:32:28,520 Speaker 1: are going to go back to the way they were. 606 00:32:29,080 --> 00:32:31,000 Speaker 1: Some of the things I think won't. I do think 607 00:32:31,000 --> 00:32:33,320 Speaker 1: working from home will become more common that's been discussed 608 00:32:33,360 --> 00:32:35,520 Speaker 1: a lot, but that does have complications for how many 609 00:32:35,560 --> 00:32:38,840 Speaker 1: miles people drive, It has implications for oil consumption, for 610 00:32:39,000 --> 00:32:41,960 Speaker 1: transport us. But when I really step back, I think 611 00:32:41,960 --> 00:32:44,840 Speaker 1: the thing that has not been discussed enough is what's 612 00:32:44,840 --> 00:32:47,680 Speaker 1: going to happen to savings and spending behavior in general, 613 00:32:47,720 --> 00:32:51,040 Speaker 1: because coming out of this countries companies and households are 614 00:32:51,040 --> 00:32:53,120 Speaker 1: gonna have a lot more debt. And by the way, 615 00:32:53,160 --> 00:32:55,760 Speaker 1: really importantly, even a year ago, early this year, I 616 00:32:55,800 --> 00:32:59,480 Speaker 1: was talking before COVID about the upcoming crisis we're gonna 617 00:32:59,480 --> 00:33:02,600 Speaker 1: have on the retronment side, half the baby boomers have retired, 618 00:33:02,600 --> 00:33:05,080 Speaker 1: the other half are within a decade of retirement, and 619 00:33:05,120 --> 00:33:07,560 Speaker 1: in general, making a broad speaking statement, they don't have 620 00:33:07,680 --> 00:33:10,880 Speaker 1: enough savings to retire. Even before that rip up the 621 00:33:10,880 --> 00:33:13,160 Speaker 1: script here, it's like, you know, around you know, Roger 622 00:33:13,200 --> 00:33:16,760 Speaker 1: Ferguson is leading this debate. What is the national solution down? 623 00:33:17,080 --> 00:33:21,040 Speaker 1: Isn't it just for starters to increase the amount people 624 00:33:21,080 --> 00:33:24,280 Speaker 1: can put aside? Well, you know, I think what we 625 00:33:24,400 --> 00:33:26,520 Speaker 1: found in our study of the retirement crisis is not 626 00:33:26,680 --> 00:33:28,520 Speaker 1: that people could put need to put more aside if 627 00:33:28,560 --> 00:33:31,120 Speaker 1: they don't have the income to put anything aside. I mean, 628 00:33:31,160 --> 00:33:33,680 Speaker 1: so when we look at the pretrache of household you know, 629 00:33:33,680 --> 00:33:36,120 Speaker 1: if you think about defined benefit programs are largely gone. 630 00:33:36,160 --> 00:33:38,040 Speaker 1: I think it's around thirty percent of the country still 631 00:33:38,080 --> 00:33:41,360 Speaker 1: has access to a dB program. Of the people other 632 00:33:41,560 --> 00:33:44,000 Speaker 1: other than that, sixty of the people have a defined 633 00:33:44,040 --> 00:33:47,520 Speaker 1: contribution program have nothing. You've got a lot of people 634 00:33:47,520 --> 00:33:49,760 Speaker 1: who don't have a dime put away in a retirement account, 635 00:33:50,080 --> 00:33:51,480 Speaker 1: and part of the reason for that is they just 636 00:33:51,520 --> 00:33:53,360 Speaker 1: don't make enough money to pay their bills today, much 637 00:33:53,400 --> 00:33:55,680 Speaker 1: less put away money for retirement. So I think it's 638 00:33:55,720 --> 00:33:58,200 Speaker 1: going to be multifaceted in terms of solution. One is 639 00:33:58,240 --> 00:34:01,400 Speaker 1: there's gonna have to be more generous social Security benefits, which, 640 00:34:01,440 --> 00:34:02,840 Speaker 1: by the way, is the opposite of what a lot 641 00:34:02,880 --> 00:34:04,760 Speaker 1: of the conversation has been for the last twenty years. 642 00:34:05,040 --> 00:34:07,080 Speaker 1: But maybe it just needs to be more progressive where 643 00:34:07,080 --> 00:34:09,360 Speaker 1: you're really focusing those resources on people who need it 644 00:34:09,440 --> 00:34:12,440 Speaker 1: the most. Um, too, is allowing people to put money away. 645 00:34:12,520 --> 00:34:15,680 Speaker 1: Three is making it more accessible. We found is around 646 00:34:16,400 --> 00:34:18,760 Speaker 1: the people who work for small businesses have no access 647 00:34:18,800 --> 00:34:21,640 Speaker 1: to a defined contribution program at all. The employer doesn't 648 00:34:21,680 --> 00:34:23,759 Speaker 1: offer it. So let's find a way to offer it, 649 00:34:23,880 --> 00:34:26,160 Speaker 1: not through the employers, so you always have access to 650 00:34:26,200 --> 00:34:28,360 Speaker 1: a four oh one K. And so I think there 651 00:34:28,400 --> 00:34:30,320 Speaker 1: are a number of things we can do around getting 652 00:34:30,360 --> 00:34:34,400 Speaker 1: access to programs, reinforcing the stability of social security and frankly, 653 00:34:34,440 --> 00:34:38,600 Speaker 1: reinforcing this financial solvency of defined benefit programs that are 654 00:34:38,600 --> 00:34:40,640 Speaker 1: still out there because they're really critical to a big 655 00:34:40,680 --> 00:34:43,239 Speaker 1: part of the population. Run Temple, We're gonna get you 656 00:34:43,280 --> 00:34:45,160 Speaker 1: back on to do this again. I'd love to do 657 00:34:45,200 --> 00:34:49,320 Speaker 1: a joint interview with you and uh. Uh Roger Ferguson 658 00:34:49,360 --> 00:34:51,600 Speaker 1: a t I A craft on this with his leadership 659 00:34:51,640 --> 00:34:54,359 Speaker 1: on this issue, folks, huge deal and was shout out 660 00:34:54,360 --> 00:34:57,400 Speaker 1: in Boston to Boston College, which I think is just 661 00:34:57,880 --> 00:35:01,879 Speaker 1: the best retirement center. Uh. Going round Temple from Duke 662 00:35:02,000 --> 00:35:05,000 Speaker 1: University is with Lazari. Thank you so much, Run for 663 00:35:05,120 --> 00:35:08,680 Speaker 1: joining us today. Thanks for listening to the Bloomberg Surveillance podcast. 664 00:35:09,040 --> 00:35:14,000 Speaker 1: Subscribe and listen to interviews on Apple Podcasts, SoundCloud, or 665 00:35:14,120 --> 00:35:18,399 Speaker 1: whichever podcast platform you prefer. I'm on Twitter at Tom 666 00:35:18,560 --> 00:35:22,440 Speaker 1: Keane before the podcast. You can always catch us worldwide. 667 00:35:22,880 --> 00:35:23,960 Speaker 1: I'm Bloomberg Radio