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 --> 00:00:13,560 Speaker 1: along with essential market moving news. Kind the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:19,560 Speaker 1: and on Bloomberg dot com. Now, let's turn our attention 7 00:00:19,600 --> 00:00:21,720 Speaker 1: to the economic data that came out this morning, because 8 00:00:21,760 --> 00:00:24,760 Speaker 1: consumer confidence is not quite as robust as we might 9 00:00:24,840 --> 00:00:28,600 Speaker 1: have thought. Consumer confidence for October coming in at one 10 00:00:29,000 --> 00:00:31,560 Speaker 1: point nine, so not a terrible reading, but not as 11 00:00:31,560 --> 00:00:34,760 Speaker 1: good as economis are anticipating. On the September number was 12 00:00:34,800 --> 00:00:38,879 Speaker 1: revised lower. Lynn Franco is Director of Economic Indicators at 13 00:00:38,920 --> 00:00:42,640 Speaker 1: the Conference Board. Lynn, should we start getting concerned or 14 00:00:42,720 --> 00:00:47,000 Speaker 1: is this still healthy reading? It's a healthy reading. What 15 00:00:47,000 --> 00:00:49,000 Speaker 1: we're really seeing is that there's been sort of no 16 00:00:49,120 --> 00:00:53,080 Speaker 1: significant traction in consumer confidence. We had sort of a 17 00:00:53,120 --> 00:00:56,680 Speaker 1: sharp rebound, um, you know, sort of post pandemic, but 18 00:00:56,800 --> 00:01:00,280 Speaker 1: then we've sort of been moving a little bit sideways here. 19 00:01:01,080 --> 00:01:04,040 Speaker 1: So Lynn, I mean, I guess it's not surprising that 20 00:01:04,080 --> 00:01:07,160 Speaker 1: we're moving sideways, as you suggest, given where we are 21 00:01:07,720 --> 00:01:10,680 Speaker 1: with the labor market and even some of the metrics 22 00:01:10,760 --> 00:01:14,720 Speaker 1: for the virus on a global scale. Um, what are 23 00:01:15,400 --> 00:01:17,720 Speaker 1: what are the consumers? What's their outlook? I guess for 24 00:01:17,720 --> 00:01:22,440 Speaker 1: the near term, Well, what we're seeing right now is um. 25 00:01:22,480 --> 00:01:25,240 Speaker 1: You know, it's the labor market that grove both the 26 00:01:25,280 --> 00:01:28,800 Speaker 1: improvement in the present Situation Index and also the decline 27 00:01:28,800 --> 00:01:32,199 Speaker 1: and expectations. So while they're telling us that the job 28 00:01:32,280 --> 00:01:36,000 Speaker 1: market has improved, you know, sort of from the lows 29 00:01:36,120 --> 00:01:39,600 Speaker 1: of post pandemic levels, they really don't expect much of 30 00:01:39,600 --> 00:01:42,959 Speaker 1: that momentum to continue through the end of the year 31 00:01:43,040 --> 00:01:46,440 Speaker 1: and into next year. So it's kind of a glass 32 00:01:46,440 --> 00:01:49,680 Speaker 1: half empty, half full, where you know, conditions have not improved, 33 00:01:49,800 --> 00:01:53,480 Speaker 1: but they necessarily haven't gotten much worse either. Yeah. I 34 00:01:53,520 --> 00:01:56,720 Speaker 1: mean the three months moving average has gone to nine 35 00:01:57,200 --> 00:02:00,080 Speaker 1: point two, all the way from one seven point re 36 00:02:00,280 --> 00:02:04,320 Speaker 1: back in March. What's a useful comparison here, Lynn, So 37 00:02:04,480 --> 00:02:07,040 Speaker 1: obviously March probably isn't the best comparison, even though it 38 00:02:07,080 --> 00:02:12,400 Speaker 1: looks quite quite the difference. I think the key here 39 00:02:12,720 --> 00:02:15,919 Speaker 1: is the trend, right, So we've seen your confidence to 40 00:02:16,040 --> 00:02:18,840 Speaker 1: bounce up, they then bounce down and up and down. 41 00:02:19,200 --> 00:02:21,160 Speaker 1: So would really like to see it gain a little 42 00:02:21,160 --> 00:02:23,720 Speaker 1: bit of traction in and upward direction, and that's going 43 00:02:23,720 --> 00:02:27,240 Speaker 1: to be heavily dependent on what happens in the labor market. 44 00:02:27,400 --> 00:02:30,120 Speaker 1: And while you know, unemployment claims have have come down, 45 00:02:30,160 --> 00:02:33,760 Speaker 1: they still remain high. Unemployment is still high, and we 46 00:02:33,840 --> 00:02:36,640 Speaker 1: expect to you know, softening in the labor market. So 47 00:02:36,720 --> 00:02:39,360 Speaker 1: we could continue around these levels through the end of 48 00:02:39,360 --> 00:02:42,840 Speaker 1: the year. And you know, one of the areas of 49 00:02:42,840 --> 00:02:46,000 Speaker 1: the economy that just it surprises me a little bit 50 00:02:46,040 --> 00:02:48,680 Speaker 1: how strong it is is the housing market. How does 51 00:02:48,680 --> 00:02:52,320 Speaker 1: that play into the consumer um given that it can 52 00:02:52,320 --> 00:02:56,239 Speaker 1: be such a big part of the consumer's net worth. Well, 53 00:02:56,280 --> 00:02:58,120 Speaker 1: I guess it's probably having a little bit of a 54 00:02:58,160 --> 00:03:00,720 Speaker 1: positive impact. We did see a slight uptick in the 55 00:03:00,720 --> 00:03:03,640 Speaker 1: percent of consumers which had the intern intended to purchase 56 00:03:03,760 --> 00:03:06,240 Speaker 1: home over the next six months. That has to do 57 00:03:06,320 --> 00:03:09,640 Speaker 1: a lot with low interest rates. But the key is 58 00:03:09,639 --> 00:03:12,200 Speaker 1: going to be the labor market and what happens there 59 00:03:12,240 --> 00:03:16,680 Speaker 1: is really going to determine the direction that consumer competence procedures. 60 00:03:17,200 --> 00:03:19,120 Speaker 1: Well in the state of you dive into all sorts 61 00:03:19,160 --> 00:03:22,480 Speaker 1: of things like when consumers might be planning to buy 62 00:03:22,520 --> 00:03:25,600 Speaker 1: a refrigerator or a major appliance when there's a vacation 63 00:03:25,639 --> 00:03:28,799 Speaker 1: intended and it's interesting to see that. Yeah, there's a 64 00:03:28,880 --> 00:03:32,440 Speaker 1: reading of forty four point six for people intending to 65 00:03:32,520 --> 00:03:35,920 Speaker 1: vacation within six months, but almost all of those are 66 00:03:35,920 --> 00:03:38,440 Speaker 1: intending to vacation in the United States, and there's only 67 00:03:38,520 --> 00:03:42,000 Speaker 1: a tiny number that's a seven point two number looking 68 00:03:42,040 --> 00:03:46,360 Speaker 1: to vacation in a foreign country. Absolutely, you know, we 69 00:03:46,400 --> 00:03:48,400 Speaker 1: did have a pretty good rebound in terms of the 70 00:03:48,480 --> 00:03:52,000 Speaker 1: vacation intention to this month, but it's well below fifty 71 00:03:52,040 --> 00:03:55,240 Speaker 1: four nine that we saw, you know, back earlier this year. 72 00:03:55,800 --> 00:03:58,960 Speaker 1: And again we've got a lot of travel restrictions. Um, 73 00:03:59,000 --> 00:04:03,400 Speaker 1: you know, there's also pandemic concerns, so we're seeing that 74 00:04:03,520 --> 00:04:07,640 Speaker 1: people are choosing to vacation locally and the means of 75 00:04:07,680 --> 00:04:10,280 Speaker 1: travel preferred is an auto. We did see a little 76 00:04:10,280 --> 00:04:12,440 Speaker 1: bit of an uptick in terms of those willing to 77 00:04:12,600 --> 00:04:16,000 Speaker 1: sort of you know, fly to destinations, but it's really 78 00:04:16,000 --> 00:04:19,479 Speaker 1: sort of more about local vacation. Hey, Lynn, thanks so 79 00:04:19,560 --> 00:04:22,000 Speaker 1: much for joining us. We appreciate this getting an update 80 00:04:22,120 --> 00:04:25,880 Speaker 1: on the consumer. Lynn Franco, Senior Director of Economic Indicators 81 00:04:25,880 --> 00:04:28,720 Speaker 1: and Surveys at the Conference board. Vannie, would you hop 82 00:04:28,800 --> 00:04:31,360 Speaker 1: on a plane to go on vacation. You know, I 83 00:04:31,360 --> 00:04:33,920 Speaker 1: wouldn't bull Yeah, yeah, but then I'm not even doing 84 00:04:33,920 --> 00:04:37,960 Speaker 1: outdoor dining yet, so not really typical down the middle. 85 00:04:38,120 --> 00:04:40,000 Speaker 1: All right, you're taking a conservative we I'm coming into 86 00:04:40,279 --> 00:04:42,880 Speaker 1: Q So I guess there's a few other things too. Yeah, 87 00:04:43,120 --> 00:04:45,720 Speaker 1: you worry about Yeah, you listen to the airlines of 88 00:04:45,760 --> 00:04:48,039 Speaker 1: an you know, they're just not seeing that pick up 89 00:04:48,080 --> 00:04:51,480 Speaker 1: and demand. And I guess it's probably not surprising given 90 00:04:51,520 --> 00:04:54,360 Speaker 1: that we're seeing a surgeon cases. So you know, consumer 91 00:04:54,400 --> 00:04:58,200 Speaker 1: travel leisure continues to be under pressure. Well, Vannie. When 92 00:04:58,240 --> 00:05:01,080 Speaker 1: I started my career, it was at the Chase Manhattan Bank, 93 00:05:01,160 --> 00:05:04,640 Speaker 1: and we made big corporate loans to big media companies, 94 00:05:04,640 --> 00:05:08,680 Speaker 1: and the way we charged interest was libor plus some 95 00:05:09,120 --> 00:05:13,239 Speaker 1: premium rate, uh, depending upon the credit worthiness of the borrower, 96 00:05:13,600 --> 00:05:16,040 Speaker 1: so live or the limit. I think it's the London 97 00:05:16,120 --> 00:05:19,160 Speaker 1: interbank offer rate effect. Can remember back all the way 98 00:05:19,279 --> 00:05:21,840 Speaker 1: back to my Chase days. Um, that's kind of been 99 00:05:21,880 --> 00:05:25,000 Speaker 1: the basis of borrowing rates. But that's about the change. 100 00:05:25,040 --> 00:05:27,320 Speaker 1: Let's get some color on that with Ira Jersey, chief 101 00:05:27,480 --> 00:05:31,200 Speaker 1: US interest rate strategist for Bloomberg Intelligence. Ira tell us 102 00:05:31,200 --> 00:05:36,159 Speaker 1: about libor and what maybe changing UH with that base rate. Yeah, 103 00:05:36,200 --> 00:05:40,600 Speaker 1: so the base rate is UH basically scheduled to go 104 00:05:40,640 --> 00:05:43,719 Speaker 1: away at the end of UM at least that's what 105 00:05:43,839 --> 00:05:47,640 Speaker 1: the Financial Conduct Authority, which is the regulator of almost 106 00:05:47,640 --> 00:05:51,400 Speaker 1: everything financial in in England. UM. You know, LIBOR was 107 00:05:51,480 --> 00:05:55,440 Speaker 1: much aligned during the Great UH financial Crisis back in 108 00:05:55,480 --> 00:05:58,200 Speaker 1: two thousand seven to two thousand nine, and starting in 109 00:05:58,240 --> 00:06:01,000 Speaker 1: two thousand thirteen, there was a real push by regulators 110 00:06:01,040 --> 00:06:05,400 Speaker 1: to find replacement rates for live war globally and UM 111 00:06:05,480 --> 00:06:08,320 Speaker 1: and a lot of countries have have different rates, and 112 00:06:08,360 --> 00:06:11,000 Speaker 1: many of them found different rates that that they're comfortable using. 113 00:06:11,480 --> 00:06:14,200 Speaker 1: In the US, the primary rate that a lot of 114 00:06:14,240 --> 00:06:18,760 Speaker 1: instruments will UH will basically transfer to is called the 115 00:06:18,880 --> 00:06:23,160 Speaker 1: secured Overnight Financing Rate or SOFA, which is basically UH 116 00:06:23,240 --> 00:06:27,440 Speaker 1: calculated based on repurchase agreements which are loan secured by 117 00:06:27,480 --> 00:06:30,920 Speaker 1: treasuries so UM. So that's why you know that there's 118 00:06:31,040 --> 00:06:33,520 Speaker 1: hundreds of trillions of dollars of these loans outstanding. So 119 00:06:33,560 --> 00:06:35,159 Speaker 1: this is quite a big deal, and I think it 120 00:06:35,200 --> 00:06:39,120 Speaker 1: hasn't gotten attention it really deserves by the broader market. Well, 121 00:06:39,160 --> 00:06:42,360 Speaker 1: and let's just fill in the reasoning why this all happened. 122 00:06:42,760 --> 00:06:44,599 Speaker 1: Lie war was one of the sort of the old 123 00:06:44,680 --> 00:06:47,800 Speaker 1: guards of finance. It was hilarious. The way it was 124 00:06:47,839 --> 00:06:50,880 Speaker 1: calculated daily was you just put out a bunch of 125 00:06:50,880 --> 00:06:53,960 Speaker 1: asks to different banks and you've got a whole bunch 126 00:06:54,000 --> 00:06:56,800 Speaker 1: back and the top three in the bottom three were 127 00:06:56,839 --> 00:06:59,080 Speaker 1: mixed together and you've got some kind of the rate 128 00:06:59,080 --> 00:07:03,120 Speaker 1: and d and then you know this. Well, then it 129 00:07:03,120 --> 00:07:05,520 Speaker 1: turned out that people were actually manipulating it a little 130 00:07:05,560 --> 00:07:08,520 Speaker 1: bit give us some background. Yeah, so so the way 131 00:07:08,520 --> 00:07:11,240 Speaker 1: that that librars calculated it's basically a survey of the 132 00:07:11,360 --> 00:07:15,040 Speaker 1: banks within the panel that are all London based banks 133 00:07:15,200 --> 00:07:17,920 Speaker 1: and they then take a trim mean And what happened 134 00:07:17,960 --> 00:07:22,240 Speaker 1: was during the crisis, um there there were um uh 135 00:07:22,680 --> 00:07:25,720 Speaker 1: banks basically that that put in rates that weren't real 136 00:07:25,920 --> 00:07:28,040 Speaker 1: that that it wasn't really where they could fund because 137 00:07:28,040 --> 00:07:31,400 Speaker 1: they're supposed to be basically honest about what what they 138 00:07:32,080 --> 00:07:33,880 Speaker 1: where they can fund in any given day, and that's 139 00:07:33,920 --> 00:07:36,000 Speaker 1: the rate they're supposed to submit and they didn't do that. 140 00:07:36,080 --> 00:07:40,560 Speaker 1: And what what what regulators found and what even courts 141 00:07:40,560 --> 00:07:43,200 Speaker 1: found because there were court cases based on this is 142 00:07:43,440 --> 00:07:46,480 Speaker 1: as well as just regulatory finds that that were passed 143 00:07:46,480 --> 00:07:50,120 Speaker 1: out in the tunes of hundreds of millions of dollars UM. 144 00:07:50,520 --> 00:07:54,000 Speaker 1: They basically that they found that it was open to manipulation. 145 00:07:54,320 --> 00:07:56,720 Speaker 1: So some banks wanted to pull out of these panels 146 00:07:56,720 --> 00:08:00,640 Speaker 1: to limit their litigation risk um for being part of 147 00:08:00,640 --> 00:08:03,520 Speaker 1: the Liveboard panel. And as as part of them not 148 00:08:03,600 --> 00:08:06,240 Speaker 1: pulling out UM, some of the regulators said, well, let's 149 00:08:06,280 --> 00:08:09,160 Speaker 1: think about getting getting away from live board at some 150 00:08:09,200 --> 00:08:11,480 Speaker 1: point in the future, and that date was tagged at 151 00:08:11,480 --> 00:08:15,760 Speaker 1: the end of So so this whole transition process has 152 00:08:16,040 --> 00:08:19,240 Speaker 1: really started in earnest in two thousand and seventeen, but 153 00:08:19,280 --> 00:08:21,800 Speaker 1: it's really had to pick up steam because we're we're 154 00:08:21,840 --> 00:08:25,040 Speaker 1: only you know, we're only fourteen months away from from 155 00:08:25,040 --> 00:08:28,040 Speaker 1: basically library going away, which like I mentioned and like 156 00:08:28,040 --> 00:08:30,440 Speaker 1: like Paul had mentioned before, it's been ubiquitous for the 157 00:08:30,520 --> 00:08:33,760 Speaker 1: last three generations, right, So, um, this is not an 158 00:08:33,760 --> 00:08:35,960 Speaker 1: easy task and something that everyone has to pay more 159 00:08:35,960 --> 00:08:40,160 Speaker 1: attention to. So if I'm holding a bond and it 160 00:08:40,240 --> 00:08:42,840 Speaker 1: pays me live War plus two and a half percent 161 00:08:43,280 --> 00:08:48,640 Speaker 1: come the end of what's going to happen? So so 162 00:08:48,679 --> 00:08:51,360 Speaker 1: that's a good question. So for most instruments, what will 163 00:08:51,400 --> 00:08:54,760 Speaker 1: happen is live Board will become this secured overnight financing 164 00:08:54,800 --> 00:08:57,920 Speaker 1: rate plus a spread and and we estimate, we actually 165 00:08:57,960 --> 00:09:01,400 Speaker 1: put this out, uh, just a small wing, we estimate 166 00:09:01,440 --> 00:09:04,160 Speaker 1: that that spread will be twenty three basis points at 167 00:09:04,160 --> 00:09:06,880 Speaker 1: the end of So basically you're going to be paid 168 00:09:07,160 --> 00:09:10,680 Speaker 1: twenty three basis points plus plus whatever SOFA is on 169 00:09:10,720 --> 00:09:16,040 Speaker 1: an ongoing basis UM. And so this is a problem 170 00:09:16,080 --> 00:09:18,840 Speaker 1: for some banks because with a fixed spread or with 171 00:09:19,080 --> 00:09:22,520 Speaker 1: using this you know, treasury based secured rate instead of 172 00:09:22,880 --> 00:09:26,199 Speaker 1: a credit based rate like library was supposed to be UM, 173 00:09:26,480 --> 00:09:28,600 Speaker 1: it changes a lot of the calculus in the way 174 00:09:28,600 --> 00:09:31,040 Speaker 1: that UM, in a way that banks fund, and in 175 00:09:31,080 --> 00:09:33,360 Speaker 1: a way that they're going to make loans going forward. 176 00:09:33,640 --> 00:09:35,400 Speaker 1: So if you have a loan, it will still be 177 00:09:35,400 --> 00:09:37,360 Speaker 1: a floating rate, but it will be more interest rate 178 00:09:37,400 --> 00:09:40,600 Speaker 1: based as opposed to the credit spread based, which which 179 00:09:40,640 --> 00:09:43,040 Speaker 1: does have implications for the way that you hedge or 180 00:09:43,080 --> 00:09:46,679 Speaker 1: the way that you you think about your loans going forward. Yeah, 181 00:09:46,720 --> 00:09:49,160 Speaker 1: and just full disposure. Bloomberg had actually put in an 182 00:09:49,200 --> 00:09:52,680 Speaker 1: idea for replacing the librar at the time as well. 183 00:09:52,679 --> 00:09:55,240 Speaker 1: There was a sort of a request out there for 184 00:09:55,280 --> 00:09:59,920 Speaker 1: public commentary, and I believe that Bloomberg had one POTENTI 185 00:10:00,120 --> 00:10:04,320 Speaker 1: chill replacement for a library. So so fur then, I mean, 186 00:10:04,400 --> 00:10:06,640 Speaker 1: is it still going to be you know, London banks 187 00:10:06,640 --> 00:10:08,600 Speaker 1: based or I mean if I'm if I'm paying a 188 00:10:08,600 --> 00:10:10,880 Speaker 1: mortgage in Wisconsin and my credit is not particularly high, 189 00:10:10,920 --> 00:10:13,040 Speaker 1: am I still going to be you know, basing my 190 00:10:13,240 --> 00:10:15,439 Speaker 1: repayments on on what some bankers and London thank you 191 00:10:15,720 --> 00:10:18,760 Speaker 1: so so no, so SOFA is based on an actual market. 192 00:10:18,840 --> 00:10:21,880 Speaker 1: So it's based on the the way that that banks 193 00:10:21,920 --> 00:10:26,360 Speaker 1: and and hedge funds and um and broker dealers basically 194 00:10:26,400 --> 00:10:29,840 Speaker 1: trade and and lend treasury securities to each other within 195 00:10:29,880 --> 00:10:32,960 Speaker 1: the US. So it's it's a very very liquid market. 196 00:10:33,080 --> 00:10:37,240 Speaker 1: There's over nine billion dollars of transactions every day. It's 197 00:10:37,280 --> 00:10:39,679 Speaker 1: one of the most liquid markets in the world. So 198 00:10:40,040 --> 00:10:43,040 Speaker 1: um so so basically you're you're at the whim more 199 00:10:43,080 --> 00:10:45,960 Speaker 1: of dealer balance sheets and bank balance sheets than you 200 00:10:46,000 --> 00:10:48,560 Speaker 1: are worrying about, you know, whether or not you know, 201 00:10:48,600 --> 00:10:53,560 Speaker 1: in London, there's enough dollars for Barclay's Bank to the 202 00:10:53,600 --> 00:10:56,480 Speaker 1: fund themselves, which is what happened during the during the 203 00:10:56,520 --> 00:10:59,240 Speaker 1: financial crisis. So so it's it's a it's a big 204 00:10:59,280 --> 00:11:02,920 Speaker 1: shift and it's a change of mentality because um, you 205 00:11:02,960 --> 00:11:05,800 Speaker 1: won't be paying more if banks find find it hard 206 00:11:05,840 --> 00:11:09,400 Speaker 1: to fund. Um, you'll be paying more if uh um, 207 00:11:09,400 --> 00:11:11,520 Speaker 1: basically if there's too many treasuries out there for the 208 00:11:11,520 --> 00:11:15,640 Speaker 1: amount that people can lend. I thank you so much, 209 00:11:15,920 --> 00:11:19,240 Speaker 1: Ira Jersey of Bloomberg Intelligence. They're a chief interest rate 210 00:11:19,320 --> 00:11:24,040 Speaker 1: strategists explaining everything to do with s O F or sofer. 211 00:11:25,280 --> 00:11:28,559 Speaker 1: Time for Bloomberg Opinion. We're joined by John Author's Bloomberg 212 00:11:28,600 --> 00:11:31,680 Speaker 1: Opinion columnists covering all things on the markets. He joined 213 00:11:31,720 --> 00:11:34,240 Speaker 1: us from our Bloomberg Interactive Broker studio out within a 214 00:11:34,440 --> 00:11:36,920 Speaker 1: very interesting column just about a topic that you and 215 00:11:36,960 --> 00:11:39,720 Speaker 1: I were talking about just recently. Vanni. It seems like, 216 00:11:40,080 --> 00:11:42,160 Speaker 1: you know, the numbers are so bad as it relates 217 00:11:42,160 --> 00:11:44,080 Speaker 1: to the pandemic. Here, some of the numbers, you know, 218 00:11:44,120 --> 00:11:46,400 Speaker 1: as bad as we saw back in March and April. 219 00:11:46,480 --> 00:11:50,200 Speaker 1: Yet the markets generally behaving much much better now than 220 00:11:50,240 --> 00:11:52,600 Speaker 1: they were back in March, and able to get a 221 00:11:52,600 --> 00:11:54,840 Speaker 1: sense of why that might be. We welcome John John, 222 00:11:54,880 --> 00:11:56,679 Speaker 1: thanks so much for joining us here. Let's talk about 223 00:11:56,720 --> 00:12:01,480 Speaker 1: your recent column, Covics nineteen. What are you thinking about? 224 00:12:02,520 --> 00:12:06,440 Speaker 1: I think we're getting to a point where the market 225 00:12:06,720 --> 00:12:14,360 Speaker 1: has to accept that the risks of COVID to economic activity, 226 00:12:14,400 --> 00:12:18,000 Speaker 1: and that's obviously what matters primarily to two markets is 227 00:12:18,040 --> 00:12:20,480 Speaker 1: how much of an effect it has on stuff being 228 00:12:20,960 --> 00:12:27,120 Speaker 1: bought and sold, have risen, have returned, and that does 229 00:12:27,320 --> 00:12:32,160 Speaker 1: need now to be reflected in prices. Now. It's obviously 230 00:12:32,280 --> 00:12:37,240 Speaker 1: very easy to get very much into big, polarized oppositional 231 00:12:37,800 --> 00:12:45,040 Speaker 1: discussions on this. It's obvious that the medical community is 232 00:12:45,040 --> 00:12:47,800 Speaker 1: getting much better at people keeping people alive when they 233 00:12:47,840 --> 00:12:52,160 Speaker 1: catch this, and it's also obvious that we're all learning 234 00:12:52,240 --> 00:12:55,199 Speaker 1: how to keep at least a certain level of activity 235 00:12:55,760 --> 00:12:59,800 Speaker 1: going on, even at points when we're worried about it. Um. So, 236 00:13:00,840 --> 00:13:03,400 Speaker 1: you know, there's no question as far as I can see, 237 00:13:03,400 --> 00:13:06,240 Speaker 1: of needing to go down to the kind of depths 238 00:13:06,280 --> 00:13:11,000 Speaker 1: we saw in March. But if you look at the 239 00:13:11,040 --> 00:13:15,360 Speaker 1: economic activity data, you can see even in Germany, which 240 00:13:15,400 --> 00:13:18,400 Speaker 1: is of the you know, the major Western economy is 241 00:13:18,400 --> 00:13:20,640 Speaker 1: the one that's dealt with the virus best to date, 242 00:13:21,400 --> 00:13:25,320 Speaker 1: you are seeing an unmistakable tick up in hospitalizations and 243 00:13:25,360 --> 00:13:29,720 Speaker 1: you're seeing an unmistakable tick down in economic activity, which, 244 00:13:29,800 --> 00:13:33,120 Speaker 1: unlike in the States, really had just about got back 245 00:13:33,120 --> 00:13:35,960 Speaker 1: to normal for a few weeks at the end of 246 00:13:35,960 --> 00:13:40,360 Speaker 1: the summer, and that's obviously likely to be repeated here 247 00:13:40,360 --> 00:13:43,920 Speaker 1: in the States. It doesn't matter exactly what governors say 248 00:13:44,000 --> 00:13:47,520 Speaker 1: or mandate. If people are worried about the virus, that 249 00:13:47,720 --> 00:13:49,920 Speaker 1: that much less likely to go out. It's not like 250 00:13:50,040 --> 00:13:52,400 Speaker 1: we didn't know this was coming, though, John, I mean, 251 00:13:52,440 --> 00:13:55,520 Speaker 1: we've known for a long time that we were likely 252 00:13:55,559 --> 00:13:57,959 Speaker 1: to not get a vaccine this year, at least for 253 00:13:57,960 --> 00:14:02,720 Speaker 1: for the clubs among us. Sorry, m well, there is that. 254 00:14:02,960 --> 00:14:07,600 Speaker 1: I think the issue that arises there the administration calling 255 00:14:07,640 --> 00:14:10,959 Speaker 1: for me. I think the issue that arises there is 256 00:14:11,760 --> 00:14:17,760 Speaker 1: um that. Uh there was and this wasn't ridiculous. There's 257 00:14:18,200 --> 00:14:22,360 Speaker 1: a widespread belief within the market that the the the 258 00:14:22,440 --> 00:14:25,840 Speaker 1: disease had reached what you could call a choke point 259 00:14:26,960 --> 00:14:32,040 Speaker 1: or even herd immunity either. Once a certain number of 260 00:14:32,080 --> 00:14:36,480 Speaker 1: the people who are the most connected, who of of 261 00:14:36,680 --> 00:14:39,000 Speaker 1: necessity on the day to day lives, are the people 262 00:14:39,040 --> 00:14:42,440 Speaker 1: who come into contact with the most other people once 263 00:14:42,480 --> 00:14:45,040 Speaker 1: they've got it. The theory, and it's not that bad. 264 00:14:45,160 --> 00:14:48,880 Speaker 1: Theory was that it would be much harder for the 265 00:14:48,960 --> 00:14:52,720 Speaker 1: disease to spread again, and so in places like where 266 00:14:52,760 --> 00:14:56,400 Speaker 1: we are here in New York or other cities where 267 00:14:56,400 --> 00:15:02,040 Speaker 1: they have been particularly severe outbreaks. The reasonable belief was 268 00:15:02,120 --> 00:15:04,680 Speaker 1: that it just wasn't going to come back with anything 269 00:15:04,760 --> 00:15:08,840 Speaker 1: like that amount of force. Now, you could still argue 270 00:15:08,880 --> 00:15:12,720 Speaker 1: that in most places around the world, cases are picking 271 00:15:12,840 --> 00:15:18,160 Speaker 1: up worst in areas where they've been least problematic before, 272 00:15:18,200 --> 00:15:21,280 Speaker 1: such as the Upper Midwest here in the States. But 273 00:15:21,440 --> 00:15:23,880 Speaker 1: that's beginning to look ever more tenuous that yeah, there 274 00:15:23,880 --> 00:15:26,200 Speaker 1: there are there is a steady drip of news about 275 00:15:26,200 --> 00:15:28,880 Speaker 1: cases here in New York. There's a number of the 276 00:15:28,920 --> 00:15:32,200 Speaker 1: European places that are having problems had already had quite 277 00:15:32,240 --> 00:15:37,440 Speaker 1: severe outbreaks before. So I think there was a reasonable 278 00:15:37,560 --> 00:15:43,280 Speaker 1: degree of hope, justified or not, that we really weren't 279 00:15:43,320 --> 00:15:46,600 Speaker 1: going to get a sign significant recurrence in the places 280 00:15:46,640 --> 00:15:50,520 Speaker 1: we've had it already. And we're now seeing the markets 281 00:15:50,520 --> 00:15:54,520 Speaker 1: beginning to retreat from that hope. And John, you know, 282 00:15:54,560 --> 00:15:56,480 Speaker 1: I think just looking at Europe there seemed to be 283 00:15:56,480 --> 00:15:58,680 Speaker 1: a little bit of ahead of us again here, and 284 00:15:58,680 --> 00:16:03,440 Speaker 1: we're starting to see some shutdowns in France and Spain 285 00:16:03,520 --> 00:16:07,440 Speaker 1: and other areas and the UK and the UK and 286 00:16:07,520 --> 00:16:11,280 Speaker 1: it's only October, you know, I think it's would it 287 00:16:11,280 --> 00:16:15,080 Speaker 1: be reasonable for people to say this could get materially 288 00:16:15,200 --> 00:16:20,680 Speaker 1: worse as we really get into December, January, February. Yes, 289 00:16:20,760 --> 00:16:23,840 Speaker 1: it would be reasonable to to say that this is 290 00:16:23,840 --> 00:16:27,720 Speaker 1: a time when people are more likely to stay in anyway, 291 00:16:27,800 --> 00:16:33,520 Speaker 1: we have the psychological issue of Christmas coming up. In Britain. 292 00:16:33,600 --> 00:16:36,560 Speaker 1: The rule at the present is is no more than 293 00:16:36,640 --> 00:16:42,040 Speaker 1: six people gathering together in more you know, in indoors, 294 00:16:42,920 --> 00:16:45,160 Speaker 1: even if they're members of the family in the areas 295 00:16:45,160 --> 00:16:49,200 Speaker 1: that are most affected, which basically for most extended families 296 00:16:49,200 --> 00:16:55,200 Speaker 1: means no Christmas dinner, which is a very big families. 297 00:16:55,240 --> 00:16:57,280 Speaker 1: By the way, well there is there there is that 298 00:16:57,400 --> 00:16:59,840 Speaker 1: it might it might actually be bad for the marriage 299 00:17:00,000 --> 00:17:03,960 Speaker 1: its industry, but bad for divorce lawyers. But yet there 300 00:17:04,040 --> 00:17:07,800 Speaker 1: might be slightly at stress there. But but those are 301 00:17:07,840 --> 00:17:11,480 Speaker 1: those are significant issues. And also I nearly missed this 302 00:17:11,520 --> 00:17:13,920 Speaker 1: interview because I was having my flu shot. We are 303 00:17:14,000 --> 00:17:17,960 Speaker 1: now into flu season, uh, and the symptoms of the 304 00:17:18,040 --> 00:17:22,640 Speaker 1: two are quite similar to each other, which gives reasons 305 00:17:22,720 --> 00:17:25,480 Speaker 1: for concern. If you've just had COVID and then you 306 00:17:25,520 --> 00:17:29,120 Speaker 1: get flu, we don't know what that's going to be like, etcetera. Yeah, 307 00:17:29,119 --> 00:17:31,240 Speaker 1: that there are I think there are good reasons to 308 00:17:31,280 --> 00:17:34,480 Speaker 1: believe that this is not going to be as deadly 309 00:17:34,800 --> 00:17:37,639 Speaker 1: per se as it was before, but it could easily 310 00:17:37,640 --> 00:17:42,199 Speaker 1: be very disruptive if Biden wins the presidency, Do the 311 00:17:42,240 --> 00:17:45,480 Speaker 1: markets price out a little bit of the COVID premium 312 00:17:45,560 --> 00:17:49,000 Speaker 1: or the COVID discount in the sense that it's unlikely 313 00:17:49,200 --> 00:17:53,480 Speaker 1: that Biden wouldn't implement some federal sort of orders if 314 00:17:53,520 --> 00:17:55,359 Speaker 1: it came to that, Whereas at the moment we know 315 00:17:55,400 --> 00:18:00,159 Speaker 1: we're not getting those kinds of orders. I I doubt 316 00:18:00,240 --> 00:18:04,000 Speaker 1: partly because he's not getting it. He's not getting in 317 00:18:04,080 --> 00:18:09,640 Speaker 1: until January the earliest um, by which point, even if 318 00:18:09,640 --> 00:18:12,040 Speaker 1: things are terrible, you would if things are at the 319 00:18:12,160 --> 00:18:16,040 Speaker 1: very worst, then the precedent of Spanish flu in nine 320 00:18:16,280 --> 00:18:18,280 Speaker 1: eighteen suggests that by then it would more or lesser 321 00:18:18,280 --> 00:18:24,600 Speaker 1: blown itself out anyway, So I doubt I doubt it 322 00:18:24,640 --> 00:18:28,600 Speaker 1: would have that big There are many other reasons why 323 00:18:28,640 --> 00:18:32,399 Speaker 1: a Biden victory would affect the market. I don't see 324 00:18:32,400 --> 00:18:37,280 Speaker 1: it's having that big of an effect. And at this point, 325 00:18:37,400 --> 00:18:43,400 Speaker 1: masks are so politicized. You could have a federal mask mandate, 326 00:18:44,280 --> 00:18:48,720 Speaker 1: and I'm not sure how big an effect on people's 327 00:18:48,760 --> 00:18:53,520 Speaker 1: behavior that would have a good point here, So I 328 00:18:53,800 --> 00:18:55,600 Speaker 1: it just feels like, you know, you could make an 329 00:18:55,640 --> 00:18:59,080 Speaker 1: argument for uh, you know, some real risk in the 330 00:18:59,160 --> 00:19:02,560 Speaker 1: near term. On yes, I mean, there are plenty of 331 00:19:02,560 --> 00:19:04,760 Speaker 1: other reasons for risk in the very near term as well, 332 00:19:04,760 --> 00:19:07,919 Speaker 1: but people were hoping COVID wasn't one of them, and 333 00:19:08,119 --> 00:19:10,439 Speaker 1: they're giving up on that type. Hi, John, thanks so 334 00:19:10,480 --> 00:19:13,040 Speaker 1: much for joining us, and congratulations on your flu shot. 335 00:19:13,040 --> 00:19:15,000 Speaker 1: Always going to get that out of the way. John Authors, 336 00:19:15,000 --> 00:19:19,440 Speaker 1: Bloomberg Markets Senior editor, giving us his thoughts on potential 337 00:19:19,440 --> 00:19:21,600 Speaker 1: for near term volatile I'm looking at the vix here, 338 00:19:22,160 --> 00:19:24,680 Speaker 1: which is something that Tom Pein loves to call out 339 00:19:24,720 --> 00:19:26,960 Speaker 1: every morning. The vix is above thirty three. That's a 340 00:19:27,080 --> 00:19:31,520 Speaker 1: relatively high level, indicating some risky in the market. Well, 341 00:19:31,520 --> 00:19:35,840 Speaker 1: our next guest has degrees in Russian, Eastern European, and 342 00:19:35,880 --> 00:19:39,000 Speaker 1: Central Asian studies from Harvard University, so the natural place 343 00:19:39,080 --> 00:19:42,400 Speaker 1: for her to end up is leading up Third Bridges 344 00:19:42,560 --> 00:19:47,400 Speaker 1: coverage in therapeutics if you don't mind. Thanks to Jaylan Mamadama, 345 00:19:47,520 --> 00:19:51,720 Speaker 1: who does lead up the healthcare analysis at Third Bridge, 346 00:19:51,840 --> 00:19:55,080 Speaker 1: for joining us. Jollen, you know, I was being a 347 00:19:55,119 --> 00:19:57,760 Speaker 1: little facetious earlier, but it is wonderful to have all 348 00:19:57,760 --> 00:20:00,119 Speaker 1: of that in the background, because we're dealing with a 349 00:20:00,119 --> 00:20:02,760 Speaker 1: global pandemic right here, and we're dealing with global companies 350 00:20:02,800 --> 00:20:06,080 Speaker 1: trying to come up with therapeutics, with vaccines and with cures. 351 00:20:06,440 --> 00:20:08,920 Speaker 1: And I'm curious as to you know, where you think 352 00:20:09,560 --> 00:20:13,680 Speaker 1: the first of the the better vaccines. Let's say we'll 353 00:20:13,720 --> 00:20:18,000 Speaker 1: come out of perfect Thank you so much. Funny and 354 00:20:18,080 --> 00:20:23,520 Speaker 1: justin starting up with earnings from Lily Merchanciser this morning, 355 00:20:23,520 --> 00:20:26,920 Speaker 1: he's really key that you're looking at the second half 356 00:20:26,920 --> 00:20:28,760 Speaker 1: in Q three is to see who's done a better 357 00:20:28,840 --> 00:20:30,920 Speaker 1: job in terms of weathering the storm. And this comes 358 00:20:30,920 --> 00:20:34,160 Speaker 1: down to the vaccine conversation. Um. The media has really 359 00:20:34,200 --> 00:20:36,320 Speaker 1: portrayed us to who's going to come to the market 360 00:20:36,440 --> 00:20:39,600 Speaker 1: first and our experts. Do you really think fisor biontic 361 00:20:39,720 --> 00:20:42,880 Speaker 1: and what that maderna will be making up the first 362 00:20:42,880 --> 00:20:46,240 Speaker 1: generation of vaccines. Now, having said that, we do think 363 00:20:46,280 --> 00:20:49,560 Speaker 1: that the most important mechanism to look after is them 364 00:20:49,600 --> 00:20:52,399 Speaker 1: to be the durability for longevity of the efficacy in 365 00:20:52,480 --> 00:20:56,960 Speaker 1: a mass population, as well as the safety pertaining to 366 00:20:57,280 --> 00:20:59,680 Speaker 1: the durability mechanism. And what I mean by that is 367 00:20:59,680 --> 00:21:01,520 Speaker 1: that there's a window of time where the patient isn't 368 00:21:01,560 --> 00:21:06,280 Speaker 1: client uh to get more infected due to declining antibodies. 369 00:21:06,320 --> 00:21:09,040 Speaker 1: Now as we were pertain to the RNA vaccine, So 370 00:21:09,119 --> 00:21:11,400 Speaker 1: both fives are in Maderna. They have historically shown poured 371 00:21:11,440 --> 00:21:15,720 Speaker 1: your ability and T cell responses, but there are um 372 00:21:15,800 --> 00:21:18,400 Speaker 1: not too many safety concerns, and looking at the ste 373 00:21:18,560 --> 00:21:23,159 Speaker 1: Way guideline not being a strict but efficiency and the 374 00:21:23,280 --> 00:21:26,440 Speaker 1: meeting two months follow up, we essentially see these first 375 00:21:26,440 --> 00:21:30,080 Speaker 1: coming to market, capturing maybe about fifty percent share, and 376 00:21:30,080 --> 00:21:33,359 Speaker 1: then leveling off until we see more durable options come 377 00:21:33,400 --> 00:21:36,840 Speaker 1: out out of the novavaxes, the j and Jason and 378 00:21:37,119 --> 00:21:41,160 Speaker 1: the Marks and especially also both on the preventative vaccines 379 00:21:41,280 --> 00:21:45,440 Speaker 1: and on the prophylactic sides like with the oral antivio 380 00:21:45,520 --> 00:21:48,960 Speaker 1: agents that both fives are working on. So, Jaylen, is 381 00:21:48,960 --> 00:21:52,800 Speaker 1: it the expectation within the health care community that um, 382 00:21:52,920 --> 00:21:57,360 Speaker 1: there will be one kind of go to vaccine or 383 00:21:57,400 --> 00:22:00,880 Speaker 1: will there be kind of a cocktail or uh approach 384 00:22:00,920 --> 00:22:03,000 Speaker 1: where maybe some people will get one or more of 385 00:22:03,000 --> 00:22:04,840 Speaker 1: this vaccine and others will get one or more of 386 00:22:04,880 --> 00:22:09,760 Speaker 1: that vaccine. What's the expectation currently? Yeah, So definitely, although 387 00:22:09,800 --> 00:22:11,680 Speaker 1: I don't like to talk about this in terms of winners, 388 00:22:11,800 --> 00:22:14,560 Speaker 1: there will be three four candidates out there, right, and 389 00:22:14,960 --> 00:22:18,640 Speaker 1: just from the standpoint of of getting the vaccine administrat 390 00:22:18,680 --> 00:22:21,160 Speaker 1: a mass scale, we are going to need a few 391 00:22:21,200 --> 00:22:24,919 Speaker 1: of those players now. In terms of considerations on administration, 392 00:22:25,320 --> 00:22:28,480 Speaker 1: the elderly are the average population and the We saw 393 00:22:28,480 --> 00:22:31,480 Speaker 1: a recent JAMA article noting that you know, living your 394 00:22:31,560 --> 00:22:35,000 Speaker 1: technology platforms like the R and AS, there are safety 395 00:22:35,040 --> 00:22:39,280 Speaker 1: reservations as to the adoption uh in in those you know, 396 00:22:39,320 --> 00:22:41,840 Speaker 1: older populations. For us, when you look at Mark although 397 00:22:41,960 --> 00:22:45,160 Speaker 1: much later entrance in the in the game um they're 398 00:22:45,280 --> 00:22:48,679 Speaker 1: using their established DSc vector platform that has shown amazing 399 00:22:48,680 --> 00:22:52,200 Speaker 1: efvocacy of the bowl of vaccine. Right, it's also going 400 00:22:52,240 --> 00:22:55,640 Speaker 1: to be potentially in single dose and oral formulation, which 401 00:22:55,640 --> 00:22:58,160 Speaker 1: is super convenient and again no reservations when it comes 402 00:22:58,160 --> 00:23:02,040 Speaker 1: to administration for the elderly, You're absolutely right, they're different 403 00:23:02,440 --> 00:23:05,240 Speaker 1: age categories that are probably going to adapt to this differently. 404 00:23:05,680 --> 00:23:09,760 Speaker 1: Having said that, um Nova vacs also has a combined 405 00:23:10,480 --> 00:23:14,680 Speaker 1: potentially combining to the COVID nineteen vaccine with their flu vaccine, 406 00:23:14,720 --> 00:23:17,240 Speaker 1: so from an administration standpoint, that's going to be much 407 00:23:17,280 --> 00:23:19,880 Speaker 1: more convenient and those are the players that we're going 408 00:23:19,920 --> 00:23:21,960 Speaker 1: to be seeing, you know, three or four of those 409 00:23:22,560 --> 00:23:26,240 Speaker 1: gaining adoption at mass scales, but definitely not not one 410 00:23:26,280 --> 00:23:29,600 Speaker 1: player that would not be sufficient in terms of UM, 411 00:23:29,840 --> 00:23:32,919 Speaker 1: in terms of uh mascale adoption, which is really the 412 00:23:32,960 --> 00:23:37,639 Speaker 1: case with really any other therapeutic indications, Jayleen, At some 413 00:23:37,680 --> 00:23:40,679 Speaker 1: point we should have several vaccines, I mean hopefully, right, 414 00:23:40,720 --> 00:23:42,639 Speaker 1: that would be the idea. Do they all stay in 415 00:23:42,640 --> 00:23:45,880 Speaker 1: existence then or or do some end up with better 416 00:23:45,880 --> 00:23:50,000 Speaker 1: marks than others. Yeah, that's a really good question. I 417 00:23:50,000 --> 00:23:52,600 Speaker 1: mean with the RNAs, for example, we do see these 418 00:23:52,600 --> 00:23:55,639 Speaker 1: phasing out and then the URNA platforms being used in 419 00:23:55,680 --> 00:23:58,840 Speaker 1: different affections to be duringn oncology indications, right because on 420 00:23:58,960 --> 00:24:03,199 Speaker 1: fibers partnering with BioNTech um, that's really they're investing in 421 00:24:03,240 --> 00:24:06,320 Speaker 1: the in the in the platform with COVID nineteen as 422 00:24:06,320 --> 00:24:09,199 Speaker 1: a starting point. But likely it is going to be 423 00:24:09,240 --> 00:24:13,560 Speaker 1: faced out when these more durable mechanisms comes to the 424 00:24:13,640 --> 00:24:17,600 Speaker 1: floor out of you know j J and NOLO vax 425 00:24:17,640 --> 00:24:20,240 Speaker 1: and MARK and the two areas to really track are 426 00:24:20,280 --> 00:24:23,280 Speaker 1: both the antibody responses UM as well as the T 427 00:24:23,400 --> 00:24:26,760 Speaker 1: cell responses. As we are still trying to understand better 428 00:24:26,840 --> 00:24:30,240 Speaker 1: the passagenesses of of of COVID nineteen UM. Now, the 429 00:24:30,280 --> 00:24:33,359 Speaker 1: prophylactics options are also going to be interesting to track. 430 00:24:34,359 --> 00:24:38,280 Speaker 1: UM the merk oral anti viral combination with bridge back 431 00:24:38,359 --> 00:24:41,960 Speaker 1: bio UM. We're looking out for the safety data out 432 00:24:41,960 --> 00:24:45,280 Speaker 1: of that. But before we get a vaccine and mass scale, 433 00:24:45,760 --> 00:24:50,359 Speaker 1: these types of prophylactic options, especially in oral formulation, will 434 00:24:50,840 --> 00:24:54,840 Speaker 1: will really we're expecting to see why viceprea adoption, especially 435 00:24:55,040 --> 00:24:58,760 Speaker 1: in skilled nursing facilities. Hey, Jalan, just about the thirty 436 00:24:58,800 --> 00:25:02,280 Speaker 1: seconds left? UM, how confident is the industry that they 437 00:25:02,280 --> 00:25:06,080 Speaker 1: can actually produce and distribute this at scale? Yeah, So 438 00:25:06,119 --> 00:25:08,440 Speaker 1: we were looking at the first hundred million doses by year, 439 00:25:08,520 --> 00:25:11,399 Speaker 1: and our experts don't think that that is viable. I 440 00:25:11,400 --> 00:25:13,960 Speaker 1: mean we're seeing visor bions and keep pushing the timeline 441 00:25:13,960 --> 00:25:16,920 Speaker 1: out further and further. UM, we're probably going to see 442 00:25:16,920 --> 00:25:21,080 Speaker 1: the first hundred million doses sometime you know, mid next year. 443 00:25:21,240 --> 00:25:23,000 Speaker 1: And what I mean by that is not just ready 444 00:25:23,040 --> 00:25:27,800 Speaker 1: to go, but ready to go and administer to the population. UM. 445 00:25:28,200 --> 00:25:31,080 Speaker 1: In terms of viability, looks the urns are easiest to 446 00:25:31,119 --> 00:25:34,720 Speaker 1: man a factor right the but then that becomes a 447 00:25:34,720 --> 00:25:37,359 Speaker 1: little bit more complicated with the two dozing regiments, so 448 00:25:37,480 --> 00:25:40,280 Speaker 1: anything that single dose will probably catch up to the 449 00:25:40,480 --> 00:25:43,520 Speaker 1: two dozen regimen vaccines. Hey, Jalen, thanks so much for 450 00:25:43,560 --> 00:25:46,480 Speaker 1: joining us. We really appreciate your insight getting us updated 451 00:25:46,480 --> 00:25:50,080 Speaker 1: here on some of the therapeutics and vaccines and the timelines. 452 00:25:50,600 --> 00:25:54,800 Speaker 1: Jalen Momadoba, global sector lead for healthcare at Third Bridge, 453 00:25:55,000 --> 00:25:57,919 Speaker 1: joining us to lend her insights into what is the 454 00:25:58,119 --> 00:26:05,240 Speaker 1: topic of the moment and that is exact see Thanks 455 00:26:05,280 --> 00:26:08,520 Speaker 1: for listening to Bloomberg Markets podcast. You can subscribe and 456 00:26:08,600 --> 00:26:11,960 Speaker 1: listen to interviews at Apple Podcasts or whatever a podcast 457 00:26:12,000 --> 00:26:15,240 Speaker 1: platform you prefer. I'm Bonnie Quinn. I'm on Twitter at 458 00:26:15,240 --> 00:26:17,600 Speaker 1: Bonnie Quinn. And I'm Paul Sweeney. I'm on Twitter at 459 00:26:17,600 --> 00:26:20,479 Speaker 1: pt Sweeney. Before the podcast, you can always catch us 460 00:26:20,520 --> 00:26:21,920 Speaker 1: worldwide at Bloomberg Radio