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 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,360 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple podcast or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:20,360 Speaker 1: and on Bloomberg dot com. Apple is up two points 7 00:00:20,440 --> 00:00:23,680 Speaker 1: x percent today for the year, though year over year, 8 00:00:23,680 --> 00:00:26,079 Speaker 1: I should say from this day last year, Apple is 9 00:00:26,160 --> 00:00:29,120 Speaker 1: up eight So this two and a half percent increase 10 00:00:29,640 --> 00:00:34,000 Speaker 1: probably not the biggest of its year. Nevertheless, it's up 11 00:00:34,080 --> 00:00:36,839 Speaker 1: on an electric vehicle report. It's going to make one. 12 00:00:36,880 --> 00:00:38,239 Speaker 1: We knew it was going to, but now we have 13 00:00:38,320 --> 00:00:40,520 Speaker 1: a little bit more detail. So let's bring in somebody 14 00:00:40,520 --> 00:00:42,800 Speaker 1: who knows a lot about what Apple is doing and 15 00:00:42,880 --> 00:00:46,040 Speaker 1: how it can be successful done Eyes of web Bush 16 00:00:46,080 --> 00:00:48,840 Speaker 1: Securities joins so down. We knew that at some point 17 00:00:48,880 --> 00:00:51,960 Speaker 1: we would probably get an electric vehicle from Apple. What 18 00:00:52,080 --> 00:00:53,840 Speaker 1: do we know now that we didn't know in the 19 00:00:53,920 --> 00:00:56,800 Speaker 1: last few days. Well, I think it's really around the 20 00:00:56,800 --> 00:01:01,080 Speaker 1: battery technology and some of the innovations going on within Cupertino. 21 00:01:01,160 --> 00:01:02,600 Speaker 1: I mean, if you look at the e V and 22 00:01:03,280 --> 00:01:07,160 Speaker 1: the autonomous visioned Apple. There's been a lot of starts 23 00:01:07,160 --> 00:01:09,959 Speaker 1: and stops, but clearly they're going to dive into the 24 00:01:10,000 --> 00:01:12,200 Speaker 1: deep end of the pool. I believe it's going to 25 00:01:12,280 --> 00:01:15,800 Speaker 1: be through more of a strategic partnership where clearly it's 26 00:01:15,800 --> 00:01:18,880 Speaker 1: going to send a ripple effect across e VY and 27 00:01:18,959 --> 00:01:22,360 Speaker 1: from a stock perspective, it's just another arrow in the 28 00:01:22,480 --> 00:01:26,119 Speaker 1: quiver when you look at the overall ecosystem going forward, 29 00:01:27,400 --> 00:01:31,120 Speaker 1: Where does the confidence come from that Apple will be successful? 30 00:01:31,480 --> 00:01:33,480 Speaker 1: I mean it's it's great at other things, but I 31 00:01:33,480 --> 00:01:38,119 Speaker 1: mean vehicles are a whole different kettle fish. As they say, yeah, 32 00:01:38,160 --> 00:01:40,559 Speaker 1: no doubt, And that's why I don't believe that they 33 00:01:40,720 --> 00:01:44,560 Speaker 1: ultimately start manufacturing their own cars. I believe they're going 34 00:01:44,600 --> 00:01:47,800 Speaker 1: to leave that to a partner, potentially a Tesso or 35 00:01:47,880 --> 00:01:50,880 Speaker 1: v W because you know, I think that's the thing 36 00:01:51,000 --> 00:01:54,680 Speaker 1: investors want to see them, from a software perspective, vertically 37 00:01:54,800 --> 00:01:57,640 Speaker 1: integrate their software into vehicles. And I think if you 38 00:01:57,720 --> 00:02:00,400 Speaker 1: go out into the next few years, EVE, it's a 39 00:02:00,440 --> 00:02:03,160 Speaker 1: golden age and I think it's even similar what we're 40 00:02:03,160 --> 00:02:06,080 Speaker 1: seeing in China and Bay Do that they potentially you're 41 00:02:06,080 --> 00:02:08,760 Speaker 1: going to get into evs because we're talking about a 42 00:02:08,800 --> 00:02:11,800 Speaker 1: trillion dollar mark at the next decade, and the Apple 43 00:02:11,919 --> 00:02:16,280 Speaker 1: recognizes where they sit. Autonomous is key, and I think 44 00:02:16,320 --> 00:02:18,240 Speaker 1: this is just going to be another way for them 45 00:02:18,280 --> 00:02:22,760 Speaker 1: to monetize that you know, brand, which is unparalleled. Um, 46 00:02:22,800 --> 00:02:25,800 Speaker 1: this same argument is partially what's behind Tesla is nearly 47 00:02:25,840 --> 00:02:29,160 Speaker 1: seven h again this year, right while we're at three 48 00:02:29,160 --> 00:02:32,120 Speaker 1: percent or so ev take up right now, there will 49 00:02:32,160 --> 00:02:35,120 Speaker 1: be a point at which that becomes, you know, exponentially larger. 50 00:02:36,000 --> 00:02:38,480 Speaker 1: What about the idea of Apple teaming up with a Tesla, 51 00:02:38,680 --> 00:02:43,320 Speaker 1: is that something that would ever happened, Well, I think 52 00:02:43,360 --> 00:02:46,239 Speaker 1: they could potentially Apple and Tesla, and I think that's 53 00:02:46,240 --> 00:02:49,320 Speaker 1: a partnership that potentially could happen in terms of how 54 00:02:49,360 --> 00:02:52,480 Speaker 1: it fits strategically. So I think that could be somewhere 55 00:02:52,480 --> 00:02:57,720 Speaker 1: on the horizon two thousand one Musk and Cook on EVS. 56 00:02:57,840 --> 00:02:59,959 Speaker 1: That would be something that could have a ripple. In fact, 57 00:03:00,040 --> 00:03:03,480 Speaker 1: that's why I believe a test or VW is ultimately 58 00:03:03,480 --> 00:03:09,120 Speaker 1: who Apple partners with, right and essentially Apple needs to 59 00:03:09,160 --> 00:03:11,160 Speaker 1: find a partner. So what would be the best partner. 60 00:03:13,480 --> 00:03:16,560 Speaker 1: I'm the bed the best partners in stree mode in Tesla, 61 00:03:16,639 --> 00:03:18,600 Speaker 1: I think that's one that would make the most sense 62 00:03:18,600 --> 00:03:22,760 Speaker 1: strategically in terms of going after that market, especially where 63 00:03:22,800 --> 00:03:24,520 Speaker 1: e V is right now. I mean right now, in 64 00:03:24,600 --> 00:03:27,359 Speaker 1: terms of the e V market, it's Testa's world and 65 00:03:27,440 --> 00:03:30,040 Speaker 1: everyone else is paying rent. And that's something I can 66 00:03:30,080 --> 00:03:35,200 Speaker 1: see Apple further and further penetrating through a partnership. Down 67 00:03:35,280 --> 00:03:37,520 Speaker 1: talk to us about the rest of Apple's future. What's 68 00:03:37,520 --> 00:03:39,600 Speaker 1: your price target on Apple right now and what do 69 00:03:39,640 --> 00:03:43,480 Speaker 1: you see coming in the nearer future. Yeah, right now 70 00:03:43,520 --> 00:03:47,080 Speaker 1: we're a hundred sixty dollar price target two hundred bult case. 71 00:03:47,440 --> 00:03:50,520 Speaker 1: I continue to you as a supercycle iPhone twelve. I 72 00:03:50,560 --> 00:03:53,280 Speaker 1: think it's really just playing out in terms of China. 73 00:03:53,400 --> 00:03:57,080 Speaker 1: This is a key market, and to me, Apple is 74 00:03:57,080 --> 00:03:59,440 Speaker 1: a stock that I think invest is just further and 75 00:03:59,480 --> 00:04:02,520 Speaker 1: further appreciating in terms of what I'd view as an 76 00:04:02,600 --> 00:04:07,080 Speaker 1: unparalleled upgrade opportunity. That's why the super cycle pieces is 77 00:04:07,200 --> 00:04:10,440 Speaker 1: taken hold amazing. Then I also want to ask you 78 00:04:10,480 --> 00:04:13,240 Speaker 1: about the performance of Tesla on its first day in 79 00:04:13,360 --> 00:04:16,080 Speaker 1: the SMP five hundred and whether it adds to volatility. 80 00:04:16,240 --> 00:04:18,480 Speaker 1: So obviously we saw you know, run up and then 81 00:04:18,520 --> 00:04:21,680 Speaker 1: a little bit of a set off. What happens you know, 82 00:04:21,760 --> 00:04:26,080 Speaker 1: does it settle into regular SMP action. Yeah, I think 83 00:04:26,120 --> 00:04:27,760 Speaker 1: that was a bit of a sell in the news. 84 00:04:27,880 --> 00:04:31,560 Speaker 1: You know, obviously parabolic move into SMP five hundred inclusions. 85 00:04:32,200 --> 00:04:36,080 Speaker 1: It's really all about demand here. Demand looks very strong 86 00:04:36,120 --> 00:04:40,279 Speaker 1: in terms of December, especially in China. That's really the 87 00:04:40,279 --> 00:04:43,120 Speaker 1: winchman to move the stock higher. And that's why, you know, 88 00:04:43,120 --> 00:04:46,159 Speaker 1: we have a thousand hour bulk case on Tessa, and 89 00:04:46,200 --> 00:04:48,920 Speaker 1: I think it just comes down to execution in this 90 00:04:49,080 --> 00:04:52,320 Speaker 1: market you're seeing in China too, where it's only three 91 00:04:52,400 --> 00:04:54,880 Speaker 1: percent of all overall autos today, we think going to 92 00:04:55,000 --> 00:04:58,480 Speaker 1: ten percent untill two thousand twenty five. That's why right now, 93 00:04:58,640 --> 00:05:00,760 Speaker 1: e Z is you know, I think one of the 94 00:05:00,800 --> 00:05:05,080 Speaker 1: more transformational market opportunities we've seen in our last twenty years. Yeah. Well, 95 00:05:05,120 --> 00:05:07,240 Speaker 1: for sure of you watching that. I mean a lot 96 00:05:07,320 --> 00:05:10,200 Speaker 1: of people that that's that's all that coming are benefiting, right. 97 00:05:10,640 --> 00:05:12,200 Speaker 1: So I want to ask you as well about the 98 00:05:12,440 --> 00:05:17,360 Speaker 1: solar winds and the hat I mean the cybersecurity industry, 99 00:05:17,640 --> 00:05:23,920 Speaker 1: will is ultimately benefit it or hurt it. Well, for cybersecurity, 100 00:05:24,400 --> 00:05:26,720 Speaker 1: I think it could have three to five dips of 101 00:05:26,800 --> 00:05:29,520 Speaker 1: growth in the near term. I mean, this is what 102 00:05:29,720 --> 00:05:34,600 Speaker 1: likely looks like probably the biggest cyber security attack potentially 103 00:05:34,600 --> 00:05:36,839 Speaker 1: in the history and and and it's it's a black 104 00:05:36,880 --> 00:05:42,040 Speaker 1: eye for the overall for the industry, but the beneficiaries 105 00:05:42,080 --> 00:05:45,520 Speaker 1: are going to be massive. Because government agency is an enterprise, 106 00:05:45,880 --> 00:05:49,000 Speaker 1: they're gonna need to spend on companies like z Scale 107 00:05:49,080 --> 00:05:53,920 Speaker 1: or Tenable power Out, stail Point, among others. And that's 108 00:05:53,920 --> 00:05:57,080 Speaker 1: why you've seen these stocks continue move higher in terms 109 00:05:57,120 --> 00:05:59,600 Speaker 1: of where cybersecuit is going, especially in the shift to 110 00:05:59,680 --> 00:06:02,560 Speaker 1: claud Out. And this is you know, obviously this attack 111 00:06:02,680 --> 00:06:07,159 Speaker 1: just speaks of sophistication and threat, but that's a silver 112 00:06:07,360 --> 00:06:12,440 Speaker 1: lining in this very unfortunate incident. It's bullish for cybersecurity 113 00:06:12,480 --> 00:06:16,159 Speaker 1: stocks and investors are continuing to move those higher. What 114 00:06:16,240 --> 00:06:19,640 Speaker 1: are your topics in the space right now? Down the 115 00:06:19,680 --> 00:06:27,320 Speaker 1: topics and cybersecurity are Tenable, sail Point, z Scaler as 116 00:06:27,360 --> 00:06:29,800 Speaker 1: well as pal Out, So those are kind of names 117 00:06:29,839 --> 00:06:32,600 Speaker 1: front and center that I think benefit here. And we 118 00:06:32,720 --> 00:06:38,320 Speaker 1: believe cybersecurity stocked overall could be up more than between 119 00:06:38,360 --> 00:06:42,200 Speaker 1: now and the two thousand one. To me intact, taking 120 00:06:42,200 --> 00:06:46,000 Speaker 1: a step back, it's cloud cyber security and overall than 121 00:06:46,120 --> 00:06:49,800 Speaker 1: games led by Apple. That's the way to play this market. Amazing, Dum, 122 00:06:49,920 --> 00:06:51,839 Speaker 1: thank you so much for all of that, all of 123 00:06:51,839 --> 00:06:55,159 Speaker 1: your intelligence. Down Lives, Managing Director of Equity Research at 124 00:06:55,160 --> 00:07:01,800 Speaker 1: web Bush Securities. Well, it's pretty wild year for equity markets. 125 00:07:01,839 --> 00:07:05,600 Speaker 1: We're u S five hundred, but we really, I mean 126 00:07:05,640 --> 00:07:09,039 Speaker 1: we dropped into you bear market territory more than that. 127 00:07:09,120 --> 00:07:11,800 Speaker 1: In fact, we were down about thirty something percent at 128 00:07:11,800 --> 00:07:15,560 Speaker 1: one point in March. It's been even wilder year for treasuries. 129 00:07:15,840 --> 00:07:18,960 Speaker 1: We went from you know, one point nine something percent 130 00:07:19,160 --> 00:07:22,240 Speaker 1: right down to fifty basis points and we've retraced a 131 00:07:22,280 --> 00:07:25,360 Speaker 1: little bit of that now. So let's bring in somebody 132 00:07:25,400 --> 00:07:28,480 Speaker 1: you have to advise clients through this whole volatility. Lisa 133 00:07:28,520 --> 00:07:31,200 Speaker 1: Charlotte is the chief investment officer for wealth management at 134 00:07:31,240 --> 00:07:33,880 Speaker 1: Morgan Stanley about two and a half trillion dollars in 135 00:07:33,920 --> 00:07:37,480 Speaker 1: client assets. Lisa, how are you feeling as we approach 136 00:07:37,560 --> 00:07:42,720 Speaker 1: the end of twenty twenty So, um, look, we're feeling 137 00:07:42,960 --> 00:07:47,800 Speaker 1: um bullish. Uh, clearly, you know we believe that that um, 138 00:07:47,880 --> 00:07:52,280 Speaker 1: we're in a v shaped recovery. Although it's unfortunate that 139 00:07:52,640 --> 00:07:56,560 Speaker 1: you know, we're currently experiencing this this latest surge in 140 00:07:56,600 --> 00:08:00,560 Speaker 1: the virus um, we are constructive that potential it will 141 00:08:00,600 --> 00:08:04,160 Speaker 1: be the last such surge. Um. You know, as we 142 00:08:04,280 --> 00:08:07,040 Speaker 1: get through the months of the tough months of January 143 00:08:07,040 --> 00:08:12,960 Speaker 1: and February and and get larger portions of the population vaccinated. 144 00:08:13,760 --> 00:08:18,040 Speaker 1: But the momentum, the underlying momentum in the economy continues 145 00:08:18,120 --> 00:08:21,000 Speaker 1: to be very solid. I think, you know, some of 146 00:08:21,000 --> 00:08:23,600 Speaker 1: the backward looking data that we've gotten over the last 147 00:08:23,720 --> 00:08:27,240 Speaker 1: eight weeks, you know, showed that there was slowing in 148 00:08:27,280 --> 00:08:29,840 Speaker 1: November and December. We could as you noted, that the 149 00:08:29,880 --> 00:08:34,360 Speaker 1: consumer confidence numbers fell more than expected. But uh, you know, 150 00:08:34,440 --> 00:08:38,000 Speaker 1: the past is the Finally, the passage of this fiscal 151 00:08:38,080 --> 00:08:43,280 Speaker 1: stimulus spell should put a floor underneath confidence. And that 152 00:08:43,520 --> 00:08:47,000 Speaker 1: combined with with um, you know, the vaccine should should 153 00:08:47,000 --> 00:08:50,520 Speaker 1: be able to to bridge us to to uh a 154 00:08:50,559 --> 00:08:53,120 Speaker 1: full recovery by the middle of next year. And and 155 00:08:53,200 --> 00:08:56,920 Speaker 1: you know, we think markets can kind of get uh 156 00:08:57,000 --> 00:09:00,880 Speaker 1: huh so more to go. Obviously, you're you said your bullish. 157 00:09:00,920 --> 00:09:02,520 Speaker 1: I mean, if you had stayed in the market, if 158 00:09:02,520 --> 00:09:04,760 Speaker 1: you had kept your nerves this whole time, you'd be 159 00:09:04,840 --> 00:09:07,960 Speaker 1: quite happy. But now I wonder what's priced in lison, 160 00:09:08,080 --> 00:09:10,360 Speaker 1: what's left to price and surely some of that good 161 00:09:10,360 --> 00:09:14,080 Speaker 1: news is already priced. Yeah. Look, I think that the 162 00:09:14,160 --> 00:09:17,480 Speaker 1: reason markets have stalled out here at the end of 163 00:09:17,480 --> 00:09:21,920 Speaker 1: the year is in part, uh, not just about you know, 164 00:09:22,000 --> 00:09:26,400 Speaker 1: sentiment about the virus itself, but it's about the fact 165 00:09:26,400 --> 00:09:30,199 Speaker 1: that we don't have a lot of more positive catalysts 166 00:09:30,200 --> 00:09:32,960 Speaker 1: to go. This is a market that has priced an 167 00:09:32,960 --> 00:09:38,400 Speaker 1: extraordinary amount of what has proven to be upside surprises, right, 168 00:09:38,520 --> 00:09:42,600 Speaker 1: whether we're talking about the speed of recovery, whether we're 169 00:09:42,600 --> 00:09:45,439 Speaker 1: talking about the fact that retail sales have held up, 170 00:09:45,880 --> 00:09:48,880 Speaker 1: whether we're talking about the fact that consumer balance sheets 171 00:09:49,600 --> 00:09:53,959 Speaker 1: have not deteriorated, credit card chart drops or not skyrocketing, 172 00:09:54,080 --> 00:09:59,000 Speaker 1: bankruptcies are not sky rocketing. The stimulus measures, uh, you 173 00:09:59,000 --> 00:10:03,240 Speaker 1: know thus far appear to have worked. Um. And you know, 174 00:10:03,360 --> 00:10:10,199 Speaker 1: we are looking at uh consensus forecast for corporate profits 175 00:10:10,280 --> 00:10:13,320 Speaker 1: next year to actually be up year over year about 176 00:10:14,040 --> 00:10:17,200 Speaker 1: pent So, uh, that's a lot of good news. And 177 00:10:17,280 --> 00:10:20,520 Speaker 1: that's certainly what you know, a price earning ordered price 178 00:10:20,520 --> 00:10:24,000 Speaker 1: earnings ratio of of twenty two times tells you I 179 00:10:24,240 --> 00:10:25,760 Speaker 1: and so this is a market that's going to have 180 00:10:25,840 --> 00:10:29,160 Speaker 1: to digest and and let a little bit of main 181 00:10:29,200 --> 00:10:33,880 Speaker 1: street and reality and the numbers catch up to the anticipation. 182 00:10:34,000 --> 00:10:37,040 Speaker 1: But you know, we think that next year, UM, you know, 183 00:10:37,200 --> 00:10:40,920 Speaker 1: stocks uh, at least as measured by the index, you know, 184 00:10:41,000 --> 00:10:44,000 Speaker 1: can be up another you know, five seven percent for 185 00:10:44,160 --> 00:10:48,840 Speaker 1: those deliance however that need you know something more than 186 00:10:48,880 --> 00:10:52,120 Speaker 1: that that are looking for ten percent or fifteen. What 187 00:10:52,160 --> 00:10:55,440 Speaker 1: we've said is you've got to look at individual stocks. 188 00:10:55,520 --> 00:10:57,679 Speaker 1: You've got to look outside the US. You've got to 189 00:10:57,679 --> 00:11:01,840 Speaker 1: look in small and mid caps, uh, because the index 190 00:11:01,880 --> 00:11:06,240 Speaker 1: itself is really pretty rich. What about stocks that had 191 00:11:06,320 --> 00:11:10,000 Speaker 1: been overlooked, such as financials where we saw a massive 192 00:11:10,120 --> 00:11:12,800 Speaker 1: rally yesterday a Goldman, Zachs, Take Morgan and so on 193 00:11:12,920 --> 00:11:17,640 Speaker 1: after the buybacks and dividends news. They're you know, undervalued 194 00:11:17,640 --> 00:11:20,760 Speaker 1: according to some value investors right now. So our surgeon, 195 00:11:20,840 --> 00:11:24,920 Speaker 1: areas of healthcare, anything in those areas attract to you, Lisa, 196 00:11:26,280 --> 00:11:32,640 Speaker 1: absolutely so. Our our number one idea for is financials. Uh. 197 00:11:32,679 --> 00:11:35,160 Speaker 1: You know, we published our report this week, you know, 198 00:11:35,240 --> 00:11:38,360 Speaker 1: talking about the fact that, um, not only do we 199 00:11:38,480 --> 00:11:42,200 Speaker 1: think that the yield curve does steepen next year, which 200 00:11:42,320 --> 00:11:46,440 Speaker 1: will help with net interest income, but we do think 201 00:11:46,520 --> 00:11:50,200 Speaker 1: that the charge offs this cycle loan losses are going 202 00:11:50,240 --> 00:11:54,120 Speaker 1: to be significantly less than historical and therefore a lot 203 00:11:54,160 --> 00:11:57,839 Speaker 1: of the reserves that were taken by the banks will 204 00:11:57,880 --> 00:12:03,680 Speaker 1: be released back into currenting. Obviously. Uh, you know, we've 205 00:12:03,679 --> 00:12:06,800 Speaker 1: gotten a little bit of regulatory forbearance here and and 206 00:12:06,920 --> 00:12:09,360 Speaker 1: you know we saw that as he said, with the 207 00:12:09,400 --> 00:12:14,120 Speaker 1: FED allowing the resumption of of of share buy backs. 208 00:12:14,200 --> 00:12:17,960 Speaker 1: That's going to help the factor. And look, last, last, 209 00:12:17,960 --> 00:12:23,040 Speaker 1: but not least, is there are lasting behavioral changes that 210 00:12:23,040 --> 00:12:28,960 Speaker 1: that occurred during this pandemic that we believe create huge 211 00:12:29,720 --> 00:12:33,000 Speaker 1: profit opportunities and efficiencies for the bank. Well, Lisa, we 212 00:12:33,000 --> 00:12:36,160 Speaker 1: are going to have to get into those behavioral changes 213 00:12:36,320 --> 00:12:38,800 Speaker 1: another time, but we really really appreciated looking forward to 214 00:12:38,800 --> 00:12:42,320 Speaker 1: that particular conversation and happy holidays to you. Much appreciate. 215 00:12:42,360 --> 00:12:47,800 Speaker 1: That's Lisa Shallows of Morgan Standie Wealth Management. Let's bring 216 00:12:47,800 --> 00:12:50,679 Speaker 1: in something else now. David Garrity is with us, his 217 00:12:50,800 --> 00:12:53,680 Speaker 1: chief market strategists for laid Law and Company also partner 218 00:12:53,720 --> 00:12:57,719 Speaker 1: at bt Block, a cybersecurity and blockchain firm. And we've 219 00:12:57,760 --> 00:13:01,839 Speaker 1: got the laid Law five forecasts for one, so David 220 00:13:01,920 --> 00:13:06,480 Speaker 1: gets straight into it. What's your five forecast for next year? Yeah, 221 00:13:06,559 --> 00:13:09,880 Speaker 1: the five forecasts are starting off bunny, looking at the 222 00:13:09,880 --> 00:13:12,240 Speaker 1: fact that the market is still very much dependent upon 223 00:13:13,120 --> 00:13:15,960 Speaker 1: government fiscal stimulus, whether it's here in the US or 224 00:13:15,960 --> 00:13:19,880 Speaker 1: whether it's coming from overseas um. You know, from that standpoint, 225 00:13:20,000 --> 00:13:23,120 Speaker 1: we think that the markets will start the year off choppy, 226 00:13:23,160 --> 00:13:26,040 Speaker 1: with games going more towards the back half of the year. 227 00:13:26,679 --> 00:13:30,920 Speaker 1: Talking about markets, we have an objective for the S 228 00:13:30,960 --> 00:13:35,040 Speaker 1: and P five hundreds of four thousand for two thou one, 229 00:13:35,080 --> 00:13:39,840 Speaker 1: about eight percent upside, and we think that against this backdrop, 230 00:13:39,880 --> 00:13:42,520 Speaker 1: we're going to have interest rates rise on the ten 231 00:13:42,600 --> 00:13:45,320 Speaker 1: ure to about one and a half percent. Obviously, we 232 00:13:45,360 --> 00:13:48,200 Speaker 1: think inflation is gonna run hot, break evens going from 233 00:13:48,240 --> 00:13:52,000 Speaker 1: one to two point three. And then against that backdrop, 234 00:13:52,120 --> 00:13:55,080 Speaker 1: we're going to have the dollar weekend against foreign currencies 235 00:13:55,120 --> 00:13:59,839 Speaker 1: by ten, you know, off the strength of better economic 236 00:14:00,000 --> 00:14:03,640 Speaker 1: growth forecasts outside the US then the US. We're calling 237 00:14:03,679 --> 00:14:08,440 Speaker 1: for international stocks non US to appperform over the course 238 00:14:08,440 --> 00:14:11,359 Speaker 1: of one and we think that here within the US, 239 00:14:11,440 --> 00:14:15,679 Speaker 1: with an economic reopening value sectors are actually going to 240 00:14:15,920 --> 00:14:18,960 Speaker 1: perform tech in the year ahead, although tech will continue 241 00:14:19,000 --> 00:14:23,520 Speaker 1: to have growth from disrupting as it does. Yeah, fascinating. 242 00:14:23,520 --> 00:14:26,040 Speaker 1: So that's a really complex look at the markets. Is 243 00:14:26,080 --> 00:14:28,160 Speaker 1: that one forecast. I just want to make sure David 244 00:14:28,480 --> 00:14:32,520 Speaker 1: or all five. Um, that's all five sort of wrapped 245 00:14:32,560 --> 00:14:35,160 Speaker 1: into one statement. Well, talk to us that about the 246 00:14:36,680 --> 00:14:39,240 Speaker 1: and I'll get to that at the end. Talk to 247 00:14:39,280 --> 00:14:41,600 Speaker 1: us about the value plays. Because we were speaking earlier 248 00:14:41,640 --> 00:14:44,920 Speaker 1: to somebody who thought that financial stocks and some areas 249 00:14:44,920 --> 00:14:47,440 Speaker 1: of healthcare might be the places to look for free, 250 00:14:47,440 --> 00:14:50,840 Speaker 1: fresh value. Where are you seeing that? Yeah, and I 251 00:14:50,920 --> 00:14:53,680 Speaker 1: certainly would agree. Relative to financials and the fact that 252 00:14:54,240 --> 00:14:56,960 Speaker 1: you know, central banks are allowing the financials to go 253 00:14:57,160 --> 00:15:00,000 Speaker 1: engage in buy backs, namely the federal reserves, and now 254 00:15:00,000 --> 00:15:01,880 Speaker 1: it's been in the impact that will have in the 255 00:15:01,960 --> 00:15:04,280 Speaker 1: lights of the JP Morgan as well as Goldman, Sacks 256 00:15:04,280 --> 00:15:07,800 Speaker 1: and others certainly favors the financials. Clearly, it's the steepening 257 00:15:07,880 --> 00:15:10,440 Speaker 1: yield curve which is a thing that really will serve 258 00:15:10,440 --> 00:15:13,240 Speaker 1: to drive the financials. We think also at the same 259 00:15:13,240 --> 00:15:17,440 Speaker 1: time that a recovering oil price going from forty dollars 260 00:15:17,480 --> 00:15:20,320 Speaker 1: a barrel now backed up towards sixty over the course 261 00:15:20,360 --> 00:15:23,680 Speaker 1: of one will certainly prove to support what has been 262 00:15:23,760 --> 00:15:26,320 Speaker 1: one of the weakest sectors this year, which has been energy. 263 00:15:26,640 --> 00:15:30,480 Speaker 1: You know, down about or so in under formed the 264 00:15:30,560 --> 00:15:34,280 Speaker 1: s and p f UM. You know, so we think 265 00:15:34,280 --> 00:15:36,600 Speaker 1: that energy really is going to be probably the leading 266 00:15:36,600 --> 00:15:39,760 Speaker 1: recovery trade. But along with that, we'd also would throw 267 00:15:39,800 --> 00:15:42,920 Speaker 1: in with the financials with energy also looking at industrial 268 00:15:42,960 --> 00:15:46,840 Speaker 1: stocks industrials. Interesting, what area of industrialism would that be 269 00:15:47,160 --> 00:15:51,120 Speaker 1: dedicated on some kind of an infrastructure package. It may 270 00:15:51,200 --> 00:15:53,720 Speaker 1: be very much driven by an infrastructure package. Certainly have 271 00:15:53,840 --> 00:15:56,560 Speaker 1: seen positive performance coming out of the likes of Caterpillar 272 00:15:57,040 --> 00:16:00,200 Speaker 1: UM so far here in the fourth quarter of We 273 00:16:00,240 --> 00:16:03,840 Speaker 1: think that there's further upside relative to that. We certainly 274 00:16:03,840 --> 00:16:07,440 Speaker 1: think that you know, the ground is that uh in 275 00:16:07,520 --> 00:16:10,760 Speaker 1: the US to see a good infrastructure program being put 276 00:16:10,760 --> 00:16:14,200 Speaker 1: in place. Hopefully Congress cooperates, but that's what's going to 277 00:16:14,280 --> 00:16:17,160 Speaker 1: give people, we think in the markets preps someone on 278 00:16:17,280 --> 00:16:20,480 Speaker 1: hold until we get a better idea as to whether 279 00:16:20,480 --> 00:16:24,480 Speaker 1: we're really going to become bipartisan in one and not 280 00:16:24,560 --> 00:16:28,600 Speaker 1: necessarily as partisan as we've been. David, I want to 281 00:16:28,640 --> 00:16:32,280 Speaker 1: ask you a little bit about cybersecurity as well. Bt 282 00:16:32,440 --> 00:16:35,240 Speaker 1: block is a place where your partner and it's a 283 00:16:35,240 --> 00:16:38,840 Speaker 1: cybersecurity intelligence and a blockchain firm. I'm not sure how 284 00:16:38,840 --> 00:16:41,920 Speaker 1: related the two are, but certainly we've had this massive, 285 00:16:42,040 --> 00:16:46,120 Speaker 1: massive cybersecurity breach. It's very very serious and it goes 286 00:16:46,160 --> 00:16:49,160 Speaker 1: back as far as six months maybe more, to places 287 00:16:49,200 --> 00:16:52,080 Speaker 1: like Treasury and other agencies. How do you see this 288 00:16:52,160 --> 00:16:55,880 Speaker 1: playing out or are we in endanger that right now 289 00:16:56,040 --> 00:17:00,360 Speaker 1: without even realizing it, into the extent of foll have 290 00:17:00,480 --> 00:17:03,360 Speaker 1: gone more and more online over the course of has 291 00:17:03,440 --> 00:17:06,480 Speaker 1: worked from home became the new normal and is likely 292 00:17:06,520 --> 00:17:10,480 Speaker 1: to extend into uh, you know, the fact that people 293 00:17:10,520 --> 00:17:16,040 Speaker 1: having information observed or leaked certainly grows. And from the standpoint, 294 00:17:16,160 --> 00:17:18,679 Speaker 1: what we've been doing within DT block have been you know, 295 00:17:18,760 --> 00:17:22,760 Speaker 1: developing improved ways of managing passwords. One of the things 296 00:17:22,760 --> 00:17:26,480 Speaker 1: that was the major weakness within Solar Winds was that 297 00:17:26,640 --> 00:17:32,359 Speaker 1: they really hadn't practiced anything near decent password management discipline, 298 00:17:32,600 --> 00:17:36,359 Speaker 1: and that's what created the the open window, if you will, 299 00:17:36,520 --> 00:17:39,280 Speaker 1: that others were we're able to come in from, especially 300 00:17:39,320 --> 00:17:43,040 Speaker 1: from Russia, will be able to find a fix or 301 00:17:43,080 --> 00:17:45,399 Speaker 1: a patch or whatever you do find for this. I mean, 302 00:17:45,440 --> 00:17:48,200 Speaker 1: it sounds like it's gone so viral that we're talking 303 00:17:48,200 --> 00:17:51,840 Speaker 1: about you know, x number of Fortune copies, X number 304 00:17:51,840 --> 00:17:55,520 Speaker 1: of US agencies and governmental departments and so on, how 305 00:17:55,560 --> 00:17:58,440 Speaker 1: do you patch that up? Yeah, I mean the issue 306 00:17:58,480 --> 00:18:01,200 Speaker 1: that you had with solar winds, the hack was that 307 00:18:01,240 --> 00:18:05,120 Speaker 1: there was essentially code that was put into software updates 308 00:18:05,119 --> 00:18:07,480 Speaker 1: if they were sending out to all their installed clients, 309 00:18:07,520 --> 00:18:11,200 Speaker 1: both government agencies as well as also private sector entities, 310 00:18:11,600 --> 00:18:15,399 Speaker 1: and you know, that's how the backdoor basically got populated 311 00:18:15,440 --> 00:18:18,159 Speaker 1: across the user base. Now, the problem you're going to 312 00:18:18,200 --> 00:18:20,159 Speaker 1: have here and trying to remedy this problem is that 313 00:18:20,359 --> 00:18:23,280 Speaker 1: the backdoor that was put in wasn't necessarily the only one. 314 00:18:23,880 --> 00:18:27,359 Speaker 1: Um you know, there are also other additional means of 315 00:18:27,440 --> 00:18:30,440 Speaker 1: establishing backdoors in the various systems that have been populated 316 00:18:30,440 --> 00:18:32,680 Speaker 1: as a result of this act. So trying to find 317 00:18:32,720 --> 00:18:35,600 Speaker 1: a way to actually go through and clean it up 318 00:18:35,880 --> 00:18:40,320 Speaker 1: is going to take some extended period of time. Relative 319 00:18:40,320 --> 00:18:43,560 Speaker 1: to government policy, you know, there clearly is an opportunity 320 00:18:43,640 --> 00:18:47,080 Speaker 1: and in need here on the policy front to basically 321 00:18:47,160 --> 00:18:51,159 Speaker 1: become or unified as regards cybersecurity how it's practiced, not 322 00:18:51,280 --> 00:18:55,480 Speaker 1: just within the government but across the US as a whole. David, 323 00:18:55,520 --> 00:18:57,720 Speaker 1: if there are some stocks in that area that you 324 00:18:57,720 --> 00:19:00,760 Speaker 1: would recommend, would be very grateful not just to cybersecurity, 325 00:19:00,760 --> 00:19:04,920 Speaker 1: but also blockchain. Um. You know, in terms of looking 326 00:19:04,920 --> 00:19:07,679 Speaker 1: at blockchain, there have been a number of vehicles we 327 00:19:07,720 --> 00:19:09,920 Speaker 1: think that you know, our Investment Management has had a 328 00:19:09,960 --> 00:19:13,320 Speaker 1: blockchain ETF that's out there that's very good in terms 329 00:19:13,359 --> 00:19:16,760 Speaker 1: of highlighting some of the stronger names. Our Investment Management 330 00:19:16,840 --> 00:19:20,959 Speaker 1: through their disruption UH or innovation ETF you know, had 331 00:19:21,000 --> 00:19:23,680 Speaker 1: a bannery year of a hundred and fifty two m. 332 00:19:24,000 --> 00:19:26,320 Speaker 1: Granted it might have been more due to Tesla in 333 00:19:26,440 --> 00:19:29,680 Speaker 1: terms of their vehicles, but you know, I think over 334 00:19:29,680 --> 00:19:32,280 Speaker 1: the course of emerging there will be more names that 335 00:19:32,320 --> 00:19:34,360 Speaker 1: will be looking at and be happy to highlight at 336 00:19:34,359 --> 00:19:38,040 Speaker 1: that time. Great well, David, thanks so much for joining 337 00:19:38,119 --> 00:19:40,640 Speaker 1: us today, and have a wonderful rest of your year. 338 00:19:41,040 --> 00:19:44,160 Speaker 1: David Garity is chief market strologist at laid Law and Company, 339 00:19:44,440 --> 00:19:48,920 Speaker 1: also partner at bat Block of Cybersecurity, Intelligence and blockchain firm. 340 00:19:49,080 --> 00:19:51,040 Speaker 1: On there to talk about is laid Law five. Those 341 00:19:51,040 --> 00:19:57,440 Speaker 1: forecasts for one hospitals are deluged in the United States 342 00:19:57,480 --> 00:20:00,600 Speaker 1: and places such as California. I see you capacity is 343 00:20:00,600 --> 00:20:02,800 Speaker 1: down to less than two and a half percent right now, 344 00:20:02,840 --> 00:20:07,160 Speaker 1: and of course fatalities are climbing. Let's bring in some Fazali, 345 00:20:07,240 --> 00:20:09,439 Speaker 1: Senior farm analyst and head of e m A Research 346 00:20:09,480 --> 00:20:12,399 Speaker 1: at Bloomberg Intelligence. To talk about this obviously, as well 347 00:20:12,440 --> 00:20:15,639 Speaker 1: as the vaccines and this variant that we're seeing in 348 00:20:15,680 --> 00:20:18,199 Speaker 1: the United Kingdom that may already be in Germany and 349 00:20:18,240 --> 00:20:21,520 Speaker 1: France some how important is a distress that this is 350 00:20:21,560 --> 00:20:26,280 Speaker 1: a variant and not a new strain. Oh, hi, Vannie, 351 00:20:26,400 --> 00:20:31,359 Speaker 1: So I mean, look, it's it's nomenclature, scientific nomenclature. I 352 00:20:31,400 --> 00:20:34,480 Speaker 1: mean a strain Star two is a new strain of 353 00:20:34,520 --> 00:20:39,000 Speaker 1: the coronavirus versus Stars kobe us. So it's just it's 354 00:20:39,040 --> 00:20:41,680 Speaker 1: just to be to be pedantic. It's the right it's 355 00:20:41,720 --> 00:20:43,840 Speaker 1: the right way to put it. This is a variant 356 00:20:43,840 --> 00:20:47,800 Speaker 1: because it's the same family. Still, does it mean that 357 00:20:48,000 --> 00:20:51,240 Speaker 1: the current vaccines will also work against it? Or do 358 00:20:51,280 --> 00:20:54,639 Speaker 1: we know that yet? So we don't know for sure. 359 00:20:55,440 --> 00:20:59,320 Speaker 1: There are lots of reasons to remain optimistic the vaccines 360 00:20:59,560 --> 00:21:03,520 Speaker 1: will be Apparently, at least the fires A BioNTech one. 361 00:21:04,760 --> 00:21:08,040 Speaker 1: The immune response they've seen to it does not seem 362 00:21:08,080 --> 00:21:12,639 Speaker 1: to correlate with the areas where the mutations are, but 363 00:21:12,880 --> 00:21:17,240 Speaker 1: mutations can also change the shape of this. The confirmation, 364 00:21:17,359 --> 00:21:20,000 Speaker 1: if you like, of the spike protein which is being 365 00:21:20,040 --> 00:21:24,200 Speaker 1: targeted by the vaccines, so it might diminish the efficacy, 366 00:21:24,359 --> 00:21:29,240 Speaker 1: but luckily we're starting at efficacy, so it's going to 367 00:21:29,280 --> 00:21:33,080 Speaker 1: be quite good to see what that might be. Even 368 00:21:33,080 --> 00:21:37,520 Speaker 1: if it's is still a pretty pretty serious help in 369 00:21:37,720 --> 00:21:41,359 Speaker 1: managing the pandemic. Now, this particular variant, we know that 370 00:21:41,400 --> 00:21:44,160 Speaker 1: it's more contagious. Do we know how people are reacting 371 00:21:44,200 --> 00:21:46,760 Speaker 1: when they get it? Is it the same type of reactions? 372 00:21:46,800 --> 00:21:50,080 Speaker 1: Are they as sick? You know, our ventilator is something 373 00:21:50,080 --> 00:21:54,080 Speaker 1: that did come up. It's too early to tell, you know, 374 00:21:54,160 --> 00:21:57,560 Speaker 1: the the the the only way we know is in 375 00:21:57,600 --> 00:22:01,680 Speaker 1: a few weeks time as hospitalizations mortality data come through 376 00:22:02,320 --> 00:22:05,760 Speaker 1: and then you can see what what what variant of 377 00:22:05,800 --> 00:22:09,720 Speaker 1: the virus was was causing those issues. You need the 378 00:22:09,800 --> 00:22:12,280 Speaker 1: data to be able to tell, and just by looking 379 00:22:12,320 --> 00:22:14,600 Speaker 1: at the numbers it's impossible to be able to tell because, 380 00:22:14,720 --> 00:22:17,600 Speaker 1: as you rightly said, if the ice use are jam packed, 381 00:22:18,160 --> 00:22:20,919 Speaker 1: then people's mortality is likely to go up because they 382 00:22:20,920 --> 00:22:23,520 Speaker 1: can't deal with them better. So that's that's Those are 383 00:22:23,640 --> 00:22:26,679 Speaker 1: key elements that that some serious science needs to be 384 00:22:26,720 --> 00:22:29,439 Speaker 1: done to figure it out. The measure is being taken, 385 00:22:29,560 --> 00:22:34,480 Speaker 1: so lockdown and various countries restricting travel into their countries 386 00:22:34,520 --> 00:22:37,199 Speaker 1: from the United Kingdom for various amounts of time, and 387 00:22:37,520 --> 00:22:40,600 Speaker 1: those may get extended. Is that the right thing to do? 388 00:22:42,640 --> 00:22:47,040 Speaker 1: They It's possible that it's that it's a bit late 389 00:22:47,400 --> 00:22:51,760 Speaker 1: in terms of shutting the stable doors after the horse 390 00:22:51,800 --> 00:22:55,399 Speaker 1: has already bolted, And it's possible that they already that 391 00:22:55,520 --> 00:22:59,520 Speaker 1: they that the virus has evolved the same mutations in 392 00:22:59,720 --> 00:23:02,280 Speaker 1: you know, we've seniored already in South Africa, very similar 393 00:23:02,359 --> 00:23:06,040 Speaker 1: mutation is not identical, but to very similar mutations in 394 00:23:06,080 --> 00:23:09,560 Speaker 1: other countries. And I would be amazed if it's not 395 00:23:09,640 --> 00:23:13,680 Speaker 1: already in the United States. So that's the key thing here. 396 00:23:14,200 --> 00:23:16,640 Speaker 1: I'm going to repeat that Sam Fazali, who is head 397 00:23:16,680 --> 00:23:20,400 Speaker 1: of our pharma analytics and really has been on top 398 00:23:20,440 --> 00:23:24,080 Speaker 1: of everything coronavirus related, understands it all, says that he 399 00:23:24,119 --> 00:23:26,399 Speaker 1: would be amazed if this new variant is not already 400 00:23:26,400 --> 00:23:30,119 Speaker 1: in the United States, a variant that is more contagious some. 401 00:23:30,760 --> 00:23:36,119 Speaker 1: The longer that this you know, COVID nineteen plus its 402 00:23:36,200 --> 00:23:39,200 Speaker 1: variants get to linger in a country and in the world, 403 00:23:39,800 --> 00:23:43,439 Speaker 1: the more mutations will have. Right, How isn't it getting 404 00:23:43,480 --> 00:23:47,240 Speaker 1: more and more serious and more and more urgent that 405 00:23:47,440 --> 00:23:51,040 Speaker 1: you know, we impose draconian measures to try and stop 406 00:23:51,080 --> 00:23:54,240 Speaker 1: this thing. Well, I kind of wrote that back in 407 00:23:54,680 --> 00:23:57,200 Speaker 1: if you remember Vannie back here a couple of months ago, 408 00:23:57,240 --> 00:24:01,520 Speaker 1: as the US cases were starting to rise. The issue 409 00:24:01,600 --> 00:24:03,600 Speaker 1: is that the more the virus, as you rightly say, 410 00:24:03,680 --> 00:24:06,120 Speaker 1: the more the virus mutass, the more people have got 411 00:24:06,119 --> 00:24:09,720 Speaker 1: this virus, the more opportunity gets to me to sorry, 412 00:24:10,520 --> 00:24:14,639 Speaker 1: the more opportunity gets to mutate, and that obviously eventually 413 00:24:14,640 --> 00:24:18,720 Speaker 1: it finds ways around our immune system. So the key 414 00:24:18,760 --> 00:24:20,800 Speaker 1: thing is to really try and bring it down to 415 00:24:21,000 --> 00:24:23,399 Speaker 1: levels that a lot of Europe. You know, in France, 416 00:24:23,440 --> 00:24:25,119 Speaker 1: if you look at the case numbers, they've managed to 417 00:24:25,119 --> 00:24:28,679 Speaker 1: bring it down quite meaningfully, although they've just relaxed a 418 00:24:28,680 --> 00:24:30,960 Speaker 1: little bit their rules. And I'm worried that cases will 419 00:24:31,000 --> 00:24:34,880 Speaker 1: start rising again. So that that's the element. And Drew 420 00:24:34,920 --> 00:24:37,159 Speaker 1: Conian or not, I mean, you've seen the effect you 421 00:24:37,240 --> 00:24:40,040 Speaker 1: can have on a country if they don't if they 422 00:24:40,040 --> 00:24:42,320 Speaker 1: don't make the right decisions. But what's going on in 423 00:24:42,359 --> 00:24:47,760 Speaker 1: the UK. Yeah, so some we are seeing vaccines rollout today. 424 00:24:47,880 --> 00:24:51,560 Speaker 1: Fauci and friends got the MODERNA vaccine. We had already 425 00:24:51,600 --> 00:24:55,800 Speaker 1: seen other officials get the Visor vaccine. I guess you know, 426 00:24:56,320 --> 00:24:58,840 Speaker 1: when we eventually are able to get a vaccine, doesn't 427 00:24:58,840 --> 00:25:03,960 Speaker 1: matter which one we receive. Oh, they are very lucky people, actually, 428 00:25:04,040 --> 00:25:06,120 Speaker 1: I mean I don't care which one I get. If 429 00:25:06,119 --> 00:25:09,160 Speaker 1: if whatever one's available between Maderna and finds my on take, 430 00:25:09,160 --> 00:25:12,800 Speaker 1: I would happily take it. It's um, they're pretty similar. 431 00:25:12,920 --> 00:25:15,359 Speaker 1: One's got maybe a little bit less a little a 432 00:25:15,359 --> 00:25:18,560 Speaker 1: little bit more troublesome than the other, but frankly it's 433 00:25:18,640 --> 00:25:21,480 Speaker 1: neither here nor there. So I'm just jealous of them 434 00:25:21,520 --> 00:25:24,520 Speaker 1: getting it. So do you have any concerns at all 435 00:25:24,560 --> 00:25:26,520 Speaker 1: about the idea that there may have been extra doses 436 00:25:26,600 --> 00:25:30,840 Speaker 1: that Fiser wasn't willing to sort of allow. It was 437 00:25:30,880 --> 00:25:33,359 Speaker 1: putting a little extra into vials just to allow for 438 00:25:33,640 --> 00:25:35,800 Speaker 1: you know, maybe a little bit of spillage or what 439 00:25:35,840 --> 00:25:38,720 Speaker 1: have you. But hospitals are now seeing that, you know, 440 00:25:38,920 --> 00:25:40,920 Speaker 1: they can be made into extra doses and maybe even 441 00:25:40,920 --> 00:25:42,920 Speaker 1: a dozen and a half. Does that concern you at all? 442 00:25:43,000 --> 00:25:50,040 Speaker 1: Should these administrators be confined to just five doses per vile? No, 443 00:25:50,280 --> 00:25:52,840 Speaker 1: it doesn't. It doesn't concern me at all. I mean, 444 00:25:53,359 --> 00:25:56,040 Speaker 1: you know this, you're activating the immune system here. Even 445 00:25:56,040 --> 00:25:58,720 Speaker 1: if you get twenty five micrograms or thirty five micrograms, 446 00:25:58,800 --> 00:26:01,879 Speaker 1: and please, I am hyph pothesizing here, right, it probably 447 00:26:01,880 --> 00:26:05,159 Speaker 1: doesn't make that much difference um in terms of the 448 00:26:05,240 --> 00:26:09,760 Speaker 1: kind of immune reaction that it causes. So the important 449 00:26:09,760 --> 00:26:11,840 Speaker 1: thing is that, you know, the more doses we have, 450 00:26:11,880 --> 00:26:15,280 Speaker 1: the better. I am, however, not a fan of what 451 00:26:15,440 --> 00:26:17,919 Speaker 1: a lot of people seem to be talking about, which is, 452 00:26:18,480 --> 00:26:20,840 Speaker 1: let's just do one does because it showed some efficacy 453 00:26:20,840 --> 00:26:23,200 Speaker 1: after one does, and then we can extend this out. 454 00:26:23,440 --> 00:26:25,840 Speaker 1: We have no idea what it does after one dose. 455 00:26:26,280 --> 00:26:29,880 Speaker 1: It was just part of a trial where the endpoint 456 00:26:29,920 --> 00:26:32,480 Speaker 1: of the trial was a two dose trial. You can't 457 00:26:32,520 --> 00:26:36,160 Speaker 1: make these decisions based on what anecdotal evidence one trial 458 00:26:36,240 --> 00:26:39,280 Speaker 1: shows you what So that that that's a big concern 459 00:26:39,320 --> 00:26:42,240 Speaker 1: for me. These interviews are always full of public health announcements, 460 00:26:42,240 --> 00:26:44,080 Speaker 1: and there is another one. Don't just take one does 461 00:26:44,160 --> 00:26:46,280 Speaker 1: if you're lucky enough to be in the system, go 462 00:26:46,359 --> 00:26:48,359 Speaker 1: back for your second dos because you don't know what 463 00:26:48,359 --> 00:26:49,879 Speaker 1: you're in for if you just take the one. But 464 00:26:49,960 --> 00:26:52,240 Speaker 1: you do know how lucky you are if you happen 465 00:26:52,280 --> 00:26:54,440 Speaker 1: to get to some how long will it be before 466 00:26:54,480 --> 00:26:56,480 Speaker 1: we know if there are any adverse effects and the 467 00:26:56,520 --> 00:27:00,600 Speaker 1: population in general that are vaccinated. We so I just 468 00:27:00,720 --> 00:27:05,800 Speaker 1: put a update ut today on our BI platform looking 469 00:27:05,840 --> 00:27:08,679 Speaker 1: at the data that we've seen already. If the numbers 470 00:27:08,680 --> 00:27:12,840 Speaker 1: are right, CDC has reported six allergic reactions by Friday night, 471 00:27:12,920 --> 00:27:15,520 Speaker 1: and I estimate about five hundred thousand people have been 472 00:27:15,600 --> 00:27:18,480 Speaker 1: vaccinated in the US. So that's a case rate of 473 00:27:18,600 --> 00:27:21,240 Speaker 1: not point not not one to percent. I mean, it's 474 00:27:21,520 --> 00:27:24,600 Speaker 1: let's put it this way, it's a very small percentage 475 00:27:24,600 --> 00:27:27,560 Speaker 1: of people. Of course, if one person getting a side 476 00:27:27,560 --> 00:27:29,600 Speaker 1: effect is not a good thing. But this seems to 477 00:27:29,640 --> 00:27:33,800 Speaker 1: be manageable. And we'll have to wait till January February 478 00:27:33,800 --> 00:27:36,280 Speaker 1: to hear about Bell's palsy because that takes a little 479 00:27:36,280 --> 00:27:39,920 Speaker 1: while longer at least in the trials to surface. So 480 00:27:40,040 --> 00:27:43,920 Speaker 1: let's see how that shows up. Some thank you so much, 481 00:27:44,160 --> 00:27:46,240 Speaker 1: and thank you for all of your hard work all 482 00:27:46,359 --> 00:27:49,239 Speaker 1: year keeping an eye and everything coronavirus related for us 483 00:27:49,280 --> 00:27:52,080 Speaker 1: being much much appreciated. That is some for sale who 484 00:27:52,080 --> 00:27:54,120 Speaker 1: has head of E M. E. A Research as Bloomberg 485 00:27:54,200 --> 00:27:59,480 Speaker 1: Intelligence but also senior pharmer analyst. Thanks for listening to 486 00:27:59,480 --> 00:28:03,320 Speaker 1: Bloomberg Markets podcast. You can subscribe and listen to interviews 487 00:28:03,320 --> 00:28:06,679 Speaker 1: at Apple Podcasts or whatever a podcast platform you prefer. 488 00:28:06,920 --> 00:28:09,879 Speaker 1: I'm Bonnie Quinn, I'm on Twitter at Bonnie Quinn. And 489 00:28:09,920 --> 00:28:12,560 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. Before 490 00:28:12,560 --> 00:28:15,440 Speaker 1: the podcast, you can always catch us worldwide at Bloomberg 491 00:28:15,480 --> 00:28:15,720 Speaker 1: Radio