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 CEO, 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 --> 00:00:20,880 Speaker 1: and on Bloomberg dot com. What's been quite the two 7 00:00:20,920 --> 00:00:24,040 Speaker 1: days for Tesla. It had its worst one day loss 8 00:00:24,160 --> 00:00:28,920 Speaker 1: ever yesterday just on the SMP five hundred snubs, so 9 00:00:28,960 --> 00:00:32,320 Speaker 1: it's not in the SMP five Also GM backing Nicolo, 10 00:00:32,360 --> 00:00:34,720 Speaker 1: which is a little bit of a rival in some senses. 11 00:00:35,120 --> 00:00:37,920 Speaker 1: Our next guests say, is that, you know, maybe that 12 00:00:38,840 --> 00:00:45,280 Speaker 1: down draft was not completely unexpected, nor was it, you know, unreasonable. 13 00:00:45,479 --> 00:00:48,240 Speaker 1: We are up eight percent today, but let's bring in 14 00:00:48,479 --> 00:00:50,960 Speaker 1: our next guest now to tell us exactly why he 15 00:00:51,040 --> 00:00:54,800 Speaker 1: believes that Tesla may have some room to go below 16 00:00:54,800 --> 00:00:56,760 Speaker 1: where it is right now. Gordon Johnson is CEO and 17 00:00:56,760 --> 00:01:00,320 Speaker 1: founder of g LJ Research. So, Gordon, yesterday you know 18 00:01:00,800 --> 00:01:02,920 Speaker 1: we were blaming sort of the lack of inclusion in 19 00:01:02,920 --> 00:01:05,039 Speaker 1: the s and P five hundred for the sell off. 20 00:01:05,120 --> 00:01:07,600 Speaker 1: There was also the Nastack sell off. More generally, would 21 00:01:07,640 --> 00:01:12,080 Speaker 1: you say Tesla deserves to be valued much lower than 22 00:01:12,120 --> 00:01:14,440 Speaker 1: it is right now? And there are several reasons behind that. 23 00:01:14,760 --> 00:01:17,640 Speaker 1: Take us through some of them. Right, So we have 24 00:01:17,720 --> 00:01:21,080 Speaker 1: a nineteen dollar price target on Tesla more than downside. 25 00:01:21,080 --> 00:01:24,039 Speaker 1: That's the one year and price started right Tesla's around, 26 00:01:24,440 --> 00:01:26,320 Speaker 1: you know, just under four hundred dollars. Keep in mind, 27 00:01:26,319 --> 00:01:29,440 Speaker 1: till right stock went from two hundred to five first 28 00:01:29,440 --> 00:01:32,240 Speaker 1: solar stock went a while ago from two hundred to twelve, 29 00:01:32,280 --> 00:01:34,560 Speaker 1: so you can see moves like this. Listen, Tesla is 30 00:01:34,600 --> 00:01:38,280 Speaker 1: a busted growth story. UM. Their US revenues peaked in 31 00:01:38,319 --> 00:01:42,360 Speaker 1: the fourth quarter of eighteen, their global revenues peaked essentially 32 00:01:42,360 --> 00:01:46,080 Speaker 1: in the fourth quarter of eighteen. Um they're global, I'm sorry, 33 00:01:46,080 --> 00:01:48,559 Speaker 1: they're auto. Growth margins peaked in the third quarter of eighteen. 34 00:01:48,760 --> 00:01:51,920 Speaker 1: And listen, even if Tesla hit their guidance for five 35 00:01:52,200 --> 00:01:55,560 Speaker 1: five hundred thousand cars delivered this year, that's only sixty 36 00:01:56,760 --> 00:02:00,640 Speaker 1: of their capacity. They're expected capacity exiting this year before 37 00:02:00,680 --> 00:02:04,320 Speaker 1: they build two more plans in Germany and the United States. 38 00:02:04,320 --> 00:02:09,359 Speaker 1: So they're only selling of their existing capacity. Uh, that's 39 00:02:09,360 --> 00:02:12,480 Speaker 1: a very negative dynamic. It's just no one talks about. 40 00:02:12,880 --> 00:02:15,600 Speaker 1: So we think that Tesla. I'm sorry, go ahead, Well, 41 00:02:15,639 --> 00:02:18,000 Speaker 1: I was just going to point out that till Ray, 42 00:02:18,160 --> 00:02:21,240 Speaker 1: which he referenced as a cannabis company, they make medicines 43 00:02:21,280 --> 00:02:22,880 Speaker 1: and drugs and drops and so on, and for a 44 00:02:23,000 --> 00:02:26,760 Speaker 1: solar is obviously a solar module company. Very different stories though, 45 00:02:27,000 --> 00:02:30,040 Speaker 1: albeit you know that the same type of company in 46 00:02:30,160 --> 00:02:32,480 Speaker 1: terms of what people invest in. I suppose if if 47 00:02:32,480 --> 00:02:34,440 Speaker 1: you want to talk about growth companies, but but so 48 00:02:34,680 --> 00:02:37,600 Speaker 1: is Amazon, and you know you wouldn't fold Amazon for 49 00:02:37,600 --> 00:02:40,640 Speaker 1: having a capacity greater than what it's delivering upon, So 50 00:02:40,760 --> 00:02:45,720 Speaker 1: wife all Tesla. Right, So Amazon is a very different company, right, 51 00:02:45,760 --> 00:02:48,160 Speaker 1: people who often make that comparison, but we think Tesla 52 00:02:48,280 --> 00:02:50,840 Speaker 1: is more like a O L or BlackBerry. Right. They're 53 00:02:50,880 --> 00:02:54,160 Speaker 1: the first stout with evs and now everybody's coming with competition. 54 00:02:54,639 --> 00:02:57,760 Speaker 1: Um So, I think there's big misconceptions out there. Tesla 55 00:02:57,840 --> 00:02:59,760 Speaker 1: does not make their own batteries. I think a lot 56 00:02:59,800 --> 00:03:02,880 Speaker 1: of your listeners think they do. They buy batteries from Panasonic, 57 00:03:03,200 --> 00:03:06,120 Speaker 1: C A, T L and LG Kim. LG Kim just 58 00:03:06,160 --> 00:03:08,480 Speaker 1: signed a deal with GM. Anybody can buy those batteries 59 00:03:08,480 --> 00:03:11,320 Speaker 1: that Tesla buys Panasonic. Anybody can buy the batteries that 60 00:03:11,400 --> 00:03:13,760 Speaker 1: Tesla buys, and the same with with C A t 61 00:03:13,919 --> 00:03:16,320 Speaker 1: L and T A p L has a million mile battery. Listen, 62 00:03:16,320 --> 00:03:19,640 Speaker 1: people talk about, you know, evs being disruptive, electric vehicles 63 00:03:19,639 --> 00:03:23,040 Speaker 1: being disruptive. Here's the reality. In the United States twenty 64 00:03:23,080 --> 00:03:26,680 Speaker 1: eleven and nine uh total evs, not just Tesla's. Here, 65 00:03:26,760 --> 00:03:30,880 Speaker 1: Tesla total electric vehicles have went from point three percent 66 00:03:31,040 --> 00:03:35,080 Speaker 1: of the market to one point four percent, right, you know, 67 00:03:35,280 --> 00:03:39,400 Speaker 1: that's not disruption. And globally e vs twenty nineteen have 68 00:03:39,480 --> 00:03:41,680 Speaker 1: went from point three percent of the market to one 69 00:03:41,680 --> 00:03:44,760 Speaker 1: point seven percent one point seven percent. So both in 70 00:03:44,800 --> 00:03:47,640 Speaker 1: the in the world and the US, despite billions of 71 00:03:47,680 --> 00:03:51,040 Speaker 1: dollars of government and centims you know, basically handed out 72 00:03:51,040 --> 00:03:53,160 Speaker 1: to people buying vise, people just don't want to buy them, 73 00:03:53,160 --> 00:03:57,040 Speaker 1: so they're not disruptive. And with respect to Tesla, listen, 74 00:03:57,080 --> 00:03:59,520 Speaker 1: Tesla is not a technology leader. Right. People talk about 75 00:03:59,520 --> 00:04:01,840 Speaker 1: full self drive. They have this thing called full self drive. 76 00:04:02,040 --> 00:04:03,960 Speaker 1: If they sell for eight thousand dollars a pop. We 77 00:04:03,960 --> 00:04:06,720 Speaker 1: think it's vapor ware. We think it doesn't exist. Consumer 78 00:04:06,760 --> 00:04:08,640 Speaker 1: Reports just did a review of it. It was a 79 00:04:08,680 --> 00:04:11,680 Speaker 1: scathingly negative review, and Elon Musk is on record in 80 00:04:11,720 --> 00:04:15,839 Speaker 1: teams and consumer report reports. Is always um always fair, 81 00:04:15,880 --> 00:04:17,760 Speaker 1: they said, it's not when it's cracked up to being 82 00:04:17,760 --> 00:04:20,400 Speaker 1: it's dangerous for the driver and other people on the road. 83 00:04:20,640 --> 00:04:23,960 Speaker 1: And Navigant ranks Tesla dead last and full self drive. 84 00:04:24,240 --> 00:04:25,760 Speaker 1: My point is, I think that a lot of your 85 00:04:25,800 --> 00:04:28,039 Speaker 1: listeners will probably think their ranked first, given where the 86 00:04:28,040 --> 00:04:30,240 Speaker 1: stock price did and how people say they're a tech 87 00:04:30,320 --> 00:04:32,960 Speaker 1: leader and disruptive. But the reality is just so much 88 00:04:33,000 --> 00:04:36,320 Speaker 1: different um than um. You know what people think and 89 00:04:36,320 --> 00:04:38,440 Speaker 1: we think. As numbers come out, you know things are 90 00:04:38,440 --> 00:04:40,880 Speaker 1: gonna look bad. One other thing, if you take away 91 00:04:40,920 --> 00:04:44,159 Speaker 1: the one time credit revenues, right, Tesla basically gets taxpayer 92 00:04:44,160 --> 00:04:47,760 Speaker 1: and sentiff to sell credits to other automakers who previously 93 00:04:47,800 --> 00:04:51,440 Speaker 1: weren't selling, weren't making evs. Now every automaker's a making evy. 94 00:04:51,480 --> 00:04:53,880 Speaker 1: But if you take away those one time credit sells 95 00:04:53,920 --> 00:04:56,080 Speaker 1: over the past twenty four quarters and only four of 96 00:04:56,080 --> 00:04:59,279 Speaker 1: those quarters has has has Tesla been profitable? The most 97 00:04:59,279 --> 00:05:02,160 Speaker 1: recent which was Reach You nine three Q three Q nineteen. 98 00:05:02,480 --> 00:05:05,159 Speaker 1: The point is, um even in two cute this most 99 00:05:05,200 --> 00:05:08,320 Speaker 1: recent quarter, taking away those one time sales, they lost 100 00:05:08,360 --> 00:05:10,520 Speaker 1: three hundred million on the night income line. This company 101 00:05:10,600 --> 00:05:14,520 Speaker 1: is a perpetual loss making company excluding those excluding those 102 00:05:14,520 --> 00:05:17,560 Speaker 1: credit cells. And those credit cells they're guiding down in 103 00:05:17,600 --> 00:05:19,920 Speaker 1: the back half and they're gonna basically go away next year. 104 00:05:20,279 --> 00:05:22,720 Speaker 1: So it sounds like you have secular arguments based on 105 00:05:23,000 --> 00:05:26,240 Speaker 1: you know, people's preferences free easse and do you have 106 00:05:26,279 --> 00:05:29,840 Speaker 1: sort of individual problems with Tesla itself? Almost out of time, 107 00:05:29,839 --> 00:05:31,240 Speaker 1: but I do want to ask you what you think 108 00:05:31,279 --> 00:05:33,560 Speaker 1: of Nicola. Do you think Nikola is also you know, 109 00:05:33,760 --> 00:05:37,280 Speaker 1: smoking mirrors as you seem to think Tessa is. Well, 110 00:05:37,320 --> 00:05:39,000 Speaker 1: one other thing I want to highlight on Tessa. Right, 111 00:05:39,040 --> 00:05:41,760 Speaker 1: if you go to one La must said they were 112 00:05:41,800 --> 00:05:44,360 Speaker 1: gonna be profitable going forward forever and they never need 113 00:05:44,400 --> 00:05:47,080 Speaker 1: to raise money again. A month later, they lost seven 114 00:05:47,200 --> 00:05:50,720 Speaker 1: hundred million dollars, and since then they've raised ten billion dollars. 115 00:05:51,000 --> 00:05:52,599 Speaker 1: Right when he said they're never gonna need to raise 116 00:05:52,640 --> 00:05:54,880 Speaker 1: money again. Just last year, right, they said they were 117 00:05:54,880 --> 00:05:56,800 Speaker 1: gonna have a million robo taxes on the road. This 118 00:05:56,880 --> 00:05:59,640 Speaker 1: year they use that promise to raise a billion dollars. 119 00:05:59,720 --> 00:06:03,119 Speaker 1: There's not one robot taxi on the road. So again people, 120 00:06:03,240 --> 00:06:05,680 Speaker 1: you know, people talk about these promises that Elon musk 121 00:06:05,760 --> 00:06:07,440 Speaker 1: makes and I you know, I highlight this. You know, 122 00:06:07,520 --> 00:06:09,560 Speaker 1: given the battery days coming up. Keep in mind it's 123 00:06:09,880 --> 00:06:11,960 Speaker 1: fifteen Elon must sit in a year to two years, 124 00:06:12,120 --> 00:06:14,680 Speaker 1: your testa will be able to do over SIS on 125 00:06:14,680 --> 00:06:16,960 Speaker 1: one charge. They're still not They're still not there. So 126 00:06:17,000 --> 00:06:20,080 Speaker 1: he makes these promises he doesn't meet. With respect to Nicola, 127 00:06:20,520 --> 00:06:23,840 Speaker 1: listen the GM investment yesterday, no cash was changed the 128 00:06:23,960 --> 00:06:26,479 Speaker 1: hands right. GM took an ownership interest in Nicola, and 129 00:06:26,560 --> 00:06:30,760 Speaker 1: Nicola gave GM shares um. With respect to Nicolas technology, 130 00:06:30,760 --> 00:06:32,320 Speaker 1: you know, we're going to actually have to get that 131 00:06:32,400 --> 00:06:35,479 Speaker 1: Nicola thought from you another time. We are out of time. Gordon, 132 00:06:35,560 --> 00:06:37,720 Speaker 1: thank you so much for joining us today, though much 133 00:06:37,720 --> 00:06:43,600 Speaker 1: appreciated from g l J researcher at Gordon Johnson. The 134 00:06:43,600 --> 00:06:45,760 Speaker 1: ten year yield at sixty seven basis points, the two 135 00:06:45,760 --> 00:06:50,039 Speaker 1: stands spread at nearly fifty four basis points. What exactly 136 00:06:50,160 --> 00:06:52,480 Speaker 1: is the focus for the treasury market liston right now? Well, 137 00:06:52,520 --> 00:06:55,440 Speaker 1: let's bring in Jim Vogel of f h N Financial. 138 00:06:55,720 --> 00:06:59,720 Speaker 1: Following all of the data and interest rates and rates 139 00:06:59,760 --> 00:07:02,560 Speaker 1: mark it's for the last X number of years. Jim. 140 00:07:02,560 --> 00:07:04,680 Speaker 1: It is great to have you on. It's been a 141 00:07:04,680 --> 00:07:09,360 Speaker 1: really interesting right, and equities, but rates have been sort 142 00:07:09,400 --> 00:07:12,560 Speaker 1: of like the cows watching equities passed by quite happily. 143 00:07:13,360 --> 00:07:17,560 Speaker 1: Oh yes, And what they're really focused on right now 144 00:07:17,720 --> 00:07:21,400 Speaker 1: is the supply this week, uh CPI on Friday, and 145 00:07:21,440 --> 00:07:25,160 Speaker 1: then the Fed next week. You're absolutely right, equities for 146 00:07:25,200 --> 00:07:27,360 Speaker 1: the moment as far as rates are concerned, or aside 147 00:07:27,400 --> 00:07:32,600 Speaker 1: to right. So what is this calm in the treasury market? 148 00:07:32,760 --> 00:07:36,920 Speaker 1: Is it just the absolute conviction that central banks are 149 00:07:36,920 --> 00:07:40,400 Speaker 1: going to you know, keep underpinning the fundamentals of the 150 00:07:40,440 --> 00:07:44,840 Speaker 1: economy and that central banks will also save us should 151 00:07:44,840 --> 00:07:47,120 Speaker 1: inflation get out of control, like stan Rock and Miller 152 00:07:47,200 --> 00:07:50,080 Speaker 1: is telling c NBC, or should we see deflation, which 153 00:07:50,080 --> 00:07:54,760 Speaker 1: sand Rock and Miller is also telling CNBC. Well, Um, 154 00:07:54,960 --> 00:07:58,720 Speaker 1: the couple of things. The main one is that right 155 00:07:58,760 --> 00:08:03,160 Speaker 1: now the bond market is more uncertain than many of 156 00:08:03,320 --> 00:08:06,080 Speaker 1: the pundits and the people that appear on the media 157 00:08:06,160 --> 00:08:08,840 Speaker 1: on a regular basis, and so they're waiting to see 158 00:08:08,880 --> 00:08:11,760 Speaker 1: what happens and develops. Because we do have the election, 159 00:08:11,880 --> 00:08:14,600 Speaker 1: we've got the what the Congress is going to consider 160 00:08:14,640 --> 00:08:17,400 Speaker 1: with fiscal stimulus, and then we have the next steps 161 00:08:17,400 --> 00:08:20,920 Speaker 1: that the Fed is going to employ Meanwhile, many of 162 00:08:20,920 --> 00:08:25,120 Speaker 1: the people that sat on liquidity during the early part 163 00:08:25,120 --> 00:08:28,000 Speaker 1: of the third quarter are continuing to put that money 164 00:08:28,000 --> 00:08:31,880 Speaker 1: to work. So you have the tension of uncertainty against 165 00:08:31,920 --> 00:08:35,160 Speaker 1: the need for people to continue to spend cash. That's 166 00:08:35,200 --> 00:08:38,360 Speaker 1: so interesting. So there's an underlying tension there that may 167 00:08:38,360 --> 00:08:41,199 Speaker 1: not be obvious if you just look at the actual levels. 168 00:08:41,240 --> 00:08:43,160 Speaker 1: So when do we get a change in that gym? 169 00:08:43,240 --> 00:08:46,680 Speaker 1: Does does something happen? You know, does does the dam break? 170 00:08:46,720 --> 00:08:50,680 Speaker 1: At some point? It does? There are two things to watch. 171 00:08:51,240 --> 00:08:54,360 Speaker 1: One is the actual credit experience that will start to 172 00:08:54,400 --> 00:08:57,599 Speaker 1: see from households and small businesses in terms of delinquencies 173 00:08:57,600 --> 00:09:01,280 Speaker 1: and unfortunately the possibility of defaults and charge offs in 174 00:09:01,320 --> 00:09:04,480 Speaker 1: the fourth quarter. And then the second is the progress 175 00:09:04,559 --> 00:09:09,800 Speaker 1: that we make on the twin of vaccine development and 176 00:09:09,840 --> 00:09:14,120 Speaker 1: then how the US continues to try to adapt to 177 00:09:14,240 --> 00:09:18,000 Speaker 1: the pandemic without a vaccine today. Yeah, do you have 178 00:09:18,080 --> 00:09:20,800 Speaker 1: a base case at f H engine or just yourself, 179 00:09:20,840 --> 00:09:23,080 Speaker 1: what is your base case for how the economy reacts? 180 00:09:23,960 --> 00:09:27,160 Speaker 1: You know that we're in the W camp, so that 181 00:09:27,240 --> 00:09:31,800 Speaker 1: the fourth quarters um disappoints relative to current expectations. Uh, 182 00:09:31,840 --> 00:09:35,360 Speaker 1: and that creates the opportunity for people to rethink the 183 00:09:35,400 --> 00:09:38,120 Speaker 1: idea that inflation is going to run out of control 184 00:09:38,200 --> 00:09:41,440 Speaker 1: simply because the FED has changed uh its approach to 185 00:09:41,679 --> 00:09:46,240 Speaker 1: managing um their policy for the next four to five years. 186 00:09:46,960 --> 00:09:50,160 Speaker 1: What did you make of that is something that you're anticipating, 187 00:09:50,200 --> 00:09:53,720 Speaker 1: and what does it change practically for traitors of rates 188 00:09:53,920 --> 00:09:57,720 Speaker 1: or those trying to conserve some cash. For the most part, 189 00:09:57,760 --> 00:10:01,120 Speaker 1: the FED changes reflect things that are going to happen 190 00:10:01,200 --> 00:10:04,200 Speaker 1: maybe in the next two to three years. It's unlikely 191 00:10:04,280 --> 00:10:07,680 Speaker 1: that they come into play at any point in in 192 00:10:09,400 --> 00:10:12,640 Speaker 1: so there's time to consider what the Fit's going to do. 193 00:10:13,040 --> 00:10:15,280 Speaker 1: The big reason for the change was is that the 194 00:10:15,280 --> 00:10:18,679 Speaker 1: old policy just simply was not working and it needed 195 00:10:18,720 --> 00:10:23,120 Speaker 1: to change. It's not a revolution, it's an education process 196 00:10:23,160 --> 00:10:27,880 Speaker 1: for everyone, Jim. Outside of the obvious, you know unemployment, 197 00:10:28,360 --> 00:10:32,600 Speaker 1: under employment, you know social inequality, all of the things 198 00:10:32,640 --> 00:10:34,760 Speaker 1: that are troubling the US at the moment and that 199 00:10:35,000 --> 00:10:38,360 Speaker 1: have potential implications for the bond market. Do you look 200 00:10:38,400 --> 00:10:42,640 Speaker 1: outside the US for other challenges, obviously China being one. 201 00:10:43,559 --> 00:10:47,040 Speaker 1: So you have to constantly watch the combination of the 202 00:10:47,080 --> 00:10:51,319 Speaker 1: demographics of an aging population in Europe and the dependence 203 00:10:51,360 --> 00:10:55,960 Speaker 1: of the European economy on emerging market growth. So there's 204 00:10:56,040 --> 00:10:59,800 Speaker 1: stories that started literally five or six years ago that 205 00:11:00,000 --> 00:11:02,120 Speaker 1: are still going to be with us when we come 206 00:11:02,120 --> 00:11:04,720 Speaker 1: out on the other side from the pandemic. Yeah, that's 207 00:11:04,720 --> 00:11:07,000 Speaker 1: for sure. You talk about Europe there, and we did 208 00:11:07,000 --> 00:11:09,600 Speaker 1: see a move in yields yesterday. But essentially, as you're 209 00:11:09,600 --> 00:11:13,120 Speaker 1: talking about negative yields and Europe, you know, how much 210 00:11:13,200 --> 00:11:16,040 Speaker 1: does it matter whether we have a five or six 211 00:11:16,040 --> 00:11:19,240 Speaker 1: basis point move and say a French bond or a 212 00:11:19,280 --> 00:11:23,520 Speaker 1: German bond, Right, we need something like a thirty to 213 00:11:23,640 --> 00:11:26,400 Speaker 1: forty basis point change in terms of the outlook and 214 00:11:26,440 --> 00:11:31,000 Speaker 1: the landscape for European interest rates, and that is perhaps 215 00:11:31,040 --> 00:11:35,000 Speaker 1: possible by two, but it's not a near term event either. 216 00:11:36,160 --> 00:11:39,680 Speaker 1: Do you see inflation becoming a problem, you know, in 217 00:11:39,720 --> 00:11:45,800 Speaker 1: the next decade, Jim. If it becomes a problem, it's 218 00:11:45,840 --> 00:11:50,520 Speaker 1: going to be because the spending patterns and the consumption 219 00:11:50,600 --> 00:11:54,720 Speaker 1: patterns of the next generation that's coming behind the Boomers 220 00:11:55,240 --> 00:12:01,360 Speaker 1: fundamentally changes their attitude toward um spending and the mount 221 00:12:01,440 --> 00:12:07,040 Speaker 1: they borrow. So inflation comes from uh in effect, credit 222 00:12:07,160 --> 00:12:11,800 Speaker 1: fueled spending that was the hallmark of the Boomer generation 223 00:12:12,200 --> 00:12:17,200 Speaker 1: so far that has not been absorbed by the cohort 224 00:12:17,280 --> 00:12:19,960 Speaker 1: coming up that that has already past the boomers in 225 00:12:20,080 --> 00:12:22,599 Speaker 1: terms of its total size in the US. That is 226 00:12:22,640 --> 00:12:26,000 Speaker 1: so fascinating. And Jim, before we let you go out 227 00:12:26,000 --> 00:12:28,960 Speaker 1: of time, really, but how is Memphis, Tennessee? These days open? 228 00:12:29,320 --> 00:12:34,760 Speaker 1: Not open? Uh? Schools are virtual for public schools. We 229 00:12:34,960 --> 00:12:37,880 Speaker 1: have still a good number of rules in place. But 230 00:12:38,040 --> 00:12:41,800 Speaker 1: thankfully the COVID infections are falling all right. That is 231 00:12:41,960 --> 00:12:44,520 Speaker 1: Jim Vogel. Always love chatting with Jim, who is of 232 00:12:44,559 --> 00:12:47,840 Speaker 1: course based in Memphis, Tennessee. He's interest rate strategist for 233 00:12:47,920 --> 00:12:51,960 Speaker 1: f h N Financial, FED Water, ECB Water and much 234 00:12:52,160 --> 00:12:58,000 Speaker 1: much more are thanks to Jim Vogel. Well Sweeney is 235 00:12:58,040 --> 00:13:00,440 Speaker 1: off today. Let's get now to our next to guess. 236 00:13:00,440 --> 00:13:04,199 Speaker 1: Gina Martin Adams is chief equity strategist for Bloomberg Intelligence 237 00:13:04,240 --> 00:13:06,600 Speaker 1: and has been watching, I'm sure the last few days 238 00:13:07,080 --> 00:13:12,440 Speaker 1: moves with extreme interest, so extreme in fact that she 239 00:13:12,559 --> 00:13:16,319 Speaker 1: talks about momentum extremes and how they're easing and that 240 00:13:16,480 --> 00:13:20,080 Speaker 1: means that new equities leadership should emerge. Gina, thanks for 241 00:13:20,160 --> 00:13:23,000 Speaker 1: joining so so are we definitely saying that these are 242 00:13:23,040 --> 00:13:26,440 Speaker 1: extremes or have we decided. Yet, Yeah, we definitely did 243 00:13:26,480 --> 00:13:29,559 Speaker 1: get to a momentum extreme. We saw by the end 244 00:13:29,600 --> 00:13:32,640 Speaker 1: of August, three of the biggest sectors in the SP 245 00:13:33,800 --> 00:13:37,840 Speaker 1: tech communications as well as consumer discretionary reaching multi year 246 00:13:37,880 --> 00:13:41,880 Speaker 1: extremes on momentum. At the same time, we saw index 247 00:13:41,960 --> 00:13:47,600 Speaker 1: valuations rise almost exclusively due to text docs and mega 248 00:13:47,640 --> 00:13:51,720 Speaker 1: cab text docs, and the gap between broad index valuations 249 00:13:51,760 --> 00:13:55,199 Speaker 1: as well as UH and index valuations excluding those text 250 00:13:55,200 --> 00:13:58,400 Speaker 1: docs reached the multi decade high. So we certainly did 251 00:13:58,440 --> 00:14:01,080 Speaker 1: reach an extreme point in time. Now the question is 252 00:14:01,080 --> 00:14:03,360 Speaker 1: where do we go from here? What does extreme really mean? 253 00:14:03,480 --> 00:14:06,199 Speaker 1: Because I think that your natural reaction maybe oh quite 254 00:14:06,200 --> 00:14:08,880 Speaker 1: fearful on the other side of an extreme. But what 255 00:14:09,000 --> 00:14:11,200 Speaker 1: you can see and what you know, our view is 256 00:14:11,640 --> 00:14:15,000 Speaker 1: we'll actually see pe s normalize, will most likely see 257 00:14:15,120 --> 00:14:20,240 Speaker 1: leadership shift to other cyclical sectors um and it We 258 00:14:20,280 --> 00:14:22,520 Speaker 1: could be in for a choppy period in the interim 259 00:14:22,560 --> 00:14:25,480 Speaker 1: as we see that leadership shift, But there's still very 260 00:14:25,480 --> 00:14:28,760 Speaker 1: little evidence that the broader ball market is coming to 261 00:14:28,800 --> 00:14:31,160 Speaker 1: an end or anything like that. It's really just an 262 00:14:31,200 --> 00:14:35,960 Speaker 1: adjustment from extreme levels. Sometimes those adjustments take you from 263 00:14:36,400 --> 00:14:39,880 Speaker 1: you know, upside extremes to downside extremes, but so far 264 00:14:40,400 --> 00:14:43,440 Speaker 1: it looks like more of a normalization from what we're 265 00:14:43,680 --> 00:14:47,000 Speaker 1: pretty out of balance conditions by the end of August. 266 00:14:47,360 --> 00:14:49,320 Speaker 1: So talk to us a little bit about the new 267 00:14:49,400 --> 00:14:51,720 Speaker 1: leadership that you say will emerge. You give us some 268 00:14:51,800 --> 00:14:54,040 Speaker 1: details there, But are we talking about a post pandemic 269 00:14:54,080 --> 00:14:57,200 Speaker 1: world in which investor is just value stay at home 270 00:14:57,240 --> 00:15:02,240 Speaker 1: stocks and real performer like Amazon that can just get 271 00:15:02,360 --> 00:15:08,840 Speaker 1: consumers what they want to their doorsteps immediately, much richer 272 00:15:08,840 --> 00:15:12,880 Speaker 1: than other companies. Yeah, I think that we'll see some 273 00:15:13,120 --> 00:15:16,680 Speaker 1: normalization of that. I mean, we certainly have seen valuations 274 00:15:16,720 --> 00:15:19,960 Speaker 1: expand enormously for some of the COVID nineteen winners or 275 00:15:20,000 --> 00:15:23,040 Speaker 1: some of the more sort of persistent earners over the 276 00:15:23,040 --> 00:15:25,360 Speaker 1: course of the last six months. What we're expecting to 277 00:15:25,400 --> 00:15:30,400 Speaker 1: see into one is more normalized conditions emerge where some 278 00:15:30,480 --> 00:15:33,760 Speaker 1: of the most beaten down cyclical care groups like industrials 279 00:15:33,760 --> 00:15:38,280 Speaker 1: and materials, some of the consumer discretionary names outside of 280 00:15:38,560 --> 00:15:42,720 Speaker 1: Amazon are expected to lead in earnings recovery, and in 281 00:15:42,760 --> 00:15:45,760 Speaker 1: an environment where they lead in earnings recovery off of 282 00:15:45,760 --> 00:15:48,400 Speaker 1: a very low base or not, you should see some 283 00:15:48,520 --> 00:15:51,400 Speaker 1: leadership migrate to those names to take advantage of that 284 00:15:51,440 --> 00:15:54,880 Speaker 1: earnings recovery. So a lot of this depends upon what 285 00:15:55,000 --> 00:15:57,840 Speaker 1: the outlook looks like. How much do economies improve, how 286 00:15:57,920 --> 00:16:01,960 Speaker 1: much do we see humors sort of go outside of 287 00:16:02,040 --> 00:16:07,080 Speaker 1: their homes, visit restaurants, you know, resume pre COVID type 288 00:16:07,120 --> 00:16:09,080 Speaker 1: of activities over the course of the next six to 289 00:16:09,160 --> 00:16:11,640 Speaker 1: twelve months. But if you look at the consensus forecast 290 00:16:12,800 --> 00:16:15,240 Speaker 1: very differently than the environment we've been in for the 291 00:16:15,320 --> 00:16:18,840 Speaker 1: last six months, where tech and healthcare have taken a 292 00:16:19,000 --> 00:16:22,400 Speaker 1: very very strong and consistent earnings lead, we should see 293 00:16:22,400 --> 00:16:26,200 Speaker 1: earnings distribute, earnings growth distribute to more secular sectors and 294 00:16:26,280 --> 00:16:29,480 Speaker 1: importantly too different sectors over the course of one and 295 00:16:29,560 --> 00:16:34,200 Speaker 1: that should create a migration two groups outside of of 296 00:16:34,240 --> 00:16:38,080 Speaker 1: tech and healthcare to some degree. So does the pe 297 00:16:38,120 --> 00:16:40,840 Speaker 1: gap between tech and then by tech I suppose, I 298 00:16:40,880 --> 00:16:44,440 Speaker 1: mean the biggest five tech companies and some of the 299 00:16:44,440 --> 00:16:47,880 Speaker 1: rest even in tech. Will that tolls Gina? I think 300 00:16:47,880 --> 00:16:50,240 Speaker 1: it should. I mean, there's some argument to be made 301 00:16:50,280 --> 00:16:54,720 Speaker 1: that it doesn't necessarily need to close by valuations falling 302 00:16:54,880 --> 00:16:58,160 Speaker 1: for tech stocks, who could see valuations for the rest 303 00:16:58,160 --> 00:17:00,200 Speaker 1: of the market starts to catch up to tech. When 304 00:17:00,200 --> 00:17:03,080 Speaker 1: we look at the broad market, and we try to 305 00:17:03,400 --> 00:17:06,280 Speaker 1: determine what a fair value multiple for the index is. 306 00:17:06,480 --> 00:17:09,960 Speaker 1: We find the result of extremely low interest rates in 307 00:17:10,040 --> 00:17:15,160 Speaker 1: combination with a likely double digit earnings recovery into supports 308 00:17:15,160 --> 00:17:17,880 Speaker 1: the fair value pe for the broad market of well 309 00:17:18,000 --> 00:17:22,439 Speaker 1: north of twenty times earnings. Currently, the market is trading 310 00:17:22,480 --> 00:17:27,240 Speaker 1: at about twenty times earnings, even including those big Tex docs, 311 00:17:27,280 --> 00:17:29,919 Speaker 1: so there is room for some reratings still in the 312 00:17:29,960 --> 00:17:33,119 Speaker 1: non tech areas of the market. It's difficult to argue 313 00:17:33,160 --> 00:17:36,480 Speaker 1: that you would need to see tech valuations move higher 314 00:17:37,000 --> 00:17:40,600 Speaker 1: in an environment where their earnings dominance is starting to 315 00:17:40,720 --> 00:17:43,960 Speaker 1: fade a little bit, So it's unlikely that tech multiples 316 00:17:44,000 --> 00:17:47,680 Speaker 1: continue to expand they may even normalize by coming down 317 00:17:47,680 --> 00:17:50,080 Speaker 1: a little bit, meeting somewhere in the middle the rest 318 00:17:50,119 --> 00:17:52,240 Speaker 1: of the market as the rest of the market starts 319 00:17:52,280 --> 00:17:55,879 Speaker 1: to catch up. Fascinating and give us a time frame 320 00:17:56,000 --> 00:17:58,159 Speaker 1: for this, You know, when when is the latest that 321 00:17:58,240 --> 00:18:02,159 Speaker 1: this might happen? Yeah, So our sector scorecard actually started 322 00:18:02,200 --> 00:18:04,720 Speaker 1: to signal as of September one, we put out the 323 00:18:04,760 --> 00:18:06,960 Speaker 1: scorecard and it's the first time that we saw tech 324 00:18:07,040 --> 00:18:09,639 Speaker 1: fall out of the top three sectors on the scorecard 325 00:18:10,160 --> 00:18:15,800 Speaker 1: since um we saw materials, industrials and discretionary stocks already 326 00:18:15,800 --> 00:18:19,800 Speaker 1: starting to rise. There is some evidence even as of 327 00:18:19,840 --> 00:18:24,359 Speaker 1: August that value um, the value factor in the SMP 328 00:18:24,480 --> 00:18:27,160 Speaker 1: five hundred anyway, was starting to outperform. If you look 329 00:18:27,160 --> 00:18:30,760 Speaker 1: at the long short value factor, uh, it performed better 330 00:18:30,880 --> 00:18:35,520 Speaker 1: than quality or volatility or momentum in the month of 331 00:18:35,520 --> 00:18:38,439 Speaker 1: August for the first time and sometimes. So we're already 332 00:18:38,440 --> 00:18:41,359 Speaker 1: starting to see some evidence of this rotation. If you 333 00:18:41,359 --> 00:18:44,199 Speaker 1: look at the last five days, even material stocks are 334 00:18:44,280 --> 00:18:47,560 Speaker 1: up while the rest of the index is down. Industrial 335 00:18:47,640 --> 00:18:50,399 Speaker 1: stocks have fallen half as much as the index. So 336 00:18:50,480 --> 00:18:52,280 Speaker 1: I think we're starting to see a little bit of 337 00:18:52,320 --> 00:18:56,679 Speaker 1: this rotation. Now will it continue really depends on some 338 00:18:56,840 --> 00:18:59,600 Speaker 1: solidification of that earnings outlook. I do think we need 339 00:18:59,680 --> 00:19:04,040 Speaker 1: to go into third quarter earning season and see companies 340 00:19:04,119 --> 00:19:07,040 Speaker 1: start to confirm that they do see a better environment 341 00:19:07,080 --> 00:19:11,600 Speaker 1: emerging into one. They do see order flow improving, they 342 00:19:11,640 --> 00:19:16,520 Speaker 1: do see manufacturing activity starting to pick up around the world. Um, 343 00:19:16,560 --> 00:19:19,760 Speaker 1: maybe even some references to the week dollar as a 344 00:19:19,840 --> 00:19:25,879 Speaker 1: support to their multinational operations, and multinational economic activity starting 345 00:19:25,880 --> 00:19:29,000 Speaker 1: to improve. So I do think, well, we'll go through 346 00:19:29,040 --> 00:19:32,760 Speaker 1: a period of of you know, really assessing, reassessing. You know, 347 00:19:32,880 --> 00:19:36,400 Speaker 1: probably see a chopping market as we go through this transition, 348 00:19:36,440 --> 00:19:39,080 Speaker 1: but ultimately it will depend upon earnings really proving the 349 00:19:39,160 --> 00:19:43,280 Speaker 1: case to broaden out exposure in the SMP five beyond 350 00:19:43,400 --> 00:19:46,560 Speaker 1: these COVID winners. Yeah, it really is fascinating if you 351 00:19:46,560 --> 00:19:49,080 Speaker 1: look at the value index versus the growth index and 352 00:19:49,080 --> 00:19:51,880 Speaker 1: how they've performed. The value index is down twelve sance 353 00:19:51,880 --> 00:19:53,439 Speaker 1: the beginning of the year. The growth index is up 354 00:19:53,480 --> 00:19:56,400 Speaker 1: twenty since the beginning of the year. Very briefly, we're 355 00:19:56,440 --> 00:19:59,080 Speaker 1: out of time, but I did want to ask you, 356 00:19:59,800 --> 00:20:03,000 Speaker 1: you know, doesn't matter who are the players here, whether 357 00:20:03,040 --> 00:20:06,080 Speaker 1: they're you know, big hedge funds or big pension funds 358 00:20:06,160 --> 00:20:10,680 Speaker 1: or robin Hood investors. Yeah, I think it matters to 359 00:20:10,760 --> 00:20:14,639 Speaker 1: some degree. Um, you're certainly seeing a heightened amount of 360 00:20:15,240 --> 00:20:20,480 Speaker 1: interest in specialty packaged products like epf UM. You know, 361 00:20:20,520 --> 00:20:23,359 Speaker 1: obviously the Triple Q products have driven a lot of 362 00:20:23,520 --> 00:20:25,760 Speaker 1: slow over the course of the last couple of months. 363 00:20:26,359 --> 00:20:29,879 Speaker 1: That does indicate that this sort of um presence of 364 00:20:29,920 --> 00:20:33,600 Speaker 1: the retail investor is significant. Our work says the retail 365 00:20:33,600 --> 00:20:37,760 Speaker 1: investor flows the market. They've historically averaged about fift for 366 00:20:37,800 --> 00:20:41,760 Speaker 1: the last five years, so there is more retail participation 367 00:20:41,840 --> 00:20:44,399 Speaker 1: in this to the extent that some of that gets 368 00:20:44,440 --> 00:20:49,360 Speaker 1: washed out through this um this tech sort of adjustment. 369 00:20:49,480 --> 00:20:51,679 Speaker 1: I would suggest that somewhat healthy. We want to have 370 00:20:51,760 --> 00:20:55,960 Speaker 1: less speculation and more investing. Gina Martin Adams, always eliminating 371 00:20:56,000 --> 00:20:59,359 Speaker 1: speaking with you, Sank huge if equity strategist for Bloomberg Intelligence. 372 00:20:59,440 --> 00:21:04,959 Speaker 1: Gina Martin Adams, there alright. Astros Zeneca in the news today. 373 00:21:05,119 --> 00:21:09,520 Speaker 1: One of the candidates for a vaccine, of course, is 374 00:21:09,560 --> 00:21:12,840 Speaker 1: astro zenecas, and we got to report yesterday that there 375 00:21:12,920 --> 00:21:17,160 Speaker 1: was some adverse reaction in one patient or perhaps more. 376 00:21:17,240 --> 00:21:19,760 Speaker 1: Today the ft is saying that trials may resume next week. 377 00:21:19,840 --> 00:21:22,120 Speaker 1: To make sense of it all, let's bring in Sam Fazally, 378 00:21:22,440 --> 00:21:24,760 Speaker 1: senior pharmaceutical analyst and head of E M e A 379 00:21:24,840 --> 00:21:28,600 Speaker 1: Research for Bloomberg Intelligence. Sam, what exactly is going on 380 00:21:28,680 --> 00:21:32,480 Speaker 1: at astro Zeneca h Q? On Twitter yesterday, for example, 381 00:21:32,520 --> 00:21:36,040 Speaker 1: there was a lot of discussion about the difference between 382 00:21:36,040 --> 00:21:39,439 Speaker 1: saying the word adverse effect and side effect and so on. 383 00:21:40,119 --> 00:21:43,639 Speaker 1: Just bring us up to speed with the story. Yeah, Hi, BONI, 384 00:21:43,840 --> 00:21:48,160 Speaker 1: So I mean advertifact, side effect, toxicity, safety signal, They're 385 00:21:48,200 --> 00:21:51,119 Speaker 1: all the same kind of things. So um I would 386 00:21:51,119 --> 00:21:54,400 Speaker 1: just see this as obviously sufficiently big enough safety signal 387 00:21:54,880 --> 00:21:58,200 Speaker 1: for the company to have decided to voluntarily hold the trial. 388 00:21:58,640 --> 00:22:01,120 Speaker 1: Once they've done that, though it's necessarily up to them 389 00:22:01,160 --> 00:22:04,840 Speaker 1: to restart it. They would have to satisfy their data 390 00:22:04,880 --> 00:22:10,000 Speaker 1: safety monitoring board, which every trial has, and the regulators 391 00:22:10,040 --> 00:22:14,240 Speaker 1: that it is safe to restart the trial and continue 392 00:22:14,280 --> 00:22:18,600 Speaker 1: dosing patients. So whether the company thinks that it would 393 00:22:18,600 --> 00:22:21,520 Speaker 1: be over or not must be something to do with 394 00:22:21,960 --> 00:22:24,600 Speaker 1: what they're talking about with regulators. But at the end 395 00:22:24,640 --> 00:22:26,000 Speaker 1: of the day, it is them who are going to 396 00:22:26,080 --> 00:22:29,920 Speaker 1: decide to allow the trial to restart. Yes, the f 397 00:22:30,160 --> 00:22:33,320 Speaker 1: T I should explain is reporting that sources to the 398 00:22:33,400 --> 00:22:37,160 Speaker 1: FT are saying that the trial could resume early next week. 399 00:22:37,200 --> 00:22:39,199 Speaker 1: And this is a trial, of course in conjunction with 400 00:22:39,280 --> 00:22:44,159 Speaker 1: Oxford University. Now, is this a large trial? Explained to us? 401 00:22:44,160 --> 00:22:48,800 Speaker 1: Where it sits in the universe of trials right now? Yes. 402 00:22:48,840 --> 00:22:52,160 Speaker 1: So the biggest trial which hasn't or maybe just has 403 00:22:52,200 --> 00:22:55,200 Speaker 1: started recruiting, is one from Johnson and Johnson, which would 404 00:22:55,200 --> 00:23:00,320 Speaker 1: be sixty individuals, and that's international arranges from Philippe Means 405 00:23:00,359 --> 00:23:04,479 Speaker 1: to Brazil to Chile to many centers in the United 406 00:23:04,520 --> 00:23:08,600 Speaker 1: States sixty. Then you have the thirty thousand trials in 407 00:23:08,640 --> 00:23:13,280 Speaker 1: the US, mostly by moderna finds a rayontic and astro 408 00:23:13,520 --> 00:23:17,160 Speaker 1: itself that was just beginning to start dosing. And then 409 00:23:17,160 --> 00:23:19,640 Speaker 1: you've got asterro itself, which has got the biggest trial 410 00:23:19,680 --> 00:23:22,199 Speaker 1: that's already been running is the UK trial where this 411 00:23:23,280 --> 00:23:25,720 Speaker 1: adverse event was recorded, which is twelve thousands, three and 412 00:23:25,760 --> 00:23:28,719 Speaker 1: thirty four as of the latest update in terms of subjects. 413 00:23:28,760 --> 00:23:31,160 Speaker 1: So there's are big trials. You know, if you had 414 00:23:31,160 --> 00:23:36,320 Speaker 1: that that that you you you surpass hundred fifty thousand subjects. 415 00:23:36,400 --> 00:23:39,679 Speaker 1: So j J leads on that one exactly. Now we 416 00:23:39,680 --> 00:23:42,440 Speaker 1: should mention that obviously placebos are involved here as well, 417 00:23:42,480 --> 00:23:44,959 Speaker 1: and that's what makes it a trial and and and 418 00:23:45,320 --> 00:23:49,280 Speaker 1: that's how we get vaccines eventually. So not all hundred 419 00:23:49,280 --> 00:23:51,520 Speaker 1: and fifty thousand or doosed with the drug that the 420 00:23:51,800 --> 00:23:55,159 Speaker 1: drug maker is making. Explain to us whether the astro 421 00:23:55,320 --> 00:23:57,359 Speaker 1: Zenica trial in the UK is the same as the 422 00:23:57,359 --> 00:24:01,040 Speaker 1: Astrosonica trial in the United States. You know, so at 423 00:24:01,040 --> 00:24:03,520 Speaker 1: the after trial in the United States when it starts 424 00:24:03,920 --> 00:24:08,840 Speaker 1: is a standard one dose and then a booster. The 425 00:24:08,920 --> 00:24:13,120 Speaker 1: one in SA booster being twenty, say, about four weeks 426 00:24:13,160 --> 00:24:16,560 Speaker 1: after the first dose. The one in the UK started 427 00:24:16,560 --> 00:24:20,120 Speaker 1: off as a single dose vaccine trial, and then at 428 00:24:20,200 --> 00:24:23,240 Speaker 1: some point and I think the first injection I can't 429 00:24:23,280 --> 00:24:26,000 Speaker 1: remember exactly, was sometime in early June, for the first 430 00:24:26,040 --> 00:24:30,080 Speaker 1: half of June um and then at some point the 431 00:24:30,119 --> 00:24:33,200 Speaker 1: company decided to move this to a to dose trial. 432 00:24:33,480 --> 00:24:36,360 Speaker 1: So there are individuals in there who had a second dose, 433 00:24:36,480 --> 00:24:39,800 Speaker 1: not necessarily four weeks after, but six weeks after or 434 00:24:39,800 --> 00:24:42,560 Speaker 1: eight weeks after, which, of course, in a trial that 435 00:24:42,640 --> 00:24:45,520 Speaker 1: already has many arms in it if you count it, 436 00:24:45,520 --> 00:24:47,600 Speaker 1: depending on how you county, it could be up more 437 00:24:47,640 --> 00:24:52,159 Speaker 1: than ten arms, ten different groups of tests being conducted. 438 00:24:52,880 --> 00:24:56,000 Speaker 1: Is it really makes it difficult to figure out what 439 00:24:56,080 --> 00:24:57,520 Speaker 1: kind of days that you're going to get out of that, 440 00:24:57,640 --> 00:25:00,840 Speaker 1: especially when you've kind of to all up a little 441 00:25:00,880 --> 00:25:03,000 Speaker 1: bit with deciding in the middle of the trial to 442 00:25:03,040 --> 00:25:07,040 Speaker 1: give two doses. Yeah, exactly. I also want to just 443 00:25:07,119 --> 00:25:12,280 Speaker 1: clarify that the suspected serious adverse reaction was suffered by 444 00:25:12,359 --> 00:25:14,879 Speaker 1: one participant in the UK as far as we know, 445 00:25:15,080 --> 00:25:18,440 Speaker 1: and that participant fell ill with a rare inflammatory condition 446 00:25:18,600 --> 00:25:22,679 Speaker 1: called transverse myelitis. According to two people familiar with the 447 00:25:22,680 --> 00:25:25,760 Speaker 1: trial who spoke to the f T. So we really 448 00:25:25,800 --> 00:25:29,200 Speaker 1: don't know exactly what this individual came down with. We 449 00:25:29,200 --> 00:25:30,840 Speaker 1: don't know if it was one individual, and we really 450 00:25:30,880 --> 00:25:34,480 Speaker 1: don't know if it was because of the astrosenega injection, right, 451 00:25:34,560 --> 00:25:36,960 Speaker 1: but we can sort of assume that it had something 452 00:25:37,000 --> 00:25:38,679 Speaker 1: to do with it. But we also don't know if 453 00:25:38,680 --> 00:25:41,200 Speaker 1: that individual was given a real injection or a placebo. 454 00:25:41,240 --> 00:25:43,400 Speaker 1: So there are many questions to be asked and answered. 455 00:25:43,920 --> 00:25:48,800 Speaker 1: What's the normal, you know, adverse reaction that's allowable for 456 00:25:49,480 --> 00:25:52,760 Speaker 1: a vaccine. Presumably some people in every trial have some 457 00:25:52,840 --> 00:25:57,000 Speaker 1: kind of an adverse reaction. Sure, sure, And I would suspect, 458 00:25:57,240 --> 00:26:00,359 Speaker 1: just to a point that you made, that the Data 459 00:26:00,359 --> 00:26:04,280 Speaker 1: Safety Monitoring Committee knew that this is a vaccinated individual 460 00:26:05,160 --> 00:26:08,200 Speaker 1: because they are unblinded to the data that comes through. 461 00:26:08,240 --> 00:26:11,280 Speaker 1: They can see everything that's coming through, and I suspect 462 00:26:11,320 --> 00:26:14,800 Speaker 1: they wouldn't have stopped it if it was just a placebo. 463 00:26:15,119 --> 00:26:19,800 Speaker 1: But the sorts of um adverse events. Remember, in these trials, 464 00:26:20,080 --> 00:26:23,200 Speaker 1: people are told anything that goes wrong or anything that's 465 00:26:23,200 --> 00:26:25,960 Speaker 1: out of the ordinary recorded, So even if they have 466 00:26:25,960 --> 00:26:27,960 Speaker 1: food poisoning, they have to record it, which is then 467 00:26:28,040 --> 00:26:31,080 Speaker 1: afterwards when you do the data triage, you try and 468 00:26:31,119 --> 00:26:33,119 Speaker 1: figure out what's related to the vaccine and what's not. 469 00:26:33,960 --> 00:26:37,840 Speaker 1: UM but you know, high temperatures, UM, chills and eggs 470 00:26:37,840 --> 00:26:41,280 Speaker 1: and fever and fever has as just said, UM some 471 00:26:41,400 --> 00:26:43,960 Speaker 1: perhaps fatigue. Those are the sorts of things that are 472 00:26:44,119 --> 00:26:47,560 Speaker 1: very normal with their vaccination and and similar to what 473 00:26:47,640 --> 00:26:51,040 Speaker 1: you yet when you're when you've got a virus that's 474 00:26:51,080 --> 00:26:55,000 Speaker 1: infected you because you're basically activating the immune system, and 475 00:26:55,040 --> 00:26:58,520 Speaker 1: those are related to the activation of the immune system. 476 00:26:58,560 --> 00:27:01,399 Speaker 1: So it's always so fascinating taking with you very clear 477 00:27:01,480 --> 00:27:04,439 Speaker 1: explanations for what's going on and what most of us 478 00:27:04,560 --> 00:27:07,600 Speaker 1: don't typically know, even though these trials go on all 479 00:27:07,600 --> 00:27:09,959 Speaker 1: the time for all sorts of drugs and treatments are 480 00:27:10,040 --> 00:27:12,880 Speaker 1: Thanks to you, Sam Fazali, Senior pharmaceutical analyst and head 481 00:27:12,880 --> 00:27:17,960 Speaker 1: of e MU Research for Bloomberg Intelligence. Thanks for listening 482 00:27:18,000 --> 00:27:21,359 Speaker 1: to Bloomberg Markets podcast. You can subscribe and listen to 483 00:27:21,440 --> 00:27:25,240 Speaker 1: interviews at Apple Podcasts or whatever podcast platform you prefer. 484 00:27:25,440 --> 00:27:28,480 Speaker 1: I'm Bonnie Quinn. I'm on Twitter at Bonny Quinn, and 485 00:27:28,480 --> 00:27:31,080 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. Before 486 00:27:31,119 --> 00:27:34,280 Speaker 1: the podcast You can always catch us worldwide at Bloomberg Radio.