1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,640 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,480 Speaker 1: at Bloomberg dot com Slash podcast. Certainly the conversation of 7 00:00:23,520 --> 00:00:26,760 Speaker 1: the morning for us. It's been quite a year with 8 00:00:26,840 --> 00:00:31,040 Speaker 1: this pandemic. I think now most people around most of 9 00:00:31,080 --> 00:00:32,560 Speaker 1: the world can see a light at the end of 10 00:00:32,560 --> 00:00:36,479 Speaker 1: the tunnel. It's because of the extraordinary science coming out 11 00:00:36,520 --> 00:00:41,120 Speaker 1: of the biotech and pharmaceutical industries. UH. And the next 12 00:00:41,120 --> 00:00:43,519 Speaker 1: guest is certainly right there, and we appreciate getting some 13 00:00:43,560 --> 00:00:46,400 Speaker 1: time from Dr newbar Afian. He has chairman and co 14 00:00:46,560 --> 00:00:49,720 Speaker 1: founder of Moderna is a publicly traded stock m r 15 00:00:49,920 --> 00:00:52,840 Speaker 1: n A on the NASDAC uh DRFA and it's also 16 00:00:52,920 --> 00:00:58,160 Speaker 1: founder and CEO of Flagship Pioneering based in Cambridge, Massachusetts. UH. 17 00:00:58,560 --> 00:01:01,200 Speaker 1: Dr Afaian, thank you how much for joining us. We 18 00:01:01,280 --> 00:01:05,039 Speaker 1: really appreciate your time, UH and we appreciate the extraordinary 19 00:01:05,120 --> 00:01:08,360 Speaker 1: work coming out of Moderna. The world is certainly thankful 20 00:01:08,440 --> 00:01:11,319 Speaker 1: for the good work from the good folks at MODERNA. 21 00:01:11,440 --> 00:01:15,000 Speaker 1: Give us an update of where you are with the 22 00:01:15,120 --> 00:01:21,559 Speaker 1: vaccine in terms of global distribution and production. Well, first, 23 00:01:21,560 --> 00:01:23,640 Speaker 1: thanks for having me and for the kind words. And 24 00:01:23,760 --> 00:01:27,119 Speaker 1: it has been uh, you know, twelve months that seems 25 00:01:27,160 --> 00:01:29,840 Speaker 1: like we're still frozen left in left March when we 26 00:01:30,000 --> 00:01:33,200 Speaker 1: started going down this path, and the progress that has 27 00:01:33,240 --> 00:01:36,560 Speaker 1: been has been really great to witness. And with all 28 00:01:36,600 --> 00:01:39,640 Speaker 1: the work downstream of distributing the vaccine, we're beginning to 29 00:01:39,680 --> 00:01:42,160 Speaker 1: see the impact that we all hoped for. In terms 30 00:01:42,200 --> 00:01:44,520 Speaker 1: of where we are right now, there's a lot going 31 00:01:44,600 --> 00:01:49,640 Speaker 1: on across many fronts. Production front, we were initially heavily 32 00:01:49,680 --> 00:01:52,400 Speaker 1: focused on the US production. We've now wrapped up our 33 00:01:52,440 --> 00:01:55,720 Speaker 1: European production in Switzer and through our partners, and that 34 00:01:55,760 --> 00:01:59,680 Speaker 1: distribution is enabling us to get volumes throughout the world 35 00:01:59,760 --> 00:02:03,640 Speaker 1: where we've had early orders from from various countries that 36 00:02:03,680 --> 00:02:07,240 Speaker 1: we've announced um. Second, we have announced a couple of 37 00:02:07,280 --> 00:02:10,400 Speaker 1: weeks ago that we're that we've both been testing our 38 00:02:10,400 --> 00:02:15,079 Speaker 1: current UH initial vaccine that's already being deployed, but also 39 00:02:16,120 --> 00:02:21,440 Speaker 1: testing some vaccines that that also have additional variations to them. 40 00:02:21,440 --> 00:02:25,480 Speaker 1: In one case, a variant that is designed to tackle 41 00:02:26,120 --> 00:02:30,360 Speaker 1: more directly the South African variant, because well, we don't 42 00:02:30,400 --> 00:02:35,119 Speaker 1: know whether that variant will oppose problems a long term, 43 00:02:35,120 --> 00:02:37,400 Speaker 1: we want to be ready if it does. So, so 44 00:02:37,400 --> 00:02:41,200 Speaker 1: our technology lends itself to a very rapid response and 45 00:02:41,280 --> 00:02:44,160 Speaker 1: we can change essentially the code of the of the 46 00:02:44,240 --> 00:02:46,280 Speaker 1: m R and A we use and very quickly have 47 00:02:46,639 --> 00:02:51,120 Speaker 1: a slightly different immune response. We also have announced going 48 00:02:51,160 --> 00:02:55,120 Speaker 1: into younger populations to have to eighteen and just yesterday 49 00:02:55,480 --> 00:02:58,400 Speaker 1: we are now starting our trial phase two three trials 50 00:02:58,440 --> 00:03:01,880 Speaker 1: that will be a careful trial going from twelve down 51 00:03:01,919 --> 00:03:05,000 Speaker 1: to six month old. We think it's very very important 52 00:03:05,040 --> 00:03:09,000 Speaker 1: that that piece of the population be protected as well, 53 00:03:09,040 --> 00:03:11,680 Speaker 1: because that's where much of the damage in terms of 54 00:03:11,760 --> 00:03:15,520 Speaker 1: learning loss and school attendance has been felt, and we 55 00:03:15,639 --> 00:03:17,440 Speaker 1: very much want to make sure that we can also 56 00:03:17,880 --> 00:03:20,679 Speaker 1: get an effective and safe vaccine. There so a lot 57 00:03:20,720 --> 00:03:25,080 Speaker 1: of different activities going on. How many doses doctor, do 58 00:03:25,160 --> 00:03:29,600 Speaker 1: you think you can produce max this year and how 59 00:03:29,600 --> 00:03:33,120 Speaker 1: many can you produce next year? I mean, what are 60 00:03:33,120 --> 00:03:34,720 Speaker 1: the biggest head winds and tail winds? But what are 61 00:03:34,720 --> 00:03:38,800 Speaker 1: the numbers you think you can hit? Um But Durna 62 00:03:39,240 --> 00:03:42,680 Speaker 1: has announced publicly that we have ramped up our productions 63 00:03:42,680 --> 00:03:45,160 Speaker 1: such that we think that we'll be able to get 64 00:03:45,320 --> 00:03:48,760 Speaker 1: up to a billion doses this year. Certainly feel comfortable 65 00:03:48,800 --> 00:03:53,320 Speaker 1: with the seven eight million dollars somehow many million dose numbers, 66 00:03:53,360 --> 00:03:55,840 Speaker 1: but we've put in place and have many investments to 67 00:03:56,040 --> 00:03:58,800 Speaker 1: enable production going up to a billion doses. That's just 68 00:03:58,880 --> 00:04:02,320 Speaker 1: this year. I'll run mind your audience. That are vaccines. 69 00:04:02,360 --> 00:04:05,400 Speaker 1: Since it was developed first and most rapidly in the beginning, 70 00:04:05,840 --> 00:04:09,000 Speaker 1: we basically decided to go after the highest those we 71 00:04:09,040 --> 00:04:12,200 Speaker 1: could we could use and and dose twice. The reason 72 00:04:12,240 --> 00:04:14,720 Speaker 1: for that was to be able to get the maximum 73 00:04:14,800 --> 00:04:17,480 Speaker 1: level of protection, and that was evidenced in the efficacy 74 00:04:17,560 --> 00:04:22,040 Speaker 1: numbers we saw. We are, however, as we speak, also 75 00:04:22,160 --> 00:04:25,520 Speaker 1: testing other dose levels that are lower than the four 76 00:04:25,600 --> 00:04:28,720 Speaker 1: hundred micrograms, particularly when it comes to the booster. We've 77 00:04:28,720 --> 00:04:32,440 Speaker 1: said publicly we're testing fifty micrograms and the found micrograms 78 00:04:32,480 --> 00:04:35,200 Speaker 1: in a booster shop and and and the reason that's 79 00:04:35,200 --> 00:04:39,560 Speaker 1: important is that should that be effective or even equally effective, 80 00:04:39,720 --> 00:04:41,960 Speaker 1: we just don't know until we test. Then of course, 81 00:04:41,960 --> 00:04:45,560 Speaker 1: the production volume could increase by two to four times 82 00:04:45,839 --> 00:04:48,440 Speaker 1: the number that I told you simply because there would 83 00:04:48,480 --> 00:04:53,480 Speaker 1: be the dose levels would be reduced. Again, we need 84 00:04:53,520 --> 00:04:56,159 Speaker 1: evidence for that. But but what the numbers I just 85 00:04:56,200 --> 00:04:58,720 Speaker 1: gave you were at the maximum two doses at a 86 00:04:58,760 --> 00:05:02,560 Speaker 1: hundred microgram exture. We expect those numbers even at the 87 00:05:02,600 --> 00:05:04,760 Speaker 1: baseline level, even if we just stop to the same 88 00:05:05,120 --> 00:05:08,640 Speaker 1: high dose levels, we could probably increase that by another 89 00:05:09,839 --> 00:05:13,440 Speaker 1: perhaps even higher than that. UH. And we're working with 90 00:05:13,480 --> 00:05:16,760 Speaker 1: our partners all around the world to estimate what kind 91 00:05:16,760 --> 00:05:20,080 Speaker 1: of demand we will have UH in view of all 92 00:05:20,120 --> 00:05:23,360 Speaker 1: the other vaccines that also are being developed. And it 93 00:05:23,560 --> 00:05:26,320 Speaker 1: is a global pandemic, and we're gonna have to vaccinate 94 00:05:26,440 --> 00:05:30,280 Speaker 1: essentially everyone, ideally or at least as many people as 95 00:05:30,320 --> 00:05:32,960 Speaker 1: are willing to participate in and and that's going to 96 00:05:33,040 --> 00:05:38,279 Speaker 1: require multiple different producers. Will certainly do our part. Dr Fine, 97 00:05:38,320 --> 00:05:40,720 Speaker 1: I'll love to get your thoughts on what's happening in Europe. 98 00:05:40,760 --> 00:05:42,480 Speaker 1: I mean you compare that we have. You know, in 99 00:05:42,560 --> 00:05:46,440 Speaker 1: the United States more population has received at least one dose. 100 00:05:46,480 --> 00:05:49,920 Speaker 1: Those numbers are much much lower across Europe, frustrating many 101 00:05:49,920 --> 00:05:53,599 Speaker 1: of the folks there, And recently've had many countries halt 102 00:05:53,839 --> 00:05:59,280 Speaker 1: the astra zeneca UH. Vaccination. What is your sense of 103 00:05:59,400 --> 00:06:01,760 Speaker 1: what's going on in Europe? Are they being too cautious 104 00:06:01,760 --> 00:06:07,200 Speaker 1: with the AstraZeneca vaccine in a political issue? You know, 105 00:06:08,000 --> 00:06:10,080 Speaker 1: I can't comment on the political side, but let me 106 00:06:10,120 --> 00:06:13,320 Speaker 1: just start by saying that the regulatory agencies and the 107 00:06:13,360 --> 00:06:15,800 Speaker 1: health agencies in each of these countries, I believe are 108 00:06:15,839 --> 00:06:20,160 Speaker 1: well armed to explore the facts around each of the reports, 109 00:06:20,160 --> 00:06:22,640 Speaker 1: and they have to do that. And I think that 110 00:06:22,680 --> 00:06:26,479 Speaker 1: there is a scientific way to determine the causal links 111 00:06:26,560 --> 00:06:29,400 Speaker 1: of of what's been observed so that we don't kind 112 00:06:29,400 --> 00:06:33,719 Speaker 1: of conflate what maybe correlation or a number of events 113 00:06:33,760 --> 00:06:37,400 Speaker 1: that would happen when that many people I enter a program, 114 00:06:37,440 --> 00:06:40,320 Speaker 1: any vaccine program. Keep in mind, these are numbers that 115 00:06:40,800 --> 00:06:42,960 Speaker 1: generally we don't see, let alone in such a short 116 00:06:42,960 --> 00:06:45,960 Speaker 1: period of time. Maybe the flu vaccine is the is 117 00:06:46,000 --> 00:06:48,120 Speaker 1: one of the most abundantly used ones, and they don't 118 00:06:48,160 --> 00:06:50,440 Speaker 1: compare to the numbers that we're that we're getting to 119 00:06:50,920 --> 00:06:53,680 Speaker 1: h and so I think that the regulatory health agencies 120 00:06:53,680 --> 00:06:56,080 Speaker 1: have to follow these things and get at the fact. 121 00:06:56,440 --> 00:07:00,560 Speaker 1: In the meantime, speculation about this is completely onwul and 122 00:07:00,560 --> 00:07:03,960 Speaker 1: and it's rampant. There's a lot of expert speculation about 123 00:07:04,200 --> 00:07:06,200 Speaker 1: it could be this, it could be that, and and 124 00:07:06,279 --> 00:07:08,080 Speaker 1: I just think we have to keep in mind that 125 00:07:08,480 --> 00:07:11,400 Speaker 1: we're gonna need multiple vaccine types in order to do 126 00:07:11,440 --> 00:07:14,160 Speaker 1: the job. It's really important that we handle each of 127 00:07:14,160 --> 00:07:17,360 Speaker 1: them without in the meantime, E wrote in confidence. And 128 00:07:17,440 --> 00:07:19,880 Speaker 1: so I think people are doing the right thing. It 129 00:07:20,040 --> 00:07:22,640 Speaker 1: is up to each country to decide what they do 130 00:07:22,680 --> 00:07:25,120 Speaker 1: when they're gathering the fact. But I don't think anybody 131 00:07:25,160 --> 00:07:28,400 Speaker 1: should assume that when they suspend a distribution of vaccine 132 00:07:28,600 --> 00:07:30,800 Speaker 1: that therefore means there's something wrong with it. What it 133 00:07:30,920 --> 00:07:33,440 Speaker 1: means is that the process to figure that out takes 134 00:07:33,480 --> 00:07:36,000 Speaker 1: a little bit of time, and in that timeframe, they're 135 00:07:36,080 --> 00:07:40,360 Speaker 1: choosing to be safer because they're balancing the impact of 136 00:07:40,440 --> 00:07:45,600 Speaker 1: a vaccine helping avoid infections with the potential risk that 137 00:07:45,760 --> 00:07:49,360 Speaker 1: is perceived. And that's the decision they make. Even though 138 00:07:49,480 --> 00:07:53,560 Speaker 1: you're even though you founded the company and you're the chairman, 139 00:07:53,960 --> 00:07:57,360 Speaker 1: were you impressed with the speed of development as well? 140 00:07:57,440 --> 00:08:00,720 Speaker 1: I mean, um, you know you astounded the likes of 141 00:08:00,840 --> 00:08:04,400 Speaker 1: Bill Gates, who has a lot of experience in in vaccines, 142 00:08:04,680 --> 00:08:08,640 Speaker 1: and um, I wonder if you can use what you 143 00:08:08,800 --> 00:08:12,520 Speaker 1: found to develop other things as quickly as you did 144 00:08:12,680 --> 00:08:16,480 Speaker 1: with this. Well, there, there's a couple of ways I 145 00:08:16,520 --> 00:08:20,040 Speaker 1: can answer that question. And so the answers, as you 146 00:08:20,120 --> 00:08:22,760 Speaker 1: might expect, yes and no. And here's why. First of all, 147 00:08:22,960 --> 00:08:25,320 Speaker 1: you know, Madarna was founded ten years ago for the 148 00:08:25,400 --> 00:08:28,760 Speaker 1: express purpose of building a platform the likes of which 149 00:08:28,840 --> 00:08:32,079 Speaker 1: have never existed that, for the first time, makes an 150 00:08:32,160 --> 00:08:35,880 Speaker 1: information molecule and code molecule, a messenger on a into 151 00:08:35,960 --> 00:08:38,679 Speaker 1: a drug. We've never seen that before. All the drugs 152 00:08:38,760 --> 00:08:42,040 Speaker 1: we used today are chemicals and proteins. They don't have 153 00:08:42,320 --> 00:08:45,720 Speaker 1: the characteristic of an information molecule where you can change 154 00:08:45,760 --> 00:08:49,439 Speaker 1: the code, get a different protein at will, recombine use 155 00:08:49,520 --> 00:08:52,360 Speaker 1: the same pieces in a slightly different way. So kind 156 00:08:52,400 --> 00:08:54,920 Speaker 1: of the notion of having a bit programmable, these are 157 00:08:54,960 --> 00:08:58,439 Speaker 1: not things that have been available, and so speed of 158 00:08:58,960 --> 00:09:03,360 Speaker 1: of design implementation has always been an important part of 159 00:09:03,520 --> 00:09:06,560 Speaker 1: our platform. The ironic part is that it almost doesn't 160 00:09:06,600 --> 00:09:10,400 Speaker 1: matter in normal times pharmaceutical development, because you have to 161 00:09:10,480 --> 00:09:12,280 Speaker 1: hurry up and wait right so you can do all 162 00:09:12,320 --> 00:09:14,120 Speaker 1: these things quickly, and then you have to wait for 163 00:09:14,280 --> 00:09:17,319 Speaker 1: years and years of clinical testing and trial. But in 164 00:09:17,400 --> 00:09:21,439 Speaker 1: a pandemic, when we could test it so rapidly. Actually, 165 00:09:21,960 --> 00:09:25,360 Speaker 1: the speed of being able to offer a solution was 166 00:09:25,600 --> 00:09:29,640 Speaker 1: not surprising. What was surprising was that the subsequent steps 167 00:09:29,960 --> 00:09:32,120 Speaker 1: were done so quickly, and that took a lot of 168 00:09:32,200 --> 00:09:36,679 Speaker 1: coordination with NIH, with FDA, with many many entities. And 169 00:09:36,800 --> 00:09:39,160 Speaker 1: what was surprising was that the number of things that 170 00:09:39,240 --> 00:09:41,880 Speaker 1: could have gone wrong along the way, very little of 171 00:09:41,920 --> 00:09:47,240 Speaker 1: which we controlled once we made the actual vaccine product. Actually, uh, 172 00:09:47,440 --> 00:09:50,839 Speaker 1: let's say UM complied or or or or or or 173 00:09:51,320 --> 00:09:54,400 Speaker 1: went our way, if you will, as well as our 174 00:09:54,480 --> 00:09:56,599 Speaker 1: fiser and bantech so that we could get to the 175 00:09:56,679 --> 00:09:58,719 Speaker 1: other end of the road. That is kind of the 176 00:09:58,800 --> 00:10:01,880 Speaker 1: more gratifying, you know, you don't want to say surprising, 177 00:10:01,960 --> 00:10:04,400 Speaker 1: because you of course hope that that's the case, but 178 00:10:04,520 --> 00:10:06,640 Speaker 1: it hardly ever ends up that way. Yeah, hey, Dcor, 179 00:10:06,840 --> 00:10:09,160 Speaker 1: we just you know, real quick and love to get 180 00:10:09,200 --> 00:10:11,360 Speaker 1: your thoughts on Rubious Therapeutics. I know you're on the 181 00:10:11,400 --> 00:10:14,120 Speaker 1: board of that company, and that's how to significant cancer 182 00:10:14,200 --> 00:10:15,679 Speaker 1: break there if you could briefly just kind of tell 183 00:10:15,720 --> 00:10:19,280 Speaker 1: us what's going on there, very briefly. Rubious is part 184 00:10:19,320 --> 00:10:21,360 Speaker 1: of the family of companies that have emerged out of 185 00:10:21,679 --> 00:10:24,760 Speaker 1: flagship pioneering, as is Maderna with a common thread of 186 00:10:24,880 --> 00:10:27,480 Speaker 1: it being based on a platform. In that case, we 187 00:10:27,679 --> 00:10:30,480 Speaker 1: engineered for the first time red cells, red blood cells 188 00:10:30,840 --> 00:10:34,720 Speaker 1: that when we gave two cancer patients alert their immune 189 00:10:34,760 --> 00:10:36,800 Speaker 1: system and activate them to go after the cancer. And 190 00:10:36,880 --> 00:10:40,319 Speaker 1: just this Monday, we announced preliminary data from our phase 191 00:10:40,360 --> 00:10:43,360 Speaker 1: one trial that showed very clearly in solid tumors that 192 00:10:43,440 --> 00:10:47,959 Speaker 1: otherwise I have no immune uh responses, that suddenly with 193 00:10:48,080 --> 00:10:50,640 Speaker 1: these red cells that we've developed, we saw two of 194 00:10:50,760 --> 00:10:54,760 Speaker 1: them show partial responses, multiple other ones showing the markers 195 00:10:54,800 --> 00:10:58,079 Speaker 1: of immune activation. And that's a whole new ray of 196 00:10:58,200 --> 00:11:01,320 Speaker 1: hope for solid tumors that we could use the body's 197 00:11:01,320 --> 00:11:03,559 Speaker 1: immune system. The interesting thing is that it's the same 198 00:11:03,600 --> 00:11:08,160 Speaker 1: immune system that we're deploying against with vaccines against the infection, 199 00:11:08,600 --> 00:11:11,439 Speaker 1: also now being trained to go after cancer, and so 200 00:11:11,880 --> 00:11:14,160 Speaker 1: different platforms will go about this in different ways, but 201 00:11:14,520 --> 00:11:18,559 Speaker 1: quite encouraging preliminary information. All right, well, we really appreciate 202 00:11:18,600 --> 00:11:21,800 Speaker 1: your time. Again, I know you're very busy with things well, 203 00:11:22,000 --> 00:11:26,480 Speaker 1: saving the world basically, so much respect Dr new bar 204 00:11:26,559 --> 00:11:28,880 Speaker 1: if I, and thank you so much for joining us 205 00:11:29,000 --> 00:11:35,240 Speaker 1: the chairman of MODERNA and also the CEO flagship. Let's 206 00:11:35,240 --> 00:11:39,319 Speaker 1: focus in on rates right now. We have Ed Alusani, 207 00:11:39,600 --> 00:11:43,880 Speaker 1: senior interest rate and Currency analyst at Columbia thread Needle 208 00:11:44,240 --> 00:11:48,040 Speaker 1: and Ed we're looking at right now at UM rates 209 00:11:48,120 --> 00:11:51,480 Speaker 1: that are all rising as investors sell off bonds. The 210 00:11:51,600 --> 00:11:55,120 Speaker 1: US tenure trading at one sixties six right now, the 211 00:11:55,240 --> 00:11:58,880 Speaker 1: thirty year at two forty almost two forty two. UM. 212 00:11:59,120 --> 00:12:02,920 Speaker 1: What do you expect for Drone Powell today? Yeah, it's 213 00:12:02,920 --> 00:12:05,040 Speaker 1: gonna be an interesting meeting. I mean, what markets are 214 00:12:05,120 --> 00:12:08,760 Speaker 1: essentially pricing is less doubt. Uh, There's less doubt around 215 00:12:08,800 --> 00:12:12,319 Speaker 1: the growth outlook in terms of growth improving in the 216 00:12:12,400 --> 00:12:14,840 Speaker 1: course of this year next year. There's less doubt about 217 00:12:15,040 --> 00:12:18,200 Speaker 1: the employment outlook in terms of the FED being able 218 00:12:18,240 --> 00:12:22,959 Speaker 1: to hit the maximum employment bogies over the next you know, 219 00:12:23,080 --> 00:12:26,480 Speaker 1: twoss to eighteen months and and start tapering. And there's 220 00:12:26,559 --> 00:12:28,719 Speaker 1: less doubt about the FED being able to meet its 221 00:12:28,760 --> 00:12:33,479 Speaker 1: inflation mandate UM, getting inflation to overshoot, anchoring inflation expectations 222 00:12:33,640 --> 00:12:37,400 Speaker 1: higher UM, and that's moving the entire rates complex higher. 223 00:12:37,520 --> 00:12:39,840 Speaker 1: And I think Power is going to have a tricky 224 00:12:40,160 --> 00:12:46,240 Speaker 1: communication problem here because the forecast, the economic projections you know, 225 00:12:46,360 --> 00:12:49,120 Speaker 1: by and large are going to reflect some of these trends. 226 00:12:49,160 --> 00:12:52,840 Speaker 1: Particularly in employment and growth. I think there's a question 227 00:12:52,880 --> 00:12:57,240 Speaker 1: mark around inflation and the communication challenges. UM, how do 228 00:12:57,320 --> 00:13:01,320 Speaker 1: you guide uh that funds rates or expectations for FED 229 00:13:01,360 --> 00:13:05,760 Speaker 1: funds rates in an environment where UM risks are starting 230 00:13:05,800 --> 00:13:07,839 Speaker 1: to scow to the upside UM and that's that's a 231 00:13:07,840 --> 00:13:10,560 Speaker 1: difficult spot for them. Yeah. So, I mean it does 232 00:13:10,760 --> 00:13:13,880 Speaker 1: the chairman run the risk of the market kind of 233 00:13:14,800 --> 00:13:17,319 Speaker 1: moving past him. I mean, it seems like he's going 234 00:13:17,400 --> 00:13:20,400 Speaker 1: to have to acknowledge what we're seeing in the marketplace today. 235 00:13:20,480 --> 00:13:24,760 Speaker 1: But I know that's a tight rope to walk. Yeah, 236 00:13:24,800 --> 00:13:26,559 Speaker 1: I mean, that's that's definitely a risk. You know, the 237 00:13:26,640 --> 00:13:29,640 Speaker 1: market participants of the way, like like ourselves, we're single 238 00:13:29,679 --> 00:13:34,640 Speaker 1: cell organisms. We uh, we don't we we we don't 239 00:13:34,760 --> 00:13:38,439 Speaker 1: parse this stuff, um at the level of details that 240 00:13:38,520 --> 00:13:42,040 Speaker 1: I think the FED expects us too. And UM. You know, 241 00:13:42,160 --> 00:13:44,679 Speaker 1: markets have started front running this in the course of 242 00:13:44,720 --> 00:13:47,480 Speaker 1: the past you know, four to five months, we've started 243 00:13:47,520 --> 00:13:50,920 Speaker 1: to bring forward the hiking cycle as the outlook for 244 00:13:51,160 --> 00:13:54,720 Speaker 1: for growth and inflation improved in in the last quarter 245 00:13:54,840 --> 00:13:59,600 Speaker 1: of UM. Now and you see, by the way, by 246 00:13:59,640 --> 00:14:03,480 Speaker 1: the way, you see a seventy chance that the FED 247 00:14:03,559 --> 00:14:07,440 Speaker 1: will hike at the end of two so even you're 248 00:14:07,480 --> 00:14:11,199 Speaker 1: bringing it into next year. Well that those are the 249 00:14:11,240 --> 00:14:14,120 Speaker 1: odds that are in in the swaps. So those are 250 00:14:14,160 --> 00:14:19,320 Speaker 1: the market odds, UM that are currently in the price. Yeah, 251 00:14:19,400 --> 00:14:22,240 Speaker 1: so that's market pricing. You know, from my perspective, that's 252 00:14:22,320 --> 00:14:26,160 Speaker 1: that's quite aggressive. That leaves the Fed absolutely no room 253 00:14:26,280 --> 00:14:30,240 Speaker 1: for error in terms of achieving its inflation UH targets 254 00:14:30,440 --> 00:14:32,840 Speaker 1: and UH you know, let's let's take a step back. 255 00:14:33,040 --> 00:14:34,720 Speaker 1: The set has not achieved them in the course of 256 00:14:34,760 --> 00:14:38,800 Speaker 1: the past twenty five years. UM. Coming out of recession 257 00:14:38,960 --> 00:14:42,600 Speaker 1: and being able to hit these bogies within you know, 258 00:14:42,680 --> 00:14:46,680 Speaker 1: twelve twenty four months of a relatively deep recession, UH 259 00:14:46,880 --> 00:14:50,160 Speaker 1: would would really be quite extraordinary. End. So the markets 260 00:14:50,200 --> 00:14:52,800 Speaker 1: are pricing an exceptionally positive scenario for the FED in 261 00:14:52,840 --> 00:14:56,880 Speaker 1: the moment. Alright, ed, how about on the bond purchasing activity. 262 00:14:57,240 --> 00:15:00,240 Speaker 1: What kind of messaging do you think we will here 263 00:15:00,320 --> 00:15:05,480 Speaker 1: out of Chairman Pal today. I don't think we'll hear anything. Um. 264 00:15:06,160 --> 00:15:09,800 Speaker 1: You know, guidance for the balance sheet has been anchored 265 00:15:09,880 --> 00:15:13,560 Speaker 1: by UM, you know, essentially this this this few that 266 00:15:13,640 --> 00:15:17,040 Speaker 1: they need to see substantial further progress in quotation marks 267 00:15:17,520 --> 00:15:23,120 Speaker 1: UM around improvement in the economy, both in labor and inflation. UM. 268 00:15:23,400 --> 00:15:27,160 Speaker 1: They've been exceptionally vague by by design around this, and 269 00:15:27,440 --> 00:15:30,240 Speaker 1: there's no indications that they need to adjust or that 270 00:15:30,280 --> 00:15:33,600 Speaker 1: they're willing to adjust this guidance UM at this stage. 271 00:15:33,640 --> 00:15:36,000 Speaker 1: You know, the threshold in my mind on that front 272 00:15:36,080 --> 00:15:39,560 Speaker 1: really remains whether there's there's a spillover from rates markets 273 00:15:40,160 --> 00:15:43,600 Speaker 1: into credit. If if credit spreads start to widen, financial 274 00:15:43,680 --> 00:15:48,280 Speaker 1: conditions start to tighten, particularly that happens in the distorterly way. UM, 275 00:15:48,520 --> 00:15:51,760 Speaker 1: there's a really good reason uh to I think engage 276 00:15:51,800 --> 00:15:54,840 Speaker 1: in in in strengthening guidance for the balance sheet or 277 00:15:54,880 --> 00:15:58,440 Speaker 1: maybe increasing purchases UM. At the moment, they have shown 278 00:15:58,480 --> 00:16:02,040 Speaker 1: no appetite to do that, uh, And I personally think that's, uh, 279 00:16:02,160 --> 00:16:03,680 Speaker 1: that's a little bit of an error on their part. 280 00:16:04,200 --> 00:16:07,000 Speaker 1: I mean, Bill Gross told Eric Shatzker in an interview 281 00:16:07,560 --> 00:16:13,440 Speaker 1: yesterday that he's been shorting the tenure um and we'll 282 00:16:13,520 --> 00:16:16,680 Speaker 1: continue to because he thinks the FED is gonna see 283 00:16:18,080 --> 00:16:21,640 Speaker 1: a jump in inflation to three to four plus per 284 00:16:21,720 --> 00:16:26,680 Speaker 1: cent um. And his point was, look, if if Powell 285 00:16:26,720 --> 00:16:29,320 Speaker 1: sees that for six to twelve months, it's going to 286 00:16:29,400 --> 00:16:33,360 Speaker 1: be difficult to hold the line. Well, I'll say, I'll say, 287 00:16:33,440 --> 00:16:36,920 Speaker 1: you know two things. Um. You know, the first, congratulations 288 00:16:36,920 --> 00:16:40,760 Speaker 1: to Bill Gross, but to um all the trades he 289 00:16:40,800 --> 00:16:45,440 Speaker 1: told us about, We're winners by the way. UM. Well, 290 00:16:45,760 --> 00:16:49,200 Speaker 1: so let let me let me give you some some 291 00:16:49,360 --> 00:16:52,400 Speaker 1: some weight to Powell's guidance. Powell has been pretty explicit 292 00:16:53,120 --> 00:16:56,840 Speaker 1: in saying that inflation will likely move up this year. 293 00:16:57,360 --> 00:16:59,280 Speaker 1: We have really good reasons for that to happen and 294 00:16:59,360 --> 00:17:01,920 Speaker 1: to have cod fence around that, and that's really base 295 00:17:01,960 --> 00:17:05,240 Speaker 1: effects from last year and the economy reopening, and there 296 00:17:05,280 --> 00:17:09,240 Speaker 1: are being some some pricing power, particularly in services. UM. 297 00:17:09,560 --> 00:17:12,320 Speaker 1: He's also been very very clear that the Fed is 298 00:17:12,359 --> 00:17:16,000 Speaker 1: going to view pretty much all of the inflation developments 299 00:17:16,080 --> 00:17:20,640 Speaker 1: this year as transitory. So um, you know, the Fed 300 00:17:20,720 --> 00:17:23,760 Speaker 1: seeing you know, three to four percent prints over the 301 00:17:23,880 --> 00:17:27,920 Speaker 1: next quarter in in in headline, CPI UH is not 302 00:17:28,080 --> 00:17:30,720 Speaker 1: going to change their reaction function. They have three committed 303 00:17:30,800 --> 00:17:34,520 Speaker 1: to not doing that. Now. Markets are obviously front running that. 304 00:17:34,760 --> 00:17:36,800 Speaker 1: We have been front running it now for the better 305 00:17:36,880 --> 00:17:39,560 Speaker 1: part of the last six months. And the question is 306 00:17:39,600 --> 00:17:43,800 Speaker 1: how much is enough? Um? The ultimate test Alright, we're 307 00:17:43,800 --> 00:17:45,240 Speaker 1: gonna We're gonna have to leave it there because the 308 00:17:45,320 --> 00:17:47,399 Speaker 1: time but that we'll touch base with you again as 309 00:17:47,480 --> 00:17:50,199 Speaker 1: we like to do. Ed Al Husseini Senior Interest Rate 310 00:17:50,240 --> 00:17:54,879 Speaker 1: and Currency Annalysts for Columbia Threat Needle Investments. Not only 311 00:17:55,160 --> 00:17:59,040 Speaker 1: is this guy one of my favorite Bloomberg reporters, he's 312 00:17:59,080 --> 00:18:03,320 Speaker 1: my mom's favorite at Bloomberg Reporter. That's big. Max Abelson 313 00:18:03,440 --> 00:18:05,480 Speaker 1: joins us now with a piece that he has written 314 00:18:05,640 --> 00:18:09,280 Speaker 1: on Donald Trump's fortune falling to two point three billion. 315 00:18:09,560 --> 00:18:11,600 Speaker 1: I gotta say, Max, when I first read this, I thought, 316 00:18:11,760 --> 00:18:15,840 Speaker 1: Pierre right, he has two point three billion dollars. You know, 317 00:18:16,000 --> 00:18:18,600 Speaker 1: it's really important to remember that. You know, the guy 318 00:18:18,840 --> 00:18:23,440 Speaker 1: is not like ten billion dollar worth the character he 319 00:18:23,520 --> 00:18:25,600 Speaker 1: thinks he is, but he really is worth something. And 320 00:18:25,920 --> 00:18:28,040 Speaker 1: that's why it's fun to work with people like Sophie 321 00:18:28,040 --> 00:18:31,680 Speaker 1: Alexander and Andrew Tarter uh and and the Bloomberg Data team, 322 00:18:31,720 --> 00:18:35,560 Speaker 1: because you know, we we use financial findings and um 323 00:18:35,800 --> 00:18:38,959 Speaker 1: loan documents and interviews with executives to really take an 324 00:18:39,080 --> 00:18:42,960 Speaker 1: honest look um and you know, the reality is in 325 00:18:43,080 --> 00:18:45,119 Speaker 1: honest look shows that the man is in trouble. But 326 00:18:45,200 --> 00:18:47,200 Speaker 1: before I say another word, I just have to tell 327 00:18:47,240 --> 00:18:49,840 Speaker 1: you how happy I'm to hear your voice and to 328 00:18:50,000 --> 00:18:53,959 Speaker 1: know your mother likes my journalism, and you know it's 329 00:18:54,040 --> 00:18:55,640 Speaker 1: it's it's fun for me to be able to work 330 00:18:55,640 --> 00:18:57,200 Speaker 1: on stories like this one. We we really had a 331 00:18:57,280 --> 00:18:59,320 Speaker 1: good time working on this. How people take a look 332 00:18:59,320 --> 00:19:01,240 Speaker 1: because it's a it's a it's a deep story and 333 00:19:01,280 --> 00:19:04,560 Speaker 1: a detailed story, but it's also really a fun one. Yeah, Max, 334 00:19:04,640 --> 00:19:06,440 Speaker 1: What I love about the story not just is the 335 00:19:06,520 --> 00:19:08,760 Speaker 1: content and the great writing, but the use of graphics 336 00:19:08,840 --> 00:19:11,840 Speaker 1: you guys had here, and it really break down, you know, 337 00:19:11,920 --> 00:19:14,720 Speaker 1: the different buckets of his assets and the and the 338 00:19:14,840 --> 00:19:17,120 Speaker 1: debt associated with that those assets. You get a sense 339 00:19:17,160 --> 00:19:20,080 Speaker 1: of what's happened to the value of those assets as 340 00:19:20,160 --> 00:19:22,639 Speaker 1: well as the income. One part of your story that 341 00:19:22,840 --> 00:19:24,720 Speaker 1: really jumped out of me, Max, as you talk about 342 00:19:24,840 --> 00:19:27,000 Speaker 1: he's got some debt coming due over the next several 343 00:19:27,160 --> 00:19:29,920 Speaker 1: years and uh, there's not a lot of support for 344 00:19:30,119 --> 00:19:33,240 Speaker 1: the Trump organization in the big banking circles. How do 345 00:19:33,280 --> 00:19:36,480 Speaker 1: you think that might play out? It is? It is 346 00:19:36,560 --> 00:19:39,080 Speaker 1: just so important. First of all, big shout out to 347 00:19:39,160 --> 00:19:41,720 Speaker 1: the design and development team that worked on on this 348 00:19:41,880 --> 00:19:44,680 Speaker 1: with us. I mean, it's you know, journalism is fun, 349 00:19:44,960 --> 00:19:48,159 Speaker 1: but it's made so much more vivid and interesting when 350 00:19:48,200 --> 00:19:51,080 Speaker 1: you get to work with data visualization specialists like the 351 00:19:51,119 --> 00:19:52,840 Speaker 1: ones we have a Bloomberg. It just makes it so 352 00:19:52,920 --> 00:19:55,119 Speaker 1: much fun to be a reporter when you're surrounded with 353 00:19:55,720 --> 00:19:59,040 Speaker 1: so much talent and and what they help us illustrate 354 00:19:59,200 --> 00:20:01,680 Speaker 1: and bring to life and make three dimensional is that 355 00:20:01,920 --> 00:20:05,560 Speaker 1: he has a debt problem. I mean, not only does 356 00:20:05,600 --> 00:20:07,920 Speaker 1: he have hundreds of millions of dollars of loans coming 357 00:20:08,000 --> 00:20:11,040 Speaker 1: do he's personally on the hook for a for a 358 00:20:11,080 --> 00:20:14,160 Speaker 1: pretty good chunk of that. And then what's really extraordinary, 359 00:20:14,359 --> 00:20:16,960 Speaker 1: because look, the reality is a lot of business people 360 00:20:17,000 --> 00:20:18,680 Speaker 1: have debt coming to a lot of business people have 361 00:20:18,800 --> 00:20:21,240 Speaker 1: hundreds of millions of debt. A lot of business people 362 00:20:21,640 --> 00:20:24,960 Speaker 1: even have some personally guaranteed debt. What's so unusual about 363 00:20:25,000 --> 00:20:28,960 Speaker 1: Donald Trump is in the wake of the capital riot, 364 00:20:29,440 --> 00:20:31,800 Speaker 1: you saw banks like Dout your bank stand up and 365 00:20:31,840 --> 00:20:33,880 Speaker 1: say we are not going to do business with you anymore. 366 00:20:34,119 --> 00:20:36,000 Speaker 1: And that is not good. You do not want to 367 00:20:36,040 --> 00:20:38,720 Speaker 1: have hundreds of millions of dollars of personally guaranteed debt 368 00:20:39,000 --> 00:20:41,600 Speaker 1: and to have major global banks, you know, holding their 369 00:20:41,640 --> 00:20:43,000 Speaker 1: nose and saying we're not going to work with you. 370 00:20:43,280 --> 00:20:45,680 Speaker 1: So Donald Trump is going to rebound and you know what, 371 00:20:45,840 --> 00:20:47,920 Speaker 1: you can't discount that because Donald Trump has been in 372 00:20:47,960 --> 00:20:51,119 Speaker 1: trouble before and Donald Trump has rebounded before. So no 373 00:20:51,240 --> 00:20:53,400 Speaker 1: one should count this man now, no matter what they say, 374 00:20:53,520 --> 00:20:55,560 Speaker 1: no one should count this man out. But if he 375 00:20:55,720 --> 00:20:58,280 Speaker 1: is going to rebound, figuring out that debt is going 376 00:20:58,320 --> 00:21:00,879 Speaker 1: to be really important, and so well figuring out how 377 00:21:00,960 --> 00:21:03,080 Speaker 1: we can start making money, making money again in hotels. 378 00:21:03,119 --> 00:21:05,479 Speaker 1: I mean, Trump said, you know, the pandemic would disappear 379 00:21:05,480 --> 00:21:07,680 Speaker 1: like a miracle, and it hasn't. And that is not 380 00:21:07,960 --> 00:21:10,400 Speaker 1: good for someone with so much real estate and someone 381 00:21:10,440 --> 00:21:13,760 Speaker 1: with so many hotels. It's not just the banks that 382 00:21:13,920 --> 00:21:18,480 Speaker 1: have stopped working with him, right, Umkushman and Wakefield you wrote, 383 00:21:19,320 --> 00:21:23,040 Speaker 1: used to handle leasing for the Art Deco building downtown. Uh, 384 00:21:23,160 --> 00:21:27,040 Speaker 1: they don't anymore. Steve Roth, I wonder the guy who 385 00:21:27,119 --> 00:21:31,720 Speaker 1: runs Bornado he um explored a sale of the company 386 00:21:32,119 --> 00:21:36,399 Speaker 1: that runs those those buildings, is he gonna still want 387 00:21:36,440 --> 00:21:38,600 Speaker 1: to work with Donald Trump? Is the p g A 388 00:21:38,760 --> 00:21:40,680 Speaker 1: gonna want to ever work with Donald Trump again? I 389 00:21:40,720 --> 00:21:43,679 Speaker 1: mean a lot of these other parties no longer want 390 00:21:43,720 --> 00:21:47,840 Speaker 1: to be associated since the riot. Well, you know, I 391 00:21:47,920 --> 00:21:50,879 Speaker 1: think it's helpful to do what Trump sometimes doesn't do, 392 00:21:51,040 --> 00:21:53,920 Speaker 1: which is to be sort of really specific and and 393 00:21:54,040 --> 00:21:55,520 Speaker 1: to take things sort of one thing at a time. 394 00:21:55,560 --> 00:21:58,320 Speaker 1: So with p G A, if you're absolutely right, the 395 00:21:58,400 --> 00:22:01,840 Speaker 1: PGA of America, you know, um got rid of a 396 00:22:01,960 --> 00:22:04,040 Speaker 1: tournament next year. Um that was going to be a 397 00:22:04,119 --> 00:22:07,800 Speaker 1: Bedminster you know what, that's right, But you know what, 398 00:22:07,960 --> 00:22:11,080 Speaker 1: they had backed out of one golf tournament years ago, 399 00:22:11,240 --> 00:22:12,960 Speaker 1: and and then and then they got back into business 400 00:22:13,000 --> 00:22:15,360 Speaker 1: with him. So when it comes to golf, maybe we'll 401 00:22:15,400 --> 00:22:18,240 Speaker 1: see as the years go on, maybe maybe maybe golf 402 00:22:18,400 --> 00:22:20,640 Speaker 1: golf will will get get back with him. But then 403 00:22:20,800 --> 00:22:23,800 Speaker 1: but then there's a question of what happens with his brand. 404 00:22:24,040 --> 00:22:26,440 Speaker 1: You know what, Will he figure out a way of 405 00:22:26,800 --> 00:22:30,639 Speaker 1: getting seventy four million voters to become customers in a 406 00:22:30,680 --> 00:22:33,560 Speaker 1: way that bullies his business? You know that that's a possibility, 407 00:22:33,800 --> 00:22:35,520 Speaker 1: but he's gonna have to figure it out because there 408 00:22:35,600 --> 00:22:38,200 Speaker 1: isn't a natural path to getting seventy four million people 409 00:22:38,240 --> 00:22:42,119 Speaker 1: into you know, very expensive hotels or very expensive clubs 410 00:22:42,200 --> 00:22:44,600 Speaker 1: or very expensive golf courses. And then when you asked 411 00:22:44,640 --> 00:22:48,160 Speaker 1: about Tornado, you know the reality is that Lornado has 412 00:22:48,280 --> 00:22:50,200 Speaker 1: not thrown up their hands and said we're going to 413 00:22:50,240 --> 00:22:52,200 Speaker 1: stop being in business with Trump. But what they have 414 00:22:52,480 --> 00:22:56,720 Speaker 1: said is that they've looked at putting um these two 415 00:22:56,920 --> 00:22:59,280 Speaker 1: very big towers that are a huge part of Trump's 416 00:22:59,320 --> 00:23:02,040 Speaker 1: net worth on the market. So one thing that that 417 00:23:02,119 --> 00:23:04,359 Speaker 1: Bloomberg leaders and listeners should be on the lookout for 418 00:23:04,800 --> 00:23:07,280 Speaker 1: is what happens to those tornado towers wanted to Francisco 419 00:23:07,359 --> 00:23:09,400 Speaker 1: and one in New York. They may hold the key 420 00:23:09,760 --> 00:23:13,280 Speaker 1: to the future of Trump's business. Fascinating. Hey, Max, thank 421 00:23:13,280 --> 00:23:15,600 Speaker 1: you so much for joining us. Kudos to you and 422 00:23:15,920 --> 00:23:19,359 Speaker 1: your team for putting this great piece out. Max Abelson, uh, 423 00:23:19,400 --> 00:23:23,080 Speaker 1: he is Bloomberg finance reporter. Really a detailed look at 424 00:23:23,280 --> 00:23:27,240 Speaker 1: the finances former President Donald Trump. Again pegging the value 425 00:23:27,280 --> 00:23:30,240 Speaker 1: it's something about two point three billion dollars net worth 426 00:23:30,720 --> 00:23:33,560 Speaker 1: UM and that's you know, partially done by the Bloomberg 427 00:23:33,560 --> 00:23:36,800 Speaker 1: Billionaires Index, which is rich go one of my favorite functions. Met. 428 00:23:37,520 --> 00:23:40,360 Speaker 1: I actually got to say, you know, I love scrolling 429 00:23:40,400 --> 00:23:43,359 Speaker 1: through Max's ticker. I remember about six years ago you 430 00:23:43,400 --> 00:23:46,719 Speaker 1: did a story on an undocumented woman from Mexico who 431 00:23:46,840 --> 00:23:49,359 Speaker 1: made it all the way through, jumped to every hoop 432 00:23:49,480 --> 00:23:52,640 Speaker 1: and became a star employee at Goldman Sachs and it's 433 00:23:52,680 --> 00:23:56,080 Speaker 1: just written so well and researched so well. Um, it's 434 00:23:56,119 --> 00:23:58,400 Speaker 1: just it's really touching work. And and then of course 435 00:23:58,560 --> 00:24:01,720 Speaker 1: these fun pieces like the one he's written on Trump. 436 00:24:02,119 --> 00:24:07,199 Speaker 1: You can check that out on Bloomberg dot com. All right, 437 00:24:07,280 --> 00:24:10,520 Speaker 1: we are going to talk about something pretty exciting for 438 00:24:11,080 --> 00:24:13,440 Speaker 1: from my point of view, from from your point of 439 00:24:13,520 --> 00:24:17,239 Speaker 1: view as well. M Paul. You're a car guy, so um. 440 00:24:17,320 --> 00:24:19,040 Speaker 1: We've got Chris Bryant coming on. He's one of my 441 00:24:19,119 --> 00:24:21,760 Speaker 1: favorite opinion calumnists and he writes a lot about cars. 442 00:24:21,800 --> 00:24:24,119 Speaker 1: I'm looking forward to that. All right, let's go to 443 00:24:24,440 --> 00:24:29,399 Speaker 1: a Chris right now. Chris uh, Chris bryan he's colums 444 00:24:29,440 --> 00:24:33,199 Speaker 1: covering industrial companies for Bloomberg Opinion. Chris, thanks so much 445 00:24:33,200 --> 00:24:36,600 Speaker 1: for joining us here. Talk to us about the news 446 00:24:36,760 --> 00:24:41,440 Speaker 1: coming out of Germany. Volkswagen is the latest of the 447 00:24:41,520 --> 00:24:44,800 Speaker 1: traditional auto companies to really put their chips in the 448 00:24:44,840 --> 00:24:46,879 Speaker 1: middle of the table on EVS. Tell us what's going 449 00:24:46,920 --> 00:24:51,880 Speaker 1: on there, chips, Well, high, guys, and and and long 450 00:24:51,960 --> 00:24:54,880 Speaker 1: story short, it's you know, folks bag into the moon, 451 00:24:55,400 --> 00:24:58,600 Speaker 1: absolutely extraordinary. Remember this is you know, one of the 452 00:24:58,720 --> 00:25:03,120 Speaker 1: Germany's most established an important industrial companies in it Saffrance 453 00:25:03,160 --> 00:25:06,399 Speaker 1: has pretty much done nothing over the last decade or so, 454 00:25:07,320 --> 00:25:10,399 Speaker 1: and suddenly, uh, you know, just this year, and in 455 00:25:10,480 --> 00:25:12,440 Speaker 1: particular in the last few days, it's been off to 456 00:25:12,480 --> 00:25:15,280 Speaker 1: the races. And so far this year the stock now 457 00:25:15,400 --> 00:25:19,960 Speaker 1: up fifty percent or so, billions and billions of market 458 00:25:20,040 --> 00:25:25,160 Speaker 1: cap added after Herbert Dee the CEO, announced some pretty 459 00:25:25,200 --> 00:25:29,600 Speaker 1: exciting electric vehicle plans, really taking the battle to Tesla. 460 00:25:30,160 --> 00:25:32,159 Speaker 1: And I was writing today as well, also sort of 461 00:25:32,240 --> 00:25:35,760 Speaker 1: copying some of the ways that Mask has managed to 462 00:25:36,320 --> 00:25:39,720 Speaker 1: attract excitement for his own company. And what you've seen, 463 00:25:39,760 --> 00:25:42,000 Speaker 1: as to say, is is Fox barking off to the 464 00:25:42,119 --> 00:25:45,720 Speaker 1: races now and Tesla suffering a bit real reversal of 465 00:25:45,960 --> 00:25:47,720 Speaker 1: the trend we've seen over the past year or so. 466 00:25:48,320 --> 00:25:50,320 Speaker 1: I spoke to Herbert DEECEE as well, No big deal, 467 00:25:50,520 --> 00:25:54,520 Speaker 1: We talked sometimes, and um, you know the interesting thing is, 468 00:25:54,600 --> 00:25:57,000 Speaker 1: I I asked him, does it make sense that you're 469 00:25:57,040 --> 00:26:00,520 Speaker 1: only worth a hundred and thirty billion only? Uh? And 470 00:26:00,680 --> 00:26:05,240 Speaker 1: and Tesla is worth six hundred and sixty billion dollars 471 00:26:05,400 --> 00:26:09,119 Speaker 1: in market cap. I mean, Tesla only sold half a 472 00:26:09,200 --> 00:26:13,280 Speaker 1: million cars last year and Folkswagen is gonna sell a 473 00:26:13,400 --> 00:26:16,679 Speaker 1: million evs this year among the I don't know how 474 00:26:16,720 --> 00:26:20,920 Speaker 1: many ten twelve million cars they sell in total. So um. 475 00:26:21,480 --> 00:26:24,000 Speaker 1: But the question I had, Chris, do you think that 476 00:26:24,600 --> 00:26:27,959 Speaker 1: Folkswagen's market cap rises to that of Tesla or does 477 00:26:28,080 --> 00:26:32,320 Speaker 1: Tesla's market cap just need to come down? Oh? If 478 00:26:32,359 --> 00:26:34,080 Speaker 1: I need to the answer to that, I'd be a 479 00:26:34,200 --> 00:26:37,440 Speaker 1: wealthier man than I am. I bet you have I 480 00:26:37,560 --> 00:26:39,399 Speaker 1: bet you have a view though, right, I mean, is 481 00:26:39,920 --> 00:26:42,520 Speaker 1: is a car maker really going to be worth that much? 482 00:26:42,560 --> 00:26:46,320 Speaker 1: Where are the margins coming from? I think you know 483 00:26:46,440 --> 00:26:50,040 Speaker 1: what's been remarkable after the last few years is a Folkswagen, 484 00:26:50,240 --> 00:26:53,679 Speaker 1: as you say, huge the uh you know, massive company 485 00:26:53,680 --> 00:26:57,159 Speaker 1: acques revenues, big profits, cash flows, and it's valued at 486 00:26:57,160 --> 00:27:00,520 Speaker 1: about nine times earnings. And yet you have a company Heller, 487 00:27:01,160 --> 00:27:05,400 Speaker 1: which in all fantasies company is really great technology, really 488 00:27:05,480 --> 00:27:08,520 Speaker 1: fast growing, not a lot of profit and and valued 489 00:27:08,560 --> 00:27:11,840 Speaker 1: that's totally different multiple and and this divergence has existed 490 00:27:11,880 --> 00:27:15,120 Speaker 1: for a long time, and I think people who bought 491 00:27:15,160 --> 00:27:18,159 Speaker 1: shares in the established European car makers kind of assumed 492 00:27:18,200 --> 00:27:20,600 Speaker 1: that it would never change. And that's the exciting thing 493 00:27:20,680 --> 00:27:22,639 Speaker 1: that's happened over the last few days that really have 494 00:27:22,800 --> 00:27:25,360 Speaker 1: seen to change now, and even you've got some retail 495 00:27:25,480 --> 00:27:28,800 Speaker 1: buying of folxwagon stock out of the United States, which 496 00:27:29,000 --> 00:27:33,000 Speaker 1: might be influencing the The out performance of the ordinary 497 00:27:33,040 --> 00:27:36,359 Speaker 1: share has a bit compregated, but analysts do think that 498 00:27:36,560 --> 00:27:38,960 Speaker 1: actually some retail buying is going on here, and that's 499 00:27:39,000 --> 00:27:42,639 Speaker 1: pretty extraordinary, isn't it. You know, Reddit type amateur invested 500 00:27:42,640 --> 00:27:45,679 Speaker 1: in the United States buying Folx Wagner ship. I mean, 501 00:27:45,760 --> 00:27:48,320 Speaker 1: who'd have thought it, but it's happened. Maybe Cathy would. 502 00:27:48,760 --> 00:27:52,159 Speaker 1: Actually there's a little um E t F that follows 503 00:27:52,240 --> 00:27:58,080 Speaker 1: the same formula as ARC called Moon. It's called Moon, 504 00:27:59,520 --> 00:28:01,440 Speaker 1: right because Wall Street bets guys like to the Moon. 505 00:28:01,480 --> 00:28:05,800 Speaker 1: And actually it's outperformed art by ten times this year. Hey, Chris, 506 00:28:05,880 --> 00:28:08,880 Speaker 1: what's the I guess what a lot of these traditional 507 00:28:08,960 --> 00:28:11,720 Speaker 1: auto companies are trying to gauge and have been trying 508 00:28:11,800 --> 00:28:14,320 Speaker 1: to gauge, is just how big is the demand for 509 00:28:14,560 --> 00:28:18,040 Speaker 1: electric vehicles? Give us your sense of what you're hearing 510 00:28:18,080 --> 00:28:22,600 Speaker 1: and seeing in Europe. Well, obviously in in Europe the 511 00:28:22,680 --> 00:28:25,000 Speaker 1: market is really taken off over the past year, and 512 00:28:25,080 --> 00:28:27,200 Speaker 1: that's partly because you've had governments, you know, sort of 513 00:28:27,240 --> 00:28:30,359 Speaker 1: demanding that happened, and offering incentives and so forth, and 514 00:28:30,480 --> 00:28:32,960 Speaker 1: you've seen that, you know, the market responded, and for 515 00:28:33,040 --> 00:28:34,880 Speaker 1: a long time there's there was a perception, I think 516 00:28:34,920 --> 00:28:37,000 Speaker 1: in the investment world that Tesla was the only game 517 00:28:37,040 --> 00:28:39,080 Speaker 1: in town. But what we've seen as the European car 518 00:28:39,160 --> 00:28:41,640 Speaker 1: make has really come out with a lot of models 519 00:28:41,680 --> 00:28:45,000 Speaker 1: recently in order to meet their Redditstree compliance obligations in 520 00:28:45,120 --> 00:28:48,320 Speaker 1: terms of emissions and as such. You know, Tessler really 521 00:28:48,400 --> 00:28:50,480 Speaker 1: wasn't you know, number one in Europe last Yeah, I 522 00:28:50,480 --> 00:28:53,200 Speaker 1: think folks about group as a whole was the biggest 523 00:28:53,840 --> 00:28:56,400 Speaker 1: and now expects I think, you know, analysts is saying 524 00:28:56,400 --> 00:28:58,320 Speaker 1: within a couple of years will probably be the biggest 525 00:28:58,360 --> 00:29:01,719 Speaker 1: globally and that thus shouldn't really surprise you. I mean, 526 00:29:01,760 --> 00:29:04,280 Speaker 1: it's a company that sells ten million vehicles a year. 527 00:29:04,640 --> 00:29:06,280 Speaker 1: It's said that you know, half of those are going 528 00:29:06,320 --> 00:29:09,600 Speaker 1: to be electric byty, and if that's the case, and 529 00:29:09,680 --> 00:29:11,880 Speaker 1: with the kind of muscle and financial power that this 530 00:29:12,040 --> 00:29:14,600 Speaker 1: company has, then then really, you know, they should be 531 00:29:14,680 --> 00:29:17,560 Speaker 1: a competitive Testler. The problem has always been that they 532 00:29:17,600 --> 00:29:20,600 Speaker 1: were a little bit you know, pre occupied with themselves, 533 00:29:20,640 --> 00:29:23,120 Speaker 1: a little bit too caught up with the government's problems, 534 00:29:23,480 --> 00:29:24,920 Speaker 1: And for a long time, you know, I didn't really 535 00:29:24,960 --> 00:29:27,680 Speaker 1: take electric vehicles seriously, and and now they are. They're 536 00:29:27,680 --> 00:29:30,959 Speaker 1: putting the finance shot muscle behind it, and and frankly, 537 00:29:30,960 --> 00:29:33,000 Speaker 1: you know, it's quite impressive what they're promising in terms 538 00:29:33,040 --> 00:29:36,040 Speaker 1: of battery spectories and models over the next few years. Chase, 539 00:29:36,080 --> 00:29:38,320 Speaker 1: if you your long lost uncle dies leaves you fifty 540 00:29:38,360 --> 00:29:40,760 Speaker 1: grand right now, you need a car, would you buy 541 00:29:42,000 --> 00:29:45,560 Speaker 1: electric vehicle or or um would you buy a hybrid? 542 00:29:45,640 --> 00:29:48,600 Speaker 1: What do you think? Very difficult question, you know, I 543 00:29:49,000 --> 00:29:50,520 Speaker 1: I think I'll be in the market for a car 544 00:29:50,600 --> 00:29:53,400 Speaker 1: over the next couple of years. Right now, I live 545 00:29:53,440 --> 00:29:55,480 Speaker 1: in an apartment building, so recharging it's going to be 546 00:29:55,480 --> 00:29:57,640 Speaker 1: an issue. And that was something that part was talking 547 00:29:57,640 --> 00:30:01,360 Speaker 1: about yesterday. To really need expansion of the public charge 548 00:30:01,400 --> 00:30:03,920 Speaker 1: in network, and it's hoping to do that, all right. 549 00:30:04,040 --> 00:30:07,760 Speaker 1: Chris yep absolutely. Chris Bryant columus covering industrial companies for 550 00:30:07,880 --> 00:30:09,680 Speaker 1: Bloomberg Opinion. You can read all of his work and 551 00:30:09,760 --> 00:30:11,520 Speaker 1: that of all of our good folks with Bloomberg Opinion 552 00:30:11,800 --> 00:30:15,640 Speaker 1: at Bloomberg dot com, slash Opinion, or on the Bloomberg terminal. 553 00:30:15,680 --> 00:30:19,040 Speaker 1: By typing an O p I n GO. Thanks for 554 00:30:19,080 --> 00:30:22,520 Speaker 1: listening to the Bloomberg Markets podcast. You can subscribe and 555 00:30:22,640 --> 00:30:26,680 Speaker 1: listen to interviews with Apple Podcasts or whatever podcast platform 556 00:30:26,760 --> 00:30:30,040 Speaker 1: you prefer. I'm Matt Miller. I'm on Twitter at Matt 557 00:30:30,120 --> 00:30:33,600 Speaker 1: Miller three. Put on Fall Sweeney. I'm on Twitter at 558 00:30:33,640 --> 00:30:36,520 Speaker 1: pt Sweeney Before the podcast. You can always catch us 559 00:30:36,560 --> 00:30:37,920 Speaker 1: worldwide at Bloomberg Radio