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 00:00:11,520 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,000 Speaker 1: at Bloomberg dot com slash podcast. All right, we need 7 00:00:22,040 --> 00:00:24,040 Speaker 1: to get an update on China, and when we do that, 8 00:00:24,560 --> 00:00:26,840 Speaker 1: we go to one person and one person only. That's 9 00:00:26,920 --> 00:00:31,160 Speaker 1: Leland Mellon Miller, CEO of China Basebook International. Leland, thanks 10 00:00:31,160 --> 00:00:33,160 Speaker 1: so much for joining us here. You know, I guess 11 00:00:33,200 --> 00:00:35,920 Speaker 1: as we look to China here, we really have to 12 00:00:35,960 --> 00:00:39,400 Speaker 1: start with are they open? Are they closed? Our certain 13 00:00:39,440 --> 00:00:42,159 Speaker 1: regions open, are certain regions closed? Can you give us 14 00:00:42,159 --> 00:00:43,960 Speaker 1: an overview kind of where we are right now with 15 00:00:44,080 --> 00:00:47,879 Speaker 1: China and its economy. Yeah, I think that's the right 16 00:00:47,960 --> 00:00:50,440 Speaker 1: question to be asking, because you know, China just came 17 00:00:50,479 --> 00:00:53,760 Speaker 1: out with its first quarter results and and and they 18 00:00:53,760 --> 00:00:55,600 Speaker 1: surprise a lot of people, not us, because you know, 19 00:00:55,640 --> 00:00:58,080 Speaker 1: we had seen some some strength in January and February. 20 00:00:58,560 --> 00:01:00,640 Speaker 1: But the but the real dynamy I make that people 21 00:01:00,640 --> 00:01:02,880 Speaker 1: should be tracking is the fact that the economy is 22 00:01:02,920 --> 00:01:05,800 Speaker 1: just shutting down, and it's not because there's a COVID outbreak. 23 00:01:05,800 --> 00:01:07,600 Speaker 1: It's to prevent the COVID outbreaks. It's part of this 24 00:01:07,680 --> 00:01:10,880 Speaker 1: COVID zero policy. And you're seeing with what a lot 25 00:01:10,880 --> 00:01:14,039 Speaker 1: of people are saying is around g d P shutdown. 26 00:01:14,959 --> 00:01:18,160 Speaker 1: Almost all the major ports are either shut down or 27 00:01:18,600 --> 00:01:22,840 Speaker 1: massively backlog because there's a potential lockdown in progress. So 28 00:01:22,959 --> 00:01:25,520 Speaker 1: you've got you've got a real problem. The March data 29 00:01:25,640 --> 00:01:27,880 Speaker 1: showed a little bit of this, but April you know, 30 00:01:28,160 --> 00:01:31,040 Speaker 1: I've said this before, but Aprilo is going to be 31 00:01:31,080 --> 00:01:34,840 Speaker 1: the most important month for schids is January because the 32 00:01:34,840 --> 00:01:38,080 Speaker 1: extent of the lockdowns are to dictate just how gruesome 33 00:01:38,200 --> 00:01:41,320 Speaker 1: economic growth could potentially fall on the second quarter. So 34 00:01:41,360 --> 00:01:43,600 Speaker 1: how what kind of drop do you expect? I mean, 35 00:01:43,600 --> 00:01:47,400 Speaker 1: can you give us a range? Well, look, if if 36 00:01:47,480 --> 00:01:50,000 Speaker 1: we see some of these big city lockdowns, and we're 37 00:01:50,000 --> 00:01:52,600 Speaker 1: not talking about just Shanghai, but the two of the 38 00:01:52,600 --> 00:01:55,400 Speaker 1: biggest cities in in in you know, down south in 39 00:01:55,480 --> 00:02:00,200 Speaker 1: Guangdong Province are are are under either uh you know, 40 00:02:00,280 --> 00:02:03,520 Speaker 1: the beginnings of a lockdown or or or or a 41 00:02:03,560 --> 00:02:07,440 Speaker 1: lockdown already. Uh you know, we see this continue and 42 00:02:07,480 --> 00:02:09,240 Speaker 1: at last more than one or two weeks. I mean, 43 00:02:09,240 --> 00:02:11,359 Speaker 1: you could see a quarter with negative growth. Now that 44 00:02:11,400 --> 00:02:13,280 Speaker 1: doesn't mean they're gonna announce it, but it just means that, 45 00:02:13,639 --> 00:02:16,200 Speaker 1: you know, if you're shutting down most of the economy 46 00:02:16,280 --> 00:02:18,240 Speaker 1: for a huge chunk of the quarter, you know, you 47 00:02:18,240 --> 00:02:20,880 Speaker 1: could have some real problems with trying to get the 48 00:02:20,960 --> 00:02:24,880 Speaker 1: number out of the gutter? So Leland, is there any 49 00:02:25,040 --> 00:02:28,760 Speaker 1: pushback or pressure or from folks saying, hey, this is 50 00:02:28,800 --> 00:02:31,800 Speaker 1: not the right COVID strategy here, the zero tolerance. I mean, 51 00:02:31,800 --> 00:02:34,440 Speaker 1: maybe it worked in the beginning, but boy, with these 52 00:02:34,520 --> 00:02:39,079 Speaker 1: you know, increasingly contagious variants, Uh, maybe not so much. 53 00:02:39,120 --> 00:02:42,799 Speaker 1: Is there any push back on this policy? Well, I mean, 54 00:02:42,919 --> 00:02:45,920 Speaker 1: individuals across China don't like the policy at all. I mean, 55 00:02:45,960 --> 00:02:48,560 Speaker 1: I think anecdotally it's hard to find anyone who is 56 00:02:48,600 --> 00:02:52,360 Speaker 1: supportive of the of the draconian extent that this lockdown 57 00:02:52,400 --> 00:02:55,000 Speaker 1: has you know, has hit. But that's not the way 58 00:02:55,080 --> 00:02:57,440 Speaker 1: China works. That it's dictated from the top down. And 59 00:02:57,480 --> 00:02:59,880 Speaker 1: She Jin Ping wants to lockdowns, and he's doubled down 60 00:03:00,040 --> 00:03:03,000 Speaker 1: that recently on the radio, and senior policy makers in 61 00:03:03,000 --> 00:03:04,720 Speaker 1: the last few days have had tripled down on it. 62 00:03:04,800 --> 00:03:07,680 Speaker 1: So they're not moving away from COVID zero anytime soon, 63 00:03:07,760 --> 00:03:10,760 Speaker 1: no matter what the worries about economic growth and and 64 00:03:10,800 --> 00:03:14,120 Speaker 1: other things are absolutely secondary to the general fears that 65 00:03:14,160 --> 00:03:17,520 Speaker 1: they could have a major outbreak in the rural populations 66 00:03:17,560 --> 00:03:21,400 Speaker 1: amongst the elderly and particularly underserved populations that don't have 67 00:03:21,440 --> 00:03:24,120 Speaker 1: hospital capacity. And that's what they're really fearing, like a 68 00:03:24,160 --> 00:03:27,040 Speaker 1: disaster during a politically sensitive year. So there's I mean, 69 00:03:27,480 --> 00:03:31,040 Speaker 1: because it matters how much support j and Ping has 70 00:03:31,440 --> 00:03:35,640 Speaker 1: amongst the population. But I guess his his play right 71 00:03:35,720 --> 00:03:39,240 Speaker 1: now is I'd rather have them um perturbed with me 72 00:03:39,400 --> 00:03:44,000 Speaker 1: over a lockdown than you know, ousting me over you know, 73 00:03:44,120 --> 00:03:48,920 Speaker 1: a pandemic that overflows hospitals nationwide. Right, I mean, what 74 00:03:49,000 --> 00:03:50,920 Speaker 1: he's trying to do, he's looking at the worst case 75 00:03:50,960 --> 00:03:52,960 Speaker 1: scenario and trying to take that off the table, and 76 00:03:53,000 --> 00:03:55,080 Speaker 1: then the next priority is to take the next level 77 00:03:55,160 --> 00:03:57,080 Speaker 1: of bad case scenario and trying to take that off 78 00:03:57,080 --> 00:03:59,600 Speaker 1: the table. What I don't think people understand right now, 79 00:03:59,600 --> 00:04:02,680 Speaker 1: because they're obsessing over the you know, the growth rate 80 00:04:02,720 --> 00:04:06,120 Speaker 1: and and and GDP targets and things like that, is 81 00:04:06,120 --> 00:04:08,120 Speaker 1: that that's just not high on the priority list right now. 82 00:04:08,440 --> 00:04:11,920 Speaker 1: You know that that's usually what the leadership in Beijing 83 00:04:12,000 --> 00:04:14,840 Speaker 1: is obsessed with. But during this year, during a time 84 00:04:14,840 --> 00:04:17,159 Speaker 1: where the the outbreak could spread out of control and 85 00:04:17,240 --> 00:04:19,919 Speaker 1: cause havoc in the run up to the Party Congress 86 00:04:20,000 --> 00:04:22,839 Speaker 1: is fall, that's not. Economic growth is not the priority. 87 00:04:22,920 --> 00:04:26,400 Speaker 1: Stability is, security is, safety is and getting COVID under control. 88 00:04:26,480 --> 00:04:28,839 Speaker 1: Do they feel like they can always bring back economic 89 00:04:28,880 --> 00:04:31,680 Speaker 1: growth with the right kind of stimulus and and have 90 00:04:31,839 --> 00:04:37,200 Speaker 1: they been enacting stimulus programs that that you would expect. Yeah, 91 00:04:37,200 --> 00:04:39,400 Speaker 1: that's what gets so interesting. So so they have not 92 00:04:39,560 --> 00:04:42,160 Speaker 1: been doing stimulus. You know, about a year ago we said, look, 93 00:04:42,200 --> 00:04:45,719 Speaker 1: the economic growth models changed, the stimulus playbooks changed. You 94 00:04:45,720 --> 00:04:48,240 Speaker 1: can see this in our data. There's just nothing percolating 95 00:04:48,320 --> 00:04:50,440 Speaker 1: underneath the surface in terms of them getting ready to 96 00:04:50,440 --> 00:04:53,040 Speaker 1: do a more active credit policy. And and a lot 97 00:04:53,120 --> 00:04:54,960 Speaker 1: of people fought back and said, no, no, no, we 98 00:04:55,080 --> 00:04:57,200 Speaker 1: understand the way China works. We understand this is a 99 00:04:57,240 --> 00:04:59,760 Speaker 1: party congress here. They always go big in a party 100 00:04:59,760 --> 00:05:01,960 Speaker 1: com this year and that was the wrong call that 101 00:05:02,040 --> 00:05:04,640 Speaker 1: this is a different regime, this is a different kind 102 00:05:04,680 --> 00:05:07,240 Speaker 1: of economic policy making. Now, the problem you have on 103 00:05:07,320 --> 00:05:09,039 Speaker 1: top of that right now is if if most of 104 00:05:09,040 --> 00:05:10,760 Speaker 1: the economy are a big chunk of the economy is 105 00:05:10,800 --> 00:05:12,880 Speaker 1: locked down, how do you stimulate it even if you 106 00:05:12,920 --> 00:05:15,200 Speaker 1: want to? So they have a question do they want 107 00:05:15,200 --> 00:05:17,080 Speaker 1: to stimulate? But even if they choose to, which they 108 00:05:17,120 --> 00:05:20,480 Speaker 1: have not yet chosen to, can they make it work? Leland? 109 00:05:20,480 --> 00:05:22,720 Speaker 1: Just thirty seconds left. Is there any risk to she 110 00:05:23,120 --> 00:05:27,320 Speaker 1: right now? I know you mentioned a uh political year. Yeah, 111 00:05:27,320 --> 00:05:29,640 Speaker 1: I don't think so. Look, you know, there's no evidence 112 00:05:29,680 --> 00:05:32,240 Speaker 1: that this is affecting she's standing. But you know, we're 113 00:05:32,279 --> 00:05:35,200 Speaker 1: on the cusp of a very very big things happening 114 00:05:35,279 --> 00:05:37,400 Speaker 1: right now. So he needs to get COVID under control 115 00:05:37,440 --> 00:05:39,600 Speaker 1: and they need to get you know, economic growth back 116 00:05:39,680 --> 00:05:41,800 Speaker 1: up the second half of the year. But no, I'm 117 00:05:41,839 --> 00:05:44,920 Speaker 1: not seeing any immediate short term threats to his his governance. 118 00:05:45,240 --> 00:05:47,200 Speaker 1: All right, Leland, good stuff, Thank you very much for 119 00:05:47,360 --> 00:05:50,000 Speaker 1: your time. Again when we want to get the latest 120 00:05:50,200 --> 00:05:54,880 Speaker 1: on what's going on in China politically economically. Returned to 121 00:05:55,080 --> 00:05:59,000 Speaker 1: Leland Miller. He's a CEO of the China beij Book International, 122 00:05:59,080 --> 00:06:02,679 Speaker 1: and boy, they have some of the best data sets 123 00:06:02,680 --> 00:06:06,000 Speaker 1: proprietary data sets, over a hundred thousand unique data sets 124 00:06:06,040 --> 00:06:09,200 Speaker 1: on all parts of the Chinese economy if you want 125 00:06:09,240 --> 00:06:11,320 Speaker 1: to know what's going on over there and maybe get 126 00:06:11,360 --> 00:06:14,000 Speaker 1: the real numbers as to economic growth in other areas. 127 00:06:14,200 --> 00:06:16,120 Speaker 1: The good folks at the China Beige Book are the 128 00:06:16,120 --> 00:06:24,840 Speaker 1: ones to go to Netflix today off year to date. 129 00:06:24,880 --> 00:06:26,680 Speaker 1: You know, Matt, When I was covering the stock as 130 00:06:26,680 --> 00:06:29,600 Speaker 1: an analyst, I said to folks, Netflix is a subscriber 131 00:06:29,640 --> 00:06:32,320 Speaker 1: growth story. As long as subscribers continue to grow and 132 00:06:32,320 --> 00:06:35,640 Speaker 1: hopefully at an increasing rate, stock works. Nothing's gonna stop it. 133 00:06:35,800 --> 00:06:39,080 Speaker 1: But when the growth rate slows, or god forbid, it 134 00:06:39,120 --> 00:06:41,479 Speaker 1: even goes negative, you don't want to be anywhere near this. 135 00:06:41,680 --> 00:06:44,440 Speaker 1: It's the exact same call I had on America Online 136 00:06:44,640 --> 00:06:47,799 Speaker 1: back in the early nineties and it pretty much worked. Uh, 137 00:06:47,880 --> 00:06:50,000 Speaker 1: but we got a pro on right now, Michael Nathanson, 138 00:06:50,800 --> 00:06:55,159 Speaker 1: I have an apology you do to make to Michael Nathanson. Michael, 139 00:06:55,440 --> 00:06:57,800 Speaker 1: I have to say I've been reading your research for 140 00:06:58,320 --> 00:07:01,760 Speaker 1: years and Craig's as well, and for some reason today 141 00:07:02,080 --> 00:07:10,040 Speaker 1: I quoted you as Nathan moffattson. Maybe that sounds pretty good, Michael, 142 00:07:10,360 --> 00:07:14,720 Speaker 1: what's your course? I corrected it right away. Michael Nathanson 143 00:07:14,760 --> 00:07:19,680 Speaker 1: and Craig Moffitt founded Moffatt Nathanson. Is that right, that's correct, 144 00:07:19,760 --> 00:07:22,000 Speaker 1: almost nine and a half years ago. Yeah, and before 145 00:07:22,040 --> 00:07:26,680 Speaker 1: that they were top analysts at Where's It Bernstein and 146 00:07:26,720 --> 00:07:28,280 Speaker 1: things like that. Just some smart dudes, and we always 147 00:07:28,280 --> 00:07:31,760 Speaker 1: appreciate getting a few minutes of their time. Michael thirty 148 00:07:32,080 --> 00:07:34,920 Speaker 1: foot view. I want your perspective. What are we seeing today? 149 00:07:34,960 --> 00:07:38,160 Speaker 1: How are you viewing this company, this stock and this space. 150 00:07:39,040 --> 00:07:41,840 Speaker 1: You know, Paul, you know you brought that reference to 151 00:07:41,960 --> 00:07:43,960 Speaker 1: a O L. This is not a L because there 152 00:07:44,000 --> 00:07:46,000 Speaker 1: was a lot of fraud and you well, we know, 153 00:07:46,160 --> 00:07:50,800 Speaker 1: but you remember the stock right that when people get 154 00:07:50,840 --> 00:07:53,520 Speaker 1: these transformational businesses, I don't know how to value them, 155 00:07:53,520 --> 00:07:54,960 Speaker 1: They don't know how to think about them, so they 156 00:07:55,000 --> 00:07:58,080 Speaker 1: get super amped up about the longterm growth opportunity to 157 00:07:58,160 --> 00:08:02,400 Speaker 1: listen to everything. Management says they trust their models more 158 00:08:02,400 --> 00:08:05,360 Speaker 1: than they trust their logic. Um, and so I'm thinking 159 00:08:05,360 --> 00:08:08,320 Speaker 1: about this is you know, this is natural. As you said, 160 00:08:08,400 --> 00:08:12,400 Speaker 1: you know, at some point companies can't raise pricing anymore, 161 00:08:12,440 --> 00:08:16,679 Speaker 1: they can't add more songs, and then they have to pivot. Um. 162 00:08:16,720 --> 00:08:19,440 Speaker 1: What surprising me is that just the lack of preparation 163 00:08:19,760 --> 00:08:21,640 Speaker 1: in the pivot right, And that's I think what keep 164 00:08:21,680 --> 00:08:24,040 Speaker 1: are reacting to when they read that investor letter and 165 00:08:24,080 --> 00:08:27,040 Speaker 1: watched the interview, Like, wow, these guys steam a surprised 166 00:08:27,080 --> 00:08:30,240 Speaker 1: at anyone about what's happening and why wouldn't they know 167 00:08:30,320 --> 00:08:33,800 Speaker 1: more about their business then even those you know, slow 168 00:08:33,840 --> 00:08:39,280 Speaker 1: south side analysts, you know, So what what did happen that? Um? 169 00:08:39,480 --> 00:08:42,880 Speaker 1: You know, it was such a sudden shock to everyone. 170 00:08:43,640 --> 00:08:48,760 Speaker 1: And um, now of course we were talking about this earlier. UM, 171 00:08:48,800 --> 00:08:53,000 Speaker 1: they used to think people stealing accounts or passwords was 172 00:08:53,080 --> 00:08:55,760 Speaker 1: just the cost of doing business. Now they're like, oh, man, 173 00:08:55,760 --> 00:08:58,040 Speaker 1: there's a hundred million households they are paying. We need 174 00:08:58,080 --> 00:09:01,760 Speaker 1: to get like a portion of them. Yeah, Like it's 175 00:09:01,760 --> 00:09:04,920 Speaker 1: really interesting. So we we've asked over and over again 176 00:09:04,960 --> 00:09:06,840 Speaker 1: like what is what's going on within the US and 177 00:09:06,880 --> 00:09:09,240 Speaker 1: why do you why are you so bullish about you know, 178 00:09:09,440 --> 00:09:10,880 Speaker 1: how much more of the US can grow there at 179 00:09:10,920 --> 00:09:13,760 Speaker 1: seventy million or so? And they never acknowledge that there 180 00:09:13,840 --> 00:09:16,959 Speaker 1: was this much password sharing with it within the US. UM. 181 00:09:17,000 --> 00:09:18,560 Speaker 1: But if you add the pastor share in too the 182 00:09:18,640 --> 00:09:20,719 Speaker 1: U S base, you're like, wow, you're really are at 183 00:09:21,400 --> 00:09:23,600 Speaker 1: where the U S p TV market hit a wall, 184 00:09:23,640 --> 00:09:26,199 Speaker 1: which is a hundred million subs. So the challenge is 185 00:09:26,240 --> 00:09:28,960 Speaker 1: going to be you know, people like me who pay, 186 00:09:29,160 --> 00:09:30,920 Speaker 1: you know, not almost twenty bucks a month for four 187 00:09:30,960 --> 00:09:34,880 Speaker 1: Simultan streams. And I'm thinking, you know, maybe that's something 188 00:09:34,880 --> 00:09:37,520 Speaker 1: that's allowed for my you know, college age kids or 189 00:09:38,040 --> 00:09:40,480 Speaker 1: when I travel. The question is, you know, how are 190 00:09:40,480 --> 00:09:42,600 Speaker 1: they gonna get me to actually now pay for someone 191 00:09:42,600 --> 00:09:45,480 Speaker 1: who's out of my house, like a college student who's 192 00:09:45,559 --> 00:09:48,400 Speaker 1: using my account but he's a household member. Right. It's 193 00:09:48,440 --> 00:09:50,719 Speaker 1: like to me, there's a real question. This is why 194 00:09:50,720 --> 00:09:52,920 Speaker 1: they even so reluctant to do it, because it does 195 00:09:53,000 --> 00:09:55,760 Speaker 1: create some ill will, right, Like I've always paid more 196 00:09:55,800 --> 00:09:58,920 Speaker 1: for Netflix for the optionality used on the road or 197 00:09:58,960 --> 00:10:00,880 Speaker 1: have other family members, you was it out of the house, 198 00:10:01,520 --> 00:10:04,400 Speaker 1: But now what's the rule? And I just think they're 199 00:10:04,400 --> 00:10:07,840 Speaker 1: they're the devil's gonna in the details here and it 200 00:10:07,920 --> 00:10:10,640 Speaker 1: could create some ill will, and I think that's why 201 00:10:10,640 --> 00:10:13,599 Speaker 1: they haven't wanted to change. Well and is it is 202 00:10:13,600 --> 00:10:16,800 Speaker 1: it going to be difficult because I, um, you know, 203 00:10:16,920 --> 00:10:20,000 Speaker 1: have a Netflix account and I have four brothers who 204 00:10:20,040 --> 00:10:23,160 Speaker 1: live all in different parts of the world. I don't 205 00:10:23,160 --> 00:10:27,280 Speaker 1: know for sure, but I'm pretty sure when I see 206 00:10:27,360 --> 00:10:30,560 Speaker 1: like most watched or recent history. I'm like, I didn't, 207 00:10:30,720 --> 00:10:32,800 Speaker 1: I didn't watch that. You know, I'm pretty sure one 208 00:10:32,800 --> 00:10:35,800 Speaker 1: of my kid brothers is using it. And Netflix must know, 209 00:10:36,040 --> 00:10:40,360 Speaker 1: right when my password is being used simultaneously in Berlin, 210 00:10:40,600 --> 00:10:44,840 Speaker 1: Scarsdale and l A. Right, don't they get that? Yes, 211 00:10:45,000 --> 00:10:47,480 Speaker 1: they do get that, and it's one of it was 212 00:10:47,480 --> 00:10:49,840 Speaker 1: one of the value adds, right, like, hey, we don't 213 00:10:49,880 --> 00:10:53,240 Speaker 1: you know, let's look the other way. We're charging twenty bucks. 214 00:10:53,559 --> 00:10:55,320 Speaker 1: It's worth it, you guys a lot of the product. 215 00:10:56,280 --> 00:10:58,280 Speaker 1: But now they're running out of room. Right, So the 216 00:10:58,360 --> 00:11:02,240 Speaker 1: question is gonna be if if you're paying for the 217 00:11:02,240 --> 00:11:05,160 Speaker 1: four sound town of streams and only they're two in 218 00:11:05,200 --> 00:11:09,040 Speaker 1: your house, well, you're gonna spin down. And will your 219 00:11:09,160 --> 00:11:12,320 Speaker 1: family members actually want to pay for it? Like, we 220 00:11:12,360 --> 00:11:15,559 Speaker 1: don't know, they're happy to get it for free. Um, 221 00:11:15,600 --> 00:11:18,960 Speaker 1: but it's it's definitely it opens up a bunch of questions, right, 222 00:11:19,000 --> 00:11:21,600 Speaker 1: And look, if the stock was cheaper, and it's definitely 223 00:11:21,600 --> 00:11:24,920 Speaker 1: getting cheaper, I would have some optionality. I bet on 224 00:11:24,960 --> 00:11:27,480 Speaker 1: the optionality of that. But we're still working our way 225 00:11:27,559 --> 00:11:30,360 Speaker 1: through kind of what the right right pricing is the 226 00:11:30,400 --> 00:11:32,000 Speaker 1: model that we see in front of us, Right, it's 227 00:11:32,000 --> 00:11:34,720 Speaker 1: getting cheaper. So you think it's getting it's getting cheaper, 228 00:11:34,760 --> 00:11:36,760 Speaker 1: because a little bit later we're gonna talk to Laura Martin. 229 00:11:36,840 --> 00:11:39,000 Speaker 1: She's like the soul analyst on the street who's upgraded 230 00:11:39,040 --> 00:11:42,240 Speaker 1: in Yeah. Well yeah, to our credit, she was even 231 00:11:42,240 --> 00:11:45,480 Speaker 1: more negative than I was. She just selling stock. Yeah, 232 00:11:45,480 --> 00:11:48,640 Speaker 1: it's hard to I mean basically it's gonna it's gonna 233 00:11:48,640 --> 00:11:51,480 Speaker 1: get cheaper because as you know, you're going from this 234 00:11:51,800 --> 00:11:56,000 Speaker 1: growth stock to growth purgatory, right, and as it gets 235 00:11:56,000 --> 00:11:57,839 Speaker 1: to the value, we camp you need cash onw and 236 00:11:57,880 --> 00:12:00,160 Speaker 1: earnings to have people come in and buy it. You're 237 00:12:00,240 --> 00:12:02,679 Speaker 1: kind of in this nowhere land, right, and this is 238 00:12:02,720 --> 00:12:04,960 Speaker 1: our reference kind of where you know you you noted 239 00:12:04,960 --> 00:12:07,520 Speaker 1: it that you know twenty years ago we saw the 240 00:12:07,559 --> 00:12:11,040 Speaker 1: same thing and it just takes a while for investor 241 00:12:11,040 --> 00:12:14,079 Speaker 1: bass to turn over because there's a lot of evaluation 242 00:12:14,120 --> 00:12:16,720 Speaker 1: support on things like cash flow. It's going to just 243 00:12:16,760 --> 00:12:21,360 Speaker 1: take a while, right, New people show up, and so 244 00:12:21,679 --> 00:12:23,760 Speaker 1: it's it's you know, I think they need to have 245 00:12:23,800 --> 00:12:26,200 Speaker 1: better answers on how they're gonna roll out the passer 246 00:12:26,280 --> 00:12:29,040 Speaker 1: cheering and the ad model. Like it seems like again 247 00:12:29,080 --> 00:12:31,320 Speaker 1: like they were not prepared. Yeah, that's that's kind of 248 00:12:31,320 --> 00:12:33,360 Speaker 1: what it came across to me. So we'll see how 249 00:12:33,360 --> 00:12:35,600 Speaker 1: this plays out. Michael Nathanson, founding partner and senior Research 250 00:12:35,640 --> 00:12:42,360 Speaker 1: Channels MOFA. Nathan's all right, let's check in on the economy. 251 00:12:42,400 --> 00:12:44,600 Speaker 1: Here are we getting a recession this year and next year? 252 00:12:44,760 --> 00:12:48,720 Speaker 1: It's checking with Brad Dalmon, chief economists for Courtland. Um. Brad, 253 00:12:48,840 --> 00:12:50,400 Speaker 1: you know, one of the things when we think about 254 00:12:51,000 --> 00:12:54,160 Speaker 1: this economy, what has really struck me is how strong 255 00:12:54,559 --> 00:12:56,640 Speaker 1: the housing market has been really since day one of 256 00:12:56,720 --> 00:12:59,280 Speaker 1: this pandemic. And we got some new housing starts a 257 00:12:59,320 --> 00:13:01,440 Speaker 1: couple of days ago were that were very strong. What's 258 00:13:01,440 --> 00:13:03,760 Speaker 1: your view? Is this market peaked? Are we going to 259 00:13:03,920 --> 00:13:06,000 Speaker 1: roll over a little bit in terms of just real 260 00:13:06,080 --> 00:13:09,920 Speaker 1: estate in this country? You think you be a peak 261 00:13:09,960 --> 00:13:13,000 Speaker 1: of sorts? Right? You've seen the mortgage rates go up, 262 00:13:13,280 --> 00:13:15,520 Speaker 1: but you can already see indications that the housing market's 263 00:13:15,520 --> 00:13:18,880 Speaker 1: gonna cool a little bit, if it's slowing home price appreciation, 264 00:13:19,360 --> 00:13:22,480 Speaker 1: if it's more supply starting to pick up on the market. 265 00:13:23,000 --> 00:13:25,640 Speaker 1: Um So, in that sense, as certainly a peak, but 266 00:13:25,760 --> 00:13:29,040 Speaker 1: I don't think anybody's expecting home prices to come down structurally. 267 00:13:30,400 --> 00:13:35,160 Speaker 1: Is so we also saw a drop in existing home sales. 268 00:13:35,200 --> 00:13:37,760 Speaker 1: But that's just because there's not enough inventory, well not 269 00:13:37,880 --> 00:13:41,800 Speaker 1: just because it's also due to rising mortgage rates. What 270 00:13:41,920 --> 00:13:44,240 Speaker 1: kind of effect is that going to have? Especially if 271 00:13:44,480 --> 00:13:46,120 Speaker 1: what are we at right now four and a half 272 00:13:46,200 --> 00:13:48,679 Speaker 1: almost five percent, What if mortgage rades get to six 273 00:13:48,840 --> 00:13:51,600 Speaker 1: or seven, I think we'll see a demonsta will flow 274 00:13:51,640 --> 00:13:54,000 Speaker 1: down and activity. There's been a big narrative that a 275 00:13:54,040 --> 00:13:57,319 Speaker 1: lot of the upward pressure at home prices has been 276 00:13:57,320 --> 00:14:01,080 Speaker 1: because of low listed inventory. Now it's think we'll see 277 00:14:01,160 --> 00:14:04,280 Speaker 1: just how that theory is tested when mortgage rates do 278 00:14:04,400 --> 00:14:06,240 Speaker 1: go up. I think a lot of people will be 279 00:14:06,280 --> 00:14:10,559 Speaker 1: shocked to see just how quickly home price appreciation slows down. 280 00:14:10,360 --> 00:14:13,880 Speaker 1: I can't believe more inventory hasn't come out, by the way, Brad, 281 00:14:13,960 --> 00:14:18,760 Speaker 1: because I know multiple people who want to sell but 282 00:14:18,800 --> 00:14:22,320 Speaker 1: are on the fence about when to do it, and 283 00:14:22,360 --> 00:14:26,960 Speaker 1: now they're starting to rub their hands together, um about 284 00:14:27,000 --> 00:14:30,320 Speaker 1: these mortgage rates and worrying, worrying that they waited too long. 285 00:14:31,800 --> 00:14:33,560 Speaker 1: I would tend to agree with that. I think they 286 00:14:33,720 --> 00:14:36,400 Speaker 1: probably have if that's really the position they're in. Maybe 287 00:14:36,400 --> 00:14:37,960 Speaker 1: one exception to that will be you know, we all 288 00:14:37,960 --> 00:14:40,000 Speaker 1: know about the rate hikes that are expected to be coming. 289 00:14:40,240 --> 00:14:42,840 Speaker 1: Maybe that first double rate hike will shave fifty basis 290 00:14:42,840 --> 00:14:45,080 Speaker 1: points off the tenure treasure rate and kind of bring 291 00:14:45,120 --> 00:14:48,240 Speaker 1: mortgage rates back down for a little bit. All right, 292 00:14:48,280 --> 00:14:51,720 Speaker 1: So when we talk about, like I guess, new housing construction, 293 00:14:52,040 --> 00:14:54,240 Speaker 1: what I hear a lot is they're just not building 294 00:14:54,280 --> 00:14:57,400 Speaker 1: the entry level inventory. Builders are too focused on the 295 00:14:57,480 --> 00:15:01,520 Speaker 1: McMansions because obviously higher better margin. When we do look 296 00:15:01,520 --> 00:15:04,200 Speaker 1: at new housing production coming onto the market, are we 297 00:15:04,200 --> 00:15:07,920 Speaker 1: seeing any entry level It depends on really how you 298 00:15:07,920 --> 00:15:10,720 Speaker 1: wanted to define it. I mean, all this new construction 299 00:15:10,760 --> 00:15:12,800 Speaker 1: is going to happen on the margin. It's very difficult 300 00:15:12,840 --> 00:15:15,720 Speaker 1: to provide this entry level housing without some kind of 301 00:15:15,760 --> 00:15:18,480 Speaker 1: subsidy of any locations. But we can broaden the scope 302 00:15:18,480 --> 00:15:20,160 Speaker 1: of what housing really is and we can look to 303 00:15:20,200 --> 00:15:23,360 Speaker 1: rental housing in many ways as being entry level housing. 304 00:15:23,640 --> 00:15:25,400 Speaker 1: That to say, for that new household that's going to 305 00:15:25,480 --> 00:15:27,520 Speaker 1: go out and form. If we look at these healthy 306 00:15:27,560 --> 00:15:29,160 Speaker 1: starts that just came out, we did actually see an 307 00:15:29,200 --> 00:15:33,920 Speaker 1: uptick in in five bedroom plus multi family units housing starts. 308 00:15:34,280 --> 00:15:36,240 Speaker 1: So I think in that sense, we are building that 309 00:15:36,320 --> 00:15:38,640 Speaker 1: kind of product. And we looked at the ownership side 310 00:15:38,640 --> 00:15:41,520 Speaker 1: obviously it's a little bit of a different story, all right, Brad, 311 00:15:41,560 --> 00:15:44,720 Speaker 1: good stuff. Appreciate getting your thoughts here on the overall 312 00:15:44,800 --> 00:15:47,000 Speaker 1: real estate. We make some great points, by the way, 313 00:15:47,120 --> 00:15:50,440 Speaker 1: especially when it comes to a rate hike. I'll note 314 00:15:50,440 --> 00:15:56,600 Speaker 1: this morning Bank America um UH went bullish on US treasuries. 315 00:15:56,680 --> 00:15:58,680 Speaker 1: They say, now the tenure yield is going to come 316 00:15:58,680 --> 00:16:01,120 Speaker 1: down to two twenty five really, and right now we're 317 00:16:01,120 --> 00:16:03,800 Speaker 1: hovering around to nine. And that's the idea, the same 318 00:16:03,840 --> 00:16:05,400 Speaker 1: thing that Brad said, you know, you get, you get 319 00:16:05,400 --> 00:16:08,160 Speaker 1: a raid hike, and that attracts that investors to come 320 00:16:08,200 --> 00:16:11,680 Speaker 1: back in and they bring the yield, push the yields down. Interesting, 321 00:16:12,080 --> 00:16:14,640 Speaker 1: the ten year treasury two point We were here at 322 00:16:14,640 --> 00:16:18,800 Speaker 1: two to seven. Interesting, right, Brad Dalman, chief economists for Courtland. 323 00:16:23,480 --> 00:16:25,320 Speaker 1: You know, Matt. In my career, I've seen a lot 324 00:16:25,360 --> 00:16:28,880 Speaker 1: of sectors, a lot of stocks that have been subscriber 325 00:16:29,280 --> 00:16:33,800 Speaker 1: momentum stocks, cable stock, sellier, telephone stocks, America Online back 326 00:16:33,800 --> 00:16:37,480 Speaker 1: in the day, UH and now Netflix. And boy, when 327 00:16:37,520 --> 00:16:40,240 Speaker 1: that momentum slows or reverses, you don't want to be 328 00:16:40,280 --> 00:16:42,960 Speaker 1: anywhere near it. And that's what's happening today. Stocks down 329 00:16:43,000 --> 00:16:45,120 Speaker 1: thirty six percent off of their earnings print last night. 330 00:16:45,440 --> 00:16:48,800 Speaker 1: We have one of the smartest people on Wall Street 331 00:16:49,000 --> 00:16:52,160 Speaker 1: for this stuff, law Martin. She's managing director Senior Media 332 00:16:52,200 --> 00:16:56,720 Speaker 1: and Internet Analysts at need Hum. Laura Boy tough quarter 333 00:16:56,920 --> 00:17:00,640 Speaker 1: for the friends at Netflix, but and had find downgrades 334 00:17:00,680 --> 00:17:03,360 Speaker 1: on Wall Street. But then I see Laura Martin upgrades 335 00:17:03,360 --> 00:17:06,840 Speaker 1: a stock today. What's your call? Are right? So our 336 00:17:06,840 --> 00:17:08,719 Speaker 1: call was so we had to sell on it before 337 00:17:09,200 --> 00:17:11,480 Speaker 1: and now we really like the fact that they've done 338 00:17:11,480 --> 00:17:15,000 Speaker 1: the inevitable, which is announced in advertising tier. So one 339 00:17:15,040 --> 00:17:17,200 Speaker 1: of their big problems was that they were sitting in 340 00:17:17,280 --> 00:17:20,760 Speaker 1: an eighteen dollar price point when they had five competitors 341 00:17:20,960 --> 00:17:24,719 Speaker 1: at a five dollar price point. And Disney and HBO 342 00:17:24,800 --> 00:17:26,919 Speaker 1: Max have both announced they're going to have a lower 343 00:17:27,000 --> 00:17:30,560 Speaker 1: priced ad tier, so this is great. They're catching up. 344 00:17:30,720 --> 00:17:34,040 Speaker 1: Netflix is catching up, And I think the most important point, 345 00:17:34,040 --> 00:17:36,680 Speaker 1: Paul is that these Silicon Valley companies have a real 346 00:17:36,800 --> 00:17:40,600 Speaker 1: not invented here problem, and Netflix needs to look around 347 00:17:40,600 --> 00:17:42,919 Speaker 1: and see what his competitors are doing better than it 348 00:17:43,000 --> 00:17:46,280 Speaker 1: and adapt faster. Before everyone has an ad driven tier. 349 00:17:46,720 --> 00:17:48,760 Speaker 1: They need to get there two years earlier than they 350 00:17:48,760 --> 00:17:51,480 Speaker 1: did this time. And I'm hoping that this lesson makes 351 00:17:51,480 --> 00:17:54,440 Speaker 1: some innovative faster based on what other people are already 352 00:17:54,480 --> 00:17:57,440 Speaker 1: doing the market place. So first of all, um, you 353 00:17:57,560 --> 00:18:00,600 Speaker 1: got some big props earlier from Michael Nathanson who said 354 00:18:00,640 --> 00:18:06,320 Speaker 1: you've been right on this stock. Um. And secondly, UM, 355 00:18:06,400 --> 00:18:09,359 Speaker 1: I wonder what you think about the content. Um. You know, 356 00:18:09,440 --> 00:18:12,440 Speaker 1: obviously there have been some huge drivers for Netflix. I 357 00:18:12,480 --> 00:18:14,520 Speaker 1: feel like House of Cards may have been the biggest one. 358 00:18:14,920 --> 00:18:19,359 Speaker 1: It was one of those shows where everybody talked about it, 359 00:18:19,680 --> 00:18:23,560 Speaker 1: everybody had to see it, and it was just a 360 00:18:23,640 --> 00:18:25,520 Speaker 1: reason to go out and get Netflix. They've had a 361 00:18:25,560 --> 00:18:28,760 Speaker 1: few of a few of those shows, um, but it 362 00:18:28,800 --> 00:18:30,320 Speaker 1: doesn't seem like to have them right now. I mean, 363 00:18:30,320 --> 00:18:35,520 Speaker 1: nobody's tripping over themselves to get Netflix for Britain right correct. 364 00:18:35,600 --> 00:18:38,000 Speaker 1: And I think Squid Games was one of those shows. 365 00:18:38,040 --> 00:18:40,280 Speaker 1: But the problem is is, you know, you're a longtime 366 00:18:40,320 --> 00:18:43,439 Speaker 1: media analyst with me, and as you know, you know 367 00:18:43,480 --> 00:18:46,200 Speaker 1: when you drop eight hours of squid Games all at once, 368 00:18:46,200 --> 00:18:48,080 Speaker 1: somebody can pay for the month and then churn out 369 00:18:48,359 --> 00:18:51,160 Speaker 1: that's dumb. They should be dropping these once a week 370 00:18:51,320 --> 00:18:53,920 Speaker 1: and have to and do it mid months, So you 371 00:18:53,960 --> 00:18:56,480 Speaker 1: have to subscribe for three months to watch with Games 372 00:18:56,520 --> 00:18:59,920 Speaker 1: eight hours. Absolutely, we're talking about that earlier because I'm 373 00:19:00,040 --> 00:19:02,439 Speaker 1: noticed Apple TV is doing that right. You have to 374 00:19:02,480 --> 00:19:06,480 Speaker 1: wait until next Friday to see the following episode of 375 00:19:06,520 --> 00:19:10,560 Speaker 1: For All Mankind or Slow Horses? Is Netflix had they 376 00:19:10,600 --> 00:19:13,920 Speaker 1: said anything about going that way? They have not. They've 377 00:19:13,920 --> 00:19:16,080 Speaker 1: specifically said they're not going to go that way because 378 00:19:16,080 --> 00:19:18,480 Speaker 1: they think it's a better user experience. But I think 379 00:19:18,520 --> 00:19:22,959 Speaker 1: they need to start balancing shareholder constituencies. And by the way, 380 00:19:23,000 --> 00:19:25,080 Speaker 1: they're going to start losing employees because the stock is 381 00:19:25,119 --> 00:19:29,160 Speaker 1: now down to two eight levels, so everybody who's joined 382 00:19:29,160 --> 00:19:31,040 Speaker 1: the last four years is making no money on their 383 00:19:31,040 --> 00:19:33,520 Speaker 1: stock for the indefinite future. So they're going to start 384 00:19:33,560 --> 00:19:35,720 Speaker 1: losing employees unless they figure out how to make more 385 00:19:35,720 --> 00:19:38,760 Speaker 1: economics out of the content spend there they have on 386 00:19:38,800 --> 00:19:41,200 Speaker 1: their balance sheet. Matt, you want to know why. One 387 00:19:41,200 --> 00:19:43,040 Speaker 1: of the reasons why law Martin's had such a long 388 00:19:43,080 --> 00:19:47,320 Speaker 1: and successful career on Wall Streets many reasons, very smart research, 389 00:19:47,359 --> 00:19:49,960 Speaker 1: but not afraid to go against consensus. So what do 390 00:19:50,000 --> 00:19:53,000 Speaker 1: we see today nine down grades from all across Wall 391 00:19:53,000 --> 00:19:55,399 Speaker 1: Street and then we get this upgrade that is out 392 00:19:55,440 --> 00:19:59,840 Speaker 1: of consensus. That gets attention. Laura, is your upgrade saying, 393 00:20:00,560 --> 00:20:02,439 Speaker 1: you know, hey, I think they've got it. As it 394 00:20:02,440 --> 00:20:06,280 Speaker 1: relates to advertising video on demand, Is it based on valuation? 395 00:20:06,760 --> 00:20:08,400 Speaker 1: How did you kind of come to that, because that's 396 00:20:08,400 --> 00:20:11,760 Speaker 1: a tough call to make, right. So I think it's 397 00:20:11,800 --> 00:20:14,479 Speaker 1: based mostly on the fact that I think adding an 398 00:20:14,520 --> 00:20:18,399 Speaker 1: ad driven TAM doubles their um ad driven t here 399 00:20:18,440 --> 00:20:22,119 Speaker 1: of doubles their total addressable market and increases their average 400 00:20:22,240 --> 00:20:27,360 Speaker 1: economics per user, because we are hearing from other firms 401 00:20:27,400 --> 00:20:31,679 Speaker 1: that adding advertising actually generates more revenue than just whatever 402 00:20:31,720 --> 00:20:34,600 Speaker 1: your subscription prices. So we actually think that they will 403 00:20:34,640 --> 00:20:38,480 Speaker 1: have higher value per sub than people than our our 404 00:20:38,920 --> 00:20:42,879 Speaker 1: competitors think. So, Lauren, you and I we grew up 405 00:20:42,880 --> 00:20:47,320 Speaker 1: in the media ecosystem where everybody made money the cable systems, 406 00:20:47,359 --> 00:20:50,920 Speaker 1: that cable networks, I mean, the content creators. The only 407 00:20:51,080 --> 00:20:52,960 Speaker 1: people that really paid were the consumers, and that was 408 00:20:52,960 --> 00:20:57,720 Speaker 1: a great economic model for the media ecosystem. Are people 409 00:20:57,800 --> 00:21:05,399 Speaker 1: questioning whether the streaming ecosystem can be a viable economic model, Yes, 410 00:21:06,000 --> 00:21:09,840 Speaker 1: they are today. There's three questions. One is how many 411 00:21:09,920 --> 00:21:13,320 Speaker 1: streamers are they're out there too, Is it a positive 412 00:21:13,320 --> 00:21:15,639 Speaker 1: return on content capital or is this just going to 413 00:21:15,720 --> 00:21:20,760 Speaker 1: be a money, losing sinkhole indefinitely UM. And then third, 414 00:21:20,800 --> 00:21:24,520 Speaker 1: you know what's going on with the unit economics UM 415 00:21:24,640 --> 00:21:28,920 Speaker 1: for the for individual specific stocks like Netflix is clearly 416 00:21:28,920 --> 00:21:31,560 Speaker 1: today seen as a loser in the streaming wars, having 417 00:21:31,600 --> 00:21:34,280 Speaker 1: nothing to do with the total addressable market size. But 418 00:21:34,400 --> 00:21:36,840 Speaker 1: all those three questions are being asked today, and you know, 419 00:21:36,920 --> 00:21:39,040 Speaker 1: again when the other stocks are down. Yeah, there are 420 00:21:39,080 --> 00:21:40,840 Speaker 1: a lot of the other media stocks as well that 421 00:21:40,880 --> 00:21:43,080 Speaker 1: have made the pivot toward towards streaming. I guess it 422 00:21:43,119 --> 00:21:46,480 Speaker 1: kind of begs a question of again, these networks, whether 423 00:21:46,480 --> 00:21:48,679 Speaker 1: you're a broadcast network or cable network and you had 424 00:21:48,680 --> 00:21:51,480 Speaker 1: a lot of original programming, your programming budgets were a 425 00:21:51,480 --> 00:21:55,359 Speaker 1: billion five two billion, three billion. Now these streaming services 426 00:21:55,480 --> 00:21:58,600 Speaker 1: and even the media companies who are supporting streaming services 427 00:21:59,080 --> 00:22:02,960 Speaker 1: ten billion, fifty billion, twenty billion dollars. Boy, with that 428 00:22:03,080 --> 00:22:05,359 Speaker 1: cost structure, that fixed cost structure, do we need to 429 00:22:05,359 --> 00:22:09,239 Speaker 1: see a shake out here in this marketplace? Laura, I 430 00:22:09,240 --> 00:22:13,040 Speaker 1: think you get consolidation. Netflix is getting cheaper by the day, 431 00:22:13,080 --> 00:22:15,400 Speaker 1: but you need to insolidation. So I mean, I think 432 00:22:15,440 --> 00:22:18,520 Speaker 1: clear winners to date are YouTube and a vaud and 433 00:22:18,640 --> 00:22:22,440 Speaker 1: advertising driven on a man in the spot which is subscribers. 434 00:22:22,480 --> 00:22:25,800 Speaker 1: I think the Disney bundle is really compelling. Hulu plus 435 00:22:25,840 --> 00:22:30,160 Speaker 1: Disney plus plus um SPM plus for ten bucks. Now 436 00:22:30,520 --> 00:22:34,800 Speaker 1: that's a compelling UM value proposition. And I think this 437 00:22:34,960 --> 00:22:37,960 Speaker 1: Discovery Warner bundle, when they put all those I think 438 00:22:38,000 --> 00:22:42,280 Speaker 1: that's really interesting. Um Netflix doesn't have anything interesting so far, 439 00:22:42,440 --> 00:22:44,119 Speaker 1: so it might get bought, or it might have to 440 00:22:44,200 --> 00:22:46,680 Speaker 1: buy Paramount or something which is a little too small. Now. 441 00:22:47,040 --> 00:22:49,520 Speaker 1: So I do think you get consolidation, Paul, because these 442 00:22:49,560 --> 00:22:51,639 Speaker 1: companies are all going to be under margin pressure, and 443 00:22:51,640 --> 00:22:53,600 Speaker 1: as you know, when you consolidate, you can cut off 444 00:22:54,240 --> 00:22:56,320 Speaker 1: which helps your earnings. At some point, we'll get to 445 00:22:56,720 --> 00:23:00,119 Speaker 1: a model where there's one company for each region that 446 00:23:00,160 --> 00:23:02,680 Speaker 1: puts a set top box in your house and they 447 00:23:02,680 --> 00:23:06,000 Speaker 1: have all the channels on that box. It sounds kind 448 00:23:06,000 --> 00:23:07,520 Speaker 1: of like a cable system. It could be called that. 449 00:23:08,880 --> 00:23:11,200 Speaker 1: You know, analysts like Laura Martin, she has a lot 450 00:23:11,200 --> 00:23:13,520 Speaker 1: of experience in the spation. She's been right a lot 451 00:23:13,560 --> 00:23:16,439 Speaker 1: more than she's been wrong. Fantastic career on Wall Street. 452 00:23:16,560 --> 00:23:19,919 Speaker 1: Laura Martin, Managing Director, Senior Meeting Internet Analysts for need Um. 453 00:23:21,400 --> 00:23:24,520 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 454 00:23:24,560 --> 00:23:28,320 Speaker 1: subscribe and listen to interviews with Apple Podcasts or whatever 455 00:23:28,400 --> 00:23:32,080 Speaker 1: podcast platform you prefer. I'm Matt Miller. I'm on Twitter 456 00:23:32,359 --> 00:23:35,840 Speaker 1: at Matt Miller three. Put on fall Sweeney I'm on 457 00:23:35,840 --> 00:23:38,800 Speaker 1: Twitter at pt Sweeney. Before the podcast, you can always 458 00:23:38,800 --> 00:23:40,920 Speaker 1: catch us worldwide at Bloomberg Radio