1 00:00:12,920 --> 00:00:16,079 Speaker 1: Hello, and welcome to What Goes Up, a Bloomberg weekly 2 00:00:16,120 --> 00:00:19,560 Speaker 1: market podcast. I'm Sarah Pontzek, a reporter on the Cross 3 00:00:19,600 --> 00:00:22,319 Speaker 1: Asset team, and I'm Mike Reagan, a senior editor on 4 00:00:22,360 --> 00:00:24,520 Speaker 1: the Markets Team. This week on the show, you could 5 00:00:24,520 --> 00:00:27,479 Speaker 1: say it's been quite the comeback. Just weeks after the 6 00:00:27,480 --> 00:00:31,720 Speaker 1: spreading coronavirus shook financial markets around the globe, US equity 7 00:00:31,760 --> 00:00:34,279 Speaker 1: markets have found their way back to record highs and 8 00:00:34,440 --> 00:00:37,000 Speaker 1: risks seems to be back in vogue. Would you say 9 00:00:37,040 --> 00:00:41,479 Speaker 1: it's justified? Or should investors likely be wary of the rally? 10 00:00:42,080 --> 00:00:44,320 Speaker 1: And if you only came here for the big reveal 11 00:00:44,440 --> 00:00:47,040 Speaker 1: of the craziest things we saw in markets this week, 12 00:00:47,080 --> 00:00:51,000 Speaker 1: don't worry. We will close the show with that tradition. Uh, Sarah, 13 00:00:51,000 --> 00:00:54,200 Speaker 1: bad news for you again this week coming from once again. 14 00:00:54,240 --> 00:00:57,080 Speaker 1: I think I got one week of aprieve, one week 15 00:00:57,080 --> 00:00:59,120 Speaker 1: of you saying that you don't automatically win the title. 16 00:01:00,560 --> 00:01:02,600 Speaker 1: I'm back to win in again, guarantee. I don't know, 17 00:01:02,640 --> 00:01:05,440 Speaker 1: maybe our guest, maybe our guests will surprise us with 18 00:01:05,480 --> 00:01:07,560 Speaker 1: some even crazier things, but that mind, it's pretty good. 19 00:01:07,959 --> 00:01:10,240 Speaker 1: But joining us for the first time on the show, 20 00:01:10,480 --> 00:01:13,720 Speaker 1: very happy to have them. Barry gil, head of investments 21 00:01:13,760 --> 00:01:16,680 Speaker 1: at UBS Asset Management. Barry, Welcome to the show. I 22 00:01:16,720 --> 00:01:19,480 Speaker 1: would be here with and also joining us from the 23 00:01:19,520 --> 00:01:23,839 Speaker 1: Bloomberg Consumer team. She's a reporter and editor. Where's many 24 00:01:23,880 --> 00:01:27,440 Speaker 1: hats is Bloomberg? Sally Bakewall Sally, welcome to the show. 25 00:01:27,560 --> 00:01:32,319 Speaker 1: Thank you, Barry. Let's start with you. UM. I write 26 00:01:32,360 --> 00:01:35,240 Speaker 1: to be sort of shocked at how resilient the stock 27 00:01:35,319 --> 00:01:38,800 Speaker 1: market is given the events going on in China. I 28 00:01:38,800 --> 00:01:41,479 Speaker 1: guess I'm a little surprised it snapped back as far 29 00:01:41,680 --> 00:01:44,760 Speaker 1: as quickly as it has, but I think everybody is 30 00:01:44,800 --> 00:01:48,200 Speaker 1: alert there. They're trying to play the map from stars. 31 00:01:48,400 --> 00:01:52,200 Speaker 1: Everybody understands how long that took to play out. Says 32 00:01:52,200 --> 00:01:53,920 Speaker 1: there's a little bit of jumping the gun. But as 33 00:01:53,920 --> 00:01:56,680 Speaker 1: soon as people anticipated that things were going to move 34 00:01:56,680 --> 00:01:58,680 Speaker 1: into the second derivative and start to flatten out in 35 00:01:58,800 --> 00:02:01,920 Speaker 1: terms of new cases getting in ounced, the risk appetite 36 00:02:01,960 --> 00:02:06,400 Speaker 1: is there. All the fundamentals are pretty broadly bullish, UM, 37 00:02:06,480 --> 00:02:09,360 Speaker 1: and people have continued to be underinvested in this equity 38 00:02:09,360 --> 00:02:12,080 Speaker 1: bull market, So in some ways it doesn't surprise me. 39 00:02:12,680 --> 00:02:15,880 Speaker 1: It's been made pretty clear that sure people like to 40 00:02:15,960 --> 00:02:20,519 Speaker 1: compare the current coronavirus to the likes of Stars back 41 00:02:20,560 --> 00:02:23,040 Speaker 1: in late two thousand, two thous three, but the times 42 00:02:23,040 --> 00:02:25,760 Speaker 1: were very different. But you alluded to the fact that 43 00:02:25,880 --> 00:02:29,360 Speaker 1: Stars took a much longer time for it to really 44 00:02:29,440 --> 00:02:32,760 Speaker 1: run its course through financial markets. Do you get the 45 00:02:32,840 --> 00:02:37,280 Speaker 1: sense that, sure, this is behind us, we don't yet 46 00:02:37,360 --> 00:02:39,520 Speaker 1: know whether or not the virus has peaked yet, or 47 00:02:39,520 --> 00:02:42,200 Speaker 1: do you get the sense that, know, the probability is 48 00:02:42,240 --> 00:02:45,640 Speaker 1: that volatility is going to continue. Big moves don't happen 49 00:02:45,639 --> 00:02:48,920 Speaker 1: in a vacuum, and we can't completely called the all 50 00:02:48,960 --> 00:02:51,359 Speaker 1: clear just yet. Look, I think there's a little bit 51 00:02:51,360 --> 00:02:56,239 Speaker 1: of hope going on that the containment efforts have sort 52 00:02:56,240 --> 00:02:59,520 Speaker 1: of coulter aize the problem earlier than if you if 53 00:02:59,520 --> 00:03:01,360 Speaker 1: you go back to Stars, and this is obviously the 54 00:03:01,440 --> 00:03:04,919 Speaker 1: only event that we can sort of in our investment 55 00:03:04,960 --> 00:03:06,720 Speaker 1: memory that we can go back to, So we may 56 00:03:06,840 --> 00:03:10,320 Speaker 1: overplay the analogy. But then there was a cover up 57 00:03:10,360 --> 00:03:13,360 Speaker 1: going on. There's been pretty much full disclosure taking place 58 00:03:13,400 --> 00:03:16,200 Speaker 1: this time. The challenge I think coming out of this 59 00:03:16,280 --> 00:03:20,280 Speaker 1: particular problem is that because the reaction has been as 60 00:03:20,320 --> 00:03:24,280 Speaker 1: swift as it has, the likely impact on g d 61 00:03:24,400 --> 00:03:28,280 Speaker 1: P is potentially even greater, um, particularly in agency seeing 62 00:03:28,360 --> 00:03:31,839 Speaker 1: data points coming out to support that than people that anticipated. 63 00:03:31,880 --> 00:03:34,160 Speaker 1: So there maybe a little bit of bad news associated 64 00:03:34,200 --> 00:03:38,800 Speaker 1: with the reporting of that going forward. UM but uh my, 65 00:03:38,800 --> 00:03:41,600 Speaker 1: my guess is that that everything happens these days and 66 00:03:41,640 --> 00:03:43,760 Speaker 1: gets priced in a heck of a lot quicker than 67 00:03:43,800 --> 00:03:45,680 Speaker 1: it would have done fifteen or twenty years ago. And 68 00:03:45,720 --> 00:03:48,840 Speaker 1: as a result, UM, I think it's just going to 69 00:03:48,920 --> 00:03:52,440 Speaker 1: play out. It's fine, So sort of a bitter medicine 70 00:03:52,480 --> 00:03:54,920 Speaker 1: for excuse a really bad pun as far as the 71 00:03:54,960 --> 00:03:58,680 Speaker 1: economy goes quarantining these cities basically shutting down, it seems 72 00:03:58,720 --> 00:04:02,800 Speaker 1: like a huge chunk of the consumer economy. UM. And 73 00:04:02,840 --> 00:04:04,800 Speaker 1: I know reading one of your recent notes, you you 74 00:04:04,840 --> 00:04:09,480 Speaker 1: sounded pretty bullish about UM, China, especially the consumer in 75 00:04:09,600 --> 00:04:14,360 Speaker 1: China becoming more affluent, uh more sort of a you know, 76 00:04:14,400 --> 00:04:19,520 Speaker 1: a domestic focused economy rather than an export focused economy. Um. 77 00:04:19,680 --> 00:04:22,800 Speaker 1: Does this just delay that sort of progress or is 78 00:04:22,839 --> 00:04:25,920 Speaker 1: there any chance of any sort of permanent or semi 79 00:04:25,920 --> 00:04:29,479 Speaker 1: permanent damage to consumer confidence in China? I don't think 80 00:04:29,600 --> 00:04:32,000 Speaker 1: there is a recipe for that at all. I think 81 00:04:32,040 --> 00:04:35,200 Speaker 1: the trends taking place in China are inexorable in nature. 82 00:04:35,600 --> 00:04:40,599 Speaker 1: They're truly structural um, the growing middle class, the focus 83 00:04:40,680 --> 00:04:43,160 Speaker 1: on the domestic economy, there's a lot of things going on. 84 00:04:43,200 --> 00:04:45,560 Speaker 1: There's a real break that takes there's a sort of 85 00:04:45,560 --> 00:04:48,760 Speaker 1: a bifurcation that's taking place in the market there. But 86 00:04:48,800 --> 00:04:52,320 Speaker 1: I'm bullish both on the consumerization of the of the 87 00:04:52,400 --> 00:04:56,320 Speaker 1: Chinese economy, the premium ization phenomenon that's taking place there 88 00:04:56,360 --> 00:05:00,560 Speaker 1: as people get um wealthier, and then whole bunch of 89 00:05:00,560 --> 00:05:03,359 Speaker 1: disruptive things that are taking place from the technology standpoint 90 00:05:03,440 --> 00:05:05,720 Speaker 1: over there, and I think that those are going to 91 00:05:05,760 --> 00:05:08,000 Speaker 1: play out over the next ten or twenty years, and 92 00:05:08,000 --> 00:05:10,760 Speaker 1: and nothing like this will get in the way. In fact, 93 00:05:10,800 --> 00:05:13,960 Speaker 1: if anything, you could argue that one of the lessons 94 00:05:14,000 --> 00:05:17,160 Speaker 1: this and this is not directed directly at the consumer 95 00:05:17,160 --> 00:05:20,560 Speaker 1: element element of the economy, but when you have an 96 00:05:20,560 --> 00:05:22,840 Speaker 1: event like this and you have to shut down factories, 97 00:05:23,560 --> 00:05:26,560 Speaker 1: and what you figure out is, we'll hang on a second. 98 00:05:26,640 --> 00:05:28,320 Speaker 1: We now have people in these factories, We've now just 99 00:05:28,360 --> 00:05:31,599 Speaker 1: shut down the productive capacity of a region because of 100 00:05:31,640 --> 00:05:33,520 Speaker 1: this event. How do we actually figure out how to 101 00:05:33,520 --> 00:05:36,120 Speaker 1: automate from here? So in some ways it's going to 102 00:05:36,160 --> 00:05:39,599 Speaker 1: accelerate some trends that are already in place. One stat 103 00:05:39,600 --> 00:05:42,960 Speaker 1: I saw that was amazing to me Bloomberg Economics. Uh, 104 00:05:43,440 --> 00:05:46,359 Speaker 1: Tom Orlick, the the head of Bloomberg Economics, kind of 105 00:05:46,400 --> 00:05:51,160 Speaker 1: lowered his forecast for first quarter GDP growth UM untill 106 00:05:51,160 --> 00:05:54,279 Speaker 1: about four and a half percent. Was six percent at 107 00:05:54,279 --> 00:05:57,520 Speaker 1: the end of last year, so slow by uh, you know, 108 00:05:57,960 --> 00:06:00,760 Speaker 1: China's standards. But it's amazing to me that there could 109 00:06:00,760 --> 00:06:02,760 Speaker 1: be any growth at all in this economy in this 110 00:06:02,839 --> 00:06:06,520 Speaker 1: quarter given what we're seeing on TV and yet twice 111 00:06:06,560 --> 00:06:08,839 Speaker 1: the pace of the US growth. Still, it's just remarkable. 112 00:06:09,360 --> 00:06:11,960 Speaker 1: It's just a dis engine of growth, regardless of the 113 00:06:11,960 --> 00:06:13,720 Speaker 1: fact that it's slowing. Well, this goes back to the 114 00:06:13,760 --> 00:06:15,960 Speaker 1: earlier point that I was making. I think we likely 115 00:06:16,080 --> 00:06:21,159 Speaker 1: underestimate the severity of the impact in this quarter. So 116 00:06:21,400 --> 00:06:23,640 Speaker 1: we've had the snap back in the market, then you're 117 00:06:23,640 --> 00:06:26,160 Speaker 1: going to report on the real data. It's probably a 118 00:06:26,200 --> 00:06:30,480 Speaker 1: little bit more. It's probably potentially significantly more pronounced um 119 00:06:30,520 --> 00:06:32,400 Speaker 1: in the first quarter as a result of this, But 120 00:06:32,440 --> 00:06:35,600 Speaker 1: then the snap back will be equally hard when things stabilize. Right, 121 00:06:35,600 --> 00:06:37,839 Speaker 1: we haven't yet gotten the economic data that shows the 122 00:06:37,920 --> 00:06:40,760 Speaker 1: period that encompasses the virus, and as we start to 123 00:06:40,760 --> 00:06:43,360 Speaker 1: get that through February, we will start to see it 124 00:06:43,600 --> 00:06:47,719 Speaker 1: say there's a possibility that it comes through worse than expected, 125 00:06:48,279 --> 00:06:52,000 Speaker 1: we see another bout of volatility shake markets really around 126 00:06:52,000 --> 00:06:56,560 Speaker 1: the globe because you are bullish on China. Uh, would 127 00:06:56,600 --> 00:06:59,080 Speaker 1: you say that's an opportunity for you to look for 128 00:06:59,120 --> 00:07:03,800 Speaker 1: opportunity and where would that actually be in that event? Absolutely, 129 00:07:03,839 --> 00:07:06,920 Speaker 1: it's very likely that when that reporting takes place of 130 00:07:07,040 --> 00:07:10,840 Speaker 1: past data, it's actually coinciding with real time data in 131 00:07:10,960 --> 00:07:14,200 Speaker 1: terms of new cases, etcetera getting announced, and the market 132 00:07:14,360 --> 00:07:16,720 Speaker 1: is a forward looking mechanism, and it will spend a 133 00:07:16,720 --> 00:07:19,440 Speaker 1: lot more time focused on that second derivative kicking in 134 00:07:19,560 --> 00:07:21,440 Speaker 1: rather than the reporting of the bad data. In fact, 135 00:07:21,800 --> 00:07:25,040 Speaker 1: once you get over the data um it really gives 136 00:07:25,080 --> 00:07:26,880 Speaker 1: the all clear to the market because we can't really 137 00:07:26,880 --> 00:07:30,720 Speaker 1: see any other major hiccups that could affect it from there, 138 00:07:30,760 --> 00:07:33,360 Speaker 1: at least over the next few months. You know, Sally, 139 00:07:33,440 --> 00:07:38,040 Speaker 1: when it comes to us consumer companies that are your focus, 140 00:07:38,080 --> 00:07:40,760 Speaker 1: it's hard to even think of a company that is 141 00:07:40,760 --> 00:07:43,800 Speaker 1: not somehow exposed to China, either as a supplier or 142 00:07:43,960 --> 00:07:46,480 Speaker 1: as a customer. Uh. And I know you've you've just 143 00:07:46,520 --> 00:07:49,880 Speaker 1: been typing your fingers this week with trying to cover 144 00:07:49,880 --> 00:07:51,480 Speaker 1: it all. But what are some of the highlights of 145 00:07:51,520 --> 00:07:54,200 Speaker 1: what the consumer companies are saying about the virus? Yeah, 146 00:07:54,200 --> 00:07:57,920 Speaker 1: I have no fingers less um. Well, I think it's 147 00:07:57,920 --> 00:08:02,680 Speaker 1: been a really interesting week because US companies have now 148 00:08:02,800 --> 00:08:06,400 Speaker 1: had a bit of time to digest and see how 149 00:08:06,400 --> 00:08:08,600 Speaker 1: it's going to play out, and that corresponded with a 150 00:08:08,720 --> 00:08:12,360 Speaker 1: busy week for earnings where they have had to talk 151 00:08:12,400 --> 00:08:14,840 Speaker 1: about the impact because they can't really get away with 152 00:08:15,000 --> 00:08:18,720 Speaker 1: not um. Enough time has passed for them to need 153 00:08:18,760 --> 00:08:20,880 Speaker 1: to be able to show they can do that. And 154 00:08:20,920 --> 00:08:24,080 Speaker 1: so we have had companies like Capri which is the 155 00:08:24,120 --> 00:08:30,160 Speaker 1: owner of Jimmy Chiu Vasachi Um Tapestry which owns Coach 156 00:08:30,200 --> 00:08:33,480 Speaker 1: and Kate Spade and State lawder is another one, and 157 00:08:33,720 --> 00:08:36,800 Speaker 1: they have started to say how it is going to 158 00:08:36,840 --> 00:08:39,440 Speaker 1: impact their sales and profit this year. A few of 159 00:08:39,440 --> 00:08:43,600 Speaker 1: them have reduced their guidance for revenue their profit profit 160 00:08:43,679 --> 00:08:46,959 Speaker 1: forecast for this year um and that for a lot 161 00:08:47,000 --> 00:08:52,079 Speaker 1: of them. Actually, their China business isn't huge, but they 162 00:08:52,160 --> 00:08:56,480 Speaker 1: have invested significantly into the country because, as you mentioned, 163 00:08:56,520 --> 00:08:59,600 Speaker 1: you know, it's got this rising middle class and they 164 00:08:59,600 --> 00:09:02,880 Speaker 1: want to make sure they can capture that opportunity, and 165 00:09:02,960 --> 00:09:06,600 Speaker 1: so that I think is why it's a big, big 166 00:09:06,640 --> 00:09:11,640 Speaker 1: deal for these companies and why they are expressly seeing 167 00:09:11,880 --> 00:09:14,160 Speaker 1: a dent. When companies have come out and given a 168 00:09:14,200 --> 00:09:17,120 Speaker 1: forecast for the future, have they been relatively open ended? 169 00:09:17,200 --> 00:09:20,320 Speaker 1: I think of Apple, for example, when they reported earnings, 170 00:09:20,320 --> 00:09:23,439 Speaker 1: they just gave a wider range than expected because it's 171 00:09:23,559 --> 00:09:26,080 Speaker 1: very difficult to actually estimate at this point in time 172 00:09:26,120 --> 00:09:29,000 Speaker 1: what the true fallout was going to be. I know 173 00:09:29,120 --> 00:09:31,960 Speaker 1: Starbucks has made clear how many stores are closed, and 174 00:09:32,080 --> 00:09:35,880 Speaker 1: Nike said they will feel a material impact from the coronavirus. 175 00:09:35,920 --> 00:09:38,000 Speaker 1: But do we actually have a sense yet of what 176 00:09:38,040 --> 00:09:41,520 Speaker 1: the numerical impact could be to a couple or many 177 00:09:41,559 --> 00:09:44,080 Speaker 1: of these companies, bottoms, lines, and what that might mean 178 00:09:44,200 --> 00:09:49,320 Speaker 1: across the board. Yes, some have given specific amounts of 179 00:09:49,600 --> 00:09:55,000 Speaker 1: profit impact. Others like Starbucks you mentioned, have said we 180 00:09:55,080 --> 00:09:57,480 Speaker 1: are not going to we don't know the impact and 181 00:09:57,480 --> 00:10:00,000 Speaker 1: we can't assess it, so we're not going to incorporate 182 00:10:00,160 --> 00:10:03,840 Speaker 1: in our guidance. So have our guidance as as it 183 00:10:03,880 --> 00:10:06,920 Speaker 1: should have been and as it was, and that obviously 184 00:10:06,960 --> 00:10:10,959 Speaker 1: makes it difficult for investors, and perhaps it's why we 185 00:10:10,960 --> 00:10:13,480 Speaker 1: we saw with the companies that I mentioned earlier, you know, 186 00:10:13,600 --> 00:10:16,720 Speaker 1: capri Esday Lawder, Tapestry, they all saw their shares lift 187 00:10:17,440 --> 00:10:20,280 Speaker 1: because they had otherwise good news or relatively decent good 188 00:10:20,600 --> 00:10:24,920 Speaker 1: decent news um but this great unknown and this threat 189 00:10:25,160 --> 00:10:27,480 Speaker 1: which they tried to address. I mean they all mentioned 190 00:10:27,520 --> 00:10:30,079 Speaker 1: that there might be an impact that didn't seem to 191 00:10:30,480 --> 00:10:34,400 Speaker 1: really hit the share price at all. That was almost 192 00:10:34,400 --> 00:10:36,560 Speaker 1: one of my craziest things I saw this week story 193 00:10:36,679 --> 00:10:41,080 Speaker 1: story work. But you basically said this company, that company 194 00:10:41,080 --> 00:10:43,120 Speaker 1: in this company all came out and said this is 195 00:10:43,160 --> 00:10:45,280 Speaker 1: going to have a material impact on earnings, and their 196 00:10:45,320 --> 00:10:48,839 Speaker 1: stocks all rallied after they were honest, truthful. So I 197 00:10:48,920 --> 00:10:51,800 Speaker 1: can almost imagine, you know, when the first quarter numbers 198 00:10:51,840 --> 00:10:55,080 Speaker 1: come out, you could imagine some sort of earning Zex 199 00:10:55,160 --> 00:10:59,280 Speaker 1: coronavirus impact being reported. I mean, is it going to 200 00:10:59,360 --> 00:11:01,240 Speaker 1: be as simple as that, Barry? I mean, is the 201 00:11:01,280 --> 00:11:06,120 Speaker 1: market going to accept that take, you know, basically ignore 202 00:11:06,240 --> 00:11:08,640 Speaker 1: some bad numbers for a quarter, whether it be the 203 00:11:08,679 --> 00:11:12,040 Speaker 1: economic data and earnings or could it caused a little 204 00:11:12,080 --> 00:11:15,080 Speaker 1: bit of jitters. The market is pretty good at separating 205 00:11:15,120 --> 00:11:18,240 Speaker 1: what's an exceptional event from what's a structural change the dynamic. 206 00:11:18,640 --> 00:11:22,080 Speaker 1: I'll tell you, if there's a re acceleration in cases 207 00:11:22,360 --> 00:11:25,440 Speaker 1: or something like that, then and this looks starts to 208 00:11:25,480 --> 00:11:27,960 Speaker 1: look like a Q two phenomenon, then people will start 209 00:11:27,960 --> 00:11:30,600 Speaker 1: to think about it very, very differently. But I think 210 00:11:30,640 --> 00:11:33,439 Speaker 1: for the moment, given the the risk appetite in the market, 211 00:11:33,440 --> 00:11:35,480 Speaker 1: people are going to just look right through it. You 212 00:11:35,520 --> 00:11:38,760 Speaker 1: mentioned earlier on that the fundamentals are moving to the upside, 213 00:11:38,760 --> 00:11:41,160 Speaker 1: And something that's really stood out to me through this 214 00:11:41,200 --> 00:11:43,199 Speaker 1: earning season is the fact that if you look at 215 00:11:44,360 --> 00:11:47,520 Speaker 1: forecast ADPs, it's pretty much hung in there at eight 216 00:11:47,559 --> 00:11:50,080 Speaker 1: and a half percent. We haven't really seen the deterioration 217 00:11:50,160 --> 00:11:52,920 Speaker 1: that you typically see when you enter a new year. 218 00:11:53,240 --> 00:11:56,400 Speaker 1: So can you give us a sense, Sure, maybe profits 219 00:11:56,520 --> 00:11:59,600 Speaker 1: are hanging in there even amid all these worries considering 220 00:11:59,600 --> 00:12:03,880 Speaker 1: the corona of virus. But what is it um that 221 00:12:03,920 --> 00:12:05,880 Speaker 1: does cause you to be so bullish as it relates 222 00:12:05,920 --> 00:12:09,680 Speaker 1: to fundamentals across the board? Oh? Look, I mean, we 223 00:12:09,760 --> 00:12:13,760 Speaker 1: discounted a lot of stuff in in snapped back from 224 00:12:13,760 --> 00:12:16,440 Speaker 1: a very low level really at the end of twenty eighteen. 225 00:12:17,240 --> 00:12:19,160 Speaker 1: But a lot of the things that people were really 226 00:12:19,160 --> 00:12:23,480 Speaker 1: worried about in twenty eighteen, you know, kind of come, 227 00:12:23,600 --> 00:12:25,960 Speaker 1: they've kind of passed, right, And if if anything, I 228 00:12:25,960 --> 00:12:30,800 Speaker 1: would say, sitting here looking at things like the recession 229 00:12:30,880 --> 00:12:33,920 Speaker 1: risk that people were fearful of, it's a lower probability 230 00:12:33,960 --> 00:12:38,840 Speaker 1: in twenty now than it was maybe in You've had 231 00:12:38,920 --> 00:12:43,200 Speaker 1: the loosening of financial policy by the Fed and really 232 00:12:43,240 --> 00:12:45,920 Speaker 1: across the board for central banks, So that takes time 233 00:12:45,960 --> 00:12:50,480 Speaker 1: to flow into um into the broad economy as well. 234 00:12:50,480 --> 00:12:53,000 Speaker 1: Called it a six to nine month lag, so that's 235 00:12:53,040 --> 00:12:56,000 Speaker 1: feeding into as well. And then think about all the 236 00:12:56,040 --> 00:12:58,760 Speaker 1: things that we're going on in the manufacturing economy associated 237 00:12:58,840 --> 00:13:03,439 Speaker 1: with trade UH last year and and for parts of eighteen, 238 00:13:04,120 --> 00:13:07,360 Speaker 1: and we've had at least a Step one resolution, which 239 00:13:07,440 --> 00:13:11,520 Speaker 1: gives companies the ability to plan a little bit further. 240 00:13:11,679 --> 00:13:16,520 Speaker 1: So all of the manufacturing markers were really started bottoming 241 00:13:16,520 --> 00:13:19,240 Speaker 1: out and starting to tip tap up. For me, the 242 00:13:19,280 --> 00:13:22,240 Speaker 1: big shock has has been the impact. I mean, we 243 00:13:22,280 --> 00:13:24,760 Speaker 1: really thought that we were gonna have an acceleration in growth, 244 00:13:24,800 --> 00:13:28,959 Speaker 1: and the coronavirus, amongst other things, has has primarily the 245 00:13:29,160 --> 00:13:34,280 Speaker 1: virus has really um held everything back. And so the 246 00:13:34,320 --> 00:13:36,400 Speaker 1: move in the tenure has been dramatic. The initial move 247 00:13:36,400 --> 00:13:39,439 Speaker 1: in the equity markets has been dramatic, but those underlying 248 00:13:39,480 --> 00:13:42,880 Speaker 1: cyclical dynamics will play out over the course of the year, 249 00:13:42,920 --> 00:13:44,600 Speaker 1: and as long as this is a one off event, 250 00:13:45,080 --> 00:13:47,880 Speaker 1: they should be the dominant the dominant factor for the 251 00:13:47,920 --> 00:13:51,880 Speaker 1: subsequent three quarters. And that's why, UM, I don't think 252 00:13:51,880 --> 00:13:53,520 Speaker 1: you see a lot of move in the earnings estimates 253 00:13:53,559 --> 00:13:56,480 Speaker 1: at the moment, because you can kind of once people 254 00:13:56,960 --> 00:13:59,079 Speaker 1: ring fence that there are so many other variables going on, 255 00:13:59,400 --> 00:14:02,760 Speaker 1: and people were easily conservative. Um, you should be okay 256 00:14:02,880 --> 00:14:20,160 Speaker 1: hitting those numbers by the end of the year. You know, 257 00:14:20,280 --> 00:14:23,880 Speaker 1: you mentioned the tenure yield UM and obviously you did 258 00:14:23,920 --> 00:14:27,000 Speaker 1: a great job of explaining why the equity market might 259 00:14:27,560 --> 00:14:30,400 Speaker 1: be able to look past this. Some of the other 260 00:14:30,440 --> 00:14:33,360 Speaker 1: markets still seem a little cautious oil obviously, I mean, 261 00:14:33,400 --> 00:14:36,600 Speaker 1: they have to contend with just the obvious supplying demand 262 00:14:36,640 --> 00:14:39,800 Speaker 1: issues going on because of this. But that tenure yield 263 00:14:39,840 --> 00:14:42,160 Speaker 1: is still sort of closer to the lower end of 264 00:14:42,160 --> 00:14:45,200 Speaker 1: the range we've seen, I mean, is something like, uh, 265 00:14:45,520 --> 00:14:49,080 Speaker 1: you know, closer to two towards the end of the year. 266 00:14:49,920 --> 00:14:53,680 Speaker 1: UM started rolling over even before the coronavirus got about 267 00:14:53,840 --> 00:14:57,480 Speaker 1: one and a half. It's now about one. Is that 268 00:14:57,560 --> 00:15:00,480 Speaker 1: just the nature of the bond market to to be 269 00:15:00,480 --> 00:15:03,040 Speaker 1: a little bit more pessimistic about the future, or is 270 00:15:03,120 --> 00:15:07,040 Speaker 1: that a cause a concern for for an equity outlook. Look, 271 00:15:07,080 --> 00:15:09,400 Speaker 1: this is a question that I sort of grapple with 272 00:15:09,880 --> 00:15:14,280 Speaker 1: on an ongoing basis, because all of the things cyclically 273 00:15:15,360 --> 00:15:20,240 Speaker 1: seem to be pointing towards more labor bargaining power, tighter 274 00:15:20,320 --> 00:15:25,200 Speaker 1: labor capacity, slightly more optimism. All of these things are 275 00:15:25,240 --> 00:15:30,720 Speaker 1: a recipe for increased inflation across the broad economy. The 276 00:15:30,720 --> 00:15:34,880 Speaker 1: Phillips curves not dead, not dead, that's the term kinked, 277 00:15:34,960 --> 00:15:38,200 Speaker 1: not dead. Um. And I do think that's that that 278 00:15:38,280 --> 00:15:40,000 Speaker 1: is one of those things is that you don't see 279 00:15:40,040 --> 00:15:42,480 Speaker 1: any change for a long time, and then you see 280 00:15:42,480 --> 00:15:45,160 Speaker 1: a lot of change very very quickly. Um. But I 281 00:15:45,200 --> 00:15:48,120 Speaker 1: think there's this structural bias. The low rate or the 282 00:15:48,160 --> 00:15:51,040 Speaker 1: lower for longer phenomenon has been with us for so 283 00:15:51,120 --> 00:15:55,120 Speaker 1: long that every time you get a hiccup like we've 284 00:15:55,160 --> 00:15:59,000 Speaker 1: just had, it sucks people back into that story. And 285 00:16:00,080 --> 00:16:04,040 Speaker 1: there are very I mean, there's a powerful secular argument 286 00:16:04,360 --> 00:16:08,280 Speaker 1: around low rates, which would be in simple terms, forget 287 00:16:08,320 --> 00:16:10,880 Speaker 1: about the low growth story. But in simple terms, the 288 00:16:10,920 --> 00:16:14,720 Speaker 1: internet disintermediate or really the Internet being a deflator on 289 00:16:14,760 --> 00:16:19,240 Speaker 1: the services economy, which is obviously sev GDP. But that's 290 00:16:19,240 --> 00:16:23,520 Speaker 1: a really, really long term phenomenon um. In the medium term, 291 00:16:23,600 --> 00:16:26,480 Speaker 1: these major cyclical factors that I've talked about really should 292 00:16:26,480 --> 00:16:29,640 Speaker 1: be the things that that that play out. But there 293 00:16:29,720 --> 00:16:32,120 Speaker 1: is momentum to that legacy story, and I think it's 294 00:16:32,120 --> 00:16:34,400 Speaker 1: going to take some real optimism and a real broad 295 00:16:34,440 --> 00:16:36,560 Speaker 1: cyclical uplift to sort of break the back of that. 296 00:16:36,640 --> 00:16:40,520 Speaker 1: But frankly, I'm stunned at where the tenure is at 297 00:16:40,520 --> 00:16:43,720 Speaker 1: this point. All Right, I think it's that time, Sarah, 298 00:16:43,840 --> 00:16:46,480 Speaker 1: It is that time, all right. I know you've got 299 00:16:46,520 --> 00:16:50,320 Speaker 1: a crazy thing from a listener of the show. Why 300 00:16:50,320 --> 00:16:52,600 Speaker 1: don't you start with that? We did so. We actually 301 00:16:52,640 --> 00:16:55,720 Speaker 1: had a terminal client reach out. He goes by the 302 00:16:55,800 --> 00:16:59,200 Speaker 1: name of David Back. He's a credit analyst in Virginia 303 00:16:59,600 --> 00:17:02,440 Speaker 1: UM and what he said was it's rare to see 304 00:17:02,440 --> 00:17:05,320 Speaker 1: a firm reorganized under Chapter eleven and re emerge in 305 00:17:05,320 --> 00:17:09,480 Speaker 1: a completely different line of business. Children's clothing retailer Jim 306 00:17:09,480 --> 00:17:13,639 Speaker 1: Boree announced plans to exit bankruptcy protection and begin anew 307 00:17:13,960 --> 00:17:17,600 Speaker 1: as anyone have a guess, I'm gonna say, a blockchain 308 00:17:17,920 --> 00:17:23,040 Speaker 1: biotechnology company focused on coronavirus vaccines. It's a very good guess, 309 00:17:23,080 --> 00:17:28,240 Speaker 1: but unfortunately wrong. No, you're very wrong. Um. But as 310 00:17:28,400 --> 00:17:33,399 Speaker 1: an artwork authentication service. Uh so of course, yeah, of course, 311 00:17:33,440 --> 00:17:37,080 Speaker 1: why not? Why not? Right, there's a natural connection between 312 00:17:37,119 --> 00:17:41,520 Speaker 1: children's clothing and artwork authentication. But it was a really 313 00:17:42,040 --> 00:17:47,160 Speaker 1: good example, uh and just very interesting. Uh, trying to 314 00:17:47,400 --> 00:17:51,160 Speaker 1: give you insight into how companies try to reorganize themselves 315 00:17:51,200 --> 00:17:55,399 Speaker 1: to stay relevant, stay alive. That's pretty good. I encourage 316 00:17:55,440 --> 00:17:58,919 Speaker 1: that kind of to reach out to us again, to rethink. 317 00:17:59,200 --> 00:18:04,119 Speaker 1: Now I still want Yeah, we'll see about that. So 318 00:18:04,640 --> 00:18:06,640 Speaker 1: did they tell us? I know, I told you about 319 00:18:06,640 --> 00:18:08,560 Speaker 1: our our gimmick here the craziest thing. What do you 320 00:18:08,560 --> 00:18:11,119 Speaker 1: have for UM? I wondered if you would mind if 321 00:18:11,200 --> 00:18:17,639 Speaker 1: I substituted the word crazy with beautiful, cra beautiful, all 322 00:18:17,680 --> 00:18:22,520 Speaker 1: crazy beautiful. So we had Peloton announcing its second quarter 323 00:18:22,600 --> 00:18:27,480 Speaker 1: results this week UM and guidance for its next quarter 324 00:18:27,600 --> 00:18:31,680 Speaker 1: missed estimates and the chares slid. But some analysts, who 325 00:18:31,720 --> 00:18:37,320 Speaker 1: I think must all own Pelotons, got really quite poetic 326 00:18:37,560 --> 00:18:43,439 Speaker 1: with their notes, and one of them wrote that the 327 00:18:43,520 --> 00:18:46,800 Speaker 1: company was climbing the hills of worry with a steady 328 00:18:46,920 --> 00:18:53,000 Speaker 1: cadence in reference to its stationary bicycles. And then another 329 00:18:53,760 --> 00:18:56,760 Speaker 1: who wrote that upside in the second quarter was in 330 00:18:56,880 --> 00:18:59,280 Speaker 1: part at the expense of the third quarter is faster 331 00:18:59,520 --> 00:19:03,439 Speaker 1: ordered to delivery time shifted units forward. However, the endless 332 00:19:03,480 --> 00:19:10,680 Speaker 1: said not to sweat the ship. Yeah, too much time. 333 00:19:11,160 --> 00:19:14,320 Speaker 1: I think they they're just fishing to get the headline 334 00:19:14,320 --> 00:19:16,000 Speaker 1: one of our in one of our headlines. They just 335 00:19:16,040 --> 00:19:23,080 Speaker 1: got it. That's right, right. Was there any impact from 336 00:19:23,119 --> 00:19:27,080 Speaker 1: that very controversial commercial for Peloton on on sales. I 337 00:19:27,080 --> 00:19:31,159 Speaker 1: think the main impact was on my productivity and the 338 00:19:31,200 --> 00:19:34,080 Speaker 1: productivity of my colleagues. Were discussed it at length. The 339 00:19:34,119 --> 00:19:37,000 Speaker 1: amount of memes are gifts that I saw over the 340 00:19:37,040 --> 00:19:41,200 Speaker 1: past week. Examt for Peloton did report earnings um with 341 00:19:41,280 --> 00:19:44,119 Speaker 1: the woman from the commercials all publicity is good for 342 00:19:44,200 --> 00:19:46,840 Speaker 1: That's very true, especially for that woman. She got all 343 00:19:46,840 --> 00:19:49,560 Speaker 1: sorts of yes, she did for that so and probably 344 00:19:49,600 --> 00:19:51,840 Speaker 1: got a free bike out of it. I imagine, all right, 345 00:19:52,240 --> 00:19:54,359 Speaker 1: very pretty stiff competition, and we haven't even gotten the 346 00:19:54,400 --> 00:19:56,400 Speaker 1: mind yet. I can't I can't go down the beautiful 347 00:19:58,240 --> 00:20:00,560 Speaker 1: I guess, like I mean it's kind of the uh uh, 348 00:20:01,119 --> 00:20:04,000 Speaker 1: the elevent in the room the I've been One of 349 00:20:04,040 --> 00:20:06,160 Speaker 1: the arguments that I've been using when I've been thinking 350 00:20:06,160 --> 00:20:08,960 Speaker 1: about the equity markets in particular, is that we've never 351 00:20:09,080 --> 00:20:14,520 Speaker 1: had a real period of speculation and optimism UM in 352 00:20:14,600 --> 00:20:17,600 Speaker 1: the market. There's been isolated pockets of it right where things, 353 00:20:17,600 --> 00:20:20,640 Speaker 1: and certainly twenty seventeen was a period of a lot 354 00:20:20,640 --> 00:20:24,760 Speaker 1: of multiple expansion. But I would say the dynamic in 355 00:20:25,080 --> 00:20:29,360 Speaker 1: Tesla's stock in the last few days UM for a 356 00:20:29,480 --> 00:20:35,280 Speaker 1: very large cap company is one of the strangest things 357 00:20:35,359 --> 00:20:38,879 Speaker 1: that I've seen, and it's certainly for somebody who's sort 358 00:20:38,920 --> 00:20:42,240 Speaker 1: of been structurally bullish, and I'm very very much the 359 00:20:42,320 --> 00:20:44,560 Speaker 1: cycle I've been wanted to buy that we want to 360 00:20:44,600 --> 00:20:47,040 Speaker 1: buy the dips, and you want to stay invested until 361 00:20:47,200 --> 00:20:50,199 Speaker 1: you see the same levels of commitment and optimism that 362 00:20:50,280 --> 00:20:53,280 Speaker 1: you see typically the end of other cycles. When you 363 00:20:53,320 --> 00:20:55,880 Speaker 1: see events like that, you either ask is their market 364 00:20:55,880 --> 00:20:59,119 Speaker 1: structure issue going on, or is there some sort of 365 00:20:59,200 --> 00:21:02,600 Speaker 1: level of speculation that I haven't picked up broadly, And 366 00:21:02,640 --> 00:21:05,360 Speaker 1: so you you watched situations like that to figure out 367 00:21:05,400 --> 00:21:07,159 Speaker 1: if they're sort of signal in the noise, and I 368 00:21:07,200 --> 00:21:09,440 Speaker 1: can't parse it at the moment, but it was certainly odd. 369 00:21:09,440 --> 00:21:11,439 Speaker 1: I agree that that was bizarre. It's the type of 370 00:21:11,440 --> 00:21:13,080 Speaker 1: thing you see in like a penny stock where it 371 00:21:13,119 --> 00:21:15,879 Speaker 1: only takes a few thousand bucks to move. Unbelievable. I mean, 372 00:21:15,920 --> 00:21:20,040 Speaker 1: I heard comparison thrown out there a few times this week, 373 00:21:20,080 --> 00:21:22,560 Speaker 1: but I think anytime you see a stock jumped that much, 374 00:21:22,680 --> 00:21:25,720 Speaker 1: especially the likes of Tesla, which was an extremely heavily 375 00:21:26,200 --> 00:21:32,040 Speaker 1: shorted company, very polarizing, it definitely captured everyone. Let me 376 00:21:32,119 --> 00:21:35,520 Speaker 1: be very clear, this is nothing like yeah, but the 377 00:21:35,840 --> 00:21:39,520 Speaker 1: fact that this is what at least spurred comparisons. Um, 378 00:21:39,600 --> 00:21:43,119 Speaker 1: but yeah, very still different, right right, All right, Well 379 00:21:43,160 --> 00:21:45,760 Speaker 1: I've got I've got two crazy things, a bonus one. 380 00:21:46,359 --> 00:21:48,800 Speaker 1: I'm allowed to bonus crazy thing, right, do I get 381 00:21:48,840 --> 00:21:52,520 Speaker 1: to Oh, you go first. I'm just because I'm tacking 382 00:21:52,560 --> 00:21:57,000 Speaker 1: on to Barry as well. So sure, Tesla shares did surge, 383 00:21:57,400 --> 00:22:00,720 Speaker 1: but Luke Kawa, our colleague, point it out and looked 384 00:22:00,720 --> 00:22:03,880 Speaker 1: into the options market, and if you had bought calls 385 00:22:03,960 --> 00:22:09,120 Speaker 1: on Tesla that paid out at one thousand dollars, then 386 00:22:09,560 --> 00:22:14,120 Speaker 1: your investment would have risen nine thousand, eight hundred percent 387 00:22:15,359 --> 00:22:18,520 Speaker 1: through that would be good, which would be good. Um. 388 00:22:18,640 --> 00:22:22,960 Speaker 1: I I saw a couple reddits um about Tesla with 389 00:22:23,000 --> 00:22:26,960 Speaker 1: people posting how much they had made by buying call 390 00:22:27,000 --> 00:22:31,159 Speaker 1: options on Tesla. Uh, call it luck, call it whatever 391 00:22:31,200 --> 00:22:34,600 Speaker 1: you want to um, but some serious money was made. 392 00:22:34,640 --> 00:22:38,240 Speaker 1: I wonder if they on the way down after or 393 00:22:38,600 --> 00:22:40,679 Speaker 1: if they lost it all because they were they were 394 00:22:40,720 --> 00:22:43,080 Speaker 1: too stubborn. Well that's pretty good, all right. Well let 395 00:22:43,119 --> 00:22:46,320 Speaker 1: me give you one my bonus crazy thing. It's that guy, 396 00:22:46,680 --> 00:22:50,600 Speaker 1: the junk bond trader at City Group in London. Guy 397 00:22:50,680 --> 00:22:54,160 Speaker 1: makes a million pounds a year. Uh. They called him 398 00:22:54,200 --> 00:22:58,960 Speaker 1: stealing snacks from the from the cafeteria, so they suspended 399 00:22:59,240 --> 00:23:02,840 Speaker 1: a million dollars year, a million pounds a year junk 400 00:23:02,880 --> 00:23:04,840 Speaker 1: bond trader for stealing snacks. So that was pretty good. 401 00:23:04,840 --> 00:23:07,479 Speaker 1: But that is not the craziest thing. The craziest thing, actually, 402 00:23:07,600 --> 00:23:09,399 Speaker 1: I I have to I'm kind of cheating because I 403 00:23:09,440 --> 00:23:11,840 Speaker 1: got this from Cameron Christ, our columnist, but I added 404 00:23:11,880 --> 00:23:13,280 Speaker 1: him so I feel like I can kind of claim 405 00:23:13,400 --> 00:23:16,840 Speaker 1: his his crazy things. And it's about the Baltic Dry Index. 406 00:23:16,880 --> 00:23:20,880 Speaker 1: You know, it's the index of prices for cargo ships. 407 00:23:21,520 --> 00:23:23,879 Speaker 1: People very often bury. I don't know if you've ever 408 00:23:23,920 --> 00:23:25,840 Speaker 1: done this, but people try to sort of force this 409 00:23:25,920 --> 00:23:29,120 Speaker 1: sort of macro signal onto it when you really shouldn't 410 00:23:29,160 --> 00:23:33,040 Speaker 1: because of There'sola Superviolatl and there's sort of you know, 411 00:23:33,280 --> 00:23:36,639 Speaker 1: supplying demand issues within the shipping industry. Fuel prices are 412 00:23:36,640 --> 00:23:38,520 Speaker 1: a big deal this year. They're moving to a more 413 00:23:38,600 --> 00:23:41,800 Speaker 1: environmentally friendly fuel. But if you were to take this 414 00:23:41,920 --> 00:23:44,200 Speaker 1: as a macro indicator, it would look like the Great 415 00:23:44,200 --> 00:23:47,520 Speaker 1: Depression right now. The thing is just completely collapsed. One 416 00:23:47,560 --> 00:23:52,320 Speaker 1: day decline or something. The Baltic Cape size index fell 417 00:23:54,040 --> 00:23:57,040 Speaker 1: one day. But here's that. That's not even the crazy part. 418 00:23:57,080 --> 00:24:00,800 Speaker 1: Here's the crazy part is there's this website call Splash 419 00:24:00,960 --> 00:24:03,040 Speaker 1: two four or seven, I'm sure you read it, Splash 420 00:24:03,080 --> 00:24:08,320 Speaker 1: two f seven, industry website that checks these things. And 421 00:24:08,359 --> 00:24:12,120 Speaker 1: they tracked what's called back hall cargo ships and they 422 00:24:12,200 --> 00:24:16,880 Speaker 1: found that the rates for back hall cargo ships were 423 00:24:17,359 --> 00:24:20,200 Speaker 1: negative eleven thousand dollars a day. So it's like the 424 00:24:20,200 --> 00:24:23,399 Speaker 1: the negative yielding bond of the ship in world. In 425 00:24:23,480 --> 00:24:26,959 Speaker 1: other words, you could charter out your boat to someone 426 00:24:27,200 --> 00:24:29,399 Speaker 1: and you have to pay them eleven thousand dollars a 427 00:24:29,440 --> 00:24:31,200 Speaker 1: day to do it. And I was trying to wrap 428 00:24:31,200 --> 00:24:34,119 Speaker 1: my head around why This possibly could be the idea 429 00:24:34,200 --> 00:24:39,320 Speaker 1: that people don't want to move into a region that well, 430 00:24:39,840 --> 00:24:42,399 Speaker 1: go on, go on, move into a region in which 431 00:24:42,480 --> 00:24:45,080 Speaker 1: you have a virus that is spreading. So if people 432 00:24:45,119 --> 00:24:47,119 Speaker 1: don't want to go there, you would potentially have to 433 00:24:47,119 --> 00:24:49,479 Speaker 1: pay them. I think that is a big part of it. 434 00:24:49,480 --> 00:24:54,520 Speaker 1: It's they call it uh ships repositioning. So I guess 435 00:24:54,520 --> 00:24:58,560 Speaker 1: the the cargo lines from say l A to Asia 436 00:24:59,480 --> 00:25:02,840 Speaker 1: I just been shut down for now, and so these 437 00:25:02,840 --> 00:25:06,520 Speaker 1: ships are repositioning from the Pacific to the Atlantic. So 438 00:25:06,800 --> 00:25:09,480 Speaker 1: for that privilege, the owner has to pay someone eleven 439 00:25:09,520 --> 00:25:11,159 Speaker 1: eleven grand basically to move him. So if only I 440 00:25:11,240 --> 00:25:13,359 Speaker 1: knew how to drive a boat, I'd be uh a, 441 00:25:13,359 --> 00:25:16,120 Speaker 1: you're gonna get into the business. Mike's going to be gone. 442 00:25:16,119 --> 00:25:19,159 Speaker 1: Next He'll be calling in from a ship in the 443 00:25:19,160 --> 00:25:23,480 Speaker 1: middle of the ocean. Uh eleven grand to day. I'm 444 00:25:23,520 --> 00:25:26,359 Speaker 1: gonna go get my I like the London Trader story better. Okay, 445 00:25:26,640 --> 00:25:28,720 Speaker 1: they're they're both good. It's pretty good. They're both good. 446 00:25:28,800 --> 00:25:30,159 Speaker 1: Would you say it's enough for him to win the 447 00:25:30,800 --> 00:25:40,280 Speaker 1: definitely not anyone but Mike. Oh, Mike is the judge. 448 00:25:41,240 --> 00:25:47,359 Speaker 1: Always a little bit of a biased competition. There was 449 00:25:47,440 --> 00:25:50,359 Speaker 1: never even really supposed to be a competition, but then 450 00:25:50,400 --> 00:25:55,160 Speaker 1: I just kept paying. Yeah yeah, yeah. But with that said, 451 00:25:55,160 --> 00:25:57,440 Speaker 1: it said they were all good this week for a 452 00:25:57,480 --> 00:26:00,359 Speaker 1: way time. Yeah, we'll leave it there for now. Sally Berry, 453 00:26:00,400 --> 00:26:01,760 Speaker 1: thank you so much for coming on the show this 454 00:26:02,520 --> 00:26:12,520 Speaker 1: Thank you What Goes Up. We'll be back next week. 455 00:26:12,760 --> 00:26:15,040 Speaker 1: Until then, you can find us on the Bloomberg Terminal 456 00:26:15,119 --> 00:26:18,560 Speaker 1: website and app, or wherever you get your podcasts. We'd 457 00:26:18,600 --> 00:26:20,520 Speaker 1: love it if you took the time to rate interview 458 00:26:20,520 --> 00:26:23,439 Speaker 1: the show on Apple podcast so more listeners can find us. 459 00:26:23,840 --> 00:26:26,159 Speaker 1: And you can find us on Twitter, follow me at 460 00:26:26,359 --> 00:26:29,760 Speaker 1: at therapont seck Mike is that anonymous and you can 461 00:26:29,800 --> 00:26:34,320 Speaker 1: also follow Bloomberg Podcasts at podcasts. What Goes Up is 462 00:26:34,359 --> 00:26:37,320 Speaker 1: produced by Toper Foreheads. The head of Bloomberg podcast is 463 00:26:37,320 --> 00:27:00,800 Speaker 1: princesco Levie. Thanks for listening, See you next time. Fo