1 00:00:01,360 --> 00:00:04,120 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Swiney, along 2 00:00:04,120 --> 00:00:06,200 Speaker 1: with my co host of Bonnie Quinn. Every business day 3 00:00:06,240 --> 00:00:10,320 Speaker 1: we bring you interviews from CEOs, market pros, and Bloomberg experts, 4 00:00:10,400 --> 00:00:13,600 Speaker 1: along with essential market moving news. Find the Bloomberg Markets 5 00:00:13,600 --> 00:00:17,000 Speaker 1: Podcast on Apple Podcasts or wherever you listen to podcasts, 6 00:00:17,000 --> 00:00:21,040 Speaker 1: and on Bloomberg dot com find I'm looking at the 7 00:00:21,120 --> 00:00:23,800 Speaker 1: chart of w t I crude here looking back. Just 8 00:00:23,840 --> 00:00:27,560 Speaker 1: since during the month of September, uh w t I 9 00:00:27,600 --> 00:00:30,360 Speaker 1: has gone from about forty three dollars a barrel down 10 00:00:30,360 --> 00:00:33,360 Speaker 1: to where we are today at thirty seven sixty five barrel, 11 00:00:33,400 --> 00:00:36,320 Speaker 1: so quite a move down. When we talk oil, we 12 00:00:36,400 --> 00:00:39,280 Speaker 1: talked supply models, we talked demand models, and when we 13 00:00:39,320 --> 00:00:41,680 Speaker 1: do that, there's no one better to chat with than 14 00:00:41,720 --> 00:00:44,640 Speaker 1: Stephen Short, President of the Short Group. Steven, thanks so 15 00:00:44,680 --> 00:00:47,559 Speaker 1: much for joining us here. Again, this is a commodity 16 00:00:47,560 --> 00:00:49,360 Speaker 1: that had been trading in north of forty dollars a 17 00:00:49,440 --> 00:00:52,680 Speaker 1: barrel pretty consistently. Now we pulled back to under thirty eight. 18 00:00:52,880 --> 00:00:55,480 Speaker 1: What's going on in the global oil market? We have 19 00:00:55,560 --> 00:00:58,920 Speaker 1: to keep in mind all commodity markets trade in seasonal blocks, 20 00:00:59,080 --> 00:01:01,120 Speaker 1: so of course back in the spring we had that 21 00:01:01,160 --> 00:01:05,360 Speaker 1: that debacle with oil prices going negative. Then we snapped 22 00:01:05,400 --> 00:01:08,840 Speaker 1: back and we stayed in that forty low forty mid 23 00:01:08,880 --> 00:01:12,680 Speaker 1: forty dollar range for the entire summer. Now, the problem 24 00:01:12,800 --> 00:01:15,800 Speaker 1: was the summer is your peak demand season for oil 25 00:01:15,840 --> 00:01:19,480 Speaker 1: for gasoline, and on that snap back from the debacle, 26 00:01:19,840 --> 00:01:22,400 Speaker 1: we only got as high as to where we were 27 00:01:22,480 --> 00:01:26,600 Speaker 1: right before prices tanked, so we couldn't get much higher 28 00:01:26,640 --> 00:01:29,120 Speaker 1: and we stayed in a very tight range. We demand 29 00:01:29,480 --> 00:01:33,000 Speaker 1: historically is at its highest, but of course this is 30 00:01:33,000 --> 00:01:36,399 Speaker 1: not a normal year. Demand for crude oil average two 31 00:01:36,440 --> 00:01:39,480 Speaker 1: point five to two point seven million barrels a day 32 00:01:39,520 --> 00:01:43,160 Speaker 1: below normal. Now that we have the Labor Day holiday, 33 00:01:43,200 --> 00:01:46,640 Speaker 1: it's September, we now go into that next seasonal block. 34 00:01:46,760 --> 00:01:49,680 Speaker 1: We're going from the peak demand season to the negative 35 00:01:49,880 --> 00:01:53,120 Speaker 1: of the demand season. So over the next two months, 36 00:01:53,160 --> 00:01:57,440 Speaker 1: as refineries go into their maintenance season they buy fewer barrels, 37 00:01:57,640 --> 00:02:00,640 Speaker 1: we'll see demand dropped by an additional nine hundred thousands 38 00:02:00,680 --> 00:02:03,480 Speaker 1: to a million barrels a day. So it's clearly a 39 00:02:03,520 --> 00:02:06,960 Speaker 1: demand story right now. The US producer has done a 40 00:02:07,080 --> 00:02:10,320 Speaker 1: great job taking two million barrels a day of production 41 00:02:10,440 --> 00:02:13,239 Speaker 1: out of the market. But as I said before, it's 42 00:02:13,280 --> 00:02:17,079 Speaker 1: not good enough because demand is still greater than two 43 00:02:17,120 --> 00:02:19,360 Speaker 1: million barrels a day. So the producer has done a 44 00:02:19,400 --> 00:02:22,000 Speaker 1: great job, but they're gonna have to continue. And it's 45 00:02:22,040 --> 00:02:24,560 Speaker 1: all about the demand right now, and we're going into 46 00:02:24,600 --> 00:02:28,040 Speaker 1: the weakest demand part of the year. How in the 47 00:02:28,120 --> 00:02:32,440 Speaker 1: longer run does China impact things? China we know it 48 00:02:32,520 --> 00:02:36,480 Speaker 1: wants to increase it's reserves of crude beginning in one 49 00:02:36,480 --> 00:02:40,560 Speaker 1: does that impact US producers at all? Absolutely? The US 50 00:02:40,680 --> 00:02:44,280 Speaker 1: now is of course a virgin in UH exporter of 51 00:02:44,400 --> 00:02:48,280 Speaker 1: crude oil, and in fact, since last October, five out 52 00:02:48,280 --> 00:02:50,560 Speaker 1: of every nine weeks, the US has been a net 53 00:02:50,560 --> 00:02:54,359 Speaker 1: exporter that is, petroleum products, which is not news. Now 54 00:02:54,440 --> 00:02:57,280 Speaker 1: States has been a net export of petroleum products guestline 55 00:02:57,320 --> 00:02:59,960 Speaker 1: diesel for a number of years. Now what has chain 56 00:03:00,040 --> 00:03:02,639 Speaker 1: change days over the year. We're now an exporter of 57 00:03:02,800 --> 00:03:05,359 Speaker 1: crude oil. So five out of the nine weeks we 58 00:03:05,440 --> 00:03:08,240 Speaker 1: have more oil going out of the Nited States than 59 00:03:08,360 --> 00:03:10,959 Speaker 1: coming in. And of course with China, a lot of 60 00:03:11,000 --> 00:03:14,440 Speaker 1: that oil is destined for those markets. Oil at these 61 00:03:14,600 --> 00:03:18,040 Speaker 1: levels are is competitive for the Chinese consumer. So that's 62 00:03:18,080 --> 00:03:22,200 Speaker 1: certainly when we transition back into the demand season. We'll 63 00:03:22,280 --> 00:03:24,920 Speaker 1: see a peak later in this year as we get 64 00:03:24,960 --> 00:03:28,239 Speaker 1: into the holidays, then we'll go into another decline in 65 00:03:28,320 --> 00:03:31,320 Speaker 1: demand through the first quarter, and then we look ahead 66 00:03:31,360 --> 00:03:34,160 Speaker 1: to the winter and demand picks up again. So clearly, 67 00:03:34,280 --> 00:03:37,279 Speaker 1: out in the long run, China certainly is a significant 68 00:03:37,920 --> 00:03:42,600 Speaker 1: force the supportive of US energy production. Steven, aside from 69 00:03:42,600 --> 00:03:47,200 Speaker 1: the seasonal qualities or variabilities, is there a sense do 70 00:03:47,200 --> 00:03:50,360 Speaker 1: you have a sense that demand for oil post pandemic 71 00:03:50,520 --> 00:03:54,040 Speaker 1: will in fact be structurally lower. Yes, absolutely, I think 72 00:03:54,120 --> 00:03:55,960 Speaker 1: this is the way we've been going in a number 73 00:03:56,000 --> 00:03:59,600 Speaker 1: of years. The oil market is clearly a a twilight 74 00:03:59,800 --> 00:04:04,480 Speaker 1: in history as we make greater uh stribes for technology, 75 00:04:05,200 --> 00:04:09,720 Speaker 1: electric hybrid so forth, battery storage. Uh. Clearly, this is 76 00:04:09,840 --> 00:04:13,320 Speaker 1: the market was moving there naturally, especially when you look 77 00:04:13,360 --> 00:04:16,440 Speaker 1: at like I'm a dinosaur. I'm in my fifties, but 78 00:04:16,600 --> 00:04:19,720 Speaker 1: my children, all of our children, UH that they want 79 00:04:19,760 --> 00:04:22,440 Speaker 1: they're they're making the push. That's where your next market 80 00:04:22,560 --> 00:04:25,800 Speaker 1: segment is for the next generation. So clearly we were 81 00:04:25,800 --> 00:04:28,640 Speaker 1: already moving in that direction, and I think what we've 82 00:04:28,720 --> 00:04:31,559 Speaker 1: seen now in the pandemic, I think that will even 83 00:04:32,000 --> 00:04:35,440 Speaker 1: further it along at a quicker pace Stephen. How many 84 00:04:35,480 --> 00:04:37,840 Speaker 1: more bankruptcies are we going to see or what kind 85 00:04:37,880 --> 00:04:40,200 Speaker 1: of consolidation are we going to see before the pandemic 86 00:04:40,320 --> 00:04:44,560 Speaker 1: is over. Absolutely so. When we had our original downturn 87 00:04:44,640 --> 00:04:49,080 Speaker 1: in oil prices and then followed again earlier this year, 88 00:04:49,480 --> 00:04:52,760 Speaker 1: all the concern was for the smaller shell producer. But 89 00:04:52,839 --> 00:04:55,080 Speaker 1: now we're starting to see some of the big boys 90 00:04:55,480 --> 00:04:59,120 Speaker 1: in the room. They're struggling. Uh you know the latest 91 00:04:59,160 --> 00:05:01,320 Speaker 1: news being x on are they are they not going 92 00:05:01,400 --> 00:05:04,360 Speaker 1: to cut the dividend? How many employees are they going 93 00:05:04,480 --> 00:05:06,560 Speaker 1: to lay off? Now? I'm not saying the big guys 94 00:05:06,640 --> 00:05:10,760 Speaker 1: are going going down the tubes, but certainly the smaller producer. 95 00:05:11,200 --> 00:05:14,160 Speaker 1: I think we've we've we've seen the bankruptcy is already, 96 00:05:14,400 --> 00:05:18,160 Speaker 1: We're seeing consolidation, and as we take in I'm fearful 97 00:05:18,440 --> 00:05:21,960 Speaker 1: we take another leg down during this the nature of demand. 98 00:05:22,000 --> 00:05:24,479 Speaker 1: Over the next two months, we see oil back into 99 00:05:24,520 --> 00:05:27,160 Speaker 1: the mid to low thirties, potentially back into the twenties, 100 00:05:27,480 --> 00:05:31,479 Speaker 1: and certainly that's going to hasten another I think round 101 00:05:31,520 --> 00:05:36,320 Speaker 1: of consolidation in this industry. And of course we continue 102 00:05:36,400 --> 00:05:39,599 Speaker 1: to get inventory reports, a couple of them per week, 103 00:05:39,680 --> 00:05:41,520 Speaker 1: so we will keep a very very close eye on 104 00:05:41,560 --> 00:05:44,039 Speaker 1: the oil prices right now still in New York below 105 00:05:44,400 --> 00:05:47,239 Speaker 1: forty a barrel. Or thanks very much to Stephen Shork 106 00:05:47,640 --> 00:05:50,280 Speaker 1: coming to us all the way from Villanova, Pennsylvania. Or 107 00:05:50,440 --> 00:05:52,680 Speaker 1: is thrilled to have the editor of the short report on. 108 00:05:55,120 --> 00:05:58,080 Speaker 1: So it appears that some employees that JP Morgan Chase 109 00:05:58,160 --> 00:06:00,720 Speaker 1: and may have had on some very naughty thing. It's 110 00:06:01,000 --> 00:06:03,680 Speaker 1: really quite a disturbing story. And Michelle Davison's freetar and 111 00:06:03,760 --> 00:06:06,919 Speaker 1: not a rag and investigated and found that JP Morgan 112 00:06:06,960 --> 00:06:09,760 Speaker 1: found some of its employees and probably applied for and 113 00:06:09,960 --> 00:06:15,800 Speaker 1: received COVID relief money that was intended for legitimate US businesses. So, 114 00:06:15,880 --> 00:06:19,480 Speaker 1: Michelle Davis, welcome and thanks for a phenomenal story. Please 115 00:06:19,520 --> 00:06:23,920 Speaker 1: give us some of the details. Yeah. So JP Morgan 116 00:06:24,040 --> 00:06:27,080 Speaker 1: earlier this week surprised a lot of folks when they 117 00:06:27,279 --> 00:06:29,560 Speaker 1: spent out a memo to all two d fifty six 118 00:06:29,600 --> 00:06:33,080 Speaker 1: thousand of their workers saying that they had found instances 119 00:06:33,160 --> 00:06:36,560 Speaker 1: in which customers had misused government relief programs. And they 120 00:06:36,600 --> 00:06:39,400 Speaker 1: said that they were probing employees involvement in that. And 121 00:06:39,920 --> 00:06:42,520 Speaker 1: this memo earlier in the week didn't satisfy exactly what 122 00:06:42,760 --> 00:06:45,520 Speaker 1: employees had done. But a store is confirmed to us 123 00:06:45,720 --> 00:06:49,880 Speaker 1: wait yesterday that JP Morgan found that employees had some 124 00:06:49,960 --> 00:06:53,160 Speaker 1: of the employees had improperly applied for and received funds 125 00:06:53,200 --> 00:06:56,600 Speaker 1: as part of the Economic Injury Disafter Loan Program or 126 00:06:57,120 --> 00:07:00,680 Speaker 1: the ideal for short. That program is different from the 127 00:07:00,760 --> 00:07:03,680 Speaker 1: p p P program that has gotten a lot more 128 00:07:03,720 --> 00:07:07,360 Speaker 1: press coverage. UM you know the Small Business Administration's program 129 00:07:07,480 --> 00:07:10,920 Speaker 1: that UH provided forgivable loans to businesses through the e 130 00:07:11,080 --> 00:07:14,200 Speaker 1: I d L program, Businesses could basically get grants of 131 00:07:14,880 --> 00:07:17,800 Speaker 1: one dollar to ten thousand dollars um as long as 132 00:07:17,840 --> 00:07:21,240 Speaker 1: they applied directly through the s b A. And with 133 00:07:21,560 --> 00:07:26,800 Speaker 1: this program, UH, companies didn't have to apply through banks. 134 00:07:26,880 --> 00:07:28,840 Speaker 1: The money was just dis first directly to the applicants. 135 00:07:28,880 --> 00:07:30,680 Speaker 1: The only requirement was that they had a bank account. 136 00:07:30,720 --> 00:07:34,480 Speaker 1: And so what we found was that JP Morgan discovered 137 00:07:34,560 --> 00:07:36,320 Speaker 1: this fraud because it turns up that some of their 138 00:07:36,360 --> 00:07:40,880 Speaker 1: employees had fraudulently received this money and it had been 139 00:07:40,920 --> 00:07:44,400 Speaker 1: deposited into their checking accounts, into their personal JP Morgan 140 00:07:44,520 --> 00:07:48,040 Speaker 1: checking accounts, and so JP Morgan's discovered it because they 141 00:07:48,440 --> 00:07:50,680 Speaker 1: were on the alert to look out for fraud in 142 00:07:50,720 --> 00:07:53,960 Speaker 1: this program. These people have now been let go. But 143 00:07:54,080 --> 00:07:56,840 Speaker 1: we understand that JP Morgan has found a ton of 144 00:07:56,920 --> 00:08:00,800 Speaker 1: fraud among its customer base across UH all of the 145 00:08:00,920 --> 00:08:04,800 Speaker 1: government relief programs that were ruled out because of COVID, 146 00:08:05,040 --> 00:08:07,440 Speaker 1: not only to PPP but also the ideals as we 147 00:08:07,520 --> 00:08:11,160 Speaker 1: were just talking about, and also through unemployment benefit some 148 00:08:11,320 --> 00:08:14,640 Speaker 1: shows already. Are these just random employees within the sprawling 149 00:08:14,760 --> 00:08:18,920 Speaker 1: JPMorgan complex or is there some kind of systematic issue here. 150 00:08:19,920 --> 00:08:24,440 Speaker 1: So what we understand is that the employees that participated 151 00:08:24,440 --> 00:08:27,040 Speaker 1: in this, we're not acting as agents of the bank. 152 00:08:27,080 --> 00:08:30,120 Speaker 1: It's it's not like they were, you know, people in 153 00:08:30,240 --> 00:08:33,719 Speaker 1: charge of applying of approving p PP loans and you 154 00:08:33,800 --> 00:08:37,199 Speaker 1: know they knowingly allowed fraud to happen. This seems like 155 00:08:37,640 --> 00:08:41,160 Speaker 1: employees that we're just randomly scattered across the bank that 156 00:08:41,280 --> 00:08:45,439 Speaker 1: saw an opportunity to get money basically free money out 157 00:08:45,480 --> 00:08:48,440 Speaker 1: of the I d L program and you know, applied 158 00:08:48,480 --> 00:08:52,599 Speaker 1: for and received this money. Um, we also understand that 159 00:08:52,840 --> 00:08:55,800 Speaker 1: of the fraud JP Morgan has found so far, and 160 00:08:56,200 --> 00:08:59,680 Speaker 1: they're they're still working with authorities right now to monitor 161 00:08:59,840 --> 00:09:01,680 Speaker 1: check the accounts, just you know, to see if there's 162 00:09:01,679 --> 00:09:05,120 Speaker 1: any suspicious behavior, suspicious amounts of money hitting people's checking 163 00:09:05,160 --> 00:09:09,360 Speaker 1: accounts or or you know, being used to purchase Lamborghinis 164 00:09:09,440 --> 00:09:11,880 Speaker 1: or what have you. Um, it's our understanding that all 165 00:09:11,960 --> 00:09:14,079 Speaker 1: of that that they're looking at right now, of that, 166 00:09:14,320 --> 00:09:19,240 Speaker 1: only a small percentage has been tied back to employees. Right. 167 00:09:19,360 --> 00:09:22,320 Speaker 1: In the memo sent out to staff on Tuesday, Javie 168 00:09:22,320 --> 00:09:25,000 Speaker 1: Morgan said it identified conduct by customers that didn't make 169 00:09:25,040 --> 00:09:27,040 Speaker 1: different sils and may even believe illegal, and that some 170 00:09:27,160 --> 00:09:30,839 Speaker 1: employees had fallen shorths on ethical standards to However, for 171 00:09:30,920 --> 00:09:33,480 Speaker 1: this story, a spokeswoman declined to comment. Do we know 172 00:09:33,880 --> 00:09:38,600 Speaker 1: roughly how many actual employees took the ideal funds? Michelle? 173 00:09:38,640 --> 00:09:40,959 Speaker 1: Do any idea whether this is just a small number 174 00:09:41,440 --> 00:09:44,400 Speaker 1: that you know, may have taken a thousand dollars or 175 00:09:44,400 --> 00:09:48,599 Speaker 1: two thousand dollars and will be taken care of immediately 176 00:09:48,720 --> 00:09:51,760 Speaker 1: when they're identified, I'm sure by Japan Morgan, or if 177 00:09:51,800 --> 00:09:54,160 Speaker 1: it's if it's actually a lot more widespread than that. 178 00:09:55,640 --> 00:09:59,719 Speaker 1: At this point, we don't know. We know that it's several, um, 179 00:10:00,040 --> 00:10:04,600 Speaker 1: but that's as much as we know. Uh. The one 180 00:10:04,920 --> 00:10:07,760 Speaker 1: right spot is that the e I d L program, 181 00:10:08,240 --> 00:10:11,040 Speaker 1: which seems to have been the most heavily abused um 182 00:10:12,040 --> 00:10:15,679 Speaker 1: in terms of fraud. Uh the money ran, It ran 183 00:10:15,720 --> 00:10:18,800 Speaker 1: out of money in the middle of July. So it 184 00:10:18,920 --> 00:10:21,320 Speaker 1: doesn't seem like, you know, there's a chance that more 185 00:10:21,360 --> 00:10:24,160 Speaker 1: fraud is going to be committed. It's just there might 186 00:10:24,200 --> 00:10:28,360 Speaker 1: be more fraud detected at this point. So Muchel, you 187 00:10:28,720 --> 00:10:31,320 Speaker 1: mentioned that, are you reported that the bank had fired 188 00:10:31,400 --> 00:10:34,040 Speaker 1: these employees. Is what's been the overall response from the 189 00:10:34,120 --> 00:10:41,760 Speaker 1: institution here. Uh So, my understanding is that JT. Morrigan, 190 00:10:42,400 --> 00:10:45,760 Speaker 1: in disclosing to employees all two d fifty six global 191 00:10:46,320 --> 00:10:49,240 Speaker 1: two hundred fifty six thousand global employees and disclosing this, 192 00:10:49,679 --> 00:10:52,400 Speaker 1: they went against the grain. You know, you don't normally 193 00:10:52,440 --> 00:10:56,000 Speaker 1: see a bank telling people, you know, are some of 194 00:10:56,040 --> 00:10:58,120 Speaker 1: our employees may have done illegal things and a lot 195 00:10:58,120 --> 00:11:00,480 Speaker 1: of our customers have done illegal things. And what we 196 00:11:00,600 --> 00:11:04,839 Speaker 1: understand is that the bank's leaders kind of made a 197 00:11:05,040 --> 00:11:08,199 Speaker 1: calculation where they thought, Okay, this could hit our reputation 198 00:11:08,360 --> 00:11:11,640 Speaker 1: by disclosing this. But the view was that it made 199 00:11:11,679 --> 00:11:15,600 Speaker 1: more sense to tell employees to be alert for fraud 200 00:11:15,720 --> 00:11:19,679 Speaker 1: so that they could help catch it, um than just 201 00:11:19,800 --> 00:11:22,920 Speaker 1: staying silent. So that is that explains some of why 202 00:11:22,960 --> 00:11:26,440 Speaker 1: they did this. Yeah, so so according to your source, 203 00:11:26,600 --> 00:11:31,240 Speaker 1: the bank does you know, has already fired people that 204 00:11:31,320 --> 00:11:36,160 Speaker 1: it believes improperly tap the money, correct, Michelle, that's correct. Yeah, 205 00:11:36,520 --> 00:11:39,839 Speaker 1: I understand that there's still they're they're still investigating, so 206 00:11:40,720 --> 00:11:42,920 Speaker 1: there could be more people fired, but at this point, 207 00:11:43,000 --> 00:11:45,160 Speaker 1: the people that have been confirmed to have committed fraud, 208 00:11:45,360 --> 00:11:47,840 Speaker 1: they have been let go. Michelle, thank you so much 209 00:11:47,880 --> 00:11:51,320 Speaker 1: for that. We really appreciate this excellent reporting. Michelle Davis, 210 00:11:51,400 --> 00:11:54,120 Speaker 1: financial porter for Bloomberg News. Just a crazy story of Annie. 211 00:11:54,559 --> 00:11:57,079 Speaker 1: I guess there's so much money slashing around there that 212 00:11:57,160 --> 00:12:00,200 Speaker 1: there's bound to be fraud throughout the system. But again, 213 00:12:00,200 --> 00:12:02,560 Speaker 1: when you see it at the bank, lebots a little. Yeah. 214 00:12:02,600 --> 00:12:05,320 Speaker 1: I mean, it's it's terribly sad. It's very very disturbing. 215 00:12:05,520 --> 00:12:08,720 Speaker 1: It takes away grants and loans from people who really 216 00:12:08,800 --> 00:12:11,319 Speaker 1: needed it as opposed to be get over employed therefore 217 00:12:11,640 --> 00:12:13,760 Speaker 1: presumably didn't also have a small business on the side 218 00:12:13,920 --> 00:12:19,640 Speaker 1: or need it, and it's just it's just terrifying. Well, 219 00:12:19,720 --> 00:12:22,000 Speaker 1: let's start with the US economic data. Plenty to talk 220 00:12:22,040 --> 00:12:24,599 Speaker 1: about in Europe today as well, but this morning we 221 00:12:24,679 --> 00:12:26,960 Speaker 1: got initial topless claims coming in a little more than 222 00:12:27,040 --> 00:12:31,280 Speaker 1: expected eight hundred eighty four thousand, continuing claims much higher 223 00:12:31,600 --> 00:12:35,080 Speaker 1: thirteen point three eight five million. And we also got 224 00:12:35,200 --> 00:12:39,600 Speaker 1: p p I data a little higher than expected both 225 00:12:39,880 --> 00:12:43,520 Speaker 1: for the final demand month over month headline figure and 226 00:12:43,640 --> 00:12:46,240 Speaker 1: also you know ex food and energy year over year, 227 00:12:46,280 --> 00:12:48,400 Speaker 1: which rules quite substantially. Let's bring in someone who can 228 00:12:48,480 --> 00:12:50,319 Speaker 1: make sensible all this for a Steve Blitz is chief 229 00:12:50,440 --> 00:12:54,680 Speaker 1: US economist for T. S. Lombard. Steve, can we begin 230 00:12:54,760 --> 00:12:56,599 Speaker 1: with the p p I data, because we all know 231 00:12:56,760 --> 00:12:59,559 Speaker 1: that the labor market is in a terrible way. What 232 00:12:59,760 --> 00:13:05,320 Speaker 1: does the PPI data say about inflation? Nothing? It says 233 00:13:05,320 --> 00:13:08,640 Speaker 1: a lot of It says a lot about prices. UM, 234 00:13:08,960 --> 00:13:12,760 Speaker 1: and there's a difference between prices and inflation. And what 235 00:13:12,920 --> 00:13:17,120 Speaker 1: the p p I is reflecting is shortages and supply 236 00:13:17,320 --> 00:13:21,280 Speaker 1: chain issues that are still um kind of getting back 237 00:13:21,840 --> 00:13:25,720 Speaker 1: online in some case, in some cases still disrupted. Uh. 238 00:13:25,960 --> 00:13:28,120 Speaker 1: And you've got a big rush to get back to 239 00:13:28,559 --> 00:13:30,640 Speaker 1: produce things because he was shut down for a while. 240 00:13:30,720 --> 00:13:35,160 Speaker 1: So UM. I think of these price changes really as 241 00:13:35,280 --> 00:13:38,400 Speaker 1: healthy in the sense that this is doing what the 242 00:13:39,280 --> 00:13:42,760 Speaker 1: FED prevents the capital markets from doing, which is price 243 00:13:42,920 --> 00:13:47,240 Speaker 1: changes to direct effort and money and all that. Uh. 244 00:13:47,559 --> 00:13:50,520 Speaker 1: In different directions, and that's where the well functioning market 245 00:13:50,559 --> 00:13:54,000 Speaker 1: economy does so. So Steve, when you say nothing in 246 00:13:54,160 --> 00:13:57,199 Speaker 1: terms of inflation, explained to us the p p i 247 00:13:57,760 --> 00:14:00,640 Speaker 1: X food and energy, so all other goods. Doucers are 248 00:14:00,679 --> 00:14:04,840 Speaker 1: paying point six more in August than they were last year, 249 00:14:06,040 --> 00:14:08,880 Speaker 1: and economist are looking for them to paying point more. 250 00:14:09,040 --> 00:14:12,240 Speaker 1: How is that not more difficult for producers to pay 251 00:14:12,400 --> 00:14:18,640 Speaker 1: and therefore inflationary well, because over time the prices that 252 00:14:18,840 --> 00:14:22,920 Speaker 1: they are paying for these inputs will go down as 253 00:14:23,000 --> 00:14:28,480 Speaker 1: supply chains come back on. In addition, you talk about 254 00:14:29,160 --> 00:14:34,760 Speaker 1: moving those prices forward with high levels of unemployment, where 255 00:14:34,760 --> 00:14:38,000 Speaker 1: you're continuing to add people to the unemployment roles in 256 00:14:38,320 --> 00:14:42,120 Speaker 1: terms of initial well above the prior recession. UH, then 257 00:14:42,920 --> 00:14:47,000 Speaker 1: the demand side, broadly speaking, it's going to be weak. 258 00:14:47,920 --> 00:14:51,920 Speaker 1: And so that is not a combination that is going 259 00:14:52,040 --> 00:14:56,520 Speaker 1: to allow firms to pass through these prices and sustain margins. 260 00:14:57,080 --> 00:15:00,200 Speaker 1: So their input costs will go down over time as 261 00:15:00,320 --> 00:15:04,680 Speaker 1: these UH supply issues change and the demand's not going 262 00:15:04,720 --> 00:15:07,320 Speaker 1: to be there. And that's why I say it's not inflation. 263 00:15:07,840 --> 00:15:12,120 Speaker 1: Inflation in this country. You get inflation when you've got 264 00:15:12,240 --> 00:15:16,200 Speaker 1: a lot of leverage buying going on, uh to buy 265 00:15:16,320 --> 00:15:20,360 Speaker 1: real goods and UH, that kind of leverage is what 266 00:15:20,800 --> 00:15:23,440 Speaker 1: this is what Defense been trying to create for the 267 00:15:23,560 --> 00:15:27,760 Speaker 1: last and odd years. Uh. That's when you start to 268 00:15:27,840 --> 00:15:31,960 Speaker 1: get a real inflation. Uh, this is just price changes. 269 00:15:32,760 --> 00:15:36,160 Speaker 1: Prices are up, now, prices can go down. All right, Steve, 270 00:15:36,240 --> 00:15:38,080 Speaker 1: let's switch. Here is a little bit and more data 271 00:15:38,160 --> 00:15:41,800 Speaker 1: this morning out the jobless claims UH came in at 272 00:15:41,840 --> 00:15:46,840 Speaker 1: eight thousand. The expectation consensus was eight. Give us your 273 00:15:46,920 --> 00:15:49,440 Speaker 1: sense of kind of where we are in the jobs market, 274 00:15:49,480 --> 00:15:55,280 Speaker 1: seems like or at the stubbornly high level of jobless claims. Yeah. 275 00:15:55,560 --> 00:16:00,320 Speaker 1: And as I mentioned just before, I think sick hundred 276 00:16:00,320 --> 00:16:02,640 Speaker 1: and eighty thousand or something was the peak month of 277 00:16:02,760 --> 00:16:06,480 Speaker 1: January of two thousand nine in the last procession. So 278 00:16:06,640 --> 00:16:09,920 Speaker 1: that just tells you how high this initial claims number 279 00:16:09,960 --> 00:16:16,920 Speaker 1: really is. UH. And that was ten unemployment. Now you've 280 00:16:17,000 --> 00:16:20,040 Speaker 1: got two job markets, and that's what makes these gross 281 00:16:20,360 --> 00:16:24,040 Speaker 1: backgrod numbers so difficult to discern. You've got the people 282 00:16:24,080 --> 00:16:27,280 Speaker 1: who are temporarily laid off back in the spring, and 283 00:16:27,400 --> 00:16:31,040 Speaker 1: about half of them are back on the job. As 284 00:16:31,240 --> 00:16:34,560 Speaker 1: the reopenings continue, I would expect more people to get 285 00:16:34,600 --> 00:16:36,920 Speaker 1: back on the job. And that's all a very very 286 00:16:37,040 --> 00:16:41,840 Speaker 1: positive event. By the same token, there is an emerging 287 00:16:42,040 --> 00:16:47,200 Speaker 1: recession as firms recalibrate their expectations for growth going forward, 288 00:16:47,600 --> 00:16:50,480 Speaker 1: but to build back cash loss in Q two all 289 00:16:50,560 --> 00:16:55,280 Speaker 1: sorts of things, and the number of people who are 290 00:16:55,400 --> 00:16:59,040 Speaker 1: unemployed and say their jobs have been permanently lost is 291 00:16:59,120 --> 00:17:03,240 Speaker 1: up over four million. It jump in August. Uh, if 292 00:17:03,280 --> 00:17:07,600 Speaker 1: you go back to April, that huge number of people 293 00:17:07,720 --> 00:17:11,040 Speaker 1: got unemployed. A of that was people said that job 294 00:17:11,119 --> 00:17:15,360 Speaker 1: loss was temporary. What I have been saying since April 295 00:17:15,560 --> 00:17:19,200 Speaker 1: and still saying and watching, it's the permanent job loss 296 00:17:19,720 --> 00:17:24,320 Speaker 1: because that's the number that reflects an underlying recessionary environment 297 00:17:25,000 --> 00:17:28,399 Speaker 1: that as the reopening start to fade simply because you know, 298 00:17:28,480 --> 00:17:31,080 Speaker 1: everything's reopened there has reopened as much as people feel 299 00:17:31,119 --> 00:17:36,120 Speaker 1: safe to reopen everything, um, that number and the impact 300 00:17:36,240 --> 00:17:41,840 Speaker 1: that that number has on spending, etcetera will begin to 301 00:17:42,680 --> 00:17:47,840 Speaker 1: dominate the data. So, Steve, what should we be looking 302 00:17:47,920 --> 00:17:50,480 Speaker 1: for incoming weeks? I mean, obviously we got the news 303 00:17:50,640 --> 00:17:53,600 Speaker 1: that indoor dining will start out a quarter capacity in 304 00:17:53,680 --> 00:17:56,240 Speaker 1: New York City, which hopefully might bring back a few 305 00:17:56,320 --> 00:17:59,359 Speaker 1: more jobs here and there. But what will the data 306 00:17:59,480 --> 00:18:03,719 Speaker 1: that you be most concentrated on the well, right now, 307 00:18:04,080 --> 00:18:07,040 Speaker 1: the word unfortunately it comes every month, right, I think 308 00:18:07,080 --> 00:18:09,440 Speaker 1: there's all that high frequency data that tells you that 309 00:18:09,680 --> 00:18:13,240 Speaker 1: reopenings are continuing. And I think that's that's great and 310 00:18:13,400 --> 00:18:15,640 Speaker 1: very happy is in New York City resident, Very happy 311 00:18:15,680 --> 00:18:18,760 Speaker 1: to see, he said, at least indoor dining because the 312 00:18:18,800 --> 00:18:20,520 Speaker 1: winning where all these restaurants are gonna do when it 313 00:18:20,880 --> 00:18:23,040 Speaker 1: gets to be too cold to sit outside to eat. 314 00:18:23,600 --> 00:18:29,720 Speaker 1: But um, the number to watch every single month is 315 00:18:29,840 --> 00:18:34,320 Speaker 1: this job losses, permanent job losses, and that's really the 316 00:18:34,520 --> 00:18:38,159 Speaker 1: number and that will and then the second part of 317 00:18:38,240 --> 00:18:41,560 Speaker 1: that is that as that continues to go, watch these 318 00:18:41,720 --> 00:18:46,600 Speaker 1: forward expectations numbers because the forward expect because those phone 319 00:18:46,680 --> 00:18:51,200 Speaker 1: expectation numbers never really dipped as one would have expected 320 00:18:51,280 --> 00:18:53,760 Speaker 1: in their normal recession. All right, Steve, thank you so 321 00:18:53,920 --> 00:18:56,520 Speaker 1: much for Joiner's got leave it there. Steve Blitz, chief 322 00:18:56,600 --> 00:18:59,560 Speaker 1: US economist for T. S. Lombard, giving us his thoughts 323 00:18:59,600 --> 00:19:03,879 Speaker 1: on current economic conditions. We're just looking at the SP 324 00:19:04,080 --> 00:19:06,479 Speaker 1: five here. We're off about seven or eight percent off 325 00:19:06,520 --> 00:19:09,040 Speaker 1: of that recent high of just several days ago. But 326 00:19:09,160 --> 00:19:12,960 Speaker 1: let's be clear here, we're over off of that March low, 327 00:19:13,040 --> 00:19:15,639 Speaker 1: so a tremendous move up in the market despite some 328 00:19:16,160 --> 00:19:18,399 Speaker 1: recent pullbacks here. To get a sense of where we 329 00:19:18,600 --> 00:19:20,920 Speaker 1: go from here and what the drivers are that we 330 00:19:21,000 --> 00:19:24,320 Speaker 1: should be focusing on, let's welcome Michael Scaling, portfolio manager 331 00:19:24,320 --> 00:19:27,400 Speaker 1: of Manu Menu Life Asset Management based in Boston. Michael, 332 00:19:27,400 --> 00:19:29,399 Speaker 1: thanks so much for joining us here. So we've had 333 00:19:29,400 --> 00:19:32,040 Speaker 1: a little bit of a pullback here. Uh, the question 334 00:19:32,200 --> 00:19:34,680 Speaker 1: is you know what's driving it and how do we 335 00:19:35,040 --> 00:19:36,840 Speaker 1: What we really think about is over the next couple 336 00:19:36,840 --> 00:19:40,480 Speaker 1: of quarters, heeries as it relates to the equity markets. Sure, well, 337 00:19:40,520 --> 00:19:42,720 Speaker 1: good morning and thanks for having me. Um. I think 338 00:19:42,840 --> 00:19:45,640 Speaker 1: that after we've seen as you just reference, that huge 339 00:19:45,720 --> 00:19:47,960 Speaker 1: move off of the bottom of fifty plus percent, not 340 00:19:48,080 --> 00:19:49,919 Speaker 1: surprising at all to see us give a little bit 341 00:19:49,960 --> 00:19:53,920 Speaker 1: of that back and consolidate some gains, especially when you 342 00:19:54,080 --> 00:19:57,680 Speaker 1: driver consider that the majority of this big move that 343 00:19:57,760 --> 00:20:00,360 Speaker 1: we've seen has been multiple expansion on the SM five. 344 00:20:00,840 --> 00:20:03,640 Speaker 1: So UM, I think that while it's been a big 345 00:20:03,760 --> 00:20:06,159 Speaker 1: move in in a short amount of time, I wouldn't 346 00:20:06,200 --> 00:20:09,680 Speaker 1: read too much into the more recent results on the market. 347 00:20:09,760 --> 00:20:12,040 Speaker 1: Is it you know, the market just doesn't climb to 348 00:20:12,080 --> 00:20:17,280 Speaker 1: the sky forever. What are you anticipating will be the 349 00:20:17,359 --> 00:20:20,159 Speaker 1: catalyst for the next move for this market, whether at 350 00:20:20,200 --> 00:20:23,359 Speaker 1: the upboard down. Well, I think it's going to be 351 00:20:23,440 --> 00:20:27,320 Speaker 1: more driven. I'm really less focused on the the actual 352 00:20:27,440 --> 00:20:29,440 Speaker 1: move in the market and just more focused on the 353 00:20:29,480 --> 00:20:32,600 Speaker 1: individual stocks. I mean, it certainly feels like this has 354 00:20:32,640 --> 00:20:35,680 Speaker 1: been the best pure stock picking market that's seen since 355 00:20:35,720 --> 00:20:39,160 Speaker 1: prior to the financial crisis. Uh. And you've certainly seem 356 00:20:39,240 --> 00:20:42,480 Speaker 1: differentiation in individual stocks. I mean a lot of people 357 00:20:42,560 --> 00:20:44,600 Speaker 1: like to talk about the move and the fangs, but 358 00:20:44,800 --> 00:20:47,359 Speaker 1: what what's that really reflective of is a great stock 359 00:20:47,440 --> 00:20:50,960 Speaker 1: pickers environment. Um. One thing I would keep in mind 360 00:20:51,000 --> 00:20:53,000 Speaker 1: on the market as you look at it is I 361 00:20:53,080 --> 00:20:55,920 Speaker 1: talked about before about the multiple expanding. I mean, it's 362 00:20:55,960 --> 00:20:58,800 Speaker 1: not surprising that the market is trading at very elevated 363 00:20:59,320 --> 00:21:02,560 Speaker 1: valuation today, and frankly, I would expect that that's going 364 00:21:02,640 --> 00:21:06,080 Speaker 1: to continue for a very long time, meaning years as 365 00:21:06,440 --> 00:21:09,640 Speaker 1: you can no longer fund any liabilities from the fixed 366 00:21:09,640 --> 00:21:14,320 Speaker 1: income markets after the collapse in US interest rates. All Right, 367 00:21:14,440 --> 00:21:16,600 Speaker 1: so where do we go from here? What are some 368 00:21:16,680 --> 00:21:18,520 Speaker 1: of the sectors that we should be looking at here? 369 00:21:18,600 --> 00:21:22,120 Speaker 1: Because it appears that the economy, while it's coming back, 370 00:21:22,280 --> 00:21:27,040 Speaker 1: is coming back very very slowly, despite the incredible accommodation 371 00:21:27,240 --> 00:21:30,280 Speaker 1: provided by the foot of Reserve. Yeah, it's been interesting. 372 00:21:30,320 --> 00:21:32,600 Speaker 1: So this week there's actually been a few industry conferences 373 00:21:32,680 --> 00:21:34,760 Speaker 1: which have been attending, and was on one just right 374 00:21:34,800 --> 00:21:37,440 Speaker 1: before we came on live here. UM. I think what's 375 00:21:37,480 --> 00:21:39,639 Speaker 1: interesting is that, you know, heading into this week with 376 00:21:39,720 --> 00:21:43,320 Speaker 1: a lot of the retailers and consumer stables companies presenting 377 00:21:43,359 --> 00:21:46,920 Speaker 1: at various conferences. UM. Frankly, I was expecting to hear 378 00:21:47,000 --> 00:21:49,959 Speaker 1: more about kind of a late August slowdown and stimulus 379 00:21:50,320 --> 00:21:55,159 Speaker 1: UM and the enhanced unemployment benefits were unwound UM and 380 00:21:55,560 --> 00:21:58,160 Speaker 1: just the slowing and foot traffic its stores and those 381 00:21:58,200 --> 00:22:00,160 Speaker 1: kind of things. But frankly, you haven't heard that from 382 00:22:00,160 --> 00:22:03,159 Speaker 1: anybody at any of these conferences. Uh. They continue to 383 00:22:03,240 --> 00:22:06,200 Speaker 1: talk about a solid demand environment, a little bit of 384 00:22:06,240 --> 00:22:10,080 Speaker 1: the unknown if there isn't another stimulus package passed. UH. 385 00:22:10,160 --> 00:22:12,000 Speaker 1: And the other thing they continue to talk a lot 386 00:22:12,080 --> 00:22:15,840 Speaker 1: about is just UM it concerns around securing enough inventory 387 00:22:16,440 --> 00:22:19,520 Speaker 1: as some of the supply chains have been disrupted as 388 00:22:19,560 --> 00:22:23,320 Speaker 1: we saw the depth of COVID earlier this year. I 389 00:22:23,480 --> 00:22:27,200 Speaker 1: would love your thoughts on the succession plan at City 390 00:22:27,359 --> 00:22:31,800 Speaker 1: that came out today. Yeah, so, uh, in the John 391 00:22:31,800 --> 00:22:34,040 Speaker 1: Hancock Violence Fund that I run, we don't own shares 392 00:22:34,080 --> 00:22:37,240 Speaker 1: of City Group. Um. It's uh, the woman that was 393 00:22:37,240 --> 00:22:41,040 Speaker 1: announced to the CEO, I'm not familiar with her. Um. Frankly, 394 00:22:41,040 --> 00:22:44,520 Speaker 1: a little bit surprised that Michael Corbett is retiring so quickly. 395 00:22:44,640 --> 00:22:47,040 Speaker 1: I mean, I don't know that that was on the 396 00:22:47,080 --> 00:22:51,200 Speaker 1: immediate radar of any shareholder. Um. But obviously you know, 397 00:22:51,560 --> 00:22:54,160 Speaker 1: in terms of humanity, a great day that she's gonna 398 00:22:54,160 --> 00:22:56,480 Speaker 1: be the first woman wondering running one of these large 399 00:22:56,520 --> 00:23:00,240 Speaker 1: global banks. How about on the technology front, give us 400 00:23:00,240 --> 00:23:03,040 Speaker 1: you later thoughts on Apple that's been such a leader 401 00:23:03,240 --> 00:23:06,440 Speaker 1: in the market place, and I guess some concerns that 402 00:23:07,160 --> 00:23:10,800 Speaker 1: you know, is there a bear case out there for Apple? Yeah? 403 00:23:11,480 --> 00:23:13,960 Speaker 1: So it's funny I think as we've gone through these 404 00:23:14,040 --> 00:23:18,480 Speaker 1: iPhone cycles the last ten years, the price action and 405 00:23:18,560 --> 00:23:21,960 Speaker 1: Apple stock has become more and more pronounced in terms 406 00:23:22,040 --> 00:23:25,119 Speaker 1: of the playbook that everybody follows, and that is that 407 00:23:25,400 --> 00:23:28,360 Speaker 1: you ride up Apple into the announcement of the iPhone 408 00:23:28,720 --> 00:23:32,800 Speaker 1: update coming, and then after the initially announcement, the stock 409 00:23:32,880 --> 00:23:35,800 Speaker 1: pens underperform I think some of this big run up 410 00:23:35,840 --> 00:23:37,840 Speaker 1: that we saw throughout the course of the spring and 411 00:23:37,920 --> 00:23:41,200 Speaker 1: into the summer was largely attributable to that, as this 412 00:23:41,359 --> 00:23:44,679 Speaker 1: is expected to be kind of a benchmark type cycle 413 00:23:44,760 --> 00:23:47,520 Speaker 1: with the rollout of the five G I phone. UM 414 00:23:47,720 --> 00:23:50,160 Speaker 1: but the stock is cooled off obviously in the last 415 00:23:50,240 --> 00:23:52,200 Speaker 1: week or two here. You know, if you wanted to 416 00:23:52,240 --> 00:23:54,919 Speaker 1: make the bearcase argument on Apple, it would be largely 417 00:23:55,000 --> 00:23:57,840 Speaker 1: around valuation, right. I mean, the stock has had such 418 00:23:57,840 --> 00:23:59,920 Speaker 1: a high, big run that it's now trading in a 419 00:24:00,160 --> 00:24:04,800 Speaker 1: twenties multiple UM and uh, you know when you think 420 00:24:04,800 --> 00:24:06,680 Speaker 1: about the fact that this is still a company that 421 00:24:06,840 --> 00:24:09,560 Speaker 1: sells an iPhone every couple of years. You know, if 422 00:24:09,640 --> 00:24:11,520 Speaker 1: you wanted to be maybe put a bear scare in 423 00:24:11,600 --> 00:24:13,200 Speaker 1: the stock, that that would be it. Right, is that 424 00:24:13,280 --> 00:24:17,720 Speaker 1: it's still cycle dependent um and and and consumer electronics company. 425 00:24:17,800 --> 00:24:19,320 Speaker 1: Now that's not to say that I believe it, but 426 00:24:19,400 --> 00:24:22,080 Speaker 1: that's what a bear would tell you. Okay, well, we're 427 00:24:22,080 --> 00:24:24,359 Speaker 1: going to get that event on the fifteenth, so just 428 00:24:24,600 --> 00:24:27,440 Speaker 1: early next week, to reveal the new watch and also 429 00:24:27,840 --> 00:24:30,719 Speaker 1: you know, a new iPhone cycle. Will it be successful? 430 00:24:30,760 --> 00:24:33,680 Speaker 1: What are you anticipating? Yeah, I do expect that there's 431 00:24:33,680 --> 00:24:36,440 Speaker 1: a fair amount of pent up demand. Uh. You know, 432 00:24:36,520 --> 00:24:40,080 Speaker 1: the last handful of years, you're certainly seen in elongation 433 00:24:40,200 --> 00:24:43,040 Speaker 1: in terms of the cycle that people actually hold onto 434 00:24:43,080 --> 00:24:45,480 Speaker 1: their iPhones. So I do think there's a there there's 435 00:24:45,520 --> 00:24:48,200 Speaker 1: quite a bit of pent up demand. Um. I would 436 00:24:48,240 --> 00:24:51,000 Speaker 1: hedge that a little bit in when you look at 437 00:24:51,040 --> 00:24:55,320 Speaker 1: where we are from unemployment levels both domestically and just 438 00:24:55,480 --> 00:24:59,280 Speaker 1: economic stresses that you're seeing globally. Um, you know, it's 439 00:24:59,320 --> 00:25:01,040 Speaker 1: a bit more of a stretch for people to run 440 00:25:01,080 --> 00:25:03,240 Speaker 1: out and spend a thousand dollars on a new phone, 441 00:25:03,320 --> 00:25:05,840 Speaker 1: So I think you do have to kind of hedge 442 00:25:05,880 --> 00:25:07,840 Speaker 1: on it from that front. And I think the other 443 00:25:07,960 --> 00:25:10,480 Speaker 1: thing is there's still an education process that needs to 444 00:25:10,520 --> 00:25:12,320 Speaker 1: go on, right. I mean, you've had some of these 445 00:25:12,440 --> 00:25:15,760 Speaker 1: wireless service providers that have talked up that they're on 446 00:25:15,920 --> 00:25:18,440 Speaker 1: five G e uh and people might think they have 447 00:25:18,560 --> 00:25:20,360 Speaker 1: a five G I phone. They don't have a five 448 00:25:20,440 --> 00:25:22,359 Speaker 1: G I phone until they have an iPhone with a 449 00:25:22,400 --> 00:25:24,199 Speaker 1: five G chip in it. So there is a bit 450 00:25:24,240 --> 00:25:27,000 Speaker 1: of an education headwin there as well for some less 451 00:25:27,040 --> 00:25:29,920 Speaker 1: informed consumers. Michael, thank you, always a pleasure of speaking 452 00:25:29,920 --> 00:25:33,800 Speaker 1: with you. Michael Scalan Portfolio manager from Manu Life Asset Management. 453 00:25:36,200 --> 00:25:39,600 Speaker 1: Thanks for listening to Bloomberg Markets podcast. You can subscribe 454 00:25:39,680 --> 00:25:42,680 Speaker 1: and listen to interviews at Apple Podcasts or whatever a 455 00:25:42,720 --> 00:25:46,040 Speaker 1: podcast platform you prefer. I'm Bonnie Quinn, I'm on Twitter 456 00:25:46,320 --> 00:25:48,600 Speaker 1: at Bonnie Quinn, and I'm Paul Sweeney. I'm on Twitter 457 00:25:48,680 --> 00:25:51,520 Speaker 1: at pt Sweeney. Before the podcast, you can always catch 458 00:25:51,600 --> 00:25:53,120 Speaker 1: us worldwide at Bloomberg Radio