1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:21,759 Speaker 1: at Bloomberg dot com slash podcast. Now, I want to 7 00:00:21,760 --> 00:00:24,280 Speaker 1: get over to Massimo Poselli. He joins us right now. 8 00:00:24,280 --> 00:00:29,040 Speaker 1: He's a senior vice president of Global Enterprise for Verizon Business. 9 00:00:29,080 --> 00:00:32,440 Speaker 1: And I guess mass your focus here is on five G. 10 00:00:33,880 --> 00:00:36,159 Speaker 1: To me, it's so fascinating, not just because all the 11 00:00:36,200 --> 00:00:40,200 Speaker 1: protesters around here are concerned that, you know, Bill Gates 12 00:00:40,280 --> 00:00:43,920 Speaker 1: is using the vaccines to inject us with five G chips, 13 00:00:43,960 --> 00:00:47,240 Speaker 1: but because it's gonna make I think business a lot 14 00:00:47,520 --> 00:00:52,560 Speaker 1: more exciting and our personal lives also a little bit easier. Um, 15 00:00:52,600 --> 00:00:57,240 Speaker 1: how do you think the most important UH leaps ahead 16 00:00:57,320 --> 00:01:00,000 Speaker 1: will be will be met by the five G technology 17 00:01:00,200 --> 00:01:05,400 Speaker 1: that you're that you're spreading around. Good morning, Paul, and that, 18 00:01:05,600 --> 00:01:08,440 Speaker 1: first of all, thank you for having me today. UM. 19 00:01:08,880 --> 00:01:13,400 Speaker 1: Fight G UH will change the way we live as 20 00:01:13,520 --> 00:01:18,120 Speaker 1: as as normal people and as employees. UH. And it's 21 00:01:18,200 --> 00:01:23,319 Speaker 1: probably the first generation of wireless services that will be 22 00:01:23,600 --> 00:01:26,640 Speaker 1: more focused or well bring more value to the enterprise, 23 00:01:26,800 --> 00:01:30,600 Speaker 1: to the end consumers. UH. Fight G combined with edge 24 00:01:30,600 --> 00:01:34,920 Speaker 1: computing will allow to define the business processes and the 25 00:01:34,959 --> 00:01:40,880 Speaker 1: engagement model with the consumer. Just think of the smart store, 26 00:01:41,240 --> 00:01:45,240 Speaker 1: I think of a smart manufacturing, Think of telehealth, Think 27 00:01:45,280 --> 00:01:48,800 Speaker 1: of the education. How can use the RBR to be 28 00:01:49,120 --> 00:01:53,720 Speaker 1: more effective in the way you educate the people? UH. 29 00:01:53,760 --> 00:01:56,800 Speaker 1: But the the art of the possible with five G 30 00:01:57,880 --> 00:02:01,400 Speaker 1: is infinite. And actually what we're doing is to explore 31 00:02:01,880 --> 00:02:06,200 Speaker 1: use cases on five G with our partners and with 32 00:02:06,280 --> 00:02:10,120 Speaker 1: our customers in almost every industry. All right, mass, we'll 33 00:02:10,120 --> 00:02:13,120 Speaker 1: give us a sense of timing. Here I see ads 34 00:02:13,280 --> 00:02:16,800 Speaker 1: from UH. You guys may tinteen your other competitors saying 35 00:02:16,800 --> 00:02:19,480 Speaker 1: five gus here. I don't think it's here. Where are 36 00:02:19,520 --> 00:02:21,000 Speaker 1: we in the rollout? Give us a sense of the 37 00:02:21,000 --> 00:02:28,200 Speaker 1: timetable UH on the different flavors or five G five 38 00:02:28,240 --> 00:02:31,280 Speaker 1: G at the C band, f G at the ultra 39 00:02:31,400 --> 00:02:36,440 Speaker 1: white band. UH. Five G is here now in seventy 40 00:02:36,520 --> 00:02:39,919 Speaker 1: one cities for the horizon, and we have the six 41 00:02:39,960 --> 00:02:44,160 Speaker 1: while access in twenty three cities. Uh, what will we 42 00:02:44,200 --> 00:02:47,600 Speaker 1: say is by five GM is now because really finding 43 00:02:47,919 --> 00:02:51,480 Speaker 1: the business processes for enterprise will take time. You will 44 00:02:51,639 --> 00:02:55,119 Speaker 1: change the way they work. So that's why even if 45 00:02:55,200 --> 00:02:58,360 Speaker 1: some use cases will be something you guys will be 46 00:02:58,400 --> 00:03:02,080 Speaker 1: available in in in a few months, some will take 47 00:03:02,760 --> 00:03:06,320 Speaker 1: a few quarters. But the time is now to work 48 00:03:06,360 --> 00:03:10,320 Speaker 1: and define what technology could do and how technology could 49 00:03:10,360 --> 00:03:15,119 Speaker 1: change at the way corporate works. What about the safety 50 00:03:15,200 --> 00:03:17,799 Speaker 1: of this? I mean, you know, I was joking a 51 00:03:17,840 --> 00:03:21,280 Speaker 1: little bit at the top, but you've got um Robert Kennedy, 52 00:03:21,320 --> 00:03:24,480 Speaker 1: whom the Globe and Mail called a super spreader of 53 00:03:24,600 --> 00:03:30,560 Speaker 1: medical misinformation, who nonetheless is a big name and has 54 00:03:31,000 --> 00:03:34,600 Speaker 1: warned about safety concerns around five G. Is there any 55 00:03:34,639 --> 00:03:39,800 Speaker 1: that we should take seriously? Listen, we had a discussion 56 00:03:39,800 --> 00:03:43,320 Speaker 1: about the safety every time we launched a new generation 57 00:03:43,600 --> 00:03:46,160 Speaker 1: of wireless services. So we heard the same one TREG. 58 00:03:46,320 --> 00:03:48,640 Speaker 1: We heard the same offer G, and we heard we 59 00:03:48,640 --> 00:03:50,560 Speaker 1: were here in the same offer G, and we will 60 00:03:50,600 --> 00:03:53,560 Speaker 1: hear the same on six G. So listen, this the 61 00:03:53,760 --> 00:03:56,720 Speaker 1: security is part of mount for us, and and you 62 00:03:56,760 --> 00:04:01,360 Speaker 1: know wireless that will just bring the technology and value 63 00:04:01,840 --> 00:04:05,440 Speaker 1: to the um beings. So no concern about security past 64 00:04:05,840 --> 00:04:07,840 Speaker 1: when will I have to go out and buy a 65 00:04:07,960 --> 00:04:12,840 Speaker 1: five G phone? When should I do that? Well, you 66 00:04:12,880 --> 00:04:16,520 Speaker 1: should do that now has set on five phone or 67 00:04:16,520 --> 00:04:20,440 Speaker 1: five G are available today in the market and and 68 00:04:20,839 --> 00:04:24,479 Speaker 1: will bring value. Think of the health for example, the 69 00:04:24,520 --> 00:04:29,080 Speaker 1: ability to capture your your health data and your personal 70 00:04:29,160 --> 00:04:34,719 Speaker 1: data in the in the middlesecond and to share uh 71 00:04:34,839 --> 00:04:38,599 Speaker 1: this with with your position and with the expert. But 72 00:04:38,680 --> 00:04:43,360 Speaker 1: also think of the ability to consume media content. We 73 00:04:43,440 --> 00:04:47,040 Speaker 1: had a view for the last Super Bowl where you 74 00:04:47,080 --> 00:04:50,560 Speaker 1: could have a three D view, multiple view on the 75 00:04:50,600 --> 00:04:53,560 Speaker 1: same screen using five G. So if you want to 76 00:04:53,640 --> 00:04:58,560 Speaker 1: start having an experience in sports event but also have 77 00:04:58,720 --> 00:05:02,760 Speaker 1: the ability to uh you know, be in the forefront 78 00:05:03,360 --> 00:05:07,080 Speaker 1: on the use of technology for your personal house, than 79 00:05:07,160 --> 00:05:09,840 Speaker 1: it's right time now to buy f I G. Front. 80 00:05:10,400 --> 00:05:12,680 Speaker 1: Are you working on six G already? You mentioned it? 81 00:05:12,720 --> 00:05:17,080 Speaker 1: Is it already in the cards? Mainly so I think 82 00:05:17,120 --> 00:05:20,279 Speaker 1: the art of the possible four five G is infinite 83 00:05:20,320 --> 00:05:23,520 Speaker 1: that we think you will probably take several years so 84 00:05:23,680 --> 00:05:26,640 Speaker 1: before you full exploit of the value of I G 85 00:05:26,800 --> 00:05:31,080 Speaker 1: and what I G could bring to people and to enterprises. So, uh, 86 00:05:31,680 --> 00:05:34,000 Speaker 1: we had in the forefront thinking the next technology, but 87 00:05:34,040 --> 00:05:37,160 Speaker 1: we're not totally focused on the point i G and 88 00:05:37,200 --> 00:05:41,120 Speaker 1: then bringing the value of i G to everyone. Masimo 89 00:05:41,240 --> 00:05:43,799 Speaker 1: takes so much for joining us. We appreciate it getting 90 00:05:43,839 --> 00:05:46,560 Speaker 1: the update on all things on the telecom front with 91 00:05:46,600 --> 00:05:50,400 Speaker 1: five G in particular. Massimo Passelli, Senior vice president of 92 00:05:50,839 --> 00:05:54,760 Speaker 1: Global Enterprise for Verizon Business five G. The It's funny 93 00:05:54,800 --> 00:05:58,440 Speaker 1: the telecom companies, they've spent billions of dollars on the spectrum. 94 00:05:58,720 --> 00:06:03,800 Speaker 1: They will spend billions of dollars more on developing more 95 00:06:03,800 --> 00:06:07,160 Speaker 1: of the infrastructure and the technology to support that spectrum. 96 00:06:07,160 --> 00:06:10,640 Speaker 1: And then uh, presumably as they rollout services and so on, 97 00:06:10,720 --> 00:06:12,640 Speaker 1: we will be incentive to go out and buy new 98 00:06:12,680 --> 00:06:14,600 Speaker 1: five G phones in one not so we'll see how 99 00:06:14,600 --> 00:06:19,960 Speaker 1: that plays out over the next several months and years. Now, 100 00:06:19,960 --> 00:06:23,720 Speaker 1: I want to get into the impact of the pandemic 101 00:06:23,839 --> 00:06:28,839 Speaker 1: and while the reopening on travel and e commerce. Adobe 102 00:06:28,880 --> 00:06:33,160 Speaker 1: does that with its Adobe Adobe Digital Economy Index. And 103 00:06:33,200 --> 00:06:36,160 Speaker 1: here to talk about that is the director of Adobe 104 00:06:36,200 --> 00:06:39,559 Speaker 1: Digital Insides, Taylor Shriner Um. Taylor, what kind of action 105 00:06:39,560 --> 00:06:41,920 Speaker 1: are are you seeing right now? Are we looking at it? Uh? 106 00:06:42,480 --> 00:06:47,600 Speaker 1: A lift off so to speak in terms of the airlines. Well, 107 00:06:47,640 --> 00:06:51,599 Speaker 1: broadly speaking, Matt we're seeing a turnaround across the board, 108 00:06:51,720 --> 00:06:55,239 Speaker 1: but we're not out of the words yet. So, for instance, 109 00:06:55,279 --> 00:06:58,040 Speaker 1: we are seeing that bookings are really double what they 110 00:06:58,040 --> 00:07:00,320 Speaker 1: were before. People were starting to get back to needed 111 00:07:00,680 --> 00:07:03,560 Speaker 1: People are showing a strong interest in travel, but if 112 00:07:03,600 --> 00:07:06,440 Speaker 1: you compare today's bookings to what we were seeing in 113 00:07:06,480 --> 00:07:10,360 Speaker 1: March of twenty nineteen, we're still down. So while people 114 00:07:10,400 --> 00:07:13,440 Speaker 1: are eager to travel and they have increasing competence in travel, 115 00:07:13,920 --> 00:07:17,400 Speaker 1: we're not even back to twenty nineteen levels quite yet. Taylor, 116 00:07:17,440 --> 00:07:20,840 Speaker 1: talk to us about some of the regional UH differences 117 00:07:20,880 --> 00:07:22,680 Speaker 1: you may be seeing in your data. You know, Matt 118 00:07:22,720 --> 00:07:25,920 Speaker 1: and I earlier we're talking about how successful it seems that, 119 00:07:26,360 --> 00:07:28,600 Speaker 1: you know, big states like Texas and Florida have been 120 00:07:28,640 --> 00:07:30,960 Speaker 1: reopening ahead of other parts of the region. Are you 121 00:07:30,960 --> 00:07:36,280 Speaker 1: seeing regional differences in terms of travel. We've seen a 122 00:07:36,360 --> 00:07:39,920 Speaker 1: really strong UH bias for its southern and Midwestern states 123 00:07:39,960 --> 00:07:42,880 Speaker 1: being willing to travel today. But on the other hand, 124 00:07:42,920 --> 00:07:45,720 Speaker 1: if you look at the Northeast, where there's been a 125 00:07:45,800 --> 00:07:47,840 Speaker 1: lot of reluctance to travel and they have sort of 126 00:07:47,920 --> 00:07:51,400 Speaker 1: less travel than you would expect on average for the US, 127 00:07:52,240 --> 00:07:55,200 Speaker 1: they have a greater responsiveness to vaccines. So the more 128 00:07:55,280 --> 00:07:57,600 Speaker 1: vaccines are all out, the faster folks in the Northeast 129 00:07:57,600 --> 00:08:00,600 Speaker 1: are willing to travel, either because data themselves are vaccinated 130 00:08:00,760 --> 00:08:04,600 Speaker 1: or because they have greater faith in travel with more 131 00:08:04,600 --> 00:08:08,920 Speaker 1: people vaccinated. So if that's the case, UM, I would 132 00:08:08,960 --> 00:08:11,960 Speaker 1: expect when more people go out, when more people eat 133 00:08:12,000 --> 00:08:14,360 Speaker 1: at restaurants, from, more people take flights, from more people 134 00:08:14,960 --> 00:08:17,800 Speaker 1: hit the shops. Um, fewer people are sitting at home 135 00:08:17,840 --> 00:08:21,920 Speaker 1: still using Amazon and other e commerce sites to get 136 00:08:21,960 --> 00:08:26,920 Speaker 1: their goods. Am I mistaken. Uh, it's a fair assumption. 137 00:08:26,960 --> 00:08:30,360 Speaker 1: But actually we have seen fifty growth year over year 138 00:08:30,480 --> 00:08:33,800 Speaker 1: this last March, So people are really still used to 139 00:08:34,000 --> 00:08:36,880 Speaker 1: making their purchases online and they're not telling us that 140 00:08:36,960 --> 00:08:39,880 Speaker 1: they are showing any signs of going back to a 141 00:08:39,960 --> 00:08:43,239 Speaker 1: pure in person retail world. They're absolutely going to restaurants. 142 00:08:43,320 --> 00:08:48,080 Speaker 1: You can see travel increasing, but we simultaneously see continued 143 00:08:48,120 --> 00:08:52,360 Speaker 1: growth and basic things like grocery shopping online. Uh and well, 144 00:08:52,480 --> 00:08:56,480 Speaker 1: uh we expect that to continue. Frankly, broadly speaking through 145 00:08:56,520 --> 00:09:00,439 Speaker 1: the year. About outside the US tailor, you know when 146 00:09:00,440 --> 00:09:02,880 Speaker 1: we go look at the UK or and mats based 147 00:09:02,920 --> 00:09:05,640 Speaker 1: in Germany, are we seeing similar trends as it relates 148 00:09:05,679 --> 00:09:10,200 Speaker 1: to e commerce. Well, this is the first year that 149 00:09:10,240 --> 00:09:14,400 Speaker 1: Adobe has released our insights on the whole global digital economy, 150 00:09:14,440 --> 00:09:17,400 Speaker 1: or this is the first report rather, and frankly, there's 151 00:09:17,400 --> 00:09:20,040 Speaker 1: some really big numbers out there. Last year, we saw 152 00:09:20,080 --> 00:09:24,040 Speaker 1: about three point five trillion dollars in online commerce, and 153 00:09:24,080 --> 00:09:26,960 Speaker 1: we're seeing that grow over the first quarter at thirty 154 00:09:27,000 --> 00:09:31,440 Speaker 1: eight percent. So we see incredibly strong global e commerce growth. 155 00:09:32,000 --> 00:09:35,640 Speaker 1: And fact, we're predicting four point two trillion dollars UH 156 00:09:35,720 --> 00:09:38,559 Speaker 1: in e commerce over the course of the year, which is, 157 00:09:38,600 --> 00:09:41,040 Speaker 1: you know, bigger than than some major economies you'll see 158 00:09:41,040 --> 00:09:45,600 Speaker 1: in in Europe. Yeah, way bigger, um. But I wonder 159 00:09:45,600 --> 00:09:48,360 Speaker 1: how they compare to the US, I mean e commerce 160 00:09:48,400 --> 00:09:50,720 Speaker 1: in the US versus a e commerce and the EU. 161 00:09:50,880 --> 00:09:54,960 Speaker 1: Are they similar sizes or is the US far ahead 162 00:09:55,000 --> 00:09:59,080 Speaker 1: of what we see here in old Europe? Well, you know, 163 00:09:59,120 --> 00:10:02,640 Speaker 1: e commerce global is really dominated by the United States 164 00:10:02,920 --> 00:10:06,080 Speaker 1: and China in terms of where the overall dollars are 165 00:10:06,080 --> 00:10:08,800 Speaker 1: getting expensed, where the overall money is getting expensed. But 166 00:10:09,360 --> 00:10:12,360 Speaker 1: to your point, we really see UH strong growth in Europe. 167 00:10:12,600 --> 00:10:16,199 Speaker 1: The UK, for instance, saw sixty growth in the first quarter, 168 00:10:16,600 --> 00:10:21,240 Speaker 1: so just stunning frankly, levels of e commerce growth that 169 00:10:21,320 --> 00:10:23,920 Speaker 1: are continuing in Europe, and it's going to be different 170 00:10:23,920 --> 00:10:27,679 Speaker 1: country by country with the varying payment systems and cultural differences. 171 00:10:27,720 --> 00:10:31,560 Speaker 1: But globally we see incredibly strong growth and the US 172 00:10:31,760 --> 00:10:34,520 Speaker 1: is at the moment on par with growth global growth, 173 00:10:35,040 --> 00:10:36,720 Speaker 1: but there are a lot of countries that are going 174 00:10:36,760 --> 00:10:38,959 Speaker 1: to get into this space and start to grow rapidly. 175 00:10:39,679 --> 00:10:41,400 Speaker 1: All right, So, teller, you're based in the Bay Area 176 00:10:41,400 --> 00:10:45,199 Speaker 1: of San Francisco, right, Lucky, that's correct. All right, give 177 00:10:45,240 --> 00:10:48,199 Speaker 1: us a sense of how how that area is kind 178 00:10:48,200 --> 00:10:51,000 Speaker 1: of reopening here. What's the feeling there Again, we think 179 00:10:51,000 --> 00:10:53,640 Speaker 1: about the northeast maybe being a little bit more conservative. 180 00:10:53,720 --> 00:10:56,760 Speaker 1: Texas and Florida very aggressive in the reopening. What's it 181 00:10:56,840 --> 00:11:01,079 Speaker 1: like where you are in California? Uh, well, I can 182 00:11:01,120 --> 00:11:02,920 Speaker 1: just speak for my area. You know, you still see 183 00:11:02,920 --> 00:11:04,760 Speaker 1: a lot of masks, You still see uh, you know, 184 00:11:05,240 --> 00:11:08,280 Speaker 1: a dearth of public transit, but people are out. I 185 00:11:08,320 --> 00:11:11,600 Speaker 1: went to my first museum, uh this last weekend and 186 00:11:11,679 --> 00:11:14,599 Speaker 1: you know, went over to see friends. So the the 187 00:11:14,840 --> 00:11:19,200 Speaker 1: street level commerce is definitely growing and people are think 188 00:11:19,240 --> 00:11:21,720 Speaker 1: you of traveling, looking to travel. Um, you know, one 189 00:11:21,720 --> 00:11:23,280 Speaker 1: of the things we saw in the travel stats is 190 00:11:23,320 --> 00:11:28,720 Speaker 1: that people are booking Thanksgiving and Christmas. Now, uh, that's 191 00:11:28,720 --> 00:11:31,560 Speaker 1: the one area where bookings are above twenty nineteen levels 192 00:11:31,600 --> 00:11:35,000 Speaker 1: and you know, grademic totally in my area. That's that's 193 00:11:35,040 --> 00:11:37,240 Speaker 1: what we see is that people are eager to travel 194 00:11:37,320 --> 00:11:39,760 Speaker 1: and see friends and they're they're confident that by the 195 00:11:39,800 --> 00:11:43,040 Speaker 1: fall that will be possible. Interesting, I'd like to get 196 00:11:43,040 --> 00:11:46,160 Speaker 1: out there. Yeah, it's beautiful out there. West Coast is 197 00:11:46,160 --> 00:11:51,120 Speaker 1: where it's at. Man's all right, Taylor, thanks so much 198 00:11:51,120 --> 00:11:54,400 Speaker 1: for joining us. Taylor Shriner, he's a director of Adobe 199 00:11:54,520 --> 00:11:58,679 Speaker 1: Digital Insights. Uh, there out there Digital Economy Index showing 200 00:11:58,720 --> 00:12:01,440 Speaker 1: some good growth Matt from you know, kind of the 201 00:12:01,480 --> 00:12:05,200 Speaker 1: pre vaccine time frame in this pandemic. But still you 202 00:12:05,200 --> 00:12:09,160 Speaker 1: know below you know, you're looking at airline flights and 203 00:12:09,360 --> 00:12:14,640 Speaker 1: hotels still below from levels. But but in e commerce, um, 204 00:12:14,760 --> 00:12:17,440 Speaker 1: they point out that the e commerce in March of 205 00:12:17,520 --> 00:12:21,719 Speaker 1: this year broke records, adding almost another Black Friday in 206 00:12:21,840 --> 00:12:24,840 Speaker 1: online spending. So it's been huge. Yeah, it's been huge, 207 00:12:24,840 --> 00:12:26,520 Speaker 1: and you know, you talk to the retail folks and 208 00:12:26,880 --> 00:12:28,920 Speaker 1: they don't see that going back the market share that 209 00:12:29,000 --> 00:12:35,240 Speaker 1: e commerce has, it's here to stay. Busy week this 210 00:12:35,280 --> 00:12:38,320 Speaker 1: week for earnings. Also a busy week for economic data. 211 00:12:38,480 --> 00:12:42,480 Speaker 1: Just today we had really strong consumer sentiment numbers come out, 212 00:12:42,520 --> 00:12:45,560 Speaker 1: and that's good news. Tomorrow we have the Fed minutes 213 00:12:45,600 --> 00:12:48,360 Speaker 1: and the press conference. Thursday, we get a GDP report 214 00:12:48,440 --> 00:12:51,440 Speaker 1: for the first quarter. Lots to dig into. Uh, We're 215 00:12:51,480 --> 00:12:55,000 Speaker 1: fortunate to have Marcus Schomer, chief economists at pine Bridge 216 00:12:55,040 --> 00:12:57,600 Speaker 1: Investments joining us. Marcus, I love to start with that 217 00:12:57,720 --> 00:13:01,080 Speaker 1: GDP print that we're going to see. Third, stay, what 218 00:13:01,160 --> 00:13:03,480 Speaker 1: do you expect to see? It should be a phenomenal number. 219 00:13:03,480 --> 00:13:05,920 Speaker 1: And then also for the next quarter as well, how 220 00:13:05,960 --> 00:13:09,480 Speaker 1: are you thinking about that? Oh? Yeah, the numbers look 221 00:13:09,559 --> 00:13:13,400 Speaker 1: really good. For the for the entire summer, the GDP 222 00:13:13,600 --> 00:13:18,680 Speaker 1: number will be somewhere north of six percent probably. Um, 223 00:13:18,760 --> 00:13:20,599 Speaker 1: we still don't know some of the some of the 224 00:13:20,640 --> 00:13:23,559 Speaker 1: more variable parts like trade and inventories could be a 225 00:13:23,600 --> 00:13:26,880 Speaker 1: little bit more negative. But we know that consumer spending, 226 00:13:26,920 --> 00:13:30,680 Speaker 1: for example, is on track for a ninth percent quarter. 227 00:13:30,880 --> 00:13:34,240 Speaker 1: I mean, that's the phenomenal number, and it's likely with 228 00:13:34,280 --> 00:13:37,520 Speaker 1: the with the check stop fully distributed in the first quarter, 229 00:13:37,559 --> 00:13:39,679 Speaker 1: that some of that is spilling into Q two as well, 230 00:13:39,720 --> 00:13:41,600 Speaker 1: and the numbers are probably going to stay like that 231 00:13:41,960 --> 00:13:45,840 Speaker 1: through the summer, so we get consumer spending, well, get 232 00:13:45,840 --> 00:13:50,959 Speaker 1: personal spending in UH income on Friday as well. Right, Um, 233 00:13:51,000 --> 00:13:52,360 Speaker 1: and a lot of people have been talking about the 234 00:13:52,400 --> 00:13:55,240 Speaker 1: savings rate was so strong and there's been so much 235 00:13:55,360 --> 00:13:57,959 Speaker 1: extra at least at the top cash to throw out 236 00:13:57,960 --> 00:14:00,240 Speaker 1: into the system. Is that going to happen? Then? Do 237 00:14:00,280 --> 00:14:03,440 Speaker 1: you expect a you know, um, a damn break in 238 00:14:03,520 --> 00:14:08,600 Speaker 1: terms of spending. Um, well, we've we've seen it already. Right. 239 00:14:08,679 --> 00:14:12,319 Speaker 1: We had a super strong retail sales number in January, 240 00:14:12,360 --> 00:14:15,280 Speaker 1: and the only reason Q one is actually not better 241 00:14:15,360 --> 00:14:18,280 Speaker 1: is because we had this really miserably cold February which 242 00:14:18,320 --> 00:14:20,600 Speaker 1: depressed everything and people couldn't go out and spend it. 243 00:14:20,640 --> 00:14:23,280 Speaker 1: And in parts they came back and with another check 244 00:14:23,320 --> 00:14:25,960 Speaker 1: in that pocket went out on a spending spree again. 245 00:14:26,000 --> 00:14:29,080 Speaker 1: And I assume that, um, the April and May retail 246 00:14:29,120 --> 00:14:32,200 Speaker 1: sales numbers will look really good as well, because you're right, 247 00:14:32,200 --> 00:14:34,560 Speaker 1: it's not just the check itself, but it's also the 248 00:14:34,600 --> 00:14:38,040 Speaker 1: money that's been accumulating over the last literally the last 249 00:14:38,080 --> 00:14:41,280 Speaker 1: twelve months, as people couldn't go on vacation, couldn't couldn't 250 00:14:41,280 --> 00:14:43,880 Speaker 1: go into the stores, and that has built up the 251 00:14:43,880 --> 00:14:46,520 Speaker 1: savings rate. It's not really that people were saving, they 252 00:14:46,560 --> 00:14:50,000 Speaker 1: just couldn't spend. That's a slightly different different way of 253 00:14:50,040 --> 00:14:53,440 Speaker 1: thinking about it. But some of that money will seep 254 00:14:53,480 --> 00:14:55,840 Speaker 1: into the economy over the next couple of months, and 255 00:14:55,880 --> 00:14:58,240 Speaker 1: I think that's why GDP goes will remain strong in 256 00:14:58,320 --> 00:15:00,840 Speaker 1: Q two and probably spending it to you three as well. 257 00:15:01,160 --> 00:15:04,400 Speaker 1: Question is what happens after that? Yeah, that's kind of 258 00:15:04,400 --> 00:15:06,560 Speaker 1: where I wanted to go here. I mean, we're seeing 259 00:15:06,560 --> 00:15:10,680 Speaker 1: a kind of a wide range of GDP forecasts out 260 00:15:10,680 --> 00:15:14,160 Speaker 1: there on the street. For one, what's your call for 261 00:15:14,280 --> 00:15:17,000 Speaker 1: the year of one, and then maybe also for next 262 00:15:17,040 --> 00:15:21,480 Speaker 1: year as well. Um, for this year we're we're around 263 00:15:21,480 --> 00:15:24,320 Speaker 1: six percent, and next year we see a slowdown back 264 00:15:24,360 --> 00:15:26,600 Speaker 1: to something around three and a half percent, a little 265 00:15:26,640 --> 00:15:29,280 Speaker 1: bit of low consensus next year. I think the near 266 00:15:29,360 --> 00:15:34,120 Speaker 1: term story is fairly clear, and the stimulus push is 267 00:15:34,160 --> 00:15:36,640 Speaker 1: so strong that there's probably not a lot of disagreement 268 00:15:36,640 --> 00:15:39,600 Speaker 1: where we where we are right now. But the disagreements 269 00:15:39,600 --> 00:15:41,520 Speaker 1: the more interesting where we will be a year from now, 270 00:15:41,560 --> 00:15:45,640 Speaker 1: because we're seeing more risks arising sort of on the horizon. 271 00:15:45,720 --> 00:15:48,600 Speaker 1: The pandemic is not over yet in the world. We 272 00:15:48,640 --> 00:15:52,400 Speaker 1: won't see really a resumption of global growth for a while, 273 00:15:53,280 --> 00:15:55,400 Speaker 1: the FETE is given up on the bond market and 274 00:15:55,440 --> 00:15:58,080 Speaker 1: allowing bond to rise, and that takes away from the 275 00:15:58,120 --> 00:16:01,960 Speaker 1: stimulus phisical policy is not talking about top fights and 276 00:16:02,040 --> 00:16:05,280 Speaker 1: not just spending increases all the time. And then we 277 00:16:05,320 --> 00:16:08,200 Speaker 1: have some political risks coming with the midterms next year. 278 00:16:09,240 --> 00:16:13,720 Speaker 1: We have maybe another spending package coming soon from the 279 00:16:13,720 --> 00:16:22,160 Speaker 1: Biden administration. How important is it? Do we need it? No? No, 280 00:16:22,880 --> 00:16:25,040 Speaker 1: we didn't even need the last one. I mean, we're 281 00:16:25,640 --> 00:16:29,160 Speaker 1: way about what was necessarily close to the output gap 282 00:16:29,200 --> 00:16:32,840 Speaker 1: and were so we're so in in such undiscovered country 283 00:16:32,960 --> 00:16:34,920 Speaker 1: right now that we have we have no idea what 284 00:16:34,960 --> 00:16:37,520 Speaker 1: the side effects of all this will be. For example, 285 00:16:37,840 --> 00:16:40,200 Speaker 1: at some stage when there will be you know next year, 286 00:16:40,200 --> 00:16:42,400 Speaker 1: well there won't be those spending packages. There will be 287 00:16:42,760 --> 00:16:47,200 Speaker 1: a huge decline in the way fiscal policy is boosting 288 00:16:47,240 --> 00:16:50,280 Speaker 1: GDP growth, which could which could actually lead to much 289 00:16:50,360 --> 00:16:52,840 Speaker 1: much lower goals that everybody is expecting, not because the 290 00:16:52,840 --> 00:16:56,760 Speaker 1: economy is weak, but because the comparison from the stibulous 291 00:16:56,840 --> 00:17:02,760 Speaker 1: fuel to the maybe less stimulus fuel. Two And certainly, 292 00:17:03,160 --> 00:17:05,480 Speaker 1: if the Republicans win the mid terms, there will be 293 00:17:05,480 --> 00:17:09,359 Speaker 1: no stimus in twenty three, that that change from twenty 294 00:17:09,480 --> 00:17:13,520 Speaker 1: to twenty three could be rather abrupt and could cause 295 00:17:13,600 --> 00:17:17,520 Speaker 1: a lot of micro volatility and also some confusion. Some 296 00:17:17,560 --> 00:17:20,480 Speaker 1: people may fear the economy is already two week recession 297 00:17:20,520 --> 00:17:24,919 Speaker 1: talk may start again. All this, all this access that 298 00:17:24,960 --> 00:17:27,920 Speaker 1: we're seeing right now is creating a lot of volatility 299 00:17:28,080 --> 00:17:31,200 Speaker 1: in the micro numbers, but also people will create volatility 300 00:17:31,200 --> 00:17:35,359 Speaker 1: in the expectations for the future. Okay, Marcus, I'd love 301 00:17:35,400 --> 00:17:37,280 Speaker 1: to just switch gears a little bit and talk about Europe. 302 00:17:37,720 --> 00:17:41,600 Speaker 1: You know, where Matt is based in Germany, much tougher 303 00:17:41,880 --> 00:17:46,760 Speaker 1: vaccine metrics. They're much you know, perhaps not the um 304 00:17:47,119 --> 00:17:49,359 Speaker 1: the stimulus having the same impact as having here in 305 00:17:49,400 --> 00:17:52,280 Speaker 1: the US. What's your view of Europe and the economic 306 00:17:52,320 --> 00:17:58,520 Speaker 1: recovery there. Well, I mean, right, the current situation that 307 00:17:58,680 --> 00:18:00,320 Speaker 1: does not look good. And you know, if look at 308 00:18:00,320 --> 00:18:03,479 Speaker 1: the p M I in disease that the beautifully tracked 309 00:18:03,480 --> 00:18:06,800 Speaker 1: the difference in the US where services are surging now 310 00:18:07,440 --> 00:18:10,640 Speaker 1: in Europe where services are stalled. UK s in the middle. 311 00:18:10,680 --> 00:18:14,160 Speaker 1: You can see once you start vaccinating enough of your population, 312 00:18:14,600 --> 00:18:16,960 Speaker 1: you can start to reopen and services come back in 313 00:18:16,960 --> 00:18:19,840 Speaker 1: the same way as they're already back here in the US. 314 00:18:20,440 --> 00:18:23,360 Speaker 1: You know, the vaccinations are taking up in Europe as well. 315 00:18:23,400 --> 00:18:26,960 Speaker 1: They're exploding right now. The supply is exploding. So given 316 00:18:27,000 --> 00:18:30,359 Speaker 1: give them another months, given another six weeks, and they 317 00:18:30,359 --> 00:18:32,040 Speaker 1: will be on the same track that we are on. 318 00:18:32,119 --> 00:18:34,480 Speaker 1: So it's just a bit of a delay. The issue 319 00:18:34,480 --> 00:18:37,560 Speaker 1: in Europe, in my mind, is more um, there's a 320 00:18:37,640 --> 00:18:42,560 Speaker 1: there's a very different way of policy stimulus. They don't 321 00:18:42,600 --> 00:18:46,359 Speaker 1: have the checks, they don't have the big packages, and 322 00:18:47,200 --> 00:18:49,040 Speaker 1: they have a lot of political groups coming up. In 323 00:18:49,080 --> 00:18:52,640 Speaker 1: the next couple of months, we have elections in Germany 324 00:18:52,640 --> 00:18:55,359 Speaker 1: and September, and the outcome of that is very unclear. 325 00:18:55,560 --> 00:18:58,320 Speaker 1: And then something I've been worried about four years is 326 00:18:58,359 --> 00:19:00,679 Speaker 1: in April of next year, twelve months from now, we 327 00:19:00,680 --> 00:19:04,360 Speaker 1: have elections in France and that could be that could 328 00:19:04,400 --> 00:19:08,760 Speaker 1: be a real nail binder if if the right wing 329 00:19:09,000 --> 00:19:12,960 Speaker 1: candidate could give current president markrom you know, run for 330 00:19:13,119 --> 00:19:20,080 Speaker 1: his money. Marcus, where is oys Kirschen West? Casan is 331 00:19:20,520 --> 00:19:24,760 Speaker 1: very close to Cologne, so um, very much in the 332 00:19:24,840 --> 00:19:27,679 Speaker 1: western part of Germany. I'm just stalking Marcus here on 333 00:19:27,680 --> 00:19:30,560 Speaker 1: the Bloomberg he was born. I'm sitting in Berlin and 334 00:19:30,600 --> 00:19:33,760 Speaker 1: I'm a big germanophile. But I'd say that has hurt 335 00:19:33,920 --> 00:19:37,000 Speaker 1: that the lack of vaccines here has hurt me. And 336 00:19:37,760 --> 00:19:40,200 Speaker 1: I will be interested to see if there's any scarring 337 00:19:40,280 --> 00:19:44,280 Speaker 1: from that economically and also um to see what happens 338 00:19:44,320 --> 00:19:48,399 Speaker 1: if the Greens actually take the cake in September, because 339 00:19:48,880 --> 00:19:51,760 Speaker 1: they've really run up in the polls, even ahead of 340 00:19:51,800 --> 00:19:53,520 Speaker 1: the C d U, C s U and our latest 341 00:19:53,560 --> 00:19:56,560 Speaker 1: aggregate poll, which is totally shocking. We gotta get you 342 00:19:56,560 --> 00:19:58,359 Speaker 1: back on, Marcus. It was a pleasure talking to you. 343 00:19:58,400 --> 00:20:00,200 Speaker 1: Thanks for spending some time with us. Marcus show Er, 344 00:20:00,560 --> 00:20:04,560 Speaker 1: his chief economist at pine Bridge Investments. UM, and it 345 00:20:04,600 --> 00:20:07,159 Speaker 1: was great to hear from someone who isn't just you know, 346 00:20:07,480 --> 00:20:10,240 Speaker 1: your typical red blooded Americans, someone who has a little 347 00:20:10,240 --> 00:20:13,360 Speaker 1: bit more interest in what's going on here in Germany. 348 00:20:13,400 --> 00:20:21,000 Speaker 1: This is Bloomberg Time check in with Bloomberg Opinion were 349 00:20:21,040 --> 00:20:25,119 Speaker 1: joined by opinion columnist Mark Gilbert, who's talking about the 350 00:20:25,160 --> 00:20:28,639 Speaker 1: many reasons bankers love hedge funds, and Mark, I guess 351 00:20:28,640 --> 00:20:32,040 Speaker 1: the main reason is the main reasons are you know, 352 00:20:32,280 --> 00:20:36,960 Speaker 1: millions or billions of dollars and fees. Right, money, It's 353 00:20:37,000 --> 00:20:39,800 Speaker 1: all about money, It's all about the green backs, and 354 00:20:39,880 --> 00:20:43,879 Speaker 1: hedge funds need the services that the investment banks can provide. 355 00:20:43,960 --> 00:20:46,120 Speaker 1: They need them to lend the money into so they 356 00:20:46,119 --> 00:20:49,439 Speaker 1: can leverage their bets. They need to borrow stocks often 357 00:20:49,480 --> 00:20:51,840 Speaker 1: when they go short in the market. There's a lot 358 00:20:51,880 --> 00:20:54,680 Speaker 1: of specialist prime services that the investment banks provide to 359 00:20:54,720 --> 00:20:57,080 Speaker 1: the hedge punk community, and they had a lot of 360 00:20:57,119 --> 00:21:01,240 Speaker 1: money for it, all right, Mark, I u a full disclosure. 361 00:21:01,240 --> 00:21:02,880 Speaker 1: I used to work at Credit Swiss back on those 362 00:21:02,880 --> 00:21:06,119 Speaker 1: Credit Swiss First Boston, and I know what a huge 363 00:21:06,200 --> 00:21:08,760 Speaker 1: business their prime brokerage businesses for them, as it is 364 00:21:08,800 --> 00:21:11,280 Speaker 1: for other leading Wall Street firms. So I was interested 365 00:21:11,280 --> 00:21:13,960 Speaker 1: to see the Credit Swiss is trimming it's prime broker's 366 00:21:14,040 --> 00:21:18,240 Speaker 1: exposure here post Arcticos. To me, this just feels like 367 00:21:18,520 --> 00:21:20,359 Speaker 1: a knee jerk reaction and they're going to be back 368 00:21:20,800 --> 00:21:22,760 Speaker 1: at some point, not in that arcti distant future. What 369 00:21:22,800 --> 00:21:23,800 Speaker 1: do you what do you make of what's going on 370 00:21:23,840 --> 00:21:26,680 Speaker 1: in Credit Swiss. Well, they've said that they're going to 371 00:21:26,760 --> 00:21:29,879 Speaker 1: trim by thirty five billion dollars, which is about a third, 372 00:21:29,920 --> 00:21:32,800 Speaker 1: So that shows you they've got a hundred billion dollars 373 00:21:32,800 --> 00:21:35,320 Speaker 1: out there. To the hedge fund community. There are there 374 00:21:35,320 --> 00:21:40,240 Speaker 1: are top five prime brokerage firm um. But you're probably right. 375 00:21:40,280 --> 00:21:42,560 Speaker 1: You know, once once they get over the shock of 376 00:21:42,720 --> 00:21:46,240 Speaker 1: losing this SMAs money to Arcas, they'll probably be back 377 00:21:46,280 --> 00:21:49,200 Speaker 1: into that business because it's so lucrative. There's so much 378 00:21:49,240 --> 00:21:51,200 Speaker 1: money to be made in it. You know, last year 379 00:21:51,280 --> 00:21:54,320 Speaker 1: the revenue you could make from providing new services to 380 00:21:54,359 --> 00:21:57,840 Speaker 1: hedge funds and family officers was more than thirty billion dollars. 381 00:21:57,880 --> 00:22:01,240 Speaker 1: It's grown at an average rate about eight percent years. 382 00:22:02,240 --> 00:22:04,639 Speaker 1: And given how hard it is to generate out for 383 00:22:04,680 --> 00:22:07,200 Speaker 1: given how hard it is for headge funds to generate 384 00:22:07,240 --> 00:22:10,200 Speaker 1: the returns they promised to investors in the current environments, 385 00:22:10,359 --> 00:22:13,680 Speaker 1: their demand for leverage is only going to increase, and 386 00:22:13,760 --> 00:22:16,280 Speaker 1: so the money you can make from providing those services 387 00:22:16,320 --> 00:22:19,479 Speaker 1: as an investment bank is only going to head off. Yes, 388 00:22:19,560 --> 00:22:23,000 Speaker 1: so Arcades and Greensville, right, they had a double whammy. 389 00:22:23,119 --> 00:22:26,359 Speaker 1: And I'm wondering if hedge funds out there, you know, 390 00:22:26,520 --> 00:22:30,440 Speaker 1: if you're a woman or or a dude who has 391 00:22:30,480 --> 00:22:33,920 Speaker 1: a big, risky trade and you need a prime brokerage services, 392 00:22:34,480 --> 00:22:36,879 Speaker 1: you might not pick up the phone and call Credit Sweet, right, 393 00:22:37,400 --> 00:22:41,120 Speaker 1: they might find it difficult to get that business back well. 394 00:22:41,200 --> 00:22:43,600 Speaker 1: To be honest, half of the market is dominated by 395 00:22:43,640 --> 00:22:47,439 Speaker 1: three firms Golden Sacks, Morgan Stanley and JP Morgan Um. 396 00:22:47,560 --> 00:22:50,280 Speaker 1: And if you're a hedge fund, even especially if you're 397 00:22:50,280 --> 00:22:53,240 Speaker 1: a bigger hedge funds, you probably have between three and 398 00:22:53,400 --> 00:22:56,399 Speaker 1: five prime brokers who you use for your business. You 399 00:22:56,400 --> 00:22:59,360 Speaker 1: want to spread the risks around yourself as a hedge fund, 400 00:22:59,680 --> 00:23:02,600 Speaker 1: so risks are not just one way. Plus you need 401 00:23:02,640 --> 00:23:04,680 Speaker 1: them to be able to find the stocks to lend 402 00:23:04,720 --> 00:23:07,720 Speaker 1: to you when you want to go short on a position. 403 00:23:08,280 --> 00:23:12,920 Speaker 1: So the headsphons themselves probably use a roster of firms 404 00:23:13,520 --> 00:23:17,320 Speaker 1: to gain the advantage that they're seeking by doing these 405 00:23:17,400 --> 00:23:20,240 Speaker 1: kinds of trades, by doing these leverage trades in the market. 406 00:23:21,480 --> 00:23:24,960 Speaker 1: So it's interesting that that market share from three companies 407 00:23:25,080 --> 00:23:29,320 Speaker 1: is just extraordinary. So do even the midsize investment banks 408 00:23:29,320 --> 00:23:31,880 Speaker 1: did it? Did they even have prime brokerage businesses? When 409 00:23:31,880 --> 00:23:34,840 Speaker 1: I think about it, maybe an RBC for example, high 410 00:23:34,920 --> 00:23:38,680 Speaker 1: quality kind of mid tier investment bank. There's a lot 411 00:23:38,720 --> 00:23:41,560 Speaker 1: of banks involved in the prime broker's business. I mean, 412 00:23:41,560 --> 00:23:43,760 Speaker 1: Wells Fargo is in there in the in the top 413 00:23:43,880 --> 00:23:46,480 Speaker 1: twn city groups, in the top twn bank of America's 414 00:23:46,520 --> 00:23:49,119 Speaker 1: in the top ten. Um. There's there's a lot of 415 00:23:49,160 --> 00:23:51,359 Speaker 1: crumbs to be had from from from what is a 416 00:23:51,440 --> 00:23:54,879 Speaker 1: very large table um. And again, just to repeat trendy 417 00:23:54,880 --> 00:23:57,720 Speaker 1: sweet sis, a hundred billion dollars of exposure to to 418 00:23:58,080 --> 00:24:02,520 Speaker 1: this industry um, which is you know, that shows you 419 00:24:02,560 --> 00:24:05,320 Speaker 1: how important it is to the investment banks as a 420 00:24:05,359 --> 00:24:08,360 Speaker 1: whole um. And that eight percent growth in revenue per year. 421 00:24:08,600 --> 00:24:11,040 Speaker 1: Not many businesses have had that sort of steady growth 422 00:24:11,040 --> 00:24:14,399 Speaker 1: aga as bad as secures. But also nobody wants to 423 00:24:14,440 --> 00:24:18,920 Speaker 1: get burned again like credit sweez did. And I'm guessing 424 00:24:19,480 --> 00:24:23,840 Speaker 1: they're turning out their kind of risk adversity across the board. 425 00:24:23,920 --> 00:24:27,520 Speaker 1: Is that naive of me mark or or are they 426 00:24:27,520 --> 00:24:32,120 Speaker 1: going to get more risk averse. You've got to take 427 00:24:32,160 --> 00:24:34,200 Speaker 1: on the risk to be able to do the business. 428 00:24:35,720 --> 00:24:38,800 Speaker 1: But the big bank should be in the business of 429 00:24:39,000 --> 00:24:42,200 Speaker 1: mentioning those risks adequately. Now there's been a winnowing over 430 00:24:42,200 --> 00:24:44,600 Speaker 1: the past few years anyway, more business is flowing to 431 00:24:44,680 --> 00:24:46,640 Speaker 1: the big affirms because a lot of this is down 432 00:24:46,680 --> 00:24:49,080 Speaker 1: to technology. A lot of it is down to the 433 00:24:49,200 --> 00:24:51,400 Speaker 1: software that you have, a lot of it is down 434 00:24:51,440 --> 00:24:54,760 Speaker 1: to your your ability to measure the risks across your 435 00:24:54,760 --> 00:24:57,560 Speaker 1: own from the exposure that you have to the head 436 00:24:57,600 --> 00:25:00,480 Speaker 1: front and the family office community. And that's why the 437 00:25:00,480 --> 00:25:03,479 Speaker 1: big banks have half of the market. They're just that 438 00:25:03,560 --> 00:25:06,399 Speaker 1: much better at assessing these risks, They're that much better 439 00:25:07,280 --> 00:25:10,960 Speaker 1: keeping track of what those exposures are like UM, and 440 00:25:11,000 --> 00:25:14,080 Speaker 1: frankly that they're probably that much better at squeezing the 441 00:25:14,119 --> 00:25:17,200 Speaker 1: extra revenue out of the business that can finance the 442 00:25:17,280 --> 00:25:20,440 Speaker 1: kind of back office technology they need to be able 443 00:25:20,440 --> 00:25:24,040 Speaker 1: to service these clients safely. I mean, let's not forget 444 00:25:24,040 --> 00:25:27,560 Speaker 1: Gold and got out of this completely unscathed, completely unscathed. 445 00:25:27,960 --> 00:25:30,120 Speaker 1: UM and the top of the three in the risk 446 00:25:30,160 --> 00:25:34,359 Speaker 1: management business. So yes, there are going to be increased 447 00:25:34,440 --> 00:25:36,960 Speaker 1: risks in taken on these kinds of traits, but that 448 00:25:37,000 --> 00:25:39,399 Speaker 1: should be the job of an investment bank to manage 449 00:25:39,440 --> 00:25:43,440 Speaker 1: those risks, to make sure it's being adequately compensated, because 450 00:25:43,440 --> 00:25:45,160 Speaker 1: there is no such things as a bad risk, there's 451 00:25:45,160 --> 00:25:48,840 Speaker 1: only bad compensation and bad measurements. Risk is part of 452 00:25:48,840 --> 00:25:51,600 Speaker 1: the business of of being an investment bank. Risk is 453 00:25:51,640 --> 00:25:55,760 Speaker 1: partly what headgephuns have made their money from. Being able 454 00:25:55,800 --> 00:25:58,840 Speaker 1: to assess those risks is the core of that business. 455 00:25:58,960 --> 00:26:01,880 Speaker 1: And yes, there's as a wake up call, but it's 456 00:26:01,960 --> 00:26:07,160 Speaker 1: not gonna produce I don't think any pulling back from 457 00:26:07,200 --> 00:26:10,640 Speaker 1: the most of the investment banking community. They will reassess 458 00:26:10,720 --> 00:26:13,760 Speaker 1: their risks, they will probably want to run the ruler 459 00:26:14,080 --> 00:26:16,840 Speaker 1: more firmly over the heads from the community and the 460 00:26:16,880 --> 00:26:19,200 Speaker 1: trades that they're doing. But at the end of the day, 461 00:26:19,280 --> 00:26:22,399 Speaker 1: that's how you make money in this business. Mark, is 462 00:26:22,400 --> 00:26:25,879 Speaker 1: there something just inherent in the structure of Credit Swiss 463 00:26:25,920 --> 00:26:29,280 Speaker 1: that they just are not good risk managers because it 464 00:26:29,320 --> 00:26:31,280 Speaker 1: seems like they are much more in the news than 465 00:26:31,400 --> 00:26:34,280 Speaker 1: their peers. And I'm talking over a ten or twenty 466 00:26:34,359 --> 00:26:39,520 Speaker 1: year period. I think every bank has got skeletons in 467 00:26:39,560 --> 00:26:42,520 Speaker 1: its cupboard. You know, Deutsche Bank has had several of 468 00:26:42,560 --> 00:26:45,280 Speaker 1: these blow ups. Ubs revealed today it lost almost the 469 00:26:45,320 --> 00:26:48,280 Speaker 1: building dollars on the on the on the Arcadist blow up. 470 00:26:48,359 --> 00:26:51,440 Speaker 1: So there are always going to be a postiles that 471 00:26:51,520 --> 00:26:54,480 Speaker 1: are always going to be sort of known and loans 472 00:26:54,560 --> 00:26:57,840 Speaker 1: and unknown and nots. The trick is how you react 473 00:26:57,880 --> 00:27:01,879 Speaker 1: to them, and the business is how you response to 474 00:27:02,000 --> 00:27:05,440 Speaker 1: your own risk bofile going forward, and how you assess 475 00:27:05,520 --> 00:27:09,200 Speaker 1: the risk to make sure you're adequately compensated the trades 476 00:27:09,320 --> 00:27:14,160 Speaker 1: that you've got on your book mark. Yeah, that's relating. 477 00:27:14,200 --> 00:27:16,240 Speaker 1: That kind of goes to that risk adjusted return. Matt, 478 00:27:16,280 --> 00:27:19,639 Speaker 1: you know you gotta, as Mark was suggesting. Yeah, I 479 00:27:20,000 --> 00:27:22,520 Speaker 1: just wanted to say thanks as well to Mark Gilbert. 480 00:27:22,560 --> 00:27:24,480 Speaker 1: There By the way, you can check out his piece 481 00:27:24,520 --> 00:27:26,800 Speaker 1: and the work of his colleagues as well. If you 482 00:27:26,800 --> 00:27:28,200 Speaker 1: have a Bloomberg in front of you, just type O, 483 00:27:28,320 --> 00:27:30,680 Speaker 1: P I N GO. On the web, you can type 484 00:27:30,720 --> 00:27:33,679 Speaker 1: Bloomberg dot com slash opinion. Um. And he also has 485 00:27:33,720 --> 00:27:36,520 Speaker 1: his own ticker as we as we have mentioned, and 486 00:27:36,520 --> 00:27:38,880 Speaker 1: and I Gilbert, and I Getbert for all. I don't 487 00:27:38,880 --> 00:27:40,359 Speaker 1: think I have my own ticker? Do you have? Do 488 00:27:40,359 --> 00:27:43,840 Speaker 1: you have your own Tickerment For a brief moment, if 489 00:27:43,840 --> 00:27:47,480 Speaker 1: you typed in my number, my name, sorry, um, you 490 00:27:47,520 --> 00:27:49,720 Speaker 1: would get all the charts, so you would get t 491 00:27:49,920 --> 00:27:55,360 Speaker 1: hashtag b TV go. Um. But someone intelligently removed that 492 00:27:55,400 --> 00:27:59,160 Speaker 1: feature from the terminal. Thanks for listening to the Bloomberg 493 00:27:59,240 --> 00:28:02,600 Speaker 1: Markets pod cast. You can subscribe and listen to interviews 494 00:28:02,600 --> 00:28:06,880 Speaker 1: with Apple Podcasts or whatever podcast platform you prefer. I'm 495 00:28:06,920 --> 00:28:11,280 Speaker 1: Matt Miller. I'm on Twitter at Matt Miller three. Put 496 00:28:11,320 --> 00:28:13,920 Speaker 1: on fall Sweeney. I'm on Twitter at pt sweeney Before 497 00:28:13,920 --> 00:28:16,800 Speaker 1: the podcast. You can always catch us worldwide at Bloomberg 498 00:28:16,840 --> 00:28:17,080 Speaker 1: Radio