1 00:00:00,080 --> 00:00:12,960 Speaker 1: Ye, Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane 2 00:00:13,480 --> 00:00:17,560 Speaker 1: jay Ley. We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,480 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:34,000 Speaker 1: Bloomberg dot Com, and of course on the Bloomberg Abbe 5 00:00:34,080 --> 00:00:35,960 Speaker 1: Joseph Cohen with us, and what a pleasure it is 6 00:00:36,000 --> 00:00:38,479 Speaker 1: to have her with us, with early the giant of 7 00:00:38,479 --> 00:00:42,240 Speaker 1: Bloomberg Intelligence, someone with decades of experience and securities research 8 00:00:42,640 --> 00:00:45,920 Speaker 1: in media and also in this new area of technology. 9 00:00:46,240 --> 00:00:49,960 Speaker 1: Paul Sweeney and Abbey Joseph Cohen on what Alphabet and 10 00:00:50,000 --> 00:00:52,600 Speaker 1: the rest of them wrought? Paul, I want to open 11 00:00:52,640 --> 00:00:55,040 Speaker 1: this up with the joy of having Abby with us 12 00:00:55,440 --> 00:00:59,920 Speaker 1: to what we're observing. They own the ad business thirties 13 00:01:01,080 --> 00:01:03,760 Speaker 1: and it's about the cop Douglas function that you and 14 00:01:03,800 --> 00:01:07,200 Speaker 1: I studied, an Abby lectured on and studied. The bottom 15 00:01:07,240 --> 00:01:10,560 Speaker 1: line has returns to scale have disappeared. There's a new 16 00:01:10,640 --> 00:01:16,000 Speaker 1: math and technologists are winning with this. What is Google, Amazon, Facebook, 17 00:01:16,200 --> 00:01:20,080 Speaker 1: the rest of them? When they destroy our normal returns 18 00:01:20,120 --> 00:01:22,600 Speaker 1: to scale? What are they wrought? What are they all? 19 00:01:22,640 --> 00:01:25,480 Speaker 1: They wrought? Incredible market share across their businesses. So we 20 00:01:25,600 --> 00:01:28,119 Speaker 1: just look at the internet advertising business, which is growing 21 00:01:28,160 --> 00:01:31,040 Speaker 1: twenty percent a year and dwarfing television. It's now over 22 00:01:31,120 --> 00:01:33,960 Speaker 1: seventy billion dollars in the US. It's really down to 23 00:01:34,040 --> 00:01:36,720 Speaker 1: two players, Facebook and Google. And you take a look 24 00:01:36,760 --> 00:01:39,000 Speaker 1: at e commerce. What is who is the dominant player 25 00:01:39,000 --> 00:01:42,920 Speaker 1: in e commerce? Amazon because they can reinvest money Jeff 26 00:01:42,920 --> 00:01:45,680 Speaker 1: Bezos reinvest in his business like no one else can, 27 00:01:45,880 --> 00:01:48,279 Speaker 1: can build a scale that no one else can build. 28 00:01:48,600 --> 00:01:50,680 Speaker 1: And so you see the kind of market shares that 29 00:01:50,720 --> 00:01:53,160 Speaker 1: Amazon hasn't, a power that Amazon has, and how they 30 00:01:53,200 --> 00:01:55,800 Speaker 1: can go into other businesses such as the grocery business 31 00:01:55,960 --> 00:01:59,400 Speaker 1: and disrupt that just with the drop of a hat effectively. 32 00:01:59,480 --> 00:02:01,360 Speaker 1: So it the scale we're seeing from some of these 33 00:02:01,400 --> 00:02:03,640 Speaker 1: technology companies. And the next frontier is going to be 34 00:02:03,680 --> 00:02:06,120 Speaker 1: the cloud. We've got two or three major players in 35 00:02:06,120 --> 00:02:08,920 Speaker 1: the cloud. Uh, we're seeing just extraordinary scale when you 36 00:02:09,080 --> 00:02:12,399 Speaker 1: hear this, and almost a generational shift from the returns 37 00:02:12,440 --> 00:02:15,000 Speaker 1: to scale that we all study Graham down and Condell 38 00:02:15,360 --> 00:02:18,400 Speaker 1: and the rest. Does the government need to intervene? I 39 00:02:18,440 --> 00:02:23,519 Speaker 1: mean this the concentration here of cash flows alone, does 40 00:02:23,560 --> 00:02:27,880 Speaker 1: it Does it demand government interference? Clearly? That's the conclusion 41 00:02:27,960 --> 00:02:30,400 Speaker 1: from the Europeans where they are we going to be 42 00:02:30,400 --> 00:02:33,880 Speaker 1: more European. I I think that if the Europeans are European, 43 00:02:34,000 --> 00:02:37,000 Speaker 1: that also protects us to some extent. And yes, I 44 00:02:37,040 --> 00:02:40,160 Speaker 1: do think that there is a need for government to 45 00:02:40,240 --> 00:02:42,920 Speaker 1: at least look at whether there are some elements of 46 00:02:42,960 --> 00:02:45,720 Speaker 1: this that needs to be regulated. One point that you 47 00:02:45,800 --> 00:02:48,919 Speaker 1: made has to do with market share. But let's talk 48 00:02:48,960 --> 00:02:51,800 Speaker 1: about something that we can all feel a little more directly, 49 00:02:52,200 --> 00:02:56,320 Speaker 1: and that is privacy concerns, um, and also some of 50 00:02:56,360 --> 00:02:59,440 Speaker 1: the other issues that the Europeans have been very active on, 51 00:02:59,800 --> 00:03:05,079 Speaker 1: and that is whether personal data is being sufficiently well protected. UM. 52 00:03:05,080 --> 00:03:07,959 Speaker 1: And what we did discover is when they implemented their 53 00:03:08,080 --> 00:03:11,400 Speaker 1: last round of regulatory increases a month or two ago, 54 00:03:12,000 --> 00:03:14,240 Speaker 1: many of us were affected by it as well. We 55 00:03:14,320 --> 00:03:18,840 Speaker 1: began to see some of that benefit. Most importantly, Uh, 56 00:03:18,880 --> 00:03:22,560 Speaker 1: they are and many people here too are raising alarm 57 00:03:22,639 --> 00:03:26,239 Speaker 1: bills saying let's look at it, UM. And so I'm 58 00:03:26,240 --> 00:03:29,240 Speaker 1: not coming to a conclusion about exactly what sort of 59 00:03:29,280 --> 00:03:33,360 Speaker 1: government involvement where government regulation would be appropriate, but it 60 00:03:33,480 --> 00:03:39,480 Speaker 1: is something that we have basically been ignoring to this point, UM. Paul. 61 00:03:39,560 --> 00:03:42,440 Speaker 1: To Abby's point, if you want, if you're an investor 62 00:03:42,520 --> 00:03:45,360 Speaker 1: and you actually want to remain outside the data privacy 63 00:03:45,400 --> 00:03:49,080 Speaker 1: issues swirling around a lot of these big companies, is 64 00:03:49,080 --> 00:03:52,280 Speaker 1: there anyone else apart from Apple that can give you 65 00:03:52,320 --> 00:03:56,200 Speaker 1: that safety? Well, you know, Amazon effectively, you know, as 66 00:03:56,200 --> 00:03:58,760 Speaker 1: being you know, their core e commerce business. You know, 67 00:03:58,800 --> 00:04:00,840 Speaker 1: it's kind of outside of that. We've kind of raised 68 00:04:00,880 --> 00:04:04,800 Speaker 1: the issue that Amazon is actually becoming a significant advertising 69 00:04:04,880 --> 00:04:08,120 Speaker 1: play for digital advertising, trying to break up that duopoly 70 00:04:08,200 --> 00:04:12,120 Speaker 1: between Facebook, uh and Google. So we're looking for Amazon 71 00:04:12,160 --> 00:04:14,400 Speaker 1: to have close to three billion dollars of advertising this year, 72 00:04:14,440 --> 00:04:16,760 Speaker 1: which is small for Amazon, but it's a huge growth 73 00:04:16,880 --> 00:04:19,200 Speaker 1: rate for them. So it just appears, as Abby mentioned that, 74 00:04:19,279 --> 00:04:21,400 Speaker 1: you know, when you look at the technology space, really 75 00:04:21,400 --> 00:04:23,279 Speaker 1: over the last twenty five or thirty years, starting with 76 00:04:23,360 --> 00:04:26,320 Speaker 1: Microsoft and their operating system, the Europeans have really taken 77 00:04:26,320 --> 00:04:30,480 Speaker 1: the lead on regulating the U S technology sector. The 78 00:04:30,600 --> 00:04:33,320 Speaker 1: US has had a very very light hand. We noticed 79 00:04:33,320 --> 00:04:35,240 Speaker 1: a little bit of a change when the you know, 80 00:04:35,279 --> 00:04:37,799 Speaker 1: the US Congress brought Mark Zuckerberg in front of them 81 00:04:37,839 --> 00:04:40,080 Speaker 1: a month or so ago. That really marked a change, 82 00:04:40,080 --> 00:04:43,159 Speaker 1: and it really raised the question amongst investors is is 83 00:04:43,200 --> 00:04:45,920 Speaker 1: this the point where the US Congress and the regulative 84 00:04:46,080 --> 00:04:47,960 Speaker 1: environment is going to step up its view of the 85 00:04:48,000 --> 00:04:51,880 Speaker 1: technology business. To date, it's taking a very light hand. Yeah, 86 00:04:51,920 --> 00:04:55,200 Speaker 1: but if you look at Alphabet, I'm sorry, just one 87 00:04:55,279 --> 00:05:00,000 Speaker 1: very observation, and that is when Mark Zuckerberg appeared before Congress, 88 00:05:00,080 --> 00:05:02,680 Speaker 1: it became very clear that the members of our Congress 89 00:05:02,960 --> 00:05:06,800 Speaker 1: were ill informed with regard to the technology business. And 90 00:05:06,960 --> 00:05:10,640 Speaker 1: it is very difficult to see that cast of characters 91 00:05:10,720 --> 00:05:13,880 Speaker 1: making good decisions. So it would be important for us 92 00:05:13,920 --> 00:05:17,800 Speaker 1: to build expertise someplace in terms of people who really 93 00:05:17,839 --> 00:05:21,520 Speaker 1: do understand how technology works and is affecting the economy 94 00:05:21,600 --> 00:05:24,400 Speaker 1: and consumers in particular. Well, we talked to lex Web 95 00:05:24,400 --> 00:05:27,560 Speaker 1: in the last hour about the the idea that that 96 00:05:27,720 --> 00:05:30,800 Speaker 1: the other bets at Alphabet. You know they're there, and 97 00:05:30,839 --> 00:05:34,680 Speaker 1: I guess they're important, but it's a core ad business. 98 00:05:34,760 --> 00:05:37,359 Speaker 1: Why should they stop? I mean, I mean, what is 99 00:05:37,360 --> 00:05:40,799 Speaker 1: the motivation for Google or or or Amazon and basis 100 00:05:40,839 --> 00:05:42,800 Speaker 1: We talked to Ken Lang going to home Depot the 101 00:05:42,839 --> 00:05:45,120 Speaker 1: other day of the advantages of competing with the Amazon 102 00:05:45,320 --> 00:05:47,640 Speaker 1: because they keep you going. They're not going to stop. 103 00:05:47,760 --> 00:05:51,960 Speaker 1: There's no indication now we've seen there they're spending It's 104 00:05:51,960 --> 00:05:53,440 Speaker 1: one of the issues at Alphabet when we see the 105 00:05:53,440 --> 00:05:57,479 Speaker 1: spending in Alphabet, Amazon, Facebook, they continue to spend significant 106 00:05:57,480 --> 00:06:00,480 Speaker 1: amounts of money, you know, double Digital. They're spending its partley, 107 00:06:00,600 --> 00:06:02,440 Speaker 1: I think they're spending it smarting because they're spending it 108 00:06:02,480 --> 00:06:04,920 Speaker 1: on people and technology. So we like to see R 109 00:06:04,960 --> 00:06:06,720 Speaker 1: and D, and the R and D remains very high 110 00:06:06,760 --> 00:06:09,120 Speaker 1: at these companies. We're seeing a lot of spending in 111 00:06:09,120 --> 00:06:11,479 Speaker 1: the cloud. We're seeing a lot of spending on talent. 112 00:06:11,520 --> 00:06:14,600 Speaker 1: They add another four thousand people over the quarter, and 113 00:06:14,600 --> 00:06:17,760 Speaker 1: these are all high end engineers. So the companies continue 114 00:06:17,800 --> 00:06:20,440 Speaker 1: to reinvest in their business, which I think creates you 115 00:06:20,480 --> 00:06:34,680 Speaker 1: know what people like refer to as a mote. We 116 00:06:34,760 --> 00:06:37,560 Speaker 1: are thrilled to bring you Abby Joseph Cohen of Goldman Sachs. 117 00:06:37,600 --> 00:06:39,400 Speaker 1: And there could be any number of themes to speak 118 00:06:39,400 --> 00:06:42,760 Speaker 1: of with her. Yes, it's about equity investment, far and 119 00:06:42,800 --> 00:06:46,040 Speaker 1: more it is about intellectual rigor, her work with the 120 00:06:46,040 --> 00:06:48,240 Speaker 1: c f a institute of which I'm a member, as 121 00:06:48,279 --> 00:06:53,240 Speaker 1: well her publications within their many academic journals, including a 122 00:06:53,400 --> 00:06:56,240 Speaker 1: rather high level of Mathewiness as well. That makes your 123 00:06:56,279 --> 00:07:00,479 Speaker 1: appropriate to speak of the mathematician Cliff Affness of Tufts 124 00:07:00,560 --> 00:07:03,560 Speaker 1: and of course his work in Chicago with Eugene Fama, 125 00:07:03,920 --> 00:07:08,320 Speaker 1: and this idea of factor investing. Let's partition out what 126 00:07:08,360 --> 00:07:14,080 Speaker 1: we all learned into momentum, into value, into quality, small cap, 127 00:07:14,160 --> 00:07:17,080 Speaker 1: large cap, but a few other things and will do better. 128 00:07:17,160 --> 00:07:20,280 Speaker 1: And obviously Cliff and a q R has proven he 129 00:07:20,360 --> 00:07:23,200 Speaker 1: can do this better. But is it by what he 130 00:07:23,400 --> 00:07:27,440 Speaker 1: does do with factor investing or is it something that 131 00:07:27,520 --> 00:07:31,600 Speaker 1: helps him avoid doing things? Which is it? I believe 132 00:07:31,640 --> 00:07:34,560 Speaker 1: it's the combination. Tom and I have to say that 133 00:07:34,720 --> 00:07:38,520 Speaker 1: factor analysis is something that many people are now familiar with, 134 00:07:38,920 --> 00:07:41,560 Speaker 1: But when Cliff was a relatively young person in the 135 00:07:41,640 --> 00:07:46,600 Speaker 1: industry at Goldman Sachs and we discussed factor analysis, and 136 00:07:46,680 --> 00:07:48,960 Speaker 1: I don't mean to toot my horn here, but I 137 00:07:49,040 --> 00:07:51,720 Speaker 1: was one of the few people in the research department 138 00:07:51,920 --> 00:07:55,080 Speaker 1: who is familiar with it because factor analysis is a 139 00:07:55,120 --> 00:07:57,960 Speaker 1: technique that's been around for a long time for things 140 00:07:58,000 --> 00:08:01,440 Speaker 1: like economic development and e can m growth. What a 141 00:08:01,600 --> 00:08:05,720 Speaker 1: q R has done, which is unusual and extremely well 142 00:08:05,800 --> 00:08:09,400 Speaker 1: executed by Cliff and his team, has been to apply 143 00:08:09,920 --> 00:08:14,320 Speaker 1: the mathematics of factor analysis to financial markets. And it 144 00:08:14,560 --> 00:08:18,000 Speaker 1: is a question of finding opportunity. But as you point 145 00:08:18,080 --> 00:08:21,200 Speaker 1: out also to find risks. And so this is a 146 00:08:21,280 --> 00:08:23,800 Speaker 1: discipline because if you're within folks, it's not like the 147 00:08:23,840 --> 00:08:26,800 Speaker 1: bell curve of your high school class. It's a long, 148 00:08:26,960 --> 00:08:30,400 Speaker 1: normal distribution, and as you know, it's asymmetric where you 149 00:08:30,520 --> 00:08:33,280 Speaker 1: lose more on the downside than gain on the upside. 150 00:08:33,640 --> 00:08:38,680 Speaker 1: Factor analysis assist you in losing less, I would suggest, 151 00:08:38,840 --> 00:08:41,240 Speaker 1: and that's been the charm of a q R. It 152 00:08:41,320 --> 00:08:45,800 Speaker 1: also helps explain what's going on. It helps explain why 153 00:08:45,920 --> 00:08:50,320 Speaker 1: certain sector, certain securities are performing well, those with high 154 00:08:50,400 --> 00:08:54,480 Speaker 1: correlation to growth, those with high correlation to exports, those 155 00:08:54,559 --> 00:08:58,120 Speaker 1: with low correlation to other factors. And this is really 156 00:08:58,160 --> 00:09:02,680 Speaker 1: important and it's intellectual the appealing because it explains things. 157 00:09:02,920 --> 00:09:06,720 Speaker 1: It's not a magical black box. It actually is a 158 00:09:06,800 --> 00:09:10,600 Speaker 1: box that helps explain what's happening in the economy and 159 00:09:10,679 --> 00:09:13,240 Speaker 1: what's happening in the financial markets, not just in the 160 00:09:13,320 --> 00:09:17,480 Speaker 1: United States but globally. Um Ay, Joseph Kin, how should 161 00:09:17,520 --> 00:09:20,880 Speaker 1: investors prepare and where should they invest to I guess 162 00:09:20,920 --> 00:09:23,440 Speaker 1: be more prepared for the economy of the future. So 163 00:09:23,480 --> 00:09:25,680 Speaker 1: I don't know whether it moves from you know, the 164 00:09:25,720 --> 00:09:29,440 Speaker 1: sharing economy to artificial intelligence, and whether that also engulfs 165 00:09:29,520 --> 00:09:33,319 Speaker 1: driverless cars. There are so many issues, and I'm glad 166 00:09:33,559 --> 00:09:36,240 Speaker 1: that you mentioned just a handful of them. I always 167 00:09:36,280 --> 00:09:40,200 Speaker 1: start with valuation. The valuation of the SMP five hundred 168 00:09:40,360 --> 00:09:43,240 Speaker 1: right now is just about where it should be, which 169 00:09:43,280 --> 00:09:47,080 Speaker 1: means we really need to look for miss pricing, either 170 00:09:47,200 --> 00:09:49,880 Speaker 1: on the upside or downside, so we can avoid some 171 00:09:50,000 --> 00:09:53,120 Speaker 1: of those big problems. But as you properly point out, 172 00:09:53,640 --> 00:09:57,319 Speaker 1: we need to identify longer term opportunities because they may 173 00:09:57,480 --> 00:10:00,440 Speaker 1: very well be mispriced. One of the concern I have 174 00:10:00,640 --> 00:10:03,959 Speaker 1: right now is there such enthusiasm for some of these 175 00:10:04,000 --> 00:10:07,640 Speaker 1: new technologies, they are not priced in a cheap manner 176 00:10:07,679 --> 00:10:10,720 Speaker 1: in the marketplace. And what that tells me is not 177 00:10:10,840 --> 00:10:13,920 Speaker 1: that those stocks are going to go down, but rather 178 00:10:14,160 --> 00:10:20,160 Speaker 1: if there is some unfortunate information, unfortunate development, unfortunate news, 179 00:10:20,240 --> 00:10:22,840 Speaker 1: even if it's just a quarter or two, there's not 180 00:10:23,000 --> 00:10:27,920 Speaker 1: much margin or cushion for error, and that becomes a concern. 181 00:10:28,440 --> 00:10:32,080 Speaker 1: Am I keen on technology? Of course, we all are 182 00:10:32,200 --> 00:10:35,319 Speaker 1: just taking a look at the impact on our economy, 183 00:10:35,600 --> 00:10:39,480 Speaker 1: but we also have to recognize that technologies uh to 184 00:10:39,679 --> 00:10:43,000 Speaker 1: use just the parlance and the vernacular. They don't have 185 00:10:43,040 --> 00:10:46,280 Speaker 1: to be just cool, they actually have to produce a 186 00:10:46,280 --> 00:10:50,520 Speaker 1: product and one where this is sustainable business model. But 187 00:10:50,760 --> 00:10:53,680 Speaker 1: does the bigger you know player take all I know 188 00:10:53,760 --> 00:10:57,160 Speaker 1: Tom wants talking about Amazon. How much bigger can Amazon 189 00:10:57,200 --> 00:11:00,320 Speaker 1: actually become? And can they completely dominate everything we do 190 00:11:00,520 --> 00:11:03,760 Speaker 1: day today? I'm going to go back to one of 191 00:11:03,760 --> 00:11:07,080 Speaker 1: the first readings I did for the c f A program, 192 00:11:07,120 --> 00:11:10,200 Speaker 1: and it was a case study of the International Business 193 00:11:10,280 --> 00:11:14,719 Speaker 1: Machines Company, which in the nineteen fifties and nineteen sixties 194 00:11:15,240 --> 00:11:19,400 Speaker 1: many investors at that point viewed that its growth was 195 00:11:19,440 --> 00:11:22,320 Speaker 1: going to be unlimited. Uh and if you just did 196 00:11:22,360 --> 00:11:25,640 Speaker 1: some simple arithmetic, ten years later, it was going to 197 00:11:25,679 --> 00:11:30,160 Speaker 1: account for more than fifty of US g d P. Obviously, 198 00:11:30,400 --> 00:11:34,040 Speaker 1: things do not grow to the sky. Things happen um 199 00:11:34,240 --> 00:11:37,800 Speaker 1: and and so I happen to not be commenting on 200 00:11:37,840 --> 00:11:41,160 Speaker 1: the company you asked about, just to say, let's take 201 00:11:41,160 --> 00:11:44,360 Speaker 1: a look at sustainable models. It's the business model, but 202 00:11:44,480 --> 00:11:48,400 Speaker 1: also what happens in terms of exogenous factors. Let's combine 203 00:11:48,440 --> 00:11:51,880 Speaker 1: in here Immotson of Yale with Robin wiggles Worth, great 204 00:11:52,000 --> 00:11:55,280 Speaker 1: article in the ft on factor analysis. Here's the chart 205 00:11:55,320 --> 00:11:57,200 Speaker 1: I use it down here in instead of the SMP 206 00:11:58,120 --> 00:12:01,160 Speaker 1: but they look remarkably the same. The going back to 207 00:12:01,240 --> 00:12:04,320 Speaker 1: the beginning of the twentieth century, the huge depression moved 208 00:12:04,360 --> 00:12:07,520 Speaker 1: there and then a log move up up and higher. 209 00:12:07,559 --> 00:12:09,200 Speaker 1: And I want to go in here to momentum. I 210 00:12:09,200 --> 00:12:11,000 Speaker 1: know you're not going to comment on Amazon. I'm just 211 00:12:11,120 --> 00:12:14,640 Speaker 1: using that is this era's trophy. Momentum is such a 212 00:12:14,840 --> 00:12:18,040 Speaker 1: dangerous thing. It goes back to Weinberg of your Golden Sex, 213 00:12:18,320 --> 00:12:21,440 Speaker 1: the trees growing to the sky. Are we anywhere near 214 00:12:21,520 --> 00:12:26,240 Speaker 1: a tree's going to the sky? Abby? Joseph Cohen Factor analysis. 215 00:12:26,280 --> 00:12:28,800 Speaker 1: I'll tell you what our factor analysis is now showing, 216 00:12:29,320 --> 00:12:32,800 Speaker 1: and that is momentum stocks have actually underperformed the SNP 217 00:12:32,960 --> 00:12:36,920 Speaker 1: five by about ten percentage points year to date. That 218 00:12:37,000 --> 00:12:41,079 Speaker 1: doesn't mean all momentum stocks, but on average we've also 219 00:12:41,160 --> 00:12:46,520 Speaker 1: seen underperformance of about that magnitude for stocks with international exposure. 220 00:12:46,920 --> 00:12:49,679 Speaker 1: So what we're basically seeing is that investors with a 221 00:12:49,800 --> 00:12:53,480 Speaker 1: market that is roughly at fair value are becoming more 222 00:12:53,600 --> 00:12:56,960 Speaker 1: careful in their selection process, and that's exactly what they 223 00:12:56,960 --> 00:12:59,240 Speaker 1: should be doing. Is cash a new asset for you? 224 00:12:59,679 --> 00:13:03,000 Speaker 1: Uh hash is an asset for us and something that 225 00:13:03,520 --> 00:13:06,560 Speaker 1: investors should not be thinking about either. In or out, 226 00:13:07,080 --> 00:13:12,200 Speaker 1: but rather as equities rise and evaluations do not improve 227 00:13:12,800 --> 00:13:17,000 Speaker 1: because perhaps not prices rise more uh than the earnings 228 00:13:17,280 --> 00:13:22,240 Speaker 1: underneath them are growing, it's time to raise cash levels. UM. 229 00:13:22,240 --> 00:13:25,360 Speaker 1: We also have been recommending to raise cash, as I 230 00:13:25,440 --> 00:13:28,839 Speaker 1: mentioned before, from fixed income, because so many fixed income 231 00:13:28,880 --> 00:13:32,400 Speaker 1: markets don't really seem to offer good value at this point. John, 232 00:13:32,480 --> 00:13:35,080 Speaker 1: thank you so much. We'll continue this discussion on Bloomberg 233 00:13:35,160 --> 00:13:37,720 Speaker 1: Radio with Mr Farrell. We'll do that worldwide, of course. 234 00:13:37,720 --> 00:13:41,640 Speaker 1: Abby Joseph Cohn is advisory director and senior investment strategists 235 00:13:41,679 --> 00:13:58,600 Speaker 1: at Golden Sex John Farren Our Studios in Washington and 236 00:13:58,720 --> 00:14:01,120 Speaker 1: Tom Keenan New York. And with this just speaking with 237 00:14:01,120 --> 00:14:03,439 Speaker 1: Avy Joseph Cohen of Golden SAX and now ahead of 238 00:14:03,480 --> 00:14:06,240 Speaker 1: their commodities research. Just by chance the two of them 239 00:14:06,320 --> 00:14:09,800 Speaker 1: back to back here, Jeffrey Curry uh and and great 240 00:14:09,840 --> 00:14:11,800 Speaker 1: to speak to you, Jeff and I want to go 241 00:14:11,920 --> 00:14:15,680 Speaker 1: more holistic away from what's oil gonna do to the 242 00:14:15,720 --> 00:14:20,239 Speaker 1: basic idea of what do you observe in the commodity markets, 243 00:14:21,040 --> 00:14:25,880 Speaker 1: about the disparity of GDP growth nation to nation, and 244 00:14:25,920 --> 00:14:28,840 Speaker 1: also the make of America great boom that we're seeing 245 00:14:28,840 --> 00:14:32,320 Speaker 1: now in the US. What do commodities tell you about 246 00:14:32,360 --> 00:14:36,920 Speaker 1: those unique two thousand and eighteen features. I think when 247 00:14:36,960 --> 00:14:40,680 Speaker 1: you look at the split between copper and oil, it 248 00:14:40,680 --> 00:14:44,360 Speaker 1: tells you a lot Oil is a developed market commodity 249 00:14:44,520 --> 00:14:48,560 Speaker 1: and copper and the medals complex or an emerging market commodity. 250 00:14:48,760 --> 00:14:52,600 Speaker 1: The tightness, the strength in oil is substantially greater than 251 00:14:52,640 --> 00:14:55,520 Speaker 1: the rest of the commodity complex, which is an indication 252 00:14:55,680 --> 00:14:58,520 Speaker 1: that the strength and demand is coming out of the 253 00:14:58,560 --> 00:15:01,440 Speaker 1: developed markets. Yeah. You even in Europe surprising to the 254 00:15:01,520 --> 00:15:04,160 Speaker 1: upside for the first time in many years, while you 255 00:15:04,200 --> 00:15:07,000 Speaker 1: have weakness coming out of Brazil, Russia and the rest 256 00:15:07,120 --> 00:15:11,120 Speaker 1: best of the emerging markets. And it's unusual this late 257 00:15:11,160 --> 00:15:13,720 Speaker 1: in the business cycle that you would see such a 258 00:15:13,760 --> 00:15:17,360 Speaker 1: predominance of oil over the arrest of the complex. And 259 00:15:17,360 --> 00:15:19,480 Speaker 1: the only other time we saw that was the dot 260 00:15:19,520 --> 00:15:24,040 Speaker 1: com boom in late so it's a pretty rare dynamic 261 00:15:24,120 --> 00:15:26,200 Speaker 1: to see this playing out. So, Jeff, I guess the 262 00:15:26,240 --> 00:15:28,240 Speaker 1: question we've got to Alaska is whether the weakness we 263 00:15:28,320 --> 00:15:31,240 Speaker 1: see in emerging markets that's captured by the compass story 264 00:15:31,600 --> 00:15:34,560 Speaker 1: starts to bleed into a weak a macro backdrop and 265 00:15:34,640 --> 00:15:37,160 Speaker 1: developed economies and post crew down with it. Do you 266 00:15:37,200 --> 00:15:41,240 Speaker 1: see that happening? Actually, when we look at what's going 267 00:15:41,320 --> 00:15:44,080 Speaker 1: on right now, I got to call it the terrible trio. 268 00:15:45,080 --> 00:15:49,920 Speaker 1: You have rising rates, high oil, and a strong dollar. 269 00:15:50,120 --> 00:15:52,960 Speaker 1: Rarely do you ever see that trio. And when you 270 00:15:53,000 --> 00:15:57,600 Speaker 1: see that trio is substantially tightening to the emerging market. 271 00:15:57,640 --> 00:16:00,320 Speaker 1: So it's usually And again, last time we saw this 272 00:16:00,400 --> 00:16:03,560 Speaker 1: trio was deer than dot com bubble, where you had, 273 00:16:03,840 --> 00:16:06,520 Speaker 1: you know, extreme strong growth in the US that was 274 00:16:06,560 --> 00:16:09,000 Speaker 1: not being shared by the rest of the world. And 275 00:16:09,080 --> 00:16:12,400 Speaker 1: eventually you had the strength in the US, propelled through 276 00:16:12,480 --> 00:16:15,560 Speaker 1: higher oil, rising rates, end up killing off the emerging market. 277 00:16:15,600 --> 00:16:18,920 Speaker 1: So I'm not so worried about the emerging markets creating 278 00:16:19,480 --> 00:16:22,640 Speaker 1: um a drag on the developed markets as as I 279 00:16:22,680 --> 00:16:25,280 Speaker 1: am about the develop markets putting more pressure on the 280 00:16:25,280 --> 00:16:29,280 Speaker 1: emerging markets. Nonetheless, I would say that dynamic has weakened. 281 00:16:29,320 --> 00:16:32,040 Speaker 1: Oils come off to seventy two, and the dollars weaker. 282 00:16:32,320 --> 00:16:36,600 Speaker 1: Just something esoteric like live cattle. I mean, two thousand 283 00:16:36,600 --> 00:16:40,040 Speaker 1: went nowhere, arise through the next decade, and then the 284 00:16:40,040 --> 00:16:43,640 Speaker 1: boom obviously two thousand ten, up we go and we're 285 00:16:43,680 --> 00:16:47,760 Speaker 1: back at that base now threatening to break support and 286 00:16:47,800 --> 00:16:51,520 Speaker 1: The background story is with tariff talk, there's a huge 287 00:16:51,560 --> 00:16:55,480 Speaker 1: backup of meat in America that can't be exported. That's 288 00:16:55,480 --> 00:16:58,360 Speaker 1: one of those little micro data points. How do you 289 00:16:58,440 --> 00:17:01,680 Speaker 1: treat that? At Goldman Sex. In fact, when we look 290 00:17:01,720 --> 00:17:05,879 Speaker 1: at what has changed in the in the the the 291 00:17:05,920 --> 00:17:09,439 Speaker 1: trade war dynamic, it has become much more damaged in 292 00:17:09,440 --> 00:17:13,080 Speaker 1: to commodities, a tangible thing. And here's the reason why 293 00:17:13,200 --> 00:17:16,600 Speaker 1: we went from a concept of a trade war and 294 00:17:16,640 --> 00:17:19,560 Speaker 1: then sometime in mid June to July, we went to 295 00:17:19,680 --> 00:17:23,040 Speaker 1: a physical trade war. And once it became physical, it 296 00:17:23,240 --> 00:17:26,240 Speaker 1: ceased to be a macro dynamic and became much more 297 00:17:26,400 --> 00:17:29,040 Speaker 1: of a micro dynamic. Because not only do you see 298 00:17:29,040 --> 00:17:31,960 Speaker 1: that happening in the meats markets, but if you look 299 00:17:32,000 --> 00:17:35,080 Speaker 1: at like metals, even down to aluminum, the type of 300 00:17:35,600 --> 00:17:39,560 Speaker 1: rolled aluminum versus slab aluminum, all of these dynamics start 301 00:17:39,640 --> 00:17:44,080 Speaker 1: to matter the President. We featured this Jeff about an 302 00:17:44,080 --> 00:17:46,040 Speaker 1: hour ago. I don't even know if you've seen this 303 00:17:46,080 --> 00:17:49,200 Speaker 1: in the blur. Tariffs are the greatest. Either a country 304 00:17:49,280 --> 00:17:52,240 Speaker 1: which is treated the United States unfairly untrade negotiates a 305 00:17:52,240 --> 00:17:55,160 Speaker 1: fair deal, or it gets hits with tariffs. It's as 306 00:17:55,160 --> 00:17:59,560 Speaker 1: simple as that and everybody's talking exclamation point. Remember we 307 00:17:59,640 --> 00:18:04,160 Speaker 1: are the quote piggy bank unquote that's being robbed. All 308 00:18:04,200 --> 00:18:07,680 Speaker 1: will be great exclamation point. So you get a cup 309 00:18:07,680 --> 00:18:10,879 Speaker 1: of coffee with the President to explain that, you know, 310 00:18:11,840 --> 00:18:14,920 Speaker 1: mercantile economics ain't gonna cut it in the modern world. 311 00:18:14,960 --> 00:18:17,679 Speaker 1: What do you say to Mr Trump? I think one 312 00:18:17,760 --> 00:18:20,920 Speaker 1: of the key dynamics in global trade now that separates 313 00:18:20,960 --> 00:18:25,440 Speaker 1: even from the six hundreds today is the interdependency of production, 314 00:18:25,800 --> 00:18:28,880 Speaker 1: meaning that a car, the transmission could be produced in Mexico, 315 00:18:29,119 --> 00:18:33,760 Speaker 1: the you know, the the drive train is produced in Europe. 316 00:18:33,880 --> 00:18:37,320 Speaker 1: You know transmissions in uh India. You put it all together. 317 00:18:37,440 --> 00:18:42,679 Speaker 1: Given the interdependency, it's very difficult to take one of 318 00:18:42,720 --> 00:18:45,639 Speaker 1: the links out. And you see that with with with 319 00:18:45,640 --> 00:18:47,160 Speaker 1: the autos, which I think is gonna be a big 320 00:18:47,160 --> 00:18:50,000 Speaker 1: issue in the US. Coming up here with Europe is 321 00:18:50,040 --> 00:18:52,359 Speaker 1: that the drive trains are produced in Europe shipped to 322 00:18:52,440 --> 00:18:54,960 Speaker 1: the US. The cars are produced in the US and 323 00:18:54,960 --> 00:18:57,400 Speaker 1: then shipped elsewhere in the world. SUVs that come out 324 00:18:57,400 --> 00:18:59,800 Speaker 1: of South Carolina go all over the world. And that's 325 00:18:59,800 --> 00:19:02,480 Speaker 1: our to European production. So which one are you taxing? 326 00:19:02,560 --> 00:19:06,000 Speaker 1: European production or US production. Jeff, The supply chains are 327 00:19:06,000 --> 00:19:08,560 Speaker 1: clearly very complex at the moment. I think arguably, though, 328 00:19:08,600 --> 00:19:10,680 Speaker 1: what was seeing in terms of economic impact is it's 329 00:19:10,720 --> 00:19:13,800 Speaker 1: hurting China more than it's hurting the United States of America. 330 00:19:13,880 --> 00:19:16,239 Speaker 1: This morning. There's a huge question being goss and it's 331 00:19:16,280 --> 00:19:20,000 Speaker 1: whether we're at an inflection point with the Chinese authorities 332 00:19:20,040 --> 00:19:23,320 Speaker 1: as they shift away from de leveraging and towards perhaps 333 00:19:23,359 --> 00:19:25,760 Speaker 1: some kind of stimulus. What's your read on what's happening 334 00:19:25,760 --> 00:19:28,359 Speaker 1: in China right now, Jeff Oh, I think you hit 335 00:19:28,400 --> 00:19:30,639 Speaker 1: the nail on the head. It's the deleveraging issue. De 336 00:19:30,840 --> 00:19:33,640 Speaker 1: Leveraging in its own was not concerning when you had 337 00:19:33,720 --> 00:19:37,240 Speaker 1: strong external demands, so they could de lever and have 338 00:19:37,359 --> 00:19:40,120 Speaker 1: policy focused on de leveraging as long as they had 339 00:19:40,359 --> 00:19:43,720 Speaker 1: strong external demand to offset it. The problem now is 340 00:19:43,760 --> 00:19:46,320 Speaker 1: they don't have that strong external demand. They have a 341 00:19:46,359 --> 00:19:48,080 Speaker 1: trade war on top of that, on top of the 342 00:19:48,119 --> 00:19:51,000 Speaker 1: de leveraging, which is why copper has sold off tremendus. 343 00:19:51,000 --> 00:19:53,240 Speaker 1: So you look at the fundamentals of copper today, they're 344 00:19:53,280 --> 00:19:55,320 Speaker 1: not that bad. They don't warrant the sell off that 345 00:19:55,320 --> 00:19:57,359 Speaker 1: we've seen, which by the way, was as big as 346 00:19:57,400 --> 00:19:59,399 Speaker 1: what we saw in ninety six near and Sumi Tomas, 347 00:19:59,440 --> 00:20:02,280 Speaker 1: so it's a sub stantial sell off. Um. We believe 348 00:20:02,359 --> 00:20:04,760 Speaker 1: that as you look forward, the market has um put, 349 00:20:05,080 --> 00:20:08,320 Speaker 1: you know, pricing in a far greater decline in demand 350 00:20:08,359 --> 00:20:10,720 Speaker 1: of four hundred thousand tons and what really should be 351 00:20:11,119 --> 00:20:13,280 Speaker 1: um the likely outcome going for because I think we 352 00:20:13,320 --> 00:20:16,720 Speaker 1: look at the policy is hey, they've reversed course, they're 353 00:20:16,760 --> 00:20:19,719 Speaker 1: starting to create stamus. We saw some of that this morning. UM. 354 00:20:19,760 --> 00:20:21,600 Speaker 1: So that's why we would view copper as being a 355 00:20:21,600 --> 00:20:23,800 Speaker 1: buy right here. So, Jeff, we've seen this movie a 356 00:20:23,840 --> 00:20:26,320 Speaker 1: couple of times. Quite a few times. Growth starts to 357 00:20:26,440 --> 00:20:30,560 Speaker 1: pull low up pressures build. The Chinese don't completely capitulate 358 00:20:30,600 --> 00:20:33,560 Speaker 1: on their efforts, but they drift back towards pushing the 359 00:20:33,560 --> 00:20:37,040 Speaker 1: credit lever once again, Jeff, Does that still have as 360 00:20:37,119 --> 00:20:39,040 Speaker 1: much bang for its buck than it did, say, two 361 00:20:39,119 --> 00:20:42,359 Speaker 1: years ago? No, But I think it goes to the 362 00:20:42,160 --> 00:20:45,320 Speaker 1: the issue Tom was talking about micro versus the macro. 363 00:20:45,840 --> 00:20:48,520 Speaker 1: Um Because of a macro perspective, it doesn't have the 364 00:20:48,560 --> 00:20:50,440 Speaker 1: same bang as a buck, But if you get down 365 00:20:50,440 --> 00:20:52,680 Speaker 1: into the weeds and look at the micro it does. 366 00:20:52,760 --> 00:20:54,280 Speaker 1: And if you look at what they did when they 367 00:20:54,280 --> 00:20:59,960 Speaker 1: tried to cool the property market. They targeted high, high 368 00:21:00,200 --> 00:21:03,520 Speaker 1: cost marginal developers this time around as of trying to 369 00:21:03,520 --> 00:21:05,600 Speaker 1: target the rest of the industry. And I think that 370 00:21:05,840 --> 00:21:08,119 Speaker 1: this is a common theme across and just not China, 371 00:21:08,200 --> 00:21:10,600 Speaker 1: but the rest of the world is that everything is 372 00:21:10,600 --> 00:21:13,000 Speaker 1: going down to the micro, like the meat markets, like 373 00:21:13,280 --> 00:21:16,680 Speaker 1: targeting high end property developers as opposed to the property 374 00:21:16,720 --> 00:21:19,320 Speaker 1: market in China. So that's the way they're going after 375 00:21:19,359 --> 00:21:21,560 Speaker 1: it now, because you're right, hitting it on a macro 376 00:21:21,640 --> 00:21:24,520 Speaker 1: basis just doesn't have the same bang as it had before. Yeah, 377 00:21:24,560 --> 00:21:26,680 Speaker 1: and and words guilty of that. I mean, John's not, 378 00:21:26,840 --> 00:21:29,080 Speaker 1: but I'm guilty of that. I've always going macro or 379 00:21:29,160 --> 00:21:33,119 Speaker 1: this micro stuff really really matters within this and with 380 00:21:33,280 --> 00:21:39,400 Speaker 1: the long on copper, the memories of nineties our our 381 00:21:39,600 --> 00:21:45,640 Speaker 1: e M politics and their linkage to commodities as naive 382 00:21:45,760 --> 00:21:51,080 Speaker 1: and fragile as they were in August of my short 383 00:21:51,119 --> 00:21:53,240 Speaker 1: answer is going to be no on that. And the 384 00:21:53,280 --> 00:21:55,240 Speaker 1: reason why has to do with the fact that you 385 00:21:55,320 --> 00:21:59,520 Speaker 1: don't have the same debt dynamic of external demand or 386 00:21:59,600 --> 00:22:03,199 Speaker 1: external debt driven by dollar with a potential for a 387 00:22:03,240 --> 00:22:06,160 Speaker 1: weakening currency. The only one who still has that set 388 00:22:06,240 --> 00:22:08,439 Speaker 1: up is Argentina, and you've already paid the price in 389 00:22:08,520 --> 00:22:13,359 Speaker 1: Argentina until a lesser extent um. Uh. Turkey. But yeah, 390 00:22:13,480 --> 00:22:18,040 Speaker 1: when we think about, you know, what's happening outside of Brazil, 391 00:22:18,240 --> 00:22:25,280 Speaker 1: Argentina and Turkey, it doesn't look that bad. India, Indonesia dynamic. 392 00:22:25,880 --> 00:22:30,160 Speaker 1: Indonesia is not as vulnerable as they were in the nineties. No, 393 00:22:30,320 --> 00:22:34,119 Speaker 1: not even close, because they've learned from their mistakes. Jeffrey Curry, 394 00:22:34,160 --> 00:22:36,280 Speaker 1: thank you so much. Never enough time I had a 395 00:22:36,320 --> 00:22:53,280 Speaker 1: commodity research at Golden sick pharaon Washington would teariff slash 396 00:22:53,320 --> 00:22:57,240 Speaker 1: taxes our front and center. I'm Tim kenw York. Now 397 00:22:57,240 --> 00:23:00,439 Speaker 1: with this very lovely of Syracuse Universe city and of 398 00:23:00,440 --> 00:23:04,879 Speaker 1: course a Peterson Institute. She writes piercing direct work on 399 00:23:05,000 --> 00:23:09,160 Speaker 1: stuff that usually blah blah blah blah blah within the media. Mary, 400 00:23:09,240 --> 00:23:12,919 Speaker 1: you've just killed it with Cohen, Setton and Young on 401 00:23:13,280 --> 00:23:16,760 Speaker 1: Actually what auto tariffs mean? What does the number one 402 00:23:16,880 --> 00:23:20,760 Speaker 1: message when you go through the mathiness of these new 403 00:23:20,840 --> 00:23:26,439 Speaker 1: taxes on European cars? Well, the taxes will be on 404 00:23:26,720 --> 00:23:29,880 Speaker 1: cars that contain content from Europe as well as other 405 00:23:29,960 --> 00:23:34,600 Speaker 1: places including perhaps Mexico and Canada. And the net effect 406 00:23:34,760 --> 00:23:37,159 Speaker 1: very clearly is going to raise is to be raising 407 00:23:37,200 --> 00:23:39,640 Speaker 1: prices on the auto laws when Americans go to shop 408 00:23:39,680 --> 00:23:43,040 Speaker 1: for a new vehicle. What is the elasticity? Do we 409 00:23:43,080 --> 00:23:46,639 Speaker 1: have any history of understanding that if you raise the 410 00:23:46,720 --> 00:23:51,880 Speaker 1: price of an Audi Q five by five thousand seventy dollars, 411 00:23:52,320 --> 00:23:57,800 Speaker 1: what actually happens to unit dynamics? Well, we do know 412 00:23:57,960 --> 00:24:02,040 Speaker 1: that most of that extra tax absolutely passed through the consumers. 413 00:24:02,560 --> 00:24:04,919 Speaker 1: There will be some consumers who drop out of the 414 00:24:04,960 --> 00:24:08,760 Speaker 1: market or fall to a lower priced vehicle. On that 415 00:24:08,800 --> 00:24:11,960 Speaker 1: we don't know exactly how many. However, we do have 416 00:24:12,240 --> 00:24:16,879 Speaker 1: estimates that up to two percent of the workforce in 417 00:24:16,920 --> 00:24:20,440 Speaker 1: the auto industry UH could find themselves without jobs as 418 00:24:20,440 --> 00:24:24,480 Speaker 1: a result of lower sales. So these taxes are high 419 00:24:24,600 --> 00:24:27,159 Speaker 1: and they will have an impact on consumers and on 420 00:24:27,200 --> 00:24:30,000 Speaker 1: the industry. Mary, I don't know whether you would characterize 421 00:24:30,000 --> 00:24:32,200 Speaker 1: where we are currently as a trade war, but when 422 00:24:32,200 --> 00:24:35,560 Speaker 1: people do, they're looking almost exclusively at it through tariffs, 423 00:24:35,560 --> 00:24:38,080 Speaker 1: and to some extent, we could be quite close to 424 00:24:38,119 --> 00:24:40,800 Speaker 1: exhausting that policy Leaver at the moment, because the United 425 00:24:40,840 --> 00:24:42,879 Speaker 1: States has made it quite clear they are ready to 426 00:24:42,880 --> 00:24:45,800 Speaker 1: put tariffs on every single import that comes from China 427 00:24:45,960 --> 00:24:48,480 Speaker 1: into the United States. The Chinese can't play tippit tad 428 00:24:48,520 --> 00:24:50,840 Speaker 1: on tariffs. They don't have enough imports coming from the 429 00:24:50,880 --> 00:24:53,359 Speaker 1: US into China. So I'm just trying to wander what 430 00:24:53,440 --> 00:24:55,679 Speaker 1: other sphere will this take place in? How will this 431 00:24:55,760 --> 00:25:00,320 Speaker 1: play out outside of just tariffs? Okay, we have a 432 00:25:00,320 --> 00:25:03,560 Speaker 1: lot of rooms still to play this out. Don't forget. 433 00:25:03,680 --> 00:25:07,800 Speaker 1: The tariffs have not been fully nearly fully implemented yet. 434 00:25:07,800 --> 00:25:11,320 Speaker 1: We just had the first trunch of the first round. Uh. 435 00:25:11,400 --> 00:25:14,320 Speaker 1: Today we're having hearings on the second trunch, or about 436 00:25:14,320 --> 00:25:17,639 Speaker 1: sixteen billion dollars worth of trade would be subject to 437 00:25:17,680 --> 00:25:21,040 Speaker 1: new tariffs. When President Trump said he will go the 438 00:25:21,160 --> 00:25:24,760 Speaker 1: full five and five billion, that's still a lot of 439 00:25:24,800 --> 00:25:27,320 Speaker 1: pain to be felt. So we've got a long way 440 00:25:27,359 --> 00:25:30,920 Speaker 1: to go on the tariffs and how Americans feel about 441 00:25:30,960 --> 00:25:35,359 Speaker 1: those tariffs. China does have other ways to retaliate, including 442 00:25:35,880 --> 00:25:40,080 Speaker 1: slowing down delivery of our goods. Uh. Don't forget we 443 00:25:40,119 --> 00:25:44,879 Speaker 1: have companies based in China that sell three hundred billion 444 00:25:44,960 --> 00:25:49,480 Speaker 1: dollars worth of goods too in services to the Chinese economy. 445 00:25:50,000 --> 00:25:53,760 Speaker 1: My own view, however, is that China will not retaliate 446 00:25:53,880 --> 00:25:58,240 Speaker 1: in those ways. For a very simple reason. China very 447 00:25:58,359 --> 00:26:03,600 Speaker 1: much benefits from and values its position in global value chains. 448 00:26:04,160 --> 00:26:07,639 Speaker 1: It needs new investment. Contrary to popular belief, it is 449 00:26:07,680 --> 00:26:12,359 Speaker 1: not an innovative powerhouse. Yet it still lags most of 450 00:26:12,400 --> 00:26:15,800 Speaker 1: the world developed world in terms of its innovative capacity. 451 00:26:16,200 --> 00:26:19,320 Speaker 1: It needs foreign investment. It's not going to shoot itself 452 00:26:19,359 --> 00:26:24,120 Speaker 1: in the foot by making itself inhospitable to foreign investors. 453 00:26:24,160 --> 00:26:26,560 Speaker 1: So to some extent, some people might argue the US 454 00:26:26,600 --> 00:26:29,840 Speaker 1: has the upper hand um with the sort of tension 455 00:26:29,880 --> 00:26:31,639 Speaker 1: with the Chinese at the moment, Does the United States 456 00:26:31,680 --> 00:26:35,760 Speaker 1: have the upper hand with the Europeans tomorrow? No. I 457 00:26:35,800 --> 00:26:38,480 Speaker 1: think in general the idea that the US has the 458 00:26:38,560 --> 00:26:41,399 Speaker 1: upper hand is mistaken, and it's based on the views 459 00:26:41,480 --> 00:26:43,840 Speaker 1: the US is such a large importer that we can 460 00:26:43,880 --> 00:26:47,199 Speaker 1: affect other countries in a negative way. Clearly we can 461 00:26:47,280 --> 00:26:49,880 Speaker 1: affect under other countries in a negative way, and we are. 462 00:26:50,520 --> 00:26:53,960 Speaker 1: But don't forget it's us against the whole world that 463 00:26:54,000 --> 00:26:58,040 Speaker 1: makes us a lot smaller. UH. Let's in the case 464 00:26:58,119 --> 00:27:02,280 Speaker 1: of Europe or China, countries have ways to go around 465 00:27:02,359 --> 00:27:06,199 Speaker 1: what we're doing. We've already seen some US companies UH 466 00:27:06,320 --> 00:27:09,840 Speaker 1: saying that they will move operations overseas to avoid these tariffs, 467 00:27:09,840 --> 00:27:12,119 Speaker 1: because once you're free of US soil, you don't have 468 00:27:12,200 --> 00:27:16,280 Speaker 1: to pay the taxport well, so it really gives an 469 00:27:16,280 --> 00:27:20,320 Speaker 1: incentive for companies to work around them. Okay, some Mercedes 470 00:27:20,359 --> 00:27:23,000 Speaker 1: has a sprinter van. It's like a cargo van, folks, 471 00:27:23,600 --> 00:27:25,919 Speaker 1: and it's made inducel door for except they tear it 472 00:27:26,000 --> 00:27:29,240 Speaker 1: apart and take it over to Land and South Carolina 473 00:27:29,800 --> 00:27:34,359 Speaker 1: to reassemble it to get around all this malarkey. Right, Well, 474 00:27:34,440 --> 00:27:36,960 Speaker 1: there are lots of things like that that happen, and 475 00:27:37,000 --> 00:27:40,359 Speaker 1: it's due to all these tariffs that that change the 476 00:27:40,359 --> 00:27:45,320 Speaker 1: way firms uh produce. None of them are productivity enhancing, 477 00:27:45,359 --> 00:27:49,440 Speaker 1: They all are efficiency reducing. So the fact that that's 478 00:27:49,480 --> 00:27:52,800 Speaker 1: already happening is an example of basically an inefficient type 479 00:27:52,840 --> 00:27:55,600 Speaker 1: of production taking something down. We're just going to see 480 00:27:55,600 --> 00:27:57,800 Speaker 1: a whole lot more of it with these tariffs. Okay, 481 00:27:57,840 --> 00:28:00,680 Speaker 1: with these tariffs these I hate that we're terrorist, folks, 482 00:28:00,680 --> 00:28:05,040 Speaker 1: it's tax With these taxes, are we going to see 483 00:28:05,119 --> 00:28:07,879 Speaker 1: something like be careful what you wish for and that 484 00:28:08,000 --> 00:28:10,800 Speaker 1: we're going to get the first order condition, but the 485 00:28:10,840 --> 00:28:15,240 Speaker 1: second or third order conditions are going to kill us. Yes, 486 00:28:15,720 --> 00:28:18,320 Speaker 1: This is going to hurt, and we're already seeing it 487 00:28:18,440 --> 00:28:22,960 Speaker 1: hurting in farm country because many of our trading partners 488 00:28:23,040 --> 00:28:26,440 Speaker 1: understand that that is a place of a pressure point 489 00:28:26,480 --> 00:28:35,600 Speaker 1: for the US. We've seen tariffs already on beef, cereal, sorgum, soybeans, fish, Christians. Yeah, 490 00:28:35,640 --> 00:28:37,760 Speaker 1: these are gonna hurt, and they're going to hurt very 491 00:28:37,800 --> 00:28:40,920 Speaker 1: targeted parts of America and very lovely. Thank you so much, 492 00:28:40,960 --> 00:28:44,320 Speaker 1: greatly appreciate it with Syracuse University, you know, so with Peterson. 493 00:28:51,680 --> 00:28:55,880 Speaker 1: Thanks for listening to the Bloomberg Surveillance podcast. Subscribe and 494 00:28:55,960 --> 00:29:01,280 Speaker 1: listen to interviews on Apple Podcasts, SoundCloud, or whichever podcast 495 00:29:01,320 --> 00:29:05,560 Speaker 1: platform you prefer. I'm on Twitter at Tom Keane before 496 00:29:05,600 --> 00:29:09,800 Speaker 1: the podcast. You can always catch us worldwide. I'm Bloomberg Radio.