1 00:00:00,080 --> 00:00:12,960 Speaker 1: Yeah, Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene 2 00:00:13,480 --> 00:00:17,560 Speaker 1: Jay Lee. We bring you insight from the best in economics, finance, investment, 3 00:00:18,000 --> 00:00:23,520 Speaker 1: and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud, 4 00:00:23,600 --> 00:00:32,440 Speaker 1: Bloomberg dot Com and of course on the Bloomberg. Let's 5 00:00:32,440 --> 00:00:35,440 Speaker 1: bringing Lisa Shallott shall We Morgan Stanley Wealth Management, Chief 6 00:00:35,479 --> 00:00:38,760 Speaker 1: investment Officer. Great to see Elsa at this valuation at 7 00:00:38,760 --> 00:00:40,680 Speaker 1: a round eight billion. I believe this tops out the 8 00:00:40,760 --> 00:00:43,360 Speaker 1: last funding round for Uber and the funding rounds in 9 00:00:43,360 --> 00:00:45,920 Speaker 1: private markets for many of these companies have been absolutely 10 00:00:46,000 --> 00:00:48,760 Speaker 1: fantastic for the companies and it's where a lot of 11 00:00:48,760 --> 00:00:50,640 Speaker 1: the growth has been as well. Just how much has 12 00:00:50,720 --> 00:00:53,680 Speaker 1: changed in the last couple of decades. Oh, look, I 13 00:00:53,720 --> 00:00:56,480 Speaker 1: think everything has changed and and a lot of it 14 00:00:56,520 --> 00:00:59,720 Speaker 1: has to do with how much dry powder sits in 15 00:00:59,760 --> 00:01:04,160 Speaker 1: the private markets, um, and the allure of going public 16 00:01:04,400 --> 00:01:06,959 Speaker 1: is not what it used to be. And so you know, 17 00:01:07,080 --> 00:01:09,600 Speaker 1: once upon a time in in the in the early 18 00:01:09,680 --> 00:01:13,640 Speaker 1: nineties leading up to you had companies that you know, 19 00:01:13,760 --> 00:01:17,120 Speaker 1: wanted to access capital through the public markets, you know, 20 00:01:17,240 --> 00:01:20,680 Speaker 1: literally a year or two years into their existence. Now 21 00:01:20,720 --> 00:01:22,960 Speaker 1: we're looking at companies you know that are waiting at 22 00:01:23,000 --> 00:01:26,560 Speaker 1: least a decade uh to go public, and there's many 23 00:01:26,600 --> 00:01:29,840 Speaker 1: other ways for them to fund uh those early rounds. 24 00:01:29,840 --> 00:01:33,840 Speaker 1: And it's a sheer uh function of of how developed 25 00:01:34,400 --> 00:01:37,080 Speaker 1: private uh fundraising is. So at least it was that 26 00:01:37,120 --> 00:01:39,600 Speaker 1: a good thing. Is that a healthy prospect for public markets? 27 00:01:39,600 --> 00:01:41,240 Speaker 1: The fact we've got a little bit more history that 28 00:01:41,319 --> 00:01:44,200 Speaker 1: these companies on as young and so look, that's a 29 00:01:44,200 --> 00:01:47,520 Speaker 1: fantastic positioning. On the one hand, you know, certainly we 30 00:01:47,600 --> 00:01:51,640 Speaker 1: have a lot more historical financial data to look at 31 00:01:51,680 --> 00:01:54,760 Speaker 1: in these s ones in many cases. But look, I 32 00:01:54,800 --> 00:01:58,520 Speaker 1: think it it has hurt um in many cases some 33 00:01:58,600 --> 00:02:02,000 Speaker 1: of these companies because the the public markets are very, very, 34 00:02:02,120 --> 00:02:06,160 Speaker 1: very disciplining, uh and uh it's going to be interesting 35 00:02:06,200 --> 00:02:10,880 Speaker 1: to see how this new round of unicorns actually discipline 36 00:02:11,120 --> 00:02:14,119 Speaker 1: lack of discipline tem perhaps a story of UBA over 37 00:02:14,120 --> 00:02:18,000 Speaker 1: the last several years under previous management. Yeah. I mean, 38 00:02:18,480 --> 00:02:21,360 Speaker 1: there's a PayPal announcement, the stub deal with PayPal, which 39 00:02:21,400 --> 00:02:24,360 Speaker 1: is interesting in itself, But Lisa, let's talk about a 40 00:02:24,360 --> 00:02:27,520 Speaker 1: broader thing. You said something earlier that is profound that 41 00:02:27,600 --> 00:02:32,320 Speaker 1: with the caution of Morgan Stanley, you have a caution 42 00:02:32,760 --> 00:02:37,079 Speaker 1: on technology that bears discussion color that for us when 43 00:02:37,080 --> 00:02:41,160 Speaker 1: you speak with Michael Wilson and the rest of your team. Yeah. So, look, 44 00:02:41,240 --> 00:02:44,480 Speaker 1: as we start to look at the valuations, UM, there 45 00:02:44,520 --> 00:02:46,720 Speaker 1: are a set of things that we're looking at. We're 46 00:02:46,720 --> 00:02:50,720 Speaker 1: looking at, uh, you know, the sector relative to all 47 00:02:50,760 --> 00:02:53,800 Speaker 1: other sectors. Were looking at the dispersion between growth stocks 48 00:02:53,840 --> 00:02:58,839 Speaker 1: and value style stocks. That looks very to us. We're 49 00:02:58,880 --> 00:03:03,559 Speaker 1: looking at how concentrated Uh. You know, some of the 50 00:03:03,639 --> 00:03:07,280 Speaker 1: gains are starting to be uh in these um you know, 51 00:03:07,639 --> 00:03:11,840 Speaker 1: uh supposedly unassailable business models, but as we know, uh, 52 00:03:12,120 --> 00:03:13,959 Speaker 1: no business models in a in a capital of the 53 00:03:14,080 --> 00:03:17,080 Speaker 1: world are ever unassailable. I mean, John, that's a key phrase. 54 00:03:17,240 --> 00:03:20,399 Speaker 1: Uber is unassailable business model, which is how you get 55 00:03:20,440 --> 00:03:22,519 Speaker 1: to the valuation you're talking about. Did you see the 56 00:03:22,520 --> 00:03:25,560 Speaker 1: front page of the Economists last week? It was fantastic, 57 00:03:25,680 --> 00:03:27,440 Speaker 1: It was It was a group of ponies, call them 58 00:03:27,440 --> 00:03:32,040 Speaker 1: donkeys with plastic horns attached to their heads, referring to 59 00:03:32,080 --> 00:03:34,680 Speaker 1: some of these unicorns that were coming to market. How 60 00:03:34,680 --> 00:03:38,680 Speaker 1: many of them are just donkeys dressed up as unicorns, Lisa, 61 00:03:38,840 --> 00:03:41,240 Speaker 1: because they're really not as rare anymore, This concept of 62 00:03:41,360 --> 00:03:44,000 Speaker 1: unicorn with a market cap of a billion. I mean 63 00:03:44,040 --> 00:03:46,560 Speaker 1: that is nothing these days, is it? That's correct? It 64 00:03:47,360 --> 00:03:50,200 Speaker 1: is nothing. And again that's another one of these things 65 00:03:50,200 --> 00:03:54,440 Speaker 1: that begins to smack of where everyone you know, uh 66 00:03:54,640 --> 00:03:57,760 Speaker 1: tries to put a label on themselves when uh, you know, 67 00:03:57,800 --> 00:04:00,640 Speaker 1: they're not very special and we all know they're likely 68 00:04:00,680 --> 00:04:03,440 Speaker 1: not going to be here. Um, you know ten twenty 69 00:04:03,520 --> 00:04:06,600 Speaker 1: years from now, can I make a non technical statement 70 00:04:06,840 --> 00:04:09,800 Speaker 1: that thirty nine days in lift is yet to find 71 00:04:09,840 --> 00:04:13,480 Speaker 1: a bid. It's sitting on support college. You know, it's 72 00:04:13,520 --> 00:04:16,920 Speaker 1: an editorialization with a fifty six point three four. I 73 00:04:16,960 --> 00:04:22,640 Speaker 1: don't it's been it's so at least let's talk about that. 74 00:04:22,720 --> 00:04:25,119 Speaker 1: You can have a big name come to market looks 75 00:04:25,200 --> 00:04:27,560 Speaker 1: like they're trying to get in first. Is that to 76 00:04:27,640 --> 00:04:30,839 Speaker 1: the advantage or disadvantage of the person that comes next 77 00:04:31,320 --> 00:04:33,800 Speaker 1: if that company isn't performing well in public markets in 78 00:04:33,800 --> 00:04:37,080 Speaker 1: the first couple of weeks. Yeah, look so certainly. Uh 79 00:04:37,279 --> 00:04:39,760 Speaker 1: you know, the way we've seen the performance of some 80 00:04:39,839 --> 00:04:43,480 Speaker 1: of these stocks, uh, you know presents challenges, right because 81 00:04:43,480 --> 00:04:48,560 Speaker 1: it raises questions for prospective investors. Um, they're wondering, Um, 82 00:04:48,600 --> 00:04:51,320 Speaker 1: you know, hey, is this the last bid? Am I 83 00:04:51,360 --> 00:04:53,800 Speaker 1: the last guy in. Um, So there's all these kinds 84 00:04:53,800 --> 00:04:55,800 Speaker 1: of questions that always get asked. But look, you know, 85 00:04:55,880 --> 00:04:58,680 Speaker 1: these things settle out, and I'm sure the right sharing 86 00:04:59,160 --> 00:05:01,280 Speaker 1: once will too. Leasa. One thing I've heard a lot 87 00:05:01,360 --> 00:05:03,840 Speaker 1: over the last couple of years, it's just secular growth stories. 88 00:05:03,880 --> 00:05:06,400 Speaker 1: We want exposure to the secular growth stories. The truth 89 00:05:06,480 --> 00:05:08,280 Speaker 1: is that some of these companies haven't been around long 90 00:05:08,360 --> 00:05:11,640 Speaker 1: enough to really understand the cyclicality of them as well. 91 00:05:11,680 --> 00:05:13,839 Speaker 1: Do you worry about that argument to buy a stock 92 00:05:13,880 --> 00:05:16,440 Speaker 1: as a secular growth story when it's never really had 93 00:05:16,440 --> 00:05:20,600 Speaker 1: a cyclical test. Absolutely, and I would go further. Um. 94 00:05:20,640 --> 00:05:23,160 Speaker 1: You know, one of the things that has made us 95 00:05:23,600 --> 00:05:27,400 Speaker 1: cautious is that the last decade has been a magical, 96 00:05:27,480 --> 00:05:32,760 Speaker 1: magical time for companies who want to be growth orient 97 00:05:32,800 --> 00:05:35,520 Speaker 1: and want to raise capital on That is because the 98 00:05:35,600 --> 00:05:39,200 Speaker 1: cost of capital has been so low. Uh. And the 99 00:05:39,240 --> 00:05:43,520 Speaker 1: FED has basically had everybody's back for a decade. UH. 100 00:05:43,560 --> 00:05:45,840 Speaker 1: And you know what we always say is, look, at 101 00:05:45,880 --> 00:05:48,920 Speaker 1: the end of the day, return on capital does matter. Um, 102 00:05:48,960 --> 00:05:50,960 Speaker 1: are you really going to be profitable in a world 103 00:05:51,560 --> 00:05:54,000 Speaker 1: where the cost of capital looks more like four or 104 00:05:54,000 --> 00:05:57,559 Speaker 1: five six than two? And now, for Global Wall Street, 105 00:05:57,600 --> 00:06:00,719 Speaker 1: your clinic of the day on the income's statement. And 106 00:06:00,760 --> 00:06:04,000 Speaker 1: this goes with the gentle lady from Brown University who 107 00:06:04,040 --> 00:06:07,680 Speaker 1: did better than go to dynamics and mathematics and economics. 108 00:06:08,000 --> 00:06:12,200 Speaker 1: The conflation of variable and fixed costs. To me, literally 109 00:06:12,240 --> 00:06:14,880 Speaker 1: I could write a book on it. It's that important. 110 00:06:15,040 --> 00:06:19,200 Speaker 1: In the mistakes I've made over the years. Discuss in 111 00:06:19,400 --> 00:06:24,640 Speaker 1: technology in the Unicorn is MS, John's talking about how 112 00:06:24,839 --> 00:06:29,920 Speaker 1: variable costs all of a sudden become fixed costs. Yeah, so, Tom, 113 00:06:30,000 --> 00:06:32,320 Speaker 1: you know, I think that this is the conundrum for 114 00:06:32,440 --> 00:06:36,120 Speaker 1: most analysts in the current environment. UH. The question is 115 00:06:36,160 --> 00:06:38,960 Speaker 1: if you have sat you or you believe that you've 116 00:06:39,000 --> 00:06:41,599 Speaker 1: got a concept that has a unique platform, if you 117 00:06:41,640 --> 00:06:44,599 Speaker 1: will very nice um. Uh, you know, the the key 118 00:06:44,720 --> 00:06:48,280 Speaker 1: question is, UM, what is really the cost of acquiring 119 00:06:48,360 --> 00:06:52,240 Speaker 1: a new subscriber, a new user, a new UH participant, 120 00:06:52,240 --> 00:06:54,200 Speaker 1: a new view or whatever you want to call them. 121 00:06:54,880 --> 00:06:57,560 Speaker 1: What is the marginal cost of that UM and at 122 00:06:57,600 --> 00:07:01,040 Speaker 1: what point do you actually make money. I think one 123 00:07:01,040 --> 00:07:03,000 Speaker 1: of the things that we've seen is for a lot 124 00:07:03,080 --> 00:07:07,000 Speaker 1: of these UH platforms, the cost to continue to grow 125 00:07:07,040 --> 00:07:11,320 Speaker 1: the platform and the cost of acquisition of a new user, subscriber, whatever, 126 00:07:11,920 --> 00:07:15,640 Speaker 1: UM is still actually not quote unquote scaling. So what 127 00:07:15,680 --> 00:07:17,520 Speaker 1: you really want to understand is what are the true 128 00:07:17,600 --> 00:07:20,880 Speaker 1: fixed cost and what is that inflection point at which 129 00:07:20,920 --> 00:07:24,160 Speaker 1: you start to scale and actually drop incremental profit to 130 00:07:24,280 --> 00:07:26,280 Speaker 1: So she put the dreaded s word in their scale 131 00:07:26,320 --> 00:07:30,000 Speaker 1: as well. She can leave that, Lisa Shell, thank you, 132 00:07:30,080 --> 00:07:32,200 Speaker 1: thank you, thank you, thank you so much. With Morgan 133 00:07:32,240 --> 00:07:51,520 Speaker 1: Stanley Wealth Manager, we've got George boy with us who 134 00:07:51,520 --> 00:07:54,840 Speaker 1: can advance discussion right now in the nominal and the 135 00:07:54,920 --> 00:07:56,880 Speaker 1: really hate you in just from wild Falca, the head 136 00:07:56,880 --> 00:07:59,480 Speaker 1: of fixed income reseays, George, good morning to you morning. 137 00:07:59,560 --> 00:08:02,360 Speaker 1: It has been such an interesting way where we've had 138 00:08:02,520 --> 00:08:06,520 Speaker 1: both dollar strength and yet we've also simultaneously had a 139 00:08:06,520 --> 00:08:08,480 Speaker 1: two year treasury that has rallied a yield that has 140 00:08:08,520 --> 00:08:11,360 Speaker 1: gone lower. So I'm trying to understand the dynamic that 141 00:08:11,400 --> 00:08:13,440 Speaker 1: takes the two year yield lower one and then to 142 00:08:13,880 --> 00:08:15,280 Speaker 1: how we end up with a wake of Donna in 143 00:08:15,280 --> 00:08:18,160 Speaker 1: that environment. Now there's a real there's a real conundrum 144 00:08:18,160 --> 00:08:20,440 Speaker 1: in the bond market, and you know it's it's a 145 00:08:20,480 --> 00:08:22,600 Speaker 1: strang it's a it's a challenge. It's because kind of 146 00:08:22,640 --> 00:08:24,640 Speaker 1: perfectly square it all up. I mean, I think there's 147 00:08:24,680 --> 00:08:27,720 Speaker 1: some diverging trends here that are that are really important, 148 00:08:27,760 --> 00:08:29,400 Speaker 1: and you know, the sort of the front end of 149 00:08:29,400 --> 00:08:31,840 Speaker 1: the curve, you know, first off, at the very front 150 00:08:31,880 --> 00:08:34,200 Speaker 1: end has has a rate cut still priced into it, 151 00:08:34,240 --> 00:08:36,080 Speaker 1: and I think the two year it kind of gets 152 00:08:36,120 --> 00:08:38,960 Speaker 1: pulled down by those expectations, which the market is not 153 00:08:39,080 --> 00:08:41,400 Speaker 1: willing to kind of give up on UM. But at 154 00:08:41,440 --> 00:08:44,920 Speaker 1: the same time, uh, you know, sort of the data 155 00:08:45,120 --> 00:08:49,199 Speaker 1: is starting to look look reasonably um, you know, look 156 00:08:49,320 --> 00:08:53,280 Speaker 1: looking reasonably healthy. Today's UM you know GDP report is 157 00:08:53,320 --> 00:08:56,160 Speaker 1: expected to be roughly at around a little under two 158 00:08:56,160 --> 00:08:57,840 Speaker 1: and a half percent, I think is we're the two 159 00:08:57,920 --> 00:09:02,040 Speaker 1: point three yea and and so you know, and you 160 00:09:02,080 --> 00:09:04,840 Speaker 1: have you know, inflation at just under two So there's 161 00:09:04,880 --> 00:09:07,240 Speaker 1: a very big difference when you have you know, kind 162 00:09:07,240 --> 00:09:09,760 Speaker 1: of nominal growth in the let's call it, you know, 163 00:09:10,280 --> 00:09:14,360 Speaker 1: just over four percent, uh, and you have nominal yields 164 00:09:14,400 --> 00:09:18,280 Speaker 1: at two point five percent. That's there's a big divergence there, 165 00:09:18,520 --> 00:09:20,640 Speaker 1: and I think the bond market, you know, kind of 166 00:09:20,640 --> 00:09:24,000 Speaker 1: needs to reconcile it. The main anchor, like what keeps 167 00:09:24,080 --> 00:09:26,400 Speaker 1: us there is simply the Fed. You know, the Fed 168 00:09:26,640 --> 00:09:30,000 Speaker 1: not only when devish but also talked about reducing or 169 00:09:30,160 --> 00:09:33,520 Speaker 1: or terminating or completing I should say, uh, their bond 170 00:09:33,880 --> 00:09:36,280 Speaker 1: you know, sort of the shrinkage of the balance sheet. 171 00:09:36,679 --> 00:09:38,840 Speaker 1: And and and on top of that, you know, other 172 00:09:38,880 --> 00:09:42,160 Speaker 1: governments around the world are very actively involved in managing 173 00:09:42,200 --> 00:09:45,320 Speaker 1: their own bond market and bond supply. So there's a 174 00:09:45,400 --> 00:09:48,240 Speaker 1: there's a lot of tension in the technicals, which which 175 00:09:48,240 --> 00:09:50,080 Speaker 1: really weighs on the market. What we're talking about the 176 00:09:50,080 --> 00:09:52,280 Speaker 1: nominal yield, Let's talk about the real yield the price 177 00:09:52,280 --> 00:09:55,880 Speaker 1: of inflation. So inflation running in and around percent in America, 178 00:09:56,000 --> 00:09:58,560 Speaker 1: we have real yields in America. So I just wanted 179 00:09:58,600 --> 00:10:00,920 Speaker 1: to what degree the far of money now looks at 180 00:10:00,960 --> 00:10:03,920 Speaker 1: the American situation, the adjustment and normal yields, and says, 181 00:10:03,960 --> 00:10:06,080 Speaker 1: you know what, on a hedge basis, I'm not getting 182 00:10:06,120 --> 00:10:07,880 Speaker 1: the bank for my buck that I used to. I 183 00:10:07,920 --> 00:10:09,600 Speaker 1: need to come in nake it. So now we get 184 00:10:09,640 --> 00:10:12,760 Speaker 1: this move in treasuries where you get yields law but 185 00:10:12,800 --> 00:10:15,000 Speaker 1: also get a stronger dollar because of the flow dynamic. 186 00:10:15,120 --> 00:10:16,880 Speaker 1: Is that a story here? That is a that is 187 00:10:16,920 --> 00:10:20,160 Speaker 1: a very significant story. I think the search for real 188 00:10:20,280 --> 00:10:23,240 Speaker 1: yield is a global story. And you know, we look 189 00:10:23,280 --> 00:10:25,319 Speaker 1: at our own flows. We see our own data, both 190 00:10:25,480 --> 00:10:27,840 Speaker 1: you know, kind of the proprietary data as well as 191 00:10:27,920 --> 00:10:30,160 Speaker 1: kind of the data you can measure within the market. 192 00:10:30,600 --> 00:10:33,480 Speaker 1: And and it shows that that non US investors are 193 00:10:33,480 --> 00:10:36,280 Speaker 1: flooding into the US the reach for yield. It's a 194 00:10:36,280 --> 00:10:40,160 Speaker 1: global phenomena, and and that puts powerful downward pressure on 195 00:10:40,160 --> 00:10:42,319 Speaker 1: on U s shields, and it pushes the dollar up. 196 00:10:42,520 --> 00:10:45,080 Speaker 1: And we see we see you know, sort of your 197 00:10:45,160 --> 00:10:48,560 Speaker 1: average investor in Europe or are in Asia, maybe Japan 198 00:10:49,000 --> 00:10:51,839 Speaker 1: or buying dollars on an unhedged basis. That's a major 199 00:10:51,880 --> 00:10:54,760 Speaker 1: shift in behavior over the last six months. So let's 200 00:10:54,760 --> 00:10:57,640 Speaker 1: squeeze in here the X axis as well. With part 201 00:10:57,720 --> 00:11:00,319 Speaker 1: of this enthusiasm, are we by Nick, you're going to 202 00:11:00,480 --> 00:11:04,800 Speaker 1: increase duration and maturity? Is our time vision of those 203 00:11:04,880 --> 00:11:07,600 Speaker 1: yields gonna get longer and longer. I think there are 204 00:11:07,600 --> 00:11:10,319 Speaker 1: different buyers in the market. For the overseas buyer who's 205 00:11:10,360 --> 00:11:12,920 Speaker 1: coming into the US just trying to grab yield, I 206 00:11:12,960 --> 00:11:15,400 Speaker 1: think there's a desire to stay as short on the 207 00:11:15,440 --> 00:11:18,959 Speaker 1: yield curve as you possibly can. So those investors are 208 00:11:18,960 --> 00:11:22,439 Speaker 1: not natural buyers of thirty year or long duration bonds. 209 00:11:22,800 --> 00:11:25,280 Speaker 1: And so maybe that front end rally in the two years, 210 00:11:25,320 --> 00:11:28,360 Speaker 1: just simply Overseas money coming into the US reaching out 211 00:11:28,360 --> 00:11:30,280 Speaker 1: to the two year point of the curve and being 212 00:11:30,320 --> 00:11:33,760 Speaker 1: happy to kind of sit there, whereas a domestic US 213 00:11:33,840 --> 00:11:37,439 Speaker 1: investor has to really think about kind of the duration profile, 214 00:11:37,640 --> 00:11:40,360 Speaker 1: how that matches up against their liabilities, and what is 215 00:11:40,360 --> 00:11:43,760 Speaker 1: the total nominal yield combined with the liabilities they're actually 216 00:11:43,800 --> 00:11:46,960 Speaker 1: investing against. You know that all these things kind of 217 00:11:46,960 --> 00:11:49,800 Speaker 1: converge and and it's it's about the relative change or 218 00:11:49,800 --> 00:11:52,880 Speaker 1: the relative difference in demand between each of these buyers. 219 00:11:53,080 --> 00:11:56,040 Speaker 1: The most decent uptick are the foreign buyers coming back 220 00:11:56,040 --> 00:12:00,959 Speaker 1: into the US. They've been largely made where mistakes amite 221 00:12:00,960 --> 00:12:03,320 Speaker 1: when you try and take signal from the Treasury curve. 222 00:12:03,760 --> 00:12:06,240 Speaker 1: But actually the dynamic that is driving the signal is 223 00:12:06,520 --> 00:12:09,000 Speaker 1: is not what you think. It looks like a bull 224 00:12:09,040 --> 00:12:11,360 Speaker 1: state now. It looks like it is a story of 225 00:12:11,440 --> 00:12:13,840 Speaker 1: right cuts around the count of the something else that George, 226 00:12:13,960 --> 00:12:18,160 Speaker 1: I'm a big believer in the signal. The drivers of 227 00:12:18,200 --> 00:12:20,400 Speaker 1: the signal can do very much be debated, But when 228 00:12:20,400 --> 00:12:24,000 Speaker 1: a curve steepens, it changes investor behavior. The knock on 229 00:12:24,120 --> 00:12:26,920 Speaker 1: consequence of a steep curve or a flat curve is 230 00:12:27,000 --> 00:12:31,440 Speaker 1: very material when when yield curve steeping, that encourages risk 231 00:12:31,559 --> 00:12:34,920 Speaker 1: seeking for the most part, and when they're flattening it, 232 00:12:34,440 --> 00:12:39,440 Speaker 1: it inhibits that because a typical bond investor, you know, 233 00:12:39,559 --> 00:12:42,880 Speaker 1: wants as much kind of carry and roll down typical 234 00:12:43,000 --> 00:12:45,840 Speaker 1: drivers of return. I'm getting off piece here a little, 235 00:12:45,920 --> 00:12:49,520 Speaker 1: but those are the main drivers for a fixed in convestor. George, 236 00:13:04,320 --> 00:13:06,760 Speaker 1: We've got a wonderful guest here to really give serious 237 00:13:06,800 --> 00:13:11,280 Speaker 1: perspective on technology in the two thousand nineteen. But first, John, 238 00:13:11,360 --> 00:13:15,199 Speaker 1: you know the male uber, No Amazon, no, the two 239 00:13:15,320 --> 00:13:21,640 Speaker 1: year yield, no AJAX, the mail, the mails happy, Okay, 240 00:13:21,960 --> 00:13:25,920 Speaker 1: you clean your sink. I know that's why Bank for 241 00:13:25,920 --> 00:13:29,320 Speaker 1: America writes in on Twitter. Ajax. Now I've heard it 242 00:13:29,360 --> 00:13:34,400 Speaker 1: all from Tom Kane. It's i AX. The football team 243 00:13:34,400 --> 00:13:41,640 Speaker 1: of Amsterdam can. Yeah, but it's Bay or Buyer. That's 244 00:13:41,679 --> 00:13:43,240 Speaker 1: not one of those things. It's not one of those 245 00:13:43,240 --> 00:13:46,920 Speaker 1: things that just it's not one of those things. Thank 246 00:13:46,960 --> 00:13:50,360 Speaker 1: you for listening to mato tomato situation. Okay, I'll give 247 00:13:50,360 --> 00:13:52,880 Speaker 1: you a tomato. Thank you over at Bank of America 248 00:13:53,000 --> 00:13:56,720 Speaker 1: and at five other places for your brutal your brutality 249 00:13:56,800 --> 00:14:00,480 Speaker 1: this morning. Alan Burbage is is really interesting and twisted 250 00:14:00,520 --> 00:14:03,120 Speaker 1: within the study of technology because she's not only looking 251 00:14:03,600 --> 00:14:06,760 Speaker 1: at a more tactical plan of a given company, but 252 00:14:06,880 --> 00:14:11,319 Speaker 1: also the underlying strategies within the process of technology and 253 00:14:11,360 --> 00:14:14,959 Speaker 1: also the financial of technology. She joins us down from 254 00:14:15,000 --> 00:14:18,080 Speaker 1: London and Passion Capital. Eileen, if you were to write 255 00:14:18,080 --> 00:14:22,480 Speaker 1: an essay right now on the new technology of all 256 00:14:22,520 --> 00:14:27,440 Speaker 1: these I p o s, what would be your single message? Wow, 257 00:14:27,520 --> 00:14:29,560 Speaker 1: you're always asking me great questions if you're not talking 258 00:14:29,600 --> 00:14:32,360 Speaker 1: about sports or cricket Tama. If I was going to write, 259 00:14:32,600 --> 00:14:34,600 Speaker 1: I think there's two inks to look at it. Firstly, 260 00:14:35,080 --> 00:14:37,280 Speaker 1: I would talk about some of these i os they're 261 00:14:37,280 --> 00:14:39,400 Speaker 1: coming out as we know, and direct MiSTings, right so 262 00:14:39,560 --> 00:14:42,640 Speaker 1: SAC has filed a direct listing at opposed to a 263 00:14:42,680 --> 00:14:45,360 Speaker 1: traditional I p O. But then I guess your other question, 264 00:14:45,480 --> 00:14:49,560 Speaker 1: or the real quest. Your question is what technology trends 265 00:14:49,600 --> 00:14:52,720 Speaker 1: are driving these companies in their growth? And I would 266 00:14:52,720 --> 00:14:55,120 Speaker 1: say the big essay answer on that one is cloud 267 00:14:55,160 --> 00:14:58,520 Speaker 1: based services. Yeah, well we saw that with the Amazon. 268 00:14:58,600 --> 00:15:01,400 Speaker 1: I mean there's an applic cation a cloud and a 269 00:15:01,560 --> 00:15:06,680 Speaker 1: victory for Microsoft. I believe a victory for Amazon Goldman, Sachs, Piper. 270 00:15:06,720 --> 00:15:10,080 Speaker 1: They raise their targets today, Morgan Stanley reduces their Amazon 271 00:15:10,160 --> 00:15:13,120 Speaker 1: target for Actually, but you're right about the cloud. Can 272 00:15:13,160 --> 00:15:17,960 Speaker 1: the cloud be extrapolated over to smaller players or is 273 00:15:18,000 --> 00:15:22,440 Speaker 1: the cloud the venue of the big people? I think 274 00:15:22,640 --> 00:15:24,440 Speaker 1: right now it's going to be the venue and the 275 00:15:24,440 --> 00:15:26,560 Speaker 1: theater for all the big players. So as you point 276 00:15:26,600 --> 00:15:31,200 Speaker 1: out Amazon, Microsoft, Google, Apple, they've all got big cloud beds. 277 00:15:31,520 --> 00:15:33,440 Speaker 1: But I think that you'll see with smaller players as 278 00:15:33,480 --> 00:15:36,720 Speaker 1: they can do sort of edge technologies or edge offerings 279 00:15:36,760 --> 00:15:40,120 Speaker 1: for the cloud, whether it's gonna be securely related, related, 280 00:15:40,400 --> 00:15:44,200 Speaker 1: identity managing, all other things. Eilan, You're always so prepared. 281 00:15:44,240 --> 00:15:47,320 Speaker 1: So I'm gonna throw your curveball on a Friday. Who 282 00:15:47,320 --> 00:15:54,200 Speaker 1: buys Twitter? And why do they buy Twitter? So anyone 283 00:15:54,200 --> 00:15:56,440 Speaker 1: who buy Twitter is going to be wanting to bet 284 00:15:56,440 --> 00:16:01,520 Speaker 1: on their ability to control abusive behavior, negative messaging to 285 00:16:01,600 --> 00:16:05,080 Speaker 1: appeal to advertisers, um and thinking that that company is 286 00:16:05,120 --> 00:16:08,720 Speaker 1: going to be able to increase its revenue over time. Uh, 287 00:16:08,880 --> 00:16:10,840 Speaker 1: that's a pretty long bet. It a pretty bag bet. 288 00:16:10,840 --> 00:16:12,280 Speaker 1: But as long as you have people like the President 289 00:16:12,280 --> 00:16:15,320 Speaker 1: of the United States continuing to do messaging on the platform, 290 00:16:15,560 --> 00:16:18,800 Speaker 1: maybe it's not so outlined. We've got some phone. It's 291 00:16:18,800 --> 00:16:20,560 Speaker 1: just we're gonna leave it there. Ailen Berberge, thank you 292 00:16:20,560 --> 00:16:22,200 Speaker 1: as always. I really look forward to speaking to you 293 00:16:22,200 --> 00:16:25,040 Speaker 1: again at Queen Victoria's. Didn't even get to SPA and 294 00:16:25,320 --> 00:16:26,720 Speaker 1: oh I'm sorry. Do you want to know what the 295 00:16:26,760 --> 00:16:28,960 Speaker 1: cheat guard is with Eilan? You don't ask about cricket, 296 00:16:28,960 --> 00:16:46,240 Speaker 1: you ask about arsenal? Oh really, right now we're gonna 297 00:16:46,280 --> 00:16:49,800 Speaker 1: get some expertise here. Megan Green with Manual Life is 298 00:16:49,840 --> 00:16:51,680 Speaker 1: with us right now. Megan, I don't want you to 299 00:16:51,720 --> 00:16:54,880 Speaker 1: go into the minutia of it. It's just grossly unfair. 300 00:16:55,280 --> 00:16:57,800 Speaker 1: It's a big, big number. But is it a one 301 00:16:57,840 --> 00:17:02,600 Speaker 1: off number? Yeah? So, um, I se the headlines great, 302 00:17:02,600 --> 00:17:04,840 Speaker 1: but if you look under the hood and tires a 303 00:17:04,840 --> 00:17:07,439 Speaker 1: little bit, this isn't such a positive story. And the 304 00:17:07,520 --> 00:17:10,840 Speaker 1: fact that inventories in trade boosted growth to most so 305 00:17:11,040 --> 00:17:14,680 Speaker 1: just that's not going to continue. So imports, um, we're 306 00:17:14,720 --> 00:17:17,359 Speaker 1: pulled forward last year to get ahead of the tariffs 307 00:17:17,720 --> 00:17:20,680 Speaker 1: on China, and so we expected them to be weaker 308 00:17:20,720 --> 00:17:22,480 Speaker 1: and they should continue to be weaker in a year 309 00:17:22,480 --> 00:17:26,480 Speaker 1: in your basis um throughout this year, so that'll keep 310 00:17:26,640 --> 00:17:29,240 Speaker 1: growth up a little bit, and then inventories. I think 311 00:17:29,240 --> 00:17:31,640 Speaker 1: we're a big contributor to this report, but of course 312 00:17:31,680 --> 00:17:34,520 Speaker 1: that just pulls demand forward as well. So as these 313 00:17:34,520 --> 00:17:37,560 Speaker 1: companies are stockpiling now over the rest of this year, 314 00:17:37,560 --> 00:17:39,320 Speaker 1: they're going to have to be stock and that will 315 00:17:39,320 --> 00:17:42,560 Speaker 1: be a drag on growth. You get some clarity on 316 00:17:42,600 --> 00:17:45,520 Speaker 1: what's going on in terms of investment because the durables 317 00:17:45,600 --> 00:17:49,640 Speaker 1: orders data X Defense next Air were terrible in January 318 00:17:49,640 --> 00:17:51,920 Speaker 1: and February, that then jumped in March, so there was 319 00:17:51,960 --> 00:17:54,400 Speaker 1: a question about what the real story was, and from 320 00:17:54,400 --> 00:17:57,240 Speaker 1: this report that actually was pretty weak. John there's multiple 321 00:17:57,359 --> 00:18:02,359 Speaker 1: columns here, but as uh Dr Green mentioned, exports and imports, 322 00:18:02,400 --> 00:18:08,600 Speaker 1: you've got nicely big export numbers and shockingly drop off 323 00:18:09,040 --> 00:18:14,040 Speaker 1: import numbers, which means big positive number minus a big 324 00:18:14,080 --> 00:18:17,080 Speaker 1: big minus number gives you a real wallet there. So 325 00:18:17,119 --> 00:18:19,520 Speaker 1: potentially someone off factors driving the number. And look at 326 00:18:19,520 --> 00:18:22,040 Speaker 1: how the market digests the story. So the headline number 327 00:18:22,080 --> 00:18:24,640 Speaker 1: gives you that knee jerk reaction Treasury, you will start 328 00:18:24,640 --> 00:18:27,120 Speaker 1: to move a little bit higher, that dollar strengthens. Then 329 00:18:27,119 --> 00:18:28,920 Speaker 1: you lift the lid of the GDP figure and you 330 00:18:29,000 --> 00:18:31,879 Speaker 1: see these potentially one off dynamic support and growth that 331 00:18:31,920 --> 00:18:34,080 Speaker 1: could fade as the quarters progress in the year grows 332 00:18:34,119 --> 00:18:36,800 Speaker 1: older and the market starts to remove just a little 333 00:18:36,840 --> 00:18:39,720 Speaker 1: bit of that optimism as the minutes passed by. But Megan, 334 00:18:39,760 --> 00:18:41,840 Speaker 1: we should reflect on the fact that this was a 335 00:18:41,920 --> 00:18:44,800 Speaker 1: quarter that some people thought would be the beginning of 336 00:18:44,840 --> 00:18:47,399 Speaker 1: a recession in the United States not too long ago. 337 00:18:47,800 --> 00:18:49,840 Speaker 1: It is better than was it what was expected only 338 00:18:49,880 --> 00:18:54,440 Speaker 1: several months ago, isn't it? Definitely? I mean January looks 339 00:18:54,480 --> 00:18:56,879 Speaker 1: pretty ugly, not just for the US, but offer for 340 00:18:57,000 --> 00:18:59,639 Speaker 1: China in Europe, and so there was a lot of 341 00:18:59,680 --> 00:19:01,200 Speaker 1: concern and that this would be the year that we 342 00:19:01,320 --> 00:19:04,080 Speaker 1: might go into recession. Since then, though, the data for 343 00:19:04,119 --> 00:19:06,840 Speaker 1: the US has improved, as has it for for China. 344 00:19:06,880 --> 00:19:09,800 Speaker 1: In particular, retail sales in the US started looking better 345 00:19:09,800 --> 00:19:12,119 Speaker 1: as a durable orders started looking better, which are a 346 00:19:12,119 --> 00:19:17,040 Speaker 1: good metric for UM for investment and so UM. Looking 347 00:19:17,080 --> 00:19:19,760 Speaker 1: at the Bloomberg consensus forecast, I've never seen such a 348 00:19:19,800 --> 00:19:23,040 Speaker 1: wide range as for this quarter, UM, but it does 349 00:19:23,080 --> 00:19:25,199 Speaker 1: seem like it. You know, this is really outperformed, and 350 00:19:25,200 --> 00:19:28,520 Speaker 1: I thought a recession was always pretty unlikely for this year. Megan, 351 00:19:28,560 --> 00:19:31,080 Speaker 1: I look at domestic final sales in the mix there, 352 00:19:31,119 --> 00:19:33,080 Speaker 1: there's four or five numbers there, folks, not to have 353 00:19:33,119 --> 00:19:35,800 Speaker 1: people drive off the road and they're you know, they're 354 00:19:35,880 --> 00:19:39,960 Speaker 1: just they're sort of tepid. And the nominal GDP comes 355 00:19:39,960 --> 00:19:43,119 Speaker 1: in from four point well, excuse me, from seven point 356 00:19:43,200 --> 00:19:47,359 Speaker 1: six to four point nine to four point one and 357 00:19:47,400 --> 00:19:50,760 Speaker 1: now a nominal GDP at three point eight that really 358 00:19:50,800 --> 00:19:54,160 Speaker 1: doesn't get things going. Can have FED raised rates into 359 00:19:54,160 --> 00:19:59,840 Speaker 1: a sub four percent nominal gdp? UM? Well, that's a 360 00:19:59,840 --> 00:20:02,240 Speaker 1: good question. I think real you know, real final sales 361 00:20:02,320 --> 00:20:05,159 Speaker 1: are a great UH indicator what's really going on in 362 00:20:05,240 --> 00:20:08,480 Speaker 1: terms of consumer demands tripping out inventories and trades, so 363 00:20:08,480 --> 00:20:11,760 Speaker 1: you're looking at the right thing. Nominal GDP is pretty weak. 364 00:20:11,800 --> 00:20:14,840 Speaker 1: Should the FED hike into that? Um? No, not right now? 365 00:20:15,400 --> 00:20:17,320 Speaker 1: UM and that and that's why they're on pause. But 366 00:20:17,359 --> 00:20:20,600 Speaker 1: could they hike into that going in later this year 367 00:20:20,640 --> 00:20:23,040 Speaker 1: if the data starts to improve, Yes, they could. And 368 00:20:23,440 --> 00:20:25,600 Speaker 1: unfortunately I think the FED has taken any rate hike 369 00:20:25,680 --> 00:20:28,439 Speaker 1: but completely off the table. They've painted themselves in a corner. 370 00:20:28,720 --> 00:20:31,640 Speaker 1: And I thought that was a communications disaster because as 371 00:20:31,680 --> 00:20:34,919 Speaker 1: China re accelerates, the global growth starts looking better. UH. 372 00:20:35,119 --> 00:20:37,159 Speaker 1: Data in the US could look better, and you know 373 00:20:37,560 --> 00:20:39,720 Speaker 1: the chance of a rate hike are higher than the 374 00:20:39,800 --> 00:20:41,960 Speaker 1: chance of a rate cut at this point, and it's 375 00:20:42,000 --> 00:20:43,760 Speaker 1: just going to be so difficult for the Fed to 376 00:20:43,760 --> 00:20:47,440 Speaker 1: do it because the pockets, of course will respond and 377 00:20:48,119 --> 00:20:50,240 Speaker 1: financial conditions will tighten, and it'll make it much harder 378 00:20:50,240 --> 00:20:51,840 Speaker 1: foot if to do it. It's going to be morning 379 00:20:51,840 --> 00:20:55,080 Speaker 1: in America. Megan, and the Red Sox will always play 380 00:20:55,160 --> 00:20:58,840 Speaker 1: the Detroit Tigers and beat them eleven to four, Megan 381 00:20:59,400 --> 00:21:02,240 Speaker 1: Megan when annuallye folks, of course, Megan Green working with 382 00:21:02,280 --> 00:21:05,520 Speaker 1: the John Hancock Company up in Boston as well, Megan, 383 00:21:06,760 --> 00:21:08,960 Speaker 1: if I look at the optimism that's out there, and 384 00:21:09,000 --> 00:21:11,600 Speaker 1: it has been an optimistic week, our Carl Ricka Donna 385 00:21:11,960 --> 00:21:15,520 Speaker 1: really re emphasizing, Okay, they're gonna raise rates at some point. 386 00:21:15,640 --> 00:21:18,760 Speaker 1: I get that. But there's a moment where somebody steps 387 00:21:18,840 --> 00:21:22,720 Speaker 1: up on stage and moves away from stability. What is 388 00:21:22,760 --> 00:21:27,359 Speaker 1: your experience of how the market reacts when a set 389 00:21:27,440 --> 00:21:31,639 Speaker 1: of commercial bankers paint themselves into a quarter. It's going 390 00:21:31,680 --> 00:21:36,000 Speaker 1: to be a brutal adjustment, right, Yeah, that's right. So 391 00:21:36,320 --> 00:21:38,479 Speaker 1: because the FEDS painted itself into your corner, I'm not 392 00:21:38,480 --> 00:21:41,840 Speaker 1: sure it can get back on the table, even if 393 00:21:41,880 --> 00:21:44,960 Speaker 1: if it should so, even if the data supports it. 394 00:21:45,119 --> 00:21:47,240 Speaker 1: So if that were to happen, if they were to try, 395 00:21:47,280 --> 00:21:50,880 Speaker 1: the markets would respond in a pretty violent way, I think, 396 00:21:51,200 --> 00:21:53,240 Speaker 1: And so we could expect a lot of volatility and 397 00:21:53,280 --> 00:21:56,280 Speaker 1: financial conditions with tighten massively. And that's one of the 398 00:21:56,320 --> 00:21:58,920 Speaker 1: fed's input. So it might it might make it impossible 399 00:21:58,960 --> 00:22:01,920 Speaker 1: for them to go ahead and try. Don't say impossible. 400 00:22:01,960 --> 00:22:05,320 Speaker 1: Come on, at some point, you know this is folks, 401 00:22:05,359 --> 00:22:08,199 Speaker 1: trees grow to the sky. I mean right now, in 402 00:22:08,200 --> 00:22:12,560 Speaker 1: this week and the effervescence, even with some gloomy earnings reports, Megan, 403 00:22:12,600 --> 00:22:15,160 Speaker 1: there's been a whole trees grow to the sky feeling 404 00:22:15,160 --> 00:22:18,760 Speaker 1: to this. Do they have a responsibility to come out 405 00:22:19,200 --> 00:22:21,879 Speaker 1: and move with the punch bowl off the table or 406 00:22:21,880 --> 00:22:23,919 Speaker 1: do they just wait and wait and wait, as you 407 00:22:24,000 --> 00:22:28,040 Speaker 1: allude to, I think they're gonna end up waiting for 408 00:22:28,080 --> 00:22:30,359 Speaker 1: a while. Um but I think that they should remove 409 00:22:30,440 --> 00:22:34,480 Speaker 1: some of the punch bowl. Um But, like I said, 410 00:22:34,520 --> 00:22:37,840 Speaker 1: they've set themselves up for really difficult communications challenge and 411 00:22:37,880 --> 00:22:40,680 Speaker 1: that wasn't necessary, but that's where they are. So I'm 412 00:22:40,680 --> 00:22:42,639 Speaker 1: not sure how they're going to manage to put types 413 00:22:42,640 --> 00:22:45,440 Speaker 1: back on the table without the markets um tightening financial 414 00:22:45,480 --> 00:22:50,440 Speaker 1: conditions again, Neil Data renaissance, uh macro, Neil data, private 415 00:22:50,480 --> 00:22:55,080 Speaker 1: domestic demands sluggish and Q one rising at a smaller rate, 416 00:22:55,160 --> 00:22:57,399 Speaker 1: and that was a weaker rate going back six years. 417 00:22:57,520 --> 00:23:00,240 Speaker 1: But you know, his theme is an optimist and Mr 418 00:23:00,320 --> 00:23:03,360 Speaker 1: dott It has been an optimist, is that consumer spending 419 00:23:03,440 --> 00:23:05,720 Speaker 1: is likely to rebound. Meggan Green, do you agree with 420 00:23:05,800 --> 00:23:11,040 Speaker 1: that the consumer spending will rebound? No, I don't. I 421 00:23:11,040 --> 00:23:14,760 Speaker 1: think actually consumer spending will remain fairly subdued, and that 422 00:23:14,880 --> 00:23:18,720 Speaker 1: of course is of USDKE. But that doesn't mean we're 423 00:23:18,720 --> 00:23:21,040 Speaker 1: going into a recession. In fact, I think we'll still 424 00:23:21,080 --> 00:23:23,760 Speaker 1: continue to grow above potential, which is around one percent 425 00:23:23,920 --> 00:23:26,800 Speaker 1: five percent, So I think we get exten expect growth 426 00:23:26,800 --> 00:23:29,560 Speaker 1: of two percent for the year. That's not fantastic, but 427 00:23:29,600 --> 00:23:31,680 Speaker 1: it's still about potential and you don't need the consumer 428 00:23:31,680 --> 00:23:34,160 Speaker 1: to knocket out of the park for that. Very good Maggan, 429 00:23:34,280 --> 00:23:36,879 Speaker 1: thank you so much, really really appreciate time from your 430 00:23:36,920 --> 00:23:43,680 Speaker 1: manual life clients. Thanks for listening to the Bloomberg Surveillance podcast. 431 00:23:44,040 --> 00:23:49,080 Speaker 1: Subscribe and listen to interviews on Apple Podcasts, SoundCloud, or 432 00:23:49,119 --> 00:23:53,440 Speaker 1: whichever podcast platform you prefer. I'm on Twitter at Tom 433 00:23:53,560 --> 00:23:57,440 Speaker 1: Keane before the podcast. You can always catch us worldwide. 434 00:23:57,880 --> 00:24:01,960 Speaker 1: I'm Bloomberg Radio, a