1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg PENL podcast. I'm Paul Swinge. You, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma wits each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg Penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:22,840 Speaker 1: at Bloomberg dot com. We want to switch gears a 8 00:00:22,880 --> 00:00:24,919 Speaker 1: little bit and talk about a T and T talk 9 00:00:24,960 --> 00:00:28,520 Speaker 1: about direct TV, the pay TV business. There's lots going 10 00:00:28,560 --> 00:00:31,160 Speaker 1: on there. Something that came out a little bit strange. 11 00:00:31,200 --> 00:00:33,320 Speaker 1: I think in this world of court cutting is a 12 00:00:33,440 --> 00:00:36,000 Speaker 1: T and T s direct TV business is actually raising rates. 13 00:00:36,000 --> 00:00:38,680 Speaker 1: So to help us kind of walk through the strategy there, 14 00:00:38,840 --> 00:00:41,080 Speaker 1: we welcome John Butler. John and John is a senior 15 00:00:41,080 --> 00:00:44,600 Speaker 1: Telecom services and Equipment analyst at Bloomberg Intelligence. He joins 16 00:00:44,680 --> 00:00:46,880 Speaker 1: us in our Bloomberg Interactive Broker studio. John. Thanks for 17 00:00:46,960 --> 00:00:49,640 Speaker 1: joining us. Uh in a world of court cutting, a 18 00:00:49,680 --> 00:00:52,440 Speaker 1: price increase seemed a little strange. What do you read 19 00:00:52,440 --> 00:00:54,840 Speaker 1: into it? It does, But I don't think they're making 20 00:00:54,960 --> 00:00:57,760 Speaker 1: money in the business. I think that's part of what's 21 00:00:57,800 --> 00:01:02,200 Speaker 1: behind this move. If you hear them defend it, they say, 22 00:01:02,280 --> 00:01:05,640 Speaker 1: we want to get towards that break even Ibada in 23 00:01:05,720 --> 00:01:10,000 Speaker 1: this business. And I think also advertising plays into it. 24 00:01:10,160 --> 00:01:15,160 Speaker 1: So they ran promotions to get subscribers into direct tv Now. 25 00:01:15,200 --> 00:01:20,560 Speaker 1: In the beginning, it's a video PayTV video streaming service, 26 00:01:20,600 --> 00:01:23,320 Speaker 1: they're up against a lot of competition. They offered low 27 00:01:23,440 --> 00:01:27,440 Speaker 1: rates to scale up quick quickly, but ultimately you want 28 00:01:27,480 --> 00:01:30,240 Speaker 1: to shake out those people that really are using the 29 00:01:30,319 --> 00:01:34,480 Speaker 1: product or are just there because of low price. So 30 00:01:34,560 --> 00:01:37,400 Speaker 1: does this suggest that they're really having problems competing with 31 00:01:37,760 --> 00:01:40,160 Speaker 1: Netflix and other streamers that are out there, because that 32 00:01:40,160 --> 00:01:42,880 Speaker 1: would be a a real concern for a T T 33 00:01:42,959 --> 00:01:44,919 Speaker 1: and Sherilds. That's that's what's that's one of the pillars 34 00:01:44,920 --> 00:01:48,760 Speaker 1: of the growth story. Yeah, I think it's a concern. Look, 35 00:01:48,800 --> 00:01:52,440 Speaker 1: a lot of people are asking what's on Netflix tonight, 36 00:01:52,520 --> 00:01:56,720 Speaker 1: what's on Amazon tonight, as opposed to turning to traditional 37 00:01:56,800 --> 00:02:00,960 Speaker 1: pay TV packages, whether it's Direct tv Now or it's 38 00:02:01,000 --> 00:02:06,160 Speaker 1: delivered via Comcast. So there is some churn there and 39 00:02:06,160 --> 00:02:10,320 Speaker 1: they're trying to stabilize that, and I think by sort 40 00:02:10,320 --> 00:02:13,200 Speaker 1: of culling the service down to the most loyal user 41 00:02:13,280 --> 00:02:16,520 Speaker 1: base they can then rebuild from there, if you will. 42 00:02:17,000 --> 00:02:19,440 Speaker 1: So just real quickly here, I'm wondering from an antitrust 43 00:02:19,440 --> 00:02:23,160 Speaker 1: perspective whether this will lead to fears that this consolidation 44 00:02:23,200 --> 00:02:25,799 Speaker 1: that we've seen among the big cable companies will lead 45 00:02:25,840 --> 00:02:29,880 Speaker 1: to higher prices for consumers. You know, I think it's 46 00:02:29,880 --> 00:02:32,880 Speaker 1: a risk, but it's so competitive at their LISA that 47 00:02:33,200 --> 00:02:36,480 Speaker 1: if anything, that's the competition is the best way to 48 00:02:36,560 --> 00:02:40,239 Speaker 1: police price. And and really there's no lack of competition 49 00:02:40,919 --> 00:02:45,040 Speaker 1: in the streaming space or in traditional pay TV. All right, 50 00:02:45,160 --> 00:02:48,360 Speaker 1: thank you so much for being with us. Really really interesting, uh, 51 00:02:48,520 --> 00:02:50,960 Speaker 1: that A T and T is hiking its prices amid 52 00:02:51,040 --> 00:02:53,760 Speaker 1: all of that fierce competition. John Butler is Bloomberg and 53 00:02:53,760 --> 00:03:12,440 Speaker 1: North American telecoms UH Bloomberg, analyst for Bloomberg in intelligence. Well, 54 00:03:12,520 --> 00:03:16,760 Speaker 1: Amazon dot Com poll has been transforming the retail landscape 55 00:03:16,800 --> 00:03:21,200 Speaker 1: in many ways. It's also been absolutely transforming the world 56 00:03:21,320 --> 00:03:25,200 Speaker 1: of shipping and delivery. Joining us now, UH, to talk 57 00:03:25,240 --> 00:03:29,760 Speaker 1: about that as well as just broadly the business backdrop 58 00:03:29,880 --> 00:03:32,360 Speaker 1: for shipping is John Pearson. He is the new chief 59 00:03:32,400 --> 00:03:36,040 Speaker 1: executive officer of DHL Express, joining us from our San 60 00:03:36,120 --> 00:03:39,640 Speaker 1: Francisco studio John, you are there to celebrate the fiftieth 61 00:03:39,760 --> 00:03:43,520 Speaker 1: year of d h L Express, Is that correct? Yeah, 62 00:03:43,680 --> 00:03:46,920 Speaker 1: that's correct. We're celebrating many things, celebrating some of our 63 00:03:46,960 --> 00:03:52,040 Speaker 1: employee awards, um, the graduation of our supervisors, d h 64 00:03:52,200 --> 00:03:56,480 Speaker 1: l's Got Heart program, and definitely our fiftieth anniversary of 65 00:03:56,600 --> 00:04:00,840 Speaker 1: d h L Express and in fact, massively pleasingly to 66 00:04:01,000 --> 00:04:04,440 Speaker 1: us all we were presented with the certificate of honor 67 00:04:04,520 --> 00:04:08,520 Speaker 1: by a representative Alex Lazar from the Mayor's office, So 68 00:04:08,600 --> 00:04:12,800 Speaker 1: that was quite something given this is our hometown. So 69 00:04:12,800 --> 00:04:16,120 Speaker 1: so fifty years a lot has happened, and in the 70 00:04:16,120 --> 00:04:19,000 Speaker 1: past few years in particular, at the rate of of 71 00:04:19,160 --> 00:04:23,080 Speaker 1: change has been dramatic. I'm just wondering, what is your 72 00:04:23,120 --> 00:04:26,400 Speaker 1: biggest challenge right now as you try to adapt to 73 00:04:26,440 --> 00:04:29,839 Speaker 1: the Amazon era. Well, I think the rate of change 74 00:04:29,839 --> 00:04:35,040 Speaker 1: has been phenomenal since nineteen sine setting up a cross 75 00:04:35,080 --> 00:04:39,640 Speaker 1: border time definite international express business wasn't easy and in 76 00:04:39,680 --> 00:04:42,800 Speaker 1: those early years when we're pioneering all the countries. But 77 00:04:43,400 --> 00:04:46,480 Speaker 1: to Amazon, yes, I mean Amazon has been a fantastic 78 00:04:46,560 --> 00:04:50,000 Speaker 1: partner and customer for I'm guessing a little bit, but 79 00:04:50,080 --> 00:04:53,640 Speaker 1: somewhere between ten and thirteen years, So um, I think 80 00:04:53,760 --> 00:04:56,320 Speaker 1: that's the most important thing. We do work with them, 81 00:04:56,400 --> 00:04:59,400 Speaker 1: we do work for them. And the way I see 82 00:04:59,400 --> 00:05:01,800 Speaker 1: it a little bit, it is that the size of 83 00:05:01,880 --> 00:05:05,120 Speaker 1: the e commerce opportunity is such, whether it be B 84 00:05:05,200 --> 00:05:08,200 Speaker 1: two C or B two B or even B two 85 00:05:08,200 --> 00:05:12,120 Speaker 1: B marketplaces, the sizes as such that we're perhaps sharing 86 00:05:12,200 --> 00:05:14,920 Speaker 1: the pizza or the cake, if you can take that analogy, 87 00:05:15,120 --> 00:05:18,560 Speaker 1: rather than competing for it. Um, I think there's a 88 00:05:18,560 --> 00:05:23,080 Speaker 1: lot out there. I think that all organizations, and definitely 89 00:05:23,120 --> 00:05:25,880 Speaker 1: this is our own focus, need to be focused on 90 00:05:25,960 --> 00:05:29,200 Speaker 1: playing in e commerce profitably. As I say, when there's 91 00:05:29,240 --> 00:05:31,919 Speaker 1: so much of something about, you can grab bits of 92 00:05:32,000 --> 00:05:34,560 Speaker 1: something that may not be right for your organization. So 93 00:05:34,600 --> 00:05:37,640 Speaker 1: we play in the the sort of top end of 94 00:05:37,680 --> 00:05:41,200 Speaker 1: the of the time definite cross border e commerce market, 95 00:05:41,240 --> 00:05:46,000 Speaker 1: whether that's luxury fashion and apparel, which a lot of 96 00:05:46,000 --> 00:05:48,960 Speaker 1: it is, by the way, but also consumer electronics and 97 00:05:48,960 --> 00:05:52,400 Speaker 1: all sorts of other things that people are producing and 98 00:05:52,440 --> 00:05:55,000 Speaker 1: putting on the world stage. So that's how I would 99 00:05:55,000 --> 00:05:57,000 Speaker 1: summarize a little bit of an e commerce comment as 100 00:05:57,040 --> 00:05:59,800 Speaker 1: a little bit of an Amazon comment. But as I say, 101 00:05:59,800 --> 00:06:02,840 Speaker 1: are relationship with Amazon has been very strong for well 102 00:06:02,880 --> 00:06:06,040 Speaker 1: over a decade, and so John, with with the growth 103 00:06:06,040 --> 00:06:09,120 Speaker 1: of e commerce, which you know no signs of slowing down. 104 00:06:09,120 --> 00:06:12,719 Speaker 1: That one of the concerns is about the global logistics backbone, 105 00:06:12,720 --> 00:06:16,640 Speaker 1: the global shipping backbone. Is it enough, Is it, I guess, 106 00:06:16,720 --> 00:06:19,120 Speaker 1: vibrant enough to support the growth of e commerce. What 107 00:06:19,200 --> 00:06:21,920 Speaker 1: is your thought that they're globally well that and that's 108 00:06:21,920 --> 00:06:25,000 Speaker 1: a great question. It relates a little bit to the 109 00:06:25,120 --> 00:06:27,760 Speaker 1: question on Amazon. And my answer on Amazon is the 110 00:06:28,400 --> 00:06:31,839 Speaker 1: volumes and the growth of that um is such that 111 00:06:32,040 --> 00:06:33,719 Speaker 1: there needs to be a lot of people in the 112 00:06:34,120 --> 00:06:37,280 Speaker 1: in the market to facilitate it. I think the complexity 113 00:06:37,360 --> 00:06:40,560 Speaker 1: comes at last mile UM. I think the movement of 114 00:06:40,640 --> 00:06:46,039 Speaker 1: goods on aircraft through hubs, our air our aviation capacity 115 00:06:46,080 --> 00:06:48,440 Speaker 1: and our airline partners and as you know, as you 116 00:06:48,480 --> 00:06:51,320 Speaker 1: may know, we just extended our Triple seven fleet by 117 00:06:51,320 --> 00:06:54,119 Speaker 1: fourteen aircraft last year, which will come in a phase 118 00:06:54,200 --> 00:06:58,040 Speaker 1: time so from aviation capacity and a hub processing capacity. 119 00:06:58,360 --> 00:07:01,200 Speaker 1: I don't see any issues whatsoever. I think the complexity 120 00:07:01,240 --> 00:07:05,080 Speaker 1: comes in last mile and satisfying rather uniquely in this 121 00:07:05,200 --> 00:07:09,080 Speaker 1: case of the e commerce vertical, the consumer demand when 122 00:07:09,080 --> 00:07:11,600 Speaker 1: you're moving things between a bank and a bank or 123 00:07:11,640 --> 00:07:14,160 Speaker 1: a textile company and a textile company on a B 124 00:07:14,240 --> 00:07:17,520 Speaker 1: two B basis, the whole thing works fairly traditionally and 125 00:07:17,720 --> 00:07:21,000 Speaker 1: people receive their packages exactly as they expected. With e 126 00:07:21,040 --> 00:07:23,640 Speaker 1: commerce is very much you know, I bought it, and 127 00:07:23,680 --> 00:07:25,800 Speaker 1: then within five minutes where is it? When will I 128 00:07:25,840 --> 00:07:29,800 Speaker 1: get it? And that track and trace sort of situation 129 00:07:29,920 --> 00:07:32,280 Speaker 1: is very different to what we experienced in B two B. 130 00:07:32,880 --> 00:07:36,240 Speaker 1: And there point comes when someone is not at home 131 00:07:36,320 --> 00:07:39,080 Speaker 1: on the day of delivery. So I think we've developed 132 00:07:39,080 --> 00:07:42,520 Speaker 1: a tool which is now in certainly of our countries 133 00:07:42,560 --> 00:07:45,320 Speaker 1: a hundred more than a hundred and fifty of our 134 00:07:45,360 --> 00:07:48,360 Speaker 1: revenue and a hundred and fifty countries called on Delivery Demand, 135 00:07:48,360 --> 00:07:52,040 Speaker 1: where we give due notification their airhead that someone's receiving something, 136 00:07:52,320 --> 00:07:54,280 Speaker 1: and give them a range and it varies a little 137 00:07:54,280 --> 00:07:56,320 Speaker 1: bit by country, give them a range of options of 138 00:07:56,360 --> 00:07:58,240 Speaker 1: how they would like to receive that. If they're going 139 00:07:58,280 --> 00:08:00,400 Speaker 1: to be at home, they will certainly elect at home. 140 00:08:00,440 --> 00:08:02,200 Speaker 1: I will receive it at home, but it could be 141 00:08:02,240 --> 00:08:04,360 Speaker 1: leave with neighbor, it could be leave at pack station, 142 00:08:04,440 --> 00:08:06,920 Speaker 1: it could be leave at one of our service partners offices, 143 00:08:07,200 --> 00:08:09,520 Speaker 1: and that facilitates that last mile. And I think that's 144 00:08:09,520 --> 00:08:12,600 Speaker 1: where the complexity comes. But e commerce, as you said, 145 00:08:12,680 --> 00:08:15,840 Speaker 1: is growing so fast that you know, in my street 146 00:08:15,880 --> 00:08:18,320 Speaker 1: in London you might see one d h L van 147 00:08:18,360 --> 00:08:21,520 Speaker 1: a day delivering to two houses. Will now absolutely you 148 00:08:21,600 --> 00:08:25,880 Speaker 1: see one delivery, one DHL delivery van delivering to most 149 00:08:25,880 --> 00:08:28,600 Speaker 1: So the density, if you will, at destination becomes a 150 00:08:28,640 --> 00:08:32,920 Speaker 1: little bit similar to a business in business to business environment. 151 00:08:33,000 --> 00:08:35,240 Speaker 1: Now in the US, you were familiar with that a 152 00:08:35,280 --> 00:08:39,040 Speaker 1: decade ago. John, I'm wondering how much are you counting 153 00:08:39,040 --> 00:08:42,840 Speaker 1: on your future to include drones and self driving vehicles. 154 00:08:43,880 --> 00:08:47,319 Speaker 1: I think the thing there is it's about R and D, 155 00:08:47,440 --> 00:08:50,400 Speaker 1: R and D and piloting. So, you know, honestly, in 156 00:08:50,480 --> 00:08:53,640 Speaker 1: my corporate lifetime, I don't expect that you know, many 157 00:08:53,880 --> 00:08:58,240 Speaker 1: e commerce deliveries will be facilitated by drones on any 158 00:08:58,400 --> 00:09:01,440 Speaker 1: on any scale really, because they have shipping companies have 159 00:09:01,480 --> 00:09:04,319 Speaker 1: actually tried a little bit. We absolutely are trying, and 160 00:09:04,360 --> 00:09:07,720 Speaker 1: we're doing pilots, and I think they give opportunity to 161 00:09:07,760 --> 00:09:10,520 Speaker 1: test in remote areas how this application. So I think 162 00:09:10,520 --> 00:09:13,040 Speaker 1: the pilot is perhaps less so how it will fly 163 00:09:13,200 --> 00:09:17,120 Speaker 1: above the streets of London, but more how applicable it 164 00:09:17,200 --> 00:09:20,360 Speaker 1: can be in more remote areas. You know, there's a 165 00:09:20,360 --> 00:09:25,599 Speaker 1: lot of regulations around, particularly from aviation regulatory bodies, regulations 166 00:09:25,640 --> 00:09:27,640 Speaker 1: around dr ownes. So I think we we have to 167 00:09:27,679 --> 00:09:31,320 Speaker 1: see how it plays out. I think driverless vehicles will 168 00:09:31,320 --> 00:09:35,840 Speaker 1: probably be more meaningful um as as time goes by, 169 00:09:35,880 --> 00:09:38,200 Speaker 1: and there's got a lot of good research and piloting 170 00:09:38,280 --> 00:09:41,400 Speaker 1: going on in companies outside of our own there, and 171 00:09:41,440 --> 00:09:45,480 Speaker 1: as some of these megacities develop over time, UM, I 172 00:09:45,480 --> 00:09:49,760 Speaker 1: think there may well be opportunity for more utility of 173 00:09:49,800 --> 00:09:52,400 Speaker 1: that particular type of vehicle. So, John, how have the 174 00:09:52,440 --> 00:09:55,240 Speaker 1: trade negotiations with China, the on again, off again negotiatings, 175 00:09:55,280 --> 00:09:57,640 Speaker 1: how they impacted your business at obvious sense that in 176 00:09:57,640 --> 00:10:00,640 Speaker 1: your Asia Pacific region. Well, I think when you're in 177 00:10:01,000 --> 00:10:04,200 Speaker 1: two hundred and twenty countries and you have a widely 178 00:10:04,280 --> 00:10:09,720 Speaker 1: distributed revenue base, UM, it's hard to actually see what's 179 00:10:09,760 --> 00:10:15,000 Speaker 1: impacting what. Let me let me extend upon that, I think, um, 180 00:10:15,200 --> 00:10:18,520 Speaker 1: Chinese New Year year on year comps are difficult to 181 00:10:18,559 --> 00:10:22,120 Speaker 1: make typically in any year, and this year is no exception. 182 00:10:22,240 --> 00:10:25,000 Speaker 1: So our little phrase in expresses that we take January 183 00:10:25,000 --> 00:10:28,160 Speaker 1: and February, bang them together and wait for March. So 184 00:10:28,320 --> 00:10:30,760 Speaker 1: I don't think we can say it's too early to 185 00:10:30,800 --> 00:10:34,240 Speaker 1: say how those affected things, but what I absolutely would 186 00:10:34,240 --> 00:10:38,440 Speaker 1: say is that whilst Brexit or China US talks, you know, 187 00:10:38,520 --> 00:10:43,480 Speaker 1: have this sort of air and flavor of protectionism or 188 00:10:43,360 --> 00:10:46,600 Speaker 1: or you know, putting some barriers up to trade, for 189 00:10:46,640 --> 00:10:49,640 Speaker 1: every two of those type of examples, there's at least 190 00:10:49,679 --> 00:10:53,560 Speaker 1: three or four or five examples of trade deals that 191 00:10:53,600 --> 00:10:57,080 Speaker 1: are liberal, liberalizing trade corridors. And you know, I think 192 00:10:57,160 --> 00:10:59,920 Speaker 1: these as an agreement between Europe and Japan being read 193 00:11:00,040 --> 00:11:03,480 Speaker 1: to find now, the Trans Pacific Partnership has has great 194 00:11:03,520 --> 00:11:06,400 Speaker 1: hopes which will come into place this year, as the 195 00:11:06,520 --> 00:11:10,600 Speaker 1: AN is a great example of a trade partnership for 196 00:11:10,679 --> 00:11:14,600 Speaker 1: seven or eight countries that was created fifty years ago 197 00:11:14,720 --> 00:11:17,840 Speaker 1: and is still understanding the test of time. So I think, 198 00:11:18,040 --> 00:11:20,480 Speaker 1: let me just say the trade policy calendar is full 199 00:11:20,520 --> 00:11:26,960 Speaker 1: of opportunistic um scenarios to to open corridors to trade 200 00:11:27,080 --> 00:11:29,360 Speaker 1: rather than shut them down. Okay, John, thanks so much. 201 00:11:29,360 --> 00:11:30,880 Speaker 1: We have to leave it there. We appreciate your time. 202 00:11:30,960 --> 00:11:34,559 Speaker 1: John Pearson, new CEO of d h L Express, joining 203 00:11:34,679 --> 00:11:54,760 Speaker 1: us from our San Francisco A studio. John, thanks very much. Well, 204 00:11:54,800 --> 00:11:56,480 Speaker 1: what a start of the year we've had. Both in 205 00:11:56,640 --> 00:11:59,959 Speaker 1: equity markets and fixed income markets. And I think investors 206 00:12:00,000 --> 00:12:02,520 Speaker 1: you're sitting back saying what are the catalyst to move 207 00:12:02,920 --> 00:12:05,880 Speaker 1: this market higher? To try to answer that and other questions, 208 00:12:05,880 --> 00:12:09,720 Speaker 1: we welcome Christina Hooper. Uh. Christina is a chief market 209 00:12:09,760 --> 00:12:12,960 Speaker 1: strategist at INVESTCA. We welcome Christina and our Bloomberg Interactive 210 00:12:12,960 --> 00:12:16,040 Speaker 1: Brokers studio. Christina, thanks for being here. So I think 211 00:12:16,080 --> 00:12:18,760 Speaker 1: again a lot of people are looking back and saying, gee, 212 00:12:18,760 --> 00:12:23,080 Speaker 1: we're had a nice move here this first part of nineteen. Uh, 213 00:12:23,120 --> 00:12:25,160 Speaker 1: we're done with earnings, We're done with the Fed. The 214 00:12:25,160 --> 00:12:27,160 Speaker 1: feed seems to be on the sidelines. What should we 215 00:12:27,200 --> 00:12:29,480 Speaker 1: look for next to get a gauge or where these 216 00:12:29,480 --> 00:12:31,719 Speaker 1: markets are going? Well, I think it's all going to 217 00:12:31,800 --> 00:12:34,800 Speaker 1: be about economic data, global economic data, because if we 218 00:12:34,840 --> 00:12:36,719 Speaker 1: look at the ten year, the yield on the ten 219 00:12:36,840 --> 00:12:41,200 Speaker 1: year has been really in sort of a very small 220 00:12:41,280 --> 00:12:44,000 Speaker 1: trading range, and if you factor in inflation, it's actually 221 00:12:44,000 --> 00:12:47,040 Speaker 1: gone down a bit this year, um, which suggests to 222 00:12:47,080 --> 00:12:49,520 Speaker 1: me that there are concerns about global growth. And so 223 00:12:49,679 --> 00:12:51,920 Speaker 1: what's going to be critical and what will likely move 224 00:12:52,000 --> 00:12:55,920 Speaker 1: stocks higher is if we do get more positive data, 225 00:12:56,040 --> 00:12:59,240 Speaker 1: particularly from places like China. We haven't seen much of 226 00:12:59,280 --> 00:13:01,680 Speaker 1: that yet, but perhaps that could be in the offing, 227 00:13:01,880 --> 00:13:04,360 Speaker 1: given how much stimulus is in the system and going 228 00:13:04,400 --> 00:13:07,360 Speaker 1: into the system. If that does happen, does that mean 229 00:13:07,400 --> 00:13:11,720 Speaker 1: that we get a real sell off in debt markets. Well, 230 00:13:11,840 --> 00:13:13,240 Speaker 1: I don't know if we're going to get a real 231 00:13:13,320 --> 00:13:16,360 Speaker 1: sell off in debt markets, but I do expect that 232 00:13:16,440 --> 00:13:20,400 Speaker 1: we will see cash on the sidelines moving into stocks incrementally. 233 00:13:20,520 --> 00:13:24,080 Speaker 1: Certainly investors are more cautious than they were before, but 234 00:13:24,400 --> 00:13:26,880 Speaker 1: I would imagine that we we wouldn't see any kind 235 00:13:26,920 --> 00:13:29,680 Speaker 1: of big sell off. It's more about a move in 236 00:13:29,800 --> 00:13:34,199 Speaker 1: as people look for signs of of more positive sentiment inequities. 237 00:13:34,480 --> 00:13:37,080 Speaker 1: You mentioned China, and maybe are you in the camp 238 00:13:37,080 --> 00:13:39,400 Speaker 1: that there are some green shoots that this fiscal stimulus 239 00:13:39,720 --> 00:13:42,880 Speaker 1: will be supportive and will drive some some maybe greater 240 00:13:42,920 --> 00:13:46,640 Speaker 1: than anticipated growth in China. I am uh. Fiscal stimulus 241 00:13:46,640 --> 00:13:50,360 Speaker 1: has been really significant, so has monetary stimulus, and I 242 00:13:50,400 --> 00:13:54,920 Speaker 1: expect that to continue. The tax cuts should be very stimulative, 243 00:13:55,280 --> 00:13:57,439 Speaker 1: and so it should be a matter of time before 244 00:13:57,440 --> 00:14:00,720 Speaker 1: that funnels into the system. It also helps that China 245 00:14:00,800 --> 00:14:05,760 Speaker 1: has downwardly revised everyone's expectations, and it should be easy 246 00:14:05,880 --> 00:14:10,240 Speaker 1: to meet those lower expectations, if not exceed them. Christina, 247 00:14:10,320 --> 00:14:13,040 Speaker 1: I'm looking right now, US high old bonds have returned 248 00:14:13,080 --> 00:14:15,480 Speaker 1: almost six and a half percent so far this year, 249 00:14:15,800 --> 00:14:20,280 Speaker 1: or not even three months into twenty nineteen. I'm just wondering, 250 00:14:20,400 --> 00:14:23,320 Speaker 1: especially as we are in this eleventh year of a 251 00:14:23,400 --> 00:14:27,320 Speaker 1: bowl market. I'm just wondering. You know, we're seeing excess 252 00:14:27,400 --> 00:14:31,320 Speaker 1: is starting to you know, continue to build. I'm just wondering, 253 00:14:31,320 --> 00:14:33,240 Speaker 1: from your perspective, what do you think will cause the 254 00:14:33,240 --> 00:14:36,800 Speaker 1: next debt crisis? That's a great question, and I think 255 00:14:36,840 --> 00:14:42,200 Speaker 1: the one significant catalyst would be quickly rising rights. Uh, 256 00:14:42,240 --> 00:14:46,480 Speaker 1: and I don't see that happening UM anytime soon. In fact, 257 00:14:46,520 --> 00:14:50,160 Speaker 1: if anything, what we've seen is central bank after central bank, 258 00:14:50,680 --> 00:14:54,440 Speaker 1: except the fact that they need to get more devish, 259 00:14:54,600 --> 00:14:58,360 Speaker 1: even though they're very much interested in normalizing to be 260 00:14:58,400 --> 00:15:01,520 Speaker 1: prepared for the next crisis. Okay, where would it be 261 00:15:01,560 --> 00:15:05,480 Speaker 1: manifested though the most where the excess is most substantial. Well, 262 00:15:05,480 --> 00:15:08,160 Speaker 1: I think we all worry about the triple B space 263 00:15:08,640 --> 00:15:11,520 Speaker 1: just because there has been such an an increase in 264 00:15:11,560 --> 00:15:15,760 Speaker 1: that space, and because it hangs on that precipice of 265 00:15:15,800 --> 00:15:19,240 Speaker 1: being knocked over UM. And of course there's a lot 266 00:15:19,280 --> 00:15:24,160 Speaker 1: in the way of UM refinancings to expect not this year, 267 00:15:24,280 --> 00:15:28,560 Speaker 1: but really UM next year, we should see about ten 268 00:15:29,200 --> 00:15:34,280 Speaker 1: of those bonds needing to be UM refinanced essentially UM, 269 00:15:34,360 --> 00:15:37,680 Speaker 1: and so that is where probably the first area that 270 00:15:37,720 --> 00:15:40,400 Speaker 1: we would want to look to UM. I also worry 271 00:15:40,400 --> 00:15:44,520 Speaker 1: about specific places like auto loans, where we've just seen 272 00:15:44,640 --> 00:15:47,440 Speaker 1: defaults go up quite significantly. Is it going to cause 273 00:15:47,480 --> 00:15:50,840 Speaker 1: the kind of crisis we saw during the g f C. No, 274 00:15:51,160 --> 00:15:54,920 Speaker 1: but that suggests weakness in pockets, and we want to 275 00:15:54,920 --> 00:15:58,480 Speaker 1: follow that closely. So Christina, looking at the US equity markets, 276 00:15:58,520 --> 00:16:01,080 Speaker 1: where areas again we've had a SMP move up about 277 00:16:01,120 --> 00:16:04,640 Speaker 1: eleven year to date. Where's invest go looking for outperformance? 278 00:16:04,680 --> 00:16:08,200 Speaker 1: Where you overweight here, trying to find some performance for 279 00:16:08,200 --> 00:16:10,360 Speaker 1: the remainder of the year. Well, it's all about being 280 00:16:10,480 --> 00:16:14,040 Speaker 1: actually very well diversified and having enough exposure to alternatives. 281 00:16:14,400 --> 00:16:17,600 Speaker 1: This is an environment where we're unlikely to see dramatic 282 00:16:17,680 --> 00:16:22,080 Speaker 1: gains in equities or for that matter, fixed income. So 283 00:16:22,160 --> 00:16:24,400 Speaker 1: what we're gonna need to do is be well diversified, 284 00:16:24,800 --> 00:16:28,280 Speaker 1: be concerned about volatility, but also use it as an 285 00:16:28,280 --> 00:16:33,280 Speaker 1: opportunity UM to take advantage for example of UM stock picking, 286 00:16:33,800 --> 00:16:39,200 Speaker 1: and also have exposure to lower or very low correlating 287 00:16:39,200 --> 00:16:44,000 Speaker 1: asset classes such as real estate, UM such as commodities 288 00:16:44,040 --> 00:16:48,120 Speaker 1: such as market neutral portfolios, ones that can soften some 289 00:16:48,160 --> 00:16:50,800 Speaker 1: of the volatility we might experience in areas like equities. 290 00:16:50,960 --> 00:16:53,400 Speaker 1: So you say that real estate is a good sort 291 00:16:53,400 --> 00:16:56,880 Speaker 1: of potential ballast, how does that figure in or how 292 00:16:56,920 --> 00:16:59,000 Speaker 1: does that pair with this idea that the US housing 293 00:16:59,040 --> 00:17:02,960 Speaker 1: market has been slow down and we got another round 294 00:17:03,120 --> 00:17:05,639 Speaker 1: of disappointing economic data this morning having to do with 295 00:17:05,680 --> 00:17:09,399 Speaker 1: US housing market. Well, that's absolutely true, but the housing 296 00:17:09,440 --> 00:17:12,440 Speaker 1: market is a mosaic again, so there are some areas 297 00:17:12,480 --> 00:17:15,600 Speaker 1: with great strength, some areas that don't have as much strength. 298 00:17:15,720 --> 00:17:18,480 Speaker 1: And of course we also see a commercial real estate 299 00:17:18,520 --> 00:17:21,080 Speaker 1: market that is in relatively good shape. So it's all 300 00:17:21,119 --> 00:17:23,640 Speaker 1: about being well diversified, and that would include real estate 301 00:17:23,680 --> 00:17:26,320 Speaker 1: actually outside the US. Well, how about in terms of 302 00:17:26,640 --> 00:17:29,320 Speaker 1: looking for a performance outside maybe the core equity fixed 303 00:17:29,359 --> 00:17:33,160 Speaker 1: income markets? How about emerging markets? Is that a place 304 00:17:33,200 --> 00:17:34,959 Speaker 1: where you would think we can get performance for their 305 00:17:35,000 --> 00:17:36,639 Speaker 1: main do the year. I'm happy you brought that up, 306 00:17:36,680 --> 00:17:39,120 Speaker 1: because that's what I neglected to talk about. E M 307 00:17:39,119 --> 00:17:42,320 Speaker 1: is very attractive right now. Now, that doesn't mean index 308 00:17:42,359 --> 00:17:45,639 Speaker 1: investing in the emerging market space, but being very selective 309 00:17:45,680 --> 00:17:48,639 Speaker 1: and actually I see opportunities in areas like China and 310 00:17:48,760 --> 00:17:52,960 Speaker 1: India and other Asian equities. Um. This is an environment 311 00:17:53,080 --> 00:17:58,000 Speaker 1: where um, it's positive for equities because emerging markets equities, 312 00:17:58,040 --> 00:18:02,200 Speaker 1: because the FED has taken foot off the accelerator, and 313 00:18:02,359 --> 00:18:05,720 Speaker 1: that should that should create some nice tail winds in 314 00:18:05,800 --> 00:18:08,920 Speaker 1: this space. How long do people have to stay invested 315 00:18:08,920 --> 00:18:13,160 Speaker 1: in this market and expect, you know, pretty pretty steady returns. Well, 316 00:18:13,359 --> 00:18:16,119 Speaker 1: we strongly recommend taking a very long view because we 317 00:18:16,200 --> 00:18:18,760 Speaker 1: don't know what the shorter term holds. And in fact, 318 00:18:19,200 --> 00:18:21,879 Speaker 1: perfect example of that is the kind of geopolitical risks 319 00:18:21,880 --> 00:18:25,800 Speaker 1: we've experienced in recent months. Uh, it's important to have 320 00:18:26,000 --> 00:18:28,600 Speaker 1: that long term view because we could see some pretty 321 00:18:28,640 --> 00:18:31,680 Speaker 1: significant hiccups in the shorter term. Are there any places 322 00:18:31,760 --> 00:18:34,720 Speaker 1: asset classes that you folks are just avoiding like the 323 00:18:34,720 --> 00:18:37,040 Speaker 1: plague right at the moment. Well, I would say I'm 324 00:18:37,160 --> 00:18:40,160 Speaker 1: very cautious on European equities. I wouldn't say avoid them, 325 00:18:40,160 --> 00:18:42,160 Speaker 1: but we need to be very selective and we may 326 00:18:42,200 --> 00:18:44,320 Speaker 1: want to underweigh them at this point. I see a 327 00:18:44,400 --> 00:18:47,920 Speaker 1: very big risk coming later this year, uh in that 328 00:18:48,080 --> 00:18:51,000 Speaker 1: Mario Draggy term ends at the end of October. Not 329 00:18:51,119 --> 00:18:54,159 Speaker 1: many people are talking about this, but it looks increasingly 330 00:18:54,240 --> 00:18:56,560 Speaker 1: likely that he will be replaced by someone who's more 331 00:18:56,560 --> 00:18:59,119 Speaker 1: hawkish and so so much of what the e c 332 00:18:59,280 --> 00:19:02,400 Speaker 1: B maybe doing in the coming months to instill confidence 333 00:19:02,960 --> 00:19:08,360 Speaker 1: may may fall on deaf ears because we have someone, 334 00:19:08,600 --> 00:19:10,639 Speaker 1: a new person coming in in just a few months 335 00:19:10,800 --> 00:19:14,919 Speaker 1: who could change policy quite dramatically. Amara Droggy has had 336 00:19:14,960 --> 00:19:18,879 Speaker 1: a very very powerful force in terms of calming markets 337 00:19:18,920 --> 00:19:22,399 Speaker 1: and taking down systemic stress. That's a really interesting point 338 00:19:22,440 --> 00:19:25,000 Speaker 1: and something that people don't talk about that much, but 339 00:19:25,040 --> 00:19:28,480 Speaker 1: it could potentially be a risk to European markets. Christina Hooper, 340 00:19:28,520 --> 00:19:30,280 Speaker 1: thank you so much for being here. Thanks for having me. 341 00:19:30,480 --> 00:19:34,000 Speaker 1: Christina Hooper is chief market strategist at Investco. Joining us 342 00:19:34,000 --> 00:19:37,680 Speaker 1: here in our Bloomberg Interactive Broker's Studios. Thanks for listening 343 00:19:37,720 --> 00:19:40,120 Speaker 1: to the Bloomberg P and L podcast. You can subscribe 344 00:19:40,160 --> 00:19:42,920 Speaker 1: and listen to interviews at Apple Podcasts or whatever podcast 345 00:19:42,960 --> 00:19:46,520 Speaker 1: platform you prefer. Paul Sweeney, I'm on Twitter at pt Sweeney. 346 00:19:46,600 --> 00:19:49,040 Speaker 1: I'm Lisa abram Woids. I'm on Twitter at Lisa Abram 347 00:19:49,080 --> 00:19:51,679 Speaker 1: Woods one before the podcast. You can always catch us 348 00:19:51,760 --> 00:19:53,359 Speaker 1: worldwide on Bloomberg Radio