1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg pim L Podcast. I'm pim Fox. 2 00:00:08,760 --> 00:00:11,440 Speaker 1: Along with my co host Lisa A. Bramowitz. Each day 3 00:00:11,480 --> 00:00:15,000 Speaker 1: we bring you the most important, noteworthy, and useful interviews 4 00:00:15,040 --> 00:00:17,520 Speaker 1: for you and your money, whether you're at the grocery 5 00:00:17,560 --> 00:00:20,560 Speaker 1: store or the trading floor. Find the Bloomberg p m 6 00:00:20,680 --> 00:00:33,680 Speaker 1: L Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. 7 00:00:33,680 --> 00:00:36,519 Speaker 1: Time to turn to the US economy and what we 8 00:00:36,560 --> 00:00:39,800 Speaker 1: can read out of its performance in terms of investments. 9 00:00:40,159 --> 00:00:42,280 Speaker 1: Joining us as Gary Shilling. He is the president of 10 00:00:42,280 --> 00:00:44,879 Speaker 1: a Gary Shilling and Company. He is also a Bloomberg 11 00:00:45,000 --> 00:00:49,120 Speaker 1: View profiting columnists and Gary always a pleasure to speak 12 00:00:49,159 --> 00:00:51,440 Speaker 1: with you. UM, wonder if you could just give us 13 00:00:51,479 --> 00:00:55,480 Speaker 1: your thoughts based on today's payroll report non farm payroll report, 14 00:00:55,960 --> 00:01:01,000 Speaker 1: and are you still positioning yourself as long US treasuries. Yes, 15 00:01:01,120 --> 00:01:02,920 Speaker 1: we are, a matter of fact, we've we've stepped up 16 00:01:02,920 --> 00:01:05,680 Speaker 1: our position in the last several weeks and the portfolios 17 00:01:05,720 --> 00:01:08,760 Speaker 1: we manage. UM. I think we're in a situation here 18 00:01:08,760 --> 00:01:12,720 Speaker 1: where pay rolls are are growing but rather modestly. Nothing 19 00:01:12,800 --> 00:01:16,280 Speaker 1: really uh to get excited about. Nothing that's going to 20 00:01:16,400 --> 00:01:19,520 Speaker 1: change the Fed's view of the world. And of course 21 00:01:19,520 --> 00:01:21,480 Speaker 1: there's a big difference between what the Fed does on 22 00:01:21,520 --> 00:01:23,800 Speaker 1: the short end of the curve and where you get 23 00:01:23,800 --> 00:01:26,440 Speaker 1: out into the ten uere. And even more so as 24 00:01:26,480 --> 00:01:28,600 Speaker 1: you know him, the thirty year that I like, the 25 00:01:28,720 --> 00:01:30,920 Speaker 1: spillower is very limited when you get out there and 26 00:01:30,920 --> 00:01:34,560 Speaker 1: you've you've got a lot of deflationary forces, safe haven effects. 27 00:01:34,920 --> 00:01:37,560 Speaker 1: You look at what's happening just today here with the 28 00:01:37,640 --> 00:01:41,560 Speaker 1: latest turmoil on the on the trade front, and where 29 00:01:41,560 --> 00:01:44,639 Speaker 1: do people go. They go to treasuries, business as usual, 30 00:01:45,680 --> 00:01:48,920 Speaker 1: so Gary, So it sounds like you are currently out 31 00:01:48,920 --> 00:01:52,160 Speaker 1: there buying thirty year treasuries on a day like today. 32 00:01:52,440 --> 00:01:54,840 Speaker 1: I'm just wondering how overweight are you? And where do 33 00:01:54,840 --> 00:01:56,440 Speaker 1: you see the yield ending up? Because right now I'm 34 00:01:56,440 --> 00:01:59,520 Speaker 1: looking at a three percent yield on three year treasuries. 35 00:01:59,520 --> 00:02:03,520 Speaker 1: Where's it go? Well, all on record is as saying 36 00:02:03,520 --> 00:02:05,560 Speaker 1: I think it'll go to it'll go to two percent, 37 00:02:06,320 --> 00:02:10,480 Speaker 1: And really it's really the fact that the skin I 38 00:02:10,520 --> 00:02:14,240 Speaker 1: think we're in a world of a lot of deflationary forces, 39 00:02:14,280 --> 00:02:18,519 Speaker 1: and you know, protuctionism elenly is deflationary excent that dispose 40 00:02:18,840 --> 00:02:22,239 Speaker 1: economic growth. Although we're in a kabuki dance right now 41 00:02:22,400 --> 00:02:26,079 Speaker 1: posturing more than anything else. Uh. But but again the 42 00:02:26,200 --> 00:02:28,640 Speaker 1: safe haven effect. And you know one other thing. The 43 00:02:28,760 --> 00:02:32,400 Speaker 1: Chinese people worry about their dumping treasuries, but they're on 44 00:02:32,520 --> 00:02:35,240 Speaker 1: record is saying that they are not going to change 45 00:02:35,240 --> 00:02:39,720 Speaker 1: their their policy. And obviously if they started to sell treasuries, UH, 46 00:02:39,880 --> 00:02:42,440 Speaker 1: they would tank. And who would be the big losers 47 00:02:42,440 --> 00:02:44,679 Speaker 1: the Chinese because then the rest of their portfolio would 48 00:02:44,720 --> 00:02:49,320 Speaker 1: be vastly reduced. So UM, I think again the safe 49 00:02:49,360 --> 00:02:52,160 Speaker 1: haven effect and deflationary forces. So I think we go 50 00:02:52,240 --> 00:02:54,160 Speaker 1: to two and if we go to two percent, if 51 00:02:54,200 --> 00:02:56,959 Speaker 1: we go to two percent from here, in one year, 52 00:02:57,000 --> 00:03:00,000 Speaker 1: you'll make thirty percent on a thirty year coupon treasure 53 00:03:00,000 --> 00:03:03,440 Speaker 1: three and thirty three on a zero UH coupon treasury 54 00:03:03,480 --> 00:03:06,160 Speaker 1: thirty year. Tell us what your thoughts on the outlook 55 00:03:06,200 --> 00:03:12,000 Speaker 1: for commodity prices and specifically oil, well oil oil. Obviously 56 00:03:12,080 --> 00:03:15,480 Speaker 1: we're facing OLFAC, which is trying desperately to do what 57 00:03:15,600 --> 00:03:18,919 Speaker 1: they what they have had to do traditionally, which is 58 00:03:18,960 --> 00:03:21,840 Speaker 1: to be the swing producer, to cut back to accommodate 59 00:03:22,040 --> 00:03:24,320 Speaker 1: everybody else who wants a bigger share of the market. 60 00:03:24,360 --> 00:03:27,560 Speaker 1: The American frackers in particular, UH, They did that for 61 00:03:27,639 --> 00:03:31,720 Speaker 1: ten years. In November of often they said enough is enough. 62 00:03:31,760 --> 00:03:34,200 Speaker 1: They fled to the market. They went from thirty million 63 00:03:34,200 --> 00:03:37,640 Speaker 1: barrels a data thirty three point eight million almost overnight. 64 00:03:37,920 --> 00:03:40,640 Speaker 1: They wanted to squeeze out the flackers. Uh, frackers play 65 00:03:40,680 --> 00:03:42,800 Speaker 1: a glorify game of chicken, and hoof turned out to 66 00:03:42,800 --> 00:03:44,960 Speaker 1: be the chicken. It's olfac. So they're they're trying to 67 00:03:45,000 --> 00:03:47,480 Speaker 1: cut back. But the point is that the frackers are 68 00:03:47,560 --> 00:03:50,600 Speaker 1: very resilient and they're producing now. We're now looking and 69 00:03:50,680 --> 00:03:53,160 Speaker 1: I think at ten point four million barrels of a 70 00:03:53,280 --> 00:03:57,400 Speaker 1: US production atuff about half half a million barrels from 71 00:03:57,440 --> 00:04:00,320 Speaker 1: a year ago. And uh, yeah, I think there is 72 00:04:00,440 --> 00:04:02,520 Speaker 1: there is a range on this, but I think the 73 00:04:03,160 --> 00:04:06,240 Speaker 1: pressure is is down on oil prices. And the point 74 00:04:06,320 --> 00:04:08,280 Speaker 1: is that the longer OPEC goes and they've got to 75 00:04:08,360 --> 00:04:10,680 Speaker 1: Russia in other countries with him, of course, but the 76 00:04:10,720 --> 00:04:14,160 Speaker 1: longer that goes, the comfort is to maintain discipline because 77 00:04:14,200 --> 00:04:16,920 Speaker 1: they have huge budget deviasits are trying to fill it 78 00:04:17,000 --> 00:04:19,800 Speaker 1: one higher prices in order to get the revenues to 79 00:04:19,839 --> 00:04:23,760 Speaker 1: do that. In Saudi Arabia, Ran, Olivia, you name it. Uh. 80 00:04:23,920 --> 00:04:27,479 Speaker 1: And the point is that at some point somebody's gonna 81 00:04:27,520 --> 00:04:30,360 Speaker 1: say enough is enough. I'm gonna cheat. I'm going to 82 00:04:30,480 --> 00:04:34,240 Speaker 1: sell more because I desperately need the revenues. Gary. It 83 00:04:34,240 --> 00:04:37,239 Speaker 1: sounds like you're pretty barrish. Actually it's to other people. 84 00:04:37,400 --> 00:04:39,159 Speaker 1: What would what would you have to see to sort 85 00:04:39,160 --> 00:04:42,039 Speaker 1: of say to yourself? You know Paris on treasuries. Right, 86 00:04:42,080 --> 00:04:44,200 Speaker 1: you're not farrish on this in the traditional human ascid. 87 00:04:45,240 --> 00:04:48,040 Speaker 1: I have been since nineteen one when I said we're 88 00:04:48,120 --> 00:04:50,039 Speaker 1: entering the bond rally of the lifetime in the yield 89 00:04:50,040 --> 00:04:52,960 Speaker 1: on the third of your bond was was twelve point 90 00:04:53,040 --> 00:04:55,400 Speaker 1: six percent at that point. Yeah, but right now there's 91 00:04:55,400 --> 00:04:57,320 Speaker 1: something else driving in And I wanted to ask you 92 00:04:57,400 --> 00:04:59,520 Speaker 1: what would you have to see to think, huh, maybe 93 00:04:59,560 --> 00:05:02,040 Speaker 1: I'm maybe the U. S. Economy is doing better than 94 00:05:02,040 --> 00:05:05,479 Speaker 1: I think it has. It doesn't just the economy doing 95 00:05:05,520 --> 00:05:09,640 Speaker 1: better than The link with treasure yields is very clearly inflation. 96 00:05:09,960 --> 00:05:13,120 Speaker 1: There's about a sixty percent correlation between long term treasure 97 00:05:13,200 --> 00:05:16,360 Speaker 1: yields and inflation. And it would really take something that 98 00:05:16,400 --> 00:05:22,400 Speaker 1: would dramatically increase inflation. Now, historically that's been wars periods 99 00:05:22,400 --> 00:05:25,520 Speaker 1: when government spending vastly exceeds revenues on top of a 100 00:05:25,560 --> 00:05:29,640 Speaker 1: fully employed economy, and the economy is strained, you get 101 00:05:29,640 --> 00:05:32,200 Speaker 1: in inflation. The last time we had that, of course, 102 00:05:32,360 --> 00:05:35,960 Speaker 1: was with a great society and Vietnam spending back to 103 00:05:36,000 --> 00:05:39,640 Speaker 1: back in the late sixties and early seventies. Uh, could 104 00:05:39,680 --> 00:05:42,440 Speaker 1: that be created again? Sure? I mean if Congress the 105 00:05:42,440 --> 00:05:46,880 Speaker 1: administration really go hog while in terms of infrastructure spending 106 00:05:46,880 --> 00:05:49,000 Speaker 1: and military spending, there's a lot of pressure to do 107 00:05:49,080 --> 00:05:51,359 Speaker 1: so because voters are mad as hell or hasn't been 108 00:05:51,400 --> 00:05:54,320 Speaker 1: any growth in in real incomes for most people in 109 00:05:54,400 --> 00:05:57,320 Speaker 1: over a decade. That could do it, But that's that's 110 00:05:57,520 --> 00:06:00,000 Speaker 1: in a longer in a in a more fundamental stample, 111 00:06:00,120 --> 00:06:02,920 Speaker 1: you've got to see inflation and and otherwise we're in 112 00:06:02,960 --> 00:06:05,800 Speaker 1: an excess supply world. I mean, that's why Trump's got 113 00:06:05,800 --> 00:06:08,280 Speaker 1: the upper hand and the with the Chinese in an 114 00:06:08,320 --> 00:06:11,520 Speaker 1: upper in a in an excess supply world, who's got 115 00:06:11,560 --> 00:06:14,400 Speaker 1: the upper hand? And say not the seller? Gary? You 116 00:06:14,480 --> 00:06:17,400 Speaker 1: mentioned military spending. What do you think about investing in 117 00:06:17,440 --> 00:06:21,240 Speaker 1: aerospace and defense companies? We are in poor fellow as 118 00:06:21,240 --> 00:06:24,000 Speaker 1: we managed we we do have positions in the aerospace 119 00:06:24,040 --> 00:06:29,800 Speaker 1: and defense area. Have you been increasing them? No, No, 120 00:06:30,040 --> 00:06:32,279 Speaker 1: we've helped steady, but we have we have a we 121 00:06:32,360 --> 00:06:36,000 Speaker 1: have an extraordinary amount of cash. I mean having said that, 122 00:06:36,279 --> 00:06:40,559 Speaker 1: you know, we're in psories for aerospace, but we're really 123 00:06:40,839 --> 00:06:43,320 Speaker 1: very heavy on cash because you've you've had some much 124 00:06:43,440 --> 00:06:46,480 Speaker 1: more volatility, and I think there's this long bowlmarket in 125 00:06:46,600 --> 00:06:51,440 Speaker 1: stocks that started in March of of of two thousand nine. Uh, 126 00:06:51,560 --> 00:06:54,080 Speaker 1: you know, very steady and obviously spawned a lot of 127 00:06:54,480 --> 00:06:57,680 Speaker 1: a lot of excess risk taking because interest rates were 128 00:06:57,680 --> 00:07:01,240 Speaker 1: low and people thought they deserved more and they took 129 00:07:01,240 --> 00:07:04,120 Speaker 1: advantage of low volativity, the big play with VIX. But 130 00:07:04,120 --> 00:07:05,960 Speaker 1: of course that really started to come on glue in 131 00:07:06,040 --> 00:07:10,880 Speaker 1: early February when we saw the Vics take off and 132 00:07:10,880 --> 00:07:14,880 Speaker 1: and stocks Plumbert and Shan. But it's a very tricky 133 00:07:14,920 --> 00:07:18,280 Speaker 1: world right now because you haven't seen the usual massive 134 00:07:18,400 --> 00:07:22,200 Speaker 1: run for either treasuries or goal right, which would normally 135 00:07:22,200 --> 00:07:25,160 Speaker 1: be that the haven type of trade. Unfortunately, gonna have 136 00:07:25,160 --> 00:07:27,440 Speaker 1: to leave their Gary Shilling, president of A Gary Shilling 137 00:07:27,440 --> 00:07:44,640 Speaker 1: and Company, also Bloomberg View Profit and columnists, how do 138 00:07:44,880 --> 00:07:49,280 Speaker 1: trade disputes figure into the value of investments in China? 139 00:07:49,440 --> 00:07:51,640 Speaker 1: Here to help us understand this is Brendan A. Hearn. 140 00:07:51,720 --> 00:07:54,800 Speaker 1: He is the chief investment officer of Crane Shares and 141 00:07:54,880 --> 00:07:59,080 Speaker 1: he joins US now. Brendan, maybe you could just describe 142 00:07:59,240 --> 00:08:02,320 Speaker 1: sort of what is happened in the Chinese stock market, 143 00:08:02,320 --> 00:08:05,960 Speaker 1: what has been the reaction to trade tariffs and trade 144 00:08:05,960 --> 00:08:09,760 Speaker 1: potential trade wars between the United States and China. Yeah, 145 00:08:09,880 --> 00:08:12,680 Speaker 1: you know, the Shanghai and Shenzen markets PAM have been 146 00:08:12,680 --> 00:08:16,480 Speaker 1: closed for my my my favorite Chinese holiday tomb sweeping 147 00:08:16,840 --> 00:08:21,880 Speaker 1: both Thursday and today on Friday. Hong Kong was open today, um, 148 00:08:21,920 --> 00:08:24,040 Speaker 1: and I think most investor to be surprised. The the 149 00:08:24,080 --> 00:08:27,520 Speaker 1: Hanks saying actually gained uh just over one per cent 150 00:08:27,800 --> 00:08:31,640 Speaker 1: um and this was obviously included the post market close 151 00:08:31,880 --> 00:08:36,600 Speaker 1: uh comments from President Trump. So so actually the Hong 152 00:08:36,679 --> 00:08:39,360 Speaker 1: Kong market took it in stride. You know, Brandon, you 153 00:08:39,400 --> 00:08:41,640 Speaker 1: could argue that the US market is as well. A 154 00:08:41,679 --> 00:08:44,439 Speaker 1: lot of people who I speak to anyway, uh, they 155 00:08:44,520 --> 00:08:46,720 Speaker 1: just tell us, you know what, this is just a 156 00:08:46,720 --> 00:08:49,000 Speaker 1: war of words. This is chest beating. This is part 157 00:08:49,040 --> 00:08:51,600 Speaker 1: of the art of the deal. We're not paying attention, 158 00:08:51,760 --> 00:08:55,640 Speaker 1: should they? Yeah? I mean, I think ultimately there's there's 159 00:08:55,720 --> 00:08:59,560 Speaker 1: so much at risk for for both countries around further 160 00:08:59,679 --> 00:09:02,400 Speaker 1: s f lation that we certainly hope that this war 161 00:09:02,640 --> 00:09:06,680 Speaker 1: words is simply a part of that negotiating tactic. Uh, certainly, 162 00:09:06,800 --> 00:09:11,640 Speaker 1: there's just so much at stake that to to unravel UM, 163 00:09:11,760 --> 00:09:13,839 Speaker 1: you know, the great progress that's been made or do 164 00:09:13,880 --> 00:09:16,440 Speaker 1: a real, real, real shame and really would have a 165 00:09:16,440 --> 00:09:20,800 Speaker 1: disastrous effect for for arguably both parties. Right then, just 166 00:09:20,880 --> 00:09:23,360 Speaker 1: looking at the shares of Ali Baba Group as a 167 00:09:23,400 --> 00:09:26,120 Speaker 1: proxy down about one and a half percent so far 168 00:09:26,240 --> 00:09:30,240 Speaker 1: this year, is Ali Baba perhaps indicative of what we 169 00:09:30,280 --> 00:09:32,520 Speaker 1: can expect? In other words, would you be watching those 170 00:09:32,559 --> 00:09:37,200 Speaker 1: shares for any reaction based on these trade negotiations? Yeah. 171 00:09:37,320 --> 00:09:40,520 Speaker 1: I think it's interesting that the US list of Chinese 172 00:09:40,559 --> 00:09:43,520 Speaker 1: companies that that we hold within our k web or 173 00:09:43,600 --> 00:09:47,880 Speaker 1: trying to focus Internet Strategy UM are used as trying 174 00:09:47,920 --> 00:09:51,920 Speaker 1: to proxies. But the fight thing is, though UM, only 175 00:09:52,080 --> 00:09:56,400 Speaker 1: four per cent of the revenue generated by the companies 176 00:09:56,440 --> 00:10:00,360 Speaker 1: that we hold within k web are generated out side 177 00:10:00,400 --> 00:10:04,400 Speaker 1: of China. UM. You compare that to the SMP five hundred, 178 00:10:04,400 --> 00:10:08,960 Speaker 1: where over twenty of the US companies held within SMP 179 00:10:09,120 --> 00:10:12,040 Speaker 1: five hundred UH come from outside of the United States. 180 00:10:12,200 --> 00:10:13,880 Speaker 1: So it's so it's interesting if if you're if you're 181 00:10:13,920 --> 00:10:16,120 Speaker 1: selling your Ali Baba because you're worried about a trade war. 182 00:10:16,360 --> 00:10:19,880 Speaker 1: The reality is Ali Baba has virtually no exposure to 183 00:10:19,960 --> 00:10:24,000 Speaker 1: the United States. It's a domestically oriented company. It's hard, 184 00:10:24,600 --> 00:10:28,920 Speaker 1: it's really hard to understand that rationale. You know. One 185 00:10:28,960 --> 00:10:31,800 Speaker 1: thing that I'm trying to understand right now is it 186 00:10:31,880 --> 00:10:35,480 Speaker 1: seems quite clear, uh, that perhaps there could be a 187 00:10:35,559 --> 00:10:37,959 Speaker 1: more level playing field with China and the rest of 188 00:10:38,040 --> 00:10:41,199 Speaker 1: the world. A lot of the world agrees with that, frankly, Uh, 189 00:10:41,920 --> 00:10:45,160 Speaker 1: But what's unclear to me is how much are is 190 00:10:45,160 --> 00:10:48,400 Speaker 1: there concrete talking going on and versus how much is 191 00:10:48,520 --> 00:10:51,520 Speaker 1: this just sort of like a you know, one blow here, 192 00:10:51,720 --> 00:10:53,959 Speaker 1: one blow there, chest pouting here, and kind of like 193 00:10:54,160 --> 00:10:59,160 Speaker 1: a drumbeat something actually happening. Yeah, I definitely. One one 194 00:10:59,160 --> 00:11:01,559 Speaker 1: thing that I think the market, you know, didn't like 195 00:11:01,800 --> 00:11:05,079 Speaker 1: to hear was was, you know, Larry Cudlow, who threw 196 00:11:05,920 --> 00:11:10,000 Speaker 1: through a life life preserver to markets on Wednesday by 197 00:11:10,120 --> 00:11:11,760 Speaker 1: coming out and saying, oh, you know, this is a 198 00:11:11,800 --> 00:11:14,719 Speaker 1: negotiator coming out and saying that there's no talk has 199 00:11:14,800 --> 00:11:19,800 Speaker 1: taken place. Over a trillion in global market capitalization has 200 00:11:19,880 --> 00:11:25,160 Speaker 1: been lost um over the last several weeks globally. UM, 201 00:11:25,400 --> 00:11:28,079 Speaker 1: and and it's it's it's it's a little disconcerting that 202 00:11:28,200 --> 00:11:31,760 Speaker 1: that you know that the talks, these negotiations I haven't started. Um, 203 00:11:32,160 --> 00:11:36,760 Speaker 1: you know, so day came out and uh, I think 204 00:11:36,800 --> 00:11:39,640 Speaker 1: that's accelerated. Uh that you know, this is this says 205 00:11:39,760 --> 00:11:42,760 Speaker 1: serious implications and you know, I think you know, I 206 00:11:42,920 --> 00:11:47,080 Speaker 1: hope cooler heads prevail and discussion does take place. Uh. 207 00:11:47,200 --> 00:11:50,839 Speaker 1: There's great opportunities for both countries to enhance this relationship, 208 00:11:51,000 --> 00:11:53,000 Speaker 1: but you've got to get down and talk. Hopefully that 209 00:11:53,200 --> 00:11:57,199 Speaker 1: that takes place shortly. Brendan, what about smart investors? What 210 00:11:57,320 --> 00:11:59,960 Speaker 1: are they doing? I want to note that you've described 211 00:12:00,040 --> 00:12:03,080 Speaker 1: how the Lippo Group, which is a big real estate 212 00:12:03,120 --> 00:12:09,800 Speaker 1: company based in Indonesia, has been adding to their China stockholdings. Yeah. 213 00:12:09,880 --> 00:12:12,120 Speaker 1: One of the things that we've continued to see that 214 00:12:12,320 --> 00:12:15,000 Speaker 1: that is quite interesting. Over the last several weeks, we've 215 00:12:15,040 --> 00:12:19,000 Speaker 1: seen increased within Southbound connect trading, which has been closed 216 00:12:19,080 --> 00:12:23,000 Speaker 1: due to tomb sweeping, holiday um buying, and then more 217 00:12:23,080 --> 00:12:25,959 Speaker 1: recently we had uh the Lippo Group, who you know, 218 00:12:26,040 --> 00:12:28,160 Speaker 1: anyone who's traveled to Hong Kong, you see the big 219 00:12:28,200 --> 00:12:32,959 Speaker 1: skyscrapers with with the family name. So it is interesting 220 00:12:33,000 --> 00:12:37,400 Speaker 1: that we're seeing buying on weakness from both mainland as 221 00:12:37,440 --> 00:12:39,760 Speaker 1: well as now in this case a very very prestigious 222 00:12:39,760 --> 00:12:43,240 Speaker 1: family in in Hong Kong so Um and and even 223 00:12:43,400 --> 00:12:45,720 Speaker 1: even earlier this week it was interesting we actually saw 224 00:12:46,280 --> 00:12:50,520 Speaker 1: northbound foreign buying on weakness. So so I like to 225 00:12:50,640 --> 00:12:54,360 Speaker 1: hope that institutional investors are keeping up. People are willing 226 00:12:54,760 --> 00:12:58,520 Speaker 1: to to sell based on emotions Um and you know 227 00:12:58,640 --> 00:13:01,720 Speaker 1: professional investors are going to by those shares. Brendan are 228 00:13:01,840 --> 00:13:04,880 Speaker 1: real quick. If you could give a percent chance that 229 00:13:04,960 --> 00:13:07,960 Speaker 1: we are going to escalate into some sort of trade 230 00:13:08,200 --> 00:13:11,000 Speaker 1: or what percent chance would you give it, I think 231 00:13:11,040 --> 00:13:14,760 Speaker 1: on the talk it's it's probably in terms of the 232 00:13:14,880 --> 00:13:19,320 Speaker 1: reality of an actual trade war having a much much 233 00:13:19,440 --> 00:13:24,040 Speaker 1: low low percentage. There's just too much at stake. I 234 00:13:24,280 --> 00:13:26,360 Speaker 1: I would think, you know, I think Li said, you know, 235 00:13:26,679 --> 00:13:29,720 Speaker 1: no one wants to be known as orchestrating the smooth 236 00:13:29,800 --> 00:13:33,920 Speaker 1: hally and that that is what people will be go 237 00:13:34,120 --> 00:13:38,160 Speaker 1: down in history for if if this escalation actually takes place. 238 00:13:38,559 --> 00:13:42,079 Speaker 1: I don't think the reputation people have built successfully in 239 00:13:42,320 --> 00:13:47,319 Speaker 1: business are worth throwing away for for really just you 240 00:13:47,360 --> 00:13:49,840 Speaker 1: know a lot. I mean, there are very much grievances 241 00:13:50,000 --> 00:13:53,360 Speaker 1: that should be addressed by by the China side around 242 00:13:53,400 --> 00:13:55,800 Speaker 1: infectual property. At the same time, they've made great strides 243 00:13:55,840 --> 00:13:58,920 Speaker 1: in opening up. So hopefully those cooler heads prevailed in 244 00:13:59,040 --> 00:14:01,319 Speaker 1: her and thank you so much, Io of Crane Shares. 245 00:14:15,679 --> 00:14:19,600 Speaker 1: So with today's declines, we have turned read for the 246 00:14:19,680 --> 00:14:23,320 Speaker 1: year on the SMP five hundred uh. The Dow Jones 247 00:14:23,480 --> 00:14:27,480 Speaker 1: also read for the year. Who is out there willing 248 00:14:27,760 --> 00:14:30,480 Speaker 1: to buy? Well, perhaps we'll get our answer from Aaron Brown. 249 00:14:30,760 --> 00:14:33,440 Speaker 1: She is head of acid Allocation at UBS Asset Management, 250 00:14:33,480 --> 00:14:36,840 Speaker 1: overseeing about seven hundred and seventy billion dollars. It's based 251 00:14:36,880 --> 00:14:39,120 Speaker 1: in New York. Aaron, thank you so much for being here. 252 00:14:39,720 --> 00:14:44,080 Speaker 1: So we have seen this weakness. Are you buying yes, 253 00:14:44,160 --> 00:14:47,360 Speaker 1: So we have the view that through throughout the duration 254 00:14:47,440 --> 00:14:49,560 Speaker 1: of this year, we expect that equies are going to 255 00:14:49,680 --> 00:14:52,600 Speaker 1: end the year higher. So we're still expecting about mid 256 00:14:52,800 --> 00:14:57,280 Speaker 1: single digits earnings or SMP returns this year and double 257 00:14:57,320 --> 00:15:00,760 Speaker 1: digit earnings growth. So we are buying into pockets weakness. However, 258 00:15:01,160 --> 00:15:03,640 Speaker 1: right now here we've taken a little bit of a 259 00:15:03,680 --> 00:15:05,880 Speaker 1: weight and c mode to see some of the trade 260 00:15:05,920 --> 00:15:09,800 Speaker 1: tariff discussions come to a conclusion before we really start 261 00:15:09,840 --> 00:15:12,120 Speaker 1: in in force and start buying. This is important. In 262 00:15:12,200 --> 00:15:15,200 Speaker 1: other words, even if you don't necessarily believe that there's 263 00:15:15,240 --> 00:15:18,280 Speaker 1: going to be a full blown escalation, it isn't worth 264 00:15:18,360 --> 00:15:20,760 Speaker 1: it to you. It sounds like, if I'm interpreting this 265 00:15:20,880 --> 00:15:23,400 Speaker 1: right and correct me if I'm wrong, to step in here, 266 00:15:23,520 --> 00:15:27,960 Speaker 1: because that possibility is potentially highly damaging and could change 267 00:15:28,000 --> 00:15:30,280 Speaker 1: your view. Yeah, so I think for now you're getting 268 00:15:30,280 --> 00:15:32,320 Speaker 1: paid to weight right. I don't think that there's a 269 00:15:32,440 --> 00:15:35,560 Speaker 1: necessarily a need to be stepping in right here, right 270 00:15:35,640 --> 00:15:38,680 Speaker 1: now and buying stocks. That said, on the margin, we're 271 00:15:38,760 --> 00:15:41,760 Speaker 1: nibbling when we see real pockets of weakness in specific 272 00:15:41,840 --> 00:15:44,360 Speaker 1: sectors or in specific you know, sort of areas of 273 00:15:44,440 --> 00:15:47,560 Speaker 1: the market that we like. We actually think that given 274 00:15:47,600 --> 00:15:51,320 Speaker 1: the declines, valuations look attractive. But you're also having a 275 00:15:51,400 --> 00:15:54,200 Speaker 1: higher risk premium priced into stocks. So the counterbalance of 276 00:15:54,280 --> 00:15:57,240 Speaker 1: that right now means we're standing on the sidelines with 277 00:15:57,400 --> 00:16:00,240 Speaker 1: some dry powder, getting ready to buy more some of 278 00:16:00,280 --> 00:16:03,040 Speaker 1: the changes we have made of late. We are buying 279 00:16:03,080 --> 00:16:05,080 Speaker 1: a little bit of a e M because we think 280 00:16:05,120 --> 00:16:07,480 Speaker 1: that e M has been hit but actually has been 281 00:16:07,560 --> 00:16:10,160 Speaker 1: performing pretty well as actually held in there, and we 282 00:16:10,200 --> 00:16:12,880 Speaker 1: think that the earnings trajectory and the structural underweight within 283 00:16:12,960 --> 00:16:16,640 Speaker 1: emerging markets still supports and overweight to e M, so 284 00:16:16,800 --> 00:16:19,360 Speaker 1: we're buying there, but we're also on the other side 285 00:16:19,400 --> 00:16:22,240 Speaker 1: of that doing some currency trades like buying the en 286 00:16:22,760 --> 00:16:25,400 Speaker 1: um to support and to support sort of our our 287 00:16:25,520 --> 00:16:28,320 Speaker 1: risk off positions, and also being a little bit longer 288 00:16:28,480 --> 00:16:32,000 Speaker 1: US treasury yields, so buying a little bit of equities, 289 00:16:32,120 --> 00:16:35,200 Speaker 1: but also counter balancing that with a little bit more 290 00:16:35,280 --> 00:16:38,160 Speaker 1: defensive positioning in our FX and our rape books. I 291 00:16:38,200 --> 00:16:40,120 Speaker 1: want to just continue on what you talked about having 292 00:16:40,160 --> 00:16:42,560 Speaker 1: to do with currencies and get your thoughts on the dollar. 293 00:16:42,640 --> 00:16:44,360 Speaker 1: Do you think that we're going to see increased dollar 294 00:16:44,480 --> 00:16:48,280 Speaker 1: weakness throughout the duration of this year. Absolutely. Our view 295 00:16:48,520 --> 00:16:50,880 Speaker 1: is that the dollar will weakend versus the euro to 296 00:16:50,960 --> 00:16:53,400 Speaker 1: about one thirty by the end of the year. We 297 00:16:53,560 --> 00:16:56,400 Speaker 1: expect that versus the end we expect a dollar end 298 00:16:56,440 --> 00:16:59,640 Speaker 1: to end the year around a hundred. So throughout the 299 00:16:59,720 --> 00:17:01,600 Speaker 1: duration you know, this year, we are expecting that the 300 00:17:01,680 --> 00:17:04,680 Speaker 1: dollar will continue to weaken. Most of that is based 301 00:17:04,720 --> 00:17:06,680 Speaker 1: on the fact that we think that the FED is 302 00:17:06,800 --> 00:17:09,719 Speaker 1: further ahead in terms of the rate trajectory path than 303 00:17:09,880 --> 00:17:11,560 Speaker 1: either the E C B or the B O J. 304 00:17:12,200 --> 00:17:14,359 Speaker 1: And so we think as we continue throughout the duration 305 00:17:14,440 --> 00:17:16,520 Speaker 1: of the year and we start to see interest rate 306 00:17:16,520 --> 00:17:20,800 Speaker 1: differentials converge, that will drive the dollar weaker versus our 307 00:17:20,920 --> 00:17:25,479 Speaker 1: d d M counterparts. However, versus emerging markets. We think 308 00:17:25,520 --> 00:17:28,480 Speaker 1: that the emerging markets are again structurally underweight, and so 309 00:17:28,600 --> 00:17:30,920 Speaker 1: we think that E M will also outperform the dollar. 310 00:17:31,320 --> 00:17:34,560 Speaker 1: In the near term. We are running fairly neutral in 311 00:17:34,680 --> 00:17:37,879 Speaker 1: terms of our overall dollar exposure, but we do expect 312 00:17:37,960 --> 00:17:39,960 Speaker 1: that as we move into the second half of the year, 313 00:17:40,240 --> 00:17:43,959 Speaker 1: we will start putting on fairly significant dollar underweights. Again, UM, 314 00:17:44,040 --> 00:17:45,480 Speaker 1: I want to I want to just pick up on 315 00:17:45,560 --> 00:17:47,320 Speaker 1: one thing that you said, where you were saying, you know, 316 00:17:48,080 --> 00:17:50,440 Speaker 1: perhaps for we're taking a weight and see approach, but 317 00:17:50,680 --> 00:17:53,960 Speaker 1: nibbling around the edges and sectors that we like. What 318 00:17:54,160 --> 00:17:57,119 Speaker 1: sectors are those? And I'm thinking is that tech? Are 319 00:17:57,160 --> 00:17:59,440 Speaker 1: you out there buying Facebook when face fit goes down? 320 00:17:59,680 --> 00:18:02,080 Speaker 1: So we leg tech as a sector right now. We 321 00:18:02,240 --> 00:18:05,760 Speaker 1: do think that the earnings fundamental picture for tech is 322 00:18:05,800 --> 00:18:09,240 Speaker 1: still very strongly And are you gonna be watching Mark 323 00:18:09,320 --> 00:18:12,880 Speaker 1: Zuckerberg next week? Absolutely. But but but I also think 324 00:18:13,320 --> 00:18:16,400 Speaker 1: you know, what's interesting about this is that you actually 325 00:18:16,520 --> 00:18:19,960 Speaker 1: may see a comparative advantage for the larger tech the 326 00:18:20,080 --> 00:18:24,080 Speaker 1: larger cap tech companies who are able to appropriately size 327 00:18:24,160 --> 00:18:28,400 Speaker 1: their their staff in order to potentially deal with higher regulation. 328 00:18:28,720 --> 00:18:30,760 Speaker 1: So if you think about small cap tech, they may 329 00:18:30,840 --> 00:18:34,200 Speaker 1: not have the resources to appropriately put the governance and 330 00:18:34,280 --> 00:18:37,040 Speaker 1: the compliance structures in place, similar to what we saw 331 00:18:37,160 --> 00:18:40,639 Speaker 1: with the banking sector several years ago UM. And so 332 00:18:40,960 --> 00:18:44,680 Speaker 1: going forward, actually, these big tech companies actually have the 333 00:18:44,760 --> 00:18:49,760 Speaker 1: capabilities to potentially, you know, sort of adapt themselves in 334 00:18:49,880 --> 00:18:52,400 Speaker 1: order to deal with the more compliance or regulatory heavy 335 00:18:52,480 --> 00:18:55,560 Speaker 1: industry to come bigger. If you're if you're adding to 336 00:18:55,720 --> 00:19:00,840 Speaker 1: let's say, emerging market positions, if you are adding whatever 337 00:19:00,920 --> 00:19:04,280 Speaker 1: valuation you feel appropriate to technology holdings, what are you 338 00:19:04,400 --> 00:19:08,040 Speaker 1: selling or what are you diminishing in the asset allocation 339 00:19:08,200 --> 00:19:12,399 Speaker 1: model in order to bring up those portions of the portfolio. Right, So, 340 00:19:12,760 --> 00:19:16,480 Speaker 1: overall we've decreased our equity weight somewhat, and that that's 341 00:19:16,560 --> 00:19:18,639 Speaker 1: really broad sector equity weight. So if you think of 342 00:19:18,720 --> 00:19:21,160 Speaker 1: just sort of our broad market beta to the SMP 343 00:19:21,320 --> 00:19:25,440 Speaker 1: five hundred UM, we don't as an asset management firm 344 00:19:25,480 --> 00:19:28,960 Speaker 1: we and and in the multi asset space we predominantly 345 00:19:29,040 --> 00:19:31,879 Speaker 1: by e T F s or futures or sectors. We 346 00:19:32,000 --> 00:19:36,159 Speaker 1: don't buy individual companies, um, So that's that we're selling 347 00:19:36,200 --> 00:19:39,159 Speaker 1: down some of our SMP weight. We've also started to 348 00:19:39,240 --> 00:19:42,040 Speaker 1: sell down some of our European equity overweight, which we 349 00:19:42,160 --> 00:19:44,720 Speaker 1: had been running overweight for the last six months. That 350 00:19:44,920 --> 00:19:47,439 Speaker 1: hasn't performed as we would have expected if you started 351 00:19:47,480 --> 00:19:49,720 Speaker 1: to see some of the economic data rolling over. So 352 00:19:49,840 --> 00:19:51,879 Speaker 1: we've lightened our risk a little bit there. And then 353 00:19:51,920 --> 00:19:54,480 Speaker 1: one of the most significant changes is we've also started 354 00:19:54,520 --> 00:19:57,120 Speaker 1: to sell down some of our Japanese equity overweight as well. 355 00:19:59,000 --> 00:20:02,720 Speaker 1: It's interesting, especially since you're going into the end. One 356 00:20:02,760 --> 00:20:05,359 Speaker 1: thing that we've heard from a lot of investors is 357 00:20:05,400 --> 00:20:08,000 Speaker 1: that they've been increasing their allocation to treasuries, and you 358 00:20:08,040 --> 00:20:10,280 Speaker 1: said that you were as well, although not necessarily on 359 00:20:10,359 --> 00:20:13,120 Speaker 1: the long end, but on the short end of the curve. Basically, 360 00:20:13,320 --> 00:20:16,360 Speaker 1: now that you're actually getting yield onto your treasuries, it's 361 00:20:16,359 --> 00:20:18,840 Speaker 1: a great time, do you agree, I mean, is that 362 00:20:18,880 --> 00:20:21,679 Speaker 1: sort of a great holding spot. So for for us, 363 00:20:21,760 --> 00:20:24,600 Speaker 1: we actually think the longer end for asset managers as 364 00:20:24,640 --> 00:20:26,960 Speaker 1: a better holding spot. And that's because a you get 365 00:20:27,040 --> 00:20:29,600 Speaker 1: incremental yield, but also when you look at the stock 366 00:20:29,680 --> 00:20:34,480 Speaker 1: bond correlation, it's the ten year yield oft historically has 367 00:20:34,560 --> 00:20:38,560 Speaker 1: offered a very good counterbalance to the equity, you know, 368 00:20:38,960 --> 00:20:41,080 Speaker 1: risk that you're holding in your portfolio. So as a 369 00:20:41,119 --> 00:20:44,800 Speaker 1: diversifier of risk over the long to medium term, the 370 00:20:44,880 --> 00:20:48,800 Speaker 1: tenure bond actually in portfolios works very well to diversify 371 00:20:48,920 --> 00:20:52,040 Speaker 1: out some of the equity risk. And so typically you 372 00:20:52,200 --> 00:20:57,000 Speaker 1: see that as a is a minimizes the overall portfolio 373 00:20:57,200 --> 00:21:00,720 Speaker 1: risk in our asset allocation models pretty significantly. Even though 374 00:21:00,840 --> 00:21:04,200 Speaker 1: you've seen that that stock bond correlation start to move 375 00:21:04,359 --> 00:21:07,800 Speaker 1: less negative, it's still in negative territory and it still 376 00:21:08,160 --> 00:21:13,320 Speaker 1: is I think a very appropriate asset for diversified portfolio holdings. 377 00:21:13,920 --> 00:21:16,159 Speaker 1: Just quickly as an something that's got a lot of 378 00:21:16,240 --> 00:21:18,040 Speaker 1: experience in the world of hedge funds, I'm sure you 379 00:21:18,160 --> 00:21:22,360 Speaker 1: noted the Pershing Square capital and the redemptions. There any 380 00:21:22,440 --> 00:21:24,320 Speaker 1: thoughts on what you can see for hedge funds this 381 00:21:24,560 --> 00:21:28,680 Speaker 1: uh this year, So I think for so what we've 382 00:21:28,720 --> 00:21:31,600 Speaker 1: actually started to see is active management as a factor 383 00:21:31,880 --> 00:21:34,639 Speaker 1: has started to do better. Um, we've been in you know, 384 00:21:34,720 --> 00:21:37,000 Speaker 1: sort of four to five years where active management has 385 00:21:37,040 --> 00:21:40,320 Speaker 1: greatly underperformed passive management. As a result of that, you've 386 00:21:40,320 --> 00:21:43,960 Speaker 1: seen hedge funds and active managers suffer pretty significantly. I 387 00:21:44,160 --> 00:21:47,280 Speaker 1: think what you're starting to see now is that active 388 00:21:47,320 --> 00:21:49,760 Speaker 1: managers with the right business model are now starting to 389 00:21:49,840 --> 00:21:52,760 Speaker 1: do quite well, and you saw them actually outperform in 390 00:21:52,880 --> 00:21:56,520 Speaker 1: the most recent period of volatility. Historically, during periods of 391 00:21:56,600 --> 00:22:01,240 Speaker 1: higher volatility, active management outperforms. So we like active management here. 392 00:22:01,520 --> 00:22:03,560 Speaker 1: Thanks very much for being with us. Aaron Brown is 393 00:22:03,560 --> 00:22:06,960 Speaker 1: the head of asset Allocation for u Bsset Management, helping 394 00:22:07,000 --> 00:22:09,960 Speaker 1: to manage within seven hundred and seventy billion dollars of 395 00:22:10,040 --> 00:22:29,600 Speaker 1: customer assets. Since George Korean became the president chief executive 396 00:22:29,600 --> 00:22:32,959 Speaker 1: officer of net App in mid two thousand and fifteen, 397 00:22:33,520 --> 00:22:37,359 Speaker 1: this data storage company's stock has gained more than a 398 00:22:37,480 --> 00:22:41,960 Speaker 1: hundred and sixteen per cent. George Korean joins us now 399 00:22:42,119 --> 00:22:45,480 Speaker 1: along with our own Non sinof Sven, who is a 400 00:22:45,880 --> 00:22:49,280 Speaker 1: senior semiconductor and hardware analyst for Bloomberg Intelligence. George, I 401 00:22:49,359 --> 00:22:51,840 Speaker 1: want to just start with you and ask, you know, 402 00:22:52,200 --> 00:22:55,119 Speaker 1: can you give us just a short overview of what's 403 00:22:55,119 --> 00:22:58,439 Speaker 1: happened at the company, what the company is, and how 404 00:22:58,480 --> 00:23:02,240 Speaker 1: it's transformed since you took office. We are a company 405 00:23:02,320 --> 00:23:09,080 Speaker 1: that enables customers to use data for business advantage. Increasingly, 406 00:23:09,280 --> 00:23:13,320 Speaker 1: trends like the hybrid cloud or artificial intelligence and machine 407 00:23:13,440 --> 00:23:18,760 Speaker 1: learning depend on sophisticated data management capabilities to allow businesses 408 00:23:19,280 --> 00:23:23,359 Speaker 1: to operate efficiently and productively in service of their customers, 409 00:23:23,880 --> 00:23:27,360 Speaker 1: and net app is the data authority for these trends. 410 00:23:27,560 --> 00:23:31,800 Speaker 1: We have superior technology, attract record of working with the 411 00:23:31,880 --> 00:23:36,240 Speaker 1: world's leading institutions, as well as increasingly endorsed by the 412 00:23:36,280 --> 00:23:39,760 Speaker 1: biggest hyper scala cloud providers. So Ananata Bus and I 413 00:23:39,800 --> 00:23:41,480 Speaker 1: want to just bring you in here. Can you give 414 00:23:41,520 --> 00:23:45,320 Speaker 1: us sort of an overview of where this data storage 415 00:23:45,400 --> 00:23:47,280 Speaker 1: industry is right now? Where are something like what's the 416 00:23:47,320 --> 00:23:50,520 Speaker 1: biggest challenge right now for it? Great? Thanks, So, one 417 00:23:50,560 --> 00:23:53,399 Speaker 1: of the biggest trends in data storage overall, if you 418 00:23:53,440 --> 00:23:57,320 Speaker 1: look at network storage systems, that market is shrinking. But 419 00:23:57,400 --> 00:24:00,640 Speaker 1: one of the things that NetApp has done and transformed 420 00:24:00,680 --> 00:24:03,119 Speaker 1: itself is it is the only company in our minds 421 00:24:03,240 --> 00:24:05,880 Speaker 1: that has become relevant to the public cloud model. They're 422 00:24:05,920 --> 00:24:10,080 Speaker 1: transforming themselves from a legacy network storage provider to a 423 00:24:10,200 --> 00:24:15,119 Speaker 1: company that is cloud biased, increasingly software based, and increasingly 424 00:24:15,240 --> 00:24:19,120 Speaker 1: new technology based away from spinning disks to more all 425 00:24:19,240 --> 00:24:22,120 Speaker 1: flash arrays. So if you put all of those things together, 426 00:24:22,720 --> 00:24:26,920 Speaker 1: this is a company that is pivoted itself pretty aggressively 427 00:24:27,640 --> 00:24:33,000 Speaker 1: successfully over the past three years. And and I have 428 00:24:33,080 --> 00:24:36,080 Speaker 1: to give credit or creditors due George is responsible for 429 00:24:36,119 --> 00:24:39,399 Speaker 1: a substantial portion of that. George, maybe just delve a 430 00:24:39,480 --> 00:24:43,560 Speaker 1: little bit into the actual technology something called fabric attached 431 00:24:44,359 --> 00:24:48,600 Speaker 1: storage as well as all flash storage, and maybe just 432 00:24:48,760 --> 00:24:51,200 Speaker 1: explain it and offer it as a story so that 433 00:24:51,280 --> 00:24:54,879 Speaker 1: people understand when they are using the data either that 434 00:24:55,000 --> 00:24:58,240 Speaker 1: their company is able to create internally or that they 435 00:24:58,320 --> 00:25:02,959 Speaker 1: received from their customer base. M companies want to aggregate 436 00:25:03,160 --> 00:25:07,560 Speaker 1: large amounts of data to understand their customers better, to 437 00:25:07,800 --> 00:25:11,159 Speaker 1: understand their own business performance better, and to do that 438 00:25:11,400 --> 00:25:17,879 Speaker 1: they connect different computing systems to common network connected storage. 439 00:25:18,560 --> 00:25:23,080 Speaker 1: Those network connected storage systems were historically within the company's 440 00:25:23,160 --> 00:25:26,760 Speaker 1: data center. What customers want to do now increasingly is 441 00:25:26,840 --> 00:25:30,800 Speaker 1: to use storage that's available in the public cloud. And 442 00:25:31,000 --> 00:25:34,040 Speaker 1: what we uniquely in the industry do is to be 443 00:25:34,119 --> 00:25:38,160 Speaker 1: able to make all of those locations where people want 444 00:25:38,240 --> 00:25:43,880 Speaker 1: to use data seamlessly integrated. We call that idea data fabric, 445 00:25:44,119 --> 00:25:47,520 Speaker 1: and it's growing very quickly as a percentage of our business. 446 00:25:49,040 --> 00:25:51,119 Speaker 1: You know. One of the things that's also impressive is 447 00:25:51,200 --> 00:25:54,760 Speaker 1: the fact that this is a company that is very 448 00:25:54,840 --> 00:25:58,399 Speaker 1: differentiated versus legacy I T providers such as Dell, EMC 449 00:25:58,800 --> 00:26:03,120 Speaker 1: or HP Enterprise. Perhaps UM George, you could you could 450 00:26:03,160 --> 00:26:07,639 Speaker 1: sort of honing on sort of the differences. Why is 451 00:26:07,760 --> 00:26:11,120 Speaker 1: net app different? I think one of the unique things 452 00:26:11,280 --> 00:26:14,200 Speaker 1: that we are focused on is being the world's best 453 00:26:14,800 --> 00:26:17,800 Speaker 1: at the problem of data management, which is not only 454 00:26:17,920 --> 00:26:23,480 Speaker 1: increasingly business critical but also more complex. So we can 455 00:26:23,600 --> 00:26:27,639 Speaker 1: partner effectively with the cloud providers, we can partner with 456 00:26:27,840 --> 00:26:32,760 Speaker 1: software companies, we can partner with chip manufacturers to build 457 00:26:32,880 --> 00:26:36,560 Speaker 1: the best solutions for our customers. And we are entirely 458 00:26:36,640 --> 00:26:39,960 Speaker 1: focused on that problem. And that's why, as a percentage 459 00:26:40,000 --> 00:26:44,800 Speaker 1: of our business, the new technologies, which we call strategic solutions, 460 00:26:45,240 --> 00:26:49,280 Speaker 1: are now seventy of net product revenue and are growing 461 00:26:49,400 --> 00:26:53,159 Speaker 1: twent year on year. It represents the power of our 462 00:26:53,240 --> 00:26:57,320 Speaker 1: new technology portfolio. How concerned are you about the protection 463 00:26:57,640 --> 00:27:02,640 Speaker 1: of data against breaches or hacks or inappropriate usage? Considering 464 00:27:03,240 --> 00:27:06,160 Speaker 1: how much focused there is on that These days, it's 465 00:27:06,160 --> 00:27:10,440 Speaker 1: an absolutely important challenge that we help our customers deal with. 466 00:27:11,640 --> 00:27:15,960 Speaker 1: Data is the lifeblood of a digital organization and being 467 00:27:16,040 --> 00:27:19,320 Speaker 1: a steward of that is something that our customers stake 468 00:27:19,440 --> 00:27:22,800 Speaker 1: as a core part of their mission. We provide them 469 00:27:22,880 --> 00:27:27,359 Speaker 1: with tools and technology that enables them to accomplish their mission. 470 00:27:27,480 --> 00:27:29,880 Speaker 1: What's your biggest fear when it comes to data security? 471 00:27:30,840 --> 00:27:36,359 Speaker 1: I think it's malicious insiders that have access to data 472 00:27:37,040 --> 00:27:42,959 Speaker 1: to support a business's mission now becoming opposed to that mission. Right, 473 00:27:43,080 --> 00:27:46,480 Speaker 1: So it's very very hard for companies to be able 474 00:27:46,560 --> 00:27:51,560 Speaker 1: to protect their resources from internal attack, and those internal 475 00:27:51,600 --> 00:27:56,920 Speaker 1: attacks now take on state sponsored agents, for example. And 476 00:27:57,040 --> 00:28:00,280 Speaker 1: so we continue to work with the industry to build 477 00:28:00,359 --> 00:28:04,560 Speaker 1: more and more capabilities to not only provide customers with 478 00:28:04,800 --> 00:28:08,040 Speaker 1: ideas of who is accessing the data, but when and 479 00:28:08,119 --> 00:28:12,480 Speaker 1: where they are accessing it from. They had their handless 480 00:28:12,560 --> 00:28:15,440 Speaker 1: day yesterday and they sent a very upbeat message both 481 00:28:15,480 --> 00:28:17,920 Speaker 1: in terms of top line and bottom line growth. So 482 00:28:18,000 --> 00:28:21,800 Speaker 1: in this era, from a from a technology legacy technology 483 00:28:21,840 --> 00:28:25,440 Speaker 1: hardware perspective, where trends are generally deficionary, this is a 484 00:28:25,480 --> 00:28:28,760 Speaker 1: company that is going to grow conservatively at the mid 485 00:28:28,840 --> 00:28:30,720 Speaker 1: single digit on the top line and earnings growth the 486 00:28:30,720 --> 00:28:34,440 Speaker 1: word about so I thought there was a great upbeat 487 00:28:34,640 --> 00:28:39,760 Speaker 1: message that that net app sent on its handless stay. 488 00:28:40,400 --> 00:28:43,880 Speaker 1: Thank you. We feel bullish about our prospects. Yesterday we 489 00:28:44,000 --> 00:28:48,160 Speaker 1: talked about growth top line growth in the mid single digits, 490 00:28:48,200 --> 00:28:52,080 Speaker 1: which represents both share gain in our existing markets at 491 00:28:52,120 --> 00:28:55,520 Speaker 1: the expense of legacy competitors, as well as the addition 492 00:28:55,600 --> 00:28:59,920 Speaker 1: of new markets like the cloud. It reflects the discipline 493 00:29:00,040 --> 00:29:03,480 Speaker 1: our operating model, where we are raising our guidance for 494 00:29:03,600 --> 00:29:09,400 Speaker 1: operating margin from where it is today to reflecting an 495 00:29:09,480 --> 00:29:13,320 Speaker 1: increased focus on the best markets and an increasing contribution 496 00:29:13,400 --> 00:29:19,400 Speaker 1: from software or our portfolio, and earnings leverage by big UH, 497 00:29:19,840 --> 00:29:23,840 Speaker 1: commitment to capital returns through doubling our dividend and a 498 00:29:23,920 --> 00:29:27,640 Speaker 1: new authorization for four billion dollars in buy back on 499 00:29:27,800 --> 00:29:31,120 Speaker 1: a trade of Austin as our senior semiconductor hardware analyst 500 00:29:31,160 --> 00:29:34,880 Speaker 1: from Bloomberg Intelligence, I keep hearing about how storage is 501 00:29:34,960 --> 00:29:40,080 Speaker 1: a commodity. How does something like net app uh evade 502 00:29:40,200 --> 00:29:43,960 Speaker 1: the commodity trap? Is it through their software, through the 503 00:29:44,080 --> 00:29:47,240 Speaker 1: use of on tap? What makes it happen? You answered 504 00:29:47,240 --> 00:29:50,240 Speaker 1: the question, your storage is the commodity? Absolutely So what 505 00:29:50,560 --> 00:29:53,240 Speaker 1: value add can you provide on top of that storage 506 00:29:53,240 --> 00:29:57,240 Speaker 1: system is what makes it differentiated, what makes it key. Right, 507 00:29:57,880 --> 00:30:00,800 Speaker 1: anybody can sell your disk, anybody can sell you sew 508 00:30:00,840 --> 00:30:03,880 Speaker 1: this data race. But the value and comes from the software. 509 00:30:04,400 --> 00:30:07,360 Speaker 1: And again it's it needs to be consistent with its 510 00:30:07,400 --> 00:30:10,400 Speaker 1: storage as in house or in a public cloud, or 511 00:30:10,720 --> 00:30:13,840 Speaker 1: somewhere in between, a composite of all of those. The 512 00:30:13,920 --> 00:30:16,600 Speaker 1: software is what drives the architecture. All right, well done, 513 00:30:16,680 --> 00:30:18,600 Speaker 1: Thanks very much a gentleman for coming in on a 514 00:30:18,680 --> 00:30:21,200 Speaker 1: train of us and as our senior semiconductor and hardware 515 00:30:21,240 --> 00:30:25,120 Speaker 1: analyst for Bloomberg Intelligence, and our thanks also to George Curran. 516 00:30:25,240 --> 00:30:29,240 Speaker 1: He is the president and the chief executive of NetApp. 517 00:30:29,760 --> 00:30:32,880 Speaker 1: Coming up on Bloomberg Markets and we're gonna be talking 518 00:30:33,080 --> 00:30:36,600 Speaker 1: about municipal bonds. We've got Joe Maisak, editor for the 519 00:30:36,720 --> 00:30:40,840 Speaker 1: Municipal bond brief for Bloomberg Briefs. I'm pim Fox, my 520 00:30:41,000 --> 00:30:48,120 Speaker 1: co host Lisa Abramwitz. This is Bloomberg. Thanks for listening 521 00:30:48,200 --> 00:30:51,040 Speaker 1: to the Bloomberg P and L podcast. You can subscribe 522 00:30:51,080 --> 00:30:54,640 Speaker 1: and listen to interviews at Apple Podcasts, SoundCloud, or whatever 523 00:30:54,720 --> 00:30:58,200 Speaker 1: podcast platform you prefer. I'm pim Fox. I'm on Twitter 524 00:30:58,520 --> 00:31:02,040 Speaker 1: at pim Fox. I'm on Twitter at Lisa Abramo. It's 525 00:31:02,080 --> 00:31:05,080 Speaker 1: one before the podcast. You can always catch us worldwide 526 00:31:05,120 --> 00:31:06,040 Speaker 1: on Bloomberg Radio