1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma. With 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 Penil 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 --> 00:00:21,480 Speaker 1: at Bloomberg dot com. Well, the economists and strategists are 8 00:00:21,520 --> 00:00:25,200 Speaker 1: trying to really calculate the impact the economic impact that 9 00:00:25,280 --> 00:00:28,720 Speaker 1: the coronavirus will have on global GDP going forward, but 10 00:00:28,760 --> 00:00:30,800 Speaker 1: certainly one of the industries that is most at risk 11 00:00:30,880 --> 00:00:33,960 Speaker 1: is the global technology space. We heard Doug, Greg, Jared, 12 00:00:34,040 --> 00:00:36,959 Speaker 1: you're talking about Apple and Fox Console. Let's start there. 13 00:00:37,000 --> 00:00:41,120 Speaker 1: John Butler, Senior Telecom Service and Equipment Animals for Bloomberg Intelligence. 14 00:00:41,120 --> 00:00:43,640 Speaker 1: He joins us here on our Bloomberg Interactive Broker Studio. 15 00:00:43,680 --> 00:00:45,800 Speaker 1: So John, let's start with Apple, because that's kind of 16 00:00:45,800 --> 00:00:48,400 Speaker 1: always the poster child I think if you will for 17 00:00:49,000 --> 00:00:53,280 Speaker 1: dependence upon China and supply chain and you know kind 18 00:00:53,280 --> 00:00:55,920 Speaker 1: of it sells into China, sources out of China. Give 19 00:00:55,960 --> 00:00:57,680 Speaker 1: us a sense of what's going on with Apple with 20 00:00:57,800 --> 00:00:59,560 Speaker 1: fox Con and kind of how you think this is 21 00:00:59,600 --> 00:01:04,280 Speaker 1: going to play out. So I think the I think 22 00:01:04,360 --> 00:01:06,680 Speaker 1: Apple is in a little bit of trouble for the 23 00:01:06,760 --> 00:01:10,600 Speaker 1: current quarter. So fox Com, which is the main manufacturer 24 00:01:10,720 --> 00:01:16,119 Speaker 1: the iPhone um, has had its factories closed up until now. 25 00:01:16,480 --> 00:01:20,080 Speaker 1: Apparently this morning ten of the workforce is back at 26 00:01:20,160 --> 00:01:23,560 Speaker 1: one of two factories. But we've had a delay in 27 00:01:23,600 --> 00:01:26,400 Speaker 1: the opening after the Lunar New Year, and I think 28 00:01:26,400 --> 00:01:30,399 Speaker 1: those delays are going to continue as Beijing continues to 29 00:01:30,520 --> 00:01:34,200 Speaker 1: really try to try and lock down this virus by 30 00:01:34,440 --> 00:01:39,600 Speaker 1: limiting people's travel and in instituting quarantines before people can 31 00:01:39,600 --> 00:01:42,680 Speaker 1: get back to work and so forth. There's a difference 32 00:01:42,720 --> 00:01:46,720 Speaker 1: between a short term disruption where the demand for the 33 00:01:46,760 --> 00:01:49,480 Speaker 1: iPhone picks up right away as soon as people can 34 00:01:49,520 --> 00:01:51,200 Speaker 1: go back to the stores and as soon as production 35 00:01:51,280 --> 00:01:55,520 Speaker 1: ramps up, and a longer term disruption that actually has 36 00:01:55,560 --> 00:01:59,440 Speaker 1: a more material effect on the business overall. What's that 37 00:01:59,520 --> 00:02:03,640 Speaker 1: tipping point here for Apple? Well, I think Apple and 38 00:02:03,720 --> 00:02:07,240 Speaker 1: fox Con have both been sort of talking about moving 39 00:02:07,280 --> 00:02:11,320 Speaker 1: beyond China. There are lower cost regions in terms of 40 00:02:11,960 --> 00:02:16,799 Speaker 1: cost of production. China is getting relatively more expensive, and 41 00:02:16,880 --> 00:02:20,280 Speaker 1: I think Apple's lack of diversification in terms of where 42 00:02:20,280 --> 00:02:24,240 Speaker 1: it makes the iPhone. UH is really biting them here, 43 00:02:24,280 --> 00:02:28,400 Speaker 1: and it's a reminder that they need to diversify geographically 44 00:02:28,520 --> 00:02:32,240 Speaker 1: perhaps in terms of where they make the iPhone. So 45 00:02:32,360 --> 00:02:35,360 Speaker 1: what has Apple said, What have they said publicly about 46 00:02:35,400 --> 00:02:37,400 Speaker 1: the financial impact here? Again they get I don't know 47 00:02:37,680 --> 00:02:41,400 Speaker 1: their sales are in China. They make make most of 48 00:02:41,400 --> 00:02:43,639 Speaker 1: their stuff in China that they sell around the world. 49 00:02:43,720 --> 00:02:45,800 Speaker 1: This seems to me like it could be more than 50 00:02:45,840 --> 00:02:48,000 Speaker 1: a one quarter thing because it's gonna take a off 51 00:02:48,040 --> 00:02:50,520 Speaker 1: of these factors to get ramped up again and build 52 00:02:50,560 --> 00:02:53,160 Speaker 1: inventory and distributed and all that kind of stuff. Yeah, 53 00:02:53,200 --> 00:02:56,040 Speaker 1: I mean that's my concern, Paul, as I think this 54 00:02:56,800 --> 00:03:00,720 Speaker 1: illness now is going global. So in terms of the 55 00:03:00,760 --> 00:03:03,720 Speaker 1: impact in China, I think it's sort of confined to 56 00:03:03,880 --> 00:03:07,119 Speaker 1: let's say, the next next month or so. But more 57 00:03:07,360 --> 00:03:11,600 Speaker 1: broadly speaking, you know, for Apple, you know, there's a 58 00:03:11,639 --> 00:03:15,000 Speaker 1: concern that people aren't going out to the retail stores 59 00:03:15,040 --> 00:03:18,640 Speaker 1: as much, so I think they'll be. My opinion is 60 00:03:18,760 --> 00:03:21,959 Speaker 1: we'll see an impact in the second quarter, but if 61 00:03:22,000 --> 00:03:25,720 Speaker 1: it continues to spread globally, I think it potentially could 62 00:03:25,760 --> 00:03:28,840 Speaker 1: spill out over into third quarter. And I need to 63 00:03:28,880 --> 00:03:32,600 Speaker 1: say one thing. The company continues to say that they 64 00:03:32,720 --> 00:03:37,360 Speaker 1: factored this impact into their latest guidance, So coronavirus risk 65 00:03:37,520 --> 00:03:40,800 Speaker 1: was already an issue when they set the guidance for 66 00:03:40,880 --> 00:03:45,000 Speaker 1: the current quarter, but it has since gotten worse. One 67 00:03:45,000 --> 00:03:47,880 Speaker 1: thing that this uh The situation has really highlighted for 68 00:03:47,920 --> 00:03:50,160 Speaker 1: me is just how much of an engine China is 69 00:03:50,400 --> 00:03:53,320 Speaker 1: in terms of production of electronic parts. I mean, it's 70 00:03:53,360 --> 00:03:57,440 Speaker 1: just such a massive source of all of these products. 71 00:03:57,480 --> 00:04:00,720 Speaker 1: Can you give us any kind of size as his scopes, 72 00:04:00,880 --> 00:04:04,440 Speaker 1: any any kind of understanding of just how crucial not 73 00:04:04,480 --> 00:04:07,200 Speaker 1: only China, but in particular Wuhan, which is the hardest 74 00:04:07,240 --> 00:04:11,040 Speaker 1: hit area is for these types of products. It's hard 75 00:04:11,080 --> 00:04:14,160 Speaker 1: to say. Les. You know, the global supply chain is 76 00:04:14,280 --> 00:04:18,880 Speaker 1: so huge, and it's so diverse, and it's been diversifying geographically, 77 00:04:18,960 --> 00:04:21,400 Speaker 1: but I think you hit the nail on the head. 78 00:04:21,520 --> 00:04:25,800 Speaker 1: China is still the world's factory floor. So for Apple, 79 00:04:25,880 --> 00:04:30,440 Speaker 1: even beyond han Hai, there are other manufacturers for them 80 00:04:30,520 --> 00:04:35,360 Speaker 1: in China that are being impacted by coronavirus. In terms 81 00:04:35,520 --> 00:04:39,840 Speaker 1: of pegging an actual number onto what what percent of 82 00:04:40,000 --> 00:04:45,640 Speaker 1: total global electronic manufacturing is in China, it's anyone's gas, 83 00:04:45,640 --> 00:04:48,599 Speaker 1: I'll throw out seventy as a guest in it. But 84 00:04:48,720 --> 00:04:52,480 Speaker 1: I I actually have no idea. I've never really run 85 00:04:52,520 --> 00:04:55,279 Speaker 1: the numbers. So so John, one of the things for Apple, 86 00:04:55,360 --> 00:04:59,720 Speaker 1: the bookcases five G. Is there any risk to this 87 00:05:00,279 --> 00:05:04,280 Speaker 1: manufacturing supply chain issue impacting what could be a this 88 00:05:04,400 --> 00:05:08,000 Speaker 1: five G story building for Apple? Not yet, Paul. You know, 89 00:05:08,080 --> 00:05:10,839 Speaker 1: they typically need a couple of months of lead time 90 00:05:10,839 --> 00:05:14,440 Speaker 1: in terms of building the new devices. That would put 91 00:05:14,560 --> 00:05:17,680 Speaker 1: us in July in terms of the start of production, 92 00:05:17,839 --> 00:05:22,359 Speaker 1: maybe even mid June conservatively, And I think at least 93 00:05:22,360 --> 00:05:24,919 Speaker 1: in China we're going to be clear of this crisis 94 00:05:25,000 --> 00:05:28,960 Speaker 1: by then. The real issue is Apple is reportedly going 95 00:05:29,040 --> 00:05:32,760 Speaker 1: to launch the iPhone nine, a low cost sequel to 96 00:05:32,839 --> 00:05:36,840 Speaker 1: the iPhone se if you remember that one priced at 97 00:05:36,880 --> 00:05:40,599 Speaker 1: three and that was going to have a March launched date, 98 00:05:40,680 --> 00:05:44,960 Speaker 1: according to Bloomberg. And so we'll see what happens there. 99 00:05:44,960 --> 00:05:47,719 Speaker 1: I have a feeling that's almost certainly going to get 100 00:05:47,760 --> 00:05:50,960 Speaker 1: pushed out by this, by this epidemic. You know, I 101 00:05:51,000 --> 00:05:53,479 Speaker 1: could just keep speaking with you, and one thing that 102 00:05:53,520 --> 00:05:55,159 Speaker 1: you said that when you walked in that really was 103 00:05:55,200 --> 00:05:59,120 Speaker 1: compelling to me, John, was about the factory floor, the 104 00:05:59,160 --> 00:06:01,600 Speaker 1: fox con to floor, and how they have to increase 105 00:06:01,640 --> 00:06:04,799 Speaker 1: the ventilation and make it safer for people to come back, 106 00:06:05,279 --> 00:06:07,560 Speaker 1: and what that will take in order to get the 107 00:06:07,600 --> 00:06:10,640 Speaker 1: sign off, And there are all these questions there. There 108 00:06:10,640 --> 00:06:13,000 Speaker 1: are a lot of little things you don't think about. 109 00:06:13,160 --> 00:06:19,039 Speaker 1: So when you're manufacturing the iPhone, you need really superior 110 00:06:19,160 --> 00:06:23,159 Speaker 1: ventilation to limit dust the risk of dust getting into 111 00:06:23,200 --> 00:06:27,680 Speaker 1: the devices. But that also that kind of system promotes 112 00:06:27,839 --> 00:06:30,640 Speaker 1: the spread of a virus, and so somehow they're going 113 00:06:30,680 --> 00:06:33,320 Speaker 1: to have to work out a solution to that, and 114 00:06:33,360 --> 00:06:36,120 Speaker 1: that I think is one of many small items that 115 00:06:36,800 --> 00:06:39,839 Speaker 1: we don't always think about. John Butler, thank you so much. 116 00:06:39,920 --> 00:06:43,120 Speaker 1: Always illuminating. John Butler, Senior Telecom Services and Equipment Analyst 117 00:06:43,200 --> 00:06:58,200 Speaker 1: for Bloomberg Intelligence, joining us here in our interactive broker studios. Well, 118 00:06:58,200 --> 00:07:00,680 Speaker 1: it's great, Jared said, you just can't keep a good 119 00:07:00,720 --> 00:07:04,359 Speaker 1: market down. We have the it's up a hundred and 120 00:07:04,360 --> 00:07:06,600 Speaker 1: twelve points, and it's you know, it's kind of shrugging 121 00:07:06,600 --> 00:07:09,440 Speaker 1: off the coronavirus. It appears, uh to help us get 122 00:07:09,440 --> 00:07:11,160 Speaker 1: a sense of what is going on at their Scott 123 00:07:11,200 --> 00:07:15,320 Speaker 1: Clemen's Chief Investment Strategies for Brown Brothers Harriman uh based 124 00:07:15,320 --> 00:07:18,040 Speaker 1: in Pittsburgh and actually in here in Bloomberg Inactor Broker Studio. 125 00:07:18,160 --> 00:07:20,280 Speaker 1: You're based in New York though York. Yeah, that's right, Yeah, 126 00:07:20,320 --> 00:07:23,280 Speaker 1: absolutely so, Scott, thanks for being on our studio again. 127 00:07:23,400 --> 00:07:25,680 Speaker 1: You know, at least night, earlier in the morning, we 128 00:07:25,680 --> 00:07:27,960 Speaker 1: were looking at commodities, and commodities are all down, the 129 00:07:28,040 --> 00:07:32,760 Speaker 1: medals are down and kind of reflecting presumably uncertain global 130 00:07:32,800 --> 00:07:37,280 Speaker 1: GDP growth exacerbated by the concerns of the coronavirus. No 131 00:07:37,480 --> 00:07:40,080 Speaker 1: such issue really with the equity markets. What do you 132 00:07:40,120 --> 00:07:42,520 Speaker 1: make of that? At the risk of dating myself, I'm 133 00:07:42,560 --> 00:07:44,920 Speaker 1: I've referred to this as the time x market. Remember 134 00:07:44,920 --> 00:07:47,400 Speaker 1: those old commercials that takes a licking and keeps on ticking. 135 00:07:47,600 --> 00:07:49,960 Speaker 1: Think about what this market has been confronted by just 136 00:07:50,000 --> 00:07:53,280 Speaker 1: in the past couple of months, between escalation of tensions 137 00:07:53,280 --> 00:07:55,240 Speaker 1: in the Middle East around your end, of course, the 138 00:07:55,280 --> 00:07:58,760 Speaker 1: presidential impeachment and trial, and now the coronavirus. I think 139 00:07:58,760 --> 00:08:01,200 Speaker 1: that investors are looking through all of this noise to 140 00:08:01,240 --> 00:08:05,800 Speaker 1: the underlying fundamental driver that is personal consumption. Sixty eight 141 00:08:06,160 --> 00:08:08,800 Speaker 1: of GDP is personal spending. As long as the labor 142 00:08:08,800 --> 00:08:11,360 Speaker 1: market is healthy, as long as the housing market is healthy, 143 00:08:11,400 --> 00:08:14,400 Speaker 1: that engine of economic activity and therefore earnings and therefore 144 00:08:14,440 --> 00:08:16,760 Speaker 1: the market is okay. I thought you were gonna say, 145 00:08:16,800 --> 00:08:19,760 Speaker 1: they're all looking at the under underlying driver, which is 146 00:08:19,920 --> 00:08:22,480 Speaker 1: the Federal Reserve helps, doesn't it? Well? I mean, but 147 00:08:22,640 --> 00:08:24,760 Speaker 1: how much is that? That sort of what's driving that? Well, 148 00:08:24,760 --> 00:08:27,080 Speaker 1: it's meaningful. I think of that as an insurance policy 149 00:08:27,120 --> 00:08:30,680 Speaker 1: of sorts. Not only the feds willingness to lower interest 150 00:08:30,800 --> 00:08:33,400 Speaker 1: rates last year and send the signal that they intend 151 00:08:33,440 --> 00:08:35,960 Speaker 1: to keep them so this year, but the balance sheet 152 00:08:36,000 --> 00:08:39,200 Speaker 1: operations as well. So you've got a fundamental backdrop of 153 00:08:39,200 --> 00:08:43,000 Speaker 1: a decent economic environment, not great, but durable, stable economic 154 00:08:43,080 --> 00:08:46,320 Speaker 1: environment with the insurance policy of easy monetary policy. That's 155 00:08:46,320 --> 00:08:50,080 Speaker 1: a pretty powerful combination. Alright. So again, we've, you know, 156 00:08:50,200 --> 00:08:53,520 Speaker 1: had such a great twenty nineteen, uh, even with some headwinds, 157 00:08:54,200 --> 00:08:58,520 Speaker 1: twenties a pretty solid start as well. What sectors should 158 00:08:58,520 --> 00:09:01,240 Speaker 1: we be looking at here, given that we're eleven years 159 00:09:01,320 --> 00:09:04,040 Speaker 1: or so into this economic cycle? Is it defensive? Do 160 00:09:04,200 --> 00:09:05,959 Speaker 1: I go back out on the risk curve? What am 161 00:09:05,960 --> 00:09:09,040 Speaker 1: I do? On the equity side? We like those equity 162 00:09:09,080 --> 00:09:13,400 Speaker 1: sectors in plays that depend on this underlying fundamental strength 163 00:09:13,520 --> 00:09:17,800 Speaker 1: in in the consumer, so consumer discretionary consumer staples. They're 164 00:09:17,840 --> 00:09:19,560 Speaker 1: sort of old fashioned what we used to call the 165 00:09:19,559 --> 00:09:22,680 Speaker 1: blue chips. They pay dividends. They're not terribly exciting or sexy. 166 00:09:22,720 --> 00:09:25,440 Speaker 1: They're not Tesla going up and down ten or fiftent 167 00:09:25,480 --> 00:09:28,280 Speaker 1: a day. But for investors who are interested in preservation 168 00:09:28,320 --> 00:09:31,360 Speaker 1: of wealth and long term accumulation of wealth, potentially with 169 00:09:31,480 --> 00:09:34,760 Speaker 1: some income needs on the side that healthy dividend yields 170 00:09:34,840 --> 00:09:37,200 Speaker 1: can meet, that's the sectors of the market where we 171 00:09:37,240 --> 00:09:39,400 Speaker 1: find the best value in the best long term place. 172 00:09:39,800 --> 00:09:41,680 Speaker 1: What about the Russell tooth Hausand I'm gonna throw this 173 00:09:41,720 --> 00:09:44,240 Speaker 1: at you because I harp on this every same day 174 00:09:44,360 --> 00:09:47,439 Speaker 1: I'm looking at it. It's the small cap small MidCap 175 00:09:47,520 --> 00:09:50,480 Speaker 1: shares that have underperformed down on the year, even as 176 00:09:50,520 --> 00:09:52,880 Speaker 1: you see new records on the sp and as yet, 177 00:09:53,000 --> 00:09:54,760 Speaker 1: and that's not a new thing. If you look at 178 00:09:54,760 --> 00:09:57,840 Speaker 1: the performance of large cap versus small cap domestic stocks 179 00:09:57,840 --> 00:10:00,520 Speaker 1: going about three years, five years, seven years, end years, 180 00:10:00,600 --> 00:10:03,840 Speaker 1: even the large caps have outpaced the small and medium 181 00:10:03,840 --> 00:10:07,319 Speaker 1: caps and and it surprises me. But what's the message 182 00:10:07,440 --> 00:10:09,960 Speaker 1: you Well, you would think in an environment in which 183 00:10:09,960 --> 00:10:14,120 Speaker 1: there are concerns about global trade well predating the coronavirus outbreak. 184 00:10:14,120 --> 00:10:16,319 Speaker 1: I mean, think of just the ongoing China U S 185 00:10:16,360 --> 00:10:20,120 Speaker 1: trade dispute. Domestic companies ought to be doing better than 186 00:10:20,200 --> 00:10:23,680 Speaker 1: than than companies with a big multinational exposure. So we 187 00:10:23,679 --> 00:10:26,560 Speaker 1: we have in our portfolios actually dialed up that smaller 188 00:10:26,600 --> 00:10:29,880 Speaker 1: MidCap exposure. We've also dialed up the non dollar exposure 189 00:10:29,920 --> 00:10:33,679 Speaker 1: as well, because non dollar assets, both emerging and international, 190 00:10:33,760 --> 00:10:37,000 Speaker 1: have vastly lagged the good old fashioned SNP five. So 191 00:10:37,040 --> 00:10:39,839 Speaker 1: we think increasingly that's where the value plays are. That's 192 00:10:39,840 --> 00:10:41,960 Speaker 1: not a barish call on the markets. It's just an 193 00:10:42,000 --> 00:10:44,760 Speaker 1: observation of where the bigger opportunities live. I'm glad you 194 00:10:44,800 --> 00:10:47,200 Speaker 1: mentioned emerging markets because we've been talking about that as 195 00:10:47,240 --> 00:10:49,040 Speaker 1: well this morning, and I'm looking to bring up the 196 00:10:49,080 --> 00:10:51,679 Speaker 1: five year chart of the MSCI Emerging Markets Index versus 197 00:10:52,000 --> 00:10:55,920 Speaker 1: the SMP five and clear underperformance and then underperformance even 198 00:10:56,120 --> 00:11:02,000 Speaker 1: widened out a little bit in what's the catalyst for 199 00:11:02,280 --> 00:11:05,360 Speaker 1: Can an emerging markets call work in a world where 200 00:11:05,360 --> 00:11:09,040 Speaker 1: we have trade tensions phase one, deal or notwithstanding, and 201 00:11:09,120 --> 00:11:11,280 Speaker 1: you know, maybe some kind of threat the global growth 202 00:11:11,320 --> 00:11:14,800 Speaker 1: from this exogenous factor I called the coronavirus it's it's hard, Paul, 203 00:11:14,840 --> 00:11:19,080 Speaker 1: because those are substantial obstacles to sentiment at least. But 204 00:11:19,120 --> 00:11:21,200 Speaker 1: if you look back even and and I don't have 205 00:11:21,240 --> 00:11:22,760 Speaker 1: it in front of me, but in a mind's eye, 206 00:11:22,760 --> 00:11:26,400 Speaker 1: over a ten year trailing period, the SP five large 207 00:11:26,400 --> 00:11:29,360 Speaker 1: cap us is outpaced emerging markets in dollars like for 208 00:11:29,400 --> 00:11:33,800 Speaker 1: like comparison by a thousand basis points annualized. That's an 209 00:11:33,800 --> 00:11:38,360 Speaker 1: extraordinary rate of performance differential. It doesn't necessarily mean their 210 00:11:38,440 --> 00:11:41,440 Speaker 1: valuation opportunities in the emerging world, but it's strongly hints 211 00:11:41,480 --> 00:11:43,880 Speaker 1: at it. The problem, of course, with a value based 212 00:11:43,960 --> 00:11:46,280 Speaker 1: investing approaches. As good as it is, and it's what 213 00:11:46,320 --> 00:11:48,199 Speaker 1: we do, it's our bread and butter, it's a horrible 214 00:11:48,240 --> 00:11:51,200 Speaker 1: timing tool because cheap things can get cheaper, and that's 215 00:11:51,240 --> 00:11:54,200 Speaker 1: been the story and emerging markets. But the valuation gap 216 00:11:54,240 --> 00:11:56,960 Speaker 1: between the developed world and the emerging world is wider 217 00:11:57,000 --> 00:12:00,240 Speaker 1: than it's been since the summer of and you have 218 00:12:00,280 --> 00:12:02,640 Speaker 1: to cast your memory back. But that was the sort 219 00:12:02,679 --> 00:12:04,679 Speaker 1: of getting close to the peak of the dot com 220 00:12:04,720 --> 00:12:07,319 Speaker 1: bubble here in the States, but rolling crises throughout the 221 00:12:07,400 --> 00:12:09,959 Speaker 1: rest of the world. Venezuelan debt crisis. Tai Bak crisis, 222 00:12:10,160 --> 00:12:13,439 Speaker 1: Russian debt pretty hard, horrible time for emerging echoties. We're 223 00:12:13,480 --> 00:12:16,320 Speaker 1: back to that level of gap between valuations of the 224 00:12:16,320 --> 00:12:20,440 Speaker 1: two markets. When does the coronavirus and more importantly, the 225 00:12:20,520 --> 00:12:24,840 Speaker 1: ripple effects from it economically becomes something more than noise 226 00:12:25,000 --> 00:12:28,720 Speaker 1: and potentially even change your thesis. It's a good question, 227 00:12:28,800 --> 00:12:32,240 Speaker 1: and the difficulty with that is as unpredictable as the 228 00:12:32,320 --> 00:12:35,840 Speaker 1: virus itself is. People's reaction to it is even more unpredictable. 229 00:12:35,880 --> 00:12:39,360 Speaker 1: Institutional reaction to it is more unpredictable. So not to 230 00:12:39,480 --> 00:12:43,319 Speaker 1: diminish the human tragedy of it, the decisions by various 231 00:12:43,360 --> 00:12:46,280 Speaker 1: governments to quarantine whole cities, to shut down air roots, 232 00:12:46,280 --> 00:12:48,720 Speaker 1: to shut down trade kind of the right thing to do. 233 00:12:48,800 --> 00:12:51,040 Speaker 1: You want to limit the susceptible part of the population 234 00:12:51,080 --> 00:12:53,360 Speaker 1: to the virus spread. But it will certainly punch a 235 00:12:53,360 --> 00:12:56,000 Speaker 1: hole in first quarter GDP. I think we'll get an 236 00:12:56,040 --> 00:12:59,000 Speaker 1: early indication of that from some Bell Weather companies. Mean 237 00:12:59,040 --> 00:13:02,400 Speaker 1: listen to not only earnings report, but interim reports from 238 00:13:02,480 --> 00:13:06,960 Speaker 1: fed X or UPS or inn Boeing on airport airplane orders, 239 00:13:07,000 --> 00:13:09,520 Speaker 1: certainly airlines themselves. We won't get the GDP numbers to 240 00:13:09,640 --> 00:13:13,480 Speaker 1: late April distant distant future from now. So we're listening 241 00:13:13,520 --> 00:13:17,680 Speaker 1: to the anecdotal information coming out of companies. So far, 242 00:13:17,840 --> 00:13:19,560 Speaker 1: we think it's sort of a tenth of a percent 243 00:13:19,640 --> 00:13:22,600 Speaker 1: two tenths of a percent hit to GDP domestic GDP 244 00:13:22,840 --> 00:13:25,320 Speaker 1: in the first quarter, but there's no question that if 245 00:13:25,320 --> 00:13:28,719 Speaker 1: the response to it exacerbates as exacerbated, the hit could 246 00:13:28,760 --> 00:13:32,840 Speaker 1: be bigger. It's an election year. Do we care historically 247 00:13:33,720 --> 00:13:37,680 Speaker 1: as equity investors? Historically no, But there's nothing about this 248 00:13:37,760 --> 00:13:41,360 Speaker 1: election that's historically normal. Um and and and part of 249 00:13:41,360 --> 00:13:44,319 Speaker 1: the challenge, Paul, is that the Democratic field in particular 250 00:13:44,440 --> 00:13:47,840 Speaker 1: is still so wide that we haven't really honed in 251 00:13:48,040 --> 00:13:51,680 Speaker 1: on what genuine policy proposals might be. So I could 252 00:13:51,679 --> 00:13:55,319 Speaker 1: certainly spend some time analyzing the most recent tax proposal 253 00:13:55,440 --> 00:13:58,040 Speaker 1: or trade proposal from any number of Democratic camps, but 254 00:13:58,080 --> 00:14:01,040 Speaker 1: at this point candidates are still lying for lanes. They're 255 00:14:01,040 --> 00:14:03,960 Speaker 1: still throwing more ideas out than there are actual policies, 256 00:14:04,240 --> 00:14:05,880 Speaker 1: so it's hard to tell. I think once we get 257 00:14:05,920 --> 00:14:09,520 Speaker 1: past probably not until Super Tuesday, will that field begin 258 00:14:09,600 --> 00:14:12,040 Speaker 1: to narrow to a point where we can actually analyze 259 00:14:12,080 --> 00:14:15,400 Speaker 1: what the likely implications are of a smaller handful of 260 00:14:15,400 --> 00:14:18,840 Speaker 1: potential democratic outcomes. There's no question in my mind, though, 261 00:14:18,840 --> 00:14:22,240 Speaker 1: that political developments this year could be the cause, or 262 00:14:22,240 --> 00:14:25,000 Speaker 1: at least the blame for a market correction the likes 263 00:14:25,000 --> 00:14:26,920 Speaker 1: of which we haven't seen since August of last year. 264 00:14:26,960 --> 00:14:29,280 Speaker 1: We'll sort of overdo one the blame for it. I 265 00:14:29,320 --> 00:14:32,040 Speaker 1: like the way you catch that. Scott Clemens, Uh, well 266 00:14:32,120 --> 00:14:35,760 Speaker 1: well crafted. Scott Clement's chief investment strategist at Brown Brothers Harriman, 267 00:14:36,160 --> 00:14:39,200 Speaker 1: overseeing about forty billion dollars, and he joins us here 268 00:14:39,280 --> 00:14:53,480 Speaker 1: in our interactive progress studios. One of the fallouts are 269 00:14:53,600 --> 00:14:56,720 Speaker 1: from the Senate acquittal of President Trump. As President Trump 270 00:14:56,760 --> 00:15:00,480 Speaker 1: has kind of, you know, seeking retribution on on those 271 00:15:00,520 --> 00:15:04,360 Speaker 1: that he feels were against him during the impeachment process. 272 00:15:04,360 --> 00:15:08,200 Speaker 1: We saw, uh on Friday, um, you know, two days 273 00:15:08,480 --> 00:15:11,160 Speaker 1: after being acquitted, Gordon Sunlin and announced that he had 274 00:15:11,200 --> 00:15:13,960 Speaker 1: been at outside as the US ambassador of the European Union. 275 00:15:14,360 --> 00:15:17,480 Speaker 1: Army Lieutenant Colonel Vidmann from the National Security Council also 276 00:15:17,640 --> 00:15:20,040 Speaker 1: let go. So lots of issues going on here as 277 00:15:20,080 --> 00:15:23,920 Speaker 1: it relates to kind of the fallout from the impeachment process. 278 00:15:24,000 --> 00:15:27,119 Speaker 1: To get some color, we welcome Clint Watts Clints, Distinguished 279 00:15:27,200 --> 00:15:29,960 Speaker 1: Research fell for the Farm Policy Research Institute, is also 280 00:15:30,000 --> 00:15:32,360 Speaker 1: a Senior Fellow at the Center for Cyber and Homeland 281 00:15:32,400 --> 00:15:35,920 Speaker 1: Security George Washington University. Clint, so lots going on here. 282 00:15:36,000 --> 00:15:38,080 Speaker 1: We also had some New York being part of a 283 00:15:38,120 --> 00:15:41,880 Speaker 1: global entry program being revoked by the president. So the 284 00:15:42,000 --> 00:15:45,560 Speaker 1: question is how much does all of this impact kind 285 00:15:45,600 --> 00:15:49,560 Speaker 1: of our national security, our security apparatus. What are some 286 00:15:49,600 --> 00:15:52,920 Speaker 1: of the fallouts do you think if any? I think 287 00:15:52,960 --> 00:15:57,000 Speaker 1: the big thing is that people will become reflexive and withhold, 288 00:15:57,680 --> 00:16:00,720 Speaker 1: Meaning if I were in government right now, I think 289 00:16:00,760 --> 00:16:04,400 Speaker 1: you'd always try and engauge, Uh, do you deliver the 290 00:16:04,480 --> 00:16:06,600 Speaker 1: president something he doesn't want to hear? And what are 291 00:16:06,640 --> 00:16:09,680 Speaker 1: the consequences of that? And I think it's pretty consistent 292 00:16:09,960 --> 00:16:13,360 Speaker 1: over the president's term here that you see him being 293 00:16:13,680 --> 00:16:17,200 Speaker 1: retaliatory if he doesn't necessarily get what he wants or 294 00:16:17,240 --> 00:16:20,880 Speaker 1: here already wants. And he also sees the US government 295 00:16:20,920 --> 00:16:25,600 Speaker 1: officials longtime public servants as loyalists or not loyalists, which 296 00:16:25,600 --> 00:16:27,480 Speaker 1: means you have to pick a side, and so that 297 00:16:27,560 --> 00:16:31,000 Speaker 1: can be troubling both in terms of executing national security 298 00:16:31,040 --> 00:16:34,720 Speaker 1: and formed policy. For sure, I thought Gordon silence testimony 299 00:16:34,880 --> 00:16:38,640 Speaker 1: was quite remarkable when when he went to UH Congress, 300 00:16:38,720 --> 00:16:41,280 Speaker 1: because he basically said everybody was in on this and 301 00:16:41,760 --> 00:16:43,360 Speaker 1: I was in on it. I thought it was fine, 302 00:16:43,920 --> 00:16:46,320 Speaker 1: and this is what actually happened. And so when you 303 00:16:46,400 --> 00:16:48,440 Speaker 1: look at kind of how this is played out now, 304 00:16:49,080 --> 00:16:51,360 Speaker 1: UH over the last couple of months, now he suddenly 305 00:16:51,840 --> 00:16:55,000 Speaker 1: on the on the stick end instead of the carrot. 306 00:16:55,120 --> 00:16:57,960 Speaker 1: So I think it can be troublesome over time. It's 307 00:16:58,040 --> 00:17:00,440 Speaker 1: very hard to run a government that way. There's a 308 00:17:00,560 --> 00:17:03,920 Speaker 1: question about the morale among national security professionals. Then there's 309 00:17:03,920 --> 00:17:06,800 Speaker 1: a question about national security itself with some of the measures, 310 00:17:06,880 --> 00:17:10,240 Speaker 1: and when we talk about the Global Entry issues, basically 311 00:17:10,520 --> 00:17:14,280 Speaker 1: President Trump proposing to bar New Yorkers from enrolling in 312 00:17:14,359 --> 00:17:17,560 Speaker 1: it or or applying for it newly, there's a question 313 00:17:17,840 --> 00:17:21,600 Speaker 1: of how much of a national security threat our programs 314 00:17:21,760 --> 00:17:26,480 Speaker 1: like Global Reentry and things where people have expedited access 315 00:17:26,600 --> 00:17:30,600 Speaker 1: through through security lines. I mean, is there some true 316 00:17:30,680 --> 00:17:34,640 Speaker 1: threat that has emerged as a result of them. Yeah, 317 00:17:34,680 --> 00:17:36,880 Speaker 1: I don't think there's been a true threat. I think 318 00:17:37,280 --> 00:17:39,159 Speaker 1: you know, by and large, what you find is that 319 00:17:39,240 --> 00:17:42,000 Speaker 1: if you give more data the data and information the government, 320 00:17:42,080 --> 00:17:45,680 Speaker 1: you give up more privacy of your information. Then you 321 00:17:45,760 --> 00:17:49,960 Speaker 1: can get accelerated through these processes. I think what's interesting 322 00:17:50,000 --> 00:17:52,280 Speaker 1: about it is is a really place of the access 323 00:17:52,320 --> 00:17:55,280 Speaker 1: to the wealthy, meaning that if you have money, you 324 00:17:55,359 --> 00:17:57,840 Speaker 1: can buy these things. It's not a cheap service. I 325 00:17:57,920 --> 00:18:00,159 Speaker 1: think it's a couple hundred dollars that you have to do. 326 00:18:00,280 --> 00:18:02,960 Speaker 1: You have to spend additional time to go after the 327 00:18:02,960 --> 00:18:05,879 Speaker 1: airport and gets screen and so if you're someone of 328 00:18:05,920 --> 00:18:07,760 Speaker 1: lower means, you're obviously not going to be able to 329 00:18:07,800 --> 00:18:11,440 Speaker 1: do that. Um, So it's kind of an access program. 330 00:18:12,040 --> 00:18:14,919 Speaker 1: It does beg the question though, of like who uh 331 00:18:15,240 --> 00:18:17,600 Speaker 1: can get that access and you know, what are the 332 00:18:17,680 --> 00:18:21,320 Speaker 1: requirements for it? Or does it give people extra value 333 00:18:21,520 --> 00:18:24,560 Speaker 1: like if your foreign adversary, can you work your way 334 00:18:24,640 --> 00:18:28,440 Speaker 1: into those systems. It's unlikely, it's probably a low probability event, 335 00:18:28,640 --> 00:18:31,360 Speaker 1: but it just shows that there's not a universal acceptance 336 00:18:31,359 --> 00:18:34,680 Speaker 1: of what security is, that there are different standards for 337 00:18:34,760 --> 00:18:37,560 Speaker 1: different kinds of people. So Clint, as it relates to 338 00:18:38,040 --> 00:18:40,879 Speaker 1: some of these whistleblowers and the retribution, I'm thinking about 339 00:18:40,920 --> 00:18:45,359 Speaker 1: the again the Army Lieutenant Colonel Alexander Vinman being pushed 340 00:18:45,359 --> 00:18:49,480 Speaker 1: out of his position, is that is that in the prerogative. 341 00:18:49,640 --> 00:18:52,080 Speaker 1: To what extent is that in the prerogative of President Trump? 342 00:18:52,119 --> 00:18:54,720 Speaker 1: How common is that type of thing or is this 343 00:18:54,840 --> 00:18:57,480 Speaker 1: kind of out of the bounds it is in the 344 00:18:57,520 --> 00:19:01,000 Speaker 1: prerogative of the president to do that. It's just quite uncommon. 345 00:19:01,480 --> 00:19:02,800 Speaker 1: You know. I just saw a report I think a 346 00:19:02,880 --> 00:19:06,280 Speaker 1: couple of hours ago that Ben Man was already asking 347 00:19:06,480 --> 00:19:08,560 Speaker 1: or you know, sort of requesting to be moved from 348 00:19:08,640 --> 00:19:12,040 Speaker 1: his position when his natural time was to come through. 349 00:19:12,160 --> 00:19:14,639 Speaker 1: Usually these are one, two or three year assignments, you know, 350 00:19:14,760 --> 00:19:17,040 Speaker 1: for the military folks to go over to the White 351 00:19:17,080 --> 00:19:20,080 Speaker 1: House on these details. And but why not let that 352 00:19:20,200 --> 00:19:22,240 Speaker 1: just naturally come to pass? Why do you have to 353 00:19:22,320 --> 00:19:25,679 Speaker 1: force the issue? Um, I don't see anything Vinman did 354 00:19:25,760 --> 00:19:28,040 Speaker 1: as being out of line. He was asked to go 355 00:19:28,160 --> 00:19:31,960 Speaker 1: testify the Congress, which has oversight function. He did when 356 00:19:32,040 --> 00:19:34,520 Speaker 1: he had concerns inside the government. He went through an 357 00:19:34,560 --> 00:19:40,000 Speaker 1: approved and uh not a wide open public process. So 358 00:19:40,720 --> 00:19:43,359 Speaker 1: that sort of begs the question, what do we expect 359 00:19:43,440 --> 00:19:46,680 Speaker 1: these people in the government to do when called to Congress? 360 00:19:46,760 --> 00:19:50,159 Speaker 1: And it really also shows just how weak, uh, the 361 00:19:50,320 --> 00:19:53,640 Speaker 1: legislative branch and oversight of Congress has become in comparison 362 00:19:53,680 --> 00:19:57,080 Speaker 1: to the executive branch. President Trump has pushed the limits 363 00:19:57,119 --> 00:20:00,520 Speaker 1: on all of these things, and it so just begs 364 00:20:00,560 --> 00:20:03,040 Speaker 1: the question, why do this if he might have cycled 365 00:20:03,080 --> 00:20:07,000 Speaker 1: out in the next few weeks or months, why go 366 00:20:07,359 --> 00:20:09,159 Speaker 1: this extra step and really pushing him out of the 367 00:20:09,240 --> 00:20:12,720 Speaker 1: White House, other than to make a public spectacle of it. Yeah, clean, 368 00:20:12,960 --> 00:20:15,560 Speaker 1: I do want to just h if I were Tom Keane, 369 00:20:15,640 --> 00:20:18,480 Speaker 1: rip up the script um just a little bit, because 370 00:20:18,520 --> 00:20:20,920 Speaker 1: I know your most recent book, Messing with the Enemy, 371 00:20:20,960 --> 00:20:24,120 Speaker 1: Surviving in a social media world of hackers, terrorists, Russians 372 00:20:24,160 --> 00:20:27,520 Speaker 1: and fake news that while all of this uh political 373 00:20:28,680 --> 00:20:32,080 Speaker 1: drama is going on. We got the announcement from Attorney 374 00:20:32,119 --> 00:20:36,200 Speaker 1: General Bill bar today about the Equifax Equifax hack back 375 00:20:36,280 --> 00:20:39,560 Speaker 1: in two thousand and seventeen, basically charging China's People's Liberation 376 00:20:39,720 --> 00:20:43,520 Speaker 1: Army for hacking into Equifax and stealing the information of 377 00:20:44,320 --> 00:20:47,760 Speaker 1: millions and millions of customers. I'm wondering, do you feel, 378 00:20:47,880 --> 00:20:50,720 Speaker 1: on the balance, like we've gotten safer or less safe 379 00:20:50,760 --> 00:20:53,280 Speaker 1: when it comes to our ability to counter and detect 380 00:20:53,400 --> 00:20:56,560 Speaker 1: some of these potential hacks. I think we've gotten a 381 00:20:56,640 --> 00:20:58,919 Speaker 1: lot better. What I would point out, I was thrilled 382 00:20:58,960 --> 00:21:01,480 Speaker 1: at the Justice Department did that today. What I point 383 00:21:01,520 --> 00:21:04,520 Speaker 1: out though, is that actually occurred in two thousand and seventeen. 384 00:21:04,760 --> 00:21:07,879 Speaker 1: So there's some some things to think about. One, what 385 00:21:08,160 --> 00:21:11,240 Speaker 1: China was doing and has done and continues to do, 386 00:21:11,359 --> 00:21:14,040 Speaker 1: is build up big data from around the world, and 387 00:21:15,040 --> 00:21:18,240 Speaker 1: big data powers artificial intelligence. It is the fuel for 388 00:21:18,320 --> 00:21:20,240 Speaker 1: that machine. The more data you have, the more you 389 00:21:20,280 --> 00:21:21,760 Speaker 1: can learn, The more you can learn, the more you 390 00:21:21,800 --> 00:21:24,440 Speaker 1: can power your economy. And this comes out of time. 391 00:21:24,440 --> 00:21:26,320 Speaker 1: We're here in the United States, we're talking about data 392 00:21:26,400 --> 00:21:28,920 Speaker 1: privacy and beating kind of beating up on big tech 393 00:21:29,000 --> 00:21:32,159 Speaker 1: in our own country. China is running wild in the space, 394 00:21:32,320 --> 00:21:34,359 Speaker 1: and so they have fuel from their own country and 395 00:21:34,520 --> 00:21:37,080 Speaker 1: from the West now. And so when we look at 396 00:21:37,119 --> 00:21:39,840 Speaker 1: how we retaliate on this, we're talking about four hackers. 397 00:21:39,960 --> 00:21:42,359 Speaker 1: I think that they came out in the indictment. They 398 00:21:42,520 --> 00:21:45,600 Speaker 1: probably hacked thousands more times in the last two years 399 00:21:45,640 --> 00:21:48,080 Speaker 1: to and half years since that happened, And it really 400 00:21:48,119 --> 00:21:50,679 Speaker 1: shows how long it takes to do one of these 401 00:21:50,720 --> 00:21:54,880 Speaker 1: investigations and how weak are retaliatory measures really are. We're 402 00:21:54,920 --> 00:21:57,359 Speaker 1: going to indicte those four hackers and nothing will happen 403 00:21:57,400 --> 00:22:00,760 Speaker 1: to them. Ultimately, but the good news is we're finally 404 00:22:00,800 --> 00:22:03,160 Speaker 1: coming around to building a system and doing something about 405 00:22:03,359 --> 00:22:05,760 Speaker 1: something we've not been able to do really for the 406 00:22:05,880 --> 00:22:08,760 Speaker 1: last decade. Clint Watts, thank you so much for being 407 00:22:08,800 --> 00:22:12,040 Speaker 1: with us. Clint Watts, Distinguished Research Fellow for a Foreign 408 00:22:12,119 --> 00:22:15,680 Speaker 1: policy research institute. Also the author of Messing with the Enemy, 409 00:22:15,760 --> 00:22:18,880 Speaker 1: Surviving in a social media world of hackers, terrorists, Russians 410 00:22:18,920 --> 00:22:21,720 Speaker 1: and fake news. Yeah, essentially, the commentary about the hacking, 411 00:22:21,800 --> 00:22:24,159 Speaker 1: it's just a question even you think about that, and 412 00:22:24,280 --> 00:22:27,399 Speaker 1: it's just, you know, as good as the defenses can be, 413 00:22:27,600 --> 00:22:30,920 Speaker 1: as much money as companies invest in protecting their data, 414 00:22:31,560 --> 00:22:34,119 Speaker 1: the other side is also making strides as well. So 415 00:22:34,200 --> 00:22:36,000 Speaker 1: it seems like what we've heard from the experts as 416 00:22:36,040 --> 00:22:39,480 Speaker 1: it relates to hacking, cybersecurity a never ending, you know, 417 00:22:39,640 --> 00:22:43,680 Speaker 1: kind of battle between the hackers and the folks being hacked. 418 00:22:43,720 --> 00:22:59,520 Speaker 1: So we'll obviously pay attention to that. I think it's fitting, Paul, 419 00:22:59,680 --> 00:23:02,680 Speaker 1: at a time when gold is absolutely in vogue for 420 00:23:02,800 --> 00:23:06,400 Speaker 1: us to focus on another precious stone of sorts or metal, 421 00:23:06,840 --> 00:23:10,320 Speaker 1: non precious metal stone, diamonds. Let's talk diamonds, and luckily 422 00:23:10,359 --> 00:23:13,000 Speaker 1: we have with us the expert w as our president 423 00:23:13,040 --> 00:23:16,439 Speaker 1: and co founder of Gemological Science International, based in New York, 424 00:23:16,560 --> 00:23:21,280 Speaker 1: joining us here in our interactive broker studios focusing on evaluating, 425 00:23:21,480 --> 00:23:26,399 Speaker 1: studying precious gems and in particular diamonds for years. And Debbie, 426 00:23:26,440 --> 00:23:28,160 Speaker 1: I just want to get started because we've had people 427 00:23:28,200 --> 00:23:30,760 Speaker 1: on this program talking about lab grown diamonds and if 428 00:23:30,800 --> 00:23:33,480 Speaker 1: that's going to absolutely revolutionize the entire industry because you 429 00:23:33,560 --> 00:23:37,800 Speaker 1: can't tell the difference. Have you seen real in roads 430 00:23:37,880 --> 00:23:40,639 Speaker 1: made by the lab grown diamond producers? And do you 431 00:23:40,720 --> 00:23:43,840 Speaker 1: think that it does materially affect the value of the 432 00:23:44,200 --> 00:23:48,240 Speaker 1: naturally found diamond? Yeah? Well, um, right now, overall it's 433 00:23:48,280 --> 00:23:51,119 Speaker 1: an eighty seven billion dollar industry and only two percent 434 00:23:51,200 --> 00:23:55,320 Speaker 1: of that right now is lab grown diamonds. Um that 435 00:23:55,600 --> 00:23:58,600 Speaker 1: you can definitely as a laboratory, we see both on 436 00:23:58,680 --> 00:24:02,000 Speaker 1: a daily basis, So we certify natural diamonds and we 437 00:24:02,119 --> 00:24:05,680 Speaker 1: also certify lab grown diamonds. They are not the same thing, 438 00:24:05,840 --> 00:24:09,200 Speaker 1: and it's important for consumers to really understand what the 439 00:24:09,280 --> 00:24:12,600 Speaker 1: key differences are. Um, either option is fine as long 440 00:24:12,640 --> 00:24:15,600 Speaker 1: as you really understand what you're purchasing and also the 441 00:24:15,680 --> 00:24:19,680 Speaker 1: reason for your purchase. But from let's say a gemological standpoint, 442 00:24:19,760 --> 00:24:23,720 Speaker 1: they have the same chemical, optical, and physical properties, but 443 00:24:24,400 --> 00:24:27,120 Speaker 1: they're not the same in the sense of their origin, 444 00:24:27,240 --> 00:24:29,159 Speaker 1: where they came from, and also the time that they 445 00:24:29,240 --> 00:24:34,360 Speaker 1: took to grow. So natural diamonds are billions of years old, 446 00:24:34,440 --> 00:24:37,560 Speaker 1: they're formed hundreds of miles beneath the Earth's surface. They're rare, 447 00:24:37,600 --> 00:24:40,840 Speaker 1: they're precious. No two are ever the same, and the 448 00:24:41,000 --> 00:24:45,440 Speaker 1: supply of the supply will eventually exhaust itself. UM. Lab 449 00:24:45,520 --> 00:24:49,280 Speaker 1: grown diamonds are really technology at its finest. You can 450 00:24:49,560 --> 00:24:53,600 Speaker 1: they're grown in factories over weeks or months, and because 451 00:24:53,680 --> 00:24:56,159 Speaker 1: we can always grow more, the supply is infinite, and 452 00:24:56,240 --> 00:24:59,040 Speaker 1: that does leave a lot of possibilities for where it 453 00:24:59,119 --> 00:25:02,480 Speaker 1: can be used. So are people still buying diamonds as 454 00:25:02,680 --> 00:25:04,959 Speaker 1: much as they used to? What's the trend in kind 455 00:25:05,000 --> 00:25:09,080 Speaker 1: of diamond demand? Yeah? Absolutely so people are still buying diamonds, 456 00:25:09,080 --> 00:25:11,200 Speaker 1: and I think consumers are just doing this a lot 457 00:25:11,359 --> 00:25:14,879 Speaker 1: differently than they used to. UM. I think retailers have 458 00:25:15,000 --> 00:25:19,040 Speaker 1: done a really great job of enhancing the consumers overall 459 00:25:19,320 --> 00:25:22,879 Speaker 1: buying experience and shopping experience, So whether it's online or 460 00:25:22,960 --> 00:25:25,600 Speaker 1: in store, and today for consumers it's become a real 461 00:25:25,760 --> 00:25:29,119 Speaker 1: integrated journey. Many will start online to do a lot 462 00:25:29,200 --> 00:25:32,399 Speaker 1: of research or homework about what they're buying, and then 463 00:25:32,440 --> 00:25:35,080 Speaker 1: they'll walk into a store to really look, see, feel, 464 00:25:35,119 --> 00:25:38,520 Speaker 1: and experience the product. And it's all about really creating 465 00:25:39,000 --> 00:25:43,159 Speaker 1: an informative, educational, and really memorable experience. It's all about 466 00:25:43,600 --> 00:25:45,760 Speaker 1: when the consumer wants to buy, how they want to buy, 467 00:25:45,960 --> 00:25:48,600 Speaker 1: and where they want to buy. And they're still buying 468 00:25:48,720 --> 00:25:52,720 Speaker 1: diamonds today. I'm startling to understand the correlation between the 469 00:25:52,840 --> 00:25:56,760 Speaker 1: haven us at sort of store value and precious gems. 470 00:25:56,800 --> 00:25:58,960 Speaker 1: We certainly see it with gold to a large degree, 471 00:25:58,960 --> 00:26:01,560 Speaker 1: although there are a lot of factors. Is there a 472 00:26:01,640 --> 00:26:05,480 Speaker 1: sort of commensurate increase in value during times of uncertainty 473 00:26:05,560 --> 00:26:10,320 Speaker 1: for diamonds, For diamonds, yes, definitely. UM diamonds historically have 474 00:26:10,560 --> 00:26:14,560 Speaker 1: always maintained their value. UM diamonds have inherent value, and 475 00:26:15,359 --> 00:26:18,600 Speaker 1: over time they do appreciate. You know, I think many 476 00:26:19,040 --> 00:26:21,760 Speaker 1: consumers the reason that they like natural diamonds as they 477 00:26:21,800 --> 00:26:24,200 Speaker 1: can always upgrade, they can trade it in, there's a 478 00:26:24,240 --> 00:26:27,520 Speaker 1: secondhand market for them. With lab grown diamonds. Right now, 479 00:26:27,560 --> 00:26:30,680 Speaker 1: it's still something that's very new, so we're uncertain about 480 00:26:30,720 --> 00:26:33,960 Speaker 1: the long term value of it and of course, since 481 00:26:34,000 --> 00:26:36,760 Speaker 1: it's something we can continue to grow more and more 482 00:26:37,440 --> 00:26:40,200 Speaker 1: um with time, that could mean that the value will 483 00:26:40,200 --> 00:26:42,200 Speaker 1: go down a little bit. So on this show we 484 00:26:42,240 --> 00:26:44,680 Speaker 1: talk a lot about investing in stocks and bonds, and 485 00:26:44,760 --> 00:26:46,560 Speaker 1: one of the things we hear about from investors has 486 00:26:46,560 --> 00:26:51,359 Speaker 1: increased interests in e s g. Environmental social governance, and 487 00:26:51,440 --> 00:26:54,040 Speaker 1: I know in the diamond industry that's a big issue 488 00:26:54,040 --> 00:26:55,639 Speaker 1: as well. You hear I'm sure you're getting more and 489 00:26:55,720 --> 00:26:59,800 Speaker 1: more questions from consumers about that. What's what's kind of 490 00:26:59,840 --> 00:27:01,800 Speaker 1: this status of the other industries that related to that, 491 00:27:01,960 --> 00:27:03,760 Speaker 1: where the diamonds come from and how they're sourced and 492 00:27:03,800 --> 00:27:06,240 Speaker 1: all that. Yeah. Absolutely, I mean consumers are all about 493 00:27:06,280 --> 00:27:09,400 Speaker 1: transparency and they want to know all about their diamonds, 494 00:27:09,560 --> 00:27:12,040 Speaker 1: where they came from. It's interesting at g s I, 495 00:27:12,200 --> 00:27:15,119 Speaker 1: we were one of the first laboratories to offer a 496 00:27:15,280 --> 00:27:18,320 Speaker 1: Minds to Market report, which tells you all about your 497 00:27:18,359 --> 00:27:20,919 Speaker 1: diamonds journey from the mind all the way to the market. 498 00:27:21,280 --> 00:27:23,680 Speaker 1: And I think it's really important for people to understand 499 00:27:23,800 --> 00:27:27,280 Speaker 1: also the millions of jobs that the industry provides around 500 00:27:27,320 --> 00:27:30,240 Speaker 1: the world, the social benefits that we provide, and how 501 00:27:30,320 --> 00:27:34,119 Speaker 1: we sustain local economies around the world. We provide jobs 502 00:27:34,200 --> 00:27:36,920 Speaker 1: in some of the most remote regions in the world 503 00:27:37,040 --> 00:27:41,760 Speaker 1: in Africa, India and Northwest Canada, Western Australia, deep in Siberia, 504 00:27:41,880 --> 00:27:45,159 Speaker 1: and by providing these high quality and safe jobs and 505 00:27:45,200 --> 00:27:48,720 Speaker 1: also through the local sourcing of products and services, were 506 00:27:48,720 --> 00:27:54,720 Speaker 1: able to really provide significant, long lasting, positive um impacts 507 00:27:54,760 --> 00:27:57,879 Speaker 1: on these economies. And if we can bring in even Botswana. 508 00:27:57,920 --> 00:28:00,800 Speaker 1: Botswana is probably a great example of this because it's 509 00:28:00,920 --> 00:28:04,560 Speaker 1: one of the world's greatest development success stories. And before 510 00:28:04,640 --> 00:28:07,080 Speaker 1: diamonds were discovered there there were only four miles of 511 00:28:07,119 --> 00:28:10,560 Speaker 1: paved roads. Today there's over four thousand. Poverty has been 512 00:28:10,600 --> 00:28:14,040 Speaker 1: cut in half. Every child receives a free education. There's 513 00:28:14,080 --> 00:28:17,040 Speaker 1: now over three hundred schools. And this is really all 514 00:28:17,119 --> 00:28:20,040 Speaker 1: because of the economic stability our industry is able to 515 00:28:20,400 --> 00:28:24,320 Speaker 1: provide to help create basic infrastructure, healthcare, education and clean water. 516 00:28:24,960 --> 00:28:26,320 Speaker 1: W as a thanks so much for joining us. We 517 00:28:26,320 --> 00:28:28,439 Speaker 1: appreciate you coming in your de w as our president 518 00:28:28,520 --> 00:28:32,199 Speaker 1: co founder Gemological Science uh International based here in New York, 519 00:28:32,280 --> 00:28:34,760 Speaker 1: joining us here in our Bloomberg inactive broker's studio. I 520 00:28:34,840 --> 00:28:37,560 Speaker 1: didn't know there was such a thing as lab grown diamonds. 521 00:28:37,600 --> 00:28:40,760 Speaker 1: Idea yeah, so it's actually a growing, a growing industry 522 00:28:40,800 --> 00:28:43,560 Speaker 1: that basically they've come out with a way to actually 523 00:28:44,040 --> 00:28:48,680 Speaker 1: replicate the billions of years that it took to generate diamonds. 524 00:28:49,080 --> 00:28:50,680 Speaker 1: But then it sort of raises a question of their 525 00:28:50,680 --> 00:28:52,840 Speaker 1: store of value. But I of course start looking at 526 00:28:52,880 --> 00:28:54,680 Speaker 1: store of value, and you know, if you want to 527 00:28:54,720 --> 00:28:57,720 Speaker 1: raise questions about anything, if bitcoins considered a store of value, 528 00:28:57,880 --> 00:29:01,040 Speaker 1: you know, I mean, but you know, what what what 529 00:29:01,240 --> 00:29:04,400 Speaker 1: is value? Exactly right? Thanks for listening to the Bloomberg 530 00:29:04,440 --> 00:29:06,600 Speaker 1: P and L podcast. You can subscribe and listen to 531 00:29:06,680 --> 00:29:09,880 Speaker 1: interviews at Apple Podcasts or whatever podcast platform you prefer. 532 00:29:10,120 --> 00:29:12,760 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. I'm 533 00:29:12,840 --> 00:29:15,719 Speaker 1: Lisa abram Wits. I'm on Twitter at Lisa abram Woits one. 534 00:29:15,960 --> 00:29:18,560 Speaker 1: Before the podcast, you can always catch us worldwide. I'm 535 00:29:18,600 --> 00:29:19,400 Speaker 1: Bloomberg Radio