1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel podcast. I'm Paul Swinge. You 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma Waits. Each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg penl podcast on Apple 6 00:00:15,520 --> 00:00:17,959 Speaker 1: Podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:22,200 Speaker 1: at Bloomberg dot com. Well, Bermuda has become a prominent 8 00:00:22,239 --> 00:00:26,480 Speaker 1: player in the growing market for blockchain, fintech and virtual currencies. 9 00:00:26,840 --> 00:00:30,240 Speaker 1: Help us better understand what is going on in Bermuda. 10 00:00:30,280 --> 00:00:32,640 Speaker 1: We welcome the honorable David Birt. He's Premier of the 11 00:00:32,680 --> 00:00:34,560 Speaker 1: government in Bermuda. He joins us live here on a 12 00:00:34,560 --> 00:00:38,040 Speaker 1: Bloomberg Interactive Broker Studio premiere. Thank you so much for 13 00:00:38,240 --> 00:00:40,199 Speaker 1: being with us. I wonder if you could just get 14 00:00:40,240 --> 00:00:42,360 Speaker 1: my When I think blockchain, when I think krypto, I 15 00:00:42,360 --> 00:00:44,840 Speaker 1: don't necessarily think of Bermuda. So tell me what's going 16 00:00:44,880 --> 00:00:47,960 Speaker 1: on on that beautiful island Bermuda. Thank you very much. Paul. Well, 17 00:00:48,000 --> 00:00:50,040 Speaker 1: when you think blockchain and crypto in the future, you 18 00:00:50,080 --> 00:00:53,199 Speaker 1: should think about Bermuda because Bermuda was the first country 19 00:00:53,200 --> 00:00:55,520 Speaker 1: in the world to actually have a full suite of 20 00:00:56,000 --> 00:00:59,320 Speaker 1: laws and regulations to govern companies in this space. And 21 00:00:59,360 --> 00:01:01,440 Speaker 1: we did that because we want to remain on the 22 00:01:01,560 --> 00:01:05,959 Speaker 1: forefront of innovation in financial services. So now our Bermuda 23 00:01:06,000 --> 00:01:09,080 Speaker 1: Monetary Authority, who is a world renowned regulator UM has 24 00:01:09,120 --> 00:01:11,800 Speaker 1: an entire fintech team and we are there now able 25 00:01:11,840 --> 00:01:14,039 Speaker 1: to license companies in this space to make sure that 26 00:01:14,120 --> 00:01:18,080 Speaker 1: consumers are protected and that companies can grow and expand 27 00:01:18,080 --> 00:01:22,240 Speaker 1: their services in a well regulated environment. So, uh, just 28 00:01:22,240 --> 00:01:25,080 Speaker 1: I'm wondering, premiere, how closely do you watch the price 29 00:01:25,120 --> 00:01:27,920 Speaker 1: of bitcoin? UM? I actually don't watch the price of bitcoin. 30 00:01:28,800 --> 00:01:31,360 Speaker 1: I just gave him a quote bitcoin I just popped 31 00:01:31,400 --> 00:01:33,520 Speaker 1: up on the screen. Well, I guess the reason why 32 00:01:33,560 --> 00:01:37,280 Speaker 1: I ask is does the price of bitcoin cohere or 33 00:01:37,319 --> 00:01:41,960 Speaker 1: sort of match the growing or waning demand by institutional 34 00:01:41,959 --> 00:01:46,240 Speaker 1: investors for blockchain for the services that you're hoping Bermuda 35 00:01:46,280 --> 00:01:49,440 Speaker 1: will be home to UM. I think that certainly the 36 00:01:49,480 --> 00:01:52,360 Speaker 1: price of bitcoin as a factor, because a lot of 37 00:01:52,400 --> 00:01:55,440 Speaker 1: the companies that are backed by persons who did make 38 00:01:56,240 --> 00:01:58,520 Speaker 1: a lot of money during the run up in the 39 00:01:58,560 --> 00:02:02,640 Speaker 1: price of bitcoin certainly are able to better deploy that 40 00:02:02,760 --> 00:02:05,040 Speaker 1: capital but I think on a broader level, we're not 41 00:02:05,080 --> 00:02:06,800 Speaker 1: looking at it from the short term. We're looking at 42 00:02:06,800 --> 00:02:09,240 Speaker 1: it from the long term. This is just getting started. 43 00:02:09,480 --> 00:02:11,520 Speaker 1: So what we want to ensure is that companies that 44 00:02:11,560 --> 00:02:14,320 Speaker 1: are looking for that regulation have a home where they 45 00:02:14,320 --> 00:02:17,400 Speaker 1: have a government that understands this. I have a technology background, 46 00:02:17,560 --> 00:02:19,440 Speaker 1: they have a government that understands this, they have a 47 00:02:19,480 --> 00:02:21,360 Speaker 1: regulator that's willing to work with them so they can 48 00:02:21,400 --> 00:02:24,560 Speaker 1: design these new cutting edge products which will not have 49 00:02:24,840 --> 00:02:28,359 Speaker 1: you know, digital currency is its own asset class, but 50 00:02:28,440 --> 00:02:31,639 Speaker 1: we're talking about new financial products which heretofore you were 51 00:02:31,680 --> 00:02:34,760 Speaker 1: not able to create, which you can now create UM 52 00:02:34,760 --> 00:02:39,320 Speaker 1: with UH with these new UH distributed currencies. So we 53 00:02:39,360 --> 00:02:42,600 Speaker 1: think about blockchain the technology, what are some of the 54 00:02:42,639 --> 00:02:44,639 Speaker 1: applications that some of the companies that are coming to 55 00:02:44,720 --> 00:02:48,480 Speaker 1: Bermuda think that might be some of the initial applications 56 00:02:48,480 --> 00:02:51,600 Speaker 1: of blockchain or fintech. And broadly speaking, I can give 57 00:02:51,600 --> 00:02:54,320 Speaker 1: you an example of one company which is called Diamond Standard, 58 00:02:54,560 --> 00:02:56,560 Speaker 1: which is just announced that they're increasing the amount of 59 00:02:56,639 --> 00:02:59,440 Speaker 1: jobs which UH. They have UM in Bermuda and are 60 00:02:59,480 --> 00:03:02,520 Speaker 1: currently in the being regulated by the Muta Monitory Authority. 61 00:03:02,760 --> 00:03:04,280 Speaker 1: And these are things that which you can do which 62 00:03:04,320 --> 00:03:07,280 Speaker 1: you weren't able to do before. Their commoditizing diamonds. So 63 00:03:07,360 --> 00:03:09,359 Speaker 1: before diamonds are one of those things you can't cut 64 00:03:09,440 --> 00:03:12,320 Speaker 1: it because it loves its value. But that value is there, 65 00:03:12,440 --> 00:03:16,040 Speaker 1: that value exists, So you can have secure custody those uh, 66 00:03:16,120 --> 00:03:18,919 Speaker 1: those diamonds while at the same points in time leveraging 67 00:03:18,919 --> 00:03:22,760 Speaker 1: those uh leveraging that asset and making use of it 68 00:03:23,080 --> 00:03:25,480 Speaker 1: from that perspective, and you can do that with blockchain. 69 00:03:25,680 --> 00:03:28,800 Speaker 1: You couldn't do that before. So Premiere, I'm just wondering. 70 00:03:28,840 --> 00:03:31,919 Speaker 1: We talk about blockchain, we talked about virtual currencies. Blockchain 71 00:03:31,960 --> 00:03:35,400 Speaker 1: increasingly is becoming sort of the state domain of back 72 00:03:35,480 --> 00:03:40,360 Speaker 1: office operations. Virtual currencies still have a certain sexiness to them, 73 00:03:40,400 --> 00:03:44,240 Speaker 1: but what is the primary business that you expect to 74 00:03:44,640 --> 00:03:47,920 Speaker 1: fuel the industry in Bermuda? Is it blockchain? Is the 75 00:03:47,920 --> 00:03:51,120 Speaker 1: back office sort of operations and tracking, or is it 76 00:03:51,240 --> 00:03:54,480 Speaker 1: sort of this idea of virtual gold um I would 77 00:03:54,480 --> 00:03:58,360 Speaker 1: say that it's more blockchain generally distributed leisure technologies, but 78 00:03:58,400 --> 00:04:01,680 Speaker 1: they're but they're hard to divide because when we talk 79 00:04:01,720 --> 00:04:04,440 Speaker 1: about you here bitcoin, which is a digital currency in 80 00:04:04,480 --> 00:04:07,680 Speaker 1: its effect, but there are so many other types of 81 00:04:07,760 --> 00:04:12,080 Speaker 1: digital currencies of which can be deployed to incentivize certain 82 00:04:12,080 --> 00:04:14,520 Speaker 1: types of behavior. So when you're talking about the data, 83 00:04:14,600 --> 00:04:16,640 Speaker 1: the data which you own, how do you get paid 84 00:04:16,680 --> 00:04:19,080 Speaker 1: for the data which you own? In many different aspects. 85 00:04:19,080 --> 00:04:21,800 Speaker 1: These are just two new structures which are able to 86 00:04:21,880 --> 00:04:25,159 Speaker 1: be brought in place by distributed leisure technology. So it's 87 00:04:25,200 --> 00:04:27,800 Speaker 1: the entire gamut right now. As I say, we're just 88 00:04:27,960 --> 00:04:30,120 Speaker 1: at lead cutting edge, we're just at the beginning. So 89 00:04:30,160 --> 00:04:32,159 Speaker 1: we're now beginning to see companies that are thinking. So 90 00:04:32,200 --> 00:04:35,400 Speaker 1: in Bermuda right now, you can have a Bermuda company 91 00:04:35,440 --> 00:04:38,560 Speaker 1: that can tokenize a real estate asset here in New 92 00:04:38,640 --> 00:04:43,400 Speaker 1: York City and divide that amongst investors into multiple intantestimal divisions. 93 00:04:43,440 --> 00:04:46,359 Speaker 1: These are things of which you can do efficiently now 94 00:04:46,440 --> 00:04:48,839 Speaker 1: through blockchain that you were not able to do previously 95 00:04:49,080 --> 00:04:53,320 Speaker 1: through traditional financial sector. We're speaking with the Honorable David Bird, 96 00:04:53,360 --> 00:04:55,720 Speaker 1: the Premier of the Government of Bermuda, talking about all 97 00:04:55,760 --> 00:04:59,440 Speaker 1: things crypto and fintech on the island of Bermuda. So 98 00:05:00,000 --> 00:05:03,120 Speaker 1: a mirror wondering you know, Bermuda has always had a 99 00:05:03,240 --> 00:05:06,080 Speaker 1: very strong regulatory framework. As you mentioned, I'm guessing from 100 00:05:06,120 --> 00:05:09,080 Speaker 1: the insurance industry that that that's been home to the 101 00:05:09,120 --> 00:05:12,760 Speaker 1: NFER for a long time. Who does Bermuda compete against 102 00:05:12,960 --> 00:05:16,159 Speaker 1: in these early stages of trying to be the a 103 00:05:16,320 --> 00:05:19,520 Speaker 1: home or a trust at home for UH blockchain type 104 00:05:19,520 --> 00:05:23,400 Speaker 1: technology companies. Bermuda is not in composition with anyone. And 105 00:05:23,440 --> 00:05:25,200 Speaker 1: there's a reason why I say that there's a lot 106 00:05:25,240 --> 00:05:28,360 Speaker 1: of other countries around the world that will be engaged 107 00:05:28,400 --> 00:05:30,920 Speaker 1: in the hype cycle. The fact is that as this 108 00:05:31,040 --> 00:05:33,320 Speaker 1: early stages, there's going to be a lot of companies 109 00:05:33,360 --> 00:05:35,320 Speaker 1: that pop up and a lot of companies that don't. 110 00:05:35,680 --> 00:05:39,520 Speaker 1: In Bermuda, we started our licensing regime in September and 111 00:05:39,600 --> 00:05:42,880 Speaker 1: today we've only had one company that's passed our licensing process. 112 00:05:43,200 --> 00:05:46,680 Speaker 1: And there's a reason why we want quality and not quantity. 113 00:05:46,760 --> 00:05:50,240 Speaker 1: We want to have those large institutional back companies that 114 00:05:50,279 --> 00:05:53,000 Speaker 1: can actually pass those large hurdles because we don't want 115 00:05:53,040 --> 00:05:57,360 Speaker 1: to have as a jurisdiction that protects its reputation consumers 116 00:05:57,360 --> 00:05:58,720 Speaker 1: that would have lost a lot of money due to 117 00:05:58,760 --> 00:06:01,960 Speaker 1: a cybersecurity era and the wrest. We have strict custody rules, 118 00:06:02,000 --> 00:06:05,360 Speaker 1: strict cybersecurity rules and all those things which is necessary 119 00:06:05,400 --> 00:06:08,800 Speaker 1: for adoption of this industry. So what I would say 120 00:06:08,839 --> 00:06:10,960 Speaker 1: is that from that perspective we compete with no one. 121 00:06:11,160 --> 00:06:13,240 Speaker 1: But I just want to say where Bermuda stands, there's 122 00:06:13,279 --> 00:06:16,240 Speaker 1: only two countries in the world that have regulatory equivalents 123 00:06:16,240 --> 00:06:18,840 Speaker 1: when it comes to risk, with both United States and 124 00:06:18,920 --> 00:06:21,599 Speaker 1: the European Union, and that's Bermuda in Switzerland. And that's 125 00:06:21,640 --> 00:06:24,320 Speaker 1: the class in which Bermuda plays in premiere. There is 126 00:06:24,360 --> 00:06:26,880 Speaker 1: a little bit of a complication recently which has to 127 00:06:26,960 --> 00:06:30,400 Speaker 1: do with Britain and Brexit. We do know that you 128 00:06:30,400 --> 00:06:32,680 Speaker 1: guys are self governed, but you are a British territory 129 00:06:32,680 --> 00:06:36,520 Speaker 1: and I'm just wondering how this sort of escalating debate 130 00:06:36,560 --> 00:06:40,040 Speaker 1: in Parliament and and the likelihood of the increasing likelihood 131 00:06:40,040 --> 00:06:44,120 Speaker 1: of potentially even a heartbreak affects your your your your 132 00:06:44,839 --> 00:06:47,520 Speaker 1: territories economy. The only thing that I can say is 133 00:06:47,520 --> 00:06:50,279 Speaker 1: the uncertainty is not helpful and we hope that someone 134 00:06:50,320 --> 00:06:53,400 Speaker 1: would make a decision at some point in time um 135 00:06:53,440 --> 00:06:56,320 Speaker 1: and it's very unfortunate. Ber Bermuda has its own relationships 136 00:06:56,320 --> 00:06:59,280 Speaker 1: with the European Union and those relations as will continue. 137 00:06:59,760 --> 00:07:02,520 Speaker 1: We have solvency to equivalents in insurance that was not 138 00:07:02,640 --> 00:07:05,599 Speaker 1: through the United Kingdom that was through Bermuda and Bermuda 139 00:07:05,640 --> 00:07:08,800 Speaker 1: Monitor Authority, direct liaise with the European Union, and those 140 00:07:08,839 --> 00:07:10,800 Speaker 1: things will continue. We just hope that they can have 141 00:07:10,880 --> 00:07:13,440 Speaker 1: some clarity as the nature the relationships so that we 142 00:07:13,480 --> 00:07:16,840 Speaker 1: can actually plan our future engagement. But we expect minimal 143 00:07:16,880 --> 00:07:19,600 Speaker 1: impact Bermuda from Brexit. Do you actually watch any of 144 00:07:19,640 --> 00:07:23,360 Speaker 1: the Parliament debates? I woke up this morning watching Premier 145 00:07:23,640 --> 00:07:26,600 Speaker 1: Prime Minister's question time, so I do. Actually. My wife 146 00:07:26,880 --> 00:07:28,920 Speaker 1: laughs at me. She says that I'm addicted to Brexit 147 00:07:28,960 --> 00:07:31,000 Speaker 1: and I can't get enough of the Brexit news. Well 148 00:07:31,000 --> 00:07:32,600 Speaker 1: then you can. You'd be right at home up Bloomberg, 149 00:07:32,640 --> 00:07:36,600 Speaker 1: cause we cover it very closely. Unfortunately, people have to 150 00:07:36,640 --> 00:07:39,960 Speaker 1: be addicted because the outcome could potentially have pretty big 151 00:07:40,120 --> 00:07:43,680 Speaker 1: ramifications on Britain and the territories. The Honorable David Burt, 152 00:07:43,680 --> 00:07:45,200 Speaker 1: thank you so much for being with us. The Honorable 153 00:07:45,280 --> 00:07:49,200 Speaker 1: David Burt, Premiere of the Government of Bermuda, joining us 154 00:07:49,200 --> 00:08:08,480 Speaker 1: from our interactive broker studios in New York. Well. As 155 00:08:08,480 --> 00:08:11,520 Speaker 1: the US and China trade tensions continue to simmer, markets 156 00:08:11,520 --> 00:08:15,360 Speaker 1: are understandably nervous and our next guest is eminently qualified 157 00:08:15,360 --> 00:08:18,720 Speaker 1: to a pine on these ongoing trade negotiations. Christopher Smartest, 158 00:08:18,760 --> 00:08:23,840 Speaker 1: head of Bearings Investment Institute UH, and from he served 159 00:08:23,880 --> 00:08:27,200 Speaker 1: US Special Assistant to the President at the National Economic 160 00:08:27,200 --> 00:08:29,760 Speaker 1: Council and the National Security Council, where he was principal 161 00:08:29,760 --> 00:08:33,120 Speaker 1: advisor on trade, investment and a wide range of global 162 00:08:33,160 --> 00:08:36,640 Speaker 1: economic issues. Christopher, thank you so much for being with us. 163 00:08:37,000 --> 00:08:39,640 Speaker 1: You just want to get your sense for the last 164 00:08:39,640 --> 00:08:43,000 Speaker 1: ten days of really seeing these trade negotiations and the 165 00:08:43,120 --> 00:08:46,640 Speaker 1: tensions between US and China really make a significant turn. 166 00:08:47,200 --> 00:08:49,800 Speaker 1: Where do you think we are right now? I think 167 00:08:49,880 --> 00:08:54,520 Speaker 1: right now we're still in kind of late stage throws 168 00:08:54,679 --> 00:08:57,559 Speaker 1: of closing in on a deal. Of course, you get 169 00:08:57,559 --> 00:08:59,840 Speaker 1: different messages from the White House in different days, but 170 00:08:59,880 --> 00:09:02,319 Speaker 1: I think that seems to be where we're still headed. 171 00:09:02,320 --> 00:09:05,160 Speaker 1: I think those who have done the long term negotiations 172 00:09:05,160 --> 00:09:07,880 Speaker 1: with China this is relatively typical as we get closer 173 00:09:07,880 --> 00:09:10,840 Speaker 1: to the end, where the bureaucracy back home may pull 174 00:09:10,920 --> 00:09:14,120 Speaker 1: back from one or two agreed principles UH. And that's 175 00:09:14,160 --> 00:09:17,720 Speaker 1: not unusual. I think it's not unusual for an American side, 176 00:09:17,720 --> 00:09:20,720 Speaker 1: a political leader too threatened to walk away from the 177 00:09:20,760 --> 00:09:23,240 Speaker 1: deal to sort of try and secure as much as 178 00:09:23,440 --> 00:09:24,800 Speaker 1: as he can at the end of the day, but 179 00:09:24,840 --> 00:09:26,440 Speaker 1: I think that's where we're still headed. I think the 180 00:09:26,440 --> 00:09:29,560 Speaker 1: broader issue, though, is that looking out over the next 181 00:09:29,600 --> 00:09:32,280 Speaker 1: few years or even decades, UH tariffs are going to 182 00:09:32,360 --> 00:09:34,959 Speaker 1: be very much a part of our relationship with China. 183 00:09:35,200 --> 00:09:37,400 Speaker 1: Whether they come off in the near term, I think 184 00:09:37,400 --> 00:09:39,839 Speaker 1: they will always be looming in the background as a 185 00:09:39,880 --> 00:09:42,600 Speaker 1: potential threat. And that's a new thing that investors in 186 00:09:42,679 --> 00:09:45,520 Speaker 1: business UM managers are gonna have to deal with. Well 187 00:09:45,520 --> 00:09:48,160 Speaker 1: and Christopher, we have seen money coming out of emerging 188 00:09:48,200 --> 00:09:52,040 Speaker 1: markets funds over the past week or so as the 189 00:09:52,120 --> 00:09:55,480 Speaker 1: rhetoric has gotten increasingly heated between China and the US. 190 00:09:55,520 --> 00:09:59,000 Speaker 1: If the threat of tariffs does hang over China and 191 00:09:59,320 --> 00:10:02,440 Speaker 1: the relationship between China the US in the years to come, 192 00:10:02,760 --> 00:10:05,559 Speaker 1: what does that do for UM. Well, it's not great, 193 00:10:05,640 --> 00:10:10,160 Speaker 1: since EM always depends on vibrant and growing UH international trade. 194 00:10:10,200 --> 00:10:14,520 Speaker 1: But I think as investors learned to understand what the 195 00:10:14,720 --> 00:10:17,560 Speaker 1: new framework is. I mean, tariffs are principally on the 196 00:10:17,640 --> 00:10:22,880 Speaker 1: US China trade relationship. That creates opportunities for other emerging markets, 197 00:10:22,920 --> 00:10:24,880 Speaker 1: particularly in South Asia. We've already seen that over the 198 00:10:24,960 --> 00:10:27,320 Speaker 1: last few years, where costs in China have been rising 199 00:10:27,360 --> 00:10:31,000 Speaker 1: and so people are looking for expanding their supply chains 200 00:10:31,040 --> 00:10:36,160 Speaker 1: to UM, Malaysia, Singapore, Indonesia and other other countries, so 201 00:10:36,240 --> 00:10:39,680 Speaker 1: that will continue as well. One of the concerns Christopher 202 00:10:39,880 --> 00:10:43,400 Speaker 1: is as to the extent that this trade tension goes 203 00:10:43,440 --> 00:10:47,480 Speaker 1: on longer than people expect and the tariffs remain in place, 204 00:10:48,000 --> 00:10:51,880 Speaker 1: it may prompt China to sell uh U S treasuries 205 00:10:51,880 --> 00:10:55,200 Speaker 1: their holdings of US treasuries. What is do you think 206 00:10:55,240 --> 00:10:57,439 Speaker 1: that could occur will occur? And topic of a deal 207 00:10:57,520 --> 00:11:00,080 Speaker 1: is that, well, if if they did, it would be 208 00:11:00,160 --> 00:11:02,520 Speaker 1: a big deal. I think the chances of them doing 209 00:11:02,559 --> 00:11:07,120 Speaker 1: that in this sudden, reactive, punitive way or next to 210 00:11:07,280 --> 00:11:11,960 Speaker 1: nil uh it would be a tremendously self self damaging 211 00:11:12,000 --> 00:11:15,400 Speaker 1: act to undertake. China uses those reserves in order to 212 00:11:15,400 --> 00:11:18,760 Speaker 1: help manage the movements of its own currency uh and 213 00:11:19,000 --> 00:11:23,440 Speaker 1: you know, a quick sell off would um would lower 214 00:11:23,480 --> 00:11:28,200 Speaker 1: the value of those um of those treasuries it continues 215 00:11:28,200 --> 00:11:30,640 Speaker 1: to own, as well as raising interest rates and all 216 00:11:30,679 --> 00:11:34,280 Speaker 1: the consequences of the global economy on which China ultimately depends. 217 00:11:34,280 --> 00:11:36,240 Speaker 1: So I think that's a very you know, there will 218 00:11:36,280 --> 00:11:38,640 Speaker 1: be times where they buy slightly less or they buy 219 00:11:38,640 --> 00:11:41,199 Speaker 1: slightly more. But I think looking to that as the 220 00:11:41,240 --> 00:11:43,560 Speaker 1: way they would react is the wrong place to look. 221 00:11:43,600 --> 00:11:47,040 Speaker 1: More likely than not, they will react by imposing new 222 00:11:47,080 --> 00:11:50,640 Speaker 1: restrictions on American companies doing business in China. Um something 223 00:11:50,720 --> 00:11:52,640 Speaker 1: they've been very good at, something they've been trying to 224 00:11:52,679 --> 00:11:55,400 Speaker 1: loosen up on. But it's very easy to reimpose those 225 00:11:55,640 --> 00:11:58,959 Speaker 1: restrictions making it more difficult for American firms already in China. 226 00:11:59,480 --> 00:12:02,559 Speaker 1: So Chris, President Trump has talked about how he now 227 00:12:02,600 --> 00:12:05,199 Speaker 1: has to deal with this because previous presidents have not, 228 00:12:05,559 --> 00:12:08,000 Speaker 1: and that the just the relationship between the U. S 229 00:12:08,000 --> 00:12:10,280 Speaker 1: and China has been incredibly complicated in China's been taking 230 00:12:10,280 --> 00:12:14,079 Speaker 1: advantage of US companies for years. As a former member 231 00:12:14,120 --> 00:12:18,080 Speaker 1: of the Obama administration, what's your response, Well, we have 232 00:12:18,200 --> 00:12:21,280 Speaker 1: been as a country dealing with the rise of China 233 00:12:21,480 --> 00:12:25,560 Speaker 1: for years, for decades, and to be you know, honest, 234 00:12:25,600 --> 00:12:27,400 Speaker 1: I think what President Trump is trying to achieve is 235 00:12:27,480 --> 00:12:30,920 Speaker 1: very much in line with what previous presidents in both 236 00:12:30,920 --> 00:12:34,880 Speaker 1: parties have been trying to achieve, which is to recognize 237 00:12:34,880 --> 00:12:37,240 Speaker 1: that China is a very big and growing part of 238 00:12:37,280 --> 00:12:40,600 Speaker 1: the global economy that we needed to be more integrated 239 00:12:40,840 --> 00:12:45,600 Speaker 1: and more um in line with global trade and investment practices. 240 00:12:46,120 --> 00:12:48,400 Speaker 1: How do you achieve that? That's the big question. The 241 00:12:48,440 --> 00:12:51,640 Speaker 1: President has chosen to be much more forthcoming on the 242 00:12:51,760 --> 00:12:56,560 Speaker 1: punitive tariff side of things. Uh, it may work. Uh, 243 00:12:56,600 --> 00:12:59,400 Speaker 1: you know, time will tell. I think the issue is 244 00:12:59,440 --> 00:13:01,560 Speaker 1: that there is a single agreement that will solve the 245 00:13:01,600 --> 00:13:04,400 Speaker 1: problem anything that is done or agreed over the next 246 00:13:04,440 --> 00:13:06,960 Speaker 1: few months. These are long term issues that will be 247 00:13:07,000 --> 00:13:10,280 Speaker 1: coming back to and talking to China with for years 248 00:13:10,280 --> 00:13:13,160 Speaker 1: and years ahead. And it's really much more about the 249 00:13:13,240 --> 00:13:15,959 Speaker 1: kind of relationship you're able to develop with China to 250 00:13:16,040 --> 00:13:19,520 Speaker 1: manage these issues, I think, much more than any particular 251 00:13:19,559 --> 00:13:23,240 Speaker 1: deal that you may sign. Christopher Smart, thank you so 252 00:13:23,320 --> 00:13:25,679 Speaker 1: much for being with us. Christopher Smart, head of Bearings 253 00:13:25,720 --> 00:13:29,720 Speaker 1: Investment Institute Bearings Overseas more than three hundred billion dollars 254 00:13:29,720 --> 00:13:33,520 Speaker 1: coming to us from Boston. Christopher really raises some interesting points, 255 00:13:33,520 --> 00:13:36,520 Speaker 1: which is this is not that big of a departure 256 00:13:36,559 --> 00:13:40,280 Speaker 1: from previous administrations in terms of trying to address the U. S. 257 00:13:40,360 --> 00:13:42,920 Speaker 1: China relationship when it comes to trade. It is just 258 00:13:43,040 --> 00:13:46,600 Speaker 1: a different approach and the question is will tariffs work? 259 00:13:46,720 --> 00:14:06,120 Speaker 1: And only time will tell. Well, we did get those 260 00:14:06,280 --> 00:14:10,480 Speaker 1: weaker than expected retail sales data figures out of the 261 00:14:10,559 --> 00:14:13,160 Speaker 1: US this morning. There is a question of what this 262 00:14:13,240 --> 00:14:16,240 Speaker 1: means for the consumer joining us now. Craig Johnson, president 263 00:14:16,280 --> 00:14:19,400 Speaker 1: of Customer Growth Partners, joining us in our eleven three 264 00:14:19,400 --> 00:14:21,800 Speaker 1: oh studios. Craig, thank you so much for being with us. 265 00:14:21,840 --> 00:14:24,480 Speaker 1: When you joined us back in February, you said that 266 00:14:24,520 --> 00:14:27,560 Speaker 1: the dismal, the dismal retail sales print that we saw 267 00:14:28,040 --> 00:14:31,160 Speaker 1: earlier in the year was calculated wrong and the you 268 00:14:31,200 --> 00:14:34,360 Speaker 1: expect five percent retail sales growth for this year. Do 269 00:14:34,400 --> 00:14:37,720 Speaker 1: you still see that to be the case after April's report? Well, 270 00:14:37,880 --> 00:14:40,560 Speaker 1: we were actually very encouraged by the April report because 271 00:14:41,320 --> 00:14:45,080 Speaker 1: we look at things on a year of year unadjusted basis, 272 00:14:45,240 --> 00:14:49,000 Speaker 1: and April sales ex autos, Excasole and X rests was 273 00:14:49,080 --> 00:14:52,920 Speaker 1: up five pe a touch above our forecast for the 274 00:14:53,040 --> 00:14:57,240 Speaker 1: year um and that shows very strong growth. The nominal 275 00:14:57,360 --> 00:15:00,400 Speaker 1: sequential zero point to growth, we think to fall to 276 00:15:00,400 --> 00:15:01,920 Speaker 1: the way to look fall the way to look at 277 00:15:01,960 --> 00:15:05,440 Speaker 1: things because the adjustment factors two to ten full points 278 00:15:05,440 --> 00:15:07,760 Speaker 1: in any given month, you know more than an order 279 00:15:07,760 --> 00:15:10,359 Speaker 1: of magnitude. So the question is as a point to 280 00:15:10,400 --> 00:15:15,080 Speaker 1: represent actual sales growth or the accuracy of the adjustment factor. 281 00:15:15,360 --> 00:15:17,560 Speaker 1: So but apples and apples the year of the year, 282 00:15:17,560 --> 00:15:21,480 Speaker 1: it's five point one up. So, Craig, we had Macy's report, 283 00:15:21,480 --> 00:15:23,360 Speaker 1: and we're gonna have a bunch of the big retailers 284 00:15:23,360 --> 00:15:26,760 Speaker 1: report their earnings coming up better than expected results out 285 00:15:26,760 --> 00:15:29,840 Speaker 1: of macy Today stocks trading up modestly. What did you 286 00:15:29,880 --> 00:15:32,960 Speaker 1: take out of the Macy's numbers, Well, the department store 287 00:15:33,040 --> 00:15:37,080 Speaker 1: sector is is very troubled now. And the zero point 288 00:15:37,120 --> 00:15:41,360 Speaker 1: seven percent comp they posted, it's like the old line 289 00:15:41,560 --> 00:15:43,240 Speaker 1: in the Land of the Blind and one eyed man 290 00:15:43,400 --> 00:15:48,120 Speaker 1: is king, and so of a sorry bunch um the 291 00:15:48,200 --> 00:15:51,960 Speaker 1: zero point seven it was a very credible thing, uh performance. 292 00:15:52,200 --> 00:15:55,520 Speaker 1: And the other aspect of it is the quarters started 293 00:15:55,520 --> 00:15:57,880 Speaker 1: out very slow. The first six or seven weeks of 294 00:15:57,880 --> 00:16:01,360 Speaker 1: the quarter were very slow, almost abysmal. Allen sharply and 295 00:16:01,400 --> 00:16:04,120 Speaker 1: so Mazie's ended up on a on a high note 296 00:16:04,240 --> 00:16:06,640 Speaker 1: entering May and we think it's that may well be 297 00:16:06,800 --> 00:16:10,240 Speaker 1: nicely positioned for um for summer and back to school. 298 00:16:10,800 --> 00:16:12,600 Speaker 1: Not that the point seven is going to be a pin, 299 00:16:12,840 --> 00:16:14,880 Speaker 1: you know, five percent, but it should creep up from 300 00:16:14,920 --> 00:16:17,360 Speaker 1: that point. So Greig I want to go back to 301 00:16:17,400 --> 00:16:19,240 Speaker 1: what you were just talking about with the fact that 302 00:16:19,280 --> 00:16:21,680 Speaker 1: you still are optimistic that the retail sales aut it 303 00:16:21,720 --> 00:16:24,160 Speaker 1: that we saw this morning was actually much more positive 304 00:16:24,200 --> 00:16:27,040 Speaker 1: than the market is reading it to be. What's the 305 00:16:27,080 --> 00:16:29,840 Speaker 1: market getting wrong because you saw so off deep end 306 00:16:29,920 --> 00:16:32,320 Speaker 1: after this data come out and you saw yields plunge 307 00:16:33,040 --> 00:16:35,520 Speaker 1: on on US treasury is given the fact that people 308 00:16:35,520 --> 00:16:39,360 Speaker 1: are pricing in slower growth without consumer support. Um, well, 309 00:16:39,600 --> 00:16:43,239 Speaker 1: I think there's a There's a couple of factors at play. UM. 310 00:16:43,400 --> 00:16:47,240 Speaker 1: One is the accuracy of the adjustment factor, and the 311 00:16:47,320 --> 00:16:51,480 Speaker 1: Census Bureau has been changing their methodology uh for calculating 312 00:16:51,480 --> 00:16:55,080 Speaker 1: the figure. And we believe that the adjustment factors retail 313 00:16:55,120 --> 00:16:58,520 Speaker 1: is changing so quickly um with the rise of the 314 00:16:58,560 --> 00:17:04,159 Speaker 1: Internet that um uh that the statistics generated by the 315 00:17:04,160 --> 00:17:07,439 Speaker 1: Censors Bureau, we think are faulty unless you look at 316 00:17:07,480 --> 00:17:10,119 Speaker 1: things on an unadjusted year of a year basis and 317 00:17:10,160 --> 00:17:13,719 Speaker 1: take online Online is by far the fastest growing sector 318 00:17:14,160 --> 00:17:18,680 Speaker 1: in December they showed since BREL showed like a one 319 00:17:18,760 --> 00:17:21,679 Speaker 1: percent growth for the Internet. That's that hasn't happened like 320 00:17:21,960 --> 00:17:24,680 Speaker 1: ever to have just a one percent growth, And then 321 00:17:24,720 --> 00:17:27,399 Speaker 1: now this month in April, year of a year, Uh, 322 00:17:27,440 --> 00:17:31,119 Speaker 1: it was aleven point nine. Um, so they're they're the 323 00:17:31,440 --> 00:17:35,639 Speaker 1: numbers are gradually improving on a accuracy basis, but we 324 00:17:35,720 --> 00:17:39,280 Speaker 1: think there are some questions about the methodology that over time, 325 00:17:39,320 --> 00:17:42,520 Speaker 1: hopeully'll get cleared up. So so Craig. When I look 326 00:17:42,560 --> 00:17:45,080 Speaker 1: at the Macy's release, I see a lot of talk 327 00:17:45,119 --> 00:17:47,960 Speaker 1: about from management by cutting costs. And I can understand 328 00:17:48,000 --> 00:17:50,600 Speaker 1: the need to cut costs in a in an environment, 329 00:17:50,600 --> 00:17:52,400 Speaker 1: in a business where there's not a lot of top 330 00:17:52,440 --> 00:17:54,360 Speaker 1: line growth. But at the same time, you feel like 331 00:17:54,960 --> 00:17:58,240 Speaker 1: the traditional retailers that department stores ought to be investing 332 00:17:58,320 --> 00:18:00,199 Speaker 1: in there maybe in their business trying to come but 333 00:18:00,320 --> 00:18:03,760 Speaker 1: new models, new ways to reach perhaps the the the 334 00:18:03,800 --> 00:18:06,399 Speaker 1: new consumer. How do you come out on balancing the 335 00:18:06,960 --> 00:18:10,320 Speaker 1: cost cuts to make your numbers versus spending to try 336 00:18:10,359 --> 00:18:12,880 Speaker 1: to drive top line growth. Well, I think your poll 337 00:18:13,000 --> 00:18:17,040 Speaker 1: your point is well taken. And Macy's and other smart 338 00:18:17,080 --> 00:18:20,200 Speaker 1: department stores, first of all, they they're beginning to recognize 339 00:18:20,200 --> 00:18:23,840 Speaker 1: that they they work in a declining sector. Um it's 340 00:18:24,560 --> 00:18:27,320 Speaker 1: department stares. Traditional department store is only comprised about one 341 00:18:27,359 --> 00:18:30,120 Speaker 1: point three percent of over our retail sales, So it's 342 00:18:30,119 --> 00:18:34,000 Speaker 1: a declining size of the pie. And so a store 343 00:18:34,080 --> 00:18:36,600 Speaker 1: like Macy's, which has six D eight unit fleet, needs 344 00:18:36,640 --> 00:18:39,760 Speaker 1: to trim the fleet on the one hand, but ramp 345 00:18:39,880 --> 00:18:42,560 Speaker 1: up what they call their growth fifty, which is growth 346 00:18:42,560 --> 00:18:45,760 Speaker 1: one fifty, which is the premier stores that are actually 347 00:18:45,920 --> 00:18:48,280 Speaker 1: you know, pulling the train there, and they need to 348 00:18:49,000 --> 00:18:54,399 Speaker 1: dump about another hundred stores that are just not pulling 349 00:18:54,440 --> 00:18:58,120 Speaker 1: their weight. So I wanted to sort of broaden out 350 00:18:58,160 --> 00:19:01,360 Speaker 1: here with respect to retailers because we talked about sort 351 00:19:01,359 --> 00:19:04,600 Speaker 1: of the weakening consumer. You think is is a data issue, 352 00:19:04,680 --> 00:19:06,720 Speaker 1: but what about tariffs? I mean, how much can these 353 00:19:06,720 --> 00:19:09,600 Speaker 1: retailers absorb the costs? How much can they pass it along? 354 00:19:09,880 --> 00:19:12,840 Speaker 1: And what are you expecting there? Well, um, we did 355 00:19:12,840 --> 00:19:16,720 Speaker 1: a study that shows about everything that's been enacted now, 356 00:19:16,760 --> 00:19:19,320 Speaker 1: in other words, through I think it was May ten um, 357 00:19:19,640 --> 00:19:26,000 Speaker 1: the households would have an incremental um uh burden of 358 00:19:26,040 --> 00:19:29,439 Speaker 1: about five and sixty dollars per household. And to put 359 00:19:29,520 --> 00:19:33,600 Speaker 1: that in perspective, collectively across retail, that represents about zero 360 00:19:33,640 --> 00:19:38,040 Speaker 1: point nine of total sales, which is not nothing, but 361 00:19:38,160 --> 00:19:41,720 Speaker 1: it's not zero, but it's not some huge burden. And 362 00:19:42,080 --> 00:19:47,399 Speaker 1: what happens is is that UM retailers UH or brands 363 00:19:47,400 --> 00:19:49,439 Speaker 1: that try to raise prices are going to meet a 364 00:19:49,440 --> 00:19:53,359 Speaker 1: lot of price resistance from the consumer. And if the 365 00:19:53,400 --> 00:19:56,119 Speaker 1: retailer or the brand is smart, they will take that 366 00:19:56,200 --> 00:19:59,000 Speaker 1: pressure from consumers and work it right back up the 367 00:19:59,080 --> 00:20:05,560 Speaker 1: supply chain. UM. So example, number one known branded consumer 368 00:20:05,600 --> 00:20:08,560 Speaker 1: product coming out of China's chin Dao. Let's say the 369 00:20:08,640 --> 00:20:12,200 Speaker 1: landed cost of a six packs four bucks, and they 370 00:20:12,240 --> 00:20:16,119 Speaker 1: try to raise that up UH, and after wholesale and 371 00:20:16,160 --> 00:20:18,800 Speaker 1: retail margins, they're going to get something around the webbin 372 00:20:18,880 --> 00:20:22,879 Speaker 1: dollars well from what might be now about nine and 373 00:20:22,920 --> 00:20:26,560 Speaker 1: a half or ten dollars. Consumers will flock out of that, 374 00:20:26,600 --> 00:20:28,560 Speaker 1: they'll bail out of chin Dao, and if they want 375 00:20:28,560 --> 00:20:30,040 Speaker 1: to keep the business, they're going to have to eat 376 00:20:30,080 --> 00:20:32,720 Speaker 1: eat some of you. That's it would be interesting to see. 377 00:20:32,720 --> 00:20:34,440 Speaker 1: It's a very good point about, you know, how much 378 00:20:34,480 --> 00:20:37,879 Speaker 1: will be passed along the consumers or will be taken 379 00:20:37,920 --> 00:20:41,879 Speaker 1: by the supply chain. Craig Johnson, president of Customer Growth Partners, 380 00:20:41,960 --> 00:20:44,520 Speaker 1: joining us here in our Bloomberg Interactive Broker Studio talking 381 00:20:44,520 --> 00:20:49,080 Speaker 1: about Macy's talking about the retail sales number UH Craig says, 382 00:20:49,080 --> 00:20:51,360 Speaker 1: you know, a year of a year better than the 383 00:20:51,400 --> 00:20:54,400 Speaker 1: headline looks, and also talking about tariffs and the impact 384 00:20:54,480 --> 00:21:12,919 Speaker 1: on the consumer end on retail spending. Well, two of 385 00:21:13,000 --> 00:21:16,080 Speaker 1: the tech giants out of China reported earnings, Ali Baba, 386 00:21:16,119 --> 00:21:20,040 Speaker 1: Intense Cent. Both stocks are up about one to two today. 387 00:21:20,359 --> 00:21:22,720 Speaker 1: So to dig deeper into those earnings, so what it 388 00:21:22,840 --> 00:21:26,320 Speaker 1: might mean about the underlying Chinese economy the Chinese consumer, 389 00:21:26,720 --> 00:21:29,359 Speaker 1: we turned to Lulu Chen. Lulu is a reporter for 390 00:21:29,400 --> 00:21:33,520 Speaker 1: Bloomberg News based in Hong Kong. Lulu, thanks for staying 391 00:21:33,600 --> 00:21:35,879 Speaker 1: up late to be with us. Let's start with Ali 392 00:21:35,960 --> 00:21:39,080 Speaker 1: Baba first. What are the takeaways the highlights for you 393 00:21:39,119 --> 00:21:42,359 Speaker 1: from the Ali Baba earnings? So for Ali Baba, it 394 00:21:42,440 --> 00:21:46,080 Speaker 1: proved to be really resilient, especially given how the economy 395 00:21:46,119 --> 00:21:48,800 Speaker 1: has not been doing that great in China. Um, if 396 00:21:48,840 --> 00:21:51,919 Speaker 1: you look at their core e commerce business, social really 397 00:21:51,960 --> 00:21:55,199 Speaker 1: strong growth there. And then also the key metric that 398 00:21:55,359 --> 00:21:59,520 Speaker 1: people are looking at is their customer management revenue and 399 00:21:59,640 --> 00:22:03,720 Speaker 1: that's where advertising is included. That posted a thirty one 400 00:22:03,760 --> 00:22:07,679 Speaker 1: percent growth, definitely a pickup and showing the fact that 401 00:22:07,720 --> 00:22:12,119 Speaker 1: the company is able to monetize what it has been 402 00:22:12,119 --> 00:22:15,920 Speaker 1: trying to push out a new initiative called recommendation feed 403 00:22:16,080 --> 00:22:21,040 Speaker 1: and based on what consumers like their past shopping experiences, 404 00:22:21,119 --> 00:22:23,720 Speaker 1: and and that has able been able to help the 405 00:22:23,760 --> 00:22:27,800 Speaker 1: company leare more consumers to buy products on the on 406 00:22:27,840 --> 00:22:31,960 Speaker 1: the site, and and returns also get advertisers to spend 407 00:22:32,000 --> 00:22:35,160 Speaker 1: more money as well. So Lulu, the fact that Ali 408 00:22:35,200 --> 00:22:39,359 Speaker 1: Baba posted sales and earnings that both topped estimates, is 409 00:22:39,400 --> 00:22:42,600 Speaker 1: this a sign that the Chinese consumer is stronger than 410 00:22:42,680 --> 00:22:44,840 Speaker 1: some people are giving them credit for, or is this 411 00:22:44,880 --> 00:22:47,840 Speaker 1: a sign that Ali Baba is simply consolidating the market share. 412 00:22:48,800 --> 00:22:51,880 Speaker 1: I think if you look at the total transaction figures, 413 00:22:51,880 --> 00:22:54,720 Speaker 1: the growth was not that strong. So I don't think 414 00:22:54,760 --> 00:22:58,199 Speaker 1: that Chinese e commerce as a whole is immune to 415 00:22:58,280 --> 00:23:02,400 Speaker 1: the slowdown and macro economy. But Ali Baba has been 416 00:23:02,440 --> 00:23:07,360 Speaker 1: managing to do really well as um introduced this thing 417 00:23:07,480 --> 00:23:11,480 Speaker 1: called recommendations based feeds, and it's really using the eye 418 00:23:11,480 --> 00:23:16,639 Speaker 1: and algorithms to show different people different user interfaces and 419 00:23:16,720 --> 00:23:21,080 Speaker 1: product fees and that and return generates more shopping h 420 00:23:21,400 --> 00:23:25,000 Speaker 1: churn from users, and for advertisers, what they want is 421 00:23:25,080 --> 00:23:28,640 Speaker 1: to make sure that there are a lot their their 422 00:23:28,680 --> 00:23:33,040 Speaker 1: dollar is spent in the right places and so for them, uh, 423 00:23:33,240 --> 00:23:36,080 Speaker 1: it's also great to know that they're targeting the right 424 00:23:36,160 --> 00:23:39,600 Speaker 1: users when they spent those advertising dollars. So Ali Baba 425 00:23:39,640 --> 00:23:42,720 Speaker 1: has really been hunting in on that. So let's switch 426 00:23:42,760 --> 00:23:48,479 Speaker 1: gears to ten Cent, another large Chinese technology company. They 427 00:23:48,560 --> 00:23:51,480 Speaker 1: reported as well, what were your takeaways there? That stock 428 00:23:51,520 --> 00:23:53,440 Speaker 1: has not been as strong a performer, you know over 429 00:23:53,480 --> 00:23:57,040 Speaker 1: the its recent past as Ali Baba has been. Yeah, 430 00:23:57,080 --> 00:23:59,280 Speaker 1: it's a it's a next picture for a ten Cent, 431 00:23:59,440 --> 00:24:03,359 Speaker 1: I guess. They also showed signs of recovery definitely. Analysts 432 00:24:03,359 --> 00:24:06,240 Speaker 1: are saying that the worst is behind us, given how 433 00:24:06,480 --> 00:24:10,240 Speaker 1: brutal the past year has been, especially with the regulatary crackdowns. 434 00:24:10,560 --> 00:24:14,280 Speaker 1: At least for now, their their game approval. The pipelines 435 00:24:14,359 --> 00:24:18,760 Speaker 1: are back on UM. The company is rolling out this 436 00:24:18,800 --> 00:24:23,639 Speaker 1: new game called a Peacekeeper Leak, and it's sort of 437 00:24:23,680 --> 00:24:27,760 Speaker 1: in the same drama as Battle Royale, UM in the 438 00:24:27,800 --> 00:24:31,639 Speaker 1: same vein as pup G and also Fortnite. So a 439 00:24:31,800 --> 00:24:34,720 Speaker 1: good game breaks in twenty million dollars within the first 440 00:24:34,720 --> 00:24:38,880 Speaker 1: five days that there is. Also, user reviews are kind 441 00:24:38,920 --> 00:24:41,960 Speaker 1: of a mixed bag as well, so we still need 442 00:24:42,040 --> 00:24:44,880 Speaker 1: some more time to see whether Tencent can really get 443 00:24:44,920 --> 00:24:48,280 Speaker 1: back to its glory days where they were just posting 444 00:24:48,359 --> 00:24:52,080 Speaker 1: so much revenue growth UM based on share gaming demand. 445 00:24:52,560 --> 00:24:55,280 Speaker 1: You know, there was a stunning statistic in ten cents 446 00:24:55,320 --> 00:24:58,520 Speaker 1: earnings that the cash the company spent on investing in 447 00:24:58,560 --> 00:25:02,840 Speaker 1: other companies was at from the year before. How barished 448 00:25:03,000 --> 00:25:06,879 Speaker 1: is that for the entire tech sector in China. UM 449 00:25:07,040 --> 00:25:10,919 Speaker 1: that statistic is is based on I think what the 450 00:25:10,960 --> 00:25:14,600 Speaker 1: company really said was that the amount that they spent 451 00:25:14,880 --> 00:25:18,920 Speaker 1: on cash for investing and its investing as a whole 452 00:25:19,880 --> 00:25:24,119 Speaker 1: has actually dropped in UH. Investing in Portofolio companies is 453 00:25:24,160 --> 00:25:29,120 Speaker 1: definitely part of that UM for Tencent. UM management has 454 00:25:29,160 --> 00:25:32,400 Speaker 1: always been very adamant and since that they said, they 455 00:25:32,440 --> 00:25:35,360 Speaker 1: say that they're going to keep investing. The company has 456 00:25:35,440 --> 00:25:39,160 Speaker 1: invested in more than seven companies globally. I don't think 457 00:25:39,160 --> 00:25:42,720 Speaker 1: they're backtracking from that strategy as of now. So the 458 00:25:42,880 --> 00:25:46,199 Speaker 1: Legitio briefly did either company, how any commentary what they 459 00:25:46,240 --> 00:25:49,359 Speaker 1: thought or how they thought trade negotiations would go. Yeah, 460 00:25:49,400 --> 00:25:52,879 Speaker 1: Ali Baba um Joe's Hive vice chairman for Ali Baba 461 00:25:53,320 --> 00:25:57,160 Speaker 1: was very vocal about this. UM. He tried to obviously 462 00:25:57,240 --> 00:26:00,440 Speaker 1: put a positive spin on it and say that as 463 00:26:00,480 --> 00:26:04,240 Speaker 1: part of the negotiation for the trade wars, China will 464 00:26:04,320 --> 00:26:08,040 Speaker 1: become a net import country. And Ali Baba has been 465 00:26:08,080 --> 00:26:10,879 Speaker 1: positioning for this for a very long period of time. 466 00:26:11,280 --> 00:26:15,040 Speaker 1: They really want to leverage their cross border transaction UH 467 00:26:15,119 --> 00:26:20,840 Speaker 1: infrastructure UH to fully help OTHERIR exporters outside of China 468 00:26:20,960 --> 00:26:24,080 Speaker 1: to sell to train consumers. And it's all part of 469 00:26:24,119 --> 00:26:27,159 Speaker 1: the whole consumption upgrade narrative that they've been talking for 470 00:26:27,240 --> 00:26:29,760 Speaker 1: many years. Very good, Lulu Chen, Thank you so much. 471 00:26:29,920 --> 00:26:33,840 Speaker 1: Lulu's reporter for Bloomberg News in Hong Kong, staying up 472 00:26:33,920 --> 00:26:36,560 Speaker 1: late to cover the Ali Baba intencent earnings and to 473 00:26:36,600 --> 00:26:39,120 Speaker 1: share her thoughts with us. We appreciate that. Again, Ali 474 00:26:39,160 --> 00:26:42,359 Speaker 1: Bab inten sent to Chinese tech giants reporting earnings. I 475 00:26:42,359 --> 00:26:44,960 Speaker 1: think Ali Baba people really look at the Alibaba story 476 00:26:45,080 --> 00:26:48,359 Speaker 1: really as a call on or a view into the 477 00:26:48,440 --> 00:26:52,280 Speaker 1: Chinese consumer and consumer spending. And you know, good numbers, Lisa, 478 00:26:52,400 --> 00:26:55,040 Speaker 1: and I think you know, at least in the short term, um, 479 00:26:55,400 --> 00:26:57,560 Speaker 1: you know, not much of an impact from the trade uncertainty, 480 00:26:57,600 --> 00:27:00,600 Speaker 1: but obviously it'll be quarters to come to see how 481 00:27:00,760 --> 00:27:04,879 Speaker 1: the Chinese consumer really responds to trade uncertainty. Thanks for 482 00:27:04,880 --> 00:27:07,119 Speaker 1: listening to the Bloomberg P and L podcast. You can 483 00:27:07,119 --> 00:27:09,960 Speaker 1: subscribe and listen to interviews at Apple Podcasts or whatever 484 00:27:10,000 --> 00:27:13,000 Speaker 1: podcast platform you prefer. I'm Paul Sweeney. I'm on Twitter 485 00:27:13,080 --> 00:27:15,680 Speaker 1: at pt Sweeney. I'm Lisa abram Woyits I'm on Twitter 486 00:27:15,760 --> 00:27:18,399 Speaker 1: at Lisa abram Woits One. Before the podcast, you can 487 00:27:18,400 --> 00:27:20,840 Speaker 1: always catch us worldwide on Bloomberg Radio