1 00:00:02,520 --> 00:00:09,920 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:10,920 --> 00:00:13,800 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Krisner. We 3 00:00:13,880 --> 00:00:17,520 Speaker 2: have a new wave of uncertainty after the Supreme Court 4 00:00:17,560 --> 00:00:22,320 Speaker 2: struck down President Trump's emergency tariffs. Earlier on truth Social 5 00:00:22,360 --> 00:00:24,959 Speaker 2: the President said he will put much higher tariffs on 6 00:00:25,000 --> 00:00:28,560 Speaker 2: countries that quote play games with that high Court ruling. 7 00:00:28,760 --> 00:00:31,120 Speaker 2: And now we are being told the White House is 8 00:00:31,160 --> 00:00:34,480 Speaker 2: working to issue a formal directive to increase the rate 9 00:00:34,520 --> 00:00:38,000 Speaker 2: on global tariffs to fifteen percent, but it's not clear 10 00:00:38,240 --> 00:00:41,800 Speaker 2: if this order will be finalized before those ten percent 11 00:00:41,920 --> 00:00:45,160 Speaker 2: levies are set to go into effect Tuesday at twelve 12 00:00:45,240 --> 00:00:48,200 Speaker 2: oh one a m. Eastern time. By the way, Morgan 13 00:00:48,280 --> 00:00:51,880 Speaker 2: Stanley is estimating that the average tariff now on goods 14 00:00:51,920 --> 00:00:54,960 Speaker 2: from China will drop from a rate that is around 15 00:00:55,040 --> 00:00:58,640 Speaker 2: thirty two percent now down to twenty four percent. For 16 00:00:58,720 --> 00:01:01,280 Speaker 2: a look at what's happening in the Asia Pacific, I'm 17 00:01:01,320 --> 00:01:05,039 Speaker 2: joined by Bloomberg's Leontin II. She is Managing editor for 18 00:01:05,080 --> 00:01:09,280 Speaker 2: Asia Equities. Leonting joining from our studios in Singapore. Thank 19 00:01:09,319 --> 00:01:11,960 Speaker 2: you so much. There's so much to talk about. I 20 00:01:12,000 --> 00:01:14,360 Speaker 2: know that China is back online today. We're seeing a 21 00:01:14,400 --> 00:01:17,160 Speaker 2: little bit of positivity in the equity market. How much 22 00:01:17,160 --> 00:01:20,080 Speaker 2: of this story do you think is related to the 23 00:01:20,080 --> 00:01:22,600 Speaker 2: Supreme Court's ruling on tariffs? 24 00:01:23,200 --> 00:01:27,559 Speaker 3: Yeah, I think for China definitely, it is an outstanding 25 00:01:27,640 --> 00:01:32,559 Speaker 3: winner out of the Supreme Court ruling, just because China 26 00:01:32,680 --> 00:01:36,400 Speaker 3: without that ten percent fentan or tariff, China's now having 27 00:01:36,440 --> 00:01:40,520 Speaker 3: the same tariff rate with all the other trading partners 28 00:01:40,600 --> 00:01:43,679 Speaker 3: with the US. So you can see yesterday the Hong 29 00:01:43,800 --> 00:01:46,800 Speaker 3: Kong stock market rallied pretty hard. I think the biggest 30 00:01:46,840 --> 00:01:50,600 Speaker 3: gainer out of Asia on that particular news, and of 31 00:01:50,640 --> 00:01:55,160 Speaker 3: course India was also considered part of that winners, part 32 00:01:55,160 --> 00:01:57,840 Speaker 3: of the winners, but I think overall people still think 33 00:01:57,960 --> 00:02:01,480 Speaker 3: China would hire Beta to be again with its stock market, 34 00:02:01,600 --> 00:02:04,640 Speaker 3: so there is more to gain for Chinese stocks. 35 00:02:04,840 --> 00:02:07,760 Speaker 2: Maybe we can talk a little bit now about artificial intelligence. 36 00:02:07,800 --> 00:02:10,600 Speaker 2: We had a rugged session in the States where equities 37 00:02:10,680 --> 00:02:14,359 Speaker 2: retreated on a little bit more anxiety over this AI 38 00:02:14,480 --> 00:02:18,200 Speaker 2: disruption theme. We had a report from Satrini Research and 39 00:02:18,240 --> 00:02:21,440 Speaker 2: they laid out a couple of different scenarios I want 40 00:02:21,480 --> 00:02:25,239 Speaker 2: to focus on too, One where delivery apps like door 41 00:02:25,320 --> 00:02:29,440 Speaker 2: Dash and Uber Eats are displaced by chatbot made alternatives 42 00:02:30,240 --> 00:02:35,040 Speaker 2: and in another scenario, a case where AI agents try 43 00:02:35,040 --> 00:02:39,720 Speaker 2: to save users' money by eliminating transaction fees charged by 44 00:02:40,200 --> 00:02:43,720 Speaker 2: payment processing firms like master Card and Visa. I'm curious 45 00:02:43,760 --> 00:02:47,920 Speaker 2: ly hunting about the conversation in the Asia Pacific regarding 46 00:02:48,040 --> 00:02:50,240 Speaker 2: AI disruption. What's it sound like to you? 47 00:02:51,080 --> 00:02:57,040 Speaker 3: Yeah, it does feel very pasimistic, very dystopian when you 48 00:02:57,120 --> 00:03:02,560 Speaker 3: read that article. I think traders very much interested in 49 00:03:02,720 --> 00:03:06,160 Speaker 3: the kind of scenario and analysis and how you know, 50 00:03:06,360 --> 00:03:10,120 Speaker 3: the kind of technology will translate to job losses and 51 00:03:10,600 --> 00:03:14,880 Speaker 3: also profit losses for many of the companies, especially the 52 00:03:14,960 --> 00:03:21,240 Speaker 3: intermediary companies like the food delivery companies. And you know, 53 00:03:21,400 --> 00:03:26,480 Speaker 3: anything that has is aimed to reduce friction is actually 54 00:03:26,560 --> 00:03:29,919 Speaker 3: going to be the first to be heard by all 55 00:03:29,960 --> 00:03:33,680 Speaker 3: these AI developments in Asia. Though, I think people are 56 00:03:33,720 --> 00:03:36,920 Speaker 3: looking for winners, right. We talked about how Asia, a 57 00:03:36,960 --> 00:03:40,400 Speaker 3: lot of Asia tech giants are really positioned to be, 58 00:03:40,880 --> 00:03:43,560 Speaker 3: you know, the beneficiaries in this AI boom in the 59 00:03:43,640 --> 00:03:47,560 Speaker 3: data center build out. Again, we actually saw s Khanis 60 00:03:47,680 --> 00:03:52,520 Speaker 3: jumping almost five percent during the period when the treaty. 61 00:03:53,000 --> 00:03:56,160 Speaker 3: The report co writer A lap Show was being interviewed 62 00:03:56,200 --> 00:03:59,200 Speaker 3: on BTV just now, so as you can see, people 63 00:03:59,200 --> 00:04:01,840 Speaker 3: are really tuning into what he has to say and 64 00:04:02,320 --> 00:04:05,480 Speaker 3: are really looking for winners. And Taiwan today is another 65 00:04:05,520 --> 00:04:09,280 Speaker 3: standout winner. TSMC was almost mentioned, I believe in that 66 00:04:09,440 --> 00:04:13,160 Speaker 3: report and TSMC and Taiwan, all these smaller makers today 67 00:04:13,200 --> 00:04:15,680 Speaker 3: having a great day, up seven percent or so last 68 00:04:15,720 --> 00:04:18,200 Speaker 3: time I checked. So I think in Asia again, that's 69 00:04:18,279 --> 00:04:23,040 Speaker 3: reinforced the narrative that biggest winners in this AI trade 70 00:04:23,360 --> 00:04:26,680 Speaker 3: are in Asia and of course in the US. You know, 71 00:04:26,800 --> 00:04:30,080 Speaker 3: a lot of the intermediaries are listed in the US 72 00:04:30,160 --> 00:04:32,880 Speaker 3: and not a lot of those things are listed in Asia. 73 00:04:32,960 --> 00:04:36,200 Speaker 3: That also sort of explains why Asia is not considered 74 00:04:36,200 --> 00:04:37,880 Speaker 3: a little bit of a haven right now in this 75 00:04:38,000 --> 00:04:39,160 Speaker 3: AI scare trade. 76 00:04:39,400 --> 00:04:41,360 Speaker 2: I was just looking at a story on the Bloomberg 77 00:04:41,400 --> 00:04:44,719 Speaker 2: earlier today describing about something that happened over the holiday 78 00:04:44,720 --> 00:04:48,240 Speaker 2: on the mainland where a few Chinese firms showed off 79 00:04:48,440 --> 00:04:53,039 Speaker 2: new humanoid robots at the annual Spring Festival gala. Is 80 00:04:53,080 --> 00:04:55,560 Speaker 2: there a lot in the way of enthusiasm when it 81 00:04:55,600 --> 00:04:57,960 Speaker 2: comes to robotics on the mainland. 82 00:04:58,160 --> 00:05:02,320 Speaker 3: Yes, we actually I saw that playing out last year 83 00:05:02,320 --> 00:05:05,880 Speaker 3: at around this time after the Spring Festival gala where 84 00:05:06,360 --> 00:05:10,080 Speaker 3: robotics are robots, i should say, showed off their dancing skills. 85 00:05:10,320 --> 00:05:13,960 Speaker 3: What's different this time around is the moves that you 86 00:05:14,080 --> 00:05:18,400 Speaker 3: saw in the performance was a lot more advanced. It 87 00:05:18,480 --> 00:05:23,040 Speaker 3: seems the development has really sped up during that one 88 00:05:23,120 --> 00:05:26,640 Speaker 3: year period. Uh, these robots were able to play kung fu, 89 00:05:26,960 --> 00:05:29,719 Speaker 3: were able to do backflips and land on their feet, 90 00:05:30,640 --> 00:05:34,919 Speaker 3: So it does excite investors. Of course, a lot of 91 00:05:34,920 --> 00:05:38,200 Speaker 3: people have warned that, you know, the real user case 92 00:05:38,240 --> 00:05:41,080 Speaker 3: for those robots. You know, they looked great on TV, 93 00:05:41,320 --> 00:05:44,720 Speaker 3: but they don't see a lot of sort of revenue 94 00:05:44,760 --> 00:05:48,920 Speaker 3: generation venues as if yet for these robotic companies. And 95 00:05:49,360 --> 00:05:53,040 Speaker 3: there's also a lot of competition in this robotic sector 96 00:05:53,800 --> 00:05:57,320 Speaker 3: in China, so in terms of long term investment in 97 00:05:57,320 --> 00:06:00,520 Speaker 3: that sector, some people have warned that there's not a 98 00:06:00,520 --> 00:06:03,360 Speaker 3: lot of visibility on profit generation. 99 00:06:03,720 --> 00:06:05,960 Speaker 2: So as long as we're talking about the holiday period, 100 00:06:06,000 --> 00:06:09,440 Speaker 2: I'm curious as to whether you've seen any high frequency 101 00:06:09,600 --> 00:06:12,279 Speaker 2: data on things like travel and spending that may give 102 00:06:12,320 --> 00:06:16,279 Speaker 2: us some sense of how well the consumer was engaged 103 00:06:16,360 --> 00:06:18,479 Speaker 2: during the lunar New Year festivities. 104 00:06:19,279 --> 00:06:22,680 Speaker 3: Yeah, there have been a slew of data, especially on 105 00:06:22,760 --> 00:06:28,280 Speaker 3: travel stats, and they are overwhelmingly positive. One st that 106 00:06:28,400 --> 00:06:31,800 Speaker 3: stood out to me was bookings for family trips over 107 00:06:31,800 --> 00:06:35,120 Speaker 3: the lunar New Year periods jumped seventy six percent year 108 00:06:35,200 --> 00:06:37,560 Speaker 3: over year. That's a big jump. And I was just 109 00:06:37,600 --> 00:06:40,440 Speaker 3: talking to some Millan colleagues an hour ago and they 110 00:06:40,480 --> 00:06:44,640 Speaker 3: were talking about how packed and crowded those big cities 111 00:06:45,000 --> 00:06:49,760 Speaker 3: award during that New Year period with tourists and hotels 112 00:06:50,120 --> 00:06:54,599 Speaker 3: apparently were really booked out and hotel rates quadrupled this 113 00:06:54,720 --> 00:06:58,080 Speaker 3: time around, but spending was still very strong. So it 114 00:06:58,120 --> 00:07:02,039 Speaker 3: does seem like people took advantage of this elongated period 115 00:07:02,040 --> 00:07:04,440 Speaker 3: this time nine day I think is the longest Lunar 116 00:07:04,440 --> 00:07:08,159 Speaker 3: New Year period ever to really enjoy the time with family, 117 00:07:08,240 --> 00:07:10,960 Speaker 3: and they chose to spend in a different city, you know, 118 00:07:11,000 --> 00:07:14,400 Speaker 3: have different experience. So I would say that part is 119 00:07:14,440 --> 00:07:16,920 Speaker 3: really positive. But on the other side, there's also some 120 00:07:17,760 --> 00:07:20,960 Speaker 3: weak data point out of box office. According to City, 121 00:07:21,000 --> 00:07:23,920 Speaker 3: the box office data out of this New Year period 122 00:07:24,160 --> 00:07:28,200 Speaker 3: was the weakest since twenty eighteen. Seems there wasn't enough 123 00:07:28,400 --> 00:07:32,920 Speaker 3: interesting content to draw viewers into the cinema, so that 124 00:07:33,080 --> 00:07:34,600 Speaker 3: is considered negative. 125 00:07:34,680 --> 00:07:37,080 Speaker 2: Of course, Before I let you go, Leon Tink, maybe 126 00:07:37,120 --> 00:07:39,400 Speaker 2: we can talk a little bit about Japan, because I 127 00:07:39,440 --> 00:07:42,960 Speaker 2: know we have later in the week data on Tokyo inflation. 128 00:07:43,040 --> 00:07:48,280 Speaker 2: Also Japanese retail sales. The equity market has been fairly robust. 129 00:07:48,720 --> 00:07:52,119 Speaker 2: We know that Prime Minister Takeiichi is insisting on trying 130 00:07:52,160 --> 00:07:54,360 Speaker 2: to provide a little bit of stimulus to the economy, 131 00:07:54,360 --> 00:07:57,800 Speaker 2: and I know there is a very very sharp focus 132 00:07:57,840 --> 00:08:01,440 Speaker 2: on trying to relieve some of the inflationary pressures here. 133 00:08:01,880 --> 00:08:04,400 Speaker 2: What are you hearing with respect to Japan? What are 134 00:08:04,440 --> 00:08:06,640 Speaker 2: some of the stories that people are talking about today. 135 00:08:07,280 --> 00:08:11,600 Speaker 3: Yeah, two things. One is the Supreme Court ruling implication 136 00:08:11,720 --> 00:08:14,720 Speaker 3: on Japan, and the other of courses is AI trade. 137 00:08:14,840 --> 00:08:17,400 Speaker 3: I would say for the first one, Japan net net 138 00:08:17,440 --> 00:08:21,000 Speaker 3: is considered neutral because Japan had a fifteen percent terriff 139 00:08:21,040 --> 00:08:23,640 Speaker 3: deal with the US before, and the US, of course, 140 00:08:23,680 --> 00:08:27,600 Speaker 3: Trump has mentioned he's going to have that fifteen percent 141 00:08:27,720 --> 00:08:31,080 Speaker 3: teriffun all trading partners. So on that front, I think 142 00:08:31,400 --> 00:08:33,600 Speaker 3: we're not seeing a lot of reaction out of japan 143 00:08:33,640 --> 00:08:37,640 Speaker 3: auto makers. Last time I checked, we're up. And if 144 00:08:37,679 --> 00:08:41,600 Speaker 3: you look at AI, Japan does have some software companies 145 00:08:41,640 --> 00:08:44,800 Speaker 3: and payment companies listed and today they are having a 146 00:08:44,800 --> 00:08:47,839 Speaker 3: bit of sell off. But There are also a lot 147 00:08:47,880 --> 00:08:51,040 Speaker 3: of heavy weighted Japanese companies on the NICKETD to five 148 00:08:51,440 --> 00:08:54,640 Speaker 3: that are actually you know, chip equipment makers, so we're 149 00:08:54,640 --> 00:08:58,440 Speaker 3: looking at Advantest, Tokyo Electron. All these guys are actually 150 00:08:58,480 --> 00:09:00,480 Speaker 3: having a great day. So we talk a lot about 151 00:09:00,559 --> 00:09:04,080 Speaker 3: Korea and Taiwan being well positioned in the supply chain. 152 00:09:04,280 --> 00:09:07,200 Speaker 3: Japan actually has a lot of these names as well, 153 00:09:07,240 --> 00:09:09,640 Speaker 3: so that's why you see Nick turning more and more 154 00:09:09,640 --> 00:09:11,360 Speaker 3: positive as a day goes on. 155 00:09:11,880 --> 00:09:14,120 Speaker 2: We'll leave it there, Leon ting It's always a pleasure. 156 00:09:14,120 --> 00:09:16,800 Speaker 2: Thank you so very much. Leon ting Ti is Managing 157 00:09:16,920 --> 00:09:20,240 Speaker 2: editor for Asia Equities, joining from our studios in Singapore 158 00:09:20,280 --> 00:09:30,880 Speaker 2: here on the Daybreak Asia podcast. Welcome back to the 159 00:09:30,960 --> 00:09:34,160 Speaker 2: Daybreak Asia Podcast. I'm Doug Prisner. In the States, the 160 00:09:34,200 --> 00:09:37,760 Speaker 2: equity market retreated on renewed anxiety over the impact of 161 00:09:37,840 --> 00:09:42,640 Speaker 2: artificial intelligence as well as uncertainty over US tariff policy, 162 00:09:42,800 --> 00:09:46,000 Speaker 2: and that's where we begin our conversation with Ethan Devitt. 163 00:09:46,240 --> 00:09:50,040 Speaker 2: Ethan is managing director at Monetic Global Wealth, and she 164 00:09:50,120 --> 00:09:53,480 Speaker 2: spoke with Bloomberg TV host Heidi Stroud, Watts and Sherry 165 00:09:53,520 --> 00:09:54,200 Speaker 2: on we. 166 00:09:54,160 --> 00:09:59,200 Speaker 1: Sort of see this continuation of the momentum driven stock reversal. Right, 167 00:09:59,320 --> 00:10:01,080 Speaker 1: what do you make of this in terms of how 168 00:10:01,200 --> 00:10:03,320 Speaker 1: you know? Definitely you have to navigate given that I 169 00:10:03,360 --> 00:10:05,719 Speaker 1: know that you're still looking for some of those opportunities 170 00:10:05,760 --> 00:10:08,040 Speaker 1: within the AI and software spaces. 171 00:10:09,360 --> 00:10:11,600 Speaker 4: Well, it's a great question. I'm based in London, but 172 00:10:11,640 --> 00:10:14,000 Speaker 4: I've been watching this blizzard going on on the east 173 00:10:14,080 --> 00:10:15,840 Speaker 4: coast of the US and this is a blizzard of 174 00:10:15,880 --> 00:10:19,160 Speaker 4: information too that we're having to cope with. And it 175 00:10:19,240 --> 00:10:22,760 Speaker 4: is extraordinary that we have now had this cascade through 176 00:10:22,760 --> 00:10:25,920 Speaker 4: different sectors. Remember we started with the SAS and software 177 00:10:25,960 --> 00:10:29,079 Speaker 4: the service sector. It moved into my sector, private wealth, 178 00:10:29,280 --> 00:10:33,880 Speaker 4: with concern around the altruist tax preparation software disrupting that, 179 00:10:34,400 --> 00:10:38,319 Speaker 4: and now we're moving into just mainstream software areas. And 180 00:10:38,720 --> 00:10:43,160 Speaker 4: this is extraordinary that this basically magical thinking, fictitious report 181 00:10:43,480 --> 00:10:45,960 Speaker 4: could trigger this kind of concern. What we can see 182 00:10:46,000 --> 00:10:49,160 Speaker 4: therefore is just how jittery markets really are, just how 183 00:10:49,160 --> 00:10:52,240 Speaker 4: they're they're really selling first, asking questions later. 184 00:10:54,400 --> 00:10:57,040 Speaker 1: So when you talk about grid tech picks and shovels 185 00:10:57,120 --> 00:11:01,160 Speaker 1: around AI, would you be opportunity opportunistic right now even 186 00:11:01,280 --> 00:11:02,880 Speaker 1: with the high degree of uncertainty. 187 00:11:04,080 --> 00:11:05,959 Speaker 4: Yes, that has been something that we at Minetta have 188 00:11:06,000 --> 00:11:09,040 Speaker 4: been focused on for the past eighteen months, has been really, 189 00:11:09,160 --> 00:11:11,360 Speaker 4: as you mentioned, the picks and shovels. What is not 190 00:11:11,440 --> 00:11:14,800 Speaker 4: going to change as we have AI momentum come and go. 191 00:11:15,160 --> 00:11:17,160 Speaker 4: What is not going to change is the demand for 192 00:11:17,320 --> 00:11:20,600 Speaker 4: energy and we know that that is essentially just rising 193 00:11:20,679 --> 00:11:23,320 Speaker 4: around the world. We're looking at that coming from both 194 00:11:23,600 --> 00:11:27,720 Speaker 4: renewable energy sources, traditional energy sources and finding the picks 195 00:11:27,760 --> 00:11:30,560 Speaker 4: and shovels that play into that, and then a new sector, 196 00:11:30,600 --> 00:11:33,320 Speaker 4: grid tech, because that's where the uninvestment has been made. 197 00:11:33,360 --> 00:11:35,800 Speaker 4: The lack of investment has been in the grids, so 198 00:11:35,840 --> 00:11:39,000 Speaker 4: that we believe is sustained. It's perhaps not the momentum 199 00:11:39,040 --> 00:11:42,040 Speaker 4: side of markets right now. There's more of a defensive 200 00:11:42,080 --> 00:11:44,480 Speaker 4: and even value area, but we see that as been 201 00:11:44,559 --> 00:11:48,240 Speaker 4: very much adjacent to the AI story, but having legs 202 00:11:48,280 --> 00:11:50,839 Speaker 4: whereas AI is going to be more volatile. 203 00:11:52,679 --> 00:11:55,120 Speaker 5: And especially if we're focusing on that infrastructure build on 204 00:11:55,160 --> 00:11:57,720 Speaker 5: and video earnings will be so key. What will you 205 00:11:57,800 --> 00:11:58,319 Speaker 5: be watching. 206 00:12:00,040 --> 00:12:03,079 Speaker 4: We're going to be looking at the sustained demand and 207 00:12:03,160 --> 00:12:04,920 Speaker 4: how in Vidia. We know that that is going to 208 00:12:04,960 --> 00:12:07,920 Speaker 4: be an outlier that has been a market leader. It 209 00:12:08,040 --> 00:12:12,200 Speaker 4: is dominating the US stock market, but good a strong 210 00:12:12,240 --> 00:12:15,760 Speaker 4: story of sustained demand there and their outlook will be 211 00:12:15,800 --> 00:12:20,200 Speaker 4: critical to I think uplift the shareholders expectations because they 212 00:12:20,240 --> 00:12:22,920 Speaker 4: are really quite depressed right now in terms of the 213 00:12:23,000 --> 00:12:26,280 Speaker 4: uncertainty around AI. So we're looking for some shoots of 214 00:12:26,320 --> 00:12:27,720 Speaker 4: good news at this stage. 215 00:12:29,440 --> 00:12:32,000 Speaker 5: A lot of uncertainty also on the trade environment, of course, 216 00:12:32,040 --> 00:12:35,719 Speaker 5: with President Trump potentially now according to reports, announcing new 217 00:12:35,800 --> 00:12:39,160 Speaker 5: national security tariffs on top of fifteen percent tarts as well. 218 00:12:39,320 --> 00:12:41,360 Speaker 5: How do you factor that in when every time we 219 00:12:41,400 --> 00:12:44,200 Speaker 5: have a new trade deal with the United States, it 220 00:12:44,280 --> 00:12:46,000 Speaker 5: seems to change at any point. 221 00:12:47,480 --> 00:12:49,840 Speaker 4: It was interesting, but first it was bitcoin and digital 222 00:12:49,840 --> 00:12:51,720 Speaker 4: assets that were the canary and the coal mine for 223 00:12:51,800 --> 00:12:55,679 Speaker 4: trade uncertainties. That's long since past because the volatility has 224 00:12:55,720 --> 00:12:59,200 Speaker 4: just really enveloped the entire bitcoin area. So now we 225 00:12:59,280 --> 00:13:02,240 Speaker 4: have to look at other asset classes risk on which 226 00:13:02,240 --> 00:13:05,520 Speaker 4: are showing signs of concern around trade. This was not 227 00:13:05,640 --> 00:13:09,040 Speaker 4: the news that markets needed. It initially seemed quite good news. 228 00:13:09,040 --> 00:13:11,160 Speaker 4: There could have been a rally in the US economy 229 00:13:11,360 --> 00:13:14,840 Speaker 4: if some of these rebates and tariff's uncertainty was removed. 230 00:13:15,200 --> 00:13:18,360 Speaker 4: Then the rear guard action by President Trump to really 231 00:13:18,440 --> 00:13:21,440 Speaker 4: double down on his tariff policy. That's what seems to 232 00:13:21,480 --> 00:13:24,280 Speaker 4: have thrown markets off today. But remember we're looking at 233 00:13:24,360 --> 00:13:28,199 Speaker 4: uncertainty from many different areas. Private credit too is having 234 00:13:28,280 --> 00:13:30,880 Speaker 4: a difficult spell right now, and this really just does 235 00:13:31,040 --> 00:13:34,680 Speaker 4: underscore how much the markets for price for perfection. Up 236 00:13:34,760 --> 00:13:38,880 Speaker 4: to now, the resilient economy has confounded expectations over and 237 00:13:38,920 --> 00:13:42,679 Speaker 4: over again, and now we can find cracks everywhere, and 238 00:13:42,720 --> 00:13:45,800 Speaker 4: that's what markets I think are overreacting to at present. 239 00:13:48,240 --> 00:13:51,400 Speaker 5: You're not concerned about the private market issue that you 240 00:13:51,520 --> 00:13:54,320 Speaker 5: mentioned because we have the life of Apollo, OKKR blocks 241 00:13:54,360 --> 00:13:56,960 Speaker 5: and all investing in this infrastructure build out and at 242 00:13:57,000 --> 00:13:59,760 Speaker 5: this point the unstainties of course, as we have discussed, 243 00:14:00,080 --> 00:14:02,480 Speaker 5: could actually extend to all of the investment that these 244 00:14:02,480 --> 00:14:03,360 Speaker 5: people have made us. 245 00:14:03,360 --> 00:14:06,720 Speaker 4: Well, it's a very good point. What we've been looking 246 00:14:06,800 --> 00:14:09,480 Speaker 4: at the low volatility in fixed income public fixed income 247 00:14:09,520 --> 00:14:12,280 Speaker 4: markets that has been that the tight spreads that we're 248 00:14:12,280 --> 00:14:15,800 Speaker 4: seeing there, the move index being so subdued, that is, 249 00:14:15,840 --> 00:14:18,000 Speaker 4: it does not cohere with what we're seeing and the 250 00:14:18,040 --> 00:14:21,000 Speaker 4: other jitters of markets. So where has the risk moved 251 00:14:21,000 --> 00:14:23,520 Speaker 4: to within bonds? It seems to have moved into the 252 00:14:23,520 --> 00:14:26,640 Speaker 4: private credit area, and now investors are waking up to 253 00:14:26,680 --> 00:14:30,080 Speaker 4: that there definitely is going to be contamination from this 254 00:14:30,200 --> 00:14:35,240 Speaker 4: software arena drawback to the private credit area given their exposures. 255 00:14:35,520 --> 00:14:38,280 Speaker 4: But time and time again we've heard that this is 256 00:14:38,480 --> 00:14:41,880 Speaker 4: we cannot paint the entire private credit area with one rush. 257 00:14:42,320 --> 00:14:45,600 Speaker 4: That it is is very much a question of some 258 00:14:45,680 --> 00:14:48,560 Speaker 4: firms having the pick of the crops and other firms 259 00:14:48,600 --> 00:14:52,360 Speaker 4: in crowded areas with less compelling returns. So we shouldn't 260 00:14:52,360 --> 00:14:55,880 Speaker 4: be to sweeping about our outlook for the private credit area. 261 00:14:56,240 --> 00:14:59,360 Speaker 4: But it's true that there have perhaps been due diligence 262 00:15:00,360 --> 00:15:03,160 Speaker 4: problems if you've seen that time and time again, and 263 00:15:03,200 --> 00:15:06,160 Speaker 4: that the default level will rise. But we do expect 264 00:15:06,240 --> 00:15:10,280 Speaker 4: that overall private credit is quite sound. But these cockroaches 265 00:15:10,440 --> 00:15:13,920 Speaker 4: that Jamie Diamond mentioned are going to start cropping up, 266 00:15:14,240 --> 00:15:17,440 Speaker 4: and the question is whether markets overreact to them. 267 00:15:19,000 --> 00:15:21,560 Speaker 1: Even we have this situation where time and time again 268 00:15:21,640 --> 00:15:25,920 Speaker 1: there's hits coming from usually trade uncertainty or your political uncertainty. 269 00:15:25,960 --> 00:15:29,840 Speaker 1: But it feels like the sort of risk and volatility 270 00:15:30,000 --> 00:15:34,080 Speaker 1: response can be muted going forward. You raise a question 271 00:15:34,160 --> 00:15:36,600 Speaker 1: of where that risk is going to go? Right, What 272 00:15:36,680 --> 00:15:39,640 Speaker 1: is your assessment of I guess how that volatility gets 273 00:15:39,680 --> 00:15:41,040 Speaker 1: spread in the coming months. 274 00:15:42,320 --> 00:15:44,200 Speaker 4: Well, I think we have to remember that when we 275 00:15:44,240 --> 00:15:47,000 Speaker 4: do have these pullbacks and markets, they're very short lived 276 00:15:47,040 --> 00:15:49,240 Speaker 4: at the moment, and that's because we do have this 277 00:15:49,480 --> 00:15:53,960 Speaker 4: strong inclusion of retail investors in all markets everywhere. We 278 00:15:54,040 --> 00:15:55,880 Speaker 4: know that the millennials that are priced out of the 279 00:15:55,920 --> 00:15:59,040 Speaker 4: real estate market are investing like stocks like never before. 280 00:15:59,440 --> 00:16:02,880 Speaker 4: Mainstream is participating in Wall Street like never before. So 281 00:16:02,960 --> 00:16:05,440 Speaker 4: that's on the sidelines. This huge amount of money in 282 00:16:05,480 --> 00:16:08,160 Speaker 4: money market funds is on the sidelines. They are out 283 00:16:08,160 --> 00:16:12,440 Speaker 4: there looking for bargains. And essentially, when we have spreads 284 00:16:12,520 --> 00:16:15,200 Speaker 4: in fixed income as low as they are as I mentioned, 285 00:16:15,520 --> 00:16:18,240 Speaker 4: and we still have inflation taking away in the background, 286 00:16:18,520 --> 00:16:21,720 Speaker 4: nobody is making money owning bonds, so there is still 287 00:16:21,800 --> 00:16:25,880 Speaker 4: strong demand for owning equities. So that's why I believe 288 00:16:25,880 --> 00:16:28,800 Speaker 4: that these pullbacks will be short lived, and that's why 289 00:16:28,840 --> 00:16:32,440 Speaker 4: markets are really somewhat apart from these momentum problems we're 290 00:16:32,440 --> 00:16:37,119 Speaker 4: having just now. Markets have been somewhat immune to geopolitical developments. 291 00:16:37,400 --> 00:16:40,680 Speaker 4: They have been immune from domestic political developments. They don't 292 00:16:40,680 --> 00:16:43,720 Speaker 4: seem to care about the large fiscal budget deficit across 293 00:16:43,720 --> 00:16:47,680 Speaker 4: many developed nations because the underlying company earnings have been 294 00:16:47,720 --> 00:16:50,840 Speaker 4: so compelling. So that has been the market's ability to 295 00:16:50,880 --> 00:16:54,400 Speaker 4: hold two ideas at one time. Now we're seeing some 296 00:16:54,520 --> 00:16:57,280 Speaker 4: jitters in that respect, but I don't believe it's fundamental. 297 00:16:59,040 --> 00:17:02,200 Speaker 2: That was Ethan Devitt, managing director at Monetta Global Wealth, 298 00:17:02,480 --> 00:17:05,879 Speaker 2: speaking with Bloomberg TV host Heidi Stroudwats and Sherry On 299 00:17:06,359 --> 00:17:09,520 Speaker 2: bringing you their conversation here on the Daybreak Asia podcast. 300 00:17:11,880 --> 00:17:15,280 Speaker 2: Thanks for listening to today's episode of the Bloomberg Daybreak 301 00:17:15,440 --> 00:17:18,800 Speaker 2: Asia Edition podcast. Each weekday, we look at the story 302 00:17:18,880 --> 00:17:23,199 Speaker 2: shaping markets, finance, and geopolitics in the Asia Pacific. You 303 00:17:23,240 --> 00:17:27,359 Speaker 2: can find us on Apple, Spotify, the Bloomberg Podcast YouTube channel, 304 00:17:27,480 --> 00:17:30,480 Speaker 2: or anywhere else you listen. Join us again tomorrow for 305 00:17:30,600 --> 00:17:34,119 Speaker 2: insight on the market moves from Hong Kong to Singapore 306 00:17:34,520 --> 00:17:38,280 Speaker 2: and Australia. I'm Doug Prisner, and this is Bloomberg