1 00:00:00,080 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:10,440 --> 00:00:13,800 Speaker 2: Welcome to the Bloomberg Daybreak Asia podcast. I'm Doug Chrisner. 3 00:00:14,200 --> 00:00:17,640 Speaker 2: Among the events this week from markets in the Asia Pacific, 4 00:00:18,000 --> 00:00:20,799 Speaker 2: the things that have to be discounted, I think, principally 5 00:00:20,960 --> 00:00:23,560 Speaker 2: is the story on US tariffs. There's much to talk 6 00:00:23,600 --> 00:00:26,239 Speaker 2: about here and we'll do that now with Stephanie Leung, 7 00:00:26,400 --> 00:00:30,800 Speaker 2: chief investment officer at Stashaway. Stephanie joins us from Hong Kong. 8 00:00:30,920 --> 00:00:32,800 Speaker 2: Happy New Year to you, Thanks for being with us. 9 00:00:33,240 --> 00:00:35,320 Speaker 2: I think it's fair to say that the thread of 10 00:00:35,360 --> 00:00:38,760 Speaker 2: those tariffs was very well telegraphed. There may have been 11 00:00:39,000 --> 00:00:42,440 Speaker 2: some very slim hope of a reprieve in the early 12 00:00:42,479 --> 00:00:46,000 Speaker 2: morning hours of Tuesday US time. That was after Canada 13 00:00:46,040 --> 00:00:49,800 Speaker 2: and Mexico received a reprieve from their tariffs, but within 14 00:00:50,000 --> 00:00:54,000 Speaker 2: seconds after the Chinese tariffs took effect, Beijing shot right 15 00:00:54,080 --> 00:00:56,960 Speaker 2: back and said it would apply tariffs of its own. 16 00:00:57,040 --> 00:00:59,480 Speaker 2: So what is your sense of this trade war? 17 00:01:00,200 --> 00:01:00,960 Speaker 3: Yeah, I think if you. 18 00:01:01,160 --> 00:01:04,440 Speaker 4: Kind of take a step back, and as we've outlined 19 00:01:04,440 --> 00:01:07,000 Speaker 4: in the twos and twenty five outload we call our 20 00:01:07,280 --> 00:01:09,320 Speaker 4: load piece, fat is a new normal. 21 00:01:09,480 --> 00:01:12,240 Speaker 3: Fat F stats for fiscal policy. 22 00:01:12,319 --> 00:01:15,479 Speaker 4: A stands for AI, T obviously stands for Trump, and 23 00:01:15,600 --> 00:01:19,520 Speaker 4: I think these three are kind of the key pillars 24 00:01:19,560 --> 00:01:23,840 Speaker 4: that investors need to consider or pay attention to for 25 00:01:23,920 --> 00:01:26,400 Speaker 4: this year and perhaps in the next three years, three 26 00:01:26,440 --> 00:01:29,360 Speaker 4: to four years. And within the Trump policies, if we 27 00:01:29,520 --> 00:01:31,640 Speaker 4: kind of look at the broad buckets now, of course 28 00:01:31,640 --> 00:01:35,119 Speaker 4: some of them are actually pro growth, for example, tax UH, 29 00:01:35,240 --> 00:01:39,240 Speaker 4: tax cuts, deregulation, but also I mean two major buckets 30 00:01:39,240 --> 00:01:42,320 Speaker 4: that are kind of risky to growth or would put 31 00:01:42,520 --> 00:01:46,000 Speaker 4: put risk to growth and inflation are tariff and UH. 32 00:01:45,920 --> 00:01:47,240 Speaker 3: And immigration policies. 33 00:01:48,000 --> 00:01:50,400 Speaker 4: And I think if we compare these two, we think 34 00:01:50,440 --> 00:01:53,800 Speaker 4: that the market is actually discounting much more the risk 35 00:01:53,880 --> 00:01:57,920 Speaker 4: of terriffs, but not perhaps not discounting enough on immigration. 36 00:01:58,240 --> 00:02:00,880 Speaker 4: So perhaps we can talk about imigration later, but interntal 37 00:02:00,880 --> 00:02:04,120 Speaker 4: of tariffs, I mean, our view has been that if 38 00:02:04,120 --> 00:02:07,280 Speaker 4: you think about the whole Trump framework, he has historically 39 00:02:07,400 --> 00:02:11,040 Speaker 4: used tariff as a tool for negotiation, and I think, 40 00:02:11,080 --> 00:02:13,799 Speaker 4: I mean, if you look at kind of his rhetoric, 41 00:02:14,560 --> 00:02:19,760 Speaker 4: he sounds very, very tough. However, just from his track record, 42 00:02:20,040 --> 00:02:22,000 Speaker 4: he always just wants to make a deal, and I 43 00:02:22,000 --> 00:02:24,160 Speaker 4: think that's what we've seen, like kind of play out 44 00:02:24,200 --> 00:02:25,000 Speaker 4: this week. 45 00:02:25,240 --> 00:02:27,720 Speaker 2: We know the situation in China is quite different from 46 00:02:27,720 --> 00:02:30,679 Speaker 2: what it was during the last Trump administration, and I'm 47 00:02:30,680 --> 00:02:34,600 Speaker 2: wondering whether Shi Jinping knows or feels that he has 48 00:02:35,200 --> 00:02:36,960 Speaker 2: a much weaker hand to play right now. 49 00:02:37,680 --> 00:02:39,920 Speaker 4: Yes, I think, I mean to a certain extent, of course, 50 00:02:39,960 --> 00:02:43,359 Speaker 4: the economic situation now is a lot weaker in China. 51 00:02:44,400 --> 00:02:47,160 Speaker 4: But I also think that there is kind of a 52 00:02:47,840 --> 00:02:52,720 Speaker 4: change in the global view from both sides of the 53 00:02:53,000 --> 00:02:56,560 Speaker 4: of the continents. Right from a US perspective, of course, 54 00:02:56,600 --> 00:02:59,119 Speaker 4: that if you ask a medium photo a few years ago, 55 00:02:59,160 --> 00:02:59,560 Speaker 4: they would be. 56 00:02:59,560 --> 00:03:00,440 Speaker 3: Much more for China. 57 00:03:00,560 --> 00:03:04,760 Speaker 4: Now today, I think it's sort of just across the aisle. 58 00:03:04,919 --> 00:03:07,880 Speaker 4: People are kind of seeing China as a as a threat, 59 00:03:08,000 --> 00:03:11,440 Speaker 4: more as a competition than a friendly kind of trade neighbor. 60 00:03:12,240 --> 00:03:14,320 Speaker 4: Also from the China side, we have to recognize that, 61 00:03:15,080 --> 00:03:20,160 Speaker 4: I mean, I guess the leadership from President she is 62 00:03:20,600 --> 00:03:24,359 Speaker 4: basically that we have to develop our own economy, right. 63 00:03:24,480 --> 00:03:27,440 Speaker 4: They can't rely on the external trade, It can't rely 64 00:03:27,639 --> 00:03:33,040 Speaker 4: on a global trade anymore like they've done before, and 65 00:03:33,120 --> 00:03:35,960 Speaker 4: therefore there is a lot more focus on developing the 66 00:03:36,000 --> 00:03:38,440 Speaker 4: domestic economy. And I think that's kind of where the 67 00:03:38,480 --> 00:03:41,080 Speaker 4: government is focusing on. Of course, in the past few 68 00:03:41,120 --> 00:03:44,880 Speaker 4: months we've seen some gestures of stimulus, but I think 69 00:03:45,040 --> 00:03:49,520 Speaker 4: largely what the market wants is from the government to 70 00:03:49,640 --> 00:03:53,040 Speaker 4: directly stimulate consumption and also investment demand. So far we 71 00:03:53,120 --> 00:03:53,640 Speaker 4: haven't seen that. 72 00:03:53,800 --> 00:03:55,960 Speaker 2: So I'm trying to understand Stephanie, whether or not this 73 00:03:56,360 --> 00:03:59,920 Speaker 2: US China trade war will become protracted. Okay, ten percent 74 00:04:00,120 --> 00:04:03,480 Speaker 2: may not be a lot initially, but Trump has already 75 00:04:03,520 --> 00:04:06,120 Speaker 2: said that this tariff could go as high as sixty percent, 76 00:04:06,160 --> 00:04:08,680 Speaker 2: and I'm imagining that that would inflict a lot of 77 00:04:08,760 --> 00:04:11,400 Speaker 2: pain on the export economy in China. 78 00:04:11,560 --> 00:04:12,119 Speaker 3: Yeah, I think. 79 00:04:12,640 --> 00:04:17,000 Speaker 4: I mean, if eventually sixty percent gets imposed, and it 80 00:04:17,040 --> 00:04:21,360 Speaker 4: gets imposed on the most critical components, then I think, yes, 81 00:04:21,400 --> 00:04:23,640 Speaker 4: of course it will dampant growth in China, given that 82 00:04:23,720 --> 00:04:26,320 Speaker 4: export is still very, very important. But I think we 83 00:04:26,400 --> 00:04:29,640 Speaker 4: also have to remember that also dampens growth and pushes 84 00:04:29,720 --> 00:04:32,640 Speaker 4: up inflation potentially in the US as well. So if 85 00:04:32,680 --> 00:04:34,279 Speaker 4: you look at like kind of the trade between the 86 00:04:34,320 --> 00:04:37,600 Speaker 4: two nations, the biggest areas of trade is actually from 87 00:04:38,000 --> 00:04:41,640 Speaker 4: it's actually in electronics and some of these kind of 88 00:04:41,680 --> 00:04:47,840 Speaker 4: consumer related products. Right, these are your iPhones, TVs. I 89 00:04:47,880 --> 00:04:51,479 Speaker 4: guess I thinks that go into the to the car 90 00:04:51,600 --> 00:04:54,719 Speaker 4: et cetera. Right, So these are actually essential for the 91 00:04:54,839 --> 00:04:58,839 Speaker 4: US consumer. And if you think about kind of sixty 92 00:04:58,880 --> 00:05:01,600 Speaker 4: percent tariff, of course, I China can fight back with 93 00:05:03,040 --> 00:05:06,839 Speaker 4: some tools like currency to appreciation or kind of like 94 00:05:06,920 --> 00:05:09,440 Speaker 4: more domestic stimulus. But I think at the end of 95 00:05:09,520 --> 00:05:12,760 Speaker 4: the day, tariff actually hurts both sides, and I mean 96 00:05:12,800 --> 00:05:16,720 Speaker 4: Trump administration knows that. Also. I think if you look 97 00:05:16,760 --> 00:05:20,560 Speaker 4: at the US median voter, and I mean there's there's 98 00:05:20,600 --> 00:05:23,800 Speaker 4: a survey that was done asking photers what do they 99 00:05:24,120 --> 00:05:27,120 Speaker 4: want to get resolved in the first hundred days of 100 00:05:27,160 --> 00:05:31,400 Speaker 4: Trump's presidency, and they rank actually on the top inflation. 101 00:05:32,040 --> 00:05:33,800 Speaker 4: I mean, we know that inflation is a big from 102 00:05:33,880 --> 00:05:37,400 Speaker 4: in the US. Even with kind of inflation rates coming off, 103 00:05:37,600 --> 00:05:39,840 Speaker 4: the level of prices is still way higher than what 104 00:05:39,920 --> 00:05:43,240 Speaker 4: it was pre COVID, So inflation comes on top. The 105 00:05:43,360 --> 00:05:46,000 Speaker 4: second like kind of top of mind for people is 106 00:05:46,080 --> 00:05:50,160 Speaker 4: actually not tariff but immigration. And actually if you look 107 00:05:50,200 --> 00:05:52,800 Speaker 4: at tariff, it ranks very very low. Indeed, it ranks 108 00:05:52,880 --> 00:05:55,680 Speaker 4: kind of maybe the lowest kind of like the second 109 00:05:55,680 --> 00:05:58,400 Speaker 4: lowest priority that people want Trump to be focusing on. 110 00:05:58,640 --> 00:06:01,840 Speaker 2: So consistent with that serve, I'm wondering whether markets are 111 00:06:01,960 --> 00:06:05,279 Speaker 2: kind of having the same sentiment. Right the tariffs don't 112 00:06:05,320 --> 00:06:07,960 Speaker 2: mean a lot right now, because there's a level of 113 00:06:08,000 --> 00:06:11,120 Speaker 2: confidence that there will be some resolution and there are 114 00:06:11,160 --> 00:06:14,920 Speaker 2: more important issues to be concerned about and principally other 115 00:06:15,000 --> 00:06:18,000 Speaker 2: drivers of inflation that aren't TERRFF related. 116 00:06:18,240 --> 00:06:19,000 Speaker 3: Yes, I think. 117 00:06:18,880 --> 00:06:20,680 Speaker 4: Indeed, right if you look at the of course, the 118 00:06:20,680 --> 00:06:24,800 Speaker 4: equity markets reacted quite violently, but we all know that 119 00:06:24,839 --> 00:06:28,279 Speaker 4: equity markets are are are a bit expensive in the US, 120 00:06:28,279 --> 00:06:31,720 Speaker 4: and also reseal possession has been has been quite high, 121 00:06:31,760 --> 00:06:33,440 Speaker 4: so I think there's been a bit of wash out 122 00:06:33,880 --> 00:06:35,000 Speaker 4: in terms of possessioning. 123 00:06:35,520 --> 00:06:37,599 Speaker 3: But I think the real gauge is actually in the 124 00:06:37,640 --> 00:06:38,200 Speaker 3: bond market. 125 00:06:39,080 --> 00:06:41,320 Speaker 4: I don't think so far we've seen much reaction from 126 00:06:41,360 --> 00:06:44,080 Speaker 4: the bond market for the trade teriffs, because if the 127 00:06:44,120 --> 00:06:46,440 Speaker 4: market is taking this quite seriously, then I think. 128 00:06:46,360 --> 00:06:48,039 Speaker 3: We should see bond yields much lower. 129 00:06:49,160 --> 00:06:51,960 Speaker 4: And indeed, I mean bon yills have been just in 130 00:06:52,000 --> 00:06:55,440 Speaker 4: the tight range, and I mean I think there's still 131 00:06:55,440 --> 00:06:59,159 Speaker 4: a risk that bond yios would actually increase, uh should 132 00:06:59,360 --> 00:07:03,000 Speaker 4: trade tarf kind of settle down. So I think the. 133 00:07:02,920 --> 00:07:05,599 Speaker 3: Real gauge is actually how the bar market reacts to it. 134 00:07:05,839 --> 00:07:08,080 Speaker 2: I know you, Stephanie is an expert when it comes 135 00:07:08,120 --> 00:07:11,120 Speaker 2: to artificial intelligence, and I'm very curious to get your 136 00:07:11,160 --> 00:07:13,680 Speaker 2: take on what we learned last week when it came 137 00:07:13,760 --> 00:07:17,760 Speaker 2: to deep Seek, certainly from the US side, a lot 138 00:07:17,800 --> 00:07:21,240 Speaker 2: of questions on how this model was developed. What's your 139 00:07:21,280 --> 00:07:22,480 Speaker 2: sense of what's happening here? 140 00:07:23,080 --> 00:07:26,000 Speaker 4: Yeah, I mean, of course, like things in AI developed, 141 00:07:26,040 --> 00:07:28,880 Speaker 4: I guess changes the narrat that actually changes a daily basis. 142 00:07:28,880 --> 00:07:32,440 Speaker 4: But I think the significance of deep Seek is it's 143 00:07:32,480 --> 00:07:35,080 Speaker 4: not the fact that it's so cheap. Of course, people 144 00:07:35,080 --> 00:07:37,640 Speaker 4: focus on kind of how it got developed, in like 145 00:07:37,800 --> 00:07:40,120 Speaker 4: kind of with with five million versus the billions that 146 00:07:40,760 --> 00:07:43,240 Speaker 4: Open Ai has spent on it. But I think more 147 00:07:43,280 --> 00:07:47,560 Speaker 4: importantly there's like two I think two major things to that. 148 00:07:47,640 --> 00:07:47,840 Speaker 3: For me. 149 00:07:47,960 --> 00:07:51,840 Speaker 4: Number one is that I think the surprise was actually 150 00:07:51,880 --> 00:07:56,480 Speaker 4: how closely Chinese models are following the US models, Because 151 00:07:56,480 --> 00:07:59,360 Speaker 4: I think before deep Seek, the common kind of consensus 152 00:07:59,560 --> 00:08:02,920 Speaker 4: was that Chinese models are in terms of AI technology, 153 00:08:03,000 --> 00:08:04,960 Speaker 4: China is probably six to just one months behind. 154 00:08:05,480 --> 00:08:05,640 Speaker 1: Uh. 155 00:08:05,680 --> 00:08:07,640 Speaker 4: If you look at kind of how deep Seek has 156 00:08:07,640 --> 00:08:08,720 Speaker 4: been following GPT. 157 00:08:08,960 --> 00:08:10,400 Speaker 3: Now the timeline has. 158 00:08:10,240 --> 00:08:12,680 Speaker 4: Been pushed to like three or six months, which is 159 00:08:12,680 --> 00:08:16,160 Speaker 4: a much much closer race than than people had UH 160 00:08:16,360 --> 00:08:19,200 Speaker 4: had consensus on before the release of deep Seek. And 161 00:08:19,240 --> 00:08:23,360 Speaker 4: I think the second more important point is that UH 162 00:08:23,440 --> 00:08:27,120 Speaker 4: they actually release deep Seek in open source, and I 163 00:08:27,160 --> 00:08:30,920 Speaker 4: think this actually puts the open source versus closed source 164 00:08:31,000 --> 00:08:35,400 Speaker 4: debate much more kind of tilted towards UH in favor 165 00:08:35,440 --> 00:08:37,840 Speaker 4: of open source. And indeed, if you look at the 166 00:08:37,920 --> 00:08:41,040 Speaker 4: recent statement that sem Ollman put out UH, he is 167 00:08:41,160 --> 00:08:45,000 Speaker 4: also saying that even within open AI, there are considering 168 00:08:45,400 --> 00:08:48,560 Speaker 4: UH the possibility of doing kind of going the route 169 00:08:48,559 --> 00:08:51,000 Speaker 4: of more open source, and I think that actually brings 170 00:08:51,080 --> 00:08:53,560 Speaker 4: quite a bit of a UH star or changes in 171 00:08:53,760 --> 00:08:56,480 Speaker 4: how the whole ecosystem develops. I think this is great 172 00:08:56,520 --> 00:09:00,679 Speaker 4: news for UH, for for the application layer, for developers 173 00:09:00,840 --> 00:09:07,400 Speaker 4: using AI to develop various applications and usage, and but 174 00:09:07,559 --> 00:09:10,600 Speaker 4: I think it also poses questions on a lot of 175 00:09:10,640 --> 00:09:15,520 Speaker 4: the initial investments into labs, right, how these how quickly 176 00:09:15,559 --> 00:09:18,160 Speaker 4: these albums are actually commoditized, And I mean, what is 177 00:09:18,200 --> 00:09:22,000 Speaker 4: the business value and just having like a proprietary l model. 178 00:09:22,720 --> 00:09:24,560 Speaker 2: Before I let you go, let's talk a little bit 179 00:09:24,559 --> 00:09:27,640 Speaker 2: about the Chinese consumer From what I've been reading they 180 00:09:27,640 --> 00:09:31,040 Speaker 2: were setting records for travel and movie attendance during the 181 00:09:31,120 --> 00:09:33,959 Speaker 2: Lunar New Year holiday. And I'm just trying to get 182 00:09:33,960 --> 00:09:36,000 Speaker 2: a sense of whether or not we're beginning to see 183 00:09:36,040 --> 00:09:40,320 Speaker 2: some green shoots in China where consumer spending is concerned. 184 00:09:40,400 --> 00:09:42,440 Speaker 2: Is that your sense or is it too soon to 185 00:09:42,440 --> 00:09:43,160 Speaker 2: make that claim? 186 00:09:43,600 --> 00:09:46,960 Speaker 4: Yeah? I think one very good gauge is actually to 187 00:09:47,040 --> 00:09:51,040 Speaker 4: look at the property prices in China. And the great 188 00:09:51,040 --> 00:09:52,520 Speaker 4: thing about this is, I mean, this is a very 189 00:09:52,559 --> 00:09:55,280 Speaker 4: very time of data that comes out every month. 190 00:09:55,880 --> 00:09:58,760 Speaker 3: And I think the because if you think. 191 00:09:58,679 --> 00:10:03,800 Speaker 4: About the the Chinese I guess the Chinese population or 192 00:10:04,120 --> 00:10:07,120 Speaker 4: the average Chinese consumer, a lot of the wealth is 193 00:10:07,160 --> 00:10:10,400 Speaker 4: actually in the housing market, uh, And I mean it's 194 00:10:10,440 --> 00:10:12,520 Speaker 4: it's quite Actually in the US, a lot of wealth 195 00:10:12,640 --> 00:10:13,600 Speaker 4: is in equity market. 196 00:10:13,679 --> 00:10:14,079 Speaker 3: Same thing. 197 00:10:14,640 --> 00:10:17,600 Speaker 4: The wealth effect of China actually depends on how how 198 00:10:17,640 --> 00:10:21,160 Speaker 4: the housing market does. And I think, uh, I mean, 199 00:10:21,200 --> 00:10:24,480 Speaker 4: we would love to see a stabilization in the housing 200 00:10:24,559 --> 00:10:26,920 Speaker 4: market or even some recovery, and that would give us 201 00:10:26,920 --> 00:10:29,560 Speaker 4: a lot more confidence in the recovery in the Chinese 202 00:10:29,840 --> 00:10:32,240 Speaker 4: kind of consumer recovery story. 203 00:10:32,520 --> 00:10:35,840 Speaker 2: Stephanie, Thank you so much. Stephanie Leung, their chief investment 204 00:10:35,880 --> 00:10:39,200 Speaker 2: officer at Stashaway, joining us from Hong Kong here on 205 00:10:39,200 --> 00:10:48,880 Speaker 2: the Daybreak Asia podcast. Welcome back to the Bloomberg Daybreak 206 00:10:48,920 --> 00:10:51,599 Speaker 2: Asia Podcast. I'm Derek Christner. I think it's fair to 207 00:10:51,640 --> 00:10:54,600 Speaker 2: say that we have certainly seen a whip sawing of 208 00:10:54,679 --> 00:10:58,600 Speaker 2: markets recently, no shortage of factors driving the price action 209 00:10:58,720 --> 00:11:01,800 Speaker 2: at all. I mean there's been an economic data, trade 210 00:11:01,880 --> 00:11:06,199 Speaker 2: tensions galore, and questions around the spending on artificial intelligence. 211 00:11:06,440 --> 00:11:08,880 Speaker 2: For a closer look, I'm joined now by Zachary Hill. 212 00:11:09,000 --> 00:11:13,440 Speaker 2: He is head of portfolio management at Horizon Investments. Zachary, 213 00:11:13,480 --> 00:11:15,400 Speaker 2: thanks for making time to chat with us here. So 214 00:11:15,440 --> 00:11:18,000 Speaker 2: I listed a couple of factors that may be influencing 215 00:11:18,040 --> 00:11:20,880 Speaker 2: the market's behavior. Is there one that you think is 216 00:11:21,120 --> 00:11:22,280 Speaker 2: predominant right now? 217 00:11:22,800 --> 00:11:25,080 Speaker 1: Yeah, Doug, thanks for having me. We really have been 218 00:11:25,080 --> 00:11:28,200 Speaker 1: playing narrative ping pong for this year, just back and 219 00:11:28,240 --> 00:11:30,880 Speaker 1: forth between different things. I think I think two things 220 00:11:30,880 --> 00:11:34,840 Speaker 1: are really important right now. One obviously is tariffs. Quite frankly, 221 00:11:34,840 --> 00:11:37,080 Speaker 1: we're a little surprised how well the market is hanging 222 00:11:37,080 --> 00:11:40,599 Speaker 1: in with ten percent tariffs on all of Chinese exports. 223 00:11:41,440 --> 00:11:43,520 Speaker 1: But you know, expectations have been that that's going to 224 00:11:43,520 --> 00:11:46,240 Speaker 1: get rolled back relatively soon, and so we'll see, you know, 225 00:11:46,280 --> 00:11:49,120 Speaker 1: how how those things evolved. And then the second, you know, 226 00:11:49,240 --> 00:11:51,120 Speaker 1: major theme that we've had going on over the last 227 00:11:51,120 --> 00:11:54,240 Speaker 1: few weeks is just a rotation within the AI theme, 228 00:11:54,800 --> 00:11:57,760 Speaker 1: not really you know, bringing down the overall theme in 229 00:11:57,800 --> 00:12:00,760 Speaker 1: terms of importance, but accelerating in terms of monetization. And 230 00:12:00,800 --> 00:12:03,000 Speaker 1: so we do think that's important for investors to consider. 231 00:12:03,200 --> 00:12:05,200 Speaker 2: What do you think about the quality of earnings that 232 00:12:05,240 --> 00:12:08,760 Speaker 2: we have had recently from some of these megacap companies 233 00:12:08,960 --> 00:12:10,240 Speaker 2: names like Alphabet. 234 00:12:10,679 --> 00:12:14,200 Speaker 1: Yeah, I mean, obviously the market didn't like their earnings today, 235 00:12:14,360 --> 00:12:16,640 Speaker 1: but you know, broadly speaking, we do think we've seen 236 00:12:17,040 --> 00:12:20,239 Speaker 1: a pretty healthy earnings backdrop. Overall, we've had above average 237 00:12:20,760 --> 00:12:23,200 Speaker 1: surprises on the top line and the bottom line, and 238 00:12:23,240 --> 00:12:26,559 Speaker 1: so that's something that's pretty healthy, and you know, going 239 00:12:26,640 --> 00:12:29,839 Speaker 1: into this year, really the thing that we're watching for 240 00:12:30,000 --> 00:12:32,040 Speaker 1: is just the earnings from the rest of the market 241 00:12:32,040 --> 00:12:33,920 Speaker 1: to see if that can catch up to the yawning 242 00:12:33,960 --> 00:12:36,360 Speaker 1: gap that the top of the market was able to 243 00:12:36,440 --> 00:12:39,120 Speaker 1: deliver in twenty twenty four, and that's something that's really 244 00:12:39,160 --> 00:12:40,360 Speaker 1: important for market breadth. 245 00:12:40,480 --> 00:12:42,600 Speaker 2: Many participants in the market have been looking to the 246 00:12:42,640 --> 00:12:45,520 Speaker 2: FED for some type of direction here in terms of 247 00:12:45,840 --> 00:12:48,360 Speaker 2: the interest rate environment. Although I thought it was interesting 248 00:12:48,400 --> 00:12:53,040 Speaker 2: today that in an interview with Fox Business, Treasury Secretary 249 00:12:53,080 --> 00:12:56,600 Speaker 2: Besson was saying, the administration is focused really on the 250 00:12:56,640 --> 00:12:58,880 Speaker 2: ten year treasury yield, not so much on what the 251 00:12:58,920 --> 00:13:01,880 Speaker 2: FED is doing with the benchmark policy rate in the 252 00:13:01,880 --> 00:13:04,360 Speaker 2: short term. So if you look at the tenure here, 253 00:13:04,480 --> 00:13:06,960 Speaker 2: we're under four and a half percent four for two 254 00:13:07,120 --> 00:13:09,920 Speaker 2: now in late New York trading. Is that kind of 255 00:13:09,960 --> 00:13:12,360 Speaker 2: aligned with your thinking? You really want to pay attention 256 00:13:12,440 --> 00:13:14,880 Speaker 2: to the longer end of the yield curve right now 257 00:13:14,960 --> 00:13:16,440 Speaker 2: more than what's going on with the FED. 258 00:13:17,160 --> 00:13:19,280 Speaker 1: Yeah, I would agree with that. We do think, you know, 259 00:13:19,360 --> 00:13:21,640 Speaker 1: the FED is on hold for for the near term, 260 00:13:21,720 --> 00:13:24,480 Speaker 1: and so that means, you know, longer term, it's about 261 00:13:25,160 --> 00:13:27,800 Speaker 1: you know, growth expectations. And then the thing that we've 262 00:13:27,840 --> 00:13:30,480 Speaker 1: been talking about on again, off again for the last 263 00:13:30,480 --> 00:13:33,800 Speaker 1: two months, term premium. We definitely had a little bit 264 00:13:33,840 --> 00:13:36,760 Speaker 1: of a scare in yields in the middle of January, 265 00:13:36,840 --> 00:13:38,760 Speaker 1: and that is all but reverse now and so we're 266 00:13:38,800 --> 00:13:41,600 Speaker 1: back now basically to where we were in the December 267 00:13:41,800 --> 00:13:45,480 Speaker 1: FOMC meeting. So things seem pretty fair here for long 268 00:13:45,559 --> 00:13:48,320 Speaker 1: end yields, and you know, we would echo Besten's comments. 269 00:13:48,880 --> 00:13:51,000 Speaker 1: You know, the longer end of the curve is where 270 00:13:51,080 --> 00:13:53,160 Speaker 1: more people finance rather than the short end, and so 271 00:13:53,200 --> 00:13:55,560 Speaker 1: we do think that's more important, you know, for the 272 00:13:55,600 --> 00:13:58,680 Speaker 1: overall outlook, both for the economy and for markets in 273 00:13:58,720 --> 00:13:59,360 Speaker 1: twenty twenty five. 274 00:13:59,480 --> 00:14:02,240 Speaker 2: Most speaking of the economy, we get the January jobs 275 00:14:02,320 --> 00:14:04,480 Speaker 2: data on Friday. If you look at a couple of 276 00:14:04,520 --> 00:14:06,719 Speaker 2: the data points that we have had this week, I'm 277 00:14:06,720 --> 00:14:11,200 Speaker 2: thinking about the ADP, Private Payroll Survey, the Services PMI. 278 00:14:11,559 --> 00:14:14,679 Speaker 2: Some of these data points are really showing that employment 279 00:14:14,760 --> 00:14:17,040 Speaker 2: is quite strong. Still, do you think we're going to 280 00:14:17,120 --> 00:14:19,280 Speaker 2: get a blowout number Friday? How do you think the 281 00:14:19,320 --> 00:14:20,520 Speaker 2: labor market is performing. 282 00:14:21,320 --> 00:14:23,320 Speaker 1: It's hard to say what we're gonna get on Friday. 283 00:14:23,320 --> 00:14:25,880 Speaker 1: In terms of the non farm print. We've had some 284 00:14:26,520 --> 00:14:29,200 Speaker 1: noise back and forth within those numbers over the last 285 00:14:29,240 --> 00:14:33,480 Speaker 1: few months related to strikes and the weather and that 286 00:14:33,520 --> 00:14:35,800 Speaker 1: type of thing, and so you know, last month's surprised 287 00:14:35,800 --> 00:14:37,760 Speaker 1: at the upside in a really material way, and so 288 00:14:38,200 --> 00:14:40,480 Speaker 1: getting a handle on what exactly we're gonna see on 289 00:14:40,480 --> 00:14:43,560 Speaker 1: Friday is kind of challenging. But I think broadly speaking, 290 00:14:44,400 --> 00:14:46,920 Speaker 1: you know, the totality of data is telling us that 291 00:14:46,960 --> 00:14:48,680 Speaker 1: the consumer is in a really good shape and the 292 00:14:48,760 --> 00:14:51,240 Speaker 1: job market is in a really good shape. And you know, 293 00:14:51,600 --> 00:14:54,640 Speaker 1: more to the point on potential market reactions to Friday, 294 00:14:55,320 --> 00:14:57,520 Speaker 1: the FED has told us that, look, they're more concerned 295 00:14:57,520 --> 00:15:01,280 Speaker 1: about inflation as opposed to growth the labor market, and 296 00:15:01,400 --> 00:15:04,440 Speaker 1: so that's something that we're focusing more on, and we think, 297 00:15:04,720 --> 00:15:07,080 Speaker 1: you know, Friday's non farm number is likely to be 298 00:15:07,120 --> 00:15:09,080 Speaker 1: a non event, just like the FED was last week. 299 00:15:09,200 --> 00:15:11,480 Speaker 2: Where are you finding value right now in the US 300 00:15:11,560 --> 00:15:12,320 Speaker 2: equity space? 301 00:15:12,920 --> 00:15:14,240 Speaker 1: Yeah, I mean, we have a kind of an interesting 302 00:15:14,280 --> 00:15:17,480 Speaker 1: view on US equities right now. We still like the 303 00:15:17,480 --> 00:15:20,400 Speaker 1: the AI theme and that is some of the megacaps 304 00:15:20,400 --> 00:15:22,920 Speaker 1: in the top of the market in large cap growth 305 00:15:23,040 --> 00:15:25,240 Speaker 1: in general, but we also think you need to be 306 00:15:25,280 --> 00:15:27,960 Speaker 1: moving a little bit down the cap spectrum towards some 307 00:15:27,960 --> 00:15:31,200 Speaker 1: of those smaller cap growth companies and some software names 308 00:15:31,200 --> 00:15:34,720 Speaker 1: that stand to benefit from the accelers acceleration of the 309 00:15:34,760 --> 00:15:38,200 Speaker 1: monetization of AI that we've seen, with cheaper models likely 310 00:15:38,200 --> 00:15:40,720 Speaker 1: coming in the very near future. At the same time, 311 00:15:40,760 --> 00:15:43,680 Speaker 1: we think, you know, some some parts of the market 312 00:15:43,680 --> 00:15:46,680 Speaker 1: that are more cyclical have some interesting tailwinds from a 313 00:15:46,720 --> 00:15:51,160 Speaker 1: deregulatory and you know, business sentiment perspective, and so that 314 00:15:51,240 --> 00:15:53,120 Speaker 1: the two areas that we that we like the most 315 00:15:53,240 --> 00:15:56,800 Speaker 1: are you know, small caps and banks. In the US, 316 00:15:57,360 --> 00:15:59,440 Speaker 1: we're staying away though from you know, some of the 317 00:15:59,440 --> 00:16:02,640 Speaker 1: more China pendent, more value wee parts of the market, 318 00:16:02,800 --> 00:16:06,080 Speaker 1: like energy and materials. We don't think it's an environment, 319 00:16:06,560 --> 00:16:09,560 Speaker 1: especially with the tariff overhang, that those offer an attractive 320 00:16:09,640 --> 00:16:10,120 Speaker 1: risk award. 321 00:16:10,200 --> 00:16:12,160 Speaker 2: Well, speaking of China, I'm curious as to whether or 322 00:16:12,200 --> 00:16:15,880 Speaker 2: not you're seeing opportunities offshore right now or whether you 323 00:16:16,000 --> 00:16:18,920 Speaker 2: remain focused solely on what's happening in the States. 324 00:16:19,520 --> 00:16:21,880 Speaker 1: I mean, we're looking at what's going on overseas for sure, 325 00:16:22,040 --> 00:16:25,200 Speaker 1: but you know, our our main focus is within the US. 326 00:16:25,240 --> 00:16:28,760 Speaker 1: You know, there just aren't as many you know, favorable 327 00:16:29,360 --> 00:16:31,760 Speaker 1: kind of narratives and things going on in the rest 328 00:16:31,800 --> 00:16:34,400 Speaker 1: of the world. And also just from a US dollar perspective, 329 00:16:35,280 --> 00:16:38,960 Speaker 1: if we have threats of tariffs looming, that is something 330 00:16:38,960 --> 00:16:41,200 Speaker 1: that's going to tend to underpin the dollar and so 331 00:16:41,560 --> 00:16:44,280 Speaker 1: you know, we'll be a headwind to international allocations. And 332 00:16:44,360 --> 00:16:46,440 Speaker 1: so you know, so far this year we've seen a 333 00:16:46,480 --> 00:16:50,400 Speaker 1: really strong move in European stocks, both in local currency 334 00:16:50,480 --> 00:16:53,920 Speaker 1: terms and in dollar terms. That's something that seems to 335 00:16:54,040 --> 00:16:57,080 Speaker 1: us like it's you know, running its course and not 336 00:16:57,160 --> 00:16:59,480 Speaker 1: something that's going to continue. But certainly we're keeping it 337 00:16:59,520 --> 00:17:02,160 Speaker 1: open mind because as we saw in year one of 338 00:17:02,200 --> 00:17:05,719 Speaker 1: the first Trump presidency, you know, expectations were not what 339 00:17:05,840 --> 00:17:08,520 Speaker 1: was realized in market performance over that time. 340 00:17:08,760 --> 00:17:11,120 Speaker 2: I mentioned the Best Sint interview a moment ago. One 341 00:17:11,119 --> 00:17:13,960 Speaker 2: of the other points that he made during that conversation 342 00:17:14,280 --> 00:17:18,960 Speaker 2: was his support for making the twenty seventeen tax cuts permanent. Now, 343 00:17:19,119 --> 00:17:21,280 Speaker 2: those cuts, as we know, are set to expire at 344 00:17:21,280 --> 00:17:23,919 Speaker 2: the end of the year. To what extent has the 345 00:17:23,960 --> 00:17:27,400 Speaker 2: market already maybe discounted the fact that these cuts will 346 00:17:27,440 --> 00:17:29,680 Speaker 2: indeed be permanent or do you think that is still 347 00:17:29,760 --> 00:17:30,399 Speaker 2: up for debate. 348 00:17:31,040 --> 00:17:32,560 Speaker 1: I think it's up for debate. I mean, there's a 349 00:17:32,600 --> 00:17:37,760 Speaker 1: lot of disagreement within the Republican coalition, especially around anything 350 00:17:38,200 --> 00:17:42,520 Speaker 1: that involves potentially increasing the deficit. You know, the majority 351 00:17:42,560 --> 00:17:45,560 Speaker 1: is pretty narrow, and so I do think that's something 352 00:17:45,560 --> 00:17:47,920 Speaker 1: that will come to bear in those conversations, and we're 353 00:17:47,920 --> 00:17:50,359 Speaker 1: certainly seeing you know, some rumblings of that already in 354 00:17:50,480 --> 00:17:53,760 Speaker 1: Washington about one bill versus two bills, and so you know, 355 00:17:53,920 --> 00:17:57,639 Speaker 1: I think that's clearly the policy priority of the Treasury Secretary. 356 00:17:58,000 --> 00:17:59,840 Speaker 1: It remains to be seen if that can be passed 357 00:17:59,840 --> 00:18:02,119 Speaker 1: in the law. And so I don't think the market 358 00:18:02,160 --> 00:18:06,879 Speaker 1: is really banking on necessarily a continuation are a further 359 00:18:07,040 --> 00:18:07,560 Speaker 1: tax cut. 360 00:18:07,600 --> 00:18:09,879 Speaker 2: From here, Zachary will leave it there. Thank you so 361 00:18:09,960 --> 00:18:12,280 Speaker 2: much for joining us. Zachary Hill there. He is head 362 00:18:12,320 --> 00:18:16,320 Speaker 2: of portfolio management at Horizon Investments. Joining us here on 363 00:18:16,359 --> 00:18:22,200 Speaker 2: the Daybreak Asia Podcast. Thanks for listening to today's episode 364 00:18:22,280 --> 00:18:26,280 Speaker 2: of the Bloomberg Daybreak Asia Edition podcast. Each weekday, we 365 00:18:26,359 --> 00:18:30,240 Speaker 2: look at the story shaping markets, finance, and geopolitics in 366 00:18:30,240 --> 00:18:33,440 Speaker 2: the Asia Pacific. You can find us on Apple, Spotify, 367 00:18:33,560 --> 00:18:37,080 Speaker 2: the Bloomberg Podcast YouTube channel, or anywhere else you listen. 368 00:18:37,480 --> 00:18:40,359 Speaker 2: Join us again tomorrow for insight on the market moves 369 00:18:40,440 --> 00:18:45,000 Speaker 2: from Hong Kong to Singapore and Australia. I'm Doug Chrisner, 370 00:18:45,160 --> 00:18:46,520 Speaker 2: and this is Bloomberg