1 00:00:02,520 --> 00:00:08,160 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. 2 00:00:10,440 --> 00:00:13,920 Speaker 2: Welcome to the Bloomberg Daybreak Asia podcast. I'm Doug Chrisner. 3 00:00:14,280 --> 00:00:16,319 Speaker 2: In the last US session, we had a rally in 4 00:00:16,400 --> 00:00:20,080 Speaker 2: chip makers, led by Intel. Those shares jumped sixteen percent 5 00:00:20,400 --> 00:00:23,360 Speaker 2: on reports that Intel could be broken up in a 6 00:00:23,400 --> 00:00:27,000 Speaker 2: deal involving TSMC and Broadcom. And in a moment we'll 7 00:00:27,000 --> 00:00:28,960 Speaker 2: take a look at the price action in the States 8 00:00:29,200 --> 00:00:32,960 Speaker 2: with Jim Thorn. He is chief market strategist at Wellington 9 00:00:33,040 --> 00:00:36,440 Speaker 2: Alta's Private wealth. But let's begin in Hong Kong. Joining 10 00:00:36,520 --> 00:00:39,199 Speaker 2: us now is Jason Lu. He is head of APAC 11 00:00:39,320 --> 00:00:44,000 Speaker 2: Equity and Derivative Strategy at BNP Periba. Jason, thanks for 12 00:00:44,080 --> 00:00:46,640 Speaker 2: joining us. I'd like to start with the story on 13 00:00:46,720 --> 00:00:50,279 Speaker 2: what we saw yesterday in Chinese tech stocks. According to 14 00:00:50,440 --> 00:00:53,040 Speaker 2: what I was reading, much of this move higher was 15 00:00:53,080 --> 00:00:57,400 Speaker 2: tied to President Chi Jinping's public meeting with some leaders 16 00:00:57,440 --> 00:00:59,920 Speaker 2: of big tech in China. What do you make of 17 00:01:00,080 --> 00:01:00,840 Speaker 2: what's been happening? 18 00:01:01,320 --> 00:01:05,319 Speaker 3: Sure, thanks for having me on. Certainly yesterday's rally, it's 19 00:01:05,440 --> 00:01:08,920 Speaker 3: quite impressive, especially on the back of already a very 20 00:01:08,959 --> 00:01:11,520 Speaker 3: strong rally. So I think what we need to do 21 00:01:11,600 --> 00:01:13,959 Speaker 3: is perhaps take a look back at what has happened 22 00:01:13,959 --> 00:01:16,120 Speaker 3: over the past week, because I think all of these 23 00:01:16,120 --> 00:01:19,560 Speaker 3: are a little bit interconnected. You could argue that everything 24 00:01:19,640 --> 00:01:25,200 Speaker 3: started around deepsey our one model, because they originally announced 25 00:01:25,200 --> 00:01:28,039 Speaker 3: a V three back in December, but with lesser kind 26 00:01:28,040 --> 00:01:31,280 Speaker 3: of global popularity. So I think the success of deep 27 00:01:31,319 --> 00:01:36,840 Speaker 3: cr Run has fundamentally changed investor perception on Chinese equity 28 00:01:36,959 --> 00:01:41,320 Speaker 3: and tech in particular, where there's now an understanding that 29 00:01:41,520 --> 00:01:46,440 Speaker 3: Chinese tech company can be competent globally and perhaps operating 30 00:01:46,440 --> 00:01:49,000 Speaker 3: at a much lower cost than the global peers. I 31 00:01:49,040 --> 00:01:53,520 Speaker 3: think the President She's meeting it's also a continuation of 32 00:01:53,560 --> 00:01:57,800 Speaker 3: that thing because previously President She held a similar meeting 33 00:01:58,040 --> 00:02:02,120 Speaker 3: with a high level private enterpainse As entrepreneurs back in 34 00:02:02,120 --> 00:02:06,240 Speaker 3: twenty eighteen, and some local observer attributed this to the 35 00:02:06,680 --> 00:02:09,400 Speaker 3: rally that we have seen subsequently in the market. And 36 00:02:09,480 --> 00:02:12,880 Speaker 3: so the way we interpret the latest situation is that 37 00:02:13,120 --> 00:02:15,840 Speaker 3: I think the policy makers in China have also realized 38 00:02:16,120 --> 00:02:18,919 Speaker 3: the power or the breakthrough that some of these recent 39 00:02:18,960 --> 00:02:22,480 Speaker 3: technology announcement has came through, and it greatly increased the 40 00:02:22,520 --> 00:02:25,560 Speaker 3: confidence in the market. And so I think President She's 41 00:02:25,600 --> 00:02:30,480 Speaker 3: meeting together with several high level officials further confirmed that 42 00:02:30,520 --> 00:02:33,839 Speaker 3: the Chinese policy makers are now very much embracing these 43 00:02:33,840 --> 00:02:38,320 Speaker 3: technological breakthrough and so we should anticipate further policy support 44 00:02:38,360 --> 00:02:40,840 Speaker 3: for the private enterprise, and that perhaps, like you said, 45 00:02:41,080 --> 00:02:43,880 Speaker 3: contributed to the further rally that we've seen yesterday. 46 00:02:44,120 --> 00:02:47,160 Speaker 2: I'm trying to understand whether or not the enthusiasm is 47 00:02:47,200 --> 00:02:52,200 Speaker 2: more tied to artificial intelligence and by extension, cloud computing. 48 00:02:52,240 --> 00:02:55,040 Speaker 2: Maybe we can put that under the umbrella of software 49 00:02:55,280 --> 00:02:57,440 Speaker 2: more so than on the hardware side. Do you think 50 00:02:57,520 --> 00:02:58,040 Speaker 2: that's fair. 51 00:02:58,560 --> 00:03:01,880 Speaker 3: I think at this stage the rally, certainly investors are 52 00:03:01,919 --> 00:03:05,920 Speaker 3: becoming more selective on how they are positioning. We have 53 00:03:06,000 --> 00:03:08,400 Speaker 3: seen a similar transition like in the US. You may 54 00:03:08,440 --> 00:03:12,519 Speaker 3: recall that when the CHGPT phenomenon first started, I think 55 00:03:12,520 --> 00:03:15,359 Speaker 3: most investors were solely focusing on the hardware side of 56 00:03:15,400 --> 00:03:18,680 Speaker 3: things because there's just so much demand on AI data 57 00:03:18,680 --> 00:03:21,680 Speaker 3: center and now we're gradually moving to software. So what 58 00:03:21,840 --> 00:03:24,640 Speaker 3: is happening in China at the moment is this very 59 00:03:24,680 --> 00:03:28,000 Speaker 3: condensed version of what we experience in US and to 60 00:03:28,040 --> 00:03:31,200 Speaker 3: some extend in Europe over the past one to two years. 61 00:03:31,360 --> 00:03:33,640 Speaker 3: I think if some of you who have experienced these 62 00:03:33,680 --> 00:03:35,960 Speaker 3: new Chinese AI, you would notice that there's still a 63 00:03:36,000 --> 00:03:39,160 Speaker 3: little bit of that bottleneck when it comes to processing speeds. 64 00:03:39,160 --> 00:03:43,040 Speaker 3: So perhaps the cloud computing has been raised to a 65 00:03:43,160 --> 00:03:46,640 Speaker 3: higher urgency because they desperately need more bandwidth to handle 66 00:03:46,720 --> 00:03:50,680 Speaker 3: this surprising demand globally as well. The other thing worth 67 00:03:50,720 --> 00:03:54,520 Speaker 3: noting is from a index composition perspective, because there is 68 00:03:54,600 --> 00:03:57,800 Speaker 3: a significant difference in terms of the index composition of 69 00:03:57,880 --> 00:04:00,560 Speaker 3: the companies listed in the Hong Kong market versus the 70 00:04:00,680 --> 00:04:03,320 Speaker 3: China onshore market. The best example is that a lot 71 00:04:03,320 --> 00:04:06,440 Speaker 3: of these well known Chinese internet companies are only listed 72 00:04:06,480 --> 00:04:08,760 Speaker 3: in Hong Kong, and some of them do have ADR listing, 73 00:04:09,040 --> 00:04:12,680 Speaker 3: whereas in the onshore market, the major large cap industries 74 00:04:12,720 --> 00:04:16,279 Speaker 3: tends to be overexposed to traditional industry like financials and 75 00:04:16,279 --> 00:04:19,520 Speaker 3: consumer staples, which may have exacerbated that kind of difference 76 00:04:19,720 --> 00:04:22,400 Speaker 3: in terms of price action that you're observing in Hong 77 00:04:22,480 --> 00:04:24,400 Speaker 3: Kong relative to the China onshore market. 78 00:04:24,600 --> 00:04:26,320 Speaker 2: I'm hoping you can give me a little bit of 79 00:04:26,320 --> 00:04:30,719 Speaker 2: insight into what's happening with the robotics industry in China 80 00:04:30,800 --> 00:04:33,200 Speaker 2: and whether or not it's a place to look at 81 00:04:33,400 --> 00:04:37,039 Speaker 2: closely when making the choice of putting capital to work. 82 00:04:37,720 --> 00:04:41,000 Speaker 3: You mentioned about robotics, and certainly we have seen in 83 00:04:41,120 --> 00:04:44,359 Speaker 3: industry trade shows and some of these promotional video in 84 00:04:44,400 --> 00:04:48,080 Speaker 3: the social media that the Chinese companies are making very 85 00:04:48,080 --> 00:04:51,080 Speaker 3: good progress. And in fact, at the so called Spring 86 00:04:51,160 --> 00:04:53,760 Speaker 3: Festival Gala, which is one of the most watched show 87 00:04:53,839 --> 00:04:57,440 Speaker 3: by the Chinese kind of consumer, one of the segment 88 00:04:57,480 --> 00:05:01,280 Speaker 3: actually feature a robot doing a tradition Chinese stands, which 89 00:05:01,320 --> 00:05:03,760 Speaker 3: actually gather a lot of attention. And going back to 90 00:05:03,760 --> 00:05:06,839 Speaker 3: your earlier point about President She's meeting with private entrepreneur. 91 00:05:07,160 --> 00:05:10,720 Speaker 3: One of the entrepreneurs actually is the CEO of that 92 00:05:10,800 --> 00:05:14,440 Speaker 3: particular robotic company that was featured at the Spring Festival Galas. 93 00:05:14,440 --> 00:05:17,479 Speaker 3: So certainly, from a policy making standpoint, there seems to 94 00:05:17,520 --> 00:05:21,320 Speaker 3: be a lot of policy support, I think when it 95 00:05:21,360 --> 00:05:25,040 Speaker 3: comes to investing, however, there's also this divide between private 96 00:05:25,080 --> 00:05:28,200 Speaker 3: market versus public market. A lot of these robotic companies 97 00:05:28,240 --> 00:05:31,040 Speaker 3: are still in the startup phase, so I think most 98 00:05:31,080 --> 00:05:33,920 Speaker 3: of the opportunity happens to be in the private space. 99 00:05:34,320 --> 00:05:37,159 Speaker 3: But we have indeed seen investors trying to ask the 100 00:05:37,240 --> 00:05:39,440 Speaker 3: question what are the suppliers? And I think that is 101 00:05:39,480 --> 00:05:42,400 Speaker 3: one area that for the listed market. People are also 102 00:05:42,440 --> 00:05:46,040 Speaker 3: focusing on at the moment, trying to understand that supply 103 00:05:46,120 --> 00:05:48,800 Speaker 3: chain dynamics, because there's a lot of understanding about the 104 00:05:48,839 --> 00:05:51,039 Speaker 3: ev supply chain. I think we're still at the stage 105 00:05:51,040 --> 00:05:53,920 Speaker 3: of understanding a lot of these robotics supply chain as well. 106 00:05:54,200 --> 00:05:56,599 Speaker 2: I think we can agree Jason that the one thing 107 00:05:56,640 --> 00:06:00,120 Speaker 2: that continues to hold back economic activity in China and 108 00:06:00,240 --> 00:06:03,320 Speaker 2: investment for that matter, is the property market. And we're 109 00:06:03,320 --> 00:06:07,960 Speaker 2: getting indications maybe that there's some type of nationalization when 110 00:06:07,960 --> 00:06:11,320 Speaker 2: it comes to China's VUNKA, and I'm wondering whether that 111 00:06:11,360 --> 00:06:15,640 Speaker 2: would send a signal that policymakers in Beijing are really 112 00:06:15,680 --> 00:06:18,720 Speaker 2: trying to do a lot more to bring stability not 113 00:06:18,760 --> 00:06:21,040 Speaker 2: only did the property market. Maybe it's a little bit 114 00:06:21,080 --> 00:06:24,280 Speaker 2: more than stability, it's something where it looks as though 115 00:06:24,279 --> 00:06:26,960 Speaker 2: a solid floor has been put under the market. Is 116 00:06:27,200 --> 00:06:28,200 Speaker 2: that too much to say? 117 00:06:28,520 --> 00:06:30,920 Speaker 3: I think that's a great question, because it is true 118 00:06:31,000 --> 00:06:36,120 Speaker 3: that the AI development today will not resolve the property 119 00:06:36,240 --> 00:06:40,080 Speaker 3: situation in the near term, but it does play a 120 00:06:40,120 --> 00:06:45,600 Speaker 3: part of this overall confidence positive feedback loop. Because part 121 00:06:45,600 --> 00:06:48,120 Speaker 3: of the reason why the Chinese property market is struggling 122 00:06:48,160 --> 00:06:53,479 Speaker 3: is because in consumer as a whole lacking confidence not 123 00:06:53,560 --> 00:06:56,039 Speaker 3: just about their own job prospect, but perhaps to the 124 00:06:56,080 --> 00:07:00,600 Speaker 3: economic development as well. So if part of that confidence 125 00:07:00,680 --> 00:07:04,040 Speaker 3: can be raised thanks to the technological breakthrough, it certainly 126 00:07:04,080 --> 00:07:06,680 Speaker 3: helped kind of change the narrative. I think it's also 127 00:07:06,720 --> 00:07:09,880 Speaker 3: worth keeping in mind that the Chinese household in aggregate 128 00:07:10,120 --> 00:07:12,800 Speaker 3: has actually increased their savings over the years. In fact, 129 00:07:12,840 --> 00:07:15,920 Speaker 3: according to PBOC data as off end of last year, 130 00:07:16,200 --> 00:07:19,200 Speaker 3: the Chinese household as a group actually have one hundred 131 00:07:19,200 --> 00:07:22,680 Speaker 3: and fifty trillion women be worth of savings, and so 132 00:07:22,760 --> 00:07:26,640 Speaker 3: there's certainly some dry powder in the bank account, but 133 00:07:26,720 --> 00:07:29,400 Speaker 3: I think they just don't feeling confident enough to deploy 134 00:07:29,480 --> 00:07:33,360 Speaker 3: that capital into the property market. And so if indeed, 135 00:07:33,480 --> 00:07:36,320 Speaker 3: like you mentioned, there is some resolution of some of 136 00:07:36,360 --> 00:07:39,840 Speaker 3: the troubled property developer, it can certainly play the other 137 00:07:39,880 --> 00:07:43,400 Speaker 3: part of rebuilding that confidence. But our view is that 138 00:07:43,480 --> 00:07:46,080 Speaker 3: this process may take a little bit longer because there's 139 00:07:46,080 --> 00:07:49,040 Speaker 3: still a lot of excess infantry to be digest. But 140 00:07:49,240 --> 00:07:53,160 Speaker 3: if there's indeed a change in the feedback loop when 141 00:07:53,160 --> 00:07:56,920 Speaker 3: it comes to confidence and consumer kind of spending, I 142 00:07:56,960 --> 00:08:01,480 Speaker 3: think this will certainly allow the broader market kid to 143 00:08:01,520 --> 00:08:05,560 Speaker 3: think about the evaluation rerating even further because currently it's 144 00:08:05,680 --> 00:08:07,880 Speaker 3: very much concentrated on the technology sector. 145 00:08:07,960 --> 00:08:10,120 Speaker 2: I want to talk a little bit about trade because 146 00:08:10,440 --> 00:08:12,800 Speaker 2: on Tuesday we had President Trump saying that he is 147 00:08:12,840 --> 00:08:17,600 Speaker 2: planning tariffs on auto, semiconductor and pharmaceutical imports of around 148 00:08:17,960 --> 00:08:21,200 Speaker 2: twenty five percent. Maybe much of that is targeted toward 149 00:08:21,680 --> 00:08:25,400 Speaker 2: Mexico Canada. Certainly China has to be involved in a 150 00:08:25,440 --> 00:08:28,040 Speaker 2: portion of it. Now we know that the Trump administration 151 00:08:28,640 --> 00:08:32,200 Speaker 2: has already placed an additional ten percent tariff, a blanket 152 00:08:32,200 --> 00:08:35,200 Speaker 2: tariff on all Chinese goods. How do you understand the 153 00:08:35,360 --> 00:08:39,560 Speaker 2: risk right now of US tariffs holding back the export 154 00:08:39,559 --> 00:08:40,959 Speaker 2: economy in China. 155 00:08:41,040 --> 00:08:43,520 Speaker 3: That's a good question because if you look back at 156 00:08:43,520 --> 00:08:46,680 Speaker 3: the Chinese economic growth over the past few years, export 157 00:08:46,760 --> 00:08:50,200 Speaker 3: has played a very very important part. But at the 158 00:08:50,200 --> 00:08:54,520 Speaker 3: same time, China also has the benefit of going through 159 00:08:54,559 --> 00:08:57,400 Speaker 3: the trade war one point zero. So our observation is 160 00:08:57,400 --> 00:09:01,440 Speaker 3: that both policymakers and the corporate them seems to be 161 00:09:01,440 --> 00:09:04,880 Speaker 3: better prepared, at least initially. So when you saw the 162 00:09:05,040 --> 00:09:08,439 Speaker 3: ten percent tariff implementation. When we speak with our clients, 163 00:09:08,480 --> 00:09:11,000 Speaker 3: when we speak with our corporate I think they are 164 00:09:11,080 --> 00:09:14,120 Speaker 3: actually saying that they have some plan to deal with 165 00:09:14,160 --> 00:09:18,440 Speaker 3: that initial wave. So from our research perspective, we do 166 00:09:18,559 --> 00:09:20,880 Speaker 3: think that there will be a second round of teriff 167 00:09:20,920 --> 00:09:24,200 Speaker 3: high potentially in the second half of the year as well, 168 00:09:24,200 --> 00:09:27,040 Speaker 3: So there will be some incremental headwind, but at least 169 00:09:27,080 --> 00:09:31,240 Speaker 3: based on what we observe initially, the market, the corporates, 170 00:09:31,240 --> 00:09:33,320 Speaker 3: and the policy maker seems to be well prepared for 171 00:09:33,360 --> 00:09:36,480 Speaker 3: that initial wave. I think what could be a little 172 00:09:36,480 --> 00:09:38,480 Speaker 3: bit trickier for the rest of the region is that 173 00:09:38,760 --> 00:09:42,240 Speaker 3: markets like Japan, Corea, and Taiwan may not be fully 174 00:09:42,280 --> 00:09:45,120 Speaker 3: prepared for these type of terriffs. You mentioned about pharmaceutical 175 00:09:45,280 --> 00:09:48,640 Speaker 3: chips and all those Those are also very important industry 176 00:09:49,040 --> 00:09:51,480 Speaker 3: for those markets as well, and so we think there 177 00:09:51,520 --> 00:09:54,760 Speaker 3: could be some interesting divergence starting to develop across those 178 00:09:54,800 --> 00:09:58,280 Speaker 3: market depending on how prepared they are or how sensitive 179 00:09:58,280 --> 00:10:00,320 Speaker 3: they are to these and new rounds of terariff when 180 00:10:00,320 --> 00:10:02,959 Speaker 3: it comes to the broader Asian equity market. 181 00:10:02,760 --> 00:10:04,840 Speaker 2: It's a very good point, Jason, Thank you so much 182 00:10:05,120 --> 00:10:08,120 Speaker 2: for lending your perspective. Jason Leu there head of APAC 183 00:10:08,200 --> 00:10:12,800 Speaker 2: Equity and Derivative Strategy at BNP Pariba, joining us from 184 00:10:12,880 --> 00:10:23,199 Speaker 2: Hong Kong here on the Daybreak Gaisia Podcast. Welcome back 185 00:10:23,240 --> 00:10:26,440 Speaker 2: to the Daybreak Gaisia Podcast. I'm Doug Prisner. So the 186 00:10:26,520 --> 00:10:29,240 Speaker 2: US equity market returned from the holiday and set a 187 00:10:29,280 --> 00:10:32,000 Speaker 2: record high. We had a rally among chip makers, also 188 00:10:32,040 --> 00:10:35,199 Speaker 2: a bit of optimism tied to the potential for the 189 00:10:35,320 --> 00:10:37,320 Speaker 2: end of war in Ukraine. We had the S and 190 00:10:37,360 --> 00:10:39,560 Speaker 2: P picking up just two tens at one percent. That 191 00:10:39,720 --> 00:10:42,120 Speaker 2: was enough for a record at sixty one twenty nine. 192 00:10:42,400 --> 00:10:44,280 Speaker 2: Joining me now for a closer look at the action 193 00:10:44,559 --> 00:10:47,960 Speaker 2: Jim Thorne. He is the chief market strategist at Wellington 194 00:10:48,000 --> 00:10:51,080 Speaker 2: ALTUS Private Wealth. Jim joins us from Toronto. Good of 195 00:10:51,120 --> 00:10:52,839 Speaker 2: you to make time to chat with us. What did 196 00:10:52,840 --> 00:10:54,280 Speaker 2: you make of today's price section. 197 00:10:54,920 --> 00:10:57,320 Speaker 1: I think we're just you know, climbing the walla worry 198 00:10:57,320 --> 00:10:59,040 Speaker 1: and it just seems to me that we're having this 199 00:10:59,160 --> 00:11:02,800 Speaker 1: rolling bull market where a section or a sector takes 200 00:11:02,800 --> 00:11:05,480 Speaker 1: a breather and another one comes to the forefront. Today 201 00:11:05,480 --> 00:11:08,400 Speaker 1: it was, you know, semiconductors. I think we're going to 202 00:11:08,400 --> 00:11:11,960 Speaker 1: get a nice bid going into the Navidia earnings call. 203 00:11:12,080 --> 00:11:13,920 Speaker 1: And you know now that all the fears of the 204 00:11:14,000 --> 00:11:18,480 Speaker 1: deep seek, you know, popping of the AI bubble is over. 205 00:11:20,000 --> 00:11:22,439 Speaker 1: You know, Semi's can run here. And I also think 206 00:11:22,480 --> 00:11:26,720 Speaker 1: at the same point in time, very interesting things happening 207 00:11:26,720 --> 00:11:29,679 Speaker 1: in the Ukraine. And you know, Doug, you know, I 208 00:11:29,760 --> 00:11:35,120 Speaker 1: think the cornerstone to President's Trump second term is going 209 00:11:35,160 --> 00:11:37,680 Speaker 1: to be peace and a piece dividend coming back. And 210 00:11:38,080 --> 00:11:39,880 Speaker 1: you know, Ukraine, We're going to get a deal there, 211 00:11:39,920 --> 00:11:41,920 Speaker 1: and I honestly think that we're going to get a 212 00:11:41,960 --> 00:11:46,160 Speaker 1: deal in China. And so I think, you know, investors 213 00:11:46,200 --> 00:11:49,280 Speaker 1: have to start looking at the fact that the cornerstone 214 00:11:49,360 --> 00:11:52,920 Speaker 1: to President's Trump economic policy is peace throughout the world. 215 00:11:53,080 --> 00:11:56,360 Speaker 2: Well, Jim, I'm wondering if you are as optimistic about 216 00:11:56,600 --> 00:11:59,920 Speaker 2: President Trump's trade policy today. Even he floated the idea 217 00:12:00,520 --> 00:12:06,080 Speaker 2: of twenty five percent tariffs on autos, pharmaceuticals, and semiconductors. 218 00:12:06,440 --> 00:12:09,319 Speaker 2: Maybe we'll get some clarity by the time that April 219 00:12:09,400 --> 00:12:11,840 Speaker 2: second has arrived. That's when he said he would possibly 220 00:12:11,880 --> 00:12:15,280 Speaker 2: make an announcement. You're speaking to me from Toronto. I 221 00:12:15,400 --> 00:12:19,960 Speaker 2: know that the Canadians are very upset about these proposed tariffs. 222 00:12:20,000 --> 00:12:23,000 Speaker 2: I mean, is this a net positive? Do you think 223 00:12:23,040 --> 00:12:26,600 Speaker 2: will it lead to some kind of constructive negotiations where 224 00:12:26,640 --> 00:12:30,440 Speaker 2: there will be a win win, Yeah? To the DOUG. 225 00:12:30,480 --> 00:12:33,120 Speaker 1: I'm a trained economists, I have a PhD. And I'm 226 00:12:33,160 --> 00:12:37,040 Speaker 1: also American living up here in Toronto, so okay, it's 227 00:12:37,080 --> 00:12:40,520 Speaker 1: kind of I have a very interesting view. First. First look, 228 00:12:40,880 --> 00:12:45,360 Speaker 1: the post World War two era is over right to 229 00:12:45,440 --> 00:12:49,800 Speaker 1: use an economic term, you know, the Raccardian trade theory 230 00:12:49,920 --> 00:12:54,040 Speaker 1: of comparative advantage no longer works if China, in India 231 00:12:54,440 --> 00:12:58,320 Speaker 1: and Europe are going to practice mercantilist trade policies, and 232 00:12:58,360 --> 00:13:02,760 Speaker 1: mister Trump is right to implement tariffs. Having said that, DOUG, 233 00:13:02,880 --> 00:13:07,880 Speaker 1: only fourteen percent of goods and services total, fourteen percent 234 00:13:07,920 --> 00:13:10,040 Speaker 1: of the total goods and services in the United States 235 00:13:10,040 --> 00:13:13,360 Speaker 1: are imported, So we're going to work through this. It's 236 00:13:13,400 --> 00:13:16,480 Speaker 1: going to be a shock, it's not going to be inflationary. 237 00:13:17,080 --> 00:13:20,400 Speaker 1: Nobody should be surprised. But as I say up here 238 00:13:20,440 --> 00:13:23,920 Speaker 1: to my Canadian friends, I really don't think mister Trump 239 00:13:24,000 --> 00:13:27,920 Speaker 1: is talking about tariffs to protect Wisconsin cheese. I think 240 00:13:28,640 --> 00:13:31,040 Speaker 1: we really have to start thinking about this in the 241 00:13:31,160 --> 00:13:35,640 Speaker 1: geostrategic space where mister Trump wants to have security for 242 00:13:35,679 --> 00:13:38,920 Speaker 1: the United States and he does not want to have 243 00:13:39,000 --> 00:13:41,760 Speaker 1: business as usual. So I look at it as a 244 00:13:41,880 --> 00:13:44,920 Speaker 1: very positive My target for the S and P five 245 00:13:45,000 --> 00:13:48,200 Speaker 1: hundred this year is seven thousand. I think by the 246 00:13:48,280 --> 00:13:50,560 Speaker 1: end of President Trump's second term we could be up 247 00:13:50,559 --> 00:13:54,920 Speaker 1: to fourteen thousand. Mister Trump gets his piece, we have 248 00:13:55,000 --> 00:13:58,760 Speaker 1: a really good shot of getting the golden age that 249 00:13:58,840 --> 00:14:02,760 Speaker 1: mister Trump is talking. So I'm constructive and I take 250 00:14:02,800 --> 00:14:06,520 Speaker 1: the noise of the terriffs as just at a negotiation point. 251 00:14:06,600 --> 00:14:09,120 Speaker 2: Well, it's interesting that you don't feel as though even 252 00:14:09,200 --> 00:14:12,720 Speaker 2: the potential for teriffs would be inflationary right now. The 253 00:14:12,760 --> 00:14:15,960 Speaker 2: FED is still on hold when it comes to drawing 254 00:14:16,000 --> 00:14:18,920 Speaker 2: a conclusion on that front. We've heard from a number 255 00:14:18,920 --> 00:14:21,320 Speaker 2: of policy makers. The FED is clearly not in a 256 00:14:21,400 --> 00:14:23,800 Speaker 2: rush to cut interest rates. Do you think there is 257 00:14:23,840 --> 00:14:26,520 Speaker 2: a risk that we do on the rate front remain 258 00:14:26,840 --> 00:14:28,120 Speaker 2: higher for much longer? 259 00:14:28,640 --> 00:14:32,080 Speaker 1: I think the risk DUG is a hard landing in 260 00:14:32,200 --> 00:14:36,200 Speaker 1: twenty six and so if we use, if we DOGE 261 00:14:36,280 --> 00:14:40,240 Speaker 1: is going to be more successful than people think. We're 262 00:14:41,200 --> 00:14:45,480 Speaker 1: transitioning from an economy that is hooked on government spending 263 00:14:45,960 --> 00:14:48,920 Speaker 1: to an economy where the private sector takes the lead, 264 00:14:49,200 --> 00:14:52,640 Speaker 1: typically DUG. When that happens, we get an air pocket 265 00:14:52,680 --> 00:14:55,760 Speaker 1: for growth after World War One, after World War two, 266 00:14:56,680 --> 00:15:00,800 Speaker 1: So look up here in Canada, the lag for monetary 267 00:15:00,880 --> 00:15:05,560 Speaker 1: policies about two years, and this economy appears much more 268 00:15:05,600 --> 00:15:11,400 Speaker 1: interest rate sensitive. Back in the States, it's around three years. 269 00:15:11,640 --> 00:15:14,360 Speaker 1: So what I find so frustrating, Doug, is, you know, 270 00:15:14,440 --> 00:15:18,120 Speaker 1: we're talking about they should be normalizing to two seventy five, 271 00:15:18,640 --> 00:15:21,920 Speaker 1: and yet what do we hear continually is that if 272 00:15:21,920 --> 00:15:26,080 Speaker 1: the FED cuts rates now today, that is going to 273 00:15:26,120 --> 00:15:30,560 Speaker 1: affect inflation today. It's not if it's three years, Doug, 274 00:15:30,800 --> 00:15:34,240 Speaker 1: We're talking late twenty seven and into twenty eight, which 275 00:15:34,280 --> 00:15:37,960 Speaker 1: I think the Fed is on the wrong side of history. Again, 276 00:15:38,160 --> 00:15:40,880 Speaker 1: they should be normalizing. And what we talk to our 277 00:15:40,880 --> 00:15:43,600 Speaker 1: clients at Wellington is the fact that we've got to 278 00:15:43,640 --> 00:15:47,200 Speaker 1: expect a growth scare coming into twenty six and into 279 00:15:47,240 --> 00:15:47,960 Speaker 1: twenty seven. 280 00:15:48,120 --> 00:15:51,360 Speaker 2: So we talked about the possibility that inflation will prove 281 00:15:51,440 --> 00:15:53,960 Speaker 2: sticky here in the US. But what about where you 282 00:15:54,000 --> 00:15:57,720 Speaker 2: are in Canada consumer prices reaccelerating for the first time 283 00:15:57,720 --> 00:16:00,160 Speaker 2: in three months. Does that concern you in the slow. 284 00:16:01,280 --> 00:16:06,200 Speaker 1: No, Because, as an old economics professor, interest rate hikes 285 00:16:06,240 --> 00:16:10,560 Speaker 1: in particular points of the cycle are inflationary. So if 286 00:16:10,600 --> 00:16:14,880 Speaker 1: you take out mortgage interest costs up here that's the 287 00:16:14,920 --> 00:16:18,680 Speaker 1: Bank of can Or rate hikes. Over nine months, inflation 288 00:16:18,880 --> 00:16:23,240 Speaker 1: is negative one point three percent, and over six months 289 00:16:23,280 --> 00:16:27,720 Speaker 1: it's it's negative three percent. We're following China into deflation. 290 00:16:28,280 --> 00:16:30,200 Speaker 1: And if you look at the United States, you do 291 00:16:30,280 --> 00:16:33,920 Speaker 1: the same thing. Take out shelter right and you're you're 292 00:16:33,960 --> 00:16:38,600 Speaker 1: below target. And so you know there are unique times 293 00:16:38,680 --> 00:16:42,520 Speaker 1: in the cycle where right hikes are inflationary and when 294 00:16:42,760 --> 00:16:48,800 Speaker 1: inflation is driven by shelter costs, which it is, and 295 00:16:48,840 --> 00:16:50,840 Speaker 1: you go, I think the thirty year I mean, when 296 00:16:50,880 --> 00:16:53,040 Speaker 1: I was living in DC for fifteen years, I had 297 00:16:53,080 --> 00:16:56,320 Speaker 1: a one to seventy five mortgage. Right A mortgage right 298 00:16:56,320 --> 00:16:58,680 Speaker 1: now I think I checked today is seven percent a 299 00:16:58,840 --> 00:17:02,720 Speaker 1: jumbo is. I think seven point thirty's that's going to 300 00:17:02,800 --> 00:17:05,879 Speaker 1: create inflation in the housing market in the FED. The 301 00:17:06,000 --> 00:17:10,160 Speaker 1: countertuite of move that the FED should be doing right now, 302 00:17:10,240 --> 00:17:13,159 Speaker 1: which is frustrating is the fact that they should be 303 00:17:13,240 --> 00:17:17,480 Speaker 1: cutting rates to bring inflation down, bring the cost of 304 00:17:17,560 --> 00:17:20,040 Speaker 1: housing down, inflation will fall. 305 00:17:20,440 --> 00:17:23,119 Speaker 2: I was looking at a survey today from Bank of America. 306 00:17:23,480 --> 00:17:27,639 Speaker 2: It found that global stocks have become the most popular 307 00:17:27,760 --> 00:17:32,280 Speaker 2: asset class among investors and BAA strategist Michael Hartnett was 308 00:17:32,320 --> 00:17:36,160 Speaker 2: saying that investors are long stalks, short everything else. If 309 00:17:36,200 --> 00:17:39,359 Speaker 2: that is true, are you a little concerned that maybe 310 00:17:39,359 --> 00:17:40,960 Speaker 2: the boat is somewhat lopsided. 311 00:17:41,400 --> 00:17:45,320 Speaker 1: No, I think you've got the demographics of the of 312 00:17:45,400 --> 00:17:50,800 Speaker 1: the millennials, in the younger generation just entering into family 313 00:17:50,880 --> 00:17:54,920 Speaker 1: formation and saving years. So we're in a secular bull market. 314 00:17:55,440 --> 00:17:59,800 Speaker 1: So no, I don't see that. And I think, you know, 315 00:18:00,240 --> 00:18:03,159 Speaker 1: when you look at action in Ali Baba and the 316 00:18:03,200 --> 00:18:06,560 Speaker 1: action in the Chinese market or in the hand saying, 317 00:18:07,119 --> 00:18:09,720 Speaker 1: or you look at action in the you know, the 318 00:18:09,760 --> 00:18:13,680 Speaker 1: Europe and the EUROSOC fifty, you're getting good action. And 319 00:18:14,480 --> 00:18:17,320 Speaker 1: what I just keep saying to clients is, you know, 320 00:18:17,400 --> 00:18:19,920 Speaker 1: first off, I think the United States is the place 321 00:18:19,960 --> 00:18:23,280 Speaker 1: to invest. I think technology is the place to be. 322 00:18:23,920 --> 00:18:26,359 Speaker 1: I think mister Trump is going to usher in four 323 00:18:26,440 --> 00:18:31,040 Speaker 1: years of really solid economic growth and it's really about 324 00:18:31,080 --> 00:18:33,560 Speaker 1: not owning cash, right. And so I had a big 325 00:18:33,640 --> 00:18:37,159 Speaker 1: discussion today about Ali Baba, and you know, she is 326 00:18:37,200 --> 00:18:39,720 Speaker 1: doing this big pivot, and I don't think we should 327 00:18:39,760 --> 00:18:43,240 Speaker 1: be could be surprised that that China and mister Trump 328 00:18:44,040 --> 00:18:46,880 Speaker 1: come up with an early deal. China has to cut 329 00:18:46,880 --> 00:18:49,400 Speaker 1: a deal, and so do you know, do you want 330 00:18:49,440 --> 00:18:51,480 Speaker 1: to buy the k web right or do you want 331 00:18:51,520 --> 00:18:54,520 Speaker 1: to buy Ali Baba? And typically for acid allocators in 332 00:18:54,560 --> 00:18:58,400 Speaker 1: North America, you know your exposure to you know, China 333 00:18:58,560 --> 00:19:01,440 Speaker 1: or to emerging markets out of the end. Maybe it's 334 00:19:01,480 --> 00:19:05,080 Speaker 1: five percent, maybe it's ten percent. So I'm advocating to 335 00:19:05,200 --> 00:19:08,480 Speaker 1: do that. But I still think to the preponderance or 336 00:19:08,480 --> 00:19:12,280 Speaker 1: the significant portion of your portfolio should be focused on 337 00:19:12,840 --> 00:19:15,760 Speaker 1: secular growth names in the United States because that's the 338 00:19:15,800 --> 00:19:17,040 Speaker 1: place where all the action is. 339 00:19:17,200 --> 00:19:19,359 Speaker 2: But Jim, I'm wondering if there is one thing that 340 00:19:19,480 --> 00:19:22,399 Speaker 2: concerns you to the extent that it would kind of 341 00:19:22,480 --> 00:19:25,560 Speaker 2: reverse your optimism. Is there one thing that you're worried 342 00:19:25,600 --> 00:19:29,000 Speaker 2: about and you're looking at very closely, Where if the 343 00:19:29,040 --> 00:19:32,760 Speaker 2: needle on that whatever it happens to me, moves, you're 344 00:19:32,840 --> 00:19:34,119 Speaker 2: going to change your strategy. 345 00:19:34,720 --> 00:19:37,040 Speaker 1: Well, it's never saying never, right, I mean, you've got 346 00:19:37,040 --> 00:19:40,800 Speaker 1: to check your biases at the door and continually, you know, 347 00:19:41,920 --> 00:19:45,520 Speaker 1: change your thesis if something major happens. I mean, I 348 00:19:45,560 --> 00:19:48,480 Speaker 1: think in the United States, it's fine, right, I think 349 00:19:48,680 --> 00:19:51,640 Speaker 1: you've got the set. You know, you've got to dynamite cabinet. 350 00:19:52,359 --> 00:19:57,479 Speaker 1: I mean, it's you're talking Howard Ludnik just got voted in. 351 00:19:57,600 --> 00:20:02,760 Speaker 1: You've got percent I mean, Treasury secretary is a superstar, right, 352 00:20:02,800 --> 00:20:06,320 Speaker 1: You've got Elon Musk doing doge and you're finding waste 353 00:20:06,400 --> 00:20:10,320 Speaker 1: I mean, Doug. My non consensus view coming into this 354 00:20:10,440 --> 00:20:14,280 Speaker 1: year is that they would find more waste and cut 355 00:20:14,320 --> 00:20:17,960 Speaker 1: the deficit quicker right, which is a complete and total 356 00:20:18,000 --> 00:20:20,840 Speaker 1: non consensus call. So I'm happy with the United States 357 00:20:21,040 --> 00:20:23,760 Speaker 1: up here north of the border. I'm worried about the 358 00:20:23,840 --> 00:20:27,960 Speaker 1: liberals getting in. And I really think that those countries 359 00:20:28,040 --> 00:20:32,720 Speaker 1: that don't understand that we are in this generation historic 360 00:20:32,840 --> 00:20:38,160 Speaker 1: pivot away from progressive left policies too much more towards 361 00:20:38,160 --> 00:20:41,520 Speaker 1: the center, and I would say towards economic policies coming 362 00:20:41,560 --> 00:20:45,199 Speaker 1: out of the University of Chicago and Milton Friedman, you know, 363 00:20:45,240 --> 00:20:51,000 Speaker 1: a libertarian small government, big private sector for those countries 364 00:20:51,080 --> 00:20:53,920 Speaker 1: that do not understand that they're going to be left behind. 365 00:20:54,280 --> 00:20:56,320 Speaker 2: Jim, we'll leave it there. Thank you for joining us. 366 00:20:56,359 --> 00:20:58,840 Speaker 2: Jim Thorn there. He is the chief market strategist at 367 00:20:58,920 --> 00:21:02,439 Speaker 2: Wellington Alta's Private Wealth. Joining us from Toronto here on 368 00:21:02,480 --> 00:21:07,960 Speaker 2: the Daybreak Asia podcast. Thanks for listening to today's episode 369 00:21:08,000 --> 00:21:12,000 Speaker 2: of the Bloomberg Daybreak Asia Edition podcast. Each weekday, we 370 00:21:12,080 --> 00:21:15,960 Speaker 2: look at the story shaping markets, finance, and geopolitics in 371 00:21:16,000 --> 00:21:19,159 Speaker 2: the Asia Pacific. You can find us on Apple, Spotify, 372 00:21:19,320 --> 00:21:22,800 Speaker 2: the Bloomberg Podcast YouTube channel, or anywhere else you listen. 373 00:21:23,200 --> 00:21:26,120 Speaker 2: Join us again tomorrow for insight on the market moves 374 00:21:26,160 --> 00:21:30,680 Speaker 2: from Hong Kong to Singapore and Australia. I'm Doug Chrisner, 375 00:21:30,880 --> 00:21:32,280 Speaker 2: and this is Bloomberg