1 00:00:02,520 --> 00:00:07,040 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:11,280 --> 00:00:14,560 Speaker 2: Welcome to the Bloomberg Daybreak Asia Podcast. I'm Doug Krisner. 3 00:00:14,800 --> 00:00:16,959 Speaker 2: Certainly was a risk off day in the US, and 4 00:00:17,000 --> 00:00:19,759 Speaker 2: that included bitcoin. In a moment, we'll take a look 5 00:00:19,760 --> 00:00:22,759 Speaker 2: at the crypto space with Peter Chung, head of research 6 00:00:22,840 --> 00:00:25,880 Speaker 2: at Presto Research. But we begin in Hong Kong with 7 00:00:26,000 --> 00:00:30,840 Speaker 2: Helen Ju, Managing director and CIO of NF Trinity. Happy 8 00:00:30,840 --> 00:00:33,200 Speaker 2: New Year, Helen, Thank you for joining us. It's always 9 00:00:33,200 --> 00:00:35,400 Speaker 2: a pleasure. There's a lot to cover. We can talk 10 00:00:35,440 --> 00:00:38,199 Speaker 2: about the FED and some of the policies that we're 11 00:00:38,240 --> 00:00:41,640 Speaker 2: expecting from the incoming Trump administration in a moment, But 12 00:00:41,720 --> 00:00:44,479 Speaker 2: I'd like to begin with technology because we saw a 13 00:00:44,520 --> 00:00:47,319 Speaker 2: pretty good pullback today in Nvidia. I think in New 14 00:00:47,360 --> 00:00:50,840 Speaker 2: York trading we were down around six percent. That seemed 15 00:00:50,880 --> 00:00:54,360 Speaker 2: to be correlated to disappointment over what the market heard 16 00:00:54,440 --> 00:00:58,840 Speaker 2: yesterday when CEO Jensen Huang gave the keynote address at 17 00:00:58,840 --> 00:01:02,200 Speaker 2: CEES he fail to mention he failed to mention the 18 00:01:02,200 --> 00:01:05,520 Speaker 2: company's next generation of chips Rubin, and that may have 19 00:01:05,640 --> 00:01:08,280 Speaker 2: been driving a lot of the disappointment. How are you 20 00:01:08,440 --> 00:01:09,920 Speaker 2: viewing AI right now? 21 00:01:09,959 --> 00:01:14,000 Speaker 3: Broadly speaking, look, I think that AI has obviously been 22 00:01:15,040 --> 00:01:18,959 Speaker 3: really the key momentum driver behind the broader market since 23 00:01:19,000 --> 00:01:21,760 Speaker 3: pretty much March of twenty twenty three, when the. 24 00:01:21,760 --> 00:01:23,319 Speaker 4: Chat GPT started to take off. 25 00:01:24,240 --> 00:01:26,839 Speaker 3: I think a lot of the upward revision in terms 26 00:01:26,840 --> 00:01:31,120 Speaker 3: of expectations has already happened, and it really depends on 27 00:01:31,160 --> 00:01:35,480 Speaker 3: which segment of the ecosystem you're operating in to figure 28 00:01:35,480 --> 00:01:38,120 Speaker 3: out whether there is still further upside. So what we 29 00:01:38,240 --> 00:01:41,000 Speaker 3: have seen initially is that most of the focus has 30 00:01:41,000 --> 00:01:45,200 Speaker 3: been on Nvidia and on the GPU, and then gradually 31 00:01:45,240 --> 00:01:47,720 Speaker 3: it actually spread out to other parts as well. Like 32 00:01:48,120 --> 00:01:50,360 Speaker 3: you know, any company that has some application that has 33 00:01:50,400 --> 00:01:52,240 Speaker 3: to do with AI, or even like one or two 34 00:01:52,280 --> 00:01:54,840 Speaker 3: percent of revenues coming from AI starts to become AI 35 00:01:54,920 --> 00:01:58,800 Speaker 3: plays and see meaningful valuation expansion. Now we're kind of 36 00:01:58,840 --> 00:02:01,200 Speaker 3: getting to the stage where the expectation is high enough 37 00:02:01,520 --> 00:02:05,040 Speaker 3: that it's quite easy to miss the high expectations, and therefore, 38 00:02:05,080 --> 00:02:07,760 Speaker 3: just like before you had twenty five percent share price 39 00:02:07,840 --> 00:02:10,639 Speaker 3: move on the back of a slight beat and two 40 00:02:10,720 --> 00:02:15,120 Speaker 3: percent of revenue AI product, now the opposite can also happen, 41 00:02:15,440 --> 00:02:17,760 Speaker 3: and so it's becoming much more selective and much more 42 00:02:17,840 --> 00:02:20,120 Speaker 3: volatile versus Before let's talk. 43 00:02:19,960 --> 00:02:22,200 Speaker 2: A little bit about the macro. Some of the economic 44 00:02:22,240 --> 00:02:24,280 Speaker 2: news that we had here in the US seemed to 45 00:02:24,360 --> 00:02:28,320 Speaker 2: trigger concern about stubborn inflation, and with that the bet 46 00:02:28,360 --> 00:02:30,040 Speaker 2: that the FED is not going to be aggressive in 47 00:02:30,080 --> 00:02:33,480 Speaker 2: cutting rates again, maybe not until July. So how are 48 00:02:33,560 --> 00:02:36,000 Speaker 2: you viewing the US inflation story right now? 49 00:02:36,440 --> 00:02:38,040 Speaker 3: I think a lot of it is still very much 50 00:02:38,120 --> 00:02:41,440 Speaker 3: dependent on services, and in terms of the goods front, 51 00:02:41,480 --> 00:02:45,040 Speaker 3: we've already seen meaningful disinflation, and actually the broader trend 52 00:02:45,160 --> 00:02:46,600 Speaker 3: is not so concerning. 53 00:02:46,600 --> 00:02:48,880 Speaker 4: If you look at the small amount. 54 00:02:48,639 --> 00:02:51,800 Speaker 3: Of inflation beat versus expectation, it is really kind of 55 00:02:51,880 --> 00:02:53,720 Speaker 3: like a very very minor amount. 56 00:02:53,760 --> 00:02:55,320 Speaker 4: But I think we do see that. 57 00:02:55,440 --> 00:02:58,520 Speaker 3: Last night, for example, the macro data across the board 58 00:02:58,960 --> 00:03:01,520 Speaker 3: was quite strong. Think that, you know, things are really 59 00:03:01,520 --> 00:03:04,239 Speaker 3: not slowing down. And I think the other main source 60 00:03:04,280 --> 00:03:06,240 Speaker 3: of the concern about the inflation is not only what 61 00:03:06,240 --> 00:03:09,040 Speaker 3: we're seeing today from the strong economy, but also what 62 00:03:09,080 --> 00:03:11,640 Speaker 3: we might see going forward from both the trade tariffs 63 00:03:11,680 --> 00:03:14,679 Speaker 3: as well as the loss of labor from the immigration 64 00:03:14,760 --> 00:03:18,079 Speaker 3: policies that Trump is likely to implement. So that's why 65 00:03:18,080 --> 00:03:21,560 Speaker 3: people are getting increasingly concerned, not necessarily because of today's data, 66 00:03:21,600 --> 00:03:24,080 Speaker 3: but because of what might happen policy wise over the 67 00:03:24,080 --> 00:03:26,760 Speaker 3: next three to six months, where there's a significant amount 68 00:03:26,760 --> 00:03:27,519 Speaker 3: of uncertainty. 69 00:03:27,760 --> 00:03:31,200 Speaker 2: Uncertainty, but you're kind of indicating maybe concern about rising 70 00:03:31,200 --> 00:03:33,520 Speaker 2: inflation longer term, right, I. 71 00:03:33,440 --> 00:03:36,600 Speaker 3: Mean, yeah, I mean the new normal or the kind 72 00:03:36,640 --> 00:03:39,560 Speaker 3: of longer term normal is certainly going to be higher 73 00:03:39,680 --> 00:03:41,760 Speaker 3: versus before because of a lot of the structural things 74 00:03:41,760 --> 00:03:44,400 Speaker 3: that have changed, So for example, the deglobalization, right, so 75 00:03:45,600 --> 00:03:48,400 Speaker 3: those are or maybe you know, even though the technology 76 00:03:48,440 --> 00:03:52,320 Speaker 3: has been helping, maybe the impact of the technology disinflationary 77 00:03:52,320 --> 00:03:55,240 Speaker 3: trend was seen earlier, like maybe one or you know, 78 00:03:55,280 --> 00:03:55,600 Speaker 3: one and a. 79 00:03:55,600 --> 00:03:56,480 Speaker 4: Half decades ago. 80 00:03:56,600 --> 00:04:00,640 Speaker 3: So obviously, if AI really has a very significant impact 81 00:04:00,640 --> 00:04:03,680 Speaker 3: in terms of lifting productivity, that's going to be the 82 00:04:03,840 --> 00:04:06,360 Speaker 3: huge offsetting factor. But at the moment we're still at 83 00:04:06,400 --> 00:04:08,720 Speaker 3: the very beginning of that. It's very difficult to quantify 84 00:04:08,840 --> 00:04:11,880 Speaker 3: or to figure out how much impact it can have. 85 00:04:12,440 --> 00:04:14,440 Speaker 2: So if you can accept the idea that maybe we 86 00:04:14,520 --> 00:04:17,799 Speaker 2: only get one rate cut this year, the dollar really 87 00:04:17,839 --> 00:04:21,039 Speaker 2: is going to reflect that and remain very robust against 88 00:04:21,080 --> 00:04:24,680 Speaker 2: the majors. And I'm sure that for someone in the 89 00:04:24,720 --> 00:04:26,960 Speaker 2: Asia pack that has to put money to work. That's 90 00:04:27,000 --> 00:04:29,279 Speaker 2: going to be increasingly challenging, is it not. 91 00:04:30,040 --> 00:04:33,960 Speaker 3: Yeah, it's already been challenging, right, So obviously, beginning of 92 00:04:34,000 --> 00:04:36,640 Speaker 3: last year, people were expecting like six rate cuts last 93 00:04:36,720 --> 00:04:39,640 Speaker 3: year and maybe four more this year, and then now, 94 00:04:39,680 --> 00:04:42,919 Speaker 3: you know, looking back, the economy has been surprisingly strong 95 00:04:42,960 --> 00:04:45,520 Speaker 3: in the US, and you know, now I think the 96 00:04:45,560 --> 00:04:47,800 Speaker 3: expectation is a little bit extreme on the other side 97 00:04:47,880 --> 00:04:49,560 Speaker 3: because of a few things. 98 00:04:49,600 --> 00:04:51,839 Speaker 4: One is that, actually, if you think about it. 99 00:04:52,160 --> 00:04:54,240 Speaker 3: A lot of the job's data over the last few 100 00:04:54,760 --> 00:04:57,359 Speaker 3: one or two quarters has actually been quite volatile. So 101 00:04:57,880 --> 00:05:00,600 Speaker 3: it's sure this month we had very very strong data, 102 00:05:00,720 --> 00:05:04,719 Speaker 3: but we can't be assured that the employment data is 103 00:05:04,720 --> 00:05:07,640 Speaker 3: going to be consistent throughout. And if you do have 104 00:05:07,720 --> 00:05:09,800 Speaker 3: one or two months of air pocket again, then I 105 00:05:09,800 --> 00:05:12,440 Speaker 3: think the yields will sell off and people start to 106 00:05:12,440 --> 00:05:15,400 Speaker 3: get more concerned again. The second thing is that a 107 00:05:15,400 --> 00:05:19,359 Speaker 3: lot of this tariff and immigration policy, and tariff in 108 00:05:19,400 --> 00:05:24,640 Speaker 3: particular is not only inflationary, but also potentially going to 109 00:05:24,720 --> 00:05:28,039 Speaker 3: hurt growth in the US, hurt US corporates, and hurt 110 00:05:28,080 --> 00:05:31,479 Speaker 3: overall activity globally, which will then have indirect impact on 111 00:05:31,600 --> 00:05:34,240 Speaker 3: the US economy as well, So if that actually happens 112 00:05:34,279 --> 00:05:38,040 Speaker 3: and US data gets affected, that could also actually increase 113 00:05:38,080 --> 00:05:41,760 Speaker 3: the expectations regarding more ray cuts versus before. So at 114 00:05:41,760 --> 00:05:44,560 Speaker 3: the moment, it feels very firm, but usually those are 115 00:05:44,600 --> 00:05:46,760 Speaker 3: the moments when you can't really see anything going wrong. 116 00:05:46,839 --> 00:05:48,400 Speaker 3: Those are the moments when you're. 117 00:05:48,120 --> 00:05:50,200 Speaker 4: Just like on the cusp of something going wrong. 118 00:05:50,560 --> 00:05:52,960 Speaker 3: And I think expectations about the US economy and it's 119 00:05:53,120 --> 00:05:57,680 Speaker 3: robustness and the yield outlook are quite quite uppy at 120 00:05:57,680 --> 00:05:58,039 Speaker 3: the moment. 121 00:05:58,240 --> 00:06:01,200 Speaker 2: How are you viewing China right now? And opportunities there. 122 00:06:01,640 --> 00:06:04,919 Speaker 3: Opportunity is definitely there, But I don't think it's about 123 00:06:04,920 --> 00:06:08,800 Speaker 3: domestic stimulus necessarily. Domestic simulus is only enough to get 124 00:06:08,839 --> 00:06:12,480 Speaker 3: people to feel like things aren't getting incrementally much worse. 125 00:06:13,279 --> 00:06:16,839 Speaker 3: But all the sentiment and expectation and hopes and confidence 126 00:06:17,000 --> 00:06:21,359 Speaker 3: rests on really the geopolitical aspect, right So if you 127 00:06:21,480 --> 00:06:25,719 Speaker 3: do have very egregious trade policies, it's going to massively 128 00:06:25,839 --> 00:06:27,920 Speaker 3: hit sentiment and the markets are not going to perform 129 00:06:27,960 --> 00:06:31,080 Speaker 3: no matter how much domestic policy stimulus you have, And 130 00:06:31,279 --> 00:06:32,680 Speaker 3: so I think that's the key thing to watch. 131 00:06:32,720 --> 00:06:35,000 Speaker 4: I think I hope that China and the US as 132 00:06:35,040 --> 00:06:35,400 Speaker 4: well as. 133 00:06:35,320 --> 00:06:37,600 Speaker 3: The US and other major markets that it's dealing with, 134 00:06:38,080 --> 00:06:41,599 Speaker 3: will have a rapid negotiation at the beginning of this 135 00:06:41,680 --> 00:06:43,479 Speaker 3: year and try to sort out some of the differences 136 00:06:43,839 --> 00:06:47,200 Speaker 3: rather than having it you know, drag out through the 137 00:06:47,200 --> 00:06:49,400 Speaker 3: rest of the year, which would be actually very negative 138 00:06:49,400 --> 00:06:51,880 Speaker 3: for global economy and sentiment. 139 00:06:52,040 --> 00:06:54,240 Speaker 2: So we've covered a lot of themes, Helen, can you 140 00:06:54,320 --> 00:06:58,159 Speaker 2: help me understand what the investment strategy would be going forward? 141 00:06:58,240 --> 00:06:58,400 Speaker 1: Here? 142 00:06:58,400 --> 00:06:59,919 Speaker 2: How does everything translate? 143 00:07:00,520 --> 00:07:03,440 Speaker 3: So I think there's two possible outcomes. One is the 144 00:07:04,080 --> 00:07:07,040 Speaker 3: Goldilock scenario, which is that the US economy is intact 145 00:07:07,080 --> 00:07:09,600 Speaker 3: and the jail politics are not as bad as expected. 146 00:07:10,000 --> 00:07:12,200 Speaker 3: In that case, everything else catches up to the US 147 00:07:12,200 --> 00:07:15,480 Speaker 3: and a synchronized global recovery, and you actually have the 148 00:07:15,480 --> 00:07:17,680 Speaker 3: dollar weekend a little bit and everywhere else that's been 149 00:07:17,760 --> 00:07:19,480 Speaker 3: totally hammered catch up. 150 00:07:19,520 --> 00:07:20,880 Speaker 4: That's the best case scenario. 151 00:07:21,560 --> 00:07:24,840 Speaker 3: In the worst case scenario, you know, the administration gets 152 00:07:24,840 --> 00:07:27,920 Speaker 3: a little bit too hawk as drags it out tariffs, immigration, 153 00:07:28,080 --> 00:07:29,800 Speaker 3: they end up being negative for the US and. 154 00:07:29,760 --> 00:07:30,600 Speaker 4: Elsewhere as well. 155 00:07:30,760 --> 00:07:32,640 Speaker 3: The US starts to catch down with the rest of 156 00:07:32,680 --> 00:07:35,520 Speaker 3: the world, and everything actually on the risk assets front 157 00:07:35,560 --> 00:07:36,640 Speaker 3: actually starts to go down. 158 00:07:36,960 --> 00:07:38,760 Speaker 4: In the first scenario, what we. 159 00:07:38,720 --> 00:07:42,440 Speaker 3: Would look at would be like cyclicals and non US 160 00:07:42,480 --> 00:07:44,800 Speaker 3: markets for that catch up play, because they are basically 161 00:07:44,840 --> 00:07:46,800 Speaker 3: the ones that are lagging and the ones that would 162 00:07:46,800 --> 00:07:49,520 Speaker 3: benefit the most from that scenario. And the second scenario, 163 00:07:49,600 --> 00:07:52,440 Speaker 3: I think is really about holding cash and maybe treasuries 164 00:07:52,960 --> 00:07:56,440 Speaker 3: and defensives, you know, all the places where nobody has 165 00:07:57,080 --> 00:08:00,040 Speaker 3: any exposure. In the equity market, I wouldn't even be 166 00:08:00,120 --> 00:08:03,800 Speaker 3: going that much into like credit just because the credit 167 00:08:03,800 --> 00:08:06,640 Speaker 3: spread is so so so narrow at the moment. It 168 00:08:06,720 --> 00:08:09,280 Speaker 3: has to widen if there is any kind of recession 169 00:08:09,320 --> 00:08:11,880 Speaker 3: or soft landing fears, So that would be the way 170 00:08:11,880 --> 00:08:13,440 Speaker 3: that we would look at it. And you know hedging 171 00:08:13,480 --> 00:08:14,720 Speaker 3: as well, because vis is still low. 172 00:08:14,840 --> 00:08:17,200 Speaker 2: So what about things to avoid it all caused when 173 00:08:17,240 --> 00:08:18,880 Speaker 2: I was listening to you kind of sketch out the 174 00:08:18,960 --> 00:08:22,680 Speaker 2: China story, I'm thinking, well, avoid anything that has to 175 00:08:22,720 --> 00:08:23,920 Speaker 2: do with the Chinese consumer. 176 00:08:24,440 --> 00:08:27,160 Speaker 3: The Chinese consumer has definitely been weak. But that Chinese 177 00:08:27,200 --> 00:08:30,160 Speaker 3: consumer derating or sell off is actually behind us. Is 178 00:08:30,160 --> 00:08:32,480 Speaker 3: actually about six to nine months ago, so that was 179 00:08:32,520 --> 00:08:35,120 Speaker 3: the worst of it. Previously, expectation was always for twenty 180 00:08:35,160 --> 00:08:37,480 Speaker 3: percent plus growth, and the stocks were trading at like 181 00:08:37,520 --> 00:08:40,960 Speaker 3: twenty to thirty times PE and the positioning was very heavy. 182 00:08:41,000 --> 00:08:42,640 Speaker 3: I think all of that has already unwound in the 183 00:08:42,720 --> 00:08:46,040 Speaker 3: last six to twelve months. Obviously, whether it rebounds to 184 00:08:46,080 --> 00:08:48,000 Speaker 3: a significant extent remains to be seen. 185 00:08:48,520 --> 00:08:49,200 Speaker 4: The low end. 186 00:08:49,040 --> 00:08:52,080 Speaker 3: Consumer is probably the one that the government cares the 187 00:08:52,120 --> 00:08:56,720 Speaker 3: most about, and so certain consumer staples and other stuff 188 00:08:56,760 --> 00:08:59,400 Speaker 3: I think is the area that we would look at. 189 00:08:59,480 --> 00:09:01,000 Speaker 4: I think on the luxury and so on and so 190 00:09:01,040 --> 00:09:01,640 Speaker 4: forth front. 191 00:09:02,200 --> 00:09:04,440 Speaker 3: You know, most of the global luxury stocks have sold off, 192 00:09:04,480 --> 00:09:06,640 Speaker 3: but they're not like super. 193 00:09:06,360 --> 00:09:07,360 Speaker 4: Distressed per se. 194 00:09:07,400 --> 00:09:10,160 Speaker 3: And I don't think the Chinese consumer is necessarily going 195 00:09:10,200 --> 00:09:13,160 Speaker 3: to rebound aggressively on the luxury front, even if the 196 00:09:13,200 --> 00:09:14,679 Speaker 3: trade TARFF concerns go away. 197 00:09:14,800 --> 00:09:16,600 Speaker 2: We'll leave it there. Helen, thank you so much for 198 00:09:16,679 --> 00:09:20,000 Speaker 2: joining us. Helen ju is managing director also the CIO 199 00:09:20,160 --> 00:09:23,199 Speaker 2: at NF Trinity. Joining us from our studios in Hong Kong. 200 00:09:23,440 --> 00:09:32,760 Speaker 2: Here on the Daybreak Asia podcast. Welcome back to the 201 00:09:32,800 --> 00:09:37,439 Speaker 2: Bloomberg Daybreak Asia Podcast. I'm Doug Krisner. So bitcoins march 202 00:09:37,559 --> 00:09:41,280 Speaker 2: back above one hundred thousand didn't last very long today 203 00:09:41,360 --> 00:09:45,040 Speaker 2: During New York trading Bitcoin slid about five percent along 204 00:09:45,080 --> 00:09:48,559 Speaker 2: with a broader retreat in US risk assets. Let's take 205 00:09:48,559 --> 00:09:50,920 Speaker 2: a closer look now at the crypto space. We are 206 00:09:50,960 --> 00:09:53,920 Speaker 2: joined by Peter Chung. He is head of research at 207 00:09:53,960 --> 00:09:57,959 Speaker 2: Presto Research. Peter joining us from Hong Kong. It's always 208 00:09:57,960 --> 00:10:00,679 Speaker 2: a pleasure. Happy New Year. Can you help me understand 209 00:10:00,760 --> 00:10:03,520 Speaker 2: what was going on with the price action in bitcoin today? 210 00:10:03,840 --> 00:10:06,079 Speaker 1: By Happy New Year to you as well. I think 211 00:10:06,120 --> 00:10:10,720 Speaker 1: what happened last twenty four hours is just the typical 212 00:10:11,679 --> 00:10:17,040 Speaker 1: risk assic behavior of bitcoin reacting to some very strong 213 00:10:17,280 --> 00:10:19,680 Speaker 1: macro data that came out in the early hours of 214 00:10:19,720 --> 00:10:23,400 Speaker 1: the US equity market trading. So I think along with 215 00:10:23,520 --> 00:10:28,720 Speaker 1: the broader risk asset selloff, I think the bitcoin also 216 00:10:28,760 --> 00:10:33,400 Speaker 1: went through some correction. And yeah, I think that's what happened. 217 00:10:33,480 --> 00:10:37,199 Speaker 2: When you look at bitcoin, Peter, the risk asset that 218 00:10:37,320 --> 00:10:41,960 Speaker 2: is strongly or most strongly correlated with the cryptocurrency, would 219 00:10:42,000 --> 00:10:44,560 Speaker 2: it be equities, would it be what's going on in 220 00:10:44,600 --> 00:10:47,959 Speaker 2: the US dollar? How do you understand the signal that 221 00:10:48,040 --> 00:10:50,760 Speaker 2: the bitcoin market is getting from other risk markets. 222 00:10:51,360 --> 00:10:55,440 Speaker 1: Yeah, I think the segment of the traditional finance market 223 00:10:55,520 --> 00:10:59,920 Speaker 1: that has the highest correlation with the crypto and bitcoin 224 00:11:00,160 --> 00:11:06,079 Speaker 1: is the big text, especially the Magnificent sevens. I mean, 225 00:11:06,200 --> 00:11:10,040 Speaker 1: I think because bitcoin actually because it's an emerging asset 226 00:11:10,120 --> 00:11:15,120 Speaker 1: class that has an element of network effect. So one 227 00:11:15,480 --> 00:11:19,320 Speaker 1: looking at a bitcoin is viewed as sort of like 228 00:11:19,360 --> 00:11:23,280 Speaker 1: a Internet startup that has a lot to gain from 229 00:11:23,360 --> 00:11:28,360 Speaker 1: the adoption of the network by the public. And that's 230 00:11:28,400 --> 00:11:31,800 Speaker 1: exactly what bigcoin Networker has been going through in the 231 00:11:31,840 --> 00:11:33,520 Speaker 1: first fifteen years of its life. 232 00:11:33,559 --> 00:11:36,120 Speaker 2: It's interesting that you mentioned the Magnificent seven. I think 233 00:11:36,120 --> 00:11:38,760 Speaker 2: the Bloomberg gauge of the mag seven was down about 234 00:11:38,760 --> 00:11:41,439 Speaker 2: two and a half percent today, so clearly a lot 235 00:11:41,440 --> 00:11:43,880 Speaker 2: of selling pressure. Let's talk a little bit about your 236 00:11:43,880 --> 00:11:49,040 Speaker 2: expectations on bitcoin policy or crypto policy more broadly, with 237 00:11:49,280 --> 00:11:52,760 Speaker 2: the new Trump administration. What are your expectations in terms 238 00:11:52,800 --> 00:11:54,520 Speaker 2: of the regulatory environment. 239 00:11:55,320 --> 00:11:57,520 Speaker 1: Yeah, so I think, I mean, there are a few 240 00:11:57,520 --> 00:12:00,920 Speaker 1: things that will happen. But first and almost I think 241 00:12:01,520 --> 00:12:03,480 Speaker 1: with the Trump in the White House, there are things 242 00:12:03,480 --> 00:12:09,120 Speaker 1: that can happen relatively quickly through the presidential power. These 243 00:12:09,160 --> 00:12:14,559 Speaker 1: include things like repealing set on one, which is the 244 00:12:14,640 --> 00:12:20,600 Speaker 1: SEC guidelines that effectively prevents traditional Costilian banks from entering 245 00:12:20,720 --> 00:12:25,199 Speaker 1: into the digital asset custody space. Another thing that could happen, 246 00:12:25,720 --> 00:12:28,560 Speaker 1: I think is the end of the so called the 247 00:12:28,600 --> 00:12:33,320 Speaker 1: Operation chockpoint two point zero, which is a name given 248 00:12:33,400 --> 00:12:38,959 Speaker 1: to the anti cryptop policies undertaken by the Biden of 249 00:12:38,960 --> 00:12:42,160 Speaker 1: the administration. I think that you know that that can 250 00:12:42,200 --> 00:12:45,320 Speaker 1: be easily fixed by replacing some of the key UH 251 00:12:46,120 --> 00:12:50,160 Speaker 1: members of the federal regulatory agencies. And then the other 252 00:12:50,160 --> 00:12:53,079 Speaker 1: thing that could happen is on the legislation side in 253 00:12:53,120 --> 00:12:56,479 Speaker 1: the Congress, now that we have, you know, the Republican 254 00:12:56,840 --> 00:13:00,439 Speaker 1: majority Congress, and the many of the policy is that 255 00:13:00,840 --> 00:13:05,120 Speaker 1: I think the Trump advocated in terms of nurturing the 256 00:13:05,240 --> 00:13:10,160 Speaker 1: crypto industry requires a legislative process, and these things can 257 00:13:10,240 --> 00:13:12,560 Speaker 1: These can be undertaken as well, but this will be 258 00:13:12,600 --> 00:13:15,920 Speaker 1: a little bit more lengthier process given that it needs 259 00:13:16,000 --> 00:13:18,920 Speaker 1: to get buy ins from many lawmakers. 260 00:13:18,960 --> 00:13:22,120 Speaker 2: So, Peter, when I hear you describe a lot of 261 00:13:21,600 --> 00:13:24,360 Speaker 2: the changes that you're expecting here in the US, I'm 262 00:13:24,360 --> 00:13:27,319 Speaker 2: curious about how that may impact markets like Hong Kong 263 00:13:27,880 --> 00:13:30,800 Speaker 2: or Singapore where crypto is concerned. Do you have a 264 00:13:30,800 --> 00:13:31,240 Speaker 2: sense of that. 265 00:13:32,120 --> 00:13:36,880 Speaker 1: Yes, So, I think many jurisdictions in Asia look to 266 00:13:37,400 --> 00:13:40,679 Speaker 1: what's happening in the US in terms of crypto policies 267 00:13:40,679 --> 00:13:43,480 Speaker 1: and regulations, and I like to use that as a 268 00:13:43,840 --> 00:13:47,240 Speaker 1: benchmark given that there are you know, the many of 269 00:13:47,280 --> 00:13:51,120 Speaker 1: the opinion leaders on the on the crypto industry is 270 00:13:51,120 --> 00:13:56,240 Speaker 1: actually they reside in the US. So I think, you know, 271 00:13:56,320 --> 00:14:00,120 Speaker 1: policymakers in Hong Kong and Singapore, they both view the 272 00:14:00,160 --> 00:14:04,880 Speaker 1: blockchain as a technology that can enhance their competitive positioning 273 00:14:04,880 --> 00:14:08,880 Speaker 1: as financial hubs, and I think they are paying a 274 00:14:09,000 --> 00:14:12,280 Speaker 1: very close attention to what's going to happen, especially with 275 00:14:12,400 --> 00:14:15,040 Speaker 1: things like a stable coin, for instance, which is the 276 00:14:15,080 --> 00:14:19,760 Speaker 1: initiative that Hong Kong government in particular is quite interested in. 277 00:14:20,240 --> 00:14:22,920 Speaker 2: So I mentioned a moment ago that during New York trading, 278 00:14:23,080 --> 00:14:26,160 Speaker 2: Bitcoin broke back below one hundred thousand. Do you have 279 00:14:26,160 --> 00:14:29,560 Speaker 2: a price target this year for where bitcoin may end up? 280 00:14:30,160 --> 00:14:34,200 Speaker 1: We do. Actually, we published the twenty twenty five Crypto 281 00:14:34,200 --> 00:14:38,520 Speaker 1: Market Outlook Report in December where we talk about a 282 00:14:38,560 --> 00:14:41,720 Speaker 1: few things, but one of them is the price predictions 283 00:14:41,760 --> 00:14:46,440 Speaker 1: for major cryptocurrencies and bitcoin. We have a price target 284 00:14:46,440 --> 00:14:49,040 Speaker 1: of a two hundred and ten thousand. I know a 285 00:14:49,080 --> 00:14:52,920 Speaker 1: lot of people kind of get surprise to hear a 286 00:14:52,960 --> 00:14:56,840 Speaker 1: big number like that, but remember that the bitcoin has 287 00:14:56,840 --> 00:14:59,840 Speaker 1: done crazier things in the past two hundred ten thousand 288 00:14:59,840 --> 00:15:03,280 Speaker 1: dollar The target is about one hundred percent upside from 289 00:15:03,320 --> 00:15:06,880 Speaker 1: current point on, which is the modest increase compared to 290 00:15:06,920 --> 00:15:11,800 Speaker 1: the bull cycles of the last fifteen years. And we 291 00:15:11,840 --> 00:15:15,280 Speaker 1: actually have a quantitative kind of approach to this number. 292 00:15:15,400 --> 00:15:18,000 Speaker 1: So what we did was, you know, we just didn't 293 00:15:18,000 --> 00:15:20,160 Speaker 1: We didn't just pull the number out of the thing there. 294 00:15:20,200 --> 00:15:24,440 Speaker 1: We estimated what we call the realized value for next 295 00:15:24,520 --> 00:15:27,280 Speaker 1: year for bitcoin network, which is a metric that we 296 00:15:27,360 --> 00:15:31,440 Speaker 1: think captures the uh the adoption of bigcoin as an 297 00:15:31,480 --> 00:15:36,320 Speaker 1: asset class by the by the traditional finance and that 298 00:15:36,560 --> 00:15:39,880 Speaker 1: number has been steadily increasing about five percent every month 299 00:15:39,920 --> 00:15:43,360 Speaker 1: since the January of last year, which is when spot 300 00:15:43,400 --> 00:15:45,960 Speaker 1: big quin t TF was first introduced. So we think 301 00:15:46,680 --> 00:15:49,560 Speaker 1: the adoption of that asset class through vehicles like the 302 00:15:49,560 --> 00:15:52,520 Speaker 1: ETF will continue into next year. And as long as 303 00:15:52,520 --> 00:15:55,840 Speaker 1: that happens, I think the hour real the realized value 304 00:15:55,880 --> 00:15:59,360 Speaker 1: target is quite fairly realistic. And we apply three and 305 00:15:59,360 --> 00:16:03,520 Speaker 1: a half times multiple to our realized value estimate to 306 00:16:03,960 --> 00:16:07,240 Speaker 1: arrive at our fear value estimate for the bitcoin market cap. 307 00:16:07,560 --> 00:16:09,320 Speaker 2: So right now, as I'm speaking to you, I'm looking 308 00:16:09,360 --> 00:16:11,760 Speaker 2: at a price of just under ninety seven thousand, and 309 00:16:11,800 --> 00:16:15,040 Speaker 2: you are forecasting two hundred and ten thousand by the 310 00:16:15,120 --> 00:16:17,920 Speaker 2: end of twenty twenty five. Now, how does that map 311 00:16:18,040 --> 00:16:22,120 Speaker 2: with the overall market cap for bitcoin? I mean, what 312 00:16:22,200 --> 00:16:24,120 Speaker 2: do you believe the overall market will be at the 313 00:16:24,200 --> 00:16:24,760 Speaker 2: end of the year. 314 00:16:25,440 --> 00:16:28,760 Speaker 1: Yeah, so that's the number will be about four point 315 00:16:28,760 --> 00:16:32,480 Speaker 1: two trillion dollars for bitcoin. So our twenty ten thousand 316 00:16:32,520 --> 00:16:36,760 Speaker 1: dollars higher price is simply by dividing that number with 317 00:16:36,880 --> 00:16:40,000 Speaker 1: outsending bitcoin units. 318 00:16:40,200 --> 00:16:42,360 Speaker 2: So we've talked about a price target of two hundred 319 00:16:42,400 --> 00:16:44,760 Speaker 2: and ten thousand in the year ahead for bitcoin. I'm 320 00:16:44,800 --> 00:16:47,280 Speaker 2: curious Peter, as to whether or not you're making other 321 00:16:47,520 --> 00:16:49,240 Speaker 2: bold predictions for the year ahead. 322 00:16:49,720 --> 00:16:52,000 Speaker 1: Yeah. So another prediction that we make in that report 323 00:16:52,240 --> 00:16:56,440 Speaker 1: is that that we think at least one nation state 324 00:16:56,880 --> 00:17:02,000 Speaker 1: or one sent five and the company will embrace bitcoins 325 00:17:02,920 --> 00:17:07,160 Speaker 1: as a treasury asset. And on the nation state side, 326 00:17:07,560 --> 00:17:10,000 Speaker 1: it's actually a trend that's been happening for the last 327 00:17:10,240 --> 00:17:13,040 Speaker 1: at least four years. You know, we saw the first 328 00:17:13,160 --> 00:17:16,000 Speaker 1: of that from Elsa Vador when they announced the adoption 329 00:17:16,080 --> 00:17:19,200 Speaker 1: of a bitcoin as the legal tender. The announcement from 330 00:17:19,200 --> 00:17:22,160 Speaker 1: Elsavada was in twenty twenty one, and every year since 331 00:17:22,160 --> 00:17:25,080 Speaker 1: then at least one country has been announcing it. You 332 00:17:25,119 --> 00:17:28,680 Speaker 1: can find the list of those countries in the report. Obviously, 333 00:17:28,800 --> 00:17:31,760 Speaker 1: last year was you know, US announced the plan to 334 00:17:31,800 --> 00:17:35,199 Speaker 1: do so, although it still requires approval from you know, 335 00:17:35,240 --> 00:17:38,040 Speaker 1: from the Congress. You know. I think the mere fact 336 00:17:38,080 --> 00:17:42,760 Speaker 1: that the US is considering this option, I think it's 337 00:17:42,800 --> 00:17:45,639 Speaker 1: going to trigger a lot of discussions in other countries 338 00:17:46,320 --> 00:17:49,440 Speaker 1: based on the game theory dynamics. 339 00:17:49,800 --> 00:17:51,800 Speaker 2: Peter will leave it there. It's always a pleasure. Thanks 340 00:17:51,840 --> 00:17:54,240 Speaker 2: so much for joining us, Peter Chung, they're head of 341 00:17:54,320 --> 00:17:57,520 Speaker 2: research at Presto Research. Joining us here on the Daybreak 342 00:17:57,560 --> 00:18:03,720 Speaker 2: Asia Podcast. Thanks for listening to today's episode of the 343 00:18:03,720 --> 00:18:07,920 Speaker 2: Bloomberg Daybreak Asia Edition podcast. Each weekday, we look at 344 00:18:07,920 --> 00:18:12,400 Speaker 2: the story shaping markets, finance, and geopolitics in the Asia Pacific. 345 00:18:12,640 --> 00:18:15,920 Speaker 2: You can find us on Apple, Spotify, the Bloomberg Podcast 346 00:18:16,000 --> 00:18:19,359 Speaker 2: YouTube channel, or anywhere else you listen. Join us again 347 00:18:19,400 --> 00:18:22,679 Speaker 2: tomorrow for insight on the market moves from Hong Kong 348 00:18:22,800 --> 00:18:27,200 Speaker 2: to Singapore and Australia. I'm Doug Chrisner and this is 349 00:18:27,240 --> 00:18:27,800 Speaker 2: Bloomberg