1 00:00:02,520 --> 00:00:11,800 Speaker 1: Bloomberg Audio Studios, Podcasts, radio News. Welcome to the Bloomberg 2 00:00:11,840 --> 00:00:15,480 Speaker 1: Daybreak Asia podcast. I'm Doug Krisner. The equity market finished 3 00:00:15,480 --> 00:00:19,240 Speaker 1: at record highs today despite a pickup in underlying US inflation. 4 00:00:19,320 --> 00:00:22,400 Speaker 1: In the month of July, the Core consumer Price Index 5 00:00:22,520 --> 00:00:25,000 Speaker 1: was up month on month by three tenths of one percent. 6 00:00:25,520 --> 00:00:28,280 Speaker 1: Services prices rose more than the goods that may have 7 00:00:28,320 --> 00:00:31,200 Speaker 1: been impacted by those tariffs, and that news helped U 8 00:00:31,200 --> 00:00:34,199 Speaker 1: support the price of bitcoin. In a moment, we'll take 9 00:00:34,200 --> 00:00:36,279 Speaker 1: a look at the crypto space. I'll be joined by 10 00:00:36,320 --> 00:00:39,600 Speaker 1: Peter Chung, head of research at Presto, but we begin 11 00:00:39,760 --> 00:00:42,640 Speaker 1: here in the States. Joining me now is Charles Lieberman. 12 00:00:42,720 --> 00:00:47,120 Speaker 1: He is co founder also the CIO at Advisor's Capital Management. 13 00:00:47,600 --> 00:00:50,880 Speaker 1: Charles is on the line from just outside New York City. Chuck, 14 00:00:50,960 --> 00:00:52,800 Speaker 1: thank you so much for making time to chat with me. 15 00:00:52,880 --> 00:00:54,480 Speaker 1: What did you make of the CPI data. 16 00:00:55,280 --> 00:00:57,400 Speaker 2: Well, I thought it was a bit of a relief 17 00:00:57,400 --> 00:01:00,720 Speaker 2: for the market. Investors were kind of nervous that the 18 00:01:00,760 --> 00:01:04,759 Speaker 2: news would be worse, that some of the tariffs would 19 00:01:04,760 --> 00:01:09,880 Speaker 2: flow through very visibly into the CPI data. Fortunately, the 20 00:01:09,920 --> 00:01:13,720 Speaker 2: impact looks like it was relatively modest. I think it 21 00:01:13,800 --> 00:01:16,840 Speaker 2: is there if you look at the trend in the 22 00:01:16,880 --> 00:01:22,119 Speaker 2: good side of the economy, that's upward. But nonetheless the 23 00:01:22,160 --> 00:01:24,560 Speaker 2: core and the core number was a little bit high, 24 00:01:24,920 --> 00:01:27,240 Speaker 2: but the overall number was on the soft side. So 25 00:01:27,280 --> 00:01:30,280 Speaker 2: I think the market was relieved that the news was 26 00:01:30,319 --> 00:01:34,160 Speaker 2: not worse, and that's why the market rallied so strongly. 27 00:01:34,280 --> 00:01:35,880 Speaker 1: Do you have a sense of what it may do 28 00:01:35,959 --> 00:01:38,920 Speaker 1: to the thinking at the Fed, Well. 29 00:01:38,720 --> 00:01:41,360 Speaker 2: I think it frees them to go by twenty five 30 00:01:41,440 --> 00:01:46,720 Speaker 2: for sure, but it might even lead to fifty. It 31 00:01:46,800 --> 00:01:48,760 Speaker 2: depends on whether or not they want to throw an 32 00:01:48,760 --> 00:01:54,400 Speaker 2: olive branch to the president. They did misjudge the economy, 33 00:01:54,440 --> 00:01:57,880 Speaker 2: as we all did. The last employment report was just 34 00:01:58,040 --> 00:02:03,600 Speaker 2: absolutely a shocker. What we thought we knew about the economy, 35 00:02:03,640 --> 00:02:07,000 Speaker 2: that growth was continuing at a very solid pace, turns 36 00:02:07,040 --> 00:02:11,919 Speaker 2: out not to have been the correct evaluation. It looks 37 00:02:11,919 --> 00:02:16,120 Speaker 2: like we hit a soft patch for a number of months, 38 00:02:16,360 --> 00:02:20,760 Speaker 2: undoubtedly due to concerns about tariffs and the impact of tariffs, 39 00:02:21,120 --> 00:02:24,640 Speaker 2: and so firms were a little slow to hire. So 40 00:02:24,800 --> 00:02:28,720 Speaker 2: economic growth was a lot weaker than expected, and that 41 00:02:29,440 --> 00:02:33,600 Speaker 2: justifies a rate reduction, and of course they didn't do 42 00:02:33,720 --> 00:02:36,760 Speaker 2: that in advance. They only found out about this after 43 00:02:36,800 --> 00:02:39,880 Speaker 2: the revisions, and so to make up for it, they 44 00:02:40,000 --> 00:02:43,200 Speaker 2: might feel that fifty basis points is appropriate. A lot 45 00:02:43,240 --> 00:02:44,919 Speaker 2: will depend on upcoming data. 46 00:02:45,000 --> 00:02:47,280 Speaker 1: So if we can agree that for the moment, the 47 00:02:47,320 --> 00:02:50,760 Speaker 1: tariffs are not being passed on to consumers, are we 48 00:02:50,840 --> 00:02:54,399 Speaker 1: to understand then that profit margins are under pressure quite 49 00:02:54,440 --> 00:02:54,680 Speaker 1: a bit? 50 00:02:56,080 --> 00:02:59,400 Speaker 2: Not clear. We do have data for the second quarter 51 00:02:59,560 --> 00:03:04,280 Speaker 2: and those profit margins were fine. Corporate profits did very 52 00:03:04,400 --> 00:03:08,400 Speaker 2: very well, So I would say that's certainly not the 53 00:03:08,440 --> 00:03:12,360 Speaker 2: case for the data that we have. Looking forward. It 54 00:03:12,440 --> 00:03:16,600 Speaker 2: may be that some of the tariffs are being absorbed 55 00:03:16,639 --> 00:03:21,680 Speaker 2: by the producers the manufacturers overseas that won't hurt us 56 00:03:21,760 --> 00:03:26,760 Speaker 2: profit margins. But it may also be that the third 57 00:03:26,840 --> 00:03:29,360 Speaker 2: quarter will be a little weaker than we expect because 58 00:03:29,400 --> 00:03:31,359 Speaker 2: the profit margins might be squeezed a bit. 59 00:03:31,919 --> 00:03:35,360 Speaker 1: We also had word that tariff revenue reached a fresh 60 00:03:35,480 --> 00:03:37,800 Speaker 1: monthly record for the month of July. I think somewhere 61 00:03:37,800 --> 00:03:40,240 Speaker 1: in the magnitude of about twenty eight billion dollars. Do 62 00:03:40,280 --> 00:03:43,600 Speaker 1: you think this is sustainable the rate of revenue that 63 00:03:43,640 --> 00:03:46,520 Speaker 1: the government is going to kind of collect as a 64 00:03:46,560 --> 00:03:48,560 Speaker 1: result of these tariffs, or are we going to deal 65 00:03:48,600 --> 00:03:51,680 Speaker 1: with maybe something that tapers off a little bit as 66 00:03:51,680 --> 00:03:55,520 Speaker 1: we kind of get adjusted to this new paradigm. 67 00:03:56,240 --> 00:04:00,480 Speaker 2: Well, well, certainly be some adjustment, because certainly import will 68 00:04:00,600 --> 00:04:04,040 Speaker 2: choose to import from wherever they can get goods at 69 00:04:04,080 --> 00:04:11,440 Speaker 2: the lowest cost, and so it's impossible to adjust the 70 00:04:11,480 --> 00:04:14,920 Speaker 2: supply chains that quickly, and so initially they may be 71 00:04:15,000 --> 00:04:18,720 Speaker 2: getting from the original the original source, in which case 72 00:04:18,839 --> 00:04:23,080 Speaker 2: the tariff levels are running hot. But as they adjust 73 00:04:23,279 --> 00:04:25,800 Speaker 2: and as deals are cut by the way between the 74 00:04:25,960 --> 00:04:30,200 Speaker 2: US and other countries, some of those tariffs may come down. 75 00:04:30,640 --> 00:04:33,080 Speaker 2: So for both of those reasons, it wouldn't surprise me 76 00:04:33,200 --> 00:04:37,080 Speaker 2: if the flow rate, the run rate for a tariff 77 00:04:37,120 --> 00:04:38,280 Speaker 2: revenue comes down a bit. 78 00:04:38,640 --> 00:04:41,440 Speaker 1: Are you already seeing evidence that tariffs are having an 79 00:04:41,480 --> 00:04:44,760 Speaker 1: impact on trade flows? Kind of a rerooting of how 80 00:04:44,800 --> 00:04:46,799 Speaker 1: goods are beginning to flow into the US? 81 00:04:48,160 --> 00:04:52,000 Speaker 2: Absolutely. In fact, the most glaring example is there was 82 00:04:52,000 --> 00:04:57,000 Speaker 2: a sharp decline in Chinese exports to the US, but 83 00:04:57,120 --> 00:05:01,640 Speaker 2: a significant increase in exports from other of Asia. So 84 00:05:01,680 --> 00:05:05,400 Speaker 2: it sure looks like a lot of Chinese goods are 85 00:05:05,400 --> 00:05:09,599 Speaker 2: being transshipped through other countries. And that of course is 86 00:05:09,680 --> 00:05:13,680 Speaker 2: also subject to change because the administration knows about it, 87 00:05:13,680 --> 00:05:17,880 Speaker 2: they've talked about it, and they may impose tariffs on 88 00:05:17,920 --> 00:05:19,160 Speaker 2: some of those transhipments. 89 00:05:19,320 --> 00:05:22,799 Speaker 1: And now part of the tariff strategy is to engender 90 00:05:22,839 --> 00:05:26,440 Speaker 1: maybe a little bit more reshoring of American manufacturing. Do 91 00:05:26,440 --> 00:05:28,840 Speaker 1: you think that's really picking up some traction right now 92 00:05:28,920 --> 00:05:30,640 Speaker 1: or is that something that we're going to have to 93 00:05:30,720 --> 00:05:32,680 Speaker 1: wait for more evidence of. 94 00:05:33,760 --> 00:05:38,279 Speaker 2: Oh, I think that'll take years. He just can't turn 95 00:05:38,360 --> 00:05:41,919 Speaker 2: on domestic manufacturing easily, certainly not if you have to 96 00:05:41,920 --> 00:05:46,279 Speaker 2: build new plants. Some increase in production is possible from 97 00:05:46,320 --> 00:05:51,520 Speaker 2: existing facilities. If consumers, for example, are deterred from buying 98 00:05:52,240 --> 00:05:59,520 Speaker 2: a Mercedes or a Jaguar or a Toyota that's manufactured overseas, 99 00:05:59,600 --> 00:06:03,680 Speaker 2: they can always increased domestic production a bit to satisfy 100 00:06:03,720 --> 00:06:07,520 Speaker 2: that shifting demand. But there are limits in their capacity constraints, 101 00:06:07,920 --> 00:06:13,000 Speaker 2: and so I think the true shifting the ultimate source 102 00:06:13,040 --> 00:06:15,839 Speaker 2: of all of these products will definitely take time. 103 00:06:16,160 --> 00:06:19,880 Speaker 1: After the Bell we had news from the cloud services 104 00:06:19,880 --> 00:06:23,920 Speaker 1: provider core Weave. Losses were steeper than expected. This company 105 00:06:23,960 --> 00:06:27,320 Speaker 1: is continuing to build out to meet demand from AI developers, 106 00:06:27,520 --> 00:06:30,200 Speaker 1: and one of the takeaways here is that core Weave, 107 00:06:30,600 --> 00:06:33,520 Speaker 1: even though revenue did triple to around one point two billion. 108 00:06:34,000 --> 00:06:37,400 Speaker 1: Capital investment was two and a half billion, so obviously 109 00:06:37,480 --> 00:06:40,360 Speaker 1: the company seems to be responding to very strong demand 110 00:06:40,400 --> 00:06:43,840 Speaker 1: for data center capacity. How are you feeling about the 111 00:06:43,920 --> 00:06:45,320 Speaker 1: AI trade right now? 112 00:06:46,160 --> 00:06:48,400 Speaker 2: Well, there are parts of it that we feel reasonably 113 00:06:48,440 --> 00:06:53,520 Speaker 2: comfortable with. For example, we're looking at utilities that will 114 00:06:53,560 --> 00:06:57,919 Speaker 2: supply energy to these data centers. I've got some investments 115 00:06:57,960 --> 00:07:03,200 Speaker 2: to take advantage of that. The actual construction of these 116 00:07:03,200 --> 00:07:06,719 Speaker 2: facilities will take some time, and the market, of course 117 00:07:06,760 --> 00:07:10,000 Speaker 2: has anticipated a lot of this. So there are lots 118 00:07:10,000 --> 00:07:13,400 Speaker 2: of parts of the market that reflect very very strong 119 00:07:13,480 --> 00:07:17,400 Speaker 2: growth in AI and all of the suppliers and the 120 00:07:17,480 --> 00:07:20,760 Speaker 2: key components of it. So the market's priced for a 121 00:07:20,800 --> 00:07:24,520 Speaker 2: lot of growth. The real question is how much growth 122 00:07:24,640 --> 00:07:28,920 Speaker 2: will take place relative to expectations. If it turns out 123 00:07:28,960 --> 00:07:32,000 Speaker 2: to be stronger than expected, these stocks could turn out 124 00:07:32,000 --> 00:07:35,520 Speaker 2: to be cheap, and of course if it isn't, if 125 00:07:35,720 --> 00:07:40,440 Speaker 2: the actual increase in output is less than expected, where 126 00:07:40,440 --> 00:07:43,600 Speaker 2: the profitability is less than these stocks are very expensive. 127 00:07:44,000 --> 00:07:47,360 Speaker 2: It's what makes the investing in AI and some of 128 00:07:47,400 --> 00:07:49,440 Speaker 2: the chip sectors really difficult. 129 00:07:49,560 --> 00:07:51,720 Speaker 1: So we had records today for both the s and 130 00:07:51,760 --> 00:07:54,720 Speaker 1: P five hundred, the Nasdaq one hundred, and even the 131 00:07:54,800 --> 00:07:58,680 Speaker 1: Nasdaq Composite. Right now, I'm looking at the valuation on 132 00:07:58,960 --> 00:08:03,040 Speaker 1: the composite and exit around thirty five times earnings. Historically, 133 00:08:03,120 --> 00:08:05,400 Speaker 1: I think we can agree, Chuck, it seems to be 134 00:08:05,480 --> 00:08:07,720 Speaker 1: pretty expensive. Are you alarmed by that? 135 00:08:08,680 --> 00:08:12,520 Speaker 2: I wouldn't say alarmed, but I definitely see it as expensive. 136 00:08:12,720 --> 00:08:14,840 Speaker 2: And that's why I made some of the comments that 137 00:08:14,880 --> 00:08:18,640 Speaker 2: I made earlier. It really depends on how large the 138 00:08:18,720 --> 00:08:24,320 Speaker 2: sector becomes and how profitable it can become. I find 139 00:08:24,440 --> 00:08:30,360 Speaker 2: the valuations to be quite expensive, very optimistic, and so 140 00:08:30,600 --> 00:08:35,240 Speaker 2: I'm personally not comfortable with investing in some of these companies. 141 00:08:36,720 --> 00:08:40,000 Speaker 2: And I don't feel like I have to, because if 142 00:08:40,040 --> 00:08:44,200 Speaker 2: you exclude the top ten pe multiple stocks in the 143 00:08:44,320 --> 00:08:49,800 Speaker 2: s and P five hundred, and you go to the unloved, dislike, heated, ignored, 144 00:08:50,080 --> 00:08:53,840 Speaker 2: you choose your adjective for ninety the SMP four ninety. 145 00:08:54,240 --> 00:08:56,720 Speaker 2: There are lots and lots of great values in that 146 00:08:56,800 --> 00:09:00,240 Speaker 2: part of the market, and those companies are doing perfectly well. 147 00:09:00,400 --> 00:09:04,120 Speaker 2: They'll continue to grow, they will prosper, and then a 148 00:09:04,120 --> 00:09:07,720 Speaker 2: healthy economy in which AI does well and technology does well, 149 00:09:08,080 --> 00:09:10,319 Speaker 2: the whole rest of the economy will come along, so 150 00:09:10,840 --> 00:09:13,400 Speaker 2: I feel there are safer ways to invest right now. 151 00:09:13,880 --> 00:09:16,600 Speaker 1: Chuck, you have been in the markets for quite some time, 152 00:09:16,640 --> 00:09:19,200 Speaker 1: and I'm wondering whether or not you're a bit concerned 153 00:09:19,840 --> 00:09:22,360 Speaker 1: by the degree to which the White House is becoming 154 00:09:22,440 --> 00:09:26,079 Speaker 1: more involved with things like the FED and FED policy 155 00:09:26,160 --> 00:09:29,560 Speaker 1: trying to influence that outcome, even what's been going on 156 00:09:29,679 --> 00:09:32,440 Speaker 1: with the Bureau of Labor Statistics. Does that concern you 157 00:09:32,480 --> 00:09:32,760 Speaker 1: at all? 158 00:09:33,600 --> 00:09:38,760 Speaker 2: Absolutely, it's quite inappropriate. I don't like seeing it. It's 159 00:09:39,080 --> 00:09:44,000 Speaker 2: not consistent with my view of how the FED operates. 160 00:09:44,360 --> 00:09:48,000 Speaker 2: I worked at the FED twice in my career. These 161 00:09:48,080 --> 00:09:55,840 Speaker 2: are professionals. They're not going to intentionally make concessions to 162 00:09:55,880 --> 00:09:59,880 Speaker 2: the President or for politicians in general, there may be 163 00:10:00,000 --> 00:10:03,240 Speaker 2: one or two individuals who might be influenced. That's always possible. 164 00:10:03,679 --> 00:10:08,440 Speaker 2: But even for example, with the President appointing the chairman 165 00:10:08,480 --> 00:10:11,400 Speaker 2: of the Council of Economic Advisors to a reserve board, 166 00:10:12,240 --> 00:10:17,120 Speaker 2: and he's clearly on board with what the President wants, Nonetheless, 167 00:10:17,160 --> 00:10:19,880 Speaker 2: he's simply one vote, and there are a lot of 168 00:10:20,600 --> 00:10:23,320 Speaker 2: people on the board who are first and foremost going 169 00:10:23,400 --> 00:10:25,680 Speaker 2: to be concerned about the legacy that they leave in 170 00:10:25,760 --> 00:10:28,800 Speaker 2: terms of how they ran monetary policy, and they're not 171 00:10:29,040 --> 00:10:33,040 Speaker 2: likely to sacrifice themselves for political considerations. 172 00:10:33,520 --> 00:10:35,360 Speaker 1: Chuck w believe it. They're always a pleasure. Thank you 173 00:10:35,360 --> 00:10:38,160 Speaker 1: so very much. He is Charles Lieberman, co founder, also 174 00:10:38,280 --> 00:10:42,800 Speaker 1: the CIO at Advisors Capital Management, joining from just outside 175 00:10:42,840 --> 00:10:45,319 Speaker 1: if here in New York City on the Daybreak Asia podcast. 176 00:10:52,720 --> 00:10:55,760 Speaker 1: Welcome back to the Daybreak Asia Podcast. I'm Doug Chrisner. 177 00:10:56,360 --> 00:10:59,800 Speaker 1: Last week, President Trump signed an executive order to clear 178 00:10:59,800 --> 00:11:02,760 Speaker 1: the way for digital assets to be added to the 179 00:11:02,800 --> 00:11:07,360 Speaker 1: mix of investments available in workplace retirement plans. Now, this, 180 00:11:07,559 --> 00:11:10,840 Speaker 1: needless to say, is an historic shift, and it's being 181 00:11:10,920 --> 00:11:16,400 Speaker 1: viewed as a major victory for several industries, including cryptocurrencies, 182 00:11:16,880 --> 00:11:20,199 Speaker 1: those companies looking to tap some of the roughly twelve 183 00:11:20,280 --> 00:11:24,200 Speaker 1: and a half trillion dollars held in retirement accounts. For 184 00:11:24,240 --> 00:11:26,960 Speaker 1: a closer look. Now, I'm joined by Peter Chung. He 185 00:11:27,040 --> 00:11:29,880 Speaker 1: is head of research at the quant trading firm Presto. 186 00:11:30,320 --> 00:11:32,760 Speaker 1: Peter's on the line from Hong Kong. It's always a 187 00:11:32,800 --> 00:11:34,680 Speaker 1: pleasure to have a chance to chat with you, Peter. 188 00:11:34,840 --> 00:11:37,079 Speaker 1: Thank you so much for making time. I want to 189 00:11:37,120 --> 00:11:39,080 Speaker 1: point out right out of the gate, here that this 190 00:11:39,280 --> 00:11:43,480 Speaker 1: executive order also eases access to private equity and real 191 00:11:43,559 --> 00:11:47,000 Speaker 1: estate and some other alternative assets as well for those 192 00:11:47,000 --> 00:11:49,839 Speaker 1: four oh one k plans. Give me your take on 193 00:11:49,840 --> 00:11:52,320 Speaker 1: this and what you think it represents for the industry. 194 00:11:52,360 --> 00:11:54,240 Speaker 1: Obviously a huge boon, right. 195 00:11:54,880 --> 00:11:58,840 Speaker 3: That's correct. Yes, So, I mean what this is going 196 00:11:58,960 --> 00:12:02,319 Speaker 3: to do is it's going to allow these retirement savings 197 00:12:02,320 --> 00:12:06,160 Speaker 3: to maximize a risk of just the return. You know, 198 00:12:06,240 --> 00:12:08,880 Speaker 3: the portfolio theory one on one tells you that a 199 00:12:08,960 --> 00:12:13,240 Speaker 3: way to raise expected return of your portfolio without raising 200 00:12:13,400 --> 00:12:17,440 Speaker 3: risk is by adding an uncorelated asset to your portfolio, 201 00:12:17,520 --> 00:12:20,800 Speaker 3: and crypto is one of those assets. So it's a 202 00:12:20,840 --> 00:12:23,640 Speaker 3: big win for the retirement savers, but also big win 203 00:12:23,720 --> 00:12:25,240 Speaker 3: for the crypto industry as well. 204 00:12:25,679 --> 00:12:28,199 Speaker 1: There's also the Genius Act to talk about, and one 205 00:12:28,200 --> 00:12:30,800 Speaker 1: of the things the Act will offer is more of 206 00:12:30,840 --> 00:12:33,960 Speaker 1: a boost for the stable coin industry. And I'm wondering 207 00:12:34,000 --> 00:12:38,120 Speaker 1: whether you believe that this necessarily creates some competition for 208 00:12:38,160 --> 00:12:41,280 Speaker 1: the crypto space when you're looking at a digital asset 209 00:12:41,400 --> 00:12:42,000 Speaker 1: like bitcoin. 210 00:12:43,040 --> 00:12:46,599 Speaker 3: Actually, I think it's very complementary to an asset like 211 00:12:46,640 --> 00:12:51,080 Speaker 3: a bitcoin, because what it allows is that if the 212 00:12:51,080 --> 00:12:56,320 Speaker 3: stable coin becomes the mainstream instrument, it becomes a lot 213 00:12:56,360 --> 00:12:59,960 Speaker 3: easier for you know, the users of a stable core 214 00:13:00,040 --> 00:13:04,199 Speaker 3: coins to uh to you know, trade it for bitcoin 215 00:13:04,280 --> 00:13:07,760 Speaker 3: because uh, you know, I think up until now, if 216 00:13:07,760 --> 00:13:11,760 Speaker 3: you wanted to buy bitcoin, you know, do you have 217 00:13:11,800 --> 00:13:16,160 Speaker 3: to transfer your funds from a legacy banking fiat based system, 218 00:13:16,760 --> 00:13:21,040 Speaker 3: uh into the own chain assets like a bitcoin through 219 00:13:21,240 --> 00:13:26,600 Speaker 3: a centralized exchanges like you know, coin base, or also 220 00:13:26,640 --> 00:13:29,760 Speaker 3: with the help of the legacy bank banks as well. Now, 221 00:13:29,760 --> 00:13:33,559 Speaker 3: once you get your assets on a stable coin, uh 222 00:13:33,720 --> 00:13:37,000 Speaker 3: you know, it's because both stable coin and bitcoin are 223 00:13:37,800 --> 00:13:40,040 Speaker 3: in the assets that operate on the blockchain. 224 00:13:40,520 --> 00:13:40,920 Speaker 2: Uh. 225 00:13:41,120 --> 00:13:43,760 Speaker 3: You know, basically what it means is those two you're 226 00:13:43,760 --> 00:13:45,839 Speaker 3: you're dealing with the two assets that operates at the 227 00:13:45,880 --> 00:13:49,640 Speaker 3: same wave length. So uh, you know, treating in and 228 00:13:49,679 --> 00:13:52,840 Speaker 3: out of bitcoin is going to be far easier uh 229 00:13:52,920 --> 00:13:56,040 Speaker 3: you know activities then than if it is done without 230 00:13:56,040 --> 00:13:57,520 Speaker 3: the help from the stable coin. 231 00:13:57,679 --> 00:14:00,680 Speaker 1: You don't believe that the perception, given the fact that 232 00:14:00,720 --> 00:14:05,480 Speaker 1: stable coins are backed by US Treasury's T bills primarily, 233 00:14:05,600 --> 00:14:07,800 Speaker 1: you don't think that that's going to creat in and 234 00:14:07,840 --> 00:14:11,080 Speaker 1: of itself, a greater degree of confidence. And as a 235 00:14:11,080 --> 00:14:14,640 Speaker 1: result of that, maybe take a little bit of business 236 00:14:14,640 --> 00:14:17,960 Speaker 1: away from the bitcoin type market, the cryptocurrency market. 237 00:14:19,000 --> 00:14:21,000 Speaker 3: No, No, I don't think that, because I mean stable coin. 238 00:14:21,440 --> 00:14:21,600 Speaker 2: Yeah. 239 00:14:21,640 --> 00:14:26,440 Speaker 3: Stable cooin is basically it's a tokenized version of US dollars. 240 00:14:27,360 --> 00:14:32,560 Speaker 3: So if you're somebody looking to protect yourself from inflation 241 00:14:33,120 --> 00:14:36,480 Speaker 3: or debit currency debasement risk, you're not going to do 242 00:14:36,560 --> 00:14:41,040 Speaker 3: that by just simply staying with US dollar pet stable coin. 243 00:14:41,120 --> 00:14:44,480 Speaker 3: You want to move your assets away from US dollars 244 00:14:44,920 --> 00:14:50,840 Speaker 3: into an asset whose supply is constant fixed and is 245 00:14:50,880 --> 00:14:55,160 Speaker 3: not affected by arbitrary monetary policy of the central banks. 246 00:14:55,360 --> 00:14:59,160 Speaker 3: And so therefore, yeah, I mean, if you're somebody who's 247 00:14:59,200 --> 00:15:03,880 Speaker 3: concerned about maintaining your purchasing power and you know, protecting 248 00:15:03,920 --> 00:15:10,240 Speaker 3: your family from you know, the currency long term devaluation, yeah, 249 00:15:10,240 --> 00:15:13,240 Speaker 3: you've got to move into an asset like a bitcoin. 250 00:15:13,960 --> 00:15:17,280 Speaker 1: What about market volatility, That's something that really we haven't 251 00:15:17,280 --> 00:15:20,480 Speaker 1: seen much of lately. Is there a reason for that? 252 00:15:20,720 --> 00:15:24,360 Speaker 1: And do you believe the risk of market volatility has 253 00:15:24,440 --> 00:15:27,960 Speaker 1: been removed somewhat from the bitcoin market. 254 00:15:28,920 --> 00:15:32,920 Speaker 3: You're actually right if you look at over the long run, 255 00:15:33,640 --> 00:15:36,680 Speaker 3: the volatility of a big coin has come down compared 256 00:15:36,720 --> 00:15:40,320 Speaker 3: to let's say, you know, ten fifteen years ago, and 257 00:15:40,800 --> 00:15:43,720 Speaker 3: I mean there could be many reasons behind it. Obviously 258 00:15:43,760 --> 00:15:48,320 Speaker 3: it's a lot more mature asset now. Also with the 259 00:15:48,360 --> 00:15:56,160 Speaker 3: participation of institutional investors, it's less vulnerable to the rumors 260 00:15:56,280 --> 00:16:02,280 Speaker 3: or retail hyps. So all of things I think helped dampen, uh, 261 00:16:02,560 --> 00:16:06,560 Speaker 3: the volatility of of a bitcoin, and I think it's 262 00:16:06,560 --> 00:16:11,760 Speaker 3: a good thing. You know, I think for the broader public. Uh, 263 00:16:12,000 --> 00:16:15,120 Speaker 3: these ups and downs the bigcoin has been of a 264 00:16:15,240 --> 00:16:18,640 Speaker 3: ton off for for getting, you know, getting involved with 265 00:16:18,680 --> 00:16:21,160 Speaker 3: this asse class. But uh yeah, now now that the 266 00:16:21,520 --> 00:16:24,760 Speaker 3: volatility bicoining is, I think it's a similar to uh 267 00:16:25,280 --> 00:16:29,920 Speaker 3: uh the goal the similar to the oil crude oil 268 00:16:30,000 --> 00:16:33,600 Speaker 3: volatility now, so uh it's a lot more manageable and 269 00:16:33,680 --> 00:16:36,280 Speaker 3: I think that's going to attrap more people into into 270 00:16:36,320 --> 00:16:37,200 Speaker 3: this assea class. 271 00:16:37,240 --> 00:16:39,160 Speaker 1: Peter will leave it there. Thank you so very much 272 00:16:39,160 --> 00:16:41,520 Speaker 1: for being with us. Peter Chung is head of research 273 00:16:41,680 --> 00:16:45,160 Speaker 1: at the quant trading firm Presto, joining from Hong Kong 274 00:16:45,240 --> 00:16:50,400 Speaker 1: here on the Daybreak Asia podcast. Thanks for listening to 275 00:16:50,400 --> 00:16:55,360 Speaker 1: today's episode of the Bloomberg Daybreak Asia Edition podcast. Each weekday, 276 00:16:55,400 --> 00:16:59,320 Speaker 1: we look at the story shaping markets, finance and geopolitics 277 00:16:59,320 --> 00:17:02,600 Speaker 1: in the Asia, Pas pacif. You can find us on Apple, Spotify, 278 00:17:02,760 --> 00:17:06,240 Speaker 1: the Bloomberg Podcast YouTube channel, or anywhere else you listen. 279 00:17:06,680 --> 00:17:09,560 Speaker 1: Join us again tomorrow for insight on the market moves 280 00:17:09,640 --> 00:17:14,160 Speaker 1: from Hong Kong to Singapore and Australia. I'm Doug Prisoner 281 00:17:14,320 --> 00:17:15,720 Speaker 1: and this is Bloomberg