1 00:00:00,040 --> 00:00:11,879 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Welcome to the Daybreak 2 00:00:11,920 --> 00:00:16,200 Speaker 1: Asia podcast. I'm dek Krisner. Equity markets across the Apac 3 00:00:16,400 --> 00:00:19,680 Speaker 1: are mixed after an upbeat session in the States. We 4 00:00:19,760 --> 00:00:23,360 Speaker 1: had US energy and defense shares trading higher after the 5 00:00:23,400 --> 00:00:27,960 Speaker 1: ouster of Venezuelan President Nicholas Maduro. Now Chevron is the 6 00:00:28,000 --> 00:00:31,800 Speaker 1: only super major oil company still operating in Venezuela. Today, 7 00:00:31,840 --> 00:00:34,640 Speaker 1: AT shares were up five percent, which helped to lead 8 00:00:34,680 --> 00:00:37,800 Speaker 1: the Dow to a fresh record high. Later in the day, 9 00:00:37,800 --> 00:00:41,800 Speaker 1: President Trump suggested the US may subsidize efforts by energy 10 00:00:41,840 --> 00:00:46,440 Speaker 1: companies to rebuild Venezuela's oil industry. We got some perspective 11 00:00:46,479 --> 00:00:50,120 Speaker 1: from Bloomberg Stephen Stepchinski. He spoke with Bloomberg TV host 12 00:00:50,360 --> 00:00:52,400 Speaker 1: Paul Allen and Avril hom. 13 00:00:52,640 --> 00:00:54,920 Speaker 2: We're definitely in a wait and see situation. There are 14 00:00:54,920 --> 00:00:58,240 Speaker 2: two ways you could play what's been happening in Venezuela. 15 00:00:58,360 --> 00:01:01,720 Speaker 2: One is its bullish for prices because it injects geopolitical risk. 16 00:01:01,960 --> 00:01:04,560 Speaker 2: It could reduce production in the country, or it could 17 00:01:04,600 --> 00:01:07,240 Speaker 2: also add some risk to maybe the US hitting other 18 00:01:07,319 --> 00:01:10,480 Speaker 2: countries that are oil producers. There's been a lot of 19 00:01:11,440 --> 00:01:15,440 Speaker 2: chatter on Twitter and other social media about what's happening 20 00:01:15,440 --> 00:01:17,920 Speaker 2: in Iran with something in other countries. So that could 21 00:01:17,920 --> 00:01:20,560 Speaker 2: be something that the market looks at they're kind of 22 00:01:20,560 --> 00:01:23,280 Speaker 2: hedging that risk there. The other way you look at 23 00:01:23,319 --> 00:01:25,440 Speaker 2: it is this clears the way for the US to 24 00:01:25,480 --> 00:01:30,440 Speaker 2: remove their sanctions and their blockade essentially on the shadow 25 00:01:30,480 --> 00:01:34,160 Speaker 2: flea ships and on the exports of sanctioned crued out 26 00:01:34,160 --> 00:01:34,760 Speaker 2: of Venezuela. 27 00:01:34,800 --> 00:01:36,440 Speaker 3: That would add more supply to the market. 28 00:01:36,600 --> 00:01:37,960 Speaker 2: But then when you take a zoom out and you 29 00:01:38,000 --> 00:01:40,920 Speaker 2: look at this in a really macro view, Venezuela is 30 00:01:41,040 --> 00:01:43,759 Speaker 2: really not that big in the grand scheme of things. 31 00:01:43,840 --> 00:01:47,440 Speaker 2: They produce less than one percent of global oil supply, 32 00:01:48,360 --> 00:01:48,960 Speaker 2: while they do. 33 00:01:48,920 --> 00:01:50,200 Speaker 3: Have vast reserves. 34 00:01:51,280 --> 00:01:54,480 Speaker 2: It isn't clear whether or not Trump will be able 35 00:01:54,520 --> 00:01:58,440 Speaker 2: to convince the Chevrons, the Exxons, those folks into investing 36 00:01:58,440 --> 00:02:00,560 Speaker 2: in the country the tens of billions of dollars that's 37 00:02:00,560 --> 00:02:02,560 Speaker 2: required to really pump up that production. 38 00:02:04,080 --> 00:02:06,080 Speaker 3: Yeah, Steven, tell us a little bit more about that. 39 00:02:06,200 --> 00:02:09,080 Speaker 4: What sort of investment would be required, what sort of 40 00:02:09,120 --> 00:02:11,920 Speaker 4: time frame would it happen over, and critically, I guess 41 00:02:11,919 --> 00:02:14,160 Speaker 4: what sort of security guarantees would they need to be. 42 00:02:16,280 --> 00:02:16,560 Speaker 3: Well. 43 00:02:16,600 --> 00:02:19,040 Speaker 2: So when you speak to the analysts that you get 44 00:02:19,040 --> 00:02:21,119 Speaker 2: all sorts of numbers, but I think the general view 45 00:02:21,200 --> 00:02:23,359 Speaker 2: is that it's going to take about ten billion. 46 00:02:23,160 --> 00:02:25,040 Speaker 3: Dollars per year over. 47 00:02:24,840 --> 00:02:27,400 Speaker 2: The next decade to get Venezuela back to. 48 00:02:27,360 --> 00:02:28,800 Speaker 3: Where it was producing in the past. 49 00:02:28,840 --> 00:02:31,440 Speaker 2: Now, to give you some context, Venezuela produces about eight 50 00:02:31,520 --> 00:02:32,360 Speaker 2: hundred thousand. 51 00:02:32,120 --> 00:02:34,000 Speaker 3: Barrels per day of oil. 52 00:02:34,360 --> 00:02:37,920 Speaker 2: Now, when you look at the early two thousands, it 53 00:02:38,000 --> 00:02:40,639 Speaker 2: was closer to three million barrels per day, and when 54 00:02:40,639 --> 00:02:42,480 Speaker 2: you look at the seventies, it was four million barrels 55 00:02:42,480 --> 00:02:45,760 Speaker 2: per day. So when Trump is talking about increasing reviving 56 00:02:45,800 --> 00:02:48,440 Speaker 2: this oil production, he's looking more at three million barrels. 57 00:02:48,480 --> 00:02:51,640 Speaker 2: That's more than tripling of production where we are right now. 58 00:02:51,760 --> 00:02:54,120 Speaker 2: The reason why production has come down so much over 59 00:02:54,120 --> 00:02:56,520 Speaker 2: the last two decades or so is because there hasn't 60 00:02:56,560 --> 00:03:00,160 Speaker 2: been investment in infrastructure. It's because the country has been 61 00:03:00,200 --> 00:03:04,600 Speaker 2: dealing with corruption, and also the sanctions have reduced a 62 00:03:04,600 --> 00:03:08,359 Speaker 2: lot of the output as well and customers requiring the fuel, 63 00:03:08,360 --> 00:03:11,120 Speaker 2: and that reduced the amount of rigs on the ground 64 00:03:11,120 --> 00:03:14,079 Speaker 2: as well. So to get us back up there, it's 65 00:03:14,120 --> 00:03:17,600 Speaker 2: going to cost billions of dollars and it's also going 66 00:03:17,639 --> 00:03:20,359 Speaker 2: to take essentially a decade to get back here now. 67 00:03:20,400 --> 00:03:23,120 Speaker 2: President Trump said on NBC earlier today that he's looking 68 00:03:23,160 --> 00:03:26,680 Speaker 2: at getting this up and running whatever that word to mean, 69 00:03:27,600 --> 00:03:31,200 Speaker 2: in eighteen months, which is really against what the view 70 00:03:31,240 --> 00:03:33,120 Speaker 2: of analysts in the market says, which is going to 71 00:03:33,120 --> 00:03:34,480 Speaker 2: take quite a bit longer. 72 00:03:34,880 --> 00:03:39,200 Speaker 1: That is Bloomberg Stephen Stepchinski. We turned to technology next 73 00:03:39,280 --> 00:03:42,800 Speaker 1: and the CEES conference. It officially gets underway Tuesday in 74 00:03:42,880 --> 00:03:46,840 Speaker 1: Las Vegas. Today, in Vidia CEO Jensen Wang announced a 75 00:03:46,880 --> 00:03:50,600 Speaker 1: group of AI models and tools designed to speed up 76 00:03:50,640 --> 00:03:54,640 Speaker 1: development of autonomous vehicles. Huang said the aim is to 77 00:03:54,640 --> 00:03:57,520 Speaker 1: help create vehicles that can think their way out of 78 00:03:57,600 --> 00:04:02,200 Speaker 1: unexpected situations such as traffic light outage. Here is Wang. 79 00:04:02,800 --> 00:04:10,920 Speaker 5: Today, we're announcing Alpa Mayo, the world's first thinking reasoning 80 00:04:11,280 --> 00:04:17,000 Speaker 5: autonomous vehicle AI. ALP Mayo is trained end to end, 81 00:04:17,480 --> 00:04:20,560 Speaker 5: literally from camera in to actuation out. 82 00:04:20,800 --> 00:04:24,320 Speaker 1: That is Nvidia CEO Jensen h Wang. Now, Bloomberg's Annabelle 83 00:04:24,360 --> 00:04:28,200 Speaker 1: Droolers is at CEES. She spoke with Bloomberg TV host 84 00:04:28,240 --> 00:04:29,880 Speaker 1: Paul Allen and Avril Hong. 85 00:04:30,040 --> 00:04:32,960 Speaker 6: Really one of the biggest announcements he had was around 86 00:04:33,000 --> 00:04:34,279 Speaker 6: this Reuben architecture. 87 00:04:34,440 --> 00:04:36,440 Speaker 3: It's essentially the success. 88 00:04:36,440 --> 00:04:38,960 Speaker 6: It's a blackwell, it's a lot more powerful, it can 89 00:04:39,000 --> 00:04:41,159 Speaker 6: do a lot more with a lot less energy demands 90 00:04:41,200 --> 00:04:42,479 Speaker 6: as well, So you're getting a bit of a nod 91 00:04:42,520 --> 00:04:46,560 Speaker 6: to that. Essentially, he's saying that the production has started, 92 00:04:46,560 --> 00:04:48,320 Speaker 6: they're going to be ramping that up into the end 93 00:04:48,360 --> 00:04:50,719 Speaker 6: of twenty twenty six, and it has been something designed 94 00:04:50,720 --> 00:04:55,680 Speaker 6: specifically for gigawat Ai factories now gigawort Ai factories. You're 95 00:04:55,760 --> 00:04:59,000 Speaker 6: essentially talking as well about what he addressed during that presentation, 96 00:04:59,160 --> 00:05:01,920 Speaker 6: which is that AI is becoming a lot more complex 97 00:05:02,000 --> 00:05:03,800 Speaker 6: and so as a result, it needs a lot more 98 00:05:03,880 --> 00:05:08,040 Speaker 6: compute power, and that's what he's saying that basically preparing 99 00:05:08,080 --> 00:05:11,360 Speaker 6: these products to address that need. It's interesting as we 100 00:05:11,560 --> 00:05:13,600 Speaker 6: ended twenty twenty five, we were talking still a lot 101 00:05:13,640 --> 00:05:16,760 Speaker 6: about those AI bubbles. He didn't address that specifically in 102 00:05:16,800 --> 00:05:19,000 Speaker 6: the presentation, but I think he did nod to it 103 00:05:19,440 --> 00:05:21,760 Speaker 6: when he talked about the demand that he's seeing and 104 00:05:21,839 --> 00:05:25,480 Speaker 6: how essentially the entire computing industry is changing and that 105 00:05:25,640 --> 00:05:28,120 Speaker 6: is driving these big shift in R and D budgets 106 00:05:28,160 --> 00:05:30,680 Speaker 6: as well from companies across a range of different industries, 107 00:05:30,720 --> 00:05:33,240 Speaker 6: so essentially saying and videos at the center of the 108 00:05:33,279 --> 00:05:37,159 Speaker 6: AI ecosystem, and again that demand is very much still 109 00:05:37,160 --> 00:05:39,239 Speaker 6: there for the company. But interesting to note, of course, 110 00:05:39,440 --> 00:05:42,599 Speaker 6: gensen Hung still talking about these products a lot earlier 111 00:05:42,600 --> 00:05:43,919 Speaker 6: in the year than he would typically do. 112 00:05:46,320 --> 00:05:46,520 Speaker 3: Well. 113 00:05:46,720 --> 00:05:50,560 Speaker 4: Jensen Huang was also speaking about autonomous driving. What did 114 00:05:50,560 --> 00:05:51,440 Speaker 4: you have to say about that? 115 00:05:52,320 --> 00:05:54,000 Speaker 6: Yeah, it was a really big focus as well in 116 00:05:54,040 --> 00:05:56,520 Speaker 6: the earlier part of the presentation, more on that sort 117 00:05:56,520 --> 00:05:59,880 Speaker 6: of embodied AI or physical AI, and to that end, 118 00:06:00,080 --> 00:06:02,280 Speaker 6: motives certainly were a big part. So he's announced what's 119 00:06:02,320 --> 00:06:04,960 Speaker 6: called the Alpha Mayer models. So he's saying that this 120 00:06:05,040 --> 00:06:09,640 Speaker 6: is the world's first thinking rather reasoning autonomous vehicle AI. 121 00:06:09,680 --> 00:06:11,000 Speaker 6: So I don't want to get two technical on it, 122 00:06:11,040 --> 00:06:13,600 Speaker 6: but what he's saying is essentially solving for the so 123 00:06:13,720 --> 00:06:16,599 Speaker 6: called long tail, which is when you're out in the world, 124 00:06:16,680 --> 00:06:19,600 Speaker 6: you're driving your vehicle and you come across very messy 125 00:06:19,680 --> 00:06:22,479 Speaker 6: or unpredictable situations, and so far he's saying that the 126 00:06:22,520 --> 00:06:26,599 Speaker 6: autonomous driving software technology hasn't really been able to solve 127 00:06:26,640 --> 00:06:28,560 Speaker 6: for that. But he's saying that Alpa Mayer will have 128 00:06:28,640 --> 00:06:32,640 Speaker 6: those capabilities, he'll be able to stop reason with more 129 00:06:32,720 --> 00:06:35,280 Speaker 6: human like capabilities and then make a decision. And that's 130 00:06:35,279 --> 00:06:37,200 Speaker 6: what he's saying is going to be the really big difference. 131 00:06:40,240 --> 00:06:42,839 Speaker 4: This event that you're out of course, BELL is really 132 00:06:42,960 --> 00:06:46,960 Speaker 4: one of the ones where the biggest names in tech gather. 133 00:06:47,279 --> 00:06:50,400 Speaker 3: What else are you looking forward to at the event? 134 00:06:51,480 --> 00:06:53,680 Speaker 6: Yeah, well, it's the biggest names, and then it's also 135 00:06:53,720 --> 00:06:55,760 Speaker 6: the names that maybe you haven't heard of before as well, 136 00:06:55,760 --> 00:06:58,120 Speaker 6: because there's all sorts of innovations that we're expecting to 137 00:06:58,120 --> 00:07:00,800 Speaker 6: see on display, and I think just the thing about mobility, 138 00:07:00,800 --> 00:07:02,760 Speaker 6: for instance, that's going to be one of the big 139 00:07:02,800 --> 00:07:04,839 Speaker 6: focus points of the event. And just behind me is 140 00:07:04,880 --> 00:07:07,920 Speaker 6: actually a product that I've never seen before, which is 141 00:07:07,960 --> 00:07:10,120 Speaker 6: a motorcycle with two wheels in the front. One of 142 00:07:10,160 --> 00:07:11,360 Speaker 6: the backset's a reverse. 143 00:07:11,160 --> 00:07:12,280 Speaker 3: Trike or a taphole trike. 144 00:07:12,320 --> 00:07:14,320 Speaker 6: But what is interesting about it is that it's also 145 00:07:14,360 --> 00:07:17,720 Speaker 6: an evetol or an electric vehicle takeoff and landing vehicles. 146 00:07:17,760 --> 00:07:20,440 Speaker 6: So expecting to see lots of different innovations on displaying 147 00:07:20,440 --> 00:07:24,040 Speaker 6: the mobility space, but also humanoid service robots. They're going 148 00:07:24,080 --> 00:07:28,200 Speaker 6: to continue to be key announcements around digital health, longevity, 149 00:07:28,720 --> 00:07:31,120 Speaker 6: energy demands as well, because there's that big question how 150 00:07:31,160 --> 00:07:33,840 Speaker 6: you're going to meet the power needs of AI and computing, 151 00:07:33,920 --> 00:07:38,440 Speaker 6: so solutions in solar wind, small nuclear reactors for instance, 152 00:07:38,520 --> 00:07:41,840 Speaker 6: next generation batteries. But then also this move to the edge, 153 00:07:41,880 --> 00:07:43,720 Speaker 6: which we've been talking about for quite a while now, 154 00:07:43,720 --> 00:07:46,560 Speaker 6: but should be a big focus of cesscre is so 155 00:07:46,680 --> 00:07:49,280 Speaker 6: called AI Everywhere or EDGAI, which is when you have 156 00:07:49,320 --> 00:07:51,320 Speaker 6: a lot of that sensitive data that ends up being 157 00:07:51,320 --> 00:07:54,040 Speaker 6: processed locally. And again just going back to Jensen HWANGI 158 00:07:54,040 --> 00:07:56,360 Speaker 6: actually did announce or nod to this in his presentation 159 00:07:56,480 --> 00:07:59,800 Speaker 6: because he was talking about agentic AI technologies that are 160 00:07:59,800 --> 00:08:02,280 Speaker 6: going to become a lot more customized, and again that 161 00:08:02,360 --> 00:08:03,840 Speaker 6: points to the need for AJI. 162 00:08:04,160 --> 00:08:08,040 Speaker 1: That is Bloomberg's Annabel droolers from the CEES conference in 163 00:08:08,120 --> 00:08:17,920 Speaker 1: Las Vegas. Here on the Daybreak Asia podcast. Welcome back 164 00:08:17,920 --> 00:08:21,320 Speaker 1: to the Daybreak Asia podcast. I'm Doug Chrisner. We are 165 00:08:21,320 --> 00:08:24,520 Speaker 1: well aware of the number of forces working on markets 166 00:08:24,520 --> 00:08:29,000 Speaker 1: these days. There are obvious geopolitical risk, especially those associated 167 00:08:29,040 --> 00:08:33,840 Speaker 1: with Venezuelan oil after the US ouster of President Nicholas Maduro. 168 00:08:34,120 --> 00:08:38,240 Speaker 1: There are also questions surrounding the durability of the AI trade. 169 00:08:38,559 --> 00:08:41,200 Speaker 1: And let's not forget the outlook for central bank policy, 170 00:08:41,360 --> 00:08:44,400 Speaker 1: chiefly from the FED. For a closer look, I'm joined 171 00:08:44,400 --> 00:08:47,760 Speaker 1: by Andrew Skadoff. He is the founder and CIO at 172 00:08:47,800 --> 00:08:51,719 Speaker 1: Bancreek Capital Advisors. Andrew's on the line from Los Angeles. 173 00:08:51,800 --> 00:08:55,319 Speaker 1: Thanks for being here. So I highlighted many of the factors, 174 00:08:55,559 --> 00:08:58,400 Speaker 1: and given all of these influences, how do you go 175 00:08:58,559 --> 00:09:02,000 Speaker 1: about separating signal from noise? 176 00:09:02,600 --> 00:09:04,880 Speaker 7: You know, when you think back to twenty twenty three 177 00:09:04,920 --> 00:09:07,920 Speaker 7: to twenty twenty four, we did see a fairly narrow 178 00:09:08,040 --> 00:09:10,600 Speaker 7: rally in the market, and that kind of broadened out 179 00:09:10,600 --> 00:09:13,520 Speaker 7: a bit in twenty twenty five with kind of AI 180 00:09:13,679 --> 00:09:18,920 Speaker 7: infrastructure stock theme durability being surprisingly strong as the current 181 00:09:18,960 --> 00:09:21,760 Speaker 7: administration kind of increased the port of the tech sector 182 00:09:21,880 --> 00:09:25,760 Speaker 7: after witnessing the impact their initial terror policies. Said earlier 183 00:09:25,800 --> 00:09:28,000 Speaker 7: in the year, we're having but we're still seeing a 184 00:09:28,040 --> 00:09:30,720 Speaker 7: pretty concentrated market, right and I think, you know, some 185 00:09:30,800 --> 00:09:34,040 Speaker 7: investors may not fully appreciate the kind of concentration risks 186 00:09:34,040 --> 00:09:37,800 Speaker 7: that many portfolios still have today, which again, as we 187 00:09:37,840 --> 00:09:40,679 Speaker 7: move into twenty six, we actually think there's more of 188 00:09:40,720 --> 00:09:43,080 Speaker 7: a dispersion that will be present, and I think it 189 00:09:43,080 --> 00:09:45,320 Speaker 7: could set up well for stock pickers, So you know, 190 00:09:45,360 --> 00:09:47,920 Speaker 7: when you're asking about, like what does that look like 191 00:09:48,440 --> 00:09:52,400 Speaker 7: for assessing noise and signal, what we tend to do 192 00:09:52,920 --> 00:09:55,960 Speaker 7: is a very data focused approach where we're looking both 193 00:09:56,000 --> 00:09:59,600 Speaker 7: fundamentally under the hood for these businesses as well as 194 00:09:59,600 --> 00:10:03,440 Speaker 7: some autitative features that we've developed to help us assess, 195 00:10:03,840 --> 00:10:07,760 Speaker 7: you know, what businesses are structurally advantaged and will have 196 00:10:07,840 --> 00:10:10,760 Speaker 7: the ability to compound capital for investors over time. 197 00:10:10,960 --> 00:10:13,880 Speaker 1: Is the concentration risks solely big cap tech? 198 00:10:14,520 --> 00:10:18,079 Speaker 7: Yeah, I mean obviously a lot of people have covered this, 199 00:10:18,240 --> 00:10:20,280 Speaker 7: but when you when you look back historically, we're just 200 00:10:20,320 --> 00:10:23,200 Speaker 7: in a position that we've never seen before where you know, 201 00:10:23,280 --> 00:10:26,600 Speaker 7: you have a handful of positions not only being the 202 00:10:26,720 --> 00:10:30,120 Speaker 7: lion's share of you know, some indicies, but also generating 203 00:10:30,720 --> 00:10:32,720 Speaker 7: you know, for sure over the lion's share of the 204 00:10:32,720 --> 00:10:36,080 Speaker 7: returns over those specific years. And I think you know, 205 00:10:36,120 --> 00:10:39,000 Speaker 7: the risk is, or you know, the surprise could be, 206 00:10:39,480 --> 00:10:40,920 Speaker 7: you know, as you look out in twenty six and 207 00:10:40,920 --> 00:10:44,480 Speaker 7: twenty seven, even if those returns are muted or slightly lower, 208 00:10:44,760 --> 00:10:47,200 Speaker 7: folks could be surprised that, you know, the overall returns 209 00:10:47,200 --> 00:10:49,439 Speaker 7: of the market will be lower because there's such they 210 00:10:49,440 --> 00:10:53,320 Speaker 7: have such a dominant share in positioning. That's the opportunity, 211 00:10:53,559 --> 00:10:57,000 Speaker 7: we believe for active management and individual stock picking. 212 00:10:57,360 --> 00:10:59,280 Speaker 1: One of the things that the market is beending on 213 00:10:59,600 --> 00:11:02,640 Speaker 1: is a lot more in the way of rate cuts 214 00:11:02,640 --> 00:11:04,640 Speaker 1: from the FED. And I'm trying to understand whether you 215 00:11:04,640 --> 00:11:07,880 Speaker 1: would categorize the debate at the FED and a lot 216 00:11:07,920 --> 00:11:11,400 Speaker 1: of market speculation more as signal or noise. 217 00:11:11,679 --> 00:11:14,440 Speaker 7: A little bit of both, right, because you know, the 218 00:11:14,480 --> 00:11:17,439 Speaker 7: FED has been more accommodating with respect to rate reductions 219 00:11:17,440 --> 00:11:19,760 Speaker 7: and we think that will continue to help kind of 220 00:11:19,760 --> 00:11:24,080 Speaker 7: broader equity markets in general. Though at current valuations, investors 221 00:11:24,400 --> 00:11:26,760 Speaker 7: need to be mindful of where to allocate capital, and 222 00:11:26,760 --> 00:11:29,680 Speaker 7: that is where you know, it's really important to search 223 00:11:29,720 --> 00:11:32,800 Speaker 7: for the signals. You know, I always talk about if 224 00:11:32,800 --> 00:11:35,040 Speaker 7: you have like two assets and they both you know, 225 00:11:35,120 --> 00:11:37,600 Speaker 7: let's say compound at ten percent over a period of time, 226 00:11:38,000 --> 00:11:40,760 Speaker 7: one asset is ten percent every year and the other 227 00:11:40,800 --> 00:11:43,640 Speaker 7: asset is kind of all over the place up forty, down, thirty, 228 00:11:43,760 --> 00:11:45,480 Speaker 7: up twenty, but you end up kind of in the 229 00:11:45,480 --> 00:11:48,160 Speaker 7: same place. You know, is there a difference between the 230 00:11:48,200 --> 00:11:51,040 Speaker 7: two And we would say absolutely, because the signal that 231 00:11:51,040 --> 00:11:53,320 Speaker 7: you're getting from the first asset is telling you there's 232 00:11:53,360 --> 00:11:58,240 Speaker 7: something structurally advantaged and consistent about that assets ability to 233 00:11:58,360 --> 00:12:01,880 Speaker 7: generate return for shareholders. The other asset, obviously, it has 234 00:12:01,880 --> 00:12:04,520 Speaker 7: a much more volatile path, which tells you there could 235 00:12:04,520 --> 00:12:07,840 Speaker 7: be increased competition, it could be a more cyclical business 236 00:12:07,880 --> 00:12:10,720 Speaker 7: environment that they're operating in, but there's potential disruption for 237 00:12:10,800 --> 00:12:13,280 Speaker 7: that asset, and that's really kind of what we're focused on. 238 00:12:13,640 --> 00:12:15,520 Speaker 7: And so when you think about kind of the AI 239 00:12:15,640 --> 00:12:18,719 Speaker 7: and infrastructure play going forward, we do think there are 240 00:12:18,800 --> 00:12:21,520 Speaker 7: really interesting ways to play it. And so when you 241 00:12:21,559 --> 00:12:23,840 Speaker 7: look at some of the positions that we own within 242 00:12:23,920 --> 00:12:27,360 Speaker 7: our ETFs, you'll find businesses that have been around for 243 00:12:27,720 --> 00:12:30,000 Speaker 7: you know, one hundred or so years, kind of oldline 244 00:12:30,040 --> 00:12:34,720 Speaker 7: industrials that will be participating in you know, data center buildouts, 245 00:12:35,440 --> 00:12:38,360 Speaker 7: just not from like the initial tech stack. 246 00:12:38,920 --> 00:12:41,160 Speaker 1: So today the Rustle two thousand was up about one 247 00:12:41,160 --> 00:12:44,520 Speaker 1: point six percent today. How does your work view the 248 00:12:44,559 --> 00:12:46,000 Speaker 1: small cap space right now? 249 00:12:46,600 --> 00:12:49,920 Speaker 7: You know, it's funny small caps obviously from when I 250 00:12:49,920 --> 00:12:52,480 Speaker 7: started my career like twenty years ago, it's very different 251 00:12:52,800 --> 00:12:55,560 Speaker 7: today and obviously much larger. So you know, there are 252 00:12:55,600 --> 00:12:59,040 Speaker 7: some small to mid cap companies that have kind of 253 00:12:59,600 --> 00:13:02,560 Speaker 7: achieved this escape velocity where they might have may have 254 00:13:02,600 --> 00:13:05,520 Speaker 7: started as a really niche market, but have grown and 255 00:13:05,640 --> 00:13:08,920 Speaker 7: are now scalable and what I would call structurally advantaged. 256 00:13:09,160 --> 00:13:12,760 Speaker 7: So there are some very interesting opportunities kind of in 257 00:13:12,800 --> 00:13:16,000 Speaker 7: that let's say, you know, billion to five billion dollar 258 00:13:16,120 --> 00:13:19,760 Speaker 7: market cap range, where you can find these kind of 259 00:13:20,000 --> 00:13:23,920 Speaker 7: durable compounders, if you will, that are positioned and set 260 00:13:23,960 --> 00:13:27,800 Speaker 7: up quite nicely, and with multiples that are fairly reasonable. 261 00:13:28,320 --> 00:13:31,440 Speaker 1: Well, you mentioned multiples there. One of the criticisms of 262 00:13:31,480 --> 00:13:34,400 Speaker 1: the equity market state side has been that by and 263 00:13:34,520 --> 00:13:38,520 Speaker 1: large it's still very expensive, particularly given the AI trade. 264 00:13:38,920 --> 00:13:41,240 Speaker 1: I'm wondering whether or not it's forced you to look 265 00:13:41,360 --> 00:13:45,120 Speaker 1: offshore these days, and if so, what are you finding internationally? 266 00:13:46,679 --> 00:13:50,640 Speaker 7: Yes, so another great point for sure, the the US 267 00:13:50,640 --> 00:13:54,800 Speaker 7: market valuation landscape is a little more stretched than you know, 268 00:13:54,840 --> 00:13:57,680 Speaker 7: we would we would like, and so you know, we 269 00:13:57,760 --> 00:14:01,199 Speaker 7: do have international portfolio as well, and what we found, 270 00:14:01,320 --> 00:14:03,880 Speaker 7: you know, historically is that it's traded at a pretty 271 00:14:03,880 --> 00:14:06,000 Speaker 7: steep discount to the US markets, and you're you're still 272 00:14:06,000 --> 00:14:10,120 Speaker 7: seeing some of that discount, but you know, similar type themes, 273 00:14:09,960 --> 00:14:14,640 Speaker 7: the same durable compounding types of companies. You know, for instance, 274 00:14:14,720 --> 00:14:20,080 Speaker 7: you might have like a company like ABB in Switzerland 275 00:14:20,120 --> 00:14:24,080 Speaker 7: that is a super interesting leader in electrification and automation, 276 00:14:24,320 --> 00:14:27,840 Speaker 7: and they're going to benefit from kind of the infrastructure 277 00:14:27,840 --> 00:14:29,360 Speaker 7: spend for data center build out. 278 00:14:29,600 --> 00:14:31,080 Speaker 3: And I look at this as kind of like. 279 00:14:31,080 --> 00:14:33,920 Speaker 7: An added tail into what is already a very stable, 280 00:14:35,160 --> 00:14:38,800 Speaker 7: well positioned business. You could also look at companies like 281 00:14:38,880 --> 00:14:42,200 Speaker 7: BA Systems, right, so obviously one of the largest defense 282 00:14:42,200 --> 00:14:45,520 Speaker 7: and aerospace companies in the world. Given what's going on, 283 00:14:46,760 --> 00:14:49,760 Speaker 7: you know, internationally these days, you are seeing Europe and 284 00:14:49,800 --> 00:14:52,440 Speaker 7: other allies outside of the US looking to work more 285 00:14:52,480 --> 00:14:56,200 Speaker 7: closely with non US defense contractors to procure, you know, 286 00:14:56,240 --> 00:14:59,360 Speaker 7: weapon systems and improve their defense capabilities, probably now more 287 00:14:59,360 --> 00:15:01,720 Speaker 7: than ever. And just given the long term nature of 288 00:15:01,720 --> 00:15:06,520 Speaker 7: these contracts, the defense contractors conform really deep customer relationships. 289 00:15:06,800 --> 00:15:09,160 Speaker 7: I look back at how well some of the US 290 00:15:09,160 --> 00:15:12,440 Speaker 7: defense companies like Lockheed Martin and Northrope in general dynamics 291 00:15:12,440 --> 00:15:14,840 Speaker 7: have performed over the last few decades, and you know, 292 00:15:14,880 --> 00:15:17,520 Speaker 7: we think BAE will have a meaningful long term runway 293 00:15:17,520 --> 00:15:17,920 Speaker 7: from here. 294 00:15:18,160 --> 00:15:20,320 Speaker 1: One of the areas of strength today in the US 295 00:15:20,400 --> 00:15:24,200 Speaker 1: equity market was financials. How are you viewing the financial 296 00:15:24,200 --> 00:15:25,120 Speaker 1: industry right now. 297 00:15:25,680 --> 00:15:29,440 Speaker 7: So financials have been pretty volatile over time. So again 298 00:15:30,000 --> 00:15:32,480 Speaker 7: our perspective is you want to get paid for you know, 299 00:15:32,600 --> 00:15:35,520 Speaker 7: incremental you know, unit of volatility or risk that you're 300 00:15:35,560 --> 00:15:39,160 Speaker 7: taking as an investor. One area of financial is that 301 00:15:40,280 --> 00:15:43,920 Speaker 7: has performed really well and that we do incorporate into, 302 00:15:44,280 --> 00:15:47,080 Speaker 7: you know, our quantitative approach has been insurance companies. So 303 00:15:47,240 --> 00:15:51,160 Speaker 7: you have something like an arch Capital Group, which is 304 00:15:51,320 --> 00:15:54,480 Speaker 7: you know, best in class specialty insured and reinsure, and 305 00:15:54,840 --> 00:15:57,920 Speaker 7: you know the reason being they've displayed like exceptional and 306 00:15:58,000 --> 00:16:02,480 Speaker 7: disciplined underwriting over other twenty plus years in existence, and 307 00:16:02,560 --> 00:16:05,760 Speaker 7: they generate really high ROI c you know in the 308 00:16:05,760 --> 00:16:08,480 Speaker 7: insurance world, like mid to thigh teens is actually really attractive. 309 00:16:08,880 --> 00:16:11,280 Speaker 7: So it allows the company to kind of compound its 310 00:16:11,280 --> 00:16:16,120 Speaker 7: book value while remaining resilient through different insurance cycles. So 311 00:16:16,480 --> 00:16:18,880 Speaker 7: we still like the insurance companies and think that's a 312 00:16:18,960 --> 00:16:23,479 Speaker 7: great company and type of investment for anybody's portfolio. 313 00:16:23,680 --> 00:16:25,720 Speaker 1: Andrew will leave it there. Thank you Sovuch for being 314 00:16:25,760 --> 00:16:29,640 Speaker 1: with us. Andrew Skateoff is founder also the CIO at 315 00:16:29,680 --> 00:16:33,080 Speaker 1: Bancreek Capital Advisors, joining from Los Angeles here on the 316 00:16:33,120 --> 00:16:38,600 Speaker 1: Daybreak Asia podcast. Thanks for listening to today's episode of 317 00:16:38,640 --> 00:16:42,720 Speaker 1: the Bloomberg Daybreak Asia Edition podcast. Each weekday, we look 318 00:16:42,760 --> 00:16:46,560 Speaker 1: at the story shaping markets, finance, and geopolitics in the 319 00:16:46,600 --> 00:16:49,840 Speaker 1: Asia Pacific. You can find us on Apple, Spotify, the 320 00:16:49,880 --> 00:16:53,880 Speaker 1: Bloomberg Podcast YouTube channel, or anywhere else you listen. Join 321 00:16:54,000 --> 00:16:56,960 Speaker 1: us again tomorrow for insight on the market moves from 322 00:16:57,000 --> 00:17:01,440 Speaker 1: Hong Kong to Singapore and Australia. I'm Doug Prisoner and 323 00:17:01,600 --> 00:17:02,760 Speaker 1: this is Bloomberg