1 00:00:05,440 --> 00:00:07,840 Speaker 1: What can a chins, I'm Chuil Webber and Americ Belcunas 2 00:00:11,640 --> 00:00:13,840 Speaker 1: Eric anything of note been happening in markets of late 3 00:00:14,600 --> 00:00:15,120 Speaker 1: What a year? 4 00:00:15,760 --> 00:00:19,640 Speaker 2: What a year this day has been but whiplash, Yeah yeah, 5 00:00:19,720 --> 00:00:20,840 Speaker 2: COVID like whiplash. 6 00:00:21,400 --> 00:00:21,599 Speaker 1: You know. 7 00:00:21,800 --> 00:00:25,520 Speaker 2: The whole year it was sell America, the sell America trade, 8 00:00:25,680 --> 00:00:30,360 Speaker 2: uron stocks, Europe is the place to be and uh 9 00:00:30,400 --> 00:00:33,280 Speaker 2: well that didn't turn out to be true. The us 10 00:00:33,360 --> 00:00:37,080 Speaker 2: rallied back. Now it's positive on the year. I'd say 11 00:00:37,080 --> 00:00:40,680 Speaker 2: even that just blew away much of the negativity and 12 00:00:40,960 --> 00:00:43,639 Speaker 2: expert analysis out there. It's a little I think it's 13 00:00:43,680 --> 00:00:45,640 Speaker 2: one of those moments that's baffling for a lot of people. 14 00:00:45,720 --> 00:00:50,080 Speaker 2: But so instead of you know, selling America, everybody bought it, 15 00:00:50,760 --> 00:00:53,360 Speaker 2: and here we are back in what feels like twenty 16 00:00:53,400 --> 00:00:55,160 Speaker 2: twenty four again, it feels like we're kind of like 17 00:00:55,720 --> 00:00:59,840 Speaker 2: back to normal, which is sort of like, as somebody 18 00:00:59,840 --> 00:01:03,440 Speaker 2: on this podcast is going to say, is comfortably bullish, 19 00:01:03,480 --> 00:01:04,240 Speaker 2: comfortably bolish. 20 00:01:04,319 --> 00:01:08,240 Speaker 1: Okay, Well, to help us walk through some of those 21 00:01:08,240 --> 00:01:11,000 Speaker 1: headlines and what's happening in markets and bonds, we're gonna 22 00:01:11,000 --> 00:01:14,160 Speaker 1: be joined by Isabelle Lee Process, a reporter with Bloomberg 23 00:01:14,200 --> 00:01:18,920 Speaker 1: News as well as Athanasios, Sarah Vegas ETF analyst with 24 00:01:18,959 --> 00:01:28,319 Speaker 1: Boomberg Controjans Beast time on Trillions. Bye bye America, Athanasios, 25 00:01:28,440 --> 00:01:31,199 Speaker 1: welcome back to Trillions, Isabelle, thanks for being here. See 26 00:01:31,200 --> 00:01:32,480 Speaker 1: what I did there? Good bye bye. 27 00:01:32,840 --> 00:01:33,559 Speaker 3: I heard it. 28 00:01:33,560 --> 00:01:38,959 Speaker 1: It was good. So let's I want to set this 29 00:01:39,000 --> 00:01:40,759 Speaker 1: up with you because you've been writing some interesting notes 30 00:01:40,800 --> 00:01:43,080 Speaker 1: right now. What have you been seeing on sort of 31 00:01:43,120 --> 00:01:45,840 Speaker 1: like just a metal level of how things have transpired. 32 00:01:46,240 --> 00:01:48,560 Speaker 4: Yeah, well, Eric kind of alluded to it, but it's 33 00:01:48,720 --> 00:01:51,840 Speaker 4: the bounce back in the US market, And looked at 34 00:01:51,840 --> 00:01:53,760 Speaker 4: what happened in the beginning of April. It was a 35 00:01:53,800 --> 00:01:56,960 Speaker 4: lot of negative sentiment. It was the US acceptavision is 36 00:01:57,040 --> 00:01:59,800 Speaker 4: over time to rotate into Europe, move away out of it. 37 00:02:00,400 --> 00:02:00,520 Speaker 2: Uh. 38 00:02:00,800 --> 00:02:04,080 Speaker 4: But one thing that was interesting with THETF flows, they 39 00:02:04,120 --> 00:02:07,320 Speaker 4: never really fully bought into the Europe story, right, so 40 00:02:07,360 --> 00:02:09,200 Speaker 4: you heard everyone coming up with, well, it's time to 41 00:02:09,280 --> 00:02:11,480 Speaker 4: rotate into Europe. The flows didn't really bite. They were 42 00:02:11,520 --> 00:02:14,440 Speaker 4: still sort of buying the US even during that dip 43 00:02:14,440 --> 00:02:16,840 Speaker 4: in the beginning of April. They continued to buy. And 44 00:02:16,919 --> 00:02:19,560 Speaker 4: now that's paid off because the market's bounced back so far. 45 00:02:19,720 --> 00:02:23,160 Speaker 4: So maybe across the world. Yeah, Europe was a little 46 00:02:23,160 --> 00:02:25,520 Speaker 4: bit more negative on the US, but if we didn't 47 00:02:25,600 --> 00:02:28,400 Speaker 4: look in like Asia, they were actually buying US stocks 48 00:02:28,400 --> 00:02:32,080 Speaker 4: like pretty aggressively. So you know, you if you weren't buying, 49 00:02:32,120 --> 00:02:35,680 Speaker 4: you missed out on this massive, really rapid rebound, I. 50 00:02:35,600 --> 00:02:37,880 Speaker 2: Mean, one of the phenomenons. And you know we saw 51 00:02:37,880 --> 00:02:40,640 Speaker 2: this during Trump one point zero two. There does seem 52 00:02:40,720 --> 00:02:43,960 Speaker 2: to be like a little bit of a wider gap 53 00:02:44,480 --> 00:02:47,200 Speaker 2: between negativity and the headlines and like the reality in 54 00:02:47,240 --> 00:02:50,360 Speaker 2: the market. And I know that probably because you know, 55 00:02:50,400 --> 00:02:53,680 Speaker 2: the president can be polarizing, and I think sometimes that 56 00:02:53,800 --> 00:02:55,360 Speaker 2: gap is almos. 57 00:02:55,360 --> 00:02:56,240 Speaker 1: Remember I had that guy on here. 58 00:02:57,480 --> 00:02:59,440 Speaker 2: I know, I'm trying to make a metric out of 59 00:02:59,440 --> 00:03:02,560 Speaker 2: it between the flows and the price and then the headlines, 60 00:03:02,639 --> 00:03:05,640 Speaker 2: and it's almost like a factor where there's some kind 61 00:03:05,639 --> 00:03:08,079 Speaker 2: of a gap there. It reminds me of that guy 62 00:03:08,120 --> 00:03:11,040 Speaker 2: we had on who talked about intangible value of a stock, 63 00:03:11,120 --> 00:03:14,120 Speaker 2: where it's like dark matter. You can't quite see it 64 00:03:14,200 --> 00:03:15,840 Speaker 2: or measure it, but you know it's there. And I 65 00:03:15,840 --> 00:03:18,640 Speaker 2: think it's something people have to be careful of. But 66 00:03:18,760 --> 00:03:21,919 Speaker 2: it seems to me the money doesn't care what the 67 00:03:21,960 --> 00:03:24,000 Speaker 2: headlines are they're just simply buying. 68 00:03:24,760 --> 00:03:25,560 Speaker 1: They wants more money. 69 00:03:25,600 --> 00:03:28,320 Speaker 2: Money wants more money, and that's kind of cool that 70 00:03:28,639 --> 00:03:32,800 Speaker 2: in all this, like, you know, all this political warfare 71 00:03:32,840 --> 00:03:35,800 Speaker 2: and headlines going back and forth on both sides, that 72 00:03:35,960 --> 00:03:39,480 Speaker 2: you know, money just wants to make money. And I 73 00:03:39,520 --> 00:03:42,920 Speaker 2: think when it saw some pullback on the tariffs, it 74 00:03:42,960 --> 00:03:46,320 Speaker 2: was immediately in because it generally has real faith in 75 00:03:46,480 --> 00:03:48,520 Speaker 2: US stocks, likes to be in US stocks, doesn't want 76 00:03:48,560 --> 00:03:50,600 Speaker 2: to not be in there. And I think that was 77 00:03:50,600 --> 00:03:52,880 Speaker 2: something we saw this year and something will probably continue 78 00:03:52,920 --> 00:03:55,800 Speaker 2: to see. So I think in a way sometimes the 79 00:03:55,840 --> 00:03:59,640 Speaker 2: headlines need a little bit of an adjustment factor, you know, 80 00:04:00,120 --> 00:04:01,040 Speaker 2: for the next three years. 81 00:04:01,480 --> 00:04:02,000 Speaker 1: We'll see. 82 00:04:02,000 --> 00:04:04,880 Speaker 2: But that's something we've noticed and I think other peoples have. 83 00:04:04,960 --> 00:04:07,760 Speaker 2: There just definitely was like a disconnect between flows and 84 00:04:07,800 --> 00:04:11,000 Speaker 2: prices and the headline and the sort of vibe out 85 00:04:11,040 --> 00:04:13,680 Speaker 2: there coming on every little thing that was going on. 86 00:04:13,800 --> 00:04:17,680 Speaker 3: Macrowise, so said media here in New York Face. But 87 00:04:17,760 --> 00:04:19,640 Speaker 3: I think the headline was an attack on us. 88 00:04:19,800 --> 00:04:20,360 Speaker 1: No, it's true. 89 00:04:20,360 --> 00:04:22,960 Speaker 3: I mean, the headline risk is real. I've actually we 90 00:04:23,000 --> 00:04:25,039 Speaker 3: talked to money managers all the time and they also 91 00:04:25,080 --> 00:04:27,960 Speaker 3: say that the concerns are there but most of them 92 00:04:27,960 --> 00:04:31,880 Speaker 3: are actually staying put also because many reasons, long term 93 00:04:31,880 --> 00:04:34,479 Speaker 3: investment strategies, or because they're just trying to write it out, 94 00:04:34,560 --> 00:04:36,760 Speaker 3: because if you move, you move to what I mean, 95 00:04:36,760 --> 00:04:40,120 Speaker 3: we were just talking about this earlier, Joel, that one 96 00:04:40,160 --> 00:04:43,040 Speaker 3: tweet or one truth could change a lot of things, 97 00:04:43,120 --> 00:04:46,240 Speaker 3: and it's hard to have conviction. That's what they tell me, 98 00:04:46,279 --> 00:04:48,599 Speaker 3: because then if you have conviction on one tweet, what 99 00:04:48,640 --> 00:04:51,320 Speaker 3: will happen to the others. The data that jumps out 100 00:04:51,320 --> 00:04:53,719 Speaker 3: to me is that disparity between soft data and hard data. 101 00:04:54,080 --> 00:04:56,960 Speaker 3: Back of America had this really interesting graph that showed 102 00:04:56,960 --> 00:04:59,920 Speaker 3: that the gap between those two is that it's wide 103 00:05:00,160 --> 00:05:03,560 Speaker 3: since at least twenty five years. So what do you 104 00:05:03,560 --> 00:05:05,600 Speaker 3: look at these days? And then we have a lot 105 00:05:05,640 --> 00:05:09,440 Speaker 3: of money managers looking at alternative data like cargo or 106 00:05:09,520 --> 00:05:12,360 Speaker 3: like foot traffic to stores or pizza deliveries because they 107 00:05:12,360 --> 00:05:15,880 Speaker 3: can't rely on our data anymore, the traditional one solely 108 00:05:16,000 --> 00:05:16,560 Speaker 3: at least. 109 00:05:16,720 --> 00:05:18,960 Speaker 1: So it's like anything that helps me feel like I 110 00:05:19,000 --> 00:05:21,880 Speaker 1: can get a read on what's happening and gives. 111 00:05:21,760 --> 00:05:24,440 Speaker 3: Me an advantage, yes, or even Uber deliveries. One person 112 00:05:24,520 --> 00:05:26,320 Speaker 3: was telling me because he was like, you don't order 113 00:05:26,400 --> 00:05:31,240 Speaker 3: out if you feel like there's a recession coming interesting. 114 00:05:31,000 --> 00:05:33,120 Speaker 2: And Isabelle this is a great thing to riff off 115 00:05:33,120 --> 00:05:35,839 Speaker 2: of for Athanasios, which is that where else can you go? 116 00:05:35,920 --> 00:05:38,480 Speaker 2: I think this is something that's underrated. So this idea 117 00:05:38,520 --> 00:05:42,800 Speaker 2: of American exceptionalism in markets, in markets, I do think 118 00:05:42,880 --> 00:05:46,520 Speaker 2: it's stronger than it's given credit for, because you've found 119 00:05:46,720 --> 00:05:50,480 Speaker 2: that the poll to invest here, even if you don't 120 00:05:50,560 --> 00:05:53,839 Speaker 2: like what's going on. You look at the stocks in 121 00:05:53,880 --> 00:05:56,000 Speaker 2: the Nasdaq one hundred or the S and P, and 122 00:05:56,040 --> 00:05:59,240 Speaker 2: then you fire up the European ETF and you look 123 00:05:59,240 --> 00:06:02,520 Speaker 2: at those stocks. I'm sorry, you're not leaving, You're you 124 00:06:02,560 --> 00:06:03,600 Speaker 2: gonna stay in America. 125 00:06:04,560 --> 00:06:07,640 Speaker 4: Yeah, I mean, I think it's right about what alternative 126 00:06:07,800 --> 00:06:10,480 Speaker 4: there is, and it's really hard to give it up, 127 00:06:11,200 --> 00:06:13,600 Speaker 4: you know, and with Trump and all that, like, I 128 00:06:13,600 --> 00:06:15,480 Speaker 4: get it, Yeah, he's kind of messing with the markets now, 129 00:06:15,480 --> 00:06:17,760 Speaker 4: But if you take all that out, we're still just 130 00:06:17,880 --> 00:06:20,560 Speaker 4: these companies are really good at just making money right, 131 00:06:21,440 --> 00:06:23,440 Speaker 4: way better than Europe, way better than some other kind. 132 00:06:23,520 --> 00:06:26,440 Speaker 4: And so when you just look at what is the 133 00:06:26,440 --> 00:06:29,120 Speaker 4: best alternative, I find it really hard to get money 134 00:06:29,200 --> 00:06:30,880 Speaker 4: to pry away from the US and be like, Okay, 135 00:06:30,880 --> 00:06:33,320 Speaker 4: I'm gonna go fully into Europe. I just feel like 136 00:06:33,400 --> 00:06:36,280 Speaker 4: this might not age well. Not saying that they can't 137 00:06:36,279 --> 00:06:38,440 Speaker 4: do well, but a lot of times when europe stocks 138 00:06:38,480 --> 00:06:40,600 Speaker 4: do well, US is also doing really well too. I 139 00:06:40,640 --> 00:06:43,480 Speaker 4: can't really see a scenario where we're doing really poorly 140 00:06:43,560 --> 00:06:47,560 Speaker 4: and they're like crushing it. But you know, I think 141 00:06:47,600 --> 00:06:49,840 Speaker 4: it's just And even if you look at Europe, most 142 00:06:49,839 --> 00:06:52,520 Speaker 4: of their money is invested in the US, right, So 143 00:06:52,760 --> 00:06:55,080 Speaker 4: I think almost in a way, like our greatest export 144 00:06:55,160 --> 00:06:57,600 Speaker 4: here is like our returns, our market returns, because so 145 00:06:57,680 --> 00:07:00,200 Speaker 4: much of the world has benefited off of like just 146 00:07:00,240 --> 00:07:02,680 Speaker 4: the growth in the SP five hundred. It's not just US, 147 00:07:02,720 --> 00:07:04,200 Speaker 4: it's like a global phenomenon. 148 00:07:04,680 --> 00:07:08,800 Speaker 1: What else in the data have you been evaluating specifically 149 00:07:08,800 --> 00:07:09,600 Speaker 1: around Europe? 150 00:07:10,000 --> 00:07:14,040 Speaker 4: Could say two things, right, they'd say, there's US investors 151 00:07:14,280 --> 00:07:17,920 Speaker 4: trying to buy European funds. Here there's there's barely any movement, 152 00:07:18,040 --> 00:07:20,160 Speaker 4: right and even this is Europe doing really really well 153 00:07:20,160 --> 00:07:23,200 Speaker 4: this year, they just haven't really allocated to it. Then 154 00:07:23,200 --> 00:07:26,480 Speaker 4: there's the European investors investing in the US and then 155 00:07:26,520 --> 00:07:29,400 Speaker 4: their local markets. So there you've seen that they definitely 156 00:07:29,400 --> 00:07:32,000 Speaker 4: turned more bearish on the US in April. They were 157 00:07:32,040 --> 00:07:35,800 Speaker 4: cutting down their allocations and were staying more domestic, but 158 00:07:36,000 --> 00:07:39,000 Speaker 4: with that they missed this massive rebound. But if you 159 00:07:39,040 --> 00:07:42,000 Speaker 4: still look at the way they're positioned, there's still mostly 160 00:07:42,120 --> 00:07:45,120 Speaker 4: overweight the US. So they're invested more in the US, 161 00:07:45,160 --> 00:07:47,320 Speaker 4: at least three tfs more in the US than they 162 00:07:47,320 --> 00:07:48,960 Speaker 4: are even in their own local market. So I think 163 00:07:48,960 --> 00:07:51,320 Speaker 4: they understand it too. It's like, yeah, I live here, 164 00:07:51,360 --> 00:07:54,280 Speaker 4: Europe's a great place, but for investing in stocks, just 165 00:07:54,360 --> 00:07:57,160 Speaker 4: the US just offers a way better alternative than some 166 00:07:57,200 --> 00:07:58,440 Speaker 4: of the local ones that I'm getting. 167 00:07:58,760 --> 00:08:02,320 Speaker 2: But you also looked at the times when Europe outperforms 168 00:08:02,360 --> 00:08:05,800 Speaker 2: the US. It's like a rower band, right, Yeah, and 169 00:08:05,840 --> 00:08:09,920 Speaker 2: it got to its like sort of widest length that 170 00:08:09,960 --> 00:08:12,400 Speaker 2: it ever gets to, which is what like seventeen eighteen percent? 171 00:08:13,040 --> 00:08:14,120 Speaker 2: And what happens next? 172 00:08:14,320 --> 00:08:18,240 Speaker 4: Yeah, and things mean revert, right, So you know, Europe 173 00:08:18,280 --> 00:08:20,240 Speaker 4: was outperforming the US quite a bit this year, and 174 00:08:20,400 --> 00:08:23,280 Speaker 4: mean mean reverted in April. Then the other thing we 175 00:08:23,280 --> 00:08:25,560 Speaker 4: always kind of joke about European summers and how Europe 176 00:08:25,560 --> 00:08:28,200 Speaker 4: like takes off the entire summer summer is actually a 177 00:08:28,200 --> 00:08:30,160 Speaker 4: bad time to rotate into Europe. On a relative basis, 178 00:08:30,240 --> 00:08:32,800 Speaker 4: US usually always does better over the summer than Europe. 179 00:08:32,840 --> 00:08:35,319 Speaker 4: But you know, it's probably to say that maybe the 180 00:08:35,360 --> 00:08:38,520 Speaker 4: ourperformance is a little bit stretched from European over the US, 181 00:08:38,600 --> 00:08:40,480 Speaker 4: so that just tends the meaner vert a little bit. 182 00:08:41,240 --> 00:08:44,800 Speaker 4: So I think there's a lot of all like narratives 183 00:08:44,800 --> 00:08:46,880 Speaker 4: now to support a little bit of rotation back into 184 00:08:46,920 --> 00:08:49,319 Speaker 4: the US. I bet you we could see European investors 185 00:08:49,440 --> 00:08:51,480 Speaker 4: rotate back into the US even locally. 186 00:08:59,200 --> 00:09:03,320 Speaker 1: Okay, another thing that's been wiplash inducing has been the 187 00:09:03,360 --> 00:09:06,240 Speaker 1: bond market. Is well, you wrote about that recently. What 188 00:09:06,640 --> 00:09:07,440 Speaker 1: is that story about. 189 00:09:08,080 --> 00:09:10,600 Speaker 3: It's about TLT. So it's I shares twenty plus year 190 00:09:11,240 --> 00:09:14,360 Speaker 3: bond ETF. It's the biggest long bond ETF, and it's 191 00:09:14,400 --> 00:09:16,800 Speaker 3: known as a widow maker. So widow maker in market 192 00:09:16,840 --> 00:09:19,440 Speaker 3: terms means that it's a trade that could lead to 193 00:09:19,480 --> 00:09:23,280 Speaker 3: potentially catastrophic losses. And I must credit Athanasius here because 194 00:09:23,320 --> 00:09:25,520 Speaker 3: he did write a note about TLT that made me 195 00:09:25,559 --> 00:09:28,080 Speaker 3: realize that, you know what it did actually see in 196 00:09:28,120 --> 00:09:31,200 Speaker 3: a one week time horizon, the most inflows over one 197 00:09:31,240 --> 00:09:33,839 Speaker 3: week out of all the more than six hundred ETFs 198 00:09:34,120 --> 00:09:38,200 Speaker 3: fixed income ETFs that Bloomberg track. So you follow the flow, 199 00:09:38,240 --> 00:09:40,240 Speaker 3: at least for us, because price tells you a different thing. 200 00:09:40,240 --> 00:09:43,240 Speaker 3: But flows show conviction. And then it's interesting because people 201 00:09:43,280 --> 00:09:46,240 Speaker 3: have really been piling into this trade even if but. 202 00:09:46,200 --> 00:09:48,439 Speaker 1: You got to get the timing right otherwise it'syeah, widow. 203 00:09:48,160 --> 00:09:51,080 Speaker 3: Maker, yes, and it hasn't been right for them until 204 00:09:51,320 --> 00:09:54,640 Speaker 3: one day when we saw really the bonds rallied and 205 00:09:54,679 --> 00:09:57,440 Speaker 3: so that was a rare payday for those investors. And 206 00:09:57,520 --> 00:10:00,640 Speaker 3: so for that time, at least for this brief moment, 207 00:10:00,760 --> 00:10:02,760 Speaker 3: TLT wasn't a widow maker those. 208 00:10:02,559 --> 00:10:05,640 Speaker 1: Long dated bonds at the Nastia's like, what else have 209 00:10:05,720 --> 00:10:06,960 Speaker 1: you all been watching on that front? 210 00:10:07,160 --> 00:10:09,480 Speaker 4: The thing that I find really interesting with TLT, I 211 00:10:09,480 --> 00:10:12,480 Speaker 4: feel like it's a very institutional vehicle. So I don't 212 00:10:12,480 --> 00:10:14,560 Speaker 4: know if it's just this mindset of like trying to 213 00:10:14,559 --> 00:10:16,880 Speaker 4: fight the FED and like outsmart the FED and there's 214 00:10:16,920 --> 00:10:18,080 Speaker 4: like something about that. 215 00:10:18,640 --> 00:10:19,640 Speaker 1: But there is. 216 00:10:19,720 --> 00:10:22,720 Speaker 4: Fifty billion or so in the CTF and it's done 217 00:10:22,760 --> 00:10:24,200 Speaker 4: nothing for like three years. 218 00:10:24,280 --> 00:10:25,480 Speaker 1: It's just sort of treaded water. 219 00:10:25,520 --> 00:10:27,600 Speaker 4: So you have like fifty billions sitting in the CTF 220 00:10:27,640 --> 00:10:30,120 Speaker 4: that hasn't really moved a lot. 221 00:10:30,280 --> 00:10:31,560 Speaker 1: But it's one of those things. 222 00:10:31,600 --> 00:10:33,280 Speaker 4: I think people want to get it right, and this 223 00:10:33,320 --> 00:10:35,840 Speaker 4: is why they've literally been trying for three years. And 224 00:10:35,880 --> 00:10:37,839 Speaker 4: most of the flows have come in the last three years. 225 00:10:37,920 --> 00:10:40,079 Speaker 4: It was only about fifteen billion or so in twenty 226 00:10:40,120 --> 00:10:42,640 Speaker 4: twenty two, and now it's fifty, like I mentioned. But 227 00:10:44,040 --> 00:10:46,040 Speaker 4: I think it's even just a bigger story about bonds 228 00:10:46,080 --> 00:10:47,800 Speaker 4: and like what they've sort of done for you in 229 00:10:47,840 --> 00:10:50,600 Speaker 4: the last couple of years. Nothing, yeah, nothing, yeah? And 230 00:10:51,360 --> 00:10:54,200 Speaker 4: does it make sense to keep allocating to them? 231 00:10:54,280 --> 00:10:54,400 Speaker 1: Right? 232 00:10:54,400 --> 00:10:57,480 Speaker 4: We always talk about sixty forty and whatnot, and you're 233 00:10:57,520 --> 00:10:59,640 Speaker 4: earning the same yield as you would in like a bill, 234 00:10:59,640 --> 00:11:02,640 Speaker 4: which is really short term treasury ETF. Obviously you're not 235 00:11:02,640 --> 00:11:05,720 Speaker 4: getting the price movement if the FED cuts or whatnot. 236 00:11:05,760 --> 00:11:08,320 Speaker 4: But I think it just opens up a much bigger 237 00:11:08,400 --> 00:11:10,560 Speaker 4: question about what, you know, what a bonds do for you. 238 00:11:10,960 --> 00:11:14,240 Speaker 3: I think TLT fell around forty in the past five years, 239 00:11:14,240 --> 00:11:17,400 Speaker 3: but it gathered like fifty billion of endflows. 240 00:11:17,800 --> 00:11:20,320 Speaker 2: This to me, this ETF is for people who like 241 00:11:20,400 --> 00:11:24,640 Speaker 2: to overthink things, like you're playing forty chess with the Fed. 242 00:11:24,720 --> 00:11:27,800 Speaker 2: You're like, no, but then we're gonna get an economic number. 243 00:11:28,240 --> 00:11:30,920 Speaker 2: It's gonna say this the Fed will have to blink. 244 00:11:31,120 --> 00:11:33,240 Speaker 2: Rates will go down, TLT goes up. And it's like 245 00:11:33,280 --> 00:11:36,720 Speaker 2: that meme with Zach gal Galfanakis with all the formulas. 246 00:11:37,320 --> 00:11:40,960 Speaker 2: To me, that's who buys TLT. Okay, it's not regular people. 247 00:11:41,960 --> 00:11:44,240 Speaker 2: Regular people are buying es GOV, which is so much 248 00:11:44,280 --> 00:11:47,360 Speaker 2: more of a no brainer, basically, no duration risks. You're 249 00:11:47,360 --> 00:11:51,120 Speaker 2: at one one to three month treasuries yields the same almost, 250 00:11:51,280 --> 00:11:54,040 Speaker 2: so you must We'll clip that coupon with no duration risk. 251 00:11:54,520 --> 00:11:57,480 Speaker 2: But that's again the TLT people are playing like a 252 00:11:57,480 --> 00:12:00,800 Speaker 2: whole game. It's like a risk or something on it 253 00:12:01,679 --> 00:12:03,920 Speaker 2: thing going on over there. It's like the further out 254 00:12:03,960 --> 00:12:06,000 Speaker 2: on the curve you go the bigger brain that. 255 00:12:05,960 --> 00:12:10,119 Speaker 3: People get nice image. But to your point, bond investors 256 00:12:10,120 --> 00:12:13,120 Speaker 3: have actually been demanding extra compensation for the risk of 257 00:12:13,160 --> 00:12:16,520 Speaker 3: holding long duration bonds. I think Bloomberg usually refers to 258 00:12:16,559 --> 00:12:19,320 Speaker 3: the US ten year term premium, so an inch closer 259 00:12:19,320 --> 00:12:21,720 Speaker 3: to one percent. That's the highest level in at least 260 00:12:21,760 --> 00:12:22,479 Speaker 3: a decade. 261 00:12:22,679 --> 00:12:25,200 Speaker 1: And the issuance of those long dated bonds have been 262 00:12:25,240 --> 00:12:27,400 Speaker 1: falling off too. Haven't been seeing that. 263 00:12:28,160 --> 00:12:30,880 Speaker 2: But again, this is another thing where again I feel 264 00:12:30,880 --> 00:12:33,680 Speaker 2: like the media kinda was like Oh my god, Moody's 265 00:12:34,000 --> 00:12:38,240 Speaker 2: downgraded the US. It's all over, see what's happening? And 266 00:12:38,320 --> 00:12:40,920 Speaker 2: like honestly, yields when up for a minute like and 267 00:12:41,000 --> 00:12:43,680 Speaker 2: that then they fell again, like they've been around five 268 00:12:43,679 --> 00:12:46,720 Speaker 2: percent four percent for like a long time. Nothing, there's 269 00:12:46,760 --> 00:12:48,000 Speaker 2: nothing really going on. 270 00:12:49,400 --> 00:12:52,040 Speaker 3: The media is just here, Eric, I know, well I was. 271 00:12:52,160 --> 00:12:54,640 Speaker 2: I was talking to other colleagues earlier. I used to 272 00:12:54,640 --> 00:12:58,200 Speaker 2: work at a derivatives monitor my first job out of school, 273 00:12:58,840 --> 00:13:00,320 Speaker 2: and I remember the guy'd be like, I had to 274 00:13:00,320 --> 00:13:03,040 Speaker 2: call traders and like's find out what happened that day. 275 00:13:03,040 --> 00:13:05,840 Speaker 2: And I'd be like, okay, like the something move like 276 00:13:05,840 --> 00:13:08,280 Speaker 2: twenty basis points and he's like, well why, and I'm 277 00:13:08,280 --> 00:13:10,400 Speaker 2: like they don't know, and he's like, you, there has 278 00:13:10,480 --> 00:13:13,320 Speaker 2: to be a reason. So there's like this pressure to 279 00:13:13,400 --> 00:13:17,840 Speaker 2: like come up with a reason for everything, and you know, 280 00:13:17,320 --> 00:13:19,800 Speaker 2: you gotta get the clicks. I get it. 281 00:13:19,840 --> 00:13:22,240 Speaker 1: But if you can tell the story of the market 282 00:13:22,400 --> 00:13:25,240 Speaker 1: through one etf right now, what do you think it is? 283 00:13:25,760 --> 00:13:30,360 Speaker 2: Vou sixty four billion dollars year to date, it's kind 284 00:13:30,360 --> 00:13:33,559 Speaker 2: of that's the influence. Yeah, Because I do find this 285 00:13:33,679 --> 00:13:36,160 Speaker 2: juxtabsition interesting and I've always found it interesting. And this 286 00:13:36,200 --> 00:13:39,480 Speaker 2: is well beyond Trump or the president, but just in general, 287 00:13:39,840 --> 00:13:43,160 Speaker 2: when something bad happens and there's like this, because again, 288 00:13:43,360 --> 00:13:45,679 Speaker 2: let's face it, when there's negative news, you get more 289 00:13:45,679 --> 00:13:48,640 Speaker 2: clicks on your stuff. It's just like, it's just the fact. 290 00:13:48,720 --> 00:13:50,760 Speaker 2: It's like the Weather Channel when there's a hurricane. You 291 00:13:50,800 --> 00:13:52,480 Speaker 2: know how they pump up hurricanes. 292 00:13:52,800 --> 00:13:54,679 Speaker 1: Hurricane seasons basically upon us. 293 00:13:54,760 --> 00:13:57,600 Speaker 2: Yeah, but I get it. I do it too. I'm 294 00:13:57,600 --> 00:14:00,440 Speaker 2: guilty as well. But at the same time, the VU 295 00:14:00,559 --> 00:14:05,440 Speaker 2: investor doesn't care. And it's interesting to see this immovable 296 00:14:05,480 --> 00:14:08,760 Speaker 2: object against this big force of the headlines, and they're 297 00:14:08,800 --> 00:14:12,160 Speaker 2: just like, you cannot shake these VU investors. And this 298 00:14:12,280 --> 00:14:15,080 Speaker 2: year VU is on track to break the old record 299 00:14:15,080 --> 00:14:18,440 Speaker 2: by fifty percent, which is set last year. So VU 300 00:14:18,559 --> 00:14:21,080 Speaker 2: being this steamroller of like I don't really care what 301 00:14:21,120 --> 00:14:24,200 Speaker 2: you're saying, or what anybody's saying, even the President. I'm 302 00:14:24,240 --> 00:14:28,280 Speaker 2: just gonna buy us thoughts like nothing can scare me, 303 00:14:28,480 --> 00:14:32,520 Speaker 2: is fascinating to me. That's a big story. Not every 304 00:14:32,560 --> 00:14:35,400 Speaker 2: single thing on earth bought like VOO did, but VU 305 00:14:35,520 --> 00:14:39,120 Speaker 2: is symbolic. I thought of this idea of I think 306 00:14:39,160 --> 00:14:41,560 Speaker 2: a lot of investors would come up with a couple 307 00:14:41,680 --> 00:14:43,920 Speaker 2: truths that they just truly believe in. Number One, they 308 00:14:43,920 --> 00:14:46,120 Speaker 2: think they can't time the market. They've tried and they failed, 309 00:14:46,120 --> 00:14:48,000 Speaker 2: and they're like, I can't do it. No one can, 310 00:14:48,120 --> 00:14:50,760 Speaker 2: even the experts fail, So I'm not gonna do it. 311 00:14:51,240 --> 00:14:53,360 Speaker 2: Number two, they're like, I can never get a better 312 00:14:53,400 --> 00:14:56,640 Speaker 2: deal than VU three basis points for the entire US market, 313 00:14:56,840 --> 00:14:59,080 Speaker 2: so I don't need to change funds, So I'm not 314 00:14:59,120 --> 00:15:02,440 Speaker 2: getting out for that reason. And number three, the US 315 00:15:02,520 --> 00:15:06,360 Speaker 2: stock market kicks ass. I'm not going to trade in Amazon, Apple, 316 00:15:06,880 --> 00:15:11,800 Speaker 2: and Microsoft for like HSBC and Nesley, No thanks, And so. 317 00:15:12,040 --> 00:15:14,440 Speaker 1: Those eslie chocolate does taste better? I agree with you. 318 00:15:15,480 --> 00:15:17,080 Speaker 2: I think a lot of them have maybe ten percent 319 00:15:17,160 --> 00:15:20,160 Speaker 2: in international, like they don't. They're not devoid international, But 320 00:15:20,200 --> 00:15:23,320 Speaker 2: this idea of like selling America or the end of 321 00:15:23,320 --> 00:15:26,320 Speaker 2: the exceptionalism, I just think that those three things I 322 00:15:26,440 --> 00:15:30,600 Speaker 2: just said are truths that create the immovable object of 323 00:15:30,640 --> 00:15:34,280 Speaker 2: those flows, and I think they're underrated by people who 324 00:15:34,280 --> 00:15:36,760 Speaker 2: are trying to call the markets. And I think a 325 00:15:36,760 --> 00:15:41,000 Speaker 2: lot of people have gotten to that point with their investing, 326 00:15:41,640 --> 00:15:44,640 Speaker 2: and this year it's just going to embolden that because 327 00:15:44,680 --> 00:15:46,920 Speaker 2: the rally back just reminded them I did the right 328 00:15:46,920 --> 00:15:48,080 Speaker 2: thing by not panicking. 329 00:15:48,960 --> 00:15:51,120 Speaker 3: Voo is hard to beat, actually, but I was a 330 00:15:51,280 --> 00:15:53,760 Speaker 3: small part of me was preparing for you to say ibit, 331 00:15:54,000 --> 00:15:56,080 Speaker 3: because not only do you tweet about it every day, 332 00:15:56,360 --> 00:15:59,320 Speaker 3: but also I think the ibit is just indicative of 333 00:15:59,360 --> 00:16:03,800 Speaker 3: the this staunchness or the conviction of traders to really 334 00:16:03,840 --> 00:16:07,120 Speaker 3: just plow money into this new bitcoin fund or I 335 00:16:07,120 --> 00:16:10,520 Speaker 3: guess it's not so new now anymore. And recently we 336 00:16:10,600 --> 00:16:13,400 Speaker 3: saw everything whiplash, but Crypto was the adult in the room, 337 00:16:13,560 --> 00:16:14,440 Speaker 3: so that was the story. 338 00:16:14,520 --> 00:16:18,000 Speaker 2: We also wrote real quick on ibit. It is the 339 00:16:18,040 --> 00:16:21,600 Speaker 2: second flow getting ETF in the past six weeks after 340 00:16:21,720 --> 00:16:26,280 Speaker 2: Voo nine billion. It's on a crazy run. Interesting about ibit, 341 00:16:26,360 --> 00:16:28,920 Speaker 2: in my opinion. I was on stage with Robbie Mitchnick 342 00:16:28,960 --> 00:16:31,840 Speaker 2: from Blackrock in Dubai at a thing called Token twenty 343 00:16:31,880 --> 00:16:34,960 Speaker 2: forty nine. Fifteen thousand people at this thing, average age 344 00:16:35,000 --> 00:16:37,800 Speaker 2: Joal twenty eight. Like I was like the old grandpa 345 00:16:37,960 --> 00:16:40,200 Speaker 2: the ors. My kid would say, unk, that's the new 346 00:16:40,280 --> 00:16:43,440 Speaker 2: term for old head. Anyway, I'm unking out there and 347 00:16:43,480 --> 00:16:45,480 Speaker 2: I'm on stage with other unks right with the trad 348 00:16:45,520 --> 00:16:49,280 Speaker 2: five panel, and Robbie says that when bitcoin decoupled and 349 00:16:49,320 --> 00:16:52,360 Speaker 2: went like a different direction than spy, he got incoming 350 00:16:52,400 --> 00:16:56,080 Speaker 2: calls from big fish, big institutions. So I think bitcoin's 351 00:16:56,080 --> 00:17:00,040 Speaker 2: in this nice place right now with regulatory headwinds gone, 352 00:17:00,120 --> 00:17:02,560 Speaker 2: and as it starts the lower in volatility and get 353 00:17:02,680 --> 00:17:05,760 Speaker 2: more less correlated than to the market, it will get 354 00:17:05,800 --> 00:17:09,200 Speaker 2: bigger investors who are more stable, which will ultimately help 355 00:17:09,240 --> 00:17:10,439 Speaker 2: it look more like gold too. 356 00:17:10,520 --> 00:17:10,880 Speaker 1: He says. 357 00:17:10,920 --> 00:17:14,040 Speaker 2: These giant investors are not interested in tech stock returns. 358 00:17:14,080 --> 00:17:17,040 Speaker 2: They want like digital gold. So everybody's kind of waiting 359 00:17:17,080 --> 00:17:19,240 Speaker 2: for bitcoin to kind of mature and act more like 360 00:17:19,280 --> 00:17:22,240 Speaker 2: an adult and not like a teenager. And as it is, 361 00:17:22,320 --> 00:17:23,840 Speaker 2: and you can see it in the ball coming down, 362 00:17:24,600 --> 00:17:27,280 Speaker 2: they're going to get bigger investments. And IBIT, to me, 363 00:17:27,840 --> 00:17:30,159 Speaker 2: is the one that bit the big fissues. So the 364 00:17:30,200 --> 00:17:32,680 Speaker 2: fact that ibit has taken ninety percent of the hall 365 00:17:32,880 --> 00:17:34,960 Speaker 2: of all the other bitcoin ETFs, normally it takes in 366 00:17:34,960 --> 00:17:39,080 Speaker 2: two thirds tells me that the institutional incoming is pretty serious. 367 00:17:39,080 --> 00:17:41,439 Speaker 2: Not to mention all the corporations you see adding it 368 00:17:41,440 --> 00:17:44,480 Speaker 2: to the balance sheet, a couple governments, it could get 369 00:17:44,480 --> 00:17:48,320 Speaker 2: pretty crazy. I think we're entering this like true financialization 370 00:17:48,359 --> 00:17:50,520 Speaker 2: of Bitcoin. There will be a point where it peaks 371 00:17:50,560 --> 00:17:52,159 Speaker 2: out and then maybe it goes down. I don't know what, 372 00:17:52,320 --> 00:17:55,880 Speaker 2: but there feels like there's like three or four positive 373 00:17:55,960 --> 00:17:58,960 Speaker 2: narratives and not a lot negative. And especially with the 374 00:17:58,960 --> 00:18:03,119 Speaker 2: stock market being placid, it's hard to see much in 375 00:18:03,160 --> 00:18:04,920 Speaker 2: the way. But we have a phrase on the team. 376 00:18:05,280 --> 00:18:07,080 Speaker 2: I just don't see the bear case, which is like 377 00:18:07,080 --> 00:18:11,360 Speaker 2: famous last words. So I say that knowing that that's 378 00:18:11,440 --> 00:18:12,359 Speaker 2: probably a bad side. 379 00:18:13,000 --> 00:18:16,280 Speaker 1: I think that's a fitting place to end. So, Isabelle, 380 00:18:17,400 --> 00:18:18,640 Speaker 1: thanks for joining us at trillions. 381 00:18:19,200 --> 00:18:20,119 Speaker 4: Yeah, thanks for having me on. 382 00:18:20,320 --> 00:18:21,440 Speaker 3: Thank you that was really fun. 383 00:18:27,520 --> 00:18:30,080 Speaker 1: Thanks for listening to Trillions until next time. You can 384 00:18:30,119 --> 00:18:34,480 Speaker 1: find us on the Bloomberg terminal, Bloomberg dot com, Apple Podcasts, Spotify, 385 00:18:35,040 --> 00:18:37,080 Speaker 1: or wherever else you'd like to listen. We'd love to 386 00:18:37,119 --> 00:18:39,240 Speaker 1: hear from you. Hit us up on social I'm at 387 00:18:39,320 --> 00:18:42,800 Speaker 1: Joel Weber Show, He's at Eric Pulcini's. Trillions is produced 388 00:18:42,840 --> 00:18:46,760 Speaker 1: by Magnus Hendrickson. Brendan Newman is our executive producer. Sage 389 00:18:46,760 --> 00:18:48,680 Speaker 1: Bauman is the head of Bloomberg Podcast