1 00:00:07,160 --> 00:00:14,480 Speaker 1: Welcome to Trilliance. I'm Joel Weber and I'm Eric val Tunis. Eric. 2 00:00:14,480 --> 00:00:18,439 Speaker 1: I'm recording in my closet again. I'm in my home office, 3 00:00:18,480 --> 00:00:22,439 Speaker 1: so you may hear uh yeah, you could hear some 4 00:00:22,520 --> 00:00:24,960 Speaker 1: noises downstairs. Um. You know, we have a four year 5 00:00:24,960 --> 00:00:26,840 Speaker 1: old and nine year old. Every now and then they 6 00:00:26,840 --> 00:00:30,240 Speaker 1: get into it, but um, hopefully quiet. Speaking of which, 7 00:00:30,240 --> 00:00:34,240 Speaker 1: how are you holding up good? I looked like Tom 8 00:00:34,280 --> 00:00:37,440 Speaker 1: hankson cast Away rate when he discovered fire. Not quite 9 00:00:37,680 --> 00:00:42,800 Speaker 1: you know, when he's spear fishing. But halfway through next week. Yeah, yeah, 10 00:00:42,840 --> 00:00:45,519 Speaker 1: that's that's like end of April, I think. But I 11 00:00:45,960 --> 00:00:48,760 Speaker 1: feel good. I you know, we're all healthy. We're just 12 00:00:48,840 --> 00:00:51,920 Speaker 1: getting little cabin fever here that that beard looks healthy. Yeah. 13 00:00:52,080 --> 00:00:53,680 Speaker 1: We have a four year old as well, and the 14 00:00:53,720 --> 00:00:55,720 Speaker 1: four year old and the and the dog who a 15 00:00:55,760 --> 00:00:59,040 Speaker 1: puppy who's one year old, both of which are testing 16 00:00:59,200 --> 00:01:02,240 Speaker 1: our sanity. It good to see you, and um, I'm 17 00:01:02,240 --> 00:01:04,000 Speaker 1: really excited to talk to you about what's been going 18 00:01:04,040 --> 00:01:07,399 Speaker 1: on in in e t f Land of late. We'll 19 00:01:07,440 --> 00:01:11,360 Speaker 1: bring in Tom saraphagus Um also in Bloomberg Intelligence with you, 20 00:01:11,880 --> 00:01:14,120 Speaker 1: and we're gonna kind of get a rundown of what's 21 00:01:14,120 --> 00:01:16,920 Speaker 1: been going on. Yeah, so let me give you insight 22 00:01:16,959 --> 00:01:21,720 Speaker 1: into our research team. So, um, we have two continuous 23 00:01:21,800 --> 00:01:24,000 Speaker 1: chats going on. One on an IB which is the 24 00:01:24,040 --> 00:01:29,280 Speaker 1: Bloomberg terminal chat with me, Tom Morgan, and James. That's 25 00:01:29,280 --> 00:01:32,520 Speaker 1: our four person team. And then we have a chat 26 00:01:32,560 --> 00:01:34,840 Speaker 1: on Twitter in d M where we're throwing in people's 27 00:01:34,840 --> 00:01:38,040 Speaker 1: tweets saying this is interesting, should we cover it? And 28 00:01:38,319 --> 00:01:40,959 Speaker 1: I don't think both the chat rooms are as busy 29 00:01:40,959 --> 00:01:44,080 Speaker 1: as as they've ever been. Um, even though we're we're 30 00:01:44,080 --> 00:01:47,000 Speaker 1: all working from home and it's surreal and the streets 31 00:01:47,000 --> 00:01:49,960 Speaker 1: are empty, we are as busy as we've ever been 32 00:01:50,040 --> 00:01:53,040 Speaker 1: because of the sell off, because of e t s 33 00:01:53,080 --> 00:01:55,640 Speaker 1: tend to be in the middle of this. They're so visible. 34 00:01:55,720 --> 00:01:59,520 Speaker 1: Everybody talks about them. There's it just basically sell offs 35 00:01:59,560 --> 00:02:01,760 Speaker 1: or rough your portfolio. But if you're in the business 36 00:02:01,840 --> 00:02:04,880 Speaker 1: of content, they're they're actually very good because there's so 37 00:02:04,960 --> 00:02:07,040 Speaker 1: much to write about and talk about now. So we're 38 00:02:07,080 --> 00:02:09,920 Speaker 1: we're very busy and those chats are very busy. And uh, 39 00:02:09,960 --> 00:02:12,440 Speaker 1: you know, it's good to get Tom on because he 40 00:02:12,680 --> 00:02:14,920 Speaker 1: is he's been in He's a guy who's been in 41 00:02:14,919 --> 00:02:17,680 Speaker 1: the industry as an issuer and at an exchange, and 42 00:02:17,760 --> 00:02:19,520 Speaker 1: he's very good about bringing in some of that to 43 00:02:19,560 --> 00:02:22,760 Speaker 1: our discussion. And it's a perfect time because we're literally 44 00:02:22,800 --> 00:02:26,960 Speaker 1: we just saw like one of the most catastrophic quarters 45 00:02:27,000 --> 00:02:29,840 Speaker 1: in investing history and we're at the beginning of Q two. 46 00:02:30,120 --> 00:02:32,120 Speaker 1: By the way, Eric, I feel like you've been a 47 00:02:32,120 --> 00:02:35,600 Speaker 1: little tone deaf just on how bad the virus is. 48 00:02:36,480 --> 00:02:39,200 Speaker 1: Uh and uh, you know, I wanna just you know, 49 00:02:39,280 --> 00:02:41,480 Speaker 1: straight up ask you, like, do you think the return 50 00:02:41,520 --> 00:02:45,200 Speaker 1: to normal is going to happen in April? Um? Yeah, 51 00:02:45,240 --> 00:02:47,200 Speaker 1: I have on the podcast where we had the guy 52 00:02:47,240 --> 00:02:49,240 Speaker 1: from the bio thread E T f on, I think 53 00:02:49,320 --> 00:02:51,760 Speaker 1: I said my fear level was like point five out 54 00:02:51,760 --> 00:02:56,320 Speaker 1: of ten or something. Yeah, among the words yeah, you know. Um. 55 00:02:56,480 --> 00:02:58,760 Speaker 1: I even got crap from my mom. She said, you're 56 00:02:59,040 --> 00:03:02,400 Speaker 1: you sounded glit. You're not taking this seriously enough. That's 57 00:03:02,440 --> 00:03:04,760 Speaker 1: when you know you probably went too far. Um. But 58 00:03:04,800 --> 00:03:07,080 Speaker 1: at the time, I don't know, I just um, I 59 00:03:07,160 --> 00:03:08,840 Speaker 1: was kind of in the It's like when your mom 60 00:03:08,840 --> 00:03:10,760 Speaker 1: tells you you're an idiot. Yeah, I would say that 61 00:03:10,840 --> 00:03:14,880 Speaker 1: you've gone too far. But I think what really turned 62 00:03:14,880 --> 00:03:18,239 Speaker 1: me around is the obviously death there's the death rates 63 00:03:18,320 --> 00:03:20,520 Speaker 1: higher than in the flu. And also, um, you know, 64 00:03:20,520 --> 00:03:22,799 Speaker 1: when you think of elders like my mom, it really 65 00:03:22,840 --> 00:03:25,960 Speaker 1: hits home. And I think I've definitely come around that said, 66 00:03:26,639 --> 00:03:30,040 Speaker 1: I still think it's you know, May. I don't know. 67 00:03:30,040 --> 00:03:32,640 Speaker 1: I've hear people say June. I still feel somewhat optimistic. 68 00:03:32,639 --> 00:03:35,440 Speaker 1: And I'm just gonna do my part as a citizen 69 00:03:35,520 --> 00:03:38,000 Speaker 1: and stop. I'm not commenting on it anymore. I don't 70 00:03:38,000 --> 00:03:40,160 Speaker 1: know enough. I just lay off it. I'm just gonna 71 00:03:40,200 --> 00:03:42,880 Speaker 1: do my part as a citizen and you know, uh 72 00:03:43,120 --> 00:03:47,760 Speaker 1: say six six ft away from people and watch Netflix 73 00:03:51,880 --> 00:03:57,160 Speaker 1: this time on trillions Takeaways from the Carnage, Tom, welcome 74 00:03:57,200 --> 00:04:01,040 Speaker 1: back to Trillions. How's London, man, Yeah, London is great. Um, 75 00:04:01,080 --> 00:04:03,760 Speaker 1: you know, we're obviously on lockdown like the rest of 76 00:04:03,800 --> 00:04:06,720 Speaker 1: the world, but London's going going great. It's been like 77 00:04:06,760 --> 00:04:08,600 Speaker 1: a full year I think since the last time I 78 00:04:08,640 --> 00:04:11,720 Speaker 1: was on so one thing in New York. Um, I 79 00:04:11,760 --> 00:04:15,080 Speaker 1: live in Brooklyn. I can get to go cocktails at 80 00:04:15,120 --> 00:04:17,159 Speaker 1: a couple of places. For off, can you get to 81 00:04:17,160 --> 00:04:21,120 Speaker 1: go pintes anywhere? Uh? But you can't. But luckily all 82 00:04:21,160 --> 00:04:24,679 Speaker 1: the regular bodegas here or the Superman could sell beer, 83 00:04:24,720 --> 00:04:26,400 Speaker 1: so it's really easy to be able to get uh, 84 00:04:26,560 --> 00:04:28,680 Speaker 1: and not only beer, they sell hard liquor too, so 85 00:04:29,680 --> 00:04:31,960 Speaker 1: fully stocked and I'm looking for you, so you're good. 86 00:04:32,560 --> 00:04:36,520 Speaker 1: The clubs are closed though, right, yeah, clubs are closed. Um, 87 00:04:37,000 --> 00:04:39,000 Speaker 1: they've got like a little bow speaker, So I just 88 00:04:39,240 --> 00:04:45,000 Speaker 1: recreate my own clubs here by yourself. Okay, the Tom 89 00:04:45,040 --> 00:04:49,440 Speaker 1: dance party. Okay, well maybe I'll ask to see that later, um, Eric, 90 00:04:49,480 --> 00:04:51,120 Speaker 1: But there's about five topics I want to hit on 91 00:04:51,160 --> 00:04:55,960 Speaker 1: in this episode. Number one is the FED. Yeah, so 92 00:04:56,120 --> 00:04:59,000 Speaker 1: my initial takeaway is, you know, for about a month there, 93 00:04:59,760 --> 00:05:02,719 Speaker 1: every anything was just brutal uh in the FED step. 94 00:05:02,760 --> 00:05:04,200 Speaker 1: Then a couple of times, you know, they tried a 95 00:05:04,200 --> 00:05:06,839 Speaker 1: couple of things, but we we you know, we look 96 00:05:06,880 --> 00:05:10,000 Speaker 1: at the discount of a bond ETF it's price versus 97 00:05:10,080 --> 00:05:12,240 Speaker 1: n A V as a sort of temperature gauge on 98 00:05:12,320 --> 00:05:14,880 Speaker 1: how a liquid the underlying bond market is. And for 99 00:05:14,960 --> 00:05:17,279 Speaker 1: most of the sell off that was of those discounts 100 00:05:17,279 --> 00:05:19,479 Speaker 1: were there. The FED would come in here and there 101 00:05:19,560 --> 00:05:21,159 Speaker 1: and it would close it for like a day or 102 00:05:21,240 --> 00:05:24,040 Speaker 1: even an hour. But then they go back and it 103 00:05:24,120 --> 00:05:26,680 Speaker 1: just told you that there's just weren't any buyers and 104 00:05:26,920 --> 00:05:30,719 Speaker 1: for bonds, and that was a real problem for everybody. 105 00:05:30,839 --> 00:05:33,480 Speaker 1: Then they came in UM with this sort of bazooka 106 00:05:33,560 --> 00:05:36,920 Speaker 1: approach and just said, you know, we're we're here, We're here, 107 00:05:36,920 --> 00:05:38,599 Speaker 1: We're gonna do whatever it takes. That kind of a 108 00:05:38,640 --> 00:05:42,239 Speaker 1: deal a lot of trillions being used, and that really 109 00:05:42,279 --> 00:05:44,880 Speaker 1: did change things. We saw a lot of those bond 110 00:05:44,880 --> 00:05:49,240 Speaker 1: dislocations come in UM and we also even saw some 111 00:05:49,279 --> 00:05:51,960 Speaker 1: people front run the FED, buying in e t f 112 00:05:52,040 --> 00:05:54,160 Speaker 1: s like l q D. And what was also interesting 113 00:05:54,160 --> 00:05:56,920 Speaker 1: about the FED is two things. Which is, first of all, 114 00:05:56,960 --> 00:06:00,640 Speaker 1: not just that there you know, this powerful dying force 115 00:06:00,800 --> 00:06:02,719 Speaker 1: that's sort of saying we're going to hold the aren't 116 00:06:02,760 --> 00:06:06,000 Speaker 1: the hand of the industry here UM and make sure 117 00:06:06,040 --> 00:06:10,400 Speaker 1: there's liquidity. But they're going to use e t s 118 00:06:10,440 --> 00:06:12,159 Speaker 1: for the first time ever. This is something that Bank 119 00:06:12,200 --> 00:06:15,400 Speaker 1: of Japan has done India, governments elsewhere in the world 120 00:06:15,400 --> 00:06:17,200 Speaker 1: have used the t s as part of their policies. 121 00:06:17,480 --> 00:06:19,040 Speaker 1: This is the first time the FED has done it. 122 00:06:19,040 --> 00:06:22,479 Speaker 1: I think it's somewhat of a credibility moment. I guess 123 00:06:23,040 --> 00:06:25,320 Speaker 1: that they're going to use this. They also said they're 124 00:06:25,320 --> 00:06:28,560 Speaker 1: going to hire Blackrock as an advisor and help all 125 00:06:28,600 --> 00:06:32,320 Speaker 1: of that, all of that, that's huge. Yeah. So so Tom, 126 00:06:32,360 --> 00:06:35,400 Speaker 1: when you think about the FED stepping in and using 127 00:06:35,440 --> 00:06:37,279 Speaker 1: e t f s, you know, what what do e 128 00:06:37,360 --> 00:06:40,200 Speaker 1: t f s have to show right now? Yeah? I 129 00:06:40,240 --> 00:06:43,039 Speaker 1: mean I think in in the main part, when you 130 00:06:43,080 --> 00:06:45,880 Speaker 1: look at everything that's happened, right, I think a lot 131 00:06:45,920 --> 00:06:49,200 Speaker 1: of active funds, oh thanks to e t s. And 132 00:06:49,480 --> 00:06:51,200 Speaker 1: I know that's a bold statement, but if you look 133 00:06:51,200 --> 00:06:53,960 Speaker 1: at et getting a lot of criticism about the discounts, right, 134 00:06:54,000 --> 00:06:55,640 Speaker 1: they were saying, oh x y Z, et F was 135 00:06:55,680 --> 00:06:58,080 Speaker 1: trading at a big discount. But if you actually look 136 00:06:58,200 --> 00:07:00,719 Speaker 1: what was happening with active funds, right, a lot of 137 00:07:00,760 --> 00:07:03,839 Speaker 1: their navs weren't being adjusted downward as fast as they 138 00:07:03,880 --> 00:07:05,920 Speaker 1: were on the e t F, right, which are exchange traded. 139 00:07:06,160 --> 00:07:07,920 Speaker 1: So really what was happening is the e t F 140 00:07:08,080 --> 00:07:11,760 Speaker 1: was signaling potential problems in the underlying market. Right. If 141 00:07:11,760 --> 00:07:13,680 Speaker 1: you were just looking at funds, you would say, oh, 142 00:07:13,720 --> 00:07:15,520 Speaker 1: well things are down, they're not down as much. And 143 00:07:15,520 --> 00:07:16,920 Speaker 1: if you look at the e t F you're like, wow, 144 00:07:16,960 --> 00:07:19,240 Speaker 1: things are down probably a lot more than what some 145 00:07:19,280 --> 00:07:22,440 Speaker 1: of these funds are indicating. So when the FED decided 146 00:07:22,480 --> 00:07:25,120 Speaker 1: to come in and buy e t F and provide liquidity. 147 00:07:25,120 --> 00:07:27,440 Speaker 1: Who I think some of the biggest beneficiaries of that 148 00:07:27,480 --> 00:07:30,320 Speaker 1: we were mutual funds, right because they were just starting 149 00:07:30,360 --> 00:07:33,280 Speaker 1: to see their navs come down um compared to e 150 00:07:33,320 --> 00:07:35,200 Speaker 1: t F that we're settling this maybe a good week 151 00:07:35,280 --> 00:07:37,720 Speaker 1: or so before. So I think that that, you know, 152 00:07:37,760 --> 00:07:40,080 Speaker 1: active funds are a big thanks to the ETS by 153 00:07:40,120 --> 00:07:43,480 Speaker 1: being able to to signal distress a lot sooner than 154 00:07:43,520 --> 00:07:47,320 Speaker 1: they could have. Yeah, and the thing with active mutual 155 00:07:47,360 --> 00:07:51,040 Speaker 1: funds is we look at flows in e t F 156 00:07:51,120 --> 00:07:53,559 Speaker 1: s and they were actually positive in March as a whole. 157 00:07:53,560 --> 00:07:56,520 Speaker 1: But bond ETF did see I think maybe ten billion 158 00:07:56,960 --> 00:08:01,160 Speaker 1: over the month and outflows, but active on mutual funds 159 00:08:01,160 --> 00:08:03,640 Speaker 1: saw a hundred and fifty billion and that was just 160 00:08:03,640 --> 00:08:08,040 Speaker 1: through March, So they destroyed their monthly outflow record and 161 00:08:08,080 --> 00:08:10,200 Speaker 1: the flows were getting worse and worse as the days 162 00:08:10,200 --> 00:08:13,560 Speaker 1: went on, and we think, uh, you know, we we 163 00:08:13,600 --> 00:08:15,600 Speaker 1: don't know exactly what went on, but we think that's 164 00:08:15,600 --> 00:08:18,480 Speaker 1: probably something that FED was looking at because that's a 165 00:08:18,520 --> 00:08:21,080 Speaker 1: lot of money. And those active funds are now going 166 00:08:21,160 --> 00:08:24,040 Speaker 1: to they can't um, they have to sell the bonds 167 00:08:24,080 --> 00:08:27,000 Speaker 1: into a market where nobody wants them, so that actually 168 00:08:27,040 --> 00:08:28,920 Speaker 1: added to pressure, and then the e t F is 169 00:08:28,960 --> 00:08:32,080 Speaker 1: downstream from that because all that selling pressure makes it 170 00:08:32,080 --> 00:08:35,199 Speaker 1: harder to do arbitrage and the et F discount grows. 171 00:08:35,240 --> 00:08:39,320 Speaker 1: So if if this the FED UH definitely helped ETFs, 172 00:08:39,360 --> 00:08:42,679 Speaker 1: but they may have saved active mutual funds the bond side, 173 00:08:42,679 --> 00:08:45,800 Speaker 1: because think about it, if the if they get to 174 00:08:45,840 --> 00:08:47,599 Speaker 1: sell bonds where there's no buyers, they're gonna have to 175 00:08:47,640 --> 00:08:49,640 Speaker 1: take bad prices. That's going to ratch it down the 176 00:08:49,720 --> 00:08:53,199 Speaker 1: NAP further make their performance worse and probably trigger more outflows. 177 00:08:53,679 --> 00:08:58,200 Speaker 1: That creates this sort of doom loop illiquidity doom loop 178 00:08:58,240 --> 00:09:00,120 Speaker 1: that people sometimes tie with e t f s. I 179 00:09:00,160 --> 00:09:02,800 Speaker 1: think that was potentially about to happen with some mutual funds. 180 00:09:02,840 --> 00:09:04,840 Speaker 1: We saw a couple where there ana went from ten 181 00:09:04,880 --> 00:09:07,080 Speaker 1: dollars to three dollars in a matter of a couple 182 00:09:07,120 --> 00:09:09,360 Speaker 1: of days. Although those were in since some exotic stuff, 183 00:09:09,400 --> 00:09:11,200 Speaker 1: but they were kind of canaries in the coal mine. 184 00:09:11,280 --> 00:09:15,200 Speaker 1: So UM, I agree with Tom that mutual funds just 185 00:09:15,200 --> 00:09:18,439 Speaker 1: just less attention paid to them, but they're way bigger, 186 00:09:18,600 --> 00:09:22,200 Speaker 1: and I think they're the ones that really UH probably 187 00:09:22,200 --> 00:09:25,360 Speaker 1: the biggest winner from the FED bailout. And what do 188 00:09:25,400 --> 00:09:27,559 Speaker 1: you think of black Rock? I mean, this seems like 189 00:09:27,640 --> 00:09:29,520 Speaker 1: a conflict of interest, right, How how are they going 190 00:09:29,559 --> 00:09:33,360 Speaker 1: to navigate this? Look? I think, um, black Rock has 191 00:09:33,640 --> 00:09:36,240 Speaker 1: to be very careful here not to look like there's 192 00:09:36,280 --> 00:09:38,560 Speaker 1: conflict of interest. They've come out and said they're not 193 00:09:38,559 --> 00:09:41,160 Speaker 1: going they're gonna wave the fee for any FED money 194 00:09:41,160 --> 00:09:43,839 Speaker 1: that buys LQD or whatever e t f s. The 195 00:09:43,880 --> 00:09:45,480 Speaker 1: other thing is you gotta remember the FED. I mean, 196 00:09:45,520 --> 00:09:47,480 Speaker 1: how much are they putting in two trillion or something. 197 00:09:47,480 --> 00:09:50,520 Speaker 1: It's the amount that they could possibly uses. I think 198 00:09:50,520 --> 00:09:53,720 Speaker 1: the account they're going to use to buy bonds and 199 00:09:53,840 --> 00:09:55,720 Speaker 1: e t f s is in the billions, and I 200 00:09:55,760 --> 00:09:59,240 Speaker 1: think I think we whittled it down to it's possible 201 00:09:59,280 --> 00:10:01,120 Speaker 1: a couple billion and get used on the e t 202 00:10:01,240 --> 00:10:04,600 Speaker 1: f So we're talking, uh, speck of sand relative to 203 00:10:04,640 --> 00:10:08,000 Speaker 1: their buying power and what they might ultimately buy. I 204 00:10:08,040 --> 00:10:10,079 Speaker 1: think e t s they just wanted in the arsenal, 205 00:10:10,320 --> 00:10:12,280 Speaker 1: so something they can do, and black Rock will have 206 00:10:12,320 --> 00:10:15,040 Speaker 1: to be careful. They've done taken those steps to say, 207 00:10:15,040 --> 00:10:16,400 Speaker 1: you know, we're not going to take fees if the 208 00:10:16,480 --> 00:10:20,000 Speaker 1: FED buys our fund Um, and they'll have to make 209 00:10:20,000 --> 00:10:21,880 Speaker 1: sure they keep doing that because a lot of people are, 210 00:10:21,960 --> 00:10:24,480 Speaker 1: you know, kind of out there saying that, how could 211 00:10:24,559 --> 00:10:27,880 Speaker 1: the FED have the biggest asset manager. Uh, we're you know, 212 00:10:28,000 --> 00:10:29,640 Speaker 1: be so tied with him. And then the people point 213 00:10:29,679 --> 00:10:31,440 Speaker 1: to two thousand and eight and say this, this is 214 00:10:31,440 --> 00:10:33,719 Speaker 1: what happened back then and it worked out. So I 215 00:10:33,720 --> 00:10:37,000 Speaker 1: don't know, there's a lot of debate over the whole thing. No, 216 00:10:37,120 --> 00:10:38,640 Speaker 1: and I agree with Eric. And the other thing is 217 00:10:38,800 --> 00:10:40,480 Speaker 1: you have to be realistic. If you look at the 218 00:10:40,480 --> 00:10:43,760 Speaker 1: size of the fixed income ETF market, UM, black Rock 219 00:10:43,840 --> 00:10:46,440 Speaker 1: is half of that market right between them and Vanguard 220 00:10:46,520 --> 00:10:48,640 Speaker 1: like three quarters and the entire market. So really they 221 00:10:48,720 --> 00:10:52,240 Speaker 1: are like the biggest issue of fixed income ets. They 222 00:10:52,240 --> 00:10:54,920 Speaker 1: were the first they know that market really well. Um. 223 00:10:54,920 --> 00:10:57,600 Speaker 1: I get how it looks optically, but realistically, either of 224 00:10:57,600 --> 00:10:59,960 Speaker 1: them or Vanguard are the only ones that have products 225 00:11:00,000 --> 00:11:02,160 Speaker 1: big enough that the STEAD bought and won't have any 226 00:11:02,200 --> 00:11:05,840 Speaker 1: type of impact. Okay, topic number two, are there any 227 00:11:05,960 --> 00:11:11,280 Speaker 1: signs of normalcy returning to the market right now? It's interesting, Um, 228 00:11:11,320 --> 00:11:13,400 Speaker 1: the sell off did kind of have a break after 229 00:11:13,400 --> 00:11:16,120 Speaker 1: the FED. I think everybody exhaled. I'm not sure it's over. 230 00:11:16,360 --> 00:11:18,880 Speaker 1: Is this a as Rick Ferry put it, He's like 231 00:11:18,920 --> 00:11:20,720 Speaker 1: it's like a roller coaster, you know, there was the 232 00:11:20,760 --> 00:11:24,240 Speaker 1: first there's the the slow move up, the crazy dip down, 233 00:11:24,679 --> 00:11:26,839 Speaker 1: and he thinks we're on that that little rise before 234 00:11:26,880 --> 00:11:29,440 Speaker 1: you go down to the second little dipper. But anyway, 235 00:11:30,120 --> 00:11:32,319 Speaker 1: who knows where we are. But we will say it's 236 00:11:32,320 --> 00:11:34,680 Speaker 1: been a kind of a calmer last couple of days. 237 00:11:35,080 --> 00:11:37,400 Speaker 1: And what we've seen is some normalcy return. For example, 238 00:11:37,440 --> 00:11:40,439 Speaker 1: a five g e t F launched. That is something 239 00:11:40,480 --> 00:11:42,920 Speaker 1: that is just that was happening dime a dozen a 240 00:11:42,920 --> 00:11:46,680 Speaker 1: month ago. Right. We also saw I saw people start 241 00:11:46,760 --> 00:11:49,640 Speaker 1: to debate e S g um. That's something everybody forgot about. 242 00:11:49,640 --> 00:11:51,320 Speaker 1: Remember that was all we were talking about for a while. 243 00:11:51,640 --> 00:11:54,720 Speaker 1: Spy volume got a little lower. We also saw the 244 00:11:55,000 --> 00:11:58,560 Speaker 1: fact that ants active non transparent ETFs are going to launch. 245 00:11:59,200 --> 00:12:02,760 Speaker 1: That's now back into uh, into the debate. So there 246 00:12:02,760 --> 00:12:05,160 Speaker 1: were definitely some signs of normalcy and alb is refreshing. 247 00:12:05,200 --> 00:12:07,320 Speaker 1: To be honest, does that mean the sell us over? 248 00:12:07,400 --> 00:12:10,480 Speaker 1: I don't know, but certainly, uh the industry is trying 249 00:12:10,520 --> 00:12:13,120 Speaker 1: to sort of move on. Uh. You know, even in 250 00:12:13,120 --> 00:12:17,000 Speaker 1: the rubble tom which one stood out to you. Yeah, 251 00:12:17,040 --> 00:12:20,199 Speaker 1: I think the ants ones that Eric mentioned are interesting 252 00:12:20,200 --> 00:12:23,200 Speaker 1: because you had this like drought of not having any 253 00:12:23,200 --> 00:12:25,960 Speaker 1: products launched in March. I think only three products launched 254 00:12:25,960 --> 00:12:28,360 Speaker 1: the mark in March, so that five G one is 255 00:12:28,360 --> 00:12:30,160 Speaker 1: going to sort of break the drought. But the fact 256 00:12:30,200 --> 00:12:33,080 Speaker 1: that ants are coming into the market, now, Um, they 257 00:12:33,160 --> 00:12:35,920 Speaker 1: delayed their launch before this sell off, but apparently they're 258 00:12:35,920 --> 00:12:38,680 Speaker 1: sort of making a call, right, Um, ones are gonna 259 00:12:38,720 --> 00:12:41,079 Speaker 1: be really managed. Their performance is going to be really 260 00:12:41,080 --> 00:12:43,760 Speaker 1: important to how much money they raised, So they're probably 261 00:12:43,760 --> 00:12:45,400 Speaker 1: thinking that, hey, maybe we're going to see a little 262 00:12:45,400 --> 00:12:47,600 Speaker 1: bit of a reversal in the market. Let's ride this 263 00:12:47,679 --> 00:12:50,240 Speaker 1: wave up. So I think the fact that these active 264 00:12:50,400 --> 00:12:53,520 Speaker 1: non transparence are coming to market shows that maybe they're 265 00:12:53,559 --> 00:12:55,360 Speaker 1: thinking that there could be a little bit of reversal 266 00:12:55,360 --> 00:12:56,640 Speaker 1: in the market. But that was the one that really 267 00:12:56,679 --> 00:13:05,960 Speaker 1: stood out to me. Okay, so that's an interesting transition 268 00:13:06,000 --> 00:13:08,360 Speaker 1: to sort of like topic number three, which let's just 269 00:13:08,520 --> 00:13:11,760 Speaker 1: call it winners and losers. Do you think active non 270 00:13:11,760 --> 00:13:15,800 Speaker 1: transparent could be a potential winner in all of this? Uh? Yeah, 271 00:13:15,920 --> 00:13:17,839 Speaker 1: I do, And I think they're a winner because they 272 00:13:18,000 --> 00:13:21,000 Speaker 1: avoided what happened, right, So they were going to launch, 273 00:13:21,040 --> 00:13:22,760 Speaker 1: they were scheduled of launched in February, they would have 274 00:13:22,840 --> 00:13:25,320 Speaker 1: caught this downdraft. I think what could have happened to 275 00:13:25,360 --> 00:13:27,440 Speaker 1: them is optically they would have faced a lot of 276 00:13:27,440 --> 00:13:30,800 Speaker 1: the scrutiny that ets were getting about their discounts uh 277 00:13:30,880 --> 00:13:33,520 Speaker 1: to NAB and whatnot, um and probably getting a little 278 00:13:33,520 --> 00:13:35,440 Speaker 1: bit of criticism on how these things were going to trade. 279 00:13:35,920 --> 00:13:39,199 Speaker 1: But then also they missed this huge downdraft of performance. 280 00:13:39,240 --> 00:13:42,240 Speaker 1: And um, you know timing is important as well. There 281 00:13:42,280 --> 00:13:44,679 Speaker 1: was just one e t F that launched right in February. 282 00:13:45,000 --> 00:13:46,959 Speaker 1: It was probably the worst type of If they could 283 00:13:46,960 --> 00:13:49,559 Speaker 1: have launched as a travel one and the ticker was 284 00:13:49,600 --> 00:13:55,200 Speaker 1: away out of the gig, I think potentially ants could 285 00:13:55,200 --> 00:13:57,640 Speaker 1: have the benefit of having really strong performance out of 286 00:13:57,640 --> 00:13:59,560 Speaker 1: the gate. So I think that you potentially could be 287 00:13:59,640 --> 00:14:03,679 Speaker 1: away ner I'm coming out of this. Who else strikes 288 00:14:03,720 --> 00:14:06,280 Speaker 1: you as a winner and all of this, Um, you 289 00:14:06,320 --> 00:14:09,760 Speaker 1: know that when I look at the league table of issuers, 290 00:14:09,800 --> 00:14:15,320 Speaker 1: I see Vanguard, and I see these issuers of leverage products. 291 00:14:15,920 --> 00:14:19,000 Speaker 1: It's interesting total bar belt, right, and we see this 292 00:14:19,160 --> 00:14:22,080 Speaker 1: in if you break down flows by expense ratio buckets, 293 00:14:22,560 --> 00:14:24,640 Speaker 1: all the money is going to stuff below twenty basis 294 00:14:24,640 --> 00:14:27,960 Speaker 1: points as usual, or stuff over eight basis points, which 295 00:14:28,000 --> 00:14:30,800 Speaker 1: is the trading tool, stuff like the you know, double 296 00:14:30,880 --> 00:14:34,320 Speaker 1: leveraged to accuse and all this. UM. This kind of 297 00:14:34,320 --> 00:14:37,200 Speaker 1: a sell off is great for those companies because the 298 00:14:37,320 --> 00:14:40,480 Speaker 1: swoons up and down are where the adrenaline gets better 299 00:14:40,520 --> 00:14:44,600 Speaker 1: for traders, so they tend to attract more money. UM. 300 00:14:44,720 --> 00:14:47,320 Speaker 1: People love to play the swing back, and so this 301 00:14:47,360 --> 00:14:50,840 Speaker 1: has been been like like a roller coaster is what 302 00:14:50,880 --> 00:14:55,760 Speaker 1: they're looking for. Most investors don't want that Vanguard that 303 00:14:55,880 --> 00:14:57,920 Speaker 1: it's just it's amazing what they do. We looked at 304 00:14:57,960 --> 00:15:00,000 Speaker 1: Q one flows. I think ETS took in about six 305 00:15:00,040 --> 00:15:04,200 Speaker 1: the six billion Vanguard took in se of that net number. 306 00:15:04,640 --> 00:15:09,560 Speaker 1: That is a ridiculous amount. Normally they take in maybe UM. 307 00:15:09,680 --> 00:15:12,920 Speaker 1: So Vanguard typically is always the big winner in bear 308 00:15:12,960 --> 00:15:16,240 Speaker 1: markets and sell offs because everybody else is gets more 309 00:15:16,320 --> 00:15:18,560 Speaker 1: hurt than they do, and they tend to just keep 310 00:15:18,640 --> 00:15:23,080 Speaker 1: doing their thing so relatively, so their normal thing becomes 311 00:15:23,240 --> 00:15:26,960 Speaker 1: strong when everyone else is suffering. That sort of signal 312 00:15:27,080 --> 00:15:30,800 Speaker 1: that retail hasn't really freaked out that much on all 313 00:15:30,840 --> 00:15:33,360 Speaker 1: of this. So that's a great question. I think it 314 00:15:33,600 --> 00:15:37,240 Speaker 1: depends Uh. If you look at mutual funds again, the 315 00:15:37,400 --> 00:15:41,400 Speaker 1: two billion out of mutual funds, uh this year so 316 00:15:41,440 --> 00:15:44,800 Speaker 1: far active mutual funds, that's retail, That would tell you. 317 00:15:44,920 --> 00:15:48,280 Speaker 1: But I find that active mutual funds have less loyalty 318 00:15:48,400 --> 00:15:51,640 Speaker 1: then e T. People who buy Vanguards seek Vanguard out. 319 00:15:51,920 --> 00:15:54,080 Speaker 1: They're not really like sold Vanguard. They seek it out. 320 00:15:54,440 --> 00:15:56,160 Speaker 1: So when you seek it out and you know you 321 00:15:56,200 --> 00:15:58,960 Speaker 1: want cheap, you're usually kind of investor who understands behavior 322 00:15:59,040 --> 00:16:01,480 Speaker 1: and like not panicking and long term. So I just 323 00:16:01,520 --> 00:16:04,800 Speaker 1: think Vanguard happens just attracts those types. So I would 324 00:16:04,800 --> 00:16:08,320 Speaker 1: say the vanguard type retail investor not panicking. I would say, 325 00:16:08,720 --> 00:16:11,520 Speaker 1: you know, the baby boomer who's close to retirement with 326 00:16:11,560 --> 00:16:14,080 Speaker 1: some active mutual funds. We are seeing some signs that 327 00:16:14,120 --> 00:16:16,440 Speaker 1: they are. Because the two billion out of active mutual 328 00:16:16,440 --> 00:16:18,920 Speaker 1: funds is a ton. I mean, even in their worst 329 00:16:19,000 --> 00:16:22,400 Speaker 1: year two eighteen, they saw just over double that. But 330 00:16:22,440 --> 00:16:25,400 Speaker 1: that wasn't a year. This isn't a month, um, So 331 00:16:26,160 --> 00:16:29,040 Speaker 1: I'm sorry, this is two billion years to date. Sorry, 332 00:16:29,080 --> 00:16:31,880 Speaker 1: so in a quarter. Either way, it's a gigantic number, 333 00:16:32,600 --> 00:16:35,000 Speaker 1: and I think it does show some some retails, you know, 334 00:16:35,600 --> 00:16:38,960 Speaker 1: crackage and Tom who strikes you as a as a loser? 335 00:16:39,720 --> 00:16:42,200 Speaker 1: I want to say State Street, But the thing is 336 00:16:42,800 --> 00:16:46,680 Speaker 1: most of it is Spy, right, um, But Spy is 337 00:16:46,760 --> 00:16:49,280 Speaker 1: so big and the sheer size of its flows go 338 00:16:49,440 --> 00:16:52,000 Speaker 1: up and down. So like for example, in February UH 339 00:16:52,120 --> 00:16:55,120 Speaker 1: it was the flow laggard and this list month it 340 00:16:55,160 --> 00:16:57,000 Speaker 1: was a flow leader. But what tends to happen with 341 00:16:57,000 --> 00:16:59,520 Speaker 1: State Street is a lot of their products are used 342 00:16:59,520 --> 00:17:03,400 Speaker 1: for trade, but they slowly bleed assets. So, um, I 343 00:17:03,440 --> 00:17:06,359 Speaker 1: think what ends up had happening Ultimately when the market 344 00:17:06,400 --> 00:17:09,320 Speaker 1: sort of calms down and that trading advantage goes away 345 00:17:09,359 --> 00:17:11,760 Speaker 1: for State Street, they sort of tend to lose assets 346 00:17:11,800 --> 00:17:14,159 Speaker 1: a little bit, so they slowly bleed off some of 347 00:17:14,240 --> 00:17:17,359 Speaker 1: the assets. Um when mark when assets sort of come 348 00:17:17,359 --> 00:17:20,639 Speaker 1: back after these sharp sell offs. Interesting about State Street 349 00:17:20,760 --> 00:17:25,400 Speaker 1: is if you look at the UH flows during the 350 00:17:25,400 --> 00:17:27,840 Speaker 1: worst of the sell off, the number one flow getter 351 00:17:27,920 --> 00:17:31,080 Speaker 1: was built, which is there one to three year month treasury, 352 00:17:31,119 --> 00:17:34,280 Speaker 1: which is basically cash. Big surprise cashes the top of 353 00:17:34,280 --> 00:17:36,840 Speaker 1: the list, but normally you'd see s h V or 354 00:17:36,920 --> 00:17:39,800 Speaker 1: s h Y the I shares short term treasuries up there. 355 00:17:40,080 --> 00:17:42,960 Speaker 1: The fact that Bill was able to outflow. Um I 356 00:17:43,119 --> 00:17:46,560 Speaker 1: shares products. I thought was an interesting maneuver, and I 357 00:17:46,560 --> 00:17:49,400 Speaker 1: think State Street was number one in March flows. So 358 00:17:49,880 --> 00:17:52,600 Speaker 1: they've done better, I thought, than in past times when 359 00:17:52,640 --> 00:17:55,640 Speaker 1: spy drags them down and they're negative. They've definitely sort 360 00:17:55,640 --> 00:17:57,280 Speaker 1: of I think saw some reading on the wall a 361 00:17:57,320 --> 00:18:00,000 Speaker 1: couple of years ago. They have cheap, dirt, cheap products 362 00:18:00,080 --> 00:18:02,639 Speaker 1: now for the core and they're like really pushing some 363 00:18:02,720 --> 00:18:05,000 Speaker 1: of the things, and um, it's it's working. I think 364 00:18:05,000 --> 00:18:07,360 Speaker 1: they're less in the basement in the sell off thing 365 00:18:07,440 --> 00:18:12,040 Speaker 1: they normally are. Okay, Topic number four Smart Beta. Okay, Tom, 366 00:18:12,080 --> 00:18:13,960 Speaker 1: I really want to pick your brain about this because 367 00:18:14,040 --> 00:18:17,080 Speaker 1: during the financial crisis, there was this moment called the 368 00:18:17,119 --> 00:18:21,239 Speaker 1: immaculate rebalance, and here we are just at the end 369 00:18:21,280 --> 00:18:24,760 Speaker 1: of Q one going into Q two. Smart beta basically 370 00:18:25,240 --> 00:18:28,119 Speaker 1: is this robot that hits a reset button at moments 371 00:18:28,200 --> 00:18:31,720 Speaker 1: like this. It just strikes me as this opportunity, like 372 00:18:31,760 --> 00:18:34,120 Speaker 1: what can we learn from smart beta right now? Yeah, 373 00:18:34,119 --> 00:18:36,159 Speaker 1: So you bring up an example in two thousand and 374 00:18:36,200 --> 00:18:38,959 Speaker 1: eight where some of these smart beta funds bought financials 375 00:18:39,040 --> 00:18:41,159 Speaker 1: right Worth. At the time, everyone was really afraid of 376 00:18:41,160 --> 00:18:43,040 Speaker 1: owning those stocks. And I think we're seeing a similar 377 00:18:43,040 --> 00:18:45,919 Speaker 1: parallel with some of the energy companies and especially some 378 00:18:45,960 --> 00:18:48,560 Speaker 1: of the airlines. Right you sort of seeing people on 379 00:18:48,600 --> 00:18:51,000 Speaker 1: Twitter just asking, oh, should I buy airlines? Is a 380 00:18:51,040 --> 00:18:54,680 Speaker 1: good time. But because smart beta is emotionless and it's 381 00:18:54,680 --> 00:18:56,320 Speaker 1: just rules based, what I think you're going to see 382 00:18:56,320 --> 00:18:59,119 Speaker 1: potentially some of these value ets to some of these 383 00:18:59,200 --> 00:19:02,760 Speaker 1: multi factor et take positions and somebody's really beaten down 384 00:19:02,840 --> 00:19:06,720 Speaker 1: sectors like airlines, Um, maybe some energy. So if airlines 385 00:19:06,760 --> 00:19:08,679 Speaker 1: do come back and you see these funds that had 386 00:19:08,720 --> 00:19:11,320 Speaker 1: been rebalancing to them, I think potentially it could be 387 00:19:11,320 --> 00:19:14,520 Speaker 1: a really good trade, just like it was in two 388 00:19:14,560 --> 00:19:16,399 Speaker 1: thousand eight that ended up benefiting a lot of these 389 00:19:16,480 --> 00:19:20,960 Speaker 1: multi factor funds that bought financials. The only caveat to 390 00:19:21,000 --> 00:19:24,119 Speaker 1: that I would argue is that in two thousand and nine, 391 00:19:24,480 --> 00:19:27,760 Speaker 1: I just remember literally everybody hated banks. They were scared 392 00:19:27,800 --> 00:19:30,320 Speaker 1: of them. I don't know if people are scared of 393 00:19:30,359 --> 00:19:33,639 Speaker 1: airlines that I did a poll yesterday asking people what 394 00:19:33,640 --> 00:19:35,960 Speaker 1: what they thought the twelve month return of jets would be. 395 00:19:36,600 --> 00:19:40,040 Speaker 1: You know, uh, and the majority picked over there was 396 00:19:40,040 --> 00:19:45,200 Speaker 1: still half picked flat or negative. But um, a lot 397 00:19:45,200 --> 00:19:48,439 Speaker 1: of people have optimism there. I think, Um, this is 398 00:19:48,560 --> 00:19:51,280 Speaker 1: slightly different in that regard in terms of people's view 399 00:19:51,400 --> 00:19:54,359 Speaker 1: on airlines versus banks. In two thousand nine that said, 400 00:19:54,920 --> 00:19:58,360 Speaker 1: smart Beta, this is when they should shine because they're 401 00:19:58,359 --> 00:20:01,240 Speaker 1: going to just do things based done the robotic nature 402 00:20:01,280 --> 00:20:05,480 Speaker 1: of the programming of the rules and not on emotion. 403 00:20:05,640 --> 00:20:09,560 Speaker 1: And we'll see if that works again this time. Look, 404 00:20:09,720 --> 00:20:13,080 Speaker 1: there's gonna be a couple that are like that that 405 00:20:13,160 --> 00:20:15,080 Speaker 1: really shine out of this. Uh. And we don't know 406 00:20:15,119 --> 00:20:17,480 Speaker 1: who they are going to be yet, but this is 407 00:20:17,520 --> 00:20:21,240 Speaker 1: the kind of environment that makes future winners, uh in 408 00:20:21,400 --> 00:20:24,280 Speaker 1: you know, in terms of helping them out perform. Okay, 409 00:20:24,320 --> 00:20:26,200 Speaker 1: you said it the future. That's the last thing I 410 00:20:26,240 --> 00:20:27,840 Speaker 1: want to talk about. What do you? What do you? 411 00:20:28,119 --> 00:20:31,800 Speaker 1: Let's make some bold predictions here, Tom, let's go first. Yeah. Sure, 412 00:20:32,119 --> 00:20:34,440 Speaker 1: I'll keep on the mold on the smart Beata topic. 413 00:20:34,480 --> 00:20:36,480 Speaker 1: But really I was looking at multi factor and why 414 00:20:36,520 --> 00:20:39,280 Speaker 1: this is so interesting is I looked at GSLC, which 415 00:20:39,280 --> 00:20:42,080 Speaker 1: is a big golden multi factor fund. It hasn't had 416 00:20:42,280 --> 00:20:45,000 Speaker 1: any outflows during this entire period, which I think is 417 00:20:45,080 --> 00:20:48,520 Speaker 1: really interesting, and given all the outflows that have been 418 00:20:48,520 --> 00:20:50,720 Speaker 1: coming out of active equity, I think when money gets 419 00:20:50,720 --> 00:20:53,000 Speaker 1: to redeployed back into the market. It's going to come 420 00:20:53,040 --> 00:20:55,640 Speaker 1: in through these multi factor um ets. So I don't 421 00:20:55,680 --> 00:20:58,439 Speaker 1: see why this is not gonna be the fastest growing 422 00:20:58,480 --> 00:21:01,000 Speaker 1: smart BEATA category and why sets can't double in the 423 00:21:01,000 --> 00:21:04,679 Speaker 1: next couple of years. Eric, you've got a bold prediction 424 00:21:04,760 --> 00:21:07,359 Speaker 1: for me. Yeah, I'll go with um You know, again, 425 00:21:07,400 --> 00:21:09,919 Speaker 1: as NTF analysts, most people won't be shocked by this, 426 00:21:09,960 --> 00:21:12,040 Speaker 1: but I will say that in this environment, it's pretty shocking. 427 00:21:12,080 --> 00:21:15,440 Speaker 1: I'll say, bond ETFs double their assets in three years. 428 00:21:15,720 --> 00:21:17,720 Speaker 1: Right now they have like eight and fifty billion. I 429 00:21:17,720 --> 00:21:20,040 Speaker 1: see that getting to aout one point five trillion. And 430 00:21:20,040 --> 00:21:23,400 Speaker 1: the reason I say that is because even though pundits 431 00:21:23,440 --> 00:21:26,000 Speaker 1: and some critics are looking at these discounts as black 432 00:21:26,040 --> 00:21:29,240 Speaker 1: eyes quote unquote, the volume in them has been more 433 00:21:29,240 --> 00:21:32,960 Speaker 1: than double the old record. Uh. They've traded about seven billion, 434 00:21:33,560 --> 00:21:35,160 Speaker 1: and that's as much as they trade in a quarter. 435 00:21:35,680 --> 00:21:38,040 Speaker 1: So all of them are being used more and more 436 00:21:38,040 --> 00:21:41,200 Speaker 1: in these crisis situations. If if the if the actual 437 00:21:41,400 --> 00:21:44,800 Speaker 1: users of them thought these discounts were somehow a bad deal, 438 00:21:44,960 --> 00:21:47,640 Speaker 1: they would stop using them. The volume would plummet. They 439 00:21:47,680 --> 00:21:50,399 Speaker 1: go look to do something else. So volume to me 440 00:21:50,720 --> 00:21:53,360 Speaker 1: is a foreshadow of future assets, and in every sell 441 00:21:53,400 --> 00:21:59,600 Speaker 1: off two thousand bond ETFs have uh gotten more investors 442 00:21:59,800 --> 00:22:02,560 Speaker 1: you using them. People love low spreads, they love the liquidity. 443 00:22:02,600 --> 00:22:04,520 Speaker 1: Plus you throw in the low cost, there's still much 444 00:22:04,560 --> 00:22:06,679 Speaker 1: cheaper than an active mutual fund, and that's what the 445 00:22:06,680 --> 00:22:09,439 Speaker 1: advisors like. So liquidity and low costs are to me 446 00:22:09,520 --> 00:22:11,800 Speaker 1: are still the two big advantages of ETFs in general, 447 00:22:11,880 --> 00:22:14,840 Speaker 1: especially bondy tfs. And they're still intact, so I think 448 00:22:14,840 --> 00:22:18,760 Speaker 1: they overcome any sort of perceived black eyes um and 449 00:22:18,840 --> 00:22:21,679 Speaker 1: you know, continue taking in assets. But uh, you know, 450 00:22:21,680 --> 00:22:24,320 Speaker 1: we'll see. We're watching them, you know, to see if 451 00:22:24,320 --> 00:22:27,240 Speaker 1: anything in this sell off has turned anybody off. But 452 00:22:27,320 --> 00:22:30,919 Speaker 1: so far I don't think it has. And that's all 453 00:22:31,000 --> 00:22:34,280 Speaker 1: for Trillions tom As always, thanks for joining us on Trillians, 454 00:22:34,320 --> 00:22:37,240 Speaker 1: Stay safe in London, Thanks for having me, Eric, keep 455 00:22:37,280 --> 00:22:46,280 Speaker 1: it real and Philly, thanks for listening to Trillions until 456 00:22:46,320 --> 00:22:48,080 Speaker 1: next time. You can find us on the Bloomberg Terminal, 457 00:22:48,320 --> 00:22:52,440 Speaker 1: Bloomberg dot com, Apple Podcasts, Spotify and where brails you'd 458 00:22:52,440 --> 00:22:54,520 Speaker 1: like to listen. We'd love to hear from you. We're 459 00:22:54,560 --> 00:22:57,800 Speaker 1: on Twitter, I'm at Joel Webber Show, He's at Eric 460 00:22:57,840 --> 00:23:01,880 Speaker 1: Faltunist and you can find tom at Tea, Sarah Fagus, 461 00:23:02,000 --> 00:23:05,159 Speaker 1: good Luck Spell on it. This episode of Trillions was 462 00:23:05,200 --> 00:23:08,359 Speaker 1: produced by Magnus Hendrickson. Francesca Levey is the head of 463 00:23:08,359 --> 00:23:09,920 Speaker 1: Bloomberg Podcast, but