1 00:00:05,880 --> 00:00:11,520 Speaker 1: Wogan trillions. I'm Joel Webber and I'm Eric bel Tunis. Eric, 2 00:00:11,520 --> 00:00:14,480 Speaker 1: there's a category that we haven't really spent that much 3 00:00:14,480 --> 00:00:16,560 Speaker 1: time talking about un trillions, which is kind of incredible. 4 00:00:16,840 --> 00:00:20,799 Speaker 1: But that's alternatives. And why why is that significant right now? Yeah, 5 00:00:20,840 --> 00:00:23,880 Speaker 1: because the sixty and the forty, the equities and bonds 6 00:00:23,920 --> 00:00:26,800 Speaker 1: that most people have as the portfolio is not really 7 00:00:27,320 --> 00:00:30,479 Speaker 1: working like people thought. This year. The forty, which is 8 00:00:30,480 --> 00:00:34,320 Speaker 1: the bonds, isn't really hedging the sixty. Normally that happens, 9 00:00:34,400 --> 00:00:36,199 Speaker 1: and that's good and that's why you use bonds. But 10 00:00:36,240 --> 00:00:38,360 Speaker 1: this year they're both down, and to me, that has 11 00:00:38,600 --> 00:00:41,839 Speaker 1: opened the door to alternatives, which is literally what the 12 00:00:41,920 --> 00:00:45,720 Speaker 1: name is. And I define alternatives as investment strategies that 13 00:00:45,760 --> 00:00:49,640 Speaker 1: have non correlated return streams to stocks and bonds, so 14 00:00:49,760 --> 00:00:51,959 Speaker 1: like they might have zero correlation or just a very 15 00:00:52,000 --> 00:00:54,720 Speaker 1: small correlation, and therefore they can sometimes go up or 16 00:00:54,720 --> 00:00:57,360 Speaker 1: go down less than the sixty and the forty, and 17 00:00:57,400 --> 00:01:01,120 Speaker 1: they typically are lower vault. And in that category exists 18 00:01:01,120 --> 00:01:04,319 Speaker 1: a lot of hedge fund strategies. So contrary to popular belief, 19 00:01:04,520 --> 00:01:07,119 Speaker 1: um not all hedge funds are trying to like crush 20 00:01:07,200 --> 00:01:09,959 Speaker 1: the market. A lot are trying to deliver something that 21 00:01:10,040 --> 00:01:12,200 Speaker 1: might be UM have a higher sharp ratio, which means 22 00:01:12,440 --> 00:01:14,720 Speaker 1: a decent return stream but at lower vall and with 23 00:01:14,800 --> 00:01:18,120 Speaker 1: non correlative return. So that category has grown a ton 24 00:01:18,160 --> 00:01:20,200 Speaker 1: this year. It's still small at five point one billion, 25 00:01:20,560 --> 00:01:24,880 Speaker 1: but the percentage growth is big. And it's been waiting 26 00:01:25,120 --> 00:01:28,360 Speaker 1: maybe fifteen years for this moment because stocks and bonds 27 00:01:28,360 --> 00:01:31,160 Speaker 1: have just gone up easily, and it hasn't really been 28 00:01:31,160 --> 00:01:33,720 Speaker 1: like something people search for, because why bother if you're 29 00:01:33,720 --> 00:01:36,200 Speaker 1: sixty and forty is doing fine. There's a whole different 30 00:01:36,240 --> 00:01:38,520 Speaker 1: ball game now, and so I think alternatives are having 31 00:01:38,600 --> 00:01:42,520 Speaker 1: somewhat of a moment. So we're gonna talk about hedge 32 00:01:42,520 --> 00:01:45,360 Speaker 1: funds strategies in an e t F rapper this time 33 00:01:45,480 --> 00:01:48,320 Speaker 1: joining us. It's gonna be Andrew Beer of Dynamic Beta, 34 00:01:48,840 --> 00:01:53,560 Speaker 1: Bob Elliott of Unlimited, and Cathy Burton, hedge fund reporter 35 00:01:53,600 --> 00:02:03,960 Speaker 1: with Bloomberg News, this time on Trilliance Hedge Funns. Andrew, Bob, Cathy, 36 00:02:04,000 --> 00:02:08,079 Speaker 1: Welcome to Trallians. Thank you so much, thanks for having us. Okay, Andrew, 37 00:02:08,120 --> 00:02:10,880 Speaker 1: I want to start with you, UM, why hedge fund 38 00:02:11,360 --> 00:02:13,840 Speaker 1: strategy and an ETF wrapper? Why do this at all? 39 00:02:14,360 --> 00:02:17,919 Speaker 1: So Eric mentioned this idea that we've been waiting fifteen 40 00:02:17,960 --> 00:02:20,119 Speaker 1: years for this moment. I've actually been working fifteen years 41 00:02:20,160 --> 00:02:24,760 Speaker 1: for this moment. So I've been doing this incredibly long time. Uh. 42 00:02:24,880 --> 00:02:27,600 Speaker 1: You know, we we knew that this breakdown of stocks 43 00:02:27,600 --> 00:02:29,360 Speaker 1: and bonds would come at some point. You know, what 44 00:02:29,440 --> 00:02:31,400 Speaker 1: we're living through in the two thousand tens was very 45 00:02:31,480 --> 00:02:34,560 Speaker 1: very unusual. And you know, about seven or eight years ago, 46 00:02:34,600 --> 00:02:36,480 Speaker 1: we started to focus on the strategy that we thought 47 00:02:36,639 --> 00:02:39,600 Speaker 1: actually had the most diversification bang for the buck if 48 00:02:39,600 --> 00:02:42,079 Speaker 1: you're starting with a portfolio, and it's a strategy called 49 00:02:42,160 --> 00:02:45,680 Speaker 1: managed futures, And the easiest way to describe managed futures 50 00:02:45,800 --> 00:02:48,119 Speaker 1: is it's like flood insurance where you get paid to wait. 51 00:02:48,760 --> 00:02:50,480 Speaker 1: That's all you need to know about it from from 52 00:02:50,480 --> 00:02:53,040 Speaker 1: a portfolio perspective. And so we saw it as one 53 00:02:53,080 --> 00:02:55,799 Speaker 1: of these areas where you know, previously it had done 54 00:02:55,840 --> 00:02:57,760 Speaker 1: really really well during the dot Com crisis, it had 55 00:02:57,800 --> 00:02:59,880 Speaker 1: done really really well during the Great Financial Crisis, and 56 00:02:59,880 --> 00:03:03,160 Speaker 1: the question was would it do well in another big 57 00:03:03,200 --> 00:03:06,040 Speaker 1: crisis like that? And now the strategy is up overall 58 00:03:06,040 --> 00:03:08,040 Speaker 1: around thirty percent this year, and we've been very, very 59 00:03:08,080 --> 00:03:11,600 Speaker 1: fortunate to manage an et F that's in that area, 60 00:03:13,000 --> 00:03:16,040 Speaker 1: Drill down what is it, what's in the portfolio? If 61 00:03:16,040 --> 00:03:17,760 Speaker 1: I pull up the holding screen, what am I going 62 00:03:17,800 --> 00:03:20,040 Speaker 1: to see? And it's active? So what are you doing? 63 00:03:19,760 --> 00:03:23,000 Speaker 1: And by the way, the ticker d d m F right, yes, sir, 64 00:03:23,600 --> 00:03:26,560 Speaker 1: so yeah, so so what what these strategies do is 65 00:03:26,600 --> 00:03:29,240 Speaker 1: basically there are a bunch of hedge funds that are 66 00:03:29,320 --> 00:03:32,320 Speaker 1: looking for trying to determine whether an asset is going 67 00:03:32,360 --> 00:03:34,440 Speaker 1: to go up or down. Is oil, if oil has 68 00:03:34,440 --> 00:03:36,040 Speaker 1: been going up, is going to keep going up? If 69 00:03:36,120 --> 00:03:37,400 Speaker 1: rates have been going up, are they going to keep 70 00:03:37,400 --> 00:03:38,880 Speaker 1: going up? If equities are going down, and are they 71 00:03:38,880 --> 00:03:41,760 Speaker 1: gonna keep going down? And so the way that they 72 00:03:41,800 --> 00:03:45,600 Speaker 1: express this is through financial derivitist called futures contracts, because 73 00:03:45,640 --> 00:03:47,720 Speaker 1: these are very very efficient ways to bet on things 74 00:03:47,720 --> 00:03:50,240 Speaker 1: going up or down. And so what we do in 75 00:03:50,320 --> 00:03:53,800 Speaker 1: DBMF is we basically try to piggyback off of the 76 00:03:53,840 --> 00:03:57,520 Speaker 1: core trades that these largest hedge funds are doing. So 77 00:03:57,600 --> 00:03:59,640 Speaker 1: when they're betting that oil is going up, we simply 78 00:03:59,680 --> 00:04:01,960 Speaker 1: expres us. It's the same way through a futures contract. 79 00:04:02,240 --> 00:04:03,720 Speaker 1: If their betting rates are going to keep going up, 80 00:04:03,760 --> 00:04:05,360 Speaker 1: we do the same thing, but also through things like 81 00:04:05,400 --> 00:04:08,000 Speaker 1: treasury futures. So when you look at DBMF, what you 82 00:04:08,040 --> 00:04:10,200 Speaker 1: basically see as a big pile of cash and cash 83 00:04:10,240 --> 00:04:13,720 Speaker 1: like instruments and then a handful of derivative contracts through 84 00:04:13,760 --> 00:04:17,120 Speaker 1: which we express those views. Okay, Bob, what are you doing? 85 00:04:17,279 --> 00:04:20,240 Speaker 1: That's different because and you have a you came from Bridgewater, right, 86 00:04:20,240 --> 00:04:23,240 Speaker 1: so I'm curious. You know that's a world's biggest hedge fund, 87 00:04:23,240 --> 00:04:24,800 Speaker 1: Like what did you pick up there? And what are 88 00:04:24,800 --> 00:04:29,359 Speaker 1: you doing with your tick HfN D well I I 89 00:04:29,480 --> 00:04:32,680 Speaker 1: spent the first twenty years of my career basically in 90 00:04:32,760 --> 00:04:36,480 Speaker 1: two and twenty institutions in two and twenty for those 91 00:04:36,560 --> 00:04:39,320 Speaker 1: not in the two and twenty being UH. The typical 92 00:04:39,320 --> 00:04:43,360 Speaker 1: fee structure of a hedge fund so management fee two 93 00:04:43,400 --> 00:04:47,280 Speaker 1: percent of AUM management fee performance. And what I saw 94 00:04:47,400 --> 00:04:51,960 Speaker 1: over time was that UM hedge funds UH and two 95 00:04:52,000 --> 00:04:55,880 Speaker 1: and twenty managers generate great returns. They're they're very good 96 00:04:56,120 --> 00:05:00,760 Speaker 1: at delivering alpha or sort of returns above of standard 97 00:05:00,800 --> 00:05:03,760 Speaker 1: index investing. But what they do is they end up 98 00:05:03,800 --> 00:05:07,080 Speaker 1: charging so many fees that the investor who invest in 99 00:05:07,080 --> 00:05:10,080 Speaker 1: those products is typically worse off. Plus they're always in 100 00:05:10,120 --> 00:05:15,480 Speaker 1: structures that are uh typically unaccessible to the everyday investor, 101 00:05:16,120 --> 00:05:18,480 Speaker 1: and so that got me to thinking about whether there 102 00:05:18,520 --> 00:05:20,760 Speaker 1: was a way to sort of bring a kind of 103 00:05:20,760 --> 00:05:25,040 Speaker 1: low cost indexing idea that obviously is totally changed stocks 104 00:05:25,040 --> 00:05:27,480 Speaker 1: and bonds, but bring it to the hedge fund space. Now, 105 00:05:27,520 --> 00:05:31,920 Speaker 1: the goal they're being to track the gross of fees 106 00:05:31,960 --> 00:05:35,200 Speaker 1: returns of the total hedge fund industry and all the 107 00:05:35,240 --> 00:05:39,479 Speaker 1: different strategies that make up that so not includes things 108 00:05:39,480 --> 00:05:43,200 Speaker 1: like equity long short, fixed income, arbitrage, global macro managed 109 00:05:43,240 --> 00:05:48,120 Speaker 1: futures is andrew is highlighted, and basically create an index 110 00:05:48,160 --> 00:05:50,479 Speaker 1: replication that looks like the hedge fund industry in the 111 00:05:50,480 --> 00:05:53,359 Speaker 1: same way you might buy an index an index of 112 00:05:53,400 --> 00:05:55,520 Speaker 1: the SP five under it, or an index that covers 113 00:05:56,040 --> 00:05:57,919 Speaker 1: the global bond market. And so that's really what HfN 114 00:05:58,000 --> 00:06:02,240 Speaker 1: D is all about, is is creating that index like 115 00:06:02,480 --> 00:06:05,640 Speaker 1: product for the hedge fund space. Okay, Kathy, you've been 116 00:06:05,680 --> 00:06:08,440 Speaker 1: covering hedge funds for a really long time. This feels 117 00:06:08,440 --> 00:06:11,200 Speaker 1: like an existential crisis almost. It's like these guys have 118 00:06:11,520 --> 00:06:14,360 Speaker 1: hedge fund industry has this magic formula that only they 119 00:06:14,360 --> 00:06:18,440 Speaker 1: know they can charge a significant amount of money for 120 00:06:19,040 --> 00:06:22,520 Speaker 1: have institutional clients with gigantic pools of money that they 121 00:06:22,520 --> 00:06:25,360 Speaker 1: can drop on. But you know, an et F strategy, 122 00:06:25,400 --> 00:06:27,919 Speaker 1: this opens the door, like I can invest like a 123 00:06:27,960 --> 00:06:30,440 Speaker 1: hedge fund now, right, So how does this going over 124 00:06:30,480 --> 00:06:33,279 Speaker 1: within the hedge fund community? Well, I think right now 125 00:06:33,360 --> 00:06:36,760 Speaker 1: it's still a pretty small part. But it is a 126 00:06:36,800 --> 00:06:39,520 Speaker 1: bit more of a threat, I would say, because there 127 00:06:39,560 --> 00:06:42,760 Speaker 1: although there's some funds that are doing very well this year, uh, 128 00:06:42,800 --> 00:06:45,560 Speaker 1: there are a lot that have not been able to 129 00:06:45,800 --> 00:06:48,279 Speaker 1: take advantage of you know, to be short when the 130 00:06:48,279 --> 00:06:52,640 Speaker 1: market drops. They've just done a pretty poor job overall. 131 00:06:53,040 --> 00:06:55,159 Speaker 1: So I feel like it is a bit of a 132 00:06:55,279 --> 00:06:58,000 Speaker 1: moment where we might see more people and just give 133 00:06:58,080 --> 00:06:59,840 Speaker 1: us the lay the land of the hedge fund world 134 00:06:59,880 --> 00:07:02,600 Speaker 1: right now, Um, I don't look at it every day, 135 00:07:02,680 --> 00:07:05,679 Speaker 1: lest I heard it's about three trillion. Has that assets 136 00:07:05,720 --> 00:07:08,040 Speaker 1: been going up or down? We talk about active mutual 137 00:07:08,040 --> 00:07:10,360 Speaker 1: funds a lot on here, and they're seeing like eight 138 00:07:10,720 --> 00:07:13,720 Speaker 1: billion outflows this year. How are hedge funds holding up 139 00:07:13,760 --> 00:07:16,600 Speaker 1: through the whole sort of rise of passive? I mean, 140 00:07:16,640 --> 00:07:20,120 Speaker 1: are they maintaining their niche? Our institutions still like is 141 00:07:20,160 --> 00:07:23,640 Speaker 1: in love with them? Are they maybe forcing their fees down. 142 00:07:23,640 --> 00:07:26,520 Speaker 1: Are they also getting like some fee compression. What's the 143 00:07:26,560 --> 00:07:30,240 Speaker 1: state of things over there? Uh, it really varies. I 144 00:07:30,280 --> 00:07:33,560 Speaker 1: would say overall fees have come down, but for certain 145 00:07:33,600 --> 00:07:36,080 Speaker 1: funds that have done well, the fees have actually gone 146 00:07:36,160 --> 00:07:40,720 Speaker 1: up in some instances. Overall, the assets have more or 147 00:07:40,840 --> 00:07:46,120 Speaker 1: less kind of stabilized at that three trillion dollar level. Uh. Certainly, 148 00:07:46,200 --> 00:07:49,760 Speaker 1: a lot of strategies like long short equity have lost assets, 149 00:07:49,760 --> 00:07:53,160 Speaker 1: both because of the market fall and people pulling money. 150 00:07:53,200 --> 00:07:56,600 Speaker 1: But at the same time, other some of the largest 151 00:07:56,640 --> 00:08:00,440 Speaker 1: funds have made money this year, so that's helped bring 152 00:08:00,480 --> 00:08:03,800 Speaker 1: assets up a little bit. So that's the stabilizing aspect 153 00:08:03,840 --> 00:08:08,160 Speaker 1: of it. Both. You guys are looking to democratize hedge 154 00:08:08,160 --> 00:08:11,840 Speaker 1: funds in general. I get it. It's clear. Here's the 155 00:08:11,880 --> 00:08:15,000 Speaker 1: thing and what I you know, I've learned about institutions. 156 00:08:15,040 --> 00:08:19,400 Speaker 1: I feel like they they want exclusivity. They almost think 157 00:08:19,400 --> 00:08:21,559 Speaker 1: the e t F is like the the public pool 158 00:08:21,600 --> 00:08:23,840 Speaker 1: down the street. I want the private pool in my 159 00:08:23,880 --> 00:08:26,960 Speaker 1: backyard or at least the country club. I'm not I 160 00:08:26,960 --> 00:08:29,600 Speaker 1: I need to do better things than that. And then 161 00:08:29,640 --> 00:08:31,760 Speaker 1: on the flip side, you have advisors who may not 162 00:08:31,800 --> 00:08:34,320 Speaker 1: even understand hedge funds enough to use them. So I 163 00:08:34,440 --> 00:08:36,800 Speaker 1: sometimes think alts might get caught in the middle of 164 00:08:36,840 --> 00:08:40,400 Speaker 1: both of those worlds, or have challenges selling two institutions 165 00:08:40,400 --> 00:08:43,319 Speaker 1: who want exclusivity and advisors who may not totally even 166 00:08:43,400 --> 00:08:46,040 Speaker 1: understand what you're talking about and get scared of under performance. 167 00:08:46,559 --> 00:08:49,440 Speaker 1: So back to the point about fees, right, So, so 168 00:08:49,480 --> 00:08:51,840 Speaker 1: the hedge fund industry is not going away, right In fact, 169 00:08:51,920 --> 00:08:54,200 Speaker 1: and and and the hedge fund industry serves a very 170 00:08:54,240 --> 00:08:58,280 Speaker 1: very valuable function for those institutional investors their products. They 171 00:08:58,280 --> 00:09:01,720 Speaker 1: can assemble their own cars from hundreds of different you 172 00:09:01,720 --> 00:09:06,079 Speaker 1: know parts, basically to meet their particular risk reward criteria. 173 00:09:06,240 --> 00:09:08,440 Speaker 1: And most frankly, as much as they talk about it, 174 00:09:08,440 --> 00:09:10,760 Speaker 1: they really don't care how much they're paying fees. Right, 175 00:09:10,800 --> 00:09:13,640 Speaker 1: It's just them. Yes, fees have come down, but relative 176 00:09:13,720 --> 00:09:15,800 Speaker 1: to the net A feed performance of hedge funds, they 177 00:09:15,800 --> 00:09:18,560 Speaker 1: obviously haven't come down very much, and they're going up 178 00:09:18,600 --> 00:09:22,719 Speaker 1: in certain circumstances. Our business plan is very different. Right, 179 00:09:22,720 --> 00:09:25,240 Speaker 1: You've got six or seven trillion dollars of et F 180 00:09:25,280 --> 00:09:28,400 Speaker 1: assets out there. You have a fifteen year history of 181 00:09:28,559 --> 00:09:32,320 Speaker 1: pretty bad products, hedge fund products being put into ETFs. 182 00:09:32,760 --> 00:09:35,360 Speaker 1: One of our competitors launched in the beginning of two 183 00:09:35,400 --> 00:09:40,240 Speaker 1: thousand eleven, it's down over eleven years, where the hedge 184 00:09:40,240 --> 00:09:42,880 Speaker 1: funds that it's supposed to be mimicking are up over 185 00:09:42,960 --> 00:09:46,720 Speaker 1: that period of time. One of Bob's competitors has delivered 186 00:09:46,720 --> 00:09:49,320 Speaker 1: two percent per anum since two thousand seven or two 187 00:09:49,320 --> 00:09:51,600 Speaker 1: thousand eight, or to actually the beginning of two thousand nine. 188 00:09:52,160 --> 00:09:55,000 Speaker 1: So when you talk about democratization, if these are your 189 00:09:55,040 --> 00:09:58,480 Speaker 1: options for democratization, don't bother. And that was the lesson 190 00:09:58,520 --> 00:10:01,520 Speaker 1: of the two thousand tents. Let's talk about the competitors. 191 00:10:01,520 --> 00:10:03,120 Speaker 1: I want to bring up the tickers, but there are 192 00:10:03,240 --> 00:10:06,440 Speaker 1: some hedge fund ETFs that have an equity bias in them. 193 00:10:06,679 --> 00:10:09,400 Speaker 1: They're only partially hedged, and I think that was to 194 00:10:09,440 --> 00:10:12,240 Speaker 1: try to sell them to advisors in the up times 195 00:10:12,600 --> 00:10:14,000 Speaker 1: that so that you still got you got that like 196 00:10:14,160 --> 00:10:17,640 Speaker 1: Beta kick, but now Beta is bad and it's maybe 197 00:10:17,720 --> 00:10:20,320 Speaker 1: making the actual hedge working less. Is that what you're 198 00:10:20,360 --> 00:10:23,040 Speaker 1: talking about here, whereas yours are more all in hedge. 199 00:10:23,240 --> 00:10:25,680 Speaker 1: But it's also the complexity of it. Our our mission 200 00:10:25,679 --> 00:10:28,920 Speaker 1: as advisor education right and in fact, in fact when 201 00:10:29,000 --> 00:10:31,400 Speaker 1: we built are the two ETFs that we run the 202 00:10:31,480 --> 00:10:34,600 Speaker 1: ideas that they're supposed to be incredibly simple and elegant 203 00:10:34,600 --> 00:10:36,839 Speaker 1: building blocks for advisors who want to use them in 204 00:10:36,840 --> 00:10:39,520 Speaker 1: their portfolio. They're supposed to understand how they work underneath 205 00:10:39,520 --> 00:10:41,040 Speaker 1: the hood and what it is we're trying to achieve, 206 00:10:41,520 --> 00:10:43,439 Speaker 1: and we have to build a better language around it 207 00:10:44,080 --> 00:10:46,000 Speaker 1: because we have to be able to explain it in 208 00:10:46,040 --> 00:10:48,360 Speaker 1: a way not where somebody gets off the phone understanding 209 00:10:48,400 --> 00:10:51,040 Speaker 1: what we're talking about, but three weeks later, not having 210 00:10:51,120 --> 00:10:52,439 Speaker 1: thought about it for three weeks. They've got to be 211 00:10:52,480 --> 00:10:54,400 Speaker 1: able to sit down with their client who knows nothing 212 00:10:54,480 --> 00:10:57,080 Speaker 1: about the space and be able to communicate the value 213 00:10:57,120 --> 00:11:01,319 Speaker 1: proposition why it's there. And so our view has been 214 00:11:01,400 --> 00:11:02,920 Speaker 1: that there have been a lot of hedge fund like 215 00:11:03,120 --> 00:11:05,800 Speaker 1: products that have been put into et f rappers that 216 00:11:05,880 --> 00:11:08,280 Speaker 1: never should have been there. Some of them are designed 217 00:11:08,600 --> 00:11:12,280 Speaker 1: to as you say, they are almost in a Noman's 218 00:11:12,360 --> 00:11:15,760 Speaker 1: land between the really really dynamic, thematic type products that 219 00:11:15,800 --> 00:11:17,760 Speaker 1: people buy and sell every day on a regular basis 220 00:11:18,200 --> 00:11:20,520 Speaker 1: and the asset allocators who want something where they can 221 00:11:20,600 --> 00:11:23,880 Speaker 1: say I want this strategy, and I want it in 222 00:11:24,000 --> 00:11:26,640 Speaker 1: a predictable, simple, straightforward way that I can explain to 223 00:11:26,679 --> 00:11:29,280 Speaker 1: my clients. I think one of the most interesting things 224 00:11:30,040 --> 00:11:33,719 Speaker 1: when I talk to advisors is nearly every advisor I 225 00:11:33,800 --> 00:11:38,839 Speaker 1: talked to is looking for alternatives. They appreciate and recognize 226 00:11:38,920 --> 00:11:43,719 Speaker 1: the challenges that SIXT has had will have on a 227 00:11:43,800 --> 00:11:46,840 Speaker 1: forward looking basis, and so they need to have something 228 00:11:47,480 --> 00:11:51,480 Speaker 1: that gives their clients something better, frankly, than they can 229 00:11:51,520 --> 00:11:55,000 Speaker 1: do on their own to just invest in in index investing. 230 00:11:55,520 --> 00:11:58,480 Speaker 1: And the problem those advisors face is when they look 231 00:11:58,520 --> 00:12:03,640 Speaker 1: at alternatives, they structures that are very unpalatable. So they 232 00:12:03,720 --> 00:12:09,160 Speaker 1: see traditional LP positions that are highly concentrated, they see 233 00:12:09,200 --> 00:12:11,440 Speaker 1: those positions that are very tax and efficient. Are those 234 00:12:11,440 --> 00:12:14,960 Speaker 1: structures are very tax and efficient? And they say to themselves, 235 00:12:15,320 --> 00:12:17,640 Speaker 1: this is a hard way. It is hard to get 236 00:12:17,760 --> 00:12:21,520 Speaker 1: access to alternative investment products. And so I think what 237 00:12:21,600 --> 00:12:25,000 Speaker 1: they're looking for the problem is clear in terms of 238 00:12:25,080 --> 00:12:28,599 Speaker 1: the need for alternatives and the desire for a simplified, 239 00:12:28,679 --> 00:12:32,000 Speaker 1: tax efficient structure that the e t F provides. And 240 00:12:32,080 --> 00:12:38,200 Speaker 1: so they're looking for institutional quality, world class investors coming 241 00:12:38,240 --> 00:12:40,840 Speaker 1: to the e t F market offering those sorts of products. 242 00:12:40,880 --> 00:12:43,439 Speaker 1: And I think, you know, Andrew and I both have 243 00:12:43,679 --> 00:12:46,800 Speaker 1: that sort of pedigree and experience that we know how 244 00:12:47,520 --> 00:12:52,120 Speaker 1: institutional quality hedge fund strategies work and can put those 245 00:12:52,160 --> 00:12:55,160 Speaker 1: into the package that that is much more accessible to 246 00:12:55,240 --> 00:13:05,800 Speaker 1: investors and advised. So I'm curious when you're talking to 247 00:13:05,840 --> 00:13:08,880 Speaker 1: your advisors, the the idea of a non correlated asset 248 00:13:09,160 --> 00:13:12,760 Speaker 1: very appealing. Obviously, how do you break down how you 249 00:13:12,880 --> 00:13:15,319 Speaker 1: achieve that? We've heard, we've heard how how Andrew does it? 250 00:13:15,400 --> 00:13:17,400 Speaker 1: But how do you do it? Well? What we do 251 00:13:17,840 --> 00:13:22,240 Speaker 1: is we use machine learning techniques to basically look over 252 00:13:22,360 --> 00:13:25,559 Speaker 1: the shoulder of the asset managers. There's a lot of 253 00:13:25,679 --> 00:13:30,120 Speaker 1: information that you can see in uh in what managers 254 00:13:30,160 --> 00:13:32,559 Speaker 1: are doing from their pattern of returns, and that's reported 255 00:13:32,600 --> 00:13:35,959 Speaker 1: regularly their teams basically right, No, not their teams thirteen 256 00:13:36,040 --> 00:13:37,599 Speaker 1: have to have some issues because they only give you 257 00:13:37,640 --> 00:13:42,360 Speaker 1: a very small slice, a small picture into what they're doing. 258 00:13:42,480 --> 00:13:45,840 Speaker 1: If you're sophisticated hedge funds, you're doing a lot more 259 00:13:45,880 --> 00:13:47,800 Speaker 1: than what's in that their team f report. And so instead, 260 00:13:47,840 --> 00:13:49,720 Speaker 1: what we do is we look at the pattern of returns, 261 00:13:50,240 --> 00:13:54,800 Speaker 1: and having built proprietary hedge fund strategies across various hedge 262 00:13:54,800 --> 00:13:58,040 Speaker 1: fund styles, we can look at those pattern of returns. 263 00:13:58,360 --> 00:14:02,079 Speaker 1: We can compare it to a plausible set of exposures 264 00:14:02,880 --> 00:14:05,600 Speaker 1: that they might have on or might drive their returns 265 00:14:05,640 --> 00:14:08,880 Speaker 1: at any point in time, and basically solve for what's 266 00:14:08,920 --> 00:14:12,760 Speaker 1: that portfolio look like that is generating the returns that 267 00:14:12,880 --> 00:14:16,120 Speaker 1: we're seeing. So you're like reverse engineering or portfolio using 268 00:14:16,200 --> 00:14:18,480 Speaker 1: machine learning exactly exactly. And one of the things that's 269 00:14:18,520 --> 00:14:21,480 Speaker 1: very important is you can obviously solve for any particular 270 00:14:21,560 --> 00:14:23,640 Speaker 1: point in time with a regression that will give you 271 00:14:24,560 --> 00:14:27,440 Speaker 1: answers that who knows exactly whether it's right or wrong. 272 00:14:27,800 --> 00:14:30,560 Speaker 1: What we do with frankly machine learning techniques that didn't 273 00:14:30,560 --> 00:14:32,880 Speaker 1: exist ten or fifteen years ago, what we're able to 274 00:14:32,960 --> 00:14:36,200 Speaker 1: do is solve for the path of of positions that 275 00:14:36,600 --> 00:14:40,720 Speaker 1: that hedge fund manager might have on through time, which 276 00:14:40,800 --> 00:14:44,840 Speaker 1: then helps us understand more effectively what positions they have 277 00:14:45,040 --> 00:14:48,360 Speaker 1: on now. And that's what we use to inform what 278 00:14:48,520 --> 00:14:50,840 Speaker 1: we put on in terms of the assets back in 279 00:14:50,880 --> 00:14:53,160 Speaker 1: the e t F. So it's really really what we're 280 00:14:53,160 --> 00:14:55,120 Speaker 1: trying to do is sort of infer the wisdom of 281 00:14:55,200 --> 00:14:57,960 Speaker 1: the whole hedge fund community. Are they long growth stocks 282 00:14:58,080 --> 00:15:00,480 Speaker 1: or short growth stocks? Do that? Are they long bonds 283 00:15:00,560 --> 00:15:02,360 Speaker 1: or are they short bonds? Were trying to infer that 284 00:15:02,920 --> 00:15:05,440 Speaker 1: from the aggregate hedge fund community and then put that 285 00:15:05,560 --> 00:15:08,320 Speaker 1: together in something that's simple and easy to access for 286 00:15:08,360 --> 00:15:10,240 Speaker 1: the everyday investors. How do you decide who's in and 287 00:15:10,360 --> 00:15:13,560 Speaker 1: out at that index? We look at everybody. Uh. One 288 00:15:13,640 --> 00:15:18,480 Speaker 1: of the great lessons I think many institutional investors have learned, 289 00:15:18,640 --> 00:15:21,840 Speaker 1: particularly the most sophisticated, is that it's very hard to 290 00:15:21,960 --> 00:15:24,720 Speaker 1: predict exactly which manager is likely to be successful and 291 00:15:24,760 --> 00:15:29,840 Speaker 1: which one isn't. The most successful and sophisticated sovereign wealth 292 00:15:29,880 --> 00:15:32,680 Speaker 1: funds and other institutional managers, what they do is they 293 00:15:32,680 --> 00:15:35,720 Speaker 1: build a diversified portfolio of hedge funds, of thirty or 294 00:15:35,800 --> 00:15:39,080 Speaker 1: fifty hedge funds that are world class and nature and 295 00:15:39,120 --> 00:15:41,240 Speaker 1: they basically say, we don't know exactly which one is 296 00:15:41,240 --> 00:15:43,600 Speaker 1: going to perform well or poorly at any particular point 297 00:15:43,640 --> 00:15:45,800 Speaker 1: in time, but I put together thirty or fifty hedge 298 00:15:45,840 --> 00:15:50,200 Speaker 1: funds together, and that's going to create a nice diversified 299 00:15:50,200 --> 00:15:52,320 Speaker 1: portfolio that over time is going to go up into 300 00:15:52,360 --> 00:15:54,920 Speaker 1: the right it's going to generate pretty good returns. And 301 00:15:55,040 --> 00:15:58,080 Speaker 1: so that's really we're sort of drawing on that expertise 302 00:15:58,200 --> 00:16:01,680 Speaker 1: and saying, instead of looking just one strategy or one manager, 303 00:16:02,160 --> 00:16:07,200 Speaker 1: build an aggregated portfolio, a diversified portfolio, which is likely 304 00:16:07,360 --> 00:16:10,240 Speaker 1: over time to be more consistent than just focusing on 305 00:16:10,320 --> 00:16:13,440 Speaker 1: one manager, one strategy. Do you ever hedge over that 306 00:16:13,560 --> 00:16:17,320 Speaker 1: in any way? What we're doing with HfN D, we 307 00:16:17,560 --> 00:16:21,080 Speaker 1: we don't apply any of our own proprietary views or 308 00:16:21,800 --> 00:16:26,520 Speaker 1: or or or other or other strategies on top of it. 309 00:16:26,600 --> 00:16:28,760 Speaker 1: What we're trying to do is is match the hedge 310 00:16:28,800 --> 00:16:32,480 Speaker 1: fund index grossive fees to be clear, which is a 311 00:16:32,920 --> 00:16:36,600 Speaker 1: important consideration because, uh, when you look at hedge fund 312 00:16:36,640 --> 00:16:40,040 Speaker 1: returns grossive fees, they're pretty good. You know, you you 313 00:16:40,120 --> 00:16:42,520 Speaker 1: have returns that are better than stocks, a bit better 314 00:16:42,560 --> 00:16:45,720 Speaker 1: than stocks, and volatility that's about half what you'd see 315 00:16:46,240 --> 00:16:49,400 Speaker 1: holding stock index return. So that's a that's a pretty 316 00:16:49,480 --> 00:16:53,160 Speaker 1: good return stream that most investors and advisors were wanting 317 00:16:53,160 --> 00:16:58,480 Speaker 1: their portfolio. It's just typically they're too expensive to access, 318 00:16:58,960 --> 00:17:01,240 Speaker 1: uh or or you know, the fees are too high, 319 00:17:01,480 --> 00:17:04,200 Speaker 1: or you can't access the best the best ones because 320 00:17:04,240 --> 00:17:05,840 Speaker 1: they won't take your money. And so that's what we're 321 00:17:05,840 --> 00:17:08,480 Speaker 1: trying to do to really create that democratization of that 322 00:17:08,680 --> 00:17:13,159 Speaker 1: diversified low cost index fund concept just for the for 323 00:17:13,200 --> 00:17:16,560 Speaker 1: the hedge fund space. So what's the best way to 324 00:17:16,800 --> 00:17:21,400 Speaker 1: use your your product, because I guess looking back at 325 00:17:21,600 --> 00:17:25,359 Speaker 1: ten years, it must have been frustrating. Everything everything everywhere 326 00:17:25,440 --> 00:17:27,560 Speaker 1: was going up, and yet you had to kind of 327 00:17:27,680 --> 00:17:30,200 Speaker 1: like wait for a moment, and that moment may have 328 00:17:30,320 --> 00:17:33,399 Speaker 1: arrived now. And so you're you know, you're selling picks 329 00:17:33,440 --> 00:17:35,879 Speaker 1: on the way to a gold rush all of a sudden. 330 00:17:36,080 --> 00:17:38,440 Speaker 1: Um but I'm you know, I'm curious, like now that 331 00:17:38,600 --> 00:17:41,800 Speaker 1: this is happening, how are you telling investors to think 332 00:17:41,800 --> 00:17:45,720 Speaker 1: about using the product now and going forward? So um so, 333 00:17:45,920 --> 00:17:49,439 Speaker 1: to stick with my flood insurance analogies flood not gold rushes. 334 00:17:50,119 --> 00:17:54,600 Speaker 1: So um so, Look, you can overpay for flood insurance 335 00:17:54,880 --> 00:17:57,120 Speaker 1: and if a flood doesn't happen for five or six years, 336 00:17:57,200 --> 00:17:58,920 Speaker 1: you've probably given up your policy when you need it. 337 00:17:59,280 --> 00:18:01,679 Speaker 1: That happened to a lot of people in this space. Uh. 338 00:18:01,800 --> 00:18:04,320 Speaker 1: The Manatutre space on the hedge fund side was notorious, 339 00:18:04,400 --> 00:18:07,400 Speaker 1: and actually Bloomberg wrote an article nearly a decade ago 340 00:18:07,480 --> 00:18:10,840 Speaker 1: talking about how of all gains in the space had 341 00:18:10,880 --> 00:18:13,800 Speaker 1: gone to everybody but clients. Um So, obviously it's it's 342 00:18:13,800 --> 00:18:15,760 Speaker 1: got a lot better since then, and some of the 343 00:18:15,800 --> 00:18:18,000 Speaker 1: funds we track have actually been leaders in in in 344 00:18:18,160 --> 00:18:20,400 Speaker 1: making it somewhat more rational, but it's still an area 345 00:18:20,440 --> 00:18:22,440 Speaker 1: that could be very expensive to invest in. And the 346 00:18:22,520 --> 00:18:25,040 Speaker 1: other is is the fine print in the policies and 347 00:18:25,480 --> 00:18:27,119 Speaker 1: you know, so you get it by a flood, but 348 00:18:27,160 --> 00:18:29,520 Speaker 1: it turns out the flood was from a storm surge um. 349 00:18:29,680 --> 00:18:31,879 Speaker 1: So there are plenty of funds this year, including some 350 00:18:32,000 --> 00:18:34,200 Speaker 1: very popular funds that have actually gone down in a 351 00:18:34,240 --> 00:18:37,240 Speaker 1: year where everybody else has gone up. And so you know, 352 00:18:37,359 --> 00:18:39,520 Speaker 1: this is an area if you if you pull institutional 353 00:18:39,600 --> 00:18:42,080 Speaker 1: investors and you say where do I get the most 354 00:18:42,280 --> 00:18:45,119 Speaker 1: diversification bang for the buck Manachuchers is always at the 355 00:18:45,160 --> 00:18:46,840 Speaker 1: top of the list, going back to your point zero 356 00:18:46,880 --> 00:18:49,960 Speaker 1: correlation over time, and it's hit the trifecta of gains 357 00:18:50,040 --> 00:18:52,800 Speaker 1: during the dot Com crisis, the GFC, and this year. 358 00:18:53,720 --> 00:18:56,520 Speaker 1: The problem is it's been very very difficult people to access. 359 00:18:56,560 --> 00:18:58,240 Speaker 1: And we're trying to make it simple and easy, not 360 00:18:58,480 --> 00:19:01,120 Speaker 1: for the institutional investors who can do it and they've 361 00:19:01,119 --> 00:19:04,040 Speaker 1: done it successfully, but rather for the trillions of dollars 362 00:19:04,080 --> 00:19:07,199 Speaker 1: of ETF based model portfolios that have never had an 363 00:19:07,200 --> 00:19:09,960 Speaker 1: access point to get into this space. So Joel I 364 00:19:10,080 --> 00:19:12,760 Speaker 1: have kind of trolled Andrew a little bit on Twitter 365 00:19:13,359 --> 00:19:16,040 Speaker 1: by calling his fund the arc of the fed hiking 366 00:19:16,119 --> 00:19:19,240 Speaker 1: era um, because you know, Cathy would is obviously like, 367 00:19:19,880 --> 00:19:22,119 Speaker 1: do you get a commission for that? Sounds it sounds 368 00:19:22,160 --> 00:19:24,879 Speaker 1: pretty good. Well, if you're on Twitter, not everybody's a 369 00:19:24,960 --> 00:19:27,479 Speaker 1: Cathy fan. I mean i'd say almost the majority, especially 370 00:19:27,520 --> 00:19:30,960 Speaker 1: the professionals. They just they she she really gets under 371 00:19:31,000 --> 00:19:34,240 Speaker 1: their skin. Um. And so obviously she's down in the 372 00:19:34,280 --> 00:19:36,359 Speaker 1: past like year or two, not having a good time, 373 00:19:36,400 --> 00:19:39,159 Speaker 1: although the investors are pretty loyal. But the reason I 374 00:19:39,240 --> 00:19:41,760 Speaker 1: say that is because if you look at ARCS flow 375 00:19:41,880 --> 00:19:44,600 Speaker 1: chart and dbmfs there they sort of hung in oblivion 376 00:19:44,640 --> 00:19:47,399 Speaker 1: for a while and then bam, the out performance started. 377 00:19:47,680 --> 00:19:49,760 Speaker 1: The people came. You had the shiny object moment up 378 00:19:50,640 --> 00:19:54,720 Speaker 1: this year, which is phenomenal because the markets down or 379 00:19:54,760 --> 00:19:57,359 Speaker 1: something like that. So that's a fifty percentage point above it. 380 00:19:58,160 --> 00:20:00,720 Speaker 1: One billion in assets were one point one allion. That 381 00:20:00,840 --> 00:20:03,520 Speaker 1: doesn't seem like a lot, but relative to alts, that's 382 00:20:04,280 --> 00:20:06,600 Speaker 1: market share of the category. I don't think I've ever 383 00:20:06,640 --> 00:20:09,240 Speaker 1: seen a fund go from nothing to market share in 384 00:20:09,280 --> 00:20:11,920 Speaker 1: a year. So in a way, even though you're a 385 00:20:12,000 --> 00:20:15,360 Speaker 1: smaller scale, it is an ARC type phenomenon in that category. 386 00:20:16,000 --> 00:20:18,280 Speaker 1: And the question I would have for you is, now 387 00:20:18,320 --> 00:20:20,359 Speaker 1: that you've got all this love and people you know, 388 00:20:20,480 --> 00:20:24,119 Speaker 1: kind of going to that shiny nous, let's say the 389 00:20:24,240 --> 00:20:27,320 Speaker 1: Fed pivots or they just say we're done hiking, and that, 390 00:20:27,520 --> 00:20:29,239 Speaker 1: you know, that kind of turns on that whole ARC 391 00:20:29,320 --> 00:20:32,200 Speaker 1: trade again. Um, do you prepare them for like maybe 392 00:20:32,320 --> 00:20:34,560 Speaker 1: the fact that it won't be up every year? I mean, 393 00:20:34,600 --> 00:20:36,440 Speaker 1: how how's that going? And is that like a like 394 00:20:36,480 --> 00:20:39,080 Speaker 1: a fear of yours that like what goes up comes down? 395 00:20:39,160 --> 00:20:40,800 Speaker 1: I mean, I don't know. I'm just curious where your 396 00:20:40,800 --> 00:20:42,119 Speaker 1: heads out on that. Well, there are a couple of 397 00:20:42,119 --> 00:20:43,880 Speaker 1: differences dark. One is I'm not going to tell people 398 00:20:43,880 --> 00:20:47,360 Speaker 1: that we're gonna make thirty Okay, let's let's let's get 399 00:20:47,359 --> 00:20:50,920 Speaker 1: that very straight. Um. The other difference that we're actually 400 00:20:50,960 --> 00:20:53,520 Speaker 1: an interesting similarity is you know, and you and I 401 00:20:53,560 --> 00:20:55,040 Speaker 1: have exchanged thoughts on this is that part of the 402 00:20:55,119 --> 00:20:59,280 Speaker 1: reason ARC started out as a stock picking story, and 403 00:20:59,400 --> 00:21:01,399 Speaker 1: then over time people realize it really wasn't as much 404 00:21:01,440 --> 00:21:05,280 Speaker 1: a stock picking story as access to a particular strategy, 405 00:21:05,320 --> 00:21:07,720 Speaker 1: a thematic strategy that that that people didn't have access 406 00:21:07,720 --> 00:21:10,280 Speaker 1: to otherwise and you know, as I've also said, I'm 407 00:21:10,359 --> 00:21:13,520 Speaker 1: I'm a huge respect for the decision that Kathy would 408 00:21:13,560 --> 00:21:15,920 Speaker 1: made to launch those et f s when she did, 409 00:21:16,040 --> 00:21:18,320 Speaker 1: although I have also been critical of maybe some of 410 00:21:18,320 --> 00:21:21,080 Speaker 1: the things she said publicly. Um, but but that's what 411 00:21:21,240 --> 00:21:24,719 Speaker 1: DBMF is, right. DBMF is supposed to be if instead 412 00:21:24,720 --> 00:21:28,479 Speaker 1: of thematic play, it's the strategy play. And and now 413 00:21:28,560 --> 00:21:30,680 Speaker 1: what you're gonna have in the beginning of three the 414 00:21:30,800 --> 00:21:32,680 Speaker 1: narrative is going to be, it's not stocks bonds in 415 00:21:32,760 --> 00:21:35,200 Speaker 1: real estate that didn't work. It's probably not gonna be stocks, 416 00:21:35,280 --> 00:21:37,400 Speaker 1: bonds in private equity that didn't work. It's gonna be stocks, 417 00:21:37,440 --> 00:21:40,040 Speaker 1: bonds and manner futures. Because that's if you need three 418 00:21:40,119 --> 00:21:41,760 Speaker 1: legs of the stool, those are the three best legs 419 00:21:41,800 --> 00:21:45,520 Speaker 1: to have over time. Our play is not too displace 420 00:21:45,560 --> 00:21:48,720 Speaker 1: hedge funds. You know. In fact, I encourage everybody that 421 00:21:48,800 --> 00:21:50,400 Speaker 1: I know who runs one of these strategies to set 422 00:21:50,440 --> 00:21:51,960 Speaker 1: them up in e t F s and to broaden 423 00:21:52,359 --> 00:21:54,120 Speaker 1: because I think I think E t F allocators should 424 00:21:54,119 --> 00:21:57,159 Speaker 1: have more opportunities and more options to invest in. But 425 00:21:57,320 --> 00:22:00,320 Speaker 1: we're supposed to be the easy allocation that you want 426 00:22:00,320 --> 00:22:02,160 Speaker 1: to start with it. You don't know the space very well. 427 00:22:02,359 --> 00:22:03,880 Speaker 1: You're supposed to be able to say, all right, boy, 428 00:22:03,920 --> 00:22:05,200 Speaker 1: I can see how ten percent of this and my 429 00:22:05,280 --> 00:22:08,240 Speaker 1: portfolio would have made a huge difference this year. And yes, 430 00:22:08,359 --> 00:22:10,600 Speaker 1: if the world comes back tomorrow, the other is going 431 00:22:10,640 --> 00:22:13,400 Speaker 1: to do great. But on the other hand, if as 432 00:22:13,400 --> 00:22:15,360 Speaker 1: a lot of hetche ones think today that this could 433 00:22:15,359 --> 00:22:17,280 Speaker 1: go on for a number of years as we try 434 00:22:17,359 --> 00:22:20,080 Speaker 1: to renormalize, this could be a very very valuable part, 435 00:22:20,119 --> 00:22:22,240 Speaker 1: and we're supposed to be the easy way to get access. 436 00:22:22,680 --> 00:22:24,760 Speaker 1: Also similar between you and Cathy as you both go 437 00:22:24,880 --> 00:22:29,680 Speaker 1: where Vanguard doesn't Cathy's active share to say, the SMP 438 00:22:29,800 --> 00:22:33,520 Speaker 1: fire is like meaning only two percent overlap, You're gonna 439 00:22:33,560 --> 00:22:36,119 Speaker 1: have no overlap with Vanguard. Um. I call him vfcs 440 00:22:36,240 --> 00:22:40,239 Speaker 1: Vanguard free zones like and because just talk to an 441 00:22:40,240 --> 00:22:44,160 Speaker 1: active manager support like no taxes like duty for any 442 00:22:44,200 --> 00:22:46,600 Speaker 1: duty free. Yeah, if you can party there a little bit, Yeah, 443 00:22:46,640 --> 00:22:49,520 Speaker 1: it's still fun. Um. So I do think if you're 444 00:22:49,560 --> 00:22:52,439 Speaker 1: serving up something that you can't get that hasn't been 445 00:22:52,520 --> 00:22:55,200 Speaker 1: vanguarded yet, you're also in a good spot as a 446 00:22:55,320 --> 00:22:59,440 Speaker 1: as an active manager or product provider. Because the Vanguard 447 00:22:59,520 --> 00:23:02,440 Speaker 1: really hills the sixty. I mean, they're pushing so many 448 00:23:02,520 --> 00:23:05,480 Speaker 1: people to get cheaper or even out of business. But 449 00:23:05,640 --> 00:23:08,040 Speaker 1: this is something where you can come in here, have 450 00:23:08,160 --> 00:23:12,639 Speaker 1: some creativity. Um. Other firms like Simplify have done option overlays, 451 00:23:13,200 --> 00:23:15,360 Speaker 1: so you can talk a little bit about the sort 452 00:23:15,359 --> 00:23:18,560 Speaker 1: of changing dynamic of Active and the fact that Active 453 00:23:18,680 --> 00:23:20,320 Speaker 1: might have a I don't know, more of a home 454 00:23:20,400 --> 00:23:23,040 Speaker 1: over here in the future versus sort of the traditional 455 00:23:23,600 --> 00:23:25,440 Speaker 1: Let me get mostly like the SNP and try to 456 00:23:25,480 --> 00:23:27,359 Speaker 1: pick a few stocks to outperform it by two percent 457 00:23:27,480 --> 00:23:31,560 Speaker 1: that year. Yeah, I think a lot of investors and 458 00:23:31,640 --> 00:23:35,800 Speaker 1: allocators have looked at ETFs as basically being the low 459 00:23:35,880 --> 00:23:40,199 Speaker 1: cost and ex solution, and they've delivered in spades along 460 00:23:40,280 --> 00:23:43,440 Speaker 1: that dimension. And you know, innovators like Vanguard as well 461 00:23:43,520 --> 00:23:48,159 Speaker 1: as a variety of different producers have created a vast 462 00:23:48,359 --> 00:23:52,200 Speaker 1: set of products that are available that are sort of 463 00:23:52,240 --> 00:23:54,520 Speaker 1: the picks and shovels that you might have have or 464 00:23:54,600 --> 00:23:57,920 Speaker 1: want to build a portfolio. But I think we're really 465 00:23:58,080 --> 00:24:02,119 Speaker 1: we're entering the now next really the next generation, or 466 00:24:02,240 --> 00:24:04,040 Speaker 1: i'd say sort of the third generation. We sort of 467 00:24:04,080 --> 00:24:08,639 Speaker 1: had the index, uh the index ETF generation. Then we 468 00:24:08,800 --> 00:24:14,520 Speaker 1: had uh, maybe the style or the or the thematic 469 00:24:15,280 --> 00:24:18,000 Speaker 1: UH E t F generation, which you know, I think 470 00:24:18,040 --> 00:24:20,399 Speaker 1: it we're sort of closing the book on more and 471 00:24:20,520 --> 00:24:24,000 Speaker 1: more today and now we're going to see sophisticated asset 472 00:24:24,119 --> 00:24:26,920 Speaker 1: strategies in the package of an e t F. That's 473 00:24:26,960 --> 00:24:29,600 Speaker 1: really what where we're going in terms of the et 474 00:24:29,680 --> 00:24:32,119 Speaker 1: F space. And the reason why that is is that 475 00:24:32,880 --> 00:24:36,760 Speaker 1: the E t F is the best structure for the investor, 476 00:24:37,320 --> 00:24:41,560 Speaker 1: hands down, whether it's taxes, liquidity, transparency, it is the 477 00:24:41,600 --> 00:24:44,800 Speaker 1: best structure. And so what we're gonna see is that 478 00:24:45,000 --> 00:24:48,520 Speaker 1: sophisticated asset managers are going to to use that structure 479 00:24:48,920 --> 00:24:52,800 Speaker 1: when they can to to basically create a product which 480 00:24:52,880 --> 00:24:56,600 Speaker 1: is much more investor friendly than UH than products like 481 00:24:57,160 --> 00:25:00,800 Speaker 1: traditional LP positions, which I mean, every advisor we talked 482 00:25:00,840 --> 00:25:06,160 Speaker 1: to just just UH hates an LP structure. Everyone hates 483 00:25:06,160 --> 00:25:09,359 Speaker 1: an LP structure in the paperwork, the taxes, all this stuff. 484 00:25:09,400 --> 00:25:11,920 Speaker 1: It's terrible. When you can get that in the E 485 00:25:12,000 --> 00:25:14,800 Speaker 1: t F structure. Et F are not cheap anymore. They're 486 00:25:15,000 --> 00:25:20,240 Speaker 1: ideal packages for sophisticated strategies, and so you know, I 487 00:25:20,320 --> 00:25:22,960 Speaker 1: think if anything, I mean Andrew was obviously UH on 488 00:25:23,080 --> 00:25:25,560 Speaker 1: the very much the cutting edge of this years ago. 489 00:25:26,119 --> 00:25:29,680 Speaker 1: I think we're starting to see what will be a 490 00:25:29,840 --> 00:25:32,960 Speaker 1: lot of institutional quality folks coming into the e t 491 00:25:33,080 --> 00:25:37,320 Speaker 1: F space, utilizing its efficiencies uh and and offering a 492 00:25:37,400 --> 00:25:40,240 Speaker 1: lot of differentiated products in the way that the vanguards 493 00:25:40,280 --> 00:25:44,359 Speaker 1: and the wisdom trees, etcetera. Cannot. Are you seeing other 494 00:25:44,840 --> 00:25:48,280 Speaker 1: um E t F people trying to follow what you're 495 00:25:48,320 --> 00:25:51,560 Speaker 1: doing at all? Yeah? For sure, I mean, I I 496 00:25:51,720 --> 00:25:56,760 Speaker 1: get UH. It's interesting. When I started Unlimited, I had 497 00:25:56,880 --> 00:25:59,359 Speaker 1: never issued an e t F. I didn't know much 498 00:25:59,359 --> 00:26:01,719 Speaker 1: about the ets base. As you know. I came from 499 00:26:01,800 --> 00:26:05,080 Speaker 1: the from the hedge, the traditional hedge fund space at Bridgewater, 500 00:26:06,000 --> 00:26:10,120 Speaker 1: and I think the e t F community was very important. 501 00:26:10,359 --> 00:26:13,639 Speaker 1: It was very helpful in sort of uh coming and 502 00:26:13,760 --> 00:26:16,720 Speaker 1: letting me ask questions and have the picked their brain 503 00:26:16,760 --> 00:26:19,080 Speaker 1: about what's the best way to set these things up. Uh. 504 00:26:19,119 --> 00:26:21,119 Speaker 1: And I came along way in terms of understanding ETF 505 00:26:21,280 --> 00:26:23,159 Speaker 1: through that process of the course of the last year. 506 00:26:23,720 --> 00:26:26,040 Speaker 1: And now I'm getting the calls from people who I 507 00:26:26,119 --> 00:26:28,720 Speaker 1: knew in the two and twenties space basically calling me 508 00:26:28,840 --> 00:26:31,760 Speaker 1: up and saying, what about having an et F for 509 00:26:31,920 --> 00:26:35,040 Speaker 1: sophisticated structure. Let's talk about that, what do you do, 510 00:26:35,240 --> 00:26:37,640 Speaker 1: how do you structure it? What have you met? HF? 511 00:26:37,720 --> 00:26:40,800 Speaker 1: And well it's you know, it's interesting. Goldman just announced 512 00:26:40,880 --> 00:26:43,440 Speaker 1: last week they're coming up with a white label business, 513 00:26:43,960 --> 00:26:46,919 Speaker 1: which is major because there are small, small white labors 514 00:26:47,320 --> 00:26:50,560 Speaker 1: label issuers on the indie side, but Goldmen doing it. 515 00:26:50,600 --> 00:26:52,159 Speaker 1: And the reason they did it is they said they 516 00:26:52,200 --> 00:26:54,960 Speaker 1: had institutional clients who were talking about converting their s 517 00:26:55,119 --> 00:26:56,760 Speaker 1: M A or their hedge fund into an e t F. 518 00:26:57,160 --> 00:26:58,879 Speaker 1: Now you can just convert it. You don't even need 519 00:26:58,880 --> 00:27:00,879 Speaker 1: to launch a new one. So we could see a 520 00:27:00,920 --> 00:27:03,720 Speaker 1: wave of existing funds convert. My guess is if a 521 00:27:03,760 --> 00:27:06,840 Speaker 1: fund's really successful and still charging two and twenty, they're 522 00:27:06,840 --> 00:27:09,560 Speaker 1: not converting. But I do think some will look at 523 00:27:09,600 --> 00:27:11,840 Speaker 1: this as an option because why, you know, it'd be 524 00:27:11,920 --> 00:27:14,080 Speaker 1: like if you're a band, and why wouldn't you offer 525 00:27:14,160 --> 00:27:18,000 Speaker 1: your music digitally rather than just on CD and and vinyl. 526 00:27:18,080 --> 00:27:20,160 Speaker 1: It just makes sense. I'll tell you what we're seeing 527 00:27:20,160 --> 00:27:22,840 Speaker 1: on our side, which is that so we're, as you mentioned, 528 00:27:22,880 --> 00:27:25,200 Speaker 1: were one point one billion now and with all of 529 00:27:25,240 --> 00:27:27,239 Speaker 1: our competitors in the mannor Tucher space where maybe one 530 00:27:27,240 --> 00:27:30,200 Speaker 1: point seven billion, and simplifying ct A has had great 531 00:27:30,200 --> 00:27:34,879 Speaker 1: success as well. Um, but how big should this space be? Right? 532 00:27:35,040 --> 00:27:38,119 Speaker 1: It's there trillions and trillions of dollars of e t 533 00:27:38,240 --> 00:27:40,639 Speaker 1: F based model portfolios that have zero exposure to the space. 534 00:27:41,000 --> 00:27:44,560 Speaker 1: It's there's four hundred billion dollars maybe five billion dollars 535 00:27:44,600 --> 00:27:48,400 Speaker 1: of hedge fund assets allocated the strategy and essentially zero 536 00:27:48,440 --> 00:27:50,800 Speaker 1: in the e t F world. So I'm getting calls 537 00:27:50,840 --> 00:27:53,119 Speaker 1: from people who are saying, we can see this going 538 00:27:53,160 --> 00:27:55,400 Speaker 1: to a fifty billion dollar space, a hundred billion dollars space, 539 00:27:55,440 --> 00:27:57,520 Speaker 1: at two hundred billion dollars space over the next decade, 540 00:27:58,040 --> 00:27:59,879 Speaker 1: and that all of a sudden changes the calculus for 541 00:28:00,119 --> 00:28:02,840 Speaker 1: because it's cheaper, as we know in the et F land, 542 00:28:02,880 --> 00:28:04,639 Speaker 1: you're not going to make as much money, but if 543 00:28:04,680 --> 00:28:06,720 Speaker 1: you do it right, you can have that that that 544 00:28:06,920 --> 00:28:09,920 Speaker 1: that that massive scalability. So I do I agree with Bob. 545 00:28:09,960 --> 00:28:11,320 Speaker 1: I think, I mean, I think the world has changed 546 00:28:11,359 --> 00:28:13,399 Speaker 1: in a way. I have very very strong views on 547 00:28:13,440 --> 00:28:15,480 Speaker 1: what products I think will succeed in not which is 548 00:28:15,640 --> 00:28:17,600 Speaker 1: a longer conversation. And again, is the money going to 549 00:28:17,680 --> 00:28:21,320 Speaker 1: come from advisors in retail or institutions or both. It 550 00:28:21,320 --> 00:28:23,480 Speaker 1: will come from model portfolios Okay, So which will be 551 00:28:23,560 --> 00:28:26,120 Speaker 1: which will start when? It'll start with the independent areas 552 00:28:26,200 --> 00:28:28,639 Speaker 1: where we've seen demand, Then it will migrate to the 553 00:28:28,960 --> 00:28:31,720 Speaker 1: top tier wealth management platforms, and then once it gets 554 00:28:31,760 --> 00:28:34,200 Speaker 1: big and becomes established, then you'll start to see institutional 555 00:28:34,240 --> 00:28:37,600 Speaker 1: allocas money. For those who don't know, a model would 556 00:28:37,600 --> 00:28:39,560 Speaker 1: be like something an advisor can just buy and has 557 00:28:40,160 --> 00:28:42,440 Speaker 1: the whole portfolio already made. That way, the advisor can 558 00:28:42,480 --> 00:28:46,440 Speaker 1: focus on getting new clients and like tax stuff exactly. Yeah, okay, 559 00:28:46,480 --> 00:28:49,400 Speaker 1: but since you're new to the space, I'm curious, is 560 00:28:49,480 --> 00:28:52,160 Speaker 1: there anything relatively new to the E t F space? 561 00:28:52,200 --> 00:28:55,760 Speaker 1: I guess they should clarify. Is there anything that the 562 00:28:55,960 --> 00:28:58,680 Speaker 1: e t F can't do that you wish it could do? 563 00:28:59,800 --> 00:29:01,760 Speaker 1: I think for what we're trying to do, the E 564 00:29:01,840 --> 00:29:06,640 Speaker 1: t F is a perfect package and rapper. Um, there's 565 00:29:06,760 --> 00:29:11,040 Speaker 1: natural limitations in terms of UH running strategies that are 566 00:29:11,160 --> 00:29:14,480 Speaker 1: particularly high frequency or with a great deal of turnover, 567 00:29:14,720 --> 00:29:17,640 Speaker 1: where the E t F rapper isn't necessarily the the 568 00:29:17,800 --> 00:29:21,000 Speaker 1: best strategy that that you can are the best structure 569 00:29:21,320 --> 00:29:24,160 Speaker 1: that you could use. But I'll tell you the vast, 570 00:29:24,440 --> 00:29:31,160 Speaker 1: vast majority of sophisticated asset strategies are ones that uh 571 00:29:31,440 --> 00:29:35,360 Speaker 1: that fit well into an E t F type structure, 572 00:29:35,920 --> 00:29:38,960 Speaker 1: and frankly, you know would would really benefit from that 573 00:29:39,760 --> 00:29:45,400 Speaker 1: very uh, that very positive investor friendly structure relative to 574 00:29:46,160 --> 00:29:48,040 Speaker 1: the typical things that are out there. Andrew about you. 575 00:29:48,160 --> 00:29:49,840 Speaker 1: Since you've been you've been in the game for a bit. 576 00:29:49,880 --> 00:29:52,760 Speaker 1: Anything that you could add to your wish list of 577 00:29:52,840 --> 00:29:55,400 Speaker 1: things in E t F could do so. So the 578 00:29:55,440 --> 00:29:57,120 Speaker 1: reason we do it the way that we do it, 579 00:29:57,680 --> 00:30:00,400 Speaker 1: which is essentially copying the big trades cheaply with these 580 00:30:00,440 --> 00:30:02,760 Speaker 1: very efficient liquid instruments, is because we don't run into 581 00:30:02,800 --> 00:30:05,840 Speaker 1: those hurdles that you normally run into. Make no mistake, 582 00:30:06,760 --> 00:30:08,720 Speaker 1: hedge fund strategy should never be put into an et 583 00:30:08,840 --> 00:30:11,320 Speaker 1: F right, It's I mean, I wrote probably the seminal 584 00:30:11,360 --> 00:30:13,280 Speaker 1: paper thous in two thousand fourteen on the mutual fund 585 00:30:13,280 --> 00:30:15,720 Speaker 1: space that when you take a hedge fund strategy, you 586 00:30:15,840 --> 00:30:18,000 Speaker 1: often kill it when you try to when you try 587 00:30:18,000 --> 00:30:20,680 Speaker 1: to tie it up with those constraints. Um. So, I 588 00:30:20,760 --> 00:30:24,960 Speaker 1: think you know, our view is that the vehicle itself 589 00:30:25,040 --> 00:30:28,840 Speaker 1: is extraordinarily valuable in part because you've had this exponential 590 00:30:28,880 --> 00:30:32,960 Speaker 1: geometric growth of the space. Um. But um, but you 591 00:30:33,040 --> 00:30:34,800 Speaker 1: have to be very very careful about what you put 592 00:30:34,840 --> 00:30:36,959 Speaker 1: into e t f s because those constraints are very 593 00:30:37,040 --> 00:30:39,080 Speaker 1: very real, and if you have a strategy that doesn't 594 00:30:39,080 --> 00:30:40,680 Speaker 1: fit with it very well, you will lose what you 595 00:30:40,760 --> 00:30:42,920 Speaker 1: wanted in the process. And I think the history of 596 00:30:43,480 --> 00:30:46,120 Speaker 1: head fund products in the ETF has been in general, 597 00:30:46,120 --> 00:30:56,320 Speaker 1: it has been pretty abysmal. I have a question for 598 00:30:56,440 --> 00:31:00,320 Speaker 1: you but about um the fact that hedge fund are 599 00:31:00,480 --> 00:31:04,920 Speaker 1: doing more and more private investments. So how do you 600 00:31:05,120 --> 00:31:09,760 Speaker 1: end up going around replicating those things which you can't well. 601 00:31:09,800 --> 00:31:13,120 Speaker 1: I think most of hedge fund businesses, or what have 602 00:31:13,280 --> 00:31:16,880 Speaker 1: traditionally been hedge fund businesses, are looking to the private 603 00:31:17,000 --> 00:31:22,160 Speaker 1: space to generate returns either most of the time through 604 00:31:22,800 --> 00:31:26,400 Speaker 1: other vehicles or structures that are less sort of traditional 605 00:31:26,480 --> 00:31:29,440 Speaker 1: hedge fund type structures and more private vehicles in a 606 00:31:29,520 --> 00:31:31,760 Speaker 1: variety of different ways. And so a lot of what 607 00:31:31,840 --> 00:31:34,360 Speaker 1: we're doing, we're really focused here with h F n 608 00:31:34,440 --> 00:31:39,280 Speaker 1: D on the traditional hedge fund space, the trading of 609 00:31:39,400 --> 00:31:43,560 Speaker 1: liquid markets to generate alpha, where some of those private 610 00:31:43,640 --> 00:31:46,960 Speaker 1: market elements are are less relevant or or less impactful 611 00:31:47,000 --> 00:31:51,280 Speaker 1: to the to what's generating the returns um So, Bob, 612 00:31:51,360 --> 00:31:53,920 Speaker 1: you know, I have a long history with Bridgewater and 613 00:31:54,000 --> 00:31:56,400 Speaker 1: writing about Bridgewater because a couple interesting things. You talk 614 00:31:56,440 --> 00:31:59,080 Speaker 1: about the E T F being such a great vehicle 615 00:31:59,720 --> 00:32:02,440 Speaker 1: that I would sometimes use Bridgewater thirteen F to sort 616 00:32:02,480 --> 00:32:04,760 Speaker 1: of explain to people, you have the biggest hedge fund 617 00:32:04,800 --> 00:32:06,840 Speaker 1: in the world. You guys must have had four or 618 00:32:06,880 --> 00:32:09,920 Speaker 1: five billion in ETFs, might even been even more. I 619 00:32:09,960 --> 00:32:12,160 Speaker 1: think it was a risk parity strategy, and all Weather 620 00:32:12,240 --> 00:32:14,720 Speaker 1: Fund used E T S four UM And then I 621 00:32:14,760 --> 00:32:19,000 Speaker 1: would say, and guess what the E M or whatever 622 00:32:19,120 --> 00:32:22,800 Speaker 1: ticker they're in. My mom pays the same fee because 623 00:32:22,840 --> 00:32:24,960 Speaker 1: it kills the share class system that the mutual fund 624 00:32:25,000 --> 00:32:27,040 Speaker 1: world has. And I thought that's kind of cool. But 625 00:32:27,160 --> 00:32:29,120 Speaker 1: then I was looking at your thirteen F. This might 626 00:32:29,160 --> 00:32:30,840 Speaker 1: have been ten years ago when I saw you were 627 00:32:30,920 --> 00:32:33,840 Speaker 1: in an e M and I AMG had come out 628 00:32:33,880 --> 00:32:35,920 Speaker 1: like a few years before, and it was getting liquid, 629 00:32:36,280 --> 00:32:38,400 Speaker 1: and I M G is like, I don't know, fifteen 630 00:32:38,440 --> 00:32:42,040 Speaker 1: BIPs and E M was like sixty nine. So I 631 00:32:42,120 --> 00:32:44,200 Speaker 1: did the math and I wrote this article for Bloomberg 632 00:32:44,240 --> 00:32:48,520 Speaker 1: Opinion that said if Bridgewater moved to e M or 633 00:32:48,600 --> 00:32:52,120 Speaker 1: I MG, they would save seventy two million dollars a year. 634 00:32:52,920 --> 00:32:54,600 Speaker 1: I was like, they could even hire like one or 635 00:32:54,600 --> 00:32:57,400 Speaker 1: two people. That was my little joke. Anyway, that's for 636 00:32:57,480 --> 00:33:01,440 Speaker 1: the that's for the people back. So, Um, then you did, 637 00:33:02,200 --> 00:33:06,440 Speaker 1: and I want to ask, was it my article? I 638 00:33:06,760 --> 00:33:11,160 Speaker 1: I was not not involved in in uh in the 639 00:33:11,240 --> 00:33:13,680 Speaker 1: selection of the the et F while I was there. 640 00:33:13,760 --> 00:33:17,000 Speaker 1: So but but let me tell you, we're reading everything 641 00:33:17,080 --> 00:33:20,680 Speaker 1: you guys, right, and you know there's no uh no 642 00:33:20,920 --> 00:33:24,640 Speaker 1: shame in grabbing great ideas from people who are outside 643 00:33:25,120 --> 00:33:28,040 Speaker 1: and using that to make your product better. So I 644 00:33:28,160 --> 00:33:31,200 Speaker 1: want just five of that. That's all I asked. You're 645 00:33:31,240 --> 00:33:34,320 Speaker 1: not gonna get it. Um, let's bring it back to 646 00:33:34,640 --> 00:33:38,160 Speaker 1: investors right now. Um, what are you expecting your products 647 00:33:38,280 --> 00:33:41,360 Speaker 1: to to do and evolve over the course of the 648 00:33:41,440 --> 00:33:45,360 Speaker 1: next few months as we continue to see, um, you know, 649 00:33:45,640 --> 00:33:49,120 Speaker 1: very chaotic moment in the market. So as I've been 650 00:33:49,120 --> 00:33:51,600 Speaker 1: telling people so Ministratus broadly and again, what we do 651 00:33:51,760 --> 00:33:54,760 Speaker 1: is going to be dependent upon what these incredibly smart 652 00:33:54,760 --> 00:33:57,040 Speaker 1: hedgephones we're spending all day, you know, with our computers 653 00:33:57,080 --> 00:33:59,360 Speaker 1: trying to figure this stuff out. Um. But we've been 654 00:33:59,360 --> 00:34:02,080 Speaker 1: in crush protect a moode all year and it's been basically, 655 00:34:02,080 --> 00:34:05,240 Speaker 1: if you had to put it into a sentence hedge funds. 656 00:34:05,880 --> 00:34:08,799 Speaker 1: These hedge funds were perfectly happy in a low inflation world, 657 00:34:08,880 --> 00:34:10,440 Speaker 1: but they saw the bread crumbs and they switched to 658 00:34:10,840 --> 00:34:13,279 Speaker 1: a view that inflation was gonna gonna pick up, and 659 00:34:13,520 --> 00:34:16,160 Speaker 1: and that's played out through their portfolios. The thing about 660 00:34:16,160 --> 00:34:18,040 Speaker 1: these strategies, and what makes it very very different from 661 00:34:18,080 --> 00:34:21,320 Speaker 1: Cathy would is they change over time. They are and 662 00:34:21,400 --> 00:34:23,000 Speaker 1: so you look at this strategy over a very very 663 00:34:23,040 --> 00:34:24,960 Speaker 1: long period of time, they almost never go down more 664 00:34:25,000 --> 00:34:27,759 Speaker 1: than ten from the front peak to a trough. They 665 00:34:27,840 --> 00:34:30,680 Speaker 1: don't hold onto things with the white knuckle grip, and 666 00:34:30,880 --> 00:34:32,640 Speaker 1: so it's going to be depend upon what happens in 667 00:34:32,640 --> 00:34:34,200 Speaker 1: the world. You know, when you talk about as an 668 00:34:34,239 --> 00:34:38,239 Speaker 1: active strategy, what makes the strategy valuable is that it 669 00:34:38,320 --> 00:34:41,160 Speaker 1: will change what it does over time and and for 670 00:34:41,280 --> 00:34:43,760 Speaker 1: from an asset allocator's perspective, you have to be comfortable 671 00:34:43,840 --> 00:34:46,120 Speaker 1: with that that that that the index itself is not 672 00:34:46,280 --> 00:34:49,759 Speaker 1: static exposure. The index itself is what these hedge funds 673 00:34:49,800 --> 00:34:52,239 Speaker 1: are doing and how they're making money over time and 674 00:34:52,920 --> 00:34:54,799 Speaker 1: over the past twenty two years where we have good 675 00:34:54,880 --> 00:34:59,480 Speaker 1: data on it. It's just simply the best diversifier for portfolio. 676 00:35:00,640 --> 00:35:02,960 Speaker 1: And I think my my, my thought is similar to 677 00:35:03,200 --> 00:35:07,600 Speaker 1: to what Andrew saying in terms of uh, we with 678 00:35:07,800 --> 00:35:09,440 Speaker 1: h F and D. Really, what we're trying to do 679 00:35:10,080 --> 00:35:14,120 Speaker 1: is gain the wisdom of the hedge fund community in 680 00:35:14,239 --> 00:35:17,880 Speaker 1: terms of how to navigate through what is, frankly the 681 00:35:17,920 --> 00:35:21,920 Speaker 1: most challenging investing environment that you know, we've seen in 682 00:35:22,040 --> 00:35:26,799 Speaker 1: fifteen plus years. And so how exactly that plays out 683 00:35:27,760 --> 00:35:31,719 Speaker 1: is I think pretty uncertain, and so the question I 684 00:35:31,800 --> 00:35:35,040 Speaker 1: think that should be on most investors minds today is 685 00:35:35,719 --> 00:35:40,440 Speaker 1: do you essentially hold index positions and hope that that 686 00:35:40,520 --> 00:35:44,759 Speaker 1: works out, or do you hire the smartest, most sophisticated 687 00:35:44,800 --> 00:35:49,200 Speaker 1: asset managers in the world to navigate through this environment 688 00:35:49,480 --> 00:35:53,239 Speaker 1: that you know it's very challenging and benefit from that 689 00:35:53,400 --> 00:35:58,440 Speaker 1: dynamic through time. As Andrew says, that positioning, what what 690 00:35:58,640 --> 00:36:02,120 Speaker 1: the positioning is today will inevitably evolved based upon the 691 00:36:02,160 --> 00:36:06,560 Speaker 1: evolving set of economic conditions, and so, uh, really, what 692 00:36:06,680 --> 00:36:08,680 Speaker 1: you're trying to do with these structures is, in a 693 00:36:08,880 --> 00:36:13,080 Speaker 1: very simple way, higher the best to navigate through this environment. 694 00:36:13,320 --> 00:36:15,600 Speaker 1: But as a compliment, I would assume, right you would 695 00:36:15,640 --> 00:36:18,560 Speaker 1: be a portion of a bigger pie which would still 696 00:36:18,560 --> 00:36:22,239 Speaker 1: contain the sixty forty right, because it would be tough 697 00:36:22,280 --> 00:36:24,640 Speaker 1: sell to get everybody to drop every sixty forty come over. 698 00:36:25,480 --> 00:36:26,920 Speaker 1: I mean, are you able to get anybody to do that? 699 00:36:26,920 --> 00:36:30,000 Speaker 1: I mean I would assume that's hard. They're not doing that. 700 00:36:30,280 --> 00:36:33,440 Speaker 1: I think any if you go back to the structuring 701 00:36:33,480 --> 00:36:36,200 Speaker 1: of any portfolio, you want to think about the returns 702 00:36:36,280 --> 00:36:41,000 Speaker 1: that come from beta or passive indexing invests index investing, 703 00:36:41,440 --> 00:36:45,200 Speaker 1: which are pretty reliable over long periods of time, and 704 00:36:45,239 --> 00:36:47,000 Speaker 1: then you want to think about the returns from alpha 705 00:36:47,040 --> 00:36:52,400 Speaker 1: as a compliment. Uh. And you know alpha is less reliable, 706 00:36:52,840 --> 00:36:56,120 Speaker 1: less correlated, and so you certainly want when you think 707 00:36:56,120 --> 00:36:58,839 Speaker 1: about balancing those two things, your beta allocation and your 708 00:36:58,840 --> 00:37:02,279 Speaker 1: alpha allocation, it's not you know, you put all your 709 00:37:02,280 --> 00:37:05,759 Speaker 1: money on alpha and let it go, because beta has 710 00:37:05,800 --> 00:37:08,200 Speaker 1: a real important purpose. I think there's lots of work 711 00:37:08,320 --> 00:37:11,400 Speaker 1: investors could do to create a more balanced beta portfolio 712 00:37:11,560 --> 00:37:14,560 Speaker 1: relative to where they are now. Commodities, gold, things like that. 713 00:37:15,200 --> 00:37:18,719 Speaker 1: But you know, typically a good alts portfolio, if you 714 00:37:18,719 --> 00:37:21,120 Speaker 1: look at the most sophisticated investors in the world, is 715 00:37:21,200 --> 00:37:25,800 Speaker 1: maybe thirty percent of their portfolio of their portfolio looking 716 00:37:25,920 --> 00:37:31,600 Speaker 1: for alpha related to alternative investment strategies or hedge fund strategies. Yeah, 717 00:37:31,800 --> 00:37:35,320 Speaker 1: on the manistutus at the allocations five, it's it's bounder 718 00:37:35,360 --> 00:37:37,680 Speaker 1: than that range. Depends on depends, It depends on your 719 00:37:37,760 --> 00:37:39,440 Speaker 1: view of the world, it depends on what else you have. 720 00:37:39,920 --> 00:37:41,520 Speaker 1: But at all it's always it should always be view 721 00:37:41,560 --> 00:37:45,799 Speaker 1: as a compliment. Okay, last question one that we often 722 00:37:45,800 --> 00:37:49,759 Speaker 1: ask on trillions. Favorite et F ticker other than your own, Bob, 723 00:37:49,840 --> 00:37:52,080 Speaker 1: I'm gonna start with you. I love the tickers that 724 00:37:52,239 --> 00:37:56,080 Speaker 1: give you a little chuckle, so like, uh like an ahoy? 725 00:37:56,600 --> 00:37:59,279 Speaker 1: I like that or honestly the K pop one. I 726 00:37:59,360 --> 00:38:01,879 Speaker 1: thought it was, you know, just you know when you're 727 00:38:01,920 --> 00:38:04,320 Speaker 1: when you're going through this very serious business and so 728 00:38:04,440 --> 00:38:06,560 Speaker 1: it's just every once in a while nice to get 729 00:38:06,920 --> 00:38:10,120 Speaker 1: a little laugh out of it. Yeah, wait a second, ahoy, 730 00:38:10,520 --> 00:38:13,880 Speaker 1: is that like a leveraged shipping e T I forgot 731 00:38:14,239 --> 00:38:18,279 Speaker 1: it's it's it's a recent et F focus done the 732 00:38:18,840 --> 00:38:24,520 Speaker 1: oceans Andrew h without a question, happy h a p 733 00:38:24,719 --> 00:38:29,000 Speaker 1: I which is uh Dan Rli and Harper Capital teamed 734 00:38:29,080 --> 00:38:30,319 Speaker 1: up for that one. I'm a huge fan of Dan 735 00:38:30,440 --> 00:38:34,520 Speaker 1: r Relli, the behavioral finance guru, and uh, I love 736 00:38:34,680 --> 00:38:36,040 Speaker 1: that one. I'll give you I'll give you a second 737 00:38:36,080 --> 00:38:38,520 Speaker 1: one as well, which is one of our competitors, which maybe, 738 00:38:39,000 --> 00:38:42,400 Speaker 1: but our competitors simplified got C T A. And when 739 00:38:42,440 --> 00:38:47,040 Speaker 1: I saw that come, I thought, oh man, it's definitely 740 00:38:47,080 --> 00:38:52,280 Speaker 1: easier them, which is still it was all my chicken scratch, 741 00:38:52,320 --> 00:38:59,239 Speaker 1: but we got it so so simplify. Paul, You are welcome, Andrew, Bob, 742 00:38:59,360 --> 00:39:01,040 Speaker 1: Cathy thinks so much for joining us ly, thank you 743 00:39:01,040 --> 00:39:03,000 Speaker 1: for having us, Thank you, thank you so much great 744 00:39:03,000 --> 00:39:11,200 Speaker 1: being here. Thanks for listening to Trillions Until next time. 745 00:39:11,400 --> 00:39:14,239 Speaker 1: You can find us on the Bloomberg Terminal, Bloomberg dot com, 746 00:39:14,640 --> 00:39:18,479 Speaker 1: Apple Podcast, Spotify, or wherever else you'd like to listen. 747 00:39:19,120 --> 00:39:21,640 Speaker 1: We'd love to hear from you. We're on Twitter, I'm 748 00:39:21,880 --> 00:39:26,880 Speaker 1: at Joel Webber Show. He's at Eric Faltunus. This episode 749 00:39:26,920 --> 00:39:30,160 Speaker 1: of Trillions was produced by Magnus Hendrickson. Bye