1 00:00:06,000 --> 00:00:08,559 Speaker 1: Well came New Trillions. I'm Joel Webber and I'm Eric 2 00:00:08,600 --> 00:00:12,160 Speaker 1: bel Chionis. We're gonna do something difference this week. Eric, 3 00:00:12,440 --> 00:00:15,560 Speaker 1: we are. It's called mail Back. He's exciting. I love it. 4 00:00:15,720 --> 00:00:18,040 Speaker 1: So we get a lot of questions about ETFs in general, 5 00:00:18,239 --> 00:00:22,320 Speaker 1: and people reach out on Twitter, on Instagram, on email 6 00:00:23,000 --> 00:00:25,479 Speaker 1: via the terminal, and we want to take a moment 7 00:00:25,520 --> 00:00:27,000 Speaker 1: and just dedicate the rest of this show to a 8 00:00:27,000 --> 00:00:29,720 Speaker 1: bunch of questions that people have about E t S. Yeah, 9 00:00:29,720 --> 00:00:32,640 Speaker 1: we collected some of the questions. I sent a bigger 10 00:00:32,680 --> 00:00:35,199 Speaker 1: group of questions that I've gotten to Joel. He added some, 11 00:00:35,280 --> 00:00:38,000 Speaker 1: and Joel is essentially going to pick five or six 12 00:00:38,040 --> 00:00:39,279 Speaker 1: of the ones that he likes, and we're gonna try 13 00:00:39,320 --> 00:00:42,280 Speaker 1: to answer them to cover some areas that you're interested in. 14 00:00:45,360 --> 00:00:50,000 Speaker 1: This time on Trillions, we ran out of ideas. Great 15 00:00:50,040 --> 00:00:53,720 Speaker 1: question here from Kevin bomb at u s c F. 16 00:00:54,480 --> 00:00:58,080 Speaker 1: That's a school, No, it's actually an E T F company. Yeah, 17 00:00:58,160 --> 00:00:59,760 Speaker 1: so he's in the industry. I was going to say 18 00:01:00,080 --> 00:01:03,960 Speaker 1: University of Southern California, Florida. Okay, there you go. It 19 00:01:04,000 --> 00:01:08,959 Speaker 1: sounds like a sixteen seed. So here's Kevin Baum. Have 20 00:01:09,080 --> 00:01:12,920 Speaker 1: you recently analyzed e t F launch size and the 21 00:01:13,000 --> 00:01:18,039 Speaker 1: subsequent flows. That's a good question and very specific. There 22 00:01:18,080 --> 00:01:21,679 Speaker 1: really isn't much connection. There are e t fs that open, 23 00:01:21,800 --> 00:01:25,080 Speaker 1: they come out with a couple hundred million dollars. We 24 00:01:25,160 --> 00:01:28,360 Speaker 1: call those big number. That's huge, right, that's bespoke. It's 25 00:01:28,400 --> 00:01:30,720 Speaker 1: because issuers more and more want to line up like 26 00:01:30,760 --> 00:01:33,880 Speaker 1: an anchor tenant in that ETF. So there's a few examples, 27 00:01:33,880 --> 00:01:37,640 Speaker 1: like the United Nations seeded the low carbon ETF with 28 00:01:37,640 --> 00:01:40,240 Speaker 1: about a hundred and fifty million dollars, just literally like here, 29 00:01:40,560 --> 00:01:43,760 Speaker 1: we want this to work. Here's some opening money. Correct, 30 00:01:43,800 --> 00:01:46,080 Speaker 1: and it has barely more than that four years later. 31 00:01:46,600 --> 00:01:50,400 Speaker 1: So while it's profitable on that one anchor tenant, it 32 00:01:50,440 --> 00:01:53,640 Speaker 1: doesn't necessarily mean it's gonna work later. She is another 33 00:01:53,640 --> 00:01:56,559 Speaker 1: one member the globe. The Diversity e t F Gender 34 00:01:56,600 --> 00:01:59,480 Speaker 1: Diversity ETF has three two million. Almost all of that 35 00:01:59,520 --> 00:02:04,440 Speaker 1: was seed from calisters on the flip side. That's um, yeah, 36 00:02:04,440 --> 00:02:06,600 Speaker 1: pension money that're looking to do that, and they didn't 37 00:02:06,600 --> 00:02:09,760 Speaker 1: really you know, beef up more after that. But having 38 00:02:09,800 --> 00:02:12,280 Speaker 1: that money in there, you'd think might attract other people. 39 00:02:12,280 --> 00:02:16,560 Speaker 1: In that case, it did not. So organic flows usually 40 00:02:16,840 --> 00:02:19,919 Speaker 1: it doesn't matter. Usually what determines whether an ETF gets 41 00:02:19,919 --> 00:02:22,840 Speaker 1: assets is whether it just starts to crush the index, 42 00:02:22,880 --> 00:02:25,560 Speaker 1: like it just shoots right up and just it becomes 43 00:02:25,600 --> 00:02:28,440 Speaker 1: too big to ignore. The out performance, Yeah, the outperformance. 44 00:02:28,880 --> 00:02:30,880 Speaker 1: The other thing that can attract people is if it 45 00:02:30,919 --> 00:02:34,160 Speaker 1: comes in dirt cheap um. When something is so cheap, 46 00:02:34,919 --> 00:02:37,720 Speaker 1: it just excites people. A good example is the Goldman 47 00:02:37,760 --> 00:02:41,120 Speaker 1: sachs Um Multi Factory t f G s LC. That's 48 00:02:41,120 --> 00:02:44,280 Speaker 1: not a great ticker. The the strategy is not that 49 00:02:44,320 --> 00:02:48,079 Speaker 1: easy to understand, but it charges point oh nine percent. 50 00:02:48,639 --> 00:02:52,600 Speaker 1: So for for a smart beta type strategy that was 51 00:02:52,680 --> 00:02:55,240 Speaker 1: like hugely cheap at the time, and that thing has 52 00:02:55,600 --> 00:02:58,080 Speaker 1: a couple of billion dollars. And what's interesting about both 53 00:02:58,120 --> 00:03:01,760 Speaker 1: of these though, the from flows perspective is like it's 54 00:03:01,800 --> 00:03:05,200 Speaker 1: sticky money, right, It's all this money has come in 55 00:03:05,320 --> 00:03:08,160 Speaker 1: and it's stuck around. When e t f s are cheap, 56 00:03:08,280 --> 00:03:10,840 Speaker 1: the money's tends to be more sticky. When the ones 57 00:03:10,880 --> 00:03:13,120 Speaker 1: that they get money because they're high flyers and they 58 00:03:13,160 --> 00:03:15,880 Speaker 1: have a good run, like the Robotics CTF, when when 59 00:03:15,919 --> 00:03:18,240 Speaker 1: that event when they inevitably clucked crash and they will 60 00:03:18,600 --> 00:03:21,280 Speaker 1: there'll be a time when they really underperformed the indexes. 61 00:03:21,840 --> 00:03:24,120 Speaker 1: They're probably going to see some outflows, but not all, 62 00:03:24,200 --> 00:03:27,720 Speaker 1: so that money is less sticky, but not entirely not sticky. 63 00:03:27,760 --> 00:03:30,320 Speaker 1: I'd say half is sticky. Some people I think forget 64 00:03:30,320 --> 00:03:33,040 Speaker 1: they bought it, or they really believe in the idea. 65 00:03:33,400 --> 00:03:42,120 Speaker 1: Kevin Bomb at usc F, thanks for the question. Okay, 66 00:03:42,160 --> 00:03:44,800 Speaker 1: nothing matters more to me than my retirement money. But 67 00:03:44,880 --> 00:03:46,600 Speaker 1: one thing I know about my four ohhen K is 68 00:03:46,600 --> 00:03:50,120 Speaker 1: that it doesn't hold e t s. Why is that good? 69 00:03:50,360 --> 00:03:52,080 Speaker 1: I get this question a lot, and the reason e 70 00:03:52,160 --> 00:03:54,040 Speaker 1: t s aren't four when K plans is because a 71 00:03:54,080 --> 00:03:57,360 Speaker 1: lot of the advantages that we all know about them 72 00:03:57,480 --> 00:04:00,920 Speaker 1: don't really matter there. Right, So I'll go over a 73 00:04:00,920 --> 00:04:04,680 Speaker 1: couple here. Um, the tax efficiency, that doesn't matter because 74 00:04:04,680 --> 00:04:08,320 Speaker 1: you're already buying its pre tax. It's pre tax, right. Um. 75 00:04:08,360 --> 00:04:11,119 Speaker 1: You also don't need to interdate trade your fourwind K plan, 76 00:04:11,200 --> 00:04:13,280 Speaker 1: so the trading please don't do that. Yeah, the liquidity 77 00:04:13,360 --> 00:04:15,760 Speaker 1: kind of doesn't matter. And then you also have the 78 00:04:15,800 --> 00:04:18,440 Speaker 1: cost issue. Right. E t f s are dirt cheap. However, 79 00:04:18,960 --> 00:04:21,400 Speaker 1: in a four one K plan like say Bloomberg, we 80 00:04:21,480 --> 00:04:23,760 Speaker 1: pull all our money together, we can afford the institutional 81 00:04:23,800 --> 00:04:26,279 Speaker 1: class of mutual fund and the eye class as almost 82 00:04:26,360 --> 00:04:28,120 Speaker 1: as cheap as an E t F. Correct E t 83 00:04:28,320 --> 00:04:30,520 Speaker 1: F s ultimately are kind of priced at the institutional 84 00:04:30,560 --> 00:04:33,840 Speaker 1: class level, where the four one k market where you're 85 00:04:33,839 --> 00:04:35,839 Speaker 1: going to see the shift is you're going to see 86 00:04:35,880 --> 00:04:38,279 Speaker 1: index funds take over. And then the other thing is 87 00:04:38,360 --> 00:04:41,880 Speaker 1: there's some technical accounting issues with buying fractional shares. I 88 00:04:41,880 --> 00:04:44,040 Speaker 1: won't get to the weeds, but the idea that if 89 00:04:44,080 --> 00:04:45,839 Speaker 1: you put money in all the time, when when you 90 00:04:45,839 --> 00:04:47,760 Speaker 1: go to buy a mutual fund, there is no bid 91 00:04:47,760 --> 00:04:49,920 Speaker 1: ask spread, whereas E t F you have to buy 92 00:04:49,920 --> 00:04:52,640 Speaker 1: it that spreads. You could argue that dripping and dripping 93 00:04:52,680 --> 00:04:54,679 Speaker 1: and dripping money into an e t F could cost 94 00:04:54,720 --> 00:04:56,880 Speaker 1: you more than on the mutual fund side. But on 95 00:04:57,120 --> 00:04:59,640 Speaker 1: outside of a four wing k plan, an e t 96 00:04:59,800 --> 00:05:03,440 Speaker 1: F will blow away a mutual fund. But that's why 97 00:05:03,560 --> 00:05:06,800 Speaker 1: the four one k plan is essentially the mutual funds 98 00:05:06,800 --> 00:05:09,520 Speaker 1: Alamo because they're protected there. Right. E t f s 99 00:05:09,560 --> 00:05:11,279 Speaker 1: can't really get in there trapped. You know, they're they're 100 00:05:11,279 --> 00:05:14,400 Speaker 1: fighting for their life there. I love the Alamo metaphor. 101 00:05:14,440 --> 00:05:16,600 Speaker 1: That was a good one. Have you been It's quite 102 00:05:16,640 --> 00:05:19,000 Speaker 1: small it's funny. I grew up in Texas, but I 103 00:05:19,040 --> 00:05:21,640 Speaker 1: never went. Also, that Alamo story didn't work out so 104 00:05:21,680 --> 00:05:28,919 Speaker 1: well in the end. That's why I use the metaphor. Okay, 105 00:05:29,200 --> 00:05:31,760 Speaker 1: came up just a couple of seconds ago. You said 106 00:05:31,760 --> 00:05:34,359 Speaker 1: something that I want to ask you about bid ask spread. 107 00:05:34,560 --> 00:05:37,240 Speaker 1: I don't think we've actually really addressed that one. What 108 00:05:37,400 --> 00:05:41,640 Speaker 1: is bidass spread? Bidass spread is essentially the round trip 109 00:05:41,720 --> 00:05:44,640 Speaker 1: toll for trading in ETF, the difference between what you 110 00:05:44,680 --> 00:05:47,359 Speaker 1: can what they'll sell and buy because they're making a market. 111 00:05:47,400 --> 00:05:51,000 Speaker 1: And usually for most TTF there's a penny difference, right, 112 00:05:51,360 --> 00:05:53,560 Speaker 1: So if you bought like say spy, you buy it 113 00:05:53,640 --> 00:05:56,800 Speaker 1: at say a hundred dollars and one cent, but when 114 00:05:56,800 --> 00:05:58,760 Speaker 1: you go to sell it, you have to sell it 115 00:05:58,800 --> 00:06:03,800 Speaker 1: for a hundred dollars even you're losing a penny and 116 00:06:03,839 --> 00:06:06,440 Speaker 1: that is what the middlemen make for making the market. 117 00:06:07,000 --> 00:06:09,119 Speaker 1: So it's very tiny. And if you take that penny 118 00:06:09,120 --> 00:06:11,920 Speaker 1: and divide by the price of the e t F, 119 00:06:12,320 --> 00:06:16,480 Speaker 1: you're talking about point oh one in cost. But that's important. 120 00:06:16,560 --> 00:06:18,520 Speaker 1: But if you do that all the time and you're 121 00:06:18,520 --> 00:06:20,400 Speaker 1: trading all the time, it can add up. And if 122 00:06:20,400 --> 00:06:23,320 Speaker 1: you go to less liquid ETFs you may trade and 123 00:06:23,360 --> 00:06:26,719 Speaker 1: may maybe four or five basis points'll have a bigger 124 00:06:26,760 --> 00:06:28,360 Speaker 1: bit ass bread, right, Yes, so just look at the 125 00:06:28,400 --> 00:06:31,920 Speaker 1: bit asks a spread as the tiny, tiny little cut 126 00:06:32,000 --> 00:06:34,440 Speaker 1: that the middleman get for making a market in in 127 00:06:34,480 --> 00:06:43,640 Speaker 1: the stocks and ETFs. Here's a great question, super meta, 128 00:06:44,640 --> 00:06:46,440 Speaker 1: what's the best performing e t F of all time? 129 00:06:47,880 --> 00:06:50,640 Speaker 1: So we actually just looked at this. Uh, it's interesting 130 00:06:50,680 --> 00:06:55,479 Speaker 1: if there's two categories. There's including leverage thetfs, right, and 131 00:06:55,600 --> 00:06:59,520 Speaker 1: there's ones without. So we'll start with the whole enchilada rights, 132 00:06:59,560 --> 00:07:02,039 Speaker 1: what's the best performing e t F of all time? 133 00:07:03,760 --> 00:07:06,279 Speaker 1: We did, Yeah, and the answer to that question is 134 00:07:06,360 --> 00:07:10,400 Speaker 1: T E C L what T It's nearly five thousand 135 00:07:10,400 --> 00:07:13,400 Speaker 1: percent since it came out. It's the triple leveraged Tech. 136 00:07:13,880 --> 00:07:16,920 Speaker 1: Triple leverage TECH of course. And the thing with leverages, 137 00:07:17,000 --> 00:07:20,480 Speaker 1: if something goes up in a nice steady pattern, the 138 00:07:20,560 --> 00:07:23,880 Speaker 1: daily leverage, when it resets every day, it compounds. So 139 00:07:24,480 --> 00:07:29,160 Speaker 1: that's why leverage ETFs are path dependent. If it were volatile, 140 00:07:29,200 --> 00:07:31,040 Speaker 1: you wouldn't see that. But Tech has had a nice 141 00:07:31,120 --> 00:07:33,680 Speaker 1: nice run since this came out. Was that it came 142 00:07:33,680 --> 00:07:35,440 Speaker 1: out in two thousand eight, so it came out right 143 00:07:35,480 --> 00:07:39,560 Speaker 1: at the bottom. Over ten years, it's up five thou percent. Yes, 144 00:07:39,640 --> 00:07:42,080 Speaker 1: that blows away everybody. So that's number one. If you 145 00:07:42,120 --> 00:07:44,920 Speaker 1: take away leverage, which is sort of like you know, steroids, 146 00:07:44,960 --> 00:07:47,400 Speaker 1: you know, and just going with like clean play, the 147 00:07:47,440 --> 00:07:49,520 Speaker 1: best performing e t F is m d Y, which 148 00:07:49,560 --> 00:07:52,520 Speaker 1: is the spider MidCap um. And what's interesting about m 149 00:07:52,600 --> 00:07:54,440 Speaker 1: d Y it has a big head start. It came 150 00:07:54,440 --> 00:07:57,440 Speaker 1: out a second e t F launched, But m d 151 00:07:57,640 --> 00:07:59,600 Speaker 1: Y is midcaps, and you know, we talked about them 152 00:07:59,600 --> 00:08:02,200 Speaker 1: being the g and Brady of the of the stock 153 00:08:02,240 --> 00:08:05,800 Speaker 1: market because they're overlooked. M d Y since it launched 154 00:08:05,920 --> 00:08:11,000 Speaker 1: is up. Now. If you take the large caps during 155 00:08:11,000 --> 00:08:13,800 Speaker 1: that same time period, they're up seve If you take 156 00:08:13,840 --> 00:08:17,480 Speaker 1: small caps there are up seven. In other words, mid 157 00:08:17,520 --> 00:08:21,160 Speaker 1: caps almost doubled. That is a crazy stat to me. 158 00:08:21,200 --> 00:08:24,240 Speaker 1: I was shocked by that. Something to consider when you're 159 00:08:24,560 --> 00:08:26,120 Speaker 1: investing in the stock market. A lot of people like 160 00:08:26,120 --> 00:08:28,400 Speaker 1: broad market strategies which include mid caps, but if you 161 00:08:28,440 --> 00:08:31,080 Speaker 1: go just large, you know, kind of missing out on that. 162 00:08:31,160 --> 00:08:32,600 Speaker 1: So I kind of what I what I like about 163 00:08:32,600 --> 00:08:34,680 Speaker 1: this though, too, is that the leverage speaks to like 164 00:08:34,679 --> 00:08:38,000 Speaker 1: the steroid era of baseball. Yeah, it's Barry Bonds, bonds 165 00:08:38,160 --> 00:08:40,920 Speaker 1: like Mike Trout. Well, I would go with Roger Marris 166 00:08:41,120 --> 00:08:43,560 Speaker 1: A right, Roger Marris. There you can have your contemporary, 167 00:08:43,600 --> 00:08:52,320 Speaker 1: you can have your class there you go. So erk. 168 00:08:52,400 --> 00:08:56,680 Speaker 1: One thing that people always ask about is um public companies, right, 169 00:08:56,720 --> 00:08:59,440 Speaker 1: because the needs you have basically you're only investing in 170 00:08:59,440 --> 00:09:02,240 Speaker 1: public market. But if you look at the data over 171 00:09:02,280 --> 00:09:04,600 Speaker 1: the past, you know, fifteen years or whatever, A, there's 172 00:09:04,760 --> 00:09:08,880 Speaker 1: fewer public companies overall, and b there's fewer and fewer 173 00:09:08,920 --> 00:09:13,000 Speaker 1: companies actually going public. So is there an option for 174 00:09:13,080 --> 00:09:16,760 Speaker 1: investors to actually engage it in private markets via E 175 00:09:16,840 --> 00:09:20,640 Speaker 1: t f s? Not directly, No is the answer, and 176 00:09:20,720 --> 00:09:22,920 Speaker 1: this is probably why I think, you know, hedge funds 177 00:09:22,920 --> 00:09:25,679 Speaker 1: and other parts of finance are always going to have 178 00:09:26,200 --> 00:09:29,360 Speaker 1: a home because ETFs can only track what's publicly available. However, 179 00:09:29,840 --> 00:09:32,600 Speaker 1: with that said, I've heard a few arguments recently and 180 00:09:32,720 --> 00:09:37,040 Speaker 1: I'll throw out some options. Surrogates. Microcap stocks have been 181 00:09:37,120 --> 00:09:39,960 Speaker 1: argued as a close thing to private equity because these 182 00:09:39,960 --> 00:09:43,120 Speaker 1: are companies that are smaller, no analysts coverage, they don't 183 00:09:43,360 --> 00:09:46,200 Speaker 1: their financial strength is lower. How small are we talking 184 00:09:46,240 --> 00:09:48,839 Speaker 1: with the microcap These are companies with market cap of 185 00:09:48,920 --> 00:09:52,680 Speaker 1: fifty million, two about million. And what's interesting about microcaps 186 00:09:52,720 --> 00:09:55,959 Speaker 1: is there's like, there's a couple of microcap ets. IWC 187 00:09:56,080 --> 00:09:58,320 Speaker 1: for my Shares is the biggest one. It holds a 188 00:09:58,400 --> 00:10:02,160 Speaker 1: thousand stocks. And I looked if you take the broad 189 00:10:02,200 --> 00:10:05,200 Speaker 1: market e t F like v t I, which holds 190 00:10:05,640 --> 00:10:09,880 Speaker 1: you know, three thousand large, mid, small, the market cap, 191 00:10:10,559 --> 00:10:13,560 Speaker 1: it barely has any microcaps. So there's a thousand stocks 192 00:10:13,559 --> 00:10:15,520 Speaker 1: out there that are not even in the broad ones. 193 00:10:15,920 --> 00:10:19,240 Speaker 1: The thing is, those thousand stocks together only equal one 194 00:10:19,280 --> 00:10:23,400 Speaker 1: too of the entire market. That said, nobody is really 195 00:10:23,440 --> 00:10:25,840 Speaker 1: buying or getting exposure to these thousand stocks. I think 196 00:10:25,880 --> 00:10:27,839 Speaker 1: that's just interesting alone that there's a thousand companies that 197 00:10:27,880 --> 00:10:30,520 Speaker 1: almost nobody owns because microcap ETFs have I don't know, 198 00:10:30,559 --> 00:10:34,400 Speaker 1: around a billion maybe less um. So that's one option 199 00:10:34,520 --> 00:10:36,560 Speaker 1: for people who might want to just get to companies 200 00:10:36,559 --> 00:10:39,640 Speaker 1: that are closer to the private stage. Another option is 201 00:10:39,640 --> 00:10:42,160 Speaker 1: there's an e t F called b U Y. This 202 00:10:42,240 --> 00:10:45,440 Speaker 1: is an et F that's uh synthetically trying to get 203 00:10:45,440 --> 00:10:48,400 Speaker 1: you private equity returns by looking for companies that have 204 00:10:48,520 --> 00:10:51,199 Speaker 1: those attributes. So it's sort of like the microcap model, 205 00:10:51,200 --> 00:10:53,600 Speaker 1: except it's going out for mid small and just looking 206 00:10:53,640 --> 00:10:56,720 Speaker 1: at companies that have similar attributes and trying to basically 207 00:10:56,760 --> 00:11:00,960 Speaker 1: replicate the private equity through public equity. Interesting. One caveat 208 00:11:01,000 --> 00:11:04,079 Speaker 1: that one's pretty expensive, just be careful, doesn't trade a lot, 209 00:11:04,160 --> 00:11:06,920 Speaker 1: it's very new. Just a caveat on buy. Where's the 210 00:11:06,960 --> 00:11:09,360 Speaker 1: microcap ETFs have a long track. I think it's all 211 00:11:09,360 --> 00:11:11,720 Speaker 1: about ten years old um, and they're a little more 212 00:11:11,760 --> 00:11:15,840 Speaker 1: liquid in terms of trading volume. UM. The third way 213 00:11:15,880 --> 00:11:18,360 Speaker 1: is there's a private equity et f. The tracks private 214 00:11:18,360 --> 00:11:22,280 Speaker 1: equity companies that are publicly listed in other words like KKR. 215 00:11:22,800 --> 00:11:26,079 Speaker 1: These are companies that, yeah, they manage private equity funds. 216 00:11:26,440 --> 00:11:29,199 Speaker 1: This is a way to invest in them. However, you're 217 00:11:29,240 --> 00:11:31,840 Speaker 1: gonna get a lot more exposure to things that are 218 00:11:31,880 --> 00:11:35,439 Speaker 1: not private equity, like just general macro movements, the FED, 219 00:11:35,920 --> 00:11:38,280 Speaker 1: those kind of things will push around these big stocks 220 00:11:38,880 --> 00:11:42,600 Speaker 1: just as much as their revenues. So it's it's almost 221 00:11:42,640 --> 00:11:45,960 Speaker 1: like playing equity our energy stocks through xl E when 222 00:11:46,000 --> 00:11:49,040 Speaker 1: you want oil. I think there's some disconnect there. So 223 00:11:49,120 --> 00:11:52,200 Speaker 1: it's these are all imperfect ways, but they're just some 224 00:11:52,240 --> 00:11:54,640 Speaker 1: options out there. I think if people are really on 225 00:11:54,679 --> 00:12:03,120 Speaker 1: the hunt for something that's private equity esque. So Eric, 226 00:12:03,120 --> 00:12:07,280 Speaker 1: there's this plan. It's called marijuana. I've heard of it. 227 00:12:07,280 --> 00:12:10,320 Speaker 1: It's kind of popular in some places. It's even becoming legal. 228 00:12:11,000 --> 00:12:14,320 Speaker 1: You know. There's medical marijuana, there's recreational marijuana, which more 229 00:12:14,320 --> 00:12:16,880 Speaker 1: and more stamps are adopting. And then there's an entire 230 00:12:16,920 --> 00:12:19,640 Speaker 1: country just to the north called Canada. Canada is in 231 00:12:19,640 --> 00:12:23,800 Speaker 1: the process of legalizing recreational marijuana. So what's going to 232 00:12:23,920 --> 00:12:27,440 Speaker 1: happen with e t f s and marijuana? Popular question? 233 00:12:27,520 --> 00:12:29,440 Speaker 1: In fact, I don't just get this on Twitter, but 234 00:12:29,559 --> 00:12:32,720 Speaker 1: when I traveled around, people would ask me. People internal 235 00:12:32,800 --> 00:12:36,160 Speaker 1: here who just have jobs doing whatever have said, hey, here, 236 00:12:36,200 --> 00:12:39,280 Speaker 1: potty TF. I think they sense that they want to 237 00:12:39,280 --> 00:12:41,719 Speaker 1: get in on this early, and they want an e 238 00:12:41,800 --> 00:12:44,839 Speaker 1: t F because it diversifies, because they don't want to 239 00:12:44,840 --> 00:12:46,520 Speaker 1: go around trying to pick one of these pot stocks. 240 00:12:46,520 --> 00:12:49,120 Speaker 1: They're very small, they could blow up. There's a a 241 00:12:49,160 --> 00:12:53,120 Speaker 1: lot of risk volatil yes, and so a pot e 242 00:12:53,240 --> 00:12:55,880 Speaker 1: t F basically cuts that risk in half. So the 243 00:12:55,880 --> 00:12:59,160 Speaker 1: there's a couple of marijuana eat in half. So it 244 00:12:59,240 --> 00:13:02,200 Speaker 1: takes basically, if you take the volatility of the average 245 00:13:02,200 --> 00:13:05,680 Speaker 1: stock in say the Canadian Party t F or the 246 00:13:05,679 --> 00:13:08,640 Speaker 1: one in the US. The E t F has half 247 00:13:08,679 --> 00:13:12,000 Speaker 1: the VALL as the of the average stock, which makes sense, 248 00:13:12,120 --> 00:13:15,760 Speaker 1: right because you're sort of through that diversification. You do 249 00:13:15,880 --> 00:13:18,760 Speaker 1: cut your single stock VALL in half, and people like 250 00:13:18,880 --> 00:13:21,480 Speaker 1: that is a way to play that because believe me, 251 00:13:21,520 --> 00:13:24,120 Speaker 1: it's volatile enough. The potty t F is about five 252 00:13:24,160 --> 00:13:26,439 Speaker 1: times the volatile of the SMP, so you can imagine 253 00:13:26,440 --> 00:13:28,800 Speaker 1: one of these stocks could be ten times. So these 254 00:13:28,840 --> 00:13:31,200 Speaker 1: ETFs already exists. What are the tickers? The one in 255 00:13:31,240 --> 00:13:33,520 Speaker 1: Canada that came out first. Canada leads the US a 256 00:13:33,520 --> 00:13:35,640 Speaker 1: lot in new E t F launches. Their regulators are 257 00:13:35,720 --> 00:13:39,079 Speaker 1: very liberal. H M m J is the ticker in Canada, 258 00:13:40,559 --> 00:13:43,640 Speaker 1: m m J. The tickers aren't that great. You think 259 00:13:43,640 --> 00:13:47,520 Speaker 1: they're better. I think though. I think issuers didn't want 260 00:13:47,520 --> 00:13:50,480 Speaker 1: to like do a touchdown dance after they got approval 261 00:13:50,520 --> 00:13:52,560 Speaker 1: and like rub it in or make it more um 262 00:13:52,679 --> 00:13:56,320 Speaker 1: because I think the regulators are a little like, uh 263 00:13:56,440 --> 00:13:59,240 Speaker 1: not thrilled with letting E t F s out like this, 264 00:13:59,400 --> 00:14:01,559 Speaker 1: either in Canada or the US with the U S ticker. 265 00:14:02,480 --> 00:14:05,599 Speaker 1: The U S ticker is m J, M and J, 266 00:14:05,840 --> 00:14:09,520 Speaker 1: which is a little more obvious. I think yeah totally. Um, 267 00:14:10,160 --> 00:14:13,000 Speaker 1: I think of Michael Jordan and Michael Jackson, you can 268 00:14:13,000 --> 00:14:15,520 Speaker 1: think that way and the guy who created it differently. 269 00:14:16,440 --> 00:14:19,000 Speaker 1: But there is one in registration with the ticker TOKE, 270 00:14:19,960 --> 00:14:22,880 Speaker 1: which is pretty good. That's a verb. Tickers are the best, 271 00:14:22,920 --> 00:14:25,840 Speaker 1: and that one is a good one. So MJ is 272 00:14:25,880 --> 00:14:27,720 Speaker 1: the one in the US. Now there's a big difference. 273 00:14:27,760 --> 00:14:30,440 Speaker 1: The US one holds more US stocks and has a 274 00:14:30,440 --> 00:14:32,680 Speaker 1: little more filler. The one in Canada, I think, is 275 00:14:32,680 --> 00:14:35,960 Speaker 1: more of a pure play and holds Canadian stocks. The 276 00:14:35,960 --> 00:14:38,120 Speaker 1: Canadian pot companies are the ones that have done way 277 00:14:38,160 --> 00:14:41,000 Speaker 1: better because it's it's pushing, it's moving along faster there 278 00:14:41,040 --> 00:14:43,840 Speaker 1: and Ken Shay of Bloomberg Intelligence gave me some really 279 00:14:43,880 --> 00:14:47,280 Speaker 1: compelling numbers on the marijuana industry. If you look the 280 00:14:47,440 --> 00:14:51,840 Speaker 1: sales last year in Canada were six million dollars, but 281 00:14:51,880 --> 00:14:54,080 Speaker 1: they're projected to go in a year and a half 282 00:14:54,480 --> 00:15:00,360 Speaker 1: to five billions. Does yes, half medicinal, half recu national, 283 00:15:00,520 --> 00:15:03,440 Speaker 1: So it's the recreational market that's the big driver. And 284 00:15:03,480 --> 00:15:06,920 Speaker 1: that's five billion that I mentioned in Canada that other 285 00:15:06,960 --> 00:15:09,080 Speaker 1: companies predict a little higher, like Dewitch Bank. I believe 286 00:15:09,120 --> 00:15:12,360 Speaker 1: this is a seven billion. Globally it's twenty billion. And 287 00:15:12,720 --> 00:15:15,280 Speaker 1: recently I was in Canada at the inside et F 288 00:15:15,360 --> 00:15:17,760 Speaker 1: S Canada conference and one of the panels they do, 289 00:15:18,200 --> 00:15:20,600 Speaker 1: which I'm involved with, is six or seven E t 290 00:15:20,720 --> 00:15:22,720 Speaker 1: F Ana. Let's get up on stage and they all 291 00:15:22,760 --> 00:15:25,080 Speaker 1: have to argue for what the best new launch was. 292 00:15:25,160 --> 00:15:27,440 Speaker 1: It's sort of a rat battle for E t F 293 00:15:27,440 --> 00:15:29,640 Speaker 1: analysts and the one that you were involved in a 294 00:15:29,720 --> 00:15:33,120 Speaker 1: rat battle, I was, except that's et F analysis that 295 00:15:33,160 --> 00:15:36,280 Speaker 1: I'm throwing down, you know, and then the audience votes no, 296 00:15:36,360 --> 00:15:38,720 Speaker 1: there's no beat. But I have power points lives. So 297 00:15:38,760 --> 00:15:40,640 Speaker 1: what I showed was I showed what do you think 298 00:15:40,680 --> 00:15:42,480 Speaker 1: of when I say, Mara want. I showed pictures of 299 00:15:42,840 --> 00:15:46,040 Speaker 1: you know, um Grateful Day Concert, Pineapple Express, Cheech and Chong, 300 00:15:46,120 --> 00:15:47,520 Speaker 1: and I said, this is what most people think of. 301 00:15:47,880 --> 00:15:50,040 Speaker 1: But then I showed the bar chart of the growth. 302 00:15:50,920 --> 00:15:53,040 Speaker 1: This could be what you should think of when you 303 00:15:53,080 --> 00:15:56,760 Speaker 1: think of this industry. The question is how much more 304 00:15:56,840 --> 00:15:58,920 Speaker 1: can it go? Up? Right? H MMJ is a hundred 305 00:15:58,920 --> 00:16:01,920 Speaker 1: and six in the past twelve months. The argument back 306 00:16:01,960 --> 00:16:04,960 Speaker 1: after I laid down my case for it, The argument back, 307 00:16:05,000 --> 00:16:07,120 Speaker 1: because you've got to rebuttal they came back was, well, 308 00:16:07,200 --> 00:16:09,680 Speaker 1: a lot of people this isn't new. People know this 309 00:16:09,720 --> 00:16:12,800 Speaker 1: is growing. The price to earnings ratio are extremely high. 310 00:16:12,840 --> 00:16:14,960 Speaker 1: It's like sort of the same argument for like internet 311 00:16:15,000 --> 00:16:16,880 Speaker 1: stocks in the late nineties. One it could all go 312 00:16:16,960 --> 00:16:23,320 Speaker 1: up and smoke. That's pretty good, obvious but good. So 313 00:16:24,080 --> 00:16:26,640 Speaker 1: I didn't win. I came in I think second, but 314 00:16:26,720 --> 00:16:29,520 Speaker 1: third based on the audience um sort of applause meter. 315 00:16:29,640 --> 00:16:32,200 Speaker 1: I feel I feel like this is a consistent thing, 316 00:16:32,280 --> 00:16:33,920 Speaker 1: Like you end up in these show downs and you 317 00:16:33,920 --> 00:16:36,560 Speaker 1: don't take calm the gold. Yeah, but last the one 318 00:16:36,600 --> 00:16:39,160 Speaker 1: I did before, I was sixth, so I'm moving up. 319 00:16:39,240 --> 00:16:42,640 Speaker 1: I think I'm gonna take it next time around. Yes, 320 00:16:43,160 --> 00:16:45,600 Speaker 1: because I realized it's not really the ticker or the 321 00:16:45,680 --> 00:16:48,240 Speaker 1: validity of the e t F. It's the show. Whoever 322 00:16:48,440 --> 00:16:50,680 Speaker 1: just puts on the best show. And so I've raised 323 00:16:50,720 --> 00:16:53,480 Speaker 1: my performance this time and got higher on the ladder. 324 00:16:53,480 --> 00:16:57,560 Speaker 1: But anyway, I will so you can invest in pottytfs 325 00:16:57,960 --> 00:16:59,760 Speaker 1: MJ's won the U s h MMJ is the one 326 00:16:59,760 --> 00:17:02,840 Speaker 1: of what's the US one whole It's it's a mixture 327 00:17:02,920 --> 00:17:07,920 Speaker 1: of Canada and US stocks. It's got mid and small caps. Again, 328 00:17:07,960 --> 00:17:09,960 Speaker 1: I asked ken Sha to look at the holdings. He said, 329 00:17:10,000 --> 00:17:15,600 Speaker 1: well about it is sort of directly linked to cannabis sales, 330 00:17:16,119 --> 00:17:18,479 Speaker 1: but like one company in there. I think Scott's Miracle 331 00:17:18,560 --> 00:17:21,359 Speaker 1: Grow is in the e t F. That clearly pot 332 00:17:21,520 --> 00:17:23,520 Speaker 1: is not a huge but it you know they are 333 00:17:23,600 --> 00:17:26,840 Speaker 1: working in the industry. The question is as the industry 334 00:17:26,920 --> 00:17:30,040 Speaker 1: gets a little more, get bigger, they will give more 335 00:17:30,080 --> 00:17:32,200 Speaker 1: weight to the pure play companies. But when a new 336 00:17:32,359 --> 00:17:35,120 Speaker 1: industry or THEMTF starts, they kind of have to fill 337 00:17:35,160 --> 00:17:38,159 Speaker 1: it out with some bigger, liquid names to make the 338 00:17:38,240 --> 00:17:41,600 Speaker 1: basket actually liquid. For a little shake in your dubie. 339 00:17:50,200 --> 00:17:53,800 Speaker 1: Everybody hates paying taxes, and we know that ETFs have 340 00:17:54,080 --> 00:17:58,960 Speaker 1: some tax benefits. Joe Panino at Panin ll C, ask, 341 00:17:59,040 --> 00:18:02,159 Speaker 1: can you do it? An analysty the tax efficiency of 342 00:18:02,359 --> 00:18:06,479 Speaker 1: e t F s versus mutual funds versus hedge funds. Right, 343 00:18:06,560 --> 00:18:08,680 Speaker 1: The data is is tough to crunch on this, but 344 00:18:08,840 --> 00:18:11,600 Speaker 1: morning Star actually did an analysis. I'll give them credit 345 00:18:11,680 --> 00:18:13,680 Speaker 1: for this. If you look at the e t F 346 00:18:13,800 --> 00:18:17,360 Speaker 1: capital gains distributions over time, it's almost the perfect record. 347 00:18:17,400 --> 00:18:20,040 Speaker 1: It almost looks like a picture. No hits, no runs, no, 348 00:18:20,560 --> 00:18:23,360 Speaker 1: you just look almost a perfect game. There's occasions where 349 00:18:23,400 --> 00:18:25,760 Speaker 1: they will distribute to capital gains, but it's so rare 350 00:18:26,720 --> 00:18:28,560 Speaker 1: um and that's what people like about e t s. 351 00:18:28,640 --> 00:18:30,960 Speaker 1: It's a big I put A top five attribute is 352 00:18:31,119 --> 00:18:33,800 Speaker 1: the fact that you don't get tax for doing for 353 00:18:33,920 --> 00:18:36,359 Speaker 1: just sitting there and a mutual fund. You can if 354 00:18:36,400 --> 00:18:39,080 Speaker 1: a big investor were to leave the mutual fund, the 355 00:18:39,160 --> 00:18:41,440 Speaker 1: manager has to cash them out. How do they do that? 356 00:18:41,480 --> 00:18:44,160 Speaker 1: They sell some of the stocks. That's a taxable event, 357 00:18:44,320 --> 00:18:46,919 Speaker 1: and you sit there in the fund. You get a distribution, 358 00:18:47,600 --> 00:18:49,720 Speaker 1: and e t F do not have that. You still 359 00:18:49,760 --> 00:18:52,119 Speaker 1: get tax when you sell it, but you don't get 360 00:18:52,200 --> 00:18:55,080 Speaker 1: taxed just for doing, like a by standard kind of tax. 361 00:18:55,800 --> 00:18:59,200 Speaker 1: Huge deal. E t f s almost no capital gains 362 00:18:59,240 --> 00:19:04,119 Speaker 1: distributions across their life. Mutual funds big problem. And he 363 00:19:04,160 --> 00:19:06,600 Speaker 1: also asked about hedge funds, So how to hedge fund 364 00:19:06,640 --> 00:19:08,639 Speaker 1: stack up? Same deal with the mutual funds. The thing 365 00:19:08,720 --> 00:19:10,119 Speaker 1: is a lot of people who are in hedge funds 366 00:19:10,160 --> 00:19:13,280 Speaker 1: are endowments, pensions who are going pre tax. All of 367 00:19:13,320 --> 00:19:16,720 Speaker 1: what I just said only involves in after tax money, 368 00:19:17,400 --> 00:19:20,080 Speaker 1: which brings us back to this idea that if you 369 00:19:20,400 --> 00:19:22,240 Speaker 1: put an e t F, a mutual fund, a hedge 370 00:19:22,240 --> 00:19:25,440 Speaker 1: fund in a level playing field after tax e t 371 00:19:25,600 --> 00:19:33,359 Speaker 1: F almost always going to win that battle. Oh, I 372 00:19:33,440 --> 00:19:37,320 Speaker 1: like this one from at stand the m F man. 373 00:19:39,040 --> 00:19:42,960 Speaker 1: It's a great hand no no comment. Yes, I don't 374 00:19:42,960 --> 00:19:46,800 Speaker 1: think it's mutual fund man. No comment. Uh, here's what 375 00:19:46,920 --> 00:19:50,360 Speaker 1: he asked. What are your thoughts on index provider selection 376 00:19:50,880 --> 00:19:54,119 Speaker 1: like M s C I versus foot c F t S. 377 00:19:54,800 --> 00:19:57,160 Speaker 1: This is a great question and it's huge. You really 378 00:19:57,200 --> 00:19:59,400 Speaker 1: should look at the index. The index is the thing. 379 00:20:00,119 --> 00:20:01,879 Speaker 1: Most people just look at the issue or now and 380 00:20:01,960 --> 00:20:04,800 Speaker 1: the costs and the exposure. You know, A MSCI versus 381 00:20:04,840 --> 00:20:07,520 Speaker 1: Footsie is a great example. People usually bring up the 382 00:20:07,520 --> 00:20:10,200 Speaker 1: emerging markets. M s C I has South Korean there 383 00:20:10,200 --> 00:20:12,760 Speaker 1: at about a fift weight foot see doesn't they consider 384 00:20:12,840 --> 00:20:16,359 Speaker 1: South Korea developed market? So if you were going and 385 00:20:16,520 --> 00:20:18,919 Speaker 1: using m s C I, which is the I Shares 386 00:20:19,280 --> 00:20:21,159 Speaker 1: version for your international you should use them as a 387 00:20:21,200 --> 00:20:23,840 Speaker 1: set at least because the developed and emerging will be 388 00:20:23,880 --> 00:20:26,080 Speaker 1: in line. If you used one or the other, you 389 00:20:26,200 --> 00:20:28,680 Speaker 1: might have extra or no South Korea. So you really 390 00:20:28,720 --> 00:20:30,720 Speaker 1: should think about that, and that's why some people do 391 00:20:30,840 --> 00:20:33,920 Speaker 1: like to use indexes sort of together for their broad exposure. 392 00:20:34,320 --> 00:20:37,720 Speaker 1: I do think that looking at the index though, ultimately 393 00:20:37,800 --> 00:20:39,959 Speaker 1: comes leads back to looking at the holdings the waitings, 394 00:20:40,000 --> 00:20:41,920 Speaker 1: which we always talk about how is it weighted, So 395 00:20:42,040 --> 00:20:44,520 Speaker 1: it's not that indifferent than looking at the exposure. But 396 00:20:44,640 --> 00:20:46,400 Speaker 1: it is important. But this is you know, it's really 397 00:20:46,400 --> 00:20:50,959 Speaker 1: important because uh, it's about what you're gonna buy, right, 398 00:20:51,040 --> 00:20:53,199 Speaker 1: And like say, China is an interesting one. There's been 399 00:20:53,359 --> 00:20:56,480 Speaker 1: a lot of conversation about when China is in an index, 400 00:20:56,520 --> 00:20:59,840 Speaker 1: when it isn't an in an index. For instance, there's 401 00:21:00,080 --> 00:21:04,679 Speaker 1: UM E t F E M M right which noticed 402 00:21:05,080 --> 00:21:07,200 Speaker 1: it was created by a guy who basically was like, 403 00:21:07,359 --> 00:21:10,000 Speaker 1: I want China exposure and I'm not getting it anywhere 404 00:21:10,080 --> 00:21:12,600 Speaker 1: else because of the way the indexes are structured, right, 405 00:21:12,600 --> 00:21:14,280 Speaker 1: which brings us to the fact that there's a lot 406 00:21:14,359 --> 00:21:18,800 Speaker 1: of new formed independent indexes and what's called self indexing 407 00:21:19,280 --> 00:21:20,840 Speaker 1: because when you have an E t F, you have 408 00:21:20,920 --> 00:21:22,720 Speaker 1: to pay ms C I and foot see if you 409 00:21:22,800 --> 00:21:25,720 Speaker 1: want to license, and it goes into your basis points. 410 00:21:25,920 --> 00:21:27,920 Speaker 1: So what you're going to find more and more is 411 00:21:28,440 --> 00:21:30,480 Speaker 1: self indexing. Even the big guys, I think are going 412 00:21:30,560 --> 00:21:32,560 Speaker 1: to start to wean off of the big brand names 413 00:21:33,000 --> 00:21:35,400 Speaker 1: and just do it themselves. I think there's a couple exceptions, 414 00:21:36,080 --> 00:21:38,840 Speaker 1: S and P five hundred ms c I emerging markets. 415 00:21:38,880 --> 00:21:40,960 Speaker 1: These are rock stars. They're almost bigger than the e 416 00:21:41,080 --> 00:21:43,640 Speaker 1: t F. But outside of a couple of rock star indexes, 417 00:21:44,160 --> 00:21:46,640 Speaker 1: a lot of the indexes are not that big of adeal. 418 00:21:46,640 --> 00:21:49,600 Speaker 1: I've seen an index get switched by an issuer and 419 00:21:49,680 --> 00:21:53,920 Speaker 1: the flows don't change. Because there's surveys that show advisors 420 00:21:54,000 --> 00:21:57,520 Speaker 1: and retail in particular really are looking. They think the 421 00:21:57,560 --> 00:22:00,119 Speaker 1: brand name of the issuer is more important in the 422 00:22:00,200 --> 00:22:02,159 Speaker 1: brand name of the index, and they trust the you 423 00:22:02,200 --> 00:22:05,480 Speaker 1: know those names more, which is that's a really phenomenal shift, 424 00:22:05,760 --> 00:22:10,440 Speaker 1: totally right, because those the indexes have been forever the hemos. 425 00:22:11,520 --> 00:22:14,800 Speaker 1: Institutional money typically is more focused on the index they 426 00:22:14,880 --> 00:22:17,080 Speaker 1: are benchmark to the ms I, and they they're way 427 00:22:17,119 --> 00:22:20,040 Speaker 1: more into that. That's why it's important on institutional for 428 00:22:20,119 --> 00:22:22,360 Speaker 1: institutional clients to have that m c I or foot see. 429 00:22:22,680 --> 00:22:25,000 Speaker 1: But for retail, I think more and more they just 430 00:22:25,080 --> 00:22:26,800 Speaker 1: don't care. They'll just look to the issuer. Oh it's 431 00:22:26,800 --> 00:22:28,960 Speaker 1: Black Rocket, Stage Trade, it's Vanguard. I you know, I 432 00:22:29,200 --> 00:22:30,880 Speaker 1: trust the name. I don't really, they don't even look. 433 00:22:30,960 --> 00:22:33,080 Speaker 1: What's an example of somebody who's been self indexing lately. 434 00:22:33,440 --> 00:22:35,800 Speaker 1: Wisdom Tree started it. They only they make their own 435 00:22:35,800 --> 00:22:38,119 Speaker 1: indexes and then track them. But black Rock for the 436 00:22:38,200 --> 00:22:40,639 Speaker 1: first time ever self index two bond E t F s, 437 00:22:41,000 --> 00:22:42,840 Speaker 1: and I would look, that's major to me because they've 438 00:22:42,920 --> 00:22:45,439 Speaker 1: never done that before and they're major um. And then 439 00:22:45,480 --> 00:22:47,760 Speaker 1: you have other companies that have started to come out 440 00:22:47,800 --> 00:22:49,560 Speaker 1: with a Goldman sex the e T E t F 441 00:22:49,640 --> 00:22:52,680 Speaker 1: we mentioned earlier, GSLC. Goldman made that index and I 442 00:22:52,840 --> 00:22:55,359 Speaker 1: was tracking it, and that's ultimately what you'll find more 443 00:22:55,359 --> 00:22:58,080 Speaker 1: and more with big active mutual fund companies. They're going 444 00:22:58,160 --> 00:23:00,800 Speaker 1: to take their active secret sauce, turn it into an 445 00:23:00,840 --> 00:23:02,840 Speaker 1: index that's their own index, and then have an E 446 00:23:02,880 --> 00:23:11,400 Speaker 1: t F tracking it. Okay, So here's probably the most 447 00:23:11,520 --> 00:23:17,560 Speaker 1: basic question that a listener could ask, and I love it, 448 00:23:17,840 --> 00:23:20,879 Speaker 1: which is what's the best E t F for the 449 00:23:20,960 --> 00:23:25,080 Speaker 1: long term? Oh, that is a tough question. And I 450 00:23:25,119 --> 00:23:27,880 Speaker 1: do get asked this here and there, and I can't 451 00:23:27,880 --> 00:23:30,520 Speaker 1: give investment advice like that's that's against the rules for me. 452 00:23:30,640 --> 00:23:33,000 Speaker 1: But what I can do is I can point you 453 00:23:33,080 --> 00:23:35,320 Speaker 1: to an article I wrote in something I captured in 454 00:23:35,359 --> 00:23:37,680 Speaker 1: my book, and it's not one E t F but 455 00:23:37,760 --> 00:23:39,080 Speaker 1: it's two E t F and I call it the 456 00:23:39,080 --> 00:23:43,080 Speaker 1: Buffet Special. Warren Buffett, in one of his letters to investors, 457 00:23:43,119 --> 00:23:45,440 Speaker 1: his famous letters, said one of the investors asked him 458 00:23:45,640 --> 00:23:48,359 Speaker 1: what should I invest in? So he basically pointed to 459 00:23:48,480 --> 00:23:49,800 Speaker 1: his will and what he's going to do with his 460 00:23:49,920 --> 00:23:52,840 Speaker 1: fortune after he passed his way, and he said to 461 00:23:52,960 --> 00:23:57,640 Speaker 1: his wife, take my fortune, put it into an sp 462 00:23:58,320 --> 00:24:00,959 Speaker 1: index fund, preferably from Vanguard, and then take the other 463 00:24:01,080 --> 00:24:03,160 Speaker 1: ten percent and put it into short term treasury bills. 464 00:24:04,000 --> 00:24:06,240 Speaker 1: So you could do that with two E t F 465 00:24:06,320 --> 00:24:08,920 Speaker 1: s very easily and very cheaply. You can do it 466 00:24:09,000 --> 00:24:11,200 Speaker 1: with say VOO that's the Vanguard s and P five 467 00:24:11,280 --> 00:24:14,000 Speaker 1: hundred that's five basis points cost, or I VV the 468 00:24:14,080 --> 00:24:17,359 Speaker 1: I shares even cheaper at four. Then you can do there. 469 00:24:17,400 --> 00:24:19,639 Speaker 1: And then you could do ten percent into SHY or 470 00:24:19,840 --> 00:24:22,600 Speaker 1: s h V, which is just short term treasury builds, 471 00:24:22,960 --> 00:24:24,760 Speaker 1: and I think the expense ratio and that might be 472 00:24:24,920 --> 00:24:27,920 Speaker 1: ten or eleven basis points. So if you all in, 473 00:24:28,119 --> 00:24:30,639 Speaker 1: you're talking about five or six basis points for your 474 00:24:30,640 --> 00:24:34,879 Speaker 1: Buffet Special portfolio. And he claims that portfolio will outperform 475 00:24:35,000 --> 00:24:37,640 Speaker 1: all of the professionals, all of the institutions. I back 476 00:24:37,680 --> 00:24:39,760 Speaker 1: tested it, and it does. You look at the average 477 00:24:39,800 --> 00:24:42,720 Speaker 1: endowment versus that the buffet special does win. It'll obviously 478 00:24:42,760 --> 00:24:44,240 Speaker 1: have times when it might not be as well, but 479 00:24:44,359 --> 00:24:46,639 Speaker 1: over the long term, you know, it's hard to go 480 00:24:46,720 --> 00:24:49,280 Speaker 1: against warm buffet. So well, I can't recommend an e 481 00:24:49,320 --> 00:24:51,359 Speaker 1: T F. I can point you to what he said 482 00:24:51,600 --> 00:24:53,000 Speaker 1: and then fill in the two E T s to 483 00:24:53,080 --> 00:24:55,280 Speaker 1: sort of play out his recommendation. I think I'm gonna 484 00:24:55,440 --> 00:24:57,399 Speaker 1: walk over and figure out where I do this. But 485 00:24:57,760 --> 00:25:01,040 Speaker 1: put in a little holder for a buffet speci rolled ticker. 486 00:25:01,200 --> 00:25:04,080 Speaker 1: That sounds like a good idea. Yeah, using his name, 487 00:25:04,160 --> 00:25:11,920 Speaker 1: I think I'm not sure that one. I'm guessing. One 488 00:25:11,960 --> 00:25:14,119 Speaker 1: thing I'm really proud about with this podcast is we 489 00:25:14,200 --> 00:25:16,200 Speaker 1: have a great review and iTunes. Have you seen that, 490 00:25:16,320 --> 00:25:18,960 Speaker 1: Like it's like four and a half stars amazing. Yeah. No, 491 00:25:19,280 --> 00:25:22,520 Speaker 1: we're getting a lot of good, good star ratings and 492 00:25:22,600 --> 00:25:26,240 Speaker 1: mostly good comments. A couple other comments that we want 493 00:25:26,240 --> 00:25:28,639 Speaker 1: to talk about. Yeah, so the ones that are, hey, 494 00:25:28,720 --> 00:25:30,920 Speaker 1: you're doing a great job. Love the insight, you know 495 00:25:31,040 --> 00:25:33,680 Speaker 1: you love to hear that. Um, normally I don't even 496 00:25:33,720 --> 00:25:37,200 Speaker 1: re read reviews, but somebody you're like that, huh, yeah, 497 00:25:37,200 --> 00:25:38,720 Speaker 1: I don't because if you buy into the good ones, 498 00:25:38,720 --> 00:25:40,000 Speaker 1: you kind of have to buy into the bad ones. 499 00:25:40,080 --> 00:25:42,639 Speaker 1: And so I I did read them though, and I 500 00:25:42,680 --> 00:25:44,520 Speaker 1: want to address too, because I think other people may 501 00:25:44,560 --> 00:25:47,520 Speaker 1: feel this way. One guy says that I feel like 502 00:25:47,560 --> 00:25:51,720 Speaker 1: I'm getting sponsored content spoon fed to me. Um. I'm 503 00:25:51,720 --> 00:25:53,840 Speaker 1: a fan of ETFs. However, it's not all roses. There 504 00:25:53,840 --> 00:25:56,480 Speaker 1: are downside that need to be addressed. Right, So here's 505 00:25:56,520 --> 00:25:59,200 Speaker 1: the thing. Yes, it's it's sponsored, but you know everything 506 00:25:59,280 --> 00:26:02,480 Speaker 1: sponsored in the media. You first of all, we are 507 00:26:03,160 --> 00:26:05,760 Speaker 1: we are vetting et s properly here, and we did 508 00:26:05,800 --> 00:26:07,760 Speaker 1: a whole episode on the traffic light, I mean went 509 00:26:07,800 --> 00:26:10,840 Speaker 1: over ten things that could be nasty surprises and et 510 00:26:10,960 --> 00:26:12,600 Speaker 1: f s. We try to do the warts and all. 511 00:26:12,640 --> 00:26:15,360 Speaker 1: But here's the thing. E t s are really good. 512 00:26:15,400 --> 00:26:18,840 Speaker 1: They probably deserve more credit than critique, and that's why 513 00:26:18,920 --> 00:26:21,800 Speaker 1: the flows are so strong. Money goes where it's treated best. 514 00:26:22,320 --> 00:26:24,720 Speaker 1: If we were really gonna be spoon fetting or like 515 00:26:24,840 --> 00:26:27,160 Speaker 1: working for the man, we'd probably be trying to get 516 00:26:27,160 --> 00:26:29,560 Speaker 1: people to stay in active mutual funds because it makes 517 00:26:29,600 --> 00:26:32,440 Speaker 1: a ton more revenue. So I don't really agree with that, 518 00:26:32,600 --> 00:26:34,240 Speaker 1: but I understand kind of why he's saying it. But 519 00:26:34,480 --> 00:26:36,920 Speaker 1: you know we're not sponsored content, Like there's an advertisement 520 00:26:36,960 --> 00:26:39,080 Speaker 1: at the front of the show. That's that, right, What 521 00:26:39,520 --> 00:26:42,680 Speaker 1: you got one more that has been sticking with you 522 00:26:42,720 --> 00:26:44,600 Speaker 1: a little bit? We want to talk about it. Yeah, 523 00:26:44,760 --> 00:26:46,280 Speaker 1: this guy who, by the way I looked up he 524 00:26:46,400 --> 00:26:49,280 Speaker 1: hasn't written a positive view about anything on iTunes. Okay, 525 00:26:49,320 --> 00:26:51,000 Speaker 1: so he's kind of a nasty guy. But I hear 526 00:26:51,040 --> 00:26:53,600 Speaker 1: what he's saying, goes, Um, do you also do you 527 00:26:53,720 --> 00:26:56,800 Speaker 1: like pop culture references? We too love pop culture and 528 00:26:57,000 --> 00:26:59,840 Speaker 1: give you two minutes of filler for every actual minute 529 00:26:59,880 --> 00:27:03,680 Speaker 1: of E T F information. So I get that there's 530 00:27:03,680 --> 00:27:05,480 Speaker 1: been a couple episodes and guessing he does not like 531 00:27:05,560 --> 00:27:09,920 Speaker 1: the Squeaky Wheel yeah, or my police Academy reference. Afterwards. 532 00:27:10,480 --> 00:27:14,480 Speaker 1: Here's the thing, Um, I do a lot of premium 533 00:27:14,520 --> 00:27:16,399 Speaker 1: content on the terminal, and the TV show I do 534 00:27:16,520 --> 00:27:19,680 Speaker 1: is much more for it, you know, advisors and professionals. 535 00:27:20,160 --> 00:27:23,320 Speaker 1: This is purposely for people living outside of the financial bubble. 536 00:27:23,480 --> 00:27:26,320 Speaker 1: There are plenty of PhD type podcasts where they talk 537 00:27:26,400 --> 00:27:29,360 Speaker 1: to each other for each other. This isn't that we're 538 00:27:29,400 --> 00:27:33,840 Speaker 1: trying to We're trying to make it relaxing, fun, normal. Yeah, 539 00:27:33,880 --> 00:27:37,920 Speaker 1: and also give you the information in a way that 540 00:27:38,160 --> 00:27:41,040 Speaker 1: isn't like we're teaching a class, so it's by design. 541 00:27:41,160 --> 00:27:44,360 Speaker 1: I'm okay getting that, but alright, look, on occasion, maybe 542 00:27:44,359 --> 00:27:46,040 Speaker 1: we go a little too far down the eighties rabbit hole. 543 00:27:46,119 --> 00:27:49,040 Speaker 1: The best critique I got on that front was um 544 00:27:49,320 --> 00:27:52,960 Speaker 1: a listener who said, if I wanted Radiohead, I would 545 00:27:52,960 --> 00:27:56,240 Speaker 1: have had a Radiohead podcast. There really should be a 546 00:27:56,320 --> 00:27:59,760 Speaker 1: Radiohead podcast. I would. You know, we should know. We're 547 00:27:59,760 --> 00:28:02,680 Speaker 1: gonnavolunteer yourself. We can pitch it. I can hear the 548 00:28:02,720 --> 00:28:05,920 Speaker 1: response already. Yeah, the radio Head one was probably the 549 00:28:06,000 --> 00:28:07,879 Speaker 1: most far out we've gone. But look we're trying to 550 00:28:08,359 --> 00:28:10,920 Speaker 1: We're hanging out with you for twenty five minutes. It's 551 00:28:10,960 --> 00:28:15,160 Speaker 1: oddly intimate. It is. I enjoy being intimate with you. Eric. 552 00:28:19,040 --> 00:28:22,399 Speaker 1: Thanks for listening to Trillions until next time. You can 553 00:28:22,440 --> 00:28:26,520 Speaker 1: find us on the Bloomberg terminal, Bloomberg dot com, Apple Podcasts, 554 00:28:26,920 --> 00:28:31,000 Speaker 1: and wherever else you listen to podcasts. Trillions is produced 555 00:28:31,000 --> 00:28:34,879 Speaker 1: by Magnus Hendrickson. Francesco Levy is the head of Bloomberg 556 00:28:35,000 --> 00:28:36,440 Speaker 1: podcast Bye