1 00:00:03,120 --> 00:00:08,360 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:10,400 --> 00:00:13,240 Speaker 2: Hello and welcome to The Money Stuff podcast, your weekly 3 00:00:13,280 --> 00:00:18,239 Speaker 2: podcast where we talk about stuff related to money. I'm 4 00:00:18,239 --> 00:00:20,799 Speaker 2: Matt Levie and I are at the Money Stuff column for. 5 00:00:20,840 --> 00:00:24,000 Speaker 1: Bloomberger Painton, and I'm Katie Greifeld, a reporter for Bloomberg 6 00:00:24,040 --> 00:00:25,880 Speaker 1: News and an anchor for Bloomberg Television. 7 00:00:27,240 --> 00:00:29,160 Speaker 2: What are we talking about today? 8 00:00:29,560 --> 00:00:32,320 Speaker 1: Arbageddon? I hope I said that right, and then. 9 00:00:32,200 --> 00:00:35,360 Speaker 2: We're currently spelled it because it's not a real word. 10 00:00:35,400 --> 00:00:36,239 Speaker 2: I'm not going to correct this. 11 00:00:36,360 --> 00:00:39,880 Speaker 1: That's good. There's an upside there. We're going to talk 12 00:00:40,080 --> 00:00:45,479 Speaker 1: about securities fraud in the burrito market, and then we're 13 00:00:45,479 --> 00:00:53,159 Speaker 1: going to talk about leverage. Warren Buffett. Let's see how 14 00:00:53,200 --> 00:00:56,639 Speaker 1: it goes. I didn't look at anything, so I don't 15 00:00:56,640 --> 00:00:58,280 Speaker 1: know if I did that. I don't know if I 16 00:00:58,280 --> 00:01:01,120 Speaker 1: did that in the right order, but I did it. 17 00:01:01,120 --> 00:01:05,440 Speaker 2: In order of your own interest, which is interest. Yeah, 18 00:01:05,480 --> 00:01:06,480 Speaker 2: that's what we need, all right. 19 00:01:06,800 --> 00:01:11,440 Speaker 1: I am intoxicated with power anyway. Merger arb arbageddon, Arbageddon. 20 00:01:11,480 --> 00:01:13,560 Speaker 2: I think arbageddon is a term that has applied to 21 00:01:13,600 --> 00:01:16,280 Speaker 2: like something that happened in my twenty fourteen It doesn't matter, 22 00:01:16,520 --> 00:01:17,319 Speaker 2: but yeah, does the. 23 00:01:17,400 --> 00:01:22,440 Speaker 1: Term arbageddon apply here. No, yeah, So why are we 24 00:01:22,440 --> 00:01:23,520 Speaker 1: saying it's an arbageddon? 25 00:01:23,600 --> 00:01:25,920 Speaker 2: Oh no, we're not. So what happened is that there 26 00:01:25,959 --> 00:01:27,880 Speaker 2: have been over the years bad things that happened to 27 00:01:27,880 --> 00:01:32,399 Speaker 2: merger arb firms, most recently when the handbag deal blew up, 28 00:01:32,640 --> 00:01:35,080 Speaker 2: which is what is it a tapestry in Capri or 29 00:01:35,160 --> 00:01:37,720 Speaker 2: the companies that it's like a very narrow market segment 30 00:01:37,880 --> 00:01:42,720 Speaker 2: definition which is like expensive but not very expensive handbags as. 31 00:01:42,640 --> 00:01:44,880 Speaker 1: Far as I can affordable luxury. 32 00:01:44,480 --> 00:01:47,800 Speaker 2: Afordable luxury, something like that. And so those companies dominate 33 00:01:47,840 --> 00:01:50,600 Speaker 2: the market for affordable luxury. And so they announced the 34 00:01:50,680 --> 00:01:54,560 Speaker 2: merger merger arbit treasure is loaded up on Capri stock, 35 00:01:54,640 --> 00:01:57,680 Speaker 2: I think, and then the Federal Trade Commissions sued to 36 00:01:57,680 --> 00:02:00,240 Speaker 2: block the deal. A judge agreed at the FT and 37 00:02:00,320 --> 00:02:03,400 Speaker 2: blocked the deal. Capri's stock fell like forty nine percent, 38 00:02:04,000 --> 00:02:07,040 Speaker 2: and some merger ARBs they lost a lot of money. Yeah, 39 00:02:07,080 --> 00:02:10,000 Speaker 2: and more generally, like in the last few years, the 40 00:02:10,080 --> 00:02:13,160 Speaker 2: FTC has been gung ho on sewing to block deals. 41 00:02:13,560 --> 00:02:16,560 Speaker 2: Sometimes it has succeeded, and the result of that is 42 00:02:16,600 --> 00:02:19,040 Speaker 2: bad news for merger arms, and some number of them 43 00:02:19,040 --> 00:02:21,320 Speaker 2: have lost their jobs. According to a Wall Street Journal 44 00:02:21,400 --> 00:02:22,880 Speaker 2: article that was published earlier this week. 45 00:02:23,000 --> 00:02:25,760 Speaker 1: Yeah, I was messy. The headline of the Wall Street 46 00:02:25,840 --> 00:02:29,600 Speaker 1: Journal article is that basically arbageddon potentially is over. 47 00:02:29,960 --> 00:02:33,680 Speaker 2: Yeah, the Arbageddon's have occurred, but like the assumption is 48 00:02:34,280 --> 00:02:37,440 Speaker 2: that Donald Trump will and least animal spirits in the 49 00:02:37,440 --> 00:02:38,040 Speaker 2: merger market. 50 00:02:38,480 --> 00:02:41,080 Speaker 1: That is the region consensus right now. I don't know 51 00:02:41,120 --> 00:02:44,000 Speaker 1: how many we're so back memes that you've seen over 52 00:02:44,000 --> 00:02:46,680 Speaker 1: the past week, but that is most of my social 53 00:02:46,720 --> 00:02:47,480 Speaker 1: media right now. 54 00:02:48,000 --> 00:02:48,760 Speaker 2: M and A Bankers. 55 00:02:48,919 --> 00:02:51,880 Speaker 1: Yes, me. I didn't know that I followed so many 56 00:02:51,919 --> 00:02:55,200 Speaker 1: financial meme accounts, but apparently I do. And in light 57 00:02:55,240 --> 00:02:57,200 Speaker 1: of that, it was interesting to see the tapestry and 58 00:02:57,240 --> 00:03:00,200 Speaker 1: could pre deal fall apart. We're recording this on Thursday, 59 00:03:00,240 --> 00:03:02,680 Speaker 1: and the headline crossed this morning that they're walking away 60 00:03:02,680 --> 00:03:06,280 Speaker 1: from the deal. And the reason that the companies gave 61 00:03:06,600 --> 00:03:09,440 Speaker 1: was that it's in the best interest of both companies 62 00:03:09,440 --> 00:03:13,080 Speaker 1: as the required closing condition of receiving necessary US regulatory 63 00:03:13,080 --> 00:03:16,119 Speaker 1: approvals was unlikely to be met by the outside date 64 00:03:16,160 --> 00:03:20,120 Speaker 1: of February tenth. By February tenth, of course, there will 65 00:03:20,120 --> 00:03:22,519 Speaker 1: be a new administration, at least in the White House. 66 00:03:22,560 --> 00:03:25,800 Speaker 2: Yeah, it's cutting Yeah, it's a little close. Yeah, once 67 00:03:25,840 --> 00:03:27,840 Speaker 2: you have a judge ruling that your deal is an 68 00:03:27,880 --> 00:03:30,639 Speaker 2: antitost violation, it's like hard to walk that back. It's 69 00:03:30,680 --> 00:03:35,440 Speaker 2: not completely impossible, but it's hard and it's harder to do. 70 00:03:35,560 --> 00:03:37,960 Speaker 2: And you know, three weeks after, you know, the new 71 00:03:37,960 --> 00:03:40,040 Speaker 2: administration is inaugurated. So there, and it's a lot of 72 00:03:40,080 --> 00:03:42,040 Speaker 2: uncertainty between now and then. Yeah. 73 00:03:42,200 --> 00:03:44,800 Speaker 1: Yeah, So I just I liked this story because it 74 00:03:44,880 --> 00:03:48,520 Speaker 1: was a little bit of reality that there are going 75 00:03:48,560 --> 00:03:50,800 Speaker 1: to be some lost causes when it comes to the 76 00:03:50,840 --> 00:03:55,280 Speaker 1: deal landscape right now. After the election last week, you 77 00:03:55,400 --> 00:03:59,520 Speaker 1: saw so many potential deal stocks just shoot up. I'm 78 00:03:59,560 --> 00:04:02,520 Speaker 1: thinking about like Capital One and Discovery in particular, and 79 00:04:02,560 --> 00:04:06,120 Speaker 1: I'm not commenting on those odds, but not all of 80 00:04:06,120 --> 00:04:08,120 Speaker 1: those deals are going to go through. Some of them 81 00:04:08,160 --> 00:04:12,560 Speaker 1: will die on the vine before things actually change, right, There's. 82 00:04:12,360 --> 00:04:15,360 Speaker 2: Like so much of a like immediate psychological shift in 83 00:04:15,440 --> 00:04:18,240 Speaker 2: how people see the new administration, like even before it's 84 00:04:18,480 --> 00:04:23,720 Speaker 2: in place, and my general sense is that the wheels 85 00:04:24,120 --> 00:04:29,080 Speaker 2: grind kind of slowly and it is hard to reverse course. Now, 86 00:04:29,560 --> 00:04:33,400 Speaker 2: this is clearly an administration that is not you know, 87 00:04:34,040 --> 00:04:37,560 Speaker 2: a respector of norms and procedures, and so the wheels 88 00:04:37,560 --> 00:04:40,960 Speaker 2: will grind a little faster than they usually do. But right, like, 89 00:04:41,000 --> 00:04:43,520 Speaker 2: once you have a court decision, it's pretty tough. The 90 00:04:43,560 --> 00:04:45,440 Speaker 2: other thing that I think is weird is like everyone 91 00:04:45,520 --> 00:04:48,280 Speaker 2: kind of assumes that this will be a far more 92 00:04:49,080 --> 00:04:53,760 Speaker 2: merger friendly administration, and the backing of all these business 93 00:04:53,760 --> 00:04:57,320 Speaker 2: people and bankers suggest that there's some reason to assume that. 94 00:04:57,760 --> 00:05:00,480 Speaker 2: But like Jennie Vance has praised Lena co On, the 95 00:05:00,800 --> 00:05:04,279 Speaker 2: head of the FTC, who's been very relatant about blocking 96 00:05:04,320 --> 00:05:08,480 Speaker 2: big mergers, it's not obvious that a sort of heterodox 97 00:05:08,920 --> 00:05:12,480 Speaker 2: populist Republican administration will actually be that much more pro merger, 98 00:05:12,760 --> 00:05:14,760 Speaker 2: or that they'll be pro merger in all the ways 99 00:05:14,760 --> 00:05:16,919 Speaker 2: that people want them to be. Yeah, but you know 100 00:05:17,040 --> 00:05:19,040 Speaker 2: that is everyone's assumption, so we are. 101 00:05:19,360 --> 00:05:21,560 Speaker 1: Yeah, it's a good point. I do wonder, and I 102 00:05:21,560 --> 00:05:23,520 Speaker 1: don't want to talk about politics, but I do wonder. 103 00:05:23,680 --> 00:05:25,479 Speaker 1: You know how much of us, say jd Vance, is 104 00:05:25,480 --> 00:05:26,000 Speaker 1: going to happen. 105 00:05:26,040 --> 00:05:28,440 Speaker 2: Oh, none, none, But but but I'm not you know, 106 00:05:28,520 --> 00:05:29,360 Speaker 2: I'm not sure anyone. 107 00:05:29,440 --> 00:05:31,520 Speaker 1: It's like a, yeah, there's going to be. 108 00:05:31,480 --> 00:05:34,119 Speaker 2: Some random television personalities, but in charge of the FTC, 109 00:05:34,200 --> 00:05:36,880 Speaker 2: and who knows what that person thinks, right, Like, who knows? Oh, 110 00:05:37,160 --> 00:05:40,600 Speaker 2: Katie is pointing to herself. Kat Katie as a television personality, 111 00:05:40,720 --> 00:05:42,520 Speaker 2: should be put in charge of the FTC. That's a 112 00:05:42,640 --> 00:05:43,360 Speaker 2: that's a good uh. 113 00:05:43,560 --> 00:05:46,360 Speaker 1: It would be an honor to serve my country. Specific 114 00:05:46,440 --> 00:05:50,320 Speaker 1: to Tapestry and Capri. Though you point out that it's 115 00:05:50,360 --> 00:05:53,279 Speaker 1: a quick turnaround. Two weeks is not a lot of time. 116 00:05:53,279 --> 00:05:55,640 Speaker 2: But also I wonder, Yeah, one thing that could happen 117 00:05:55,839 --> 00:05:58,680 Speaker 2: is that, like a deal gets dropped and it goes away, 118 00:05:59,040 --> 00:06:02,200 Speaker 2: and then like six months they start negotiating again. It 119 00:06:02,240 --> 00:06:04,080 Speaker 2: circumstances the change. You have an argument that I was 120 00:06:04,120 --> 00:06:06,599 Speaker 2: not anti coompetitive now and like you have much friendlier 121 00:06:06,680 --> 00:06:08,840 Speaker 2: de FTC and you know it all works out, But 122 00:06:08,880 --> 00:06:11,479 Speaker 2: that's pretty risky for you know, a jilted merger target. 123 00:06:11,520 --> 00:06:14,400 Speaker 1: At that point, it does seem like Tapestry shareholders do 124 00:06:14,480 --> 00:06:15,520 Speaker 1: not want this deal to happen. 125 00:06:15,520 --> 00:06:18,320 Speaker 2: There sure, I mean, like if both sides wanted this 126 00:06:18,360 --> 00:06:21,120 Speaker 2: deal to happen, like you say, well, appeal and you 127 00:06:21,200 --> 00:06:23,400 Speaker 2: know there's a deadline at February time, that doesn't matter. 128 00:06:23,680 --> 00:06:26,160 Speaker 2: You can you can mutually get together and wave the deadline. 129 00:06:26,200 --> 00:06:28,360 Speaker 2: But if you don't want to mutually get together, then 130 00:06:28,680 --> 00:06:29,520 Speaker 2: it deals off, you know. 131 00:06:29,760 --> 00:06:33,000 Speaker 1: But also, this isn't eighteen month saga, like this deal 132 00:06:33,080 --> 00:06:35,280 Speaker 1: has been going on for a long time. Things have 133 00:06:35,680 --> 00:06:39,000 Speaker 1: been pretty good at Tapestry. Their earnings have been solid. 134 00:06:39,040 --> 00:06:42,320 Speaker 1: They recently raised guidance for the year. Apparently the Coach 135 00:06:42,400 --> 00:06:45,200 Speaker 1: brand is popping off, and it seems like things have 136 00:06:46,440 --> 00:06:49,839 Speaker 1: kind of been deteriorating at Capri during that time. So 137 00:06:50,520 --> 00:06:52,680 Speaker 1: maybe there's a sigh of relief here. 138 00:06:52,880 --> 00:06:55,320 Speaker 2: Oh yeah, definitely. It is often the case that when 139 00:06:55,360 --> 00:06:59,120 Speaker 2: a deal is blocked and people are like, ah, it 140 00:06:59,200 --> 00:07:02,520 Speaker 2: was blocked. Often what that means is that one side 141 00:07:02,640 --> 00:07:05,600 Speaker 2: is kind of relieved it was blocked, right, like circumstances 142 00:07:05,600 --> 00:07:07,200 Speaker 2: of changing, you know, like or want to do the deal, 143 00:07:07,400 --> 00:07:09,359 Speaker 2: and you can't just back out of the deal. But 144 00:07:09,400 --> 00:07:12,080 Speaker 2: if there's some regulatory impediment, you can do things like 145 00:07:12,520 --> 00:07:14,320 Speaker 2: not agreed to extend the deadline. 146 00:07:14,400 --> 00:07:16,600 Speaker 1: And then there you are, Yeah, we gave it the 147 00:07:16,640 --> 00:07:19,280 Speaker 1: good college trial. It's not going to work out, you guys, 148 00:07:19,800 --> 00:07:20,520 Speaker 1: You know, you have. 149 00:07:20,400 --> 00:07:24,120 Speaker 2: An obligation to give it a words or like use 150 00:07:24,400 --> 00:07:26,760 Speaker 2: you know, all reasonable best efforts. But then once you 151 00:07:26,800 --> 00:07:29,200 Speaker 2: do that, you're done. Yeah, I do think that. Like 152 00:07:29,680 --> 00:07:31,680 Speaker 2: there's just the more general point of like the you know, 153 00:07:31,720 --> 00:07:37,560 Speaker 2: the merger ARB business, which has been difficult but lucrative 154 00:07:37,920 --> 00:07:39,760 Speaker 2: in the last few years. Right, So like merger IR right, 155 00:07:39,840 --> 00:07:41,520 Speaker 2: think of as like being sort of almost like market 156 00:07:41,520 --> 00:07:43,880 Speaker 2: making business, where like you're doing a lot of trades. 157 00:07:44,040 --> 00:07:46,880 Speaker 2: Each trade is like kind of a small spread you 158 00:07:46,960 --> 00:07:49,200 Speaker 2: make the spread and expectation and every soft and you 159 00:07:49,400 --> 00:07:51,240 Speaker 2: like absolutely run over on a deal like tap a 160 00:07:51,240 --> 00:07:53,400 Speaker 2: stry Capri, where like you lose you know, fifty percent 161 00:07:53,440 --> 00:07:55,720 Speaker 2: of your investment or whatever. In this scenario where like 162 00:07:55,800 --> 00:07:58,239 Speaker 2: Lena Khan is running the FTC and the FTC sues 163 00:07:58,320 --> 00:08:01,080 Speaker 2: to block a lot of deals that then they lose 164 00:08:01,120 --> 00:08:05,200 Speaker 2: in court. Like that's a really fun environment for merger 165 00:08:05,360 --> 00:08:09,800 Speaker 2: ARB because you can do things like buy Target stock 166 00:08:09,880 --> 00:08:13,080 Speaker 2: after the FTC sues and like the stock has gone down, 167 00:08:13,200 --> 00:08:15,480 Speaker 2: and then the FDC loses and the stock goes up 168 00:08:15,480 --> 00:08:17,360 Speaker 2: and you make a lot of money. Right, it's anything 169 00:08:17,360 --> 00:08:19,240 Speaker 2: else Like if you think of like merger ARB as 170 00:08:19,240 --> 00:08:22,480 Speaker 2: a market making business, then market makers make more money 171 00:08:22,600 --> 00:08:24,800 Speaker 2: in volatile periods, right, And so if you have a 172 00:08:24,840 --> 00:08:27,800 Speaker 2: volatile period where some mergers don't go through, some mergers 173 00:08:27,840 --> 00:08:29,840 Speaker 2: do go through. Some mergers get sued and they go down, 174 00:08:29,840 --> 00:08:31,840 Speaker 2: and then like they go through and they go up. 175 00:08:32,320 --> 00:08:34,000 Speaker 2: You can make a lot of money in this like 176 00:08:34,080 --> 00:08:38,040 Speaker 2: sort of liquidity provision business where you buy stocks when 177 00:08:38,080 --> 00:08:39,880 Speaker 2: the merger's announced and sort of sell them into the 178 00:08:39,880 --> 00:08:43,000 Speaker 2: merger when the merger closes. So it's a good lucrative business, 179 00:08:43,320 --> 00:08:45,160 Speaker 2: but it's also a business where you can get blown up, right, 180 00:08:45,200 --> 00:08:46,960 Speaker 2: and if you just make a couple of the wrong bets, 181 00:08:46,960 --> 00:08:48,880 Speaker 2: you get blown up and you're you're out of the business. 182 00:08:49,440 --> 00:08:53,520 Speaker 2: Whereas the assumption is that in a TRUBI administration, you 183 00:08:53,559 --> 00:08:55,599 Speaker 2: know there'll be a lot of mergers, so you'll have 184 00:08:55,640 --> 00:08:57,400 Speaker 2: a lot of volume. You know, if you think of 185 00:08:57,400 --> 00:08:59,000 Speaker 2: it as a market making business, you'll have a lot 186 00:08:59,000 --> 00:09:02,520 Speaker 2: of deals to do and they'll all go through, so 187 00:09:02,559 --> 00:09:04,000 Speaker 2: you won't really have a lot of risk and you 188 00:09:04,040 --> 00:09:05,800 Speaker 2: won't get blown up. The flip side of that, it 189 00:09:05,840 --> 00:09:07,800 Speaker 2: spreads will compress and you'll just make a sort of 190 00:09:07,880 --> 00:09:10,280 Speaker 2: more modest profit and not make tons of money and 191 00:09:10,440 --> 00:09:12,040 Speaker 2: h deal, but like you'll have an easier life. 192 00:09:12,559 --> 00:09:17,640 Speaker 1: What a pleasant and sedate landscape that sounds like I 193 00:09:17,720 --> 00:09:19,760 Speaker 1: kind of like the high octane. 194 00:09:19,600 --> 00:09:23,280 Speaker 2: Yeah, I think that almost everything about financial markets and 195 00:09:23,360 --> 00:09:27,400 Speaker 2: the world will be like less sedate under a Trump administration. 196 00:09:27,440 --> 00:09:29,280 Speaker 2: But like you know, mahade your arb, it'll be like yeah, 197 00:09:29,320 --> 00:09:31,920 Speaker 2: they all they all go, they all close, yeah or 198 00:09:31,960 --> 00:09:34,960 Speaker 2: not or not right or there will be you know, 199 00:09:35,080 --> 00:09:37,839 Speaker 2: a confounding expectations and they'll suit a block every deal. 200 00:09:52,240 --> 00:09:56,680 Speaker 1: Let's get to the good stuff. What's that burritos and 201 00:09:56,720 --> 00:09:59,359 Speaker 1: how little meat is in Chipotle burritos? 202 00:09:59,559 --> 00:10:01,760 Speaker 2: The lost suit that we're going to talk about also 203 00:10:02,120 --> 00:10:05,120 Speaker 2: points out that some of these burritos skimp on the 204 00:10:05,200 --> 00:10:05,880 Speaker 2: rice and beans. 205 00:10:06,000 --> 00:10:06,800 Speaker 1: Unbelievable. 206 00:10:06,960 --> 00:10:09,240 Speaker 2: It's not just the expense of it's it's everything. 207 00:10:09,600 --> 00:10:11,600 Speaker 1: I haven't been to a Chipotle in like fifteen. 208 00:10:11,320 --> 00:10:13,720 Speaker 2: Years when I worked at deal Breaker, my job before this, 209 00:10:14,280 --> 00:10:16,480 Speaker 2: we were upstairs from a Chipotle, and there was a 210 00:10:16,520 --> 00:10:18,640 Speaker 2: period right at Chipotle like three times a week for 211 00:10:20,000 --> 00:10:24,440 Speaker 2: months on end, and probably never since then. I don't 212 00:10:24,480 --> 00:10:26,560 Speaker 2: like a burrito with like a like a regular burrito. 213 00:10:27,200 --> 00:10:29,040 Speaker 1: Yeah, regular guy, I. 214 00:10:29,080 --> 00:10:31,640 Speaker 2: Think I got. I don't even remember what I what 215 00:10:32,440 --> 00:10:33,160 Speaker 2: meat I had of my. 216 00:10:33,280 --> 00:10:35,720 Speaker 1: Probably was it a true burrito, not a burrito bowl. 217 00:10:35,960 --> 00:10:37,360 Speaker 2: I don't think I've ever eaten neverat a. 218 00:10:37,360 --> 00:10:39,080 Speaker 1: Ball Wow, we're different people. 219 00:10:40,760 --> 00:10:43,160 Speaker 2: I don't know. I found it off putting. It's like 220 00:10:43,160 --> 00:10:44,720 Speaker 2: a very wrong salad. 221 00:10:44,880 --> 00:10:47,600 Speaker 1: Yeah, it's like a salad but more fun, with less 222 00:10:47,600 --> 00:10:50,640 Speaker 1: carbs than a burrito, but still a lot of more 223 00:10:50,679 --> 00:10:53,160 Speaker 1: carbs than a salad because there's rice. 224 00:10:53,520 --> 00:10:54,559 Speaker 2: The tortilla is so thin. 225 00:10:54,640 --> 00:10:57,280 Speaker 1: How many who would shock you? 226 00:10:58,520 --> 00:11:00,840 Speaker 2: Anyway? I've never had a burrito bo but I've had 227 00:11:01,280 --> 00:11:04,199 Speaker 2: hundreds of or at least dozens of Chipotle burritos. I'm 228 00:11:04,200 --> 00:11:04,640 Speaker 2: pretty good. 229 00:11:04,960 --> 00:11:06,840 Speaker 1: What were the portion sizes? 230 00:11:06,920 --> 00:11:09,280 Speaker 2: Like, I don't remember, but this is more than a 231 00:11:09,320 --> 00:11:11,760 Speaker 2: decade ago, and so I think they were ample. I 232 00:11:11,800 --> 00:11:12,280 Speaker 2: think this was. 233 00:11:12,320 --> 00:11:17,240 Speaker 1: Before chip Well, apparently things have deteriorated since then. If 234 00:11:17,320 --> 00:11:19,959 Speaker 1: you spend any time on social media, this has been 235 00:11:20,440 --> 00:11:23,120 Speaker 1: a long running issue. By long running issue, I mean 236 00:11:23,200 --> 00:11:25,080 Speaker 1: at least a couple of months. 237 00:11:25,040 --> 00:11:26,600 Speaker 2: Yeah, it's been like a thing this year. 238 00:11:26,800 --> 00:11:27,120 Speaker 1: Yeah. 239 00:11:27,360 --> 00:11:28,920 Speaker 2: Maybe maybe last year too, but I think it was 240 00:11:28,920 --> 00:11:31,079 Speaker 2: like really sort of took off and like Spring Suwheer 241 00:11:31,120 --> 00:11:35,000 Speaker 2: of twenty twenty four. Like people on social media, I'm 242 00:11:35,040 --> 00:11:37,120 Speaker 2: not on the YouTube channels where people are. 243 00:11:36,960 --> 00:11:43,200 Speaker 1: Like YouTube like wherever TikTok, Yeah, wherever people are going 244 00:11:43,480 --> 00:11:46,760 Speaker 1: to like post videos about their disappointment with their burritos. 245 00:11:46,800 --> 00:11:49,760 Speaker 2: I'm not on those channels, no, but they exist and 246 00:11:49,800 --> 00:11:55,800 Speaker 2: they're hugely influential, and I guess some people have posted 247 00:11:55,840 --> 00:11:59,640 Speaker 2: serious complaints about the size of Chipotle burrito balls, to 248 00:11:59,679 --> 00:12:04,000 Speaker 2: the point that Wells Fargo equity research analysts went and 249 00:12:04,040 --> 00:12:08,400 Speaker 2: did a study where I remember this, They ordered seventy 250 00:12:08,400 --> 00:12:11,800 Speaker 2: five quote like for like burrito bowls across eight locations 251 00:12:11,840 --> 00:12:14,319 Speaker 2: of Chipotle in New York City and found the smallest 252 00:12:14,320 --> 00:12:16,560 Speaker 2: bawl was thirteen point eight ounces and the largest was 253 00:12:16,559 --> 00:12:18,080 Speaker 2: twenty six point eight ounces. 254 00:12:18,320 --> 00:12:21,280 Speaker 1: This had to be interns, I don't know, sending them 255 00:12:21,280 --> 00:12:24,120 Speaker 1: out to various locations and having them. 256 00:12:24,040 --> 00:12:28,439 Speaker 2: Pick up I hear you, but like I mean sounds. 257 00:12:28,120 --> 00:12:29,520 Speaker 1: Like a summer project or something. 258 00:12:29,600 --> 00:12:32,160 Speaker 2: Yeah, that's probably right, but didn't they fun? But also 259 00:12:32,280 --> 00:12:34,319 Speaker 2: like I don't know, like like what a fun that 260 00:12:34,400 --> 00:12:36,280 Speaker 2: you're an equity researchology, Like I'm going to get out 261 00:12:36,320 --> 00:12:39,320 Speaker 2: of the building and order seventy five burrito balls like 262 00:12:39,360 --> 00:12:41,080 Speaker 2: that's funny. I don't know. I don't know. 263 00:12:41,200 --> 00:12:43,520 Speaker 1: Wells Fargo stock should fall because this is how their 264 00:12:43,559 --> 00:12:44,720 Speaker 1: analysts are spending their time. 265 00:12:44,760 --> 00:12:47,320 Speaker 2: But what I was supposed to spend their times. 266 00:12:46,960 --> 00:12:48,960 Speaker 1: A groundbreaking conclusion. 267 00:12:48,960 --> 00:12:51,360 Speaker 2: Did they find the biggest bowl is the twice as 268 00:12:51,360 --> 00:12:52,360 Speaker 2: big as the smallest ball. 269 00:12:52,440 --> 00:12:53,120 Speaker 1: That's pretty bad. 270 00:12:53,160 --> 00:12:57,600 Speaker 2: It's pretty bad. Yeah, and it prompted endless, endless soul 271 00:12:57,640 --> 00:13:02,240 Speaker 2: searching from Chipotle. Yeah, the CEO and the July Ironers 272 00:13:02,280 --> 00:13:04,480 Speaker 2: call said, before I give an update on our five 273 00:13:04,559 --> 00:13:06,600 Speaker 2: key strategies, I want to take a minute to address 274 00:13:06,640 --> 00:13:09,520 Speaker 2: the portion concerns that have been brought up in social media. First, 275 00:13:09,760 --> 00:13:12,480 Speaker 2: there was never a directive to provide less to our customers. 276 00:13:12,880 --> 00:13:15,440 Speaker 2: Generous portion is a core brand equity of Chipotle. 277 00:13:16,120 --> 00:13:17,080 Speaker 1: Okay, I know what that means. 278 00:13:17,360 --> 00:13:19,680 Speaker 2: It always has been and always will be. With that said, 279 00:13:19,679 --> 00:13:22,080 Speaker 2: getting the feedback caused us to relook at our execution 280 00:13:22,160 --> 00:13:24,480 Speaker 2: across our entire system, with the intention to always serve 281 00:13:24,520 --> 00:13:28,720 Speaker 2: our guests delicious, fresh custom burritos and bowls with generous portions. 282 00:13:29,200 --> 00:13:33,200 Speaker 1: Was this still Brian Nicol Yeah. Yeah. By the way, 283 00:13:33,800 --> 00:13:37,080 Speaker 1: if they make the Starbucks drinks smaller, I am going 284 00:13:37,120 --> 00:13:38,960 Speaker 1: to riot sure. 285 00:13:39,000 --> 00:13:42,800 Speaker 2: Well you'll see. Yeah, we're getting away from the point, 286 00:13:42,840 --> 00:13:45,240 Speaker 2: which is that. Okay, I feel I have complained about 287 00:13:45,360 --> 00:13:49,320 Speaker 2: various small consumer indignities on the internet forever, but like 288 00:13:49,880 --> 00:13:53,760 Speaker 2: there's this incredible modern technology, the securities road lawsuit that 289 00:13:53,840 --> 00:13:56,560 Speaker 2: allows you to turn this into a multi billion dollar lossuit. Right, 290 00:13:56,640 --> 00:13:59,240 Speaker 2: You're like, oh, the portions of my burrito are too small. 291 00:13:59,640 --> 00:14:01,679 Speaker 2: What can you do a you're gonna sue because you're 292 00:14:01,720 --> 00:14:03,480 Speaker 2: burritos too small. You don't have a class action. We 293 00:14:03,520 --> 00:14:06,560 Speaker 2: get everyone else's butos too small. It's crazy, right, But Like, 294 00:14:06,960 --> 00:14:11,240 Speaker 2: what happens here is that these reports come out and 295 00:14:12,160 --> 00:14:16,319 Speaker 2: the stock goes down a little bit. Chipotle actually announces earnings, 296 00:14:16,360 --> 00:14:19,400 Speaker 2: like most recently, like their earnings for Q three, which 297 00:14:19,640 --> 00:14:21,840 Speaker 2: i'd like just a couple of weeks ago, and their 298 00:14:21,880 --> 00:14:24,960 Speaker 2: earnings have like an increase in cost of good sold 299 00:14:25,200 --> 00:14:28,920 Speaker 2: because they're putting more meat in the burritos. They're like, like, 300 00:14:29,000 --> 00:14:31,840 Speaker 2: we did a throw audit of our portions and we 301 00:14:31,880 --> 00:14:34,480 Speaker 2: found that some stores were not putting enough in and 302 00:14:34,520 --> 00:14:37,000 Speaker 2: so we're putting more in everything. That's not exactly what 303 00:14:37,080 --> 00:14:39,800 Speaker 2: they said, but like they're putting more in everything. Yeah, 304 00:14:39,840 --> 00:14:41,520 Speaker 2: And so the stock goes down. Why is this not 305 00:14:41,600 --> 00:14:43,600 Speaker 2: go down? Well, it's earnings released. There's a number of 306 00:14:43,600 --> 00:14:45,080 Speaker 2: reasons that stock could go down, and one of them, 307 00:14:45,120 --> 00:14:47,320 Speaker 2: you know, might be that the future cost of good 308 00:14:47,360 --> 00:14:49,960 Speaker 2: sold is higher. And another one might be that you 309 00:14:50,080 --> 00:14:54,760 Speaker 2: worry that you've lost some brand value by you know, yeah, 310 00:14:54,840 --> 00:14:57,080 Speaker 2: getting yelled at for skimping on portions. All we know 311 00:14:57,120 --> 00:14:58,680 Speaker 2: is the stock goes down, right, and the stock goes 312 00:14:58,720 --> 00:15:02,600 Speaker 2: down by like a single digit number of percentage points. 313 00:15:02,680 --> 00:15:05,320 Speaker 2: That translates into billions of dollars of losses, right, And 314 00:15:05,400 --> 00:15:07,280 Speaker 2: so if your securities are you just like slapped that 315 00:15:07,360 --> 00:15:10,720 Speaker 2: in a lawsuit, you're like, they said the portions were big. 316 00:15:11,360 --> 00:15:14,480 Speaker 2: In fact, the portions were small. They were lying. It's frawed. 317 00:15:14,800 --> 00:15:16,800 Speaker 2: The stock went down when the fraud came out, so 318 00:15:16,800 --> 00:15:19,960 Speaker 2: everyone who bought the stock was defrauded out of you know, 319 00:15:20,760 --> 00:15:24,120 Speaker 2: billions of dollars. And then you sue and then you know, 320 00:15:24,360 --> 00:15:26,680 Speaker 2: it's like kind of ridiculous, but like maybe you settle 321 00:15:26,680 --> 00:15:28,440 Speaker 2: it for like, you know, pennies on the dollar and 322 00:15:28,480 --> 00:15:31,720 Speaker 2: you collected you know, multimillion dollar legal fee for bringing 323 00:15:31,760 --> 00:15:33,720 Speaker 2: this lawsuit. It's amazing, it. 324 00:15:33,680 --> 00:15:36,280 Speaker 1: Is amazing, and I'm excited to see how this turns out. 325 00:15:36,480 --> 00:15:38,200 Speaker 2: I read all the time everything is security is fraud. 326 00:15:38,240 --> 00:15:41,840 Speaker 2: It's like an amazing like use of the American legal 327 00:15:41,840 --> 00:15:46,880 Speaker 2: system to go after like really incredible complais You. 328 00:15:46,880 --> 00:15:49,160 Speaker 1: Want to speculate on how it might shake out. Do 329 00:15:49,200 --> 00:15:51,160 Speaker 1: you think that they're actually going to settle? 330 00:15:51,360 --> 00:15:53,440 Speaker 2: I don't, Actually, I don't. I always like write out 331 00:15:53,440 --> 00:15:55,360 Speaker 2: these people. When people file them, A lot of them 332 00:15:55,400 --> 00:15:58,680 Speaker 2: do not go very far. Some of them settle. 333 00:15:58,920 --> 00:15:59,720 Speaker 1: Yeah, I don't know. 334 00:16:00,280 --> 00:16:02,440 Speaker 2: It takes you like an hour to write this complaint. 335 00:16:02,560 --> 00:16:05,080 Speaker 2: It's so funny. And then like maybe they said it 336 00:16:05,120 --> 00:16:06,280 Speaker 2: and you get a few million dollars. 337 00:16:06,400 --> 00:16:08,800 Speaker 1: Well, if it does go that route, I wonder, like, 338 00:16:08,840 --> 00:16:13,880 Speaker 1: does this set any precedent for what you could sue for? 339 00:16:14,440 --> 00:16:17,440 Speaker 2: Like I've been writing this for years. You can see 340 00:16:17,480 --> 00:16:19,320 Speaker 2: for anything if it's a public company. Anything. 341 00:16:19,440 --> 00:16:24,040 Speaker 1: If a company sells marbles, for example, and it says like, oh, 342 00:16:24,200 --> 00:16:26,920 Speaker 1: people are loving the green marbles, and then on their 343 00:16:26,920 --> 00:16:29,480 Speaker 1: earnings call they have to say, actually, people didn't love 344 00:16:29,520 --> 00:16:32,200 Speaker 1: the green marbles that much. You can sue for that. 345 00:16:32,280 --> 00:16:34,680 Speaker 1: Of course, wow, for anything. 346 00:16:35,320 --> 00:16:38,080 Speaker 2: Not all these cases win, but like enough make money 347 00:16:38,080 --> 00:16:40,160 Speaker 2: that Like it's a lucrative business for a plaintiffs, for 348 00:16:40,320 --> 00:16:41,240 Speaker 2: security layers. 349 00:16:41,400 --> 00:16:44,400 Speaker 1: Well, I don't know. Maybe if I don't, you know, 350 00:16:44,680 --> 00:16:47,360 Speaker 1: become the next FTC head. This is something I could do. 351 00:16:47,720 --> 00:16:51,680 Speaker 1: Brian nicol knew that people were upset about the Chipotle 352 00:16:52,440 --> 00:16:57,240 Speaker 1: portion sizes. There was this amazing article by Fortune in 353 00:16:57,440 --> 00:17:01,480 Speaker 1: late May. The headline is, Chipotle, our portion sizes aren't 354 00:17:01,480 --> 00:17:03,800 Speaker 1: getting smaller, but you can get more food with a 355 00:17:03,880 --> 00:17:06,760 Speaker 1: secret look. Do you remember this? Did this enter your 356 00:17:06,800 --> 00:17:10,639 Speaker 1: sphere of knowledge? Okay, I'm so excited to tell you 357 00:17:10,640 --> 00:17:13,720 Speaker 1: about this. In an interview with Fortune, Nicol said portions 358 00:17:13,760 --> 00:17:17,080 Speaker 1: have not gotten smaller and offered disappointed customers seeking an 359 00:17:17,080 --> 00:17:20,240 Speaker 1: even bigger burrito or bowl a pro tip. Give the 360 00:17:20,280 --> 00:17:23,760 Speaker 1: workers a secret look. This is a direct quote. One 361 00:17:23,840 --> 00:17:26,320 Speaker 1: of the things I think is great about Chipotle is 362 00:17:26,400 --> 00:17:28,480 Speaker 1: if you come into the restaurant and you want a 363 00:17:28,480 --> 00:17:30,680 Speaker 1: little more rice, or you want a little more pico 364 00:17:30,720 --> 00:17:34,200 Speaker 1: de gallo, Nicol told Fortune, who then widened his eyes 365 00:17:34,240 --> 00:17:40,520 Speaker 1: slightly and did I say that wrong? What did I say? 366 00:17:41,680 --> 00:17:50,679 Speaker 1: Did I really sorry? I said that? Okay? If you 367 00:17:50,960 --> 00:17:56,280 Speaker 1: want more cheese on your case adilla, or you want 368 00:17:56,320 --> 00:18:01,439 Speaker 1: more gilapanos, this is a direct quote. One of the 369 00:18:01,480 --> 00:18:02,680 Speaker 1: things I think is great. 370 00:18:02,720 --> 00:18:04,320 Speaker 2: She's gonna play the tape of himself. 371 00:18:05,400 --> 00:18:07,240 Speaker 1: One of the things I think is great about Chipotle 372 00:18:07,400 --> 00:18:10,680 Speaker 1: is if you come into the restaurant. If you I'm 373 00:18:10,680 --> 00:18:13,159 Speaker 1: gonna start saying that though we used to call it 374 00:18:13,200 --> 00:18:16,440 Speaker 1: that in my family. One of the things I think 375 00:18:16,560 --> 00:18:18,840 Speaker 1: is great about Chipotle is if you come into the 376 00:18:18,840 --> 00:18:21,560 Speaker 1: restaurant and you want a little more rice, or you 377 00:18:21,600 --> 00:18:33,840 Speaker 1: want a little more Pico the gayo, I say, what 378 00:18:33,960 --> 00:18:35,520 Speaker 1: is it? Wait? How do I say it? Now? I'm 379 00:18:35,560 --> 00:18:39,280 Speaker 1: in my own head Pico to Gio, Nickel told Fortune, 380 00:18:39,320 --> 00:18:41,840 Speaker 1: who then widened his eyes slightly and nodded his head. 381 00:18:42,160 --> 00:18:45,119 Speaker 1: Usually our guys and women give them a little more scoop, 382 00:18:45,960 --> 00:18:49,119 Speaker 1: so he was aware of the complaints. And I just 383 00:18:50,320 --> 00:18:53,720 Speaker 1: love the suggestion of giving like a secret nod and 384 00:18:53,800 --> 00:18:56,400 Speaker 1: like maybe a wink to one of the Chipotle workers. 385 00:18:56,760 --> 00:18:58,600 Speaker 2: I just think it's like, you know, it is not 386 00:18:58,680 --> 00:19:01,159 Speaker 2: a factory produced product should have exactly the same way 387 00:19:01,240 --> 00:19:03,359 Speaker 2: each time. It's like you're talking to a person who's 388 00:19:03,400 --> 00:19:05,880 Speaker 2: like using a spoon, right, Like you can you can 389 00:19:05,960 --> 00:19:07,960 Speaker 2: do that, You can give it. You could even say, 390 00:19:08,600 --> 00:19:10,280 Speaker 2: could get bet a little more on that. I don't know, 391 00:19:10,320 --> 00:19:11,640 Speaker 2: I haven't done this in ten years, but it does 392 00:19:11,680 --> 00:19:13,679 Speaker 2: seem like a thing you could do. And you know, 393 00:19:13,800 --> 00:19:16,040 Speaker 2: then like Wells Fargo is going out, and like I 394 00:19:16,080 --> 00:19:20,520 Speaker 2: wonder if Wells Farger like controlled for like the books, right, Yeah, 395 00:19:20,560 --> 00:19:23,040 Speaker 2: like there's maybe the big the twenty six ounce ball 396 00:19:23,200 --> 00:19:25,119 Speaker 2: was like they like I looked at the worker a 397 00:19:25,119 --> 00:19:26,800 Speaker 2: little bit too intensely, and the workers like, all right, 398 00:19:26,880 --> 00:19:27,239 Speaker 2: here's it more. 399 00:19:27,400 --> 00:19:29,680 Speaker 1: Yeah, we do need to know the methodology, like did they. 400 00:19:29,560 --> 00:19:31,680 Speaker 2: Make right Like one intern like was making more eye 401 00:19:31,680 --> 00:19:33,280 Speaker 2: contact than the other intern and got. 402 00:19:33,119 --> 00:19:37,800 Speaker 1: More smile perhaps or or glare. Yeah, all of these 403 00:19:37,880 --> 00:19:41,640 Speaker 1: kind of influenced results. Maybe this is a good case 404 00:19:41,720 --> 00:19:46,680 Speaker 1: for AI. You know, maybe if the robots made your bowls, 405 00:19:46,760 --> 00:19:49,400 Speaker 1: then you get a perfect measurement every time. But humans 406 00:19:49,400 --> 00:19:53,600 Speaker 1: still rule this planet and this is just a byproduct 407 00:19:53,640 --> 00:19:53,800 Speaker 1: of that. 408 00:19:54,960 --> 00:19:57,240 Speaker 2: I think that said everything we did say about this. 409 00:19:57,440 --> 00:19:59,679 Speaker 1: I think I said too much poorly. 410 00:20:01,280 --> 00:20:02,480 Speaker 2: I hope we're keeping most of that. 411 00:20:02,840 --> 00:20:05,560 Speaker 1: We can keep some of it. I don't wantn't sound 412 00:20:05,600 --> 00:20:09,120 Speaker 1: too much like a blubbering idiot. It's really hard being 413 00:20:09,160 --> 00:20:13,400 Speaker 1: on TV because my worst instincts when it comes to pronunciation, 414 00:20:13,760 --> 00:20:30,280 Speaker 1: always win, always win. What do you think Warren Buffett's. 415 00:20:29,840 --> 00:20:32,320 Speaker 2: Doing leveraging now? 416 00:20:32,359 --> 00:20:38,360 Speaker 1: What He's probably not thinking about this strange etf filing 417 00:20:38,560 --> 00:20:42,240 Speaker 1: based off of Berkshire Hathaway. Tell me, okay, so one 418 00:20:42,280 --> 00:20:45,879 Speaker 1: of South Korea's largest retail Brokeaches has teamed up with 419 00:20:45,920 --> 00:20:48,720 Speaker 1: this white label issuer named Title to create a double 420 00:20:49,280 --> 00:20:53,800 Speaker 1: leveraged fund that will track, if approved, Class B shares 421 00:20:53,920 --> 00:20:57,720 Speaker 1: of Berkshire Hathaway. So this is another leverage single stock 422 00:20:57,760 --> 00:21:00,320 Speaker 1: ETF And I know that we've talked about them a lot, 423 00:21:00,600 --> 00:21:04,160 Speaker 1: maybe more than the listeners want, but listen, this one 424 00:21:04,240 --> 00:21:08,840 Speaker 1: is weird and interesting just because Berkshire Hathaway shares are 425 00:21:09,040 --> 00:21:12,399 Speaker 1: so boring that this is like antithetical to the single 426 00:21:12,440 --> 00:21:13,920 Speaker 1: stock leveraged wrapper. 427 00:21:14,280 --> 00:21:16,280 Speaker 2: What is the purpose of the single stalking leverge rapper? 428 00:21:16,280 --> 00:21:18,400 Speaker 2: To me, it is just marketing, right, and so. 429 00:21:18,480 --> 00:21:21,520 Speaker 1: Like it's fun, yeah, but like. 430 00:21:22,440 --> 00:21:25,760 Speaker 2: If you have some like snazzy thing, you can be like, yeah, 431 00:21:25,840 --> 00:21:27,560 Speaker 2: a snazzy thing, and then you get money and then 432 00:21:27,640 --> 00:21:31,960 Speaker 2: like you yeah, well, like this is not as snazzy 433 00:21:31,960 --> 00:21:34,600 Speaker 2: as like Tesla being is not that valuable, but it's like, yeah, 434 00:21:34,760 --> 00:21:37,120 Speaker 2: like weren Buffett over there, It's like being Warren Buffett. 435 00:21:37,200 --> 00:21:38,399 Speaker 1: I don't know if that's snazzy. 436 00:21:38,600 --> 00:21:40,240 Speaker 2: Snazzy is not the word I think, but like has 437 00:21:40,280 --> 00:21:41,880 Speaker 2: some retail appeal to someone. 438 00:21:41,920 --> 00:21:46,359 Speaker 1: Someone, maybe to South Korean investors, because in this article 439 00:21:46,760 --> 00:21:50,200 Speaker 1: it is pointed out that individual investors from South Korea 440 00:21:50,280 --> 00:21:53,639 Speaker 1: do follow and hold a lot of Berkshire shares, and 441 00:21:53,680 --> 00:21:58,240 Speaker 1: they also love leverage single stock ETFs, namely the tessel ones. 442 00:21:58,600 --> 00:22:02,600 Speaker 1: But this one is strange because, okay, you have the 443 00:22:02,680 --> 00:22:06,240 Speaker 1: snazzy marketing thing, but like the fun in it is 444 00:22:06,320 --> 00:22:08,879 Speaker 1: watching it go up and down a lot. If you 445 00:22:09,200 --> 00:22:12,320 Speaker 1: look at some of the numbers behind Berkshire, it's just 446 00:22:12,400 --> 00:22:16,240 Speaker 1: not very exciting. The stocks ninety day volatility is like 447 00:22:16,720 --> 00:22:21,439 Speaker 1: nineteen percent. You compare that to in video in videos 448 00:22:21,520 --> 00:22:24,359 Speaker 1: is fifty nine percent, and then micro strategy, which is 449 00:22:24,560 --> 00:22:28,560 Speaker 1: very popular in these wrappers, is like ninety eight percent. 450 00:22:29,080 --> 00:22:31,040 Speaker 1: So it's not going to be exciting. 451 00:22:31,520 --> 00:22:33,640 Speaker 2: Okay, So a couple of things, first of all, come on, 452 00:22:33,800 --> 00:22:39,600 Speaker 2: like making it a levertytf makes it more exciting, right, 453 00:22:39,760 --> 00:22:42,040 Speaker 2: Like there's some no like twice is exciting. There's some 454 00:22:42,400 --> 00:22:46,760 Speaker 2: level of volatility and expected high returns from Berkshire othay, and. 455 00:22:46,720 --> 00:22:48,639 Speaker 1: You get twice as much in the instead of seven 456 00:22:48,720 --> 00:22:51,639 Speaker 1: tenths of a percent, it went up one point four percent. 457 00:22:52,080 --> 00:22:55,000 Speaker 2: Sure. The other thing though, is that you know, when 458 00:22:55,000 --> 00:22:58,280 Speaker 2: we talk about these levertytfs, I like very vo little stocks. 459 00:22:58,520 --> 00:23:00,919 Speaker 2: They are a great one day gap link product, but 460 00:23:00,960 --> 00:23:03,240 Speaker 2: they're a mess to hold for a long time because 461 00:23:03,240 --> 00:23:06,560 Speaker 2: you have the volatility drag of like if you hold 462 00:23:06,560 --> 00:23:10,480 Speaker 2: them over time, you don't get necessarily two times of 463 00:23:10,520 --> 00:23:12,400 Speaker 2: the return or three times the return of the underlying 464 00:23:12,440 --> 00:23:15,800 Speaker 2: You get like some weird, horrible thing that is often 465 00:23:15,840 --> 00:23:18,080 Speaker 2: lower than the returns on the underline. Not always, but 466 00:23:18,320 --> 00:23:22,199 Speaker 2: often lower than like two times the returns on the underline. 467 00:23:22,560 --> 00:23:26,080 Speaker 2: With a not very volatile stock, you get less volatility drag. 468 00:23:26,200 --> 00:23:28,639 Speaker 2: And it's a little bit I'm sure they're not like 469 00:23:28,800 --> 00:23:31,080 Speaker 2: this is a buy and hold forever product, because it's 470 00:23:31,160 --> 00:23:33,920 Speaker 2: you know, it's a risky way to buy and hold forever. 471 00:23:34,160 --> 00:23:36,840 Speaker 2: But it's like you could hold it for longer and 472 00:23:36,880 --> 00:23:39,960 Speaker 2: probably get closer to two times the returns of Berkshire 473 00:23:39,960 --> 00:23:42,639 Speaker 2: Hathaway than you would if you were holding you know, 474 00:23:42,920 --> 00:23:46,000 Speaker 2: a two x micro strategies for a year. 475 00:23:46,280 --> 00:23:48,760 Speaker 1: Yeah, that's true. I mean I was thinking about it, 476 00:23:48,800 --> 00:23:50,560 Speaker 1: like could it make sense as buy and hold, and 477 00:23:50,600 --> 00:23:54,320 Speaker 1: then I was remembering all of our conversations about volatility drag. 478 00:23:54,480 --> 00:23:57,199 Speaker 2: Right, it's just less so it's not you know, eliminated, 479 00:23:57,240 --> 00:23:58,879 Speaker 2: but it's it's just less so here because it's a 480 00:23:58,920 --> 00:23:59,720 Speaker 2: less volatile stock. 481 00:24:00,000 --> 00:24:03,320 Speaker 1: If I had that much conviction about Berkshire Hathaway. And 482 00:24:03,720 --> 00:24:05,760 Speaker 1: I'm a journalist, so I don't have any opinions, but 483 00:24:06,200 --> 00:24:10,040 Speaker 1: I would just buy more shares of Berkshire Hathway. Like 484 00:24:10,080 --> 00:24:13,440 Speaker 1: instead of spending buying one share, maybe I would buy 485 00:24:13,480 --> 00:24:15,280 Speaker 1: two shares. That's what I would do. 486 00:24:15,760 --> 00:24:17,480 Speaker 2: Well, this is a way to buy two shares. 487 00:24:18,119 --> 00:24:21,360 Speaker 1: Yeah, but that's going to cost me some money. This 488 00:24:21,400 --> 00:24:23,560 Speaker 1: is a plan ETF. We should note that it hasn't 489 00:24:23,600 --> 00:24:25,520 Speaker 1: been launched and TVD if it does launch. 490 00:24:25,880 --> 00:24:28,359 Speaker 2: Sure we talked about talked about that. 491 00:24:29,240 --> 00:24:32,160 Speaker 1: Hey I Warren buff Yeah we did. 492 00:24:32,359 --> 00:24:35,240 Speaker 2: That's like a vague gesture in the direction of Warren Buffett. 493 00:24:35,280 --> 00:24:38,879 Speaker 2: And also, this is just buying two shares of Berkshire Hathaway. 494 00:24:39,040 --> 00:24:41,760 Speaker 1: Yeah, I will know this has been done before. Sure 495 00:24:41,800 --> 00:24:45,760 Speaker 1: there's a two times no, no, no, there's a two times 496 00:24:45,760 --> 00:24:49,639 Speaker 1: Warren Buffett ETF in Europe. It launched in twenty twenty 497 00:24:49,640 --> 00:24:52,960 Speaker 1: two and it has about two point three million dollars 498 00:24:53,000 --> 00:24:55,840 Speaker 1: in assets, which is not very much. And I don't 499 00:24:55,840 --> 00:24:58,760 Speaker 1: know you think about the marketing. And obviously Warren Buffett 500 00:24:58,800 --> 00:25:03,080 Speaker 1: is a name, but it's a name that doesn't seem 501 00:25:03,119 --> 00:25:08,040 Speaker 1: to appeal to the cohort of individual traders who buy 502 00:25:08,119 --> 00:25:09,360 Speaker 1: single stock ETFs. 503 00:25:09,640 --> 00:25:12,600 Speaker 2: But maybe maybe this is like broadening that audience. Maybe 504 00:25:12,600 --> 00:25:15,080 Speaker 2: this is like you think you don't like levered single 505 00:25:15,080 --> 00:25:18,440 Speaker 2: stockings because they're on crazy stocks, but here is a 506 00:25:18,520 --> 00:25:20,960 Speaker 2: levered single stocky up and a nice little stock, a 507 00:25:21,080 --> 00:25:24,200 Speaker 2: nice or nice big stock, a nice Calm Warren Buffetty 508 00:25:24,720 --> 00:25:26,000 Speaker 2: Value Eddy Eddie. 509 00:25:26,119 --> 00:25:27,600 Speaker 1: Yeah, yeah, I don't know. 510 00:25:28,520 --> 00:25:29,720 Speaker 2: I'm not it's not my head. 511 00:25:29,920 --> 00:25:33,159 Speaker 1: I'm excited to with so many with so many of 512 00:25:33,160 --> 00:25:36,479 Speaker 1: these products. I am excited to see them launch, and 513 00:25:36,560 --> 00:25:40,040 Speaker 1: I'm excited to then check on them in like six months. 514 00:25:40,240 --> 00:25:44,000 Speaker 2: I just feel like technology and like, know, how are 515 00:25:44,040 --> 00:25:46,439 Speaker 2: going to progress to the point where you can like 516 00:25:46,600 --> 00:25:50,880 Speaker 2: viably run a five million dollar ETF. Right, you can 517 00:25:50,880 --> 00:25:53,640 Speaker 2: just be like, we offer a suite of twenty thousand ETFs, 518 00:25:53,800 --> 00:25:55,960 Speaker 2: and you know, if each of them raises five million dollars, 519 00:25:56,000 --> 00:25:58,520 Speaker 2: it's fine, And then you have whatever dune thing you 520 00:25:58,560 --> 00:26:01,080 Speaker 2: want in an ETF. You can have heard two times 521 00:26:01,160 --> 00:26:03,640 Speaker 2: every single stock and if someone wants it, they can 522 00:26:03,680 --> 00:26:05,359 Speaker 2: buy it. And like this is like the sort of 523 00:26:05,400 --> 00:26:07,679 Speaker 2: thing it's like less appealing than like Tesla and Nvidia 524 00:26:07,840 --> 00:26:09,840 Speaker 2: for this thing, but like more appealing than like some 525 00:26:09,960 --> 00:26:11,840 Speaker 2: stock you've never heard of. But they're going to keep 526 00:26:11,840 --> 00:26:12,600 Speaker 2: going down the list. 527 00:26:12,720 --> 00:26:15,080 Speaker 1: Yeah, we are approaching the point where there's going to 528 00:26:15,119 --> 00:26:20,240 Speaker 1: be more US listed ETFs than US listed companies, which 529 00:26:20,280 --> 00:26:21,080 Speaker 1: will be fun. 530 00:26:20,920 --> 00:26:23,439 Speaker 2: And all should It's like the power set of you 531 00:26:23,480 --> 00:26:26,760 Speaker 2: has listed companies. It's like every possible combination of companies 532 00:26:27,000 --> 00:26:27,399 Speaker 2: is going. 533 00:26:27,280 --> 00:26:28,600 Speaker 1: To be averaged to end in verse. 534 00:26:30,040 --> 00:26:33,960 Speaker 2: Every possible single stock two stock, three stock. 535 00:26:33,800 --> 00:26:37,479 Speaker 1: Pir trades, seven stocks, YEAHWY three stock, any number. Oh 536 00:26:37,520 --> 00:26:39,760 Speaker 1: my god, this sky's the limit. But I was chatting 537 00:26:39,800 --> 00:26:42,840 Speaker 1: with some of my colleagues on my print team who 538 00:26:42,960 --> 00:26:45,720 Speaker 1: cover ETFs with me at Bloomberg News. I don't know 539 00:26:45,760 --> 00:26:49,280 Speaker 1: why it's such a preamble, And we chat to a 540 00:26:49,280 --> 00:26:52,399 Speaker 1: lot of white label issuers because they're really interesting. They 541 00:26:52,440 --> 00:26:54,600 Speaker 1: work with a lot of different clients. And we were 542 00:26:54,600 --> 00:26:57,840 Speaker 1: talking about what it costs to launch an ETF. Costs 543 00:26:57,880 --> 00:27:02,760 Speaker 1: have come down mightily, and depending on what your strategy is, 544 00:27:02,840 --> 00:27:05,960 Speaker 1: you can launch an ETF for like fifty grand And 545 00:27:06,280 --> 00:27:08,960 Speaker 1: I heard that and I was like, why you have 546 00:27:09,000 --> 00:27:11,600 Speaker 1: an ETF? Why don't I have an idea? And that 547 00:27:11,680 --> 00:27:15,040 Speaker 1: also explains why we've just seened so many launches. It 548 00:27:15,119 --> 00:27:16,520 Speaker 1: is just silly season out there. 549 00:27:17,160 --> 00:27:19,399 Speaker 2: It's like barely a product. It's like a It's just 550 00:27:19,440 --> 00:27:22,120 Speaker 2: a combination of stocks, and they can just you can 551 00:27:22,240 --> 00:27:24,639 Speaker 2: just any combination you can dream of. You pay a 552 00:27:24,720 --> 00:27:26,639 Speaker 2: small fee and then you can offer it and maybe 553 00:27:26,720 --> 00:27:28,480 Speaker 2: a litle bike side of it. There is we're not 554 00:27:28,480 --> 00:27:29,399 Speaker 2: there yet. We're getting there. 555 00:27:29,480 --> 00:27:31,600 Speaker 1: There is some break even level of asket. 556 00:27:31,600 --> 00:27:34,480 Speaker 2: Shure s show shure. We're not there yet where this 557 00:27:34,560 --> 00:27:35,280 Speaker 2: is like the future. 558 00:27:35,359 --> 00:27:37,159 Speaker 1: The future is right. We're gonna have a ton of 559 00:27:37,280 --> 00:27:39,440 Speaker 1: MM and A every deal is going to go through, 560 00:27:39,560 --> 00:27:43,320 Speaker 1: and boy, we're just gonna have thousands of ETFs and 561 00:27:43,720 --> 00:27:45,879 Speaker 1: so much meat in our burritos. 562 00:27:48,680 --> 00:27:50,120 Speaker 2: And that was the Money Stuff Podcast. 563 00:27:50,280 --> 00:27:52,280 Speaker 1: I'm Matt Livian and I'm Katie Greifeld. 564 00:27:52,640 --> 00:27:54,720 Speaker 2: You can find my work by subscribing to the money 565 00:27:54,720 --> 00:27:57,200 Speaker 2: Stuff newsletter on Bloomberg dot com. 566 00:27:57,080 --> 00:27:59,520 Speaker 1: And you can find me on Bloomberg TV every day 567 00:27:59,600 --> 00:28:02,680 Speaker 1: on an interest between nine to eleven am Eastern. 568 00:28:02,800 --> 00:28:04,479 Speaker 2: We'd love to hear from you. You can send an 569 00:28:04,480 --> 00:28:07,639 Speaker 2: email to you Moneypod at Bloomberg dot net. 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