1 00:00:02,480 --> 00:00:08,079 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. Yeah, we got to 2 00:00:08,119 --> 00:00:09,000 Speaker 1: have more fun around here. 3 00:00:09,039 --> 00:00:12,960 Speaker 2: Oh god, Okay, speaking of fun, this is the antithesis 4 00:00:13,160 --> 00:00:17,040 Speaker 2: is fun. This is the antithesis of funds. No, no, no, 5 00:00:17,320 --> 00:00:18,119 Speaker 2: you haven't heard me. 6 00:00:18,280 --> 00:00:19,200 Speaker 1: Oh okay. 7 00:00:19,280 --> 00:00:21,000 Speaker 2: So I went to write one of. 8 00:00:21,000 --> 00:00:26,080 Speaker 1: Our I did a deadlist. 9 00:00:26,120 --> 00:00:29,680 Speaker 2: I'm both the most popular trader and most successful trader 10 00:00:29,880 --> 00:00:32,920 Speaker 2: at Citadel that is going viral, barges. 11 00:00:33,000 --> 00:00:35,080 Speaker 1: This is an after school special, except. 12 00:00:34,800 --> 00:00:37,320 Speaker 2: I've decided I'm going to base my entire personality going 13 00:00:37,360 --> 00:00:40,560 Speaker 2: forward on campaigning for a strategic pork reserve in the US. 14 00:00:40,800 --> 00:00:41,559 Speaker 1: Black goals. 15 00:00:41,640 --> 00:00:44,239 Speaker 2: These are the important question. Is that robots taking over 16 00:00:44,280 --> 00:00:44,640 Speaker 2: the world. 17 00:00:44,720 --> 00:00:47,559 Speaker 1: No, I think that, like in a couple of years, 18 00:00:47,720 --> 00:00:50,040 Speaker 1: the AI will do a really good job of making 19 00:00:50,040 --> 00:00:53,040 Speaker 1: the odd Launch podcast. One day that person will have 20 00:00:53,080 --> 00:00:54,120 Speaker 1: the mandate of Heaven. 21 00:00:54,280 --> 00:00:56,480 Speaker 2: How do I get more popular and successful? 22 00:00:56,800 --> 00:00:57,720 Speaker 3: We do have. 23 00:01:00,040 --> 00:01:02,360 Speaker 2: You're listening to lots More, where we catch up with 24 00:01:02,400 --> 00:01:04,240 Speaker 2: friends about what's going on right now. 25 00:01:04,520 --> 00:01:07,919 Speaker 1: Okay, even when the Odds is over, there's always lots more. 26 00:01:08,200 --> 00:01:14,399 Speaker 2: And we really do have the perfect guest. So I 27 00:01:14,480 --> 00:01:17,080 Speaker 2: went to write one of our Odd Lots newsletters recently, 28 00:01:17,120 --> 00:01:19,240 Speaker 2: and I was going to write about micro strategy, and 29 00:01:19,319 --> 00:01:21,319 Speaker 2: I had this idea. I was going to call it 30 00:01:21,400 --> 00:01:25,160 Speaker 2: micro's Strategy's infinite money loop. And then I was researching 31 00:01:25,200 --> 00:01:28,200 Speaker 2: on the terminal and I stumbled on a bunch of 32 00:01:28,240 --> 00:01:31,800 Speaker 2: Matt Levine columns where you actually titled it crypto's perpetual 33 00:01:31,840 --> 00:01:34,760 Speaker 2: motion machine. And then I thought, well, I'm not even 34 00:01:34,760 --> 00:01:36,840 Speaker 2: going to try to compete with Matt. I'm just going 35 00:01:36,920 --> 00:01:39,840 Speaker 2: to ask him to come on the show and explaining cases. 36 00:01:40,040 --> 00:01:43,240 Speaker 1: Yeah, cases, but at least he'll come on the podcast. 37 00:01:43,280 --> 00:01:45,319 Speaker 2: So here we are with Matt Levine, who is of 38 00:01:45,360 --> 00:01:47,800 Speaker 2: course the author of the money Stuff column but also 39 00:01:47,840 --> 00:01:52,360 Speaker 2: the co host of the New money Stuff podcast. 40 00:01:53,960 --> 00:01:56,000 Speaker 3: I keep thinking it's two months old. It was the year. 41 00:01:56,400 --> 00:01:57,080 Speaker 1: I really. 42 00:01:58,920 --> 00:01:59,560 Speaker 2: Wow time. 43 00:02:00,200 --> 00:02:02,720 Speaker 1: I always think twenty twenty was two years ago. 44 00:02:02,840 --> 00:02:04,000 Speaker 3: Same time. Time. 45 00:02:04,280 --> 00:02:07,480 Speaker 2: Yeah, time is a flat circle. Matt, what is micro 46 00:02:07,520 --> 00:02:10,079 Speaker 2: Strategy's perpetual motion machine? 47 00:02:10,639 --> 00:02:15,200 Speaker 3: Micro strategy? I keep saying perpetual motion machine. I think 48 00:02:15,240 --> 00:02:19,640 Speaker 3: I'm kidding. I think I'm kidding. I keep hoping that 49 00:02:19,680 --> 00:02:22,880 Speaker 3: I'm kidding. So micro strategy is a pot of bitcoins 50 00:02:23,240 --> 00:02:26,840 Speaker 3: that issues stock, and the stock trades at call it 51 00:02:26,919 --> 00:02:29,120 Speaker 3: two times the value of the pot of bitcoins. And 52 00:02:29,160 --> 00:02:32,040 Speaker 3: so if you have that situation, you sell more stock 53 00:02:32,280 --> 00:02:37,000 Speaker 3: to buy bitcoins because like classically that's an arbitrage, and 54 00:02:37,080 --> 00:02:39,800 Speaker 3: you close the arbitrage, right, you sell stock that brings 55 00:02:39,800 --> 00:02:41,960 Speaker 3: down the price of your stock. You buy bigcoins, that 56 00:02:42,000 --> 00:02:44,280 Speaker 3: brings up the price of bitcoin. Eventually you get to 57 00:02:44,320 --> 00:02:47,000 Speaker 3: the point where you're stock and the value of the 58 00:02:47,080 --> 00:02:50,200 Speaker 3: underlying bitcoins is the same mecro strategy, Like it never 59 00:02:50,240 --> 00:02:53,400 Speaker 3: gets any closer. So that keep selling more stock and 60 00:02:53,440 --> 00:02:55,679 Speaker 3: buying more bitcoins, and that keeps driving the value of 61 00:02:55,680 --> 00:02:57,680 Speaker 3: the company up, and so they keep getting more and 62 00:02:57,720 --> 00:02:58,440 Speaker 3: more valuable. 63 00:02:58,639 --> 00:03:03,200 Speaker 1: They have an as it so to speak, it's not bitcoin, 64 00:03:03,360 --> 00:03:07,440 Speaker 1: and that asset is the ability to get like non 65 00:03:07,520 --> 00:03:08,880 Speaker 1: margin callable leverage. 66 00:03:08,960 --> 00:03:13,480 Speaker 3: Right, So I mean like like if. 67 00:03:13,400 --> 00:03:16,360 Speaker 1: I wanted to borrow bitcoin or borrow money to buy bitcoin, 68 00:03:16,400 --> 00:03:18,359 Speaker 1: I could, but there is a chance that bitcoin goes 69 00:03:18,440 --> 00:03:20,760 Speaker 1: down tomorrow, they ask for my money back, and I'm homeless. 70 00:03:20,919 --> 00:03:23,360 Speaker 3: So this is a thing that they say, and that 71 00:03:23,400 --> 00:03:28,040 Speaker 3: has some truth to it, but this is not a 72 00:03:28,120 --> 00:03:30,600 Speaker 3: leveraged way to buy bitcoin. And the way you know 73 00:03:30,680 --> 00:03:33,680 Speaker 3: that is that the market cap of the company is 74 00:03:33,720 --> 00:03:36,480 Speaker 3: two x the value of its bitcoins. Right, So it's 75 00:03:36,480 --> 00:03:39,200 Speaker 3: like a it's like an anti leveraged way to buy bitcoin, right, 76 00:03:39,440 --> 00:03:41,960 Speaker 3: Like if you put two dollars into micro strategy, you 77 00:03:42,040 --> 00:03:44,160 Speaker 3: get back one dollar of bitcoin, which is the opposite 78 00:03:44,200 --> 00:03:46,600 Speaker 3: of leverage. Now it's true that like and they did. 79 00:03:46,680 --> 00:03:48,520 Speaker 3: And by the way, also like they do have the 80 00:03:48,520 --> 00:03:51,080 Speaker 3: ability to like they're right, like they've sort of touted 81 00:03:51,080 --> 00:03:53,320 Speaker 3: this as their strategy, like we are a better mouse 82 00:03:53,320 --> 00:03:55,600 Speaker 3: trap for buying bitcoin because we can get leverage. They 83 00:03:55,600 --> 00:03:58,440 Speaker 3: do a lot of convertible bonds. They don't. I don't 84 00:03:58,440 --> 00:03:59,920 Speaker 3: think I have a ton of like you know, just 85 00:04:00,240 --> 00:04:04,320 Speaker 3: sort of regular, non like non marginal leverage other than 86 00:04:04,360 --> 00:04:06,880 Speaker 3: the converts. But like, yeah, like that's a that's a 87 00:04:06,960 --> 00:04:09,640 Speaker 3: theoretical case. It's just like it's just not like true 88 00:04:09,640 --> 00:04:10,640 Speaker 3: as a matter of pricing. 89 00:04:10,920 --> 00:04:14,280 Speaker 2: Wait, the convertible bonds are actually what like initially caught 90 00:04:14,280 --> 00:04:16,960 Speaker 2: my eye because I think they issued at like one 91 00:04:17,000 --> 00:04:20,040 Speaker 2: of the recent ones zero percent with a conversion premium 92 00:04:20,240 --> 00:04:23,360 Speaker 2: of fifty five percent. And that's like already when the 93 00:04:23,400 --> 00:04:26,920 Speaker 2: stock is trading at this massive premium to the value 94 00:04:27,240 --> 00:04:31,599 Speaker 2: of its assets. And so you know, usually the higher 95 00:04:31,600 --> 00:04:33,800 Speaker 2: the conversion premium and the lower the coupon. The less 96 00:04:33,839 --> 00:04:38,040 Speaker 2: attractive that would be for investors, but clearly people are 97 00:04:38,040 --> 00:04:39,840 Speaker 2: buying this stuff because they keep doing it. 98 00:04:39,960 --> 00:04:43,360 Speaker 3: Yeah, Like a convert is just like it can convert. 99 00:04:43,360 --> 00:04:45,479 Speaker 3: You just plug into a model, right, Like, well, sorry, 100 00:04:45,520 --> 00:04:46,880 Speaker 3: I taking a step back. 101 00:04:47,839 --> 00:04:50,120 Speaker 2: I actually need you to explain convertible arbitrage. 102 00:04:50,160 --> 00:04:52,560 Speaker 3: Team. So there's there's two things there. There's convertible arbitrage. 103 00:04:52,560 --> 00:04:54,840 Speaker 3: So there's also a lot of like fundamental investors you 104 00:04:54,880 --> 00:04:58,560 Speaker 3: think about like the micro shadowy convertible never mind convertible arbitrage. 105 00:04:58,839 --> 00:05:01,680 Speaker 3: There are people in the wor world who run I 106 00:05:01,720 --> 00:05:06,200 Speaker 3: don't know, fixed income funds who run you know, like 107 00:05:07,240 --> 00:05:10,640 Speaker 3: convertible fundamental funds, who run various sorts of funds who 108 00:05:10,920 --> 00:05:12,440 Speaker 3: wake up in the morning thinking I want to buy 109 00:05:12,520 --> 00:05:16,279 Speaker 3: some bitcoin, and they can't because their mandate doesn't include bitcoin. 110 00:05:16,360 --> 00:05:18,520 Speaker 3: It might not even include micro strategy stock or micro 111 00:05:18,560 --> 00:05:21,120 Speaker 3: strategy stock might be too rich for them. But they 112 00:05:21,240 --> 00:05:23,440 Speaker 3: like they can buy a fixed income product that has 113 00:05:23,480 --> 00:05:25,440 Speaker 3: some bitcoin upside. They're like, yeah, that's great, right. So 114 00:05:25,520 --> 00:05:27,520 Speaker 3: part of the investment thesis for these bonds, and there's 115 00:05:27,560 --> 00:05:29,760 Speaker 3: like a lot of these bonds is something like that. 116 00:05:29,839 --> 00:05:32,000 Speaker 3: It's like this is a way to get bitcoin upside 117 00:05:32,000 --> 00:05:36,279 Speaker 3: with downside protection. But the convert arbitrage strategy is this 118 00:05:36,320 --> 00:05:38,720 Speaker 3: is the way to get micro strategy volatility, and micro 119 00:05:38,760 --> 00:05:42,200 Speaker 3: strategy is so volatile in part because it's crazy, but 120 00:05:42,240 --> 00:05:44,800 Speaker 3: in part because of like technical factors involving their ETPs, 121 00:05:45,200 --> 00:05:48,560 Speaker 3: and so a convert arb is just an options trading strategy, 122 00:05:48,720 --> 00:05:51,960 Speaker 3: like like you're buying call options on micro strategy, and 123 00:05:52,560 --> 00:05:55,520 Speaker 3: call options are more valuable the more volatile the company is, 124 00:05:55,839 --> 00:05:58,080 Speaker 3: more volatile the stock is. And this is a very 125 00:05:58,160 --> 00:06:00,919 Speaker 3: you know has like one hundred percent annual volatility, and 126 00:06:00,920 --> 00:06:04,039 Speaker 3: then you know what you're doing is like get you 127 00:06:04,120 --> 00:06:06,640 Speaker 3: buy a convertible, You sell some stock to hedge, and 128 00:06:06,680 --> 00:06:09,039 Speaker 3: you adjust your hedge over time as the con the 129 00:06:09,480 --> 00:06:12,880 Speaker 3: convertible gets more or less in the money. And the 130 00:06:12,920 --> 00:06:14,799 Speaker 3: way you do that is basically, every time the stock 131 00:06:14,800 --> 00:06:17,680 Speaker 3: goes up, you're selling more stock to get shorter, and 132 00:06:17,760 --> 00:06:19,679 Speaker 3: every time the stock goes down, you buy back stock 133 00:06:19,760 --> 00:06:23,560 Speaker 3: to reduce your hedge. And if the stock is constantly 134 00:06:23,560 --> 00:06:25,800 Speaker 3: bouncing around, you're constantly buying low and selling high and 135 00:06:25,839 --> 00:06:28,360 Speaker 3: making a lot of money. So it's a good volatility trade. 136 00:06:28,640 --> 00:06:30,560 Speaker 3: And those convertible terms you know, it's like zeros up 137 00:06:30,560 --> 00:06:35,040 Speaker 3: fifty five is like that sounds outrageous, but you plug 138 00:06:35,080 --> 00:06:37,120 Speaker 3: it into the model and you put in you know, 139 00:06:37,160 --> 00:06:39,680 Speaker 3: one hundred percent of volatility and that's cheap, and so 140 00:06:39,760 --> 00:06:40,640 Speaker 3: like people want to buy it. 141 00:06:40,760 --> 00:06:43,159 Speaker 2: Joe, I didn't realize this until recently, but you know, 142 00:06:43,200 --> 00:06:45,240 Speaker 2: if you go and look at some of micro Strategies 143 00:06:45,279 --> 00:06:51,080 Speaker 2: earning presentations, so they actually have slides on there that 144 00:06:51,160 --> 00:06:54,880 Speaker 2: are basically like boasting about how volatile the stock is. 145 00:06:54,920 --> 00:06:57,520 Speaker 2: Have you seen these, Matt I think so, yeah, it's 146 00:06:57,520 --> 00:07:00,440 Speaker 2: like MSTR is more volatile than any other s and 147 00:07:00,480 --> 00:07:02,800 Speaker 2: P five hundred stock there's another market. 148 00:07:03,440 --> 00:07:03,760 Speaker 3: Yeah. 149 00:07:03,800 --> 00:07:07,080 Speaker 2: Yeah, they're clearly like marketing the volatility is a selling. 150 00:07:06,800 --> 00:07:10,280 Speaker 3: Point, like they know what they're doing, like like this 151 00:07:10,360 --> 00:07:12,240 Speaker 3: is important. This is like they're they're like sort of 152 00:07:12,320 --> 00:07:14,880 Speaker 3: using every part of like this strategy to raise money, 153 00:07:14,920 --> 00:07:16,840 Speaker 3: which is like they're really like thoughtful about it and 154 00:07:16,880 --> 00:07:20,680 Speaker 3: like selling lots of volatility is very helpful to them. 155 00:07:20,720 --> 00:07:23,240 Speaker 3: And the punde that the ETF is like you know, 156 00:07:23,320 --> 00:07:26,080 Speaker 3: convert investor buys low cells high right, every time the 157 00:07:26,080 --> 00:07:27,520 Speaker 3: stock goes down, you have to buy back some stock 158 00:07:27,520 --> 00:07:28,800 Speaker 3: every time the stock goes up, you have to sell 159 00:07:28,840 --> 00:07:32,360 Speaker 3: some stock. That is, you're profiting from volatility, but you're 160 00:07:32,360 --> 00:07:35,240 Speaker 3: also damping volatility, right because like then the stock goes down, 161 00:07:35,320 --> 00:07:38,560 Speaker 3: you're buying. So if you issue a lot of convertibles, 162 00:07:38,800 --> 00:07:41,720 Speaker 3: you dampen the volatility in your stock. Micro Strategy doesn't 163 00:07:41,720 --> 00:07:44,480 Speaker 3: have this problem because they also have these LeVert ETFs 164 00:07:44,880 --> 00:07:48,000 Speaker 3: which so much increase the volatility of the stock. Because 165 00:07:48,000 --> 00:07:50,560 Speaker 3: a LEVERTYTF every time the stock goes up, they have 166 00:07:50,640 --> 00:07:52,360 Speaker 3: to buy more stock every time the thought goes down 167 00:07:52,480 --> 00:07:54,720 Speaker 3: if the sell stock, and so the Leverty TTF is 168 00:07:54,760 --> 00:07:56,560 Speaker 3: like jacking up the volatility, which is part of why 169 00:07:56,600 --> 00:07:58,160 Speaker 3: the stock is so validle. 170 00:07:57,840 --> 00:08:01,640 Speaker 1: So it does a perpetual motion machine. It's solved, No, okay. 171 00:08:01,760 --> 00:08:04,960 Speaker 3: The what the thing that I don't understand is the 172 00:08:05,000 --> 00:08:07,120 Speaker 3: premium of the stock, like the volatility Like yeah, like 173 00:08:07,120 --> 00:08:09,200 Speaker 3: that that that works, right? The volatility trade is a 174 00:08:09,200 --> 00:08:12,040 Speaker 3: good trade the stock, Like why is the stock worth 175 00:08:12,120 --> 00:08:14,200 Speaker 3: twice the value of the underlying big guys? I don't know. 176 00:08:14,880 --> 00:08:17,800 Speaker 1: Yeah, it's weird. A big crash in bigcoin would be 177 00:08:17,840 --> 00:08:20,160 Speaker 1: really bad, right, and that's very possible because it's crashed 178 00:08:20,200 --> 00:08:21,480 Speaker 1: many times in this history. 179 00:08:21,880 --> 00:08:25,400 Speaker 3: Yeah, you know, like your guess is as good as mine. 180 00:08:25,440 --> 00:08:27,640 Speaker 3: About like what that does to the premium, Like if 181 00:08:27,720 --> 00:08:29,760 Speaker 3: Bitcoin goes down by fifty percent, does this stock go 182 00:08:29,800 --> 00:08:32,240 Speaker 3: down by fifty percent because it go do go down 183 00:08:32,280 --> 00:08:35,079 Speaker 3: by ninety percent? Who knows? 184 00:08:46,720 --> 00:08:49,679 Speaker 2: Could I start my own perpetual money making machine where 185 00:08:49,720 --> 00:08:51,840 Speaker 2: I just have a pot of something and then I 186 00:08:51,880 --> 00:08:54,400 Speaker 2: try to make my stock as volatile as possible, Like 187 00:08:54,440 --> 00:08:57,600 Speaker 2: maybe I just say stuff and constantly do it. 188 00:08:57,559 --> 00:09:00,000 Speaker 3: Like everybody's are trying. No one's like at this scale, 189 00:09:00,240 --> 00:09:02,200 Speaker 3: but like a lot of companies have looked at this 190 00:09:02,280 --> 00:09:03,959 Speaker 3: and said we should do that, and so some of 191 00:09:04,000 --> 00:09:06,199 Speaker 3: them should do it. Some of them do it, like dogecoin, 192 00:09:06,320 --> 00:09:08,679 Speaker 3: you know, like you can have other there's. 193 00:09:08,520 --> 00:09:10,360 Speaker 1: Like random like kind of dt. 194 00:09:11,240 --> 00:09:14,560 Speaker 3: I wrote about the half choking crypto thing that's doing 195 00:09:14,559 --> 00:09:17,080 Speaker 3: it called you know, there's like a crypto called part coin. 196 00:09:17,200 --> 00:09:18,560 Speaker 1: There's a strategy. 197 00:09:18,760 --> 00:09:19,880 Speaker 3: Yeah it was not a company. 198 00:09:20,000 --> 00:09:23,080 Speaker 1: Yeah yeah, replicated on chain? 199 00:09:23,280 --> 00:09:27,000 Speaker 3: So yeah, yeah, well it can like the mechanics can 200 00:09:27,559 --> 00:09:29,600 Speaker 3: can the premium be replicated on chain? I don't know. 201 00:09:29,720 --> 00:09:31,960 Speaker 3: I mean you can sort of sell anything, but like 202 00:09:32,520 --> 00:09:35,199 Speaker 3: I think part of the premium here comes from it 203 00:09:35,320 --> 00:09:37,120 Speaker 3: being a real corporation, right, I mean one thing that's 204 00:09:37,120 --> 00:09:39,280 Speaker 3: like attried to put up micro strategy, Like they're trying 205 00:09:39,280 --> 00:09:41,360 Speaker 3: to get into the S and P five hundred Yeah, 206 00:09:41,440 --> 00:09:46,840 Speaker 3: which is a fascinating Like that turns on a change 207 00:09:46,840 --> 00:09:48,880 Speaker 3: in the accounting rules that allow for them to take 208 00:09:49,200 --> 00:09:53,240 Speaker 3: to account for their bitcoin gains as profits. 209 00:09:53,320 --> 00:09:53,959 Speaker 1: I didn't love it. 210 00:09:54,240 --> 00:09:57,120 Speaker 3: Yeah, So like they may not get into the SMP anyway, 211 00:09:57,160 --> 00:10:00,120 Speaker 3: but like they they have not been profitable enough to 212 00:10:00,120 --> 00:10:03,280 Speaker 3: get into the SMP, but like the bitcoin gains, they 213 00:10:03,280 --> 00:10:05,120 Speaker 3: have had biggining gains most of the time, and like 214 00:10:05,160 --> 00:10:07,240 Speaker 3: that will become accounting profit for them. 215 00:10:07,280 --> 00:10:09,280 Speaker 1: I want to ask you a question that touches in 216 00:10:09,320 --> 00:10:12,160 Speaker 1: one of Tracy's favorite topics, and it's actually a little 217 00:10:12,160 --> 00:10:15,880 Speaker 1: bit adjacent here. What would be the problem of just 218 00:10:15,960 --> 00:10:19,520 Speaker 1: having an index that's just these are the five hundred 219 00:10:19,559 --> 00:10:23,319 Speaker 1: biggest companies. Is there any like what's better about having 220 00:10:23,320 --> 00:10:27,199 Speaker 1: an S and P that sometimes has some discretion versus 221 00:10:27,360 --> 00:10:29,480 Speaker 1: just like you're the five hundred biggest companies. 222 00:10:29,160 --> 00:10:33,120 Speaker 3: In the world, in the US whatever in this immediate case, 223 00:10:34,080 --> 00:10:39,320 Speaker 3: like what is a company? Like is spy a company? Oh? Interesting, 224 00:10:39,559 --> 00:10:42,120 Speaker 3: because like this is this is an etf right, I mean, like, 225 00:10:42,240 --> 00:10:45,320 Speaker 3: arguably this is an eat, right, it's in the trappings 226 00:10:45,320 --> 00:10:48,440 Speaker 3: of a tech company. But like if you said the 227 00:10:48,440 --> 00:10:50,319 Speaker 3: biggest company as well, you know, like is it S 228 00:10:50,360 --> 00:10:52,760 Speaker 3: and P five hundred? Fun a company? But away from 229 00:10:52,760 --> 00:10:56,440 Speaker 3: that now, I mean, like people definitely have very rule 230 00:10:56,520 --> 00:10:58,920 Speaker 3: driven indices. I think part of the appeal of the 231 00:10:59,000 --> 00:11:02,920 Speaker 3: SMP is, you know, it's a product that's sold to 232 00:11:02,960 --> 00:11:05,640 Speaker 3: fund managers, right, and like if if every fund manager 233 00:11:05,679 --> 00:11:08,600 Speaker 3: says I don't want to own, you know, for a while, 234 00:11:08,720 --> 00:11:10,920 Speaker 3: the SMP was for a while a lot of indexes 235 00:11:10,960 --> 00:11:14,240 Speaker 3: were excluding dual class stocks because like fund managers would 236 00:11:14,280 --> 00:11:15,959 Speaker 3: call the index providers and say, we don't want to 237 00:11:15,960 --> 00:11:18,720 Speaker 3: own dual class stocks, were bound to buy the index, 238 00:11:18,720 --> 00:11:20,040 Speaker 3: so take them out of the index. And then like 239 00:11:20,080 --> 00:11:22,080 Speaker 3: they changed their mind because all the dual class stocks 240 00:11:22,120 --> 00:11:23,760 Speaker 3: were doing well and so they had to put them 241 00:11:23,760 --> 00:11:26,200 Speaker 3: back in the index. But it's like it's just a 242 00:11:26,240 --> 00:11:29,080 Speaker 3: market driven thing, right, Like if people want a certain index, 243 00:11:29,120 --> 00:11:31,319 Speaker 3: they get that index. Was something wrong with having the 244 00:11:31,360 --> 00:11:32,840 Speaker 3: top five hundred companies the index. 245 00:11:32,960 --> 00:11:36,040 Speaker 2: Like nowadays everyone has started custom indexing as well, right, 246 00:11:36,160 --> 00:11:37,440 Speaker 2: so like if you don't like the S and P 247 00:11:37,559 --> 00:11:39,720 Speaker 2: five hundred, you can just ask for your own index 248 00:11:39,760 --> 00:11:41,679 Speaker 2: and that's why there's a billion indexes. 249 00:11:41,720 --> 00:11:41,920 Speaker 3: Now. 250 00:11:42,440 --> 00:11:44,480 Speaker 2: The other thing I saw was there was a bitcoin 251 00:11:45,040 --> 00:11:48,480 Speaker 2: minor I think it was called Mara or something, Marara Holdings, 252 00:11:48,520 --> 00:11:51,240 Speaker 2: and they said they weren't going to issue converts basically 253 00:11:51,360 --> 00:11:53,640 Speaker 2: to do the same thing as micro strategy. So it's 254 00:11:53,679 --> 00:11:55,880 Speaker 2: almost like, is this going to be like an asset 255 00:11:55,960 --> 00:11:57,840 Speaker 2: class a thing that stays with us? 256 00:11:58,360 --> 00:12:01,600 Speaker 3: Yeah? You know, the people in the convert market talk 257 00:12:01,640 --> 00:12:05,160 Speaker 3: about being saturated with with like crypto converts. Right, Like 258 00:12:05,160 --> 00:12:07,559 Speaker 3: if you like grew up as a convert investor, you're 259 00:12:07,720 --> 00:12:12,800 Speaker 3: like you're like portfolio and crypto, right part because like 260 00:12:13,400 --> 00:12:16,000 Speaker 3: you think about like the volatility and like the technical 261 00:12:16,000 --> 00:12:18,680 Speaker 3: aspect of making money on the trading, the volatility that 262 00:12:18,800 --> 00:12:21,160 Speaker 3: depends on the credit being good, and like no one 263 00:12:21,240 --> 00:12:23,760 Speaker 3: really knows the credit here, right. If there's a big 264 00:12:23,760 --> 00:12:26,079 Speaker 3: crypto crash, all of these credits like in a very 265 00:12:26,120 --> 00:12:29,679 Speaker 3: correlated way become terrible, and so like your whole you know, 266 00:12:30,000 --> 00:12:31,199 Speaker 3: asset class falls apart. 267 00:12:32,080 --> 00:12:35,120 Speaker 1: Prior to all this, what was the canonical use case 268 00:12:35,160 --> 00:12:37,160 Speaker 1: of who and why issue converts? 269 00:12:37,640 --> 00:12:37,840 Speaker 3: Oh? 270 00:12:38,480 --> 00:12:42,360 Speaker 2: Uh, I seem to remember energy companies. 271 00:12:42,600 --> 00:12:45,000 Speaker 3: Energy did a lot. I mean, like the canonical case 272 00:12:45,800 --> 00:12:50,120 Speaker 3: is like tech biotech like but a lot of energy too. 273 00:12:50,240 --> 00:12:53,280 Speaker 3: You know, it's like it's like companies that are volatile, 274 00:12:53,520 --> 00:12:56,600 Speaker 3: companies that often don't want to get credit ratings. Companies 275 00:12:56,640 --> 00:13:02,160 Speaker 3: that you know, like what you're saying telling is in 276 00:13:02,200 --> 00:13:05,920 Speaker 3: some sense equity upside and in some other sense equity volatility, 277 00:13:06,200 --> 00:13:09,400 Speaker 3: and that's more attractive to converted Like they're companies that 278 00:13:09,440 --> 00:13:12,520 Speaker 3: have attried to equity volatility and not such attractive credit 279 00:13:12,559 --> 00:13:14,760 Speaker 3: to like traditional credit investors, and so they can do 280 00:13:15,600 --> 00:13:17,240 Speaker 3: that trade rather than a sharing bonds. 281 00:13:30,440 --> 00:13:31,640 Speaker 1: You have a deep seat, take. 282 00:13:33,080 --> 00:13:37,920 Speaker 3: Various takes. My main take was today, like your old 283 00:13:38,120 --> 00:13:41,400 Speaker 3: that you know, the way to monetize deep seek was 284 00:13:41,800 --> 00:13:45,760 Speaker 3: short video. 285 00:13:44,559 --> 00:13:47,920 Speaker 1: I was my old blog at the star war dot 286 00:13:47,920 --> 00:13:49,839 Speaker 1: com in like two thousand. This was when, you know 287 00:13:49,880 --> 00:13:52,719 Speaker 1: what I thought about this When Google introduced sheets or 288 00:13:52,760 --> 00:13:55,400 Speaker 1: when they came out with their Access competitor, I was like, 289 00:13:55,440 --> 00:13:58,400 Speaker 1: some companies should start doing this. When they short Microsoft 290 00:13:58,800 --> 00:14:01,160 Speaker 1: for some reason, Sheets never really took off and became 291 00:14:01,200 --> 00:14:04,080 Speaker 1: an Excel competitor on a real level. But back when 292 00:14:04,080 --> 00:14:07,160 Speaker 1: it was so much free web two dot software, I thought, 293 00:14:07,360 --> 00:14:09,240 Speaker 1: give up free software and short your competitor. 294 00:14:09,280 --> 00:14:13,840 Speaker 3: Anyway, Yeah, I mean there's no evidence that Deep Yeah, 295 00:14:13,840 --> 00:14:15,400 Speaker 3: it'd be cool if they did. 296 00:14:19,560 --> 00:14:22,680 Speaker 1: Lots More is produced by Carmen Rodriguez and dash Ol Bennett, 297 00:14:22,720 --> 00:14:24,880 Speaker 1: with help from Moses Onam and kil Brooks. 298 00:14:25,280 --> 00:14:28,440 Speaker 2: Our sound engineer is Blake Maples. Sage Bauman is the 299 00:14:28,480 --> 00:14:29,880 Speaker 2: head of Bloomberg Podcasts. 300 00:14:30,320 --> 00:14:33,680 Speaker 1: Please rate, review, and subscribe to Odd, Lots and Lots 301 00:14:33,680 --> 00:14:36,600 Speaker 1: More on your favorite podcast platforms. 302 00:14:36,320 --> 00:14:39,080 Speaker 2: And remember that Bloomberg subscribers can listen to all our 303 00:14:39,120 --> 00:14:43,760 Speaker 2: podcasts at free by connecting through Apple Podcasts. Thanks for listening.