1 00:00:00,800 --> 00:00:04,040 Speaker 1: Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside 2 00:00:04,040 --> 00:00:06,920 Speaker 1: my co host Matt Miller. Every business day, we bring 3 00:00:06,960 --> 00:00:11,520 Speaker 1: you interviews from CEOs, market pros, and Bloomberg experts, along 4 00:00:11,560 --> 00:00:15,520 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,479 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,720 Speaker 1: at Bloomberg dot com slash podcast. Well in financial markets, 7 00:00:22,760 --> 00:00:25,600 Speaker 1: the rise of Kathy Wood and her ARC Funds has 8 00:00:25,640 --> 00:00:28,680 Speaker 1: just been extraordinary, and it's been predicated in large part 9 00:00:28,840 --> 00:00:31,880 Speaker 1: upon the cool new technologies that are out there that 10 00:00:31,920 --> 00:00:34,480 Speaker 1: they've really embraced in terms of investments, think no further 11 00:00:35,000 --> 00:00:37,199 Speaker 1: uh than Tesla. But the recent months have been a 12 00:00:37,280 --> 00:00:39,559 Speaker 1: little bit challenging. Let's dig into it. We can do 13 00:00:39,600 --> 00:00:42,200 Speaker 1: that with Ben Stepherman. He's a pronounce personal finance editor 14 00:00:42,800 --> 00:00:45,080 Speaker 1: for Bloomberg News. Ben, thanks so much for joining us here. 15 00:00:45,120 --> 00:00:49,159 Speaker 1: The big take story here's Kathy Wood's bad spring is 16 00:00:49,159 --> 00:00:51,720 Speaker 1: a blip when the future is so magnificent. Tell us 17 00:00:51,720 --> 00:00:56,400 Speaker 1: what you found about Kathy Wood and the ARC Funds. Yeah, 18 00:00:56,720 --> 00:01:00,560 Speaker 1: so this story looks at She's been such a phenomenon 19 00:01:00,640 --> 00:01:03,440 Speaker 1: over the last year. You know, she's sort of perfectly 20 00:01:03,480 --> 00:01:07,360 Speaker 1: captured the mood of the market last year UM, when 21 00:01:07,840 --> 00:01:09,560 Speaker 1: you know, we were also a lot of people were 22 00:01:09,560 --> 00:01:14,400 Speaker 1: stuck inside and UM people wanted nothing more to than 23 00:01:14,440 --> 00:01:16,800 Speaker 1: to look forward to the future, to this too, in 24 00:01:16,920 --> 00:01:19,479 Speaker 1: this beautiful future that Kathy Would is talking about, which 25 00:01:19,520 --> 00:01:24,400 Speaker 1: is one of rapid technological change and UM one where 26 00:01:24,880 --> 00:01:26,880 Speaker 1: investors can make a lot of money by betting on 27 00:01:26,959 --> 00:01:31,560 Speaker 1: innovative companies. So those companies just really soared through up 28 00:01:31,640 --> 00:01:34,520 Speaker 1: until about February and then they kind of turned over 29 00:01:34,560 --> 00:01:37,360 Speaker 1: and she's had a really rough spring. So so the 30 00:01:37,400 --> 00:01:39,480 Speaker 1: story looks at her, and it really looks at her 31 00:01:39,560 --> 00:01:41,959 Speaker 1: vision of the world and and how she sees she 32 00:01:42,959 --> 00:01:45,880 Speaker 1: what basically what what the vision that she's selling to 33 00:01:46,000 --> 00:01:48,120 Speaker 1: investors than the one that she thinks she can make 34 00:01:48,160 --> 00:01:52,200 Speaker 1: money on if you're patient. I always think UM the 35 00:01:52,240 --> 00:01:55,440 Speaker 1: timing is perfect for Kathy Would and E T S 36 00:01:55,480 --> 00:01:59,960 Speaker 1: as well, right, because I've been following UM these exchange 37 00:02:00,040 --> 00:02:03,680 Speaker 1: traded funds for a good decade. I always try and 38 00:02:03,680 --> 00:02:06,600 Speaker 1: get Eric Balcunas on the show. He's like our resident 39 00:02:06,840 --> 00:02:10,000 Speaker 1: UM genius on E T F. There's never been a 40 00:02:10,120 --> 00:02:14,239 Speaker 1: breakout manager with the kind of fame that Cathy Wood 41 00:02:14,240 --> 00:02:19,600 Speaker 1: has in this sector of finance. And it's like the 42 00:02:19,680 --> 00:02:23,960 Speaker 1: generational um timing is perfect, right because the kids are 43 00:02:24,000 --> 00:02:27,320 Speaker 1: now investing and they're doing it through E t S 44 00:02:27,400 --> 00:02:29,320 Speaker 1: and this is an e t F that speaks to 45 00:02:29,360 --> 00:02:34,400 Speaker 1: them because they hear about it on their social media platforms. 46 00:02:34,440 --> 00:02:36,720 Speaker 1: She's such a throwback in some ways, not just an 47 00:02:36,720 --> 00:02:41,200 Speaker 1: E t S but just in investing generally. Like who 48 00:02:41,280 --> 00:02:45,440 Speaker 1: is the last person who really appealed to read? Who's 49 00:02:45,480 --> 00:02:47,959 Speaker 1: the last manager that really appealed to the retail investor? 50 00:02:48,040 --> 00:02:49,840 Speaker 1: You have to go back to, like you know, like 51 00:02:49,919 --> 00:02:52,640 Speaker 1: you guess Warren Buffett is is some in some ways 52 00:02:52,760 --> 00:02:55,239 Speaker 1: or around the two thousand's, but we've had this long 53 00:02:55,280 --> 00:02:57,480 Speaker 1: period where people have been really really all about the 54 00:02:57,480 --> 00:03:01,400 Speaker 1: index funds and passive past of investment, and we haven't 55 00:03:01,440 --> 00:03:05,559 Speaker 1: had a big star come along and capture retail investors imagination. 56 00:03:06,240 --> 00:03:09,480 Speaker 1: And and here she comes along and she's UM. Not 57 00:03:09,600 --> 00:03:11,720 Speaker 1: only not in the mutual fund world, she's in the 58 00:03:11,760 --> 00:03:13,560 Speaker 1: E t F world. That she's a woman, you know, 59 00:03:14,280 --> 00:03:17,840 Speaker 1: is very male dominated UM industry. UM. I think she's 60 00:03:18,120 --> 00:03:21,079 Speaker 1: That's that's just a fascinating phenomenon. Ben, Is there anyone 61 00:03:21,120 --> 00:03:23,120 Speaker 1: else in E T S? Is there any other a 62 00:03:23,280 --> 00:03:27,200 Speaker 1: t S manager that we all know. No, I don't 63 00:03:27,200 --> 00:03:32,280 Speaker 1: think so, otherwise Ben would have written a story on them. Um, yeah, Ben, 64 00:03:32,639 --> 00:03:37,080 Speaker 1: what is uh what is the thinking here? I mean, 65 00:03:37,360 --> 00:03:41,360 Speaker 1: what is Cathy Wood saying now about her her strategies here, 66 00:03:41,400 --> 00:03:43,920 Speaker 1: given that her performance has lagged over the last uh 67 00:03:43,960 --> 00:03:47,360 Speaker 1: you know quarter or so. What she says is you 68 00:03:47,480 --> 00:03:49,640 Speaker 1: gotta gotta keep the faith. That's what she says. And 69 00:03:49,760 --> 00:03:53,040 Speaker 1: she's a religious person and I really think that that 70 00:03:53,160 --> 00:03:57,440 Speaker 1: her views about technology and in religion and kind of 71 00:03:58,160 --> 00:03:59,760 Speaker 1: they kind of aligned a little bit. But but she 72 00:03:59,800 --> 00:04:04,720 Speaker 1: say to people is, um, we were like, the this 73 00:04:04,920 --> 00:04:07,640 Speaker 1: sell off and the innovative stocks just means that we 74 00:04:07,680 --> 00:04:09,880 Speaker 1: have we're going to make more money over the long term. 75 00:04:09,920 --> 00:04:12,760 Speaker 1: They think that that their portfolio can triple over the 76 00:04:12,800 --> 00:04:17,320 Speaker 1: next five years. They have these very bullish um estimates 77 00:04:17,360 --> 00:04:19,800 Speaker 1: for what's going to happen to say, electric vehicles or 78 00:04:19,880 --> 00:04:23,839 Speaker 1: DNA sequencing or artificial intelligence, and a lot of the 79 00:04:23,880 --> 00:04:26,240 Speaker 1: traditional analysts on the street are just like, think, these 80 00:04:26,240 --> 00:04:29,680 Speaker 1: these things are completely crazy and a little delusional. But um, 81 00:04:29,760 --> 00:04:32,360 Speaker 1: she has been proved and right, I mean in terms 82 00:04:32,400 --> 00:04:36,320 Speaker 1: of at least Bitcoin and Tesla when she made targets, 83 00:04:36,720 --> 00:04:39,320 Speaker 1: price targets for them a couple few years ago. Um, 84 00:04:39,839 --> 00:04:43,039 Speaker 1: they eventually were hit, um and what they were huge. 85 00:04:43,320 --> 00:04:45,120 Speaker 1: There was a huge amount of skepticism at the time. 86 00:04:45,160 --> 00:04:48,720 Speaker 1: But but you know, basically, for for her to be 87 00:04:48,720 --> 00:04:52,280 Speaker 1: proven right, technological change really has to accelerate coming out 88 00:04:52,320 --> 00:04:54,400 Speaker 1: of this pandemic and and you know it may but 89 00:04:55,040 --> 00:04:57,320 Speaker 1: we'll see if that actually makes our money. It's so 90 00:04:57,360 --> 00:05:00,400 Speaker 1: weird that that that um, you know, the read it 91 00:05:01,080 --> 00:05:05,920 Speaker 1: uh phenomenon has boosted her along with these really um, 92 00:05:05,960 --> 00:05:07,800 Speaker 1: I mean bitcoin is in some ways I read it 93 00:05:07,839 --> 00:05:10,400 Speaker 1: phenomenon as well. Now it's kind of moved to Twitter. 94 00:05:10,960 --> 00:05:16,200 Speaker 1: But um, she's got this millennial draw even though, as 95 00:05:16,240 --> 00:05:19,920 Speaker 1: you point out, her mentor is Art Laugher, who is 96 00:05:19,960 --> 00:05:22,839 Speaker 1: like a psion of the eighties. And right now as 97 00:05:22,880 --> 00:05:26,920 Speaker 1: we're going through this real shift from reagan Omics over 98 00:05:26,920 --> 00:05:30,720 Speaker 1: the last forty years too, now the era of six 99 00:05:30,760 --> 00:05:35,279 Speaker 1: trillion dollar big government budgets, um from President Biden. She 100 00:05:35,440 --> 00:05:40,360 Speaker 1: still she's she's now coming on and reigning Supreme Yeah, 101 00:05:40,400 --> 00:05:42,839 Speaker 1: she's a really contradiction. I mean, she's sixty five years old. 102 00:05:43,080 --> 00:05:45,960 Speaker 1: I guess she's capturing the attention of all these young 103 00:05:46,000 --> 00:05:50,400 Speaker 1: investors and she's politically conservative, but yet she's also huge 104 00:05:50,400 --> 00:05:53,240 Speaker 1: investor in green investments and she doesn't use the word 105 00:05:53,240 --> 00:05:56,120 Speaker 1: climate change a lot, but she's she's been a champion 106 00:05:56,160 --> 00:05:59,320 Speaker 1: of Tesla and other kind of and the investors are 107 00:05:59,360 --> 00:06:00,880 Speaker 1: sticking with our aren't they been? I mean there, I 108 00:06:00,920 --> 00:06:04,359 Speaker 1: mean there's just been some redemptions, but not that much. No, 109 00:06:05,160 --> 00:06:07,640 Speaker 1: like fairly a billion dollars has come out of the 110 00:06:07,640 --> 00:06:12,600 Speaker 1: funds um since February. And she's she's really people are 111 00:06:12,600 --> 00:06:15,240 Speaker 1: really sticking with her, and she does a good she 112 00:06:15,279 --> 00:06:17,719 Speaker 1: goes on she she really wouldn't have an in depth 113 00:06:17,760 --> 00:06:20,840 Speaker 1: interview with us for this long profile, but she's been 114 00:06:20,880 --> 00:06:23,800 Speaker 1: on the on the records so much, so many times 115 00:06:23,800 --> 00:06:26,440 Speaker 1: she comes on TV. She does conferences once a week 116 00:06:26,520 --> 00:06:32,120 Speaker 1: she's on Yeah, and and that really helped that communication strategy. 117 00:06:32,160 --> 00:06:33,880 Speaker 1: She really gets out there and tells a story to 118 00:06:34,000 --> 00:06:37,520 Speaker 1: people about about what they can get. They just a 119 00:06:37,600 --> 00:06:40,000 Speaker 1: patient and stick with her. I mean, in some ways, 120 00:06:40,000 --> 00:06:42,800 Speaker 1: she's really going to benefit from this new era of 121 00:06:42,800 --> 00:06:45,799 Speaker 1: big spending as well, right because um, as we build 122 00:06:45,800 --> 00:06:49,160 Speaker 1: out the infrastructure and invest in this in that country, 123 00:06:49,640 --> 00:06:53,080 Speaker 1: this country is well. Here in Germany, we're helping out 124 00:06:53,320 --> 00:06:58,320 Speaker 1: Tesla and you know the electronic vehicles. Yeah, her vision 125 00:06:58,360 --> 00:07:00,880 Speaker 1: for where the economy is headed is is pretty interesting. 126 00:07:00,880 --> 00:07:03,280 Speaker 1: I mean, do you think that inflation is not going 127 00:07:03,320 --> 00:07:06,160 Speaker 1: to be a problem because he's an innovation these because 128 00:07:06,240 --> 00:07:08,840 Speaker 1: these technologies really are guys. The cost of a lot 129 00:07:08,880 --> 00:07:11,320 Speaker 1: of these technologies is going to fall as they become 130 00:07:11,360 --> 00:07:14,080 Speaker 1: more popular. And all right, he's not worried about the 131 00:07:14,160 --> 00:07:18,360 Speaker 1: economy overheating at all. Ben, congratulations to you and Annie 132 00:07:18,400 --> 00:07:22,120 Speaker 1: and Claire on this Bloomberg Business We cover story as well. 133 00:07:22,160 --> 00:07:25,200 Speaker 1: It's an awesome cover. I recommend our listeners check it out. 134 00:07:25,240 --> 00:07:27,240 Speaker 1: If you have a Bloomberg terminal sitting in front of you, 135 00:07:27,280 --> 00:07:30,960 Speaker 1: just type NI big take go to see this story. 136 00:07:31,040 --> 00:07:34,000 Speaker 1: Cathy Wood's bad spring is a blip when the future 137 00:07:34,120 --> 00:07:41,720 Speaker 1: is so magnificent. This is Bloomberg. Well. One of the 138 00:07:41,840 --> 00:07:45,640 Speaker 1: areas of the economy that really got a boost during 139 00:07:45,800 --> 00:07:49,800 Speaker 1: the pandemic was sports betting online and gaming. People were 140 00:07:49,840 --> 00:07:52,040 Speaker 1: stuck at home, and the more and more states are 141 00:07:52,080 --> 00:07:55,680 Speaker 1: allowing sports betting off site, electronic sports betting, it's been 142 00:07:55,720 --> 00:07:58,560 Speaker 1: a big growth driver. Mike Tavarrella, he's Chamber of the 143 00:07:58,560 --> 00:08:01,320 Speaker 1: Board of LLIS Game Technolo logies. He joins us to 144 00:08:01,360 --> 00:08:05,200 Speaker 1: talk about this business pre pandemic, post pandemic. Mike, thanks 145 00:08:05,200 --> 00:08:06,720 Speaker 1: so much for joining us here. I love for you 146 00:08:06,800 --> 00:08:08,400 Speaker 1: to just talk to us a little bit, just give 147 00:08:08,480 --> 00:08:11,920 Speaker 1: us a brief description of what LS game Technology is. 148 00:08:11,920 --> 00:08:15,960 Speaker 1: What do you guys do? Sure? Well, great, good good morning, gentlemen. 149 00:08:16,120 --> 00:08:19,720 Speaker 1: Um So just l L Game Technology has been in 150 00:08:19,760 --> 00:08:23,080 Speaker 1: the leisure sports betting business for about twenty years, primarily 151 00:08:23,120 --> 00:08:26,000 Speaker 1: in the Italian market, which is a hugely competitive market 152 00:08:26,040 --> 00:08:29,840 Speaker 1: in Europe. In Italy were UH we're customer facing, would 153 00:08:29,880 --> 00:08:32,680 Speaker 1: beat the sea licenses, both online and land based. And 154 00:08:32,720 --> 00:08:35,280 Speaker 1: we own our own technology stack and that text stack 155 00:08:35,400 --> 00:08:38,640 Speaker 1: that we own we developed it only a few years ago, 156 00:08:38,679 --> 00:08:41,319 Speaker 1: so it's considered one of the newest betting platforms in 157 00:08:41,360 --> 00:08:43,800 Speaker 1: the world. And if I got put an analogy to 158 00:08:44,760 --> 00:08:47,680 Speaker 1: building buildings and real estate, it's kind of like a 159 00:08:47,720 --> 00:08:50,680 Speaker 1: design build where we, you know, took time to understand 160 00:08:50,720 --> 00:08:53,680 Speaker 1: the behavior of betters, what our clients were driving for. 161 00:08:54,200 --> 00:08:57,920 Speaker 1: And we uniquely designed this platform to specifically work in 162 00:08:58,000 --> 00:09:02,199 Speaker 1: the sports betting UH world, and that's our current business 163 00:09:02,240 --> 00:09:05,320 Speaker 1: and and in one we're looking at coming into the 164 00:09:05,400 --> 00:09:09,120 Speaker 1: US and capitalize them on the brilliant growth opportunity here, 165 00:09:09,240 --> 00:09:14,120 Speaker 1: since possible is repealing. So what how does this work? Then? 166 00:09:14,200 --> 00:09:16,800 Speaker 1: Can I bet on Buckeyes football? Do I bet on 167 00:09:17,120 --> 00:09:21,200 Speaker 1: um Paul Sweeney's knicks in the NBA? UM? Can I 168 00:09:21,240 --> 00:09:25,240 Speaker 1: bet on no hitters in in Major League Baseball? What? What? What? What? 169 00:09:25,320 --> 00:09:29,040 Speaker 1: Betting goes? Sure? So so I guess the first point 170 00:09:29,080 --> 00:09:32,680 Speaker 1: about that is that sport, any any h sports bet 171 00:09:32,720 --> 00:09:35,880 Speaker 1: that you are permitted to do in any regional jurisdiction, 172 00:09:35,920 --> 00:09:39,120 Speaker 1: if you will, is always dependent upon the regulation in 173 00:09:39,160 --> 00:09:42,199 Speaker 1: the area. So for example, in Italy, we're our our 174 00:09:42,240 --> 00:09:44,600 Speaker 1: clients are able to bet on just about anything under 175 00:09:44,640 --> 00:09:46,520 Speaker 1: the sun, as you would imagine, and we as an 176 00:09:46,559 --> 00:09:50,240 Speaker 1: operator get a full feed from our data providers and 177 00:09:50,280 --> 00:09:52,959 Speaker 1: we use a variety of them UH and and then 178 00:09:53,000 --> 00:09:56,679 Speaker 1: we distribute it. And of course the primary UH products 179 00:09:56,679 --> 00:09:59,600 Speaker 1: like say in Europe and saw in Italy it'll be 180 00:09:59,600 --> 00:10:04,240 Speaker 1: soccer right song in US like that will differ on 181 00:10:04,320 --> 00:10:07,800 Speaker 1: state to state basis. And obviously, but if you want 182 00:10:07,800 --> 00:10:11,439 Speaker 1: to bet on the Buckeyes, UH, certainly, if our feed 183 00:10:11,520 --> 00:10:14,880 Speaker 1: provides it, then we'll be able to allow you to 184 00:10:14,920 --> 00:10:17,000 Speaker 1: bet on it, depending on the area that you're in. 185 00:10:17,640 --> 00:10:21,240 Speaker 1: So it just seems Mike that sports betting. I live 186 00:10:21,240 --> 00:10:24,480 Speaker 1: in New Jersey where it's been legal for some time. Um, 187 00:10:24,520 --> 00:10:26,800 Speaker 1: it's just all over the place. It's all over sports 188 00:10:26,840 --> 00:10:29,560 Speaker 1: or radio. In terms of the ads for you know, 189 00:10:29,960 --> 00:10:32,480 Speaker 1: as this economy reopens, one of the key areas is 190 00:10:32,520 --> 00:10:36,680 Speaker 1: kind of restaurants and entertainment venues. Do you expect sports 191 00:10:36,679 --> 00:10:40,719 Speaker 1: betting to be integrated into that kind of experience? Well, 192 00:10:40,800 --> 00:10:42,559 Speaker 1: let me just say this way. UM. You know, the 193 00:10:43,040 --> 00:10:47,000 Speaker 1: European market is more or less a leading indicator. And 194 00:10:47,080 --> 00:10:50,520 Speaker 1: when you look at, um, at what where people are 195 00:10:50,559 --> 00:10:53,760 Speaker 1: able to uh to bet in those jurisdictions, Like they 196 00:10:53,800 --> 00:10:56,880 Speaker 1: can go to a local coffee shop or a sports 197 00:10:56,880 --> 00:11:00,480 Speaker 1: betting Uh, you know outfit so easy ag when you 198 00:11:00,480 --> 00:11:03,520 Speaker 1: walk into like an agency where you can bet on 199 00:11:03,520 --> 00:11:07,439 Speaker 1: on anything. Um. That model there has been active in 200 00:11:07,760 --> 00:11:10,240 Speaker 1: Europe for the better part of twenty years. And we 201 00:11:10,360 --> 00:11:13,400 Speaker 1: see that ultimately in the United States, after the repeal 202 00:11:13,440 --> 00:11:15,560 Speaker 1: have passed a couple of years ago, a lot of 203 00:11:15,600 --> 00:11:19,720 Speaker 1: the states sort of took out the opportunity and get started. Uh. 204 00:11:19,720 --> 00:11:23,240 Speaker 1: I see that they tethered certain licenses. The large casinos 205 00:11:23,280 --> 00:11:26,800 Speaker 1: are single operators. However, I think that that dynamic is 206 00:11:26,800 --> 00:11:30,679 Speaker 1: going to change over time simply because um, you know, 207 00:11:31,200 --> 00:11:35,960 Speaker 1: the sports betting is a is a product that needs 208 00:11:36,000 --> 00:11:39,600 Speaker 1: to be uh well actually should not be monopolized because 209 00:11:39,920 --> 00:11:43,080 Speaker 1: sports vetters need the variety, They need the variation at 210 00:11:43,120 --> 00:11:46,880 Speaker 1: odds because the ultimate outcome of the game, uh is 211 00:11:46,920 --> 00:11:50,600 Speaker 1: the same. They're regardless of what what who's playing and 212 00:11:50,920 --> 00:11:53,520 Speaker 1: who the who the athletes is like in a golf tournament, 213 00:11:53,720 --> 00:11:56,040 Speaker 1: so the outcome is the same. So sports vetters need 214 00:11:56,160 --> 00:11:58,920 Speaker 1: a variety of operators to be able to compete because 215 00:11:58,960 --> 00:12:02,040 Speaker 1: the secret sauce between operators is the odds, and you, 216 00:12:02,160 --> 00:12:05,560 Speaker 1: as a sports vettor are shopping odds. And if there's 217 00:12:05,559 --> 00:12:09,240 Speaker 1: a monopoly in the area, then obviously uh sports vettors 218 00:12:09,240 --> 00:12:11,800 Speaker 1: will go offshore and keep it in the dark. And 219 00:12:11,960 --> 00:12:16,120 Speaker 1: that's not the purpose of being regulated. So what what 220 00:12:16,240 --> 00:12:19,760 Speaker 1: our model does is it takes aim at the entrepreneurial 221 00:12:19,800 --> 00:12:22,760 Speaker 1: engine of economy in America and if you could think 222 00:12:22,800 --> 00:12:26,000 Speaker 1: about it the restaurant economy in places like New York 223 00:12:26,120 --> 00:12:29,360 Speaker 1: or Washington. You have millions of people that visit these 224 00:12:29,360 --> 00:12:32,040 Speaker 1: places throughout the year, like if there's a Super Bowl 225 00:12:32,520 --> 00:12:36,760 Speaker 1: or a NBA finals, santy cop and you know March madness. 226 00:12:36,880 --> 00:12:40,240 Speaker 1: You know, these establishments are flocked by LSU fantas during 227 00:12:40,360 --> 00:12:43,960 Speaker 1: championship games, so it really becomes a supercharge and social 228 00:12:44,040 --> 00:12:47,200 Speaker 1: environment where sports and sports betting is already consumed the most. 229 00:12:47,600 --> 00:12:51,000 Speaker 1: So our model even though we're able to do everything 230 00:12:51,040 --> 00:12:54,600 Speaker 1: that say, for example, New Jersey requires like requires from 231 00:12:54,600 --> 00:12:57,800 Speaker 1: a licensing perspective, be it online or land base. Our 232 00:12:58,280 --> 00:13:00,800 Speaker 1: technology because of the this a bit a model that 233 00:13:00,840 --> 00:13:03,400 Speaker 1: we use in the Italian market and all these small shops, 234 00:13:03,840 --> 00:13:06,360 Speaker 1: it is able to scale down as opposed to just 235 00:13:06,480 --> 00:13:08,840 Speaker 1: only scale up. It's able to scale right down to 236 00:13:09,400 --> 00:13:13,600 Speaker 1: the smallest denominator and we're able to service these restaurants 237 00:13:13,600 --> 00:13:16,200 Speaker 1: and bars and allow them the opportunity to do that. 238 00:13:16,280 --> 00:13:19,640 Speaker 1: But again it's always predicated on regulations. So in New Jersey, 239 00:13:19,720 --> 00:13:23,600 Speaker 1: for example, they would need to permit restaurants and bars 240 00:13:23,640 --> 00:13:26,840 Speaker 1: or small entities to be able to get a license 241 00:13:26,920 --> 00:13:31,120 Speaker 1: to process a sports bet as an axillary product to 242 00:13:31,160 --> 00:13:34,440 Speaker 1: their core business, and that really has to happen. We 243 00:13:34,600 --> 00:13:37,200 Speaker 1: hope to see that, we see that that trend is occurring, 244 00:13:37,280 --> 00:13:39,440 Speaker 1: and it started in d C and and that really 245 00:13:39,480 --> 00:13:41,440 Speaker 1: would be a cool trend. And I think that that's 246 00:13:41,600 --> 00:13:43,640 Speaker 1: uh that's gonna be a differentiator in the US as 247 00:13:43,679 --> 00:13:45,880 Speaker 1: we brought alright, Mike, Well, we hope to get you 248 00:13:45,920 --> 00:13:49,280 Speaker 1: back on as we learn more. As you know, this 249 00:13:49,360 --> 00:13:54,800 Speaker 1: progresses post um legislation, post regulation. Mike Chavarella is the 250 00:13:54,880 --> 00:13:58,199 Speaker 1: chairman of the board at l S Game Technology, talking 251 00:13:58,240 --> 00:14:02,400 Speaker 1: to us about sports betting and um how it could 252 00:14:02,480 --> 00:14:06,600 Speaker 1: look as the economy reopens and as these businesses start 253 00:14:06,679 --> 00:14:09,440 Speaker 1: to really get going. He's betting on l s U. 254 00:14:09,760 --> 00:14:15,520 Speaker 1: I'm betting on the buck Eyes. This is Bloomberg Now. 255 00:14:15,520 --> 00:14:18,120 Speaker 1: I want to bring in Kim Bussing. He is a 256 00:14:18,240 --> 00:14:21,160 Speaker 1: US luxury reporter for Bloomberg News. He's got a news 257 00:14:21,200 --> 00:14:24,080 Speaker 1: story on the terminal. Macy's needs another miracle on thirty 258 00:14:24,120 --> 00:14:27,440 Speaker 1: fourth Street to secure its future. But Kim, I gotta 259 00:14:27,520 --> 00:14:31,720 Speaker 1: start out with some props. Man. I first started following 260 00:14:31,720 --> 00:14:34,600 Speaker 1: you after I saw that two sixty million dollar park 261 00:14:34,680 --> 00:14:36,400 Speaker 1: that you posted about in New York, and then I 262 00:14:36,520 --> 00:14:38,520 Speaker 1: started reading through your stories, and I think you have 263 00:14:38,720 --> 00:14:43,720 Speaker 1: an incredible unique eye and picking out some trends in 264 00:14:44,240 --> 00:14:48,440 Speaker 1: some social trends that are really carrying through to the markets. 265 00:14:48,480 --> 00:14:52,160 Speaker 1: I read your story on Another Lane that the sneaker 266 00:14:52,600 --> 00:14:56,760 Speaker 1: seller that I thought was great, UM about the the 267 00:14:56,800 --> 00:14:59,800 Speaker 1: pot users that are spending eight hundred dollars on bong 268 00:15:00,000 --> 00:15:03,920 Speaker 1: say stigmas fade here in Canada's becomes more mainstream, and 269 00:15:03,960 --> 00:15:05,680 Speaker 1: I just think it's so cool that you're able to 270 00:15:05,720 --> 00:15:09,000 Speaker 1: piece these things together that are are kind of trendy 271 00:15:09,040 --> 00:15:13,760 Speaker 1: among a new generation UM that is now getting more 272 00:15:13,760 --> 00:15:16,800 Speaker 1: and more money to spend, but also tie in so 273 00:15:16,840 --> 00:15:20,600 Speaker 1: well to to markets and the growth areas that we're seeing. Well, 274 00:15:20,600 --> 00:15:23,360 Speaker 1: thank you. I really appreciate that. It's really important to 275 00:15:23,360 --> 00:15:27,080 Speaker 1: look at at cultural things and how they're influencing companies 276 00:15:27,120 --> 00:15:29,720 Speaker 1: and what they do and and the products they sell 277 00:15:29,760 --> 00:15:33,200 Speaker 1: it and what people buy. Alright, So Macy's, you talk 278 00:15:33,280 --> 00:15:36,680 Speaker 1: about a pillar of New York City and New York 279 00:15:36,680 --> 00:15:39,560 Speaker 1: City retail sits smack there that in the middle of 280 00:15:39,640 --> 00:15:43,320 Speaker 1: Manhattan at thirty fourth Street and sixth Avenue. But it's 281 00:15:43,360 --> 00:15:45,920 Speaker 1: a department store and that's a tough business. Talk to 282 00:15:46,000 --> 00:15:51,840 Speaker 1: us about how they're boring. Is looking to reinvigorate the company. Yeah, 283 00:15:51,880 --> 00:15:55,800 Speaker 1: Macy's wants to build a skyscraper on top of the 284 00:15:55,800 --> 00:15:59,120 Speaker 1: biggest department store in America. So this would be an 285 00:15:59,160 --> 00:16:03,160 Speaker 1: office tower, UM at somewhere around nine feet, which is 286 00:16:03,200 --> 00:16:06,360 Speaker 1: a bit shorter than the Empire State Building nearby, uh, 287 00:16:06,480 --> 00:16:08,800 Speaker 1: just a couple blocks away, and Macy's Herald Square. That 288 00:16:08,880 --> 00:16:12,520 Speaker 1: store is their flagship. It's their most important store in 289 00:16:12,560 --> 00:16:15,600 Speaker 1: the country. It's their most valuable real estate. Their headquarters 290 00:16:15,640 --> 00:16:19,440 Speaker 1: are there. UH, it's their most productive store. It's the 291 00:16:19,640 --> 00:16:24,880 Speaker 1: overwhelming center of gravity for this business. So it makes 292 00:16:24,880 --> 00:16:27,040 Speaker 1: sense that they would want to double down on that. 293 00:16:27,080 --> 00:16:29,400 Speaker 1: But of course there's questions here right whether it's something 294 00:16:29,400 --> 00:16:34,160 Speaker 1: like that would work, what's the business situation with Macy's, 295 00:16:34,200 --> 00:16:37,080 Speaker 1: because you know, I'd prefer to go to Bloomingdale's, which 296 00:16:37,120 --> 00:16:41,400 Speaker 1: is also there's up across street from our les headquarters. 297 00:16:41,440 --> 00:16:44,440 Speaker 1: I'd rather go to Birdworf Goodman UM to look around 298 00:16:44,680 --> 00:16:48,680 Speaker 1: stuff that I probably can't afford. Um. You know, there's 299 00:16:48,720 --> 00:16:53,280 Speaker 1: so many other choices UM in London, in New York, 300 00:16:54,160 --> 00:16:57,440 Speaker 1: around the world. Macy's just seems kind of like Sears 301 00:16:57,480 --> 00:16:59,640 Speaker 1: in terms of how exciting it is to walk through. 302 00:17:00,200 --> 00:17:04,520 Speaker 1: Macy's had just embarked on a their latest turnaround plan 303 00:17:04,680 --> 00:17:08,560 Speaker 1: in February twenties. Line that up with the pandemic, and 304 00:17:08,840 --> 00:17:10,880 Speaker 1: a whole lot of that was derailed and they went 305 00:17:10,880 --> 00:17:14,840 Speaker 1: into emergency mode, just like just like everyone else out there, um, 306 00:17:15,000 --> 00:17:18,440 Speaker 1: and they're there, everyone's still in it. So the department 307 00:17:18,440 --> 00:17:21,359 Speaker 1: stores have been on the decline for for so very long, 308 00:17:22,040 --> 00:17:23,840 Speaker 1: but that there have been glimmers of hope. You know. 309 00:17:23,960 --> 00:17:28,760 Speaker 1: Macy's has been closing stores to to have less square 310 00:17:28,800 --> 00:17:34,040 Speaker 1: footage out there, and while investing in digital commerce, e commerce, 311 00:17:34,080 --> 00:17:36,240 Speaker 1: online sales and all of that, and so they've been 312 00:17:36,280 --> 00:17:40,280 Speaker 1: making those steps, but it's still just seems like an 313 00:17:40,280 --> 00:17:42,879 Speaker 1: eternal struggle for for department stores. Can they get New 314 00:17:42,960 --> 00:17:47,080 Speaker 1: York City approval to build a skyscraper on top of Macy's. Yeah, 315 00:17:47,240 --> 00:17:49,919 Speaker 1: so where that that's at right now? Is the latest 316 00:17:49,960 --> 00:17:53,000 Speaker 1: thing they've done is submit a proposal to invest two 317 00:17:53,480 --> 00:17:57,040 Speaker 1: thirty five million dollars in the area surrounding the Macy's 318 00:17:57,080 --> 00:17:59,160 Speaker 1: store that's Harold Square itself. That means pumping money into 319 00:17:59,160 --> 00:18:02,240 Speaker 1: the neighborhood and order to secure those rights to build 320 00:18:02,560 --> 00:18:06,600 Speaker 1: the skyscraper. Um. These plans will turn that plaza, the 321 00:18:06,600 --> 00:18:11,879 Speaker 1: Herald Square Plaza, into a more pedestrian friendly area with 322 00:18:11,960 --> 00:18:14,720 Speaker 1: a bunch of new transit entrances because it's on top 323 00:18:14,760 --> 00:18:19,000 Speaker 1: of a subway station that nobody likes. I use every day, 324 00:18:19,000 --> 00:18:22,600 Speaker 1: by the way, every single day, and that proposals now 325 00:18:22,680 --> 00:18:25,280 Speaker 1: public and will will be set to go through the 326 00:18:25,280 --> 00:18:30,160 Speaker 1: city's review procedure that involves the community Board, local leaders, 327 00:18:30,200 --> 00:18:33,120 Speaker 1: city council and everything. Alright, just real quick, Kim, any 328 00:18:33,160 --> 00:18:34,879 Speaker 1: sense of timing and whether we're gonna get some clarity 329 00:18:34,920 --> 00:18:38,280 Speaker 1: here whether they can do this. Uh, We're just gonna 330 00:18:38,280 --> 00:18:40,679 Speaker 1: have to see what they think about about these plans. Uh, 331 00:18:40,840 --> 00:18:43,680 Speaker 1: something like this will take many years anyway, and they're 332 00:18:43,680 --> 00:18:46,880 Speaker 1: currently in preliminary talks with developers to try to find 333 00:18:46,880 --> 00:18:48,800 Speaker 1: some some partners for it. All right, that's an aggressive 334 00:18:48,840 --> 00:18:51,960 Speaker 1: move by Macy's to try to add some value to 335 00:18:52,160 --> 00:18:54,520 Speaker 1: a company that's really in a challenging space up in 336 00:18:54,560 --> 00:18:57,720 Speaker 1: the department store of business, Kim, to see maybe it 337 00:18:57,760 --> 00:18:59,800 Speaker 1: plays in though, you know, to the way the city 338 00:18:59,880 --> 00:19:02,480 Speaker 1: is gonna change post pandemic. It's gonna be really interesting. 339 00:19:02,520 --> 00:19:05,399 Speaker 1: And Kempstone some reporting on like the new look of 340 00:19:05,440 --> 00:19:09,399 Speaker 1: New York and with the impetus of massive spending that 341 00:19:09,400 --> 00:19:11,280 Speaker 1: we're gonna get across the country, maybe we do see 342 00:19:11,280 --> 00:19:13,639 Speaker 1: a change. Yeah, maybe it's it's really interesting, but it 343 00:19:13,640 --> 00:19:16,080 Speaker 1: would be great for that area as I walk past 344 00:19:16,080 --> 00:19:18,840 Speaker 1: it every day, can passing us luxury reporter for Bloomberg News. 345 00:19:18,920 --> 00:19:21,679 Speaker 1: He joins us here in the Bloomberg Interactive Broker studio. 346 00:19:21,640 --> 00:19:26,560 Speaker 1: Is so good to have folks coming in live. I 347 00:19:26,600 --> 00:19:28,439 Speaker 1: want to bring in Dave King right now. He's senior 348 00:19:28,480 --> 00:19:32,640 Speaker 1: portfolio manager and head of Income and Growth Strategies over 349 00:19:32,680 --> 00:19:36,760 Speaker 1: at Columbia thread Needle Investments. They have five hundred sixty 350 00:19:36,800 --> 00:19:41,360 Speaker 1: four billion dollars in assets under management. Dave um, we're 351 00:19:41,400 --> 00:19:46,440 Speaker 1: seeing today more growth for I noticed this morning cyclicals 352 00:19:46,440 --> 00:19:50,120 Speaker 1: again are rising Ford and General Motors. We got games 353 00:19:50,119 --> 00:19:53,600 Speaker 1: in General Electric and Boeing, and there's some clear catalyst 354 00:19:53,680 --> 00:19:56,960 Speaker 1: there um as our stocks. Thattor told us earlier with 355 00:19:57,200 --> 00:20:02,560 Speaker 1: you know, airbuses announcement yesterday and GM's plant openings forwards investments. 356 00:20:02,560 --> 00:20:08,000 Speaker 1: But it seems like this whole reopening m reflation respending 357 00:20:08,040 --> 00:20:11,600 Speaker 1: trade is really getting back on track. Is it something 358 00:20:11,640 --> 00:20:15,879 Speaker 1: you're betting on as well? Well? I think that that's true. 359 00:20:16,000 --> 00:20:18,600 Speaker 1: But I also think the reason to bet on it 360 00:20:18,680 --> 00:20:25,400 Speaker 1: is last year's market favored quality bonds and disruptive growth stocks. 361 00:20:25,440 --> 00:20:29,280 Speaker 1: So not only are you benefiting from the strength in 362 00:20:29,359 --> 00:20:33,359 Speaker 1: the economy, which at some point was predictable, but also 363 00:20:33,520 --> 00:20:37,760 Speaker 1: good starting valuations on the kind of companies that you're 364 00:20:38,080 --> 00:20:42,399 Speaker 1: you're referencing um Ford Motors having a great day, but 365 00:20:42,520 --> 00:20:45,280 Speaker 1: the stock price is lower than when I joined Columbio 366 00:20:45,359 --> 00:20:48,800 Speaker 1: eleven years ago for Examp. So you're you're, you're really 367 00:20:49,600 --> 00:20:54,560 Speaker 1: have that combination and um, as I've said too many 368 00:20:54,600 --> 00:20:57,760 Speaker 1: people for several months now, I think the play is 369 00:20:58,400 --> 00:21:01,120 Speaker 1: the dogs of the Dadao or revenge of the nerds, 370 00:21:01,359 --> 00:21:03,840 Speaker 1: you know, by the by the big companies that people 371 00:21:03,880 --> 00:21:07,680 Speaker 1: thought were boring. And as the economy recovers and perhaps 372 00:21:07,720 --> 00:21:12,040 Speaker 1: you see some price inflation, make money. All right, give 373 00:21:12,119 --> 00:21:15,959 Speaker 1: us some name some of those dogs, would you. Well, 374 00:21:16,359 --> 00:21:18,880 Speaker 1: the dogs of the Tao for people that don't know 375 00:21:19,600 --> 00:21:23,159 Speaker 1: the procedure, are simply the ten highest yielding stocks in 376 00:21:23,200 --> 00:21:28,280 Speaker 1: the Dow, and at the moment that's Chevron, IBM, Verizon, 377 00:21:28,720 --> 00:21:34,560 Speaker 1: Dow Chemical, no relation, um Walgreens, Merk, Coca Cola, am 378 00:21:34,680 --> 00:21:39,280 Speaker 1: Gen three M, and Ciscose do no. I know. I 379 00:21:39,480 --> 00:21:42,280 Speaker 1: try try getting through a day without using the products 380 00:21:42,320 --> 00:21:46,719 Speaker 1: and services with those companies, and you know, imagine that 381 00:21:46,760 --> 00:21:49,600 Speaker 1: those stocks were woefully out of favor last year, and 382 00:21:49,640 --> 00:21:52,960 Speaker 1: I think you get the investment opportunity. It's it's not 383 00:21:53,040 --> 00:21:55,439 Speaker 1: something you need a master's degree to figure out. But 384 00:21:55,480 --> 00:21:58,280 Speaker 1: it's not on Reddit, and it's not you know, um, 385 00:21:58,400 --> 00:22:02,280 Speaker 1: Cathy Wood isn't investing in these companies. Well, you know, 386 00:22:02,320 --> 00:22:04,919 Speaker 1: I don't know the second point for a fact. The 387 00:22:04,960 --> 00:22:08,080 Speaker 1: first point, I'm sure you're right. Um, it's it's really 388 00:22:08,119 --> 00:22:11,240 Speaker 1: old fashioned. You know, I'm just sitting here staring at 389 00:22:11,240 --> 00:22:14,160 Speaker 1: one monitor with my sleeves rolled up and buying stocks 390 00:22:14,200 --> 00:22:19,200 Speaker 1: like this. And I'm clearly not in vogue. But we're 391 00:22:19,280 --> 00:22:22,800 Speaker 1: up between fifteen and and Dividend Opportunity Fund this year, 392 00:22:22,880 --> 00:22:26,280 Speaker 1: so it's it's not crazy. There's something going on here, David. 393 00:22:26,320 --> 00:22:29,760 Speaker 1: You know, I think investors, certainly since the financial crisis, 394 00:22:29,800 --> 00:22:32,480 Speaker 1: they've been pretty comfortable with some of the big tech, 395 00:22:32,760 --> 00:22:35,440 Speaker 1: big cap tech names, you know, an Apple or Amazon. 396 00:22:35,480 --> 00:22:37,160 Speaker 1: I can buy those things, put them in my four 397 00:22:37,200 --> 00:22:39,359 Speaker 1: one K and really not have to think about them 398 00:22:39,400 --> 00:22:42,480 Speaker 1: for a long time. Now. This rotation play has been 399 00:22:42,480 --> 00:22:46,760 Speaker 1: working so well for you know, value investors and in 400 00:22:47,320 --> 00:22:50,119 Speaker 1: and even small cap investors. Give us a sense of 401 00:22:50,160 --> 00:22:51,920 Speaker 1: how long you think this thing can work? Is this 402 00:22:52,040 --> 00:22:53,440 Speaker 1: something I can just put away? It will be a 403 00:22:53,520 --> 00:22:58,919 Speaker 1: multi year trade. Well, there there's variants in in the 404 00:22:59,040 --> 00:23:02,720 Speaker 1: value sector with that, and it's a great question. Um. 405 00:23:02,760 --> 00:23:06,480 Speaker 1: You know, among the dogs that I've mentioned here, I 406 00:23:06,520 --> 00:23:09,159 Speaker 1: have a feeling that that would be fine to do 407 00:23:09,280 --> 00:23:13,439 Speaker 1: with Merk. I already mentioned an auto company that was 408 00:23:13,520 --> 00:23:17,000 Speaker 1: highly cyclical, So I don't know that you would necessarily 409 00:23:17,040 --> 00:23:19,439 Speaker 1: take that approach with every one of these stocks. But 410 00:23:20,320 --> 00:23:25,240 Speaker 1: you know that being said, the investments that Berkshire Hathaway 411 00:23:25,280 --> 00:23:28,760 Speaker 1: made last year and they have special dispensation to not 412 00:23:28,840 --> 00:23:33,680 Speaker 1: reveal them for six months. We're in Chevron and Um 413 00:23:34,680 --> 00:23:39,240 Speaker 1: as well in Verizon, two of these dogs, and UM, 414 00:23:39,280 --> 00:23:41,800 Speaker 1: I think people were like sort of shrugging their shoulders 415 00:23:41,800 --> 00:23:43,520 Speaker 1: when they heard that, and then all of a sudden, 416 00:23:43,560 --> 00:23:48,280 Speaker 1: oil prices went back to normal levels, and Buffett's probably 417 00:23:48,320 --> 00:23:51,960 Speaker 1: up thirty percent in the Chevron already. Verizon hasn't done 418 00:23:52,040 --> 00:23:55,200 Speaker 1: much yet, but you know, he's got time. We've got time. 419 00:23:55,280 --> 00:23:58,679 Speaker 1: So UM. There is, in other words, a need to 420 00:23:58,800 --> 00:24:01,040 Speaker 1: sell some of these stuff box at some point. But 421 00:24:01,840 --> 00:24:06,240 Speaker 1: given people's predilection to trading so rapidly these days, I'm 422 00:24:06,280 --> 00:24:08,399 Speaker 1: talking about, you know, take a look at it in 423 00:24:08,440 --> 00:24:10,760 Speaker 1: a year or two, and if it's doubled or tripled 424 00:24:10,800 --> 00:24:13,160 Speaker 1: and doesn't have a good yield and isn't a dog 425 00:24:13,200 --> 00:24:15,679 Speaker 1: of the doo, maybe you should, you know, take a 426 00:24:15,720 --> 00:24:19,280 Speaker 1: big profit then. I mean, I absolutely love that UM 427 00:24:19,320 --> 00:24:21,320 Speaker 1: the idea, and obviously you've made a ton of money 428 00:24:21,320 --> 00:24:24,040 Speaker 1: on it. What are your biggest worries though, What are 429 00:24:24,040 --> 00:24:27,320 Speaker 1: the headwinds that you watch out for. Well, I do 430 00:24:27,440 --> 00:24:31,720 Speaker 1: think there's a huge question whether the inflation we're seeing 431 00:24:31,760 --> 00:24:36,560 Speaker 1: today is temporary dislocation coming out of one of the 432 00:24:36,680 --> 00:24:42,280 Speaker 1: strangest recessions ever UM, or whether it's going to prevail 433 00:24:42,920 --> 00:24:46,199 Speaker 1: to that. I'd say if we have prevalent inflation for 434 00:24:46,240 --> 00:24:49,600 Speaker 1: a while, it'll be bad for all financial assets, but 435 00:24:50,240 --> 00:24:53,960 Speaker 1: for income seekers. Twenty of the thirty stocks in the 436 00:24:54,040 --> 00:24:57,520 Speaker 1: TAO yield more than the tenure treasury, and if we 437 00:24:57,560 --> 00:25:00,560 Speaker 1: have inflation, you won't get more coupon from the government, 438 00:25:00,680 --> 00:25:03,520 Speaker 1: and you'll only get a hundred dollars back, whereas the 439 00:25:03,600 --> 00:25:07,359 Speaker 1: nominal dividend in most of those twenty companies will grow 440 00:25:07,680 --> 00:25:11,240 Speaker 1: over time. So I really still see it as a 441 00:25:11,320 --> 00:25:15,800 Speaker 1: clear alternative for an income oriented investor. They were gonna 442 00:25:15,760 --> 00:25:17,560 Speaker 1: have to leave it there just because of time, but 443 00:25:17,560 --> 00:25:20,080 Speaker 1: we really appreciate your time. Dave King, Senior portfolio manager 444 00:25:20,119 --> 00:25:22,360 Speaker 1: and Head of Income and Growth Strategies at Columbia thread 445 00:25:22,359 --> 00:25:25,720 Speaker 1: Needle Investments. Thanks for listening to the Bloomberg Markets podcast. 446 00:25:26,080 --> 00:25:29,320 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 447 00:25:29,440 --> 00:25:33,360 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 448 00:25:33,359 --> 00:25:37,560 Speaker 1: on Twitter at Matt Miller three. Pet Ball Sweeney I'm 449 00:25:37,600 --> 00:25:40,240 Speaker 1: on Twitter at pt Sweeney. Before the podcast, you can 450 00:25:40,240 --> 00:25:42,480 Speaker 1: always catch us worldwide at Bloomberg Radio