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 00:00:11,520 --> 00:00:15,600 Speaker 1: with essential market moving news. Find the Bloomberg Markets Podcast 5 00:00:15,600 --> 00:00:18,439 Speaker 1: on Apple Podcasts or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:23,520 Speaker 1: at Bloomberg dot com Slash podcast. Let's talk retail because 7 00:00:23,560 --> 00:00:25,479 Speaker 1: we had Bed Bathroom Beyond, which by the way, is 8 00:00:25,480 --> 00:00:29,120 Speaker 1: based in Union, New Jersey. In my backyard, we've got 9 00:00:29,200 --> 00:00:33,760 Speaker 1: Amazon laneoff people. So jobs right, yeah, I mean we 10 00:00:34,000 --> 00:00:37,640 Speaker 1: don't know. That's right, that's eight jobs. So let's roundtable 11 00:00:37,680 --> 00:00:40,000 Speaker 1: a little bit here on the retail space. We can 12 00:00:40,000 --> 00:00:42,240 Speaker 1: do that with Punum Boyle. She covers all the retail stuff. 13 00:00:42,800 --> 00:00:46,320 Speaker 1: Don't forget intelligence. Yeah, we'll talk about that. John Edwards, 14 00:00:46,400 --> 00:00:51,040 Speaker 1: the third team leader, covers the US consumer retail luxury space. Um, John, 15 00:00:51,080 --> 00:00:52,720 Speaker 1: thanks so much for coming here in our Bloomberg and 16 00:00:52,800 --> 00:00:54,840 Speaker 1: Actor Broker studio. You get a gold Star and my 17 00:00:54,920 --> 00:00:58,360 Speaker 1: friend Um talk to us about Bed Bathroom Beyond. This 18 00:00:58,400 --> 00:01:01,200 Speaker 1: is just there's They have news today about a going 19 00:01:01,240 --> 00:01:05,319 Speaker 1: concern issue. Um. Is this this poor management or is 20 00:01:05,319 --> 00:01:08,559 Speaker 1: this some symptom of just greater retail. Do you think, Yeah, 21 00:01:08,600 --> 00:01:12,760 Speaker 1: it's it's a combination of things. I mean, it's it's definitely. Um, 22 00:01:12,800 --> 00:01:15,399 Speaker 1: you know, they're they're affected by the things that are 23 00:01:15,640 --> 00:01:22,880 Speaker 1: affecting retail broadly, but they do have some company specific 24 00:01:22,959 --> 00:01:26,080 Speaker 1: problems that have been plaguing them for years and if 25 00:01:26,080 --> 00:01:29,240 Speaker 1: not really gotten any better. Uh. You know. One of 26 00:01:29,319 --> 00:01:32,200 Speaker 1: one of the main issues they had was that they 27 00:01:32,240 --> 00:01:36,440 Speaker 1: made this big push toward private label goods, you know, 28 00:01:36,520 --> 00:01:40,399 Speaker 1: which in theory, uh, you know, is a positive for 29 00:01:40,760 --> 00:01:44,200 Speaker 1: a retailer if they can get people buying you know, 30 00:01:44,240 --> 00:01:49,080 Speaker 1: private label products that they create themselves, that obviously boost 31 00:01:49,080 --> 00:01:53,080 Speaker 1: their margins by you know, um, reducing the things that 32 00:01:53,120 --> 00:01:55,600 Speaker 1: they have to buy from others. Are they quality? They 33 00:01:55,720 --> 00:01:59,880 Speaker 1: Kirkland well products? That's that is that's the issue. They 34 00:02:00,000 --> 00:02:04,440 Speaker 1: are not Kirkland levels. Uh. No, they they had just 35 00:02:04,520 --> 00:02:09,320 Speaker 1: a variety of problems with with introducing these products under 36 00:02:09,520 --> 00:02:13,520 Speaker 1: a you know, now three CEOs ago. Uh. They brought 37 00:02:13,560 --> 00:02:18,799 Speaker 1: in uh, guy Mark Tritton from from Target with who 38 00:02:18,960 --> 00:02:23,640 Speaker 1: had you know, extensive experience, successful experience there with private label, 39 00:02:24,080 --> 00:02:28,000 Speaker 1: but you know, he had execution problems at bed Bath 40 00:02:28,000 --> 00:02:30,600 Speaker 1: and Beyond as well. You know, he in some ways 41 00:02:30,880 --> 00:02:34,080 Speaker 1: tried to apply too much of the sort of identical 42 00:02:34,560 --> 00:02:38,560 Speaker 1: target playbook to uh, you know, to bed Bath, which 43 00:02:38,600 --> 00:02:42,400 Speaker 1: didn't have the internal infrastructure to support a lot of 44 00:02:42,480 --> 00:02:46,440 Speaker 1: his his goals. So so, Pum, I want to bring 45 00:02:46,480 --> 00:02:48,320 Speaker 1: you in here, you know, as we're talking about bed 46 00:02:48,320 --> 00:02:50,200 Speaker 1: Beth and beyond, I love to just pull it back 47 00:02:50,280 --> 00:02:52,080 Speaker 1: the lens a little bit and just talk about retail 48 00:02:52,080 --> 00:02:54,880 Speaker 1: in general. Give us your sense of just the consumers 49 00:02:54,880 --> 00:02:58,880 Speaker 1: seem strong. We got some good jobs data again today. Um, 50 00:02:58,960 --> 00:03:01,880 Speaker 1: it seemed like the hollid season was pretty good. I'd 51 00:03:01,880 --> 00:03:03,919 Speaker 1: love to get your assess. And because you see so 52 00:03:03,960 --> 00:03:06,880 Speaker 1: many retail companies to talk to so many of those investors, 53 00:03:07,000 --> 00:03:09,600 Speaker 1: what are you hearing about the environment out there? Yeah, 54 00:03:09,680 --> 00:03:12,040 Speaker 1: so the environment is still mixed. Really if you think 55 00:03:12,040 --> 00:03:14,000 Speaker 1: about what we saw were the holiday we did have 56 00:03:14,000 --> 00:03:16,200 Speaker 1: a good holiday season. Adobe just came out with their 57 00:03:16,200 --> 00:03:19,000 Speaker 1: e commerce UM numbers that holiday sales were up three 58 00:03:19,000 --> 00:03:21,960 Speaker 1: point five percent and that's better than they had estimated. 59 00:03:22,280 --> 00:03:24,400 Speaker 1: So overall good. But you know, I think when we 60 00:03:24,440 --> 00:03:26,799 Speaker 1: start to see earnings later this month and into February, 61 00:03:27,000 --> 00:03:29,120 Speaker 1: there will be mixed treats. Because remember there was a 62 00:03:29,160 --> 00:03:32,000 Speaker 1: snowstorm right in the Northeast right ahead of the Christmas season, 63 00:03:32,400 --> 00:03:36,000 Speaker 1: which probably truncated a lot of the sales that would 64 00:03:36,040 --> 00:03:38,960 Speaker 1: have been there and may have really prompted more gift 65 00:03:39,000 --> 00:03:41,200 Speaker 1: card sales well, because people couldn't get out and get 66 00:03:41,200 --> 00:03:43,240 Speaker 1: to the stores. They couldn't get out and whatever was 67 00:03:43,320 --> 00:03:45,800 Speaker 1: coming from online probably couldn't make it there because of 68 00:03:45,800 --> 00:03:48,160 Speaker 1: the snow storm. So really a double whammy there where 69 00:03:48,160 --> 00:03:50,400 Speaker 1: you couldn't shop online and you couldn't shop in stores. 70 00:03:51,120 --> 00:03:53,920 Speaker 1: Outside of that, the consumer, yeah, they're they're holding up, 71 00:03:53,920 --> 00:03:56,600 Speaker 1: but they're spending where they want to spend. So really 72 00:03:56,640 --> 00:03:59,200 Speaker 1: you have to be the brand that they're seeking for 73 00:03:59,320 --> 00:04:01,680 Speaker 1: you to get the bus this and do well. And 74 00:04:01,680 --> 00:04:03,440 Speaker 1: and there are brands out there that are that are 75 00:04:03,480 --> 00:04:05,080 Speaker 1: doing well. You know, we think at Sea is one 76 00:04:05,120 --> 00:04:08,120 Speaker 1: of them on the online space that continues to drive 77 00:04:08,160 --> 00:04:10,760 Speaker 1: shoppers to its website because it's unique in what it 78 00:04:10,840 --> 00:04:13,119 Speaker 1: offers and there's really no one else like them. Yeah, 79 00:04:13,120 --> 00:04:15,960 Speaker 1: it's you know, this is interesting. I've been looking lately. 80 00:04:16,000 --> 00:04:18,800 Speaker 1: I've been trying to focus on buying products that are 81 00:04:18,839 --> 00:04:23,039 Speaker 1: made in America or you know, made in Europe, like 82 00:04:23,080 --> 00:04:27,360 Speaker 1: a leather jacket. Well, for example, those are handmade in Scotland. 83 00:04:27,400 --> 00:04:32,480 Speaker 1: But if you look on Amazon, I've noticed nearly everything 84 00:04:32,560 --> 00:04:34,960 Speaker 1: on Amazon is made in China. I don't know why 85 00:04:35,200 --> 00:04:37,120 Speaker 1: I don't just drop the middleman and go straight to 86 00:04:37,160 --> 00:04:42,240 Speaker 1: Ali Baba because Jeff bezos factory is in China. Um. 87 00:04:42,360 --> 00:04:46,240 Speaker 1: Then I discovered Etsy, where you can find things that 88 00:04:46,320 --> 00:04:49,600 Speaker 1: are made by people who get a working wage or 89 00:04:49,680 --> 00:04:52,239 Speaker 1: at least run their own businesses, which made me happy. 90 00:04:52,320 --> 00:04:55,560 Speaker 1: But the user experience isn't quite nearly as good. Um 91 00:04:56,680 --> 00:05:01,159 Speaker 1: is there is there any uh sense that deglobalization is 92 00:05:01,200 --> 00:05:04,640 Speaker 1: coming to Amazon? Are they? Are they at all affected 93 00:05:04,720 --> 00:05:09,360 Speaker 1: by the US China the poor trade relationship? I mean, 94 00:05:09,480 --> 00:05:12,159 Speaker 1: I think all of retails is affected by that. It's 95 00:05:12,240 --> 00:05:15,240 Speaker 1: not just Amazon, right, we import. Most of what we 96 00:05:15,279 --> 00:05:19,600 Speaker 1: consume is imported, and China is a big area where 97 00:05:19,640 --> 00:05:23,080 Speaker 1: we are dependent on So that doesn't just impact Amazon 98 00:05:23,080 --> 00:05:25,600 Speaker 1: and impact all of retail. Really, I don't mind importing 99 00:05:25,640 --> 00:05:30,240 Speaker 1: stuff if if I'm importing it from h a producer 100 00:05:30,400 --> 00:05:34,039 Speaker 1: that pays a decent wage, maybe uses union labor, you 101 00:05:34,080 --> 00:05:37,719 Speaker 1: know where I'm not worried about sweatshops or kids making 102 00:05:37,720 --> 00:05:41,160 Speaker 1: this stuff. Hey, John, I know in your beat you 103 00:05:41,279 --> 00:05:48,160 Speaker 1: cover luxury I can't. I'm so surprised how luxury remains 104 00:05:48,400 --> 00:05:51,880 Speaker 1: so strong cycle in, cycle out. What are we hearing 105 00:05:51,920 --> 00:05:55,599 Speaker 1: from the luxury brands these days? Uh? Yeah, they continue 106 00:05:55,640 --> 00:05:58,640 Speaker 1: to hold up. I mean, I think what we're starting 107 00:05:58,680 --> 00:06:02,119 Speaker 1: to see is, you know, some of the entry level 108 00:06:02,520 --> 00:06:05,480 Speaker 1: luxury goods, you know, some of your sort of accessories, 109 00:06:05,480 --> 00:06:09,960 Speaker 1: your belts, your uh Gucci shower shoes, your things, all that, 110 00:06:10,600 --> 00:06:14,080 Speaker 1: are you know, starting to weaken a bit, because you know, 111 00:06:14,120 --> 00:06:17,520 Speaker 1: those are the luxury customers who are most exposed to 112 00:06:18,080 --> 00:06:21,680 Speaker 1: uh you know, feeling the pinch of inflation. But you know, 113 00:06:22,240 --> 00:06:25,400 Speaker 1: the rich are still rich and uh you know, still 114 00:06:25,400 --> 00:06:27,520 Speaker 1: want what they want. You know. A Astin was saying, 115 00:06:27,560 --> 00:06:29,360 Speaker 1: they're not going to bed bath and beyond, though, John, 116 00:06:29,440 --> 00:06:32,680 Speaker 1: they cover both luxury and bed bath and beyond. We 117 00:06:32,760 --> 00:06:36,520 Speaker 1: cover it all. I was thinking about in in the 118 00:06:36,560 --> 00:06:40,159 Speaker 1: bigger picture of the whole Wall Street bets phenomenon, the 119 00:06:40,160 --> 00:06:42,800 Speaker 1: meme stock thing that we covered a couple of years ago. 120 00:06:43,480 --> 00:06:46,520 Speaker 1: Are there companies out there that should have gone bust 121 00:06:46,720 --> 00:06:51,159 Speaker 1: but didn't because of buyers of stocks with their with 122 00:06:51,200 --> 00:06:53,960 Speaker 1: their stinnies. I mean, I you know, I certainly can't 123 00:06:53,960 --> 00:06:56,480 Speaker 1: call out any boy name, but yeah, you could probably 124 00:06:56,480 --> 00:07:00,360 Speaker 1: say that there are some companies who's uh, poor Wormans 125 00:07:00,440 --> 00:07:03,160 Speaker 1: was papered over for a while by the fact that, yeah, 126 00:07:03,600 --> 00:07:06,479 Speaker 1: they got, you know, caught in the meme wave the 127 00:07:06,560 --> 00:07:08,919 Speaker 1: road that as long as they could. It's funny. The 128 00:07:08,960 --> 00:07:12,040 Speaker 1: bed bath and beyond near me is right next to 129 00:07:12,080 --> 00:07:14,720 Speaker 1: the game stop in this little strip mall that you 130 00:07:14,760 --> 00:07:16,680 Speaker 1: want to kind of avoid it all calls right, you 131 00:07:16,720 --> 00:07:20,520 Speaker 1: know exactly, there's a harsh fluorescent lighting everywhere if they 132 00:07:20,640 --> 00:07:24,080 Speaker 1: leave the lights on at all. And alright, some news 133 00:07:24,160 --> 00:07:25,680 Speaker 1: just crossing the Bloomberg terminal. I want to get it 134 00:07:25,680 --> 00:07:29,640 Speaker 1: out there. Putin orders. January six, seventh, ceasefire in Ukraine. 135 00:07:29,840 --> 00:07:32,120 Speaker 1: The Kremlin says, well more reporting on that, but that's 136 00:07:32,360 --> 00:07:35,160 Speaker 1: gets your attention there. Put um um In terms of 137 00:07:35,160 --> 00:07:37,160 Speaker 1: the retail space here is now that we're kind of 138 00:07:37,200 --> 00:07:39,880 Speaker 1: through the holiday season, give us a sense of kind 139 00:07:39,880 --> 00:07:42,040 Speaker 1: of how the inventory levels are. I know that was 140 00:07:42,080 --> 00:07:44,840 Speaker 1: an issue for a lot of retailers, leading them to 141 00:07:44,880 --> 00:07:47,040 Speaker 1: maybe really be aggressive on some of the promotions. Here, 142 00:07:47,040 --> 00:07:50,240 Speaker 1: how are inventories looking. Inventories are still a little bloated. 143 00:07:50,280 --> 00:07:53,840 Speaker 1: While sales were good, they entered inventories really high. So 144 00:07:53,920 --> 00:07:56,240 Speaker 1: we think January will be the key month for them 145 00:07:56,280 --> 00:07:59,360 Speaker 1: to really press on promotions and clear out all that 146 00:07:59,400 --> 00:08:01,920 Speaker 1: inventory to make room for a spring goods. But this 147 00:08:02,000 --> 00:08:03,920 Speaker 1: is the This is a clearance month for retail, and 148 00:08:03,960 --> 00:08:07,200 Speaker 1: we expect retailers to push as much inventory as they 149 00:08:07,240 --> 00:08:09,680 Speaker 1: can out of their system this month. Is it going 150 00:08:09,720 --> 00:08:12,840 Speaker 1: to be harder for our is someone like Target who 151 00:08:12,880 --> 00:08:15,240 Speaker 1: had a difficult time managing inventory, You're gonna be doing 152 00:08:15,240 --> 00:08:18,720 Speaker 1: more discounting. There will be more discounting across retail right now, 153 00:08:18,760 --> 00:08:20,560 Speaker 1: just because the inventories have to get out. And even 154 00:08:20,600 --> 00:08:23,320 Speaker 1: if you are Lena on inventory, if your neighbor is 155 00:08:23,360 --> 00:08:26,480 Speaker 1: discounting aggressively, in order for you to get wallet chair, 156 00:08:26,560 --> 00:08:29,480 Speaker 1: you also need to increase your promotional activity. That's just 157 00:08:29,600 --> 00:08:33,520 Speaker 1: how retail works. Hey, John. Lastly, are there still too 158 00:08:33,520 --> 00:08:35,880 Speaker 1: many stores in the US? Do you think because we've 159 00:08:35,920 --> 00:08:38,680 Speaker 1: seen so many store closures and Punam has been, you know, 160 00:08:38,800 --> 00:08:40,920 Speaker 1: writing a lot about that in her research, and we 161 00:08:41,000 --> 00:08:44,199 Speaker 1: probably had that accelerator in the pandemic. What do you 162 00:08:44,240 --> 00:08:46,600 Speaker 1: hear from some of the retailers you guys cover, Yeah, well, 163 00:08:46,679 --> 00:08:49,559 Speaker 1: it's um You know, for one thing, there are still 164 00:08:49,600 --> 00:08:53,000 Speaker 1: stores being open, but most of them are dollar stores. Okay, 165 00:08:53,320 --> 00:08:56,240 Speaker 1: that's that's an area where the physical retail is still 166 00:08:56,280 --> 00:09:00,640 Speaker 1: expanding rapidly. Um. But yeah, a lot of the you know, 167 00:09:00,679 --> 00:09:04,400 Speaker 1: sort of mid level and higher end um retailers are 168 00:09:04,440 --> 00:09:08,400 Speaker 1: becoming more selective about where they place there, uh, their 169 00:09:08,440 --> 00:09:13,000 Speaker 1: physical locations and uh you know, we also see companies 170 00:09:13,000 --> 00:09:17,800 Speaker 1: doing things like converting parts of their stores to online 171 00:09:17,800 --> 00:09:21,040 Speaker 1: fulfillment centers, you know, because there's too much online stuff. 172 00:09:21,440 --> 00:09:25,000 Speaker 1: I'm looking for pickleball rackets, find them in a physical store. 173 00:09:25,000 --> 00:09:27,800 Speaker 1: Follow from who follows fans better than you. You've got 174 00:09:27,800 --> 00:09:30,079 Speaker 1: to get them from Jeff Bezos, who to get some 175 00:09:30,200 --> 00:09:32,280 Speaker 1: sources them directly in China. All right, do you wear 176 00:09:32,320 --> 00:09:35,280 Speaker 1: the leather jacket when you're playing? Probably? John Edwards the 177 00:09:35,320 --> 00:09:37,760 Speaker 1: third he's a team leader US consumer Retail for Bloomberg 178 00:09:37,760 --> 00:09:40,760 Speaker 1: News and put them boil covers all things for Bloomberg Intelligence. 179 00:09:41,880 --> 00:09:46,880 Speaker 1: Out in Las Vegas, Math, there's a little technology conference 180 00:09:46,880 --> 00:09:49,520 Speaker 1: called the Consumer Electronics Show. Gets a couple hundred thousand 181 00:09:49,520 --> 00:09:51,880 Speaker 1: people out there to see all the new cool gadgets 182 00:09:51,920 --> 00:09:54,200 Speaker 1: and stuff like that. It's really become, i think an 183 00:09:54,240 --> 00:09:57,880 Speaker 1: automotive conference. They have such a huge presence there. The 184 00:09:57,920 --> 00:10:01,920 Speaker 1: automotive industry. At the cs UH convention, Martin Fisher board member, 185 00:10:02,080 --> 00:10:05,400 Speaker 1: z F Group and Bloomberg Technology host ed love. Though 186 00:10:05,440 --> 00:10:07,880 Speaker 1: he's out in Vegas, he joins us. They both join 187 00:10:07,960 --> 00:10:10,439 Speaker 1: us to discuss what's going on out there from the 188 00:10:10,480 --> 00:10:13,720 Speaker 1: auto perspective. Uh, Martin Fisher, thanks so much for joining 189 00:10:13,800 --> 00:10:18,600 Speaker 1: us here. ZF Group, the world's largest automotive supplier mobility company. 190 00:10:18,640 --> 00:10:21,640 Speaker 1: What do you guys doing at CES this year? Why 191 00:10:21,679 --> 00:10:23,559 Speaker 1: is that and why is this a convention important to 192 00:10:23,559 --> 00:10:26,920 Speaker 1: you guys? I mean, FS for us has always been 193 00:10:26,960 --> 00:10:30,480 Speaker 1: the plower place to present our large scale innovations and 194 00:10:30,520 --> 00:10:33,480 Speaker 1: also some smallest smart ideas, and that's what we're up 195 00:10:33,559 --> 00:10:36,840 Speaker 1: to this year as well. So we focus on the 196 00:10:36,920 --> 00:10:40,840 Speaker 1: key trends of automated driving and electrification and I have 197 00:10:40,920 --> 00:10:44,959 Speaker 1: good news to present in both areas. So what well? 198 00:10:45,000 --> 00:10:47,680 Speaker 1: First of all, I gotta say your resume looks awesome 199 00:10:47,800 --> 00:10:52,000 Speaker 1: from a car guy perspective. You were at vd Siemens Video, 200 00:10:52,360 --> 00:10:55,040 Speaker 1: you were the CEO at Hella. I was just searching 201 00:10:55,080 --> 00:10:58,320 Speaker 1: for some of their products online. General manager at Borg Warner, 202 00:10:58,360 --> 00:11:00,760 Speaker 1: famous for making the turbos. Z F Group makes the 203 00:11:00,800 --> 00:11:05,720 Speaker 1: best transmissions in the world. Um, what a sweet career, 204 00:11:05,800 --> 00:11:09,280 Speaker 1: you've had what I mean, what gets boring? Right? What? 205 00:11:09,280 --> 00:11:12,080 Speaker 1: What gets you excited? What do you what do you have? 206 00:11:12,160 --> 00:11:15,679 Speaker 1: What are you showing at CES? Yeah, the whole transformation 207 00:11:15,720 --> 00:11:18,040 Speaker 1: that we go through is really what keeps me exciting. 208 00:11:18,320 --> 00:11:20,600 Speaker 1: And we have a couple of highlight topics out here. 209 00:11:21,200 --> 00:11:25,280 Speaker 1: We are revealing later today our latest generation autonomous shuttle 210 00:11:25,720 --> 00:11:28,920 Speaker 1: and that's really for me as an engineer. And if 211 00:11:29,000 --> 00:11:34,040 Speaker 1: that strong automotive background, really a highlight autonomous shovel means 212 00:11:34,120 --> 00:11:36,560 Speaker 1: we bring up a vehicle that you know, it's about 213 00:11:36,679 --> 00:11:40,400 Speaker 1: twenty people, it's electrically driven, and it's fully autonomous, so 214 00:11:40,440 --> 00:11:43,600 Speaker 1: it's gonna blend nicely and safely into the traffic. And 215 00:11:44,240 --> 00:11:47,560 Speaker 1: that's how a highlight presentation for today. Who who? Who's 216 00:11:47,559 --> 00:11:50,320 Speaker 1: your customer? There? Is it like the Walt Disney Disney 217 00:11:50,320 --> 00:11:52,880 Speaker 1: World so they can shuttle people around? Or is it 218 00:11:53,840 --> 00:11:57,760 Speaker 1: a corporate campus a college campus? I mean, Vegas seems 219 00:11:57,800 --> 00:12:00,600 Speaker 1: like a good place you can ferry at Ludlow back 220 00:12:00,640 --> 00:12:05,240 Speaker 1: and forth from from the fair Grounds to his suite 221 00:12:05,240 --> 00:12:09,520 Speaker 1: at the Villaggio or yeah, absolutely no, those are already 222 00:12:09,600 --> 00:12:12,679 Speaker 1: very good use cases. Plus it is also in addition 223 00:12:12,679 --> 00:12:15,800 Speaker 1: to the public transportation systems. So when you go into 224 00:12:15,800 --> 00:12:19,920 Speaker 1: a metro pilotan areus and you have subway systems, conventional 225 00:12:19,960 --> 00:12:23,040 Speaker 1: bus systems, where we fall short of is typically the 226 00:12:23,120 --> 00:12:26,199 Speaker 1: last mild transportation solutions. So how do I get from 227 00:12:26,200 --> 00:12:29,760 Speaker 1: the subway station into my neighborhood? And that's where these 228 00:12:29,760 --> 00:12:34,040 Speaker 1: shuttles can help. All of the business cases are l 229 00:12:34,360 --> 00:12:36,800 Speaker 1: You the technology reporter for Bloomberg News, You've seen it all. 230 00:12:36,920 --> 00:12:40,240 Speaker 1: You you have to be at cees from start to finish. 231 00:12:40,320 --> 00:12:42,680 Speaker 1: What's your what's your sense of what's kind of some 232 00:12:42,720 --> 00:12:45,640 Speaker 1: of the highlights out there. It's it's interesting to have 233 00:12:45,679 --> 00:12:48,400 Speaker 1: Martin on the program. Good morning to Martin. You know 234 00:12:48,480 --> 00:12:53,119 Speaker 1: Matt's riot. He is a brilliant cv zs so important 235 00:12:53,240 --> 00:12:56,959 Speaker 1: in globals. Most White Chaine for me, like the famous 236 00:12:57,000 --> 00:13:00,600 Speaker 1: series Let's Get Real, guys, Let's get real. And the industry. 237 00:13:00,679 --> 00:13:03,200 Speaker 1: You know, when I was here in we were talking 238 00:13:03,240 --> 00:13:06,920 Speaker 1: about robotaxis and we were talking about autonomy, and the 239 00:13:06,960 --> 00:13:09,800 Speaker 1: bubbles burst a little bit in that time. But I 240 00:13:09,840 --> 00:13:13,280 Speaker 1: think what's interesting about theF is that they have a 241 00:13:13,360 --> 00:13:18,040 Speaker 1: track record with existing shuttles that working very narrowly defined settings, 242 00:13:18,679 --> 00:13:22,760 Speaker 1: specific lanes in g O fence locations like campuses and 243 00:13:22,840 --> 00:13:24,920 Speaker 1: Martin correct me if I'm wrong, but I think that 244 00:13:24,960 --> 00:13:27,160 Speaker 1: you know, this is kind of an extension of that. Right, 245 00:13:27,400 --> 00:13:30,040 Speaker 1: we're talking about thousands of shuttles with beef over a 246 00:13:30,120 --> 00:13:33,320 Speaker 1: number of years, although I'd be interested to know how soon, 247 00:13:33,440 --> 00:13:36,000 Speaker 1: how many years is this going to happen, because that 248 00:13:36,000 --> 00:13:38,560 Speaker 1: that's really the conversation here at the S like, let's 249 00:13:38,640 --> 00:13:40,599 Speaker 1: let's start announcing some things that are actually going to 250 00:13:40,720 --> 00:13:44,480 Speaker 1: materialize into the real one. Yeah, you're right on its 251 00:13:44,480 --> 00:13:47,440 Speaker 1: solid scaling, and that's how we approached the whole tubbles. 252 00:13:48,240 --> 00:13:51,199 Speaker 1: As you said, we have frost solutions in operations for 253 00:13:51,480 --> 00:13:56,080 Speaker 1: years now and they are inddicated lanes, controlled environment, but 254 00:13:56,240 --> 00:13:59,000 Speaker 1: for us to experience the through stuffs and now we 255 00:13:59,120 --> 00:14:03,040 Speaker 1: go into a traffic operations with the lately announced shuttle. 256 00:14:03,840 --> 00:14:06,000 Speaker 1: Your question, how is it going to hit the market? 257 00:14:06,480 --> 00:14:09,920 Speaker 1: Also out in Vegas yesterday we announced a new partnership 258 00:14:10,080 --> 00:14:13,880 Speaker 1: with Beep Beep as an operator for such autonomous shuttles, 259 00:14:13,920 --> 00:14:17,560 Speaker 1: and that agreement enables us to deliver a couple of 260 00:14:17,559 --> 00:14:21,280 Speaker 1: thousand shuttles into the US market. In terms of timing, 261 00:14:21,600 --> 00:14:25,520 Speaker 1: we will have first vehicles delivered in and then I'm 262 00:14:25,560 --> 00:14:30,320 Speaker 1: going to ramp up in Are you talking with any governments? 263 00:14:30,360 --> 00:14:33,200 Speaker 1: I mean, I know that I'm sitting right here. In Manhattan. 264 00:14:33,240 --> 00:14:35,920 Speaker 1: There's a bus that just every day goes back and 265 00:14:35,960 --> 00:14:39,040 Speaker 1: forth along Central Park, doesn't change the route, isn't going 266 00:14:39,160 --> 00:14:43,240 Speaker 1: very far, takes about twenty or thirty people. Uh why 267 00:14:43,240 --> 00:14:46,280 Speaker 1: don't you talk to the m T A. Yeah, no, 268 00:14:46,400 --> 00:14:48,520 Speaker 1: that's happening, and we do it here and we as 269 00:14:48,640 --> 00:14:51,880 Speaker 1: through partners through BEEP in this case, UM in Europe 270 00:14:51,960 --> 00:14:54,560 Speaker 1: where we are home based, we go also straight into 271 00:14:54,680 --> 00:14:58,560 Speaker 1: these public government discussions. So it's a new avenue for us. 272 00:14:59,320 --> 00:15:02,600 Speaker 1: And in Vegas, what's the fielder as a crowded is 273 00:15:02,680 --> 00:15:06,160 Speaker 1: our people back? Is a pre pandemic? Do you think? Yeah? Yeah, 274 00:15:06,160 --> 00:15:08,080 Speaker 1: I think it is. I think you know, I need 275 00:15:08,120 --> 00:15:10,120 Speaker 1: to talk to the organizers about the official number. And 276 00:15:10,160 --> 00:15:11,880 Speaker 1: actually I'll be honest with you, the c P A 277 00:15:11,880 --> 00:15:15,200 Speaker 1: a pretty kg about it and have been since. But 278 00:15:15,400 --> 00:15:17,560 Speaker 1: you know, my sense of being here is that we're 279 00:15:17,560 --> 00:15:20,080 Speaker 1: back to full sense c S. I think for like 280 00:15:20,200 --> 00:15:22,400 Speaker 1: r global audience, right, you have to appreciate what it is. 281 00:15:22,440 --> 00:15:23,840 Speaker 1: It is a lot of fun. You know, this is 282 00:15:23,920 --> 00:15:26,280 Speaker 1: Las Vegas, right, I won't tell you what I did 283 00:15:26,320 --> 00:15:28,280 Speaker 1: last night, but I did a lot of work late 284 00:15:28,280 --> 00:15:31,400 Speaker 1: into the evening. Yeah, but you know a lot of 285 00:15:31,400 --> 00:15:34,080 Speaker 1: bankers that there are bankers here, there are investors here, 286 00:15:34,080 --> 00:15:36,320 Speaker 1: there are there executives, and I bet you Martin won't 287 00:15:36,320 --> 00:15:38,280 Speaker 1: give us any names. But it's a great chance to 288 00:15:38,320 --> 00:15:40,880 Speaker 1: speed date everyone that you want to see. You can 289 00:15:40,920 --> 00:15:43,280 Speaker 1: see in the space of three days. And that's really 290 00:15:43,280 --> 00:15:45,760 Speaker 1: what it's about. It's about getting all your client meetings 291 00:15:45,760 --> 00:15:48,600 Speaker 1: in doing some deals. Maybe Martin's done some last night 292 00:15:48,640 --> 00:15:51,480 Speaker 1: over dinner. I don't know the question for him, but 293 00:15:51,840 --> 00:15:54,720 Speaker 1: that's kind of the vibe to alright, good stuff. Martin Fisher, 294 00:15:54,840 --> 00:15:58,080 Speaker 1: member of the board of Management at ZF Group and 295 00:15:58,440 --> 00:16:02,000 Speaker 1: at the Low at a Ballooon News in Vegas at 296 00:16:02,080 --> 00:16:08,400 Speaker 1: the ce S. Natalie Trevor Thick, head of investment grade 297 00:16:08,440 --> 00:16:13,040 Speaker 1: credit strategy at paid In in in Regal. So, Natalie, how's 298 00:16:13,040 --> 00:16:16,320 Speaker 1: my analysis? Hold up? It can't be any worse. Is 299 00:16:16,320 --> 00:16:20,160 Speaker 1: got to be better? What's your outlook? Yeah, you're absolutely right. 300 00:16:20,200 --> 00:16:23,080 Speaker 1: We're at a much better starting point here. On bonds, 301 00:16:23,160 --> 00:16:24,760 Speaker 1: you can buy one year tea bills for four and 302 00:16:24,760 --> 00:16:27,080 Speaker 1: a half percent, or corporate bonds for five and a 303 00:16:27,160 --> 00:16:29,880 Speaker 1: half percent. So we think fixed income can go back 304 00:16:29,920 --> 00:16:33,280 Speaker 1: to be being the safe haven asset class um as 305 00:16:33,320 --> 00:16:36,480 Speaker 1: people expect and deliver nice positive returns in two thousand 306 00:16:36,560 --> 00:16:41,280 Speaker 1: and twenty three. So, um, we're talking about treasuries, but 307 00:16:41,320 --> 00:16:45,160 Speaker 1: what about corporates. Um. Obviously, fixed income is a very 308 00:16:45,200 --> 00:16:50,240 Speaker 1: big universe. What do you like the best? Yeah, corporate 309 00:16:50,240 --> 00:16:53,040 Speaker 1: bonds are very attractive, particularly in the front end of 310 00:16:53,040 --> 00:16:55,440 Speaker 1: the curve. You can get yields five and a half 311 00:16:55,480 --> 00:16:58,880 Speaker 1: even six percent in investment grade credit. That's nearly double 312 00:16:58,920 --> 00:17:00,560 Speaker 1: what you can get in high yield the couple of 313 00:17:00,640 --> 00:17:03,480 Speaker 1: years ago, and high yield yielding you know, around nine. 314 00:17:04,320 --> 00:17:08,600 Speaker 1: So given a strong fundamental backdrop, corporations really aren't in trouble. 315 00:17:08,600 --> 00:17:11,240 Speaker 1: They may see some margin compression which is hurting their 316 00:17:11,240 --> 00:17:15,080 Speaker 1: equity performance, but from a bond perspective, they're still quite strong. 317 00:17:15,200 --> 00:17:17,680 Speaker 1: So we think investing in credit is a nice place 318 00:17:17,680 --> 00:17:20,240 Speaker 1: for investors to park their money if they're worried about 319 00:17:20,240 --> 00:17:24,040 Speaker 1: a recession or inflation and volatility and the equity markets well, 320 00:17:24,040 --> 00:17:26,760 Speaker 1: and as you go further out the risk spectrum, you've 321 00:17:26,760 --> 00:17:31,439 Speaker 1: got to start to worry about defaults. Apparently covenants have 322 00:17:31,480 --> 00:17:34,359 Speaker 1: gotten a lot weaker over the past few years investors 323 00:17:34,359 --> 00:17:38,560 Speaker 1: search for hunt for yield. Um, what are your concerns 324 00:17:38,800 --> 00:17:44,400 Speaker 1: in three are defaults? Yeah, we really don't see defaults 325 00:17:44,440 --> 00:17:47,199 Speaker 1: moving materially higher off of their current level. Maybe they 326 00:17:47,280 --> 00:17:49,679 Speaker 1: get up to four per cent, and there are some 327 00:17:49,760 --> 00:17:52,560 Speaker 1: concerns in the triple B a triple C sector, but 328 00:17:52,680 --> 00:17:55,320 Speaker 1: for the most part, high yield companies have extended their 329 00:17:55,359 --> 00:17:58,440 Speaker 1: maturities so they don't really have a hanging debt wall, 330 00:17:58,560 --> 00:18:01,040 Speaker 1: so it's pretty expensive for them to issue right now, 331 00:18:01,040 --> 00:18:03,280 Speaker 1: and most companies can hold off to issuing until two 332 00:18:03,320 --> 00:18:06,199 Speaker 1: thousand twenty four or later, so we don't think the 333 00:18:06,240 --> 00:18:08,880 Speaker 1: default story is a big story for two thousand twenty three, 334 00:18:09,119 --> 00:18:13,879 Speaker 1: and most of these companies can weather mild recession. Natalie, 335 00:18:13,960 --> 00:18:16,720 Speaker 1: In terms of you know an investment grade side, Um, 336 00:18:16,880 --> 00:18:19,240 Speaker 1: what are some of the sectors that you guys are 337 00:18:19,080 --> 00:18:23,000 Speaker 1: are favoring right now? We still favor some of the 338 00:18:23,040 --> 00:18:27,720 Speaker 1: defensive sectors, such as pharmaceuticals and healthcare utilities, But we 339 00:18:27,800 --> 00:18:31,199 Speaker 1: also think the banking sector has cheapened up materially and 340 00:18:31,280 --> 00:18:34,240 Speaker 1: these banks still have strong balance sheets, so we're comfortable 341 00:18:34,480 --> 00:18:36,160 Speaker 1: that they aren't going to see the kind of uh 342 00:18:36,520 --> 00:18:38,919 Speaker 1: financial crisis they saw on the Great recession. Even if 343 00:18:38,960 --> 00:18:41,720 Speaker 1: we were to go into another recession, and they offer 344 00:18:41,760 --> 00:18:46,200 Speaker 1: pretty Commumpelly meals in duration, how far are you willing 345 00:18:46,400 --> 00:18:48,080 Speaker 1: to go out here? Because, as you mentioned, on a 346 00:18:48,119 --> 00:18:50,680 Speaker 1: two year note, you can get four point four six 347 00:18:50,680 --> 00:18:53,600 Speaker 1: percent here and a four to your treasury. So on 348 00:18:53,640 --> 00:18:55,880 Speaker 1: the corporate credit side, how far are you guys willing 349 00:18:55,880 --> 00:18:58,760 Speaker 1: to go out? We are willing to buy thirty years 350 00:18:59,080 --> 00:19:02,480 Speaker 1: typically higher quality bonds. There there is quite an inverted 351 00:19:02,560 --> 00:19:05,200 Speaker 1: treasury curve, you know, as two years are yielding nearly 352 00:19:05,200 --> 00:19:07,000 Speaker 1: four and a half percent and thirty years are only 353 00:19:07,040 --> 00:19:10,280 Speaker 1: at three point eight percent. But investors want to lock 354 00:19:10,320 --> 00:19:12,840 Speaker 1: in these higher yields because if they think that the 355 00:19:12,880 --> 00:19:15,720 Speaker 1: Fed's going to pivot eventually, maybe not this year, but 356 00:19:15,840 --> 00:19:17,680 Speaker 1: and be cutting rates, they want to lock in these 357 00:19:17,720 --> 00:19:20,560 Speaker 1: longer yields further out the curve. So we are seeing 358 00:19:20,600 --> 00:19:22,840 Speaker 1: quite a lot of demand for corporates in ten and 359 00:19:22,920 --> 00:19:27,240 Speaker 1: thirty years. Yeah, we are hearing more and more people 360 00:19:27,320 --> 00:19:30,840 Speaker 1: talk about the possibility of a pivot not coming in 361 00:19:31,840 --> 00:19:37,040 Speaker 1: until what's your view? We agree with that view. But 362 00:19:37,160 --> 00:19:40,640 Speaker 1: despite how hard the FED tries to deliver a hawkish signal, 363 00:19:40,880 --> 00:19:43,159 Speaker 1: investors just aren't buying it. They seem to be in 364 00:19:43,200 --> 00:19:46,000 Speaker 1: the camp that inflation is coming down, the Fed's getting 365 00:19:46,000 --> 00:19:48,200 Speaker 1: it under control, and we are going to keep rates 366 00:19:48,240 --> 00:19:51,000 Speaker 1: higher for longer. So, you know, we had a little 367 00:19:51,000 --> 00:19:53,200 Speaker 1: bit of a rate reversal today, but what we've seen 368 00:19:53,240 --> 00:19:56,640 Speaker 1: consistently since, uh the beginning of November, is that rates 369 00:19:56,640 --> 00:20:00,119 Speaker 1: are moving lower. Not only when you go to talk 370 00:20:00,119 --> 00:20:01,960 Speaker 1: to your clients. What's kind of some of the big 371 00:20:02,000 --> 00:20:05,720 Speaker 1: issues that they're asking you? Again, two was such a 372 00:20:06,160 --> 00:20:09,080 Speaker 1: you know, really difficult year for fixed income investors. They've 373 00:20:09,160 --> 00:20:12,240 Speaker 1: never seen it before. What are they asking you these days? 374 00:20:13,720 --> 00:20:17,000 Speaker 1: Most investors understand what happened in two thousand twenty two 375 00:20:17,040 --> 00:20:20,239 Speaker 1: given the extreme raise and interest rates, and investors are 376 00:20:20,280 --> 00:20:23,560 Speaker 1: more looking for opportunities right now, asking where in credit 377 00:20:23,600 --> 00:20:26,480 Speaker 1: market should they get involved, just because we do expect 378 00:20:26,480 --> 00:20:29,840 Speaker 1: the volatility to continue, particularly in equity markets, and they 379 00:20:30,040 --> 00:20:32,800 Speaker 1: arguing it as a safe haven asset class once again. 380 00:20:33,680 --> 00:20:36,240 Speaker 1: I'm excited, you know, because for the past by some 381 00:20:36,320 --> 00:20:39,560 Speaker 1: bonds a couple of decades, I've been thinking my whole 382 00:20:39,560 --> 00:20:42,600 Speaker 1: future relies on the stock market, and now it seems 383 00:20:42,600 --> 00:20:45,600 Speaker 1: like I can lock in some real returns and then 384 00:20:45,960 --> 00:20:50,520 Speaker 1: sleep easier exactly two year treasuries. Four am I am 385 00:20:50,520 --> 00:20:52,400 Speaker 1: I off base here, Natalie mean, is this the case? 386 00:20:52,440 --> 00:20:55,000 Speaker 1: I'm you know, I'm forty nine years old, happen to 387 00:20:55,040 --> 00:20:57,320 Speaker 1: have a young kid, so I gotta I gotta work 388 00:20:57,359 --> 00:20:59,800 Speaker 1: for the next at least twenty years. But is that 389 00:21:00,080 --> 00:21:01,920 Speaker 1: the situation people my age are going to be in. 390 00:21:02,000 --> 00:21:04,920 Speaker 1: Are they gonna start investing in fixed income and and 391 00:21:04,920 --> 00:21:07,720 Speaker 1: not have to worry so much about the volatility of 392 00:21:07,720 --> 00:21:11,399 Speaker 1: the stock market? Exactly, it's sleep at night. You can 393 00:21:11,400 --> 00:21:14,040 Speaker 1: get five percent just and cupons alone. And if you 394 00:21:14,080 --> 00:21:16,760 Speaker 1: actually do believe that that's gonna pivot and start cutting 395 00:21:16,840 --> 00:21:19,480 Speaker 1: rates even next year, then you can have the positive 396 00:21:19,520 --> 00:21:22,959 Speaker 1: total returns from declining interest rates and price appreciation on 397 00:21:23,040 --> 00:21:24,960 Speaker 1: top of that five percent. So I think we're looking 398 00:21:24,960 --> 00:21:28,720 Speaker 1: at mid single digit returns and credit this year and 399 00:21:28,760 --> 00:21:31,560 Speaker 1: maybe high single digit to double digits in the years ahead. 400 00:21:32,400 --> 00:21:35,560 Speaker 1: Are your portfolio managers are they kind of running recession 401 00:21:36,520 --> 00:21:38,879 Speaker 1: scenarios here where they have to really start thinking about 402 00:21:38,920 --> 00:21:42,440 Speaker 1: covenants and interest coverage and you know that that kind 403 00:21:42,440 --> 00:21:44,920 Speaker 1: of thing. Are they running those recession models kind of 404 00:21:45,040 --> 00:21:49,199 Speaker 1: right now in case we do have some issues. Absolutely, 405 00:21:49,200 --> 00:21:53,480 Speaker 1: and we're always looking at those contingencies and evaluating evaluating 406 00:21:54,080 --> 00:21:56,600 Speaker 1: aiding it on a bond by bond basis. But we 407 00:21:56,680 --> 00:21:58,880 Speaker 1: really don't think that's going to be a major concern. 408 00:21:59,000 --> 00:22:02,200 Speaker 1: So we do like having a defensive mix in our portfolios, 409 00:22:02,240 --> 00:22:05,280 Speaker 1: but we're looking to extend out the respectrum and credits 410 00:22:05,320 --> 00:22:08,440 Speaker 1: where we feel pretty confident. You gotta want to push 411 00:22:08,480 --> 00:22:10,959 Speaker 1: on covenants a little bit more, um Am, I right, 412 00:22:11,040 --> 00:22:14,480 Speaker 1: that they've become a little bit too Uh well, I 413 00:22:14,520 --> 00:22:19,680 Speaker 1: guess advantageous to the borrower over the past couple of years. Yes, 414 00:22:19,880 --> 00:22:22,040 Speaker 1: boards have been getting away with a lot. So that's 415 00:22:22,040 --> 00:22:24,960 Speaker 1: something our analyst team really focuses on when we meet 416 00:22:25,040 --> 00:22:27,560 Speaker 1: with management teams, is pushing back from covenants and we're 417 00:22:27,600 --> 00:22:29,919 Speaker 1: more than happy to not participate in deals where we 418 00:22:29,920 --> 00:22:33,480 Speaker 1: don't think they're strong enough. Natalie mentioned how often do 419 00:22:33,520 --> 00:22:37,000 Speaker 1: your analysts meet with analyst teams these days? Posts, you know, 420 00:22:37,840 --> 00:22:40,840 Speaker 1: post pandemic management teams. Yeah, with Matt management teams, are 421 00:22:40,880 --> 00:22:42,879 Speaker 1: they are they traveling to come see you in Los Angeles? 422 00:22:42,920 --> 00:22:45,520 Speaker 1: Are you going to conferences? How do you interact with 423 00:22:45,560 --> 00:22:48,640 Speaker 1: management teams these days? Yeah, we're doing both tho. It's 424 00:22:48,680 --> 00:22:51,160 Speaker 1: picking up again with in person meetings, but They still 425 00:22:51,200 --> 00:22:53,960 Speaker 1: do a lot of virtual meetings via Zoom, but the 426 00:22:54,000 --> 00:22:57,000 Speaker 1: in person meetings conferences that management teams to travel into 427 00:22:57,000 --> 00:22:59,639 Speaker 1: our office is picked up a lot. Alright, good stuff. 428 00:22:59,680 --> 00:23:03,560 Speaker 1: Nat the treviorth Thick, head of Investment Grade UH Credit 429 00:23:03,680 --> 00:23:06,720 Speaker 1: Strategy at Payton and regal Um. They're based on Los 430 00:23:06,720 --> 00:23:09,359 Speaker 1: Angeles at one of the great office towers in Los Angeles, 431 00:23:09,440 --> 00:23:11,960 Speaker 1: three thirty three South Grand Avenue. You've got like all 432 00:23:12,000 --> 00:23:17,680 Speaker 1: the big firms there have been there at various times. 433 00:23:19,960 --> 00:23:22,000 Speaker 1: Do you know that Katie gray Feld spends her entire 434 00:23:22,040 --> 00:23:24,760 Speaker 1: weekend slaving away on her cats and Coins newsletter? Is 435 00:23:24,760 --> 00:23:27,480 Speaker 1: that right? Yeah? Okay, Katie Gryfeld, cross Asset reporter joins 436 00:23:27,520 --> 00:23:30,359 Speaker 1: us here in a Bloomberg Interactive Broker studio. First of all, 437 00:23:30,680 --> 00:23:33,000 Speaker 1: when you do your grsage riding thing on the horse, 438 00:23:33,160 --> 00:23:35,880 Speaker 1: you have a saddle, right, big time big. But it's 439 00:23:35,920 --> 00:23:39,960 Speaker 1: not a cowboy John Wayne saddle. No, it's a grsage saddle. 440 00:23:39,960 --> 00:23:42,040 Speaker 1: It's you can tell it's a gossage shaddle because it 441 00:23:42,080 --> 00:23:44,520 Speaker 1: has a really high back. It's kind of like sitting 442 00:23:44,520 --> 00:23:46,320 Speaker 1: in a bucket because you really want to have a 443 00:23:46,440 --> 00:23:49,600 Speaker 1: firm base ride. Alright, good stuff. We were Matt. Matt 444 00:23:49,600 --> 00:23:51,320 Speaker 1: and I were just talking about that. We weren't sure 445 00:23:51,320 --> 00:23:54,119 Speaker 1: how that out. But when you when you say you 446 00:23:54,200 --> 00:23:56,840 Speaker 1: rope a calf and you've got to tie tie into 447 00:23:56,920 --> 00:23:59,200 Speaker 1: your saddle, what do you do if there's a calf 448 00:23:59,240 --> 00:24:02,639 Speaker 1: in the the grsage? Right, something went wrong. But I 449 00:24:02,640 --> 00:24:05,639 Speaker 1: would say a Western saddle is like a couch, Like 450 00:24:05,680 --> 00:24:09,240 Speaker 1: that's a comfortable saddle. But a Grsage saddle took a bucket. 451 00:24:09,280 --> 00:24:11,639 Speaker 1: You know you're really sitting in there, you're strapped in 452 00:24:11,800 --> 00:24:15,080 Speaker 1: You guys have fallen off. All right? I want to 453 00:24:15,080 --> 00:24:18,720 Speaker 1: talk crypto here. Who is Barry Silver? And do I 454 00:24:18,800 --> 00:24:22,080 Speaker 1: care who this guy is? Definitely care who Barry Silver? 455 00:24:22,119 --> 00:24:26,040 Speaker 1: It is. He is the founder of Digital Currency Group. 456 00:24:26,280 --> 00:24:29,240 Speaker 1: It is. It was once valued at ten billion dollars. 457 00:24:29,280 --> 00:24:32,479 Speaker 1: It's this huge crypto conglomerate. The reason you're hearing so 458 00:24:32,560 --> 00:24:37,080 Speaker 1: much about Barry Silver right now is because the companies 459 00:24:37,119 --> 00:24:40,760 Speaker 1: that dcg owns it has Gray Scale, which has the 460 00:24:40,800 --> 00:24:44,320 Speaker 1: gray scale Bitcoin Trust exactly, which is in a lot 461 00:24:44,320 --> 00:24:47,800 Speaker 1: of well you know how much bitcoin does the gray 462 00:24:47,880 --> 00:24:51,200 Speaker 1: gray scale Bitcoin Trust own. At one point it held 463 00:24:51,280 --> 00:24:54,080 Speaker 1: like three percent of all outstanding supply of bitcoin. So 464 00:24:54,119 --> 00:24:56,040 Speaker 1: it's a. It's a massive amount of money, but the 465 00:24:56,119 --> 00:24:59,800 Speaker 1: thing about it is it's trading at a massive discount, 466 00:25:00,080 --> 00:25:03,800 Speaker 1: massive to net asset value. Like if they own out, 467 00:25:03,880 --> 00:25:07,520 Speaker 1: let's say a billion dollars worth of bitcoin um, the 468 00:25:07,600 --> 00:25:12,359 Speaker 1: whole thing is only worth okay okay. So and shareholders 469 00:25:12,359 --> 00:25:15,160 Speaker 1: are upset because they can't get their their bitcoin out 470 00:25:15,160 --> 00:25:18,600 Speaker 1: because it doesn't have redemptions. There are Gray Skills actually 471 00:25:18,600 --> 00:25:20,359 Speaker 1: getting sued by a hedge fund right now, for a 472 00:25:20,359 --> 00:25:24,640 Speaker 1: Tree Capital is suing Gray Scale over the discount. They're 473 00:25:24,680 --> 00:25:27,960 Speaker 1: saying that they mismanaged the trust, etcetera, etcetera. So we'll 474 00:25:27,960 --> 00:25:30,040 Speaker 1: see if that goes anywhere. But there's starting to be 475 00:25:30,119 --> 00:25:33,280 Speaker 1: some like really long shot activist campaigns to try to 476 00:25:33,320 --> 00:25:36,760 Speaker 1: oust Gray Scale as the manager of this trust. Again, 477 00:25:36,800 --> 00:25:40,280 Speaker 1: these are long shots, but we'll see. It just speaks 478 00:25:40,320 --> 00:25:42,840 Speaker 1: to the fact that there's this bubbling discontent over what's 479 00:25:42,880 --> 00:25:45,520 Speaker 1: happening at Gray Scale. One of the DCG companies, the 480 00:25:45,600 --> 00:25:48,880 Speaker 1: other one that you're hearing a lot about is Genesis. 481 00:25:49,040 --> 00:25:53,800 Speaker 1: So that's a lending crypto lending company owned by DCG. Actually, 482 00:25:53,880 --> 00:25:56,360 Speaker 1: I don't know if you guys like we're following over 483 00:25:56,400 --> 00:26:01,000 Speaker 1: the weekend, but Gemini the winkle vibes, wins. It was 484 00:26:01,040 --> 00:26:04,080 Speaker 1: just one winkel By. It was Cameron, Yeah, Cameron Winklevoss. 485 00:26:04,400 --> 00:26:07,399 Speaker 1: He wrote a really heated letter in open letter to 486 00:26:07,440 --> 00:26:11,080 Speaker 1: Barry Silbert because Gemini they say that their own nine 487 00:26:11,520 --> 00:26:16,120 Speaker 1: million dollars in customer assets, uh, basically in limbo at 488 00:26:16,400 --> 00:26:19,760 Speaker 1: at Genesis and they haven't been able to make satisfying 489 00:26:19,880 --> 00:26:22,960 Speaker 1: contact with Barry Silbert's So there's a lot you can 490 00:26:23,040 --> 00:26:27,040 Speaker 1: understand why Cameron's angry, right, because that's not just his money. 491 00:26:27,119 --> 00:26:31,080 Speaker 1: He's got clients who are probably angry with him. Oh yeah, 492 00:26:31,600 --> 00:26:34,040 Speaker 1: and actually they have their own lawsuit on their him. 493 00:26:34,040 --> 00:26:36,000 Speaker 1: They're being sued by their customs. So the way that 494 00:26:36,119 --> 00:26:41,359 Speaker 1: Cameron sees it, what he alleges is that Barry Silbert 495 00:26:41,440 --> 00:26:45,080 Speaker 1: has done some serious co mingling of fun. I've that 496 00:26:45,160 --> 00:26:47,800 Speaker 1: term before, and we know that co mingling is no way. No, 497 00:26:48,119 --> 00:26:51,720 Speaker 1: that is a big accusation. That's definitely what I mean. 498 00:26:51,720 --> 00:26:53,440 Speaker 1: It was a long letter. I read every word well. 499 00:26:53,480 --> 00:26:57,440 Speaker 1: Cameron says that Silbert's DCG borrowed one point six seven 500 00:26:57,560 --> 00:27:04,000 Speaker 1: five billion dollars from Genesis is and uh, Silbert responded, no, 501 00:27:04,200 --> 00:27:07,080 Speaker 1: we have not borrowed one point six seven five billion 502 00:27:07,119 --> 00:27:11,280 Speaker 1: dollars from Genesis and we make every interest payment on time, 503 00:27:11,600 --> 00:27:13,800 Speaker 1: so kind of implying we have borrowed money, but not 504 00:27:13,960 --> 00:27:16,760 Speaker 1: that much money, or at least not that exact amount. Yeah, 505 00:27:16,800 --> 00:27:19,080 Speaker 1: that was a little uh like, how much then have 506 00:27:19,200 --> 00:27:22,439 Speaker 1: you borrowed? Is it one point seven five billion? Is 507 00:27:22,440 --> 00:27:25,080 Speaker 1: it only one billion? I would love to know. There's 508 00:27:25,119 --> 00:27:27,440 Speaker 1: plenty who would love to know, not just reporters, really 509 00:27:27,440 --> 00:27:29,719 Speaker 1: everyone in the crypto industry would love to know. But 510 00:27:29,880 --> 00:27:34,119 Speaker 1: they actually gave Silbert a deadline here, Cameron Winklevoss, he 511 00:27:34,200 --> 00:27:39,160 Speaker 1: said that he wants some sort of public commitment that, uh, 512 00:27:39,160 --> 00:27:42,040 Speaker 1: Silbird and DCG is going to work together to solve 513 00:27:42,040 --> 00:27:45,520 Speaker 1: this problem by January eighth, that is three days from now. 514 00:27:45,560 --> 00:27:48,320 Speaker 1: What happens on January eighth? I don't know, I don't know. 515 00:27:48,320 --> 00:27:50,120 Speaker 1: All right, let's bring in Barry Ridholtz. He's a host 516 00:27:50,119 --> 00:27:53,760 Speaker 1: of Masters in business on Bloomberg Radio, Chairman and chief 517 00:27:53,760 --> 00:27:56,560 Speaker 1: investment Officervert Hults Wealth Management. Barry, you know we've been 518 00:27:56,560 --> 00:28:01,520 Speaker 1: talking about crypto. It was certainly am pelling story, broadly 519 00:28:01,560 --> 00:28:05,359 Speaker 1: defined uh in two Well, you know what, I let's 520 00:28:05,440 --> 00:28:08,040 Speaker 1: ask Barry about com England. So Barry, how much money 521 00:28:08,080 --> 00:28:10,960 Speaker 1: do you borrow from the clients that Rittoltz Wealth Management 522 00:28:10,960 --> 00:28:12,800 Speaker 1: without telling them about it? You know, it's It's one 523 00:28:12,840 --> 00:28:15,720 Speaker 1: of the first rules you learn when you get into 524 00:28:15,760 --> 00:28:19,639 Speaker 1: either a Series seven or sixth Series sixty five. Don't 525 00:28:19,640 --> 00:28:23,879 Speaker 1: co mingle funds. Never borrow money from clients. That's verboten. 526 00:28:24,480 --> 00:28:26,720 Speaker 1: You know, you were here to provide a service to 527 00:28:26,760 --> 00:28:29,120 Speaker 1: the clients. They are not here to provide a line 528 00:28:29,119 --> 00:28:32,760 Speaker 1: of credit to you. And it's astonishing that we continue 529 00:28:32,760 --> 00:28:35,920 Speaker 1: to see these same sort of things pop up all 530 00:28:35,960 --> 00:28:39,560 Speaker 1: over the place. Although to be fair, you know, crypto 531 00:28:39,720 --> 00:28:42,840 Speaker 1: is unregulated, it's not arguably a security. A lot of 532 00:28:42,840 --> 00:28:46,360 Speaker 1: these companies are headquartered outside of the United States. So 533 00:28:47,080 --> 00:28:49,960 Speaker 1: you know, as much as people want to blame Gary Ginsler, 534 00:28:50,280 --> 00:28:53,960 Speaker 1: this is out of his jurisdiction. H agree. I mean, um, 535 00:28:54,000 --> 00:28:57,440 Speaker 1: everyone complains that the SEC hasn't done enough in terms 536 00:28:57,440 --> 00:29:00,000 Speaker 1: of f t X, but f t x dot Com 537 00:29:00,080 --> 00:29:02,840 Speaker 1: was located in the Bahamas. The SEC doesn't have jurisdiction 538 00:29:02,920 --> 00:29:06,760 Speaker 1: over it. And by the way, even if Gensler did, 539 00:29:07,720 --> 00:29:10,760 Speaker 1: assuming that there was some kind of fraud, committed that 540 00:29:10,800 --> 00:29:14,360 Speaker 1: there was money taken from clients, when that that's already illegal. 541 00:29:14,480 --> 00:29:18,360 Speaker 1: It's not like there's no regulation against that. Um. By 542 00:29:18,360 --> 00:29:22,760 Speaker 1: the way, in terms of Sam Bankman freed to me, 543 00:29:22,920 --> 00:29:24,960 Speaker 1: I kind of get it. I mean, he's a little kid. 544 00:29:25,320 --> 00:29:29,720 Speaker 1: He's clearly different. He's a young person, and he's a 545 00:29:29,800 --> 00:29:31,920 Speaker 1: very different kind of person. So if you tell me 546 00:29:32,000 --> 00:29:35,360 Speaker 1: like he didn't know the rules or whatever, I feel 547 00:29:35,360 --> 00:29:38,960 Speaker 1: like it's possible someone like John Corzine he knew the 548 00:29:39,080 --> 00:29:43,240 Speaker 1: rules right. And I still get pulled over in my 549 00:29:43,360 --> 00:29:46,360 Speaker 1: twenties going seventy over the speed limit. I used to 550 00:29:46,400 --> 00:29:48,440 Speaker 1: say to the police, Look, I'm a young kid, I 551 00:29:48,520 --> 00:29:52,080 Speaker 1: don't know the rules. Let me go, And that worked beautifully. Well, look, 552 00:29:52,400 --> 00:29:54,160 Speaker 1: my dad's a lawyer. He says, if you don't know 553 00:29:54,240 --> 00:29:56,600 Speaker 1: the law, you're allowed to break it. That doesn't really, 554 00:29:56,920 --> 00:30:00,840 Speaker 1: that doesn't really work. Ignorance is no excuse. And the way, 555 00:30:01,280 --> 00:30:04,400 Speaker 1: thirty one is not a child, he's out of college 556 00:30:04,440 --> 00:30:09,200 Speaker 1: for a decade, he has attorneys and accountants and CFOs. 557 00:30:09,720 --> 00:30:13,440 Speaker 1: The fact that he said it'll be okay to you know, 558 00:30:13,520 --> 00:30:17,200 Speaker 1: borrow some money from from clients, you know, that's just 559 00:30:17,360 --> 00:30:19,840 Speaker 1: holly an excuse. If that's what happened, right, we don't 560 00:30:19,920 --> 00:30:22,280 Speaker 1: we still were still that's what appears to have happened, 561 00:30:22,320 --> 00:30:25,360 Speaker 1: but we don't know for sure yet. Kenny carries a 562 00:30:25,440 --> 00:30:28,240 Speaker 1: lawyer two by the way, I know, yep, he's jd 563 00:30:28,320 --> 00:30:31,239 Speaker 1: Eton That a card Dozo school of Walachu University, one 564 00:30:31,280 --> 00:30:34,400 Speaker 1: of the goodwins. Um Katie, what's the feeling when you 565 00:30:34,440 --> 00:30:37,920 Speaker 1: talk to folks in the crypto space. Is this a 566 00:30:38,000 --> 00:30:40,880 Speaker 1: bump along the road of the evolution of an asset 567 00:30:40,920 --> 00:30:43,360 Speaker 1: class or is this something more fundamental? When you see 568 00:30:43,720 --> 00:30:46,320 Speaker 1: sam Bank MN freed a major exchange and maybe even 569 00:30:46,400 --> 00:30:50,520 Speaker 1: some more issues within this sector. Well, I mean, it 570 00:30:50,560 --> 00:30:53,720 Speaker 1: feels like this is almost like a fork in the road. 571 00:30:53,800 --> 00:30:57,120 Speaker 1: You have all these crypto companies. This is definitely a 572 00:30:57,160 --> 00:30:59,960 Speaker 1: reckoning for the crypto companies. Then you have the hardcore 573 00:31:00,120 --> 00:31:05,240 Speaker 1: believers you know, own your keys were all about no duh, right, 574 00:31:05,280 --> 00:31:07,920 Speaker 1: that's the whole point. Yeah, yeah, so I mean, and 575 00:31:07,920 --> 00:31:10,040 Speaker 1: that's why you mean for you have to hold your 576 00:31:10,040 --> 00:31:12,120 Speaker 1: own private key. You don't leave a whole bunch of 577 00:31:12,160 --> 00:31:16,960 Speaker 1: crypto on centralized centralized exchange, but which by the way, 578 00:31:17,040 --> 00:31:20,120 Speaker 1: is located offshore, right so that you don't have jurist 579 00:31:20,200 --> 00:31:22,560 Speaker 1: your own regulations on jurisdiction over it. So where do 580 00:31:22,600 --> 00:31:25,880 Speaker 1: you keep so obvious. You keep it in a cold wallet, Yeah, 581 00:31:25,960 --> 00:31:28,120 Speaker 1: you keep it on a hard drive. On a hard drive, 582 00:31:28,280 --> 00:31:31,800 Speaker 1: you keep it under your bed or safe for at 583 00:31:31,800 --> 00:31:34,000 Speaker 1: your sister's house. I don't know, but you clearly don't 584 00:31:34,080 --> 00:31:38,360 Speaker 1: keep it on an offshore exchange. That is I just 585 00:31:38,560 --> 00:31:40,840 Speaker 1: I can't get over that. And that's why you're seeing 586 00:31:40,880 --> 00:31:44,400 Speaker 1: I mean, coin Base, what a story downgraded again today 587 00:31:44,440 --> 00:31:49,280 Speaker 1: now at Collen And that's just I mean, I remember 588 00:31:49,400 --> 00:31:51,800 Speaker 1: if we turned back to early November when all this 589 00:31:51,840 --> 00:31:54,959 Speaker 1: FTX news was breaking, there was a question out there, 590 00:31:55,080 --> 00:31:56,840 Speaker 1: wasn't this good for coin base. You have one of 591 00:31:56,880 --> 00:32:00,680 Speaker 1: their top competitors now out of the market. It there's 592 00:32:00,760 --> 00:32:05,360 Speaker 1: this sort of migration away from these centralized exchanges by 593 00:32:05,400 --> 00:32:07,840 Speaker 1: these true believers who maybe weren't even there in the 594 00:32:07,880 --> 00:32:10,320 Speaker 1: first place. Now they're definitely not going to be going 595 00:32:10,360 --> 00:32:13,040 Speaker 1: to a coin base to store up their money. And 596 00:32:13,080 --> 00:32:18,000 Speaker 1: the normal retail, average sort of crypto trader, they're not 597 00:32:18,040 --> 00:32:21,040 Speaker 1: in the market anymore. There are decentralized exchanges. But in 598 00:32:21,160 --> 00:32:25,320 Speaker 1: terms of you know what this says about crypto, Fortunately 599 00:32:25,400 --> 00:32:29,240 Speaker 1: for us, there's a market and an asset that's priced, 600 00:32:30,280 --> 00:32:33,200 Speaker 1: so we can tell what people think about crypto and 601 00:32:33,200 --> 00:32:36,640 Speaker 1: guess what, Barry, the price of bitcoin hasn't moved since 602 00:32:36,680 --> 00:32:40,240 Speaker 1: November seven, since the explosion of f t X. What 603 00:32:40,320 --> 00:32:43,960 Speaker 1: does that tell you that it's still worth sixteen thousand 604 00:32:44,040 --> 00:32:47,880 Speaker 1: dollars and change. I'll tell you what has moved since then, 605 00:32:47,960 --> 00:32:51,120 Speaker 1: and that's been gold. And one of the things that's 606 00:32:51,200 --> 00:32:54,800 Speaker 1: kind of fascinating. You call the phrase early in in 607 00:32:55,240 --> 00:33:00,400 Speaker 1: crypto's history millennial gold, that a lot of the anti 608 00:33:00,440 --> 00:33:05,320 Speaker 1: central bank, anti fea currency, Hey we need hard assets 609 00:33:05,440 --> 00:33:09,840 Speaker 1: kind of abandoned precious metals and moved into crypto. Well, 610 00:33:09,920 --> 00:33:12,600 Speaker 1: it looks like over the past you know, three to 611 00:33:12,680 --> 00:33:17,800 Speaker 1: six months, some frustration with crypto. First the price decrease, 612 00:33:17,880 --> 00:33:21,000 Speaker 1: which seems to be a regular occurrence with crypto. But 613 00:33:21,120 --> 00:33:25,360 Speaker 1: then everything that's been going on with with issues of 614 00:33:25,360 --> 00:33:30,040 Speaker 1: of you know, criminality and illegality and and potentially theft, 615 00:33:30,480 --> 00:33:35,200 Speaker 1: seems to have given gold an opportunity to catch a bid. 616 00:33:35,400 --> 00:33:38,240 Speaker 1: And I just can't help but wonder if if crypto 617 00:33:38,560 --> 00:33:41,920 Speaker 1: is now stagnant because some of the true believers are 618 00:33:41,920 --> 00:33:45,160 Speaker 1: going back to the yellow metal. It is wild. I mean, 619 00:33:45,160 --> 00:33:48,480 Speaker 1: I'm looking at gold's move It's up twelve percent over 620 00:33:48,520 --> 00:33:55,680 Speaker 1: twelve since November three. What a coincidence. I think, on 621 00:33:55,720 --> 00:33:59,520 Speaker 1: the other hand, you could say, uh, well no, I 622 00:33:59,560 --> 00:34:03,440 Speaker 1: think it's totally fascinating also in regards to bitcoin. But 623 00:34:03,720 --> 00:34:05,840 Speaker 1: a lot of people do think we're headed into a recession. 624 00:34:06,040 --> 00:34:09,840 Speaker 1: I love Michael Burry's recent post on Twitter. He said 625 00:34:09,880 --> 00:34:13,680 Speaker 1: that we're going to see disinflation or deflation in the 626 00:34:13,760 --> 00:34:16,400 Speaker 1: second half of We're going to be in a recession 627 00:34:16,440 --> 00:34:19,719 Speaker 1: by any way you measure it, and that not only 628 00:34:19,800 --> 00:34:22,080 Speaker 1: is the FED going to have to cut but um, 629 00:34:22,120 --> 00:34:25,480 Speaker 1: the government's going to have to deploy more fiscal stimulus. Now. 630 00:34:25,480 --> 00:34:29,719 Speaker 1: To be fair, that's a very uh that seems like 631 00:34:29,719 --> 00:34:34,600 Speaker 1: an outlier. That's a very outlier and alarmist sensationalist view. 632 00:34:34,680 --> 00:34:39,439 Speaker 1: But I love alarmist sensationalism. You know it's Twitter. Yeah, 633 00:34:39,440 --> 00:34:43,000 Speaker 1: that really plays on Twitter. So deflation, I mean, what 634 00:34:43,160 --> 00:34:46,000 Speaker 1: does well in inflation? Do we have any sort of blueprint? 635 00:34:46,080 --> 00:34:48,200 Speaker 1: I don't know, Barry, what's the deal with gold as 636 00:34:48,200 --> 00:34:51,799 Speaker 1: an inflation hedge? And because it didn't seem to do 637 00:34:51,960 --> 00:34:55,040 Speaker 1: that well and as we ramped up to ten percent 638 00:34:55,160 --> 00:34:58,040 Speaker 1: and change on the CPI and do you want to 639 00:34:58,080 --> 00:35:00,479 Speaker 1: own it? If we're headed into a recession? And where 640 00:35:00,480 --> 00:35:02,560 Speaker 1: the fed is going to have to cut. So to me, 641 00:35:02,760 --> 00:35:08,279 Speaker 1: gold seems to trade most correlated or really inversely correlated 642 00:35:08,360 --> 00:35:10,480 Speaker 1: to the dollar. You know, we had a huge run 643 00:35:10,560 --> 00:35:12,759 Speaker 1: up in the US dollar last year that peaked and 644 00:35:12,760 --> 00:35:15,560 Speaker 1: started to fall. That peaked sometime I don't know, around 645 00:35:15,600 --> 00:35:18,640 Speaker 1: the beginning of November. And remember the dollar is a 646 00:35:18,680 --> 00:35:23,960 Speaker 1: measuring stick for commodities, including gold, So as the dollar softens, 647 00:35:24,200 --> 00:35:26,600 Speaker 1: price of gold goes up. When the measuring stick gets 648 00:35:26,600 --> 00:35:29,800 Speaker 1: a little smaller, it makes the measured a little a 649 00:35:29,880 --> 00:35:33,960 Speaker 1: little larger. So uh, to me, golds has always been 650 00:35:33,960 --> 00:35:37,880 Speaker 1: a trading vehicle. It has never been a investment vehicle 651 00:35:37,960 --> 00:35:40,680 Speaker 1: because it doesn't produce any sort of cash flow, It 652 00:35:40,719 --> 00:35:44,600 Speaker 1: doesn't produce any sort of dividend. Arguably, you say the 653 00:35:44,640 --> 00:35:47,080 Speaker 1: same thing about crypto. But at your mountain house where 654 00:35:47,080 --> 00:35:50,480 Speaker 1: you keep like, you know, dozens of gallons of water 655 00:35:50,600 --> 00:35:54,880 Speaker 1: and some shotguns, you have gold bars there too. Right, Listen, 656 00:35:54,920 --> 00:35:59,719 Speaker 1: If if you're planning on existing in the post of 657 00:36:00,000 --> 00:36:04,320 Speaker 1: acalyptic landscape and you're gonna be treating bars of gold 658 00:36:04,400 --> 00:36:06,799 Speaker 1: for food and water, I think we have lots of 659 00:36:06,800 --> 00:36:10,000 Speaker 1: other problems that If you're that person, though, I think 660 00:36:10,040 --> 00:36:12,879 Speaker 1: you probably also have some bitcoin. Doesn't it just fit 661 00:36:12,920 --> 00:36:15,680 Speaker 1: with that sort of I would think so, although it 662 00:36:15,719 --> 00:36:22,319 Speaker 1: doesn't because bitcoin is specifically tied to technology. And so 663 00:36:22,360 --> 00:36:29,239 Speaker 1: if you have a technology that um only works on 664 00:36:29,320 --> 00:36:32,920 Speaker 1: the internet, what happens? And when there's no network, no 665 00:36:33,960 --> 00:36:38,360 Speaker 1: no infrastructure, no electricity, no internet, Bitcoin ain't gonna be 666 00:36:38,400 --> 00:36:41,080 Speaker 1: a whole lot of anything then So so Barry, at 667 00:36:41,120 --> 00:36:44,080 Speaker 1: the cocktail party this weekend, somebody comes up to you 668 00:36:44,120 --> 00:36:47,680 Speaker 1: and says, it's crypto real, it's bitcoin real. Should I 669 00:36:47,680 --> 00:36:49,239 Speaker 1: invest in this? What do you? What do you tell them? 670 00:36:50,360 --> 00:36:53,120 Speaker 1: The same thing I've been saying for for years and years, 671 00:36:53,200 --> 00:36:58,680 Speaker 1: which is, think of crypto like a large megacap tech stock, 672 00:36:58,800 --> 00:37:02,480 Speaker 1: like an Amazon or an Apple. It's not quite its 673 00:37:02,480 --> 00:37:06,120 Speaker 1: own asset class yet, it's not quite um something that 674 00:37:06,280 --> 00:37:09,360 Speaker 1: has shown a whole lot of ability to diversify. It 675 00:37:09,400 --> 00:37:14,160 Speaker 1: really seems to be highly correlated to UH two equity prices. 676 00:37:14,200 --> 00:37:16,799 Speaker 1: And you know, we always tell people if you want 677 00:37:16,840 --> 00:37:19,239 Speaker 1: to have a fun account, you want to have a 678 00:37:19,280 --> 00:37:23,160 Speaker 1: five percent mad money account to just do really dumb 679 00:37:23,200 --> 00:37:27,080 Speaker 1: things that will not affect your long term quote unquote 680 00:37:27,120 --> 00:37:29,880 Speaker 1: real money. Well, have at it. But by out of 681 00:37:29,880 --> 00:37:34,160 Speaker 1: the money call options by bitcoin play around with short tesla, 682 00:37:34,200 --> 00:37:37,000 Speaker 1: whatever you want to do, but you know that five 683 00:37:37,040 --> 00:37:39,360 Speaker 1: percent is going to scratch your itch, and if it 684 00:37:39,400 --> 00:37:42,239 Speaker 1: goes to zero, you're done, You're tapped out, and you 685 00:37:42,440 --> 00:37:45,880 Speaker 1: let you leave your real money alone. And that seems 686 00:37:45,880 --> 00:37:49,640 Speaker 1: to have been a pretty good approach, especially for people 687 00:37:49,640 --> 00:37:54,719 Speaker 1: who were chasing meme stocks. In thank goodness, it was 688 00:37:54,800 --> 00:37:57,480 Speaker 1: only five percent of their accounts and not their real money. 689 00:37:57,560 --> 00:38:00,400 Speaker 1: All right, very great stuff as always, very Ridholtz Narvard 690 00:38:00,440 --> 00:38:03,439 Speaker 1: Holts Wealth Management, host of Masters in Business and Katie 691 00:38:03,520 --> 00:38:07,319 Speaker 1: Raifel Bloomberg News cross asset reporter joining US year. We're 692 00:38:07,360 --> 00:38:10,279 Speaker 1: talking a little bit of crypto and you know, Sam 693 00:38:10,320 --> 00:38:13,640 Speaker 1: Bankman freed, he's pled not guilty, So it looks like 694 00:38:13,760 --> 00:38:17,319 Speaker 1: we're going to trial sometime in October. I believe is 695 00:38:17,360 --> 00:38:19,759 Speaker 1: that they they've said to start that travel. We'll see 696 00:38:19,800 --> 00:38:23,200 Speaker 1: if that happens, but that will be compelling theater if 697 00:38:23,200 --> 00:38:25,560 Speaker 1: none they nonetheless, I mean, if nothing else would be 698 00:38:25,560 --> 00:38:28,480 Speaker 1: compelling drama, compelling theater as people try to get a 699 00:38:28,480 --> 00:38:31,320 Speaker 1: sense of what happened at ft x UH and Sam 700 00:38:31,480 --> 00:38:38,840 Speaker 1: Bankman freed, the total economic output of US latinos was 701 00:38:38,920 --> 00:38:42,880 Speaker 1: two point eight trillion dollars in Yet, despite being a 702 00:38:42,960 --> 00:38:46,360 Speaker 1: key driving force of the US economy, experts say the 703 00:38:46,400 --> 00:38:50,840 Speaker 1: capital isn't flowing toward the growth. According to the Latino 704 00:38:50,920 --> 00:38:55,120 Speaker 1: Business Action Network, Hispanic downed businesses have grown forty four 705 00:38:55,200 --> 00:38:58,080 Speaker 1: per cent in the last ten years, compared to just 706 00:38:58,200 --> 00:39:01,359 Speaker 1: a four percent for non Latino but less than two 707 00:39:01,400 --> 00:39:04,360 Speaker 1: percent of the available venture capital funding in the US 708 00:39:04,600 --> 00:39:07,400 Speaker 1: goes into this cohort. This is the best economy in 709 00:39:07,440 --> 00:39:11,080 Speaker 1: the world, the free enterprise system, but it largely excludes 710 00:39:11,520 --> 00:39:15,520 Speaker 1: small businesses and minority owned businesses even today. Rameiro Cavaso, 711 00:39:15,600 --> 00:39:18,920 Speaker 1: says the president and CEO of the United States Hispanic 712 00:39:19,040 --> 00:39:21,319 Speaker 1: Chamber of Commerce. Then, a big part of it, I 713 00:39:21,360 --> 00:39:25,480 Speaker 1: think it's just relationships. It's networks, you know, I hate 714 00:39:25,520 --> 00:39:28,359 Speaker 1: to say it, we're largely invisible. In order to make 715 00:39:28,360 --> 00:39:32,320 Speaker 1: those connections, Anna Veldez, president and CEO of the Latino 716 00:39:32,440 --> 00:39:35,960 Speaker 1: Donor Collaborative, says more vcs need to get out of 717 00:39:35,960 --> 00:39:38,960 Speaker 1: their comfort zone. You need to start reaching out to 718 00:39:39,080 --> 00:39:42,000 Speaker 1: places where you actually never reached. People that may not 719 00:39:42,320 --> 00:39:45,160 Speaker 1: be as well versed, that may not come from your environment, 720 00:39:45,360 --> 00:39:47,320 Speaker 1: that may not look like you, that may not talk 721 00:39:47,400 --> 00:39:49,640 Speaker 1: like you. But there are that are making a lot 722 00:39:49,680 --> 00:39:54,400 Speaker 1: of money. Anthony Alcasar is finding himself in the middle 723 00:39:54,400 --> 00:39:57,799 Speaker 1: of the struggle. His company, Mr. Tortilla is number one 724 00:39:57,840 --> 00:40:01,360 Speaker 1: on Amazon. They've expanded their product line and just opened 725 00:40:01,400 --> 00:40:06,040 Speaker 1: a second factory. My projections are thirty millions between three 726 00:40:06,360 --> 00:40:13,160 Speaker 1: sixty million for hundred million, and I can't get a 727 00:40:13,239 --> 00:40:16,600 Speaker 1: fair shake, he says. The offers he has received include 728 00:40:16,600 --> 00:40:19,200 Speaker 1: a majority stake in his business. We worked a whole 729 00:40:19,239 --> 00:40:22,120 Speaker 1: life for this, and so if I lose control ownership now, 730 00:40:22,280 --> 00:40:24,960 Speaker 1: I can't guarantee that they're going to focusing philosophies and 731 00:40:25,200 --> 00:40:27,799 Speaker 1: run our business the way we want to run it. 732 00:40:29,200 --> 00:40:34,440 Speaker 1: That's why Latino venture capitalists and banking and community lenders 733 00:40:34,480 --> 00:40:38,279 Speaker 1: and c DFIs community development finance institutions, we've got to 734 00:40:38,280 --> 00:40:41,560 Speaker 1: get them to step up. Latitude Ventures is doing just that. 735 00:40:42,040 --> 00:40:45,320 Speaker 1: The company recently launched a one hundred million dollar fund 736 00:40:45,600 --> 00:40:49,760 Speaker 1: focused on Latino founded early stage businesses. We're looking hard, 737 00:40:49,960 --> 00:40:53,320 Speaker 1: We're creating the pipeline. We're creating the visibility so that 738 00:40:53,440 --> 00:40:56,200 Speaker 1: any Latino and Latino that has been shut out that 739 00:40:56,280 --> 00:40:58,720 Speaker 1: they can come here and they're gonna get a fair look. 740 00:40:58,880 --> 00:41:01,960 Speaker 1: Company president, so all through he has his own prediction. 741 00:41:02,320 --> 00:41:04,800 Speaker 1: My bed is between now and the end of the decade, 742 00:41:05,120 --> 00:41:08,200 Speaker 1: a trillion dollars a capital should be flowing here so 743 00:41:08,239 --> 00:41:12,359 Speaker 1: that we can grow GDP at a highly competitive rate 744 00:41:12,680 --> 00:41:16,280 Speaker 1: versus doing it the same way. Valdez puts that growth 745 00:41:16,360 --> 00:41:21,400 Speaker 1: into perspective. If Latino's got the same proportion of credit 746 00:41:21,560 --> 00:41:24,920 Speaker 1: as whites are given, it would translate into adding three 747 00:41:25,000 --> 00:41:29,520 Speaker 1: point three trillion of revenue of companies in this country. 748 00:41:30,640 --> 00:41:33,480 Speaker 1: But it's not only venture capital funding. L B a 749 00:41:33,680 --> 00:41:36,880 Speaker 1: N reports the odds of loan approval from national banks 750 00:41:37,160 --> 00:41:41,600 Speaker 1: are sixty percent lower for Latino owned businesses. Industry leaders 751 00:41:41,600 --> 00:41:45,239 Speaker 1: say it comes down to diversification. It's a proportionate representation 752 00:41:45,280 --> 00:41:47,520 Speaker 1: at all levels in the bank, from the board all 753 00:41:47,560 --> 00:41:49,120 Speaker 1: the way to the C suite, all the way to 754 00:41:49,160 --> 00:41:52,240 Speaker 1: the executive branch, and then to the branches. Actress, singer 755 00:41:52,280 --> 00:41:56,120 Speaker 1: and entrepreneur Jennifer Lopez is looking to change the playing 756 00:41:56,200 --> 00:42:04,920 Speaker 1: field journey from the one. Lopez launched Limitless Labs to 757 00:42:05,000 --> 00:42:10,160 Speaker 1: raise funds for Latina entrepreneurs, including a partnership with Goldman Sachs, 758 00:42:10,160 --> 00:42:13,520 Speaker 1: and this past June, Lopez partnered with Gramina America to 759 00:42:13,600 --> 00:42:17,200 Speaker 1: help distribute fourteen billion dollars in loans to six hundred 760 00:42:17,239 --> 00:42:21,480 Speaker 1: thousand Latina business owners by the future of this economy 761 00:42:21,520 --> 00:42:25,960 Speaker 1: will depend on small businesses and Latino owned businesses because 762 00:42:26,560 --> 00:42:30,399 Speaker 1: of share demographics. According to the US Census Bureau, more 763 00:42:30,440 --> 00:42:35,520 Speaker 1: than half of the total US population growth between came 764 00:42:35,560 --> 00:42:39,960 Speaker 1: from Hispanics, and with Latino entrepreneurs starting small businesses faster 765 00:42:40,040 --> 00:42:42,880 Speaker 1: than the rest of the startup population, the rising tide 766 00:42:43,080 --> 00:42:46,480 Speaker 1: will lift all boats in New York. I'm Lisa Matteo, 767 00:42:46,719 --> 00:42:54,240 Speaker 1: Bloomberg Radio. All right, that's Bloomberge Business, corresponded Lisa Matteo. 768 00:42:54,360 --> 00:42:57,280 Speaker 1: She joins us now on our Bloomberg Interactive Broker studio. Lisa, 769 00:42:57,320 --> 00:43:01,520 Speaker 1: fascinating story here. I mean, you know, they're the Hispanic population. 770 00:43:01,560 --> 00:43:03,920 Speaker 1: I know a lot about it from an economic perspective. 771 00:43:03,960 --> 00:43:05,759 Speaker 1: Haven't done a lot of work with Univision over the years. 772 00:43:05,800 --> 00:43:09,640 Speaker 1: I know it's a fast growing, uh demographic um. But 773 00:43:09,800 --> 00:43:13,840 Speaker 1: access to capital has really been a challenge here. So historically, 774 00:43:13,880 --> 00:43:18,279 Speaker 1: how of Hispanic businesses kind of finance their businesses? Just bootstraps? 775 00:43:18,280 --> 00:43:21,320 Speaker 1: I guess yeah, bootstraps. They they relied on family and friends, 776 00:43:21,360 --> 00:43:23,759 Speaker 1: They've maxed out their credit cards, They've done things like 777 00:43:23,800 --> 00:43:27,720 Speaker 1: that home equity UM and they've tried those small community banks. 778 00:43:27,840 --> 00:43:30,640 Speaker 1: The problems that community banks are closing down and being 779 00:43:30,640 --> 00:43:33,839 Speaker 1: replaced by the national banks. And so Stanford University they 780 00:43:33,880 --> 00:43:37,440 Speaker 1: you know, they put out this annual report on Latin entrepreneurship. 781 00:43:37,640 --> 00:43:39,960 Speaker 1: They have one coming out actually next month, UM, and 782 00:43:39,960 --> 00:43:43,560 Speaker 1: they just show that latinos typically the trend is is 783 00:43:43,600 --> 00:43:46,520 Speaker 1: that their income is lower, so so their credit score 784 00:43:46,560 --> 00:43:48,840 Speaker 1: is lower. So what happens that they're paying higher interest 785 00:43:48,920 --> 00:43:51,400 Speaker 1: rates for these loans, are at being asked for collateral 786 00:43:51,840 --> 00:43:54,399 Speaker 1: UM and sometimes not being approved at all for them. 787 00:43:54,440 --> 00:43:56,520 Speaker 1: So it's kind of this struggle back and forth about 788 00:43:56,560 --> 00:43:58,960 Speaker 1: how they're going to get their business off the ground. 789 00:43:58,960 --> 00:44:01,200 Speaker 1: A lot of it is culture role to UM in 790 00:44:01,200 --> 00:44:04,520 Speaker 1: this spanic culture. Sometimes you know, you money is something 791 00:44:04,520 --> 00:44:06,359 Speaker 1: you don't talk about, you know, it's kind of under 792 00:44:06,400 --> 00:44:09,080 Speaker 1: the table, you know. And it's this it's this common 793 00:44:09,120 --> 00:44:12,280 Speaker 1: misconception that they say, you know, buddho cash pure cash, 794 00:44:12,320 --> 00:44:14,640 Speaker 1: like everything is cash. So it's now starting to come 795 00:44:14,640 --> 00:44:16,680 Speaker 1: around that they need more, which is why I mean 796 00:44:16,719 --> 00:44:19,239 Speaker 1: the credit scores can be lower just if you're not 797 00:44:19,320 --> 00:44:21,040 Speaker 1: involved in the system. So if you don't have a 798 00:44:21,080 --> 00:44:24,719 Speaker 1: bunch of credit cards, car loans. If you're not borrowing, 799 00:44:24,800 --> 00:44:26,440 Speaker 1: then you won't have a high grad I think it's 800 00:44:26,480 --> 00:44:31,480 Speaker 1: interesting because I think of the Latino community as and 801 00:44:31,520 --> 00:44:34,880 Speaker 1: I don't want to stereotype here as being honest, hard working, 802 00:44:35,120 --> 00:44:39,839 Speaker 1: and reliable. And I feel like that's the common perceptions 803 00:44:40,000 --> 00:44:44,759 Speaker 1: across maybe just my uh, you know, social circle. But um, 804 00:44:44,920 --> 00:44:48,480 Speaker 1: why wouldn't banks extend more credit to them knowing that 805 00:44:48,520 --> 00:44:52,080 Speaker 1: they're more likely to pay loans back than say, your 806 00:44:52,120 --> 00:44:54,719 Speaker 1: typical American white person in the middle of the country, 807 00:44:54,920 --> 00:44:58,040 Speaker 1: right right, And that's the thing that's the misconception is that, well, 808 00:44:58,080 --> 00:45:01,239 Speaker 1: they're not going to pay back. Um. And and apparently 809 00:45:01,320 --> 00:45:03,719 Speaker 1: that is that is incorrect. You know, there are a 810 00:45:03,719 --> 00:45:05,600 Speaker 1: lot of studies out there, but talking with different people 811 00:45:05,600 --> 00:45:08,120 Speaker 1: in the industry that Latinos are the number one people 812 00:45:08,120 --> 00:45:11,319 Speaker 1: who will pay that back because we're more appreciative to 813 00:45:11,320 --> 00:45:13,719 Speaker 1: be here. And I say, were my family from Puerto Rico. 814 00:45:13,800 --> 00:45:16,719 Speaker 1: So so it's a bit. So that's the credit side, 815 00:45:16,800 --> 00:45:19,120 Speaker 1: the death side. Um. But a lot of business obviously 816 00:45:19,120 --> 00:45:22,880 Speaker 1: need growth capital, equity capital, I know, I know, noticing 817 00:45:22,920 --> 00:45:24,759 Speaker 1: your report, you know there are some people trying to 818 00:45:24,800 --> 00:45:28,759 Speaker 1: really pull up some venture capital from private equity for latinos. 819 00:45:28,840 --> 00:45:32,080 Speaker 1: Is that something that's having some traction. It is starting 820 00:45:32,080 --> 00:45:33,920 Speaker 1: to get some traction. I mean you see more people 821 00:45:33,960 --> 00:45:36,680 Speaker 1: getting involved UM when you say we talk to Latitude 822 00:45:36,680 --> 00:45:39,080 Speaker 1: Adventures in the piece and they're getting backing from people 823 00:45:39,120 --> 00:45:41,879 Speaker 1: like JP Morgan Chase from Bank of America. Like they're 824 00:45:41,880 --> 00:45:46,399 Speaker 1: starting to get other people and corporations involved um in this. 825 00:45:46,760 --> 00:45:48,200 Speaker 1: And you see that a lot now with a lot 826 00:45:48,200 --> 00:45:51,120 Speaker 1: of foundations. Foundations are starting to come out. There's Hispanics 827 00:45:51,120 --> 00:45:54,400 Speaker 1: and philanthropies and they're starting to go to these corporations 828 00:45:54,440 --> 00:45:56,440 Speaker 1: get the money they need and give them out to 829 00:45:56,480 --> 00:45:58,960 Speaker 1: these communities. And you see it's starting to pick up. 830 00:45:59,000 --> 00:46:01,000 Speaker 1: I mean with the pandemic, you saw a lot of 831 00:46:01,080 --> 00:46:03,799 Speaker 1: P P P loans Uh that started to pick up. 832 00:46:03,840 --> 00:46:08,640 Speaker 1: You know in the s AB changed the rules there 833 00:46:08,840 --> 00:46:11,040 Speaker 1: um and they said they're more they want more minority 834 00:46:11,080 --> 00:46:12,960 Speaker 1: on businesses to be a part of it, and that 835 00:46:13,040 --> 00:46:16,120 Speaker 1: really helped out UM as well. Alright, great stuff, great report. 836 00:46:16,160 --> 00:46:19,120 Speaker 1: Lisa Matteo, business correspondent for Bloomberg Radio. Were so fortunate 837 00:46:19,480 --> 00:46:21,600 Speaker 1: that she's joined at Bloomberg. She has had a heck 838 00:46:21,640 --> 00:46:23,919 Speaker 1: of a career in New York City media I first 839 00:46:24,000 --> 00:46:26,600 Speaker 1: came to know where former reporter and anchored Picks eleven, 840 00:46:26,600 --> 00:46:29,879 Speaker 1: which is a great independent TV station in New York City. 841 00:46:29,920 --> 00:46:31,439 Speaker 1: She was there for for many years, so we're glad 842 00:46:31,440 --> 00:46:37,920 Speaker 1: she's at Bloomberg. Thanks for listening to the Bloomberg Markets podcast. 843 00:46:38,280 --> 00:46:41,520 Speaker 1: You can subscribe and listen to interviews with Apple Podcasts 844 00:46:41,640 --> 00:46:45,560 Speaker 1: or whatever podcast platform you prefer. I'm Matt Miller. I'm 845 00:46:45,560 --> 00:46:49,600 Speaker 1: on Twitter at Matt Miller three. Put on fall Sweeney 846 00:46:49,640 --> 00:46:52,279 Speaker 1: I'm on Twitter at pt Sweeney before the podcast. You 847 00:46:52,280 --> 00:46:54,800 Speaker 1: can always catch us worldwide at Bloomberg Radio