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 00:00:15,560 --> 00:00:18,479 Speaker 1: called Apple Podcast or wherever you listen to podcasts, and 6 00:00:18,480 --> 00:00:22,640 Speaker 1: at Bloomberg dot com Slash Podcast. Paul Matt Miller is 7 00:00:22,640 --> 00:00:25,480 Speaker 1: going to be really bummed he's not here today because 8 00:00:25,600 --> 00:00:27,320 Speaker 1: I know for a fact that he is a big 9 00:00:27,360 --> 00:00:29,720 Speaker 1: Call of Duty Slash video game fan, and we're going 10 00:00:29,800 --> 00:00:32,879 Speaker 1: to talk about video games. Now. Joining us as Adrian Montgomery. 11 00:00:32,920 --> 00:00:36,320 Speaker 1: He is CEO of Enthusiast Gaming, which is a gaming 12 00:00:36,320 --> 00:00:39,880 Speaker 1: company that is based in Toronto, Canada. Adrian, it's great 13 00:00:39,920 --> 00:00:41,400 Speaker 1: to talk to you, and I just want to talk 14 00:00:41,440 --> 00:00:44,440 Speaker 1: about the video gaming industry broadly because clearly it got 15 00:00:44,440 --> 00:00:47,320 Speaker 1: a big boost during the pandemic because, let's face it, 16 00:00:47,360 --> 00:00:49,440 Speaker 1: over the last year, there wasn't much else better to 17 00:00:49,479 --> 00:00:51,400 Speaker 1: do than sit on your couch and play video games. 18 00:00:51,479 --> 00:00:54,080 Speaker 1: Right now that the world is reopening and you can 19 00:00:54,120 --> 00:00:56,680 Speaker 1: go out to bars, you can travel, are we about 20 00:00:56,720 --> 00:01:02,360 Speaker 1: to see a significant pullback in demand? Uh? The short 21 00:01:02,360 --> 00:01:05,920 Speaker 1: answer to that question is no. Uh. And the good 22 00:01:05,920 --> 00:01:09,560 Speaker 1: news for people like me and companies like Enthusiast Gaming 23 00:01:09,760 --> 00:01:13,679 Speaker 1: is you needn't um believe me. Just ask any parents. 24 00:01:13,800 --> 00:01:17,880 Speaker 1: Ask any parents if their children's love of their smartphone 25 00:01:17,920 --> 00:01:21,240 Speaker 1: and love of their video games has anything to do 26 00:01:21,319 --> 00:01:24,200 Speaker 1: with the weather or anything to do with the pandemic, 27 00:01:24,280 --> 00:01:26,959 Speaker 1: And the answer is is ten times that attend. No. 28 00:01:27,520 --> 00:01:30,280 Speaker 1: This is a visceral connection that young people have with 29 00:01:30,400 --> 00:01:34,039 Speaker 1: video games. Um. It is their favorite sport, it is 30 00:01:34,080 --> 00:01:37,240 Speaker 1: their favorite pastime. It is how they connect with their friends, 31 00:01:37,720 --> 00:01:39,800 Speaker 1: it is how they spend their money, it's how they 32 00:01:39,840 --> 00:01:43,080 Speaker 1: spend their parents money. So um, yes, we saw a 33 00:01:43,160 --> 00:01:46,280 Speaker 1: surge during the pandemic, but but that is not going 34 00:01:46,319 --> 00:01:50,720 Speaker 1: to going to claw backwards. Adrian, give us a sense 35 00:01:50,760 --> 00:01:53,720 Speaker 1: of kind of the future as you see it of 36 00:01:53,920 --> 00:01:57,240 Speaker 1: video games, whether it's you know, the mobility of it, 37 00:01:57,320 --> 00:01:59,600 Speaker 1: kind of the platform agnostic kind of how do you 38 00:01:59,600 --> 00:02:05,200 Speaker 1: think about that? Well, first of all, the thing that 39 00:02:05,440 --> 00:02:09,359 Speaker 1: needs to be understood among people who perhaps didn't grow 40 00:02:09,440 --> 00:02:11,840 Speaker 1: up with video games is that video games is the 41 00:02:11,919 --> 00:02:16,799 Speaker 1: new social network. Yeah, you, you and me both video 42 00:02:16,840 --> 00:02:20,520 Speaker 1: games is the new social network. Young people are staying 43 00:02:20,520 --> 00:02:25,000 Speaker 1: in touch, making new friends, my CFO. He had two 44 00:02:25,000 --> 00:02:27,760 Speaker 1: people at his wedding last year he only ever met 45 00:02:28,040 --> 00:02:31,720 Speaker 1: over the Xbox console. This is this is real, This 46 00:02:31,760 --> 00:02:34,600 Speaker 1: is this is and and try telling him those relationships 47 00:02:34,880 --> 00:02:38,560 Speaker 1: aren't worthy of a wedding invitation. Um, this is how 48 00:02:38,720 --> 00:02:43,120 Speaker 1: people connect with each other. And so, as you know, 49 00:02:43,360 --> 00:02:46,079 Speaker 1: three out of four gen zears don't watch television, they 50 00:02:46,200 --> 00:02:50,040 Speaker 1: don't listen to the radio, they don't read things called newspapers. 51 00:02:50,040 --> 00:02:53,280 Speaker 1: But they they watch video games and they congregate in 52 00:02:53,440 --> 00:02:57,040 Speaker 1: communities to discuss them. And so as we move forward, 53 00:02:58,080 --> 00:03:01,320 Speaker 1: video games will be the nexus for fashion, for music, 54 00:03:02,320 --> 00:03:06,880 Speaker 1: for pop culture. Um, they're going to be pervasive for politics. 55 00:03:06,919 --> 00:03:14,839 Speaker 1: Adrian certainly m our company Enthusiast Gaming played UM an 56 00:03:14,880 --> 00:03:17,920 Speaker 1: interesting role with the Biden Harris campaign in the fall 57 00:03:17,960 --> 00:03:22,480 Speaker 1: of two thousand and twenty. Um, they had aggressively targeted 58 00:03:22,480 --> 00:03:26,400 Speaker 1: the gen Z vote. Um. Alongside them, you had you know, 59 00:03:26,639 --> 00:03:31,360 Speaker 1: Congresswoman AOC gaining lots of traction and attention by playing 60 00:03:31,440 --> 00:03:36,120 Speaker 1: video games with famous gamers. The Biden campaign took took 61 00:03:36,120 --> 00:03:40,520 Speaker 1: ads out in Animal Crossing and yes, seventy two hours 62 00:03:40,640 --> 00:03:43,560 Speaker 1: before the vote. Believe it or not, the Biden campaign 63 00:03:44,120 --> 00:03:47,520 Speaker 1: did a customized map in the game of Fortnite four 64 00:03:47,640 --> 00:03:49,720 Speaker 1: years ago, if you had extra money to burn for 65 00:03:50,280 --> 00:03:53,680 Speaker 1: four days before a vote, you'd take out an hour 66 00:03:53,760 --> 00:03:57,160 Speaker 1: of primetime on NBC. This time, they took over a 67 00:03:57,200 --> 00:04:00,200 Speaker 1: map in Fortnite, and I think that just shows you, um, 68 00:04:00,280 --> 00:04:03,280 Speaker 1: where this is going. So, Adrian, I'm looking at a 69 00:04:03,360 --> 00:04:05,920 Speaker 1: chart of your stock and again the symbol for your 70 00:04:05,960 --> 00:04:08,760 Speaker 1: company e g l X is the ticker kind of 71 00:04:08,800 --> 00:04:10,720 Speaker 1: over the trillion, twelve months, not much going on until 72 00:04:10,760 --> 00:04:12,280 Speaker 1: November and then it goes from you know, roughly a 73 00:04:12,320 --> 00:04:14,160 Speaker 1: dollar up to eight. Did you guys get caught up 74 00:04:14,200 --> 00:04:21,560 Speaker 1: in that meme trading kind of frenzy? I don't think so. Um, certainly, 75 00:04:22,360 --> 00:04:24,680 Speaker 1: much to artist's appointment, we don't seem to have a 76 00:04:24,680 --> 00:04:28,279 Speaker 1: whole lot of followers yet in those US based reddit forums, 77 00:04:28,360 --> 00:04:31,480 Speaker 1: like like the other memes stocks do. I think people 78 00:04:31,640 --> 00:04:34,880 Speaker 1: we were telling people for the longest time we have 79 00:04:35,040 --> 00:04:39,640 Speaker 1: three hundred million monthly visitors to our platform, um, and 80 00:04:39,680 --> 00:04:42,640 Speaker 1: I think at some point that started to register and 81 00:04:42,920 --> 00:04:46,560 Speaker 1: people started to understand the power and the rarity of 82 00:04:46,560 --> 00:04:51,120 Speaker 1: our platform. And then shortly thereafter, Enthusiast Gaming was added 83 00:04:51,120 --> 00:04:53,320 Speaker 1: to the list of the calm score one hundred, which 84 00:04:53,400 --> 00:04:56,680 Speaker 1: is the list of the hundred largest Internet properties in America. 85 00:04:57,279 --> 00:04:59,919 Speaker 1: And alongside Twitch, which is owned by Amazon, as you know, 86 00:05:00,080 --> 00:05:04,039 Speaker 1: it's it's the only gaming platform to be on that list. 87 00:05:04,080 --> 00:05:06,039 Speaker 1: So I think people kind of woke up and said, 88 00:05:06,360 --> 00:05:08,760 Speaker 1: maybe what these guys are telling us is is the 89 00:05:08,800 --> 00:05:11,960 Speaker 1: real deal. And of course last week you had that 90 00:05:12,000 --> 00:05:15,680 Speaker 1: share offering eight million shares price a little lower than 91 00:05:15,680 --> 00:05:17,599 Speaker 1: where your stockrustrating at the time. Do you plan to 92 00:05:17,640 --> 00:05:20,440 Speaker 1: continue to raise capital or issue shares in that way 93 00:05:20,600 --> 00:05:25,560 Speaker 1: going forward? Yeah, we see in front of us, we 94 00:05:25,640 --> 00:05:30,279 Speaker 1: see an incredible opportunity to aggregate and consolidate more and 95 00:05:30,320 --> 00:05:34,200 Speaker 1: more of these fan communities, the digital fan communities um 96 00:05:34,360 --> 00:05:37,359 Speaker 1: AND and fan communities in all shapes and sizes are 97 00:05:37,480 --> 00:05:39,280 Speaker 1: are going to be, in our opinion, are going to 98 00:05:39,360 --> 00:05:43,320 Speaker 1: be more valuable. Uh, certainly as as third party data 99 00:05:43,360 --> 00:05:47,160 Speaker 1: becomes harder and harder to access and privacy revolution uh 100 00:05:47,240 --> 00:05:50,280 Speaker 1: sweeps the Internet. And so we want to aggregate as 101 00:05:50,279 --> 00:05:53,279 Speaker 1: many of these fan communities and in many ways were 102 00:05:53,279 --> 00:05:56,800 Speaker 1: looked at because we're a gaming company as as an 103 00:05:56,800 --> 00:05:59,599 Speaker 1: acquirer of choice. So we want to press that advantage 104 00:06:00,160 --> 00:06:03,880 Speaker 1: um AND and continual access to capital from great shareholders. 105 00:06:04,040 --> 00:06:06,760 Speaker 1: Helps us do that, Adrian, give us a sense for 106 00:06:06,839 --> 00:06:10,279 Speaker 1: people don't know kind of how you guys generate revenue. 107 00:06:10,279 --> 00:06:12,200 Speaker 1: Is it advertising as it events? Is I know e 108 00:06:12,279 --> 00:06:14,200 Speaker 1: sports are going part of the business. Give us a 109 00:06:14,200 --> 00:06:19,200 Speaker 1: sense of how you guys at your company generate revenue. Sure. Well, again, 110 00:06:19,920 --> 00:06:23,040 Speaker 1: very difficult. Corporate America of the corporate world is pulling 111 00:06:23,040 --> 00:06:24,880 Speaker 1: their hair out trying to figure out how to get 112 00:06:24,920 --> 00:06:27,160 Speaker 1: in front of gen Z's and how to get gen 113 00:06:27,279 --> 00:06:29,680 Speaker 1: zs to pay attention to them. So when you when 114 00:06:29,720 --> 00:06:32,359 Speaker 1: you reach three million of them, sixty million in the 115 00:06:32,440 --> 00:06:36,000 Speaker 1: US alone. UM. We we sell a lot of advertising, 116 00:06:36,040 --> 00:06:39,440 Speaker 1: a lot of digital advertising UM. And we were encouraged 117 00:06:39,480 --> 00:06:41,760 Speaker 1: today to read in the journal that that's expected to 118 00:06:41,800 --> 00:06:45,359 Speaker 1: increase this year. So so that's a good sign. But 119 00:06:45,400 --> 00:06:48,440 Speaker 1: we sell a lot of advertising UM. And the other thing, 120 00:06:48,880 --> 00:06:50,800 Speaker 1: we're starting to sell more and more and more of 121 00:06:51,040 --> 00:06:55,480 Speaker 1: his subscriptions and freemium content. UM. We've built a business 122 00:06:55,560 --> 00:06:59,880 Speaker 1: around avid video gamers, and avid gamers will pay extra 123 00:07:00,720 --> 00:07:03,800 Speaker 1: for extra content, and so these premium offerings, we've seen 124 00:07:03,800 --> 00:07:08,400 Speaker 1: our subscribers double year over year UH, and we're looking 125 00:07:08,640 --> 00:07:13,640 Speaker 1: at more and more subscription packages to offer UH content 126 00:07:13,800 --> 00:07:18,320 Speaker 1: licensing is starting to become a significant growth area for us. 127 00:07:18,720 --> 00:07:21,520 Speaker 1: It seems every O T T platform in the world 128 00:07:21,560 --> 00:07:24,320 Speaker 1: wants more and more gaming content. So we're putting our 129 00:07:24,400 --> 00:07:28,600 Speaker 1: channel channels on SAM some of the smart TVs UM 130 00:07:28,680 --> 00:07:31,040 Speaker 1: and then we're going to migrate to e commerce and 131 00:07:31,080 --> 00:07:33,680 Speaker 1: social networking and all those sorts of things. Lots of 132 00:07:33,720 --> 00:07:37,280 Speaker 1: areas to grow. It's a fast growing segment of consumer 133 00:07:37,320 --> 00:07:41,680 Speaker 1: spending for Shore. Adrian Montgomery, CEO of Enthusiast Gaming, they 134 00:07:41,680 --> 00:07:45,920 Speaker 1: have the largest gaming media platform in North America. This 135 00:07:46,160 --> 00:07:53,320 Speaker 1: is Bloomberg. Let's dive into the high yield market. Ken Monahan, 136 00:07:53,400 --> 00:07:55,520 Speaker 1: He's co had a global high yield for a MUNDI 137 00:07:56,000 --> 00:08:00,120 Speaker 1: about two trillion dollars in assets under management. So they 138 00:08:00,120 --> 00:08:02,680 Speaker 1: do a treat or too, I think every day. Ken, 139 00:08:02,720 --> 00:08:04,320 Speaker 1: Thanks so much for joining us here. Looking at the 140 00:08:04,400 --> 00:08:07,080 Speaker 1: high old market, it's been a risk on market for 141 00:08:07,120 --> 00:08:10,640 Speaker 1: a long time. Is there any juice left there? Or 142 00:08:10,920 --> 00:08:12,960 Speaker 1: am I just clipping coupons on my high yield piece 143 00:08:12,960 --> 00:08:15,400 Speaker 1: of paper? You know, Paul, it's a good question. I 144 00:08:15,400 --> 00:08:17,880 Speaker 1: think the answer is you're right. Is it has been 145 00:08:17,920 --> 00:08:21,119 Speaker 1: a risk on market for a year plus now, after 146 00:08:21,280 --> 00:08:24,880 Speaker 1: obviously a big fade in uh In in March of 147 00:08:25,000 --> 00:08:28,720 Speaker 1: last year. UM, so we're up quite substantially and spreads 148 00:08:28,720 --> 00:08:32,040 Speaker 1: her back to pretty close to tight levels. UM. You know, 149 00:08:32,080 --> 00:08:33,680 Speaker 1: I think we think they can get a little tighter 150 00:08:33,720 --> 00:08:36,440 Speaker 1: from here, not dramatically, um, but they can still get 151 00:08:36,480 --> 00:08:38,840 Speaker 1: a little tighter from where they are UM. And I 152 00:08:38,880 --> 00:08:41,360 Speaker 1: think that there's a couple of reasons for that. In particular, 153 00:08:41,440 --> 00:08:44,600 Speaker 1: if you have to recognize that the marketplaces, even over 154 00:08:44,640 --> 00:08:47,920 Speaker 1: the last eighteen months, has become increasingly double B centric. 155 00:08:49,080 --> 00:08:51,360 Speaker 1: A lot of that came from downgrades, but the quality 156 00:08:51,360 --> 00:08:53,640 Speaker 1: of the markets improved, and that would argue that spreads 157 00:08:53,920 --> 00:08:57,600 Speaker 1: a little tighter, tighter than two basis points for high yield, 158 00:08:57,679 --> 00:09:00,360 Speaker 1: that that is something right there. But of worse, what 159 00:09:00,559 --> 00:09:03,520 Speaker 1: has driven spreads in part to be this tight from 160 00:09:04,000 --> 00:09:06,800 Speaker 1: where they blew out last March was the FED and 161 00:09:06,920 --> 00:09:08,800 Speaker 1: the fact that the FED said, hey, I got your back. 162 00:09:08,800 --> 00:09:12,600 Speaker 1: We're going to have this corporate credit facility that's unwinding. Now, 163 00:09:12,640 --> 00:09:16,040 Speaker 1: what's the impact of that. You know, I think that 164 00:09:16,200 --> 00:09:19,160 Speaker 1: the Fed's decision just stepped into the high yield market 165 00:09:19,559 --> 00:09:22,080 Speaker 1: was important at that point in time and obviously provided 166 00:09:22,080 --> 00:09:24,320 Speaker 1: a flora not only for high yield but for other 167 00:09:24,360 --> 00:09:27,320 Speaker 1: asset classes at the same time. Um, So that was 168 00:09:27,320 --> 00:09:29,600 Speaker 1: critical at that juncture, but I don't think it's been 169 00:09:29,600 --> 00:09:32,600 Speaker 1: critical for the last hand, for the months or even quarters. 170 00:09:32,640 --> 00:09:34,960 Speaker 1: I think that the economy is momentum on its own, 171 00:09:35,440 --> 00:09:39,839 Speaker 1: is supporting in the direction of spreads. So can again, 172 00:09:39,880 --> 00:09:43,400 Speaker 1: the FED has been supporting, you know, providing liquidity for 173 00:09:43,440 --> 00:09:47,560 Speaker 1: this marketplace, and I guess that's resulted in credit quality. 174 00:09:47,760 --> 00:09:50,840 Speaker 1: You know, it's been much better than I would have expected. Certainly, 175 00:09:51,000 --> 00:09:54,760 Speaker 1: you know, fifteen months into this pandemic, is it potentially 176 00:09:54,800 --> 00:09:58,920 Speaker 1: masking Is the FED support potentially masking credit quality issues 177 00:09:58,960 --> 00:10:01,080 Speaker 1: that the high market's going to have to deal with 178 00:10:01,120 --> 00:10:04,640 Speaker 1: at some point? You know, there's there's a there's an 179 00:10:04,679 --> 00:10:07,640 Speaker 1: ideal here there that's coming to marketplace that you kind 180 00:10:07,640 --> 00:10:10,120 Speaker 1: of raise your eyebrows at. Um. You can see that 181 00:10:10,240 --> 00:10:12,360 Speaker 1: there's maybe a little bit more coming to market and 182 00:10:12,400 --> 00:10:15,440 Speaker 1: triple cs, but it's on the margin. It's I would 183 00:10:15,480 --> 00:10:17,560 Speaker 1: tell you, by and large, most of the credit quality 184 00:10:17,600 --> 00:10:19,439 Speaker 1: of the things that have been coming to market are 185 00:10:19,440 --> 00:10:22,000 Speaker 1: pretty reasonable. Now, we could argue about pricing whether you're 186 00:10:22,040 --> 00:10:24,080 Speaker 1: getting paid for the risk, but in terms of the 187 00:10:24,080 --> 00:10:26,920 Speaker 1: credit risk itself, it's not all that it's not it's 188 00:10:26,960 --> 00:10:29,319 Speaker 1: not all that sour UM And the other thing I 189 00:10:29,360 --> 00:10:31,920 Speaker 1: think you need to look at is um and we've 190 00:10:31,920 --> 00:10:34,199 Speaker 1: had an explosion of issuance this year. We're running in 191 00:10:34,200 --> 00:10:37,520 Speaker 1: a record pace and a lot of that relates to refinancing. 192 00:10:37,600 --> 00:10:40,400 Speaker 1: So companies are making use of the low rates for 193 00:10:40,440 --> 00:10:43,560 Speaker 1: treasuries and then the low spreads for credit to to 194 00:10:43,640 --> 00:10:47,200 Speaker 1: refinance their debt, even refinancing their term loans. Yeah, and 195 00:10:47,240 --> 00:10:49,800 Speaker 1: just borrow because it's cheap to do so. So why not, 196 00:10:49,920 --> 00:10:54,079 Speaker 1: right exactly, you were talking about triple cs there in 197 00:10:54,080 --> 00:10:56,600 Speaker 1: the issue as we've seen, but we've also seen outperformance 198 00:10:56,679 --> 00:10:58,600 Speaker 1: in that risky is debt. What do you chalk that 199 00:10:58,679 --> 00:11:01,000 Speaker 1: up to? Way, I like to think if you look 200 00:11:01,040 --> 00:11:03,360 Speaker 1: at it was obviously on its on its rear end 201 00:11:03,480 --> 00:11:06,480 Speaker 1: last year and particular in the first quarter and to 202 00:11:06,520 --> 00:11:08,480 Speaker 1: a certain extent in the second quarter as well, so 203 00:11:08,520 --> 00:11:11,280 Speaker 1: I think it's a recovery from that. In addition, I 204 00:11:11,320 --> 00:11:15,360 Speaker 1: think that there's been a level of of cleansing that's 205 00:11:15,400 --> 00:11:18,080 Speaker 1: taken place in the triple V space, particularly if you 206 00:11:18,120 --> 00:11:20,520 Speaker 1: look at energy um SO, a lot of the more 207 00:11:20,600 --> 00:11:24,559 Speaker 1: problematic companies in the energy sector UM filed last year 208 00:11:24,600 --> 00:11:27,440 Speaker 1: and I think so that cleansing process really allowed spreads 209 00:11:27,480 --> 00:11:32,160 Speaker 1: to tighten and gave the triple sea markets winded. It's 210 00:11:32,200 --> 00:11:35,480 Speaker 1: back can talk to us about the funds flows into 211 00:11:35,520 --> 00:11:38,640 Speaker 1: the high yield space. Our investors still keen that they 212 00:11:38,760 --> 00:11:41,080 Speaker 1: can get some return in hiotas or is money going 213 00:11:41,280 --> 00:11:45,000 Speaker 1: perhaps even farther out on the re spectrum. Well, you know, 214 00:11:45,040 --> 00:11:47,040 Speaker 1: that's interesting to look at because if you look at 215 00:11:47,080 --> 00:11:49,560 Speaker 1: the high yield marketplace, you would see then as it 216 00:11:49,559 --> 00:11:51,800 Speaker 1: relates to mutual funds, which is let's say about a 217 00:11:51,880 --> 00:11:54,439 Speaker 1: quarter of the market high yield funds, whether you're looking 218 00:11:54,480 --> 00:11:57,679 Speaker 1: at actively managed ones which we're focused on, or ets, 219 00:11:57,760 --> 00:12:00,880 Speaker 1: there's been outflows, um, not in warm as outflows, but 220 00:12:00,920 --> 00:12:03,640 Speaker 1: there's been outlaws pretty much eaching every week this year. 221 00:12:04,200 --> 00:12:08,440 Speaker 1: Um and uh it amounts to not insignificant amount. But 222 00:12:09,000 --> 00:12:11,240 Speaker 1: I would argue if you look what's happening on the 223 00:12:11,240 --> 00:12:14,120 Speaker 1: other side, is it's clear that there are other buyers 224 00:12:14,160 --> 00:12:16,600 Speaker 1: in the market. So who's buying I think that their 225 00:12:16,640 --> 00:12:19,839 Speaker 1: crossover investors in particular that are coming in and that's 226 00:12:19,880 --> 00:12:22,240 Speaker 1: really been the big support of the market. And I 227 00:12:22,280 --> 00:12:24,120 Speaker 1: think the reason for that is if you look at 228 00:12:24,120 --> 00:12:27,120 Speaker 1: where triple bees are. They're trading at very tight levels. 229 00:12:27,280 --> 00:12:30,199 Speaker 1: And if you look at the spread relationship between triple 230 00:12:30,240 --> 00:12:33,280 Speaker 1: bes and double bes in particular, those are much closer 231 00:12:33,320 --> 00:12:36,360 Speaker 1: to historic averages than they are historic tights, and I 232 00:12:36,360 --> 00:12:38,840 Speaker 1: think that that's been very supportive of flows. Can we 233 00:12:38,880 --> 00:12:41,160 Speaker 1: only have about thirty seconds left, but if we get 234 00:12:41,200 --> 00:12:43,200 Speaker 1: a hawkish surprise from the Fed on Wednesday, what's the 235 00:12:43,200 --> 00:12:48,320 Speaker 1: read through to credit? Well, let's let's recognize that, you know, 236 00:12:48,400 --> 00:12:51,160 Speaker 1: the the on the high yill side, we're talking about 237 00:12:51,280 --> 00:12:53,240 Speaker 1: bonds with a duration that's half of that of an 238 00:12:53,240 --> 00:12:57,440 Speaker 1: investment grade, So does it not um the investment grade 239 00:12:57,440 --> 00:13:00,160 Speaker 1: market on its rear end? Potentially it has much more 240 00:13:00,200 --> 00:13:02,880 Speaker 1: negative impact though on i G. Than it does on 241 00:13:03,000 --> 00:13:05,080 Speaker 1: high yields. So that I think that that's our viue 242 00:13:05,120 --> 00:13:07,520 Speaker 1: as to what moment if that in fact happens. That's 243 00:13:07,640 --> 00:13:11,560 Speaker 1: very ratrically all right, Ken, Thanks, We appreciate you coming 244 00:13:11,600 --> 00:13:13,719 Speaker 1: on as always giving us the latest on the high 245 00:13:13,760 --> 00:13:16,480 Speaker 1: yield market. Ken Monahan, co head of Global high Yield 246 00:13:16,520 --> 00:13:19,800 Speaker 1: at a mundy U s Uh, that's interesting question because 247 00:13:19,800 --> 00:13:22,000 Speaker 1: we're gonna have you know, is a market you think 248 00:13:22,000 --> 00:13:24,800 Speaker 1: expecting anything like that? It's not priced for it right now, 249 00:13:25,080 --> 00:13:26,880 Speaker 1: I'm looking at a ten year yield at one point 250 00:13:26,920 --> 00:13:29,640 Speaker 1: for eight percent. That to me looks like it's expecting 251 00:13:29,640 --> 00:13:32,600 Speaker 1: a devish. That's right, right, that would be consistent what 252 00:13:32,679 --> 00:13:38,520 Speaker 1: I guess the rhetoric we're certainly getting from the FED historically. Well, 253 00:13:38,600 --> 00:13:42,400 Speaker 1: during the pandemic, it just seems like we're all buying 254 00:13:42,600 --> 00:13:46,120 Speaker 1: more online Amazon boxes. As far as the hi can see. 255 00:13:46,480 --> 00:13:50,120 Speaker 1: You see the Amazon Prime trucks all over the place. Um, 256 00:13:50,160 --> 00:13:52,240 Speaker 1: but that raises the issue not just for Amazon, but 257 00:13:52,320 --> 00:13:55,800 Speaker 1: for all e tailing, and that's counterfeit. It's been big 258 00:13:55,800 --> 00:13:58,800 Speaker 1: in the luxury market. What's happened here during the pandemic? 259 00:13:59,200 --> 00:14:02,240 Speaker 1: Ronya set Home, she's managing partner I've set Home Law Group. 260 00:14:02,480 --> 00:14:06,040 Speaker 1: She joins us here. Ronnie, thanks so much for joining us, UM, 261 00:14:06,320 --> 00:14:10,320 Speaker 1: talk to us about counterfeit luxury goods. I know it's 262 00:14:10,360 --> 00:14:13,959 Speaker 1: always been an issue for e commerce. Kind of where 263 00:14:13,960 --> 00:14:17,360 Speaker 1: are we today? First? Thank you so much for having 264 00:14:17,360 --> 00:14:21,280 Speaker 1: me on the show today. Well, the luxury space is 265 00:14:21,520 --> 00:14:26,239 Speaker 1: quite fascinating when it comes to counterfeiting, particularly on Amazon. 266 00:14:26,640 --> 00:14:31,360 Speaker 1: And what I find of particular interest is that the 267 00:14:31,480 --> 00:14:35,920 Speaker 1: counterfeit items on Amazon are sometimes double the M S 268 00:14:36,040 --> 00:14:38,840 Speaker 1: R P. In the store. So I just think that 269 00:14:39,480 --> 00:14:44,720 Speaker 1: UH is very fascinating and someone should study why individuals 270 00:14:44,800 --> 00:14:50,720 Speaker 1: are purchasing items for more money on Amazon. Is it 271 00:14:50,880 --> 00:14:55,080 Speaker 1: just convenience or is it something else? I have no idea. Well, 272 00:14:55,120 --> 00:14:57,920 Speaker 1: I Ranya must summit. I am a convenience shopper and 273 00:14:57,960 --> 00:15:01,200 Speaker 1: I probably get six Amazon packages a week. How would 274 00:15:01,240 --> 00:15:05,120 Speaker 1: I know if I'm buying something counterfeit? That is a 275 00:15:05,200 --> 00:15:08,240 Speaker 1: great question. So there are two things that consumers can do. 276 00:15:08,520 --> 00:15:12,520 Speaker 1: And I do purchase some items on Amazon, but not 277 00:15:12,640 --> 00:15:15,240 Speaker 1: all items on Amazon. And this is what I do. 278 00:15:15,640 --> 00:15:18,040 Speaker 1: Whether I want to buy a luxury good or I 279 00:15:18,080 --> 00:15:20,800 Speaker 1: want to buy a consumer good like christ tooth taste 280 00:15:20,880 --> 00:15:23,320 Speaker 1: or whichever tooth taste you like. The first thing I 281 00:15:23,360 --> 00:15:27,920 Speaker 1: do is determine whether or not those items are actually 282 00:15:28,000 --> 00:15:32,840 Speaker 1: for sale on the Amazon site. UM with the permission 283 00:15:32,880 --> 00:15:37,400 Speaker 1: of the brand. At the bottom of several UM brand 284 00:15:37,440 --> 00:15:42,040 Speaker 1: name websites, there's something called stockists or find us, and 285 00:15:42,120 --> 00:15:45,400 Speaker 1: it'll lift it out for you. So, for example, HP, 286 00:15:46,080 --> 00:15:49,480 Speaker 1: very well known brand, if you go to the HV website, 287 00:15:49,480 --> 00:15:52,600 Speaker 1: it does tell you that there are real Amazon products, 288 00:15:52,920 --> 00:15:56,320 Speaker 1: real products of Amazon Amazon, and that might give you 289 00:15:56,760 --> 00:16:00,240 Speaker 1: some comfort, and it should but the biggest problem them 290 00:16:00,280 --> 00:16:03,520 Speaker 1: with buying anything on Amazon is that if it is 291 00:16:03,560 --> 00:16:07,640 Speaker 1: fulfilled by Amazon, it means that the legitimate product is 292 00:16:07,640 --> 00:16:12,280 Speaker 1: sitting in a warehouse with fake products, and you don't 293 00:16:12,280 --> 00:16:15,960 Speaker 1: know which product you're going to get. Even worse, when 294 00:16:16,000 --> 00:16:19,640 Speaker 1: you see, uh the reviews for the product, it's for 295 00:16:19,720 --> 00:16:22,440 Speaker 1: the product, not for the product from this particular seller. 296 00:16:22,600 --> 00:16:27,000 Speaker 1: So consumers are at a disadvantage. What I customarily tell 297 00:16:27,080 --> 00:16:30,480 Speaker 1: people is, first check the price doesn't make sense in 298 00:16:30,560 --> 00:16:35,280 Speaker 1: comparison to the brand name that you know. Secondarily, you know, 299 00:16:35,400 --> 00:16:38,680 Speaker 1: check the reviews. If everyone loves the review and it's 300 00:16:38,720 --> 00:16:42,760 Speaker 1: thousands of people, you're probably buying an authentic product. And 301 00:16:42,800 --> 00:16:46,880 Speaker 1: then third you know, ask yourself, does it make sense 302 00:16:46,920 --> 00:16:52,600 Speaker 1: that this product would be on Amazon? So run you. 303 00:16:52,680 --> 00:16:57,440 Speaker 1: When someone finds themselves the victim of counterfeit, what recourse 304 00:16:57,440 --> 00:17:02,800 Speaker 1: do they have to say Amazon? Well, Amazon does have 305 00:17:03,040 --> 00:17:07,639 Speaker 1: a very generous refund policy, and I think that's what 306 00:17:07,720 --> 00:17:10,800 Speaker 1: they've been hanging their hat on as that term is 307 00:17:10,920 --> 00:17:14,600 Speaker 1: used to them. I think, again, this is just an 308 00:17:14,680 --> 00:17:16,880 Speaker 1: educated guess. If you can get a refund, the really 309 00:17:17,040 --> 00:17:19,720 Speaker 1: really isn't that much of an issue. But the problem 310 00:17:19,840 --> 00:17:22,320 Speaker 1: is that some of the items that you're purchasing, not 311 00:17:22,440 --> 00:17:26,480 Speaker 1: the luxury ones, but the consumer good products. Some of 312 00:17:26,520 --> 00:17:29,840 Speaker 1: them can harm you, and the refund may not be enough, 313 00:17:30,560 --> 00:17:33,080 Speaker 1: you know, depending on what it is you're suffering from 314 00:17:33,080 --> 00:17:36,480 Speaker 1: the purchase of the counterfeit good So it's just refunding 315 00:17:36,560 --> 00:17:39,119 Speaker 1: isn't enough. How can Amazon get a better handle on this? 316 00:17:39,200 --> 00:17:42,720 Speaker 1: What do they need to do? I think it would 317 00:17:42,760 --> 00:17:45,639 Speaker 1: be a very helpful if there was an easy way 318 00:17:45,680 --> 00:17:50,280 Speaker 1: for consumers to report UH fake goods or counterfeit goods 319 00:17:50,320 --> 00:17:53,720 Speaker 1: to Amazon. Right now, they are listening to the brands, 320 00:17:53,760 --> 00:17:55,760 Speaker 1: which means you would have to call the brand and 321 00:17:55,800 --> 00:17:58,040 Speaker 1: you'd have to tell the brand as a consumer, oh, 322 00:17:58,119 --> 00:18:01,200 Speaker 1: I purchased a fraudulent item from Ammazon, and then they 323 00:18:01,240 --> 00:18:03,360 Speaker 1: need to investigate, and then the brand needs to work 324 00:18:03,359 --> 00:18:07,080 Speaker 1: with Amazon. That UH takes a lot of effort. It 325 00:18:07,080 --> 00:18:09,720 Speaker 1: would be great if there was a mechanism for consumers 326 00:18:09,760 --> 00:18:13,000 Speaker 1: to go directly to Amazon and have their voice heard. That's, 327 00:18:13,080 --> 00:18:15,520 Speaker 1: you know, the first thing. The second thing would be 328 00:18:15,880 --> 00:18:18,600 Speaker 1: UH allow us to purchase items that are not just 329 00:18:18,680 --> 00:18:23,480 Speaker 1: fulfilled by Amazon. So we know if ABC seller is 330 00:18:23,480 --> 00:18:26,040 Speaker 1: selling this, and we've had you know, good experience with 331 00:18:26,080 --> 00:18:30,199 Speaker 1: ABC seller, we know, we're getting ABC sellers product as 332 00:18:30,200 --> 00:18:34,000 Speaker 1: opposed to a random product in the warehouse. So ron 333 00:18:34,000 --> 00:18:35,320 Speaker 1: you just give us a sense of Like on the 334 00:18:35,440 --> 00:18:37,960 Speaker 1: luxury side, I'm always shocked at people would buy a 335 00:18:38,040 --> 00:18:40,720 Speaker 1: luxury item, you know, worth thousands or tens of thousands 336 00:18:40,720 --> 00:18:43,399 Speaker 1: of dollars without actually seeing it. But is this a 337 00:18:43,440 --> 00:18:46,800 Speaker 1: growing part of e commerce? I think that it is, 338 00:18:47,160 --> 00:18:49,800 Speaker 1: And I think what's happening is that some of the 339 00:18:49,920 --> 00:18:53,680 Speaker 1: luxury brands are so well known that the consumer likely 340 00:18:53,800 --> 00:18:57,359 Speaker 1: already saw the product at some point in time, and 341 00:18:57,560 --> 00:19:00,320 Speaker 1: they remember it and they're still pining for it, and 342 00:19:00,359 --> 00:19:03,480 Speaker 1: then there it is on Amazon and they purchase it. 343 00:19:03,520 --> 00:19:08,960 Speaker 1: There's no need to to look any further. Fascinating story, Ronna, 344 00:19:09,000 --> 00:19:11,439 Speaker 1: thanks so much for joining us. Really appreciate that this 345 00:19:11,520 --> 00:19:14,800 Speaker 1: is a I guess a big issue, Kaylene. People spend 346 00:19:14,800 --> 00:19:17,879 Speaker 1: more and more time online shopping online, and you know 347 00:19:18,080 --> 00:19:20,720 Speaker 1: online has just grown dramatically over the past fifteen months, 348 00:19:20,760 --> 00:19:23,840 Speaker 1: kind of pool maybe three years of growth forward that 349 00:19:23,920 --> 00:19:25,760 Speaker 1: this can be a bigger issue. Yeah. Now I'm going 350 00:19:25,800 --> 00:19:28,000 Speaker 1: to go home and check all the products on Amazon 351 00:19:28,119 --> 00:19:31,200 Speaker 1: over the last six months or so exactly, Ronne said, 352 00:19:31,200 --> 00:19:33,719 Speaker 1: Home managing partner for said, Home Wall Group joining us there, 353 00:19:33,720 --> 00:19:36,919 Speaker 1: and we appreciate that. Again, Uh, we've seen this at 354 00:19:37,000 --> 00:19:40,000 Speaker 1: you know, the e commerce traffic just skyrocket and as 355 00:19:40,040 --> 00:19:42,840 Speaker 1: everybody when they were forced to stay at home, buying 356 00:19:42,920 --> 00:19:46,320 Speaker 1: more and more uh products, different types of products than 357 00:19:46,520 --> 00:19:49,359 Speaker 1: perhaps they were comfortable buying in the past, all because 358 00:19:49,480 --> 00:19:52,840 Speaker 1: of the pandemic, but a big change to retail. We'll 359 00:19:52,880 --> 00:19:59,880 Speaker 1: have more coming up. This is Bloomberg when the pandemic hit. 360 00:20:00,040 --> 00:20:01,960 Speaker 1: One of the areas of the economy that was hit, 361 00:20:02,600 --> 00:20:06,719 Speaker 1: you know, probably just so hard and so brutally was 362 00:20:06,880 --> 00:20:09,040 Speaker 1: the real estate market what we had. Obviously, if we 363 00:20:09,080 --> 00:20:13,159 Speaker 1: can all remember back, people leaving cities looking for the burbs, 364 00:20:13,200 --> 00:20:16,320 Speaker 1: looking for more room, uh, looking just to get away 365 00:20:16,320 --> 00:20:19,600 Speaker 1: from the congestion and the uh, you know, the density 366 00:20:19,680 --> 00:20:22,480 Speaker 1: of the cities. The question is how long term uh 367 00:20:22,600 --> 00:20:24,679 Speaker 1: is that. Let's check in with Brad Dillman. He's a 368 00:20:24,720 --> 00:20:28,080 Speaker 1: chief economist for the real estate firm Courtland. Brad, thanks 369 00:20:28,080 --> 00:20:30,200 Speaker 1: so much for joining us here. Again here in New 370 00:20:30,280 --> 00:20:33,520 Speaker 1: York City, we saw it firsthand, people leaving uh the 371 00:20:33,640 --> 00:20:38,320 Speaker 1: city for the suburbs. Rents plunged. If you want to 372 00:20:38,320 --> 00:20:41,680 Speaker 1: get an apartment in the city, it was a good time, uh, 373 00:20:41,720 --> 00:20:43,639 Speaker 1: to be a renter. Give us a sense of how 374 00:20:43,720 --> 00:20:46,560 Speaker 1: you think this market is going to play out as 375 00:20:46,560 --> 00:20:50,800 Speaker 1: we come out to the other side of this pandemic. Yeah, definitely, 376 00:20:50,840 --> 00:20:52,480 Speaker 1: and I'm glad to be here. You know. I think 377 00:20:52,520 --> 00:20:54,320 Speaker 1: we need to first recognize that this is a trend 378 00:20:54,320 --> 00:20:57,399 Speaker 1: that was occurring prior to the pandemic. The pandemic, of course, 379 00:20:57,440 --> 00:21:00,520 Speaker 1: accentuated it. It is something that we see across markets. 380 00:21:00,560 --> 00:21:03,960 Speaker 1: We see a migration from more expensive markets too cheaper 381 00:21:04,000 --> 00:21:06,480 Speaker 1: metropolitan areas, and then also within these markets from the 382 00:21:06,520 --> 00:21:09,560 Speaker 1: core out to the geographic periphery. So in many ways, 383 00:21:09,600 --> 00:21:12,359 Speaker 1: it's trends been underway since two thousand twelve. If you 384 00:21:12,440 --> 00:21:15,000 Speaker 1: look at pricing, it really is kind of compressing across 385 00:21:15,000 --> 00:21:16,879 Speaker 1: the spectrum in some ways. And I mean that between 386 00:21:16,920 --> 00:21:20,040 Speaker 1: markets and also within markets. So when we look ahead, 387 00:21:20,080 --> 00:21:21,440 Speaker 1: some people would say, hey, you know, maybe this is 388 00:21:21,480 --> 00:21:23,680 Speaker 1: gonna reverse. People are going to come back into the city. 389 00:21:24,280 --> 00:21:27,040 Speaker 1: The reality is there doesn't seem to be that much supply. 390 00:21:27,520 --> 00:21:29,919 Speaker 1: The bulk of multifamily supply, as an example, is in 391 00:21:29,960 --> 00:21:31,359 Speaker 1: the urban core. But if you look at it in 392 00:21:31,480 --> 00:21:34,080 Speaker 1: terms of units, it's really not enough to really move 393 00:21:34,119 --> 00:21:36,720 Speaker 1: the needle in an under house market. Again, You've got 394 00:21:36,800 --> 00:21:38,760 Speaker 1: estimates that the US is under built to the tune 395 00:21:38,800 --> 00:21:41,320 Speaker 1: of about a million housing units are more? Are we 396 00:21:41,359 --> 00:21:43,919 Speaker 1: going to see that supply and demand gap narrow at 397 00:21:43,960 --> 00:21:47,159 Speaker 1: any point? I think we will if we were to. 398 00:21:47,240 --> 00:21:49,640 Speaker 1: If we look at our gauges of of cumulative under 399 00:21:49,680 --> 00:21:51,560 Speaker 1: supply right now, it does look like we hit peak 400 00:21:51,640 --> 00:21:53,679 Speaker 1: under supply a few years ago. And then as we 401 00:21:53,720 --> 00:21:56,760 Speaker 1: see these excellent prints and things like housing starts, uh, 402 00:21:56,760 --> 00:21:58,760 Speaker 1: you know, particularly on the single family side, that this 403 00:21:58,840 --> 00:22:02,000 Speaker 1: country's housing situation and will slowly right size from a 404 00:22:02,040 --> 00:22:05,960 Speaker 1: supply demand perspective. You know. One of the things Brad, 405 00:22:06,040 --> 00:22:08,040 Speaker 1: that I think I've learned over the last several years, 406 00:22:08,040 --> 00:22:11,680 Speaker 1: and we talked to folks in the home business, is yes, 407 00:22:11,720 --> 00:22:13,639 Speaker 1: new homes are getting built, but they're not getting built 408 00:22:13,760 --> 00:22:17,000 Speaker 1: for the entry buyer, the first time buyer, and that's 409 00:22:17,040 --> 00:22:20,399 Speaker 1: really where the supply issues are. Is that changing at 410 00:22:20,400 --> 00:22:23,000 Speaker 1: all or a builders still going for them the higher 411 00:22:23,040 --> 00:22:27,639 Speaker 1: margin McMansion. Well, builders are always going to switch their strategies, 412 00:22:27,720 --> 00:22:30,080 Speaker 1: you know, based on on short term fluctuations. Believe it 413 00:22:30,200 --> 00:22:31,600 Speaker 1: or not. They are actually little more nimble than we 414 00:22:31,640 --> 00:22:34,720 Speaker 1: would think. I think if We're looking at millennials, for example, 415 00:22:34,760 --> 00:22:36,520 Speaker 1: and just the age that they already are with the 416 00:22:36,600 --> 00:22:39,720 Speaker 1: vast bulk over thirty. Um, you know, the buyer the 417 00:22:39,720 --> 00:22:41,800 Speaker 1: the home builders are going to have to shift their 418 00:22:41,840 --> 00:22:45,440 Speaker 1: strategy at different times based on where where not only 419 00:22:45,480 --> 00:22:48,080 Speaker 1: costs are coming in, but also where mortgage rates are 420 00:22:48,080 --> 00:22:51,280 Speaker 1: going for where and when these millennials are able to buy. 421 00:22:51,600 --> 00:22:52,959 Speaker 1: So I don't know if I would call it make 422 00:22:52,960 --> 00:22:54,879 Speaker 1: a systematic call on that kind of shift. I do 423 00:22:54,920 --> 00:22:58,240 Speaker 1: think you look at smaller oscillations that define that kind 424 00:22:58,280 --> 00:23:01,439 Speaker 1: of uh strategy on the part of homebuilders. Yeah, I'm 425 00:23:01,480 --> 00:23:03,840 Speaker 1: in here guiltily raising my hand as a millennial who 426 00:23:03,880 --> 00:23:06,760 Speaker 1: is nowhere close to buying my first home. So how 427 00:23:06,800 --> 00:23:08,919 Speaker 1: if I'm a builder, how would you play me? Do 428 00:23:09,000 --> 00:23:12,720 Speaker 1: I need to build for renters? So you do have 429 00:23:12,760 --> 00:23:15,840 Speaker 1: home builders building four renters. This was really an opportunity 430 00:23:15,840 --> 00:23:18,760 Speaker 1: that emerged called it five six years ago, but really 431 00:23:18,760 --> 00:23:21,960 Speaker 1: only got steam in the last two years. And uh, 432 00:23:22,080 --> 00:23:23,919 Speaker 1: I do think there's a strategy there for home builders. 433 00:23:23,920 --> 00:23:25,720 Speaker 1: But I think what they're gonna find is that rather 434 00:23:25,760 --> 00:23:28,480 Speaker 1: than building single filming attached you're gonna slowly actually migrate 435 00:23:28,520 --> 00:23:32,040 Speaker 1: more towards a traditional multi family structure. That's to say, 436 00:23:32,359 --> 00:23:35,440 Speaker 1: something like a town home style community where you can 437 00:23:35,440 --> 00:23:38,320 Speaker 1: fit more housing units onto the same into the same 438 00:23:38,320 --> 00:23:40,920 Speaker 1: geographic area of the community. I do think there's a 439 00:23:40,960 --> 00:23:42,679 Speaker 1: strategy there. I think we're going to see more of it. 440 00:23:43,119 --> 00:23:44,919 Speaker 1: At the same time, when you have really low mortgage 441 00:23:44,960 --> 00:23:47,560 Speaker 1: rates like we do now, we've had very low mortgage 442 00:23:47,600 --> 00:23:49,600 Speaker 1: rates the last two years. It's priced off of a 443 00:23:49,600 --> 00:23:52,400 Speaker 1: ten year Treasury rate that's negative and real terms, there 444 00:23:52,520 --> 00:23:56,080 Speaker 1: is the occasional opportunity to deliver in scale to first 445 00:23:56,080 --> 00:23:58,800 Speaker 1: time home buyers or just you know, new buyers in general. 446 00:23:59,520 --> 00:24:01,679 Speaker 1: You know, out here in the New York metro market, 447 00:24:01,720 --> 00:24:05,960 Speaker 1: the story is Florida, Florida, Florida. It seems like everybody 448 00:24:06,040 --> 00:24:08,640 Speaker 1: is leaving for Florida. What are some of the other 449 00:24:09,480 --> 00:24:11,840 Speaker 1: I guess hot areas of the country that you're seeing 450 00:24:11,840 --> 00:24:15,720 Speaker 1: in terms of demand both for rentals and ownership. Yeah, 451 00:24:15,800 --> 00:24:19,119 Speaker 1: Florida flags well for US UM also. But you know, 452 00:24:19,160 --> 00:24:21,200 Speaker 1: an area that's been a little bit overlooked has actually 453 00:24:21,240 --> 00:24:24,600 Speaker 1: been the Northwest, and not just the Seattle Cascadia, but 454 00:24:24,680 --> 00:24:29,200 Speaker 1: really the peripheral northwest Idaho. So you've got Spokane, Washington, 455 00:24:29,240 --> 00:24:32,000 Speaker 1: and Eastern Washington, You've got Boise. These are markets that 456 00:24:32,040 --> 00:24:34,200 Speaker 1: are looking really attractive right now. So I think we're 457 00:24:34,200 --> 00:24:35,960 Speaker 1: gonna see a little bit more focused on that area. 458 00:24:36,200 --> 00:24:38,600 Speaker 1: I do know that there's some smaller homebuilders really focusing 459 00:24:38,640 --> 00:24:40,919 Speaker 1: on places like Cort Lane. Uh. And of course these 460 00:24:40,960 --> 00:24:44,399 Speaker 1: areas are supported by excellent migration out of California. But 461 00:24:44,440 --> 00:24:47,520 Speaker 1: if we get that migration and more people are going there, 462 00:24:47,560 --> 00:24:49,600 Speaker 1: how long is the cost of living that makes it 463 00:24:49,640 --> 00:24:54,120 Speaker 1: so attractive actually going to stay relatively lower. That's exactly 464 00:24:54,119 --> 00:24:57,120 Speaker 1: the point. It really is converging very quickly. If you're 465 00:24:57,119 --> 00:24:59,560 Speaker 1: a local in those markets. This is in many respects 466 00:24:59,600 --> 00:25:01,960 Speaker 1: that does us or four years as people bring kind 467 00:25:02,000 --> 00:25:05,440 Speaker 1: of California purchasing power, you know to Boise, Idaho, it's 468 00:25:05,440 --> 00:25:07,320 Speaker 1: a it's a bit tough tough if you've been, you know, 469 00:25:07,400 --> 00:25:09,639 Speaker 1: living and working in Boise on a Boise income and 470 00:25:09,680 --> 00:25:12,960 Speaker 1: saving a Boise rates. So we don't know. I think 471 00:25:13,000 --> 00:25:15,359 Speaker 1: that the clearest indication that we do have is just 472 00:25:15,400 --> 00:25:17,560 Speaker 1: how long it's going to take to right size the 473 00:25:17,640 --> 00:25:21,159 Speaker 1: overall supply environment in this country. If we're undersupplied by 474 00:25:21,160 --> 00:25:24,119 Speaker 1: about a million units, that's my estimate. There's other estimates 475 00:25:24,119 --> 00:25:26,040 Speaker 1: out there. It's going to take about four or five 476 00:25:26,119 --> 00:25:29,360 Speaker 1: years to right size the overall market, and until that happens, 477 00:25:29,520 --> 00:25:31,480 Speaker 1: you're gonna see a continued flight of people to the 478 00:25:31,520 --> 00:25:34,959 Speaker 1: periphery until such times that things like you know, energy 479 00:25:35,000 --> 00:25:36,920 Speaker 1: shocks or things like this drive them back into the 480 00:25:36,960 --> 00:25:38,879 Speaker 1: city when commute to become too arduous. But if we 481 00:25:38,920 --> 00:25:41,159 Speaker 1: can see right now, commute truly aren't the issue, as 482 00:25:41,160 --> 00:25:43,200 Speaker 1: people can work from home more and that kind of 483 00:25:43,240 --> 00:25:45,880 Speaker 1: trend is only going to support movement to the periphery. 484 00:25:45,920 --> 00:25:47,600 Speaker 1: All right, Bratt, thanks so much for joining us to 485 00:25:47,640 --> 00:25:54,560 Speaker 1: really appreciate getting your perspective on the residential real estate market. Renters, buyers, worthy, 486 00:25:54,800 --> 00:25:58,159 Speaker 1: growth is um and you know, interesting to see how 487 00:25:58,160 --> 00:25:59,560 Speaker 1: this plays out as would come out on the other 488 00:25:59,600 --> 00:26:04,159 Speaker 1: side of this pandemic. Uh, what will the market look like? 489 00:26:04,320 --> 00:26:06,080 Speaker 1: And Uh, it's gonna be interest to see which markets 490 00:26:06,119 --> 00:26:07,920 Speaker 1: do well and which lag Brad Delman, he's a chief 491 00:26:07,920 --> 00:26:12,840 Speaker 1: economist for Courtland giving us an update there. This is Bloomberg. 492 00:26:13,400 --> 00:26:16,520 Speaker 1: Thanks for listening to the Bloomberg Markets podcast. You can 493 00:26:16,560 --> 00:26:20,320 Speaker 1: subscribe and listen to interviews with Apple Podcasts or whatever 494 00:26:20,400 --> 00:26:24,080 Speaker 1: podcast platform you prefer. I'm Matt Miller I'm on Twitter 495 00:26:24,359 --> 00:26:27,840 Speaker 1: at Matt Miller three. Put on fall Sweeney I'm on 496 00:26:27,840 --> 00:26:30,800 Speaker 1: Twitter at pt Sweeney Before the podcast. You can always 497 00:26:30,800 --> 00:26:32,920 Speaker 1: catch us worldwide at Bloomberg Radio