1 00:00:05,840 --> 00:00:08,760 Speaker 1: Welcome to the Bloomberg P and L Podcast. I'm Pim Fox. 2 00:00:08,800 --> 00:00:11,559 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,680 --> 00:00:15,160 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,240 --> 00:00:17,880 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:18,000 --> 00:00:20,759 Speaker 1: or the trading floor. Find the Bloomberg P M L 6 00:00:20,880 --> 00:00:34,239 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot com. The 7 00:00:34,360 --> 00:00:37,040 Speaker 1: fight over your dinner table. No, it's not between you 8 00:00:37,159 --> 00:00:40,239 Speaker 1: and perhaps your children or your other relatives. It's the 9 00:00:40,280 --> 00:00:43,360 Speaker 1: fight between grocery stores to deliver the food that would 10 00:00:43,360 --> 00:00:45,760 Speaker 1: actually end up on your table. Here to tell us 11 00:00:45,800 --> 00:00:48,760 Speaker 1: more about the grocery store wars is Scott Mushkin's senior 12 00:00:48,840 --> 00:00:53,000 Speaker 1: retail and staples analysts for Wolf Research. Scott, always a 13 00:00:53,080 --> 00:00:58,000 Speaker 1: pleasure give us your sort of thoughts on the cost 14 00:00:58,200 --> 00:01:02,400 Speaker 1: that is being borne by companies like Amazon to actually 15 00:01:02,520 --> 00:01:05,679 Speaker 1: get the food and products to the table of their 16 00:01:05,800 --> 00:01:09,280 Speaker 1: consumers and customers. Because that's not cheap. They say, it's 17 00:01:09,400 --> 00:01:13,360 Speaker 1: free if you're a prime customer, but somehow, somewhere someone's 18 00:01:13,400 --> 00:01:16,040 Speaker 1: paying for it. Yeah, it's great point, Pam, and thanks 19 00:01:16,080 --> 00:01:18,720 Speaker 1: again for having me on. Highly says so, yeah, I mean, 20 00:01:18,720 --> 00:01:21,520 Speaker 1: I think the challenge with consumables, and particularly those every 21 00:01:21,560 --> 00:01:25,800 Speaker 1: day reordable items like go with toothbrush or toothpaste, high 22 00:01:25,800 --> 00:01:29,720 Speaker 1: and deodorant. I we as consumers would like them delivered 23 00:01:29,720 --> 00:01:32,360 Speaker 1: to our our house. Our our research shows the challenges. 24 00:01:32,440 --> 00:01:35,399 Speaker 1: It's it's not that economical to get us to get 25 00:01:35,440 --> 00:01:37,680 Speaker 1: us those products. And so I think there's this push 26 00:01:37,680 --> 00:01:40,440 Speaker 1: and pull and trying to understand how the economics will work, 27 00:01:41,160 --> 00:01:43,360 Speaker 1: what the model will be like as we go forward 28 00:01:43,400 --> 00:01:46,840 Speaker 1: over the next five to ten years. UM and Amazon's 29 00:01:47,000 --> 00:01:50,280 Speaker 1: you know, obviously bought Whole Foods. It's in what we 30 00:01:50,320 --> 00:01:53,120 Speaker 1: consider the driver's seat of trying to put an omni 31 00:01:53,160 --> 00:01:56,560 Speaker 1: channel spin on consumables. UM and we had just the 32 00:01:56,560 --> 00:01:58,560 Speaker 1: head the announcement at of Walmart it's gonna be delivering 33 00:01:58,600 --> 00:02:01,000 Speaker 1: from a lot of its stores. So the grocery wars 34 00:02:01,040 --> 00:02:05,040 Speaker 1: are definitely taking place. We think they favor Amazon significantly, 35 00:02:05,560 --> 00:02:08,000 Speaker 1: UM as they don't have and they haven't built out 36 00:02:08,040 --> 00:02:10,320 Speaker 1: their assets there in the process of doing that, And 37 00:02:10,360 --> 00:02:13,080 Speaker 1: for other bricks and mortar companies, it's it's tough. I mean, 38 00:02:13,080 --> 00:02:15,880 Speaker 1: they're having to follow Amazon, who's now setting the strategic 39 00:02:16,000 --> 00:02:18,919 Speaker 1: vision for the for the industry. All right, So I'm 40 00:02:18,960 --> 00:02:21,640 Speaker 1: just wondering. So Amazon might have the upper hand, but 41 00:02:21,720 --> 00:02:25,000 Speaker 1: they've tried to get into this industry before and failed, 42 00:02:25,160 --> 00:02:28,880 Speaker 1: and this is notoriously hard hard nut to crack as 43 00:02:28,880 --> 00:02:34,000 Speaker 1: far as food delivery and replacing brick and mortar. Do 44 00:02:34,040 --> 00:02:37,120 Speaker 1: you think that the stock reaction which has been fierce 45 00:02:37,200 --> 00:02:40,640 Speaker 1: with with grocers like Kroger and bankruptcy is of an 46 00:02:40,639 --> 00:02:43,920 Speaker 1: increasing number of such companies. Do you think it's overdone 47 00:02:43,919 --> 00:02:46,880 Speaker 1: at this point? You know, Actually I don't, uh, And 48 00:02:46,919 --> 00:02:49,320 Speaker 1: I think the challenges we go. We look to China, 49 00:02:49,360 --> 00:02:51,079 Speaker 1: we look to China and what Ali Bob is doing 50 00:02:51,080 --> 00:02:55,480 Speaker 1: with Hima, and we think the purchase of Amazon of 51 00:02:55,560 --> 00:02:59,640 Speaker 1: Whole Foods is a watershed event where what we're going 52 00:02:59,720 --> 00:03:01,799 Speaker 1: to see, I think is a blend of an omni 53 00:03:01,880 --> 00:03:05,000 Speaker 1: channel blend developed um And it's a darn shame because 54 00:03:05,040 --> 00:03:07,920 Speaker 1: the stores had a huge home field advantage We've talked 55 00:03:07,919 --> 00:03:12,720 Speaker 1: about before where people still buy almost all their fresh 56 00:03:12,880 --> 00:03:16,079 Speaker 1: at the store um, and what we're seeing is that 57 00:03:16,200 --> 00:03:20,280 Speaker 1: home field advantage being surrendered to the vision of Amazon. 58 00:03:20,360 --> 00:03:21,680 Speaker 1: And I think it's going to be a like it's 59 00:03:21,720 --> 00:03:24,079 Speaker 1: an omni channel blend and will incorporate some bricks and 60 00:03:24,120 --> 00:03:27,919 Speaker 1: mortar stores as you've seen them by by Whole Foods UM. 61 00:03:28,000 --> 00:03:29,480 Speaker 1: But so I think they you know, they have some 62 00:03:29,520 --> 00:03:31,880 Speaker 1: of their best people working on this. We think they're 63 00:03:31,880 --> 00:03:35,240 Speaker 1: going to combine Amazon Now, Amazon Fresh, and Whole Foods 64 00:03:35,240 --> 00:03:38,560 Speaker 1: into one offering. UM. But the the idea is to 65 00:03:39,320 --> 00:03:42,600 Speaker 1: really bring omni channel, the omni channel experience and incorporate 66 00:03:42,720 --> 00:03:45,920 Speaker 1: stores uh into into that offering to make it a 67 00:03:45,960 --> 00:03:48,880 Speaker 1: little bit more economical. Alright, So so far this year, 68 00:03:48,960 --> 00:03:52,120 Speaker 1: Kroger and Walmart have lost more than thirty billion dollars 69 00:03:52,120 --> 00:03:56,280 Speaker 1: in market value combined. Other grocers have also seen their 70 00:03:56,320 --> 00:04:00,880 Speaker 1: shares plunge. Is there a specific company you're looking at 71 00:04:01,360 --> 00:04:06,040 Speaker 1: that has more pain to go? So we've been pretty 72 00:04:06,080 --> 00:04:08,080 Speaker 1: bullish on the U S economy and what's going on 73 00:04:08,160 --> 00:04:11,440 Speaker 1: with the tax the tax cuts. We think nominal growth 74 00:04:11,440 --> 00:04:13,880 Speaker 1: in the US has got to pick up UM. But 75 00:04:14,000 --> 00:04:16,960 Speaker 1: that's really a short term call, short term relief for 76 00:04:16,960 --> 00:04:21,599 Speaker 1: an industry that's under extraordinary pain and change. UM. So 77 00:04:21,680 --> 00:04:24,880 Speaker 1: our long term vision of staples retailing, as we call 78 00:04:24,960 --> 00:04:27,560 Speaker 1: it is is someone is very negative. And the reason 79 00:04:27,640 --> 00:04:29,680 Speaker 1: is we think Amazon is gonna grab twenty share, up 80 00:04:29,680 --> 00:04:33,080 Speaker 1: from less than three percent share right now, and that 81 00:04:33,200 --> 00:04:35,159 Speaker 1: twenty share has got to come from someone well but 82 00:04:35,279 --> 00:04:39,200 Speaker 1: but but very negative meaning how many bankruptcy is or 83 00:04:39,240 --> 00:04:43,240 Speaker 1: how much devastation with respect to specific grocers. Well, we've 84 00:04:43,240 --> 00:04:45,960 Speaker 1: already seen some announcements. We had wind Dixie which was 85 00:04:46,120 --> 00:04:48,680 Speaker 1: a private company but had public debt. They did they're 86 00:04:48,720 --> 00:04:53,159 Speaker 1: doing a pre pack UH bankruptcy tops up in UH 87 00:04:53,160 --> 00:04:55,400 Speaker 1: in the northern part of the US. I think it's 88 00:04:55,400 --> 00:04:57,640 Speaker 1: gonna be, you know, part of what we see. One 89 00:04:57,680 --> 00:05:00,480 Speaker 1: of the things that we're we're we've been thinking about 90 00:05:00,520 --> 00:05:03,560 Speaker 1: a lot is contents. You know, who has content that 91 00:05:03,600 --> 00:05:06,919 Speaker 1: people may pay for another majority of one subscription to 92 00:05:07,040 --> 00:05:09,920 Speaker 1: Primes you're paying a month and when that's going to 93 00:05:10,000 --> 00:05:11,200 Speaker 1: get you as a lot, it's going to get you 94 00:05:11,200 --> 00:05:14,960 Speaker 1: access to Whole Food now Fresh obviously all the video 95 00:05:15,000 --> 00:05:18,400 Speaker 1: content that Amazon has. So what other retailers are set 96 00:05:18,480 --> 00:05:21,720 Speaker 1: up with content specific to them. We actually think there's 97 00:05:21,720 --> 00:05:23,920 Speaker 1: actually favors they're not public companies, but we think its 98 00:05:23,960 --> 00:05:27,839 Speaker 1: favors some of the smaller private supermarkets. UH. Someone like 99 00:05:27,960 --> 00:05:31,160 Speaker 1: h eb Down in Texas, very good grosser, a very 100 00:05:31,160 --> 00:05:35,240 Speaker 1: good merchant and probably able to charge for delivery. The 101 00:05:35,240 --> 00:05:38,760 Speaker 1: other company that we like is Sprouts. UH. Sprouts Farmers 102 00:05:38,760 --> 00:05:44,480 Speaker 1: Market square footstore right and called the best pure foods 103 00:05:44,560 --> 00:05:48,919 Speaker 1: pure play, um Natural Organic Fresh. So we like we 104 00:05:49,000 --> 00:05:52,520 Speaker 1: like Sprouts. All the other companies public, and some of 105 00:05:52,520 --> 00:05:55,159 Speaker 1: them are private by private equity. You know, we get 106 00:05:55,160 --> 00:05:57,320 Speaker 1: really nervous because a lot of share is going to 107 00:05:57,400 --> 00:06:01,480 Speaker 1: have to move in our opinion, and when that share moves, 108 00:06:01,600 --> 00:06:03,800 Speaker 1: it's a lot of pressure. The other thing is it's 109 00:06:03,800 --> 00:06:07,160 Speaker 1: just costing more to do business. So you know, Walmart, 110 00:06:07,520 --> 00:06:09,960 Speaker 1: they're gonna have two thousand stores that have clicking, you know, 111 00:06:10,040 --> 00:06:14,400 Speaker 1: clicking collect They're gonna have another eight stores delivering. That's 112 00:06:14,400 --> 00:06:17,599 Speaker 1: all added costs and unless you're able to charge um, 113 00:06:17,640 --> 00:06:20,320 Speaker 1: it's going to really hurt the economics of the business 114 00:06:20,320 --> 00:06:24,200 Speaker 1: as we move forward. Thing for Kroger, you know, Scott, 115 00:06:24,200 --> 00:06:26,240 Speaker 1: I'm surprised that that you that I'm talking to you. 116 00:06:26,240 --> 00:06:28,400 Speaker 1: I think you're in Mississippi. I thought you'd be you'd 117 00:06:28,400 --> 00:06:32,680 Speaker 1: be at the Shop Talk Uh trade show, because that's 118 00:06:32,760 --> 00:06:36,320 Speaker 1: you know where a lot of the Amazon and eBay, Alphabet, 119 00:06:36,400 --> 00:06:39,279 Speaker 1: Facebook and all these companies are given presentations about the 120 00:06:39,320 --> 00:06:42,040 Speaker 1: future of retail. And one of the points I was 121 00:06:42,080 --> 00:06:47,400 Speaker 1: reading about earlier is that Google is integrating the retail 122 00:06:47,480 --> 00:06:50,600 Speaker 1: product categories like you know from Walmart or Target. With 123 00:06:50,640 --> 00:06:53,320 Speaker 1: what they describe as the Universal Shopping Cart. They're gonna 124 00:06:53,360 --> 00:06:56,960 Speaker 1: share the checkout page and the online payments with a 125 00:06:57,040 --> 00:07:01,560 Speaker 1: commission pricing model. Any thoughts on it? Yeah, I mean, 126 00:07:01,600 --> 00:07:03,880 Speaker 1: so you know, Google is basically going to start charging 127 00:07:03,920 --> 00:07:08,920 Speaker 1: some of these retailers for their search um and again 128 00:07:09,080 --> 00:07:11,880 Speaker 1: somewhat Amazon has an advantage here. A lot of searches 129 00:07:11,920 --> 00:07:14,800 Speaker 1: start right on Amazon for product um and so they 130 00:07:14,840 --> 00:07:17,840 Speaker 1: have an ecosystem that includes all of this. And so 131 00:07:17,880 --> 00:07:20,840 Speaker 1: if you're using Google, and Google has a lot of power, 132 00:07:20,880 --> 00:07:23,480 Speaker 1: they're going to start charging you as a retailer. UM. 133 00:07:23,520 --> 00:07:27,280 Speaker 1: I actually think that's an advantage to Amazon UM. And another. 134 00:07:28,360 --> 00:07:31,240 Speaker 1: The reason to fear the retailer's economics not that they're 135 00:07:31,240 --> 00:07:33,000 Speaker 1: necessary going to go away and go bankrupt all of 136 00:07:33,000 --> 00:07:36,040 Speaker 1: these guys, but the retailer's economics are going to be 137 00:07:36,120 --> 00:07:39,280 Speaker 1: under pressure UM. And of course we saw today with 138 00:07:39,560 --> 00:07:42,960 Speaker 1: an Amazon announcement that pressure tends to roll downhill to 139 00:07:43,040 --> 00:07:45,400 Speaker 1: some of these manufacturers. So manufacturers are gonna be under 140 00:07:45,400 --> 00:07:48,560 Speaker 1: pressure to particularly again if you don't have good content, 141 00:07:48,640 --> 00:07:50,160 Speaker 1: if you're not you don't have things that people are 142 00:07:50,160 --> 00:07:52,760 Speaker 1: willing to pay pay for Scott Mushkin, Thank you so 143 00:07:52,840 --> 00:07:56,120 Speaker 1: much for joining us. Scott Mushkin, managing director and senior 144 00:07:56,200 --> 00:08:00,880 Speaker 1: Staples retail analyst with Wolf Research normally in New York, 145 00:08:00,920 --> 00:08:19,720 Speaker 1: but today in Mississippi. Right now the share is of Facebook. 146 00:08:19,720 --> 00:08:22,960 Speaker 1: They are lower by five percent, the company grappling with 147 00:08:23,000 --> 00:08:26,680 Speaker 1: backlash over its role in spreading disinformation. Here to tell 148 00:08:26,760 --> 00:08:28,480 Speaker 1: us a little bit more about the story and what 149 00:08:28,640 --> 00:08:31,920 Speaker 1: the reaction and congress might be is our own technology 150 00:08:31,960 --> 00:08:35,920 Speaker 1: reporter Sarah Friar joining us from San Francisco. Sarah, thanks 151 00:08:36,000 --> 00:08:39,120 Speaker 1: very much for being with us. Any updates in terms 152 00:08:39,200 --> 00:08:42,600 Speaker 1: of the Facebook reaction to this and also reaction to 153 00:08:42,640 --> 00:08:46,080 Speaker 1: the news that Alex Stamos, the chief information security officer, 154 00:08:46,600 --> 00:08:51,120 Speaker 1: is set to leave the company in August. Well, I 155 00:08:51,160 --> 00:08:54,760 Speaker 1: have a story today that explains how Facebook made this 156 00:08:55,440 --> 00:08:59,480 Speaker 1: into a crisis almost by the way it responded to it. Uh, 157 00:08:59,720 --> 00:09:04,440 Speaker 1: they smically by pre empting the news reports with its 158 00:09:04,480 --> 00:09:08,400 Speaker 1: own blog posts on Friday explaining that it was suspending 159 00:09:08,440 --> 00:09:11,559 Speaker 1: Cambridge Analytica. It made it seem like they had their 160 00:09:11,559 --> 00:09:16,520 Speaker 1: own information on Cambridge Analytica obtaining the data they didn't. 161 00:09:16,840 --> 00:09:20,600 Speaker 1: So now Facebook has as they're spiraling into crisis. They 162 00:09:20,640 --> 00:09:23,280 Speaker 1: have to show people that they don't actually know if 163 00:09:23,320 --> 00:09:25,960 Speaker 1: the reports are true on their end, so they can't 164 00:09:25,960 --> 00:09:30,400 Speaker 1: take stronger action or have Mark Zuckerberg or Cheryl Sandberg 165 00:09:30,440 --> 00:09:33,640 Speaker 1: speak until they have completed an internal audit. So they 166 00:09:33,720 --> 00:09:38,120 Speaker 1: really put themselves in this really difficult position that they 167 00:09:38,120 --> 00:09:41,160 Speaker 1: didn't need to be in, where they're sort of trying 168 00:09:41,200 --> 00:09:44,520 Speaker 1: to undo some of the weight that they gave to 169 00:09:44,640 --> 00:09:47,880 Speaker 1: the reports by pre empting them. So, Sarah, is this 170 00:09:48,040 --> 00:09:51,520 Speaker 1: why the shares are down so much? Because the botched 171 00:09:51,640 --> 00:09:56,719 Speaker 1: response suggects to suggests a vacuum of either leadership or 172 00:09:57,440 --> 00:10:01,800 Speaker 1: appropriate response thought in the c suite? Or is it 173 00:10:02,080 --> 00:10:03,960 Speaker 1: sort of a game change, or now that the FTC, 174 00:10:04,120 --> 00:10:08,240 Speaker 1: the Federal Trade Commission is getting involved and President Trump 175 00:10:08,280 --> 00:10:12,760 Speaker 1: also commenting and saying just this morning that all Americans 176 00:10:12,800 --> 00:10:17,439 Speaker 1: should expect privacy of data. I think that there's a 177 00:10:17,559 --> 00:10:20,200 Speaker 1: number of factors. I think Facebook made this a big story, 178 00:10:20,400 --> 00:10:25,520 Speaker 1: in part by taking action before the story happened. Um, 179 00:10:25,559 --> 00:10:29,480 Speaker 1: But I do think that this is a moment in 180 00:10:29,480 --> 00:10:32,120 Speaker 1: in all of Facebook news where people look at it 181 00:10:32,200 --> 00:10:35,360 Speaker 1: the way things have worked in they're starting to say, wait, 182 00:10:35,400 --> 00:10:38,920 Speaker 1: this is not good, this is not helpful for our 183 00:10:39,679 --> 00:10:43,480 Speaker 1: users of these products that are so dominant around the world, 184 00:10:43,960 --> 00:10:46,319 Speaker 1: So we need to start asking questions about the way 185 00:10:46,360 --> 00:10:50,000 Speaker 1: it's always worked. Facebook's um stands here is that this 186 00:10:50,080 --> 00:10:53,599 Speaker 1: is this is a problem that's sort of been resolved 187 00:10:53,600 --> 00:10:59,480 Speaker 1: by an update they made, uh that they have you know, 188 00:10:59,600 --> 00:11:03,320 Speaker 1: they have to degraize this is actually true audited. Nobody 189 00:11:03,360 --> 00:11:07,440 Speaker 1: trusts them anymore. We have people calling for Zuckerberg or 190 00:11:07,440 --> 00:11:10,640 Speaker 1: Sandberg to testify in front of lawmakers on both sides 191 00:11:10,679 --> 00:11:13,480 Speaker 1: of the Atlantic. The sec is down falls. This is 192 00:11:13,520 --> 00:11:17,040 Speaker 1: a point where people are saying that they don't expect 193 00:11:17,080 --> 00:11:20,000 Speaker 1: that Facebook will have usn best interest in heart when 194 00:11:20,000 --> 00:11:23,000 Speaker 1: they when they go and try to solve these problems 195 00:11:23,120 --> 00:11:25,560 Speaker 1: on their own and then reassure the public that they've 196 00:11:25,600 --> 00:11:28,880 Speaker 1: done so. Sarah, maybe you could just also speak to 197 00:11:28,960 --> 00:11:34,800 Speaker 1: the perhaps confrontation or the constant back and forth between 198 00:11:35,360 --> 00:11:40,000 Speaker 1: those people at Facebook who are more eager to look 199 00:11:40,000 --> 00:11:42,720 Speaker 1: at ways to make money than those who are fighting 200 00:11:43,080 --> 00:11:48,360 Speaker 1: for the protection of data and information that has been 201 00:11:48,480 --> 00:11:54,880 Speaker 1: voluntarily entered into the Facebook system by users. So basically 202 00:11:54,960 --> 00:11:59,360 Speaker 1: saying that the information that was accessed by Alexander Cogan, 203 00:11:59,440 --> 00:12:03,160 Speaker 1: the creator of this personality app, he that he didn't 204 00:12:03,200 --> 00:12:07,360 Speaker 1: in a way that was valid per Facebook policies at 205 00:12:07,400 --> 00:12:10,000 Speaker 1: the time, which allowed people to give information not to 206 00:12:10,120 --> 00:12:12,800 Speaker 1: some themselves but on their friends. So two and seventy 207 00:12:12,880 --> 00:12:16,360 Speaker 1: thousand people using the app resulted in information on fifty 208 00:12:16,440 --> 00:12:21,080 Speaker 1: million people. Facetoos doesn't allow that anymore, but further policies 209 00:12:21,120 --> 00:12:25,160 Speaker 1: at the time that was routine. And um, what people 210 00:12:25,160 --> 00:12:28,160 Speaker 1: are saying now is is okay, we understand that you 211 00:12:28,240 --> 00:12:32,240 Speaker 1: change those policies Facebook, but did you ever look into, 212 00:12:32,440 --> 00:12:36,560 Speaker 1: you know, once these third parties received data on white 213 00:12:36,559 --> 00:12:38,679 Speaker 1: floss of people, did you ever look into whether they 214 00:12:38,679 --> 00:12:42,680 Speaker 1: were doing right by it? Didn't protecting it? Of course, 215 00:12:42,720 --> 00:12:47,040 Speaker 1: in this case, Alexander Cogan gave that data to Cambridge Analytic, 216 00:12:47,080 --> 00:12:50,560 Speaker 1: to which the users had not agreed to. And there's 217 00:12:50,600 --> 00:12:53,680 Speaker 1: a big question here about like, how how does Facebook 218 00:12:53,720 --> 00:12:59,040 Speaker 1: audit these relationships with third parties and the company you know, 219 00:12:59,120 --> 00:13:01,480 Speaker 1: I don't know. Sincesarily think it's an odds with their 220 00:13:01,520 --> 00:13:04,720 Speaker 1: business model. I mean, their business model is all about 221 00:13:04,760 --> 00:13:09,000 Speaker 1: making sure that the information that people give Facebook, uh 222 00:13:09,160 --> 00:13:12,720 Speaker 1: their demographic information, their interests, their groups that they've joined, 223 00:13:12,760 --> 00:13:16,360 Speaker 1: all that information can be used with marketers to target them. 224 00:13:16,400 --> 00:13:19,800 Speaker 1: Add that's like, that's like the promise of the free Internet, right, 225 00:13:19,840 --> 00:13:22,680 Speaker 1: you get the internet for free. These companies get your 226 00:13:22,760 --> 00:13:24,400 Speaker 1: data and they get to target you add based on 227 00:13:24,400 --> 00:13:28,160 Speaker 1: that data. Um, advertisers, I spoke to one last night. 228 00:13:28,360 --> 00:13:32,280 Speaker 1: They actually want Facebook to show users that they are 229 00:13:32,559 --> 00:13:36,400 Speaker 1: good with their data privacy. Advertisers don't want to be 230 00:13:36,559 --> 00:13:40,800 Speaker 1: advertising on a service that users have a bad feeling about. Um, 231 00:13:40,840 --> 00:13:43,200 Speaker 1: it's not going to be good for their business. And 232 00:13:43,240 --> 00:13:45,960 Speaker 1: I would, well, you tell me. I mean, with the 233 00:13:46,000 --> 00:13:48,480 Speaker 1: revelation that Alex Stamos is gonna be leaving the company 234 00:13:48,800 --> 00:13:52,120 Speaker 1: in August, Uh, didn't he lead a group of engineers 235 00:13:52,120 --> 00:13:55,400 Speaker 1: that found out in June of that and that was 236 00:13:55,440 --> 00:13:57,960 Speaker 1: the month of Democratic National Committee announced that it has 237 00:13:58,000 --> 00:14:01,240 Speaker 1: been attacked by Russian hackers. They said, yeah, there's a 238 00:14:01,240 --> 00:14:03,400 Speaker 1: lot of Russian activity and that they actually had people 239 00:14:03,400 --> 00:14:08,000 Speaker 1: paying for these fake accounts. Yeah. I actually I was 240 00:14:08,040 --> 00:14:10,680 Speaker 1: speaking with the head of news Feed in August of 241 00:14:10,720 --> 00:14:13,400 Speaker 1: that year and he said, oh, yeah, we've been starting 242 00:14:13,400 --> 00:14:17,280 Speaker 1: to look into misinformation on Facebook and the spread of it. 243 00:14:17,360 --> 00:14:19,840 Speaker 1: I mean, the company was starting to see the signs. 244 00:14:20,520 --> 00:14:24,760 Speaker 1: Just remember Facebook's position at that time. The company was 245 00:14:24,800 --> 00:14:31,120 Speaker 1: responding to a controversy over its its news curation, that 246 00:14:31,240 --> 00:14:35,520 Speaker 1: it may be silencing conservative viewpoints. So the the company, 247 00:14:35,720 --> 00:14:40,280 Speaker 1: the company's reaction to crises is very, very reactionary. They 248 00:14:40,320 --> 00:14:42,360 Speaker 1: don't want any bad news out there. They want everyone 249 00:14:42,360 --> 00:14:46,760 Speaker 1: to feel like they are this unbiased rap for anything, seraphire, 250 00:14:47,080 --> 00:14:48,840 Speaker 1: We're gonna have to leave it there. Thank you so much, 251 00:14:48,880 --> 00:14:51,360 Speaker 1: and thank you for all of your fantastic reporting. Sarah 252 00:14:51,360 --> 00:15:09,080 Speaker 1: Fryar is a technology reporter for Bloomberg News trade tariffs 253 00:15:09,200 --> 00:15:11,840 Speaker 1: and China. I'm here to help us understand the current 254 00:15:11,880 --> 00:15:14,320 Speaker 1: situation and what is likely to unfold this week. Is 255 00:15:14,440 --> 00:15:18,800 Speaker 1: Andrew Mayetta. He is our global economy reporter for Bloomberg News. 256 00:15:19,120 --> 00:15:22,080 Speaker 1: He can be followed on Twitter at a Mayeta and 257 00:15:22,160 --> 00:15:25,280 Speaker 1: he joins us from our nine one studios into Washington, 258 00:15:25,640 --> 00:15:28,480 Speaker 1: d C. Andrew, thanks for being with us. Maybe just 259 00:15:28,520 --> 00:15:30,480 Speaker 1: bring everyone up to date on what is going on 260 00:15:30,560 --> 00:15:33,800 Speaker 1: between the United States and China as it relates to 261 00:15:34,520 --> 00:15:39,040 Speaker 1: trade in tariff wars. Sure, so, the US Administration has 262 00:15:39,080 --> 00:15:45,720 Speaker 1: been investigating whether China basically disregards US intellectual property and 263 00:15:45,800 --> 00:15:51,080 Speaker 1: forces American companies to transfer technological know how to the Chinese, 264 00:15:51,800 --> 00:15:56,160 Speaker 1: and that investigation is nearing a close. Report has been 265 00:15:56,200 --> 00:15:59,240 Speaker 1: submitted to the president, and he's considering a number of 266 00:15:59,280 --> 00:16:03,680 Speaker 1: different options, including UH sixty billion dollars in tariffs on 267 00:16:03,840 --> 00:16:07,160 Speaker 1: Chinese products. All Right, Andrew, I was struck by a 268 00:16:07,200 --> 00:16:10,440 Speaker 1: top headline today on the Bloomberg Terminal about how China 269 00:16:10,880 --> 00:16:16,560 Speaker 1: is pledging not to interfere or violate intellectual property rules 270 00:16:16,760 --> 00:16:21,720 Speaker 1: with any foreign companies coming to the nation, basically saying, guys, 271 00:16:21,880 --> 00:16:23,880 Speaker 1: let's just work this out. We're not going to do 272 00:16:23,920 --> 00:16:27,560 Speaker 1: anything bad. Please trust us. Does that Does that work? 273 00:16:27,600 --> 00:16:31,960 Speaker 1: Does that fly? I think Larry Cudlow, who just replaced 274 00:16:31,960 --> 00:16:35,320 Speaker 1: Gary Cohen, is going to say this is positive, this 275 00:16:35,360 --> 00:16:38,160 Speaker 1: is encouraging. We should work with this. We should sit 276 00:16:38,200 --> 00:16:41,760 Speaker 1: down at the negotiating table where the world's two biggest economies. 277 00:16:42,280 --> 00:16:45,000 Speaker 1: You know that global recovery is actually going pretty well. 278 00:16:45,320 --> 00:16:48,520 Speaker 1: Let's not mess this up. I think Peter Navarro is 279 00:16:48,520 --> 00:16:52,120 Speaker 1: going to say, these guys have made promises before, they 280 00:16:52,160 --> 00:16:54,760 Speaker 1: haven't lived up to them. They've been making promises since 281 00:16:54,800 --> 00:16:57,200 Speaker 1: two thousand one, since they joined a w t O 282 00:16:57,960 --> 00:17:01,480 Speaker 1: and talk is cheap. Well, Andrew, can you give us 283 00:17:01,520 --> 00:17:06,400 Speaker 1: some specific examples of products that might be hit with 284 00:17:06,520 --> 00:17:08,640 Speaker 1: these kinds of tariffs. I mean I was looking at 285 00:17:08,680 --> 00:17:13,200 Speaker 1: things like textiles, and the details there are really astounding 286 00:17:13,280 --> 00:17:15,679 Speaker 1: because it, you know, it really goes everything from the 287 00:17:15,800 --> 00:17:18,840 Speaker 1: kind of fabrics that you might use in uh, clothing, 288 00:17:19,480 --> 00:17:23,560 Speaker 1: to the kinds of products that boy I mean, uh, 289 00:17:23,640 --> 00:17:28,080 Speaker 1: you'd never you know, whisk brooms, ethel alcohol, milk and cream, olives, tuna. 290 00:17:28,160 --> 00:17:31,840 Speaker 1: I mean, it is a dizzying array of products. Yeah. 291 00:17:31,880 --> 00:17:36,240 Speaker 1: My understanding is they're looking at everything from shoes, apparel, 292 00:17:37,200 --> 00:17:41,040 Speaker 1: travel goods, so we're talking luggage to you know, higher 293 00:17:41,119 --> 00:17:46,399 Speaker 1: end consumer electronics. I understand that one way USCR is 294 00:17:46,440 --> 00:17:51,119 Speaker 1: looking at it is they're taking China's own economic plan, 295 00:17:51,320 --> 00:17:56,560 Speaker 1: the made in China Plan, and they're looking at areas 296 00:17:56,600 --> 00:17:59,840 Speaker 1: of technology that China is trying to lead in and 297 00:18:00,040 --> 00:18:03,959 Speaker 1: they're trying to target those areas for tariffs. All right, 298 00:18:04,320 --> 00:18:08,200 Speaker 1: So one thing, as we are watched the headlines coming 299 00:18:08,280 --> 00:18:11,320 Speaker 1: out of the G twenty meeting in Buenos Aires, uh, 300 00:18:11,440 --> 00:18:15,639 Speaker 1: in Argentina that's ongoing right now, there actually is a 301 00:18:15,840 --> 00:18:21,320 Speaker 1: greater call for trade, free trade and trade tariffs loosening 302 00:18:21,520 --> 00:18:25,360 Speaker 1: or any other restrictions being sort of released among countries 303 00:18:25,440 --> 00:18:28,080 Speaker 1: other than the US. Can you talk a little bit 304 00:18:28,080 --> 00:18:31,720 Speaker 1: about that and how much that could potentially offset talk 305 00:18:31,800 --> 00:18:34,560 Speaker 1: of a trade war, tariffs or other rhetoric that we're 306 00:18:34,600 --> 00:18:38,240 Speaker 1: hearing out of the White House. Yeah, I think that overall, 307 00:18:38,280 --> 00:18:43,120 Speaker 1: actually the situation for the global economy and trade volumes 308 00:18:43,200 --> 00:18:46,480 Speaker 1: is pretty positive. UM. For the first year in a 309 00:18:46,520 --> 00:18:52,280 Speaker 1: long time, trade growth and trade volumes actually outpaced growth 310 00:18:52,359 --> 00:18:55,720 Speaker 1: in in overall outputs. In other words, trade resumed being 311 00:18:55,960 --> 00:18:59,119 Speaker 1: an engine of global growth. So so things are actually 312 00:18:59,160 --> 00:19:01,800 Speaker 1: going well, and I think that most countries in the 313 00:19:01,840 --> 00:19:05,560 Speaker 1: world don't want a trade war. What's unusual about the 314 00:19:05,640 --> 00:19:08,800 Speaker 1: situation is you have the US, which has been kind 315 00:19:08,840 --> 00:19:13,719 Speaker 1: of at the vanguard of creating the current global training system, 316 00:19:13,760 --> 00:19:16,679 Speaker 1: basically trying to blow it up from within UM and 317 00:19:16,760 --> 00:19:20,080 Speaker 1: pushing for major changes. And you have China, which for 318 00:19:20,280 --> 00:19:22,840 Speaker 1: years has kind of been seen as a pariah, pushing 319 00:19:22,880 --> 00:19:26,040 Speaker 1: for the status quo. So how exactly that equilibrium works 320 00:19:26,040 --> 00:19:29,480 Speaker 1: out at a place like the G twenty, It'll be 321 00:19:29,480 --> 00:19:32,800 Speaker 1: interesting to see how it works out. Andrew any any 322 00:19:32,800 --> 00:19:35,280 Speaker 1: word or any any inkling of how does it work 323 00:19:35,359 --> 00:19:38,439 Speaker 1: out between the United States and let's say, Canada and 324 00:19:38,520 --> 00:19:41,280 Speaker 1: Mexico in terms of exemptions on some of the already 325 00:19:41,280 --> 00:19:46,800 Speaker 1: announced tariffs. Well, Canada and Mexico have been excluded from 326 00:19:46,880 --> 00:19:52,399 Speaker 1: the steel tariffs that President Trump announced earlier this month. Um, 327 00:19:52,480 --> 00:19:55,919 Speaker 1: but President Trump, as kind of is his want, has 328 00:19:55,960 --> 00:20:00,000 Speaker 1: added um a condition to it. He's basically said, look, 329 00:20:00,280 --> 00:20:04,280 Speaker 1: your exclude for now. I'm recognizing your important security partners, 330 00:20:04,480 --> 00:20:06,560 Speaker 1: but I want a good NAFTA. And if you don't 331 00:20:06,560 --> 00:20:09,520 Speaker 1: give me a good NAFTA, then you know that that 332 00:20:09,560 --> 00:20:12,560 Speaker 1: exclusion could go away. So that it's kind of creating 333 00:20:12,600 --> 00:20:16,959 Speaker 1: a bit of a storm hanging over the NAFTA talks. Well, 334 00:20:16,960 --> 00:20:19,159 Speaker 1: we're gonna have to wait and see what happens. But boy, Andrew, 335 00:20:19,160 --> 00:20:20,760 Speaker 1: I think you're gonna end up in the nitty gritty. 336 00:20:20,800 --> 00:20:22,600 Speaker 1: I mean, I've been looking at things like the commissioned 337 00:20:22,640 --> 00:20:25,679 Speaker 1: voting on things like rubber bands from China, Sri Lanka, 338 00:20:25,760 --> 00:20:29,760 Speaker 1: and Thailand, as well as digital video receivers. So it 339 00:20:29,760 --> 00:20:34,119 Speaker 1: really just covers the you know, an entire encyclopedia of 340 00:20:34,320 --> 00:20:37,680 Speaker 1: products and services, encyclopedia of agencies that have to weigh 341 00:20:37,680 --> 00:20:39,000 Speaker 1: in on this, which is going to be a part 342 00:20:39,040 --> 00:20:40,920 Speaker 1: of the issue getting all of them to agree on 343 00:20:40,920 --> 00:20:43,280 Speaker 1: on rubber bands. And you know, I'm gonna follow you 344 00:20:43,320 --> 00:20:45,360 Speaker 1: know what I'm gonna do. I'm gonna follow Andrew Mayetta 345 00:20:45,400 --> 00:20:49,879 Speaker 1: on Twitter. Follow you back. Okay, Andrew Mayetta, our global 346 00:20:49,920 --> 00:20:52,520 Speaker 1: economy reporter for Bloomberg News, joining us from our ninety 347 00:20:52,600 --> 00:20:56,320 Speaker 1: nine one studios in Washington, D C. And uh, well, 348 00:20:56,320 --> 00:20:57,919 Speaker 1: we'll have to see what happens to the rest of 349 00:20:57,920 --> 00:21:01,600 Speaker 1: the week. Sixty billion dollars potential hit to two trades. 350 00:21:17,400 --> 00:21:20,440 Speaker 1: We do have a Federal Reserve meeting that is underway 351 00:21:20,520 --> 00:21:24,040 Speaker 1: in Washington, D C. And will conclude tomorrow, most likely 352 00:21:24,240 --> 00:21:27,680 Speaker 1: with an additional rate hike. Here to talk about what 353 00:21:27,760 --> 00:21:29,879 Speaker 1: we can expect and what we ought to be paying 354 00:21:29,880 --> 00:21:33,639 Speaker 1: attention to, is Ira Jersey, chief US interest rate strategist 355 00:21:33,760 --> 00:21:38,480 Speaker 1: for Bloomberg Intelligence. Ira, let's start by taking a temperature 356 00:21:38,680 --> 00:21:42,280 Speaker 1: of debt markets. What are they expecting j Powell to 357 00:21:42,359 --> 00:21:46,280 Speaker 1: do tomorrow in his first press conference as chairman of 358 00:21:46,320 --> 00:21:49,960 Speaker 1: the Federal Reserve. Yeah so so a like you mentioned, Lisa, 359 00:21:50,200 --> 00:21:52,880 Speaker 1: a hike is all but baked in the cake here. Um, 360 00:21:53,200 --> 00:21:56,159 Speaker 1: the shock would be if they didn't hike. Actually, we're 361 00:21:56,200 --> 00:22:00,119 Speaker 1: now a price for hike tomorrow. Um. The other was 362 00:22:00,119 --> 00:22:02,959 Speaker 1: saying that the market's going to be looking for is 363 00:22:03,320 --> 00:22:05,720 Speaker 1: will some of the hawk is comments that J Pale 364 00:22:05,800 --> 00:22:08,000 Speaker 1: made during the Humphrey Hawk and testimony, and a number 365 00:22:08,040 --> 00:22:10,960 Speaker 1: of others have have hinted at will that UM show 366 00:22:11,080 --> 00:22:13,639 Speaker 1: up in the summary of Economic projections that are also 367 00:22:13,720 --> 00:22:16,760 Speaker 1: be released with the statement tomorrow, and uh, and then J. 368 00:22:16,880 --> 00:22:19,200 Speaker 1: Powell will have to kind of describe them in more 369 00:22:19,240 --> 00:22:22,040 Speaker 1: detail during his press conference. Because the market is now 370 00:22:22,080 --> 00:22:24,840 Speaker 1: pricing for five hikes by the end of ten and 371 00:22:24,880 --> 00:22:27,880 Speaker 1: I think that that's pretty Uh, that's pretty interesting because 372 00:22:27,920 --> 00:22:29,879 Speaker 1: when we talked just a couple of weeks ago, the 373 00:22:30,200 --> 00:22:32,639 Speaker 1: market was only pricing for four, so we were pricing 374 00:22:32,640 --> 00:22:35,600 Speaker 1: in a full other hike now over the next year 375 00:22:35,600 --> 00:22:37,720 Speaker 1: and a half or so. Alright, what if you could 376 00:22:37,760 --> 00:22:41,720 Speaker 1: bring into this conversation the global issues having to do 377 00:22:41,920 --> 00:22:46,920 Speaker 1: with the reduction and quantitative easing Because European Central Bike 378 00:22:46,920 --> 00:22:50,000 Speaker 1: President Mario drag announcing that he's going to phase out 379 00:22:50,000 --> 00:22:54,639 Speaker 1: those monthly asset purchases by the end of yeah. So 380 00:22:54,640 --> 00:22:58,680 Speaker 1: so I think the ECB action is is kind of realistic, 381 00:22:58,680 --> 00:23:01,359 Speaker 1: but they're trying to temper that with UM, you know, 382 00:23:01,400 --> 00:23:03,760 Speaker 1: saying look, we're gonna we're gonna stop our asset purchases. 383 00:23:03,760 --> 00:23:05,760 Speaker 1: We're gonna try to avoid a taper tantrum, and so 384 00:23:05,840 --> 00:23:07,840 Speaker 1: far they kind of have. Um. I think we had 385 00:23:07,840 --> 00:23:12,480 Speaker 1: our taper tantrum for for that last June UM. But 386 00:23:12,480 --> 00:23:14,240 Speaker 1: but by saying that, hey, we're still not going to 387 00:23:14,359 --> 00:23:16,240 Speaker 1: hike for a very long time, I think that that's 388 00:23:16,240 --> 00:23:19,400 Speaker 1: tempered the expectations of of how steep the yield curve 389 00:23:19,440 --> 00:23:21,760 Speaker 1: can get in Europe. And and that is the one 390 00:23:21,960 --> 00:23:24,760 Speaker 1: thing that could probably significantly steep in the U S 391 00:23:24,840 --> 00:23:28,440 Speaker 1: yield curve is um is if if European rates back 392 00:23:28,520 --> 00:23:30,399 Speaker 1: up quite a lot. So he's still very low interest 393 00:23:30,480 --> 00:23:33,240 Speaker 1: rates in Germany and a lot of developed Europe, and 394 00:23:33,280 --> 00:23:36,000 Speaker 1: if those were to move forty sixty basis points, those 395 00:23:36,040 --> 00:23:39,480 Speaker 1: would have significant, uh knock on effects to US rates. 396 00:23:39,520 --> 00:23:42,560 Speaker 1: But so far it's been um pretty orderly at least, 397 00:23:42,760 --> 00:23:44,720 Speaker 1: you know, you've seen a little modestly higher rates, but 398 00:23:44,760 --> 00:23:48,040 Speaker 1: they haven't really spiked higher like they did last June 399 00:23:48,040 --> 00:23:51,560 Speaker 1: when he first suggested that that that quantitative easing might 400 00:23:51,560 --> 00:23:55,440 Speaker 1: be coming to an end. Okay, now take that possibility 401 00:23:55,720 --> 00:24:00,280 Speaker 1: of the effects of reduction in asset purchases by the 402 00:24:00,320 --> 00:24:05,159 Speaker 1: European Central Bank, and how do you factor in the 403 00:24:05,280 --> 00:24:09,560 Speaker 1: risk that Shinzo abe prime Minister of Japan. He's got 404 00:24:09,560 --> 00:24:12,720 Speaker 1: a political scandal that he's dealing with, and that could 405 00:24:12,760 --> 00:24:16,520 Speaker 1: also affect what the Governor of the Bank of Japan Kuroda, 406 00:24:17,000 --> 00:24:20,800 Speaker 1: is forced to do. They may be thinking about unwinding 407 00:24:21,080 --> 00:24:24,840 Speaker 1: their stimulus stimulus package. Yeah, so I think, you know, 408 00:24:24,920 --> 00:24:27,199 Speaker 1: Japan is an interesting case because it's it's been a 409 00:24:27,240 --> 00:24:31,440 Speaker 1: long time since the since the actions within domestically within 410 00:24:31,520 --> 00:24:35,040 Speaker 1: Japan have really played out on a global horizon. Um, 411 00:24:35,240 --> 00:24:38,199 Speaker 1: you know, it's certainly affected the yen and versus the 412 00:24:38,200 --> 00:24:41,760 Speaker 1: euro and the dollar. It's affected um, you know, Japanese 413 00:24:41,880 --> 00:24:45,399 Speaker 1: rates obviously keeping uh with the Bank of Japan saying hey, 414 00:24:45,400 --> 00:24:47,560 Speaker 1: we're going to keep our tenure rates near zero and 415 00:24:47,560 --> 00:24:50,399 Speaker 1: we're going to buy whatever we need to do that. Um. 416 00:24:50,560 --> 00:24:54,240 Speaker 1: It's it's it's very unclear what would happen if they 417 00:24:54,320 --> 00:24:57,159 Speaker 1: let their tenure rates they go up from you know, 418 00:24:57,280 --> 00:25:01,600 Speaker 1: ten twelve basis points up to uh yeah, well right 419 00:25:01,600 --> 00:25:03,399 Speaker 1: now is at four, but up to say fifty or 420 00:25:03,480 --> 00:25:06,520 Speaker 1: sixty basis points. Would that have a knock on effect globally? 421 00:25:06,520 --> 00:25:10,120 Speaker 1: And it's it's less clear what the what the relationship 422 00:25:10,200 --> 00:25:13,560 Speaker 1: of the Japanese market is to the rest of the world, 423 00:25:13,600 --> 00:25:16,520 Speaker 1: and I suspect it will be less men um some 424 00:25:16,560 --> 00:25:19,240 Speaker 1: people fear so I I want to focus on something 425 00:25:19,240 --> 00:25:22,240 Speaker 1: that is happening. It's not a potential, and it's actually 426 00:25:22,359 --> 00:25:24,560 Speaker 1: raising a lot of eyebrows. We've talked about this before, 427 00:25:24,640 --> 00:25:28,480 Speaker 1: the gapping outspread between libr and o I S translation, 428 00:25:28,720 --> 00:25:34,040 Speaker 1: the cost of borrowing dollars has surged even related even 429 00:25:34,160 --> 00:25:38,679 Speaker 1: when compared with the Overnight Index swap rate, which is 430 00:25:38,720 --> 00:25:43,320 Speaker 1: basically the FEDS rate. This is generating a lot of 431 00:25:44,080 --> 00:25:47,760 Speaker 1: eyebrows being raised and questions. We've talked about it. You 432 00:25:47,800 --> 00:25:49,639 Speaker 1: don't think it's banking stress, you don't think it's much 433 00:25:49,680 --> 00:25:51,760 Speaker 1: to worry about. But City Group came out with a 434 00:25:51,840 --> 00:25:55,640 Speaker 1: report that said that there are real world negative consequences 435 00:25:56,119 --> 00:26:00,359 Speaker 1: from this increase in libor, which really is a mark 436 00:26:00,440 --> 00:26:03,920 Speaker 1: for trillions of dollars of us. It's do you agree, yeah, Well, 437 00:26:03,960 --> 00:26:06,440 Speaker 1: for sure, it's raising the borrowing costs for anyone who 438 00:26:06,480 --> 00:26:09,679 Speaker 1: borrows at a floating rate. In particular, UM, this is 439 00:26:09,760 --> 00:26:11,960 Speaker 1: raising the cost. So this could be raising the cost 440 00:26:12,080 --> 00:26:15,280 Speaker 1: for people who have mortgages that are going to reset soon, 441 00:26:15,400 --> 00:26:18,280 Speaker 1: for example, and if those reset the librar, it's certainly 442 00:26:18,800 --> 00:26:22,000 Speaker 1: affecting people who have credit card debt that's based on 443 00:26:22,000 --> 00:26:24,480 Speaker 1: on live war and and anyone who issues floating rate 444 00:26:24,480 --> 00:26:27,399 Speaker 1: notes that are again live war based. Now what's interesting 445 00:26:27,440 --> 00:26:29,280 Speaker 1: is that a lot of live a lot of floating 446 00:26:29,359 --> 00:26:34,480 Speaker 1: rate note issuance UM is so so companies that issue 447 00:26:34,480 --> 00:26:36,600 Speaker 1: these floating rate notes, a lot of them swap those 448 00:26:36,640 --> 00:26:39,320 Speaker 1: back into fix So what they do is, especially when 449 00:26:39,320 --> 00:26:41,480 Speaker 1: interest rates were lower, So anyone who issued, say a 450 00:26:41,520 --> 00:26:43,760 Speaker 1: year or two ago, when interest rates are very low, 451 00:26:44,000 --> 00:26:46,040 Speaker 1: they might have issued a floating rate note because it 452 00:26:46,080 --> 00:26:48,639 Speaker 1: was cheap financing, because investors said, I don't want to 453 00:26:48,680 --> 00:26:51,040 Speaker 1: buy fixed rate debt when treasury yields are at one 454 00:26:51,040 --> 00:26:53,040 Speaker 1: and a half percent, so but I'm happy to buy 455 00:26:53,040 --> 00:26:55,560 Speaker 1: a floating rate note because that protects me when the 456 00:26:55,600 --> 00:26:58,280 Speaker 1: FED starts to hike. But then um, but then those 457 00:26:58,280 --> 00:27:01,920 Speaker 1: companies then do an interest rates up that flots it 458 00:27:02,000 --> 00:27:05,360 Speaker 1: back in the six So it's probably not it's it's 459 00:27:05,359 --> 00:27:08,800 Speaker 1: not like there's a systemic risk here, but for some borrowers, certainly, 460 00:27:08,840 --> 00:27:12,000 Speaker 1: it's increasing um their cost of borrowing a little bit more. 461 00:27:12,000 --> 00:27:14,920 Speaker 1: It's kind of like another two Fed hikes have happened 462 00:27:14,960 --> 00:27:18,720 Speaker 1: for borrowers who who tend to borrow against lieboard. Thanks 463 00:27:18,800 --> 00:27:21,040 Speaker 1: very much for being with us. Ira Jersey is always 464 00:27:21,040 --> 00:27:22,840 Speaker 1: an expert when it comes to interest rates. He's our 465 00:27:22,880 --> 00:27:30,560 Speaker 1: chief US interest rates strategist for Bloomberg Intelligence. Thanks for 466 00:27:30,640 --> 00:27:33,280 Speaker 1: listening to the Bloomberg P and L podcast. You can 467 00:27:33,320 --> 00:27:37,119 Speaker 1: subscribe and listen to interviews at Apple Podcasts, SoundCloud, or 468 00:27:37,160 --> 00:27:40,679 Speaker 1: whatever podcast platform you prefer. I'm pim Fox. I'm on 469 00:27:40,680 --> 00:27:44,560 Speaker 1: Twitter at pim Fox. I'm on Twitter at Lisa Abramo. 470 00:27:44,680 --> 00:27:47,280 Speaker 1: It's one before the podcast. You can always catch us 471 00:27:47,320 --> 00:27:48,879 Speaker 1: worldwide on Bloomberg Radio