1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penel Podcast. I'm Paul Sweene. You, 2 00:00:05,360 --> 00:00:07,680 Speaker 1: along with my co host Lisa Brahma Waits, each day 3 00:00:07,720 --> 00:00:10,240 Speaker 1: we bring you the most noteworthy and useful interviews for 4 00:00:10,280 --> 00:00:12,520 Speaker 1: you and your money. Whether at the grocery store or 5 00:00:12,560 --> 00:00:15,480 Speaker 1: the trading floor. Find a Bloomberg penl podcast on Apple 6 00:00:15,520 --> 00:00:17,960 Speaker 1: podcast or wherever you listen to podcasts, as well as 7 00:00:17,960 --> 00:00:23,680 Speaker 1: at Bloomberg dot com. Seeking with bond markets and also 8 00:00:23,800 --> 00:00:25,960 Speaker 1: just markets in general. I'm very pleased to say John 9 00:00:26,000 --> 00:00:28,560 Speaker 1: Authors joining us right now, joining us from our Bloomberg 10 00:00:28,560 --> 00:00:32,760 Speaker 1: Interactive Broker Studios. John Author, Senior editor for Bloomberg Markets. John, 11 00:00:32,800 --> 00:00:35,040 Speaker 1: I want to talk about at least start with a 12 00:00:35,040 --> 00:00:38,080 Speaker 1: Bank of America Maryland February Fund Manager survey that came 13 00:00:38,120 --> 00:00:40,720 Speaker 1: out this morning that showed, for the first time ever 14 00:00:40,800 --> 00:00:44,000 Speaker 1: in the history of this survey, UH investors thought that 15 00:00:44,280 --> 00:00:49,040 Speaker 1: long emerging markets is the most crowded trade. Yes, what 16 00:00:49,080 --> 00:00:52,239 Speaker 1: do you think that? I find it somewhat surprising. I 17 00:00:52,280 --> 00:00:54,360 Speaker 1: think it's probably got something to do with the country 18 00:00:54,360 --> 00:00:57,760 Speaker 1: of the blind. The one night Man is king um 19 00:00:57,800 --> 00:01:02,120 Speaker 1: on the basis of valuation, plainly, lots of people I 20 00:01:02,200 --> 00:01:04,480 Speaker 1: have to admit myself included. I've been making a point 21 00:01:04,480 --> 00:01:08,240 Speaker 1: for a long time that yes, emerging markets do indeed 22 00:01:08,280 --> 00:01:13,080 Speaker 1: look cheap UM. And the thing that bothers me about 23 00:01:13,120 --> 00:01:16,319 Speaker 1: this and why I suspect the people are talking to 24 00:01:16,360 --> 00:01:18,959 Speaker 1: be of a m l as as by saying it's 25 00:01:19,000 --> 00:01:21,760 Speaker 1: not popular but crowded, is that so much of it 26 00:01:21,840 --> 00:01:27,200 Speaker 1: realies on on the dollar. If you have a week dollar, 27 00:01:27,560 --> 00:01:31,759 Speaker 1: then this is a really good trade. I did just 28 00:01:32,120 --> 00:01:37,199 Speaker 1: check the numbers. The JP Morgan Emerging Markets Effects Index 29 00:01:37,440 --> 00:01:41,120 Speaker 1: is the most sort of popular agglomeration of being diseases, 30 00:01:41,200 --> 00:01:48,560 Speaker 1: up about five from a crushing horrific low set last fall. 31 00:01:49,400 --> 00:01:53,960 Speaker 1: It's still about one above its nady air or nadier 32 00:01:54,040 --> 00:01:56,280 Speaker 1: depending on which side of the Atlantic you are. That 33 00:01:56,360 --> 00:01:59,240 Speaker 1: it was that it sets early in twenty sixteen in 34 00:01:59,280 --> 00:02:01,760 Speaker 1: that very serious growth scared that we had at the 35 00:02:01,800 --> 00:02:06,840 Speaker 1: beginning of surrounding China. Uh. Plainly, there's a long way 36 00:02:06,880 --> 00:02:10,639 Speaker 1: to recover, but there is still quite a lot of 37 00:02:10,840 --> 00:02:14,440 Speaker 1: faith put in UM in the fits to be as 38 00:02:14,480 --> 00:02:17,680 Speaker 1: dubbish as it said it was recently, and in the U. 39 00:02:17,760 --> 00:02:20,360 Speaker 1: S economy to continue to push the help push the 40 00:02:20,360 --> 00:02:23,480 Speaker 1: dollar up. So, John, what else do you think this trade? 41 00:02:23,520 --> 00:02:26,680 Speaker 1: This emerging markets trade getting crowded. Does that reflect you 42 00:02:26,720 --> 00:02:31,799 Speaker 1: think investors, I guess sentiment that some trade deal with 43 00:02:31,880 --> 00:02:35,120 Speaker 1: China will be achieved, tensions will come down, and that 44 00:02:35,160 --> 00:02:38,440 Speaker 1: will help EM across the board. I mean, it's certainly 45 00:02:38,480 --> 00:02:41,919 Speaker 1: the case that UM people are working on the assumption 46 00:02:42,000 --> 00:02:45,359 Speaker 1: that the single most likely scenario is that some kind 47 00:02:45,400 --> 00:02:50,480 Speaker 1: of a deal is reached because it's in the interests 48 00:02:50,480 --> 00:02:54,680 Speaker 1: of both sides to do so. I think you do, however, 49 00:02:54,880 --> 00:02:59,320 Speaker 1: have to call into question whether I'm not saying that 50 00:02:59,600 --> 00:03:02,400 Speaker 1: the president done to his team are cynics, but they 51 00:03:02,440 --> 00:03:05,399 Speaker 1: have to ask themselves. This goes back to the West Wing, 52 00:03:05,440 --> 00:03:08,320 Speaker 1: which I've been binge watching while I wasn't terribly well 53 00:03:08,320 --> 00:03:13,520 Speaker 1: over Christmas. The the the whether he wants an issue 54 00:03:14,080 --> 00:03:18,239 Speaker 1: or a victory. If he wants an issue, maybe he 55 00:03:18,760 --> 00:03:23,480 Speaker 1: pushes ahead and lets uh and and we actually get 56 00:03:23,880 --> 00:03:27,680 Speaker 1: a ratcheting up of the trade confrontation with China. I 57 00:03:27,720 --> 00:03:31,040 Speaker 1: don't think. I certainly think there is. And this is 58 00:03:31,080 --> 00:03:34,240 Speaker 1: one of the points that that that you know that 59 00:03:34,240 --> 00:03:37,040 Speaker 1: that the Trump supporters make often and I think it's 60 00:03:37,040 --> 00:03:39,800 Speaker 1: probably correct, is that if you want to get China 61 00:03:39,880 --> 00:03:43,320 Speaker 1: at a point of weakness, this is the best time 62 00:03:43,440 --> 00:03:45,680 Speaker 1: to try to raise this point in quite a long time. 63 00:03:45,880 --> 00:03:48,839 Speaker 1: You know, it's interesting to me. You talked about the dollar, right, 64 00:03:48,880 --> 00:03:51,080 Speaker 1: and then we brought up the trade issue and a 65 00:03:51,120 --> 00:03:57,800 Speaker 1: deal with China, which is more important. The thing that 66 00:03:57,840 --> 00:04:03,000 Speaker 1: matters most um by far, I think is the underlying 67 00:04:03,000 --> 00:04:06,680 Speaker 1: health of China. Uh and everything else is a symptom 68 00:04:06,720 --> 00:04:08,760 Speaker 1: of ratchets off it. I like that you say that, because, 69 00:04:08,800 --> 00:04:11,160 Speaker 1: in other words, you're not You're not going to just 70 00:04:11,200 --> 00:04:13,600 Speaker 1: say trade and some kind of trading room, because that's 71 00:04:13,680 --> 00:04:15,800 Speaker 1: kind of facile when it comes to Chin to slow 72 00:04:15,840 --> 00:04:18,320 Speaker 1: down in the economy, which goes deeper and had it 73 00:04:18,360 --> 00:04:21,320 Speaker 1: was sort of they're regardless. Not so long since the 74 00:04:21,400 --> 00:04:24,640 Speaker 1: outgoing head of the People's Bank of China said, are 75 00:04:24,640 --> 00:04:26,800 Speaker 1: we going to have a Minsky? We've got to be careful. 76 00:04:26,800 --> 00:04:29,479 Speaker 1: We don't have a Minsky moment in China for the 77 00:04:29,560 --> 00:04:32,560 Speaker 1: head of a central bank to use language like that. 78 00:04:33,080 --> 00:04:36,880 Speaker 1: For readers, the most of the readers old newspaper man 79 00:04:37,000 --> 00:04:41,000 Speaker 1: for listeners out there, For listeners out there, I'm still 80 00:04:41,000 --> 00:04:44,240 Speaker 1: getting better for listeners out there, a Minsky moment. The 81 00:04:44,320 --> 00:04:46,760 Speaker 1: last time we had a Minsky moment was when Lehman 82 00:04:46,839 --> 00:04:50,799 Speaker 1: brothers went down. A Minsky moment is a catastrophic loss 83 00:04:50,839 --> 00:04:56,400 Speaker 1: of confidence in debt. Uh central bank governors never ever 84 00:04:56,760 --> 00:04:59,279 Speaker 1: ever speculate in public about whether there's going to be 85 00:04:59,279 --> 00:05:01,400 Speaker 1: a Minsky moment to except the head of the second 86 00:05:01,400 --> 00:05:04,000 Speaker 1: most important central bank in the planet did do so 87 00:05:04,080 --> 00:05:07,520 Speaker 1: not so long ago. Uh So that's still, it seems 88 00:05:07,560 --> 00:05:09,760 Speaker 1: to me, is the greatest concern. There's a very there's 89 00:05:09,760 --> 00:05:12,200 Speaker 1: a cartoon that has done. It's done the rounds of 90 00:05:12,200 --> 00:05:15,360 Speaker 1: social media many times from HEDGEI where you've seen this, 91 00:05:15,520 --> 00:05:18,359 Speaker 1: say this, this guy on a on a on a 92 00:05:19,760 --> 00:05:22,839 Speaker 1: the boat from Jaws pointing at this rather pathetic little 93 00:05:22,839 --> 00:05:26,640 Speaker 1: shark going with tariffs written on it, shouting shark. Meanwhile, 94 00:05:26,680 --> 00:05:31,280 Speaker 1: this giants octopus is surrounding the boat with its tentacles 95 00:05:31,279 --> 00:05:34,920 Speaker 1: and pulling it down, and the octopus is marked Chinese economy. 96 00:05:35,480 --> 00:05:40,080 Speaker 1: And that I think I've seen that brought up by bulls, 97 00:05:40,120 --> 00:05:43,600 Speaker 1: by bears, by people who pathologically hate China, by people 98 00:05:43,640 --> 00:05:47,120 Speaker 1: of perma bullish on China. That is ultimately where it is. 99 00:05:47,160 --> 00:05:55,159 Speaker 1: I think trade barring real stupidity and nobody given what's 100 00:05:55,160 --> 00:05:58,120 Speaker 1: going on back at home, we can't rule that out 101 00:05:59,720 --> 00:06:02,280 Speaker 1: by in real stupidity. I don't think trade is as 102 00:06:02,279 --> 00:06:04,599 Speaker 1: big a deal as whether China can somehow or other 103 00:06:04,600 --> 00:06:07,720 Speaker 1: deal with this huge amount of credit it's got outstanding. 104 00:06:07,960 --> 00:06:11,159 Speaker 1: You mentioned home. I'm assumming that's not New Jersey or 105 00:06:11,200 --> 00:06:13,680 Speaker 1: Long Island. Give us twenty seconds on what you think 106 00:06:13,680 --> 00:06:16,039 Speaker 1: the latest is on Brexit. The latest I think the 107 00:06:16,040 --> 00:06:20,960 Speaker 1: most significant thing that Theresa May said today was that 108 00:06:21,200 --> 00:06:23,960 Speaker 1: she thinks it's not going to take them the three 109 00:06:24,160 --> 00:06:26,520 Speaker 1: weeks that had it had been thought it would take 110 00:06:26,839 --> 00:06:30,480 Speaker 1: to clear any deal that's voted by Parliament. She says 111 00:06:30,480 --> 00:06:34,960 Speaker 1: that it's possible to put it through on a fast track, 112 00:06:35,640 --> 00:06:39,040 Speaker 1: which basically means that she thinks she can wait literally 113 00:06:39,120 --> 00:06:43,240 Speaker 1: until one week before Britain is due to leave and 114 00:06:43,360 --> 00:06:45,840 Speaker 1: put it to a vote. So we have the same 115 00:06:46,360 --> 00:06:49,400 Speaker 1: tractic as before, which has always been to run out 116 00:06:49,440 --> 00:06:52,400 Speaker 1: the clock, taken ever to ever greater extremes as we 117 00:06:52,520 --> 00:06:56,000 Speaker 1: get to the end of the clock. So it's a mass. Basically, Yes, 118 00:06:56,680 --> 00:06:59,640 Speaker 1: it's high it's high risk poker and who will blink first, 119 00:07:00,000 --> 00:07:01,560 Speaker 1: But it's a high risk poker game that's going to 120 00:07:01,680 --> 00:07:10,200 Speaker 1: take you know, months, years. Well, thank you so much 121 00:07:10,440 --> 00:07:12,880 Speaker 1: for being with us, John author A senior editor for 122 00:07:13,080 --> 00:07:28,640 Speaker 1: Bloomberg Market Well, Netflix has certainly validated the pay streaming 123 00:07:28,760 --> 00:07:30,520 Speaker 1: video model, and now we've got a bunch of other 124 00:07:30,520 --> 00:07:33,760 Speaker 1: media companies, including Disney, following suit. One of the real 125 00:07:33,840 --> 00:07:36,679 Speaker 1: questions is is there an opportunity for a free streaming 126 00:07:36,720 --> 00:07:38,880 Speaker 1: service and how can that be competitive in the marketplace. 127 00:07:38,920 --> 00:07:41,720 Speaker 1: So to help us kind of answer that question, um 128 00:07:41,800 --> 00:07:44,720 Speaker 1: joining us as Tara la Chapelle, Deals and media columnists 129 00:07:44,720 --> 00:07:46,800 Speaker 1: for Bloomberg Opinion. She joins us in New York here 130 00:07:46,800 --> 00:07:50,840 Speaker 1: in our Bloomberg Interactive Broker studio and Sarah How'sick columnist 131 00:07:50,840 --> 00:07:55,040 Speaker 1: at Bloomberg Opinion. She joins us in Washington, d C. Terrence, Sarah, welcome, 132 00:07:55,440 --> 00:07:57,880 Speaker 1: uh ter, give us a sense of we we know 133 00:07:58,000 --> 00:08:01,920 Speaker 1: how successful the Netflix of the world is. You pay 134 00:08:01,920 --> 00:08:03,520 Speaker 1: your ten twelve bucks a month and you get all 135 00:08:03,560 --> 00:08:07,000 Speaker 1: this great content. Talk to us about the free streaming market. 136 00:08:07,040 --> 00:08:09,360 Speaker 1: What are what are some of the opportunities there. So 137 00:08:09,400 --> 00:08:11,800 Speaker 1: what we're seeing is sort of a bifurcation of this 138 00:08:11,920 --> 00:08:15,320 Speaker 1: streaming market, and it's sort of nascent days where Disney 139 00:08:15,320 --> 00:08:16,880 Speaker 1: and A T and T and the companies that think 140 00:08:16,880 --> 00:08:19,119 Speaker 1: they have a lot of brand power and pricing power 141 00:08:19,160 --> 00:08:23,360 Speaker 1: are basically trying to replicate Netflix with subscription video services 142 00:08:23,360 --> 00:08:25,640 Speaker 1: of all different kinds. And then you have on the 143 00:08:25,640 --> 00:08:29,760 Speaker 1: other side of the market the Roku channel to be 144 00:08:30,000 --> 00:08:33,120 Speaker 1: Pluto TV, some names that may not be as well known, 145 00:08:33,240 --> 00:08:36,160 Speaker 1: but they're generating a lot of subscribers, people that are 146 00:08:36,160 --> 00:08:38,840 Speaker 1: looking to save money their free streaming services, which in 147 00:08:38,920 --> 00:08:41,480 Speaker 1: media we know free just means AD supported. So you're 148 00:08:41,520 --> 00:08:45,720 Speaker 1: the product and they're basically, you know, seeing that consumers, 149 00:08:45,840 --> 00:08:49,040 Speaker 1: certain number of consumers are willing to tolerate ads and 150 00:08:49,320 --> 00:08:51,120 Speaker 1: have a sort of I guess you would say mediocre 151 00:08:51,200 --> 00:08:54,600 Speaker 1: service relative to like a Netflix or an HBO and 152 00:08:54,800 --> 00:08:56,480 Speaker 1: be able to watch TV and not have to pay 153 00:08:56,520 --> 00:09:00,000 Speaker 1: for cable and just pay their internet fees. So Sarah, 154 00:09:00,080 --> 00:09:02,600 Speaker 1: come on in here to get a sense of some 155 00:09:02,679 --> 00:09:08,319 Speaker 1: examples of how companies have gained market share substantially by 156 00:09:08,400 --> 00:09:12,839 Speaker 1: a with this free approach while remaining solvent. Yeah. So 157 00:09:12,920 --> 00:09:15,280 Speaker 1: I think that the e commerce world provides a really 158 00:09:15,320 --> 00:09:18,640 Speaker 1: instructive example. Um, and this is a place where a 159 00:09:18,679 --> 00:09:21,760 Speaker 1: lot of retailers have made the bet to that between 160 00:09:21,800 --> 00:09:25,000 Speaker 1: when consumers are choosing between free shipping and fast shipping, 161 00:09:25,400 --> 00:09:27,080 Speaker 1: that they're going to want to get it for free 162 00:09:27,080 --> 00:09:29,000 Speaker 1: that they're going to want to save money. UM, and 163 00:09:29,080 --> 00:09:31,280 Speaker 1: Amazon I think is the shining example of how this 164 00:09:31,360 --> 00:09:33,920 Speaker 1: has paid off. That was a core promise of the 165 00:09:33,960 --> 00:09:37,360 Speaker 1: Prime membership and how they brought people into that ecosystem 166 00:09:37,400 --> 00:09:39,560 Speaker 1: to begin with was that people didn't want to have 167 00:09:39,640 --> 00:09:42,960 Speaker 1: to pay for shipping on each transaction. And it's really 168 00:09:43,000 --> 00:09:45,959 Speaker 1: interesting because an e commerce we've seen all this innovation 169 00:09:46,320 --> 00:09:50,120 Speaker 1: around speed. We see same day delivery now even two 170 00:09:50,120 --> 00:09:53,400 Speaker 1: hour and one hour delivery available in certain markets, but 171 00:09:53,520 --> 00:09:56,720 Speaker 1: shoppers just remain wedded to free shipping. So in a 172 00:09:56,760 --> 00:09:59,959 Speaker 1: survey that was conducted this holiday season by Deloitte can, 173 00:10:00,040 --> 00:10:02,959 Speaker 1: sumers were asked which of the following two promises is 174 00:10:03,000 --> 00:10:05,920 Speaker 1: more important to you in online shopping, free shipping or 175 00:10:05,920 --> 00:10:10,320 Speaker 1: fast shipping. Of them chose free, So UM. I think 176 00:10:10,360 --> 00:10:12,920 Speaker 1: it's a powerful example to the streaming world in that 177 00:10:13,200 --> 00:10:16,559 Speaker 1: we've seen in e commerce consumers are willing to sacrifice 178 00:10:16,600 --> 00:10:19,280 Speaker 1: speed in order to not pay money. And I think 179 00:10:19,280 --> 00:10:22,520 Speaker 1: with TV we will see a cohort of consumers that's 180 00:10:22,520 --> 00:10:26,120 Speaker 1: willing to sacrifice quality programming to not pay money. Yeah. 181 00:10:26,160 --> 00:10:28,520 Speaker 1: I love how you guys kind of woven the whole 182 00:10:28,559 --> 00:10:31,679 Speaker 1: concept of how people like free stuff free shipping and 183 00:10:31,720 --> 00:10:35,600 Speaker 1: how important it's becoming into the content business because you know, 184 00:10:35,840 --> 00:10:38,559 Speaker 1: it's a little bit counterintuitive just given how successful Netflix 185 00:10:38,600 --> 00:10:40,760 Speaker 1: has been and even Hulu is having some success when 186 00:10:40,760 --> 00:10:43,840 Speaker 1: their streaming in Amazon Prime, um tera. What kind of 187 00:10:44,080 --> 00:10:46,560 Speaker 1: programming if I go to this type of service, Like 188 00:10:46,720 --> 00:10:48,719 Speaker 1: let's take a look at Viacom. They just paid three 189 00:10:49,000 --> 00:10:50,959 Speaker 1: forty million dollars for Pluto TV. If I were to 190 00:10:51,000 --> 00:10:53,640 Speaker 1: go onto Pluto TV or something like that, what kind 191 00:10:53,640 --> 00:10:55,080 Speaker 1: of content am I going to find? Yeah, I mean 192 00:10:55,080 --> 00:10:57,160 Speaker 1: there's some channels you would recognize. I mean, I think 193 00:10:57,160 --> 00:11:00,000 Speaker 1: Bloomberg TV is on there. Um. But yeah, I mean 194 00:11:00,000 --> 00:11:01,480 Speaker 1: you're not going to get everything. And I think that's 195 00:11:01,480 --> 00:11:04,480 Speaker 1: the point. You know, some networks, like smaller network owners 196 00:11:04,520 --> 00:11:07,160 Speaker 1: like Viacom and Discovery which now owns scripts. You know 197 00:11:07,200 --> 00:11:09,160 Speaker 1: that we're kind of feeling a little a little bit 198 00:11:09,240 --> 00:11:12,160 Speaker 1: left out of these higher costs uh O T T 199 00:11:13,000 --> 00:11:17,240 Speaker 1: streaming products. We're looking to these free streaming options because 200 00:11:17,280 --> 00:11:20,040 Speaker 1: you know, there's their shows do generate a lot of 201 00:11:20,120 --> 00:11:22,880 Speaker 1: viewers um which are important to advertisers. And to the 202 00:11:22,920 --> 00:11:25,200 Speaker 1: extent that you could have a free product supported entirely 203 00:11:25,200 --> 00:11:27,880 Speaker 1: by advertising. You know that serves a certain segment of 204 00:11:27,880 --> 00:11:31,200 Speaker 1: the market. I mean, the especially lower income consumers, which 205 00:11:31,240 --> 00:11:33,720 Speaker 1: I would hazard to guess is maybe even a growing 206 00:11:33,760 --> 00:11:36,000 Speaker 1: segment of the market, so to the extent that you're 207 00:11:36,040 --> 00:11:39,120 Speaker 1: trying to reach those people in a world where this 208 00:11:39,240 --> 00:11:43,839 Speaker 1: Balkanization of the TV industry is making these services expensive, 209 00:11:43,880 --> 00:11:46,240 Speaker 1: you know, and everyone's having to think about, well, if 210 00:11:46,280 --> 00:11:47,920 Speaker 1: I want HBO, I'm going to need a T and 211 00:11:47,960 --> 00:11:50,319 Speaker 1: T S product, But I want Netflix, but I also 212 00:11:50,360 --> 00:11:53,880 Speaker 1: want this other thing, and well, Tara, just to that point, 213 00:11:53,960 --> 00:11:57,200 Speaker 1: I have to wonder, do we see people going to 214 00:11:57,320 --> 00:12:02,000 Speaker 1: these free online streaming services in lieu of the cable giants, 215 00:12:02,960 --> 00:12:06,120 Speaker 1: the cored types of services, or in lieu of Netflix. 216 00:12:06,120 --> 00:12:08,679 Speaker 1: In other words, who's losing the business to these to 217 00:12:08,800 --> 00:12:11,760 Speaker 1: these sort of free online services. It's hard to know 218 00:12:11,920 --> 00:12:14,280 Speaker 1: right now, but I imagine that what we're seeing are 219 00:12:14,320 --> 00:12:16,840 Speaker 1: younger people or people looking to save money going to 220 00:12:16,880 --> 00:12:19,680 Speaker 1: these free services, which means they likely have an Internet connection, 221 00:12:20,080 --> 00:12:22,719 Speaker 1: maybe they still have cable, or maybe they have Netflix. 222 00:12:23,000 --> 00:12:25,160 Speaker 1: But I did a survey recently, and you know, it 223 00:12:25,240 --> 00:12:27,680 Speaker 1: was only a hundred or so people, but it seems 224 00:12:27,679 --> 00:12:30,319 Speaker 1: like people really value Netflix. They don't value it enough 225 00:12:30,480 --> 00:12:33,480 Speaker 1: to be willing to cut the cord and only have Netflix. 226 00:12:33,920 --> 00:12:36,559 Speaker 1: They do want other things. So maybe a Netflix and 227 00:12:36,600 --> 00:12:39,079 Speaker 1: a free live TV streaming service is a is a 228 00:12:39,080 --> 00:12:42,079 Speaker 1: good little combination for some people. Um. And at the 229 00:12:42,120 --> 00:12:43,960 Speaker 1: same time, they're also said that they're willing to pay 230 00:12:43,960 --> 00:12:46,080 Speaker 1: more than they already do for Netflix. The average response 231 00:12:46,120 --> 00:12:47,880 Speaker 1: I got when I asked about that was nineteen dollars 232 00:12:47,880 --> 00:12:50,400 Speaker 1: a month. There's a lot of value in Netflix. And 233 00:12:50,640 --> 00:12:53,800 Speaker 1: when I think about people trying to navigate this very jumbled, 234 00:12:53,840 --> 00:12:57,480 Speaker 1: confusing marketplace and trying to save money, you know, Netflix 235 00:12:57,559 --> 00:12:59,880 Speaker 1: is very simple and easy and that's sort of the 236 00:13:00,000 --> 00:13:02,520 Speaker 1: beauty of it, and it's not very expensive. And then 237 00:13:02,559 --> 00:13:04,120 Speaker 1: maybe you know, a free service is the way that 238 00:13:04,120 --> 00:13:07,480 Speaker 1: you get your fixed with some reality TV shows. So, Sarah, 239 00:13:07,559 --> 00:13:10,280 Speaker 1: what have you guys in your reporting got any sense 240 00:13:10,280 --> 00:13:13,240 Speaker 1: of the advertiser support for this product? Did the advertisers 241 00:13:13,280 --> 00:13:17,200 Speaker 1: view this as a viable place to put their dollars? Uh? 242 00:13:17,240 --> 00:13:18,960 Speaker 1: You know, I'm not sure Tera might be a better 243 00:13:18,960 --> 00:13:22,040 Speaker 1: equipped answer a question about where the advertisers are putting 244 00:13:22,080 --> 00:13:24,680 Speaker 1: their dollars, but I do think that, Um, it's interesting 245 00:13:24,760 --> 00:13:28,679 Speaker 1: the ripple effect of people's preferences for free control up 246 00:13:28,679 --> 00:13:30,760 Speaker 1: in ways you don't even expect, and I think that 247 00:13:30,800 --> 00:13:32,640 Speaker 1: will be important for the TV guys to keep in 248 00:13:32,679 --> 00:13:35,280 Speaker 1: mind too. So I think in e commerce, what we've 249 00:13:35,280 --> 00:13:38,040 Speaker 1: seen is this preference for free shipping has really driven 250 00:13:38,120 --> 00:13:41,520 Speaker 1: folks to click and collect services where you buy something 251 00:13:41,559 --> 00:13:44,280 Speaker 1: online and pick up in store. That's the most prominent 252 00:13:44,320 --> 00:13:46,600 Speaker 1: reason that people choose that, and then that ends up 253 00:13:46,600 --> 00:13:49,679 Speaker 1: providing this other opportunity for the retailer for what is 254 00:13:49,720 --> 00:13:52,480 Speaker 1: known as attachment spending, meaning typically when people come in 255 00:13:52,520 --> 00:13:55,280 Speaker 1: to pick up their online or they ended up buying 256 00:13:55,320 --> 00:13:57,559 Speaker 1: twenty to four dollars worth of stuff that they didn't 257 00:13:57,559 --> 00:14:00,920 Speaker 1: even realize they needed. Um. And so I think these 258 00:14:01,520 --> 00:14:05,120 Speaker 1: these free programs had the opportunity to become something else 259 00:14:05,640 --> 00:14:08,080 Speaker 1: for these streaming services in the same way that they 260 00:14:08,120 --> 00:14:10,760 Speaker 1: did for e commerce. Tara just real quickly. I'm wondering, 261 00:14:10,760 --> 00:14:14,000 Speaker 1: what about from the advertiser's perspective, are they willing to 262 00:14:14,160 --> 00:14:17,480 Speaker 1: pay up on for some of these free services, given 263 00:14:17,520 --> 00:14:20,400 Speaker 1: the fact that they funnel so much spending towards uh, 264 00:14:20,440 --> 00:14:23,440 Speaker 1: the amazons and the things. I mean, we've got to 265 00:14:23,440 --> 00:14:26,240 Speaker 1: see what kind of viewership these services get. I mean, 266 00:14:26,240 --> 00:14:28,840 Speaker 1: it's still very early days. But I know via common 267 00:14:28,880 --> 00:14:31,440 Speaker 1: standpoint with this Pluto deal was that you know, they 268 00:14:31,480 --> 00:14:34,480 Speaker 1: have a telefay in Latin America, and you know, maybe 269 00:14:34,520 --> 00:14:37,680 Speaker 1: they could marry some of their Spanish language programming with Pluto, 270 00:14:37,720 --> 00:14:40,480 Speaker 1: which has a younger audience, which has a big Hispanic audience, 271 00:14:40,800 --> 00:14:44,240 Speaker 1: and not a lot of advertisers are successfully targeting that 272 00:14:44,360 --> 00:14:46,200 Speaker 1: right now in a very narrow way. So maybe this 273 00:14:46,280 --> 00:14:49,880 Speaker 1: is an opportunity from an advertiser standpoint with this service. 274 00:14:49,920 --> 00:14:51,600 Speaker 1: So I think there's like unique ways that they're looking 275 00:14:51,600 --> 00:14:54,480 Speaker 1: at it and trying to meet those consumers that aren't 276 00:14:54,520 --> 00:14:56,880 Speaker 1: the ones that are going to just pay for every 277 00:14:56,880 --> 00:14:59,160 Speaker 1: service out there and have you know, already have every 278 00:14:59,160 --> 00:15:01,600 Speaker 1: device and they've got an Xbox and they've got Apple TV. 279 00:15:01,720 --> 00:15:03,200 Speaker 1: You know, there are a lot of people that don't, 280 00:15:03,560 --> 00:15:06,040 Speaker 1: and so I think that's where maybe these mortgage products 281 00:15:06,080 --> 00:15:09,280 Speaker 1: are going for really really interesting column Thank you so 282 00:15:09,360 --> 00:15:10,800 Speaker 1: much for being with us, both of you, Tera La 283 00:15:10,920 --> 00:15:14,800 Speaker 1: Chapelle Deals and media columnists Sarah HOW'SAC columnists covering the 284 00:15:14,920 --> 00:15:18,160 Speaker 1: retail sector for Bloomberg Opinion. Both of you, thank you 285 00:15:18,240 --> 00:15:31,200 Speaker 1: for being with us. Well, we are two days away 286 00:15:31,200 --> 00:15:34,160 Speaker 1: from Valentine's Day. The pressure is building to get that 287 00:15:34,360 --> 00:15:37,520 Speaker 1: right gift, and flowers always make the right gift for 288 00:15:37,600 --> 00:15:41,080 Speaker 1: Valentine's Day. And who better to help us break down 289 00:15:41,120 --> 00:15:43,960 Speaker 1: the business of the flowers than Chris McCann. And Chris 290 00:15:44,000 --> 00:15:47,320 Speaker 1: is president and CEO of one flowers dot com. Uh. 291 00:15:47,320 --> 00:15:49,760 Speaker 1: He companies based on Long Island City, but he joins 292 00:15:49,840 --> 00:15:52,680 Speaker 1: us here in our Bloomberg eleven three studios. So, Chris, 293 00:15:53,160 --> 00:15:56,040 Speaker 1: we are two days away from Valentine's Day, people always 294 00:15:56,200 --> 00:15:59,280 Speaker 1: fall back on that classic gift of flowers. How big 295 00:15:59,680 --> 00:16:02,440 Speaker 1: is Valentine's Day? That time period of Valentine's Day to 296 00:16:02,480 --> 00:16:04,640 Speaker 1: your business? Every year? It's such an important day for 297 00:16:04,720 --> 00:16:07,560 Speaker 1: us because it's so important to our customers, and it's 298 00:16:07,600 --> 00:16:09,800 Speaker 1: a nice spike for us. It's about ten percent of 299 00:16:09,880 --> 00:16:13,320 Speaker 1: out consumer floral segments annual business, but it's really only 300 00:16:13,400 --> 00:16:16,600 Speaker 1: less than five percent about total companies business because today 301 00:16:16,640 --> 00:16:19,800 Speaker 1: half of our businesses come from our gourmet food brands 302 00:16:19,840 --> 00:16:23,280 Speaker 1: like Harry and David and Cheryl's Cookies and simply Chocolate. 303 00:16:23,360 --> 00:16:27,280 Speaker 1: We really built the celebratory echo system. All right, Paul, 304 00:16:27,320 --> 00:16:29,440 Speaker 1: are you buying flowers for your wife? I think I 305 00:16:29,520 --> 00:16:31,080 Speaker 1: might be buying flowers for my wife. What kind of 306 00:16:31,080 --> 00:16:33,720 Speaker 1: flowers are gonna be buying. Um, I'm not really sure. 307 00:16:33,920 --> 00:16:36,320 Speaker 1: Maybe you know, Chris can give what's the most popular 308 00:16:36,320 --> 00:16:41,480 Speaker 1: flower rangement right now and not committing. He's also very 309 00:16:41,600 --> 00:16:44,840 Speaker 1: very traditional guy, so I'll recommend roses. I'll put a 310 00:16:44,840 --> 00:16:47,400 Speaker 1: little spin. Trending this year is hot pink roses, So 311 00:16:49,240 --> 00:16:53,360 Speaker 1: that's really wild. I'm wondering you mentioned about food. You know, 312 00:16:53,920 --> 00:16:56,760 Speaker 1: is food becoming a more popular option chocolate, for example, 313 00:16:56,840 --> 00:17:00,000 Speaker 1: over flowers, or is you know, as that mixed continue 314 00:17:00,040 --> 00:17:02,760 Speaker 1: you just sort of more steadily skewed toward the food offerings. Well, 315 00:17:02,760 --> 00:17:04,840 Speaker 1: I don't think it's instead of flowers. What we find 316 00:17:04,880 --> 00:17:07,840 Speaker 1: with food offerings, especially from our brands like Harry and David, 317 00:17:07,880 --> 00:17:10,959 Speaker 1: are simply chocolate that they're big around the Christmas season 318 00:17:11,200 --> 00:17:14,040 Speaker 1: and the complimentary to other gifts throughout the year. Okay, 319 00:17:14,040 --> 00:17:16,480 Speaker 1: hold on a second. How much has the average spending 320 00:17:16,480 --> 00:17:19,240 Speaker 1: on Valentine's Day changed over time? I mean, are people 321 00:17:19,280 --> 00:17:21,600 Speaker 1: just going crazy and hog wild here? I hope? So 322 00:17:22,920 --> 00:17:24,600 Speaker 1: I know we have a sense of, you know, what 323 00:17:24,640 --> 00:17:27,639 Speaker 1: the direction is of the overall spending. Well and expects 324 00:17:27,640 --> 00:17:29,719 Speaker 1: it to be up about four or five percent this year, 325 00:17:29,760 --> 00:17:33,439 Speaker 1: about a hundred and sixties six dollars on average Valentine celebration. 326 00:17:33,640 --> 00:17:37,080 Speaker 1: I hope most of that includes flowers and chocolates, but 327 00:17:37,240 --> 00:17:39,360 Speaker 1: it's so it's expected to be up again this year, 328 00:17:39,359 --> 00:17:42,640 Speaker 1: which is very nice. And what sixty hundred and sixty 329 00:17:42,680 --> 00:17:48,720 Speaker 1: six you're looking at me? Okay, interesting, Chris? So what 330 00:17:48,800 --> 00:17:51,479 Speaker 1: are you seeing? You know, you've been in this business 331 00:17:51,840 --> 00:17:56,119 Speaker 1: thirty years? Thirty five years? How is consumer? How's the 332 00:17:56,160 --> 00:17:59,720 Speaker 1: consumer change? And how's the consumer perceives gift giving not 333 00:17:59,800 --> 00:18:03,040 Speaker 1: just Valentine's Day? How the trends changed across the board. Well, 334 00:18:03,080 --> 00:18:05,200 Speaker 1: what we're just seeing is that the consumers are really 335 00:18:05,240 --> 00:18:08,200 Speaker 1: looking for ways to express, connect and celebrate. And then 336 00:18:08,240 --> 00:18:11,560 Speaker 1: this technological world that we live in, this interconnected world, 337 00:18:11,760 --> 00:18:13,520 Speaker 1: we're looking to see how do we bring the human 338 00:18:13,560 --> 00:18:15,879 Speaker 1: back into the process more. And that's what we do 339 00:18:15,960 --> 00:18:18,760 Speaker 1: as a company, really to help you express yourself, that 340 00:18:18,840 --> 00:18:22,640 Speaker 1: we deliver smiles on your behalf. Now you're using technologies 341 00:18:22,640 --> 00:18:24,960 Speaker 1: more and more to do that in all different forms, 342 00:18:24,960 --> 00:18:30,200 Speaker 1: whether it be AI capabilities, whether it be voice computing capabilities, chatbots. 343 00:18:30,240 --> 00:18:33,080 Speaker 1: So that continues to change and that's our job. Make 344 00:18:33,119 --> 00:18:36,200 Speaker 1: it frictionless for you to express yourself, all right, So 345 00:18:36,520 --> 00:18:40,680 Speaker 1: one eight hundred flowers dot com is sort of an 346 00:18:40,680 --> 00:18:43,760 Speaker 1: example of how the world has changed in and of itself. 347 00:18:43,920 --> 00:18:46,960 Speaker 1: One eight hundred of flowers is the telephone number. But 348 00:18:47,000 --> 00:18:50,600 Speaker 1: since telephones have got out of style, dot com is there. 349 00:18:50,640 --> 00:18:53,600 Speaker 1: What is the proportion of online sales versus calls and 350 00:18:53,640 --> 00:18:56,080 Speaker 1: how has that shifted? So the one hundred flowers brand 351 00:18:56,080 --> 00:18:58,080 Speaker 1: and some of our younger customers may not know what 352 00:18:58,119 --> 00:19:03,280 Speaker 1: that means. Uh, really the numbers, the eight hundred is 353 00:19:03,320 --> 00:19:06,960 Speaker 1: often a toll free number you do not know. But 354 00:19:07,040 --> 00:19:11,080 Speaker 1: aboutent of that brand's business comes online, and when I 355 00:19:11,080 --> 00:19:13,880 Speaker 1: say online, more and more of that coming from mobile devices. 356 00:19:14,080 --> 00:19:16,600 Speaker 1: More than half of our traffic this holiday is from 357 00:19:16,600 --> 00:19:20,600 Speaker 1: mobile devices. So talk to us about the supply of flowers. 358 00:19:20,680 --> 00:19:23,320 Speaker 1: Where do you get your flowers? How what's going on 359 00:19:23,320 --> 00:19:25,399 Speaker 1: with the cost of flowers? So I think about the 360 00:19:25,480 --> 00:19:29,040 Speaker 1: business of one flowers, Your raw material costs, your cost 361 00:19:29,080 --> 00:19:31,800 Speaker 1: to get sold are flowers? What's going on there? So 362 00:19:31,800 --> 00:19:34,879 Speaker 1: it's very interesting in flowers as the raw material costs 363 00:19:34,920 --> 00:19:37,760 Speaker 1: really haven't gone up because of technology improvements on the 364 00:19:37,800 --> 00:19:40,840 Speaker 1: supply chain over the last ten years, cost have remained stable, 365 00:19:40,880 --> 00:19:43,560 Speaker 1: if not down a little bit, and we import product. 366 00:19:43,640 --> 00:19:46,160 Speaker 1: A lot of the flowers come from South America, Columbia 367 00:19:46,200 --> 00:19:49,000 Speaker 1: and Ecuador, so of logistics get better and better. But 368 00:19:49,000 --> 00:19:52,280 Speaker 1: we're also seeing an increase in domestic production over the 369 00:19:52,320 --> 00:19:54,480 Speaker 1: last ten years and more and more flowers being grown 370 00:19:54,480 --> 00:19:57,440 Speaker 1: domestically here in the US. I'm going to be such 371 00:19:57,480 --> 00:19:59,280 Speaker 1: a debby downer. I'm gonna be made fun of this. 372 00:19:59,600 --> 00:20:03,480 Speaker 1: For years. How has global warming affected that? Oh? No, 373 00:20:03,720 --> 00:20:06,240 Speaker 1: we we haven't seen an effect on global warming on 374 00:20:06,320 --> 00:20:09,480 Speaker 1: our flour production even where you source them. Most of 375 00:20:09,480 --> 00:20:11,920 Speaker 1: the time it's sourced around the equator, which is hot 376 00:20:11,960 --> 00:20:14,359 Speaker 1: to begin with. Uh So, I think we've been fine 377 00:20:14,400 --> 00:20:16,760 Speaker 1: on that side of it. All, Right, what's what's how 378 00:20:16,840 --> 00:20:19,280 Speaker 1: big are you guys versus? Just size out the market 379 00:20:19,320 --> 00:20:20,840 Speaker 1: for me. I don't know if it's US or global, 380 00:20:20,880 --> 00:20:22,600 Speaker 1: and how big are you guys in that market? So 381 00:20:22,640 --> 00:20:25,399 Speaker 1: we're about overall about one point two billion of the 382 00:20:25,520 --> 00:20:28,439 Speaker 1: estimates that we'll do in revenue this year. We're growing 383 00:20:28,520 --> 00:20:31,000 Speaker 1: nicely with the leader in the floral category, where the 384 00:20:31,080 --> 00:20:33,879 Speaker 1: leader in the gourmet food category, and now we're starting 385 00:20:33,920 --> 00:20:37,119 Speaker 1: to expand into all the product categories as well, listening 386 00:20:37,119 --> 00:20:39,840 Speaker 1: to our customers as to what products they will use 387 00:20:40,119 --> 00:20:43,919 Speaker 1: to express, connect and celebrate. Thank you so much for 388 00:20:43,960 --> 00:20:47,680 Speaker 1: being with us. Chris McCann Happy Valentine's Day, Happy Valentine's 389 00:20:48,359 --> 00:21:02,560 Speaker 1: Chris McGann as CEO of what eight hundred flowers dot com. 390 00:21:02,560 --> 00:21:05,440 Speaker 1: So it looks like we have a border deal potentially, 391 00:21:05,440 --> 00:21:08,760 Speaker 1: which suggests that the US government will potentially remain open. 392 00:21:09,280 --> 00:21:11,040 Speaker 1: To get a sense of how the credit markets are 393 00:21:11,080 --> 00:21:13,320 Speaker 1: pricing in these developments, let's chat with our good friend 394 00:21:13,400 --> 00:21:16,479 Speaker 1: Ira Jersey iras a chief US interest rate strategist from 395 00:21:16,480 --> 00:21:19,440 Speaker 1: Bloomberg Intelligence. He comes to us from the phone from 396 00:21:19,440 --> 00:21:22,120 Speaker 1: bi's headquarters in Princeton, New Jersey, or I assume it's 397 00:21:22,119 --> 00:21:25,320 Speaker 1: snowing down there, Ira, does the bond market to what 398 00:21:25,400 --> 00:21:28,240 Speaker 1: extent does the bond market care about what's going on 399 00:21:28,480 --> 00:21:31,600 Speaker 1: with the border deal and the shutdowns and all of 400 00:21:31,640 --> 00:21:34,600 Speaker 1: the uncertainty. Yeah, hey, Paul, I'm actually in Washington, d C. 401 00:21:34,760 --> 00:21:37,040 Speaker 1: This week to you know, get a sense of what 402 00:21:37,119 --> 00:21:39,359 Speaker 1: life is here on the ground in politics, and it 403 00:21:39,400 --> 00:21:42,160 Speaker 1: does look like that, you know, thanks, that some deal 404 00:21:42,280 --> 00:21:44,959 Speaker 1: is going to be uh is going to be done? Uh? 405 00:21:45,040 --> 00:21:47,560 Speaker 1: You know that, I think for for fixed income markets 406 00:21:47,640 --> 00:21:51,639 Speaker 1: and for even risk asset markets in general, UM markets 407 00:21:51,680 --> 00:21:55,080 Speaker 1: don't like uncertainty. And when you have a resolution to 408 00:21:55,160 --> 00:21:57,800 Speaker 1: something like this, and that's gonna be good for risk assets. 409 00:21:57,840 --> 00:22:01,000 Speaker 1: You see equities up today, you see bond yields up today, 410 00:22:01,040 --> 00:22:03,800 Speaker 1: so so bonds doing doing poorly. So that's that's the 411 00:22:03,840 --> 00:22:07,800 Speaker 1: reaction that you'd expect from an optimistic set of circumstances 412 00:22:07,880 --> 00:22:11,399 Speaker 1: like like a deal. Um, I think what one thing 413 00:22:11,440 --> 00:22:13,720 Speaker 1: that I'll be looking for is does this deal also 414 00:22:13,760 --> 00:22:17,440 Speaker 1: include an extension of the debt ceiling? Because the debt 415 00:22:17,480 --> 00:22:21,280 Speaker 1: ceiling as we know, winds up expiring on on March one, 416 00:22:21,520 --> 00:22:23,560 Speaker 1: and then they the government will be able to use 417 00:22:23,600 --> 00:22:26,440 Speaker 1: extraordinary measures probably to get into the late summer, maybe 418 00:22:26,440 --> 00:22:30,320 Speaker 1: September October. It depends on a lot of variables. But um, 419 00:22:30,760 --> 00:22:33,040 Speaker 1: but if that's done, then then you know, quite frankly, 420 00:22:33,080 --> 00:22:35,280 Speaker 1: it's not something it's not a model that I like 421 00:22:35,400 --> 00:22:37,200 Speaker 1: to to have to do all the time and worry 422 00:22:37,240 --> 00:22:39,320 Speaker 1: about whether or not we're going to see the fault 423 00:22:39,320 --> 00:22:42,080 Speaker 1: on the US debt, because that is something that is 424 00:22:42,160 --> 00:22:45,240 Speaker 1: completely man made and not not a UM, it's a 425 00:22:45,240 --> 00:22:48,159 Speaker 1: political problem, it's not that's not a real economic problem. 426 00:22:48,200 --> 00:22:50,439 Speaker 1: I love that we can say in all seriousness, I 427 00:22:50,480 --> 00:22:52,920 Speaker 1: don't like modeling for us to fall to every two 428 00:22:52,920 --> 00:22:56,639 Speaker 1: weeks because it's just you know, especially since it's totally avoidable, 429 00:22:56,680 --> 00:22:58,840 Speaker 1: and this is sort of a serious discussion that is ongoing. 430 00:22:59,160 --> 00:23:01,560 Speaker 1: I want to pick up on what you're talking about, 431 00:23:01,600 --> 00:23:05,000 Speaker 1: which is the debt ceiling negotiations that are imminent. Uh, 432 00:23:05,040 --> 00:23:08,920 Speaker 1: the latest on the government shutdown is that President Trump 433 00:23:08,960 --> 00:23:11,560 Speaker 1: still hasn't decided whether or not he'll support the bipartisan 434 00:23:11,560 --> 00:23:14,200 Speaker 1: congressional agreement, so we don't even know whether we actually 435 00:23:14,240 --> 00:23:17,600 Speaker 1: have staved off a government shutdown. Is the sign that 436 00:23:17,720 --> 00:23:20,320 Speaker 1: bonds are not selling off more, in other words, that 437 00:23:20,400 --> 00:23:22,800 Speaker 1: yields are not rising more and that stocks are not 438 00:23:22,880 --> 00:23:26,040 Speaker 1: ralling more. Is that a sign that investors are still 439 00:23:26,160 --> 00:23:28,840 Speaker 1: very concerned about the debt ceiling negotiations and that there 440 00:23:28,920 --> 00:23:31,560 Speaker 1: is a real risk being priced into the market that 441 00:23:31,680 --> 00:23:34,960 Speaker 1: there could be some sort of more serious gridlock that 442 00:23:35,040 --> 00:23:38,000 Speaker 1: leads to another government shutdown. Well, I think I think 443 00:23:38,040 --> 00:23:40,720 Speaker 1: part of it is certainly is certainly the goings on 444 00:23:40,800 --> 00:23:43,719 Speaker 1: here in Washington. I think the the bigger question for 445 00:23:43,800 --> 00:23:46,000 Speaker 1: the bond market right now is how well this is 446 00:23:46,000 --> 00:23:50,199 Speaker 1: going to impact confidence and ultimately the ultimately the outcome 447 00:23:50,200 --> 00:23:51,760 Speaker 1: of the economy. You know, we we got some really 448 00:23:51,760 --> 00:23:54,720 Speaker 1: good data just twenty minutes ago with the Jolts data 449 00:23:54,760 --> 00:23:57,960 Speaker 1: showing that there's a lot of job openings, that there's 450 00:23:58,000 --> 00:23:59,720 Speaker 1: you know, it seems like at least on the job front, 451 00:23:59,720 --> 00:24:02,359 Speaker 1: things are good, but uh, there is I think a 452 00:24:02,359 --> 00:24:05,679 Speaker 1: lot of questions to how how confident both businesses and 453 00:24:05,800 --> 00:24:08,640 Speaker 1: consumers are going to be with an environment that's as 454 00:24:08,680 --> 00:24:13,040 Speaker 1: politically contentious as we have today. Um, and this isn't 455 00:24:13,080 --> 00:24:16,040 Speaker 1: the only the only thing that's that's worrying people, right, 456 00:24:16,080 --> 00:24:18,600 Speaker 1: So even if we get a budget deal and we 457 00:24:18,800 --> 00:24:20,480 Speaker 1: you know, avoid to shut down, even if we get 458 00:24:20,480 --> 00:24:22,879 Speaker 1: the debt limit uh done, then we still have a 459 00:24:22,880 --> 00:24:25,119 Speaker 1: lot of trade tensions that that people are going to 460 00:24:25,160 --> 00:24:27,760 Speaker 1: worry about. You are seeing some of that actually in 461 00:24:27,880 --> 00:24:31,399 Speaker 1: some of the data where you have seen some um 462 00:24:31,640 --> 00:24:36,000 Speaker 1: uh some real world data that's uh, that's showing that 463 00:24:36,000 --> 00:24:39,520 Speaker 1: that's having an impact on global trade and and that's 464 00:24:39,520 --> 00:24:41,159 Speaker 1: that's something I think that at least in the corporate 465 00:24:41,160 --> 00:24:43,000 Speaker 1: boardroom that you're going to have a lot of angst 466 00:24:43,000 --> 00:24:45,719 Speaker 1: about in the future if if it's not resolved, so 467 00:24:46,359 --> 00:24:48,600 Speaker 1: you're you're done in Washington, d c Uh, I'm sure 468 00:24:48,600 --> 00:24:50,240 Speaker 1: you're gonna wander up to the FED at some point. 469 00:24:50,280 --> 00:24:53,119 Speaker 1: But is I guess the consensus in the marketplace as 470 00:24:53,160 --> 00:24:55,160 Speaker 1: people you know, try to price in everything that's going 471 00:24:55,160 --> 00:24:58,639 Speaker 1: on in the market, economic, financial, geopolitical, is that the 472 00:24:58,680 --> 00:25:01,600 Speaker 1: FED has you know, maybe one or two rate increases 473 00:25:01,600 --> 00:25:03,600 Speaker 1: for the remainder of the year combined with a steady 474 00:25:03,680 --> 00:25:05,479 Speaker 1: roll off of the balance sheet. Is there anything that 475 00:25:05,520 --> 00:25:09,040 Speaker 1: you've seen, data wise or just discussions with clients that 476 00:25:09,080 --> 00:25:11,760 Speaker 1: would lead you to believe that that's there's material risk 477 00:25:11,840 --> 00:25:15,800 Speaker 1: to that kind of scenario. Yeah, So it's so they're 478 00:25:15,840 --> 00:25:18,080 Speaker 1: going to be very data dependent, and I actually think 479 00:25:18,119 --> 00:25:22,359 Speaker 1: that the um UH that that basically the level for 480 00:25:22,400 --> 00:25:24,399 Speaker 1: them to have to hike is they want to see 481 00:25:24,520 --> 00:25:29,119 Speaker 1: additional um UH, an additional inflation impulse. So our wage 482 00:25:29,119 --> 00:25:30,800 Speaker 1: growth that we're seeing at three and a half percent 483 00:25:30,880 --> 00:25:33,560 Speaker 1: a year, is that going to translate into higher inflation 484 00:25:33,600 --> 00:25:36,480 Speaker 1: going forward? Um you know, it tends to. It tends 485 00:25:36,520 --> 00:25:39,160 Speaker 1: to lead services inflation by a little by a little bit. 486 00:25:39,440 --> 00:25:42,720 Speaker 1: So if you see an inflationary impulse, we think that 487 00:25:42,720 --> 00:25:46,720 Speaker 1: that's something that's going to be needed for um UH 488 00:25:46,880 --> 00:25:48,840 Speaker 1: for the FED to to hike again later this year. 489 00:25:48,920 --> 00:25:51,200 Speaker 1: I don't think they're gonna hike before the third quarter. UM. 490 00:25:51,240 --> 00:25:53,359 Speaker 1: I think that they want to be data dependent. They 491 00:25:53,359 --> 00:25:56,200 Speaker 1: want to make sure that the economy is on stable 492 00:25:56,200 --> 00:25:58,359 Speaker 1: footing before they take any additional action. On the On 493 00:25:58,400 --> 00:26:00,640 Speaker 1: the other side, if something gets to rail and say 494 00:26:00,640 --> 00:26:03,320 Speaker 1: equity markets fall another ten percent from here or something 495 00:26:03,359 --> 00:26:06,000 Speaker 1: like that, UM, that would be something where they would, 496 00:26:06,080 --> 00:26:08,680 Speaker 1: you know, maybe be in more risk management mode, maybe 497 00:26:08,680 --> 00:26:11,240 Speaker 1: stop the FED to runoff, and then maybe even start 498 00:26:11,280 --> 00:26:14,080 Speaker 1: to talk about cutting interest rates. All right, I read 499 00:26:14,160 --> 00:26:16,600 Speaker 1: thirty seconds here. I'm looking at ten ten year treasury 500 00:26:16,640 --> 00:26:19,640 Speaker 1: yields now at two point six eight percent. Where would 501 00:26:19,680 --> 00:26:22,160 Speaker 1: they be if we did not have the trade negotiation 502 00:26:22,240 --> 00:26:25,639 Speaker 1: tensions or the prospect of a government shutdown? Yeah, we 503 00:26:25,680 --> 00:26:28,040 Speaker 1: have fair value closer to three percent, and we actually 504 00:26:28,040 --> 00:26:30,600 Speaker 1: think that that over time will probably get back up there. 505 00:26:31,160 --> 00:26:33,639 Speaker 1: Again that that's our forecast for for year end is 506 00:26:33,840 --> 00:26:36,440 Speaker 1: three plus or minus a few basis wents. In other words, 507 00:26:36,440 --> 00:26:39,320 Speaker 1: there's a discount of three tenths of one percentage point 508 00:26:39,800 --> 00:26:42,240 Speaker 1: UH that is being baked in due to the uncertainty 509 00:26:42,240 --> 00:26:45,240 Speaker 1: around some of these governments. It seems that way right now. Yeah, 510 00:26:45,600 --> 00:26:47,480 Speaker 1: really interesting. I Red Jersey, thank you so much for 511 00:26:47,520 --> 00:26:50,359 Speaker 1: being with us. Our Jersey chief US interest rate strategist 512 00:26:50,359 --> 00:26:53,280 Speaker 1: at Bloomberg Intelligence, joining us from Washington, d C. Where 513 00:26:53,280 --> 00:26:55,440 Speaker 1: he's going to try to understand everything that's going on there, 514 00:26:55,440 --> 00:26:57,280 Speaker 1: and he'll report back and we'll all make sense of it, 515 00:26:57,320 --> 00:27:00,480 Speaker 1: and then it will be complete. Thanks for listening to 516 00:27:00,480 --> 00:27:03,160 Speaker 1: the Bloomberg pen L podcast. You can subscribe and listen 517 00:27:03,200 --> 00:27:06,480 Speaker 1: to interviews at Apple Podcasts or whatever podcast platform you prefer. 518 00:27:06,760 --> 00:27:09,400 Speaker 1: I'm Paul Sweeney. I'm on Twitter at pt Sweeney. I'm 519 00:27:09,440 --> 00:27:12,360 Speaker 1: Lisa abram Woits. I'm on Twitter at Lisa Bramwoits. One 520 00:27:12,560 --> 00:27:15,159 Speaker 1: before the podcast, you can always catch us worldwide. I'm 521 00:27:15,200 --> 00:27:16,040 Speaker 1: Bloomberg Radio