1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,520 Speaker 1: Along with my co host Lisa Bramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:32,120 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. Right now, 7 00:00:32,159 --> 00:00:35,680 Speaker 1: I want to bring in Danny Blanchflower, professor of economics 8 00:00:35,720 --> 00:00:39,680 Speaker 1: at Dartmouth College, has a lot of experience watching UK 9 00:00:39,840 --> 00:00:44,920 Speaker 1: politics and the potential effects of these new political developments 10 00:00:45,040 --> 00:00:47,800 Speaker 1: on the economy. And Danny, we've already heard from some 11 00:00:47,840 --> 00:00:49,839 Speaker 1: people that the more turmoil there is here in the 12 00:00:49,840 --> 00:00:53,519 Speaker 1: more uncertainty around Brexit, the slower growth will be for 13 00:00:53,720 --> 00:00:56,480 Speaker 1: the United Kingdom. Do you agree does this outcome of 14 00:00:56,560 --> 00:01:00,640 Speaker 1: the election lower growth prospects for I'm not sure that 15 00:01:00,720 --> 00:01:02,760 Speaker 1: it does. I think what it does is it lowers 16 00:01:02,800 --> 00:01:07,199 Speaker 1: the prospect of a very hard Brexit in the sense 17 00:01:07,280 --> 00:01:12,480 Speaker 1: that it weakens Theresa May's bargaining position at a time 18 00:01:12,480 --> 00:01:14,959 Speaker 1: when the UK economy is growing really slowly, and in 19 00:01:15,040 --> 00:01:18,480 Speaker 1: fact it's actually the slowest growing G seven country and 20 00:01:18,520 --> 00:01:22,280 Speaker 1: the slowest growing country in the EU twenty eight. And 21 00:01:22,319 --> 00:01:25,480 Speaker 1: I think what it does compared to say yesterday, is 22 00:01:25,520 --> 00:01:28,720 Speaker 1: it raises the power of what they call the remainders, 23 00:01:29,480 --> 00:01:32,600 Speaker 1: because May is is trying to form a government which 24 00:01:32,600 --> 00:01:34,319 Speaker 1: looks like you probably is with an agreement with the 25 00:01:34,400 --> 00:01:39,800 Speaker 1: Ulster Unionists, but that's a very fragile coalition. Um and 26 00:01:39,840 --> 00:01:42,960 Speaker 1: Anna Subri in the example, the next Tory minister, Tory 27 00:01:43,080 --> 00:01:46,560 Speaker 1: MP has said May has to consider her position. We're 28 00:01:46,600 --> 00:01:48,640 Speaker 1: not going to go along with a hard Brexit. So 29 00:01:48,680 --> 00:01:51,520 Speaker 1: I think in some sense the markets think, you know, 30 00:01:51,640 --> 00:01:53,840 Speaker 1: steady as you go. I think it takes away the 31 00:01:53,920 --> 00:01:57,680 Speaker 1: prospect of something idiotic happening. Hence the markets are probably 32 00:01:57,800 --> 00:02:02,480 Speaker 1: right to think, um, steady she goes. Well, Danny, do 33 00:02:02,520 --> 00:02:04,600 Speaker 1: you think these are the same people that were able 34 00:02:04,640 --> 00:02:08,200 Speaker 1: to predict that Britain would vote to remain in the 35 00:02:08,240 --> 00:02:11,880 Speaker 1: European Union? Yeah, I know. I mean I think I 36 00:02:11,919 --> 00:02:15,760 Speaker 1: think the polling was equally and the last three elections 37 00:02:15,760 --> 00:02:18,840 Speaker 1: we've had in the UK, the polling wasn't really right, 38 00:02:18,960 --> 00:02:21,440 Speaker 1: although you Gov seemed to have called it pretty right. 39 00:02:21,880 --> 00:02:23,480 Speaker 1: I think the thing this time, I'm not sure it's 40 00:02:23,520 --> 00:02:26,239 Speaker 1: exactly the answer to your question, Pim, but Um. The 41 00:02:26,440 --> 00:02:29,200 Speaker 1: really interesting thing this time was the exit polls had 42 00:02:29,200 --> 00:02:34,840 Speaker 1: it exactly right. I mean, the reality is that the 43 00:02:34,960 --> 00:02:40,079 Speaker 1: polling moved dramatically. This was a very terrible campaign led 44 00:02:40,120 --> 00:02:43,080 Speaker 1: by May. She started out with the twenty two point 45 00:02:43,160 --> 00:02:45,840 Speaker 1: leading on May the seventh. What do you think, What 46 00:02:45,919 --> 00:02:49,680 Speaker 1: do you think is the reason or reasons for the 47 00:02:49,760 --> 00:02:53,480 Speaker 1: precipitous decline of Theresa May's fortunes in the campaign. Yeah, 48 00:02:53,480 --> 00:02:55,799 Speaker 1: it's it's interesting. I think one of the big things 49 00:02:55,919 --> 00:02:58,440 Speaker 1: is the economy. So the economy has slowed and for 50 00:02:58,480 --> 00:03:02,360 Speaker 1: the first time in the last three real wages started 51 00:03:02,520 --> 00:03:07,160 Speaker 1: to fall again. So economic factors. I think that the 52 00:03:07,280 --> 00:03:10,040 Speaker 1: um that the fact that she called an election after 53 00:03:10,120 --> 00:03:14,840 Speaker 1: seven times saying that she wouldn't, and she campaigned horribly. Um. 54 00:03:15,880 --> 00:03:21,359 Speaker 1: Corbin actually was conducting campaigns everywhere and was having thousands 55 00:03:21,400 --> 00:03:24,800 Speaker 1: of people showing up and Thereason maybasically wouldn't speak to 56 00:03:24,840 --> 00:03:27,959 Speaker 1: anybody and so she wasn't really speaking to the people 57 00:03:28,000 --> 00:03:30,400 Speaker 1: and that became obvious. And then I think the final 58 00:03:30,480 --> 00:03:34,760 Speaker 1: straw was actually the the bombings in Manchester and London, 59 00:03:35,240 --> 00:03:37,440 Speaker 1: and it was clear that when she was the Home Secretary, 60 00:03:37,520 --> 00:03:40,800 Speaker 1: she actually fired twenty thousand policemen and the police have 61 00:03:40,920 --> 00:03:44,000 Speaker 1: made it clear that in some ways she was responsible, 62 00:03:44,160 --> 00:03:47,360 Speaker 1: not saying she was, but people have argued that that happened. 63 00:03:47,400 --> 00:03:50,360 Speaker 1: So in a sense, you called this election, you say 64 00:03:50,360 --> 00:03:54,240 Speaker 1: it's an election about me, strong and stable, um, and 65 00:03:54,280 --> 00:03:56,400 Speaker 1: it was quite clear she was none of those things, 66 00:03:56,400 --> 00:03:58,200 Speaker 1: and in the end she ended up as being weak 67 00:03:58,280 --> 00:04:02,880 Speaker 1: and unstable Danny, and just moving away from the Brexit. 68 00:04:02,920 --> 00:04:05,080 Speaker 1: In particular, you were saying that the UK is the 69 00:04:05,080 --> 00:04:09,240 Speaker 1: slowest growing economy among the G seven nations, and it 70 00:04:09,320 --> 00:04:12,400 Speaker 1: was kind of heading that direction before Brexit, right, I mean, 71 00:04:12,440 --> 00:04:17,320 Speaker 1: it wasn't entirely an outcome, no, of course. I mean, 72 00:04:17,360 --> 00:04:23,039 Speaker 1: obviously the story has been that the exchange rate fell dramatically. Um, 73 00:04:23,279 --> 00:04:25,560 Speaker 1: it picked up a bit. But what we're seeing is 74 00:04:25,880 --> 00:04:30,680 Speaker 1: two things that happened. The British public unexpectedly borrowed like 75 00:04:30,839 --> 00:04:34,080 Speaker 1: mad and continued to this save so that was a 76 00:04:34,200 --> 00:04:36,880 Speaker 1: really big that was a really big problem. And the 77 00:04:36,880 --> 00:04:38,960 Speaker 1: other problem has been that as a result of the 78 00:04:39,000 --> 00:04:42,960 Speaker 1: fall in the exchange rate, inflation starts to tick up. 79 00:04:43,400 --> 00:04:46,559 Speaker 1: So wage growth remaining about two now inflations at three 80 00:04:46,920 --> 00:04:50,359 Speaker 1: probably going to rise more so that so that that 81 00:04:50,640 --> 00:04:53,520 Speaker 1: is something that's really happened post Brexit, the Bank of 82 00:04:53,560 --> 00:04:58,520 Speaker 1: being enacted after business confidence collapse. But my suspicion is 83 00:04:58,560 --> 00:05:01,479 Speaker 1: that you know, we're going to use some more slowing God, 84 00:05:01,640 --> 00:05:04,760 Speaker 1: so you were right to worsom slowing. The economy picked up, 85 00:05:04,880 --> 00:05:07,640 Speaker 1: but in the last three months we've seen i mean, 86 00:05:07,680 --> 00:05:11,880 Speaker 1: point to percent annually. Point to growth in Q one 87 00:05:12,320 --> 00:05:15,640 Speaker 1: was a disaster. All right, Well, we're gonna leave it there, 88 00:05:15,680 --> 00:05:17,440 Speaker 1: but I want to thank you very much, Danny blanche 89 00:05:17,440 --> 00:05:33,400 Speaker 1: for our professor of economics Dartmouth College. Well, the head 90 00:05:33,440 --> 00:05:37,120 Speaker 1: of the United Kingdom is struggling to salvage her political life, 91 00:05:37,720 --> 00:05:41,080 Speaker 1: and yet markets are just hugging along, just fine. Nobody 92 00:05:41,080 --> 00:05:44,159 Speaker 1: seems to be too worried. Who is trading bonds and stock? 93 00:05:44,200 --> 00:05:47,760 Speaker 1: Stug Cioca, CEO and partner of Var Capital. I want 94 00:05:47,760 --> 00:05:51,719 Speaker 1: to bring you in, Uh. Doug is based in Leewood, Kansas, 95 00:05:51,839 --> 00:05:54,159 Speaker 1: And Doug, can you just give me some perspective. What 96 00:05:54,320 --> 00:05:56,920 Speaker 1: will it take to shake this market out of its 97 00:05:57,240 --> 00:06:01,680 Speaker 1: seemingly unshakable complacency. Yeah, thank you, Lee. So that is 98 00:06:01,720 --> 00:06:05,800 Speaker 1: the question I mean today, certainly the market is absorbing, 99 00:06:05,839 --> 00:06:09,640 Speaker 1: not deflecting, this news, and even immediately after the first 100 00:06:09,640 --> 00:06:14,200 Speaker 1: exit poll last night um that the true safety risk 101 00:06:14,279 --> 00:06:18,479 Speaker 1: off trades like gold didn't rally pounding. Your occurrencies weaken 102 00:06:18,520 --> 00:06:21,440 Speaker 1: a touch, but nothing substantive, nothing near the Brexit loads 103 00:06:21,440 --> 00:06:24,360 Speaker 1: of a year ago. And if anything, maybe the prospect 104 00:06:24,400 --> 00:06:29,000 Speaker 1: of a softer Brexit is less destabilizing and the general 105 00:06:29,720 --> 00:06:34,120 Speaker 1: heightened level of ambiguity keeps central banks engaged. And we've 106 00:06:34,120 --> 00:06:35,960 Speaker 1: got a b o E meeting next week, we have 107 00:06:36,000 --> 00:06:38,840 Speaker 1: the EC meeting ECB meeting last week, we have the 108 00:06:38,880 --> 00:06:40,440 Speaker 1: set of course that is going to come out with 109 00:06:40,480 --> 00:06:43,400 Speaker 1: the press conference after the rate decision on the fourteen. 110 00:06:43,480 --> 00:06:47,000 Speaker 1: So I think you're right. It's got a lot of 111 00:06:47,080 --> 00:06:50,000 Speaker 1: investors wondering what has to happen for the market to 112 00:06:50,040 --> 00:06:52,640 Speaker 1: experience more than a fleeting adverse impact from some of 113 00:06:52,720 --> 00:06:55,919 Speaker 1: this heightened global tension or one of these geo political events. 114 00:06:56,040 --> 00:06:59,440 Speaker 1: Great question, can we I'm wanna ask what what makes 115 00:06:59,440 --> 00:07:05,280 Speaker 1: stocks go up and down? Well? Demand certainly to me, 116 00:07:05,360 --> 00:07:07,560 Speaker 1: I mean four things right to him. Historically, you have 117 00:07:07,640 --> 00:07:09,640 Speaker 1: to have earnings growth, You've got to have some diven 118 00:07:09,680 --> 00:07:13,600 Speaker 1: in and income component to the stock ownership proposition, perhaps 119 00:07:13,640 --> 00:07:16,280 Speaker 1: some inflation, and then sentiments right whether or not there 120 00:07:16,320 --> 00:07:19,240 Speaker 1: will be a multiple expansion or contraction. And I think 121 00:07:19,280 --> 00:07:22,120 Speaker 1: a portfolio manager has to ascertain the influence these outside 122 00:07:22,160 --> 00:07:25,720 Speaker 1: events on investor attitudes. And that's the basis of assessing 123 00:07:26,120 --> 00:07:31,760 Speaker 1: that sentiment and its input in the calculation of expected returns. Sorry, glad, 124 00:07:31,760 --> 00:07:34,600 Speaker 1: I beg your pardon to continue them right. The better 125 00:07:34,640 --> 00:07:36,960 Speaker 1: the underlying sentiment, the more the optimism, the bigger the 126 00:07:37,000 --> 00:07:39,560 Speaker 1: benefits of doubt, the more likely multiple expanded, the prices 127 00:07:39,600 --> 00:07:41,720 Speaker 1: go up. And you know, the equal and opposite impact 128 00:07:41,800 --> 00:07:45,040 Speaker 1: exists if there is weaker sentiment, and that Trump trades 129 00:07:45,080 --> 00:07:47,040 Speaker 1: the best example, and he had a positive outlook on 130 00:07:47,080 --> 00:07:50,120 Speaker 1: the prospects of a pro business presidency. But now right 131 00:07:50,200 --> 00:07:53,480 Speaker 1: instead of debating functional fiscal policy, we're dissecting things like 132 00:07:54,040 --> 00:07:57,080 Speaker 1: conversations in the intelligence community whether President Trump is or 133 00:07:57,120 --> 00:08:00,320 Speaker 1: isn't going to invoke executive privilege. Stocks or may attaining 134 00:08:00,360 --> 00:08:04,480 Speaker 1: a bid despite at best neutrality and sentiment. And mostly 135 00:08:04,520 --> 00:08:06,120 Speaker 1: that's on the heels of what was a really strong 136 00:08:06,200 --> 00:08:09,720 Speaker 1: earnings quarter in Q one and some considerable financial engineering. 137 00:08:09,840 --> 00:08:11,720 Speaker 1: But for the broad markets push forward for stock to 138 00:08:11,760 --> 00:08:14,160 Speaker 1: go higher, we need more than the apathy that least 139 00:08:14,160 --> 00:08:16,960 Speaker 1: have mentioned to emanate from some of these geopolitical events 140 00:08:18,120 --> 00:08:20,560 Speaker 1: justicause if I if you are able to produce nine 141 00:08:20,600 --> 00:08:23,440 Speaker 1: and a quarter percent returns on an annual basis for 142 00:08:23,560 --> 00:08:29,000 Speaker 1: your customers, you'd be a hero. Correct, correct? Okay, so 143 00:08:29,200 --> 00:08:31,440 Speaker 1: that SMP five is up nine and a quarter percent 144 00:08:31,560 --> 00:08:33,560 Speaker 1: this year, why wouldn't people just take the money off 145 00:08:33,600 --> 00:08:37,640 Speaker 1: the table and wait? Yeah, I think that is absolutely 146 00:08:37,800 --> 00:08:42,360 Speaker 1: a strong consideration. Other than right, you're still talking about 147 00:08:42,440 --> 00:08:45,199 Speaker 1: a look back period where you not only returns to 148 00:08:45,320 --> 00:08:47,080 Speaker 1: returns have to be even better than that to catch 149 00:08:47,160 --> 00:08:50,439 Speaker 1: up with what historically markets have been able to produce. 150 00:08:50,920 --> 00:08:53,520 Speaker 1: But I think that fear of missing out is very strong. 151 00:08:53,960 --> 00:08:56,640 Speaker 1: These animal spirits that have pulled forward maybe someone x 152 00:08:56,760 --> 00:08:59,800 Speaker 1: the latter part of this year's gains are still represented. 153 00:09:00,080 --> 00:09:02,120 Speaker 1: You do get even and I hate to call its fleeting. 154 00:09:02,360 --> 00:09:04,800 Speaker 1: It just was a little bit off the radar. Things 155 00:09:04,880 --> 00:09:08,319 Speaker 1: like this God Frank deluction that took place yesterday. You 156 00:09:08,440 --> 00:09:11,679 Speaker 1: get the idea of how much better things could possibly be. 157 00:09:12,320 --> 00:09:14,920 Speaker 1: So that is keeping people engage as opposed to just 158 00:09:15,000 --> 00:09:18,120 Speaker 1: taking profits and sitting the rest of the year out. Doug, 159 00:09:18,320 --> 00:09:20,920 Speaker 1: I have to wonder, you know, are we really observing 160 00:09:21,080 --> 00:09:24,960 Speaker 1: complacency or are we really just simply witnessing the effects 161 00:09:25,040 --> 00:09:28,560 Speaker 1: of one point two trillion dollars of asset purchases by 162 00:09:28,559 --> 00:09:31,160 Speaker 1: the Bank of Japan and the European Central Bank. I mean, yes, 163 00:09:31,200 --> 00:09:34,320 Speaker 1: the FED has stopped its asset purchases, are stopped expanding 164 00:09:34,320 --> 00:09:37,559 Speaker 1: its balance sheet, I should say, but they are being 165 00:09:37,640 --> 00:09:41,240 Speaker 1: offset quite dramatically by other central banks. Yeah. I think 166 00:09:41,320 --> 00:09:45,160 Speaker 1: there's there's a strong under current, Lisa. I think that 167 00:09:45,280 --> 00:09:49,280 Speaker 1: it's it's buoying prices, but at the same time, prices 168 00:09:49,360 --> 00:09:53,280 Speaker 1: within the absence of of of corroboration, of that um 169 00:09:53,640 --> 00:09:58,439 Speaker 1: of that sponsorship make at these levels the profect of 170 00:09:58,720 --> 00:10:03,439 Speaker 1: of a of a swift destabilizing higher. So you can say, yeah, 171 00:10:03,480 --> 00:10:05,080 Speaker 1: we like the process. This money is coming in. It's 172 00:10:05,120 --> 00:10:07,160 Speaker 1: coming off the sidelines. There's been a lot of idle cash, 173 00:10:07,280 --> 00:10:10,640 Speaker 1: not just internationally but domestically on the sidelines. If it 174 00:10:10,760 --> 00:10:13,240 Speaker 1: doesn't get that reinforcement as it enters the market, this 175 00:10:13,320 --> 00:10:14,760 Speaker 1: is one of our big issues with a big path 176 00:10:14,880 --> 00:10:16,680 Speaker 1: of trade that's been on for the last eighteen months, 177 00:10:16,920 --> 00:10:18,760 Speaker 1: then that's going to be the first money that leaves. 178 00:10:19,320 --> 00:10:21,679 Speaker 1: So that might be the first step, but it's not 179 00:10:22,400 --> 00:10:27,320 Speaker 1: enough of a consistent um march toward allowing these prices 180 00:10:27,360 --> 00:10:29,720 Speaker 1: to continue in that fashion. Well, so then my question 181 00:10:30,000 --> 00:10:33,080 Speaker 1: is we do have some small hints that the Bank 182 00:10:33,120 --> 00:10:35,480 Speaker 1: of Japan the e c B are straying to prepare 183 00:10:35,600 --> 00:10:39,040 Speaker 1: how they're going to unwind some of this stimulus. What 184 00:10:39,320 --> 00:10:41,760 Speaker 1: do they have to do or what could they do 185 00:10:41,920 --> 00:10:45,440 Speaker 1: that would potentially derail this certain complacency that we've been 186 00:10:45,480 --> 00:10:48,319 Speaker 1: talking about. Yeah, I mean, they're they're floating all of 187 00:10:48,440 --> 00:10:51,000 Speaker 1: these trial balloons, and what they have to do is 188 00:10:51,240 --> 00:10:54,920 Speaker 1: is going to be described as very delicately as they 189 00:10:55,679 --> 00:10:58,880 Speaker 1: moved down that path, we actually are now given drag 190 00:10:59,000 --> 00:11:01,800 Speaker 1: these Outlook, you could make the case that we are 191 00:11:01,840 --> 00:11:06,240 Speaker 1: on a globalized, globally synchronized monetary policy tightening, but it's 192 00:11:06,320 --> 00:11:10,160 Speaker 1: implementation is going to be so delicate and not unlike 193 00:11:10,280 --> 00:11:12,520 Speaker 1: the FED saying hey, at some point we're gonna have 194 00:11:12,679 --> 00:11:14,800 Speaker 1: to begin to work down the bounty. Yeah, we're not 195 00:11:14,880 --> 00:11:17,360 Speaker 1: going to reinvest some of the maturing proceeds of these bonds. 196 00:11:17,880 --> 00:11:21,120 Speaker 1: These are trial balloons that are being floated, not unlike 197 00:11:21,240 --> 00:11:24,920 Speaker 1: polling that has taken place politically to understand the reactivity 198 00:11:25,000 --> 00:11:33,280 Speaker 1: function of the market based on that job owningtion worked out. Yeah, exactly, exactly, 199 00:11:33,360 --> 00:11:35,360 Speaker 1: So you know, the market, it will always move in 200 00:11:35,400 --> 00:11:37,400 Speaker 1: advance of the FED if they I'm sorry about just 201 00:11:37,480 --> 00:11:40,839 Speaker 1: the Fed of any essential banks, if it feels like 202 00:11:41,000 --> 00:11:44,160 Speaker 1: their intentions are sincere. But when you look at our 203 00:11:44,320 --> 00:11:46,960 Speaker 1: us bondo market is a great example. The fetes raised 204 00:11:47,080 --> 00:11:51,000 Speaker 1: rates three times in this In this this, this regime 205 00:11:51,160 --> 00:11:54,319 Speaker 1: shifts right, so to speak, from being um being very 206 00:11:54,360 --> 00:11:58,040 Speaker 1: accommodative to flat to now tightening, and the bond markets rallies. 207 00:11:58,080 --> 00:12:00,280 Speaker 1: My market is even rallied since the FED is about 208 00:12:00,280 --> 00:12:02,840 Speaker 1: working down the balance sheet. So we've seen this massive 209 00:12:02,880 --> 00:12:05,560 Speaker 1: curve flat name because even though the short is coming up, 210 00:12:05,800 --> 00:12:07,680 Speaker 1: there's not a lot of inflation in the market, which 211 00:12:07,679 --> 00:12:10,319 Speaker 1: puts FED in a very difficult position. But the bond 212 00:12:10,400 --> 00:12:13,720 Speaker 1: market will not necessarily have its moves dictated by the FED. 213 00:12:14,080 --> 00:12:16,880 Speaker 1: They may corroborate and enhance a direction that the market 214 00:12:16,960 --> 00:12:20,000 Speaker 1: is already predetermined or established as the proper path. How's 215 00:12:20,080 --> 00:12:23,120 Speaker 1: this for inflation in the equity market? Doug that TESLA 216 00:12:23,880 --> 00:12:31,280 Speaker 1: is now valued greater than BMW. Yeah, I mean, come on, yeah, 217 00:12:31,320 --> 00:12:33,120 Speaker 1: I mean this is the market that we live in, 218 00:12:33,320 --> 00:12:35,480 Speaker 1: and no one is I mean, it's like the emperor 219 00:12:35,559 --> 00:12:37,640 Speaker 1: has no clothes. You can keep making money in it, 220 00:12:37,760 --> 00:12:40,079 Speaker 1: I guess. But that's a hope and a dream. It's 221 00:12:40,120 --> 00:12:44,280 Speaker 1: not based on anything factual. It's not I mean, and 222 00:12:44,440 --> 00:12:47,479 Speaker 1: certainly in TESTA was a specific example, is very aspirational 223 00:12:47,520 --> 00:12:51,520 Speaker 1: in nature. Certainly the way they are commandeering attention and 224 00:12:51,600 --> 00:12:55,679 Speaker 1: the way that their innovation is exploded, their multiple and 225 00:12:55,760 --> 00:12:58,840 Speaker 1: people's interest in aligning with them, the fact that they 226 00:12:58,920 --> 00:13:00,839 Speaker 1: name their new car that you to take on this 227 00:13:01,040 --> 00:13:03,240 Speaker 1: pre eminence that the BMW three had at that point 228 00:13:03,280 --> 00:13:06,880 Speaker 1: in time. Just to support your example, Yes, without making 229 00:13:07,160 --> 00:13:10,160 Speaker 1: a comparison to the two companies on a on evaluation basis, 230 00:13:10,559 --> 00:13:12,839 Speaker 1: I do think the aspirational nature of the market that 231 00:13:12,960 --> 00:13:17,160 Speaker 1: has been so pronounced in the growth areas is something 232 00:13:17,280 --> 00:13:20,400 Speaker 1: that could end up having a come up in that um. Again, 233 00:13:20,800 --> 00:13:23,360 Speaker 1: if you're looking at just the general landscape, having some 234 00:13:23,440 --> 00:13:25,800 Speaker 1: balance and portfolio and not being too heavily one side. 235 00:13:26,160 --> 00:13:27,600 Speaker 1: We've got to leave it here. I want to thank 236 00:13:27,640 --> 00:13:30,160 Speaker 1: you very much, Doug Sioca. He is the chief executive 237 00:13:30,200 --> 00:13:47,280 Speaker 1: officer and the partner at Cavar Capital Partners based in Leewood, Kansas. Well, 238 00:13:47,320 --> 00:13:50,959 Speaker 1: let's turn our attention now to Apple and it's new iPhone. 239 00:13:51,000 --> 00:13:53,440 Speaker 1: We have John Butler. He is a senior telecom analyst 240 00:13:53,559 --> 00:13:57,520 Speaker 1: for Bloomberg Intelligence. He covers the services and equipment business 241 00:13:57,960 --> 00:14:01,000 Speaker 1: and he can be followed on Twitter at on Underscore 242 00:14:01,120 --> 00:14:06,040 Speaker 1: Butler five. Alright, John, Underscore Butler. What's this about Apple's 243 00:14:06,080 --> 00:14:08,200 Speaker 1: new iPhone? And it's not gonna be able to take 244 00:14:08,240 --> 00:14:11,440 Speaker 1: advantage of all those new high speed links that mobile 245 00:14:11,480 --> 00:14:14,719 Speaker 1: carriers are offering. Well, it all goes into down to 246 00:14:14,800 --> 00:14:17,959 Speaker 1: the core, if you will, of what's inside the iPhone. 247 00:14:18,120 --> 00:14:23,280 Speaker 1: So Qualcom is one of the main chip suppliers to 248 00:14:23,400 --> 00:14:26,600 Speaker 1: the smartphone industry, and they make what's called the modem. 249 00:14:26,720 --> 00:14:30,360 Speaker 1: It's that chip that talks to the network and receives 250 00:14:30,680 --> 00:14:35,080 Speaker 1: information data back from the network and onto ultimately onto 251 00:14:35,160 --> 00:14:40,440 Speaker 1: the screen of your phone. And Apple uh dual sources. 252 00:14:40,560 --> 00:14:45,520 Speaker 1: They get chips from Qualcom and from Intel. Qualcom is 253 00:14:45,640 --> 00:14:48,640 Speaker 1: way ahead of Intel in terms of the download speeds 254 00:14:48,680 --> 00:14:52,240 Speaker 1: that can support on the phone up to a gigabit 255 00:14:52,360 --> 00:14:55,680 Speaker 1: per second or a billion ones and zeros per second 256 00:14:56,440 --> 00:14:59,480 Speaker 1: of information over the phone, and Intel's running at about 257 00:14:59,560 --> 00:15:04,480 Speaker 1: half the at right. And so what Apple typically does 258 00:15:04,920 --> 00:15:09,840 Speaker 1: is they'll build the phones, they'll throttle down that Qualcom 259 00:15:10,080 --> 00:15:13,280 Speaker 1: chip to be on par with the Intel chip, so 260 00:15:13,440 --> 00:15:17,280 Speaker 1: it levels the playing field. All iPhone users are equal 261 00:15:17,520 --> 00:15:21,160 Speaker 1: under that equation. And so the concern is that maybe 262 00:15:21,240 --> 00:15:24,600 Speaker 1: this could spill over and impact sales of the iPhone eight. 263 00:15:25,200 --> 00:15:28,440 Speaker 1: I say, no way, I just don't see it because 264 00:15:28,520 --> 00:15:30,960 Speaker 1: in our day to day lives, Lacy, you look like 265 00:15:31,080 --> 00:15:34,200 Speaker 1: you want to Well, yeah, I'm just I'm confuous because 266 00:15:34,360 --> 00:15:36,400 Speaker 1: I think a lot of people are using their phones 267 00:15:36,520 --> 00:15:38,440 Speaker 1: more and more. I see it everywhere I go for 268 00:15:38,800 --> 00:15:43,280 Speaker 1: streaming movies or TV shows or YouTube videos and all 269 00:15:43,320 --> 00:15:46,640 Speaker 1: of these other applications that are better when you have 270 00:15:46,880 --> 00:15:51,640 Speaker 1: higher speed networks. Absolutely true, But I'll offer this. You 271 00:15:51,760 --> 00:15:54,360 Speaker 1: can measure the download speeds on your phone with an 272 00:15:54,400 --> 00:15:57,760 Speaker 1: app from the FCC, and the highest rate that I 273 00:15:57,880 --> 00:16:02,160 Speaker 1: get in New York City is fifty five megabits per second. 274 00:16:02,680 --> 00:16:06,240 Speaker 1: So on that gigabit speed we're talking about. So I 275 00:16:06,400 --> 00:16:10,280 Speaker 1: think I think the news is getting ahead of itself here. 276 00:16:10,320 --> 00:16:13,760 Speaker 1: I don't think people will care or frankly, even notice 277 00:16:13,840 --> 00:16:16,960 Speaker 1: the difference. And the other thing I'd say is once 278 00:16:17,080 --> 00:16:20,600 Speaker 1: networks get fully loaded, they get crowded with people, those 279 00:16:20,760 --> 00:16:24,920 Speaker 1: theoretical download speeds go right out the window. You don't 280 00:16:25,000 --> 00:16:29,000 Speaker 1: really get that gigabit per second rate that you might 281 00:16:29,080 --> 00:16:31,880 Speaker 1: get in the lab with the single user on the network. 282 00:16:32,040 --> 00:16:35,960 Speaker 1: So practically speaking, speeds are moving up into the right, 283 00:16:36,520 --> 00:16:39,520 Speaker 1: but they're not moving at the rate that the marketers 284 00:16:39,640 --> 00:16:42,480 Speaker 1: want you to believe, John, what, what should we take 285 00:16:42,520 --> 00:16:44,880 Speaker 1: away from the fact that Qualcom has a better, faster 286 00:16:45,080 --> 00:16:48,000 Speaker 1: chip than Intel? And why is Apple even bothering to 287 00:16:48,160 --> 00:16:50,560 Speaker 1: use the Intel chips? Why don't they just get more 288 00:16:50,720 --> 00:16:53,320 Speaker 1: Qualcom chips? I know they're in litigation, but why don't 289 00:16:53,320 --> 00:16:56,080 Speaker 1: they just get the real better chip? Well, Number one, 290 00:16:56,160 --> 00:16:59,640 Speaker 1: they are in litigation and they're very unhappy partners right now, 291 00:16:59,760 --> 00:17:02,720 Speaker 1: so that's it's a bit of a risk. But Apple 292 00:17:02,840 --> 00:17:05,959 Speaker 1: is known to always dual source, which is a very 293 00:17:06,080 --> 00:17:10,320 Speaker 1: smart thing um, because anything can happen with chip makers. 294 00:17:10,480 --> 00:17:14,159 Speaker 1: We've seen earthquakes in Japan really derail a lot of vendors, 295 00:17:14,320 --> 00:17:16,719 Speaker 1: not just Apple. Well, why not get Intel to make 296 00:17:16,800 --> 00:17:20,080 Speaker 1: a faster chip. Well, Intel's trying to make a faster 297 00:17:20,280 --> 00:17:23,399 Speaker 1: chip and they're actually running behind, which is what fueled 298 00:17:23,440 --> 00:17:27,480 Speaker 1: this news story that came out on Bloomberg about um 299 00:17:28,000 --> 00:17:31,080 Speaker 1: Intel basically being late to the game with a gigabit 300 00:17:31,160 --> 00:17:35,359 Speaker 1: per second chip. My argument, I go back to the 301 00:17:35,480 --> 00:17:40,720 Speaker 1: fact that when you're talking speeds that high gigabit per second, 302 00:17:40,840 --> 00:17:42,880 Speaker 1: if you cut it in half, I don't think people 303 00:17:42,920 --> 00:17:46,119 Speaker 1: are gonna notice or care. I just don't. So what's 304 00:17:46,400 --> 00:17:49,320 Speaker 1: Apple's new iPhone going to offer them that's going to 305 00:17:49,400 --> 00:17:52,840 Speaker 1: be so terrific that it will offset the inevitably snarky 306 00:17:53,080 --> 00:17:55,720 Speaker 1: counter ads that you're going to get from Samsung saying well, 307 00:17:55,720 --> 00:17:58,600 Speaker 1: we're fast and we've got secure. Actually Apple got better 308 00:17:58,640 --> 00:18:01,080 Speaker 1: security probably, but say like where we've got the up, 309 00:18:01,200 --> 00:18:03,920 Speaker 1: you know, up and coming speed, you can count on 310 00:18:04,000 --> 00:18:08,160 Speaker 1: the ads for sure. But the one thing I'll say 311 00:18:08,320 --> 00:18:13,080 Speaker 1: is Apple typically lags all its competitors on hardware specs. 312 00:18:13,320 --> 00:18:16,280 Speaker 1: That's not where they play. They play in the ecosystem, 313 00:18:16,480 --> 00:18:20,119 Speaker 1: and it's very sticky. It's very hard for someone who's 314 00:18:20,119 --> 00:18:23,080 Speaker 1: an Apple user to move to Android number one. But 315 00:18:23,200 --> 00:18:27,280 Speaker 1: there's real appeal there. You know. They continue, for example, 316 00:18:27,359 --> 00:18:29,920 Speaker 1: to evolve Apple Pay so now they have peer to 317 00:18:30,040 --> 00:18:34,520 Speaker 1: peer payments similar to Venmo that's coming with iOS leven. 318 00:18:34,600 --> 00:18:39,680 Speaker 1: Apple Music is increasingly moving beyond music into video um 319 00:18:39,960 --> 00:18:43,960 Speaker 1: and just the ecosystem in general is very broad and 320 00:18:44,240 --> 00:18:49,320 Speaker 1: very strong, and and that's where I think that's Apple's Wheelhouse. 321 00:18:49,480 --> 00:18:54,440 Speaker 1: Really that's where they they far exceed their competitors. John, 322 00:18:54,480 --> 00:18:55,879 Speaker 1: I want to get your thoughts on what's going on 323 00:18:56,000 --> 00:19:00,359 Speaker 1: at Verizon Communications. Uh, the stock is down about thirteen 324 00:19:00,440 --> 00:19:02,880 Speaker 1: percent so far this year. It trades about forty six 325 00:19:02,960 --> 00:19:06,880 Speaker 1: dollars and cents. This is a stock that last year 326 00:19:07,000 --> 00:19:10,000 Speaker 1: same time was fifty four bucks. So now you're fifty 327 00:19:10,080 --> 00:19:12,080 Speaker 1: four bucks. You down the forty six, you're still getting 328 00:19:12,080 --> 00:19:15,840 Speaker 1: your five percent dividend. What is the strategy at Verizon 329 00:19:15,920 --> 00:19:19,000 Speaker 1: and why are they're laying off people? Yeah, well, the 330 00:19:19,160 --> 00:19:22,720 Speaker 1: layoffs are related to the Yahoo emerging Yahoo in a 331 00:19:22,880 --> 00:19:25,320 Speaker 1: o L. There's a lot of redundant jobs. They're in 332 00:19:25,440 --> 00:19:29,840 Speaker 1: engineering and marketing and so forth, So that was expected. 333 00:19:30,480 --> 00:19:33,639 Speaker 1: I think broadly, taking a step back from that merger 334 00:19:33,800 --> 00:19:37,840 Speaker 1: and looking at where Verizons headed, they don't have as 335 00:19:37,920 --> 00:19:41,520 Speaker 1: well defined as strategy as a T and T for example, 336 00:19:41,600 --> 00:19:45,560 Speaker 1: which is making some really bold moves into content. Uh, 337 00:19:45,840 --> 00:19:48,840 Speaker 1: they have a really bright future there in my view. 338 00:19:49,000 --> 00:19:51,639 Speaker 1: I mean, there's a lot of risk they need to execute, 339 00:19:51,720 --> 00:19:55,240 Speaker 1: but I think they made the right moves. Verizons just 340 00:19:55,480 --> 00:19:58,520 Speaker 1: seems to be foundering a little bit. They're trying to 341 00:19:58,720 --> 00:20:03,480 Speaker 1: find the right next step they've committed hard on five G, 342 00:20:03,920 --> 00:20:07,360 Speaker 1: which is I think a good move, but the margins 343 00:20:07,480 --> 00:20:10,800 Speaker 1: lying content that's my bad. So thank you so much 344 00:20:10,800 --> 00:20:13,399 Speaker 1: for joining us. John Butler, always wonderful speaking with you. 345 00:20:13,520 --> 00:20:17,360 Speaker 1: John Butler senior Telecom Services and Equipment analyst for Bloomberg Intelligence, 346 00:20:17,400 --> 00:20:19,800 Speaker 1: and he joins us here in our Bloomberg eleven three 347 00:20:19,840 --> 00:20:22,560 Speaker 1: oh studio talking about how the speed just might not 348 00:20:22,680 --> 00:20:25,680 Speaker 1: matter since you actually can't get it practically, certainly not 349 00:20:25,720 --> 00:20:40,199 Speaker 1: in any crowded place. Well, I think of the at 350 00:20:40,280 --> 00:20:43,679 Speaker 1: one point almost bounce in the shares of this company 351 00:20:43,720 --> 00:20:46,520 Speaker 1: in the past three days after it came out that 352 00:20:46,640 --> 00:20:49,800 Speaker 1: it's looking to potentially go private, whether from the Nordstrom 353 00:20:49,920 --> 00:20:52,879 Speaker 1: family or some private equity firms that are supposedly quote 354 00:20:53,040 --> 00:20:56,240 Speaker 1: kicking the tires on Nordstrom right now. Jenn Gnelli is 355 00:20:56,240 --> 00:20:59,200 Speaker 1: a high yield analyst focusing on the retail and gaming 356 00:20:59,240 --> 00:21:02,560 Speaker 1: industries at City Group, and UH has some good perspective 357 00:21:02,720 --> 00:21:06,080 Speaker 1: just generally about the retail industry and what could make 358 00:21:06,160 --> 00:21:09,440 Speaker 1: Nordstrom attractive or not and what kind of debt could 359 00:21:09,600 --> 00:21:12,000 Speaker 1: end up getting piled on. Jenna, I want to start 360 00:21:12,400 --> 00:21:15,879 Speaker 1: with the value here. How much of Nordstrom is a 361 00:21:16,000 --> 00:21:19,040 Speaker 1: retail story and how much is a real estate story. 362 00:21:19,960 --> 00:21:21,920 Speaker 1: Hi guys, well thanks for having me on today. I 363 00:21:21,920 --> 00:21:24,960 Speaker 1: appreciate it. UM. I think you you know, you jumped 364 00:21:25,000 --> 00:21:27,160 Speaker 1: into write of what the heart of the big differentiating 365 00:21:27,240 --> 00:21:29,480 Speaker 1: points is here. You know, most retailers that we look 366 00:21:29,520 --> 00:21:31,600 Speaker 1: at in our universe, whether it's high yield or even 367 00:21:31,640 --> 00:21:34,119 Speaker 1: in high grade, they don't own a lot of their 368 00:21:34,200 --> 00:21:36,080 Speaker 1: real estate. But for those that do, it's been a 369 00:21:36,200 --> 00:21:40,080 Speaker 1: huge resource resource in terms of enhancing liquidity, whether for 370 00:21:40,160 --> 00:21:43,359 Speaker 1: massive sales, engaging in sale. These facts, um are in 371 00:21:43,480 --> 00:21:46,200 Speaker 1: some cases securing lower costs of capital. So we've seen that, 372 00:21:46,320 --> 00:21:48,440 Speaker 1: you know in our coverage universe J C. Penny Toys, 373 00:21:48,560 --> 00:21:52,679 Speaker 1: r us uh, Neiman, Marcus, Bontan Stores, um. But broadly, 374 00:21:52,720 --> 00:21:54,320 Speaker 1: I mean these are a few and far between. So 375 00:21:54,640 --> 00:21:57,280 Speaker 1: in the case of Nordstrom, UM, you know, we we 376 00:21:57,440 --> 00:22:00,200 Speaker 1: don't cover, but we actually applied the same METHODOLO that 377 00:22:00,280 --> 00:22:03,000 Speaker 1: we use in our NEEME and markets real estate valuation. 378 00:22:03,440 --> 00:22:05,040 Speaker 1: You know, we came up with an estimate that it 379 00:22:05,080 --> 00:22:07,560 Speaker 1: could be worth around you know, six billion dollars six 380 00:22:07,600 --> 00:22:09,960 Speaker 1: billion dollars UM. I'm sure there are a lot of 381 00:22:10,000 --> 00:22:12,560 Speaker 1: different estimates out there, but just to give context, that's 382 00:22:12,560 --> 00:22:15,240 Speaker 1: almost the size of their market cap. So six million 383 00:22:15,320 --> 00:22:17,280 Speaker 1: dollars in other words, is the value of the real 384 00:22:17,400 --> 00:22:19,960 Speaker 1: estate You're saying right exactly of the combination of the 385 00:22:20,040 --> 00:22:22,480 Speaker 1: owned and ground least real estate that they have. And 386 00:22:22,520 --> 00:22:25,800 Speaker 1: you know, assuming certain cap rates, UM lease values per 387 00:22:25,840 --> 00:22:29,080 Speaker 1: square foot, etceter. Are making some assumptions, but um, applying 388 00:22:29,119 --> 00:22:31,240 Speaker 1: again the same methodology that we've seen in other high 389 00:22:31,320 --> 00:22:34,280 Speaker 1: yield retailers, UM, it comes out to a really large 390 00:22:34,400 --> 00:22:36,280 Speaker 1: number of relative to the size of their market cap. 391 00:22:36,440 --> 00:22:39,760 Speaker 1: So um. You know, when you're thinking about multiples in 392 00:22:39,800 --> 00:22:43,400 Speaker 1: the space potential purchase prices for those that do own 393 00:22:43,440 --> 00:22:45,159 Speaker 1: their own real estate, it has to be factored in 394 00:22:45,320 --> 00:22:48,560 Speaker 1: relative to just thinking about traditional multiples and what those 395 00:22:48,680 --> 00:22:51,640 Speaker 1: might you know, be. We've seen that those that own 396 00:22:51,720 --> 00:22:54,440 Speaker 1: do command to hire multiple So with with that real 397 00:22:54,600 --> 00:22:59,560 Speaker 1: estate value, help Nordstrom go private without having to incur 398 00:23:00,200 --> 00:23:02,720 Speaker 1: the kind of debt loads that we've seen way down 399 00:23:02,920 --> 00:23:05,040 Speaker 1: the Jim Borees of the world and the other LBO 400 00:23:05,680 --> 00:23:09,520 Speaker 1: targets that have been going out a business or going bankrupt, 401 00:23:09,600 --> 00:23:13,520 Speaker 1: I should say I as a result, yeah, I mean, look, 402 00:23:13,600 --> 00:23:15,720 Speaker 1: that's a good question. I think what we've seen more 403 00:23:15,840 --> 00:23:19,080 Speaker 1: likely is just the ability to use that real estate. 404 00:23:19,160 --> 00:23:21,840 Speaker 1: Maybe you know, you could again engage in asset sales 405 00:23:21,880 --> 00:23:24,160 Speaker 1: all these backs to shore up liquidity ahead of time 406 00:23:24,200 --> 00:23:26,640 Speaker 1: so you don't have to take on as much leverage 407 00:23:27,200 --> 00:23:30,800 Speaker 1: UM in that you know, financing transaction. Another way that 408 00:23:30,840 --> 00:23:32,840 Speaker 1: it's used is it really to secure a lower cost 409 00:23:32,920 --> 00:23:35,119 Speaker 1: of capital. So you could do uh, you know, a 410 00:23:35,200 --> 00:23:37,600 Speaker 1: prop code type facility, or you could do just a 411 00:23:37,680 --> 00:23:39,720 Speaker 1: real estate term loan where you get um, you know 412 00:23:39,840 --> 00:23:41,800 Speaker 1: j C. Penny is a great example. They use their 413 00:23:41,840 --> 00:23:45,400 Speaker 1: real estate uh to you know, get pretty attractive rates 414 00:23:45,400 --> 00:23:48,200 Speaker 1: relative to what it could have been UM on on 415 00:23:48,320 --> 00:23:50,960 Speaker 1: their term loan UM because of the value of the 416 00:23:51,040 --> 00:23:53,320 Speaker 1: real estate that they owned. So I think it would 417 00:23:53,359 --> 00:23:55,119 Speaker 1: be you know more in the form of that I 418 00:23:55,200 --> 00:23:59,040 Speaker 1: get securing lower cost of financing, but certainly allow them 419 00:23:59,440 --> 00:24:02,040 Speaker 1: um would you know real estate allows them to UM 420 00:24:02,440 --> 00:24:05,040 Speaker 1: manage that leverage a little bit more than those that don't. 421 00:24:05,080 --> 00:24:06,800 Speaker 1: And I think you know, you compared it to a 422 00:24:06,880 --> 00:24:09,479 Speaker 1: Jim Burie or some of the other stress retailers. Um 423 00:24:09,800 --> 00:24:12,879 Speaker 1: they didn't necessarily start out with that type of high leverage, 424 00:24:12,920 --> 00:24:15,000 Speaker 1: but not owning some of their real estate had certainly 425 00:24:15,520 --> 00:24:18,720 Speaker 1: um you know it's a limited flexibility, but it's certainly 426 00:24:18,760 --> 00:24:22,120 Speaker 1: it enhances the quility for those that do. Jenna wonder 427 00:24:22,119 --> 00:24:23,840 Speaker 1: if you could just make a little bit simpler it 428 00:24:23,960 --> 00:24:26,960 Speaker 1: can how much debt could could Nordstrom take on given 429 00:24:27,119 --> 00:24:31,000 Speaker 1: their current financial situation about fifteen billion in sales, they 430 00:24:31,040 --> 00:24:33,479 Speaker 1: did net about five hundred and forty million, They got 431 00:24:33,520 --> 00:24:36,119 Speaker 1: free cash flow of over seven hundred and seventy million, 432 00:24:37,000 --> 00:24:39,160 Speaker 1: only two point seven on the balance sheet two point 433 00:24:39,240 --> 00:24:41,280 Speaker 1: seven billion, right, and a market cap of seven and 434 00:24:41,280 --> 00:24:44,280 Speaker 1: a half billion, right exactly. So I mean, look, how 435 00:24:44,400 --> 00:24:47,760 Speaker 1: much leverage can you put on a retailer today? Um, 436 00:24:48,560 --> 00:24:51,160 Speaker 1: there's a lot of hesitation in the market to finance 437 00:24:51,200 --> 00:24:55,440 Speaker 1: these transaction. There's more skepticism around new retail deals coming 438 00:24:55,480 --> 00:24:57,679 Speaker 1: to market that I will say. And even for retail 439 00:24:57,720 --> 00:25:00,040 Speaker 1: deals that we've seen come recently within a lot a 440 00:25:00,119 --> 00:25:02,960 Speaker 1: month or so, you can still put um five to 441 00:25:03,080 --> 00:25:06,440 Speaker 1: six times leverage on a retailer that's in the right 442 00:25:06,560 --> 00:25:09,880 Speaker 1: category and has the right story, and you know, they're 443 00:25:09,880 --> 00:25:12,800 Speaker 1: put the potential to de lever from wherever they're they're 444 00:25:12,840 --> 00:25:15,440 Speaker 1: starting point is. So you know, what would that apply 445 00:25:15,560 --> 00:25:17,440 Speaker 1: to your point? I mean, Nordstrom has about two point 446 00:25:17,520 --> 00:25:20,040 Speaker 1: seven billion dollars of growth debt right now. If they 447 00:25:20,119 --> 00:25:22,920 Speaker 1: were to lever up to that five to six times 448 00:25:23,000 --> 00:25:26,080 Speaker 1: leverage contexts, that would assume, you know, roughly about seven 449 00:25:26,119 --> 00:25:30,560 Speaker 1: billion total net debt um on the existing capital structure. 450 00:25:31,000 --> 00:25:33,520 Speaker 1: So it's manageable. I mean, I think when you look 451 00:25:33,680 --> 00:25:36,280 Speaker 1: at where yields are in the high yield space for 452 00:25:36,359 --> 00:25:39,359 Speaker 1: a single B type reeler with that type of leverage 453 00:25:39,400 --> 00:25:42,800 Speaker 1: in the five times you're looking at six to seven percent, 454 00:25:42,920 --> 00:25:45,399 Speaker 1: it depends also what you're willing to pay. Well, we 455 00:25:45,480 --> 00:25:47,679 Speaker 1: got to leave it there, but very interesting giving us 456 00:25:47,720 --> 00:25:50,560 Speaker 1: these details is Chenna Ginnelli, the high yield analyst for 457 00:25:50,720 --> 00:25:52,840 Speaker 1: City Bank. We're talking about norths from the shares up 458 00:25:52,840 --> 00:25:58,119 Speaker 1: about three and a quarter percent right now. Thanks for 459 00:25:58,200 --> 00:26:00,639 Speaker 1: listening to the Bloomberg P and L pod asked. You 460 00:26:00,720 --> 00:26:04,480 Speaker 1: can subscribe and listen to interviews at Apple Podcasts, SoundCloud, 461 00:26:04,640 --> 00:26:08,080 Speaker 1: or whatever podcast platform you prefer. I'm pim Fox. I'm 462 00:26:08,119 --> 00:26:11,639 Speaker 1: on Twitter at pim Fox. I'm on Twitter at Lisa 463 00:26:11,720 --> 00:26:14,840 Speaker 1: abramowits one before the podcast. You can always catch us 464 00:26:14,880 --> 00:26:16,440 Speaker 1: worldwide on BLUEBIRG Radio