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 --> 00:00:32,159 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. All right, 7 00:00:32,200 --> 00:00:34,240 Speaker 1: let's turn our attention now to the world of high 8 00:00:34,440 --> 00:00:37,080 Speaker 1: yield bonds, and we have David Towell. He is the 9 00:00:37,120 --> 00:00:40,159 Speaker 1: president and the co founder of Maglan Capital in our 10 00:00:40,200 --> 00:00:43,200 Speaker 1: studios here at eleven three oh to tell us more. David, 11 00:00:43,200 --> 00:00:44,839 Speaker 1: thank you very much for being here. I have to 12 00:00:44,880 --> 00:00:47,519 Speaker 1: confess that, you know, I feel like I've laughed myself 13 00:00:47,560 --> 00:00:50,440 Speaker 1: because in looking at the notes for your appearance, I 14 00:00:50,520 --> 00:00:55,000 Speaker 1: noticed the words Covenant Light Loans And that just rings 15 00:00:55,000 --> 00:00:58,200 Speaker 1: a bell, doesn't it? The Covenant Light Loans can Is 16 00:00:58,240 --> 00:01:01,760 Speaker 1: there a historical connection between Covenant Light Loans today and 17 00:01:01,920 --> 00:01:09,080 Speaker 1: Covenant Light light loans maybe you know two thousand and eight. Uh, certainly, Uh, 18 00:01:09,240 --> 00:01:12,440 Speaker 1: you know, we we seem to oscillate now in the 19 00:01:12,520 --> 00:01:18,240 Speaker 1: world of risky error assets between extremes. Uh, there seems 20 00:01:18,280 --> 00:01:22,560 Speaker 1: to be a very hard push when we go risk 21 00:01:22,680 --> 00:01:27,840 Speaker 1: on to the absolute lightest of restrictions on issuers UH. 22 00:01:27,880 --> 00:01:34,360 Speaker 1: And then when things collapse, the tightening happens almost overnight. UH. 23 00:01:34,480 --> 00:01:39,240 Speaker 1: The liquidity drives up in seconds UH and pricing comes 24 00:01:39,280 --> 00:01:43,280 Speaker 1: down very very hard. What that means, I think for 25 00:01:43,440 --> 00:01:47,160 Speaker 1: the investor is you need to be aware of that 26 00:01:47,400 --> 00:01:52,320 Speaker 1: volatility that can exist. UM. To the downside, you need 27 00:01:52,360 --> 00:01:54,760 Speaker 1: to be prepared for it and be able to weather it. 28 00:01:54,960 --> 00:01:58,880 Speaker 1: Some of the best buying opportunities may come at those moments. UM. 29 00:01:58,920 --> 00:02:01,280 Speaker 1: And then to the upside, do you need to appreciate 30 00:02:01,840 --> 00:02:06,520 Speaker 1: uh something very simple like the supplied demand equation, which 31 00:02:06,600 --> 00:02:10,040 Speaker 1: is UH. We live in a world that has UM 32 00:02:10,320 --> 00:02:15,280 Speaker 1: legacy like thinking surrounding how we balance our portfolios visa 33 00:02:15,400 --> 00:02:20,880 Speaker 1: v fixed income versus equities UM. And at the same time, 34 00:02:21,440 --> 00:02:27,080 Speaker 1: the fixed income world is radically different uh than historically 35 00:02:27,120 --> 00:02:31,600 Speaker 1: it has been. UH. There is uh lowest of low 36 00:02:31,680 --> 00:02:38,600 Speaker 1: interest rates. UH. We have extremely aggressive borrowers that are 37 00:02:38,680 --> 00:02:42,000 Speaker 1: fueled by private equity firms and you know, pushing for 38 00:02:42,080 --> 00:02:44,760 Speaker 1: as much leverage as they possibly can, and to the 39 00:02:44,840 --> 00:02:47,560 Speaker 1: extent that a certain investment doesn't work out well. They 40 00:02:47,600 --> 00:02:50,959 Speaker 1: have a portfolio of other investments that are similarly levered, 41 00:02:50,960 --> 00:02:53,440 Speaker 1: and they could probably go ahead and get a grand 42 00:02:53,440 --> 00:02:55,280 Speaker 1: slam or a home run out of one of those 43 00:02:55,360 --> 00:02:58,240 Speaker 1: in order to go ahead and compensate for a loss 44 00:02:58,280 --> 00:03:00,360 Speaker 1: in their portfolio. You know, David, I really want to 45 00:03:00,360 --> 00:03:03,000 Speaker 1: hate hild bonds right now because I'm looking at yields 46 00:03:03,000 --> 00:03:04,720 Speaker 1: that are within a half percentage point from they're all 47 00:03:04,760 --> 00:03:08,080 Speaker 1: time loads for US high yield bonds. They're not high yield. 48 00:03:08,080 --> 00:03:11,240 Speaker 1: They're about five percent, which is about half of what 49 00:03:11,320 --> 00:03:13,560 Speaker 1: they've been over the past three decades of an average. 50 00:03:13,600 --> 00:03:16,720 Speaker 1: I mean, it's a tremendous decline. And I'm looking at 51 00:03:16,760 --> 00:03:20,520 Speaker 1: spreads that are also similarly depressed uh in uh in 52 00:03:20,840 --> 00:03:23,799 Speaker 1: high yield bonds in particularly and in particular, and yet 53 00:03:24,480 --> 00:03:28,960 Speaker 1: I don't see any reason for this market to reverse 54 00:03:29,000 --> 00:03:32,240 Speaker 1: in the near term. I absolutely agree with you. I think, 55 00:03:32,400 --> 00:03:34,320 Speaker 1: I'm sorry, please finish your thought. Well, no, I just 56 00:03:34,480 --> 00:03:36,080 Speaker 1: it's sort of like you know, but at the same time, 57 00:03:36,120 --> 00:03:38,680 Speaker 1: it feels terrible. It's it's really annoying to look at 58 00:03:38,680 --> 00:03:41,640 Speaker 1: this and say, you know, how do you find value here? Right? So, 59 00:03:41,760 --> 00:03:43,840 Speaker 1: I think on relative basis, a lot of high yield 60 00:03:43,880 --> 00:03:47,960 Speaker 1: managers will say what you said, which is we're doing 61 00:03:48,200 --> 00:03:51,720 Speaker 1: good relative to the risk free rate, although we've never 62 00:03:51,760 --> 00:03:55,120 Speaker 1: seen the risk premium this narrow. But at the same time, 63 00:03:55,120 --> 00:03:57,880 Speaker 1: where am I going to go ahead and get real 64 00:03:58,040 --> 00:04:01,920 Speaker 1: high yield UM? And I don't see a default cycle 65 00:04:02,160 --> 00:04:04,760 Speaker 1: coming on anytime soon, even though we're in a rising 66 00:04:04,800 --> 00:04:09,360 Speaker 1: interest rate environment and so on. Weight I actually think 67 00:04:09,400 --> 00:04:12,960 Speaker 1: that the worst point and and this is the broader 68 00:04:13,000 --> 00:04:18,039 Speaker 1: point here about general portfolio management, not for specific high 69 00:04:18,080 --> 00:04:20,760 Speaker 1: yield managers who have a mandate to invest in a 70 00:04:20,839 --> 00:04:25,080 Speaker 1: high yield I'm talking about the overall investor, whether that 71 00:04:25,120 --> 00:04:29,920 Speaker 1: be institutional or individual. UM. There is very bad risk 72 00:04:30,120 --> 00:04:35,320 Speaker 1: reward ratio right now in high yield. And what I 73 00:04:35,440 --> 00:04:38,640 Speaker 1: what I mean by that is, yes, there isn't an 74 00:04:38,680 --> 00:04:43,560 Speaker 1: apparent risk outstanding, but at the same time, we do 75 00:04:43,760 --> 00:04:49,360 Speaker 1: have some lurking potential risks like geo political, whether they 76 00:04:49,400 --> 00:04:53,479 Speaker 1: be in this country specifically or whether they be generally 77 00:04:53,520 --> 00:04:57,279 Speaker 1: around the world with regimes that are unpredictable. UM. We're 78 00:04:57,320 --> 00:05:01,719 Speaker 1: also dealing with the market that has has changed substantially 79 00:05:01,800 --> 00:05:04,920 Speaker 1: over the past five to ten years. There's a lot 80 00:05:04,960 --> 00:05:08,839 Speaker 1: of ETF money in high yield that there wasn't once was. 81 00:05:09,120 --> 00:05:12,320 Speaker 1: We do not know how that works in a bear market, 82 00:05:12,440 --> 00:05:18,279 Speaker 1: in an extreme sell off. Uh, the liquidity um depth 83 00:05:18,839 --> 00:05:22,520 Speaker 1: is much shallower than it once was. We all know 84 00:05:22,600 --> 00:05:25,359 Speaker 1: that people have talked about it at nauseum throughout the 85 00:05:25,360 --> 00:05:28,159 Speaker 1: broker dealer world. Um. And so at the end of 86 00:05:28,240 --> 00:05:36,120 Speaker 1: the day, the downside risk is extreme and unpredictable, and 87 00:05:36,160 --> 00:05:39,840 Speaker 1: the upside at this point is to your point, we're 88 00:05:39,880 --> 00:05:43,839 Speaker 1: reaching nosebleed levels. Happy Wednesday, David Towell, Thank you so 89 00:05:43,920 --> 00:05:46,760 Speaker 1: much for joining us. It's definitely a harrowing market to cover, 90 00:05:46,880 --> 00:05:50,120 Speaker 1: since we see gains every day and yet where is 91 00:05:50,160 --> 00:05:53,159 Speaker 1: that value? David Towell is president and co founder of 92 00:05:53,200 --> 00:05:56,880 Speaker 1: Magdalen Capital, which is based in New York. And I'm 93 00:05:56,920 --> 00:05:59,680 Speaker 1: looking right now at relative yields and hier bonds three 94 00:05:59,720 --> 00:06:16,160 Speaker 1: and have percentage points above treasury Young Sid Vermo, market 95 00:06:16,160 --> 00:06:19,479 Speaker 1: supporter for Bloomberg in London, joins us now and he 96 00:06:19,520 --> 00:06:23,320 Speaker 1: wrote a story about how there are some remarkable similarities 97 00:06:23,440 --> 00:06:29,480 Speaker 1: now to the lead up to the financial crisis, especially 98 00:06:29,560 --> 00:06:33,120 Speaker 1: as it relates to these big rating agencies. Said, thank 99 00:06:33,120 --> 00:06:34,600 Speaker 1: you so much for joining us. Can you just give 100 00:06:34,640 --> 00:06:38,559 Speaker 1: us a sense of what those similarities are? Yes, Um, 101 00:06:38,600 --> 00:06:41,240 Speaker 1: I mean I think It's obviously a very well documented 102 00:06:41,320 --> 00:06:45,160 Speaker 1: fact that the post crisis financial landscape for a lot 103 00:06:45,200 --> 00:06:49,640 Speaker 1: of players such as banks, or insurance firms or brokers, 104 00:06:49,640 --> 00:06:52,880 Speaker 1: couldn't be any more different. But the big three credit 105 00:06:52,960 --> 00:06:58,160 Speaker 1: rating agencies maintain their market share, their business models remain intact, 106 00:06:58,240 --> 00:07:01,680 Speaker 1: and their profits are remaining extremely strong. UM. At the 107 00:07:01,760 --> 00:07:06,280 Speaker 1: same time, the regulatory regime that governs credit rating agencies 108 00:07:06,880 --> 00:07:12,840 Speaker 1: on all accounts remains remarkably soft relative to the fact 109 00:07:12,880 --> 00:07:16,800 Speaker 1: that they were blamed as the villains UM for creating 110 00:07:16,800 --> 00:07:19,840 Speaker 1: a crisis in the first place. UM. The issue of 111 00:07:19,960 --> 00:07:26,560 Speaker 1: pays model, which was really lamented UM and one of 112 00:07:26,600 --> 00:07:31,400 Speaker 1: the reasons cited by US regulators for contributing to the 113 00:07:31,400 --> 00:07:35,160 Speaker 1: crisis in the first place through creating conflicts of interest, 114 00:07:35,880 --> 00:07:41,000 Speaker 1: remains intact and and many many people concerned that they crept. 115 00:07:41,000 --> 00:07:44,720 Speaker 1: The big three agencies UM have been loosening their standards 116 00:07:45,000 --> 00:07:49,160 Speaker 1: just trying to win business, and that crisis era behavior 117 00:07:49,200 --> 00:07:54,560 Speaker 1: has been noted by UM the sec and we've also 118 00:07:54,680 --> 00:08:00,960 Speaker 1: seen UM some problems in the asset that security industry, 119 00:08:01,160 --> 00:08:04,320 Speaker 1: in which UM a couple of the agencies have been 120 00:08:04,400 --> 00:08:09,760 Speaker 1: faulted UM, but it's not clear how much has changed 121 00:08:10,360 --> 00:08:13,880 Speaker 1: was really the numb of my piece. Well, you're being 122 00:08:13,880 --> 00:08:17,160 Speaker 1: diplomatic about it, said, so we we appreciate that. I 123 00:08:17,640 --> 00:08:20,360 Speaker 1: won't be because you know this thing about paying for 124 00:08:20,440 --> 00:08:22,600 Speaker 1: a rating. I'm wondering if you could explain that to 125 00:08:22,720 --> 00:08:26,800 Speaker 1: people how that works. And uh, you know, when businesses, 126 00:08:26,840 --> 00:08:29,000 Speaker 1: not only when you're thinking of investing in a business, 127 00:08:29,000 --> 00:08:32,000 Speaker 1: but I mean thinking of buying a business, particularly if 128 00:08:32,040 --> 00:08:34,240 Speaker 1: it's a large business and it has lots of relations 129 00:08:34,320 --> 00:08:36,679 Speaker 1: financial relationships, they're gonna go out and they're gonna get 130 00:08:36,679 --> 00:08:38,520 Speaker 1: a rating, and they're gonna get a rating either from 131 00:08:38,760 --> 00:08:41,360 Speaker 1: you know, maybe even an insurance company, and then they 132 00:08:41,440 --> 00:08:44,240 Speaker 1: use that rating because that's part of the sale process. 133 00:08:44,559 --> 00:08:49,400 Speaker 1: Speak about how people pay for ratings. You've encapsulated the 134 00:08:49,440 --> 00:08:53,920 Speaker 1: issue very well. UM. Basically, since the nineteen seventies, a 135 00:08:54,120 --> 00:08:58,680 Speaker 1: model in which the bora UM buys a credit rating 136 00:08:58,880 --> 00:09:04,040 Speaker 1: and then the credit agency itself does an assessment that's 137 00:09:04,559 --> 00:09:09,000 Speaker 1: supposed to be independent about its credit wordiness UM uh 138 00:09:09,360 --> 00:09:12,920 Speaker 1: kicks in and UM A lot of that has obviously 139 00:09:12,960 --> 00:09:16,160 Speaker 1: come under a lot of criticism. UM. What's interesting is 140 00:09:16,200 --> 00:09:20,280 Speaker 1: there have been new credit rating agencies that have emerged 141 00:09:20,280 --> 00:09:24,839 Speaker 1: on the scene which have tried to go on an 142 00:09:24,840 --> 00:09:30,600 Speaker 1: investor pays model in which subscribers to the credit rating 143 00:09:31,280 --> 00:09:35,439 Speaker 1: UM pay for the rating and the issuer itself doesn't 144 00:09:35,480 --> 00:09:39,120 Speaker 1: pay for the rating to try and reduce perceived conflicts 145 00:09:39,120 --> 00:09:43,520 Speaker 1: of interest. Interestingly, that hasn't really got off the ground UM. 146 00:09:43,600 --> 00:09:46,800 Speaker 1: A lot of investors UM. There is a free rider 147 00:09:46,880 --> 00:09:50,439 Speaker 1: issue there, A lot of the rating agency information, rating 148 00:09:50,880 --> 00:09:55,040 Speaker 1: information and rating itself can be consumed by third party 149 00:09:55,080 --> 00:09:58,880 Speaker 1: who don't provide UM, you know, don't contribute financially to 150 00:09:59,040 --> 00:10:01,760 Speaker 1: the cost of that rate thing UM. And so we've 151 00:10:01,800 --> 00:10:06,800 Speaker 1: seen that model not take off. Same time, the credit 152 00:10:06,880 --> 00:10:11,760 Speaker 1: rating agencies argue themselves that UM. What we've seen is 153 00:10:12,080 --> 00:10:15,520 Speaker 1: the fact that that's a very difficult model because actually 154 00:10:15,559 --> 00:10:19,719 Speaker 1: by reducing information in the marketplace, you increase trading courts UM. 155 00:10:19,760 --> 00:10:22,959 Speaker 1: And there's a reason why that model UM exists, and 156 00:10:23,000 --> 00:10:24,800 Speaker 1: there's a reason why it persists. You know. I have 157 00:10:24,920 --> 00:10:27,360 Speaker 1: to say, just anecdotally, just to push back a little bit, 158 00:10:27,400 --> 00:10:31,880 Speaker 1: I have heard from investors that in fact, UH, when 159 00:10:31,920 --> 00:10:35,599 Speaker 1: they want a deal rated that is maybe smaller and 160 00:10:35,679 --> 00:10:39,360 Speaker 1: a structured deals a securitization, they'll go to DBRs or 161 00:10:39,440 --> 00:10:43,280 Speaker 1: CRULL simply because SMP and Moody's and Fitch will not 162 00:10:43,440 --> 00:10:45,520 Speaker 1: rate it because they do not want to be accused 163 00:10:45,720 --> 00:10:48,640 Speaker 1: of exactly what you are saying in your article. What's 164 00:10:48,679 --> 00:10:52,200 Speaker 1: your response to that. Yeah, I mean, certainly their market 165 00:10:52,280 --> 00:10:54,680 Speaker 1: share has been reduced and you can see that in 166 00:10:54,800 --> 00:10:59,480 Speaker 1: some of their numbers for the asset backed securitization market, 167 00:11:00,320 --> 00:11:04,240 Speaker 1: and SMP has been fingered by the SEC for and 168 00:11:04,360 --> 00:11:08,000 Speaker 1: was banned from a portion of that credit market for 169 00:11:08,040 --> 00:11:12,520 Speaker 1: a UM. But a lot of the a lot of 170 00:11:12,520 --> 00:11:17,080 Speaker 1: the issues of that market probably pertained to the fact 171 00:11:17,160 --> 00:11:22,040 Speaker 1: that a lot of the rated issuance is pretty minuscule 172 00:11:22,400 --> 00:11:25,160 Speaker 1: UM and we've not really seen it achieved to its 173 00:11:25,160 --> 00:11:27,920 Speaker 1: pre crisis peak. So yes, UM, a lot of the 174 00:11:28,000 --> 00:11:31,520 Speaker 1: rating agencies and the Big three might be concerned about 175 00:11:31,520 --> 00:11:34,800 Speaker 1: their reputational risks in that market, but it's not really 176 00:11:34,880 --> 00:11:38,440 Speaker 1: from a kind of business perspective that problematic for them, 177 00:11:38,520 --> 00:11:42,120 Speaker 1: because there's been this boom in corporate bond issuance and 178 00:11:42,200 --> 00:11:45,560 Speaker 1: boom and emerging market bonding. So literally they made it 179 00:11:45,640 --> 00:11:50,400 Speaker 1: up in volume completely right. They set revenues from the 180 00:11:50,480 --> 00:11:54,360 Speaker 1: declining revenues and securitization. Yeah, yeah, well done, good good 181 00:11:54,400 --> 00:11:56,480 Speaker 1: to have you on. Thank you very much. Sid Verma 182 00:11:56,880 --> 00:11:59,560 Speaker 1: is our markets reporter for a Bloomberg. He joins us 183 00:11:59,600 --> 00:12:15,480 Speaker 1: from London. Well, Apple reported earnings yesterday after the bell, 184 00:12:15,679 --> 00:12:18,360 Speaker 1: and they were great. The markets cheering stocks are up 185 00:12:18,360 --> 00:12:21,240 Speaker 1: the highest to the highest levels they have ever been, 186 00:12:21,520 --> 00:12:24,960 Speaker 1: dragging along a lot of other UH shares with them, 187 00:12:25,160 --> 00:12:27,720 Speaker 1: and Shara Overday is here to cast some shade on 188 00:12:27,760 --> 00:12:31,119 Speaker 1: it all. Shara Ovida is our technology calumnist for Bloomberg, 189 00:12:31,240 --> 00:12:33,560 Speaker 1: gad Fly and Shira I am just struck by the 190 00:12:33,559 --> 00:12:36,480 Speaker 1: fact that our entire stock market is leveraged to an iPhone. 191 00:12:36,960 --> 00:12:39,600 Speaker 1: Can you give us a sense of what your main 192 00:12:39,640 --> 00:12:44,360 Speaker 1: takeaways were from this earnings report? Well, it was better 193 00:12:44,440 --> 00:12:49,199 Speaker 1: than feared, I think, is the big top line headline right, 194 00:12:49,280 --> 00:12:52,880 Speaker 1: And you're right that. I mean a large portion of 195 00:12:53,000 --> 00:12:55,880 Speaker 1: Apple's share press right now is leveraged to a phone 196 00:12:55,920 --> 00:12:57,959 Speaker 1: that no one has seen yet, which is the next 197 00:12:58,240 --> 00:13:02,199 Speaker 1: versions of the iPhone. Expe did to debut in September 198 00:13:02,400 --> 00:13:06,080 Speaker 1: or so, and the stock has been running up for 199 00:13:06,120 --> 00:13:09,320 Speaker 1: more than a year basically on expectations that this new 200 00:13:09,360 --> 00:13:12,800 Speaker 1: phone is going to unleash what the the Wall Street 201 00:13:13,160 --> 00:13:18,480 Speaker 1: smarties have called a supercycle of iPhone sales. Sure, just 202 00:13:18,559 --> 00:13:20,720 Speaker 1: to move us to the numbers for just a moment, 203 00:13:20,760 --> 00:13:24,400 Speaker 1: because I find this staggering. This is a company that, 204 00:13:24,880 --> 00:13:27,720 Speaker 1: at least, as for the last twelve months, two hundred 205 00:13:27,760 --> 00:13:32,720 Speaker 1: and twenty three billion dollars in sales. So because my 206 00:13:32,760 --> 00:13:34,720 Speaker 1: brain is small, I get rid of the billions and 207 00:13:34,720 --> 00:13:36,440 Speaker 1: I just say, all right, imagine you had a business 208 00:13:36,440 --> 00:13:39,680 Speaker 1: where you did two hundred and twenty three dollars in 209 00:13:39,760 --> 00:13:41,840 Speaker 1: sales and you were able to put forty six of 210 00:13:41,880 --> 00:13:45,160 Speaker 1: it in your pocket. Forty six billion dollars in profit 211 00:13:45,200 --> 00:13:48,560 Speaker 1: out of that to twenty three. That is a staggering thing, 212 00:13:48,600 --> 00:13:51,000 Speaker 1: no matter whether it's you know, you're selling phones or 213 00:13:51,160 --> 00:13:54,320 Speaker 1: or you know, I don't know, pocket protectors. But it 214 00:13:54,480 --> 00:13:59,120 Speaker 1: is amazing that the scale of this business continues to grow. 215 00:13:59,160 --> 00:14:01,760 Speaker 1: Do you think they can continue this this momentum? I mean, 216 00:14:01,800 --> 00:14:06,040 Speaker 1: can they get the fifty in profits? Well? Certainly seems 217 00:14:06,040 --> 00:14:07,960 Speaker 1: in rage and you're right that. I mean, the scale 218 00:14:08,240 --> 00:14:15,000 Speaker 1: of Apple is nuts. I mean, this is its own category. Yes, 219 00:14:15,080 --> 00:14:18,000 Speaker 1: it's own category. It's the most profitable company in the 220 00:14:18,040 --> 00:14:22,040 Speaker 1: country by you know, a long shot um. But the 221 00:14:22,080 --> 00:14:25,480 Speaker 1: big question is what is the natural growth rate in 222 00:14:25,520 --> 00:14:28,880 Speaker 1: the future for Apple? And I don't know the answer 223 00:14:28,920 --> 00:14:32,080 Speaker 1: to that question, right, what what Apple had been before 224 00:14:32,160 --> 00:14:35,200 Speaker 1: last year or so was a company that was huge, 225 00:14:35,760 --> 00:14:40,880 Speaker 1: incredibly profitable and growing very quickly. And the growth part 226 00:14:41,120 --> 00:14:44,120 Speaker 1: of that three legged stool kind of has fallen apart. 227 00:14:44,600 --> 00:14:48,200 Speaker 1: And so what we don't know is, Okay, what is 228 00:14:48,240 --> 00:14:51,400 Speaker 1: the natural growth rate of a company at Apple scale 229 00:14:52,040 --> 00:14:55,200 Speaker 1: beyond the next year or so? And I don't think 230 00:14:55,240 --> 00:14:58,480 Speaker 1: anybody has a realistic answer to that question. Well, and Sira, 231 00:14:58,600 --> 00:15:01,560 Speaker 1: in your latest god Like column, you talked about how 232 00:15:01,640 --> 00:15:05,200 Speaker 1: sales in China have been following for six consecutive quarters 233 00:15:05,200 --> 00:15:09,160 Speaker 1: and continued in this lot latest pay earning this period. 234 00:15:09,600 --> 00:15:13,480 Speaker 1: Uh in other places also internationally, Apple has not gained 235 00:15:13,520 --> 00:15:17,680 Speaker 1: the same kind of traction and it's certainly accelerating momentum 236 00:15:17,800 --> 00:15:19,920 Speaker 1: as it has in the US. And I'm just wondering 237 00:15:20,320 --> 00:15:22,960 Speaker 1: how much is priced into the shares already, right, because 238 00:15:22,960 --> 00:15:24,840 Speaker 1: we're talking about a relative game. We're not talking about 239 00:15:24,880 --> 00:15:27,840 Speaker 1: Apple going out of business or becoming, you know, not 240 00:15:28,000 --> 00:15:31,400 Speaker 1: a behemoth and an amazing performer. We're talking about, you know, 241 00:15:31,720 --> 00:15:36,440 Speaker 1: is is the stock price pricing in astronomical growth that 242 00:15:36,480 --> 00:15:39,320 Speaker 1: seems improbable at this point? What's your answer to that question? 243 00:15:40,840 --> 00:15:43,080 Speaker 1: Probably is the answer to that question. I mean, the 244 00:15:43,640 --> 00:15:47,560 Speaker 1: stock has run up. UM. Apple has always been a 245 00:15:47,600 --> 00:15:51,720 Speaker 1: little bit of a tricky company to value because it's 246 00:15:51,720 --> 00:15:54,880 Speaker 1: a hardware company and typically those are valued lower than 247 00:15:54,920 --> 00:16:00,600 Speaker 1: other kinds of high margin software companies. UM. But even 248 00:16:00,680 --> 00:16:05,520 Speaker 1: relative to Apple's own history, it's stock valuation is higher 249 00:16:05,560 --> 00:16:08,440 Speaker 1: than it has ever been, or certainly has ever been 250 00:16:08,520 --> 00:16:11,680 Speaker 1: in the recent history of Apple. And there is a 251 00:16:11,720 --> 00:16:16,640 Speaker 1: lot of expectation of growth and profitability baked into the 252 00:16:16,640 --> 00:16:18,400 Speaker 1: share price at this point. And obviously, you know the 253 00:16:18,400 --> 00:16:21,760 Speaker 1: slucks now at a record today, so that's even pushing 254 00:16:21,840 --> 00:16:27,640 Speaker 1: up the valuation even more. India and the next maybe 255 00:16:27,720 --> 00:16:30,120 Speaker 1: frontier for Apple, because I know that Tim Cook, the 256 00:16:30,160 --> 00:16:33,640 Speaker 1: chief executive, he's already said he's focused on India, and 257 00:16:33,680 --> 00:16:37,600 Speaker 1: indeed production of the iPhone SE is going to begin 258 00:16:38,080 --> 00:16:41,640 Speaker 1: this quarter. That could be the next growth story. Yeah, 259 00:16:41,680 --> 00:16:44,480 Speaker 1: India is a very interesting market, not only for Apple, 260 00:16:44,560 --> 00:16:48,360 Speaker 1: but for lots of other tech companies, both domestic tech 261 00:16:48,400 --> 00:16:51,720 Speaker 1: companies and India and foreign companies like Apple and Amazon, 262 00:16:51,760 --> 00:16:54,920 Speaker 1: which is also investing heavily in India. UM. Tim Cook 263 00:16:55,000 --> 00:16:58,160 Speaker 1: has said for a while now that he sees India 264 00:16:58,400 --> 00:17:02,080 Speaker 1: on kind of a similar potent entual trajectory as China 265 00:17:02,160 --> 00:17:05,560 Speaker 1: for them, which has been an enormous growth driver, although 266 00:17:05,560 --> 00:17:09,600 Speaker 1: India is lagging far behind. Really, in the last year, 267 00:17:09,960 --> 00:17:15,120 Speaker 1: you've seen this huge surge of people with UM smartphone 268 00:17:15,200 --> 00:17:18,320 Speaker 1: connections with There's been some moves by one of the 269 00:17:18,400 --> 00:17:22,680 Speaker 1: domestic cell phone companies in India to basically make almost 270 00:17:23,000 --> 00:17:27,520 Speaker 1: free fast Internet connection from people's phones, and that's going 271 00:17:27,560 --> 00:17:30,200 Speaker 1: to be a big help to anybody that's selling smartphones 272 00:17:30,240 --> 00:17:32,320 Speaker 1: in India. But there's a lot of hurdles. I mean 273 00:17:32,359 --> 00:17:36,400 Speaker 1: there there's a lot of favoritism towards UM domestic companies 274 00:17:36,400 --> 00:17:40,960 Speaker 1: in India. Apple phones are very expensive relative to what 275 00:17:41,080 --> 00:17:44,200 Speaker 1: people typically buy in India, so it's not an immediate 276 00:17:44,240 --> 00:17:47,040 Speaker 1: growth story. Thanks very much for being here. Sure O. 277 00:17:47,119 --> 00:17:52,159 Speaker 1: The day is Bloomberg Gadfly columnists covering technology for Bloomberg News. 278 00:18:04,040 --> 00:18:06,960 Speaker 1: Let's turn our attention now to China. The Premier of 279 00:18:07,040 --> 00:18:11,479 Speaker 1: China said yesterday that all states US states, including Michigan, 280 00:18:11,480 --> 00:18:15,640 Speaker 1: are welcome to strength and exchanges with provinces and municipalities 281 00:18:15,720 --> 00:18:19,320 Speaker 1: in China in order to deepen cooperation in fields such 282 00:18:19,400 --> 00:18:23,600 Speaker 1: as trade, investment, manufacturing, and innovations. Who was he speaking 283 00:18:23,640 --> 00:18:26,560 Speaker 1: to the Governor of Michigan, Rick Snyder, who happens to 284 00:18:26,600 --> 00:18:29,080 Speaker 1: be in China. Here to tell us about the U. S. 285 00:18:29,160 --> 00:18:32,320 Speaker 1: China trade relation is Tom Orlick. Here's our chief Asia 286 00:18:32,359 --> 00:18:37,040 Speaker 1: economist for Bloomberg Intelligence. Uh, Tom, maybe just come in 287 00:18:37,080 --> 00:18:40,600 Speaker 1: on what is the current state of US China trade 288 00:18:40,680 --> 00:18:43,760 Speaker 1: relations and what do you believe the President and the 289 00:18:43,800 --> 00:18:47,600 Speaker 1: administration are going to propose. Um, I think the current 290 00:18:47,640 --> 00:18:51,960 Speaker 1: picture is actually extremely positive for China, PIM. If you remember, 291 00:18:52,119 --> 00:18:55,600 Speaker 1: Donald Trump came into office promising to get extremely tough 292 00:18:55,800 --> 00:18:59,760 Speaker 1: on China relations. He was talking about at tariff on 293 00:19:00,040 --> 00:19:05,440 Speaker 1: Chinese imports, talking about naming China a currency manipulator. So far, 294 00:19:05,760 --> 00:19:10,560 Speaker 1: we've had some aggressive tweets, we've had some um suggestive 295 00:19:10,600 --> 00:19:12,760 Speaker 1: reports from the U. S. T R and others, but 296 00:19:12,840 --> 00:19:16,080 Speaker 1: in terms of substance, we've basically had nothing. And that 297 00:19:16,160 --> 00:19:19,720 Speaker 1: means that China's exports to the US are doing really 298 00:19:19,760 --> 00:19:23,960 Speaker 1: well up around so far this year. Well, Tom, there 299 00:19:24,040 --> 00:19:26,040 Speaker 1: was a report today out of the New York Times 300 00:19:26,040 --> 00:19:28,240 Speaker 1: saying the White House is preparing to open a broad 301 00:19:28,320 --> 00:19:32,199 Speaker 1: investigation into China's trade practices. This is in part to 302 00:19:33,320 --> 00:19:36,120 Speaker 1: possibly counter the country's effort to become a global leader 303 00:19:36,119 --> 00:19:39,119 Speaker 1: in microchips, electric cars, and other crucial technologies of the future. 304 00:19:39,720 --> 00:19:43,840 Speaker 1: Does that concern you in any way? China is a 305 00:19:43,840 --> 00:19:48,680 Speaker 1: country which has an industrial strategy, so they're consciously and 306 00:19:48,840 --> 00:19:52,760 Speaker 1: deliberately attempting to catch up with the technology frontier. They 307 00:19:52,800 --> 00:19:56,840 Speaker 1: see what the US, Europe, Japan has in terms of 308 00:19:56,920 --> 00:19:59,719 Speaker 1: high technology and they want to get there, and they 309 00:19:59,800 --> 00:20:06,280 Speaker 1: use policy together. UM. Now, so far, other countries have 310 00:20:06,400 --> 00:20:10,440 Speaker 1: not really formulated a response to that. UM. It's been 311 00:20:10,520 --> 00:20:13,000 Speaker 1: left to corporates to decide do we want to put 312 00:20:13,040 --> 00:20:15,560 Speaker 1: on new high tech R and D facility in China 313 00:20:15,920 --> 00:20:19,919 Speaker 1: and risk that technology transfer or not. What this seems 314 00:20:19,960 --> 00:20:23,280 Speaker 1: to suggest is perhaps the Trump administration is going to 315 00:20:23,400 --> 00:20:26,520 Speaker 1: put a bit of US government strategy around a response. 316 00:20:26,680 --> 00:20:29,320 Speaker 1: Oh that's fascinating I I when I see this, I 317 00:20:29,320 --> 00:20:33,159 Speaker 1: start thinking to myself, Wow, China US relationship trade and 318 00:20:33,160 --> 00:20:35,560 Speaker 1: then paired with North Korea and the fact that US 319 00:20:35,640 --> 00:20:39,080 Speaker 1: is trying to uh strengthen its hand to force China 320 00:20:39,119 --> 00:20:42,680 Speaker 1: into action with North Korea. But what you're saying makes 321 00:20:42,680 --> 00:20:46,040 Speaker 1: it sound like this is completely unrelated. I think the 322 00:20:46,160 --> 00:20:48,480 Speaker 1: US administration are going to be taking a view on 323 00:20:48,640 --> 00:20:51,720 Speaker 1: China relations in the round. If you remember, going back 324 00:20:51,720 --> 00:20:56,159 Speaker 1: to the she Trump meeting at Mara Lago, Trump said, Okay, 325 00:20:56,240 --> 00:20:58,400 Speaker 1: we can't go in too hard on trade. We can't 326 00:20:58,400 --> 00:21:00,600 Speaker 1: go in too hard on the exchange rate because we 327 00:21:00,720 --> 00:21:04,840 Speaker 1: need support on North Korea. UM. At the same time, 328 00:21:04,880 --> 00:21:07,680 Speaker 1: clearly it's possible to snap these things apart and take 329 00:21:07,760 --> 00:21:13,280 Speaker 1: separate views on security, trade, intellectual property. Tom fox Can 330 00:21:14,119 --> 00:21:17,240 Speaker 1: didn't the the president was touting this move by fox 331 00:21:17,320 --> 00:21:22,439 Speaker 1: Can to place a new factory in the United States, right, 332 00:21:22,760 --> 00:21:26,120 Speaker 1: maybe spend anywhere from ten to thirty billion dollars here. 333 00:21:26,840 --> 00:21:29,200 Speaker 1: If you're going to praise them for doing that, how 334 00:21:29,240 --> 00:21:31,720 Speaker 1: can you in the same what what's the reaction from 335 00:21:31,720 --> 00:21:34,920 Speaker 1: the Chinese leaders if you if you praise that and 336 00:21:35,000 --> 00:21:38,399 Speaker 1: then launch this trade investigation, what do you think Chinese 337 00:21:38,520 --> 00:21:42,400 Speaker 1: leaders and business leaders are thinking. So my first reaction 338 00:21:42,480 --> 00:21:46,119 Speaker 1: to that fox Can news was ten billion dollars. That 339 00:21:46,280 --> 00:21:50,240 Speaker 1: must be the most expensive factory ever built. UM. My 340 00:21:50,359 --> 00:21:55,440 Speaker 1: second reaction was, do US politicians know what it's like 341 00:21:55,680 --> 00:22:00,480 Speaker 1: working in a Chinese factory? Is this the kind of 342 00:22:00,560 --> 00:22:03,680 Speaker 1: job which they really want to offer to their voters. 343 00:22:04,560 --> 00:22:07,200 Speaker 1: Take a look at some of the news flow on 344 00:22:07,359 --> 00:22:12,159 Speaker 1: what happens at some of Chinese electronics assembly plants. I 345 00:22:12,280 --> 00:22:14,719 Speaker 1: understand in certain places, right, they put nets so that 346 00:22:14,760 --> 00:22:19,040 Speaker 1: people who jump aren't don't necessarily die. They have nets, 347 00:22:19,040 --> 00:22:21,200 Speaker 1: and those nets and not being used to play soccer, 348 00:22:21,400 --> 00:22:24,560 Speaker 1: that's right, Pim, Well, I just want to get a sense, 349 00:22:24,600 --> 00:22:28,280 Speaker 1: so if you do, zoom back. And I am wondering 350 00:22:28,359 --> 00:22:30,439 Speaker 1: as we hear more about North Korea, and there was 351 00:22:30,440 --> 00:22:33,880 Speaker 1: a report on Bloomberg today talking about how perhaps North 352 00:22:33,960 --> 00:22:39,720 Speaker 1: Korean nuclear technologies have gotten too far for sanctions to work. 353 00:22:39,840 --> 00:22:43,000 Speaker 1: I'm just wondering what's the state of the relationship between 354 00:22:43,080 --> 00:22:46,200 Speaker 1: China and the US with respect to moving forward and 355 00:22:46,280 --> 00:22:51,480 Speaker 1: some kind of diplomatic solution to that quagmire. I think 356 00:22:51,560 --> 00:22:54,000 Speaker 1: for Beijing, there's going to be a certain amount of 357 00:22:54,040 --> 00:22:58,920 Speaker 1: confusion in the new aggressive approach which the Trump administration 358 00:22:59,000 --> 00:23:03,840 Speaker 1: is taking. Um Mara Largo. Trump passed she to help 359 00:23:03,840 --> 00:23:07,280 Speaker 1: out with North Korea. UM and China has now actually 360 00:23:07,280 --> 00:23:09,760 Speaker 1: gone further than it's ever gone in the past in 361 00:23:09,880 --> 00:23:14,160 Speaker 1: terms of putting the choke on North Korea's exports. China 362 00:23:14,240 --> 00:23:18,439 Speaker 1: has basically embargoed North Korea's sales of coal, which cuts 363 00:23:18,440 --> 00:23:22,560 Speaker 1: off a huge source of f X income from Pyongyang. Now, 364 00:23:22,600 --> 00:23:24,800 Speaker 1: you would expect that that would be welcomed by the 365 00:23:24,840 --> 00:23:28,200 Speaker 1: Trump administration as a kind of constructive show of good 366 00:23:28,200 --> 00:23:32,720 Speaker 1: faith by the Chinese administration. In fact, the reverse has happened. 367 00:23:33,040 --> 00:23:36,080 Speaker 1: Trump has been on Twitter saying China has done nothing, 368 00:23:36,280 --> 00:23:41,160 Speaker 1: China needs to do more. He's very disappointed. You've been 369 00:23:41,720 --> 00:23:43,679 Speaker 1: studying China, but I think you've been in China for 370 00:23:43,720 --> 00:23:48,040 Speaker 1: how long a decade? All rights a decade. Are there 371 00:23:48,160 --> 00:23:50,720 Speaker 1: some things that you can describe, even anecdotally, to give 372 00:23:50,760 --> 00:23:54,040 Speaker 1: people a quick version of what they would see if 373 00:23:54,040 --> 00:23:58,280 Speaker 1: they went to China they've never been. I think the 374 00:23:58,320 --> 00:24:02,000 Speaker 1: striking thing which people miss a by China pim um 375 00:24:02,160 --> 00:24:05,440 Speaker 1: is firstly, well, I think the thing which people miss 376 00:24:05,440 --> 00:24:08,399 Speaker 1: about China when they read the coverage in some of 377 00:24:08,400 --> 00:24:11,199 Speaker 1: the Western press is just the optimism you have on 378 00:24:11,280 --> 00:24:13,919 Speaker 1: the grain there. I think if you read you know, 379 00:24:14,040 --> 00:24:17,600 Speaker 1: Western commentary, you think the end is nigh, the credit 380 00:24:17,640 --> 00:24:21,679 Speaker 1: bubble um, the stress in the financial system. That's just 381 00:24:21,800 --> 00:24:24,720 Speaker 1: not the feeling on the Chinese street. Tom more Like, 382 00:24:24,760 --> 00:24:26,320 Speaker 1: thank you so much for joining us, Tom or Like 383 00:24:26,359 --> 00:24:32,719 Speaker 1: as Chief Asia economist for Bloomberg Intelligence. Thanks for listening 384 00:24:32,760 --> 00:24:35,639 Speaker 1: to the Bloomberg p M l podcast. You can subscribe 385 00:24:35,640 --> 00:24:39,240 Speaker 1: and listen to interviews at Apple Podcasts, SoundCloud, or whatever 386 00:24:39,280 --> 00:24:42,800 Speaker 1: podcast platform you prefer. I'm Pim Fox. I'm on Twitter 387 00:24:43,080 --> 00:24:46,600 Speaker 1: at pim Fox. I'm on Twitter at Lisa Abramo. It's 388 00:24:46,640 --> 00:24:49,680 Speaker 1: one before the podcast. You can always catch us worldwide 389 00:24:49,680 --> 00:24:50,639 Speaker 1: on Bloomberg Radio