1 00:00:02,400 --> 00:00:11,039 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:12,920 --> 00:00:15,320 Speaker 2: The single best idea, of course it would be after 3 00:00:15,360 --> 00:00:18,080 Speaker 2: the fact, but tune into the FED to Sides this afternoon, 4 00:00:18,880 --> 00:00:21,319 Speaker 2: which is a show we invented to just say let's 5 00:00:21,360 --> 00:00:25,960 Speaker 2: have good conversation around a FED meeting. I remember when, 6 00:00:26,000 --> 00:00:28,840 Speaker 2: you know, the first time we put it together ages ago. 7 00:00:28,880 --> 00:00:30,760 Speaker 2: I think Scarlett Foo was with me at the time, 8 00:00:31,320 --> 00:00:35,120 Speaker 2: and the basic idea was there's a lot of different opinions. 9 00:00:35,200 --> 00:00:40,000 Speaker 2: I can't remember a time where there's more people swing 10 00:00:40,040 --> 00:00:42,120 Speaker 2: in one way and more people swing in the other 11 00:00:42,159 --> 00:00:45,000 Speaker 2: way that we see right now. And I would codify 12 00:00:45,080 --> 00:00:48,520 Speaker 2: it in economics with Tom Percelli, who was on today 13 00:00:48,560 --> 00:00:50,960 Speaker 2: with p Jim who said, look, they're going to cut rates. 14 00:00:51,000 --> 00:00:53,000 Speaker 2: They have to cut rates, and he gave four reasons, 15 00:00:53,440 --> 00:00:58,319 Speaker 2: and Lindsay piegsa At Stiefel, who says they're wrong. They 16 00:00:58,320 --> 00:01:01,680 Speaker 2: need to get out front, raise rays, clamped this thing down, 17 00:01:02,280 --> 00:01:06,240 Speaker 2: stopped this inflation trend, and then bring them down. And 18 00:01:06,280 --> 00:01:07,840 Speaker 2: that's what we're trying to do at surveillance. We'll see 19 00:01:07,840 --> 00:01:10,680 Speaker 2: if we can effort them for conversation next week or 20 00:01:10,760 --> 00:01:14,040 Speaker 2: even the week on a single best idea today, two 21 00:01:14,120 --> 00:01:17,720 Speaker 2: really different views here. The first one is Stuart Kaiser. 22 00:01:18,480 --> 00:01:21,600 Speaker 2: Stuart Kaiser's a city group. He has been not a 23 00:01:21,680 --> 00:01:24,080 Speaker 2: rabbid bull, but he's been someone that said, here's the 24 00:01:24,120 --> 00:01:28,800 Speaker 2: framework for American exceptionalism, American GDP, and it's going to 25 00:01:28,880 --> 00:01:32,600 Speaker 2: lead into higher stock prices. He looks at the broadening 26 00:01:32,600 --> 00:01:35,679 Speaker 2: of the market and he says in earning season, it's 27 00:01:35,800 --> 00:01:37,160 Speaker 2: tough to get the data right. 28 00:01:37,600 --> 00:01:39,759 Speaker 3: The problem with the broadening theme for US has been 29 00:01:40,080 --> 00:01:42,240 Speaker 3: it doesn't work in two conditions, one when you have 30 00:01:42,360 --> 00:01:45,960 Speaker 3: risk rising and two, frankly during earnings because the fact 31 00:01:46,040 --> 00:01:48,760 Speaker 3: is your Microsoft's, your Apples, your Amazons, your Google's are 32 00:01:48,800 --> 00:01:52,160 Speaker 3: just putting up huge numbers. It harkens back a little 33 00:01:52,160 --> 00:01:54,440 Speaker 3: bit to the late nineties when you were basically introducing 34 00:01:54,480 --> 00:01:57,600 Speaker 3: a new technology into the system and you assumed a 35 00:01:57,680 --> 00:01:59,960 Speaker 3: forecasts really large revenue growth, but you were a little on 36 00:02:00,120 --> 00:02:02,320 Speaker 3: certain about, you know, both the size and timing of it. 37 00:02:02,800 --> 00:02:04,360 Speaker 3: So I think what you're having is to your point, 38 00:02:04,360 --> 00:02:07,400 Speaker 3: people are compartmentalizing a little bit, right, Like, I need 39 00:02:07,440 --> 00:02:09,679 Speaker 3: to have some AI exposure on let me choose the 40 00:02:09,720 --> 00:02:11,840 Speaker 3: way to do that, and then off to the side 41 00:02:11,840 --> 00:02:13,680 Speaker 3: of that, I kind of need to model the rest 42 00:02:13,680 --> 00:02:16,440 Speaker 3: of the market, you know, as a little bit independently. 43 00:02:16,480 --> 00:02:18,480 Speaker 3: So it is a challenge, but it's a good challenge 44 00:02:18,480 --> 00:02:19,880 Speaker 3: to have, right I think it's a good challenge to 45 00:02:19,919 --> 00:02:22,840 Speaker 3: have that you have this large thematic revenue growth impulse 46 00:02:22,919 --> 00:02:25,240 Speaker 3: kind of coming through the system and look at this 47 00:02:25,280 --> 00:02:27,400 Speaker 3: is why you know, we've kind of joked the Nvidia 48 00:02:27,440 --> 00:02:30,640 Speaker 3: earnings report in late May is priced as big an 49 00:02:30,639 --> 00:02:33,040 Speaker 3: event as payrolls on Friday. Not only is it a 50 00:02:33,040 --> 00:02:35,800 Speaker 3: big theme, it's also an uncertain theme. And even at 51 00:02:35,800 --> 00:02:37,760 Speaker 3: the S and P level, that risk is being priced 52 00:02:37,800 --> 00:02:38,480 Speaker 3: very aggressibly. 53 00:02:38,600 --> 00:02:41,880 Speaker 2: Stud Kaiser City Group. There very sharp, huge response today 54 00:02:42,040 --> 00:02:45,040 Speaker 2: and we'll get them back soon. I really want to 55 00:02:45,080 --> 00:02:48,920 Speaker 2: emphasize that in the earning season we're in, there's different 56 00:02:48,960 --> 00:02:52,239 Speaker 2: metrics that I hear and they come into vogue, that 57 00:02:52,320 --> 00:02:53,920 Speaker 2: come out of vogue, and one of them off the 58 00:02:53,960 --> 00:02:58,200 Speaker 2: tech juggernaut we've seen so far with Apple tomorrow is 59 00:02:58,240 --> 00:03:01,519 Speaker 2: not organic revenue growth, which I think is pretty intuitive. 60 00:03:01,520 --> 00:03:03,960 Speaker 2: It's like, okay, here's the company. Forget about acquisitions and 61 00:03:04,000 --> 00:03:08,880 Speaker 2: all that, what's the actual interior revenue growth of the company. 62 00:03:09,040 --> 00:03:13,000 Speaker 2: And of course, Coca Cola with a blowout eleven percent statistic. 63 00:03:13,560 --> 00:03:18,720 Speaker 2: But one to start looking at is annual recurring revenue 64 00:03:18,880 --> 00:03:22,000 Speaker 2: aar R. Somebody had this out on Twitter. I'm sorry, 65 00:03:22,040 --> 00:03:23,640 Speaker 2: I can't cite them. I don't have it in front 66 00:03:23,680 --> 00:03:28,760 Speaker 2: of me. But aarr is really really interesting about what's 67 00:03:28,800 --> 00:03:32,560 Speaker 2: the belief in what a recurring revenue is at Google 68 00:03:33,480 --> 00:03:36,360 Speaker 2: or at Amazon, or what we'll see from Apple, where 69 00:03:36,360 --> 00:03:40,600 Speaker 2: there's a huge mystery about their recurring at revenue. That's 70 00:03:40,680 --> 00:03:44,080 Speaker 2: a phrase, excuse me, I'm fighting a plague. That's a 71 00:03:44,080 --> 00:03:46,680 Speaker 2: phrase that I think you really got to get used 72 00:03:46,680 --> 00:03:50,120 Speaker 2: to in a two thousand and twenty five. You also 73 00:03:50,160 --> 00:03:53,880 Speaker 2: get used to people with a venerable pass. Brian Whalen 74 00:03:54,480 --> 00:03:59,040 Speaker 2: is at TCW. They're a ginormous West Coast Byside institution, 75 00:03:59,240 --> 00:04:02,280 Speaker 2: lots of penchip, lots of institutional money. And he's in 76 00:04:02,360 --> 00:04:05,280 Speaker 2: fixed income. And what's important is he was in the 77 00:04:05,320 --> 00:04:10,480 Speaker 2: trenches at DLJ Donaldson, Lufkin, Jenarett, ages Ago, and so 78 00:04:10,560 --> 00:04:16,280 Speaker 2: he brings a huge knowledge base of fixed income dynamics. 79 00:04:16,640 --> 00:04:19,719 Speaker 2: And he's where I am, and where I am doesn't matter, 80 00:04:19,760 --> 00:04:23,520 Speaker 2: but it really matters if Ken Rogoff of Harvard's at 81 00:04:23,560 --> 00:04:26,159 Speaker 2: the same place. Ken Rogoff with David Wesson looked for 82 00:04:26,200 --> 00:04:29,880 Speaker 2: that on Wall Street Week and Professor Rogoff was adamant. 83 00:04:29,920 --> 00:04:36,120 Speaker 2: He's focused on the inflation adjusted yields plural and I 84 00:04:36,160 --> 00:04:38,719 Speaker 2: totally agree with this that what we really care about, 85 00:04:38,720 --> 00:04:43,320 Speaker 2: including Jerome Poal this afternoon, is an analysis of the 86 00:04:43,400 --> 00:04:47,080 Speaker 2: real yield. Brian Whalen of TCW on the. 87 00:04:47,000 --> 00:04:49,640 Speaker 1: Real yield, I think that's the knockout blow. I don't 88 00:04:49,640 --> 00:04:52,479 Speaker 1: think this two point seven. I don't think this market 89 00:04:52,480 --> 00:04:54,440 Speaker 1: could really even handle two point five. But if we 90 00:04:54,640 --> 00:04:56,800 Speaker 1: saw a jump up to like two point seven percent, 91 00:04:56,839 --> 00:04:58,880 Speaker 1: which is you know rates, last time we were at 92 00:04:58,880 --> 00:05:00,960 Speaker 1: these levels that kind of level and real interest rates 93 00:05:01,160 --> 00:05:04,719 Speaker 1: right before the financial crisis, clearly, you know, the economy, 94 00:05:04,760 --> 00:05:06,440 Speaker 1: the markets couldn't handle it. This time around, we do 95 00:05:06,560 --> 00:05:08,600 Speaker 1: the same thing, and then what would happen is that 96 00:05:08,880 --> 00:05:11,039 Speaker 1: if you get rates up that high, you're going to see, 97 00:05:11,080 --> 00:05:14,040 Speaker 1: you know, equity markets crater, and then you're going to 98 00:05:14,120 --> 00:05:16,720 Speaker 1: hit financial conditions. And what you're going to see is 99 00:05:16,720 --> 00:05:19,520 Speaker 1: a consumer who's already stressed and they're borrowing a lot 100 00:05:19,560 --> 00:05:22,000 Speaker 1: more than they used to. And yes, spending is high, 101 00:05:22,040 --> 00:05:24,440 Speaker 1: but they're doing it because of the wealth effects, because 102 00:05:24,480 --> 00:05:26,840 Speaker 1: they look at their equity market portfolio and they say, hey, 103 00:05:26,880 --> 00:05:29,480 Speaker 1: I feel I feel good. I've got more money than 104 00:05:29,520 --> 00:05:32,120 Speaker 1: I had last year. Once you see that drop on 105 00:05:32,160 --> 00:05:34,279 Speaker 1: your screen, you know, and you know on your broker 106 00:05:34,360 --> 00:05:36,560 Speaker 1: screen that changes, that'll be the end. 107 00:05:36,800 --> 00:05:39,440 Speaker 2: Let me translate this because that was a pro conversation 108 00:05:39,839 --> 00:05:43,760 Speaker 2: right now, the ten year inflation adjusted yield. There's different 109 00:05:43,800 --> 00:05:47,880 Speaker 2: measurements of this, there's different regimes you can use. Is 110 00:05:47,880 --> 00:05:51,360 Speaker 2: two point twenty seven percent? Not that long ago, we're 111 00:05:51,360 --> 00:05:53,320 Speaker 2: at one point nine something and it was like, are 112 00:05:53,320 --> 00:05:55,200 Speaker 2: you kidding me? We're going to go through two percent? 113 00:05:55,720 --> 00:05:57,839 Speaker 2: And we've gone up to two point two seven percent, 114 00:05:57,880 --> 00:06:01,800 Speaker 2: And mister Whaleen there's talking about not he's not predicting, 115 00:06:02,480 --> 00:06:04,520 Speaker 2: but he's saying, if you get a ten year real 116 00:06:04,640 --> 00:06:07,760 Speaker 2: yield to two point four two point five and I 117 00:06:07,839 --> 00:06:10,960 Speaker 2: believe he said two point seven percent, there you put 118 00:06:11,000 --> 00:06:15,279 Speaker 2: some real stress on the balance sheets of America, the 119 00:06:15,360 --> 00:06:19,960 Speaker 2: different individual the home and the corporate balance sheets as well. 120 00:06:20,240 --> 00:06:23,160 Speaker 2: We've gone a little along Today's single best idea or 121 00:06:23,200 --> 00:06:25,880 Speaker 2: out on Apple, car Play and Android all sorts of 122 00:06:25,920 --> 00:06:30,400 Speaker 2: new things, including a complete two hour, fifty six minute 123 00:06:30,839 --> 00:06:34,599 Speaker 2: epic replay of the show. Look for that three PMS 124 00:06:34,720 --> 00:06:38,719 Speaker 2: two thirty pmsh out on Bloomberg podcasts and of course 125 00:06:38,720 --> 00:06:42,240 Speaker 2: on YouTube. We're building it out. Search Bloomberg podcasts and 126 00:06:42,360 --> 00:06:47,800 Speaker 2: look for Bloomberg surveillance. There it is Kaiser and Whyland, 127 00:06:47,880 --> 00:06:56,640 Speaker 2: Kaiser and Whalan are single best idea 128 00:07:00,040 --> 00:07:00,520 Speaker 3: Wo