1 00:00:02,400 --> 00:00:15,680 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:13,200 --> 00:00:16,040 Speaker 2: A single best idea with a bonus today. We do 3 00:00:16,120 --> 00:00:18,640 Speaker 2: that on a Friday. We do that after an exhausting week. 4 00:00:18,960 --> 00:00:21,720 Speaker 2: Our team just a great set of guests. I think 5 00:00:21,760 --> 00:00:24,119 Speaker 2: not every day, but maybe two of the five days 6 00:00:24,160 --> 00:00:26,560 Speaker 2: this week we blew up the show not once, but twice, 7 00:00:27,040 --> 00:00:29,440 Speaker 2: just trying to keep up with the news flow. So 8 00:00:29,480 --> 00:00:31,040 Speaker 2: what we've got here, I'm gonna be as quick as 9 00:00:31,080 --> 00:00:33,040 Speaker 2: I can because we've got a bonus round at the end, 10 00:00:33,880 --> 00:00:36,320 Speaker 2: and that is the idea of the debate of the 11 00:00:36,360 --> 00:00:38,280 Speaker 2: Fed into the May one meeting. Michael McKee in the 12 00:00:38,320 --> 00:00:40,720 Speaker 2: front row at the FED meeting, we'll be doing the 13 00:00:40,720 --> 00:00:43,760 Speaker 2: Fed decides. Jonathan Fair, Lisa Bramwoitz, They let me darken 14 00:00:43,800 --> 00:00:46,519 Speaker 2: the door. That'll be fun, and we're gonna do that 15 00:00:46,600 --> 00:00:49,000 Speaker 2: on May one. But what we framed out this week 16 00:00:49,080 --> 00:00:53,240 Speaker 2: is a massive debate over should they raise rates, which 17 00:00:53,280 --> 00:00:56,480 Speaker 2: is an outlier lonely debate. Lindsay pigs on the other 18 00:00:56,560 --> 00:00:59,720 Speaker 2: day with single best idea or a lot of people 19 00:00:59,760 --> 00:01:04,520 Speaker 2: say saying, what are you waiting for? Cut rates? Franz 20 00:01:04,600 --> 00:01:08,760 Speaker 2: Latron was iconic at bear Stearn's wonderful career Tran Macro 21 00:01:08,880 --> 00:01:12,679 Speaker 2: Research and here is Francois Tron on the job market 22 00:01:12,920 --> 00:01:14,360 Speaker 2: in a Powell behind. 23 00:01:14,560 --> 00:01:17,520 Speaker 3: If you want it to be forward looking, you should. 24 00:01:17,959 --> 00:01:21,600 Speaker 3: You know, historically the trigger for the FED when inflation 25 00:01:21,760 --> 00:01:23,440 Speaker 3: is not an issue, and it hasn't been in almost 26 00:01:23,440 --> 00:01:25,880 Speaker 3: forty years, you know, is to look at the labor 27 00:01:25,880 --> 00:01:29,240 Speaker 3: market stats. I would say most leading indicators of employment 28 00:01:29,440 --> 00:01:32,200 Speaker 3: have turned at this point, and so telling you that 29 00:01:32,240 --> 00:01:33,640 Speaker 3: as you get into the second half of the year 30 00:01:33,720 --> 00:01:37,199 Speaker 3: the unemployment rate starts to take higher. I think that's 31 00:01:37,400 --> 00:01:39,800 Speaker 3: really going to put the FED to the test. 32 00:01:40,160 --> 00:01:43,000 Speaker 2: Just fascinating. Thank you to Lindsay Pigs against Steve Will 33 00:01:43,000 --> 00:01:45,760 Speaker 2: go in the other way. Look for that Apple podcast. 34 00:01:45,800 --> 00:01:48,040 Speaker 2: You can go back and look at our previous days 35 00:01:48,440 --> 00:01:50,800 Speaker 2: and it's like two minutes with Lindsay Pigs and it's 36 00:01:50,840 --> 00:01:53,840 Speaker 2: just brilliant where she's saying, look, they're not going to 37 00:01:53,920 --> 00:01:57,440 Speaker 2: do it, but they should. Race rates boys are different 38 00:01:57,880 --> 00:02:00,400 Speaker 2: from what we've heard from Francois Tron. You can hear 39 00:02:00,440 --> 00:02:02,240 Speaker 2: me on the tape. I'm gasping, I'm fighting it cold. 40 00:02:02,240 --> 00:02:04,320 Speaker 2: What can I say? There's like a fraud. It's the 41 00:02:04,400 --> 00:02:07,480 Speaker 2: end of April and there's a frost alert in New 42 00:02:07,520 --> 00:02:10,000 Speaker 2: York City last night, and I'm like, I'm waiting for spring. 43 00:02:10,280 --> 00:02:12,720 Speaker 2: It's out there, somewhere there. 44 00:02:12,760 --> 00:02:13,160 Speaker 4: It is the. 45 00:02:13,080 --> 00:02:18,440 Speaker 2: Obligatory cough, the obligatory focus this Sunday will be on Monday. 46 00:02:18,560 --> 00:02:23,440 Speaker 2: In Japan, it's unraveling. I don't want to get inflammatory, 47 00:02:23,960 --> 00:02:26,520 Speaker 2: but if you look at two standard deviations, you look 48 00:02:26,520 --> 00:02:30,480 Speaker 2: at the second derivative of dollar yen, which is the 49 00:02:30,520 --> 00:02:33,280 Speaker 2: major pair we look at, or you look at euro 50 00:02:33,480 --> 00:02:38,200 Speaker 2: yen somewhat secondary. And particularly if you look at yen 51 00:02:38,360 --> 00:02:43,480 Speaker 2: as compared to Pacific rim yen, sing dollar yang Philippines, 52 00:02:43,720 --> 00:02:48,679 Speaker 2: and of course particularly yen Chinese yuan, we are at 53 00:02:48,840 --> 00:02:53,120 Speaker 2: a stunning move of yen weakness off of and I'll 54 00:02:53,240 --> 00:02:57,919 Speaker 2: editorialize and say a failed Bank of Japan mof policy. 55 00:02:57,960 --> 00:03:00,720 Speaker 2: It'll be fascinating to see where this goes. You need 56 00:03:00,840 --> 00:03:04,440 Speaker 2: smart conversation from Rabobank Jane Foley. 57 00:03:04,639 --> 00:03:06,200 Speaker 4: Many people have said, well, look, you know this was 58 00:03:06,240 --> 00:03:08,679 Speaker 4: a Duvish Central Back meeting. I don't think that's right. 59 00:03:08,720 --> 00:03:11,280 Speaker 4: I don't think it was Duvish. For instance, we had 60 00:03:11,280 --> 00:03:13,680 Speaker 4: a statement in there suggesting that in the second half 61 00:03:13,760 --> 00:03:19,600 Speaker 4: of their forecast projection period, underlying inflation would be at 62 00:03:19,720 --> 00:03:21,920 Speaker 4: where they want it to be at two percent. That's 63 00:03:21,960 --> 00:03:25,520 Speaker 4: been the holy grail for decades. So we are achieving 64 00:03:25,680 --> 00:03:27,720 Speaker 4: or we are beginning to see what they wanted to see, 65 00:03:27,760 --> 00:03:30,480 Speaker 4: which is, you know, inflation coming back to where they 66 00:03:30,520 --> 00:03:33,800 Speaker 4: want it to be. That's fantastic for Japan. The problem 67 00:03:33,960 --> 00:03:36,920 Speaker 4: is it's has been a slow process and they certainly 68 00:03:36,960 --> 00:03:39,440 Speaker 4: don't want to hike too fars and put themselves back 69 00:03:39,440 --> 00:03:42,360 Speaker 4: at square one with inflation just being too low. And 70 00:03:42,400 --> 00:03:45,760 Speaker 4: this is the difficulty. It just wasn't hawkish enough for 71 00:03:45,840 --> 00:03:46,360 Speaker 4: the market. 72 00:03:46,880 --> 00:03:51,080 Speaker 2: Just a clinic from Jane Foley. It was on coordinated 73 00:03:51,200 --> 00:03:54,600 Speaker 2: versus non coordinated intervention. I don't think anybody sees a 74 00:03:54,640 --> 00:03:58,360 Speaker 2: coordinated effort here, which is usually more efficacious. And also 75 00:03:58,520 --> 00:04:03,720 Speaker 2: this it's a little inside baseball sterilized versus unsterilized intervention. 76 00:04:03,840 --> 00:04:07,640 Speaker 2: And she alluded to the idea of how lonely Japan 77 00:04:07,880 --> 00:04:10,320 Speaker 2: is is they make these decisions. And of course the 78 00:04:10,400 --> 00:04:13,840 Speaker 2: gift would be to see the FED moderate and bring 79 00:04:13,920 --> 00:04:17,880 Speaker 2: American interest rates down, and that would assist Japan. But 80 00:04:17,960 --> 00:04:19,599 Speaker 2: who says we're gonna do that. I mean, that's not 81 00:04:19,680 --> 00:04:23,680 Speaker 2: the way the program goes an audible. We do that 82 00:04:23,720 --> 00:04:26,720 Speaker 2: on single best idea. We particularly do it when we 83 00:04:26,800 --> 00:04:32,039 Speaker 2: get the message from Catherine Greifeld Greefeld she's out in 84 00:04:32,080 --> 00:04:32,960 Speaker 2: the woods somewhere. 85 00:04:33,040 --> 00:04:33,400 Speaker 3: I don't know. 86 00:04:33,480 --> 00:04:36,560 Speaker 2: She's on a horse. Of course, maybe she's on Central Park. 87 00:04:36,600 --> 00:04:40,520 Speaker 2: She's like doing the horses around Central Park something like that. Anyways, 88 00:04:40,560 --> 00:04:44,080 Speaker 2: Katy Greefeld emails in and says, Tom, you fool. Nick 89 00:04:44,160 --> 00:04:48,160 Speaker 2: Coelis is from Haverford. So we've got Nick Colison, who's 90 00:04:48,200 --> 00:04:52,080 Speaker 2: like world class global and he's got like an Eastern 91 00:04:52,200 --> 00:04:57,000 Speaker 2: anthropology degree from Haverford. He we're birkenstocks before they remember 92 00:04:57,040 --> 00:05:00,200 Speaker 2: the clogs of wooden clogs with a little cloth. That's 93 00:05:00,240 --> 00:05:03,000 Speaker 2: what Nicholas used to wear at Haverford. And you know, 94 00:05:03,120 --> 00:05:05,080 Speaker 2: this is the time of year parents are having a 95 00:05:05,120 --> 00:05:07,960 Speaker 2: total complete cow over. You have to do a STEM 96 00:05:08,040 --> 00:05:11,840 Speaker 2: program or all that. How about just liberal arts. Here 97 00:05:12,000 --> 00:05:16,800 Speaker 2: is Nick Colis of Katie Greifeld's Haverford on the very 98 00:05:16,920 --> 00:05:18,240 Speaker 2: liberal arts. 99 00:05:18,279 --> 00:05:20,200 Speaker 1: Nothing wrong with stam let's just put that out there 100 00:05:20,279 --> 00:05:24,080 Speaker 1: right now. But liberal arts majors force you to learn 101 00:05:24,120 --> 00:05:25,919 Speaker 1: how to do two things. The first one is you 102 00:05:26,000 --> 00:05:27,960 Speaker 1: learn how to write. You learn how to put your 103 00:05:27,960 --> 00:05:30,719 Speaker 1: thoughts down on paper. In a way that's organized so 104 00:05:30,760 --> 00:05:33,279 Speaker 1: that other people can read it and understand what you're saying. 105 00:05:33,560 --> 00:05:35,680 Speaker 1: And then secondly, it gives you a real appreciation for 106 00:05:35,720 --> 00:05:38,719 Speaker 1: the scope of the human experience, whether that be in 107 00:05:38,839 --> 00:05:42,719 Speaker 1: history or philosophy, in any of those disciplines, it gives 108 00:05:42,760 --> 00:05:45,560 Speaker 1: you a much wider scope and understanding of what it 109 00:05:45,640 --> 00:05:47,880 Speaker 1: is to be human, and that's why they call it humanities. 110 00:05:48,520 --> 00:05:52,800 Speaker 2: I happen to agree, Nick Colis of Haverford There. Thank you, 111 00:05:53,240 --> 00:05:58,000 Speaker 2: Katie Greifield for that wonderful suggestion. It's been in a 112 00:05:58,440 --> 00:06:00,880 Speaker 2: stunning week by the team. Other way to put it 113 00:06:01,240 --> 00:06:03,800 Speaker 2: odd on Apple CarPlay, on Android play as well on 114 00:06:03,920 --> 00:06:07,919 Speaker 2: YouTube search, Bloomberg Podcast, and on Monday I'll have a 115 00:06:08,000 --> 00:06:11,480 Speaker 2: special announcement about what we're doing on YouTube. This is 116 00:06:11,600 --> 00:06:16,719 Speaker 2: single best idea.