1 00:00:02,400 --> 00:00:15,520 Speaker 1: Bloomberg Audio Studios, podcasts, radio news, single best idea out 2 00:00:15,560 --> 00:00:19,599 Speaker 1: on YouTube, podcasts, on Apple podcasts, forty seven other places 3 00:00:19,600 --> 00:00:22,440 Speaker 1: I can't remember as well. We say to you, thank you. 4 00:00:22,960 --> 00:00:25,079 Speaker 1: I know you're listening to podcasts like The Big Take. 5 00:00:25,239 --> 00:00:29,200 Speaker 1: David Gura recently really strong in our politics as conversation 6 00:00:30,440 --> 00:00:33,320 Speaker 1: with different politicians. Janet Yellen I thought was the Secretary 7 00:00:33,320 --> 00:00:37,000 Speaker 1: of Treasury was just really prescient. But you know The 8 00:00:37,000 --> 00:00:39,479 Speaker 1: Big Take twenty minute podcast. We try to slip it 9 00:00:39,520 --> 00:00:42,479 Speaker 1: in with a five or six minute jewel for you 10 00:00:43,240 --> 00:00:47,240 Speaker 1: of conversation. Steve Eisman darkening the door today. You knew 11 00:00:47,280 --> 00:00:49,960 Speaker 1: him in The Big Short. Actually quoted a thing on 12 00:00:49,960 --> 00:00:53,080 Speaker 1: The Big Short on the banks. Iiceman said, the banks, Well, 13 00:00:53,159 --> 00:00:56,120 Speaker 1: it's better, but that's not where he is. He's focused 14 00:00:56,160 --> 00:01:02,040 Speaker 1: on broad themes of artificial intelligence, technology, an infrastructure. That's 15 00:01:02,080 --> 00:01:05,039 Speaker 1: where Steve Eisman is right now. We were focused on 16 00:01:05,080 --> 00:01:07,920 Speaker 1: the FED yesterday, thanks for the huge response to the 17 00:01:07,920 --> 00:01:12,720 Speaker 1: Fed decides really really extraordinary with no market reaction, and 18 00:01:12,760 --> 00:01:15,360 Speaker 1: then this morning boom up we go with a bid 19 00:01:15,400 --> 00:01:18,480 Speaker 1: to the market. To say the least. Jim Karen joined 20 00:01:18,480 --> 00:01:21,479 Speaker 1: from Morgan Stanley talk to him about all sorts of things, 21 00:01:21,480 --> 00:01:26,120 Speaker 1: including the boade and observatory. Here Jim caern On, Debt, 22 00:01:26,520 --> 00:01:27,160 Speaker 1: and Powell. 23 00:01:27,520 --> 00:01:29,880 Speaker 2: My view is is that if we are in an 24 00:01:29,959 --> 00:01:32,759 Speaker 2: inflationary environment, and I still believe that we are in one, 25 00:01:32,880 --> 00:01:36,120 Speaker 2: is inflation stable for now, then that means that the 26 00:01:36,160 --> 00:01:39,640 Speaker 2: FED does not have a free shot at just cutting 27 00:01:39,720 --> 00:01:43,120 Speaker 2: interest rates as aggressively without inflation picking up. And so 28 00:01:43,240 --> 00:01:46,319 Speaker 2: my suspicion here again, this is a suspicion one of 29 00:01:46,319 --> 00:01:49,160 Speaker 2: the things that triggered the FED to move as aggressively 30 00:01:49,200 --> 00:01:52,880 Speaker 2: as they did is that they may may think that 31 00:01:52,920 --> 00:01:55,400 Speaker 2: the employment situation is worse than what the data is 32 00:01:55,400 --> 00:01:57,680 Speaker 2: actually telling us, and that they do need to move 33 00:01:57,760 --> 00:01:59,720 Speaker 2: quickly today. So this goes back to the thought that 34 00:01:59,760 --> 00:02:01,639 Speaker 2: if they go fifty, what are they telling the markets? 35 00:02:01,680 --> 00:02:04,240 Speaker 2: Should we be nervous. I'm a little concerned here, and 36 00:02:04,360 --> 00:02:05,920 Speaker 2: I want to be very clear about that. I want 37 00:02:05,920 --> 00:02:08,640 Speaker 2: to admit that that I think the unemployment rate is 38 00:02:08,840 --> 00:02:12,679 Speaker 2: probably really higher than what is actually being forecasted in 39 00:02:12,720 --> 00:02:13,120 Speaker 2: the data. 40 00:02:13,480 --> 00:02:16,680 Speaker 1: Boy, do we have fun with this. Jim Caron is 41 00:02:16,800 --> 00:02:23,360 Speaker 1: prodigious in legitimate physics, mathematics, and astronomy out of Boden 42 00:02:23,400 --> 00:02:25,919 Speaker 1: and Caltech and I'm not going to take a lot 43 00:02:25,960 --> 00:02:28,480 Speaker 1: of time here, but we took it over to the 44 00:02:28,560 --> 00:02:32,480 Speaker 1: geometric space. And you remember a Cartesian chart you made 45 00:02:32,520 --> 00:02:36,639 Speaker 1: in school of a y axis and the x axis. Well, 46 00:02:36,639 --> 00:02:38,919 Speaker 1: think about an axis coming out of the page that's 47 00:02:38,960 --> 00:02:41,720 Speaker 1: a z axis, and that gets you into a thing 48 00:02:41,760 --> 00:02:46,000 Speaker 1: called spherical geometry. And if you have three ideas, as 49 00:02:46,080 --> 00:02:50,400 Speaker 1: mister Karen talks about there, the one he's looking at 50 00:02:50,480 --> 00:02:53,560 Speaker 1: is the mystery is the labor economy. And of all 51 00:02:53,560 --> 00:02:57,920 Speaker 1: our conversations today, that's sent it around to the October 52 00:02:58,240 --> 00:03:03,320 Speaker 1: labor report. Week of November, Anna Wong was brilliant on that. 53 00:03:03,639 --> 00:03:08,440 Speaker 1: To continue Jim Caron here again is he looks forward 54 00:03:08,919 --> 00:03:09,480 Speaker 1: in the FED. 55 00:03:09,800 --> 00:03:12,880 Speaker 2: This is positive for risky assets and credit spreads. Just 56 00:03:13,040 --> 00:03:16,160 Speaker 2: broadly speaking, Powell is basically saying that he is going 57 00:03:16,200 --> 00:03:18,880 Speaker 2: to stand behind and support this market. If we look 58 00:03:18,919 --> 00:03:22,680 Speaker 2: at default rates, default rates have been coming down, specifically, 59 00:03:22,720 --> 00:03:25,600 Speaker 2: Tom default rates have been coming down even in the 60 00:03:25,600 --> 00:03:28,200 Speaker 2: triple C space, So even in the part of the 61 00:03:28,240 --> 00:03:30,480 Speaker 2: credit market that people are worried about the most, so 62 00:03:30,560 --> 00:03:34,239 Speaker 2: the lower credit echelons, triple c's, those spreads have actually 63 00:03:34,240 --> 00:03:37,320 Speaker 2: started to come in as as well. Now, if that 64 00:03:37,480 --> 00:03:39,840 Speaker 2: starts to happen. Then what you're going to see is 65 00:03:39,880 --> 00:03:43,080 Speaker 2: a decline in the overall yield for high yield, and 66 00:03:43,120 --> 00:03:46,200 Speaker 2: it makes it a very positive setup for these assets. 67 00:03:46,200 --> 00:03:47,800 Speaker 2: And let's not just talk about high yield. We can 68 00:03:47,840 --> 00:03:50,320 Speaker 2: also talk about private credit, private assets, all of these 69 00:03:50,360 --> 00:03:54,280 Speaker 2: other things all are competing with each other for returns. 70 00:03:54,360 --> 00:03:57,080 Speaker 2: So as these bond yields and these credit spreads start 71 00:03:57,120 --> 00:04:01,240 Speaker 2: to come in, money is going to start to follow it. 72 00:04:01,280 --> 00:04:03,400 Speaker 2: And I think this becomes positive not just for bonds, 73 00:04:03,400 --> 00:04:04,320 Speaker 2: but also frequities. 74 00:04:04,680 --> 00:04:07,240 Speaker 1: Jim Caeren generous half hore with us today. He is 75 00:04:07,280 --> 00:04:11,440 Speaker 1: with Morgan Stanley. One of the things we've done right 76 00:04:11,480 --> 00:04:14,880 Speaker 1: from the beginning. And I don't I can honestly say, folks, 77 00:04:15,480 --> 00:04:17,320 Speaker 1: I don't know where this started. I think it just 78 00:04:17,360 --> 00:04:20,839 Speaker 1: started out of my curiosity. That's a curiosity is an 79 00:04:20,880 --> 00:04:24,080 Speaker 1: important word from Matt Winkler, who is the founder of 80 00:04:24,120 --> 00:04:28,240 Speaker 1: Bloomberg News, founding anitor in chief and now at chief Emeritis. 81 00:04:28,800 --> 00:04:32,440 Speaker 1: But the curiosity of who are these people and what 82 00:04:32,440 --> 00:04:34,599 Speaker 1: were there like. We talked to Anna Wong today about 83 00:04:34,600 --> 00:04:38,560 Speaker 1: her first moment at Berkeley with a giant Barry Keen 84 00:04:38,640 --> 00:04:42,320 Speaker 1: Green of International Economics, well we talked to you know, 85 00:04:42,400 --> 00:04:46,240 Speaker 1: Joe Davis shows up from Vanguard, always interesting looking at 86 00:04:46,279 --> 00:04:50,600 Speaker 1: really twisted things for the giant of index funds. And 87 00:04:50,720 --> 00:04:53,200 Speaker 1: you know what you got to ask Joe Davis is simple, 88 00:04:53,839 --> 00:04:57,040 Speaker 1: how scared were you? Were you sitting in the chair 89 00:04:57,680 --> 00:04:58,920 Speaker 1: with John Bogel The. 90 00:04:58,839 --> 00:05:00,840 Speaker 3: First question he asked me first day on the job, 91 00:05:00,880 --> 00:05:05,240 Speaker 3: because Joe, you need to help me help investors have 92 00:05:05,360 --> 00:05:08,560 Speaker 3: a coj and framework for where we're long term earnings growth, pe, 93 00:05:08,920 --> 00:05:12,120 Speaker 3: dividends and what drives interest rates? Right, and so he 94 00:05:12,200 --> 00:05:14,880 Speaker 3: you know, and Tom as you well know, we are 95 00:05:15,160 --> 00:05:18,760 Speaker 3: very large active fixed income managers. So our cyclical assessment 96 00:05:18,800 --> 00:05:21,560 Speaker 3: of risky economy matter a lot. But I think it's 97 00:05:21,560 --> 00:05:23,680 Speaker 3: really that long term. How do I think about debt, 98 00:05:23,720 --> 00:05:26,240 Speaker 3: how do I think about AI? What if any what 99 00:05:26,360 --> 00:05:29,000 Speaker 3: that means for corporate earnings in the portfolios we have 100 00:05:29,000 --> 00:05:31,400 Speaker 3: to assemble for clients. So that's that's why I've been 101 00:05:31,400 --> 00:05:34,760 Speaker 3: there for twenty years. And you know economists sometimes don't 102 00:05:34,760 --> 00:05:37,679 Speaker 3: always last that long, but that's really been the big reason. 103 00:05:37,640 --> 00:05:39,640 Speaker 3: And our group has grown and we have a seventy 104 00:05:39,640 --> 00:05:41,560 Speaker 3: five person research organization of Anger. 105 00:05:41,839 --> 00:05:45,200 Speaker 1: Joe Davis at Vanguard is sidecar right now, is he's 106 00:05:45,360 --> 00:05:52,600 Speaker 1: really really studying how much of artificial intelligence will be benefit, 107 00:05:53,160 --> 00:05:58,040 Speaker 1: will have impact on society looking at five and ten years. 108 00:05:58,080 --> 00:06:02,080 Speaker 1: Just an extraordinary day here after the FED need to 109 00:06:02,120 --> 00:06:04,880 Speaker 1: say thank you, to tell you and all of our 110 00:06:05,000 --> 00:06:08,240 Speaker 1: the FED decides meeting and also of course what we're 111 00:06:08,279 --> 00:06:11,960 Speaker 1: driving in the conversation each in every morning. I'm Bloomberg 112 00:06:12,600 --> 00:06:17,359 Speaker 1: Surveillance again. Out on YouTube record audience yesterday. Thank you 113 00:06:17,440 --> 00:06:21,600 Speaker 1: for that. Humbled by the numbers. Subscribe to Bloomberg podcast. 114 00:06:21,680 --> 00:06:24,719 Speaker 1: Tell your dog to subscribe to Bloomberg podcast. That's the 115 00:06:24,720 --> 00:06:28,440 Speaker 1: only reason we exist. Out on YouTube, Android, Auto, Apple 116 00:06:28,480 --> 00:06:31,719 Speaker 1: car play serious X. I got yelled at because I 117 00:06:31,760 --> 00:06:35,800 Speaker 1: didn't mention serious X. I'm really a seminal distribution for us. 118 00:06:35,839 --> 00:06:39,120 Speaker 1: Good morning across the corridor from Washington to New York 119 00:06:39,800 --> 00:06:44,320 Speaker 1: to ninety two nine FM in Boston. On YouTube podcasts, 120 00:06:44,440 --> 00:07:00,080 Speaker 1: on Apple podcasts, Single Best Idea w