1 00:00:02,640 --> 00:00:05,320 Speaker 1: Welcome to the Bloomberg Penl Podcast. I'm Paul swing you. 2 00:00:05,360 --> 00:00:07,760 Speaker 1: Along with my co host Lisa Brahmas. Each day we 3 00:00:07,880 --> 00:00:10,399 Speaker 1: bring you the most noteworthy and useful interviews for you 4 00:00:10,520 --> 00:00:12,600 Speaker 1: and your money. Whether at the grocery store or the 5 00:00:12,640 --> 00:00:15,920 Speaker 1: trading floor. Find a Bloomberg Penl podcast on Apple podcast 6 00:00:16,120 --> 00:00:18,040 Speaker 1: or wherever you listen to podcasts, as well as at 7 00:00:18,040 --> 00:00:22,600 Speaker 1: Bloomberg dot com. Contentions just keep rising between the US 8 00:00:22,720 --> 00:00:25,840 Speaker 1: and China. The latest the US is moving to curtail 9 00:00:25,920 --> 00:00:29,080 Speaker 1: Huahwei Technologies chips supply. This is part of what's been 10 00:00:29,560 --> 00:00:33,080 Speaker 1: driving down semiconductors shares. But this just builds on a 11 00:00:33,120 --> 00:00:35,720 Speaker 1: whole host of rhetoric coming out of Washington as well 12 00:00:35,760 --> 00:00:39,000 Speaker 1: as Beijing back and forth, raising the question what's the 13 00:00:39,120 --> 00:00:41,800 Speaker 1: end game? Here? Are we entering a new Cold War? 14 00:00:42,000 --> 00:00:45,520 Speaker 1: Leland Miller joining US now chief executive officer of China 15 00:00:45,600 --> 00:00:49,400 Speaker 1: beige Book International. Leland, what do you make of this 16 00:00:49,520 --> 00:00:54,160 Speaker 1: back and forth in the latest move against Huahwei. Well, 17 00:00:54,200 --> 00:00:57,280 Speaker 1: I think the move itself is quite misunderstood, and for 18 00:00:57,320 --> 00:00:59,920 Speaker 1: good reason. I mean, almost nobody can figure out what's happening. 19 00:01:00,400 --> 00:01:01,760 Speaker 1: But I think the best way to look at it 20 00:01:01,760 --> 00:01:05,280 Speaker 1: is the United States has extraordinary leverage over the Taiwan 21 00:01:05,280 --> 00:01:09,000 Speaker 1: semi conductor because it provides inputs that are important for production, 22 00:01:09,080 --> 00:01:13,640 Speaker 1: and it is the largest UH purchaser of of semi conductors, 23 00:01:13,640 --> 00:01:18,280 Speaker 1: and so it's extraordinarily important UH customer. And what the 24 00:01:18,319 --> 00:01:22,440 Speaker 1: United States government has said it will do, starting supposedly 25 00:01:22,560 --> 00:01:28,840 Speaker 1: today is require any UH any relationships with Huawei to 26 00:01:29,160 --> 00:01:31,119 Speaker 1: get a license. So in order you can't just sell 27 00:01:31,120 --> 00:01:34,280 Speaker 1: them to Huawei, if you're using US technology in your 28 00:01:34,520 --> 00:01:36,600 Speaker 1: in your product, you have to actually apply for a 29 00:01:36,640 --> 00:01:39,040 Speaker 1: license with the Department of Commerce. Now, if this is 30 00:01:39,080 --> 00:01:41,200 Speaker 1: held to that standard and they don't grant the license, 31 00:01:41,440 --> 00:01:44,480 Speaker 1: then this is an enormously powerful mood. If they do 32 00:01:44,560 --> 00:01:47,080 Speaker 1: grant the licenses, then this is an empty moot. So 33 00:01:47,480 --> 00:01:50,360 Speaker 1: it's less about what this has done and how it's 34 00:01:50,600 --> 00:01:52,160 Speaker 1: how they're going to treat this in the future. And 35 00:01:52,200 --> 00:01:54,720 Speaker 1: I think that's why this has led to an extraordinary 36 00:01:54,760 --> 00:01:59,680 Speaker 1: amount of confusion. So Leland, how does China view I 37 00:01:59,720 --> 00:02:03,240 Speaker 1: guess we'll call them renewed trade tensions here? What's kind 38 00:02:03,280 --> 00:02:06,440 Speaker 1: of their perspective? Do you think? I think that they're 39 00:02:06,440 --> 00:02:08,960 Speaker 1: looking at them on several several different levels. Now you 40 00:02:09,000 --> 00:02:11,720 Speaker 1: have some things that are happening. Uh, you know, the 41 00:02:12,120 --> 00:02:14,600 Speaker 1: Phase one trade deal is in real trouble. It's it'll 42 00:02:14,639 --> 00:02:17,760 Speaker 1: be toast by this by September. I think I think 43 00:02:17,840 --> 00:02:19,720 Speaker 1: we were were at the very end of the trade 44 00:02:19,720 --> 00:02:22,280 Speaker 1: deal talk. On the other hand, you have some very big, 45 00:02:22,440 --> 00:02:26,160 Speaker 1: very aggressive moves being talked about, like abrogating US debt obligations, 46 00:02:26,560 --> 00:02:29,959 Speaker 1: ripping away sovereign immunities from the Chinese. These aren't serious moves, 47 00:02:30,639 --> 00:02:32,760 Speaker 1: but if they move, you know, if the White House 48 00:02:32,760 --> 00:02:35,080 Speaker 1: moved in this direction, that there would be severe repercussions. 49 00:02:35,120 --> 00:02:36,720 Speaker 1: And then there's certain things where they're just trying to 50 00:02:36,800 --> 00:02:39,840 Speaker 1: digest these moves piece by piece. What's happening to Huawei, 51 00:02:39,880 --> 00:02:42,240 Speaker 1: what's happening with the government pension fund cutting off flows 52 00:02:42,240 --> 00:02:44,880 Speaker 1: to China. So there's so much going on that I 53 00:02:44,919 --> 00:02:46,960 Speaker 1: think that the Chinese government is forced to look at 54 00:02:46,960 --> 00:02:49,760 Speaker 1: this as what's important, what can we live with and 55 00:02:49,800 --> 00:02:52,000 Speaker 1: what is an absolute deal breaker in the relationship where 56 00:02:52,040 --> 00:02:56,600 Speaker 1: we're gonna start having real serious retribution. What's the end goal? 57 00:02:56,919 --> 00:03:00,000 Speaker 1: I mean, I'm just extrapolating forward. Is there a red line? 58 00:03:00,000 --> 00:03:04,000 Speaker 1: And then once we cross that, we move to Phase X, 59 00:03:04,240 --> 00:03:06,639 Speaker 1: where why happens is there something like that that you're 60 00:03:06,680 --> 00:03:11,160 Speaker 1: sort of foreseeing, not yet, because everybody understands it's so 61 00:03:11,240 --> 00:03:12,640 Speaker 1: much of what's going on in the U. S side 62 00:03:12,680 --> 00:03:15,920 Speaker 1: is about the election. So President Trump realizes that there 63 00:03:15,960 --> 00:03:19,160 Speaker 1: are domestic difficulties with COVID and and the state of 64 00:03:19,200 --> 00:03:22,440 Speaker 1: the economy right now, and the safest the platform is 65 00:03:22,480 --> 00:03:24,720 Speaker 1: it to go tough, tough, tough on China. So the 66 00:03:24,800 --> 00:03:28,440 Speaker 1: Chinese understand that what they want to see is how 67 00:03:28,520 --> 00:03:29,920 Speaker 1: much of this is going to be more than a 68 00:03:29,919 --> 00:03:31,840 Speaker 1: couple of months, how much of this is actually a 69 00:03:31,840 --> 00:03:35,560 Speaker 1: game changer in the relationship. If Phase one is suspended 70 00:03:35,680 --> 00:03:39,000 Speaker 1: by September, which is our expectation, then that doesn't mean 71 00:03:39,000 --> 00:03:40,880 Speaker 1: they can't pick it up in January. If if President 72 00:03:40,880 --> 00:03:43,640 Speaker 1: Trump's reelected, that's not going to ruffle the waters too much. 73 00:03:43,640 --> 00:03:45,920 Speaker 1: Although you get some loud talk if you ever saw 74 00:03:46,040 --> 00:03:50,000 Speaker 1: serious movement towards ripping sovereign immunity away from from from 75 00:03:50,040 --> 00:03:53,000 Speaker 1: Beijing for for COVID related lawsuits, I mean that would 76 00:03:53,120 --> 00:03:55,440 Speaker 1: that would that would create financial warfare on a scale 77 00:03:55,440 --> 00:03:57,880 Speaker 1: we've never seen. So they're just taking their time to 78 00:03:57,960 --> 00:04:01,400 Speaker 1: understand if they get most of this is empty rhetoric 79 00:04:01,440 --> 00:04:03,119 Speaker 1: and they're just trying to make sure that they don't 80 00:04:03,120 --> 00:04:05,680 Speaker 1: overreact as as this stuff just played out before the election. 81 00:04:06,520 --> 00:04:09,920 Speaker 1: How is President Trump's relationship with presidency of China. I 82 00:04:09,920 --> 00:04:13,240 Speaker 1: mean President Trump has touted it as very strong and 83 00:04:13,280 --> 00:04:17,839 Speaker 1: a you know, really strong relationship. But how how would 84 00:04:17,839 --> 00:04:19,560 Speaker 1: you engage that right now? How important is it to 85 00:04:19,600 --> 00:04:25,960 Speaker 1: have a good relationship? I mean they're best friend. Uh look, look, 86 00:04:25,960 --> 00:04:28,160 Speaker 1: if if President Trump is being nice to China, I 87 00:04:28,200 --> 00:04:30,040 Speaker 1: think they get along quite well. If he's not, then 88 00:04:30,080 --> 00:04:33,640 Speaker 1: and you know, the relationships allergic. You know, for she 89 00:04:33,880 --> 00:04:36,480 Speaker 1: it's it's the same same for Trump. So you know, 90 00:04:36,720 --> 00:04:38,440 Speaker 1: it's an extent that they can get on the phone 91 00:04:38,440 --> 00:04:41,120 Speaker 1: and they do have a some semblance of a personal 92 00:04:41,160 --> 00:04:44,760 Speaker 1: relationship to diffuse tensions if they want to pull that 93 00:04:44,920 --> 00:04:47,520 Speaker 1: escape patch. I think there's something to that. But look, 94 00:04:47,680 --> 00:04:50,640 Speaker 1: this is just politics. It's domestic politics right now, where 95 00:04:50,640 --> 00:04:54,720 Speaker 1: the party tries to uh, you know, confuse people about 96 00:04:55,120 --> 00:04:57,960 Speaker 1: their initial reaction to to COVID and and claim that 97 00:04:57,960 --> 00:04:59,640 Speaker 1: they've been doing a good job all around that the 98 00:04:59,680 --> 00:05:02,040 Speaker 1: admitt austration in the United States has the same sort 99 00:05:02,040 --> 00:05:03,960 Speaker 1: of issue. How can we distract from COVID and go 100 00:05:04,040 --> 00:05:06,799 Speaker 1: tough on the Chinese. So a lot of this again 101 00:05:07,240 --> 00:05:10,560 Speaker 1: politics empty writer, We still need to see what it's 102 00:05:10,560 --> 00:05:14,039 Speaker 1: going to be durable past the election, regardless of whose president. 103 00:05:14,600 --> 00:05:16,680 Speaker 1: When you talk about Jim Ping, I wonder how much 104 00:05:16,760 --> 00:05:19,839 Speaker 1: his power is being challenged, especially given the data that 105 00:05:19,880 --> 00:05:23,160 Speaker 1: we got overnight. Yes, we got factory output surging more 106 00:05:23,200 --> 00:05:27,000 Speaker 1: than people expected in China, but the services data real bleak, 107 00:05:27,160 --> 00:05:30,240 Speaker 1: not coming back that quickly. What do you foresee economically 108 00:05:30,360 --> 00:05:33,600 Speaker 1: for the China for the foreseeable future? Yeah, I mean 109 00:05:33,680 --> 00:05:35,640 Speaker 1: that that doesn't surprise us at all that the Chinese 110 00:05:35,680 --> 00:05:38,200 Speaker 1: want to turn these factories on and start cranking things out. 111 00:05:38,440 --> 00:05:41,080 Speaker 1: The problem is their order books are collapsing because there's 112 00:05:41,120 --> 00:05:43,720 Speaker 1: not a lot of strength. And domestic economy it's recovering, 113 00:05:43,760 --> 00:05:46,120 Speaker 1: but but at a slow pace. And you know, the 114 00:05:46,160 --> 00:05:48,880 Speaker 1: external environments falling apart because of the slowdowns. Are the 115 00:05:48,920 --> 00:05:53,080 Speaker 1: shutdowns in your US and Europe and elsewhere. So there's 116 00:05:53,120 --> 00:05:54,480 Speaker 1: a lot of problems. You know, this is what we 117 00:05:54,520 --> 00:05:56,279 Speaker 1: saw on our April survey. We've got our we've got 118 00:05:56,320 --> 00:05:58,599 Speaker 1: our new May flash YETA coming out and you know 119 00:05:59,320 --> 00:06:01,919 Speaker 1: about a two weeks Uh, these are the dynamics that 120 00:06:01,960 --> 00:06:04,960 Speaker 1: we've seen too, and it is putting she under severe pressure. 121 00:06:05,200 --> 00:06:07,160 Speaker 1: It's one of the reasons why China sort of you 122 00:06:07,279 --> 00:06:10,520 Speaker 1: turn from this, let's go out and be global leaders 123 00:06:10,680 --> 00:06:16,240 Speaker 1: and and really just backtracked to convincing their domestic population 124 00:06:16,720 --> 00:06:19,080 Speaker 1: that everyone's getting up on China and you have to 125 00:06:19,080 --> 00:06:21,480 Speaker 1: defend the party. And this is why she's support and 126 00:06:21,520 --> 00:06:24,160 Speaker 1: the party's support is relatively high at home. But why 127 00:06:24,200 --> 00:06:26,520 Speaker 1: everyone around the world right now is mad at China, 128 00:06:27,000 --> 00:06:31,000 Speaker 1: uh for for very aggressive diplomatic behavior. Leland, thanks so 129 00:06:31,040 --> 00:06:33,479 Speaker 1: much for joining us. We always appreciate your perspective and 130 00:06:33,600 --> 00:06:37,239 Speaker 1: all things China. Leland Miller, chief executive Officer of China 131 00:06:37,279 --> 00:06:40,640 Speaker 1: Beije Book International. At least it's uh, you know, it's 132 00:06:40,680 --> 00:06:43,520 Speaker 1: really interesting. I always appreciate Lenian's perspective here suggesting here 133 00:06:43,560 --> 00:06:45,719 Speaker 1: that a lot of this is just rhetoric from I 134 00:06:45,720 --> 00:06:48,599 Speaker 1: guess both sides that it certainly it relates to the U. 135 00:06:48,680 --> 00:06:51,479 Speaker 1: S side as it relates to a presidential election coming up, 136 00:06:51,520 --> 00:06:53,880 Speaker 1: and here's a topic that has proven to be very 137 00:06:53,920 --> 00:06:56,920 Speaker 1: beneficial to President Trump and his base at a time 138 00:06:56,960 --> 00:06:59,200 Speaker 1: when there's a lot of grim news out there relates 139 00:06:59,240 --> 00:07:01,960 Speaker 1: to the economy and then the pandemic, the interesting thing 140 00:07:02,120 --> 00:07:05,360 Speaker 1: I think is that the Democrats and Democratic candidate Joe 141 00:07:05,400 --> 00:07:08,120 Speaker 1: Biden is also taking a very hard line. I mean, 142 00:07:08,160 --> 00:07:12,520 Speaker 1: it's bipartisan, this anger towards China. My question is, at 143 00:07:12,520 --> 00:07:15,320 Speaker 1: what point does the rhetoric go to a place where 144 00:07:15,320 --> 00:07:18,000 Speaker 1: it cannot return? Right? I mean, at what point do 145 00:07:18,080 --> 00:07:21,400 Speaker 1: we cross some line where we do enter some sort 146 00:07:21,440 --> 00:07:24,600 Speaker 1: of escalating spiral to both of Jim Ping and Donald 147 00:07:24,640 --> 00:07:27,440 Speaker 1: Trump have a hard time backing down from Yeah, exactly right. 148 00:07:27,480 --> 00:07:32,920 Speaker 1: We will certainly be paying close attention to that. You know, 149 00:07:32,920 --> 00:07:34,920 Speaker 1: we've seen just in a past couple of days, some 150 00:07:35,080 --> 00:07:38,680 Speaker 1: really brutal data as it relates to the consumer, whether 151 00:07:38,760 --> 00:07:43,080 Speaker 1: it's a jobless claims yesterday or retail sales today. And 152 00:07:43,120 --> 00:07:45,280 Speaker 1: the question is what does that mean for the real 153 00:07:45,440 --> 00:07:48,440 Speaker 1: estate market here? I mean, if consumers are out of jobs, 154 00:07:48,440 --> 00:07:50,360 Speaker 1: if they're really word, they're not spending, what are they 155 00:07:50,440 --> 00:07:53,440 Speaker 1: doing in terms of real estate? That get some good answers, 156 00:07:53,720 --> 00:07:56,720 Speaker 1: We welcome Jonathan Millard, President and chief executive officer of 157 00:07:56,880 --> 00:07:59,480 Speaker 1: Miller Samuel based in New York City. Jonathan, thanks so 158 00:07:59,560 --> 00:08:02,360 Speaker 1: much for winning is here interest rates you know at 159 00:08:02,440 --> 00:08:05,480 Speaker 1: or near all time loads, that's generally really good for 160 00:08:06,160 --> 00:08:07,880 Speaker 1: the real estate market give us a sense of how 161 00:08:08,200 --> 00:08:11,680 Speaker 1: consumers are behaving here as it leads to real estate. Well, 162 00:08:11,880 --> 00:08:13,880 Speaker 1: you know, so much about what happens in the real 163 00:08:13,960 --> 00:08:18,520 Speaker 1: estate market is pragmatic. In the context of real estate 164 00:08:18,840 --> 00:08:23,360 Speaker 1: agents and brokers can't show properties yet, uh, and virtual 165 00:08:23,840 --> 00:08:26,680 Speaker 1: is certainly uh you know out there, and you know, 166 00:08:27,120 --> 00:08:29,400 Speaker 1: you know, people are doing zoo calls and and all 167 00:08:29,440 --> 00:08:32,680 Speaker 1: that sort of thing. The problem is that most people 168 00:08:32,720 --> 00:08:35,360 Speaker 1: aren't going to pull the trigger, so to speak, on 169 00:08:35,440 --> 00:08:38,800 Speaker 1: a home purchase if they can't physically see it. A 170 00:08:38,840 --> 00:08:41,880 Speaker 1: lot of the contracts that we're seeing now have linkage 171 00:08:41,920 --> 00:08:44,920 Speaker 1: to sort of pre COVID periods or somebody had looked 172 00:08:44,920 --> 00:08:47,959 Speaker 1: at a property and then you know, lost interest and 173 00:08:48,000 --> 00:08:52,240 Speaker 1: now they're coming back. Um. Alternatively, on the rental market, 174 00:08:52,880 --> 00:08:56,319 Speaker 1: we're also seeing a sharp drop in new leasing activity 175 00:08:56,559 --> 00:09:01,599 Speaker 1: as most of the transactions where rents are being negotiated 176 00:09:01,679 --> 00:09:04,880 Speaker 1: lower occurring on the renewal side and not public facing. 177 00:09:05,320 --> 00:09:07,400 Speaker 1: So we're really in a moment where there's just not 178 00:09:07,480 --> 00:09:10,160 Speaker 1: a lot of data, um, you know, at the moment. 179 00:09:10,200 --> 00:09:13,440 Speaker 1: I think that will change pretty quickly as shelter and 180 00:09:13,480 --> 00:09:16,400 Speaker 1: place rolls start to ease and we're starting to hear 181 00:09:16,440 --> 00:09:19,880 Speaker 1: about areas outside of the major metropolitan areas and the 182 00:09:19,920 --> 00:09:24,280 Speaker 1: coasts picking up traction quickly, even site unseen people trying 183 00:09:24,280 --> 00:09:27,520 Speaker 1: to just buy houses that are outside of the most 184 00:09:27,559 --> 00:09:31,079 Speaker 1: densely populated areas. Does that give you a hint about 185 00:09:31,080 --> 00:09:35,079 Speaker 1: a possible exodus from New York City, San Francisco or 186 00:09:35,160 --> 00:09:38,600 Speaker 1: some of these other areas that have been harder hit. Well, 187 00:09:38,679 --> 00:09:42,240 Speaker 1: you know, we're already seeing uh, you know, an outbound 188 00:09:42,240 --> 00:09:47,080 Speaker 1: migration at least in inquiries, but the initial wave is 189 00:09:47,360 --> 00:09:53,040 Speaker 1: more is predominantly rental inquiries, you know, as urban dwellers 190 00:09:53,080 --> 00:09:57,199 Speaker 1: are sort of testing the waters for you know, suburban life. 191 00:09:58,000 --> 00:10:01,319 Speaker 1: We've actually seen this before this right after not eleven 192 00:10:01,440 --> 00:10:05,560 Speaker 1: and within two to three years that outbound migration reversed. 193 00:10:06,160 --> 00:10:09,400 Speaker 1: Um also too, I have a high competence level in 194 00:10:09,440 --> 00:10:13,120 Speaker 1: the ability of human beings to forget the recent past 195 00:10:13,760 --> 00:10:18,600 Speaker 1: and uh and so uh so I'm totally in agreement 196 00:10:18,679 --> 00:10:21,960 Speaker 1: that we are going to and are already seeing this 197 00:10:22,520 --> 00:10:27,040 Speaker 1: suburban or even second home uh search. But I'm not 198 00:10:27,240 --> 00:10:31,520 Speaker 1: confident about being a permanent structural change in the way 199 00:10:31,559 --> 00:10:34,600 Speaker 1: people view cities. Jonathan. There is a question, though, is 200 00:10:34,640 --> 00:10:38,880 Speaker 1: this time different given the remote work type situation. The 201 00:10:38,920 --> 00:10:41,720 Speaker 1: idea that working from home is gaining traction in a 202 00:10:41,760 --> 00:10:44,760 Speaker 1: way that it never has before. Does that change the equation? 203 00:10:45,800 --> 00:10:51,040 Speaker 1: I think it helps expand the time frame of the 204 00:10:51,200 --> 00:10:56,280 Speaker 1: suburban uh you know, the move to suburban but commute times. 205 00:10:56,559 --> 00:10:59,439 Speaker 1: You know. I think it's a little premature to declare 206 00:11:00,160 --> 00:11:04,560 Speaker 1: that people are going to be buying houses, uh, the mainstream, 207 00:11:04,600 --> 00:11:07,640 Speaker 1: not on the margin because they don't have to go 208 00:11:07,679 --> 00:11:10,600 Speaker 1: into the office. I don't right now when you talk 209 00:11:10,679 --> 00:11:14,880 Speaker 1: to Corporate America and they're talking about expanding, um, you know, 210 00:11:14,960 --> 00:11:18,360 Speaker 1: they're thinking on going you know, we're having remote workers. 211 00:11:18,640 --> 00:11:20,680 Speaker 1: You have to remember that many of these companies are 212 00:11:20,720 --> 00:11:24,400 Speaker 1: hemorrhaging right now, and they're anxious and desperate for cost 213 00:11:24,480 --> 00:11:27,160 Speaker 1: saving measures. And so I don't know if that mindset 214 00:11:27,280 --> 00:11:29,560 Speaker 1: is going to remain in place two or three years 215 00:11:29,600 --> 00:11:33,280 Speaker 1: from now, but it certainly helps expand the time frame 216 00:11:33,400 --> 00:11:36,839 Speaker 1: that you know this potentially can happen. So, Jonathan, Yes, 217 00:11:36,880 --> 00:11:38,959 Speaker 1: we look to the other side of this pandemic, and 218 00:11:39,240 --> 00:11:41,360 Speaker 1: let's assume there is a vaccine out there in some 219 00:11:41,400 --> 00:11:44,560 Speaker 1: reasonable period of time. How do you expect and given 220 00:11:44,559 --> 00:11:46,480 Speaker 1: where rates are and a lot of people expect rates 221 00:11:46,520 --> 00:11:49,600 Speaker 1: to be lower for longer, even before the pandemic. How 222 00:11:49,600 --> 00:11:52,439 Speaker 1: do you expect the US kind of real estate market 223 00:11:52,440 --> 00:11:57,319 Speaker 1: to play out? Well, what we're already seeing in markets 224 00:11:57,360 --> 00:12:02,160 Speaker 1: that have UH allowed the showing of real estate by 225 00:12:02,200 --> 00:12:06,360 Speaker 1: the brokerage community, we're already seeing a real uptick is 226 00:12:06,400 --> 00:12:11,199 Speaker 1: still far below normal, but we're seeing a rapid UH 227 00:12:11,400 --> 00:12:15,720 Speaker 1: increase in pending sales. Now, it's not clear whether this 228 00:12:15,840 --> 00:12:18,240 Speaker 1: is a function of just a release of pent up 229 00:12:18,280 --> 00:12:21,120 Speaker 1: demand over the last couple of months, or this is 230 00:12:21,160 --> 00:12:24,400 Speaker 1: just a market racing to get back to normal. Um. 231 00:12:24,440 --> 00:12:27,240 Speaker 1: You know, we certainly have extensive job loss, and you 232 00:12:27,280 --> 00:12:31,560 Speaker 1: know that weighs heavy on how this looks a post 233 00:12:31,840 --> 00:12:34,800 Speaker 1: post crisis. But at least from what I'm seeing in 234 00:12:34,840 --> 00:12:40,240 Speaker 1: other areas of the country, I'm encouraged by the sort 235 00:12:40,240 --> 00:12:46,520 Speaker 1: of return to transactional type activity. UM, and I think 236 00:12:46,559 --> 00:12:48,680 Speaker 1: that bodes well for New York as well. I just 237 00:12:48,720 --> 00:12:51,080 Speaker 1: think it's we're going to be sort of late to 238 00:12:51,120 --> 00:12:54,679 Speaker 1: the party on that, given the extent of the crisis 239 00:12:54,679 --> 00:12:59,560 Speaker 1: in our region. Jonathan Miller, thank you so much. It 240 00:12:59,679 --> 00:13:02,959 Speaker 1: is full to have you on. It's really wonderful perspective 241 00:13:03,000 --> 00:13:07,920 Speaker 1: from your decades of experience Jonathan Miller of Miller and Samuel, 242 00:13:08,000 --> 00:13:11,720 Speaker 1: just really highlighting the nuance here as we look to 243 00:13:11,760 --> 00:13:18,760 Speaker 1: a post pandemic world of real estate. It was possibly 244 00:13:18,760 --> 00:13:22,280 Speaker 1: the most intriguing column that I read this week by 245 00:13:22,360 --> 00:13:26,319 Speaker 1: Andrea's Cloth of Bloomberg opinion, Your kids may never return 246 00:13:26,400 --> 00:13:30,040 Speaker 1: to normal schooling, And honestly, it was a fascinating column. 247 00:13:30,160 --> 00:13:33,280 Speaker 1: Andrea's Cloth he's a member of Bloomberg's editorial board. He 248 00:13:33,320 --> 00:13:36,720 Speaker 1: also was previously editor in chief of Handel's Blood Global 249 00:13:36,760 --> 00:13:39,640 Speaker 1: and a writer for The Economist. Andrea's this sucked me in. 250 00:13:39,800 --> 00:13:42,280 Speaker 1: As the mother of two children who are homeschooling via 251 00:13:42,400 --> 00:13:45,720 Speaker 1: computer at home, including a son who is learning coding 252 00:13:45,960 --> 00:13:48,960 Speaker 1: from an eighteen year old in Singapore. I've learned who 253 00:13:49,000 --> 00:13:51,880 Speaker 1: he had found because he enjoyed his codes. I'm just 254 00:13:51,960 --> 00:13:57,720 Speaker 1: wondering what's the future here of education? Well, the future, hey, 255 00:13:57,800 --> 00:14:01,839 Speaker 1: that's that's your mouthful. But the future is, as I 256 00:14:01,920 --> 00:14:05,480 Speaker 1: said in the column, it could be very dark or 257 00:14:05,520 --> 00:14:08,440 Speaker 1: it could be rather brighter so and and unfortunately could 258 00:14:08,440 --> 00:14:10,280 Speaker 1: be both at the same time for different of us. 259 00:14:10,320 --> 00:14:15,520 Speaker 1: Because that the worst thing about these school closures or 260 00:14:15,559 --> 00:14:19,400 Speaker 1: these partial openings, because for instance, I'm in Berlin I 261 00:14:19,520 --> 00:14:22,360 Speaker 1: have three kids. They've started going back to school this here, 262 00:14:22,600 --> 00:14:25,800 Speaker 1: but that just means staggered shifts. They're not you know, 263 00:14:26,120 --> 00:14:28,640 Speaker 1: it's not binary, and they're not totally open. We will 264 00:14:28,680 --> 00:14:33,360 Speaker 1: probably have very little time in physical schools for a 265 00:14:33,480 --> 00:14:37,520 Speaker 1: long time, maybe years. And so the downside is in 266 00:14:37,560 --> 00:14:41,840 Speaker 1: this age of inequality, some kids, some families, digital divide, 267 00:14:41,840 --> 00:14:45,240 Speaker 1: and everything will get left behind. But in this column, 268 00:14:45,240 --> 00:14:47,960 Speaker 1: I wanted to focus on what I think caught your attention, 269 00:14:47,960 --> 00:14:53,800 Speaker 1: which was the positive side, provided that teachers and unions, 270 00:14:53,840 --> 00:14:57,240 Speaker 1: teacher unions and school boards and so forth see this 271 00:14:57,400 --> 00:14:59,960 Speaker 1: as an opportunity and say what can we do different? 272 00:15:00,000 --> 00:15:02,640 Speaker 1: And lee And that brought me to concepts in my 273 00:15:02,800 --> 00:15:08,240 Speaker 1: conversation that I had well was something called blended or 274 00:15:08,400 --> 00:15:11,560 Speaker 1: flipped classrooms, you know, and we would we would have 275 00:15:11,600 --> 00:15:13,480 Speaker 1: to go into that a little bit, all right, So 276 00:15:13,560 --> 00:15:15,960 Speaker 1: let's let's do go into that. What's kind of a 277 00:15:16,000 --> 00:15:18,560 Speaker 1: flip classroom? I'm sensing it's a little bit of a 278 00:15:19,040 --> 00:15:23,680 Speaker 1: mix of physical and virtual. Yes, And nobody, just to 279 00:15:23,720 --> 00:15:26,440 Speaker 1: be clear, is is ever talking about getting rid of 280 00:15:26,880 --> 00:15:30,000 Speaker 1: human connections. In fact, the goal here is to make 281 00:15:30,120 --> 00:15:34,600 Speaker 1: human connections stronger and better, and both the physical even 282 00:15:34,640 --> 00:15:36,880 Speaker 1: if we have less time in a physical classroom with 283 00:15:36,920 --> 00:15:39,400 Speaker 1: the teacher, we want to make that better. And also 284 00:15:39,480 --> 00:15:42,640 Speaker 1: the in person the classroom or one on one on 285 00:15:42,800 --> 00:15:46,120 Speaker 1: zoom for instance. So it's not about replacing anybody, it's 286 00:15:46,160 --> 00:15:48,360 Speaker 1: just about making them better. So what we want to 287 00:15:48,400 --> 00:15:54,080 Speaker 1: do is to use tools online tools. And I happen 288 00:15:54,160 --> 00:15:57,600 Speaker 1: to talk to Salcan for this column because I myself 289 00:15:57,640 --> 00:16:00,200 Speaker 1: when my kids used kind Academy. But there's a out 290 00:16:00,200 --> 00:16:03,080 Speaker 1: of these edge tech tools. So for instance, something like 291 00:16:03,320 --> 00:16:05,800 Speaker 1: or let me get tell you what for the past 292 00:16:05,840 --> 00:16:08,200 Speaker 1: two hundred years since the industrial in the since the 293 00:16:08,240 --> 00:16:11,040 Speaker 1: industrial Revolution, you had a teacher at the front and 294 00:16:11,120 --> 00:16:14,120 Speaker 1: a blackboard. And the innovation is that that's not a 295 00:16:14,160 --> 00:16:17,680 Speaker 1: white board and he lectures to a passive class, sends 296 00:16:17,720 --> 00:16:20,240 Speaker 1: the kids home their filt a worksheet. A lot of 297 00:16:20,240 --> 00:16:22,680 Speaker 1: them have no clue what they're doing. They go back 298 00:16:22,720 --> 00:16:25,720 Speaker 1: to class, they keep going anyway, even though some kids 299 00:16:25,800 --> 00:16:27,880 Speaker 1: are left behind, and at the end they take a 300 00:16:27,920 --> 00:16:31,640 Speaker 1: standardized test. Okay, so that's not ideal. So what we 301 00:16:31,680 --> 00:16:34,160 Speaker 1: want to do now is why not flip this so 302 00:16:34,400 --> 00:16:38,760 Speaker 1: you watch the lectures at home. That's pretty active. You posit, 303 00:16:38,880 --> 00:16:41,760 Speaker 1: you rewinded, you comment on it the way the kids do. 304 00:16:42,360 --> 00:16:45,360 Speaker 1: And then you do some online exercises to drill it, 305 00:16:45,680 --> 00:16:48,040 Speaker 1: and the teacher has already logged on and looking at 306 00:16:48,280 --> 00:16:53,120 Speaker 1: who's stuck where, And then you go to class and 307 00:16:53,360 --> 00:16:56,760 Speaker 1: now class is not the lecture, but now class is 308 00:16:56,760 --> 00:17:00,520 Speaker 1: a one on one or small group social are active 309 00:17:01,240 --> 00:17:04,640 Speaker 1: uh session where where the teacher cook post, where you 310 00:17:04,800 --> 00:17:07,919 Speaker 1: where this student is, not where the class should be. 311 00:17:07,920 --> 00:17:10,640 Speaker 1: Where where this student is and the other helps him 312 00:17:10,640 --> 00:17:12,920 Speaker 1: in with a problem or extends the knowledge if he's 313 00:17:12,920 --> 00:17:16,000 Speaker 1: doing well. And that's the that's flipping it or blending 314 00:17:16,040 --> 00:17:19,200 Speaker 1: the online and the offline. Andrea is just real quick here. 315 00:17:19,240 --> 00:17:23,680 Speaker 1: I'm wondering how parental involvement kind of gets amplified here 316 00:17:24,000 --> 00:17:27,560 Speaker 1: in terms of the divide between people who are involved 317 00:17:27,840 --> 00:17:32,200 Speaker 1: versus those who aren't. I think hugely there's no way 318 00:17:32,240 --> 00:17:35,639 Speaker 1: around this um because it's a social problem. But I, 319 00:17:36,000 --> 00:17:39,160 Speaker 1: my wife and I we have three kids, were incredibly involved. 320 00:17:39,200 --> 00:17:41,600 Speaker 1: That's what led me to talk to Salcohn because I've 321 00:17:41,600 --> 00:17:45,440 Speaker 1: been doing this for years and sadly many many other 322 00:17:45,480 --> 00:17:48,560 Speaker 1: parents are not, not because necessarily they're bad parents, but 323 00:17:48,600 --> 00:17:51,600 Speaker 1: because they're they're they're at working, or they don't have WiFi, 324 00:17:51,680 --> 00:17:54,159 Speaker 1: and we have these problems. So the downside and I 325 00:17:54,280 --> 00:17:57,080 Speaker 1: and this was the topic of my previous column, The 326 00:17:57,200 --> 00:17:59,679 Speaker 1: dark side is. This was the bright side before that 327 00:17:59,720 --> 00:18:01,879 Speaker 1: I wrote the dark The dark side is, as a 328 00:18:01,920 --> 00:18:05,720 Speaker 1: result of this pandemic and the school closures, we will 329 00:18:05,800 --> 00:18:10,359 Speaker 1: have dramatically more inequality, not just now but for years 330 00:18:10,359 --> 00:18:13,320 Speaker 1: to come. As these kids go to college or in 331 00:18:13,359 --> 00:18:15,920 Speaker 1: fact don't college, will go less to college and then 332 00:18:16,119 --> 00:18:21,480 Speaker 1: are more unemployed and make less. This will exacerbate inequality. 333 00:18:21,520 --> 00:18:24,920 Speaker 1: There's no way around that. Andreas. Thank you so much 334 00:18:25,160 --> 00:18:28,280 Speaker 1: for joining us, and really appreciate your columns. Really thought provoking, 335 00:18:28,320 --> 00:18:31,040 Speaker 1: particularly for those of us who do have some school 336 00:18:31,080 --> 00:18:34,040 Speaker 1: age children and are kind of kind of weighing these issues. 337 00:18:34,080 --> 00:18:37,560 Speaker 1: Here Andrea's Kluth, columnists for Bloomberg Opinion, joining us on 338 00:18:37,600 --> 00:18:42,080 Speaker 1: the phone from Berlin. You know, I can't imagine, Lisa. 339 00:18:42,200 --> 00:18:44,199 Speaker 1: I mean, you've got the two young ones kind of 340 00:18:44,240 --> 00:18:46,960 Speaker 1: doing this for an extended period of time, even beyond 341 00:18:47,000 --> 00:18:49,240 Speaker 1: what we've done this year. Yeah. Well, I think that 342 00:18:49,280 --> 00:18:51,159 Speaker 1: we're going to get used to that idea because I 343 00:18:51,160 --> 00:18:53,560 Speaker 1: don't know when they're going back. I gotta say, after 344 00:18:53,680 --> 00:18:57,880 Speaker 1: listening uh to Anthony Fauci. He said, you know, who 345 00:18:57,920 --> 00:19:04,240 Speaker 1: knows September might be premature, exactly waiting for the vaccine. 346 00:19:06,560 --> 00:19:09,680 Speaker 1: If you ask somebody what's the outlook for our municipal 347 00:19:09,760 --> 00:19:13,439 Speaker 1: finances right now, they might say not great, Bob, not 348 00:19:13,600 --> 00:19:16,600 Speaker 1: so great. Right now we are facing a huge deficit 349 00:19:16,800 --> 00:19:19,280 Speaker 1: in cities across the country. And joining us now with 350 00:19:19,359 --> 00:19:23,400 Speaker 1: a comprehensive look is Kathleen McNamara, senior municipal bond strategist 351 00:19:23,440 --> 00:19:26,960 Speaker 1: at US Wealth Management, which put out a report highlighting 352 00:19:27,320 --> 00:19:31,280 Speaker 1: just how bleak the situation is. Kathleen, can you start 353 00:19:31,280 --> 00:19:35,160 Speaker 1: with just an overview, a historical perspective of how bleak 354 00:19:35,200 --> 00:19:41,240 Speaker 1: this is relative to previous difficult times the U. S economy? Ah? Sure, Um, 355 00:19:41,280 --> 00:19:43,320 Speaker 1: I mean in our report, you know, we we do 356 00:19:43,440 --> 00:19:46,160 Speaker 1: talk about the fact that this, you know, COVID nineteen 357 00:19:46,640 --> 00:19:49,240 Speaker 1: is really what we look at as an exogenous shock 358 00:19:49,359 --> 00:19:52,520 Speaker 1: to the system. Um. You know, certainly we've been through 359 00:19:52,520 --> 00:19:55,840 Speaker 1: crises before, the financial crisis just ten years ago, but 360 00:19:55,960 --> 00:19:59,960 Speaker 1: that was really triggered by you know, um, a banking crisis, 361 00:20:00,040 --> 00:20:03,359 Speaker 1: and in this scenario, the banks actually were in a 362 00:20:03,400 --> 00:20:06,960 Speaker 1: strong position going into this crisis. Um. So here we're 363 00:20:07,000 --> 00:20:09,560 Speaker 1: dealing with something we haven't dealt with before. We're dealing 364 00:20:09,560 --> 00:20:12,240 Speaker 1: with a health crisis M which has turned into a 365 00:20:12,240 --> 00:20:17,160 Speaker 1: financial crisis, which in turn is weighing on almost every 366 00:20:17,200 --> 00:20:21,359 Speaker 1: area of the municipal bond market. And we do go through, UM, 367 00:20:21,400 --> 00:20:25,000 Speaker 1: all of the different sectors in the muni market and 368 00:20:25,280 --> 00:20:28,439 Speaker 1: what we see going forward. So, Kathy, what are some 369 00:20:28,440 --> 00:20:30,719 Speaker 1: of the sectors that are kind of most at risk here? 370 00:20:30,760 --> 00:20:33,960 Speaker 1: I know the pain is pretty broad based, pretty deep, 371 00:20:34,240 --> 00:20:35,399 Speaker 1: but what are some of the sectors that kind of 372 00:20:35,480 --> 00:20:39,160 Speaker 1: jumped out of you. Yeah, the sectors that we talked 373 00:20:39,160 --> 00:20:41,640 Speaker 1: about in the report that jumped out to us as 374 00:20:41,800 --> 00:20:44,679 Speaker 1: UM going to experience the most stress is the private 375 00:20:44,720 --> 00:20:47,680 Speaker 1: higher ed sector UM, as well as the health care 376 00:20:47,720 --> 00:20:52,080 Speaker 1: sector UM. You know, by contrast, UM, you know, states, 377 00:20:52,200 --> 00:20:55,120 Speaker 1: I know there's a lot of UM, you know, negative 378 00:20:55,119 --> 00:20:59,480 Speaker 1: headlines with respect to states, UM, but we do think 379 00:20:59,600 --> 00:21:02,040 Speaker 1: that UM, you know, states are going to benefit from 380 00:21:02,040 --> 00:21:06,280 Speaker 1: this you know, municipal liquidity facility that the FED has established, 381 00:21:06,320 --> 00:21:10,480 Speaker 1: and we also believe that you know, states have more flexibility, UM, 382 00:21:10,520 --> 00:21:13,960 Speaker 1: you know, to manage their finances through the crisis. UM. 383 00:21:14,000 --> 00:21:16,600 Speaker 1: So it's really the you know, the higher education UM 384 00:21:16,680 --> 00:21:19,679 Speaker 1: sector that we do have UM the most concern about, 385 00:21:20,160 --> 00:21:22,600 Speaker 1: you know, in that in that sector. You know, we 386 00:21:22,640 --> 00:21:25,879 Speaker 1: believe that we're going to see some you know, substantial 387 00:21:25,960 --> 00:21:30,440 Speaker 1: NEIA term student enrollment pressures. Um, we're going to see 388 00:21:30,800 --> 00:21:34,560 Speaker 1: some decline in investment portfolios, you know, as well as 389 00:21:34,600 --> 00:21:36,359 Speaker 1: you know the role of technology. I mean, what we're 390 00:21:36,400 --> 00:21:39,320 Speaker 1: seeing now is that, um, some of these you know 391 00:21:39,440 --> 00:21:43,880 Speaker 1: universities have shifted to online classes and that has meaningful 392 00:21:43,960 --> 00:21:47,000 Speaker 1: implications for the sector. You know. Of course, you know, 393 00:21:47,080 --> 00:21:50,399 Speaker 1: there's the institutions with large endowments and strong brands. We 394 00:21:50,440 --> 00:21:52,920 Speaker 1: think those will be resilient and easily adapt to the 395 00:21:53,040 --> 00:21:57,199 Speaker 1: changes and retain their market position. But by contrast, you know, 396 00:21:57,280 --> 00:22:01,160 Speaker 1: some of the smaller liberal arts college is that already 397 00:22:01,200 --> 00:22:04,920 Speaker 1: faced demographic and financial challenges. We do think that, um, 398 00:22:05,119 --> 00:22:07,119 Speaker 1: you know, the impact from COVID nineteen is going to 399 00:22:07,160 --> 00:22:11,760 Speaker 1: be meaningful. We are expecting some sort of financial bailout 400 00:22:11,920 --> 00:22:14,240 Speaker 1: or perhaps that's the wrong word, rescue financing from the 401 00:22:14,280 --> 00:22:17,040 Speaker 1: federal government to states municipalities. But they've made it very 402 00:22:17,040 --> 00:22:20,199 Speaker 1: clear that they don't want to backstop governments that have 403 00:22:20,280 --> 00:22:23,879 Speaker 1: been irresponsible with their finances heading into this, and that 404 00:22:23,960 --> 00:22:27,919 Speaker 1: really speaks to pension under funding which has gotten dramatically worse. 405 00:22:28,400 --> 00:22:31,280 Speaker 1: What's the consequence there for the situation that the pensions 406 00:22:31,359 --> 00:22:35,160 Speaker 1: are in, given the fact that I can't really foresee 407 00:22:35,160 --> 00:22:37,280 Speaker 1: how some of them are going to meet their upcoming 408 00:22:37,280 --> 00:22:42,120 Speaker 1: obligations without a traumatic shift in the market. Ah, yeah, 409 00:22:42,200 --> 00:22:45,000 Speaker 1: I mean, pensions obviously, you know, are an issue, you know, 410 00:22:45,080 --> 00:22:47,800 Speaker 1: for some of the states and local governments, not all. 411 00:22:48,440 --> 00:22:52,120 Speaker 1: And actually in our report we do UM rank all 412 00:22:52,240 --> 00:22:55,800 Speaker 1: fifty states UM in terms of their pension funding metrics. 413 00:22:55,840 --> 00:22:58,400 Speaker 1: So we always want everybody to know that. Yeah, I mean, 414 00:22:58,840 --> 00:23:02,000 Speaker 1: the states that our experience the most stressed, you know, 415 00:23:02,480 --> 00:23:04,920 Speaker 1: are in the headlines, but it's not every single state 416 00:23:05,480 --> 00:23:07,640 Speaker 1: UM with that, you know, what, what can they do? 417 00:23:07,680 --> 00:23:10,040 Speaker 1: I mean, you know, we are hopeful that there will 418 00:23:10,080 --> 00:23:13,360 Speaker 1: be some more UM aid coming to state and local governments. 419 00:23:13,359 --> 00:23:15,400 Speaker 1: I mean, the House is expected to pass a bill 420 00:23:15,480 --> 00:23:19,480 Speaker 1: today that will include another trillion dollars in aid to 421 00:23:19,520 --> 00:23:21,800 Speaker 1: state and local governments. Of course, you know, I don't 422 00:23:21,840 --> 00:23:24,040 Speaker 1: think that that full amount is going to gain approval 423 00:23:24,040 --> 00:23:26,280 Speaker 1: in the Senate. UM. But on the bright side, it 424 00:23:26,320 --> 00:23:29,520 Speaker 1: is a starting point for negotiations. And the other thing is, 425 00:23:29,640 --> 00:23:31,600 Speaker 1: you know, the fact that the you know, the FED 426 00:23:31,960 --> 00:23:35,080 Speaker 1: has established the municipal Liquidity facility. I mean, this is 427 00:23:35,119 --> 00:23:38,000 Speaker 1: something different than what we saw during the financial crisis. 428 00:23:38,080 --> 00:23:40,399 Speaker 1: So I think it's showing that the FEND is willing 429 00:23:40,800 --> 00:23:43,080 Speaker 1: to do, you know, whatever it takes to hate to 430 00:23:43,160 --> 00:23:47,000 Speaker 1: help these state and local governments. UM, you know, move along. 431 00:23:47,400 --> 00:23:50,160 Speaker 1: I mean on the flip side of what you mentioned 432 00:23:50,280 --> 00:23:53,240 Speaker 1: is is you know there's no appetite to bail out 433 00:23:53,359 --> 00:23:57,479 Speaker 1: certain states that UM have not been managing their pension 434 00:23:57,520 --> 00:24:01,200 Speaker 1: issue through through the years. UM know that that's really 435 00:24:01,200 --> 00:24:05,800 Speaker 1: the sticking point. It becomes becomes quite political. Kathleen, thanks 436 00:24:05,800 --> 00:24:08,359 Speaker 1: so much for joining us. We appreciate your perspective on 437 00:24:08,359 --> 00:24:11,960 Speaker 1: the municipal bond market. Kathleen mcnamar's senior municipal bond strategist 438 00:24:12,000 --> 00:24:15,680 Speaker 1: for UBS Global Wealth Management. And at least it's can 439 00:24:15,720 --> 00:24:18,719 Speaker 1: be really interesting to see the political um kind of 440 00:24:18,840 --> 00:24:21,399 Speaker 1: mechanations here over the next several days and maybe weeks 441 00:24:21,440 --> 00:24:24,040 Speaker 1: between the Democrats and Republicans as it relates to this 442 00:24:24,080 --> 00:24:27,360 Speaker 1: new fiscal stimulus plan. The prior fiscal stimulus plans were 443 00:24:27,400 --> 00:24:30,800 Speaker 1: generally bipartisan passed fairly quickly. This one appears to be 444 00:24:30,800 --> 00:24:32,680 Speaker 1: a little bit more contentious, and I think it does 445 00:24:32,720 --> 00:24:36,040 Speaker 1: go in part, as Kathleen was suggesting to, you know, 446 00:24:36,640 --> 00:24:39,600 Speaker 1: funds for state and local municipalities. Yeah, this is the 447 00:24:39,720 --> 00:24:42,680 Speaker 1: House Speaker Nancy Pelosi bill. It's a three trillion dollar bill. 448 00:24:43,240 --> 00:24:46,320 Speaker 1: Mitch McConnell, the Senate leader, Majority leader, has said it's 449 00:24:46,320 --> 00:24:48,159 Speaker 1: dead on arrival, so it's not going to pass the 450 00:24:48,160 --> 00:24:50,280 Speaker 1: Senate in its full form. But he is going to 451 00:24:50,359 --> 00:24:53,200 Speaker 1: take cues to some degree from j Powell and Steve Mnuch, 452 00:24:53,280 --> 00:24:55,600 Speaker 1: who are testifying together in front of the Senate Banking 453 00:24:55,600 --> 00:24:58,879 Speaker 1: Committee next week on Tuesday. Very curious to hear what 454 00:24:58,920 --> 00:25:00,880 Speaker 1: they have to say. Yeah, and when you think about 455 00:25:01,320 --> 00:25:03,040 Speaker 1: some of the data points we've seen this weeklies in 456 00:25:03,119 --> 00:25:05,560 Speaker 1: terms of the jobs claims and then the retail sales today, 457 00:25:05,560 --> 00:25:09,480 Speaker 1: there's certainly enough economic data out there to prod both houses, 458 00:25:09,520 --> 00:25:12,760 Speaker 1: both sides, to move forward with some fiscal steelers, because 459 00:25:12,800 --> 00:25:15,840 Speaker 1: there is real pain out there in the US economy. 460 00:25:17,680 --> 00:25:19,920 Speaker 1: Thanks for listening to the Bloomberg P and L podcast. 461 00:25:20,080 --> 00:25:22,720 Speaker 1: You can subscribe and listen to interviews at Apple Podcasts 462 00:25:22,760 --> 00:25:25,760 Speaker 1: or whatever podcast platform you prefer. On Paul Sweeney, I'm 463 00:25:25,760 --> 00:25:28,479 Speaker 1: on Twitter at pt Sweeney. I'm Lisa Abramloy it's I'm 464 00:25:28,480 --> 00:25:31,440 Speaker 1: on Twitter at Lisa Abramoit's one before the podcast. You 465 00:25:31,480 --> 00:25:34,000 Speaker 1: can always catch us worldwide. I'm Bloomberg Radio