WEBVTT - Surveillance: 'Extreme' Jobless Numbers With Hooper

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<v Speaker 1>Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keane Jay Ley.

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<v Speaker 1>We bring you insight from the best in economics, finance, investment,

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<v Speaker 1>and international relations. Find Bloomberg Surveillance on Apple Podcasts, SoundCloud,

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<v Speaker 1>Bloomberg dot Com, and of course on the Bloomberg. There's

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<v Speaker 1>no one better to talk to about the quickness that

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<v Speaker 1>we are all living and Sevida Supermannian Bank of America

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<v Speaker 1>ahead of US equity quantitative strategy. Tell me about the

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<v Speaker 1>Greek letters Cevita, What does Gamma? What does Delta say

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<v Speaker 1>about this unusual time? You know, I think we've had

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<v Speaker 1>a fast and furious comeback in the market. I think

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<v Speaker 1>that's really interesting to look at today is just the

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<v Speaker 1>valuation of the market. Um, so, two things have happened

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<v Speaker 1>over the last month. The market has gone down and

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<v Speaker 1>then up pretty quickly, and then you've also seen earnings

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<v Speaker 1>revised down pretty aggressively. So what's happened is the pe

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<v Speaker 1>of the market. The price to earnings ratio has has

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<v Speaker 1>actually risen to almost the same highs that we were

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<v Speaker 1>at in February, which means the market is again very

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<v Speaker 1>very expensive, and this time it's because earnings are lower

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<v Speaker 1>and the prices back to uh to to you know,

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<v Speaker 1>pretty aggressive levels. So so I guess when we look

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<v Speaker 1>at the market today, we think, okay, it looks just

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<v Speaker 1>as expensive as it did about a month ago. And

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<v Speaker 1>we're not out of the woods yet. So we've got

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<v Speaker 1>you know, we've got employment likely to get worse before

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<v Speaker 1>it gets better. We've got um, you know, a lot

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<v Speaker 1>of uncertainty around timing uh in terms of business resumption. Um,

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<v Speaker 1>we've got you know, kind of a very muddled earning

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<v Speaker 1>season where a lot of companies are just shutting down

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<v Speaker 1>guidance because they have, you know, kind of a no

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<v Speaker 1>visibility in terms of what's going to happen. I don't know.

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<v Speaker 1>When I look at this, I think, okay, we've come

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<v Speaker 1>back pretty quickly. But do we really have the underpinnings

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<v Speaker 1>of fundamental underpinnings of a of a strong bowlmarket from here?

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<v Speaker 1>And I think that's the big question mark for me. Yeah,

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<v Speaker 1>And when you talk about questions, we used to say

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<v Speaker 1>pay attention to fundamentals, and now people are saying numbers

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<v Speaker 1>don't matter. We're flying blind. It's bad. We don't know

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<v Speaker 1>how bad. It doesn't matter how bad, as long as

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<v Speaker 1>we get a sense of when it actually starts to

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<v Speaker 1>come back. What's your compass right now for deciding whether

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<v Speaker 1>to buy or sell? Yeah, I think it's a really

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<v Speaker 1>good question. And I think the way we're thinking about

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<v Speaker 1>things is more just the short term is so fraught

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<v Speaker 1>with uh, with uncertainty, that it might just make more

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<v Speaker 1>sense to think about a normalized earnings approach, just you know,

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<v Speaker 1>what are earning is gonna look like over the next

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<v Speaker 1>few years. Does the does the global pandemic change a

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<v Speaker 1>lot for the earnings composition of the SMP five And

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<v Speaker 1>I think there are puts and takes, you know, So

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<v Speaker 1>I think if you think about travel and commercial real estate,

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<v Speaker 1>we might be less inclined to UM to see those uh,

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<v Speaker 1>those areas continue to to receive the amounts of to

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<v Speaker 1>continue to generate the amounts of revenue they have to

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<v Speaker 1>date um as you know this this sort of hastens

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<v Speaker 1>the work from home less reliance on on office space

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<v Speaker 1>aspect of the economy. But on the flip side, if

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<v Speaker 1>companies are paying less for office space and corporate travel,

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<v Speaker 1>then maybe that's good for margins UM. So I do

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<v Speaker 1>think that there are you know, kind of offsets positive

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<v Speaker 1>offsets to normalize learnings. But here's our take. We think

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<v Speaker 1>that normalized learnings is going to be about tempers that

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<v Speaker 1>lower than what what we were expecting prior to COVID

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<v Speaker 1>nineteen UM And you know, and I think that that's

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<v Speaker 1>that's not so bad. I think stocks are still offering

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<v Speaker 1>a relatively competitive return to most other fixed income assets.

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<v Speaker 1>And you know, kind of thinking about our quant models, uh,

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<v Speaker 1>you know, I think one of the things that we

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<v Speaker 1>find interesting is that valuation doesn't really matter for the

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<v Speaker 1>short term, but it does seem to matter quite strongly

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<v Speaker 1>for the long term. The R squared on on you know,

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<v Speaker 1>the pe ratio of the market over the next ten

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<v Speaker 1>years is above six. So that means that evaluation is

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<v Speaker 1>really important in terms of describing what the market's going

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<v Speaker 1>to look like over a ten year time horizon. And

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<v Speaker 1>returns right now look like they could be in the

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<v Speaker 1>you know, three to four to five percent range over

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<v Speaker 1>the next ten years. If you add on a two

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<v Speaker 1>to three percent dividend yield, that's you know, seven percent returns.

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<v Speaker 1>It's not bad in an environment where where interest rates

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<v Speaker 1>are super low and most fixed income assets aren't going

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<v Speaker 1>to offer that type of quality adjusted return. So I

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<v Speaker 1>think longer term stocks still look good to me, but

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<v Speaker 1>I think they've come back a little bit too quickly

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<v Speaker 1>to help us understand. Then, with all of this in mind,

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<v Speaker 1>how useful earning season is, Yeah, I mean it's a

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<v Speaker 1>it's a great question. So I think that earning season

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<v Speaker 1>is a little bit of a guessing game. A lot

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<v Speaker 1>of companies aren't going to give you guidance. Um, if

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<v Speaker 1>you look at the dispersion of analysts estimates, we've reached

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<v Speaker 1>all time highs. Nobody knows what's going on. So I

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<v Speaker 1>think that you know what you want to pay attention

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<v Speaker 1>to this earning season are surprises. One of the things

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<v Speaker 1>we found interesting was that in in prior periods when

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<v Speaker 1>dispersion of analysts estimates was this high, surprises were actually

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<v Speaker 1>rewarded more than usual. They were rewarded three times as

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<v Speaker 1>much as usual. So I think that earnings beats in

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<v Speaker 1>this environment are going to be very sparse, but but

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<v Speaker 1>they will definitely see much bigger rewards than what we've

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<v Speaker 1>what we've experienced historically. So I think that's what we

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<v Speaker 1>want to pay attention to this earning season. I don't

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<v Speaker 1>know if we really want to pay attention to guidance

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<v Speaker 1>because I think companies just like you and me don't

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<v Speaker 1>really have a good sense of how this year is

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<v Speaker 1>going to shape up. I'm not sure who's still providing guidance.

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<v Speaker 1>Saveta are always great to cash out with you. Thanks

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<v Speaker 1>for the half work from the team, especially the time

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<v Speaker 1>like the Savita SUPERMANI in there of Bank America on

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<v Speaker 1>this pandemic. We have been thrilled by our medical coverage.

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<v Speaker 1>We really might try to make it come to speak

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<v Speaker 1>to experts on this weeks and weeks and weeks ago,

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<v Speaker 1>and we want thrilled, thrilled to have an agreement with

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<v Speaker 1>Johns Hopkins to bring you their best and brightest across

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<v Speaker 1>all of their facilities, including the Bloomberg School of Public Health,

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<v Speaker 1>of course, with the philanthropy there of our founder Michael Bloomberg,

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<v Speaker 1>founder of Bloomberg Gelpi, and of course this television and

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<v Speaker 1>radio operation as well. But there's much more at the

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<v Speaker 1>Johns Hopkins University, and that includes a world class nursing program.

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<v Speaker 1>Jason Farley is a doctor at the nursing program. He

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<v Speaker 1>is expert on the people in the trenches and we

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<v Speaker 1>spoke today about the dynamics of this nation and nursing

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<v Speaker 1>here is Professor Farley. So we know that when we're

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<v Speaker 1>looking at how many people become critically yell and we're

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<v Speaker 1>still looking at approximately of people hospitalized UH needing some

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<v Speaker 1>form of acute care, and of that group, approximately half

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<v Speaker 1>will need some form of mechanical ventilation. Now needing mechanical

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<v Speaker 1>ventilation tend to be tend to skew toward our older population.

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<v Speaker 1>And we're still seeing that data in the United States

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<v Speaker 1>consistent with what we've seen around the world. Does our

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<v Speaker 1>response team in the US and in other parts of

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<v Speaker 1>the world have enough equipment, have enough personal protection to

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<v Speaker 1>deal with the virus in the coming weeks and months.

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<v Speaker 1>So so, the the administration has finally started to UM

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<v Speaker 1>offer support to the states in trying to get more PPE.

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<v Speaker 1>There have been herculean efforts by various governors across the

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<v Speaker 1>United States to UM bring in more in maps, to

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<v Speaker 1>bring in more gowns and gloves, to bring in face

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<v Speaker 1>shields for our frontline healthcare workers. UH. That has been

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<v Speaker 1>different across states, and as you've seen recording UM, different

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<v Speaker 1>governors across the United States have had to basically barter

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<v Speaker 1>decal in you know, for lack of a better word. UM,

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<v Speaker 1>personal protective equipment from various agencies, including going overseas to

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<v Speaker 1>obtain you know, maths from China and their supports mass

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<v Speaker 1>from other countries. UM. It's also in my home state

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<v Speaker 1>of Maryland, the governor has launched a in ninety reprocessing center,

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<v Speaker 1>one of the largest in the country, to facilitate the

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<v Speaker 1>reuse and cleaning of IN nine mass, which is something

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<v Speaker 1>that's unheard of. We would never typically reuse those types

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<v Speaker 1>of maps, so we're being very resilient in our efforts

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<v Speaker 1>to try to make sure we have enough ppe. Dr Farrow,

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<v Speaker 1>you are expert in the epidemiology of infectious diseases, and

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<v Speaker 1>your Johns Hopkins is flat out done the best job

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<v Speaker 1>of a regional, a city, almost a nationwide epidemiology and

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<v Speaker 1>study of these statistics. The statistics, the slopes, the second

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<v Speaker 1>derivatives for some of these regions California, Florida, they're really

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<v Speaker 1>not very good. New New Jersey just it's not happening.

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<v Speaker 1>Tell us about the diffusement of a virus from hot

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<v Speaker 1>spots which get all the media attention out into the

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<v Speaker 1>greater public. What is the experience you have of infectious

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<v Speaker 1>disease from a hot spots out to broader geographies. Sure,

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<v Speaker 1>so when we talk about hot spots, it's important for

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<v Speaker 1>everyone to understand that where we have ongoing you know,

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<v Speaker 1>replication of the virus and transmission of the virus UM.

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<v Speaker 1>You know, when a when we know what the effectivity

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<v Speaker 1>uh potential of the virus is, and that's what we

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<v Speaker 1>call are not um In this case, it's between two

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<v Speaker 1>and three. So that means for every person that you uh,

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<v Speaker 1>in fact, that person with COVID infects, they're gonna in

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<v Speaker 1>fact approximately two to two and a half to three

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<v Speaker 1>people UM with the virus. And so hot spots allow

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<v Speaker 1>that propagation or that that transmissibility to occur um ongoing

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<v Speaker 1>in an ongoing basis. Now the trickle effect, you know,

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<v Speaker 1>it's bleeding out into other locales and locations. It's the

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<v Speaker 1>perfect example in the United States right now in the

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<v Speaker 1>Rhode Island. It's been getting cases coming in from New York,

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<v Speaker 1>from New York State as well as in from Connecticut.

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<v Speaker 1>And it would not have deemed a hotspot, but because

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<v Speaker 1>of you know, migration, because of contact, because of UM,

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<v Speaker 1>you know, people's movement, it has now started to see

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<v Speaker 1>bleed over. Jason Farley Johns Hopkins University thrilled to have

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<v Speaker 1>him on today with their School of Nursing Mishall Meyer.

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<v Speaker 1>Where the Bank of America, Michelle, I guess I did

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<v Speaker 1>math there. I don't know if it's a Bank of

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<v Speaker 1>America quality, but I took twenty two million divided by

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<v Speaker 1>a hundred and fifty five million employed. That's really ugly.

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<v Speaker 1>How do you fold that into a guestimate of where

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<v Speaker 1>the unemployment rate will ahead? Um? Good morning, Good morning

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<v Speaker 1>Tom Coom morning John so. Um. Yes, absolutely, those are

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<v Speaker 1>disturbing numbers, UM, and your math is correct. Um, it's

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<v Speaker 1>about fourteen per suddenly before that have already lost jobs

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<v Speaker 1>in an extremely short order amount of time, So the

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<v Speaker 1>unemployment is already in double digits. It's um with these numbers,

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<v Speaker 1>if you assume one to one translation to the household

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<v Speaker 1>survey UM from the BLS, which is probably not quite right.

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<v Speaker 1>Probably there's some wiggle room there, but it would suggest

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<v Speaker 1>you're probably already at about a fourteen percent fifteen percent

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<v Speaker 1>unemployment rate. What do you think it's going to eventually

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<v Speaker 1>end up being given the pace that we're seeing, Given

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<v Speaker 1>the lack of clarity as far as the ability to

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<v Speaker 1>process these claims versus the demand for unemployment benefits right now,

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<v Speaker 1>So you know, the bulk of the loss is happening

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<v Speaker 1>right now. I mean, that's this what this recession looks like.

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<v Speaker 1>It's an acute crisis. It's it's shutting down of parts.

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<v Speaker 1>They come all happens very very suddenly. So UM, you know,

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<v Speaker 1>we certainly should assume some moderation going forward. UM. I

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<v Speaker 1>don't think we've returned anything that you know as kind

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<v Speaker 1>of pre COVID levels for a really long time. When

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<v Speaker 1>it comes to claims, UM, they will remain elevated, UM,

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<v Speaker 1>but coming up they will come off of these extraordinary

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<v Speaker 1>levels of five six million a week UM. Nonetheless, you know,

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<v Speaker 1>April jobs report will be clearly very ugly with what

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<v Speaker 1>we're seeing, you know, millions of of of jobs lost. UM.

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<v Speaker 1>They will probably also be very weak because you have

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<v Speaker 1>some residual weakness there companies that had tried to to

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<v Speaker 1>to stay along UM, but you know, at some point

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<v Speaker 1>kind of decided that the math doesn't make sense anymore

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<v Speaker 1>and their employees would probably be better if they do

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<v Speaker 1>go on unemployment insurance. So you know, there's some laggers

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<v Speaker 1>there as well. UM, And I do think that it's

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<v Speaker 1>going to take some time to work through all of that, Michelle.

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<v Speaker 1>In four weeks, we've taken out ten years of jobs

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<v Speaker 1>growth in just four weeks, and quite clear it's easier

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<v Speaker 1>quicker to get rid of jobs than it is to

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<v Speaker 1>add them. Have you got any projections whatsoever at this

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<v Speaker 1>point about how long it's going to take to heal

0:13:09.840 --> 0:13:12.600
<v Speaker 1>these wounds that are deep into this labor market in

0:13:12.640 --> 0:13:16.199
<v Speaker 1>just four weeks, You're absolutely right. It's a lot easier

0:13:16.200 --> 0:13:17.960
<v Speaker 1>to shut the lights sticks off and put it back on,

0:13:18.240 --> 0:13:22.959
<v Speaker 1>especially in this environment where you know it's it's a dramatic,

0:13:23.040 --> 0:13:26.520
<v Speaker 1>quick shutdown, a lockdown, um from the shelter at home

0:13:26.600 --> 0:13:28.640
<v Speaker 1>orders and then it's going to be a very slow

0:13:28.800 --> 0:13:32.720
<v Speaker 1>and properly partial reopening. UM. So the one thing to

0:13:32.760 --> 0:13:34.880
<v Speaker 1>look at when you talk about the job cuts is

0:13:35.160 --> 0:13:41.240
<v Speaker 1>the percent that are reportedly considered temporarily unemployed. UM. You know, Esthmus,

0:13:41.240 --> 0:13:44.199
<v Speaker 1>I've seen suggested to that half of the current flow

0:13:44.240 --> 0:13:48.080
<v Speaker 1>and two unemployed are considered temp. So if that is

0:13:48.120 --> 0:13:51.440
<v Speaker 1>the case, those workers in theories should be more attached

0:13:51.480 --> 0:13:54.240
<v Speaker 1>to their employers um and they should be able to

0:13:54.440 --> 0:13:57.080
<v Speaker 1>have a clearer trajectory as to when they'll be hired

0:13:57.080 --> 0:13:59.480
<v Speaker 1>back on what that might look like. UM, so you'll

0:13:59.520 --> 0:14:02.920
<v Speaker 1>see an initial You know, once once we go to

0:14:02.960 --> 0:14:06.520
<v Speaker 1>the point where companies can start opening, businesses can start

0:14:06.920 --> 0:14:10.280
<v Speaker 1>coming back, even partially, they will bring their workforce back

0:14:10.320 --> 0:14:13.600
<v Speaker 1>to some content where it gets really sticky and where

0:14:13.640 --> 0:14:16.400
<v Speaker 1>you see the frictions. Is that next phase. Um, So

0:14:16.480 --> 0:14:19.600
<v Speaker 1>you bring back your essential workers and then what comes next,

0:14:19.680 --> 0:14:22.040
<v Speaker 1>It's going to be very slow because you describing you

0:14:22.200 --> 0:14:25.520
<v Speaker 1>improve your rise and claimed folks with this Michelle Meyer

0:14:25.640 --> 0:14:28.640
<v Speaker 1>Bank of America h this morning, your your rise to

0:14:28.840 --> 0:14:32.160
<v Speaker 1>economic acclaim. Michelle was founded on the housing market and

0:14:32.400 --> 0:14:34.960
<v Speaker 1>that dying to ask you this, give us the Michelle

0:14:34.960 --> 0:14:40.000
<v Speaker 1>Meyer Rent Dynamic Housing, sales dynamic housing, build dynamic. If

0:14:40.000 --> 0:14:41.960
<v Speaker 1>you had to write a three page essay right now

0:14:42.400 --> 0:14:45.960
<v Speaker 1>on housing amid this unemployment rate, how would you frame it?

0:14:46.760 --> 0:14:50.240
<v Speaker 1>Housing is under stress? Very simply? Um. You know, housing

0:14:50.440 --> 0:14:55.480
<v Speaker 1>is a sector that's heavily debt financed. So um, you

0:14:55.480 --> 0:14:58.400
<v Speaker 1>know it's reliant on the ability to get leverage and

0:14:58.480 --> 0:15:01.160
<v Speaker 1>the willingness suspend that debt. Both I would argue or

0:15:01.240 --> 0:15:04.400
<v Speaker 1>challenged right now from the household and from the builder perspective,

0:15:04.720 --> 0:15:08.320
<v Speaker 1>small builders UM and it also as respector that requires

0:15:08.360 --> 0:15:09.960
<v Speaker 1>quite a lot of confidence to go out and to

0:15:10.040 --> 0:15:13.120
<v Speaker 1>purchase the new property. Um to spend the money and

0:15:13.200 --> 0:15:15.840
<v Speaker 1>the time and the effort in terms of making that

0:15:16.200 --> 0:15:19.720
<v Speaker 1>your home of your dreams at all requires having confidence

0:15:19.720 --> 0:15:22.640
<v Speaker 1>about your current and future income. And I would argue

0:15:22.680 --> 0:15:24.840
<v Speaker 1>that that's certainly not the key today either. So you're

0:15:24.840 --> 0:15:28.680
<v Speaker 1>going to see quite a big drowsivity. Then what's the

0:15:28.760 --> 0:15:32.640
<v Speaker 1>elasticity of rent or house price? I mean, do you

0:15:32.960 --> 0:15:35.560
<v Speaker 1>do we finally get how you know, we're addicted to

0:15:35.640 --> 0:15:37.800
<v Speaker 1>housing always going up? Yeah, right, we learned in a

0:15:37.960 --> 0:15:42.200
<v Speaker 1>seven that doesn't work. But should we anticipate now flatness

0:15:42.320 --> 0:15:47.040
<v Speaker 1>or even declining cost of us living in rent or homes?

0:15:47.080 --> 0:15:49.960
<v Speaker 1>So you know it? First I'll take the un rents.

0:15:50.040 --> 0:15:53.560
<v Speaker 1>I mean on either rents are housing prices, they tend

0:15:53.560 --> 0:15:57.200
<v Speaker 1>to be sticky, so they don't adjust immediately. They you

0:15:57.280 --> 0:16:01.040
<v Speaker 1>first have to see transactions adjust er. You find the

0:16:01.120 --> 0:16:04.520
<v Speaker 1>market clearing price, and then you see the price data

0:16:04.560 --> 0:16:08.240
<v Speaker 1>actually um adjust. So but but what what's interesting on

0:16:08.280 --> 0:16:12.000
<v Speaker 1>the rent side is that you could see in theory,

0:16:12.200 --> 0:16:14.640
<v Speaker 1>you know, landlords across the boards, they look we're going

0:16:14.680 --> 0:16:17.640
<v Speaker 1>to give a reduction in in in rent very quickly.

0:16:17.640 --> 0:16:21.040
<v Speaker 1>Given the unprecedented nature of this shock. UM, you've seen

0:16:21.040 --> 0:16:24.160
<v Speaker 1>a number of nfc s trying to push for mandated

0:16:24.560 --> 0:16:26.680
<v Speaker 1>you know, rent reductions at least for a period of

0:16:26.720 --> 0:16:31.000
<v Speaker 1>time to ease the burden UM on individuals. So it depends.

0:16:31.040 --> 0:16:33.440
<v Speaker 1>I mean, I think given the unprecedented nature of the shock,

0:16:33.560 --> 0:16:37.320
<v Speaker 1>you could see a faster reduction perhaps UM in the

0:16:37.400 --> 0:16:40.560
<v Speaker 1>cost of living UM, given how much income has been reduced.

0:16:40.560 --> 0:16:44.120
<v Speaker 1>But typically UM rent and home praises tend to lack.

0:16:44.240 --> 0:16:47.040
<v Speaker 1>You first need to see the move in terms of transactions,

0:16:47.480 --> 0:16:51.120
<v Speaker 1>and then you see it in terms of the price variable. Michell,

0:16:51.160 --> 0:16:53.200
<v Speaker 1>there's a lot of people really struggling in this moment.

0:16:53.480 --> 0:16:56.560
<v Speaker 1>You know that everybody listening in this very moment knows that.

0:16:56.640 --> 0:16:58.320
<v Speaker 1>And I'm just wondering if this anything else we can

0:16:58.360 --> 0:17:01.040
<v Speaker 1>do on the policy side to help. Is there anything left?

0:17:02.360 --> 0:17:05.120
<v Speaker 1>I do think that there's more that probably will be done.

0:17:05.160 --> 0:17:08.840
<v Speaker 1>I mean, the response has been aggressive, it's been targeted UM,

0:17:09.000 --> 0:17:11.359
<v Speaker 1>but there are, naturally, you know, some frictions you know

0:17:11.520 --> 0:17:15.359
<v Speaker 1>there the clock is ticking, particularly when it comes to

0:17:15.359 --> 0:17:17.920
<v Speaker 1>small businesses who are forced to cut workers as we're

0:17:17.880 --> 0:17:20.159
<v Speaker 1>seeing this morning. UM. So the quicker that funds will

0:17:20.200 --> 0:17:22.639
<v Speaker 1>be distributed better. Now it's a really hard thing to

0:17:22.680 --> 0:17:24.280
<v Speaker 1>do is to turn around and all of a sudden

0:17:24.359 --> 0:17:25.760
<v Speaker 1>get all the money to where it needs to go.

0:17:25.800 --> 0:17:28.320
<v Speaker 1>In the private sector, it's not an easy task. And

0:17:28.400 --> 0:17:32.000
<v Speaker 1>naturally there's going to be some operational challenges and and

0:17:32.000 --> 0:17:34.639
<v Speaker 1>and issues there, which is what what what looks to

0:17:34.640 --> 0:17:38.159
<v Speaker 1>be happening to some extent, But UM I suspect we

0:17:38.160 --> 0:17:41.560
<v Speaker 1>will see additional funds be allocated, so they're likely will

0:17:41.600 --> 0:17:44.320
<v Speaker 1>be another round of stimulus, probably in pretty short order.

0:17:45.000 --> 0:17:48.440
<v Speaker 1>UM targeting smaller meme sized businesses and trying to create

0:17:48.480 --> 0:17:52.879
<v Speaker 1>the ray incentives to keep their workers on the books. Michelle, this,

0:17:53.080 --> 0:17:56.200
<v Speaker 1>these numbers are brutal. They're really really depressing to see

0:17:56.280 --> 0:17:59.480
<v Speaker 1>this scope of Americans lose their jobs and frankly, people

0:17:59.520 --> 0:18:02.200
<v Speaker 1>worldwide I'd lose their jobs. And yet we're looking at

0:18:02.359 --> 0:18:05.960
<v Speaker 1>SMP futures that are up a half percent there, Uh,

0:18:06.040 --> 0:18:09.959
<v Speaker 1>they actually climbed after this data came out. Can you

0:18:10.040 --> 0:18:15.080
<v Speaker 1>look to any positive economic developments that could be edifying

0:18:15.320 --> 0:18:17.800
<v Speaker 1>the sort of positive sentiment that we're seeing bleed out

0:18:18.080 --> 0:18:21.600
<v Speaker 1>in stocks today? So there's always a question what's priced

0:18:21.640 --> 0:18:26.600
<v Speaker 1>in UM and I think. You know, presumably very weak

0:18:26.680 --> 0:18:29.080
<v Speaker 1>data has been priced in, right, there's an awareness that

0:18:30.080 --> 0:18:34.480
<v Speaker 1>UM with a shutdowns being enforced, you're going to see

0:18:34.480 --> 0:18:36.960
<v Speaker 1>these level sets down in the data, which is exactly

0:18:37.000 --> 0:18:40.439
<v Speaker 1>what's coming through UM. But no, obviously the data on

0:18:40.480 --> 0:18:43.720
<v Speaker 1>the headline is absolutely UM is absolutely stunning in terms

0:18:43.720 --> 0:18:47.119
<v Speaker 1>of its degree of weakness. UM. The other thing probably

0:18:47.200 --> 0:18:50.400
<v Speaker 1>driving Marcus presumably is what we just talked about around stimulus.

0:18:50.400 --> 0:18:52.920
<v Speaker 1>You know, how much of an offset will there be? Uh?

0:18:52.960 --> 0:18:55.880
<v Speaker 1>There seems to be a large willingness from the policy

0:18:55.960 --> 0:18:59.240
<v Speaker 1>side to try to counter the weakness in the private

0:18:59.240 --> 0:19:03.000
<v Speaker 1>economy and try to upset the shock from the COVID pandemic.

0:19:03.119 --> 0:19:05.480
<v Speaker 1>So you know, I would imagine investors there as a

0:19:05.520 --> 0:19:07.440
<v Speaker 1>paying very close attention to that as well. What have

0:19:07.560 --> 0:19:09.359
<v Speaker 1>the degree of stimulus and how that bleeds into the

0:19:09.359 --> 0:19:12.520
<v Speaker 1>broader co Michelle quite to get your thoughts as always.

0:19:12.600 --> 0:19:26.000
<v Speaker 1>Michelle Meither of Thank America Internet of Trades joins with

0:19:26.160 --> 0:19:30.480
<v Speaker 1>Data Partners. I can't keep track, Henrietta the alphabet soup,

0:19:31.000 --> 0:19:35.320
<v Speaker 1>but one big small business pot has already been used up.

0:19:35.840 --> 0:19:38.639
<v Speaker 1>Is anybody in Washington aware that is a percent of

0:19:38.720 --> 0:19:42.000
<v Speaker 1>g d P there a third or maybe halfway to

0:19:42.040 --> 0:19:45.840
<v Speaker 1>where they're going to go. It's interesting. I think that

0:19:45.920 --> 0:19:49.920
<v Speaker 1>they are aware of that, but they are slowly being

0:19:50.400 --> 0:19:53.000
<v Speaker 1>becoming more comfortable with making it take as long as

0:19:53.040 --> 0:19:55.320
<v Speaker 1>possible to get each of these stimulus bills out, so

0:19:55.320 --> 0:19:58.080
<v Speaker 1>that the complicated way of saying, they get it, and

0:19:58.119 --> 0:20:00.919
<v Speaker 1>they know that there's more stimulus coming. Fourth bill, a

0:20:00.920 --> 0:20:03.639
<v Speaker 1>fifth bill, a sixth bill. But I've been tracking the

0:20:03.680 --> 0:20:05.760
<v Speaker 1>duration of time it takes them to agree to these

0:20:05.800 --> 0:20:08.800
<v Speaker 1>pieces of legislation, the first three and now three point five,

0:20:08.840 --> 0:20:11.680
<v Speaker 1>which hopefully we'll get by the end of this weekend. Um,

0:20:11.680 --> 0:20:13.760
<v Speaker 1>and it keeps taking them just a little bit longer

0:20:13.800 --> 0:20:16.680
<v Speaker 1>each time. So they're comfortable with the spending, but they're

0:20:16.720 --> 0:20:19.800
<v Speaker 1>getting more dug in politically about what points they want

0:20:19.840 --> 0:20:22.480
<v Speaker 1>to make. UM. Whether they sense any kind of urgency,

0:20:22.520 --> 0:20:24.480
<v Speaker 1>they it's almost like they know it's coming, so they're

0:20:24.520 --> 0:20:27.360
<v Speaker 1>willing to take it slow. Do you sense urgency at

0:20:27.359 --> 0:20:32.080
<v Speaker 1>the moment um? I don't sense urgency right now. No,

0:20:32.560 --> 0:20:35.200
<v Speaker 1>And I think that Treasury sec Reminution tried to create

0:20:35.240 --> 0:20:38.360
<v Speaker 1>some urgency starting last Wednesday, and now here we are

0:20:39.359 --> 0:20:41.280
<v Speaker 1>more than a week later, and we still don't even

0:20:41.320 --> 0:20:45.160
<v Speaker 1>have this urgent stimulus to the point five bill. UM.

0:20:45.200 --> 0:20:47.400
<v Speaker 1>I think Republicans are trying to make a political point

0:20:47.440 --> 0:20:50.960
<v Speaker 1>in the Senate, and Democrats still are the minority in

0:20:51.000 --> 0:20:53.960
<v Speaker 1>the House, so eventually you're gonna have to have partisan,

0:20:54.520 --> 0:20:57.320
<v Speaker 1>bipartisan conversation, and they're just not doing that at this

0:20:57.440 --> 0:21:00.920
<v Speaker 1>time despite the urgent calls from Treasury. So ultimately we'll

0:21:00.920 --> 0:21:02.960
<v Speaker 1>get this money spent. I think the three point five

0:21:03.000 --> 0:21:06.120
<v Speaker 1>bill will be about five billion dollars, and then the

0:21:06.119 --> 0:21:09.160
<v Speaker 1>fourth stimulus bill could easily get you into the one

0:21:09.160 --> 0:21:12.080
<v Speaker 1>point five to two trillion dollar package. They're seeing this

0:21:12.160 --> 0:21:14.920
<v Speaker 1>macro data come in. They know it's a horror show

0:21:14.960 --> 0:21:19.160
<v Speaker 1>out there, and there are still political games being played. Um,

0:21:19.280 --> 0:21:21.480
<v Speaker 1>and that decondo a sense that they know it's coming,

0:21:21.520 --> 0:21:23.520
<v Speaker 1>but it's not urgent. And we have said that's shocking

0:21:23.600 --> 0:21:25.919
<v Speaker 1>to me that in nine minutes time will have another

0:21:26.119 --> 0:21:29.720
<v Speaker 1>ugly jobless claims print. And for someone like yourself who

0:21:29.720 --> 0:21:32.359
<v Speaker 1>has to read the room in Washington and you don't

0:21:32.400 --> 0:21:36.080
<v Speaker 1>sense urgency, I mean, how disappointing is that, in a

0:21:36.160 --> 0:21:38.360
<v Speaker 1>moment like this that you don't sense that at all.

0:21:39.400 --> 0:21:42.200
<v Speaker 1>It's it's really painful. It hurts my feelings. If we're

0:21:42.200 --> 0:21:44.840
<v Speaker 1>being honest. I mean, there are some staff who are

0:21:44.920 --> 0:21:48.199
<v Speaker 1>deeply entrenched in this and understand the daily goings on

0:21:48.200 --> 0:21:51.200
<v Speaker 1>on the market, but that is not the norm. Um.

0:21:51.200 --> 0:21:54.560
<v Speaker 1>And you also have you also have the problem of

0:21:54.680 --> 0:21:56.919
<v Speaker 1>having these members spread across the nation, you know, so

0:21:57.080 --> 0:22:00.760
<v Speaker 1>not physically in DC capable of generating a momentum for

0:22:00.840 --> 0:22:04.840
<v Speaker 1>passing any specific legislation. So UM, I think we're seeing

0:22:04.880 --> 0:22:07.200
<v Speaker 1>that really play out. And while the President keeps holding

0:22:07.240 --> 0:22:10.600
<v Speaker 1>these daily press briefings, Um, it's almost like no one

0:22:10.600 --> 0:22:12.560
<v Speaker 1>can get a word in edgewise because she sort of

0:22:12.560 --> 0:22:14.320
<v Speaker 1>sucks the acute out of the room, So nobody is

0:22:14.359 --> 0:22:16.560
<v Speaker 1>able to make their individual political points even if they

0:22:16.560 --> 0:22:19.080
<v Speaker 1>wanted to. Let's let's take a little bit deeper into

0:22:19.119 --> 0:22:23.479
<v Speaker 1>the urgency of this. We've seen figures that of the

0:22:23.640 --> 0:22:28.200
<v Speaker 1>Small Business Business Administration lending facility has been already extended,

0:22:28.240 --> 0:22:30.760
<v Speaker 1>it has not been delivered yet, the cash not necessarily

0:22:30.880 --> 0:22:33.800
<v Speaker 1>in the hands of the businesses, but promised out. Now

0:22:34.000 --> 0:22:37.560
<v Speaker 1>there's another wave of funding being requested from even smaller businesses.

0:22:37.920 --> 0:22:41.159
<v Speaker 1>How urgent is it that Congress re ups the amount

0:22:41.200 --> 0:22:43.600
<v Speaker 1>of money to this program in order to stave off

0:22:43.600 --> 0:22:47.200
<v Speaker 1>another round of bankruptcies. I think that's exactly the question.

0:22:47.320 --> 0:22:50.360
<v Speaker 1>We don't have any oversight er data about what Treasury

0:22:50.440 --> 0:22:53.680
<v Speaker 1>is doing, who's getting these loans, how effective it's been,

0:22:53.720 --> 0:22:56.960
<v Speaker 1>its stemming payroll cuts, UM, and I think a lot

0:22:57.000 --> 0:22:59.440
<v Speaker 1>of members want that information and they want to see

0:22:59.440 --> 0:23:01.320
<v Speaker 1>it roll out. What the Democrats are trying to do

0:23:01.440 --> 0:23:06.520
<v Speaker 1>is not necessarily delay the PPP from being replenished, but

0:23:06.560 --> 0:23:10.320
<v Speaker 1>they want to steer the funding into specific baskets, which

0:23:10.359 --> 0:23:13.600
<v Speaker 1>members like Marco Rubio have an issue with. So, for instance,

0:23:13.640 --> 0:23:16.679
<v Speaker 1>if you can't oversee exactly who's getting these loans and

0:23:16.720 --> 0:23:18.399
<v Speaker 1>you don't know if it's really reaching the hands of

0:23:18.400 --> 0:23:20.119
<v Speaker 1>the folks who need it, what you can do is

0:23:20.160 --> 0:23:22.520
<v Speaker 1>you can streamline and say, all right, we want, you know,

0:23:22.520 --> 0:23:24.960
<v Speaker 1>a hundred and fifty billion dollars this money directly to

0:23:25.000 --> 0:23:29.840
<v Speaker 1>go to businesses with fewer than five people UM in

0:23:30.040 --> 0:23:34.520
<v Speaker 1>specific locations, UM, minority owned, women owned, you know, kind

0:23:34.520 --> 0:23:36.680
<v Speaker 1>of try to direct it in that regard. And that's

0:23:36.680 --> 0:23:40.199
<v Speaker 1>what Democrats have tried to put into their pieces of legislation.

0:23:40.280 --> 0:23:43.479
<v Speaker 1>But the Republicans are essentially saying, look, we just need

0:23:43.520 --> 0:23:44.840
<v Speaker 1>to get this money out there, and we don't have

0:23:44.880 --> 0:23:47.119
<v Speaker 1>time for these games. Let's just put the money in

0:23:47.160 --> 0:23:50.040
<v Speaker 1>this basket and get it spent um. So it's it's

0:23:50.040 --> 0:23:54.119
<v Speaker 1>a competing view of how to control where this money

0:23:54.359 --> 0:23:58.159
<v Speaker 1>is delivered and how effectively it's used. And when you

0:23:58.200 --> 0:24:00.960
<v Speaker 1>see the Fed and Treasury can saying we're just trying

0:24:01.000 --> 0:24:03.480
<v Speaker 1>to shovel money out the door right now, it's really

0:24:03.480 --> 0:24:06.920
<v Speaker 1>difficult to exert oversight in a specific time of crisis.

0:24:06.960 --> 0:24:09.440
<v Speaker 1>That should really come later, and it will. Is there

0:24:09.440 --> 0:24:11.640
<v Speaker 1>more urgency with respect to coming up with a plan

0:24:11.720 --> 0:24:16.639
<v Speaker 1>to reopen the economy. The plan to reopen the economy

0:24:16.960 --> 0:24:21.000
<v Speaker 1>is really just a mess um, if we're being honest.

0:24:21.200 --> 0:24:24.879
<v Speaker 1>There is a really haphazard effort going on at the

0:24:24.920 --> 0:24:28.240
<v Speaker 1>administration level, and almost nothing in that main going on

0:24:28.280 --> 0:24:30.760
<v Speaker 1>to bet the House or the Senate. Obviously, we have

0:24:30.880 --> 0:24:33.480
<v Speaker 1>some select governors who are in states you've been deeply

0:24:33.560 --> 0:24:36.000
<v Speaker 1>hit and are trying to coordinate amongst each other to

0:24:36.160 --> 0:24:40.119
<v Speaker 1>try to bring their states out of this shutdown. But

0:24:40.240 --> 0:24:44.320
<v Speaker 1>the administration is creating a situation where people have different

0:24:44.400 --> 0:24:46.880
<v Speaker 1>senses of different dates. So May first is the thing,

0:24:47.000 --> 0:24:49.400
<v Speaker 1>May seventh is a thing. Jam onest is the thing.

0:24:49.440 --> 0:24:53.399
<v Speaker 1>There's no cohesion and the you know, quote unquote opening

0:24:53.400 --> 0:24:58.040
<v Speaker 1>our city Council that the administration has been um, you know,

0:24:58.080 --> 0:25:00.920
<v Speaker 1>sort of dangling in front of us. How as no members,

0:25:01.280 --> 0:25:04.000
<v Speaker 1>It has no concrete plan, it is not unified. A

0:25:04.640 --> 0:25:08.160
<v Speaker 1>most importantly, it has nothing to do um with providing

0:25:08.200 --> 0:25:10.280
<v Speaker 1>testing to the extent that we need. You know, no

0:25:10.440 --> 0:25:12.200
<v Speaker 1>state has been able to test one in two point

0:25:12.240 --> 0:25:14.679
<v Speaker 1>seven of its population. That's just not going to cut it.

0:25:15.160 --> 0:25:16.760
<v Speaker 1>You know, if you're President Trump and you can walk

0:25:16.800 --> 0:25:20.240
<v Speaker 1>down to that and you shoot somebody, that's different. Henrietta,

0:25:20.400 --> 0:25:23.119
<v Speaker 1>that's the statistical theday. Thank you for bringing us that

0:25:23.240 --> 0:25:27.160
<v Speaker 1>wisdom of under three percent testing right now. Certainly that's

0:25:27.200 --> 0:25:32.000
<v Speaker 1>what everyone's talking about this Thursday morning. Henrietta trace with

0:25:32.119 --> 0:25:46.120
<v Speaker 1>Veta Partners. Well, in the United States we have Uber

0:25:46.280 --> 0:25:49.399
<v Speaker 1>we have left for our rides sharing. In China, they

0:25:49.440 --> 0:25:52.240
<v Speaker 1>have a company by the name of d D. David

0:25:52.280 --> 0:25:56.199
<v Speaker 1>Rubinstein Carlisle co chairman, sat down with the president of

0:25:56.320 --> 0:25:58.840
<v Speaker 1>d D and part of his latest peer to peer conversations,

0:25:58.920 --> 0:26:02.840
<v Speaker 1>let's take a listen. Uber is now publicly traded and

0:26:02.920 --> 0:26:05.720
<v Speaker 1>it's losing a fair amount of money every year, a

0:26:05.760 --> 0:26:09.840
<v Speaker 1>billion dollars plus a year or something like that or more. Um,

0:26:10.240 --> 0:26:12.480
<v Speaker 1>are you thinking of going public and are you losing

0:26:12.520 --> 0:26:16.439
<v Speaker 1>money or are you making money? Well, um, we do

0:26:16.560 --> 0:26:19.040
<v Speaker 1>have a specific type of timetable has put it that

0:26:19.080 --> 0:26:21.920
<v Speaker 1>way and back to the upper point. I'm sure it's

0:26:21.920 --> 0:26:24.320
<v Speaker 1>temporary and they would go through it. There is very

0:26:24.320 --> 0:26:28.359
<v Speaker 1>diligent CEO and a very experience for us. We think

0:26:28.760 --> 0:26:32.840
<v Speaker 1>profitability is natural result of the value usually create. And

0:26:32.880 --> 0:26:35.199
<v Speaker 1>there are two things in China very different from the

0:26:35.240 --> 0:26:39.720
<v Speaker 1>other market. First, the right share is cheaper than car ownership,

0:26:40.240 --> 0:26:43.800
<v Speaker 1>so that's the huge value creation you provide to your users.

0:26:44.119 --> 0:26:48.560
<v Speaker 1>And secondly, in China we're going through a transition that people,

0:26:49.600 --> 0:26:53.439
<v Speaker 1>you know, people urged for better life quality, better lives.

0:26:54.760 --> 0:26:58.080
<v Speaker 1>Jean Lou of d D. David Rubinstein joins us SNOW

0:26:58.640 --> 0:27:01.080
<v Speaker 1>and of course he's pure to pure. Conversations are just

0:27:01.240 --> 0:27:06.119
<v Speaker 1>superb and they're always names we know, except not now, David.

0:27:06.160 --> 0:27:09.560
<v Speaker 1>I want you to sell miss Lou to our audience.

0:27:09.720 --> 0:27:13.960
<v Speaker 1>Why do we care about this interesting investor from China.

0:27:14.920 --> 0:27:17.959
<v Speaker 1>It's a very interesting woman. She's educated in China. Her

0:27:18.000 --> 0:27:21.080
<v Speaker 1>father is a prominent business person. He he started Lenovo,

0:27:21.119 --> 0:27:24.639
<v Speaker 1>which is a major computer factor. She later went to

0:27:24.680 --> 0:27:26.919
<v Speaker 1>Harvard got a computer science degree and then did what

0:27:27.000 --> 0:27:29.800
<v Speaker 1>many Chinese educated United States do. They went to work

0:27:29.840 --> 0:27:32.000
<v Speaker 1>in Wall Street. She went to work for Goldman Sachs

0:27:32.119 --> 0:27:35.320
<v Speaker 1>in in Hong Kong and um she became an investor

0:27:35.359 --> 0:27:37.240
<v Speaker 1>and she wanted to invest in a company called d

0:27:37.359 --> 0:27:39.960
<v Speaker 1>D and they wouldn't take her money Goldman sachses money.

0:27:40.240 --> 0:27:43.000
<v Speaker 1>Eventually she said, let me just join the company. She did.

0:27:43.119 --> 0:27:45.360
<v Speaker 1>Now she rose up to be the president. We think

0:27:45.400 --> 0:27:47.000
<v Speaker 1>in the United States that were the center of the

0:27:47.080 --> 0:27:50.680
<v Speaker 1>universe very often. But d D is bigger than Uber. Now.

0:27:50.760 --> 0:27:53.240
<v Speaker 1>D D is not publicly traded, so we don't know

0:27:53.320 --> 0:27:56.800
<v Speaker 1>completely the value. But it has more customers than Uber does,

0:27:57.119 --> 0:28:00.640
<v Speaker 1>and it just has a bigger base than than Uber does.

0:28:00.680 --> 0:28:04.119
<v Speaker 1>Get people there. That scream you heard last night, uh

0:28:04.359 --> 0:28:08.000
<v Speaker 1>David Rubinstein was Paul Sweeney screaming at Uber left or

0:28:08.000 --> 0:28:10.359
<v Speaker 1>one of them in New Jersey as well. What's the

0:28:10.440 --> 0:28:15.520
<v Speaker 1>ability to bring d D over to America. Well, interestingly,

0:28:15.560 --> 0:28:18.159
<v Speaker 1>many of the Chinese companies that are the dominant in

0:28:18.240 --> 0:28:20.320
<v Speaker 1>China don't really do that well in the United States

0:28:20.359 --> 0:28:23.080
<v Speaker 1>are having become major presences here. So like Ali Bob

0:28:23.160 --> 0:28:25.560
<v Speaker 1>was not a major presence here, at least not yet.

0:28:25.880 --> 0:28:29.000
<v Speaker 1>Uh d D actually is owned in part by Huber.

0:28:29.119 --> 0:28:30.919
<v Speaker 1>Uber is an investorent at Uber tried to be a

0:28:30.960 --> 0:28:34.000
<v Speaker 1>major presence in China and ultimately couldn't beat d D,

0:28:34.200 --> 0:28:36.840
<v Speaker 1>so it basically invested in d D. A d D

0:28:37.119 --> 0:28:39.840
<v Speaker 1>is uh is really the dominant partner there and Uber

0:28:39.880 --> 0:28:42.080
<v Speaker 1>will not really compete in China with him. Whether d

0:28:42.160 --> 0:28:44.000
<v Speaker 1>D will come to the United States, I think right

0:28:44.000 --> 0:28:46.920
<v Speaker 1>now probably they've got their hands full with China. So, David,

0:28:47.080 --> 0:28:49.520
<v Speaker 1>what did ms lou suggest to you, as you know

0:28:49.600 --> 0:28:54.000
<v Speaker 1>the key challenge for continuing the growth of d D. Well,

0:28:54.040 --> 0:28:56.800
<v Speaker 1>of course this was done before the coronavirus. The interview

0:28:56.880 --> 0:28:59.640
<v Speaker 1>was done a little while ago. Um, now everybody has

0:28:59.680 --> 0:29:01.760
<v Speaker 1>the channel. Is that nobody's traveling though though China is

0:29:01.800 --> 0:29:06.440
<v Speaker 1>coming back online and therefore China is um more using

0:29:06.480 --> 0:29:09.360
<v Speaker 1>these kind of divide these kind of things than they

0:29:09.400 --> 0:29:11.200
<v Speaker 1>are in the United States right now because people are

0:29:11.240 --> 0:29:12.960
<v Speaker 1>going back to work. So it's not like the United

0:29:12.960 --> 0:29:16.160
<v Speaker 1>States where nobody's traveling. D D basically is a company

0:29:16.200 --> 0:29:19.480
<v Speaker 1>like Ali Baba, which has become a major presence in China.

0:29:19.720 --> 0:29:22.720
<v Speaker 1>Everybody knows it, everybody likes it. And interestingly, what she

0:29:22.800 --> 0:29:25.480
<v Speaker 1>does very often is she drives the car herself. She

0:29:25.560 --> 0:29:27.880
<v Speaker 1>wants to see what our customers are thinking. So she

0:29:28.040 --> 0:29:31.000
<v Speaker 1>drives the car and very often, uh, you know, she

0:29:31.040 --> 0:29:32.960
<v Speaker 1>gets comments from people saying, you're not a very good driver,

0:29:33.000 --> 0:29:34.800
<v Speaker 1>I'm gonna report you to the company or something like that,

0:29:34.920 --> 0:29:38.400
<v Speaker 1>or sometimes people say she's very good. So what's what's

0:29:38.440 --> 0:29:41.600
<v Speaker 1>the competitive landscape in China for the ride sharing business?

0:29:41.600 --> 0:29:43.400
<v Speaker 1>Here in the States, We've got Uber, We've got Liver

0:29:43.880 --> 0:29:47.280
<v Speaker 1>duking it out. When this when when they started, when

0:29:47.400 --> 0:29:49.840
<v Speaker 1>he was started in China, there were roughly thirty of

0:29:49.880 --> 0:29:51.840
<v Speaker 1>these companies and in the end they got down to

0:29:51.920 --> 0:29:54.200
<v Speaker 1>it just a few and d D is the dominant

0:29:54.200 --> 0:29:56.960
<v Speaker 1>one there, just says Uber Withlift or the two dominant

0:29:56.960 --> 0:29:59.720
<v Speaker 1>ones here. Um, but DD has a much bigger presence

0:29:59.760 --> 0:30:01.800
<v Speaker 1>than Huber really has in the United States. It's much

0:30:01.840 --> 0:30:04.800
<v Speaker 1>more dominant and many more customers. And I just think

0:30:04.840 --> 0:30:07.440
<v Speaker 1>it's likely to expand in the other areas. And it's

0:30:07.520 --> 0:30:10.320
<v Speaker 1>it's it's extremely well respected for their service and their

0:30:10.360 --> 0:30:13.520
<v Speaker 1>their ability to kind of take care of customers various needs.

0:30:14.760 --> 0:30:17.640
<v Speaker 1>David Rubinstein, thank you so much, greatly appreciated the Carlisle

0:30:17.680 --> 0:30:21.200
<v Speaker 1>Cole Chairman and of course UH interviewer extraordinaire. I can't

0:30:21.200 --> 0:30:23.640
<v Speaker 1>say enough folks about the David Rubinstein Show. Peer to

0:30:23.760 --> 0:30:29.720
<v Speaker 1>Peer Conversation, seven pm Friday in New York. Thanks for

0:30:29.840 --> 0:30:34.200
<v Speaker 1>listening to the Bloomberg Surveillance podcast. Subscribe and listen to

0:30:34.360 --> 0:30:40.120
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0:30:40.680 --> 0:30:44.000
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0:30:44.040 --> 0:31:00.480
<v Speaker 1>can always catch us worldwide. I'm Bloomberg Radio