WEBVTT - Surveillance: China Growth May Be Flat, Kasman Says

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<v Speaker 1>Welcome to the Bloomberg Surveillance Podcast. I'm Tom Keene Jay Lee.

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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 Let's

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<v Speaker 1>bring in the guest of the Morning Show. We Bruce Castman,

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<v Speaker 1>JP Morgan, Chief Economist and Money to Bruce the morning.

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<v Speaker 1>For the markets, investors have been focusing on the likely

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<v Speaker 1>stimulus response coming out of China. It's just easy to

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<v Speaker 1>get your hands around the possible fallout from the containment effort.

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<v Speaker 1>Much harder the process. What's your base case at the moment? Well,

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<v Speaker 1>the base case here is that we have a huge

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<v Speaker 1>disruption that's very narrowly based in China and a few

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<v Speaker 1>other countries. In the month of February and in the

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<v Speaker 1>first quarter, we have Chinese growth getting down to want

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<v Speaker 1>it could even be flat on the quarter. Sequentially, global

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<v Speaker 1>growth gets down to the lowest level we've seen since

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<v Speaker 1>the global financial crisis. But the effects on the U

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<v Speaker 1>S and Western Europe are pretty small, and they're not

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<v Speaker 1>one way. Remember that Chinese demand coming down also lowers

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<v Speaker 1>global energy prices at lowers global interest rates, which actually

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<v Speaker 1>is a plus for consumers in the UH in the West. UM.

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<v Speaker 1>But the bottom line, I think is that this is

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<v Speaker 1>going to be extremely disruptive, but it is not going

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<v Speaker 1>to derail what we will actually believe is a pretty

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<v Speaker 1>positive story for the global economy. In let's get some numbers, Bruce,

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<v Speaker 1>Q one, what is it at in China? UH sequentially

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<v Speaker 1>about one percent? Q two nine and a half percent.

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<v Speaker 1>That's a massive v That's a massive be All you

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<v Speaker 1>really need is that by the time we're sitting here

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<v Speaker 1>at the end of March, the virus is starting to

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<v Speaker 1>fade and produces are starting to make up the lost

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<v Speaker 1>output that they had in the month of February in

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<v Speaker 1>early March. That's that's the way it happened after Tohoku.

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<v Speaker 1>That's the way it happened after Stars. You just have

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<v Speaker 1>to believe, and this is the real call, is that

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<v Speaker 1>this doesn't spread and become a global event over the

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<v Speaker 1>next two Have you ever seen that in your study

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<v Speaker 1>your Puch Columbia where you go from one to nine

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<v Speaker 1>in a hundred days. We see it all the time.

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<v Speaker 1>Whenever you have this, Usually it's not on a macro basis.

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<v Speaker 1>But you see these events where you have storms, where

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<v Speaker 1>you have shocks. We have a couple of weeks down

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<v Speaker 1>and then a quick rebound. It's like Whenlan wins, I

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<v Speaker 1>mean the Italian economy shifts. I'm not sure we rebound.

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<v Speaker 1>I will say there is a question also how much

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<v Speaker 1>this rebound is predicated on more stimulus from central banks. Um,

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<v Speaker 1>it's not predicated on more stimulus, but we might get

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<v Speaker 1>some more stimulus. It is predicated on the idea that

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<v Speaker 1>the Chinese government comes in here and prevents any credit

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<v Speaker 1>problems coming from the disruption, and that they continue to

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<v Speaker 1>provide stimulus. But that's more of an issue around growth

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<v Speaker 1>in the second half of the year. Which you really

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<v Speaker 1>just need is for factories to open up and people

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<v Speaker 1>to start moving around again in the month of March.

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<v Speaker 1>Not now, but as we look over the next four

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<v Speaker 1>to six weeks, we have to be comfortable that things

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<v Speaker 1>start to get more normal and you comfortable. I'm not

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<v Speaker 1>as comfortable as I'd like to be, and I don't

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<v Speaker 1>want to ignore the downside risk here. I think what

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<v Speaker 1>you have in the market is a small but very

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<v Speaker 1>dangerous risk factor that things turn out to be unprecedented

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<v Speaker 1>in terms of how it plays out. John, this is

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<v Speaker 1>what I'm struggling with. It's one thing for industrial production

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<v Speaker 1>to come back, It's another thing for services. It's another

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<v Speaker 1>thing for the Starbucks stores that are closed. I don't

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<v Speaker 1>understand from that perspective, Bruce, how we get how we

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<v Speaker 1>compensate for those lost business opportunities. We don't compensate for it.

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<v Speaker 1>We gradually recover. And remember, in growth terms, going from

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<v Speaker 1>having a factory shut down to a factory operating at

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<v Speaker 1>seventy or having a Starbucks shut down to a Starbucks

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<v Speaker 1>opening but still having fifty or six of the of

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<v Speaker 1>the flow is a big change in growth. And I

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<v Speaker 1>want to emphasize this. We we live in a world

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<v Speaker 1>where we talk about growth, but the level of activity

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<v Speaker 1>is going to be lower than it would have been

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<v Speaker 1>probably all the way through the end of the year

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<v Speaker 1>in China, and very small amount though on the global basis.

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<v Speaker 1>We're coming with Europe not Quants was struggling. If you're

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<v Speaker 1>looking for one percent out of China in Q one

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<v Speaker 1>and you have a European economy nest stole speed, yeah,

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<v Speaker 1>do you get a v shak recovery in Europe? Well,

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<v Speaker 1>I wouldn't call the European recovery v shape because I

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<v Speaker 1>don't think Europe is going to get hit by the

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<v Speaker 1>same disruptive effect. But I actually think what we're missing

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<v Speaker 1>is we're watching the weak data in Europe. Is that

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<v Speaker 1>the idiosyncratic drags that have hit the UK have hit

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<v Speaker 1>Germany around the global drag from trade conflicts fading is

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<v Speaker 1>I think setting us up for Europe being the biggest

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<v Speaker 1>surprise to the upside Europe. Swiss this morning, Tom, lowest

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<v Speaker 1>level since the Swissies ripping the Euros breaking down, Bruce,

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<v Speaker 1>what is the quantitative linkage of all these economies if

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<v Speaker 1>you're having a beverage of your choice with Vice German

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<v Speaker 1>Clarada or with Sherman Powell? What are the linkages of

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<v Speaker 1>Mercedes Benz flat on its back in Germany versus You

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<v Speaker 1>know that we're hearing reports of the chance of the

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<v Speaker 1>exchequer stepping aside? Is that right, John? Yeah, we're just

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<v Speaker 1>getting that confirmed. I mean, the challenge, the resigning tone,

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<v Speaker 1>the cacophony of the news out there. How linked does

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<v Speaker 1>all this or is it really idiosyncratic? Well? I think

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<v Speaker 1>the the way to look at what happened in two

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<v Speaker 1>thousand and nineteen is we had a set of country

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<v Speaker 1>specific factors and hitting in Europe around the global story

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<v Speaker 1>around US China trade. And now what we think we're

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<v Speaker 1>seeing is that global shock begin to fade. And we're

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<v Speaker 1>also believing that the Brexit shock, along with you, okay,

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<v Speaker 1>fiscal stimulus, the German auto industry shock, which has proved

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<v Speaker 1>to push German inventories to super low levels, is going

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<v Speaker 1>to be coming together to provide some fuel on the

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<v Speaker 1>issue of China. And I think this is really important.

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<v Speaker 1>The difference between having factory shut down for three or

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<v Speaker 1>four weeks and three or four months is huge. The

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<v Speaker 1>supply chain can handle two or three weeks without a

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<v Speaker 1>serious disruption, but if you extend this out for a

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<v Speaker 1>few months, then the world looks very different and the

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<v Speaker 1>dynamics of spillovers begin to come much more serious. You

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<v Speaker 1>guys still the cost house out of China this morning

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<v Speaker 1>down for the month of January, and the association that

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<v Speaker 1>puts these numbers together looking for another drop of thirty

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<v Speaker 1>sent in the month of February, biggest drop ever for

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<v Speaker 1>the month of January. And this is exactly where my

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<v Speaker 1>mind when which is the question is how does this

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<v Speaker 1>bleed over into Germany? How does this bleed over into

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<v Speaker 1>global auto demand? But here's the point, We're gonna start

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<v Speaker 1>to see data coming in for January and February, and

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<v Speaker 1>particularly February, it's gonna look horrible. And then the real

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<v Speaker 1>question is how much does it bounce back in March.

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<v Speaker 1>If you're a German producer and you think the Chinese

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<v Speaker 1>sales pullback is about the virus and it's gonna last

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<v Speaker 1>four or five weeks, you don't stop production, You build

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<v Speaker 1>inventories for that period and you continue more normally. The

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<v Speaker 1>question isn't going to be coming back to normal relatively

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<v Speaker 1>quickly for something drowning and happy? This week we've had

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<v Speaker 1>three major bulls in the bull market. You're coming in,

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<v Speaker 1>you're happy on a lift as well. I got Valentine's

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<v Speaker 1>to day to small, So I'm ready to fall off

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<v Speaker 1>a cliff into negativity. Okay, help me here. How does

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<v Speaker 1>David Kelly and others at JP Morgan, how do they

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<v Speaker 1>take your optimism and bring it over to markets? Can

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<v Speaker 1>you link Chasman optimism twelve months out into market optimism? Yeah?

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<v Speaker 1>I think are sure? I think we have to obviously

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<v Speaker 1>price in that risk, and we don't ignore that small risk.

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<v Speaker 1>But I think if you're sitting as an investor and

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<v Speaker 1>you think that as I do, by the time we're

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<v Speaker 1>sitting here in June and July, we're not going to

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<v Speaker 1>be talking about viruses, but we're gonna be talking about

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<v Speaker 1>lifting the global economy, then risky acids are gonna do

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<v Speaker 1>relatively well, and we're gonna be watching the world pick

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<v Speaker 1>up in a broad based way. And that's as a

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<v Speaker 1>relatively simple but it's not necessarily ignoring some small tere

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<v Speaker 1>risks that we have to deal with. Here. Here's the

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<v Speaker 1>way it is, Folks, Global Wall Street, Friday afternoon and

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<v Speaker 1>into Friday evening. You will wait for the research note

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<v Speaker 1>from Bruce cas and Michael Fairli and the rest JP

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<v Speaker 1>Morgan John Bruce grab to catch up of the Bruce cask,

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<v Speaker 1>the JP Morgan chief economists wait and get on the

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<v Speaker 1>likess with markets front and sentence home. A new method

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<v Speaker 1>for testing the coronavirus in Hubei leading to a spike

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<v Speaker 1>in coronavirus cases. Yeah, and the methodology of the body count.

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<v Speaker 1>And this is of course done undercast what they built

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<v Speaker 1>a hospital in what ten days or something? I mean

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<v Speaker 1>this is crisis proportions in a new ratios, new mathematics

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<v Speaker 1>this morning that everyone's adjusting to. We have been so

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<v Speaker 1>advantaged to speak to Peter Hotez of Baylor, of Anthony Fruit,

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<v Speaker 1>she arguably America's giant in immunology. And now we speak

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<v Speaker 1>again with Dr Rohn of uc L. She began at

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<v Speaker 1>the University of Washington in their world class microbiology program.

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<v Speaker 1>She still has Malachi Green under her fingernails from micro

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<v Speaker 1>one oh one years ago at Washington, and she is

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<v Speaker 1>truly definitive on virus and particularly some of the oddities

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<v Speaker 1>of the acclaimed cat virus and research from years ago.

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<v Speaker 1>Dr Rohan, wonderful to have you back with us today.

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<v Speaker 1>What have you learned in the last week about this virus? Well,

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<v Speaker 1>things have changed quite considerably, even overnight. So things were

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<v Speaker 1>looking a little bit predictable. It looked as if the virus,

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<v Speaker 1>although it was still going strong in China, appeared to

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<v Speaker 1>be heading toward a plateau. But overnight that all changed

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<v Speaker 1>and it's looking now as if there may be many

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<v Speaker 1>more cases than we initially thought because they've now revised

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<v Speaker 1>the ways they're diagnosing the patients over there. I calculated

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<v Speaker 1>the illness rate on one of the cruise ships, not

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<v Speaker 1>the one in the Gulf of Thailand. It's something in

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<v Speaker 1>the vicinity of six percent of the ship is sick.

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<v Speaker 1>What is and I use this word as an amateur,

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<v Speaker 1>what is the virulence of this virus as compared to

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<v Speaker 1>things you've seen before. Well, it's definitely highly infectious, so

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<v Speaker 1>it's a very contagious virus. However, despite all of the

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<v Speaker 1>scary things that we're hearing from China and Wuhan, at

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<v Speaker 1>the moment, it still looks as it's the lethality right,

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<v Speaker 1>it's not greater than that of say, seasonal influenza. That

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<v Speaker 1>doesn't mean it's a pussy cat. Seasonal influenza in the

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<v Speaker 1>US alone kills twelve to sixteen thousand people a year,

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<v Speaker 1>but we have immunity to influenza. It's an old virus.

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<v Speaker 1>So if if the coronavirus gets that same kind of

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<v Speaker 1>foothold as as our seasonal flu with the same fatality rate,

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<v Speaker 1>we we could be looking at a lot of people dying.

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<v Speaker 1>Speak for Wall Street and for investors in financial markets,

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<v Speaker 1>that seems to be this morning, at least relatively speaking.

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<v Speaker 1>A lack of faith in the data coming out of China. Now,

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<v Speaker 1>are they under reporting? Those are the questions that I'm

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<v Speaker 1>hearing consistently. I think one worry is that the top

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<v Speaker 1>US health experts that want to join an international group

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<v Speaker 1>heading to the center of the coronavirus outbreak in China

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<v Speaker 1>said they still haven't had an answer on whether they'll

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<v Speaker 1>be allowed into the country. What's happening in terms of

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<v Speaker 1>getting that foreign help into the country to get more

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<v Speaker 1>hands on that data. It's really difficult. I mean, I

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<v Speaker 1>don't think they're necessarily under reporting because they're trying to

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<v Speaker 1>hide things. I think Wuhan, in particularly upper center, is

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<v Speaker 1>in complete chaos. Now other other cities in China are

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<v Speaker 1>better off, but still everybody's on lockdown. It's nobody knows

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<v Speaker 1>what's going on, probably not even the Chinese. We can't

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<v Speaker 1>really necessarily blame them for this. It's it's out of

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<v Speaker 1>control in Hubai Province, and I think until we have

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<v Speaker 1>any idea of how contagious this is and how how

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<v Speaker 1>well their lockdown has worked, it probably is quite dangerous

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<v Speaker 1>to travel there. Dr Orohn. What questions you need to

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<v Speaker 1>see answer to determine whether we're getting towards some sort

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<v Speaker 1>of Plateau, Well, we need to know how many people

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<v Speaker 1>are infective. This has become increasingly difficult now because initially

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<v Speaker 1>outside of China, we were using the very old, reliable

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<v Speaker 1>method of contact tracing. We knew every single individual who

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<v Speaker 1>had traveled to China. We were tracing them in their contacts.

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<v Speaker 1>But now with with the recent developments in the United Kingdom,

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<v Speaker 1>where we've had this man who went to a Singapore

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<v Speaker 1>and then he went to a ski chalet in France

0:11:45.040 --> 0:11:48.040
<v Speaker 1>and he inadvertently infected a number of people even though

0:11:48.040 --> 0:11:51.400
<v Speaker 1>he wasn't showing any symptoms himself. That's really scary because

0:11:51.400 --> 0:11:53.240
<v Speaker 1>I think the cats out of the bag now. We

0:11:53.280 --> 0:11:56.400
<v Speaker 1>can no longer trace every last person that has been

0:11:56.440 --> 0:11:58.920
<v Speaker 1>in contact with this virus. And given that the symptoms

0:11:58.920 --> 0:12:01.160
<v Speaker 1>are so non specific, you know, a cough, a fever,

0:12:01.640 --> 0:12:03.600
<v Speaker 1>And if you don't know you've been in contact with

0:12:03.640 --> 0:12:05.520
<v Speaker 1>somebody from China, how on earth are you going to

0:12:05.559 --> 0:12:07.640
<v Speaker 1>know that you need to get tested. It's a really

0:12:07.640 --> 0:12:09.840
<v Speaker 1>difficult proposition. I think if we're starting to lose a

0:12:09.840 --> 0:12:13.160
<v Speaker 1>little bit of control outside of China. Dr Rohn, what

0:12:13.200 --> 0:12:16.120
<v Speaker 1>do you think of China's decision to revise the way

0:12:16.200 --> 0:12:20.120
<v Speaker 1>they diagnose cases and their new tally they released overnight,

0:12:22.000 --> 0:12:24.520
<v Speaker 1>and I mean it's it's been confusing for everybody who's

0:12:24.559 --> 0:12:28.200
<v Speaker 1>tracking the calculations. But actually I totally understand why they've

0:12:28.200 --> 0:12:31.280
<v Speaker 1>done it. That the test itself is not very reliable.

0:12:31.280 --> 0:12:34.240
<v Speaker 1>It can take at least three goes before you're before

0:12:34.400 --> 0:12:37.280
<v Speaker 1>a positive test is actually reliably recorded. You know, it

0:12:37.280 --> 0:12:40.680
<v Speaker 1>has this false negative rate. Um they really need to

0:12:40.720 --> 0:12:43.080
<v Speaker 1>know who's got the virus, and the test isn't reliable

0:12:43.440 --> 0:12:45.440
<v Speaker 1>and they're overwhelmed. So they've they've gone back to the

0:12:45.440 --> 0:12:47.920
<v Speaker 1>old fashioned medical way of doing it, which is looking

0:12:47.920 --> 0:12:51.480
<v Speaker 1>at symptoms, looking at the lung scans and you know, saying,

0:12:51.520 --> 0:12:53.560
<v Speaker 1>you know it quacks like a duck, it must be

0:12:53.559 --> 0:12:55.040
<v Speaker 1>a duck. You know, these people are in the center

0:12:55.040 --> 0:12:57.960
<v Speaker 1>of an episode of an epidemic. They've got the symptoms,

0:12:58.000 --> 0:13:01.040
<v Speaker 1>they've got bad lungs. Let's just say they've got the virus.

0:13:01.120 --> 0:13:03.160
<v Speaker 1>I mean, that makes sense to me. More and more

0:13:03.200 --> 0:13:05.960
<v Speaker 1>companies are pushing out their travel curves. We've heard from

0:13:06.000 --> 0:13:08.880
<v Speaker 1>several air lines now that are talking about not restarting

0:13:08.880 --> 0:13:12.040
<v Speaker 1>flights into the mainland until perhaps April, the end of April.

0:13:12.679 --> 0:13:15.839
<v Speaker 1>It's been a controversial question amongst the community that you're

0:13:15.880 --> 0:13:18.120
<v Speaker 1>in that I've asked several guests and got several different

0:13:18.160 --> 0:13:23.599
<v Speaker 1>answers to where the travel curbs actually help from your perspective,

0:13:23.679 --> 0:13:26.840
<v Speaker 1>do they? You can never get a straight answer from

0:13:26.840 --> 0:13:29.640
<v Speaker 1>a scientist, but I will say, I mean, I think

0:13:30.200 --> 0:13:32.400
<v Speaker 1>obviously a travel plan is going to help. You know,

0:13:32.440 --> 0:13:35.120
<v Speaker 1>if if you keep infected people out of your country

0:13:35.200 --> 0:13:37.760
<v Speaker 1>or potentially inspected people out of your countries, it will

0:13:37.800 --> 0:13:40.120
<v Speaker 1>help it. But at what cost? You know, what economic

0:13:40.200 --> 0:13:43.960
<v Speaker 1>cost can any other country afford to do this draconian

0:13:44.000 --> 0:13:46.600
<v Speaker 1>lockdown that the China has done. I don't think we can.

0:13:46.679 --> 0:13:49.199
<v Speaker 1>It's not reasonable and it's probably not warranted. Yet You're

0:13:49.200 --> 0:13:51.560
<v Speaker 1>in a classroom U c L. You've got a piece

0:13:51.559 --> 0:13:54.800
<v Speaker 1>of chalk in your hand, and you're scaling the illness

0:13:54.920 --> 0:14:00.120
<v Speaker 1>level of this virus with things our listeners no worldwide. Okay, right,

0:14:00.160 --> 0:14:04.520
<v Speaker 1>I'm gonna go back to virulence. How deadly, how how sickly,

0:14:04.760 --> 0:14:10.520
<v Speaker 1>how virulent is this virus versus other compares we have? Yeah,

0:14:10.520 --> 0:14:13.000
<v Speaker 1>I've got to keep going back to the seasonal influenza model.

0:14:13.040 --> 0:14:15.240
<v Speaker 1>I mean, it is looking to be just as contagious

0:14:15.280 --> 0:14:17.960
<v Speaker 1>as flu and just as lethal people don't think of

0:14:17.960 --> 0:14:21.560
<v Speaker 1>flu as a dangerous incredibly dangerous, as I mentioned, killing

0:14:21.600 --> 0:14:25.560
<v Speaker 1>up to sixteen people in the US. Okay, but but

0:14:25.800 --> 0:14:29.640
<v Speaker 1>do we have a hysteria about the seasonal flu like

0:14:29.720 --> 0:14:35.720
<v Speaker 1>we have about China. No, we don't because seasonal flu,

0:14:36.160 --> 0:14:40.200
<v Speaker 1>most of us have immunity to flu. Flu circulates around,

0:14:40.280 --> 0:14:42.040
<v Speaker 1>you know, sometimes we get it sometimes, So the key

0:14:42.080 --> 0:14:44.440
<v Speaker 1>You're not to interrupt, doctor, but this is absolutely critical.

0:14:44.600 --> 0:14:49.120
<v Speaker 1>Your major concern is the globe does not have the

0:14:49.200 --> 0:14:52.200
<v Speaker 1>immunity to this virus like it does to the flu.

0:14:52.680 --> 0:14:57.440
<v Speaker 1>John Farrell had three weeks ago. Yeah, this is this

0:14:57.480 --> 0:14:59.640
<v Speaker 1>is what I'm worried about. So it can sweep through

0:14:59.680 --> 0:15:03.120
<v Speaker 1>the spulation because the population has absolutely no resistance the

0:15:03.240 --> 0:15:06.280
<v Speaker 1>brand new virus. It's just jumped from the animal. Again.

0:15:06.800 --> 0:15:09.320
<v Speaker 1>It could mutate, but it may not be completely stable.

0:15:09.360 --> 0:15:12.400
<v Speaker 1>It might become more virulent. We really have no way

0:15:12.400 --> 0:15:15.120
<v Speaker 1>of knowing. It's a huge unknown. Doctor. I hate to

0:15:15.120 --> 0:15:17.240
<v Speaker 1>say it, but we have a patient here. John Farrell

0:15:17.360 --> 0:15:20.640
<v Speaker 1>has one final question. Dr Jennifer. Right, I'm going to

0:15:20.720 --> 0:15:23.360
<v Speaker 1>let speak to the doctor trying to cause travel. Dr

0:15:23.440 --> 0:15:32.240
<v Speaker 1>Chaffer wrote microbiologists for University College London, John, why don't

0:15:32.240 --> 0:15:34.400
<v Speaker 1>you bring in the Andrew Shapes because the math in

0:15:34.520 --> 0:15:37.280
<v Speaker 1>his research reports is just outstanding. Love catching up with

0:15:37.280 --> 0:15:40.800
<v Speaker 1>Andrew C. Smorgan, Stanley's chief cross assets strategist. He joins

0:15:40.880 --> 0:15:43.960
<v Speaker 1>us Now, Andrew, why are people still confident about the

0:15:43.960 --> 0:15:48.280
<v Speaker 1>global economy and global markets this year? Well? I think

0:15:48.280 --> 0:15:51.040
<v Speaker 1>because there were some pretty powerful tail winds that were

0:15:51.080 --> 0:15:55.560
<v Speaker 1>operating before these recent public health concerns. The base effects,

0:15:55.960 --> 0:15:58.760
<v Speaker 1>given how Week twenty nineteen was make it makes it

0:15:58.800 --> 0:16:02.680
<v Speaker 1>easy to show improvement. Inventory levels in China and Europe

0:16:02.680 --> 0:16:06.240
<v Speaker 1>and other places were low, and fiscal policy in addition

0:16:06.280 --> 0:16:11.800
<v Speaker 1>to monetary policy, is getting easier this year. Japan, China, Russia, India,

0:16:11.960 --> 0:16:14.680
<v Speaker 1>the UK, They're they're all going to ease fiscal policy.

0:16:14.840 --> 0:16:17.160
<v Speaker 1>So you know, the way that we think about this is,

0:16:17.560 --> 0:16:19.880
<v Speaker 1>I think we still have a global recovery that is

0:16:20.320 --> 0:16:23.600
<v Speaker 1>delayed rather than derailed. And I think you have some

0:16:23.640 --> 0:16:26.280
<v Speaker 1>potential that the market still gives the benefit of the

0:16:26.360 --> 0:16:29.680
<v Speaker 1>doubt to the global economy and looks past kind of

0:16:29.720 --> 0:16:32.040
<v Speaker 1>a weak months or two of data. But I think

0:16:32.080 --> 0:16:34.400
<v Speaker 1>the risk lies actually a little bit further out if

0:16:34.440 --> 0:16:38.400
<v Speaker 1>that temporary disruption becomes something bigger. How much is the

0:16:38.400 --> 0:16:41.160
<v Speaker 1>weakness that we're seeing in the data due to the coronavirus,

0:16:41.200 --> 0:16:44.200
<v Speaker 1>and how much is just underlying weakness that people are

0:16:44.240 --> 0:16:48.600
<v Speaker 1>just overlooking. Well, I think it's interesting. I think in

0:16:48.680 --> 0:16:51.160
<v Speaker 1>terms of weakness from the coronavirus itself, I think that's

0:16:51.160 --> 0:16:53.640
<v Speaker 1>still to come. I think that the data that will

0:16:53.720 --> 0:16:56.200
<v Speaker 1>reflect that is is what we're going to see over

0:16:56.200 --> 0:16:58.200
<v Speaker 1>the next month. And I think some of the initial

0:16:58.400 --> 0:17:01.400
<v Speaker 1>readings of that data. Um, if we look at Korean

0:17:01.520 --> 0:17:04.880
<v Speaker 1>import and export data or data directly related to China,

0:17:04.880 --> 0:17:08.680
<v Speaker 1>they're they're quite quite bad. They show quite severer shifts

0:17:09.280 --> 0:17:12.280
<v Speaker 1>in demand and consumption. Now, I think in the background

0:17:12.280 --> 0:17:14.639
<v Speaker 1>of that, you know, some of the data really was

0:17:14.680 --> 0:17:18.040
<v Speaker 1>looking better until this, until this happened. But I think

0:17:18.040 --> 0:17:21.120
<v Speaker 1>it reflects a global economy that's still very uneven, where

0:17:21.160 --> 0:17:23.199
<v Speaker 1>the pace of growth is uneven. I think some of

0:17:23.200 --> 0:17:26.959
<v Speaker 1>the questions about the fiscal policy response and how quickly

0:17:27.000 --> 0:17:29.520
<v Speaker 1>that will come online this year that where there's also

0:17:29.520 --> 0:17:31.760
<v Speaker 1>a lot of uncertainty around that. You've been the place

0:17:31.800 --> 0:17:34.320
<v Speaker 1>to look to for the last two years Andrew to

0:17:34.440 --> 0:17:36.960
<v Speaker 1>understand the dynamic of the US versus the rest of

0:17:37.000 --> 0:17:40.240
<v Speaker 1>the world from the slow down in early that started

0:17:40.280 --> 0:17:43.880
<v Speaker 1>an ASA and started to spread globally from there. Walk

0:17:43.920 --> 0:17:46.320
<v Speaker 1>me through that dynamic now, because as I see things

0:17:46.320 --> 0:17:49.560
<v Speaker 1>at the moment, the US is looking good relative to

0:17:49.680 --> 0:17:54.560
<v Speaker 1>everywhere else. Does it stay that way through well? I

0:17:54.600 --> 0:17:58.159
<v Speaker 1>think these these recent public health concerns ironically probably do

0:17:58.400 --> 0:18:02.960
<v Speaker 1>help keep the US relatively supported. Verse versus the rest

0:18:03.000 --> 0:18:04.960
<v Speaker 1>of the world, the US has less of a direct

0:18:05.000 --> 0:18:08.159
<v Speaker 1>economic impact. The US is seen as as a as

0:18:08.200 --> 0:18:11.280
<v Speaker 1>a safe haven, both on the equity side, the fixed

0:18:11.280 --> 0:18:14.520
<v Speaker 1>income side, and the currency side. But if we take

0:18:14.520 --> 0:18:17.240
<v Speaker 1>a step back and we think of the broader full

0:18:17.320 --> 0:18:21.080
<v Speaker 1>year trends in terms of where inventories are, in terms

0:18:21.119 --> 0:18:24.640
<v Speaker 1>of where fiscal policy is is shifting, just in terms

0:18:24.680 --> 0:18:26.600
<v Speaker 1>of where the base of growth was. That all that

0:18:26.640 --> 0:18:28.119
<v Speaker 1>looks better in the rest of the world. And so

0:18:28.160 --> 0:18:30.560
<v Speaker 1>I still think on a full year basis you could

0:18:30.560 --> 0:18:32.560
<v Speaker 1>see the rest of the world look better, but that's

0:18:32.640 --> 0:18:35.119
<v Speaker 1>certainly been delayed by these effects. You know, it was

0:18:35.160 --> 0:18:39.119
<v Speaker 1>the Brown mathematician we go Matthew and partial differentials paragraph

0:18:39.160 --> 0:18:42.480
<v Speaker 1>two of your important note handrew sheets. You are defined

0:18:42.560 --> 0:18:48.920
<v Speaker 1>by value expansion valuation expansion in two thousand nineteen. What's

0:18:48.960 --> 0:18:52.639
<v Speaker 1>the history of trying to get out front a valuation

0:18:52.960 --> 0:18:56.440
<v Speaker 1>shrinkage in a given year, this year and next year.

0:18:56.480 --> 0:18:59.720
<v Speaker 1>How do you do that? Well, okay, I think it's

0:18:59.800 --> 0:19:03.159
<v Speaker 1>it's very hard. Right. The the efficacy of trying to

0:19:03.359 --> 0:19:08.080
<v Speaker 1>invest based on valuation alone is very good with a

0:19:08.080 --> 0:19:11.480
<v Speaker 1>five or ten year horizon, but very bad even with

0:19:11.720 --> 0:19:14.639
<v Speaker 1>a twelve month horizon. And so you know, look, we

0:19:15.160 --> 0:19:17.080
<v Speaker 1>even as as much as we all want to buy

0:19:17.160 --> 0:19:22.000
<v Speaker 1>things cheap and seldom expensive, that history says that history

0:19:22.080 --> 0:19:24.040
<v Speaker 1>says that that over six or twelve months, that that

0:19:24.080 --> 0:19:27.280
<v Speaker 1>often just just doesn't work. So look, that's why we're

0:19:27.280 --> 0:19:29.400
<v Speaker 1>focused on some other factors. I think that's why we're

0:19:29.440 --> 0:19:32.440
<v Speaker 1>looking for signs at some of the relative momentum shifting. Andrew,

0:19:32.440 --> 0:19:34.600
<v Speaker 1>it doesn't work over six or twelve hours, which is

0:19:34.640 --> 0:19:38.840
<v Speaker 1>one protest before we let you go, Can we bring

0:19:38.920 --> 0:19:41.320
<v Speaker 1>some life into one of the most talked about interviews

0:19:41.520 --> 0:19:43.480
<v Speaker 1>that at least I've heard about for a long long time.

0:19:43.520 --> 0:19:47.520
<v Speaker 1>It's Greg Peters, formerly of Morgan Stanley, sitting across from

0:19:47.520 --> 0:19:51.639
<v Speaker 1>a young Andrew Sheets who could draw cartoons. And Greg

0:19:51.640 --> 0:19:53.960
<v Speaker 1>Peters is sitting there thinking, you know what, I like

0:19:54.119 --> 0:19:55.959
<v Speaker 1>this kid, and I could use this in our research,

0:19:56.000 --> 0:19:58.560
<v Speaker 1>which is why some of this research became world famous

0:19:58.560 --> 0:20:01.560
<v Speaker 1>in credit markets are on the financial crisis because Andrew

0:20:01.600 --> 0:20:05.439
<v Speaker 1>Sheets could take these stories and make little cartoons excuse me,

0:20:05.480 --> 0:20:08.800
<v Speaker 1>and they're like really good carton fantastic And to this day,

0:20:08.840 --> 0:20:12.600
<v Speaker 1>Greg paide Is still talks about have you ever done

0:20:12.600 --> 0:20:18.080
<v Speaker 1>a cartoon for Mr Gorman? Not not not directly, but look,

0:20:18.080 --> 0:20:21.320
<v Speaker 1>Greg wasn't was an excellent um was an excellent strategist.

0:20:21.320 --> 0:20:23.560
<v Speaker 1>He was an excellent analyst. And I think he always

0:20:24.160 --> 0:20:26.280
<v Speaker 1>tried to think about markets in in a different way

0:20:26.320 --> 0:20:29.760
<v Speaker 1>and I think that's maybe, maybe hopefully why he decided

0:20:29.760 --> 0:20:32.000
<v Speaker 1>to take that risk. The tone you just heard their

0:20:32.000 --> 0:20:35.520
<v Speaker 1>folks from Mr Sheets is like if you leave Morgan Stanley,

0:20:35.560 --> 0:20:40.680
<v Speaker 1>it's like you don't exist, just like God. I think

0:20:40.720 --> 0:20:46.040
<v Speaker 1>they were still on a talking basis. Greg's are always

0:20:46.080 --> 0:20:49.480
<v Speaker 1>a great analyst. We're on best buds basis with Mr Gorman.

0:20:49.560 --> 0:20:53.560
<v Speaker 1>I highly recommend a cartoon for Mr Gorman. Andrew Sheets,

0:20:53.560 --> 0:21:00.600
<v Speaker 1>thank you so much, Andrew, thank you. I'm gonna give

0:21:00.600 --> 0:21:03.520
<v Speaker 1>Paul Sweeney's opinion on this before our guest hangs up

0:21:03.560 --> 0:21:07.480
<v Speaker 1>on us. I am biased. There's there's different kinds of

0:21:07.560 --> 0:21:12.119
<v Speaker 1>equity strategists, and Paul, some come from economics great, and

0:21:12.160 --> 0:21:16.680
<v Speaker 1>others come from following an industry and following a sector.

0:21:17.359 --> 0:21:20.320
<v Speaker 1>And I really really listening listen to the people who

0:21:20.359 --> 0:21:24.320
<v Speaker 1>were analysts before they were equity strategists. I think it

0:21:24.320 --> 0:21:28.800
<v Speaker 1>it clears the mind to be right and do occasionally

0:21:28.840 --> 0:21:32.560
<v Speaker 1>be wrong on right. And that would be Tavis McCourt,

0:21:32.640 --> 0:21:38.760
<v Speaker 1>technology guy exactly. Raymond James, institutional equity strategist, joins us

0:21:38.760 --> 0:21:41.640
<v Speaker 1>on the phone. Tavis, thanks so much for joining us here.

0:21:41.680 --> 0:21:45.160
<v Speaker 1>You know, coming into the year after a move up

0:21:45.160 --> 0:21:48.280
<v Speaker 1>in the SP nineteen, a lot of folks were saying,

0:21:48.680 --> 0:21:52.520
<v Speaker 1>all right, expectation wise, let's thank mid maybe it's mid

0:21:52.520 --> 0:21:55.560
<v Speaker 1>to high single digit returns for the equity of markets. Well,

0:21:55.560 --> 0:21:57.479
<v Speaker 1>here we are already up four and a half percent

0:21:57.560 --> 0:22:01.080
<v Speaker 1>in mid February. What is your take for kind of

0:22:01.119 --> 0:22:06.800
<v Speaker 1>performance expectations people should have equity markets? Well, I think

0:22:06.840 --> 0:22:11.320
<v Speaker 1>the virus has has has really upset um expectations, right.

0:22:11.359 --> 0:22:13.399
<v Speaker 1>I mean that this market over the last month feels

0:22:13.400 --> 0:22:16.280
<v Speaker 1>a lot like the trade war market, where you've had

0:22:16.359 --> 0:22:20.000
<v Speaker 1>emerging markets under pressure, UH, risk free yields under pressure,

0:22:20.080 --> 0:22:23.080
<v Speaker 1>commodities under pressure, and yet equities kind of kind of

0:22:23.160 --> 0:22:26.359
<v Speaker 1>levitate um. But they do it in a very liquidity

0:22:26.440 --> 0:22:28.800
<v Speaker 1>centric way, so that the money is just pouring into

0:22:29.960 --> 0:22:32.480
<v Speaker 1>the most the most liquid index isn't even even within

0:22:32.520 --> 0:22:35.000
<v Speaker 1>the S and P the most liquid names within the index.

0:22:35.080 --> 0:22:38.399
<v Speaker 1>And I expect that will reverse once once UM, once

0:22:38.400 --> 0:22:41.200
<v Speaker 1>the impact of the viruses is behind us several months

0:22:41.240 --> 0:22:43.520
<v Speaker 1>from now. UM. But but I think that's probably the

0:22:43.800 --> 0:22:48.320
<v Speaker 1>biggest theme that's changed versus now versus versus you know,

0:22:48.400 --> 0:22:51.680
<v Speaker 1>six weeks ago. So does that suggest here, given the

0:22:51.760 --> 0:22:54.960
<v Speaker 1>uncertainties out there, large cap growth, let's just stick with it.

0:22:55.040 --> 0:22:58.000
<v Speaker 1>Let's not try to find pockets of value, whether that's

0:22:58.040 --> 0:23:02.120
<v Speaker 1>small cap or emerging market. Yeah. I'm actually a big

0:23:02.119 --> 0:23:05.400
<v Speaker 1>believer in finding pockets of value UM. And and and

0:23:05.480 --> 0:23:07.320
<v Speaker 1>you know, I call it kind of a rotation back

0:23:07.359 --> 0:23:10.440
<v Speaker 1>in the cyclicals and the small caps. I suspect it's

0:23:10.440 --> 0:23:13.560
<v Speaker 1>going to happen when when earnings most expectations start to

0:23:13.640 --> 0:23:18.479
<v Speaker 1>broaden out across the economy and UM that was starting

0:23:18.480 --> 0:23:22.639
<v Speaker 1>to happen in December and January, and coronavirus has basically

0:23:22.640 --> 0:23:27.280
<v Speaker 1>delayed that. UM. You've got a very significant dislocation in

0:23:27.280 --> 0:23:31.720
<v Speaker 1>in in UH global economic growth UM, which which is

0:23:31.800 --> 0:23:35.160
<v Speaker 1>basically pushing pushing money back into kind of liquid saper

0:23:35.440 --> 0:23:37.960
<v Speaker 1>bond proxies. I hate to go to your core knowledge,

0:23:38.000 --> 0:23:40.280
<v Speaker 1>but what does technology do? I mean, some of these

0:23:40.280 --> 0:23:43.280
<v Speaker 1>stocks are priced to perfection and other ones are, you know,

0:23:43.440 --> 0:23:46.840
<v Speaker 1>barely under price to perfection. I mean, what's your your

0:23:46.960 --> 0:23:50.919
<v Speaker 1>your appetite for marginal share purchase of the various and

0:23:50.960 --> 0:23:55.240
<v Speaker 1>sundry technology subsectors out there. Yeah, there's there's a lot

0:23:55.280 --> 0:23:59.200
<v Speaker 1>of um interesting things going on in the tech sector

0:23:59.680 --> 0:24:02.040
<v Speaker 1>right out. But I think the primary reason why it's

0:24:02.080 --> 0:24:06.200
<v Speaker 1>outperformed the last couple of years it's just very very

0:24:06.320 --> 0:24:10.520
<v Speaker 1>material share share buy backs, much more as a percentage

0:24:10.600 --> 0:24:14.960
<v Speaker 1>of cash weal from operations than than other sectors. And

0:24:14.960 --> 0:24:17.240
<v Speaker 1>and and that'll start to wane this year and next,

0:24:17.280 --> 0:24:19.480
<v Speaker 1>but I think that's kind of kept kept the sector

0:24:20.240 --> 0:24:25.359
<v Speaker 1>um performing very well even when when we're subpar. Okay,

0:24:25.400 --> 0:24:28.720
<v Speaker 1>well said, But as the margin persistent, I mean, everybody

0:24:28.760 --> 0:24:32.359
<v Speaker 1>got wrong the persistent margins of Apple. Is it a

0:24:32.400 --> 0:24:36.359
<v Speaker 1>proven margin persistency where you have to price in the

0:24:36.480 --> 0:24:39.800
<v Speaker 1>present value of all that future share buy back from

0:24:39.800 --> 0:24:44.359
<v Speaker 1>those ample cash flows. Yeah, and you basically had twenty

0:24:44.440 --> 0:24:48.800
<v Speaker 1>years roughly of of accelerated share buy backs happen in

0:24:48.800 --> 0:24:51.600
<v Speaker 1>in in roughly two years because of all the of

0:24:51.640 --> 0:24:53.840
<v Speaker 1>all the cash that was off shore, so so that

0:24:53.920 --> 0:24:57.639
<v Speaker 1>that benefited the sector UM and the other things benefited sectors. Look,

0:24:57.680 --> 0:24:59.800
<v Speaker 1>the earnings have been better. Like if you're looking for

0:24:59.840 --> 0:25:04.600
<v Speaker 1>a cyclical kind of UH resurgence and earnings growth, of

0:25:04.640 --> 0:25:08.199
<v Speaker 1>all the cyclical sectors, UH, the tech is the one

0:25:08.200 --> 0:25:10.840
<v Speaker 1>where earning has gotten better because because frankly the supply

0:25:10.920 --> 0:25:14.280
<v Speaker 1>change are tighter so so so it tends to feel

0:25:14.720 --> 0:25:18.040
<v Speaker 1>in market demand a lot factor than than sectors like

0:25:18.040 --> 0:25:21.920
<v Speaker 1>like industrial and so UM that the earnings trend is

0:25:22.160 --> 0:25:24.320
<v Speaker 1>helping out the sector well. But the one thing I

0:25:24.320 --> 0:25:26.520
<v Speaker 1>would point out Tom is because I did this yesterday,

0:25:26.520 --> 0:25:28.520
<v Speaker 1>I thought it was fascinating if you look at the

0:25:28.520 --> 0:25:32.160
<v Speaker 1>the large cap versus small cap bias across every sector

0:25:32.440 --> 0:25:35.600
<v Speaker 1>UH in the and in kind of a broad Russell

0:25:35.680 --> 0:25:39.080
<v Speaker 1>three thousand, three thousand index, large caps in tech have

0:25:39.160 --> 0:25:43.399
<v Speaker 1>outperformed small caps in tech by t UH since the

0:25:43.440 --> 0:25:45.720
<v Speaker 1>trade war stars. So it's it's that the the text

0:25:45.760 --> 0:25:48.960
<v Speaker 1>story is not universal across that very specific to large

0:25:48.960 --> 0:25:51.040
<v Speaker 1>cap tech. I want to go out the belly on

0:25:51.080 --> 0:25:53.840
<v Speaker 1>your Paul Sweeney. But the bottom line is there's this

0:25:53.880 --> 0:25:56.359
<v Speaker 1>idea that share buybacks is not a good use of

0:25:56.400 --> 0:25:58.800
<v Speaker 1>free cash flow. And you know, I know, I know,

0:25:58.800 --> 0:26:01.640
<v Speaker 1>it's various company company, but the bottom line is these

0:26:01.640 --> 0:26:06.399
<v Speaker 1>people are mint am I wrong. They're minting money, minting cash.

0:26:06.440 --> 0:26:08.800
<v Speaker 1>And you know, as a growth company, as a tech company,

0:26:08.800 --> 0:26:11.480
<v Speaker 1>as Tabs Wells knows, you'd like to see them reinvesting

0:26:11.520 --> 0:26:13.840
<v Speaker 1>back in their own companies because that's where the growth is.

0:26:13.880 --> 0:26:17.440
<v Speaker 1>But some of these companies, it's just so much cash,

0:26:17.440 --> 0:26:19.480
<v Speaker 1>like like an Apple sixty billion a free cash flow,

0:26:19.560 --> 0:26:21.280
<v Speaker 1>what do you do with it? So, Tavis, as we

0:26:21.320 --> 0:26:24.879
<v Speaker 1>think about just kind of evaluations overall in the market,

0:26:25.280 --> 0:26:28.000
<v Speaker 1>we've got to be getting pretty rich here. I mean,

0:26:28.080 --> 0:26:31.600
<v Speaker 1>you think about the performance we had in SMP that

0:26:31.720 --> 0:26:35.520
<v Speaker 1>it was with little to no earnings growth whatsoever. So

0:26:35.640 --> 0:26:38.640
<v Speaker 1>doesn't that suggest that valuations here in the market overall

0:26:38.960 --> 0:26:43.040
<v Speaker 1>are stretched. Well, it's it's it's a really bifurcated story

0:26:43.119 --> 0:26:45.040
<v Speaker 1>that it did. If you look at the SMP five

0:26:45.520 --> 0:26:50.080
<v Speaker 1>trailing trailing pees um, we've really only been more expensive

0:26:50.080 --> 0:26:52.200
<v Speaker 1>than we are today during a period of time that

0:26:52.280 --> 0:26:54.639
<v Speaker 1>we now call the tech bubble um. Whether or not

0:26:54.760 --> 0:26:56.479
<v Speaker 1>that will be you in history as as a tech

0:26:56.520 --> 0:26:58.520
<v Speaker 1>bubble or not we'll see. But if you look at

0:26:58.760 --> 0:27:02.080
<v Speaker 1>mid Captain small cup and says, Um, we're not exceptionally

0:27:02.160 --> 0:27:05.000
<v Speaker 1>cheap like we were last summer. We're not at twenty

0:27:05.080 --> 0:27:07.880
<v Speaker 1>year lows like we were, but we're still kind of

0:27:08.000 --> 0:27:11.000
<v Speaker 1>slightly below the medium of of twenty of the last

0:27:11.000 --> 0:27:14.000
<v Speaker 1>twenty years. So so so the market is again it's

0:27:14.040 --> 0:27:17.600
<v Speaker 1>got a very significant, uh, liquidity bias to it, and

0:27:17.600 --> 0:27:21.960
<v Speaker 1>and that makes larger stocks more expensive when you look

0:27:21.960 --> 0:27:25.200
<v Speaker 1>at kind of valuations in history than than smaller stocks.

0:27:25.720 --> 0:27:28.359
<v Speaker 1>And you mentioned liquidity, I'm thinking about liquidity in the

0:27:28.480 --> 0:27:32.480
<v Speaker 1>global marketplace. Is that created you know, there's been some

0:27:32.520 --> 0:27:36.000
<v Speaker 1>concern that that has created asset bubbles and that may

0:27:36.040 --> 0:27:39.280
<v Speaker 1>even include US equity markets. How was that on your

0:27:39.320 --> 0:27:42.840
<v Speaker 1>your list of concerns? You know, I would say it

0:27:42.880 --> 0:27:45.800
<v Speaker 1>was it was. It would have been zero concern two

0:27:45.880 --> 0:27:48.200
<v Speaker 1>years ago because there really was no evidence that there

0:27:48.359 --> 0:27:50.800
<v Speaker 1>that that you had this kind of large cap bias

0:27:50.920 --> 0:27:55.960
<v Speaker 1>to returns or to or to valuations. Um, it's modest. Now, Um,

0:27:56.359 --> 0:27:59.440
<v Speaker 1>we we've had basically two consecutive years, a little little

0:27:59.440 --> 0:28:03.800
<v Speaker 1>over two years is a really significant pe inflation in

0:28:03.920 --> 0:28:07.040
<v Speaker 1>large caps relative to smaller caps, which we had not

0:28:07.160 --> 0:28:11.000
<v Speaker 1>seen for the previous seventeen eighteen years. So um, I

0:28:11.040 --> 0:28:12.800
<v Speaker 1>wouldn't say it the first thing on the concern list,

0:28:12.800 --> 0:28:16.000
<v Speaker 1>but it's worth paying attention to now, and definitely colors

0:28:16.080 --> 0:28:19.600
<v Speaker 1>the that the valuation talk, because it's hard to say

0:28:19.640 --> 0:28:23.080
<v Speaker 1>stocks expensive. You know, you can say the hundred largest

0:28:23.080 --> 0:28:26.399
<v Speaker 1>stocks are expensive, but but broadly stocks are kind of Okay.

0:28:27.160 --> 0:28:29.119
<v Speaker 1>Before I let you go, then what is your called

0:28:29.119 --> 0:28:32.680
<v Speaker 1>twelve months out? I mean, we're up twentysomething percent last year,

0:28:32.800 --> 0:28:34.840
<v Speaker 1>four or five percent this year, and we're down right

0:28:34.840 --> 0:28:37.199
<v Speaker 1>now negative one o nine on the Dow with the

0:28:37.240 --> 0:28:39.960
<v Speaker 1>market's trading folks, But twelve months out, can you get

0:28:39.960 --> 0:28:44.200
<v Speaker 1>all double digit on us? Tavis? I think we can.

0:28:44.240 --> 0:28:46.000
<v Speaker 1>I think the big story in the market is going

0:28:46.040 --> 0:28:51.080
<v Speaker 1>to be rotation versus overall index performance. Um that that

0:28:51.120 --> 0:28:53.160
<v Speaker 1>the you know, we may get a little appreciation over

0:28:53.160 --> 0:28:56.200
<v Speaker 1>the course of twelve twelve months in in the SMP,

0:28:56.640 --> 0:28:59.000
<v Speaker 1>but I think that the big the big story is

0:28:59.000 --> 0:29:02.280
<v Speaker 1>going to be how the turns really start to rotate

0:29:02.320 --> 0:29:04.560
<v Speaker 1>into some of these cyclical sectors and into small cap

0:29:04.640 --> 0:29:07.560
<v Speaker 1>indexes as earnings growth broadens out. We had a real

0:29:07.600 --> 0:29:10.720
<v Speaker 1>earnings earnings recession in a lot of parts of the

0:29:10.720 --> 0:29:15.160
<v Speaker 1>economy in in two thousand nineteen, and that recovers after

0:29:15.320 --> 0:29:17.920
<v Speaker 1>the coronavirus, so that it will be several months from now.

0:29:18.200 --> 0:29:20.680
<v Speaker 1>I suspect you're gonna see this really big rotation in

0:29:20.880 --> 0:29:25.000
<v Speaker 1>UM within the equity indexes. Tamas, thanks so much. Tamas

0:29:25.080 --> 0:29:29.000
<v Speaker 1>McCart with us. Raymond James, thanks for listening to the

0:29:29.000 --> 0:29:35.520
<v Speaker 1>Bloomberg Surveillance podcast. Subscribe and listen to interviews on Apple Podcasts, SoundCloud,

0:29:35.880 --> 0:29:40.080
<v Speaker 1>or whichever podcast platform you prefer. I'm on Twitter at

0:29:40.160 --> 0:29:44.400
<v Speaker 1>Tom Keane before the podcast. You can always catch us worldwide.

0:29:44.840 --> 0:29:45.960
<v Speaker 1>I'm Bloomberg Radio