WEBVTT - Recession Warnings Mount for U.S. Economy

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<v Speaker 1>This is Bloomberg Business Week. I'm Carol Masser and I'm

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<v Speaker 1>Bloomberg Quick Takes Tim Stanobek. We're here every day bringing

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<v Speaker 1>pm Eastern Time on Bloomberg Radio, or watch us on

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<v Speaker 1>YouTube search Bloomberg Global News. The U S economy is

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<v Speaker 1>starting to show some signs of strain under the weight

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<v Speaker 1>of decades high inflation and climbing interest rates, raising the

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<v Speaker 1>risk of a downturn. Bloomberg News Economics reporter Rich Miller

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<v Speaker 1>writes about this today, Rich joining us from our Washington

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<v Speaker 1>at d C bureau. Rich, good to have you with us.

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<v Speaker 1>Um what we see, what's happening with the financial markets,

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<v Speaker 1>But if you look beyond those, where are you starting

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<v Speaker 1>to see weakness in the economy. Yeah. I want to

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<v Speaker 1>just make sure that we we understand that you know

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<v Speaker 1>that the economy still has some you know, strong points,

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<v Speaker 1>but but there are like cracks showing in that sort

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<v Speaker 1>of strong facade. UM. Consumers are starting to take on

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<v Speaker 1>more debt. I mean they're faced with you know, uh

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<v Speaker 1>decades high inflation, having to share out more money for um, food, gasoline.

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<v Speaker 1>So consumers are staking taking on more debts. So that's

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<v Speaker 1>a sign that there of some strain the UM. Small

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<v Speaker 1>businesses are also UM turning gloomier UM. Last month, according

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<v Speaker 1>to a DP the accounting firm, small businesses actually uh

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<v Speaker 1>uh so their payroll shrink. That was partly because um,

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<v Speaker 1>they don't feel they can keep keep on raising wages

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<v Speaker 1>and therefore having trouble getting workers. And then, lastly, the

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<v Speaker 1>housing market, which is kind of on the front line

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<v Speaker 1>of the Fed's efforts to slow the economy. We've seen

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<v Speaker 1>mortgage rates grow up at the at the fastest page

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<v Speaker 1>for quite a some time, and and and and some

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<v Speaker 1>signs of slowing down in the sort of frenetic housing

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<v Speaker 1>market that we've had. And rich I mean, from the

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<v Speaker 1>fetes perspective, would they be viewing these as cracks in

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<v Speaker 1>the economy or merely just signs that maybe the economy

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<v Speaker 1>is starting to cool. Uh, they're probably the ladder. They're

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<v Speaker 1>probably sort of welcoming some signs that things are are

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<v Speaker 1>are cooling down, and uh that's what they want to do.

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<v Speaker 1>But you know, it's uh, what is it, Uh three

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<v Speaker 1>little bears right, not to Goldie GOLDI lots, you can't

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<v Speaker 1>you know, it's it's it's it's a fine line, right,

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<v Speaker 1>you know. Uh, it's the same saying could be said

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<v Speaker 1>at what we've seen in the stock market. They made

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<v Speaker 1>very clear that they wanted to get financial conditions tighter,

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<v Speaker 1>and that that meant they wanted uh, you know, tacitly.

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<v Speaker 1>They we're saying, we wanted to see stock prices lower,

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<v Speaker 1>and they've certainly gotten that, but they don't want to

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<v Speaker 1>you know, they don't want to see them go so

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<v Speaker 1>low that people get really discouraged and you know, stop

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<v Speaker 1>buying and we get thrown into recessions. So it's, you know,

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<v Speaker 1>they're walking a very very fine line here. So so

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<v Speaker 1>what do you need to see to prove to you

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<v Speaker 1>that the Fed can pull this off, that the economy

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<v Speaker 1>will be you know, in the words of Goldilocks just right,

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<v Speaker 1>or in the words of of J. Powell, perhaps a

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<v Speaker 1>softish landing softish landing, right right, uh, or some people

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<v Speaker 1>say a semi hard landing. But but anyway, um um,

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<v Speaker 1>I guess the key is going to be inflation. I think,

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<v Speaker 1>um um, they're the Fed is still sort of hoping,

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<v Speaker 1>praying that you know, a good portion of the inflation

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<v Speaker 1>we're seeing is due to the so called supply side.

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<v Speaker 1>And you know, if inflation starts this signs abusing, then

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<v Speaker 1>they won't have to raise rates quite as high high

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<v Speaker 1>as as as they might have to, and that would

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<v Speaker 1>increase the chances they'll pull off what, as you say,

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<v Speaker 1>the softish landing. They've already almost sort of given up

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<v Speaker 1>on a soft landing where you know, everything is perfect

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<v Speaker 1>and you know, inflation comes down but unemployment doesn't go up.

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<v Speaker 1>But it seems now the softish landing means, well, we're

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<v Speaker 1>going to get some a little bit of pain in

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<v Speaker 1>the economy and probably in the jobs market, but we

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<v Speaker 1>won't get a recession. Well let's let's dig in on that, because,

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<v Speaker 1>I mean, the consensus coming into this year among economists

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<v Speaker 1>was that we were going to see a slowdown, a

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<v Speaker 1>cool down, not necessarily a contraction. What is the balance

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<v Speaker 1>of views right now when you look across the landscape.

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<v Speaker 1>What are economy economists saying about the possibility now of

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<v Speaker 1>a recession in the coming years. I think then the

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<v Speaker 1>clear consensus is that we're going to avoid a recession.

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<v Speaker 1>But the when you when you ask people about about

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<v Speaker 1>what are the risks around your so called baseline forecast,

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<v Speaker 1>the risks that we're going to have a recession are

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<v Speaker 1>are rising. A survey that Bloomberg did within the last

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<v Speaker 1>couple of weeks of a broad range of economists, I

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<v Speaker 1>want to say about more than fifty economists showed that,

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<v Speaker 1>you know, they expected a thirty percent chance of a

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<v Speaker 1>recession within the next year. But that was up from like,

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<v Speaker 1>uh fifteen percent of those uh thirty That was up

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<v Speaker 1>from fifteen percent, say at the beginning of the year.

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<v Speaker 1>So the consensus is still we're you know, we're going

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<v Speaker 1>to avoid a recession, but the trends are not in

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<v Speaker 1>the right direction. The number of people that the the

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<v Speaker 1>risks that people assigned to the possibility recession arising, and

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<v Speaker 1>actually growth forecasts are coming down. Bank of America today

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<v Speaker 1>cut its growth forecast for the fourth quarter of next

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<v Speaker 1>year too under a half percent, which is pretty riouslee

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<v Speaker 1>close to zero or negative. So Rich, just in the

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<v Speaker 1>last thirty seconds that we have with you very briefly,

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<v Speaker 1>um Cane. You know, it's it's interesting because it's like

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<v Speaker 1>we think about this from the perspective of FETE officials,

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<v Speaker 1>when you think about it from the perspective of of people,

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<v Speaker 1>but uh, what happens when people pull back because they're

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<v Speaker 1>concerned about spending, Like it becomes self fulfilling in just

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<v Speaker 1>fifteen seconds. Yeah, I mean that that that confidences is

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<v Speaker 1>a key, key key keeping here and if confidence breaks

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<v Speaker 1>and the economy will probably go into recession. It's just

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<v Speaker 1>like you talked about yesterday, Katie with the self fulfilling properity,

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<v Speaker 1>Rich Miller, this is a great piece. Check it out

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<v Speaker 1>on the Bloomberg terminal. Riches economics reporter for Bloomberg News,

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<v Speaker 1>joining us from our d C bureau. Rich, thanks so much.

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<v Speaker 1>You're listening to Bloomberg Business Week on Bloomberg Radio. You're

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<v Speaker 1>listening to Bloomberg Business Week with Carol Messer and Bloomberg

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<v Speaker 1>Quick Takes Tim Stinovic on Bloomberg Radio. Well, the Port

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<v Speaker 1>of Long Beach moved nine point three eight million containers

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<v Speaker 1>in one that's set a record. Then came a record January,

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<v Speaker 1>then came a record February, then came a record March,

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<v Speaker 1>and then came a record April. What's the rest of

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<v Speaker 1>the year looked like, especially as China lifts lockdowns. Well,

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<v Speaker 1>Mario Cordero is the executive director at the Port of

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<v Speaker 1>Long Beach. He joins us on the phone from Long Beach, California. Mario,

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<v Speaker 1>how are you, How are you? Thank you? Thank you

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<v Speaker 1>for the Yeah, it's it's really good to have you

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<v Speaker 1>with us. So, so what does what is May looking like?

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<v Speaker 1>And are we going to be seeing year over year

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<v Speaker 1>records every month this year? Well, we're certainly seeing an

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<v Speaker 1>uptick in terms of the cargo growth here at the

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<v Speaker 1>prolonge that you've reference. We've had a record April and

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<v Speaker 1>for that matter, for the first four months record numbers.

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<v Speaker 1>As to what the rest of the year it looks like,

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<v Speaker 1>I think in the next couple of months we're going

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<v Speaker 1>to continue put an uptick, given that we're entering a

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<v Speaker 1>peak season which ordinarily starts around July, and by that

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<v Speaker 1>I mean the cargo that comes in preparation for the

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<v Speaker 1>fall holiday season. And then as to the last quarter

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<v Speaker 1>of the year, I think that remains to be seen,

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<v Speaker 1>but definitely because of the lockdown and slowed down that

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<v Speaker 1>we've seen in China, that is the zero COVID policy

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<v Speaker 1>that they've implemented there. I think we're gonna have a

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<v Speaker 1>domino effect once China ramps up, and you're gonna see

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<v Speaker 1>that cargo coming again in some kind of a searge. Well,

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<v Speaker 1>let's talk about the domino effect. You know, how are

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<v Speaker 1>how is the Port of Long Beach going to try

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<v Speaker 1>to prevent the congestion that we saw in one as

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<v Speaker 1>we entered this peak season. What a good news is

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<v Speaker 1>a result of the engagement of the White House, more

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<v Speaker 1>specifically the White House Envoy, we've had for several months

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<v Speaker 1>weekly calls for two or three times a week to

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<v Speaker 1>address the various congestion issues. So I can represent to

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<v Speaker 1>you that there's a full court press to address some

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<v Speaker 1>of the issues that we're at the more serious level

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<v Speaker 1>in the fall. And on one very positive metric, you know,

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<v Speaker 1>in January this year, we had a hundred nine vessels

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<v Speaker 1>off the coast. That number now is around thirty two.

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<v Speaker 1>So I think, well, we're still gonna have some challenges.

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<v Speaker 1>As you have probably know, every gate, every major gate

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<v Speaker 1>with United States have the same challenge is given the

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<v Speaker 1>import search here and the issues involving the disruption of

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<v Speaker 1>global supply chain. However, I believe we're going to be

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<v Speaker 1>in a better position to address some of the issues

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<v Speaker 1>that really surfaced at a very high level a year ago. Maria,

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<v Speaker 1>what about when it comes to labor, because last week

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<v Speaker 1>saw the start of crucial labor talks between the dock

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<v Speaker 1>worker union and employers, but with both parties saying that

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<v Speaker 1>they expect cargo to keep moving until an agreement as

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<v Speaker 1>which reach, do just give us an indication of how

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<v Speaker 1>these talks are going well. As you may know, I'm

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<v Speaker 1>not privy to the talks that I'm not in the room. However, uh,

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<v Speaker 1>in my view, given h the engagement with the parties

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<v Speaker 1>throughout this process of stakeholder engagement prior to the negotiations,

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<v Speaker 1>I'm optimistic that the parties will reach their differences or

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<v Speaker 1>resolved differences in the reasonable period of time. I mean,

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<v Speaker 1>the fact of the matter is that here at this

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<v Speaker 1>port complex, the largest in the nation that is between

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<v Speaker 1>Pearl Long Beach and Pearl Los Angeles, we moved an

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<v Speaker 1>excess of twenty million containers. So and large part is

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<v Speaker 1>because of the productivity that labor has had. So I

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<v Speaker 1>don't expect any slowdown with regard to the productivity on

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<v Speaker 1>the part of labor. Well, can you talk about what

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<v Speaker 1>contingencies you have in place to prevent that slowdown, I mean,

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<v Speaker 1>shoulder an agreement not be reached. Well, I think the

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<v Speaker 1>good news is what we've been able to do during

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<v Speaker 1>this crisis. As one example, extended gate hours, you know,

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<v Speaker 1>to keep the fluidity of the cargo moving. You know,

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<v Speaker 1>some of these terminals have a weekend hours. Our terminal

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<v Speaker 1>t t I, we have a seven pilot project, uh

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<v Speaker 1>and of course the same on the part of Los Angeles.

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<v Speaker 1>So I think we have implemented measures to again make

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<v Speaker 1>sure that we keep some fluidity in the movement of cargo.

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<v Speaker 1>So and with that, we've also identified land in terms

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<v Speaker 1>of at the Acrede where this card was being moved

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<v Speaker 1>off the terminals. So again I I don't expect to

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<v Speaker 1>slow down by labor, and I think for us we

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<v Speaker 1>are certainly better prepared to address any type of scenaria,

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<v Speaker 1>and maybe we were a year ago. So I think

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<v Speaker 1>that's the good news in terms of what we're seeing

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<v Speaker 1>addressing all the issues relevant to the movement of cargo here. Hey, Mario,

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<v Speaker 1>We've talked to CEOs at some companies over the last

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<v Speaker 1>few months, and they've told us that one of the

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<v Speaker 1>ways they've dealt with poor congestion at the ports of

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<v Speaker 1>Los Angeles and Long Beach is to actually go and

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<v Speaker 1>use other ports uh north of you, and then also

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<v Speaker 1>completely other other ports on the other side of the country.

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<v Speaker 1>What are you doing to avoid losing market share? Well,

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<v Speaker 1>I think this has been an ongoing dynamic for several years,

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<v Speaker 1>that is the loss of incremental market share here at

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<v Speaker 1>the West coast, more specifically at the largest nation, largest

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<v Speaker 1>port of conflict. Now you know other gateways be a

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<v Speaker 1>New York to Jersey, Savannah, Charleston, Houston, They've all done

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<v Speaker 1>a great job in uplifting their respective infrastructure. So certainly

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<v Speaker 1>we are very concussant that shippers have a choice. On

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<v Speaker 1>the other hand, I think that this gateway here is

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<v Speaker 1>the most is the gateway most approximate the most important

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<v Speaker 1>trade reason to this country to the USA, which is Asia.

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<v Speaker 1>And at the end of the day, we could move

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<v Speaker 1>that container to Chicago to the Midwest faster than any

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<v Speaker 1>direct service to the go for to the East. That

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<v Speaker 1>dynamic will continue. I think our partnership with the railroads

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<v Speaker 1>and the substitut discussions when we're having with them to

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<v Speaker 1>make sure we keep competitive well well again in my opinion,

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<v Speaker 1>uh remain we will remain competitive. Now again, I want

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<v Speaker 1>to say one thing that if you look at these

0:12:40.559 --> 0:12:42.600
<v Speaker 1>other gateways, I mean just in the news this week,

0:12:42.640 --> 0:12:45.520
<v Speaker 1>it's very briefly ten seconds go ahead, and then news

0:12:45.520 --> 0:12:47.280
<v Speaker 1>this week the congestion is happening in New York and

0:12:47.320 --> 0:12:50.480
<v Speaker 1>New Jersey. So this is a dynamic every major gateways.

0:12:50.520 --> 0:12:53.760
<v Speaker 1>Addressing Mario Cordero, executive director at the Port of Long Beach,

0:12:55.280 --> 0:12:59.359
<v Speaker 1>This is Bloomberg Business Week with Carol Masser and Bloomberg

0:12:59.400 --> 0:13:03.400
<v Speaker 1>Quick Takes Tim Stenovic on Bloomberg Radio. Well. According to

0:13:03.440 --> 0:13:06.680
<v Speaker 1>the World Health Organization, the coronavirus pandemic has directly and

0:13:06.920 --> 0:13:11.440
<v Speaker 1>indirectly killed nearly fifteen million people around the world. So

0:13:11.480 --> 0:13:14.840
<v Speaker 1>how do we prevent the next pandemic? It's the question

0:13:14.920 --> 0:13:17.960
<v Speaker 1>of a new book by Brian Bremner, Global Business Executive

0:13:18.080 --> 0:13:20.920
<v Speaker 1>Editor here at Bloomberg News. He argues that it hinges

0:13:20.920 --> 0:13:25.520
<v Speaker 1>on better understanding the billions of tiny pathogens circulating in nature.

0:13:25.800 --> 0:13:28.520
<v Speaker 1>Brian Bremner is Global Business Executive Editor. He joins us

0:13:28.520 --> 0:13:30.840
<v Speaker 1>on the phone from London. Joel Weber is the editor

0:13:31.120 --> 0:13:33.560
<v Speaker 1>at bloom of Bloomberg business Week. He joins us on

0:13:33.600 --> 0:13:36.880
<v Speaker 1>the access line from Brooklyn. This story is featured in

0:13:36.920 --> 0:13:39.960
<v Speaker 1>the new issue of Business Week magazine. It's available on newsstands,

0:13:40.040 --> 0:13:43.200
<v Speaker 1>on the Bloomberg terminal, and at Bloomberg dot com slash

0:13:43.320 --> 0:13:47.319
<v Speaker 1>business Week. So, Joel, why are why are these teeny

0:13:47.360 --> 0:13:51.920
<v Speaker 1>tiny invisible things so crucial to understand? Yeah, they're not invisible.

0:13:51.920 --> 0:13:54.080
<v Speaker 1>You just gotta go super super small invisible. To me,

0:13:54.120 --> 0:13:56.760
<v Speaker 1>it's the naked eye right there, you go? Right? Ok. So,

0:13:56.760 --> 0:13:59.640
<v Speaker 1>so the microbe is sort of the thing that that

0:13:59.679 --> 0:14:02.120
<v Speaker 1>Brian and went went long on here. And in addition

0:14:02.200 --> 0:14:05.520
<v Speaker 1>to this remarks in the magazine, it's subject of his book,

0:14:05.600 --> 0:14:09.040
<v Speaker 1>Man Versus Microbe. If you're a close watcher of Business Week,

0:14:09.040 --> 0:14:11.680
<v Speaker 1>you may remember those words because in the very very

0:14:11.920 --> 0:14:15.520
<v Speaker 1>very early days of the pandemic, right as we started

0:14:15.520 --> 0:14:18.640
<v Speaker 1>to appreciate how big of a story this was gonna be, Uh,

0:14:18.679 --> 0:14:21.360
<v Speaker 1>Brian and I talked and and he spilled up what

0:14:21.440 --> 0:14:24.520
<v Speaker 1>became a very early cover story for us with the

0:14:24.560 --> 0:14:28.760
<v Speaker 1>similar line Man versus microbe and as the pandemic went along,

0:14:28.760 --> 0:14:31.600
<v Speaker 1>and Brian helped oversee so much of Bloomberg News is

0:14:31.680 --> 0:14:35.240
<v Speaker 1>amazing coverage. Um. He got in urge to to pursue

0:14:35.240 --> 0:14:38.040
<v Speaker 1>it as a book. And what I find fascinating about

0:14:38.080 --> 0:14:42.640
<v Speaker 1>this is really how future orientated this idea is. Um.

0:14:42.800 --> 0:14:47.200
<v Speaker 1>We're talking about virus. Obviously when we talk about um uh,

0:14:47.400 --> 0:14:52.080
<v Speaker 1>covid um virus is one of many different microbes there there,

0:14:52.160 --> 0:14:54.800
<v Speaker 1>and they are out there. We we've and our understanding

0:14:54.840 --> 0:14:59.200
<v Speaker 1>of microbes is so limited. But and that's kind of

0:14:59.200 --> 0:15:01.960
<v Speaker 1>where his reporting goes. UM and Al turn it up

0:15:01.960 --> 0:15:07.120
<v Speaker 1>to him, Brian, what we are making progress uh, scientifically

0:15:07.680 --> 0:15:10.600
<v Speaker 1>on this front um almost it feels now like probably

0:15:10.680 --> 0:15:15.280
<v Speaker 1>daily right, But where where could things go? Well, it's

0:15:15.360 --> 0:15:18.280
<v Speaker 1>it's a really interesting time because we're kind of in

0:15:18.320 --> 0:15:22.440
<v Speaker 1>the third year of the pandemic. But the COVID pandemic

0:15:22.600 --> 0:15:27.479
<v Speaker 1>is coincided with kind of a big transformation in biology.

0:15:27.680 --> 0:15:32.040
<v Speaker 1>It's you know, we're now applying technologies like AI, big

0:15:32.120 --> 0:15:38.480
<v Speaker 1>data analytics, automation and Crisper Genie editing technology. So we're

0:15:38.480 --> 0:15:42.680
<v Speaker 1>now at a point where we can redesign the source

0:15:42.800 --> 0:15:46.800
<v Speaker 1>code for for microbes and a lot of biological systems.

0:15:46.840 --> 0:15:50.040
<v Speaker 1>And the reason that's important in the context of how

0:15:50.080 --> 0:15:54.400
<v Speaker 1>do we get better at pandemic management is that this

0:15:54.400 --> 0:15:57.920
<v Speaker 1>this crisis has taught us that if you let any

0:15:58.000 --> 0:16:03.280
<v Speaker 1>kind of pathogen scale up into population centers, it's really

0:16:03.360 --> 0:16:07.960
<v Speaker 1>game over. And this this pandemic are our battle with

0:16:08.120 --> 0:16:11.360
<v Speaker 1>the with the virus really kind of ended in in

0:16:11.520 --> 0:16:16.040
<v Speaker 1>March of when the hotspots around the world, you know,

0:16:16.120 --> 0:16:19.160
<v Speaker 1>took off. And the reason is is that when you

0:16:19.240 --> 0:16:24.000
<v Speaker 1>get to a certain scale, we tend to, you know,

0:16:24.120 --> 0:16:28.360
<v Speaker 1>experience social disorder and we're on our back legs and

0:16:28.400 --> 0:16:31.240
<v Speaker 1>we have to kind of make very very tough choices

0:16:31.320 --> 0:16:35.360
<v Speaker 1>between saving lives and letting our economies collapse. And we

0:16:35.480 --> 0:16:38.640
<v Speaker 1>don't want to be in that position, so we've tried.

0:16:38.680 --> 0:16:42.120
<v Speaker 1>I think the answer if you talk to people who

0:16:42.160 --> 0:16:44.400
<v Speaker 1>are who are devoting their careers to this, is that

0:16:44.480 --> 0:16:47.920
<v Speaker 1>we've got to take this battle to the molecular level,

0:16:47.920 --> 0:16:52.160
<v Speaker 1>and that means building a biosurveillance system that allows us

0:16:52.200 --> 0:16:55.920
<v Speaker 1>to kind of track these pathogens really early when they're

0:16:56.000 --> 0:17:01.080
<v Speaker 1>kind of circular circulating around nature and in animal communities,

0:17:01.400 --> 0:17:04.000
<v Speaker 1>and then try to disrupt them or at least manage

0:17:04.040 --> 0:17:07.840
<v Speaker 1>the you know, the outbreaks much earlier in the process

0:17:08.000 --> 0:17:11.359
<v Speaker 1>before you kind of have that societal impact. Well, Brian,

0:17:11.960 --> 0:17:15.120
<v Speaker 1>the challenge there is, you write in this excerpt of

0:17:15.160 --> 0:17:17.760
<v Speaker 1>your new book Man Versus Microbe, what will it take

0:17:17.840 --> 0:17:21.760
<v Speaker 1>to win, is that as humans were not really wired

0:17:21.800 --> 0:17:25.280
<v Speaker 1>to react to risks that that we can't see or

0:17:25.400 --> 0:17:27.240
<v Speaker 1>feel in the here and now. So, so how do

0:17:27.280 --> 0:17:32.080
<v Speaker 1>we change that wiring? Well, it's difficult because you know,

0:17:32.119 --> 0:17:34.560
<v Speaker 1>you're right, I mean, we're just you know, are The

0:17:34.560 --> 0:17:37.960
<v Speaker 1>way we evolved was just to see a clear and

0:17:38.000 --> 0:17:42.000
<v Speaker 1>present danger threats, you know, the snake slithering through the grass,

0:17:42.080 --> 0:17:44.639
<v Speaker 1>or the you know, the car that jumps the media

0:17:44.680 --> 0:17:49.520
<v Speaker 1>and and oncoming traffic and things like that. Biological events

0:17:49.760 --> 0:17:54.520
<v Speaker 1>are slow moving, they're infrequent, and what it's what's happened

0:17:54.560 --> 0:17:58.919
<v Speaker 1>if you look at the history of of infectious disease outbreaks,

0:17:59.000 --> 0:18:03.480
<v Speaker 1>is that we get caught in this pattern of you know, panicking,

0:18:03.560 --> 0:18:08.760
<v Speaker 1>freaking out, responding, rushing, you know, healthcare responses, and then

0:18:08.800 --> 0:18:12.200
<v Speaker 1>when the crisis you know, passes, we kind of moved

0:18:12.240 --> 0:18:15.720
<v Speaker 1>back into this position of studied in action. And the

0:18:15.840 --> 0:18:19.280
<v Speaker 1>reason we can't do that any longer is that the

0:18:19.320 --> 0:18:24.959
<v Speaker 1>cadence of these infectuous disease outbreaks this century have been increasing,

0:18:25.240 --> 0:18:29.320
<v Speaker 1>and the reasons are for multi you know, fascinated. I mean,

0:18:29.359 --> 0:18:32.959
<v Speaker 1>one big one is that humanity is just kind of

0:18:33.080 --> 0:18:37.480
<v Speaker 1>encroaching on natural habitats. As we know, our mega cities

0:18:37.520 --> 0:18:42.800
<v Speaker 1>take off in our industry, which is livestock intensive, keeps

0:18:42.920 --> 0:18:46.240
<v Speaker 1>you know, expanding. So again we need to use our

0:18:46.320 --> 0:18:51.280
<v Speaker 1>best technologies and build a surveillance system, you know, at

0:18:51.320 --> 0:18:53.359
<v Speaker 1>the microbe level. We kind of have to take the

0:18:53.480 --> 0:18:57.400
<v Speaker 1>contest to them rather than letting them kind of run

0:18:57.680 --> 0:19:01.439
<v Speaker 1>wild in our populations owners, and and we we end

0:19:01.520 --> 0:19:05.240
<v Speaker 1>up with these terrible situations where you know, Um, Brian,

0:19:05.280 --> 0:19:10.439
<v Speaker 1>I'm I'm curious. Um uh. Some some buzzwords, uh have

0:19:10.600 --> 0:19:15.119
<v Speaker 1>cameos in the excerpt, Um, but I'm really genuinely curious

0:19:15.160 --> 0:19:19.240
<v Speaker 1>about how AI factors into this because what you're talking

0:19:19.240 --> 0:19:23.080
<v Speaker 1>about here, the data sets are are obviously enormous. UM,

0:19:23.160 --> 0:19:26.320
<v Speaker 1>and how is AI playing out in terms of how

0:19:26.359 --> 0:19:30.200
<v Speaker 1>we could potentially meet meet the challenge that the microbe

0:19:30.240 --> 0:19:33.320
<v Speaker 1>is presented. Yeah, when you talk to people in the

0:19:33.359 --> 0:19:37.840
<v Speaker 1>worlds of biology and computer science, they're very excited about

0:19:38.520 --> 0:19:42.399
<v Speaker 1>the possible applications of of AI and drug discovery. You know,

0:19:42.520 --> 0:19:47.439
<v Speaker 1>just like mathematics was a very powerful descriptive language for

0:19:47.560 --> 0:19:51.280
<v Speaker 1>physics less century. A lot of people think AI is

0:19:51.280 --> 0:19:54.720
<v Speaker 1>going to help us decode the complexity of biology. And

0:19:54.720 --> 0:19:59.280
<v Speaker 1>why is that, Well, so much of biology is becoming digital.

0:19:59.440 --> 0:20:02.119
<v Speaker 1>You know, we're now out building these pretty big bio banks.

0:20:02.119 --> 0:20:06.159
<v Speaker 1>When people you know, genetically sequence of microbe or a

0:20:06.280 --> 0:20:10.480
<v Speaker 1>cell or complex of cells, that all gets stored away

0:20:10.600 --> 0:20:15.080
<v Speaker 1>in databases that AI programs can kind of rifle through.

0:20:15.119 --> 0:20:18.040
<v Speaker 1>And you know, one of the most dramatic examples of

0:20:18.080 --> 0:20:20.399
<v Speaker 1>that was just happened a few years ago at m

0:20:20.480 --> 0:20:26.240
<v Speaker 1>I T. We're synthetic biologist James Collins and his team

0:20:26.480 --> 0:20:31.240
<v Speaker 1>used an AI program to rifle through like a hundred

0:20:31.680 --> 0:20:36.440
<v Speaker 1>million chemical compounds. Gave them some instructions about what kind

0:20:36.480 --> 0:20:40.320
<v Speaker 1>of antibiotic they might be interested in, and the program

0:20:40.440 --> 0:20:45.919
<v Speaker 1>found it, and they found a structurally unique uh antibody

0:20:46.200 --> 0:20:51.160
<v Speaker 1>antibiotic that they nicknamed Heels, you know, the creepy computer

0:20:51.280 --> 0:20:54.800
<v Speaker 1>from two thousand and one. Brian, We're gonna have to

0:20:54.920 --> 0:20:57.560
<v Speaker 1>leave it there just very quickly five seconds. Optimistic or

0:20:57.560 --> 0:21:04.000
<v Speaker 1>pessimistic after writing this book, I'm optimistic optimistic there it is.

0:21:04.119 --> 0:21:07.480
<v Speaker 1>Brian Bramer Global Business executive editor his new book out

0:21:07.520 --> 0:21:10.160
<v Speaker 1>Man Versus Microbe What Will It Take to Win? Also

0:21:10.240 --> 0:21:13.080
<v Speaker 1>joined by Joe Webber, the editor of Bloomberg Business Week.

0:21:13.160 --> 0:21:18.119
<v Speaker 1>This is Bloomberg. You're listening to Bloomberg Business Week with

0:21:18.240 --> 0:21:23.600
<v Speaker 1>Carol Messer and Bloomberg Quick Takes Tim Stinovic on Bloomberg Radio. Well,

0:21:23.640 --> 0:21:27.000
<v Speaker 1>bitcoin is down nearly from its highs back in November.

0:21:27.440 --> 0:21:29.960
<v Speaker 1>Terry us D and Luna have collapsed. We've covered that

0:21:30.040 --> 0:21:33.160
<v Speaker 1>closely here over the last two weeks. What's it looking

0:21:33.200 --> 0:21:37.120
<v Speaker 1>like when it comes to crypto at least in venture capital?

0:21:37.400 --> 0:21:39.760
<v Speaker 1>For that, we turned to Rob Frasca, managing partner at

0:21:39.800 --> 0:21:43.440
<v Speaker 1>Cosmo Ventures. It's a venture capital fund. It's tokenized to

0:21:43.520 --> 0:21:47.720
<v Speaker 1>invest in early stage blockchain projects and opportunities. Rob, how

0:21:47.760 --> 0:21:51.879
<v Speaker 1>are you. I'm doing great? How are you? We're doing well?

0:21:51.960 --> 0:21:53.760
<v Speaker 1>I mean, you know, it is a bear market, but

0:21:54.040 --> 0:21:56.639
<v Speaker 1>it is Friday. It is Friday, so yes, there's a

0:21:56.680 --> 0:22:01.440
<v Speaker 1>silver lining to everything right arm this weekend? We are. Well,

0:22:01.440 --> 0:22:04.280
<v Speaker 1>you're somebody who's seen You're somebody who's seen quite a

0:22:04.320 --> 0:22:07.480
<v Speaker 1>few market cycles, and I'm wondering how you're viewing this

0:22:07.600 --> 0:22:10.800
<v Speaker 1>specifically right now in your world, not in the world

0:22:10.840 --> 0:22:15.680
<v Speaker 1>of public equities, but in the in the world of blockchain. Yeah.

0:22:15.720 --> 0:22:18.760
<v Speaker 1>So I'm an early dot com guy. I get a

0:22:18.800 --> 0:22:23.200
<v Speaker 1>budget companies through the whole kind of dot com life cycle.

0:22:24.040 --> 0:22:28.280
<v Speaker 1>H took one public, took another one um and sold it. Uh.

0:22:28.840 --> 0:22:31.400
<v Speaker 1>And so I you know, when I look at what's

0:22:31.400 --> 0:22:35.480
<v Speaker 1>happening here, it's it's very similar. You know, tech grows exponentially,

0:22:36.000 --> 0:22:38.960
<v Speaker 1>and generally what winds up happening in tech is there's

0:22:38.960 --> 0:22:41.879
<v Speaker 1>a lot of excitement. Uh. And there's there and and

0:22:41.920 --> 0:22:45.160
<v Speaker 1>that excitement of the promise of a new technology, people

0:22:45.240 --> 0:22:47.480
<v Speaker 1>jump in and then you kind of get a little

0:22:47.480 --> 0:22:51.920
<v Speaker 1>bit of over exuberance, uh, you know around that tech,

0:22:51.960 --> 0:22:54.439
<v Speaker 1>and it tends to go a little bit beyond what

0:22:54.720 --> 0:22:59.440
<v Speaker 1>it's promises at that moment. And you know, uh, you

0:22:59.480 --> 0:23:03.119
<v Speaker 1>can't get caught up in kind of the short term volatility.

0:23:03.160 --> 0:23:07.440
<v Speaker 1>If you really believe in a new technology, you really

0:23:07.480 --> 0:23:12.080
<v Speaker 1>believe in what the capabilities are and the value creation

0:23:12.160 --> 0:23:14.760
<v Speaker 1>it's going to be, Uh, then you've got to take

0:23:14.800 --> 0:23:19.359
<v Speaker 1>a longer term focus. So I think that, you know,

0:23:19.480 --> 0:23:22.919
<v Speaker 1>I always we invest in blockchain. We believe that blockchain

0:23:23.760 --> 0:23:26.680
<v Speaker 1>is really I actually think it's bigger than the Internet. Itself.

0:23:27.000 --> 0:23:30.480
<v Speaker 1>I think it's the single about Yeah, I had a single.

0:23:30.560 --> 0:23:33.080
<v Speaker 1>Uh well, you know, when you think about the early

0:23:33.160 --> 0:23:35.160
<v Speaker 1>days of the Internet, right, what was it all about.

0:23:35.200 --> 0:23:38.239
<v Speaker 1>It was all about kind of peer to peer content, right,

0:23:38.240 --> 0:23:41.560
<v Speaker 1>all of a sudden, anybody could create a content and

0:23:41.600 --> 0:23:44.000
<v Speaker 1>publish it. And now we've got a world where everybody's

0:23:44.040 --> 0:23:47.040
<v Speaker 1>a content creator, right, And and I did a company

0:23:47.040 --> 0:23:49.440
<v Speaker 1>in that in that space. And then you think about

0:23:49.440 --> 0:23:52.200
<v Speaker 1>the second phase of the Internet, it was kind of

0:23:52.280 --> 0:23:56.159
<v Speaker 1>the decentralization or the peer to peer of communication. And

0:23:56.200 --> 0:24:01.520
<v Speaker 1>then kind of the third phase was the decentralization of commerce.

0:24:02.240 --> 0:24:06.120
<v Speaker 1>Now anybody can sell anything to anybody. And the one

0:24:06.280 --> 0:24:08.280
<v Speaker 1>the one thing in our world that's still kind of

0:24:08.320 --> 0:24:14.160
<v Speaker 1>centralized is is trust. Right. We use banks, we use brokers,

0:24:15.160 --> 0:24:18.040
<v Speaker 1>Our entire society is based on this kind of concept

0:24:18.080 --> 0:24:22.600
<v Speaker 1>of centralized trust, and and and and and it's it's

0:24:22.600 --> 0:24:25.760
<v Speaker 1>a problem when you kind of connect those central institutions

0:24:25.760 --> 0:24:28.800
<v Speaker 1>of trust to a network world like the Internet, right,

0:24:28.920 --> 0:24:32.560
<v Speaker 1>become kind of hacker targets. Right. So what blockchain does

0:24:33.040 --> 0:24:36.600
<v Speaker 1>is it kind of solves that problem. It decentralizes trust.

0:24:37.280 --> 0:24:39.720
<v Speaker 1>And so all of a sudden, we're kind of creating

0:24:39.760 --> 0:24:44.639
<v Speaker 1>this whole new peer to peer financial layer, and the

0:24:44.760 --> 0:24:48.800
<v Speaker 1>ramifications of that are just massive. They're just absolutely massive.

0:24:50.400 --> 0:24:53.119
<v Speaker 1>Cap Yeah, I was just gonna say, I mean, the

0:24:53.160 --> 0:24:55.280
<v Speaker 1>pitch I here for things like Web three point oh,

0:24:55.280 --> 0:24:58.720
<v Speaker 1>is that it's going to combine the blockchain and the Internet.

0:24:58.760 --> 0:25:01.200
<v Speaker 1>That basically you're going to put the Internet on the blockchain.

0:25:01.280 --> 0:25:03.119
<v Speaker 1>Do you, I mean, is that your view of it

0:25:03.160 --> 0:25:07.439
<v Speaker 1>as well? Are you investing along that thesis? Absolutely along

0:25:07.480 --> 0:25:10.560
<v Speaker 1>that thesis. We're all in on this, um, you know. I,

0:25:10.920 --> 0:25:12.639
<v Speaker 1>like I said, I'm a dot com guy and always

0:25:12.640 --> 0:25:14.960
<v Speaker 1>tell my partners, I said, man, we've seen this movie

0:25:15.000 --> 0:25:19.200
<v Speaker 1>before several times. We've been in this movie as entrepreneurs,

0:25:19.960 --> 0:25:22.960
<v Speaker 1>and we we sort of know how it ends. Uh

0:25:23.000 --> 0:25:25.800
<v Speaker 1>and and so I do believe that I think that

0:25:25.920 --> 0:25:29.399
<v Speaker 1>what web three really is is the promise of the

0:25:29.520 --> 0:25:33.760
<v Speaker 1>decentralization of everything. You know, the whole n f T craze. Right,

0:25:33.800 --> 0:25:35.760
<v Speaker 1>everybody's talking about n f T S and they talk

0:25:35.800 --> 0:25:41.040
<v Speaker 1>about these pictures and and all that stuff, right, you know, JPEGs,

0:25:41.040 --> 0:25:44.680
<v Speaker 1>It's like it's like digital Beatie dats right for me.

0:25:45.040 --> 0:25:49.199
<v Speaker 1>For me, the reason why I'm excited about n f

0:25:49.240 --> 0:25:51.879
<v Speaker 1>T S is is really what it's about is the

0:25:51.960 --> 0:25:56.959
<v Speaker 1>decentralization of digital rights. It's kind of like royalty management.

0:25:57.400 --> 0:26:04.080
<v Speaker 1>It's digital rights management, and that has profound effects on society. Right,

0:26:04.119 --> 0:26:07.560
<v Speaker 1>So it's not so much about the artwork itself. It's

0:26:07.600 --> 0:26:09.160
<v Speaker 1>the fact that now, all of a sudden, I can

0:26:09.240 --> 0:26:13.800
<v Speaker 1>use technology to kind of manage those royalties. So for

0:26:13.800 --> 0:26:17.480
<v Speaker 1>for our perspective, we're all in. We invest in this space,

0:26:18.280 --> 0:26:20.879
<v Speaker 1>and um, it's hard not to get caught up in

0:26:20.880 --> 0:26:23.680
<v Speaker 1>this kind of short term volatility. Right when you see

0:26:23.680 --> 0:26:29.440
<v Speaker 1>what's going on, You're like, holy cow, Right, I was up, Rob.

0:26:29.680 --> 0:26:30.879
<v Speaker 1>We only have a minute left, so I want to

0:26:30.880 --> 0:26:32.840
<v Speaker 1>make sure to get this in sure. We talked earlier

0:26:32.840 --> 0:26:35.320
<v Speaker 1>this week toils That Chapman. Her big take story here

0:26:35.320 --> 0:26:37.520
<v Speaker 1>at Bloomberg was about it belt the belt tightening that

0:26:37.560 --> 0:26:39.760
<v Speaker 1>we're seeing in Silicon Valley. You're not in Silicon Valley,

0:26:39.760 --> 0:26:41.960
<v Speaker 1>You're in Boston, but you do have more than twenty

0:26:42.000 --> 0:26:45.959
<v Speaker 1>portfolio companies. I'm wondering what you're telling them about this

0:26:46.040 --> 0:26:48.080
<v Speaker 1>decline that we're seeing right now. What you are you

0:26:48.119 --> 0:26:51.119
<v Speaker 1>telling them to hold off on hiring, to freeze hiring.

0:26:51.119 --> 0:26:55.280
<v Speaker 1>What are you saying? Yeah, look, ultimately this is global, Uh,

0:26:55.400 --> 0:26:59.480
<v Speaker 1>This is absolutely global. It's way beyond Silicon Valley. Uh,

0:26:59.520 --> 0:27:02.600
<v Speaker 1>this is this is a total global phenomena. Anytime you

0:27:02.600 --> 0:27:04.600
<v Speaker 1>have a down term in the market, you have to

0:27:04.640 --> 0:27:06.879
<v Speaker 1>be prudent. You've got to tell the entrepreneurs that are

0:27:06.920 --> 0:27:10.600
<v Speaker 1>running these businesses, you know, cash is king. Make sure

0:27:10.640 --> 0:27:14.960
<v Speaker 1>you understand that you've got runaway and that you can deliver. Uh. So,

0:27:15.080 --> 0:27:19.600
<v Speaker 1>you know, it would be irresponsible to not say that. However,

0:27:19.960 --> 0:27:22.960
<v Speaker 1>I do believe that this is the early early inning

0:27:23.440 --> 0:27:26.719
<v Speaker 1>of blockchain, and so I think there's a lot of

0:27:27.000 --> 0:27:29.160
<v Speaker 1>room to grow here. Only ten percent of the world

0:27:29.320 --> 0:27:31.879
<v Speaker 1>is really using us, which means there's nine of the

0:27:31.920 --> 0:27:35.159
<v Speaker 1>world yet to come online, which means a lot of

0:27:35.200 --> 0:27:40.080
<v Speaker 1>growth is still there. Um, So just deal with the

0:27:40.160 --> 0:27:43.159
<v Speaker 1>short term volatility, but really you've got to look at

0:27:43.200 --> 0:27:46.919
<v Speaker 1>the long term prospect of this. Rob Frasca, managing partner

0:27:47.080 --> 0:27:50.520
<v Speaker 1>Cosmo Ventures, robbed this afternoon joining us on the phone

0:27:50.720 --> 0:27:53.800
<v Speaker 1>from Boston. It's a tokenized venture capital fund that invest

0:27:53.840 --> 0:27:56.720
<v Speaker 1>in early stage at blockchain startups. You're listening to Bloomberg

0:27:56.760 --> 0:28:05.720
<v Speaker 1>Business Week on Bloomberg Radio. I'm brother journal Yeah, but

0:28:05.840 --> 0:28:10.600
<v Speaker 1>you let me drive. Oh no, no, no, no no, honey, please,

0:28:10.720 --> 0:28:21.200
<v Speaker 1>I'll do I want to drive? It's good question. This

0:28:21.520 --> 0:28:27.399
<v Speaker 1>is the drive to the close up on Bluebird Radio.

0:28:28.840 --> 0:28:31.879
<v Speaker 1>Well stocks getting a bid as we drive to the clothes.

0:28:31.960 --> 0:28:34.680
<v Speaker 1>We are just about ten minutes away from the clothes here.

0:28:34.720 --> 0:28:37.320
<v Speaker 1>Office session lows. The SMP five hundred down three tenths

0:28:37.320 --> 0:28:40.160
<v Speaker 1>of one percent, the Nasdaq Composit down eight tenths of

0:28:40.280 --> 0:28:42.520
<v Speaker 1>one per cent. Let's get ready to it with Alan Zaffron,

0:28:42.560 --> 0:28:45.440
<v Speaker 1>the founding partner and co CEO at I e Q Capital,

0:28:45.440 --> 0:28:48.840
<v Speaker 1>Alan joining us once again on the phone from Foster City, California. Alan,

0:28:49.040 --> 0:28:50.920
<v Speaker 1>good to have you back with us. How are you?

0:28:51.520 --> 0:28:53.560
<v Speaker 1>I'm doing great? Ten. Great to be on with you

0:28:53.600 --> 0:28:55.600
<v Speaker 1>and Katie today. It's a good day to have you

0:28:55.640 --> 0:28:58.120
<v Speaker 1>on because I'm curious about your take on on the

0:28:58.160 --> 0:29:04.160
<v Speaker 1>economy and the markets. Is the sky falling temporarily? If falling? Um,

0:29:04.200 --> 0:29:08.120
<v Speaker 1>I think the challenges We've got really bad sentiment in

0:29:08.160 --> 0:29:12.320
<v Speaker 1>the market. But bad sentiment doesn't create a market bottom,

0:29:12.720 --> 0:29:18.000
<v Speaker 1>and even lower valuations were now trading at value multiple

0:29:18.200 --> 0:29:22.320
<v Speaker 1>below the average on the SMP five Learned Index if

0:29:22.440 --> 0:29:26.840
<v Speaker 1>you believe current earnings estimates, but valuations don't create bottoms either.

0:29:26.920 --> 0:29:29.320
<v Speaker 1>It creates a bottom in the market is when the

0:29:29.400 --> 0:29:32.800
<v Speaker 1>spot finally the economy bottoms, or when the FED finally

0:29:32.840 --> 0:29:35.720
<v Speaker 1>decides to go from tightening to loosening, and there's no

0:29:35.800 --> 0:29:40.280
<v Speaker 1>evidence yet we're at either point, so we're funny. Spot

0:29:40.840 --> 0:29:44.440
<v Speaker 1>sentiment is terrible right now, so we're we're ready for

0:29:44.520 --> 0:29:47.680
<v Speaker 1>a bear market rally, but it's still probably a bear

0:29:47.760 --> 0:29:50.840
<v Speaker 1>market rally until such time as there's evidence the economy

0:29:50.840 --> 0:29:53.480
<v Speaker 1>that's very close to a bottom or the Fed is

0:29:53.560 --> 0:29:55.560
<v Speaker 1>ready to go from tightening to go back to a

0:29:55.600 --> 0:29:57.520
<v Speaker 1>more looser policy, and that that could be a while.

0:29:57.720 --> 0:30:00.680
<v Speaker 1>That could be a while, given where inflation is alan

0:30:01.080 --> 0:30:03.440
<v Speaker 1>So I'm wondering which one happens first, And what's the

0:30:03.480 --> 0:30:05.760
<v Speaker 1>sign that that you'll see that the that the economy

0:30:05.800 --> 0:30:10.000
<v Speaker 1>has at a bottom. Well, if you're looking for the

0:30:10.160 --> 0:30:12.680
<v Speaker 1>economy bottom is going to take a lot because ultimately,

0:30:12.720 --> 0:30:15.240
<v Speaker 1>when you're getting towards the bottom of economical like the

0:30:15.320 --> 0:30:17.800
<v Speaker 1>leading indicators and what you're I want to see more

0:30:17.840 --> 0:30:22.160
<v Speaker 1>far from new orders improving, relative inventories being built up,

0:30:22.320 --> 0:30:26.000
<v Speaker 1>or you're gonna see earning revision going up on companies

0:30:26.080 --> 0:30:29.640
<v Speaker 1>not down, or you're gonna see credit spreads narrowing, or

0:30:29.720 --> 0:30:33.520
<v Speaker 1>you're gonna see long term body fields rising because they've

0:30:33.560 --> 0:30:35.440
<v Speaker 1>been falling over the last couple of weeks in a

0:30:35.480 --> 0:30:38.400
<v Speaker 1>slowdown the economy that we are in the midst of,

0:30:38.520 --> 0:30:40.160
<v Speaker 1>or about to see it's going to take a well

0:30:40.240 --> 0:30:44.720
<v Speaker 1>to see that again, or you're eventually going to see, um,

0:30:44.880 --> 0:30:48.720
<v Speaker 1>other evidence of economic activity. We have to go through

0:30:48.760 --> 0:30:53.480
<v Speaker 1>this economic slowdown, which stock prices have already front and run.

0:30:53.720 --> 0:30:57.920
<v Speaker 1>Stock prices have gone down. It company hasn't really slowed

0:30:57.960 --> 0:31:01.560
<v Speaker 1>down yet, and it's about to, isn't. It's interesting to

0:31:01.600 --> 0:31:05.760
<v Speaker 1>hear you say that you know that's already priced in stocks.

0:31:05.800 --> 0:31:07.960
<v Speaker 1>I mean when you look across other asset classes, do

0:31:07.960 --> 0:31:10.360
<v Speaker 1>you think that it's also priced when he looks at

0:31:10.360 --> 0:31:15.800
<v Speaker 1>things like treasuries, when you look at the credit markets, Um,

0:31:15.840 --> 0:31:20.320
<v Speaker 1>you know, the reality is we're priced in. If this

0:31:20.480 --> 0:31:24.040
<v Speaker 1>is your run of the mill correction. On average, if

0:31:24.040 --> 0:31:26.240
<v Speaker 1>you look at the set of corrections that have taken

0:31:26.240 --> 0:31:29.400
<v Speaker 1>place since nineteen eighty, the average decline to the SMPS

0:31:29.440 --> 0:31:35.960
<v Speaker 1>about seventeen percent. However, talking about a full on recession

0:31:36.040 --> 0:31:41.440
<v Speaker 1>driven bear market, the average client peaked the valley. So

0:31:41.840 --> 0:31:45.560
<v Speaker 1>the problem what's going right now is the dispersion of

0:31:45.920 --> 0:31:48.680
<v Speaker 1>estimates among analysts and alster about what is the earnings

0:31:48.680 --> 0:31:51.720
<v Speaker 1>outlook is incredibly high. It's you're an all time record

0:31:51.800 --> 0:31:55.880
<v Speaker 1>high because there's so much uncertainty as to what impacts

0:31:55.960 --> 0:31:58.520
<v Speaker 1>the inflation that we've seen will have a profit margins,

0:31:59.640 --> 0:32:03.000
<v Speaker 1>and now why we're getting these rampant movements up and down.

0:32:03.080 --> 0:32:05.960
<v Speaker 1>It's also what makes for bear market rallies. We've already

0:32:06.000 --> 0:32:10.560
<v Speaker 1>seen two significant rallies, while following history is in a guide.

0:32:10.560 --> 0:32:13.200
<v Speaker 1>We'll see several more before we get through all this volatility.

0:32:13.240 --> 0:32:17.280
<v Speaker 1>And so I think it's a little different. Two years

0:32:17.320 --> 0:32:21.480
<v Speaker 1>ago we have the most rapid decline in Musa to

0:32:21.480 --> 0:32:25.960
<v Speaker 1>another twenty following also the most rapid recovery of a

0:32:26.000 --> 0:32:28.000
<v Speaker 1>bear market. Because he has a federal government and the

0:32:28.080 --> 0:32:30.920
<v Speaker 1>subtle reserved story, a massive amount of money in the economy,

0:32:31.360 --> 0:32:33.920
<v Speaker 1>it won't happen this time. And so as much as

0:32:34.000 --> 0:32:36.160
<v Speaker 1>I'd like to hope that we were to happen, I

0:32:36.240 --> 0:32:37.800
<v Speaker 1>think what's going to happen this time. This is a

0:32:37.920 --> 0:32:41.160
<v Speaker 1>recalibration of where valuation should be. But it's going to

0:32:41.280 --> 0:32:43.920
<v Speaker 1>take longer to get back up to where we were

0:32:44.400 --> 0:32:47.880
<v Speaker 1>because he can't count on government and subtle reserved stimulus

0:32:48.800 --> 0:32:51.960
<v Speaker 1>to proctice economy up as quickly as it did from

0:32:52.040 --> 0:32:55.440
<v Speaker 1>two years ago, and people like me suffer from recency memory.

0:32:55.480 --> 0:32:56.800
<v Speaker 1>I remember what it was like two years ago and

0:32:56.840 --> 0:32:59.040
<v Speaker 1>think it's going to pop right back up. It's going

0:32:59.120 --> 0:33:01.479
<v Speaker 1>to take a while this time. So when people are

0:33:01.520 --> 0:33:03.520
<v Speaker 1>not going to get that stimulus, So when should people

0:33:03.520 --> 0:33:06.000
<v Speaker 1>If if people have cash to deploy, when should they

0:33:06.000 --> 0:33:09.200
<v Speaker 1>start deploying that cash? Well, I think I think you

0:33:09.400 --> 0:33:12.760
<v Speaker 1>have to begin to be a buyer anytime you're at

0:33:12.800 --> 0:33:15.880
<v Speaker 1>a long term investor, when you're down on the SMP

0:33:16.040 --> 0:33:19.560
<v Speaker 1>and close down on the nasdack, if you're taking a

0:33:19.640 --> 0:33:23.000
<v Speaker 1>long term you, I think it's landish is not to

0:33:23.120 --> 0:33:26.920
<v Speaker 1>begin to dollar cop an average into the weakness. The

0:33:27.040 --> 0:33:29.800
<v Speaker 1>question is how bad could it get? Just to give

0:33:29.880 --> 0:33:32.840
<v Speaker 1>you give you a sense. Okay, we're trading right now

0:33:32.920 --> 0:33:37.080
<v Speaker 1>at about sixteen and a half times current conventional estimates

0:33:37.120 --> 0:33:40.320
<v Speaker 1>for two thousand twenties for US, we're current estimates are

0:33:40.320 --> 0:33:42.680
<v Speaker 1>around now twelve months board. If you see the market

0:33:42.760 --> 0:33:45.760
<v Speaker 1>should trade, it's at its average multiple last twenty five years.

0:33:45.760 --> 0:33:48.880
<v Speaker 1>We're already at fair value. The problem is if you

0:33:48.920 --> 0:33:50.720
<v Speaker 1>think the earnings drop and you want to lower that

0:33:50.840 --> 0:33:54.040
<v Speaker 1>multiple to where multiples trade in recessions, and there's a

0:33:54.120 --> 0:33:56.520
<v Speaker 1>wide dispersion. Call it anywhere from believing or not as

0:33:56.560 --> 0:33:58.680
<v Speaker 1>low as eight as much as twenty times earnings. Let's

0:33:58.720 --> 0:34:02.960
<v Speaker 1>call it fourteen fifteen times lower earnings. I can't make

0:34:03.000 --> 0:34:07.200
<v Speaker 1>an argument you're gonna get down to about thirty s ANDP.

0:34:07.360 --> 0:34:10.960
<v Speaker 1>That's another percent down from here that would get you

0:34:11.080 --> 0:34:16.279
<v Speaker 1>down top the bottom, which conveniently is exactly what's in

0:34:16.400 --> 0:34:20.520
<v Speaker 1>March two. Uh. If you believe that to be true,

0:34:20.560 --> 0:34:24.120
<v Speaker 1>that's a pretty bad case. You're really hitting earnings by

0:34:24.120 --> 0:34:27.719
<v Speaker 1>about ten percent from already here, which would mean inflation

0:34:27.800 --> 0:34:30.840
<v Speaker 1>stays around, probably as deeply as most bears would believe.

0:34:31.719 --> 0:34:33.120
<v Speaker 1>I think you don't know if it's going to get

0:34:33.160 --> 0:34:36.399
<v Speaker 1>that bad. And markets are ripe for rallies at any

0:34:36.480 --> 0:34:38.400
<v Speaker 1>moment in time, and if you miss the rally, you

0:34:38.440 --> 0:34:40.439
<v Speaker 1>know you missed those handful of days when we finally

0:34:40.440 --> 0:34:42.600
<v Speaker 1>snapped back, and you've missed the move. You get to

0:34:42.680 --> 0:34:45.160
<v Speaker 1>start dollar cost averaging. But depending on how barish you are,

0:34:45.560 --> 0:34:50.359
<v Speaker 1>you're dollar cost averaging slowly down either under on the INDO.

0:34:50.680 --> 0:34:53.960
<v Speaker 1>If it gets out there's no resturants, it will possible

0:34:54.160 --> 0:34:57.120
<v Speaker 1>your bottom here. But if you really bearish, you start

0:34:57.200 --> 0:34:58.920
<v Speaker 1>to bear a bitch and new ability to go slowly

0:34:59.080 --> 0:35:01.440
<v Speaker 1>because if you want to make a bear case, you know,

0:35:01.600 --> 0:35:04.920
<v Speaker 1>go down to fourteen times reduced learnings and you're down

0:35:05.040 --> 0:35:07.279
<v Speaker 1>like two D. And so if everyone wants to know

0:35:07.360 --> 0:35:09.399
<v Speaker 1>how deep is this going to be? How long can it? Laughs?

0:35:09.960 --> 0:35:12.440
<v Speaker 1>No one knows because nobody at this moment can understand

0:35:12.880 --> 0:35:15.440
<v Speaker 1>the impact of China shutting down its economy due to

0:35:15.520 --> 0:35:19.600
<v Speaker 1>COVID concerns screwing up the supply chain and the implications

0:35:19.640 --> 0:35:23.920
<v Speaker 1>for inflation, which are implications for profits. That certainty is

0:35:23.960 --> 0:35:25.920
<v Speaker 1>the problem to your point that you know, no one

0:35:25.960 --> 0:35:27.600
<v Speaker 1>can really know how deep this is going to go.

0:35:28.040 --> 0:35:29.920
<v Speaker 1>I have a sort of philosophical question. I mean, is

0:35:29.960 --> 0:35:33.000
<v Speaker 1>there any way to distinguish at this moment a bear

0:35:33.160 --> 0:35:36.279
<v Speaker 1>market rally from a true rally or is that just

0:35:36.719 --> 0:35:43.719
<v Speaker 1>impossible to know without hindsight? I mean, it's largely the ladder, um,

0:35:44.600 --> 0:35:48.279
<v Speaker 1>it's largely the ladder. It's usually what happens. Is the

0:35:48.360 --> 0:35:52.480
<v Speaker 1>problem with that is you're trying to forecast future fundamentals

0:35:52.600 --> 0:35:54.640
<v Speaker 1>and the speed of which they show up, and you

0:35:54.760 --> 0:35:57.719
<v Speaker 1>can't really do so. So I think it's impossible to

0:35:58.080 --> 0:36:00.640
<v Speaker 1>discern one from the other. All right, Alan, we only

0:36:00.680 --> 0:36:02.560
<v Speaker 1>got a minute left, but just briefly give us your

0:36:02.600 --> 0:36:04.600
<v Speaker 1>ideas of where you're deploying capital right now, because I

0:36:04.680 --> 0:36:07.320
<v Speaker 1>know that you see that you say that cash and

0:36:07.400 --> 0:36:12.600
<v Speaker 1>traditional fixed income are the least attractive asset classes. So yes, So,

0:36:12.760 --> 0:36:14.680
<v Speaker 1>first of all, if you're an inflationary environment, I think

0:36:14.960 --> 0:36:19.520
<v Speaker 1>still owning short duration income generating inflation sensitive assets like

0:36:19.800 --> 0:36:24.920
<v Speaker 1>rates or even private rates or private senior secured floating

0:36:25.040 --> 0:36:29.400
<v Speaker 1>rate lending makes tremendous sense because their inflation sensitive assets

0:36:29.440 --> 0:36:31.680
<v Speaker 1>that will do well in an inflationary environment. Secondly, if

0:36:31.680 --> 0:36:35.439
<v Speaker 1>you're looking at stocks, avoid the high beta stocks, high

0:36:35.520 --> 0:36:38.080
<v Speaker 1>the deep cyclical stocks, because if the economy is going

0:36:38.120 --> 0:36:40.920
<v Speaker 1>to weaken, the weakness and the earnings are gonna be

0:36:40.960 --> 0:36:43.960
<v Speaker 1>most rampant in those cyclical and highly leveraged names. Look

0:36:44.000 --> 0:36:47.680
<v Speaker 1>for stocks that have high operating margins, high interest rate coverages,

0:36:47.760 --> 0:36:53.160
<v Speaker 1>high returns on assets, and relatively consistent revenue streams with

0:36:53.320 --> 0:36:57.440
<v Speaker 1>low volatility, high quality companies at this point in the cycle.

0:36:57.640 --> 0:37:01.680
<v Speaker 1>Alan Zafron, founding partner and co CEO and I EQ Capital,

0:37:01.760 --> 0:37:05.400
<v Speaker 1>Allen joining us once again on the phone from Foster City, California.

0:37:06.520 --> 0:37:09.360
<v Speaker 1>Thanks for listening to Bloomberg Business Week, download the podcast

0:37:09.440 --> 0:37:12.400
<v Speaker 1>on iTunes, SoundCloud, or Bloomberg dot com, and you can

0:37:12.400 --> 0:37:14.520
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0:37:14.600 --> 0:37:17.720
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0:37:17.760 --> 0:37:18.399
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