WEBVTT - Startup Credit Crunch

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>gloom O Business Finance and tech news. The Bloomberg Business

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<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Jess Mitton and Madison Mills here in the Bloomberg Interactive

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<v Speaker 2>Brokers studio, and Maddie, I know how much you enjoy

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<v Speaker 2>talking about the consumer, also the retail space because we've

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<v Speaker 2>talked so much about these big earnings coming up, especially

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<v Speaker 2>with Amazon tomorrow, but we have another look as far

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<v Speaker 2>as how retailers really struggled in the midst of COVID

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<v Speaker 2>and especially when it comes to the inventory issues. So

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<v Speaker 2>who better to come in and chat with us about

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<v Speaker 2>the startup space, but then also the retail outlook here

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<v Speaker 2>as we head into close to the fall season, obviously

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<v Speaker 2>toward the end of the year, the holiday shopping season.

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<v Speaker 2>With Ari Trosdale, who's founder and chief executive officer of

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<v Speaker 2>CHRISP who's here in studio with us, So it's always

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<v Speaker 2>great having someone here. Thank you so much for coming

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<v Speaker 2>into the Bloomberg office here in New York. Tell us

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<v Speaker 2>first off about your company and what it is you do.

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<v Speaker 3>Great. Yeah, you've work with a lot of large retailers,

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<v Speaker 3>about two point five trillion dollars of retail spent to

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<v Speaker 3>the retailers we work with, and then we have about

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<v Speaker 3>five six hundred large brand small brands on the platform.

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<v Speaker 3>What we help with is that change of data between retailers,

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<v Speaker 3>large distributors and also the large manufacturers and the large

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<v Speaker 3>large brands. So this has historically been done with that

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<v Speaker 3>technology called EDI, which was invented fifty years ago the

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<v Speaker 3>year I was born, and hasn't been a lot of

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<v Speaker 3>innovation in kind of this connective fabric that ties all

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<v Speaker 3>these important trading partners together. But through a platform like CRISP,

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<v Speaker 3>they can exchange information much better, so everybody wins.

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<v Speaker 4>So what kind of data do you help these retailers?

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<v Speaker 4>And again, as Jess mentioned, you've got the names like Amazon,

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<v Speaker 4>BJ's all the Target, Whole Foods on this list, among

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<v Speaker 4>many other big ones. What data do you provide them

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<v Speaker 4>and how do they leverage that data into action?

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<v Speaker 3>Yeah, it's particularly in that interface between the large retailers

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<v Speaker 3>and the brands, and they typically have need for data

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<v Speaker 3>around understanding how much is on the shelf, how much

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<v Speaker 3>data is actually or how much is actuly sitting in

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<v Speaker 3>the distribution center, what.

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<v Speaker 4>Was the price or how do you help them know that?

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<v Speaker 3>So, yeah, we actually connect into a lot of these

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<v Speaker 3>legacy systems that the large retailers have, So they have

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<v Speaker 3>point of sale systems, that have warehousing systems, they have

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<v Speaker 3>logistical systems. So we help connect into these systems and

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<v Speaker 3>make bring all of that data into the clouds that

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<v Speaker 3>everybody can access. This throughout a supply chain. So if

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<v Speaker 3>I'm now on the brand side and I'm planning advertising

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<v Speaker 3>and marketing campaign or I'm going to push a new

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<v Speaker 3>product out, I understand how much I need to manufacture

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<v Speaker 3>in order to meet the demand. Now they have much

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<v Speaker 3>better view of everything that's happening across all of the

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<v Speaker 3>different retailers.

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<v Speaker 2>How long does it take for them to access that

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<v Speaker 2>type of data.

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<v Speaker 3>So it's been been a big part of they've recently

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<v Speaker 3>been able to get so many on the platform. We

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<v Speaker 3>invested a huge amount of capital into building this infrastructure,

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<v Speaker 3>but once they come on the platform, it takes less

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<v Speaker 3>than an hour. And there's a lot of changes in

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<v Speaker 3>the industry now, and some of them are around advertising right,

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<v Speaker 3>So that the retailers are leveraging their data and their

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<v Speaker 3>audience to drive more advertising revenue, they're also leveraging it

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<v Speaker 3>in data sharing programs. So you have the large Amazons

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<v Speaker 3>of the world, but you also have like a Walmart,

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<v Speaker 3>for instance, that have incredible bottom line money now from advertising,

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<v Speaker 3>and they also have a different program which is called

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<v Speaker 3>Illuminate where they actively share the data out with their suppliers.

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<v Speaker 3>So we help in that interface. How do we get

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<v Speaker 3>all of that data out of Walmart and Illuminate and

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<v Speaker 3>into all of the different systems that and a brand have.

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<v Speaker 3>You might have cloud systems that have procurement systems, they

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<v Speaker 3>have sales systems and all of that, and then we

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<v Speaker 3>want to have one view of data across all the

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<v Speaker 3>different places that they don't need the data.

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<v Speaker 4>So that's kind of a solution for when there might

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<v Speaker 4>be an undersupply of inventory for a product that's about

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<v Speaker 4>to get a big marketing push. But what about access inventory?

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<v Speaker 4>We saw that coming up a lot during the earning

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<v Speaker 4>cycle last season, particularly with names like Target. How does

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<v Speaker 4>your tool help these retailers with that?

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<v Speaker 3>Yes, so they calculate based upon sales velocity, so they

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<v Speaker 3>understand how much each store is selling this particular product,

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<v Speaker 3>understand pricing, and then understand how much inventory actually sits

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<v Speaker 3>out in the different stores, and how much inventory sits

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<v Speaker 3>in the distribution centers that support the stores. So with

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<v Speaker 3>all of that kind of real time information of consumer

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<v Speaker 3>behavior because we see every day kind of what's happening

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<v Speaker 3>in the stores, now they have an ability to do

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<v Speaker 3>much better forecasts of how much products they actually going

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<v Speaker 3>to need. And before it was much more reactive because

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<v Speaker 3>it was based upon a purchase order that would come out.

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<v Speaker 3>But now actually the suppliers and the brands have an

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<v Speaker 3>opportunity to kind of see what's going on and then

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<v Speaker 3>produce the right thing because it takes a while to

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<v Speaker 3>produce these products. And that's I think what you're alluding

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<v Speaker 3>to you to is you saw this huge build up

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<v Speaker 3>in inventory because it takes you you pushed about in today,

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<v Speaker 3>it going to take three months for this product to

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<v Speaker 3>actually arrive. So being ahead of that is kind of

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<v Speaker 3>what the tool helps with.

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<v Speaker 2>Talk to us about this startup credit crunch, because we're

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<v Speaker 2>coming off a few months ago. Obviously all of the

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<v Speaker 2>drama that went on with these regional banks with SVB

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<v Speaker 2>I was curious do you have exposure towards any sort

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<v Speaker 2>of those banks that were in California and how you

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<v Speaker 2>view that whole city.

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<v Speaker 3>Oh, that's a good, big, big shift over to So

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<v Speaker 3>that makes me very stressed. Right now. I can bring

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<v Speaker 3>up my SVB card that didn't work for a couple

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<v Speaker 3>of for a couple of days, but now I feel

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<v Speaker 3>actually very good and comfortable around it with what the

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<v Speaker 3>government there to help the banks, as that prevented a

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<v Speaker 3>big crisis. I think for startups. I actually took the

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<v Speaker 3>plastic of the televisions for as we've be and then

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<v Speaker 3>moved into New York twenty years ago Sabina for a

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<v Speaker 3>very long time and kind of seeing how that changed

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<v Speaker 3>so quickly. But I also there's a lot of other

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<v Speaker 3>banks that are coming into the space and seeing that

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<v Speaker 3>there's a great opportunity in this area. Plus as will be,

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<v Speaker 3>it's actually continuing operations very well under new ownership.

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<v Speaker 2>Do you see sort of red flags brewing up kind

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<v Speaker 2>of more broadly with startups at this point?

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<v Speaker 3>You know, I think, yes, I'm doing this for twenty

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<v Speaker 3>five years. It always goes in these huge waves of

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<v Speaker 3>way too much money that comes into the space, and

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<v Speaker 3>that drives valuations up and everything, and now the pendulum

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<v Speaker 3>is certainly on the other side of that. And I

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<v Speaker 3>liked this period more because it actually reads out a

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<v Speaker 3>lot of the non real type of startups. So I

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<v Speaker 3>believe if you solve big problems for big companies then

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<v Speaker 3>and drive high ROI now this is something that's very

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<v Speaker 3>investable and exciting for investors to be a part of.

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<v Speaker 3>So so like I love the love both faces in

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<v Speaker 3>a way, but I like this face a little bit

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<v Speaker 3>more than the frothy face.

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<v Speaker 2>Well's great getting your perspective on all things when it

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<v Speaker 2>comes to startups, but then also what your startup has

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<v Speaker 2>been doing. So it's Ari Trossdale, founder in chief executive

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<v Speaker 2>officer at CHRISP joining us in studio with Madison Mills

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<v Speaker 2>and myself. So great getting your perspective on all of this.

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<v Speaker 4>Yeah, really interesting to think about how startup funding and

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<v Speaker 4>credit tightening is kind of impacting what we're going to

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<v Speaker 4>be seeing down the pipeline, and of course getting to

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<v Speaker 4>check on the retail space as well. Jess, this is Bloomberg.

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<v Speaker 4>All right, So, in terms of needing some help here,

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<v Speaker 4>I feel like I'm the one who needs help sussing

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<v Speaker 4>out the market moves today, because obviously this Fitch downgrade

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<v Speaker 4>is a huge move, but it seems like the Treasury

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<v Speaker 4>Department is the real driver on the day because when

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<v Speaker 4>it comes to that Pitch downgrading, it feels like traders

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<v Speaker 4>don't really care, economists doubting the credibility of the move.

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<v Speaker 4>So here to make sense of the day's trade for

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<v Speaker 4>us is Elena Pappina from Bloomberg's equities team, and our

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<v Speaker 4>chief economists Anamon joining us from DC. Elena, I want

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<v Speaker 4>to start with you. Thank you so much for coming on.

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<v Speaker 4>It's great to have you here. From the perspective of

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<v Speaker 4>the market's reaction, would you say the Fitch rating is

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<v Speaker 4>kind of a non event today?

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<v Speaker 5>It was a non event yesterday after the well when

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<v Speaker 5>the decision broke and the futures who are on the

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<v Speaker 5>spy ETF we're down about zero point ten percent, so

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<v Speaker 5>it wasn't a big reaction then today. Earlier today when

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<v Speaker 5>you know, we got the announcement about the Treasury Department

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<v Speaker 5>increasing the auction size. That's when the decision actually became

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<v Speaker 5>a much bigger impact on the stock market. So we

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<v Speaker 5>are now more than down more than one percent on

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<v Speaker 5>the S ANDV five hundred. Not an unusual move, but

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<v Speaker 5>it is getting some of the bestors worried about whether

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<v Speaker 5>there is more to come.

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<v Speaker 2>I want to bring Anna into this conversation because do

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<v Speaker 2>you think that this move was actually warranted by Fitch?

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<v Speaker 6>Yeah, so I think the substance of it, which is

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<v Speaker 6>the fiscal trajectory of the US government balanty, is warranted

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<v Speaker 6>because part of it is that, you know, just three

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<v Speaker 6>weeks ago, the US Treasury released the year to date

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<v Speaker 6>a picture of fiscal deficit, and actually it surprised many

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<v Speaker 6>people by how we looked for that. In fact, the

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<v Speaker 6>deficit for twenty twenty three is expected to be much

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<v Speaker 6>larger than last year, partly because of weaker receipts. That

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<v Speaker 6>was I think one perhaps one piece of information that

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<v Speaker 6>Fitch was waiting after the debt feeling was resolved in

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<v Speaker 6>thinking you should be down road or not so because

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<v Speaker 6>this year fiscal deficit for you as is expected to

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<v Speaker 6>surge to five point seven percent, and then on the

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<v Speaker 6>longer term, the fiscal picture also doesn't look good. We

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<v Speaker 6>forecast that twenty thirty three fiscal deficit, the debt to

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<v Speaker 6>GDP ratio would be over one hundred and thirty percent

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<v Speaker 6>of GDP. So yeah, on that ground, I think the

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<v Speaker 6>decision was warranted.

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<v Speaker 4>Well, and I want to stick with you for a second,

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<v Speaker 4>because we are obviously seeing some comparisons to twelve years ago. Today,

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<v Speaker 4>a lot of people saying that it's a completely different situation.

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<v Speaker 4>Can you tell me exactly in your view how different

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<v Speaker 4>the backdrop is today versus what we saw with the

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<v Speaker 4>SMP rating downgrade in twenty eleven.

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<v Speaker 6>Well, well, first of all, I would say that my

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<v Speaker 6>view is different than the predominant view in the market

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<v Speaker 6>that ultimately the market will shrug it off this downgrade.

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<v Speaker 6>I do think there's a risk that ultimately the market

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<v Speaker 6>won't shut shrug it off and we'll be having a

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<v Speaker 6>repeat of twenty eleven. So I think most people think

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<v Speaker 6>that it's different than twenty eleven because back then we

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<v Speaker 6>still have the European debt sovereign sovereign debt crisis, and

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<v Speaker 6>today we have no well, we actually today we still

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<v Speaker 6>have a weakening global economic backdrop. Germany is looking like

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<v Speaker 6>they're in recession, China is fueling hard lending scares, and

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<v Speaker 6>US also is actually not as strong as many people.

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<v Speaker 6>I think that's the reason Number one. Number two is,

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<v Speaker 6>you know, back in and right now, when we look

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<v Speaker 6>at the US, you know, various asset market like fix

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<v Speaker 6>equities market, there's just this sort of complacency, and people

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<v Speaker 6>have been ignoring negative data, negative data surprises in the

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<v Speaker 6>last couple of months, and I feel like people are

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<v Speaker 6>kind of well just so in love with that soft

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<v Speaker 6>lending narrative that they I think markets are actually due

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<v Speaker 6>for some kind of correction. So in that sense, I

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<v Speaker 6>think we're pretty vulnerable at the stage.

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<v Speaker 2>So Elena, with that said, and looking at the Nasdaq

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<v Speaker 2>one hundred up i mean forty percent this year, and

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<v Speaker 2>then the S and P five hundred also up double digits,

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<v Speaker 2>it's an excuse to take some profits.

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<v Speaker 5>It actually can be a lot of traders have been

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<v Speaker 5>telling me that there hasn't been a catalyst to sell.

0:12:34.800 --> 0:12:38.559
<v Speaker 5>We did know that no position became overextended, it was

0:12:38.640 --> 0:12:40.920
<v Speaker 5>time for it. Whether it now comes to the catalyst

0:12:41.040 --> 0:12:43.040
<v Speaker 5>now the bigger question is is it going to be

0:12:43.040 --> 0:12:44.839
<v Speaker 5>a five percent correction? Is it going to be just

0:12:44.920 --> 0:12:48.319
<v Speaker 5>a by the deep situation with the stocks rally tomorrow

0:12:48.400 --> 0:12:51.079
<v Speaker 5>and into the weekend. So that is the big unknown.

0:12:51.400 --> 0:12:55.000
<v Speaker 5>And I want to talk about earnings because earnings have

0:12:55.240 --> 0:12:57.520
<v Speaker 5>been a big supporter to the S and P five

0:12:57.640 --> 0:13:01.360
<v Speaker 5>hundred rally over the first quarter and earlier over the

0:13:01.440 --> 0:13:04.640
<v Speaker 5>second quarter results. We do expect to see Apple and

0:13:04.760 --> 0:13:08.480
<v Speaker 5>Amazon reporting tomorrow, so that can be a potential catalyst.

0:13:08.600 --> 0:13:13.319
<v Speaker 5>You know, if they do report disappointing earnings, that trail expectations,

0:13:13.360 --> 0:13:16.040
<v Speaker 5>so that could be a catalyst for a much bigger

0:13:16.160 --> 0:13:18.440
<v Speaker 5>and potentially a more prolonged sell off.

0:13:18.840 --> 0:13:21.360
<v Speaker 2>What does positioning tell us at this point as far

0:13:21.400 --> 0:13:23.880
<v Speaker 2>as who could potentially be selling if we're talking about

0:13:23.960 --> 0:13:27.920
<v Speaker 2>hedge funds, too early to really tell that versus retail investors.

0:13:28.120 --> 0:13:30.760
<v Speaker 5>That's a great question, but we don't know yet. We

0:13:30.920 --> 0:13:35.120
<v Speaker 5>do know that retail investors have been buying into last week,

0:13:35.240 --> 0:13:37.600
<v Speaker 5>So last week was the first one when they were

0:13:37.760 --> 0:13:40.520
<v Speaker 5>net sellers of equities. You know, whether that's a smart

0:13:40.600 --> 0:13:44.160
<v Speaker 5>move considering today's route is yet to be seen. But yeah,

0:13:44.200 --> 0:13:47.319
<v Speaker 5>they kind of paired back their appetite after jumping in

0:13:47.520 --> 0:13:51.640
<v Speaker 5>earlier in May and earlier in June. So if hedge

0:13:51.679 --> 0:13:55.160
<v Speaker 5>funds decide to become big sellers, you know that that

0:13:55.480 --> 0:13:56.960
<v Speaker 5>may be an interesting story for sure.

0:13:57.400 --> 0:14:00.800
<v Speaker 4>And bringing you back in here, I'm curious is about

0:14:01.200 --> 0:14:06.760
<v Speaker 4>how you're viewing the move from Fitch from an economics perspective, because,

0:14:07.360 --> 0:14:09.760
<v Speaker 4>as you noted, we're hearing a lot of pushback today,

0:14:10.280 --> 0:14:13.520
<v Speaker 4>Jamie Diamond coming out against the move as well. Does

0:14:13.600 --> 0:14:17.120
<v Speaker 4>this hurt their credibility and does that matter?

0:14:18.400 --> 0:14:21.960
<v Speaker 6>Well? I think Fitch is kind of bringing reality back

0:14:22.000 --> 0:14:26.480
<v Speaker 6>to everybody. I think, of course, from Jamie Diamond's perspective

0:14:26.520 --> 0:14:29.600
<v Speaker 6>of market rally is great for Jamie Morgan, right, But

0:14:30.120 --> 0:14:34.240
<v Speaker 6>but I think, as I was saying before, the market

0:14:34.360 --> 0:14:37.400
<v Speaker 6>has been complacent in recent weeks because of this, you know,

0:14:37.560 --> 0:14:42.000
<v Speaker 6>preveillance of the soft lending narrative and on a on

0:14:42.360 --> 0:14:45.920
<v Speaker 6>on the eve of every recession in the past, you know,

0:14:46.040 --> 0:14:49.680
<v Speaker 6>half a century, the soft lending narratives tends to dominate

0:14:49.760 --> 0:14:53.040
<v Speaker 6>to and Fitch sorts of put the focus back on

0:14:53.160 --> 0:14:56.600
<v Speaker 6>these ugly fiscal numbers. And I thought that one of

0:14:56.680 --> 0:14:59.520
<v Speaker 6>the most interesting things that the Pitch down grade cost

0:14:59.600 --> 0:15:05.320
<v Speaker 6>it is to notice is that the Treasury data showing

0:15:05.400 --> 0:15:09.360
<v Speaker 6>the receipts and deficit that was released a couple of

0:15:09.400 --> 0:15:14.720
<v Speaker 6>weeks ago, it shows that receipts was weaker than as weakening,

0:15:14.920 --> 0:15:19.840
<v Speaker 6>and usually before a recession, receipts would weaken, and it's

0:15:19.960 --> 0:15:24.720
<v Speaker 6>always case, and I think it does confirm our suspicion

0:15:24.800 --> 0:15:27.880
<v Speaker 6>that maybe a lot of the activity data is overstating

0:15:27.920 --> 0:15:29.160
<v Speaker 6>the strength in the economy.

0:15:29.640 --> 0:15:32.720
<v Speaker 2>Something I'm curious about on a is whether or not

0:15:32.880 --> 0:15:35.840
<v Speaker 2>when you're thinking about more market moving type reading agencies,

0:15:35.880 --> 0:15:38.440
<v Speaker 2>whether it's Moody's or S and P, do you think

0:15:38.440 --> 0:15:40.400
<v Speaker 2>we'd actually see downgrades like that from them.

0:15:41.600 --> 0:15:45.280
<v Speaker 6>Well, SMP already downgraded back in twenty eleven and they

0:15:45.440 --> 0:15:49.920
<v Speaker 6>never re upgraded the US. So right now two of

0:15:50.160 --> 0:15:54.680
<v Speaker 6>three major rating agencies have taken away the US the

0:15:55.160 --> 0:15:57.920
<v Speaker 6>Stellar rating, so it's just down to Moodies now.

0:16:00.040 --> 0:16:02.120
<v Speaker 4>And on that, I guess, Elena, I want to ask

0:16:02.200 --> 0:16:04.960
<v Speaker 4>you kind of what Anna was saying earlier. Anna mentioned

0:16:05.040 --> 0:16:09.640
<v Speaker 4>that you think that the market slugging off this downgrade

0:16:09.880 --> 0:16:13.160
<v Speaker 4>is not going to be the case in the coming weeks.

0:16:13.200 --> 0:16:14.960
<v Speaker 4>Do you agree? Do you think that the market is

0:16:15.040 --> 0:16:18.040
<v Speaker 4>going to start to have a more prolonged reaction to this.

0:16:18.600 --> 0:16:23.040
<v Speaker 5>It's interesting that August and September traditionally seasonally the weakest

0:16:23.160 --> 0:16:27.600
<v Speaker 5>months of the year going back the past thirty years,

0:16:27.680 --> 0:16:30.760
<v Speaker 5>so there may be a reason for a bigger sell

0:16:30.880 --> 0:16:33.200
<v Speaker 5>of just because of a confluence of factors.

0:16:33.320 --> 0:16:33.440
<v Speaker 6>Right.

0:16:33.640 --> 0:16:36.600
<v Speaker 5>Fich obviously was a big surprise for a lot of

0:16:36.680 --> 0:16:38.920
<v Speaker 5>traders thinking that we're going to go to the moon.

0:16:39.400 --> 0:16:43.960
<v Speaker 5>It's not the case, and the positioning looks extended on

0:16:44.080 --> 0:16:50.280
<v Speaker 5>several fronts, and seasonality isn't adding confidence into the stock

0:16:50.360 --> 0:16:52.960
<v Speaker 5>market trajector in the next couple of weeks. So there

0:16:53.040 --> 0:16:56.400
<v Speaker 5>might be some choppiness in the next three to four

0:16:56.480 --> 0:16:57.800
<v Speaker 5>weeks or maybe a couple of months.

0:16:57.840 --> 0:17:00.200
<v Speaker 2>Even something I'm curio about anna is what or not

0:17:00.280 --> 0:17:02.040
<v Speaker 2>this is a wake up call for Congress.

0:17:03.600 --> 0:17:07.879
<v Speaker 6>Yeah, I think the debt ceiling fight back in June

0:17:08.000 --> 0:17:12.480
<v Speaker 6>was a missed opportunity for the both sides addressed the

0:17:12.600 --> 0:17:16.960
<v Speaker 6>real fiscal challenges, which is social security, healthcare. Right, I

0:17:17.040 --> 0:17:19.520
<v Speaker 6>mean twenty years ago when al Gore was it twenty

0:17:19.600 --> 0:17:21.800
<v Speaker 6>years ago, Yeah, twenty years ago when al Gore was

0:17:21.880 --> 0:17:24.600
<v Speaker 6>debating George Bush as they were talking about reforming social

0:17:24.640 --> 0:17:27.800
<v Speaker 6>security in lock box. Now, I don't hear that anymore

0:17:27.840 --> 0:17:30.879
<v Speaker 6>in this presidential debate. I think those issues need to

0:17:30.960 --> 0:17:33.800
<v Speaker 6>get back on the table, and I think when two

0:17:34.000 --> 0:17:37.639
<v Speaker 6>of three major ratings agencies have downgraded the US, it

0:17:37.760 --> 0:17:39.000
<v Speaker 6>certainly is a wake up call.

0:17:39.440 --> 0:17:42.280
<v Speaker 4>What's the likelihood of this actually being a wake up call?

0:17:42.359 --> 0:17:42.520
<v Speaker 7>Though?

0:17:42.680 --> 0:17:46.080
<v Speaker 4>In our next twenty seconds, Anna, I.

0:17:46.440 --> 0:17:49.080
<v Speaker 6>Don't Yeah, I'm not optimistic that it was truly.

0:17:50.400 --> 0:17:53.920
<v Speaker 4>Wouldn't it be great if the big market moving, headline

0:17:54.000 --> 0:17:57.000
<v Speaker 4>breaking news was in fact a wake up call for action?

0:17:57.920 --> 0:17:58.160
<v Speaker 8>Anna?

0:17:58.280 --> 0:18:00.760
<v Speaker 4>Thank you, thank you so much much for joining us

0:18:00.800 --> 0:18:03.520
<v Speaker 4>and on our chief economists joining us from DC and

0:18:03.560 --> 0:18:05.520
<v Speaker 4>Elena Papaina, Thank you so much. It was great to

0:18:05.600 --> 0:18:07.119
<v Speaker 4>have you in studio with us.

0:18:07.920 --> 0:18:11.479
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:18:11.520 --> 0:18:15.520
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:18:15.760 --> 0:18:18.960
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0:18:19.119 --> 0:18:22.200
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0:18:22.680 --> 0:18:25.440
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0:18:26.640 --> 0:18:29.080
<v Speaker 4>It is time for our Bloomberg Business Week segment. Joel

0:18:29.119 --> 0:18:31.320
<v Speaker 4>Weber is in the house with us in our Bloomberg

0:18:31.400 --> 0:18:34.920
<v Speaker 4>Interactive Broker's studio Joel, thank you so much for coming

0:18:34.960 --> 0:18:36.879
<v Speaker 4>into Oh, you know, it's always a pleasure. It's always

0:18:36.920 --> 0:18:39.600
<v Speaker 4>a pleasure. We're going to talk about Amazon as the

0:18:39.800 --> 0:18:41.880
<v Speaker 4>next potential grocery.

0:18:42.720 --> 0:18:43.080
<v Speaker 1>That's right.

0:18:43.200 --> 0:18:47.280
<v Speaker 9>So Matt Day has a very interesting story in the

0:18:47.400 --> 0:18:51.639
<v Speaker 9>issue forthcoming issue about kind of a reboot that's going

0:18:51.680 --> 0:18:56.760
<v Speaker 9>to happen at Amazon. Obviously, Whole Food's part of that portfolio,

0:18:56.800 --> 0:18:58.760
<v Speaker 9>but there's a lot of other things in that portfolio.

0:18:59.840 --> 0:19:02.680
<v Speaker 9>That's how we're you know, the story basically goes through

0:19:03.160 --> 0:19:04.399
<v Speaker 9>what Amazon's going to do about it.

0:19:04.960 --> 0:19:07.720
<v Speaker 4>Incredible. So I think this is a great time for

0:19:07.800 --> 0:19:10.320
<v Speaker 4>us to bring in Bloomberg technology reporter Matt Day, who's

0:19:10.359 --> 0:19:12.720
<v Speaker 4>joining us on zoom here. Matt, thank you so much

0:19:13.040 --> 0:19:15.600
<v Speaker 4>for joining us. I know you just heard Joel's intro,

0:19:15.800 --> 0:19:17.720
<v Speaker 4>but tell us a little bit more about your story

0:19:17.880 --> 0:19:18.920
<v Speaker 4>and what people.

0:19:18.760 --> 0:19:19.440
<v Speaker 3>Need to know about it.

0:19:20.440 --> 0:19:23.160
<v Speaker 7>So Amazon, over what's called it twenty years of experimenting

0:19:23.200 --> 0:19:25.359
<v Speaker 7>in groceries. They have a mishmash of businesses, right. They

0:19:25.400 --> 0:19:27.760
<v Speaker 7>have Amazon Fresh where they'll deliver you know, to your

0:19:27.840 --> 0:19:30.800
<v Speaker 7>home fresh food. They've got a Whole Foods, which they

0:19:30.840 --> 0:19:33.480
<v Speaker 7>bought us six years ago, and they've got Amazon Fresh.

0:19:33.560 --> 0:19:36.080
<v Speaker 7>The brick and mortar store. There's forty four of those,

0:19:36.160 --> 0:19:38.880
<v Speaker 7>and then Amazon pause when they were cutting costs about

0:19:38.920 --> 0:19:41.919
<v Speaker 7>a year ago. They're trying to kind of meld those together.

0:19:42.760 --> 0:19:45.480
<v Speaker 7>They're trying to expand kind of on all fronts. You know,

0:19:45.600 --> 0:19:47.920
<v Speaker 7>Amazon basically took a hard look at it's grocery business

0:19:48.000 --> 0:19:50.440
<v Speaker 7>that we still think we want to be here. We

0:19:50.600 --> 0:19:52.520
<v Speaker 7>just need these pieces to kind of play nicer together.

0:19:52.560 --> 0:19:54.440
<v Speaker 7>And so they've and that's a bunch of things that

0:19:54.520 --> 0:19:56.280
<v Speaker 7>maybe that one the stopper is going to notice. First,

0:19:56.359 --> 0:19:57.760
<v Speaker 7>you know, you don't have to be a Prime member

0:19:57.920 --> 0:20:00.520
<v Speaker 7>to order groceries at Amazon anymore, at the first for them,

0:20:00.600 --> 0:20:03.120
<v Speaker 7>since they started selling groceries online in two thousand and seven.

0:20:03.240 --> 0:20:05.680
<v Speaker 7>Previously you always had to pay into Prime. Now, you know,

0:20:05.800 --> 0:20:07.960
<v Speaker 7>it's just kind of a referral or at least some

0:20:08.119 --> 0:20:10.400
<v Speaker 7>sort of some sort of fea gatekeep that. So they're

0:20:10.440 --> 0:20:12.400
<v Speaker 7>really trying to alight a fire into this business after

0:20:12.640 --> 0:20:14.200
<v Speaker 7>flailing for a few years.

0:20:14.880 --> 0:20:18.359
<v Speaker 9>Why is why do this? Why do any of this?

0:20:18.480 --> 0:20:20.520
<v Speaker 9>What's the problem that they're trying to solve?

0:20:21.400 --> 0:20:23.960
<v Speaker 7>I mean the problem is sort of size and scale.

0:20:23.960 --> 0:20:25.879
<v Speaker 7>You know, Amazon wants to be a big deal. Amazon

0:20:25.920 --> 0:20:27.840
<v Speaker 7>wants to be a big retailer, and to be a

0:20:27.880 --> 0:20:30.440
<v Speaker 7>big retailer, you have to sell food, right, to be

0:20:30.480 --> 0:20:32.919
<v Speaker 7>a big retailer for certain size. That the Walmart formula.

0:20:32.960 --> 0:20:35.000
<v Speaker 7>That's how they went from you know, very big superstore

0:20:35.119 --> 0:20:38.320
<v Speaker 7>to the world's biggest retailer. So over the years, you know,

0:20:38.400 --> 0:20:41.320
<v Speaker 7>we've we've heard tell of you know, Jeff Bezos back

0:20:41.320 --> 0:20:42.960
<v Speaker 7>in the day saying, listen, we're not going to be

0:20:43.000 --> 0:20:45.080
<v Speaker 7>one hundred million dollar business unless we sell groceries, right,

0:20:45.119 --> 0:20:47.960
<v Speaker 7>unless you get that touch point with customers, and you know,

0:20:48.119 --> 0:20:51.440
<v Speaker 7>you are the meat and dairy run that causes folks to, oh, hey,

0:20:51.520 --> 0:20:53.360
<v Speaker 7>I'll you know, grab something else while i'm there.

0:20:53.480 --> 0:20:53.600
<v Speaker 1>Right.

0:20:53.840 --> 0:20:56.160
<v Speaker 7>Amazon's very cognizant of that fact that it's the most

0:20:56.160 --> 0:20:58.320
<v Speaker 7>common shop people make, and if you want to, you know,

0:20:58.440 --> 0:21:00.840
<v Speaker 7>be a big retailer's where you've got to be. They're

0:21:01.040 --> 0:21:02.800
<v Speaker 7>recent learning, though, is that you also have to be

0:21:02.960 --> 0:21:05.800
<v Speaker 7>there in person. Amazon learned, you know, kind of the

0:21:05.800 --> 0:21:07.440
<v Speaker 7>hard way, during the pandemic and coming out of the

0:21:07.480 --> 0:21:09.600
<v Speaker 7>pandemic that you need a physical point of presence to

0:21:09.680 --> 0:21:12.320
<v Speaker 7>make a difference in grocery, which is not their comfort

0:21:12.400 --> 0:21:13.400
<v Speaker 7>zone to say the least.

0:21:14.200 --> 0:21:16.680
<v Speaker 9>It's interesting and a little jarring when you see this

0:21:16.920 --> 0:21:20.600
<v Speaker 9>table in the story of the largest US grocery market

0:21:21.200 --> 0:21:26.400
<v Speaker 9>by share Walmart number one, Kroger number two, Costco number three,

0:21:26.680 --> 0:21:29.960
<v Speaker 9>Albertson's number four, and then you get to Amazon Whole Food.

0:21:30.080 --> 0:21:34.320
<v Speaker 9>So obviously there's some big players there. There's a lot

0:21:34.400 --> 0:21:36.080
<v Speaker 9>of ground that they have to make up to take

0:21:36.119 --> 0:21:39.240
<v Speaker 9>on any of those. So, like, realistically, how far do

0:21:39.320 --> 0:21:42.320
<v Speaker 9>they think they can go just by doing this modest reboot.

0:21:43.240 --> 0:21:44.960
<v Speaker 7>I think it's going to take years, and their cognitiance

0:21:45.040 --> 0:21:47.359
<v Speaker 7>fact that it's going to take years. Their new grocery boss,

0:21:47.720 --> 0:21:49.800
<v Speaker 7>Tony Hoggitty told me, you know that they're starting to

0:21:49.840 --> 0:21:51.320
<v Speaker 7>tout this line that you know, listen to all the

0:21:51.400 --> 0:21:53.159
<v Speaker 7>grocers that are on that list. They've been around for

0:21:53.200 --> 0:21:55.280
<v Speaker 7>fifty plus years. Right, we're just getting started. We think

0:21:55.320 --> 0:21:56.880
<v Speaker 7>we're going to be in this for the long haul,

0:21:57.640 --> 0:21:59.200
<v Speaker 7>you know. But analysts are pretty sober on this.

0:21:59.280 --> 0:21:59.359
<v Speaker 2>Right.

0:21:59.359 --> 0:22:03.240
<v Speaker 7>Amazon need hundreds more stores, probably if not thousands. Amazon

0:22:03.359 --> 0:22:06.159
<v Speaker 7>needs to keep working on developing a supply chain in

0:22:06.240 --> 0:22:09.959
<v Speaker 7>fresh food, right, Like the reason Amazon and Kroger can

0:22:10.040 --> 0:22:12.560
<v Speaker 7>command such you know, good prices from the suppliers they've

0:22:12.600 --> 0:22:15.000
<v Speaker 7>got stores everywhere, right, Amazon has none of that so far,

0:22:15.040 --> 0:22:17.040
<v Speaker 7>and they're gonna have to really work hard to get

0:22:17.040 --> 0:22:19.119
<v Speaker 7>those kind of economies of scale to become a big grocer.

0:22:19.240 --> 0:22:21.040
<v Speaker 7>So the way they're setting this up is this is

0:22:21.119 --> 0:22:23.800
<v Speaker 7>kind of a you know, decade or multi decade project.

0:22:23.840 --> 0:22:25.640
<v Speaker 7>They're not going to figure this out, you know, next

0:22:25.720 --> 0:22:27.720
<v Speaker 7>fall or anything. But you know, they say they're in

0:22:27.800 --> 0:22:28.440
<v Speaker 7>it for the long haul.

0:22:29.119 --> 0:22:32.240
<v Speaker 2>Talk to us about the frustrations that customers have gone

0:22:32.280 --> 0:22:35.679
<v Speaker 2>through if you have to check out through three separate carts,

0:22:35.760 --> 0:22:37.639
<v Speaker 2>and how that all kind of ties into this.

0:22:38.560 --> 0:22:40.760
<v Speaker 7>Yeah, this is really messy for Amazon, but they you know,

0:22:40.800 --> 0:22:42.840
<v Speaker 7>if you want to buy stuff from Whole Foods, you

0:22:42.920 --> 0:22:44.959
<v Speaker 7>have a Whole Food's cart and a Whole Foods delivery

0:22:45.000 --> 0:22:47.000
<v Speaker 7>that you're going to be on the hook for. If

0:22:47.040 --> 0:22:48.880
<v Speaker 7>you want to buy stuff from Amazon Fresh, same deal.

0:22:48.960 --> 0:22:51.480
<v Speaker 7>And then maybe most confusingly, you know, you can buy

0:22:51.560 --> 0:22:53.800
<v Speaker 7>some kind of canned goods and pet food and other

0:22:53.840 --> 0:22:55.399
<v Speaker 7>things you might find in the grocery market just on

0:22:55.520 --> 0:22:57.800
<v Speaker 7>regular old Amazon dot Com that has yet another delivery.

0:22:58.280 --> 0:23:00.479
<v Speaker 7>So Amazon realizes that just doesn't line up at all

0:23:00.560 --> 0:23:02.440
<v Speaker 7>to the way people shop today, and so they've said,

0:23:02.480 --> 0:23:04.399
<v Speaker 7>you know, either later this year early next. They're fuzzy

0:23:04.400 --> 0:23:06.200
<v Speaker 7>in the timeline, but they're going to smush all those

0:23:06.200 --> 0:23:08.880
<v Speaker 7>together there. So you've got one cart one you know, ideally,

0:23:08.920 --> 0:23:11.320
<v Speaker 7>one check out experience in one one delivery afterward to

0:23:11.359 --> 0:23:13.680
<v Speaker 7>get everything you need and make Amazon really one stop

0:23:13.720 --> 0:23:16.119
<v Speaker 7>shop rather than you know, the kind of the current hodgepodge.

0:23:16.359 --> 0:23:20.960
<v Speaker 9>So does that mean that if I go get organic

0:23:21.119 --> 0:23:24.080
<v Speaker 9>groceries at Whole Foods, I can put a coke and

0:23:24.280 --> 0:23:25.840
<v Speaker 9>a bag of Rito's in that same cart?

0:23:26.600 --> 0:23:28.800
<v Speaker 7>Hypathetically you can, and not only that, but they're going

0:23:28.840 --> 0:23:31.520
<v Speaker 7>to let you actually get that in the roof of

0:23:31.720 --> 0:23:33.840
<v Speaker 7>Whole Foods, which is a first.

0:23:35.240 --> 0:23:35.480
<v Speaker 3>People.

0:23:36.080 --> 0:23:39.440
<v Speaker 9>Right, there's some Whole food fans out there that just

0:23:39.640 --> 0:23:42.359
<v Speaker 9>like they knew it was coming, man, they knew it was.

0:23:42.440 --> 0:23:46.000
<v Speaker 7>Coming, and that was I'm trying to have it both

0:23:46.040 --> 0:23:47.840
<v Speaker 7>ways a little bit, you know. There. You can get

0:23:47.960 --> 0:23:50.760
<v Speaker 7>your you know, your your young food at Whole Foods,

0:23:50.800 --> 0:23:52.520
<v Speaker 7>but it's going to be you know, not on the shelf, right,

0:23:52.520 --> 0:23:54.280
<v Speaker 7>it's gonna be some sort of click and collect type

0:23:54.320 --> 0:23:56.280
<v Speaker 7>deal where you know, listen, you know, you know, Joey,

0:23:56.280 --> 0:23:58.159
<v Speaker 7>you got to get your organics at the end of

0:23:58.160 --> 0:23:59.560
<v Speaker 7>the day, you order a head and you know you'll

0:23:59.560 --> 0:24:01.920
<v Speaker 7>get your tide pods or coke or whatever with it.

0:24:02.200 --> 0:24:03.760
<v Speaker 9>When I need Drito's, I just go to the sixth

0:24:03.800 --> 0:24:06.360
<v Speaker 9>floor here at Bloomberg to be clear.

0:24:06.480 --> 0:24:08.560
<v Speaker 2>But stuck a confession.

0:24:08.920 --> 0:24:10.840
<v Speaker 4>No, but it's a great point. And you talk about

0:24:10.880 --> 0:24:14.240
<v Speaker 4>this obviously in the story Matt, that Amazon has a

0:24:14.359 --> 0:24:18.399
<v Speaker 4>thirteen percent markup on the online purchasing. It's just not

0:24:18.600 --> 0:24:20.359
<v Speaker 4>the same price point as in Walmart. So what are

0:24:20.400 --> 0:24:21.200
<v Speaker 4>they going to do about that?

0:24:22.880 --> 0:24:24.399
<v Speaker 7>They're going to try to get scale and try to

0:24:24.480 --> 0:24:27.439
<v Speaker 7>drive lower prices. Amazon when they bought into this business,

0:24:27.560 --> 0:24:29.840
<v Speaker 7>you know, they had an organic supply chain, your door

0:24:29.880 --> 0:24:33.000
<v Speaker 7>Whole Foods. They had, you know, a set of suppliers

0:24:33.040 --> 0:24:35.399
<v Speaker 7>that really aren't the same folks as are filling the

0:24:35.440 --> 0:24:39.240
<v Speaker 7>shelves on Kroger and on Walmart. So they're just trying

0:24:39.240 --> 0:24:41.359
<v Speaker 7>to get scale and negotiate a better deal. But I

0:24:41.359 --> 0:24:44.720
<v Speaker 7>think they're also you know, they try to stay close

0:24:44.800 --> 0:24:47.440
<v Speaker 7>to Walmart, especially on online pricing. But you know, when

0:24:47.440 --> 0:24:50.240
<v Speaker 7>it comes to the physical Amazon Press stores they're rolling

0:24:50.280 --> 0:24:53.320
<v Speaker 7>out the kind of aim seems to be undercutting the

0:24:53.400 --> 0:24:57.280
<v Speaker 7>conventional grocers, right, undercutting your Kroger, undercutting Albertson's, but maybe

0:24:57.320 --> 0:24:59.840
<v Speaker 7>coming in a little bit above the real big disc

0:25:00.040 --> 0:25:02.719
<v Speaker 7>owners like a wal Mart or and all the there

0:25:02.720 --> 0:25:05.240
<v Speaker 7>are Dollar General speaking of things that are growing like crazy.

0:25:05.480 --> 0:25:09.840
<v Speaker 9>Okay, so does that mean then that the physical presence

0:25:09.960 --> 0:25:12.440
<v Speaker 9>is going to grow dramatically of what we see from

0:25:13.119 --> 0:25:14.040
<v Speaker 9>Whole Foods in Amazon.

0:25:15.160 --> 0:25:18.160
<v Speaker 7>If it works, they are rolling out a new version

0:25:18.200 --> 0:25:20.040
<v Speaker 7>of the fresh stores that they think are going to

0:25:20.040 --> 0:25:22.760
<v Speaker 7>be more inviting and draw more people in. It's less

0:25:22.800 --> 0:25:26.320
<v Speaker 7>tech heavy, it's more you know, traditional retail stuff, right,

0:25:26.720 --> 0:25:30.480
<v Speaker 7>holiday promotions and sales and stuff like that. If that

0:25:30.640 --> 0:25:33.200
<v Speaker 7>goes to plan, they have hinted they're going to expand,

0:25:33.240 --> 0:25:35.960
<v Speaker 7>but they haven't. They haven't rolled out anything formal, but

0:25:36.040 --> 0:25:37.640
<v Speaker 7>you know, they've made clear that they want to take

0:25:37.680 --> 0:25:39.560
<v Speaker 7>this nationwide and they want to take it bigger from here.

0:25:39.920 --> 0:25:42.560
<v Speaker 4>All right, Thank you so much for joining us. Matt Day,

0:25:42.600 --> 0:25:45.040
<v Speaker 4>Bloomberg News reporter, and of course we have our Bloomberg

0:25:45.080 --> 0:25:48.720
<v Speaker 4>Business Week editor Joel Weber joining us here in studio.

0:25:48.800 --> 0:25:50.720
<v Speaker 4>Thank you both so much. You can find Matt's story

0:25:50.800 --> 0:25:54.560
<v Speaker 4>on the terminal or online. Amazon kicks off biggest grocery

0:25:54.600 --> 0:25:58.080
<v Speaker 4>rebrouots since buying Whole Foods. This is Bloomberg.

0:26:00.160 --> 0:26:02.720
<v Speaker 1>Go a journal?

0:26:03.760 --> 0:26:04.159
<v Speaker 6>Now about you?

0:26:04.240 --> 0:26:04.760
<v Speaker 8>Let me drive?

0:26:05.040 --> 0:26:07.560
<v Speaker 9>Oh no, no, no, no, who's going to drive home?

0:26:08.119 --> 0:26:08.439
<v Speaker 8>Honey?

0:26:08.600 --> 0:26:08.919
<v Speaker 1>Please?

0:26:09.040 --> 0:26:10.520
<v Speaker 3>I'll do the riding gravels.

0:26:10.960 --> 0:26:12.280
<v Speaker 4>Let's mate, I want to drive.

0:26:12.280 --> 0:26:15.399
<v Speaker 6>It's a question.

0:26:16.200 --> 0:26:21.880
<v Speaker 1>Try This is the drive to the Globe dot Com.

0:26:21.960 --> 0:26:25.640
<v Speaker 1>Tim think we'll drive around on Bloomberg Radio.

0:26:26.760 --> 0:26:30.520
<v Speaker 2>Jessminton and Madison Mills here in the Bloomberg Interactive Brokers

0:26:30.600 --> 0:26:32.520
<v Speaker 2>studio on a day where you're looking at the S

0:26:32.560 --> 0:26:34.600
<v Speaker 2>and P five hundred on pace for its worst day

0:26:34.880 --> 0:26:37.920
<v Speaker 2>in a few months here, and who better to come

0:26:38.000 --> 0:26:40.080
<v Speaker 2>in and chat with us as we only have a

0:26:40.080 --> 0:26:43.480
<v Speaker 2>little less than twenty minutes before the closing bell the

0:26:43.640 --> 0:26:48.280
<v Speaker 2>Nancy Prile, who's co chief executive officer and senior portfolio

0:26:48.400 --> 0:26:53.080
<v Speaker 2>manager as Essex Investment Management on Zoom from Chicago. Nancy,

0:26:53.240 --> 0:26:56.320
<v Speaker 2>thank you so much for joining Maddie and myself on

0:26:56.480 --> 0:26:58.520
<v Speaker 2>what a day in the market's here? And I want

0:26:58.560 --> 0:27:01.120
<v Speaker 2>to start off with just what's your when it comes

0:27:01.160 --> 0:27:03.840
<v Speaker 2>to the broader stock market reaction on the heels of

0:27:03.920 --> 0:27:05.920
<v Speaker 2>obviously a confluence of a lot of events when you have,

0:27:06.280 --> 0:27:08.320
<v Speaker 2>say this Fitch downgrade, but you're also seeing a lot

0:27:08.359 --> 0:27:11.440
<v Speaker 2>of activity with these Treasury issuance in the bond market

0:27:11.480 --> 0:27:15.280
<v Speaker 2>that obviously has made some big moves there in bond yields.

0:27:17.119 --> 0:27:19.800
<v Speaker 8>We think that this move is really the pause that

0:27:19.920 --> 0:27:22.440
<v Speaker 8>we needed. If you think about where we've come from

0:27:22.520 --> 0:27:26.080
<v Speaker 8>this year. In the beginning of the year, almost everybody

0:27:26.240 --> 0:27:29.800
<v Speaker 8>was very bearish, still worried about inflation, worried about an

0:27:29.880 --> 0:27:33.200
<v Speaker 8>imminent recession, or maybe not so imminent recession, but a

0:27:33.280 --> 0:27:37.240
<v Speaker 8>recession nonetheless. And as the market's gone on, as we've

0:27:37.240 --> 0:27:40.840
<v Speaker 8>gotten excited about generative AI, as we've gotten excited about

0:27:40.880 --> 0:27:45.679
<v Speaker 8>the big cap stalwart tech companies, complacency has started to build,

0:27:46.160 --> 0:27:49.280
<v Speaker 8>and we've seen recently a crumbling of many of the

0:27:49.359 --> 0:27:53.679
<v Speaker 8>bears who have been pivoting to bullish sentiment. We've seen massive,

0:27:53.800 --> 0:27:57.399
<v Speaker 8>massive short covering by hedge funds. We've seen money flowing

0:27:57.440 --> 0:28:01.000
<v Speaker 8>into the market, both from institutions but very important from individuals,

0:28:01.480 --> 0:28:03.040
<v Speaker 8>and that's led us to a little bit of an

0:28:03.080 --> 0:28:06.639
<v Speaker 8>over bought position where even though the earnings have been

0:28:06.840 --> 0:28:09.600
<v Speaker 8>very good, in fact better than expected, and even though

0:28:09.640 --> 0:28:13.320
<v Speaker 8>the economy is proving to be resilient, expectations were just

0:28:13.359 --> 0:28:16.080
<v Speaker 8>a little ahead of themselves. We think that the Fitch

0:28:16.200 --> 0:28:19.800
<v Speaker 8>down Braide was the trigger that gave the book, that

0:28:19.920 --> 0:28:22.800
<v Speaker 8>gave people who are getting a little bit cautious about

0:28:22.920 --> 0:28:26.359
<v Speaker 8>this complacency the excuse to do a little bit of selling.

0:28:26.480 --> 0:28:28.880
<v Speaker 8>But we think this is still very orderly and it's

0:28:28.960 --> 0:28:30.760
<v Speaker 8>nothing more than a mid course correction.

0:28:31.600 --> 0:28:34.840
<v Speaker 4>Is today kind of the perfect example of why we

0:28:35.000 --> 0:28:38.680
<v Speaker 4>need to continue to worry about narrowness in a rally,

0:28:38.880 --> 0:28:42.680
<v Speaker 4>specifically speaking about the Magnificent seven kind of bringing up

0:28:43.000 --> 0:28:47.000
<v Speaker 4>markets so strongly when you have a day where bonds

0:28:47.080 --> 0:28:50.560
<v Speaker 4>might be weighing on those big tech names, Yeah, well.

0:28:50.800 --> 0:28:53.600
<v Speaker 8>I mean I would say today the weakness is weighing

0:28:53.680 --> 0:28:56.800
<v Speaker 8>on almost everything. It's a pretty broad based sell off,

0:28:57.320 --> 0:29:01.440
<v Speaker 8>hitting both large caps, small cap, growth value, et cetera. However,

0:29:01.720 --> 0:29:04.080
<v Speaker 8>you're making a really good point, which is, with a

0:29:04.240 --> 0:29:07.520
<v Speaker 8>market that has been led by such a small sector

0:29:07.560 --> 0:29:10.720
<v Speaker 8>of the market, and particularly by such a small number

0:29:10.800 --> 0:29:14.520
<v Speaker 8>of names, that it's important not to over invest in

0:29:14.760 --> 0:29:18.800
<v Speaker 8>those well recognized growth areas only, but to have a

0:29:18.880 --> 0:29:23.280
<v Speaker 8>more diversified portfolio and to look where the strength is emerging.

0:29:23.440 --> 0:29:25.960
<v Speaker 8>And what we have seen over the last couple of

0:29:26.120 --> 0:29:30.320
<v Speaker 8>months is that the market is broadening, that strength is broadening.

0:29:30.400 --> 0:29:34.120
<v Speaker 8>More sectors are participating, and really importantly, more market caps

0:29:34.160 --> 0:29:38.400
<v Speaker 8>are participating. We've seen some strength building in those small

0:29:38.480 --> 0:29:40.680
<v Speaker 8>and mid cap areas that we had not seen earlier

0:29:40.760 --> 0:29:44.840
<v Speaker 8>in the year. Those are still very attractively valued, particularly

0:29:44.880 --> 0:29:46.400
<v Speaker 8>compared to their larger cap peers.

0:29:46.760 --> 0:29:48.960
<v Speaker 2>So how are you positioning then, Did you make any

0:29:49.040 --> 0:29:51.120
<v Speaker 2>changes today with your portfolio positioning?

0:29:52.640 --> 0:29:55.520
<v Speaker 8>Well, we are not short term traders. We are long

0:29:55.680 --> 0:29:59.480
<v Speaker 8>term investors. So although we do have some open orders,

0:29:59.480 --> 0:30:02.640
<v Speaker 8>as we all always do, it's not really driven by

0:30:02.880 --> 0:30:06.560
<v Speaker 8>today's action per se. What we have been doing, though,

0:30:06.560 --> 0:30:09.800
<v Speaker 8>and we've been doing this all year, is focusing on

0:30:10.000 --> 0:30:13.880
<v Speaker 8>those areas that we believe will drive economic growth and

0:30:14.040 --> 0:30:16.560
<v Speaker 8>drive that growth in a way that's better than expected,

0:30:17.040 --> 0:30:19.240
<v Speaker 8>not just this year but really over the next couple

0:30:19.280 --> 0:30:22.760
<v Speaker 8>of years. To us, that means a big focus on industrials,

0:30:23.000 --> 0:30:27.280
<v Speaker 8>on restoring and manufacturing, reindustrialization of the United States and

0:30:27.360 --> 0:30:31.400
<v Speaker 8>the world, infrastructure spending, the transition and energy and of

0:30:31.480 --> 0:30:35.719
<v Speaker 8>the economy to a more electrified economy. So really building

0:30:35.800 --> 0:30:40.320
<v Speaker 8>exposure in those areas and taking selective profits in those

0:30:40.400 --> 0:30:43.000
<v Speaker 8>companies in those areas that maybe have gotten a little

0:30:43.000 --> 0:30:45.600
<v Speaker 8>ahead of themselves. So taking our profits on stocks that

0:30:45.680 --> 0:30:48.480
<v Speaker 8>are up fifty sixty eighty percent year to date.

0:30:49.040 --> 0:30:51.400
<v Speaker 4>What's your thinking then, on which of those stocks you

0:30:51.520 --> 0:30:54.160
<v Speaker 4>need to stay in for a second half of your

0:30:54.280 --> 0:30:57.040
<v Speaker 4>rally versus the ones that you feel comfortable getting out of.

0:30:58.520 --> 0:31:00.560
<v Speaker 8>We think that the second half of the year will

0:31:00.680 --> 0:31:03.880
<v Speaker 8>be led more down market cap, and we think it

0:31:03.920 --> 0:31:06.200
<v Speaker 8>will be led more by companies. I would kind of

0:31:06.200 --> 0:31:09.400
<v Speaker 8>agorize them as GARB companies growth at a reasonable price,

0:31:10.760 --> 0:31:14.840
<v Speaker 8>rather than deep value companies. We think that the economy

0:31:15.120 --> 0:31:20.520
<v Speaker 8>is likely to stay sluggish but hopefully positive. We think,

0:31:20.640 --> 0:31:22.400
<v Speaker 8>I mean, what we've been saying all year, and we're

0:31:22.440 --> 0:31:24.280
<v Speaker 8>not changing our tune here is that it's going to

0:31:24.280 --> 0:31:27.040
<v Speaker 8>be a bumpy landing. So at times it may feel

0:31:27.080 --> 0:31:29.560
<v Speaker 8>like we're going into a mild recession. At times it

0:31:29.640 --> 0:31:31.520
<v Speaker 8>may feel like we're not. But that means you don't

0:31:31.520 --> 0:31:33.920
<v Speaker 8>want to go deep value, but you want to focus

0:31:34.000 --> 0:31:37.040
<v Speaker 8>on those areas where they have tailwinds on economic growth.

0:31:37.440 --> 0:31:43.280
<v Speaker 8>To us, that means areas like environmental sustainability. So the

0:31:43.360 --> 0:31:46.400
<v Speaker 8>companies that are doing traditional environmental management. You can think

0:31:46.400 --> 0:31:48.840
<v Speaker 8>about landfills, you can think about incinerators, you can think

0:31:48.840 --> 0:31:51.280
<v Speaker 8>about waste clean up. We also want to focus on

0:31:51.360 --> 0:31:54.240
<v Speaker 8>this transition to this electric economy. We want to think

0:31:54.280 --> 0:31:57.560
<v Speaker 8>about the companies that are laying the groundwork for generative AI.

0:31:58.080 --> 0:32:00.040
<v Speaker 8>Now we all know about Nvidia, but there are a

0:32:00.080 --> 0:32:02.600
<v Speaker 8>lot of other companies that are below the radar screen

0:32:02.920 --> 0:32:05.040
<v Speaker 8>that are also benefiting from the build out of these

0:32:05.160 --> 0:32:08.000
<v Speaker 8>data centers. We again want to think about the restoring

0:32:08.000 --> 0:32:13.000
<v Speaker 8>of manufacturers, maybe semiconductor manufacturing equipment, factory automation equipment, those

0:32:13.120 --> 0:32:15.440
<v Speaker 8>kinds of names that are selling it multiples that are

0:32:15.480 --> 0:32:18.080
<v Speaker 8>less than twenty times, with earnings that are coming in

0:32:18.200 --> 0:32:21.200
<v Speaker 8>better than expected, and revenue growth rates where they're seeing

0:32:21.360 --> 0:32:23.480
<v Speaker 8>unit growth and not just pricing growth.

0:32:23.680 --> 0:32:26.840
<v Speaker 2>We still have about a little under two months before

0:32:27.160 --> 0:32:29.880
<v Speaker 2>the fed's next rate decision, and but we do have

0:32:30.000 --> 0:32:32.600
<v Speaker 2>Jacksonville at the end of this month. What's your view

0:32:32.800 --> 0:32:35.080
<v Speaker 2>on the fed's re hiking cycle and do you think

0:32:35.120 --> 0:32:36.440
<v Speaker 2>they are done.

0:32:38.000 --> 0:32:41.280
<v Speaker 8>Well? I think they are, in fact data dependent. It

0:32:41.360 --> 0:32:44.840
<v Speaker 8>doesn't feel like that all the time. But I thought

0:32:44.960 --> 0:32:49.240
<v Speaker 8>from Chair Powell's last comments when he spoke what was

0:32:49.280 --> 0:32:51.160
<v Speaker 8>it a week ago or maybe a week and a

0:32:51.200 --> 0:32:55.040
<v Speaker 8>half ago, and he talked about the fact that they

0:32:55.240 --> 0:33:00.560
<v Speaker 8>need to recognize the direction of inflation and not wait

0:33:00.840 --> 0:33:03.880
<v Speaker 8>until we reach the target. And that's really the first

0:33:03.960 --> 0:33:06.440
<v Speaker 8>time I've heard him say that, certainly at least in

0:33:06.480 --> 0:33:09.200
<v Speaker 8>a long time. So what he said explicitly was that

0:33:09.280 --> 0:33:12.080
<v Speaker 8>they will need to pause before we get to two percent.

0:33:12.520 --> 0:33:15.120
<v Speaker 8>They will need to cut before we get to two percent.

0:33:15.240 --> 0:33:19.440
<v Speaker 8>We just need to see clear indications, clear evidence that

0:33:19.520 --> 0:33:22.480
<v Speaker 8>we're on the way there. Our best guess is that

0:33:22.640 --> 0:33:25.840
<v Speaker 8>they won't actually say very much at Jackson Hole, that

0:33:25.960 --> 0:33:28.920
<v Speaker 8>they will keep things somewhat close to the best, waiting

0:33:29.000 --> 0:33:32.000
<v Speaker 8>to see the data that comes out between now and September.

0:33:32.960 --> 0:33:37.880
<v Speaker 8>The data so far has indicated that inflation will continue

0:33:38.000 --> 0:33:41.640
<v Speaker 8>to moderate, and therefore they could continue to pause. My

0:33:41.880 --> 0:33:45.560
<v Speaker 8>one hesitation there is that we are seeing some increases

0:33:45.640 --> 0:33:49.080
<v Speaker 8>in oil and in food, driven mostly by what's going

0:33:49.120 --> 0:33:51.800
<v Speaker 8>on in Ukraine and Russia on food side with wheat,

0:33:52.240 --> 0:33:54.480
<v Speaker 8>and that might muddy the waters a little bit in

0:33:54.560 --> 0:33:57.040
<v Speaker 8>the short run. So we could see one more twenty five.

0:33:56.920 --> 0:33:59.880
<v Speaker 2>All right, Nancy, thanks so much for joining us. Nancy Prey,

0:34:00.600 --> 0:34:04.400
<v Speaker 2>co CEO and senior portfolio manager at Essex Investment Management,

0:34:04.440 --> 0:34:06.880
<v Speaker 2>giving her perspective here on the markets on a big

0:34:07.040 --> 0:34:07.440
<v Speaker 2>down day.

0:34:07.480 --> 0:34:11.279
<v Speaker 1>Here this is the Bloomberg Business Week podcast A aail,

0:34:11.280 --> 0:34:14.239
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0:34:14.280 --> 0:34:18.279
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0:34:18.360 --> 0:34:22.160
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0:34:22.360 --> 0:34:24.880
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0:34:25.000 --> 0:34:28.520
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