WEBVTT - Walmart and Home Depot Earnings, China Tariffs

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 1>Bloomberg Intelligence Podcast. Catch us live weekdays at ten am

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<v Speaker 2>Billy Lipteltz joining us. Obviously, the memestocks. This was all

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<v Speaker 2>the rage but GameStop today, so they came out with

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<v Speaker 2>earnings kind of unexpectedly. They also were in the market

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<v Speaker 2>issuing shares. I feel like it took them a minute

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<v Speaker 2>to get it together.

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<v Speaker 3>No did, and that's really been the thing we've been

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<v Speaker 3>writing about it this week. We wrote I Believe on

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<v Speaker 3>Wednesday basically saying the window to capitalize was narrowing, if

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<v Speaker 3>not closing, because GameStop their quarter ended a few weeks ago,

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<v Speaker 3>so they needed preliminary results before they could file to

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<v Speaker 3>potentially sell shares. They did all of that this morning,

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<v Speaker 3>but Alex, as you point out, the stock was trading

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<v Speaker 3>north of fifty bucks on Tuesday. Before the even got

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<v Speaker 3>a chance to sell, it crashed back below twenty eight.

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<v Speaker 3>So now we're seeing selling pressure down twenty seven percent.

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<v Speaker 3>Fifty five million shares have traded so far. Again, an

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<v Speaker 3>ATM allows them and allows their bank to sell up

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<v Speaker 3>to forty five million chairs, not necessarily a sign that

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<v Speaker 3>they have, but reading between the lines would mean that

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<v Speaker 3>they probably are.

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<v Speaker 4>Do we have any better idea here? Who any of

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<v Speaker 4>these fifty five million share people are?

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<v Speaker 3>Like?

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<v Speaker 4>Who's trading this stuff? Again? Is it going to go

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<v Speaker 4>back to your thoughts about that the quant hedge funds

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<v Speaker 4>that are kind of really generating the activity.

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<v Speaker 3>Yeah, and we're still not seeing really the volume that

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<v Speaker 3>we saw on Fidelity, on interactive brokers, on some of

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<v Speaker 3>the retail platforms that we did see back in twenty

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<v Speaker 3>twenty one.

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<v Speaker 4>And that's that's data. You guys can see the publican see.

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<v Speaker 3>You can see it if you have an account, so

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<v Speaker 3>like I had to create a Fidelity it used to

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<v Speaker 3>not be behind the paywall.

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<v Speaker 5>They put it behind the paywall.

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<v Speaker 3>But like, if you have an account, you can see

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<v Speaker 3>what on a given day people are buying and selling.

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<v Speaker 5>It's just the orders, but it's mixed at SPENSA. I

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<v Speaker 5>do not want a personal account.

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<v Speaker 4>Oh, I thought you were just did it for reporting?

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<v Speaker 3>No, I do now expense a premium exitcount, though that

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<v Speaker 3>was a recent edition nice, good small ones.

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<v Speaker 2>CRETA won't mind the big the small ones matter. Do

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<v Speaker 2>we know why it didn't last longer? Is this just

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<v Speaker 2>basically there's weren't as many shorts out there? Is that

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<v Speaker 2>why the Memestock rally was a hot minute.

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<v Speaker 5>It's a really different backdrop.

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<v Speaker 3>So not only do you not have people stuck at

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<v Speaker 3>home looking for entertainment, flush with stimulus checks, short interest

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<v Speaker 3>is about twenty five percent. It used to be north

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<v Speaker 3>of one hundred back in the peak mania. A lot

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<v Speaker 3>of Again, the buying and selling that we saw Monday

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<v Speaker 3>and Tuesday seemed to have Wall Street's fingerprints, so it

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<v Speaker 3>never really got retail traders back in like back in

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<v Speaker 3>twenty twenty one. And also you had a quiet Monday

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<v Speaker 3>and Tuesday session ahead of the inflation data on Wednesday.

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<v Speaker 3>And then you add in the fact that investors, retail

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<v Speaker 3>traders probably bought in and were sitting on big paper losses,

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<v Speaker 3>so you provide an exit rant for them.

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<v Speaker 5>Why would they not take advantage?

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<v Speaker 6>Did Bill Gross make money on this with his straddle?

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<v Speaker 5>He still is those expired today.

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<v Speaker 3>I haven't talked to him since he told you he

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<v Speaker 3>laid out the initial trade, so he might have closed

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<v Speaker 3>it or tapered it down, but that straddle still is

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<v Speaker 3>very much in played in the in the money, assuming

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<v Speaker 3>shares don't.

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<v Speaker 4>So he bought calls and puts at forty dollars, right.

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<v Speaker 5>He sold you logged in, So now I'm off the terminal.

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<v Speaker 3>Oh but you were using my log I sat down

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<v Speaker 3>where you.

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<v Speaker 5>Were marriage off.

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<v Speaker 6>Though.

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<v Speaker 4>There's a certain person, a morning anchor that leaves his

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<v Speaker 4>Twitter account open.

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<v Speaker 6>Does I find that helpful?

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<v Speaker 7>Yes?

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<v Speaker 1>I know.

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<v Speaker 6>Let me.

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<v Speaker 4>I want to go to another area here. But we

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<v Speaker 4>were just talking about Reddit and how that was such

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<v Speaker 4>a great ipo and they had some good news today,

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<v Speaker 4>pop on the stock up again. Here we have a

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<v Speaker 4>number of really good IPOs performing over the last couple

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<v Speaker 4>of months. I got David Solomon up on stages saying,

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<v Speaker 4>the backlogs building. We're all my IPOs.

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<v Speaker 5>I need to see five or six a week. The

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<v Speaker 5>backlog has been building for three years.

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<v Speaker 3>Of every banker you talked to is like, the backlog's

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<v Speaker 3>been better than it's ever been.

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<v Speaker 4>I want to see days when we have four printing,

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<v Speaker 4>like on a Thursday.

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<v Speaker 5>Yeah, well, don't hold your breath.

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<v Speaker 6>So what are we waiting for here? At this point?

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<v Speaker 3>Well, the real thought is is drawing back investors.

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<v Speaker 5>So you have read it performing well.

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<v Speaker 3>You have a stera of labs, Viking, Bougie cruises for

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<v Speaker 3>lack of a better frame, all performing well.

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<v Speaker 5>But you have to get deals that are priced well.

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<v Speaker 3>To Paul's point, make the investors money, make the sponsors happy,

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<v Speaker 3>and perform well. And that's really still kind of weaning

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<v Speaker 3>back into the system. There is still uncertainty around how

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<v Speaker 3>much of a slowdown what we have in the summer,

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<v Speaker 3>just because bankers and investors are on vacation. We do

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<v Speaker 3>have an election in November. It seems like we will

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<v Speaker 3>have a more active than usual June July than historically speaking.

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<v Speaker 3>But the big focus still is on that post Labor

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<v Speaker 3>Day window, which will be kind of compressed because you

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<v Speaker 3>want to get out before the election, but also when

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<v Speaker 3>people are actually at their desks and you can go

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<v Speaker 3>visit t Row and Fidelity and have a real pitche.

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<v Speaker 4>There are days back in the day when Morgan Stanley

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<v Speaker 4>Goldman's as a credit Swisser song, we do have to

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<v Speaker 4>get on the phone and say, all right, guys, we're

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<v Speaker 4>all going to be in New York on Thursday. We

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<v Speaker 4>got to coordinate this are you do your lunch at

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<v Speaker 4>the Four Seasons eleven, I'll do mine at the Intercontinental twelve?

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<v Speaker 4>You do years. That's how busy it was, you know.

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<v Speaker 4>And and because you get those those windows, I.

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<v Speaker 6>Feel like I haven't this window.

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<v Speaker 3>Well that's and when I talk to investors in bankers,

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<v Speaker 3>the big argument that they make is the window has

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<v Speaker 3>always been open for good companies. It's just that good

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<v Speaker 3>companies who have access to the private markets maybe don't

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<v Speaker 3>want to go out just yet and be.

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<v Speaker 5>The first here.

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<v Speaker 4>I mean, these Pea guys whining. They've been sitting in

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<v Speaker 4>these things for five, six, seven, eight, ten years.

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<v Speaker 5>They're looking for an exit.

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<v Speaker 4>Well, like, okay, if you don't want to like you know,

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<v Speaker 4>if you don't want to take the streets mark, then

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<v Speaker 4>let's hit it. Let's go.

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<v Speaker 5>Well, that's the big issue on a down round. You

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<v Speaker 5>have to call it a down round.

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<v Speaker 3>You have to cave a little bit on valuation, especially

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<v Speaker 3>because a lot of to your point, a lot of

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<v Speaker 3>these pe assets are heavily straddled with debt, and investors

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<v Speaker 3>don't want debt right now. They want clean uh stories

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<v Speaker 3>they can be sold to them. Viking was one that's

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<v Speaker 3>interesting that has a large detlog, but it's viewed as

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<v Speaker 3>kind of being recession proof because it's wealthy people, older

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<v Speaker 3>people taking cruises.

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<v Speaker 2>Interesting, you just did a flux there. He called it

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<v Speaker 2>a flex before wealthy people taking cruises. All right, Bailey,

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<v Speaker 2>thanks a lot, super appreciated.

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<v Speaker 6>Happy weekend.

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<v Speaker 2>Billy Lipschaltz joining us Ipo market as well as the

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<v Speaker 2>Meme stocks.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

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<v Speaker 1>Android Auto with the Bloomberg Business. You can also listen

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<v Speaker 1>live on Amazon Alexa from our flagship New York station

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<v Speaker 1>just say Alexa playing Bloomberg eleven thirty.

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<v Speaker 2>It has been definitely a week. We had some nice records.

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<v Speaker 2>We haven't seen this kind of move in months for

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<v Speaker 2>the S and P.

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<v Speaker 6>So what do you do?

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<v Speaker 2>On a headline level, we may continue to be a

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<v Speaker 2>little bit boring, but underneath there's some really individual stock

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<v Speaker 2>moves that are gaining a lot of traction here. So

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<v Speaker 2>let's get more with Shelby McFadden, investment analyst at Motley

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<v Speaker 2>Full Asset Management. She is joining us. So, Shelby, are

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<v Speaker 2>we in a world where like the headline level is

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<v Speaker 2>going to continue to grind higher, but it's going to

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<v Speaker 2>be those individual names where you get the action, you know.

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<v Speaker 6>I think that's absolutely possible.

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<v Speaker 8>And part of it is we've seen the evidence of

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<v Speaker 8>that happening for not just one year, but two years, right.

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<v Speaker 8>We've seen it go from the S and P five

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<v Speaker 8>hundred to sort of the S and P seven to

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<v Speaker 8>the SMP four, And so it's not completely unreasonable to

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<v Speaker 8>have to pop the hood and really see, breaking into

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<v Speaker 8>sectors and industries, what's really going on in the market.

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<v Speaker 8>And so if you're sort of just interesting in owning

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<v Speaker 8>the overall market and being okay with it being driven

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<v Speaker 8>by fewer than ten stocks, sure, but the inverse is

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<v Speaker 8>not necessarily true that how those top ten are doing

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<v Speaker 8>is necessarily representative of the overall market.

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<v Speaker 4>Shelby, we had a I guess a weaker than expected

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<v Speaker 4>retail sales number yesterday, yet combined with some pretty strong

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<v Speaker 4>sales numbers out of Walmart. How do you square those

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<v Speaker 4>two things? How do you view the consumer out there?

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<v Speaker 8>I think when we sort of look at those two things,

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<v Speaker 8>we see the fact that consumers are looking for value.

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<v Speaker 8>And so when we do look at Walmart. We consider

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<v Speaker 8>the fact that general merchandise for that retailer is still

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<v Speaker 8>weaker than they would like to see, and a lot

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<v Speaker 8>of the performance comes from the necessities like food and

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<v Speaker 8>different staples.

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<v Speaker 5>So when we see those.

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<v Speaker 8>Weaker retail sales, we're realizing that discretionary income is still

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<v Speaker 8>being pressured quite a bit, and that when people are

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<v Speaker 8>looking to spend what discretionary income they have, they're looking

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<v Speaker 8>to get value. So in the past they may have

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<v Speaker 8>been a little bit indifferent about saying, let's just go

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<v Speaker 8>ahead and order the TV from this online retailer or

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<v Speaker 8>pick it up from this standard big box retailer. Now

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<v Speaker 8>they're considering, you know what, let's check out Walmart. I

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<v Speaker 8>think they actually have a lot of value that they

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<v Speaker 8>can offer us.

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<v Speaker 2>For those of you who didn't hear yesterday's show, Paul

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<v Speaker 2>is going to a Walmart for the first time in

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<v Speaker 2>a long time.

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<v Speaker 6>Is going to some channel checks.

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<v Speaker 2>Tomorrow, right, Yep, it's going to be huge. So Walmart

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<v Speaker 2>stock at a fifty two week high today. Is this

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<v Speaker 2>priced in? Or is there more upside here? You think

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<v Speaker 2>to Walmart?

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<v Speaker 8>I think part of what we're also seeing in the

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<v Speaker 8>sort of little Walmart run up is the fact that

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<v Speaker 8>they've made that decision i think within the last couple

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<v Speaker 8>of weeks to close a lot of their health clinics.

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<v Speaker 8>And they're also having some staff reduction and they're cracking

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<v Speaker 8>down on folks working remotely, so they're doing some of

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<v Speaker 8>that op X as well. So what we're seeing now

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<v Speaker 8>is the effect of the bottom line boost. So at

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<v Speaker 8>first Walmart was able to sort of hold onto their

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<v Speaker 8>top line for a bit longer than others.

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<v Speaker 5>I think what's being priced.

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<v Speaker 8>In now is the fact that they are leaning out

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<v Speaker 8>in ways that they don't usually take on. They traditionally

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<v Speaker 8>just kind of cut their hourly workforce, but now they're

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<v Speaker 8>really looking at the big picture of investment, and I

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<v Speaker 8>think that's the sort of pop in the stock we

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<v Speaker 8>saw yesterday.

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<v Speaker 4>So Shelby, I guess one of the questions here is,

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<v Speaker 4>I guess the lower end of consumer, how are they

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<v Speaker 4>dealing with? Where are they going with their dollars? Is

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<v Speaker 4>it to are they staying with Walmart target, They're going

0:09:50.000 --> 0:09:52.760
<v Speaker 4>down to the dollar stores? How is the lower end

0:09:52.800 --> 0:09:55.240
<v Speaker 4>consumer how are they spending their discretionary income.

0:09:56.720 --> 0:09:59.320
<v Speaker 8>I think what we've seen in a combination of between

0:09:59.360 --> 0:10:03.440
<v Speaker 8>Walmart and they're sort of not retailers but manufacturers that

0:10:03.480 --> 0:10:07.280
<v Speaker 8>have branded material. Is that consumers are choosing brands even

0:10:07.280 --> 0:10:10.640
<v Speaker 8>at the lower end where there is the most premiumization

0:10:10.760 --> 0:10:14.520
<v Speaker 8>that they require, But then they are choosing more of

0:10:14.520 --> 0:10:17.280
<v Speaker 8>a Walmart over a Target at the lower end because

0:10:17.320 --> 0:10:20.040
<v Speaker 8>at this point you can't really stop how much food

0:10:20.080 --> 0:10:23.000
<v Speaker 8>you're going to need. You can try and make your

0:10:23.240 --> 0:10:26.080
<v Speaker 8>clothing and other sort of discretionary items last a little

0:10:26.120 --> 0:10:28.400
<v Speaker 8>bit longer, stretch them a bit longer, but food is

0:10:28.440 --> 0:10:31.680
<v Speaker 8>just such a requirement. And so when we then combine

0:10:31.720 --> 0:10:34.360
<v Speaker 8>that with what we saw from the financials companies, we're

0:10:34.400 --> 0:10:37.240
<v Speaker 8>seeing that at the lower end they are just using

0:10:37.360 --> 0:10:40.360
<v Speaker 8>less credit, trying to get paid off what they can,

0:10:40.679 --> 0:10:42.920
<v Speaker 8>and so if they're just working with cash, it's going

0:10:43.000 --> 0:10:45.880
<v Speaker 8>to be all right, let's get all the discretionary stuff

0:10:45.880 --> 0:10:48.040
<v Speaker 8>that we have to get on top of the staples

0:10:48.040 --> 0:10:50.480
<v Speaker 8>we need at a place like Walmart. And I'm not

0:10:50.559 --> 0:10:53.680
<v Speaker 8>quite sure that we're seeing that absolute trade down into say,

0:10:53.720 --> 0:10:57.040
<v Speaker 8>food shopping at dollar stores quite yet. I don't think

0:10:57.080 --> 0:10:58.160
<v Speaker 8>we're there just yet.

0:10:58.440 --> 0:10:58.680
<v Speaker 6>I don't.

0:10:58.720 --> 0:11:01.040
<v Speaker 2>No, man, food shopping a dollar stores feels like you

0:11:01.080 --> 0:11:02.880
<v Speaker 2>are asking for expired stuff.

0:11:03.160 --> 0:11:05.120
<v Speaker 5>Uh, it's a tough.

0:11:06.840 --> 0:11:10.240
<v Speaker 4>Read and the person at the checkout because you don't

0:11:10.280 --> 0:11:11.559
<v Speaker 4>want that, sir, like.

0:11:11.520 --> 0:11:14.320
<v Speaker 2>It's green, Why do you fund something that's green. To

0:11:14.400 --> 0:11:18.199
<v Speaker 2>that point, Shelby, there's tons of retail action next week, right,

0:11:18.280 --> 0:11:21.240
<v Speaker 2>get Macy's, Target, you do, get the dollar stores, Ross stores, like,

0:11:21.280 --> 0:11:22.400
<v Speaker 2>get the specialty guys.

0:11:23.080 --> 0:11:25.040
<v Speaker 6>What's going to be a macro signal.

0:11:24.720 --> 0:11:28.480
<v Speaker 8>For you here? To me, I think it's actually going

0:11:28.520 --> 0:11:31.120
<v Speaker 8>to be these sort of the sort of middle to

0:11:31.160 --> 0:11:34.880
<v Speaker 8>lower end, the Ross, the Burlington, the Dollar stores, letting

0:11:34.960 --> 0:11:37.680
<v Speaker 8>us know how much of a higher income customer share

0:11:37.720 --> 0:11:41.679
<v Speaker 8>they're picking up, because it's been very obvious that they

0:11:41.679 --> 0:11:43.959
<v Speaker 8>were going to get more of the middle to lower end.

0:11:44.040 --> 0:11:47.520
<v Speaker 8>That's the whole point of their of their retail premise.

0:11:47.640 --> 0:11:47.840
<v Speaker 1>Right.

0:11:48.000 --> 0:11:50.319
<v Speaker 8>So the question now is how much of the upper

0:11:50.440 --> 0:11:53.560
<v Speaker 8>end consumer are you raining in for Ross? Are you

0:11:54.120 --> 0:11:56.559
<v Speaker 8>capturing some of the consumer that was going to Marshals

0:11:56.640 --> 0:11:59.720
<v Speaker 8>or even Nordstrom Rack? Similar for Burlington? And then when

0:11:59.760 --> 0:12:02.680
<v Speaker 8>we look at Target, are they able to capture or

0:12:02.760 --> 0:12:05.760
<v Speaker 8>hold on to any middle income to lower income share

0:12:05.800 --> 0:12:07.200
<v Speaker 8>because we do know that they have a little bit

0:12:07.240 --> 0:12:08.280
<v Speaker 8>more of a premium product.

0:12:08.440 --> 0:12:10.440
<v Speaker 2>Just so we're clear here in the journal, today, there

0:12:10.440 --> 0:12:14.360
<v Speaker 2>was an article about Tjmax and why it's awesome because

0:12:14.360 --> 0:12:17.439
<v Speaker 2>they were like anyone who's anyone can now go and

0:12:17.480 --> 0:12:20.440
<v Speaker 2>buy like super high designers for like a third of

0:12:20.440 --> 0:12:22.600
<v Speaker 2>the price. I love TJ Max. It's like in my blood.

0:12:23.440 --> 0:12:25.760
<v Speaker 2>But I mean it was in the journal. I'm just saying,

0:12:26.080 --> 0:12:28.640
<v Speaker 2>so now it's already happening. But now, like you know,

0:12:28.720 --> 0:12:31.760
<v Speaker 2>real people with like serious money, like real housewives people

0:12:31.800 --> 0:12:33.160
<v Speaker 2>are doing it, but them out of the year.

0:12:33.360 --> 0:12:34.240
<v Speaker 6>Know that according from the.

0:12:34.240 --> 0:12:36.120
<v Speaker 4>Journal, very good what the journal has it? Yeah, I'm

0:12:36.160 --> 0:12:38.079
<v Speaker 4>going with it a Shelby And in some of your

0:12:38.200 --> 0:12:40.800
<v Speaker 4>stock picks here, one of them is ken View. Just

0:12:40.880 --> 0:12:43.680
<v Speaker 4>remind her that was to spin out from Johnson and

0:12:43.720 --> 0:12:45.560
<v Speaker 4>Johnson I guess talk to us about Kenview.

0:12:46.720 --> 0:12:46.880
<v Speaker 3>Yeah.

0:12:46.920 --> 0:12:49.480
<v Speaker 8>What's interesting about ken View is they sort of followed

0:12:49.480 --> 0:12:51.360
<v Speaker 8>in a trend that a lot of pharmaceutical companies were

0:12:51.360 --> 0:12:54.319
<v Speaker 8>doing where they went ahead and separated their consumer brands.

0:12:54.320 --> 0:12:56.000
<v Speaker 8>So we're talking about, you know, the tail and alls

0:12:56.000 --> 0:12:59.080
<v Speaker 8>of the world into a completely separate company. And what

0:12:59.200 --> 0:13:02.280
<v Speaker 8>interested me about that going into earning season was whether

0:13:02.400 --> 0:13:04.760
<v Speaker 8>or not they would be able to sort of maintain

0:13:04.880 --> 0:13:08.120
<v Speaker 8>that demand on premiumization when we think about the fact

0:13:08.160 --> 0:13:09.760
<v Speaker 8>that if I need tile at all, I could just

0:13:09.800 --> 0:13:12.200
<v Speaker 8>buy a seat of minifit and it's cheaper. And what

0:13:12.240 --> 0:13:14.480
<v Speaker 8>they showed us in earnings is that they've been able

0:13:14.480 --> 0:13:16.880
<v Speaker 8>to do it. So the brands that they've cultivated have

0:13:17.000 --> 0:13:19.640
<v Speaker 8>held onto people to spend that extra dollar or dollar

0:13:19.720 --> 0:13:24.440
<v Speaker 8>fifty on baby wipes, on feminine products, on pain and

0:13:24.520 --> 0:13:27.440
<v Speaker 8>other healthcare. So that was a great signal to us

0:13:27.559 --> 0:13:30.280
<v Speaker 8>that to some degree, with the right mix of pricing,

0:13:30.520 --> 0:13:34.040
<v Speaker 8>you're able to hold onto people for even brand named staples,

0:13:34.040 --> 0:13:35.520
<v Speaker 8>And I think that is really important.

0:13:36.320 --> 0:13:38.720
<v Speaker 2>Your last pick here that you have on the notes

0:13:38.720 --> 0:13:41.760
<v Speaker 2>here is master Card. Why do you like this dog

0:13:41.840 --> 0:13:42.839
<v Speaker 2>versus some of the other guys.

0:13:44.120 --> 0:13:44.320
<v Speaker 5>Yeah.

0:13:44.360 --> 0:13:46.360
<v Speaker 8>One of the things we love about MasterCard really in

0:13:46.360 --> 0:13:48.680
<v Speaker 8>general is that they're really just a toll taker, right,

0:13:48.760 --> 0:13:52.280
<v Speaker 8>so even in a sort of downturn, the rails still

0:13:52.320 --> 0:13:54.640
<v Speaker 8>have to be used to process payment. The other thing

0:13:54.720 --> 0:13:57.679
<v Speaker 8>is really their weight to credit compared to debit. So

0:13:57.760 --> 0:13:59.480
<v Speaker 8>we do know that a while ago we had that

0:13:59.559 --> 0:14:02.720
<v Speaker 8>legislation that really compressed on debit fees. So when we

0:14:02.760 --> 0:14:05.120
<v Speaker 8>look at their competitor, we see that they've got that

0:14:05.280 --> 0:14:09.440
<v Speaker 8>better mix to that sort of higher fee for using

0:14:09.480 --> 0:14:12.640
<v Speaker 8>the credit rails, and also knowing that consumers leaning a

0:14:12.640 --> 0:14:14.680
<v Speaker 8>little bit more on credit in these types of times,

0:14:14.760 --> 0:14:17.880
<v Speaker 8>at least in the middle to upper end, generates more

0:14:17.880 --> 0:14:20.960
<v Speaker 8>fees for MasterCards. So when we think about the credit

0:14:21.000 --> 0:14:24.480
<v Speaker 8>to debit mix, plus their international opportunities, we feel that

0:14:24.480 --> 0:14:26.360
<v Speaker 8>they're really well positioned when it comes to the payment

0:14:26.360 --> 0:14:27.000
<v Speaker 8>network space.

0:14:27.560 --> 0:14:29.400
<v Speaker 4>All right, Shelby, thank you so much for joining us.

0:14:29.440 --> 0:14:33.160
<v Speaker 4>Shelby McFadden Investment analys that Motley Fool Asset Management joining

0:14:33.200 --> 0:14:36.880
<v Speaker 4>us from Alexandria, Virginia via zoom. You may show you

0:14:36.920 --> 0:14:39.680
<v Speaker 4>how cutting edge I am on fintech. When I go

0:14:39.720 --> 0:14:42.240
<v Speaker 4>buy my salad today for lunch, you can use Apple pay.

0:14:42.640 --> 0:14:46.040
<v Speaker 6>Hey, look at you. What happens to the water cash

0:14:46.080 --> 0:14:46.560
<v Speaker 6>in your pocket?

0:14:46.560 --> 0:14:48.520
<v Speaker 4>I still have the water cash. It just it lasts

0:14:48.520 --> 0:14:50.960
<v Speaker 4>a lot longer. Like when I was growing up, even

0:14:51.000 --> 0:14:53.320
<v Speaker 4>as a young adult, I would only use credit cards

0:14:53.360 --> 0:14:57.520
<v Speaker 4>for big purchase and special one off type of things,

0:14:57.560 --> 0:15:00.280
<v Speaker 4>not for day to day I use cash cut now.

0:15:00.320 --> 0:15:03.400
<v Speaker 4>It's it's the exact I think after in society. It's

0:15:03.440 --> 0:15:04.360
<v Speaker 4>just used it for everything.

0:15:04.680 --> 0:15:05.280
<v Speaker 9>I'm sorry.

0:15:05.920 --> 0:15:08.280
<v Speaker 6>Michael Bar Michael Bar, Oh my god.

0:15:08.600 --> 0:15:10.800
<v Speaker 9>First of all, he pulls out a lot of cash,

0:15:10.960 --> 0:15:13.800
<v Speaker 9>A couple of one hundred dollars bills. Absolutely, you know,

0:15:14.000 --> 0:15:17.280
<v Speaker 9>not the deed the boardwalk like I have in mind,

0:15:17.640 --> 0:15:19.960
<v Speaker 9>but wow, what happened to cash?

0:15:20.360 --> 0:15:20.560
<v Speaker 5>You know?

0:15:20.960 --> 0:15:22.560
<v Speaker 4>The only reason I have cash? And John Tucker can

0:15:22.600 --> 0:15:23.920
<v Speaker 4>back me up on this. You go down to the

0:15:24.000 --> 0:15:26.640
<v Speaker 4>Jersey Shore. That's a cash economy down. Do you walk

0:15:26.680 --> 0:15:29.920
<v Speaker 4>up to a Jersey Shore bar, you don't apple pay,

0:15:30.120 --> 0:15:32.400
<v Speaker 4>You throw a fifty or hondy on the bar and

0:15:32.440 --> 0:15:33.880
<v Speaker 4>that's how you announce your uh.

0:15:34.240 --> 0:15:35.720
<v Speaker 6>I also love the use a hundy because I say

0:15:35.760 --> 0:15:37.880
<v Speaker 6>that at home. My husband like refuses to talk to me.

0:15:38.040 --> 0:15:40.280
<v Speaker 2>But to that point, but actually, tipping is the problem.

0:15:40.360 --> 0:15:42.640
<v Speaker 2>Like if you don't have cash, I never carry cash anymore,

0:15:42.680 --> 0:15:44.840
<v Speaker 2>and then tipping is huge. Like if you go get

0:15:44.840 --> 0:15:47.640
<v Speaker 2>a Manny petty, it's like, oh god, you guys have

0:15:47.720 --> 0:15:50.359
<v Speaker 2>venmo and then you're like scrambling and it's stressful.

0:15:50.760 --> 0:15:52.840
<v Speaker 4>It's a changing world out there in terms of world.

0:15:52.840 --> 0:15:55.040
<v Speaker 4>You have to be on top of this fintech And

0:15:55.040 --> 0:15:56.920
<v Speaker 4>a lot of people say it's just by Master Carter

0:15:57.040 --> 0:15:59.560
<v Speaker 4>resent that gets your exposure to fintech because it's all

0:15:59.600 --> 0:16:02.600
<v Speaker 4>got a over their systems. And remember take care of

0:16:02.640 --> 0:16:05.040
<v Speaker 4>your brant tenders, ladies and gentlemen. Exactly right.

0:16:07.720 --> 0:16:11.600
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:16:11.680 --> 0:16:14.320
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:16:14.320 --> 0:16:17.400
<v Speaker 1>Android Auto with the Bloomberg Business App. Listen on demand

0:16:17.440 --> 0:16:22.240
<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

0:16:23.160 --> 0:16:25.640
<v Speaker 2>Just get to tech. There's been some fun news. I

0:16:25.680 --> 0:16:27.680
<v Speaker 2>was taking a look at this Reddit open ai thing.

0:16:27.760 --> 0:16:32.040
<v Speaker 2>So apparently the deal between the two helps display Reddit

0:16:32.040 --> 0:16:36.680
<v Speaker 2>its content and also train open ai systems on its

0:16:36.760 --> 0:16:39.720
<v Speaker 2>partners data. So this is kind of what they promised

0:16:39.720 --> 0:16:42.240
<v Speaker 2>when the iPod and then maybe a little extra. Man

0:16:42.280 --> 0:16:44.760
<v Speaker 2>Deep Singh joins us now he is a Bloomberg Senior

0:16:44.800 --> 0:16:48.480
<v Speaker 2>technology analyst, mandeep give me some of the particulars here.

0:16:49.760 --> 0:16:53.600
<v Speaker 7>Well, they haven't told us who is paying whom. It's

0:16:53.680 --> 0:16:58.960
<v Speaker 7>just that I mean, look, man, we know Google pays

0:16:59.120 --> 0:17:03.560
<v Speaker 7>Reddit almost sixty million a year for its content, and

0:17:04.080 --> 0:17:08.760
<v Speaker 7>in return, I think Reddit benefits more in the sense that, yes,

0:17:08.800 --> 0:17:12.280
<v Speaker 7>they get paid, and they also get traffic from Google.

0:17:12.520 --> 0:17:15.480
<v Speaker 7>You know Google displaying reddits links on its search. But

0:17:15.560 --> 0:17:19.439
<v Speaker 7>in this case, I think open ai probably needs Reddit

0:17:19.520 --> 0:17:25.639
<v Speaker 7>data more simply because you have to constantly train these llms.

0:17:26.080 --> 0:17:29.720
<v Speaker 7>I mean, Reddit has almost one billion posts a year.

0:17:30.200 --> 0:17:34.119
<v Speaker 7>Look at the magnitude of the user generated content. So yes,

0:17:34.160 --> 0:17:38.840
<v Speaker 7>OpenAI has the most powerful LLM out there. But llms

0:17:38.920 --> 0:17:43.159
<v Speaker 7>needs these large data sets, and that's where Reddit is

0:17:43.200 --> 0:17:46.360
<v Speaker 7>one of the most coveted data sets on the open Internet.

0:17:46.400 --> 0:17:49.040
<v Speaker 7>If you think about it, Twitter being another one. There

0:17:49.080 --> 0:17:52.919
<v Speaker 7>are other forums that generate a lot of user generated content,

0:17:53.200 --> 0:17:56.840
<v Speaker 7>but that's what you need to constantly train these Larzagrig models.

0:17:56.840 --> 0:18:01.160
<v Speaker 7>And I thought Google's LM had an advantage because one

0:18:01.320 --> 0:18:05.520
<v Speaker 7>they were training on these Reddit data sets, which open

0:18:05.560 --> 0:18:08.879
<v Speaker 7>Ai didn't have license for. And also it establishes a

0:18:08.920 --> 0:18:11.440
<v Speaker 7>trend that you have to pay for content. Now it's

0:18:11.480 --> 0:18:16.200
<v Speaker 7>not free anymore, so every content provider will start charging

0:18:16.680 --> 0:18:17.560
<v Speaker 7>a licensing fee.

0:18:17.800 --> 0:18:18.119
<v Speaker 6>Jump on.

0:18:18.840 --> 0:18:22.119
<v Speaker 4>You know what's impressive about mandeep so many things on

0:18:22.160 --> 0:18:24.000
<v Speaker 4>a Friday in studio.

0:18:24.280 --> 0:18:26.760
<v Speaker 6>I totally knew you were going to bring this up now.

0:18:27.119 --> 0:18:29.600
<v Speaker 4>So he basically leaves our bi effort in New York

0:18:29.720 --> 0:18:32.800
<v Speaker 4>because the senior management is safely asconced leading from the

0:18:32.880 --> 0:18:35.199
<v Speaker 4>RUAR in Princeton. So he's our guy here in the

0:18:35.480 --> 0:18:39.280
<v Speaker 4>world's financial capital. But what I love about the Reddit

0:18:39.320 --> 0:18:42.040
<v Speaker 4>story is I love this Reddit manager team. They get

0:18:42.040 --> 0:18:42.560
<v Speaker 4>the gold star.

0:18:42.600 --> 0:18:42.760
<v Speaker 1>Now.

0:18:42.760 --> 0:18:45.600
<v Speaker 4>They went public saying they were going to do something,

0:18:46.080 --> 0:18:49.080
<v Speaker 4>and they did it, and the IPO shareholders are benefiting.

0:18:49.359 --> 0:18:51.399
<v Speaker 4>That is such a class move man. They want to

0:18:51.440 --> 0:18:52.879
<v Speaker 4>come back and sell more stock, I'll buy it.

0:18:53.640 --> 0:18:56.639
<v Speaker 7>The rays And look, I mean, compare them to a

0:18:56.720 --> 0:19:01.320
<v Speaker 7>company like Pinterests. Same number of daily active users, same

0:19:01.400 --> 0:19:04.600
<v Speaker 7>number of monthly active users. Pinterest rates that are twenty

0:19:04.640 --> 0:19:07.320
<v Speaker 7>five billion market gap. Reddit is still a ten billion

0:19:07.359 --> 0:19:10.560
<v Speaker 7>dollar market gap. Yes, there is a revenue gap. I mean,

0:19:10.600 --> 0:19:14.240
<v Speaker 7>obviously Pinterests generates three point five billion in revenue. Reddits

0:19:14.320 --> 0:19:17.800
<v Speaker 7>is much smaller. But in terms of engagement user trends,

0:19:18.040 --> 0:19:19.240
<v Speaker 7>everything looks similar.

0:19:19.720 --> 0:19:21.720
<v Speaker 2>So we'll get to Snowflake in a second. But I

0:19:21.720 --> 0:19:24.119
<v Speaker 2>have one more silly question. So when I'm going on

0:19:24.119 --> 0:19:27.160
<v Speaker 2>Google and I'm searching something now and then it gets

0:19:27.200 --> 0:19:29.879
<v Speaker 2>me eventually to all the here's what Reddit's saying and

0:19:29.920 --> 0:19:33.280
<v Speaker 2>all those links, is that because of these kind of partnerships.

0:19:34.359 --> 0:19:38.639
<v Speaker 7>I mean, look, Reddit again has the most authentic user

0:19:38.800 --> 0:19:42.360
<v Speaker 7>content communities that people want to know. Like, they don't

0:19:42.400 --> 0:19:48.320
<v Speaker 7>want canned LLLM generated answers. People want real answers where

0:19:48.480 --> 0:19:52.040
<v Speaker 7>users are having an engagement and discussing a topic. And

0:19:52.080 --> 0:19:57.480
<v Speaker 7>that's why Google is prioritizing reddits results in their ten

0:19:57.520 --> 0:20:00.320
<v Speaker 7>blue links. I mean, yes, they are adding genera like

0:20:00.520 --> 0:20:05.159
<v Speaker 7>AI overviews and all that, but they are prioritizing Reddit

0:20:05.520 --> 0:20:08.879
<v Speaker 7>in their first ten links because they find these links

0:20:08.920 --> 0:20:11.000
<v Speaker 7>to be more engaging for their users.

0:20:11.119 --> 0:20:12.920
<v Speaker 4>And can let me just give these guys a pat

0:20:12.960 --> 0:20:16.600
<v Speaker 4>pat on the back here Reddit when public September seventeenth

0:20:16.880 --> 0:20:18.920
<v Speaker 4>to twenty twenty four to thirty four dollars to share

0:20:19.160 --> 0:20:21.119
<v Speaker 4>the stocks at sixty three and change here today up

0:20:21.200 --> 0:20:24.520
<v Speaker 4>eighty five percent. That's a nice trade. It's a nice investment.

0:20:24.560 --> 0:20:26.280
<v Speaker 4>They should be doing some more stock and more companies

0:20:26.320 --> 0:20:28.120
<v Speaker 4>should become in public. I don't know why the full

0:20:28.280 --> 0:20:32.359
<v Speaker 4>Gates aren't just gushing with IPOs. What is Snowflake and

0:20:32.400 --> 0:20:34.040
<v Speaker 4>what's their AI strategy?

0:20:34.320 --> 0:20:37.960
<v Speaker 7>Well, so, Snowflake is a layer that's on top of

0:20:38.000 --> 0:20:42.719
<v Speaker 7>your hyperscalers. You'd remember hyperscalers gives you the compute the database.

0:20:43.040 --> 0:20:46.600
<v Speaker 7>So Snowflake is like, I will aggregate all your data

0:20:46.680 --> 0:20:50.119
<v Speaker 7>into a nice dashboard. That was their value proposition. They

0:20:50.160 --> 0:20:54.959
<v Speaker 7>were immensely successful until this whole generative AI and LLLM

0:20:55.040 --> 0:20:59.399
<v Speaker 7>wave popped up, which was very disruptive because one Snowflake

0:20:59.440 --> 0:21:02.439
<v Speaker 7>didn't have any of their large anguid models that all

0:21:02.480 --> 0:21:06.600
<v Speaker 7>these companies, the hyperscalers have, And then obviously, abruptly their

0:21:06.680 --> 0:21:10.280
<v Speaker 7>CEO resigned and they appointed a new CEO, and his

0:21:10.440 --> 0:21:14.240
<v Speaker 7>playbook seems to be to develop an LLM because otherwise

0:21:14.280 --> 0:21:17.120
<v Speaker 7>they're at the risk of getting disintermediated. Look, it's still

0:21:17.160 --> 0:21:21.440
<v Speaker 7>a high growth company, still mid twenty percent growth, hugely impressive.

0:21:21.920 --> 0:21:25.520
<v Speaker 7>But for a while they couldn't put a step wrong.

0:21:25.600 --> 0:21:28.480
<v Speaker 7>They were growing forty percent plus and so suddenly that

0:21:28.640 --> 0:21:31.600
<v Speaker 7>growth decelerated, and I think it was because of the

0:21:32.119 --> 0:21:34.359
<v Speaker 7>not having an LLLM. So that's what they're trying to

0:21:34.400 --> 0:21:35.120
<v Speaker 7>solve for here.

0:21:35.280 --> 0:21:37.760
<v Speaker 2>So they're in talks to acquire RecA.

0:21:37.840 --> 0:21:38.439
<v Speaker 6>I'm saying that right.

0:21:38.560 --> 0:21:40.879
<v Speaker 2>Yeah, Areca AI for more than a billion, so that

0:21:40.920 --> 0:21:42.560
<v Speaker 2>would solve their LLM problem.

0:21:42.680 --> 0:21:45.560
<v Speaker 7>I don't know if it's gonna solve because with llms,

0:21:45.600 --> 0:21:51.120
<v Speaker 7>the clear leaders have been established, it's Open AI, Google, Mistral,

0:21:51.280 --> 0:21:54.040
<v Speaker 7>and Meta, the four or five players. All the smaller

0:21:54.080 --> 0:21:58.720
<v Speaker 7>players are finding it's too expensive to constantly train their llms.

0:21:58.960 --> 0:22:03.240
<v Speaker 7>So the con solidation is happening. And now obviously you

0:22:03.280 --> 0:22:06.879
<v Speaker 7>know they are getting sold, but in this case, Snowflake

0:22:07.440 --> 0:22:11.119
<v Speaker 7>bought them first. I'm sure Amazon is looking to buy somebody,

0:22:11.200 --> 0:22:14.040
<v Speaker 7>and so are other company Apple probably it is looking

0:22:14.040 --> 0:22:16.960
<v Speaker 7>to buy someone as well, because that's what you need.

0:22:17.000 --> 0:22:20.520
<v Speaker 7>You need your own LLM. You can't rely on someone

0:22:20.560 --> 0:22:23.240
<v Speaker 7>else to provide the LLM if you're a large tech.

0:22:23.119 --> 0:22:27.440
<v Speaker 4>How many large language model companies are there out there?

0:22:28.359 --> 0:22:30.320
<v Speaker 4>Is my son starting up one, then he's gonna get

0:22:30.320 --> 0:22:31.679
<v Speaker 4>bought after like a gajillion dollars.

0:22:31.960 --> 0:22:35.560
<v Speaker 7>It's very hard to start an LLLM company one because

0:22:35.560 --> 0:22:38.520
<v Speaker 7>you need a lot of compute the Nvidia GPUs, you

0:22:38.720 --> 0:22:42.040
<v Speaker 7>need a lot of data like Reddit is one data set.

0:22:42.119 --> 0:22:45.679
<v Speaker 7>You need thousands of data sets to create your LLLM

0:22:45.720 --> 0:22:49.200
<v Speaker 7>foundational model, and then you have to constantly train these models.

0:22:49.600 --> 0:22:52.680
<v Speaker 7>So this is an expensive proposition and I feel that's

0:22:52.720 --> 0:22:55.560
<v Speaker 7>why the hyperscalers are the ones who have the capex

0:22:55.600 --> 0:22:57.399
<v Speaker 7>and the d pockets to do this.

0:22:57.760 --> 0:23:00.000
<v Speaker 6>And okay, bear with me on this dumb question.

0:23:00.640 --> 0:23:03.000
<v Speaker 2>And we care about this because why because then I

0:23:03.040 --> 0:23:05.040
<v Speaker 2>can go on Google and then they tell me stuff.

0:23:06.280 --> 0:23:09.600
<v Speaker 7>Think of you know, co pilots and AI agents, all

0:23:09.600 --> 0:23:13.240
<v Speaker 7>these new concepts that are coming to the scene are

0:23:13.440 --> 0:23:17.520
<v Speaker 7>enabled by llms because llms have the IQ of an

0:23:17.640 --> 0:23:20.679
<v Speaker 7>average human being, and then it can be you know,

0:23:20.800 --> 0:23:25.240
<v Speaker 7>customized to do specific tasks according to you know, customer

0:23:25.320 --> 0:23:29.880
<v Speaker 7>service or booking travel. But basically, behind the scenes, you've

0:23:29.920 --> 0:23:33.439
<v Speaker 7>got a very intelligent algorithm that has a knowledge of

0:23:33.640 --> 0:23:35.600
<v Speaker 7>you know, the volte and you can talk to it,

0:23:35.640 --> 0:23:38.720
<v Speaker 7>you can converse in it. It's not canned answers. It's

0:23:38.800 --> 0:23:42.480
<v Speaker 7>not a database that you're searching for. It's an intelligent person.

0:23:42.560 --> 0:23:45.000
<v Speaker 6>Okay, this is not like me asking Alexa what's the

0:23:45.000 --> 0:23:45.520
<v Speaker 6>weather like?

0:23:45.600 --> 0:23:47.680
<v Speaker 2>And she's not like, I don't understand your question.

0:23:48.040 --> 0:23:48.159
<v Speaker 4>Like.

0:23:48.359 --> 0:23:51.119
<v Speaker 5>It's not that No, God, it's much more sophisticated.

0:23:51.920 --> 0:23:52.360
<v Speaker 10>All right.

0:23:52.680 --> 0:23:56.840
<v Speaker 4>I mean, whatever video next week and Vidia next week

0:23:57.200 --> 0:23:59.640
<v Speaker 4>starts up ninety percentage year, they better Is this another

0:23:59.760 --> 0:24:01.560
<v Speaker 4>quarter where they have to knock it out of the ballpark?

0:24:01.880 --> 0:24:05.480
<v Speaker 7>I mean, the basic thing is are they under shipping demands? Still?

0:24:05.560 --> 0:24:07.760
<v Speaker 4>Are they under shipping demand?

0:24:08.400 --> 0:24:14.120
<v Speaker 7>Because everyone corroborates that vir supply constraint when it comes

0:24:14.119 --> 0:24:18.520
<v Speaker 7>to Nvidia GPUs, So they will keep writing this until

0:24:18.600 --> 0:24:21.480
<v Speaker 7>the you know, the demand environment is such a demand

0:24:21.520 --> 0:24:25.800
<v Speaker 7>exceed supply, and I think they have a good shot

0:24:25.840 --> 0:24:27.120
<v Speaker 7>of beating and raising a game.

0:24:27.280 --> 0:24:28.800
<v Speaker 6>The options market is interesting.

0:24:29.160 --> 0:24:32.320
<v Speaker 2>Isn't pricing the same kind of exuberance that we've seen

0:24:32.320 --> 0:24:34.800
<v Speaker 2>in the past, which doesn't necessarily mean anything. It just

0:24:34.880 --> 0:24:38.440
<v Speaker 2>means that maybe positioning is in a particular place going

0:24:38.440 --> 0:24:40.720
<v Speaker 2>in and we're not expecting that exuberant call buying.

0:24:40.960 --> 0:24:43.399
<v Speaker 6>Man Deep, thank you so much. We appreciate you always.

0:24:43.400 --> 0:24:47.240
<v Speaker 2>Man keep saying. Bloomberg Intelligence Senior Technology and Lest.

0:24:48.520 --> 0:24:52.400
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast, catch us live

0:24:52.480 --> 0:24:55.520
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:24:55.520 --> 0:24:58.440
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0:24:58.520 --> 0:25:01.720
<v Speaker 1>listen live on Amazon Alexa from our flagship New York

0:25:01.760 --> 0:25:05.200
<v Speaker 1>station just say Alexa playing Bloomberg eleven thirty.

0:25:06.920 --> 0:25:09.000
<v Speaker 2>This is Bloomberg Intelligence Radio. We bring you all the

0:25:09.000 --> 0:25:11.880
<v Speaker 2>top news and business, economics and finance through our lens

0:25:11.880 --> 0:25:13.440
<v Speaker 2>of our Bloomberg Intelligence analysts.

0:25:13.440 --> 0:25:14.960
<v Speaker 6>They're four hundred of them worldwide.

0:25:15.000 --> 0:25:18.399
<v Speaker 2>They covered two thousand companies and one hundred and thirty industries.

0:25:18.440 --> 0:25:20.920
<v Speaker 6>We got you covered. We just talked about retail.

0:25:21.200 --> 0:25:24.240
<v Speaker 2>We saw Walmart, we got Macy's targets and dollar stores

0:25:24.640 --> 0:25:27.360
<v Speaker 2>also coming up. So we go nerdy because we can

0:25:27.400 --> 0:25:29.680
<v Speaker 2>do that on Bloomberg Intelligence Radio and we can talk

0:25:29.720 --> 0:25:33.200
<v Speaker 2>to a forest and paper products analyst. It's a box analyst.

0:25:33.560 --> 0:25:36.120
<v Speaker 2>Our box is shipping. Where's the demand? How's it going?

0:25:36.200 --> 0:25:40.000
<v Speaker 2>Ryan Fox is a Bloomberg Intelligence market analyst for forest

0:25:40.040 --> 0:25:42.760
<v Speaker 2>and paper products and he joins us. Now, Ryan, we

0:25:42.800 --> 0:25:45.560
<v Speaker 2>are super excited to talk to you about this. How's

0:25:45.560 --> 0:25:46.720
<v Speaker 2>the box business?

0:25:47.359 --> 0:25:50.760
<v Speaker 10>Well, the boxing business is not seen as best days.

0:25:50.800 --> 0:25:53.960
<v Speaker 10>We had the worst first quarter in the last eight years.

0:25:54.720 --> 0:25:57.080
<v Speaker 10>Box shipments are down over the last two years almost

0:25:57.080 --> 0:26:00.359
<v Speaker 10>ten percent. And maybe there's some silver lining because the

0:26:00.400 --> 0:26:04.160
<v Speaker 10>second quarter, statistically speaking of the last thirty years has

0:26:04.600 --> 0:26:07.560
<v Speaker 10>more often than not been a better quarter than the first.

0:26:07.600 --> 0:26:10.480
<v Speaker 10>So we do see maybe there's going to be an increase.

0:26:11.520 --> 0:26:14.840
<v Speaker 10>On average increase was three point two percent, like I said,

0:26:14.880 --> 0:26:17.760
<v Speaker 10>over the last thirty years. However, given the backdrop that

0:26:17.760 --> 0:26:20.560
<v Speaker 10>we're seeing in the broader economy, we think we're going

0:26:20.600 --> 0:26:24.560
<v Speaker 10>to see a more muted increase, maybe more like one

0:26:24.600 --> 0:26:27.800
<v Speaker 10>percent sequentially, which would still be a year over year

0:26:27.840 --> 0:26:29.080
<v Speaker 10>to client of about one percent.

0:26:29.680 --> 0:26:32.800
<v Speaker 4>So Ryan, I know you and other analysts investors look

0:26:32.800 --> 0:26:34.560
<v Speaker 4>at the year on year kind of growth rates and

0:26:34.600 --> 0:26:36.280
<v Speaker 4>that's kind of big. Just give us a sense of

0:26:36.320 --> 0:26:40.400
<v Speaker 4>the absolute numbers, like how many boxes whatever units you use,

0:26:41.080 --> 0:26:44.199
<v Speaker 4>are being used, like today versus twenty nineteen.

0:26:45.160 --> 0:26:49.359
<v Speaker 10>Yeah, so in one of the best terms is in

0:26:49.560 --> 0:26:52.280
<v Speaker 10>billions of square feet. Right, so when you were to

0:26:52.359 --> 0:26:53.960
<v Speaker 10>if you were to take a box and unfold it

0:26:54.000 --> 0:26:55.560
<v Speaker 10>and lay it out flat, you know, you just do

0:26:55.800 --> 0:26:56.639
<v Speaker 10>link them with and all that.

0:26:57.280 --> 0:27:00.360
<v Speaker 4>So comes my job to break them down of course.

0:27:00.440 --> 0:27:02.600
<v Speaker 10>Understood, Well, yeah, you got a flatinum and then put

0:27:02.600 --> 0:27:03.360
<v Speaker 10>them in your recycling.

0:27:04.320 --> 0:27:08.359
<v Speaker 4>Is that just throws them in their recycling? Well, trying

0:27:08.400 --> 0:27:09.879
<v Speaker 4>to think out of the side of the box.

0:27:10.040 --> 0:27:13.040
<v Speaker 2>Oh no, no, no.

0:27:12.800 --> 0:27:14.720
<v Speaker 4>No, right, all right, right, let's get back to it

0:27:14.840 --> 0:27:17.440
<v Speaker 4>just again today's demand versus you know, pre pandemic.

0:27:18.160 --> 0:27:21.160
<v Speaker 10>Yeah. So in twenty nineteen that volume was like three

0:27:21.240 --> 0:27:25.000
<v Speaker 10>hundred and ninety three billion square feet, right, a big,

0:27:25.040 --> 0:27:27.760
<v Speaker 10>big number. During the pandemic, it grew to four hundred

0:27:27.800 --> 0:27:30.840
<v Speaker 10>and sixteen billion square feet. Last year it fell to

0:27:31.040 --> 0:27:34.760
<v Speaker 10>three eighty and this year our projections, our mid year

0:27:34.760 --> 0:27:36.840
<v Speaker 10>outlook says it's going to fall again to about three

0:27:37.000 --> 0:27:40.720
<v Speaker 10>seventy six. Yes, again a slight decline over last year.

0:27:41.960 --> 0:27:45.720
<v Speaker 10>We're just not seeing super strong economic signals and our

0:27:45.840 --> 0:27:49.600
<v Speaker 10>box so our box producers. You know, Green Markets is

0:27:49.600 --> 0:27:52.920
<v Speaker 10>a Bloomberg company. They go out and they survey box

0:27:52.960 --> 0:27:56.480
<v Speaker 10>producers all across the US, and they have a good signal.

0:27:56.760 --> 0:27:59.440
<v Speaker 10>Right The signal right now is that second quarter could

0:27:59.480 --> 0:28:01.160
<v Speaker 10>be up as much, which is three and a half percent,

0:28:01.240 --> 0:28:05.080
<v Speaker 10>which is in line with the statistic statistics we've seen

0:28:05.119 --> 0:28:09.800
<v Speaker 10>over time. However, again, first quarter was down substantially, so

0:28:10.280 --> 0:28:12.800
<v Speaker 10>we think there's some optimism rror and we would we

0:28:12.840 --> 0:28:15.760
<v Speaker 10>would guide down based on that known optimism error.

0:28:16.040 --> 0:28:18.800
<v Speaker 2>Ryan, this is a really dumb question, but I feel

0:28:18.840 --> 0:28:21.159
<v Speaker 2>like the trend is don't ship stuff in a box

0:28:21.680 --> 0:28:24.600
<v Speaker 2>like I can order from different places. That shoes, I

0:28:24.640 --> 0:28:26.640
<v Speaker 2>agree that they're in a shoe box, but you don't

0:28:26.640 --> 0:28:29.520
<v Speaker 2>put them like another box. You just ship that shoe box.

0:28:29.920 --> 0:28:31.680
<v Speaker 2>Is that eating into this market at all?

0:28:32.800 --> 0:28:36.440
<v Speaker 10>It certainly is. And I could talk for an hour

0:28:36.440 --> 0:28:39.160
<v Speaker 10>about this but I won't. But yes, you're exactly right.

0:28:40.440 --> 0:28:44.520
<v Speaker 10>There is a there's a definite move by brands to

0:28:44.760 --> 0:28:48.040
<v Speaker 10>reduce their waste and become more sustainable. So you are

0:28:48.080 --> 0:28:51.400
<v Speaker 10>seeing companies like Amazon ulize paper bags and things like that.

0:28:52.400 --> 0:28:54.920
<v Speaker 4>So talk to us about the green options out there.

0:28:54.920 --> 0:28:55.920
<v Speaker 4>What are the green options?

0:28:57.080 --> 0:28:59.200
<v Speaker 10>Well, it depends on what you mean by green, right,

0:28:59.400 --> 0:29:03.080
<v Speaker 10>So they are well, so there are two main initiatives, right,

0:29:03.120 --> 0:29:05.320
<v Speaker 10>So the first green initiative is to find something that's

0:29:05.360 --> 0:29:08.720
<v Speaker 10>more circular in nature, like a paper bag, because most

0:29:08.720 --> 0:29:13.240
<v Speaker 10>people identify paper as a more sustainable, more circular option. Now,

0:29:13.680 --> 0:29:16.400
<v Speaker 10>if you're looking at the data, that paper may have

0:29:16.440 --> 0:29:20.280
<v Speaker 10>a higher greenhouse gas emission index. So while it's more circular,

0:29:20.360 --> 0:29:22.720
<v Speaker 10>it's going to have it's it's trade offs. If you're

0:29:22.720 --> 0:29:25.960
<v Speaker 10>looking for chasing a greenhouse gas initiative, maybe you're going

0:29:25.960 --> 0:29:29.280
<v Speaker 10>to a plastic something that's lighter in weight. Very broadly speaking,

0:29:29.800 --> 0:29:33.080
<v Speaker 10>greenhouse gas emissions follow weight, So if you're using a

0:29:33.200 --> 0:29:35.960
<v Speaker 10>very light weight paper or plastic bag, it will likely

0:29:35.960 --> 0:29:40.080
<v Speaker 10>have a lower GHG emission, but it's less circular. So

0:29:40.160 --> 0:29:41.800
<v Speaker 10>it really depends on the goal of the company.

0:29:42.840 --> 0:29:45.840
<v Speaker 2>Are people willing to pay more for greener packaging?

0:29:45.960 --> 0:29:46.560
<v Speaker 6>Do we know that?

0:29:46.720 --> 0:29:46.800
<v Speaker 2>Is?

0:29:46.800 --> 0:29:48.920
<v Speaker 10>They say they are, They say they are, but no one,

0:29:49.000 --> 0:29:51.000
<v Speaker 10>no one's really, no one really is. I mean, at

0:29:51.000 --> 0:29:54.680
<v Speaker 10>the end of the day, it's I think it's all

0:29:55.440 --> 0:29:57.680
<v Speaker 10>it's just opinion and it doesn't really mean anything.

0:29:58.120 --> 0:30:00.240
<v Speaker 4>So what did some of the big what are the

0:30:00.280 --> 0:30:02.320
<v Speaker 4>companies that you follow that if if thats just want

0:30:02.320 --> 0:30:04.120
<v Speaker 4>to get exposure to this, where should they look?

0:30:05.320 --> 0:30:07.200
<v Speaker 10>Well, I mean on the on the Bloomberg terminal are

0:30:07.320 --> 0:30:12.640
<v Speaker 10>our packaging dashboard? PACKG is the call numbers there we

0:30:12.680 --> 0:30:16.000
<v Speaker 10>follow International Paper, West Rock Packaging Corporation of America are

0:30:16.080 --> 0:30:18.400
<v Speaker 10>the big three in the US. They represent about a

0:30:18.400 --> 0:30:19.920
<v Speaker 10>forty five billion dollars market cap.

0:30:21.880 --> 0:30:24.040
<v Speaker 2>What represents the best kind of value? Like, how are

0:30:24.040 --> 0:30:26.480
<v Speaker 2>these guys sort of trading right now? What's priced?

0:30:26.520 --> 0:30:26.600
<v Speaker 3>In?

0:30:27.640 --> 0:30:31.680
<v Speaker 10>A great question? That's way above my scope. So I'm

0:30:31.720 --> 0:30:34.920
<v Speaker 10>more of a market analyst and follow the bigger industry trends, supply,

0:30:35.080 --> 0:30:38.560
<v Speaker 10>demand and pricing. I don't really get into the stocks

0:30:38.640 --> 0:30:40.080
<v Speaker 10>themselves or the companies themselves.

0:30:40.120 --> 0:30:40.680
<v Speaker 6>That's fair enough.

0:30:40.920 --> 0:30:44.520
<v Speaker 4>So can I make an inference about inflation out there

0:30:44.560 --> 0:30:47.479
<v Speaker 4>by looking at volumes of packages being shipped and all

0:30:47.480 --> 0:30:48.320
<v Speaker 4>that kind of stuff?

0:30:50.400 --> 0:30:51.000
<v Speaker 10>Absolutely?

0:30:51.440 --> 0:30:51.920
<v Speaker 6>What is it?

0:30:51.960 --> 0:30:52.560
<v Speaker 4>So? How does that work?

0:30:52.640 --> 0:30:52.960
<v Speaker 1>Yeah?

0:30:53.000 --> 0:30:57.960
<v Speaker 10>Well, well so there is there's some discrepancy. So right now,

0:30:58.000 --> 0:30:59.320
<v Speaker 10>if you were to look at like some of the

0:30:59.320 --> 0:31:03.360
<v Speaker 10>federal data, a real PCE for goods, for instance, that

0:31:03.440 --> 0:31:06.280
<v Speaker 10>number is still very very high relative to the fact

0:31:06.320 --> 0:31:09.960
<v Speaker 10>that consumer goods are not trending very well. I mean,

0:31:10.240 --> 0:31:14.400
<v Speaker 10>if a very high number ninety percent plus of consumer

0:31:14.400 --> 0:31:16.920
<v Speaker 10>goods ride in a corgated box and that volume is

0:31:16.920 --> 0:31:19.920
<v Speaker 10>down ten percent essentially over the last two years, how

0:31:19.960 --> 0:31:23.240
<v Speaker 10>in the world is our goods spending still up? If

0:31:24.120 --> 0:31:26.720
<v Speaker 10>if it's a real number and it's an adjusted for inflation,

0:31:27.200 --> 0:31:30.080
<v Speaker 10>there's there's a disconnect there, and I have some speculation

0:31:30.160 --> 0:31:32.520
<v Speaker 10>on why that is. I think, you know, historically speaking,

0:31:32.560 --> 0:31:35.600
<v Speaker 10>when you think of things like software. Thirty years ago,

0:31:35.720 --> 0:31:38.000
<v Speaker 10>software came, it was an actual thing, it was a

0:31:38.040 --> 0:31:41.680
<v Speaker 10>disc that may still be one of the items. It's

0:31:41.720 --> 0:31:45.040
<v Speaker 10>accounted as a good, but it's no longer a good.

0:31:45.080 --> 0:31:47.600
<v Speaker 10>It's it's a downloadable thing, it's a software as a service,

0:31:47.640 --> 0:31:51.240
<v Speaker 10>it's a something else. And so there's probably some noise

0:31:51.280 --> 0:31:53.120
<v Speaker 10>in there that's not allowing us to see some of

0:31:53.120 --> 0:31:53.680
<v Speaker 10>this clearly.

0:31:54.040 --> 0:31:54.920
<v Speaker 6>That's really interesting.

0:31:55.360 --> 0:31:57.240
<v Speaker 2>Thanks a lot, Ryan, this was great. We both really

0:31:57.280 --> 0:32:00.320
<v Speaker 2>loved this segment. A Ryan Fox, Boomberg Intelligence Analyst, covers

0:32:00.360 --> 0:32:04.240
<v Speaker 2>paper packaging trends, sort of diving in to all of that.

0:32:06.400 --> 0:32:10.280
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:32:10.360 --> 0:32:13.880
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0:32:20.280 --> 0:32:23.040
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0:32:24.880 --> 0:32:28.080
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0:32:28.280 --> 0:32:30.440
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0:32:30.480 --> 0:32:33.120
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0:32:37.400 --> 0:32:40.080
<v Speaker 2>there's about four hundred of them and a large chunk

0:32:40.120 --> 0:32:43.480
<v Speaker 2>of them actually cover ESG. So let's rewind to about

0:32:43.480 --> 0:32:47.120
<v Speaker 2>four years ago, middle of COVID. Everyone was talking about ESG.

0:32:47.440 --> 0:32:50.000
<v Speaker 2>Blackrock was talking about allocating a bunch to ESG.

0:32:50.440 --> 0:32:53.520
<v Speaker 6>This was where all the money was supposed to be flowing.

0:32:53.920 --> 0:32:57.280
<v Speaker 2>A new report from Sin Contractor She's Bloomberg Intelligence senior

0:32:57.480 --> 0:33:02.680
<v Speaker 2>ESG strategists says that liquidation of US ESG ETFs reached

0:33:02.720 --> 0:33:05.880
<v Speaker 2>almost thirty percent of all closings so far this year

0:33:05.920 --> 0:33:10.280
<v Speaker 2>and could continue amid some slowing our flows, particularly if

0:33:10.320 --> 0:33:14.560
<v Speaker 2>the backlash we've now seen in the US on ESG continues. Geen,

0:33:14.680 --> 0:33:17.040
<v Speaker 2>great to see you, thank you for joining in studio.

0:33:17.680 --> 0:33:19.800
<v Speaker 2>So I guess let's take a step back for a second,

0:33:19.840 --> 0:33:23.800
<v Speaker 2>and ESG it's environmental, social and governance. Right, where did

0:33:23.840 --> 0:33:26.560
<v Speaker 2>that go so wrong? Like how do we get from

0:33:26.640 --> 0:33:28.240
<v Speaker 2>twenty twenty to here?

0:33:29.200 --> 0:33:31.560
<v Speaker 11>So Alex, just to you know, paint a few numbers.

0:33:32.440 --> 0:33:35.520
<v Speaker 11>In the first quarter, we saw about four billion in outflows.

0:33:35.560 --> 0:33:38.280
<v Speaker 11>I mean, compare this to twenty twenty one, which is

0:33:38.320 --> 0:33:42.400
<v Speaker 11>about I want to say, close to fifty billion in influats. Now,

0:33:43.600 --> 0:33:45.880
<v Speaker 11>I wouldn't call it where we went wrong. I think

0:33:45.920 --> 0:33:49.400
<v Speaker 11>what we're seeing today is slowing flows because you know,

0:33:49.440 --> 0:33:52.040
<v Speaker 11>the market is maturing. But at the same time, these

0:33:52.120 --> 0:33:56.280
<v Speaker 11>outflows that we're seeing, they're very concentrated to a few funds,

0:33:56.280 --> 0:33:59.360
<v Speaker 11>so actually no il repurpose. Where we went wrong is

0:33:59.400 --> 0:34:02.880
<v Speaker 11>that that rise in assets was very concentrated to a

0:34:02.920 --> 0:34:06.200
<v Speaker 11>few funds and a few investors. So it's very noticeable

0:34:06.200 --> 0:34:08.320
<v Speaker 11>when that comes out, and that's what we're seeing.

0:34:09.320 --> 0:34:12.279
<v Speaker 4>So who are those investors or those investor types and

0:34:12.840 --> 0:34:14.000
<v Speaker 4>why are they pulling the money out?

0:34:14.320 --> 0:34:19.200
<v Speaker 11>So one example is ESGU. It's the icehes ESG aware

0:34:19.200 --> 0:34:22.640
<v Speaker 11>it's probably the largest ESG ETF in the world. Last

0:34:22.719 --> 0:34:26.400
<v Speaker 11>year it's saw about nine billion in outflows, and we

0:34:26.480 --> 0:34:29.359
<v Speaker 11>attribute this to model portfolio changes, So you know, that

0:34:29.440 --> 0:34:32.160
<v Speaker 11>could be allocative or it could be due to ESG.

0:34:32.280 --> 0:34:36.440
<v Speaker 11>For example, you know, an investor doesn't want equity anyone,

0:34:36.520 --> 0:34:38.759
<v Speaker 11>they just want cash. They just you know, sell out

0:34:38.760 --> 0:34:42.000
<v Speaker 11>of equity. So whether it's ESG, whether it's not, to

0:34:42.040 --> 0:34:44.640
<v Speaker 11>be honest, we don't know. A lot of these outflows

0:34:44.640 --> 0:34:48.000
<v Speaker 11>are also from European investors. I wan't attribute at that

0:34:48.120 --> 0:34:49.440
<v Speaker 11>to the backlash.

0:34:49.080 --> 0:34:51.600
<v Speaker 2>Meaning that the backlash has been more in the US

0:34:51.680 --> 0:34:54.680
<v Speaker 2>versus say, in Europe. Correct, you do we need to

0:34:54.800 --> 0:34:59.240
<v Speaker 2>separate the the S and the G, separate the social

0:34:59.239 --> 0:35:01.600
<v Speaker 2>from the government's from the environmental or at least separate

0:35:01.640 --> 0:35:02.480
<v Speaker 2>the environmental part.

0:35:02.960 --> 0:35:05.760
<v Speaker 11>I would say no, I mean, I know that's an argument,

0:35:05.840 --> 0:35:09.200
<v Speaker 11>but I still think that ESG is about material rising

0:35:09.280 --> 0:35:12.080
<v Speaker 11>opportunities to a particular company. For some it's E, for

0:35:12.160 --> 0:35:14.520
<v Speaker 11>some it's S. So it's going to be very hard

0:35:14.520 --> 0:35:15.880
<v Speaker 11>to talk about this separately.

0:35:16.520 --> 0:35:20.439
<v Speaker 4>To what extent is the environment for flows in ESG

0:35:20.640 --> 0:35:23.600
<v Speaker 4>in the US versus Europe or US versus the rest world?

0:35:24.000 --> 0:35:24.960
<v Speaker 4>How are they different?

0:35:25.520 --> 0:35:28.840
<v Speaker 11>Very different? Okay, so again the US four billion and

0:35:28.880 --> 0:35:32.440
<v Speaker 11>outflows the first quarter, you're a total flows for about

0:35:32.440 --> 0:35:34.239
<v Speaker 11>six billion in in flows so the rest of it

0:35:34.360 --> 0:35:39.800
<v Speaker 11>was almost entirely Europe. So Europe continues to sort of it.

0:35:40.120 --> 0:35:42.800
<v Speaker 4>Like everything in this country, it's been politicized.

0:35:43.040 --> 0:35:47.640
<v Speaker 11>Yes, okay, well the slowing influence is the politics. But

0:35:47.680 --> 0:35:51.280
<v Speaker 11>the outflows are this concentration. Sorry, Alex, but I was gonna.

0:35:51.040 --> 0:35:52.960
<v Speaker 2>Say, but but but also isn't it just that for

0:35:53.000 --> 0:35:56.960
<v Speaker 2>a while, ESG tracked tech because just on a pure

0:35:57.080 --> 0:35:59.319
<v Speaker 2>e level, and in S and G.

0:35:59.400 --> 0:36:00.960
<v Speaker 6>They just have employees.

0:36:01.320 --> 0:36:04.799
<v Speaker 2>They until the data center situation came up, they were

0:36:04.840 --> 0:36:08.279
<v Speaker 2>just emitting less carbon because they're not industrial companies. They're

0:36:08.280 --> 0:36:12.560
<v Speaker 2>not cyclical companies in that way. Well, now what so.

0:36:13.200 --> 0:36:15.279
<v Speaker 11>Alex, if you're asking, you know, is this shriven by

0:36:15.320 --> 0:36:18.680
<v Speaker 11>performance because es she tends to a certain way, I

0:36:18.719 --> 0:36:21.440
<v Speaker 11>would say I don't think so. I mean, twenty twenty

0:36:21.480 --> 0:36:24.640
<v Speaker 11>two was a bad year. Yes, but last year ESG

0:36:24.760 --> 0:36:28.120
<v Speaker 11>ETFs were about performing with the market about fifty percent

0:36:28.200 --> 0:36:31.759
<v Speaker 11>beat the market, which is average. But we still saw

0:36:31.840 --> 0:36:35.600
<v Speaker 11>so many outflows. It's that concentration from a few funds,

0:36:35.600 --> 0:36:39.240
<v Speaker 11>not this you know, mass exodus because of a certain factor.

0:36:39.880 --> 0:36:40.279
<v Speaker 5>Are there?

0:36:40.360 --> 0:36:42.279
<v Speaker 4>Do we know where we are in that fun and

0:36:42.320 --> 0:36:44.440
<v Speaker 4>flow situation? The folks that have pulled it out. Are

0:36:44.440 --> 0:36:47.680
<v Speaker 4>we near or at or nowhere near that that the

0:36:47.719 --> 0:36:48.840
<v Speaker 4>point of that being over? Do we know?

0:36:49.320 --> 0:36:51.480
<v Speaker 11>We don't know. I call it a bit of a pause.

0:36:51.600 --> 0:36:55.279
<v Speaker 11>I mean, unless all this concentration risk unravels, I don't

0:36:55.280 --> 0:36:57.040
<v Speaker 11>know when we're going to stop seeing outflows at the

0:36:57.040 --> 0:36:59.040
<v Speaker 11>same time we're not really seeing in flows.

0:36:59.600 --> 0:37:02.080
<v Speaker 2>So I guess how many products are out there now?

0:37:02.880 --> 0:37:04.239
<v Speaker 6>And how many products should there be?

0:37:05.800 --> 0:37:09.280
<v Speaker 11>I right say roughly. I would say globally it's definitely

0:37:09.360 --> 0:37:12.560
<v Speaker 11>north of a thousand. In the US, it's probably not

0:37:12.760 --> 0:37:15.200
<v Speaker 11>of five hundred, again, very roughly.

0:37:14.960 --> 0:37:16.720
<v Speaker 4>And mostly these are ETFs.

0:37:17.000 --> 0:37:19.920
<v Speaker 11>These are these are ETFs. Su yes, only ETFs, and

0:37:19.960 --> 0:37:24.560
<v Speaker 11>they spun across multiple things right esg. Gender, climate, clean energy,

0:37:24.800 --> 0:37:28.279
<v Speaker 11>all these different themes. How many should there be? I

0:37:28.600 --> 0:37:30.439
<v Speaker 11>don't know. And I would say, Alex, you know that's

0:37:31.000 --> 0:37:33.239
<v Speaker 11>a little bit of a reason for these liquidations. There

0:37:33.320 --> 0:37:36.840
<v Speaker 11>was such an oversupply in twenty twenty and twenty twenty

0:37:36.880 --> 0:37:41.600
<v Speaker 11>one that these uncompetitive strategies are shutting down. And that's normal.

0:37:41.760 --> 0:37:46.239
<v Speaker 4>So if I will dan Off, portfolio manager of Fidelity Contrafund,

0:37:46.920 --> 0:37:49.280
<v Speaker 4>who's done a great job for me, thank you, will

0:37:50.880 --> 0:37:54.680
<v Speaker 4>do those funds where to what extent are they factoring

0:37:54.719 --> 0:37:58.440
<v Speaker 4>in ESG analysis into their investment criteria. Is it different

0:37:58.440 --> 0:38:00.000
<v Speaker 4>today than it was two or three years ago?

0:38:01.040 --> 0:38:03.719
<v Speaker 11>It depends. I mean, I think a lot of the

0:38:03.760 --> 0:38:06.200
<v Speaker 11>conversations are shifting a little bit. You have you know,

0:38:06.360 --> 0:38:09.239
<v Speaker 11>dedicated ESG funds. Climate is in the name, es she

0:38:09.360 --> 0:38:11.360
<v Speaker 11>is in the name, But then you have these broad

0:38:11.800 --> 0:38:15.520
<v Speaker 11>esc integrated funds, and those are always you know, considering

0:38:15.640 --> 0:38:19.200
<v Speaker 11>risks and opportunities. But I think it's changed as data availability.

0:38:19.280 --> 0:38:21.760
<v Speaker 11>You have just a lot more data around climate change,

0:38:21.760 --> 0:38:25.040
<v Speaker 11>around physical risks, So people are asking these more of

0:38:25.120 --> 0:38:27.799
<v Speaker 11>all questions around, you know, things that I wouldn't have

0:38:27.880 --> 0:38:30.000
<v Speaker 11>asked probably either a few years back.

0:38:30.920 --> 0:38:34.080
<v Speaker 2>I guess my question always is until you can financially

0:38:34.120 --> 0:38:38.239
<v Speaker 2>measure the benefit of a strategy that is focused on ESG,

0:38:39.280 --> 0:38:41.040
<v Speaker 2>it's going to be very difficult and then make a

0:38:41.080 --> 0:38:44.000
<v Speaker 2>case for an investor or CEO of why these strategies matter.

0:38:44.440 --> 0:38:46.960
<v Speaker 6>Have we been able to do that yet?

0:38:47.320 --> 0:38:52.120
<v Speaker 11>So my research is starting to answer that. So I'm

0:38:52.120 --> 0:38:55.680
<v Speaker 11>starting to do industrial level analysis into what impacts risk

0:38:55.760 --> 0:39:00.680
<v Speaker 11>and returns. For example, in materials, in governance, we find

0:39:00.840 --> 0:39:03.680
<v Speaker 11>lower drawdowns to lower risk. We still do you know,

0:39:03.760 --> 0:39:07.560
<v Speaker 11>explore that and expand that, but I will stay within

0:39:07.680 --> 0:39:10.440
<v Speaker 11>the E and S. It's particularly hard because of the

0:39:10.440 --> 0:39:13.839
<v Speaker 11>limited data historically, right, yeah, all.

0:39:13.840 --> 0:39:16.160
<v Speaker 2>Right, Sheen, thanks a lot. She hain't contractor Bloomberg Intelligence

0:39:16.239 --> 0:39:19.160
<v Speaker 2>and your ESG a strategist. I think, at least for

0:39:19.320 --> 0:39:22.200
<v Speaker 2>my work in energy transition space, there's no carbon price.

0:39:22.400 --> 0:39:24.399
<v Speaker 2>So you can't do that on the environmental side because

0:39:24.440 --> 0:39:26.160
<v Speaker 2>you can't say, look, you admit.

0:39:26.040 --> 0:39:27.160
<v Speaker 6>This, it costs this.

0:39:27.400 --> 0:39:30.319
<v Speaker 2>There's nothing concrete that. Then a CEO can go to

0:39:30.360 --> 0:39:31.919
<v Speaker 2>the board or go to shareholders and be.

0:39:31.800 --> 0:39:33.319
<v Speaker 6>Like, look, guys, this is why I'm doing this.

0:39:33.880 --> 0:39:35.439
<v Speaker 4>Ah, it is a big problem.

0:39:35.480 --> 0:39:36.080
<v Speaker 6>It's a big problem.

0:39:36.160 --> 0:39:37.920
<v Speaker 2>Yes, and then how to do that and you have

0:39:37.960 --> 0:39:39.879
<v Speaker 2>to have everyone agree on it or else you're doing

0:39:39.880 --> 0:39:42.680
<v Speaker 2>a cap and trade situation, which is very confusing. You're

0:39:42.719 --> 0:39:44.799
<v Speaker 2>just gonna wind up importing something from say China or

0:39:44.840 --> 0:39:46.879
<v Speaker 2>India where it has higher emissions. And then why would

0:39:46.880 --> 0:39:49.840
<v Speaker 2>you pay more for something that's internal in eternal, I

0:39:49.840 --> 0:39:52.640
<v Speaker 2>mean in country. I think that that's definitely a big problem.

0:39:53.000 --> 0:39:55.360
<v Speaker 2>And also, how do you measure success of say diversity

0:39:55.360 --> 0:39:58.240
<v Speaker 2>and inclusion. Is it a straight up numbers on your board?

0:39:58.239 --> 0:40:00.640
<v Speaker 2>But does that actually materially make a difference unless you're

0:40:00.640 --> 0:40:01.640
<v Speaker 2>open to their ideas.

0:40:01.760 --> 0:40:03.560
<v Speaker 4>Yeah, I can talk well. In data. You can go

0:40:03.600 --> 0:40:07.000
<v Speaker 4>to the FA screen for any security and there's an

0:40:07.200 --> 0:40:09.959
<v Speaker 4>ESG tab In addition to income statement, balance sheet, cash

0:40:09.960 --> 0:40:12.600
<v Speaker 4>flow statement, there's a separate tap for ESG and that's

0:40:12.600 --> 0:40:14.840
<v Speaker 4>for Shaheen and a lot of other folks at Bloomberg's

0:40:14.840 --> 0:40:17.520
<v Speaker 4>Global Data try to aggregate a lot of this data

0:40:17.560 --> 0:40:20.240
<v Speaker 4>as we lets help out our clients for ESG analysis.

0:40:20.320 --> 0:40:24.320
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0:40:24.320 --> 0:40:27.759
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