WEBVTT - Kohl’s, Oracle Earnings , Boeing Troubles

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Intelligence

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<v Speaker 1>with Alex Steinhl and Paul Sweeney.

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<v Speaker 2>The real app performance has been in US corporate high yield.

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<v Speaker 3>Are the companies lean enough? Have they trimmed all the fats?

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<v Speaker 2>The semiconductor business is a really cyclical business.

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<v Speaker 1>Breaking market headlines and corporate news from across the globe.

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<v Speaker 3>Do investors like the M and A that we've seen?

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<v Speaker 2>These are two.

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<v Speaker 4>Big time blue chip companies.

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<v Speaker 3>The window between the peak and cut changing super fast.

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<v Speaker 1>Bloomberg Intelligence with Alex Steinehl and Paul Sweeney on Bloomberg Radio.

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<v Speaker 4>Hey everyone, I'm Alex Steele and I'm Jen Ryan filling

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<v Speaker 4>in for Paul Sweeney.

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<v Speaker 5>On today's Bloomberg Intelligence Show.

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<v Speaker 3>We're going to dig inside the big business stories impacting

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<v Speaker 3>Wall Street and the global markets.

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<v Speaker 4>Each and every week we provide in depth research and

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<v Speaker 4>data on some of the two thousand companies and one

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<v Speaker 4>hundred and thirty industries our analysts cover worldorldwide.

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<v Speaker 3>Today, everyone to take a look at how computer tech

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<v Speaker 3>company Oracle is showing progress and it's been to capture

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<v Speaker 3>more of the competitive market.

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<v Speaker 4>Plus we'll discuss how a physics whiz made a fortune

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<v Speaker 4>betting on nature's catastrophes.

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<v Speaker 5>But first, let's take a look at retail.

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<v Speaker 3>You got Department store of Coals reported same store sales

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<v Speaker 3>that fell four point three percent in the fourth quarter.

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<v Speaker 3>That represents a small improvement over the five point five

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<v Speaker 3>percent decline during the prior quarter. It also shows, though,

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<v Speaker 3>that Coles has struggled to attract shoppers during the holiday

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<v Speaker 3>shopping season.

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<v Speaker 4>For more on this, we were joined by Mary Ross,

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<v Speaker 4>Gilbert Bloomberg Intelligence senior equity analyst covering retail, and Mary

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<v Speaker 4>told us she's still optimistic that Coals can boost growth.

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<v Speaker 6>They do have so Fora and I'm sure that so

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<v Speaker 6>Forora carries the brands that you care about. So so

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<v Speaker 6>Fora has been a key driver for Coals, and that's

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<v Speaker 6>the reason why their sales aren't that bad. You know,

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<v Speaker 6>if you look at the comp sales, they fell one

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<v Speaker 6>percent in the quarter at the stores, So total comp

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<v Speaker 6>sales were down four point three percent orders and consensus

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<v Speaker 6>three percent an estimate, but digital sales were down ten percent.

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<v Speaker 6>And now going forward, after we get beyond the first

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<v Speaker 6>quarter in twenty twenty four, we should see the overall

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<v Speaker 6>comp sales do better. One with this so Fora initiative,

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<v Speaker 6>because the comparable sales for so Fora was up twenty

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<v Speaker 6>five percent in the fourth quarter, so we've been seeing

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<v Speaker 6>double digit increases there, so that will help. But there's

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<v Speaker 6>a number of other initiatives, including the news that they're

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<v Speaker 6>going to be putting Babies or Us shops into about

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<v Speaker 6>two hundred stores by the fall, and that really fills

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<v Speaker 6>a void in the market. I'm sure you're aware that. Well,

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<v Speaker 6>what happened with Bye Bye a Baby and what about

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<v Speaker 6>Member Toys r US that used to be a go

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<v Speaker 6>to place when you were expecting or how you know

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<v Speaker 6>a baby. You could go there, get your strollers, get

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<v Speaker 6>all your products there.

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<v Speaker 4>We talk about what's good in their future. It sounds

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<v Speaker 4>like it's a lot of stuff that is not cold.

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<v Speaker 4>It's so far it's babies are us. What's the issue

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<v Speaker 4>with the fundamental core Coals offering.

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<v Speaker 6>So they're revamping the merchandise because that was part of it,

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<v Speaker 6>is just not having the right assortments. So they're redoing

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<v Speaker 6>shoes and they're going to be bringing in sketchers. They

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<v Speaker 6>already have Nike, they have Audi Doos, and now you're

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<v Speaker 6>also going to see them bring in some youth brands,

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<v Speaker 6>So they're going to bring in Quicksilver, Errol, Postall, Madden

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<v Speaker 6>limited to in Roxy, so those are also going to

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<v Speaker 6>be helping on the apparel side. So with the overall

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<v Speaker 6>revamp that they're doing on apparel, and some of their

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<v Speaker 6>private brands are actually they resonate pretty well, like for

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<v Speaker 6>in Babies, they have Jumping Beans that does really well.

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<v Speaker 6>So it's really a host of a lot of things

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<v Speaker 6>that they've done with the stores. If you go in

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<v Speaker 6>them now, they're a lot brighter. The culture there has

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<v Speaker 6>really been boosted. We've noticed a difference just from a

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<v Speaker 6>year ago on how much the stores have been transformed.

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<v Speaker 6>So that's helping.

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<v Speaker 3>Yeah, that's so interesting. When I went and I was

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<v Speaker 3>looking and you know, kids grow like weeds, right, my

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<v Speaker 3>daughter's ninees. I was looking for pants and I was like,

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<v Speaker 3>oh my god, they have Nike. I was like, genuinely

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<v Speaker 3>like it. I had lots of those moments whilst walking around.

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<v Speaker 4>I'm gonna have to check it out.

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<v Speaker 3>Okay, we're listening all the good stuff here. So why

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<v Speaker 3>did Coles give weaker than expected guides for the full year?

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<v Speaker 6>Part of that is because we had a new ruling

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<v Speaker 6>that came out from the Consumer Financial Bureau saying, Okay,

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<v Speaker 6>we're going to cap late fees on credit cards to

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<v Speaker 6>eight dollars. So that's going to have a negative impact

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<v Speaker 6>for department stores generally because they tend to have the

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<v Speaker 6>biggest exposure, and so Coles was one of them. They

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<v Speaker 6>generate a fair amount of income from their credit card portfolio,

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<v Speaker 6>and so they guided that that income will be down

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<v Speaker 6>mid teams and that's about one hundred and thirty five

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<v Speaker 6>ish million is what we're estimating the impact this year.

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<v Speaker 6>And that's not the full year impact. But they introduced

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<v Speaker 6>a co branded card and in twenty twenty five they

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<v Speaker 6>hope to be able the offset the loss of income

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<v Speaker 6>that you know they'll experience.

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<v Speaker 5>But we'll see.

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<v Speaker 6>But that's one of the reasons why you're going to

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<v Speaker 6>see some pressure on the margin's side.

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<v Speaker 4>What's the consumer favorite these days? I mean, you've listed

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<v Speaker 4>all these interesting brands turning up at Coal's, but is

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<v Speaker 4>that enough to get the consumers through the door, or

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<v Speaker 4>you know, can you tell us a little bit more

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<v Speaker 4>broadly about the retail space. Are there other shops that

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<v Speaker 4>consumers are preferring these days?

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<v Speaker 7>Yeah?

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<v Speaker 6>Well, clearly off price. And when you think about what's

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<v Speaker 6>happening here with Coals, they're buying frequently, which is more

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<v Speaker 6>of an off price strategy there all the buying occurs

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<v Speaker 6>on a weekly basis. Tom Kingsbury, who's the CEO.

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<v Speaker 8>He is the.

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<v Speaker 6>One who turned Burlington Stores into the fast growing off

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<v Speaker 6>price retailer.

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<v Speaker 8>That it is.

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<v Speaker 6>He lends a lot of credibility. So yes, you're seeing

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<v Speaker 6>the consumer that's attracted to Coals, they also shop at

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<v Speaker 6>off price, and off price has been a big winner

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<v Speaker 6>for that value consumer. And then other retailers that are

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<v Speaker 6>doing well are those that are executing and really delivering

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<v Speaker 6>on the merchandise. And I'm speaking to apparel retailers like

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<v Speaker 6>an Abercrombie Urban Outfitters with their anthropology and their free

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<v Speaker 6>people brands. So it's really it's kind of a tale

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<v Speaker 6>of two stories. Those that are executing are delivering on results,

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<v Speaker 6>and here we're in a transition phase at Coal's and

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<v Speaker 6>they're hoping to be able to turn the tide of

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<v Speaker 6>declining sales for this department store operator. And they do

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<v Speaker 6>have one benefit. They're off the mall, not in the mall.

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<v Speaker 6>That makes them different, so it's easier you know, to

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<v Speaker 6>get into the parking lot, get into the store and

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<v Speaker 6>get you know, and get out again. So it's easier access.

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<v Speaker 6>And like you pointed out, they have Amazon returns. It's

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<v Speaker 6>not additive to sales, but it does bring in traffic. True,

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<v Speaker 6>and then more importantly, so Fora has been the biggest driver.

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<v Speaker 4>Our Thanks to Mary Ross Gilbert Bloomberg Intelligence senior equity

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<v Speaker 4>analyst covering retail, we.

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<v Speaker 3>Move now to the airline industry and Boeing. So Boeing

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<v Speaker 3>has been dealing with the growing fallout from an early

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<v Speaker 3>January accident that has since plunged the company into crisis,

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<v Speaker 3>and it's also caused Boeing to reduced aircraft deliveries.

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<v Speaker 5>As a result.

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<v Speaker 4>Southwest Airlines announced this week that it plans to cut

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<v Speaker 4>capacity this year, halt most hiring, and review its spending plants.

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<v Speaker 4>And separately, Boeing said that it's aircraft deliveries trailed rival

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<v Speaker 4>Airbus last month.

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<v Speaker 5>So let's get more on all of this.

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<v Speaker 3>We were joined by George Ferguson, Bloomberg Intelligence Senior Aerospace,

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<v Speaker 3>Defense and Airlines analyst, and we asked him how challenges

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<v Speaker 3>of Boeing will impact the US airline market going forward.

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<v Speaker 9>I think that, you know, the Boeing challenges will provide

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<v Speaker 9>a little bit of firmness to the marketplace. But I

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<v Speaker 9>still see, I think a US airline market that looks

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<v Speaker 9>like it has plenty of capacity in it, and I

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<v Speaker 9>still think fares are flatish to maybe going down for

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<v Speaker 9>the year unless Boeing really curtails their deliveries for the year.

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<v Speaker 4>Yeah, it's interesting because if I read this issue about

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<v Speaker 4>Boeing and I read this cut in capacity, but my

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<v Speaker 4>first thought is going to be that that means higher

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<v Speaker 4>prices for consumers. So what accounts for the difference there?

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<v Speaker 9>Well, first of all, I think the US market already

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<v Speaker 9>had sufficient capacity last year. I think we're bouncing back

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<v Speaker 9>from a pandemic. We saw a bunch of sort of

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<v Speaker 9>revenge travel earlier in this bounce back, and that was

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<v Speaker 9>very leisure driven. I don't think we're going to see

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<v Speaker 9>as much of the leisure driven travel this year. Not

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<v Speaker 9>that I got to pay whatever it's going to take

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<v Speaker 9>to get down to Disney, so you'll see it.

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<v Speaker 10>Maybe a smaller.

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<v Speaker 9>Growth amount in leisure and business isn't fully back.

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<v Speaker 10>We know that.

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<v Speaker 9>So we've got twenty nineteen more than twenty nineteen levels

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<v Speaker 9>of capacity in the marketplace, less business and maybe a

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<v Speaker 9>little more leisure. So when I add that all up again,

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<v Speaker 9>I kind of see a market that looks like it's

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<v Speaker 9>got plenty of capacity. If you look at the guidance

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<v Speaker 9>that Southwest gave on revenue per available seat mile, they

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<v Speaker 9>lowered that at this discussion, So it tells me that

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<v Speaker 9>the market is weaker. You know, at this guidance point,

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<v Speaker 9>the market is weaker than they initially thought.

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<v Speaker 10>And at the same time, fuel prices were a little

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<v Speaker 10>bit higher. So what it looks like.

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<v Speaker 9>To me is Southwest numbers are going to come in

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<v Speaker 9>lighter than we expected in one queue. That's not a

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<v Speaker 9>super healthy market. That's on a market that's got so

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<v Speaker 9>much constraint that they can price whatever they want to

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<v Speaker 9>for airline tickets and make lots of profits.

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<v Speaker 3>Okay, so it's a trifecta, Like they do have a

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<v Speaker 3>specific Boeing issue and the fuel prices and then the

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<v Speaker 3>broader softer market that's a general airline issue. United also

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<v Speaker 3>told Boeing to stop building seven thirty seven Max.

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<v Speaker 5>Ten jets for the carrier. That sounds dramatic and bad.

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<v Speaker 5>What does that actually mean?

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<v Speaker 9>You know, I think it sounds like Scott Kirby, the

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<v Speaker 9>CEO of United, is just getting real about what he

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<v Speaker 9>thinks Boeing can deliver in the near term. I guess,

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<v Speaker 9>you know, if you sit around and you kind to

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<v Speaker 9>hope and hope and hope they're going to get the

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<v Speaker 9>Max ten certified, and you wait on those deliveries based

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<v Speaker 9>on that hope, and the certification keeps getting pushed out,

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<v Speaker 9>and it's really hard to plan. So Scott Kirby said, hey, look,

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<v Speaker 9>stop worrying about the Dash ten. Just bring me Dashed on.

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<v Speaker 9>He's saying, look, I just want airplanes. Bring me airplanes.

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<v Speaker 9>I think the market's generally going to be strong for me.

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<v Speaker 9>He's in the premium segment too, right, which I think

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<v Speaker 9>from the guidance we saw from Airlines, premium is holding

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<v Speaker 9>up better.

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<v Speaker 10>So he wants airplanes.

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<v Speaker 9>He wants to go out and find some of those

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<v Speaker 9>three twenty one larger scale from Airbus.

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<v Speaker 10>I think it's okay. I think Scott's being a realist.

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<v Speaker 9>There's a lot of challenges right now at Boeing, and

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<v Speaker 9>it feels to me like certification.

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<v Speaker 10>For the Dash seven and the Dash ten.

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<v Speaker 9>You know, the dashten being the biggest variant of the

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<v Speaker 9>seven thirty seven. There's just almost no way they're going

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<v Speaker 9>to get pushed out longer than what we expect given

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<v Speaker 9>the problems in manufacturing and Boeing right now.

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<v Speaker 5>And what is that?

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<v Speaker 4>So is there any redacross that we should start thinking

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<v Speaker 4>about for Airbus?

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<v Speaker 9>Here's the challenge of this industry right the readacross is. Look,

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<v Speaker 9>Airbus ought to be able to go get a lot

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<v Speaker 9>more orders for its Airbus A three to twenty one.

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<v Speaker 9>But the problem Scott has, and he's a really good

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<v Speaker 9>customer and they're working hard to find him slots, is

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<v Speaker 9>that they probably can't get him three twenty one's for

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<v Speaker 9>four or five years from now. So that doesn't fix

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<v Speaker 9>his near term problems. And customers that would be smaller

0:10:59.720 --> 0:11:02.480
<v Speaker 9>than United have an even larger problem because air Bus

0:11:02.559 --> 0:11:03.880
<v Speaker 9>isn't going to work as hard to try to get

0:11:03.920 --> 0:11:07.880
<v Speaker 9>them into the delivery cadence. The industry is operating at

0:11:08.000 --> 0:11:11.720
<v Speaker 9>sort of max capacity now. It's pushing its supply chains

0:11:11.760 --> 0:11:14.959
<v Speaker 9>to do better, but we just don't see increases of

0:11:15.080 --> 0:11:17.800
<v Speaker 9>you know, build rates kind of more than ten percent

0:11:17.880 --> 0:11:20.720
<v Speaker 9>per year at best. It's really hard to bring up

0:11:20.720 --> 0:11:24.360
<v Speaker 9>that supply chain, So I think the duopoly means that

0:11:24.640 --> 0:11:26.920
<v Speaker 9>Airbus can't really capitalize that well on this.

0:11:27.520 --> 0:11:30.200
<v Speaker 4>If you think about what the challenges are facing Boeing,

0:11:30.600 --> 0:11:32.680
<v Speaker 4>is there much of a difference to the company if

0:11:32.720 --> 0:11:35.240
<v Speaker 4>we get a soft economic landing, a hard economic landing,

0:11:35.320 --> 0:11:36.000
<v Speaker 4>or no landing.

0:11:36.920 --> 0:11:39.560
<v Speaker 10>Honestly, I think for all the air framers there isn't. Right.

0:11:39.640 --> 0:11:43.920
<v Speaker 9>So again, Airbus and Boeing building aircraft at rates much

0:11:44.000 --> 0:11:46.960
<v Speaker 9>lower than the customers are demanding right now. You know,

0:11:47.000 --> 0:11:49.080
<v Speaker 9>customers like Scott Kirby want to come in and buy

0:11:49.120 --> 0:11:51.920
<v Speaker 9>a three twenty one's next three or four years, can't

0:11:51.960 --> 0:11:52.480
<v Speaker 9>get them.

0:11:52.760 --> 0:11:53.800
<v Speaker 10>So I think even in.

0:11:53.800 --> 0:11:58.920
<v Speaker 9>A hard landing, soft landing, no recession environment, these folks

0:11:58.960 --> 0:12:02.440
<v Speaker 9>just keep working on making the supply chain better, so

0:12:02.480 --> 0:12:04.920
<v Speaker 9>the supply chain can put more of the components on

0:12:04.960 --> 0:12:07.920
<v Speaker 9>the factory floor and build more aircraft.

0:12:07.960 --> 0:12:08.720
<v Speaker 10>Although I would.

0:12:08.559 --> 0:12:12.480
<v Speaker 9>Say maybe in a harder economic landing it might free

0:12:12.559 --> 0:12:15.240
<v Speaker 9>up some of the labor that they need and keep

0:12:15.280 --> 0:12:18.560
<v Speaker 9>some of the labor more stable at their suppliers. And

0:12:18.600 --> 0:12:22.319
<v Speaker 9>that's really the challenge right here, is labor at the suppliers.

0:12:22.720 --> 0:12:25.920
<v Speaker 9>Stabilizing it. You need smart people there who've been doing

0:12:26.160 --> 0:12:28.080
<v Speaker 9>the process for a long time, so they do it

0:12:28.160 --> 0:12:31.040
<v Speaker 9>right all the time, know the right processes and procedures.

0:12:31.360 --> 0:12:33.880
<v Speaker 3>All right, our thanks to George ferguson Bloomberg Intelligence and

0:12:33.920 --> 0:12:35.920
<v Speaker 3>your Aerospace, Defense and Airlines analyst.

0:12:36.160 --> 0:12:38.520
<v Speaker 4>Coming up, we'll break down why investors were excited this

0:12:38.559 --> 0:12:40.720
<v Speaker 4>week about the computer tech company Oracle.

0:12:41.040 --> 0:12:43.440
<v Speaker 3>You were listening to Bloomberg Intelligence some on Bloomberg Radio,

0:12:43.520 --> 0:12:46.080
<v Speaker 3>providing in depth research and data on two thousand companies

0:12:46.120 --> 0:12:48.840
<v Speaker 3>in one hundred and thirty industries. You can access Bloomberg

0:12:48.880 --> 0:12:50.760
<v Speaker 3>Intelligence through Bigo on the terminal.

0:12:50.840 --> 0:12:53.880
<v Speaker 4>I'm Alex Steele and I'm Jen Ryan. This is Bloomberg.

0:13:00.960 --> 0:13:04.840
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:13:04.920 --> 0:13:07.600
<v Speaker 1>weekdays at ten am Eastern on Apple car Play and

0:13:07.600 --> 0:13:10.679
<v Speaker 1>Android Auto with the Bloomberg Business app. Listen on demand

0:13:10.679 --> 0:13:15.559
<v Speaker 1>wherever you get your podcasts, or watch us live on YouTube.

0:13:16.000 --> 0:13:18.520
<v Speaker 4>Hey everyone, I'm Alex Steel and I'm Jen Ryan filling

0:13:18.520 --> 0:13:19.480
<v Speaker 4>in for Paul Sweeney.

0:13:19.600 --> 0:13:21.280
<v Speaker 5>We moved next to e SG.

0:13:21.520 --> 0:13:24.520
<v Speaker 3>That's Environmental, Social and Governance Strategy. It's been one of

0:13:24.520 --> 0:13:26.280
<v Speaker 3>the main themes over the past few years.

0:13:26.400 --> 0:13:29.480
<v Speaker 4>And you know Alex Annett thirteen billion dollars was pulled

0:13:29.520 --> 0:13:32.560
<v Speaker 4>last year from US based sustainable funds due to subparer

0:13:32.559 --> 0:13:36.400
<v Speaker 4>investment performance and heightened political scrutiny. That's according to analysts

0:13:36.400 --> 0:13:37.200
<v Speaker 4>at morning Stars.

0:13:37.200 --> 0:13:39.680
<v Speaker 3>So we were joined this week by SEEN contractor Bloomberg

0:13:39.720 --> 0:13:42.040
<v Speaker 3>Intelligence and your ESG strategists, and she took a look

0:13:42.040 --> 0:13:44.719
<v Speaker 3>at ESG ETFs and we first asked her to give

0:13:44.720 --> 0:13:47.080
<v Speaker 3>her outlook for the ETFs in twenty twenty four.

0:13:47.120 --> 0:13:51.040
<v Speaker 7>In the US. We expect to continue it pause now.

0:13:51.320 --> 0:13:53.480
<v Speaker 7>I would say last year was the first time that

0:13:53.600 --> 0:13:56.880
<v Speaker 7>flu is sterne negative. We sought about four billion in

0:13:57.000 --> 0:14:00.559
<v Speaker 7>outfluce for me SG ETFs. Though I will say that

0:14:00.920 --> 0:14:03.480
<v Speaker 7>I don't think that represents some kind of like mass

0:14:03.600 --> 0:14:06.080
<v Speaker 7>exodus from the strategy. And I'm happy to tell you why.

0:14:06.160 --> 0:14:09.360
<v Speaker 7>I just see a pause sort of less outflows but

0:14:09.440 --> 0:14:13.040
<v Speaker 7>also less inflows. If you look at the outflows, most

0:14:13.040 --> 0:14:15.800
<v Speaker 7>of it were from a handful of funds, right, So

0:14:15.880 --> 0:14:18.320
<v Speaker 7>in a world where you have five hundred plus funds,

0:14:18.360 --> 0:14:21.560
<v Speaker 7>if one loses money, and it's really one that's all

0:14:21.640 --> 0:14:25.320
<v Speaker 7>fifty percent of most outflows, it's a change in one

0:14:25.360 --> 0:14:28.480
<v Speaker 7>investor sentiment. It's not like one hundred funds picking up

0:14:28.520 --> 0:14:29.280
<v Speaker 7>and selling off.

0:14:29.920 --> 0:14:33.000
<v Speaker 3>Do you think though money flows more into other areas

0:14:33.040 --> 0:14:36.760
<v Speaker 3>of ESG ETFs, like in Europe whose policy and I

0:14:36.760 --> 0:14:39.480
<v Speaker 3>guess commitment. I mean, I say commitment because we don't

0:14:39.520 --> 0:14:42.440
<v Speaker 3>really know how all the energy transition stuff will shake

0:14:42.480 --> 0:14:44.760
<v Speaker 3>out in terms of allocating capital, but where it seems

0:14:44.760 --> 0:14:47.360
<v Speaker 3>like it's more consistent with messaging.

0:14:46.960 --> 0:14:51.000
<v Speaker 7>One hundred percent. So Europe is still ninety nine percent

0:14:51.040 --> 0:14:54.440
<v Speaker 7>of the ESGTF flows. It's about okay, yeah, it's about

0:14:54.520 --> 0:14:57.240
<v Speaker 7>not the forty billion, and I mentioned US as a

0:14:57.320 --> 0:15:01.080
<v Speaker 7>negative four billions, so very big divide. That being said,

0:15:01.160 --> 0:15:03.560
<v Speaker 7>in terms of strategy, we are seeing a bit of

0:15:03.600 --> 0:15:06.000
<v Speaker 7>a I want to call it an expansion, you know,

0:15:06.160 --> 0:15:09.520
<v Speaker 7>a move to climate, to move to more of the thematics,

0:15:09.600 --> 0:15:10.920
<v Speaker 7>that kind of move.

0:15:11.000 --> 0:15:12.960
<v Speaker 4>I guess could you explain that a little bit more?

0:15:13.040 --> 0:15:15.520
<v Speaker 7>Sure? So, when we think of ESG, I think of

0:15:15.560 --> 0:15:19.680
<v Speaker 7>a broad sort of environmental, social, and governance strategy, all three.

0:15:20.120 --> 0:15:24.000
<v Speaker 7>What I find people concentrating on more now is one

0:15:24.040 --> 0:15:26.640
<v Speaker 7>of the eds or the G right, more of the themes.

0:15:26.680 --> 0:15:29.120
<v Speaker 7>And I think a piece of that in the US

0:15:29.280 --> 0:15:32.440
<v Speaker 7>is this push against the ESG label sort of all

0:15:32.520 --> 0:15:35.480
<v Speaker 7>three combined, which is why it's you know, focusing on

0:15:35.520 --> 0:15:38.520
<v Speaker 7>something simpler like gender or climate things like that.

0:15:38.880 --> 0:15:42.880
<v Speaker 3>Why do you think that in the US ESG ETFs

0:15:42.960 --> 0:15:46.040
<v Speaker 3>haven't been maybe as popular as over in Europe. Is

0:15:46.080 --> 0:15:48.720
<v Speaker 3>it the quality of the ETFs or is it the

0:15:48.760 --> 0:15:50.280
<v Speaker 3>feelings behind ESG.

0:15:51.040 --> 0:15:53.480
<v Speaker 7>So I think it's two things. So first, they were

0:15:53.600 --> 0:15:56.600
<v Speaker 7>very popular about twenty twenty two, I want to say,

0:15:56.600 --> 0:15:59.880
<v Speaker 7>almost as popular as Europe, but overtook Europe a little

0:15:59.880 --> 0:16:03.160
<v Speaker 7>bit in terms of growth. That being said, I think

0:16:03.200 --> 0:16:06.640
<v Speaker 7>the political backlash has had quite a bit of implication on,

0:16:07.280 --> 0:16:11.360
<v Speaker 7>you know, its continued growth. Also, the one challenge in

0:16:11.400 --> 0:16:15.520
<v Speaker 7>the US is that growth has been very concentrated to

0:16:15.560 --> 0:16:18.320
<v Speaker 7>a few investors, which means that just a handful of

0:16:18.320 --> 0:16:20.840
<v Speaker 7>investors put large chunks of money. So what we need

0:16:20.880 --> 0:16:23.440
<v Speaker 7>today is we need a wide investor base, which I

0:16:23.480 --> 0:16:25.960
<v Speaker 7>think is going to slow because of this backlash.

0:16:26.160 --> 0:16:28.040
<v Speaker 4>I wonder if you could talk a little bit about

0:16:28.080 --> 0:16:30.800
<v Speaker 4>the sentiment there in the US, and can you, if possible,

0:16:31.000 --> 0:16:36.400
<v Speaker 4>look ahead past the November election here, depending on who wins,

0:16:36.440 --> 0:16:38.640
<v Speaker 4>who takes the oval office what do you think that

0:16:38.720 --> 0:16:39.720
<v Speaker 4>will do to sentiment.

0:16:40.600 --> 0:16:43.680
<v Speaker 7>I think it's definitely going to be driven by who

0:16:43.680 --> 0:16:46.120
<v Speaker 7>comes into office, but at the same time, also who

0:16:46.160 --> 0:16:49.160
<v Speaker 7>controls some of the states right. And that being said,

0:16:50.000 --> 0:16:52.360
<v Speaker 7>the way I see it is if you have like

0:16:52.400 --> 0:16:54.920
<v Speaker 7>the SEC regulation and you have a number of states

0:16:54.960 --> 0:16:57.600
<v Speaker 7>suing the SEC because of that, that's going to continue

0:16:57.680 --> 0:16:58.920
<v Speaker 7>to have a sort of a little bit of a

0:16:58.960 --> 0:16:59.880
<v Speaker 7>negative backlash.

0:17:00.520 --> 0:17:03.840
<v Speaker 3>Also, I mean, the backlash started before we even the.

0:17:03.800 --> 0:17:07.679
<v Speaker 7>Backlash right the back right. So I think the presidential

0:17:07.800 --> 0:17:10.480
<v Speaker 7>cycle will have some impact. But I think the whole

0:17:11.119 --> 0:17:13.399
<v Speaker 7>sort of backlash has to come down a little bit

0:17:13.520 --> 0:17:15.880
<v Speaker 7>or go in some direction for this to have well

0:17:16.160 --> 0:17:16.800
<v Speaker 7>some impact.

0:17:16.840 --> 0:17:19.000
<v Speaker 3>What do you make of the idea that maybe ESG

0:17:19.240 --> 0:17:22.120
<v Speaker 3>doesn't actually help companies profits like.

0:17:22.359 --> 0:17:26.200
<v Speaker 7>Yeah, I mean, I can't for certain say that ESG

0:17:26.359 --> 0:17:29.440
<v Speaker 7>has proven to outperform. I don't think anybody can say

0:17:29.440 --> 0:17:32.399
<v Speaker 7>that unless they've done some kind of fancy quant analysis.

0:17:32.440 --> 0:17:35.119
<v Speaker 7>We're starting to do that. I think we still have

0:17:35.240 --> 0:17:38.320
<v Speaker 7>too limited a time history of data to actually make

0:17:38.359 --> 0:17:40.840
<v Speaker 7>any kind of implication yet.

0:17:41.040 --> 0:17:44.480
<v Speaker 4>It's interesting, though, because I always understood the support for

0:17:44.560 --> 0:17:48.000
<v Speaker 4>DEI and the support for ESG came in part from

0:17:48.359 --> 0:17:51.439
<v Speaker 4>the new generation of consumers, for millennials who want to

0:17:51.520 --> 0:17:55.359
<v Speaker 4>vote with their pocketbook, and also the diversification that's coming

0:17:55.520 --> 0:17:58.640
<v Speaker 4>in the United States workforce. How does that ply into

0:17:58.680 --> 0:18:01.480
<v Speaker 4>your view that the ESG back clash my fade away

0:18:01.480 --> 0:18:01.720
<v Speaker 4>a bit.

0:18:02.200 --> 0:18:05.280
<v Speaker 7>So I guess I have two opinions there. So my

0:18:05.359 --> 0:18:08.000
<v Speaker 7>one opinion, as we've been saying for years that this

0:18:08.080 --> 0:18:10.960
<v Speaker 7>whole transfer of with is going to happen, we still

0:18:11.000 --> 0:18:14.720
<v Speaker 7>see the ESG investor base as highly institutional and it's

0:18:14.760 --> 0:18:18.200
<v Speaker 7>not very retail based. So in that sense, I haven't

0:18:18.240 --> 0:18:21.360
<v Speaker 7>seen this transfer of money come into effect. Will that

0:18:21.400 --> 0:18:24.120
<v Speaker 7>have at least not in the ESGDF food, Will that

0:18:24.280 --> 0:18:28.000
<v Speaker 7>happen OVID generations and you know over to time period.

0:18:28.680 --> 0:18:31.560
<v Speaker 7>I do think so, but we haven't seen it yet,

0:18:31.600 --> 0:18:33.480
<v Speaker 7>and we've been talking about it for a long time.

0:18:33.840 --> 0:18:37.920
<v Speaker 4>Our thanks to Streen contractor Bloomberg Intelligence senior ESG strategists.

0:18:37.920 --> 0:18:39.399
<v Speaker 3>All right, let's go to tech. Now, look at the

0:18:39.480 --> 0:18:42.600
<v Speaker 3>computer technology company Oracle. At the beginning of the week,

0:18:42.640 --> 0:18:45.360
<v Speaker 3>Oracle reported total sales in the third quarter rose over

0:18:45.400 --> 0:18:48.439
<v Speaker 3>seven percent to thirteen point three billion dollars. That was

0:18:48.560 --> 0:18:50.639
<v Speaker 3>roughly in line with analyst expectations.

0:18:50.720 --> 0:18:53.440
<v Speaker 4>And you know alex Oracle also said that cloud revenue

0:18:53.480 --> 0:18:56.800
<v Speaker 4>jumped twenty five percent and that excited investors. On Tuesday,

0:18:57.119 --> 0:19:00.000
<v Speaker 4>Oracle shares posted their biggest gain in more than two years.

0:19:00.080 --> 0:19:02.879
<v Speaker 3>So we were joined by Brody Ford, Bloomberg Technology reporter,

0:19:02.920 --> 0:19:04.800
<v Speaker 3>and we asked him why the street was so excited

0:19:04.800 --> 0:19:05.960
<v Speaker 3>about Oracles results.

0:19:06.400 --> 0:19:09.040
<v Speaker 11>There's been a big debate over the last year. Can

0:19:09.080 --> 0:19:12.520
<v Speaker 11>Oracle transform from this kind of old school on premise,

0:19:12.720 --> 0:19:15.160
<v Speaker 11>come to your office and install it on your servers

0:19:15.240 --> 0:19:18.760
<v Speaker 11>kind of company to really offering cloud infrastructure the way

0:19:18.760 --> 0:19:22.560
<v Speaker 11>we think about Amazon or Microsoft doing. The last couple

0:19:22.560 --> 0:19:25.199
<v Speaker 11>of quarters they were disappointing and people were starting to

0:19:25.280 --> 0:19:27.680
<v Speaker 11>wonder is this a flash in the pan? Is their

0:19:27.720 --> 0:19:31.000
<v Speaker 11>growth sustained? They said, hey, no, we actually got billions

0:19:31.000 --> 0:19:33.320
<v Speaker 11>more on orders than you expected. They had really strong

0:19:33.359 --> 0:19:37.000
<v Speaker 11>bookings growth. That's kind of reignited that enthusiasm that hey,

0:19:37.520 --> 0:19:41.040
<v Speaker 11>maybe Oracle really can be that, you know, fourth hyper

0:19:41.040 --> 0:19:43.480
<v Speaker 11>scaler after Google, Amazon and Microsoft.

0:19:43.880 --> 0:19:46.360
<v Speaker 4>But I guess you know, they've been having their ups

0:19:46.400 --> 0:19:49.360
<v Speaker 4>and downs. Their shares got really badly hit relatively speaking,

0:19:49.440 --> 0:19:52.080
<v Speaker 4>and so do you feel like the recovery today is

0:19:52.119 --> 0:19:54.400
<v Speaker 4>for real or what's going to be the next waystation

0:19:54.480 --> 0:19:55.240
<v Speaker 4>that investors have.

0:19:55.240 --> 0:19:55.680
<v Speaker 5>To look for?

0:19:55.880 --> 0:19:59.920
<v Speaker 11>So what's convinced them is that when you're offering cloud services,

0:20:00.080 --> 0:20:02.600
<v Speaker 11>people forget the cloud isn't in the sky, it's in

0:20:02.760 --> 0:20:05.959
<v Speaker 11>data centers in Virginia, and they need to build them

0:20:07.440 --> 0:20:10.879
<v Speaker 11>of the day. And so Oracle said that they're going

0:20:10.920 --> 0:20:13.240
<v Speaker 11>to spend ten billion dollars next year is building up

0:20:13.280 --> 0:20:15.080
<v Speaker 11>these data centers. And keep in mind a couple of

0:20:15.119 --> 0:20:18.280
<v Speaker 11>years back, they were spending two billion a year on capex.

0:20:18.320 --> 0:20:21.240
<v Speaker 11>Now it's ten. That's a real difference, and that's convincing

0:20:21.280 --> 0:20:25.440
<v Speaker 11>investors that, hey, they are actually building out their physical infrastructure.

0:20:25.840 --> 0:20:29.800
<v Speaker 11>In the AI era, everyone needs more cloud, everyone needs

0:20:29.840 --> 0:20:33.080
<v Speaker 11>more of this computing power. And Oracle does seem prime

0:20:33.160 --> 0:20:35.440
<v Speaker 11>to actually capture a lot of that demand. So people

0:20:35.480 --> 0:20:37.720
<v Speaker 11>will be watching whether these data centers do go up

0:20:37.760 --> 0:20:39.439
<v Speaker 11>in Virginia and other states.

0:20:39.680 --> 0:20:41.320
<v Speaker 3>I thought we didn't like it when companies spend a

0:20:41.320 --> 0:20:42.280
<v Speaker 3>lot of money on stuff.

0:20:42.800 --> 0:20:44.399
<v Speaker 11>We like it if it's going to come back and

0:20:45.040 --> 0:20:48.119
<v Speaker 11>give us something else, Right, I mean, what was that time?

0:20:48.160 --> 0:20:49.560
<v Speaker 3>So they're going to mass all this money. When do

0:20:49.640 --> 0:20:51.080
<v Speaker 3>they make money off of the money they just spent.

0:20:51.680 --> 0:20:54.760
<v Speaker 11>Yeah, it seems like it'd be pretty quick because if

0:20:54.800 --> 0:20:57.440
<v Speaker 11>you believe the executive's on the call, you know, executives

0:20:57.480 --> 0:21:00.960
<v Speaker 11>grand stand sometimes what they say that demand outpaces supply.

0:21:01.040 --> 0:21:02.840
<v Speaker 11>They've been saying this for a while that with the

0:21:02.880 --> 0:21:06.320
<v Speaker 11>AI era, everyone's rushing to get more computing power. They

0:21:06.359 --> 0:21:09.280
<v Speaker 11>can't provide it. So the second these data centers go live,

0:21:09.760 --> 0:21:11.760
<v Speaker 11>in theory, they should be able to convert that into

0:21:11.800 --> 0:21:13.040
<v Speaker 11>revenue very quickly.

0:21:13.720 --> 0:21:16.320
<v Speaker 4>Are they good at doing that quickly relative to other companies?

0:21:17.280 --> 0:21:24.680
<v Speaker 11>They are known for ruthless operational efficiency, so they should

0:21:24.760 --> 0:21:27.119
<v Speaker 11>they should be good at this, right. I mean, of

0:21:27.200 --> 0:21:30.439
<v Speaker 11>course the market could change, right Everything looks rosy with

0:21:30.520 --> 0:21:32.680
<v Speaker 11>AI right now to be able to train their own models.

0:21:33.359 --> 0:21:36.359
<v Speaker 11>Could we see a sea change? Hard to say, but

0:21:36.440 --> 0:21:39.680
<v Speaker 11>yesterday they got eighty billion in bookings. Once you book

0:21:39.720 --> 0:21:42.560
<v Speaker 11>you can't get out of it, so it's for a while.

0:21:42.920 --> 0:21:44.600
<v Speaker 3>So I also find it's interesting if we're going to

0:21:44.640 --> 0:21:48.719
<v Speaker 3>see cloud computing and AI be a cyclical industry or not.

0:21:48.800 --> 0:21:50.159
<v Speaker 5>Like, clearly it's a structural shift.

0:21:50.200 --> 0:21:52.320
<v Speaker 3>But will we see a ton of data centers come

0:21:52.359 --> 0:21:54.800
<v Speaker 3>on at the same time, like from different companies, and

0:21:54.800 --> 0:21:57.040
<v Speaker 3>then their core prices go down so the revenue isn't

0:21:57.040 --> 0:21:59.560
<v Speaker 3>as hot, Like will it be cyclical like chips are.

0:21:59.440 --> 0:22:00.359
<v Speaker 5>For example, or not?

0:22:00.600 --> 0:22:03.960
<v Speaker 11>It's a good question. There's one rule of software compared

0:22:04.000 --> 0:22:06.680
<v Speaker 11>to hardware that software is a lot stickier, right, I mean,

0:22:06.760 --> 0:22:09.119
<v Speaker 11>you buy chips, you have them, you don't need to

0:22:09.160 --> 0:22:13.840
<v Speaker 11>buy more. Once you start giving money to software providers,

0:22:13.880 --> 0:22:16.800
<v Speaker 11>you plan on x amount of come. You know, computational

0:22:16.840 --> 0:22:20.280
<v Speaker 11>power that usually doesn't go down. I mean, is there

0:22:20.320 --> 0:22:23.199
<v Speaker 11>a point where the growth will level off? Probably? I

0:22:23.280 --> 0:22:26.200
<v Speaker 11>struggle to see it, being like hardware, where hey, everybody

0:22:26.200 --> 0:22:29.800
<v Speaker 11>bought computers this year. Now the computer makers are sol

0:22:29.880 --> 0:22:31.360
<v Speaker 11>because nobody wants to buy anymore.

0:22:31.800 --> 0:22:33.840
<v Speaker 4>And then it's all they've got you on the subscriptions,

0:22:33.880 --> 0:22:36.800
<v Speaker 4>basically like what we all have at home. But now,

0:22:37.080 --> 0:22:39.199
<v Speaker 4>can you talk a little bit more about how Oracle

0:22:39.280 --> 0:22:40.320
<v Speaker 4>is benefiting from AI?

0:22:40.720 --> 0:22:41.480
<v Speaker 10>Yeah?

0:22:41.520 --> 0:22:43.159
<v Speaker 11>Well, and that's the big question for a lot of

0:22:43.160 --> 0:22:46.240
<v Speaker 11>software makers. Every software maker when they have positive results,

0:22:46.280 --> 0:22:49.840
<v Speaker 11>they say in their commentary, this is due to aid anything.

0:22:52.000 --> 0:22:55.520
<v Speaker 11>They call their new cloud version the Gen two AI.

0:22:56.359 --> 0:22:57.600
<v Speaker 11>Is everybody using it for AI?

0:22:57.720 --> 0:22:57.760
<v Speaker 7>No?

0:22:59.000 --> 0:23:01.800
<v Speaker 11>But what we though is that AI requires a ton

0:23:01.840 --> 0:23:05.520
<v Speaker 11>of computing power, and Oracle has marketed there specifically for

0:23:05.800 --> 0:23:08.520
<v Speaker 11>being good at training AI models, and so there's reason

0:23:08.560 --> 0:23:11.800
<v Speaker 11>to believe that folks are upping their demand due to

0:23:11.880 --> 0:23:15.639
<v Speaker 11>AI needs. But is this more than a couple of

0:23:15.720 --> 0:23:19.520
<v Speaker 11>percentage point difference. Most analysts don't think so at this point.

0:23:19.800 --> 0:23:22.119
<v Speaker 5>So it's still the cloud. It's still it's the cloud,

0:23:22.200 --> 0:23:23.639
<v Speaker 5>the data centers building all that out.

0:23:23.800 --> 0:23:26.719
<v Speaker 11>Yeah, you know, I think about you know, any companies running

0:23:26.720 --> 0:23:29.880
<v Speaker 11>all these you know, records, the terminal or anything like that.

0:23:30.040 --> 0:23:31.720
<v Speaker 11>Just it's more that kind of tradition stuff at this

0:23:31.720 --> 0:23:34.320
<v Speaker 11>point than it is training models, though that's probably part

0:23:34.359 --> 0:23:34.560
<v Speaker 11>of it.

0:23:35.119 --> 0:23:36.520
<v Speaker 3>I did want to point out too that maybe you

0:23:36.520 --> 0:23:38.600
<v Speaker 3>can comment on this one, that Bank America, the reason

0:23:38.600 --> 0:23:41.560
<v Speaker 3>why they upgrade their earnings, in part was because of

0:23:41.680 --> 0:23:45.560
<v Speaker 3>an investment cycle from big tech Microsoft, Amazon, Google, Meta

0:23:45.640 --> 0:23:48.000
<v Speaker 3>spending one hundred and eighty billion dollars in cap x.

0:23:48.040 --> 0:23:50.480
<v Speaker 3>They're in that reinvestment cycle, and I'm assuming you guys

0:23:50.520 --> 0:23:52.680
<v Speaker 3>like Oracle are going to be beneficiaries.

0:23:52.720 --> 0:23:53.840
<v Speaker 5>Is that a link I can make?

0:23:55.040 --> 0:23:58.760
<v Speaker 11>I think it is probably more that they're all riding

0:23:58.800 --> 0:24:03.560
<v Speaker 11>similar trends, you know, Amazon, Microsoft, They've spoken also in

0:24:03.640 --> 0:24:06.760
<v Speaker 11>recent quarters that their customers are really focus on cutting costs.

0:24:06.800 --> 0:24:10.240
<v Speaker 11>That for the most part, everybody had transported a bunch

0:24:10.240 --> 0:24:12.000
<v Speaker 11>of things to the cloud and then they wanted to

0:24:12.040 --> 0:24:15.159
<v Speaker 11>cut costs, and that behavior was starting to change, you know,

0:24:15.280 --> 0:24:18.399
<v Speaker 11>the twenty twenty four budgets got approved, they started feeling

0:24:18.440 --> 0:24:20.879
<v Speaker 11>good again, and the investment was going up. And so

0:24:20.920 --> 0:24:23.080
<v Speaker 11>I think it's one that they're all riding a similar wave.

0:24:23.240 --> 0:24:23.680
<v Speaker 5>I see.

0:24:23.920 --> 0:24:24.080
<v Speaker 10>You know.

0:24:24.160 --> 0:24:27.440
<v Speaker 4>Let me ask you something internally about Oracle. Who's running

0:24:27.480 --> 0:24:29.200
<v Speaker 4>the company. Is it Larry Ellison?

0:24:29.560 --> 0:24:31.639
<v Speaker 11>It's crazy, right because you think about somebody like a

0:24:31.680 --> 0:24:34.440
<v Speaker 11>Bill Gates that's the same generation. He hasn't been there

0:24:34.480 --> 0:24:37.280
<v Speaker 11>for a decade or more. But yeah, Larry's still running that.

0:24:37.320 --> 0:24:39.960
<v Speaker 11>I mean, he's his title is not CEO, but he's

0:24:40.040 --> 0:24:43.520
<v Speaker 11>chairman and his CTO. He's, you know, on the earnings call,

0:24:43.640 --> 0:24:46.600
<v Speaker 11>talking back and forth with analysts. For someone of his

0:24:46.680 --> 0:24:48.600
<v Speaker 11>age and his generation, it's rare to see him still

0:24:48.680 --> 0:24:52.080
<v Speaker 11>running the company. But he continues to and there's no

0:24:52.119 --> 0:24:55.480
<v Speaker 11>reason to believe that will change anytime soon. So it's interesting.

0:24:55.760 --> 0:24:58.680
<v Speaker 3>All right, Thanks Berdy Berdi Ford, Bloomberg Technology reporter.

0:24:58.640 --> 0:25:00.600
<v Speaker 4>Coming up on the program, A look at It, Predicting

0:25:00.680 --> 0:25:03.399
<v Speaker 4>nature's catastrophes could become more profitable.

0:25:03.480 --> 0:25:06.439
<v Speaker 3>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:06.480 --> 0:25:08.879
<v Speaker 3>depth research and data on two thousand companies in one

0:25:08.960 --> 0:25:12.040
<v Speaker 3>hundred and thirty industries. You can access Bloomberg Intelligence through

0:25:12.080 --> 0:25:13.360
<v Speaker 3>Bigo on the terminal.

0:25:13.400 --> 0:25:15.119
<v Speaker 5>I'm Alex Steele and I'm Jen Ryan.

0:25:15.320 --> 0:25:16.359
<v Speaker 6>This is Bloomberg.

0:25:21.600 --> 0:25:25.480
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:25:25.560 --> 0:25:29.119
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:25:29.119 --> 0:25:31.879
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0:25:32.000 --> 0:25:35.080
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0:25:35.480 --> 0:25:38.240
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0:25:39.440 --> 0:25:42.040
<v Speaker 4>Hey everyone, I'm Alex Steele and I'm Jen Ryan, filling

0:25:42.040 --> 0:25:42.960
<v Speaker 4>in for Paul Sweeney.

0:25:43.040 --> 0:25:44.439
<v Speaker 5>The move next to politics.

0:25:44.560 --> 0:25:48.120
<v Speaker 3>Earlier this week, Donald Trump clinched the Republican presidential nomination

0:25:48.520 --> 0:25:50.919
<v Speaker 3>and this sets up an election rematch in November with

0:25:51.000 --> 0:25:54.120
<v Speaker 3>current President Joe Biden, who secured the Democratic nomination.

0:25:54.359 --> 0:25:57.080
<v Speaker 4>For more, we were joined by Nathan Dean, senior policy

0:25:57.080 --> 0:25:59.960
<v Speaker 4>analyst at Bloomberg Intelligence. Nathan gave us his take on

0:26:00.000 --> 0:26:02.200
<v Speaker 4>and how investors should start to prepare for the election

0:26:02.359 --> 0:26:04.720
<v Speaker 4>cycle and what sectors may have more at stake.

0:26:05.160 --> 0:26:07.240
<v Speaker 2>What this race is essentially coming down to three things.

0:26:07.240 --> 0:26:10.119
<v Speaker 2>It's President buy and versus President Trump versus not voting.

0:26:10.359 --> 0:26:12.800
<v Speaker 2>But from an investor's standpoint, the way we're advising our

0:26:12.800 --> 0:26:16.000
<v Speaker 2>clients right now is start with the geopolitical the macro views,

0:26:16.080 --> 0:26:18.520
<v Speaker 2>because that's where the power of the presidency is a

0:26:18.560 --> 0:26:21.119
<v Speaker 2>little bit more powerful. And so you see statements like

0:26:21.119 --> 0:26:24.639
<v Speaker 2>President Trump saying fifty percent tariffs on China. Well, we've

0:26:24.680 --> 0:26:26.760
<v Speaker 2>been doing a lot of work with our FX strategists

0:26:26.840 --> 0:26:28.320
<v Speaker 2>on what does that do for the euro dollar?

0:26:28.400 --> 0:26:29.520
<v Speaker 5>What does that do for the dollar?

0:26:29.800 --> 0:26:32.159
<v Speaker 2>And Bloomberg Economics has put out some great pieces as

0:26:32.200 --> 0:26:35.159
<v Speaker 2>well on what that actually could be on the economy.

0:26:35.480 --> 0:26:37.240
<v Speaker 2>And so the second thing to keep in mind is

0:26:37.280 --> 0:26:40.800
<v Speaker 2>executive actions. What would a president do on day one?

0:26:40.880 --> 0:26:42.919
<v Speaker 2>You know, for President Biden, I think it's just par

0:26:43.040 --> 0:26:45.119
<v Speaker 2>for the course, go back to his State of the Union,

0:26:45.359 --> 0:26:46.960
<v Speaker 2>go back to the budget, and you'll get a little

0:26:47.000 --> 0:26:49.240
<v Speaker 2>bit idea of his priorities there. But when it comes

0:26:49.280 --> 0:26:51.560
<v Speaker 2>to President Trump on day one, you'll see a lot

0:26:51.560 --> 0:26:55.440
<v Speaker 2>of executive actions which are directed agencies within the executive

0:26:55.480 --> 0:26:59.280
<v Speaker 2>branch to go out and start regulatory changes. And that's

0:26:59.320 --> 0:27:02.520
<v Speaker 2>the third aspect for it is regulatory change. Now, regulatory

0:27:02.600 --> 0:27:04.919
<v Speaker 2>change takes a lot of time, and so from an

0:27:04.920 --> 0:27:07.919
<v Speaker 2>investor standpoint, it's something to keep in mind of. But

0:27:08.000 --> 0:27:11.639
<v Speaker 2>those geopolitical factors of trade and tariffs and national security

0:27:11.800 --> 0:27:13.879
<v Speaker 2>should be at the forefront of any investor trying to

0:27:13.880 --> 0:27:15.760
<v Speaker 2>figure out how does the election apply to them in

0:27:15.800 --> 0:27:16.600
<v Speaker 2>their portfolio.

0:27:16.760 --> 0:27:17.520
<v Speaker 5>So let's dig.

0:27:17.400 --> 0:27:19.440
<v Speaker 4>Into this a little bit. Do you have any in mind,

0:27:19.440 --> 0:27:22.359
<v Speaker 4>any sectors in particular that could really have more at

0:27:22.440 --> 0:27:24.720
<v Speaker 4>stake in the presidential election outcome?

0:27:25.359 --> 0:27:28.520
<v Speaker 2>Absolutely, it's energy, energy and energy. And so the reason

0:27:28.560 --> 0:27:30.359
<v Speaker 2>why I say that is there's this thing called the

0:27:30.359 --> 0:27:33.160
<v Speaker 2>Inflation Reduction Act. President Biden signed this to the law

0:27:33.200 --> 0:27:36.240
<v Speaker 2>back in twenty twenty two. A lot of investors, especially

0:27:36.240 --> 0:27:39.680
<v Speaker 2>non US investors, are taking the approach that because it's law,

0:27:39.880 --> 0:27:41.800
<v Speaker 2>it's going to be law for the get go. But

0:27:42.000 --> 0:27:44.399
<v Speaker 2>in the IRA, there are a lot of tax cares,

0:27:44.440 --> 0:27:47.000
<v Speaker 2>if you will, incentives and grants and so forth to

0:27:47.080 --> 0:27:51.359
<v Speaker 2>spur clean energy and clean energy initiatives. It's about seventy

0:27:51.359 --> 0:27:54.600
<v Speaker 2>five percent of the investment of the IRA is geared

0:27:54.640 --> 0:27:58.040
<v Speaker 2>towards these tax incentives. Now, if President Trump wins on

0:27:58.160 --> 0:28:00.480
<v Speaker 2>day one, he can put forth one of these executive

0:28:00.560 --> 0:28:03.480
<v Speaker 2>orders directing the Department of Treasury or to the Irs

0:28:03.520 --> 0:28:07.760
<v Speaker 2>to essentially just stop, stop work, stop these incentives and

0:28:07.800 --> 0:28:09.720
<v Speaker 2>so forth. There's some legalities that they have to work

0:28:09.760 --> 0:28:12.520
<v Speaker 2>through here, but effectively they will be able to use

0:28:12.520 --> 0:28:15.480
<v Speaker 2>a scalpel instead of a sledgehammer to start cutting away

0:28:15.480 --> 0:28:17.480
<v Speaker 2>a lot of those clean energy inities.

0:28:17.840 --> 0:28:19.600
<v Speaker 5>I mean, you're talking my language here.

0:28:19.720 --> 0:28:21.720
<v Speaker 3>I mean a lot of oil companies that I talked

0:28:21.760 --> 0:28:25.520
<v Speaker 3>to like the IRA because they're getting subsidies, particularly if

0:28:25.520 --> 0:28:28.440
<v Speaker 3>they're dealing in carbon capture. Some yl companies are also

0:28:28.520 --> 0:28:31.200
<v Speaker 3>dabbling a little bit in hydrogen. I mean this bill

0:28:31.200 --> 0:28:33.160
<v Speaker 3>helped they like it. It helps them.

0:28:33.560 --> 0:28:36.040
<v Speaker 2>Yeah, absolutely, But that's one of the disconnects you often

0:28:36.040 --> 0:28:40.040
<v Speaker 2>hear about New York versus Washington, because in the Washington sense,

0:28:40.360 --> 0:28:42.400
<v Speaker 2>there was a bill earlier this year in which the

0:28:42.440 --> 0:28:46.040
<v Speaker 2>Republicans put forward essentially said we'll get the entire thing,

0:28:46.480 --> 0:28:48.680
<v Speaker 2>and so the messaging is different. And you know, the

0:28:48.680 --> 0:28:50.800
<v Speaker 2>reason why we think and our analysis is out on

0:28:50.840 --> 0:28:52.960
<v Speaker 2>the terminal, we don't think that there's going to be

0:28:53.040 --> 0:28:56.479
<v Speaker 2>that much change to the IRA other than specifically some

0:28:56.560 --> 0:28:59.520
<v Speaker 2>of these EV related tax credits, is because a lot

0:28:59.520 --> 0:29:01.440
<v Speaker 2>of the money and a lot of the infrastructure that's

0:29:01.480 --> 0:29:03.959
<v Speaker 2>being built in the United States are going to red states,

0:29:04.200 --> 0:29:07.000
<v Speaker 2>and so you often see statements from Republicans saying I

0:29:07.040 --> 0:29:10.120
<v Speaker 2>supported this initiative and even President Biden in a State

0:29:10.120 --> 0:29:12.120
<v Speaker 2>of the Union address last week said, look, if you

0:29:12.120 --> 0:29:13.640
<v Speaker 2>don't want the money or you want to take credit

0:29:13.640 --> 0:29:15.520
<v Speaker 2>for it, I'll certainly take the money and take credit

0:29:15.560 --> 0:29:18.000
<v Speaker 2>for it. So I think there's this disconnect between what's

0:29:18.000 --> 0:29:21.000
<v Speaker 2>happening in Washington and the markets. I expect that the

0:29:21.040 --> 0:29:24.640
<v Speaker 2>coalesce if President Trump wins, as the markets and especially

0:29:24.680 --> 0:29:27.160
<v Speaker 2>Wall Street investors have become to try and get in

0:29:27.200 --> 0:29:29.600
<v Speaker 2>to his inner ear and so forth, so to speak.

0:29:29.640 --> 0:29:33.400
<v Speaker 2>But certainly headline risk and you will see headlines associated

0:29:33.440 --> 0:29:35.240
<v Speaker 2>with that going up into the election.

0:29:35.680 --> 0:29:39.160
<v Speaker 4>Our thanks to Nathan Dean, senior policy analyst at Bloomberg Intelligence.

0:29:39.520 --> 0:29:42.280
<v Speaker 3>On this program, we often look at our favorite Bloomberg

0:29:42.320 --> 0:29:44.480
<v Speaker 3>Big Take stories of the week and you can read

0:29:44.520 --> 0:29:47.360
<v Speaker 3>them on the Bloomberg at Bloomberg dot com slash Big Take,

0:29:47.400 --> 0:29:49.400
<v Speaker 3>and this week we looked at the story of how

0:29:49.440 --> 0:29:53.560
<v Speaker 3>a physics whiz made a fortune betting on nature's catastrophes.

0:29:54.040 --> 0:29:57.440
<v Speaker 4>It delved into why predicting nature's catastrophes is in fact

0:29:57.480 --> 0:30:00.480
<v Speaker 4>a big business. We were joined by the stories author

0:30:00.680 --> 0:30:04.320
<v Speaker 4>Gatam Nike. He's a Bloomberg senior editor covering ESG investing.

0:30:04.760 --> 0:30:07.160
<v Speaker 4>We first asked Gaton for more background on what this

0:30:07.200 --> 0:30:07.880
<v Speaker 4>story means.

0:30:08.440 --> 0:30:12.800
<v Speaker 8>It has to do with insurance. So traditional insurance and reinsurance,

0:30:12.920 --> 0:30:16.240
<v Speaker 8>you know, do a fairly good job of covering modest

0:30:16.400 --> 0:30:20.520
<v Speaker 8>and medium sized catastrophes, you know, storms and hurricanes and earthquakes.

0:30:20.920 --> 0:30:23.680
<v Speaker 8>But every thirty fifty one hundred years you get a

0:30:23.880 --> 0:30:28.520
<v Speaker 8>Hurricane Katrina like event which is completely devastating in its scope.

0:30:28.640 --> 0:30:31.960
<v Speaker 8>And that's a kind of event that traditional insurance company

0:30:32.000 --> 0:30:35.840
<v Speaker 8>can't really handle. So they've turned to a new type

0:30:35.840 --> 0:30:37.440
<v Speaker 8>of asset class. Well it's not new, it's have been

0:30:37.480 --> 0:30:39.680
<v Speaker 8>around for twenty five years, but it's really coming into

0:30:39.720 --> 0:30:43.719
<v Speaker 8>its own more and more now, and it's called catastrophe bonds.

0:30:44.040 --> 0:30:45.680
<v Speaker 8>And the way it works is that instead of the

0:30:45.720 --> 0:30:49.720
<v Speaker 8>insurance company taking the risk should disaster happen, that risk

0:30:49.760 --> 0:30:53.120
<v Speaker 8>has passed on to Wall Street investors. So if the

0:30:53.200 --> 0:30:56.680
<v Speaker 8>disaster does happen, the Wall Street investors can lose some

0:30:56.880 --> 0:30:58.880
<v Speaker 8>or all of their money. So it's a pretty risky move.

0:30:59.240 --> 0:31:01.680
<v Speaker 8>But if it doesn't happen, and these bonds are only

0:31:02.120 --> 0:31:04.680
<v Speaker 8>they run for only three to five years, not for

0:31:04.760 --> 0:31:08.560
<v Speaker 8>much longer. If the disaster doesn't occur, then the investigates

0:31:08.600 --> 0:31:12.280
<v Speaker 8>to keep its original capital plus gets a hefty return

0:31:12.280 --> 0:31:13.960
<v Speaker 8>on top of that for taking that risk.

0:31:14.720 --> 0:31:17.440
<v Speaker 4>So your story, it's fascinating and there's stuffing to dig

0:31:17.480 --> 0:31:19.920
<v Speaker 4>into there. But you start off taking a look at

0:31:19.920 --> 0:31:22.320
<v Speaker 4>Formatt Capital Management, and this is the owner of the

0:31:22.320 --> 0:31:25.920
<v Speaker 4>world's biggest collection of catastrophe bonds. Can you talk a

0:31:25.960 --> 0:31:28.520
<v Speaker 4>little bit about their strategy and in particular, you know,

0:31:28.600 --> 0:31:30.440
<v Speaker 4>I just want to circle back to a comment that

0:31:30.480 --> 0:31:33.240
<v Speaker 4>you may just now that in this current environment, this

0:31:33.360 --> 0:31:35.040
<v Speaker 4>market is very, very interesting, and I wonder if you

0:31:35.080 --> 0:31:37.600
<v Speaker 4>could talk about how a warming planet is figuring into

0:31:37.600 --> 0:31:38.560
<v Speaker 4>for Met's strategy.

0:31:39.240 --> 0:31:42.440
<v Speaker 8>Sure, so, you know there are always hurricanes and earthquakes,

0:31:42.480 --> 0:31:45.040
<v Speaker 8>but the problem is that more and more people are

0:31:45.080 --> 0:31:48.200
<v Speaker 8>moving to Florida and California and other parts of coastal

0:31:48.640 --> 0:31:50.600
<v Speaker 8>regions in the world where you know, they want to

0:31:50.600 --> 0:31:53.160
<v Speaker 8>have a nice view and a nice seaside experience. But

0:31:53.760 --> 0:31:56.560
<v Speaker 8>those expensive homes are building. When they get hit by

0:31:56.560 --> 0:31:59.120
<v Speaker 8>a storm, they you know, tend to lose a lot

0:31:59.160 --> 0:32:02.080
<v Speaker 8>of money. So that is the real problem, is that

0:32:02.160 --> 0:32:04.840
<v Speaker 8>human beings are moving to these risky areas, and the

0:32:04.880 --> 0:32:08.480
<v Speaker 8>insurance industries either in some places like California, in Florida

0:32:08.560 --> 0:32:10.840
<v Speaker 8>walking away from it. They're not going to ensure people

0:32:11.200 --> 0:32:13.880
<v Speaker 8>the risks are too high, or they're turning to kind

0:32:13.880 --> 0:32:16.800
<v Speaker 8>of instruments like a catastrophe bond to do so. So

0:32:16.920 --> 0:32:20.800
<v Speaker 8>firmat Capital is the world's biggest cat bond investor. Their

0:32:20.880 --> 0:32:25.040
<v Speaker 8>assets are about ten billion dollars and they have a

0:32:25.160 --> 0:32:28.600
<v Speaker 8>very interesting strategy. So, like other cat bond investors, they

0:32:28.600 --> 0:32:31.880
<v Speaker 8>do buy these risk models which help you to predict

0:32:31.920 --> 0:32:36.040
<v Speaker 8>the likelihood of a hurricane occurring in a particular year

0:32:36.240 --> 0:32:38.680
<v Speaker 8>or over two three years. But what they do is

0:32:38.680 --> 0:32:42.240
<v Speaker 8>they add a magic source. Because the co founder of

0:32:42.400 --> 0:32:47.400
<v Speaker 8>this firm, John So, has a physics background, has a

0:32:47.400 --> 0:32:51.200
<v Speaker 8>biophysics degree from Harvard. He's been able to layer an

0:32:51.240 --> 0:32:56.000
<v Speaker 8>extra in a sophistication in trying to predict the likelihood

0:32:56.040 --> 0:32:58.960
<v Speaker 8>of risk and return for each of these potential catastrophes.

0:32:59.000 --> 0:33:02.360
<v Speaker 8>So his buying approach is quite clever and sophisticated and

0:33:02.400 --> 0:33:04.960
<v Speaker 8>he hopes to get an edge from that. So that's

0:33:05.040 --> 0:33:08.000
<v Speaker 8>where Fermat has really you know, they've been involved in

0:33:08.000 --> 0:33:12.760
<v Speaker 8>this market almost inception, and they use this extra edge

0:33:13.000 --> 0:33:15.760
<v Speaker 8>to try and beat the market and other catbon investors.

0:33:15.960 --> 0:33:17.960
<v Speaker 5>And has it worked. What are their returns like.

0:33:18.280 --> 0:33:20.719
<v Speaker 8>Yeah, so they returns last year, which is a very

0:33:20.720 --> 0:33:23.680
<v Speaker 8>good year for all investors, about twenty percent, and I

0:33:23.680 --> 0:33:25.600
<v Speaker 8>think a lot of other investors also came in at

0:33:25.640 --> 0:33:28.400
<v Speaker 8>that level. I should say that the interesting thing about

0:33:28.440 --> 0:33:31.360
<v Speaker 8>cat bonds, it's a really good diversifier. So you know,

0:33:31.440 --> 0:33:34.960
<v Speaker 8>unlike your regular you know, stocks of bonds that fluctuate

0:33:35.040 --> 0:33:38.960
<v Speaker 8>with market movements or the Federal Reserve decisions, a catastrophe

0:33:39.000 --> 0:33:43.480
<v Speaker 8>bonds outcome is down to mother nature. Either she's kind

0:33:43.600 --> 0:33:46.800
<v Speaker 8>or she's unkind. And if you diversify a portfolio with

0:33:46.920 --> 0:33:50.080
<v Speaker 8>cat bonds and you know, you get the benefits of that,

0:33:50.280 --> 0:33:53.600
<v Speaker 8>it's a really good diversitifier that has no correlation with

0:33:53.640 --> 0:33:55.440
<v Speaker 8>the rest of the financial markets.

0:33:55.800 --> 0:33:58.520
<v Speaker 4>Can you talk a little bit about how the current

0:33:58.600 --> 0:34:02.400
<v Speaker 4>environment and the insurance market it is affecting for met's returns,

0:34:02.440 --> 0:34:03.960
<v Speaker 4>because you know, you make the point in the story

0:34:04.040 --> 0:34:06.360
<v Speaker 4>that a lot of insurers are charging more to protect

0:34:06.360 --> 0:34:07.720
<v Speaker 4>customers from devastating weather.

0:34:07.920 --> 0:34:10.640
<v Speaker 8>Well, you know, last year was a record year for

0:34:10.680 --> 0:34:15.320
<v Speaker 8>the issuance of catastrophe bonds, and this year is looking

0:34:15.480 --> 0:34:18.399
<v Speaker 8>likely it's going to be again a pretty solid year,

0:34:18.880 --> 0:34:24.200
<v Speaker 8>and that reflects the insurance industry's desperate need to pass

0:34:24.239 --> 0:34:27.960
<v Speaker 8>on some of this risk beyond the traditional reinsurance industry

0:34:28.320 --> 0:34:31.239
<v Speaker 8>to Wall Street. Wall Street is a huge, you know,

0:34:32.400 --> 0:34:36.200
<v Speaker 8>deep pocket with trillions of dollars at its disposal, a

0:34:36.239 --> 0:34:41.360
<v Speaker 8>lot of you know, risk taking investors, unlike traditional insurance,

0:34:41.360 --> 0:34:44.799
<v Speaker 8>which is a lot more conservative. So as you can

0:34:44.840 --> 0:34:48.319
<v Speaker 8>see from just the number of new issuances that are

0:34:48.320 --> 0:34:52.080
<v Speaker 8>lined up for twenty twenty four that insurers are increasingly

0:34:52.160 --> 0:34:55.279
<v Speaker 8>turning to this market. So one of the issues a

0:34:55.320 --> 0:34:59.080
<v Speaker 8>problem is that secondary perils, as the industry likes to

0:34:59.080 --> 0:35:04.359
<v Speaker 8>call it so flood, wildfires, and thunderstorms are causing more

0:35:04.400 --> 0:35:07.160
<v Speaker 8>and more insurance damage as opposed to you know, a

0:35:07.239 --> 0:35:11.640
<v Speaker 8>hurricane Ian, a Hurricane Katrina like event, and insurers are

0:35:11.680 --> 0:35:16.080
<v Speaker 8>trying to figure out how can they protect their own portfolios,

0:35:16.120 --> 0:35:19.200
<v Speaker 8>their own balance sheets, but also provide insurance to people

0:35:19.239 --> 0:35:22.440
<v Speaker 8>when you have more of these type of events occurring,

0:35:22.520 --> 0:35:26.759
<v Speaker 8>this sort of medium size five ten billion dollar disasters

0:35:27.480 --> 0:35:29.880
<v Speaker 8>versus you know, the one sort a thirty year event,

0:35:30.480 --> 0:35:32.719
<v Speaker 8>and at the same time try to make sure that

0:35:32.800 --> 0:35:36.560
<v Speaker 8>you know their balance sheet is protected. That's not so

0:35:36.640 --> 0:35:39.120
<v Speaker 8>easy to do because we don't have much data on

0:35:39.200 --> 0:35:42.600
<v Speaker 8>these kind of secondary perils. And also the models that

0:35:42.640 --> 0:35:47.080
<v Speaker 8>are used that give an investor some certainty that okay,

0:35:47.120 --> 0:35:51.840
<v Speaker 8>they don't stand to lose. You know, typically rare hurricane

0:35:51.920 --> 0:35:54.520
<v Speaker 8>the loss estimate is somewhere in the region of two percent.

0:35:54.680 --> 0:35:57.240
<v Speaker 8>It's fairly low. The return you can get is something

0:35:57.360 --> 0:36:00.920
<v Speaker 8>like eight nine percent. So as long as that clarity

0:36:01.040 --> 0:36:05.239
<v Speaker 8>isn't there for these tornadoes, thunderstorms, ice storms that you

0:36:05.320 --> 0:36:08.520
<v Speaker 8>see in Texas, as long as that's happening, the insurance

0:36:08.560 --> 0:36:11.000
<v Speaker 8>industry is going to find it difficult to access the

0:36:11.040 --> 0:36:14.239
<v Speaker 8>camp bond market to cover those kind of perils which

0:36:14.280 --> 0:36:15.440
<v Speaker 8>are becoming more common.

0:36:15.880 --> 0:36:21.920
<v Speaker 3>Gotam, what are the main risk events that now a

0:36:22.040 --> 0:36:25.520
<v Speaker 3>CEO is modeling that may or may not happen, like

0:36:25.600 --> 0:36:27.520
<v Speaker 3>because he basically has a model what he thinks will

0:36:27.520 --> 0:36:30.040
<v Speaker 3>happen and then either take a little bit more risk

0:36:30.120 --> 0:36:33.239
<v Speaker 3>but for more reward, or avoid that altogether. But what

0:36:33.320 --> 0:36:34.920
<v Speaker 3>are the things you're seeing right now?

0:36:35.160 --> 0:36:38.239
<v Speaker 8>Well, you know, they own something like two hundred and

0:36:38.280 --> 0:36:42.000
<v Speaker 8>fifty or two hundred and eighty individual catastrophe bonds and

0:36:42.040 --> 0:36:44.520
<v Speaker 8>the whole market maybe has three hundred and twenty or so.

0:36:44.600 --> 0:36:47.399
<v Speaker 8>These are rough figures, so they are very dominant. They

0:36:47.400 --> 0:36:51.080
<v Speaker 8>own a vast swath of this whole market. You know,

0:36:51.120 --> 0:36:57.000
<v Speaker 8>that could include a tsunami campbond for Japan, or typhoon

0:36:57.080 --> 0:37:01.160
<v Speaker 8>camp bond for the Philippines, a hurricane cat bond for Mexico,

0:37:01.600 --> 0:37:05.800
<v Speaker 8>all kinds of different events. So I think their modeling

0:37:06.080 --> 0:37:11.919
<v Speaker 8>is primarily focused still on the big potential disasters such

0:37:11.920 --> 0:37:17.080
<v Speaker 8>as hurricanes or an earthquake in California or wildfires in California,

0:37:17.520 --> 0:37:20.400
<v Speaker 8>and less so on things like thunderstorms, because again they

0:37:20.440 --> 0:37:24.320
<v Speaker 8>don't really have the data or the sophisticated models yet,

0:37:24.480 --> 0:37:27.279
<v Speaker 8>but they're building up that because that's where the catastrophe

0:37:27.360 --> 0:37:29.200
<v Speaker 8>bond market is going to grow. It's going to move

0:37:29.239 --> 0:37:32.279
<v Speaker 8>away from the kind of Hurricane Katrina like events, the

0:37:32.360 --> 0:37:35.759
<v Speaker 8>rare of big disaster events, and more to you know,

0:37:36.080 --> 0:37:39.480
<v Speaker 8>Hurricane Sandy like event, which you know there is a

0:37:39.480 --> 0:37:43.560
<v Speaker 8>catbond for. You know, the New York Subway system has

0:37:43.600 --> 0:37:46.360
<v Speaker 8>acquired one hundred million catbord. I think they've renewed perhaps

0:37:46.480 --> 0:37:49.439
<v Speaker 8>the third time now to protect the subways from going

0:37:49.520 --> 0:37:53.160
<v Speaker 8>underwater should a Hurricane Sandy like event hit the city.

0:37:53.520 --> 0:37:56.280
<v Speaker 4>Head on our thanks to Gatin Nike. He's a Bloomberg

0:37:56.320 --> 0:37:58.680
<v Speaker 4>senior editor covering ESG Investing.

0:37:58.520 --> 0:38:03.040
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0:38:03.239 --> 0:38:06.920
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0:38:07.040 --> 0:38:10.000
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