WEBVTT - Why Carson Block's Short on Bank of Ozarks Has Failed

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<v Speaker 1>Welcome to the Bloomberg p m L Podcast. I'm Pim Fox.

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<v Speaker 1>Along with my co host Lisa Bramowitz. Each day we

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<v Speaker 1>bring you the most important, noteworthy, and useful interviews for

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<v Speaker 1>you and your money, whether you're at the grocery store

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<v Speaker 1>or the trading floor. Find the Bloomberg p m L

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<v Speaker 1>Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. You know, Lisa,

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<v Speaker 1>one of the things I like to do when we

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<v Speaker 1>talk about interest rates, for example, is always think of context, right,

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<v Speaker 1>because we're worried about whether the federal rates interest rates

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<v Speaker 1>a quarter? You know, how many interest rate increases will

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<v Speaker 1>we get this year? Do you know the back in

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<v Speaker 1>seventy nine, um FED funds rate was eleven percent and

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<v Speaker 1>it wasn't even done then because in nineteen one, I remember,

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<v Speaker 1>I think it was in that summer, the June that summer,

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<v Speaker 1>they were twenty percent believed. Do you think that would

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<v Speaker 1>be a good time to buy a bank, Well, I

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<v Speaker 1>think that it was. For George Gleeson, he's our next guest.

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<v Speaker 1>She's a chief executive officer and chairman of the Bank

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<v Speaker 1>of the Ozarks based in Little Rocks. We did that,

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<v Speaker 1>thanks for us, You know it seems like a very

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<v Speaker 1>different era from back then. Well, that's what I want

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<v Speaker 1>to Maybe we could just start off. I'd like maybe

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<v Speaker 1>just for you to tell a little bit of the

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<v Speaker 1>story of the bank. And as I said, nineteen seventy

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<v Speaker 1>nine eleven percent FED funds and we're worried about quarter

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<v Speaker 1>in crease. Well, that's true, and of course Paul Volker

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<v Speaker 1>was at the FED and was pursuing the quest to

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<v Speaker 1>slay inflation by all possible means. So within my first

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<v Speaker 1>two years as chairman, CEO and majority owner of Bank

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<v Speaker 1>of the Ozarks, the FED funds, right, did go from

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<v Speaker 1>ten to twenty percent. And the interesting thing about that

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<v Speaker 1>was that we were in a state that had a

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<v Speaker 1>institutional usery law then that limited our interest rate we

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<v Speaker 1>could charge on loans to ten percent. Needless to say,

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<v Speaker 1>we were doing a lot of investments and not much

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<v Speaker 1>lending in those days and still managed to have record

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<v Speaker 1>profits that year, both those years actually well, and partly

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<v Speaker 1>probably because of net interest margin, right, I mean, you

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<v Speaker 1>could just generate so much from your loans from just

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<v Speaker 1>client activity, and I have to wonder how that contrasts

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<v Speaker 1>with today when we're facing pretty low rates for the

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<v Speaker 1>foreseeable future regardless of h to minimus interest rate tikes. Uh,

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<v Speaker 1>you know how optimistic are you? Well, we're very optimistic

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<v Speaker 1>about our situation. Of course, our net interest margin is

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<v Speaker 1>close to five percent. The quarter just ended, our net

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<v Speaker 1>interest margin was four point nine So we've very carefully

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<v Speaker 1>built all of our lines of business over the thirty

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<v Speaker 1>eight years that I've been chairman, chief executive officer to

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<v Speaker 1>to generate really good return better than average returns, while

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<v Speaker 1>we have much better than average industry credit quality. Well,

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<v Speaker 1>I have to wonder how you're doing. And I do

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<v Speaker 1>know that there was some controversy over your bank at

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<v Speaker 1>this own conference when Carson Flock of Muddy Waters UH

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<v Speaker 1>labeled your firm is the big short, They're big short,

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<v Speaker 1>they're big idea, which failed spectacularly, I should say, with

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<v Speaker 1>your firm gaining about thirty the shares in the following year.

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<v Speaker 1>So people who followed that advice would have been badly

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<v Speaker 1>burned if they had tried to go against the momentum

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<v Speaker 1>in your shares. But but part of the rational was that, Uh,

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<v Speaker 1>you were investing a lot in bigger cities and real estate,

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<v Speaker 1>and that this could potentially be a problem. Are you

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<v Speaker 1>still investing in that and what's your rational? Well, absolutely,

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<v Speaker 1>we're commercial real estate lender first and foremost, and we've

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<v Speaker 1>done that all of my career, and our clients include

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<v Speaker 1>probably eighty five of the hundred largest real estate develop

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<v Speaker 1>oppers in the country. Uh. We do very high quality

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<v Speaker 1>projects with very sophisticated, high quality sponsors, but we do

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<v Speaker 1>those transactions at very low leverage. The Real Estate Specialties

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<v Speaker 1>Group which handles all of our large national commercial real

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<v Speaker 1>estate leaning and accounts for about sixty eight percent of

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<v Speaker 1>our non purchase loans loans other than those loans we've

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<v Speaker 1>acquired in acquisitions, the weighted average loan to cost if

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<v Speaker 1>we fully advance every one of those loans is forty

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<v Speaker 1>nine percent, and the weighted average loan to appraise value

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<v Speaker 1>is forty two percent. Obviously, a commercial real estate loan

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<v Speaker 1>that you're at forty two percent loan to value and

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<v Speaker 1>forty nine percent loan to cost has an incredibly different

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<v Speaker 1>risk profile than a commercial real estate loan at eighty

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<v Speaker 1>or eighty five percent loan to value and loan to cost.

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<v Speaker 1>So we're very conservative. Um, and I think uh, when

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<v Speaker 1>UM that the sis was introduced at the SOUND conference

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<v Speaker 1>early in two six the guys had probably screened us

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<v Speaker 1>and knew, wow, look at their commercial real estate concentration,

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<v Speaker 1>look at their growth rates, they must be doing something

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<v Speaker 1>very risky. But in fact, we've probably got the most

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<v Speaker 1>conservative commercial real estate loan portfolio in the US banking industry.

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<v Speaker 1>The way that you described how Carson Block may or

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<v Speaker 1>may not have arrived at what this conclusion the very

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<v Speaker 1>nature that's screening and the very nature of how markets

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<v Speaker 1>have evolved. I'm wondering if you could just offer, as

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<v Speaker 1>I think, you're the fourth largest shareholder in the bank. Uh,

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<v Speaker 1>the bank makes no bones about your participation in its

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<v Speaker 1>founding and running. I mean that's so there's a level

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<v Speaker 1>of personal responsibility. And I'm wondering how that maybe even

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<v Speaker 1>ties in with the map of where you locate. Well,

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<v Speaker 1>there there is a great of personal responsibility. And and um,

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<v Speaker 1>I see all of the loans in the company above

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<v Speaker 1>ten million dollars. Of course, Dan Thomas, who runs our

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<v Speaker 1>real estate specialties group for US, sees all of those loans,

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<v Speaker 1>and all those loans are approved by committee. Um. But

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<v Speaker 1>the culture that we've built over thirty eight years is

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<v Speaker 1>far more important than individuals. We have created a culture

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<v Speaker 1>um that is very conservative, very customer centric, and very

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<v Speaker 1>focused on excellence in all we do. Uh for example,

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<v Speaker 1>on asset quality. In the twenty years we just celebrated

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<v Speaker 1>today at at NASDAC ringing the bell, they're celebrated our

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<v Speaker 1>twentieth anniversary as a public company. And in that twenty years,

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<v Speaker 1>there's not been a single year where our net charge

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<v Speaker 1>offer ratio has equalled or exceeded the industry's average net

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<v Speaker 1>charge offeration. We beat the industry every single year for

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<v Speaker 1>twenty years and beat them on average by sixty So

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<v Speaker 1>we're very conservative and and to do that, it's not

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<v Speaker 1>one person or a loan committee or two or three people.

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<v Speaker 1>It is a culture that invades and and pervades the

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<v Speaker 1>entire company. So given the fact that you do have

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<v Speaker 1>very high standards, you're expecting to increase your assets from

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<v Speaker 1>about twenty billion dollars to fifty billion dollars of us

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<v Speaker 1>it's probably over the next three years, well, I would

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<v Speaker 1>I would say that's an overstatement. And of course we've

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<v Speaker 1>made fifteen acquisitions in the last eight years, so the

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<v Speaker 1>pace of acquisitions one can never predict. You don't know

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<v Speaker 1>whether you're going to do an acquisition or not, because

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<v Speaker 1>you have to find a transaction that makes sense and

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<v Speaker 1>reach agreement between a willing buyer and a willing seller.

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<v Speaker 1>So if you exclude acquisitions, I would say it's more

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<v Speaker 1>realistic to assume that we would grow from twenty bill

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<v Speaker 1>and to fifty b and over a five, six or

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<v Speaker 1>seven year time frame apart from acquisitions. All right, So

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<v Speaker 1>I imagine it's it's an interesting time right now, and

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<v Speaker 1>I wish we could speak for the next hour because frankly,

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<v Speaker 1>I have so many questions about running a bank in

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<v Speaker 1>this current environment. And we didn't even get into the

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<v Speaker 1>regulatory rollbacks and what that might do. I mean, there's

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<v Speaker 1>so much. Unfortunately we have to leave it there, but

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<v Speaker 1>I promise back he'll give you the phone number, please do.

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<v Speaker 1>George Gleeson, thank you so much for joining us. Truly

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<v Speaker 1>fascinating uh story and a fascinating bank. Really, Chief executive

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<v Speaker 1>Officer and Chairman of the Bank of the Ozarks in

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<v Speaker 1>Little Rock, Arkansas. Since that zone meeting, the shares gained

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<v Speaker 1>more than thirty percent in the following year. Well, there

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<v Speaker 1>is a new sub prime boom, and here to tell

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<v Speaker 1>us about it is Gabrielle Coppola and Gabrielle, you know

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<v Speaker 1>you are I always I didn't think of you necessarily

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<v Speaker 1>just as someone who's interested in the credit but also

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<v Speaker 1>in the underlying manufacture of vehicles autumn, you know, around

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<v Speaker 1>the world. Can you just describe what you're trying to

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<v Speaker 1>get at here in terms of the US and the

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<v Speaker 1>way we buy cars and what's happened, because a lot

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<v Speaker 1>of this has to do with the way people finance

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<v Speaker 1>their automobiles. Yeah, um, I think that. You know, after

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<v Speaker 1>the mortgage crisis, Um, the housing sector wasn't a very

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<v Speaker 1>healthy place for banks to play. But then there was

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<v Speaker 1>also the rebound, the revival of the auto industry, helped

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<v Speaker 1>in course by the you know, bailout by the US government.

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<v Speaker 1>Car sales came booming back, and um, people needed banks

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<v Speaker 1>to finance that, and that created a huge opportunity. There

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<v Speaker 1>was a huge credit expansion, and we saw a huge

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<v Speaker 1>credit expansion for people with lower credit scores buying cars. Right.

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<v Speaker 1>And we've heard a lot about has some of the

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<v Speaker 1>subprime auto loans that have been originated since the crisis

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<v Speaker 1>have been souring at a faster pace than many have expected.

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<v Speaker 1>That it's kind have created this spiraling effect where you

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<v Speaker 1>had a lot of not only subprime auto loans, but

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<v Speaker 1>you also had a lot of auto leases. So then

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<v Speaker 1>the resale values are going down as the leases come up,

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<v Speaker 1>and you know, there's been a big issue here. But

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<v Speaker 1>I really want to home in on two companies in

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<v Speaker 1>particular Santander, which is the leading subprime auto loan originator,

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<v Speaker 1>as well as Fiat Chrysler, which is thought of as

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<v Speaker 1>sort of the third in the triumvirate of vehicle manufacturers

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<v Speaker 1>in the US, And how do they come to kind

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<v Speaker 1>of join forces and how it significantly it has their

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<v Speaker 1>partnership kind of created a lot of the subprime auto

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<v Speaker 1>loans that weren't looking at right now. Well again, when

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<v Speaker 1>Chrysler was sort of coming back from the dead, you know,

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<v Speaker 1>in the wake of the financial crisis, they needed they

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<v Speaker 1>didn't have a captive finance arm anymore, and they needed one,

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<v Speaker 1>just like you have Foreign Motor Credit or GM financial.

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<v Speaker 1>Chrysler needed a partner to finance its car sales instead

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<v Speaker 1>of I think they didn't have the money to buy one,

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<v Speaker 1>so they made this partnership with Sintender, And I think

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<v Speaker 1>one of the reasons the head of sales for cry

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<v Speaker 1>sort of at the time said he chose Santanair because

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<v Speaker 1>their expertise in automated decision NG and big data. So

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<v Speaker 1>the idea that they could really um use big data

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<v Speaker 1>to kind of harness get it on this boom um

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<v Speaker 1>speed up the process of buying cars, like big data

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<v Speaker 1>meaning that they could they could use less information from

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<v Speaker 1>each borrower to more quickly originate loans, or big data

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<v Speaker 1>to basically identify the credit quality. I think that more

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<v Speaker 1>that's the idea that analytics data mining being able to

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<v Speaker 1>kind of assess people's credit quality in a more efficient way.

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<v Speaker 1>And by the reason why Ascess in particular is because

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<v Speaker 1>Santandair in particular has been pinpointed is not verifying the

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<v Speaker 1>incomes of a lot of the uh people who uh

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<v Speaker 1>it lends to right, yes, And that is actually in

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<v Speaker 1>my story I talked about this settlement they had with

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<v Speaker 1>attorneys general in Massachusetts and and and Delaware where they

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<v Speaker 1>paid twenty six million dollars. They you know, they didn't

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<v Speaker 1>neither admit nor deny any wrongdoing, but if you read

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<v Speaker 1>that settlement, it talks about what they're basically, what they're

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<v Speaker 1>accused of by the prosecutors is kind of looking the

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<v Speaker 1>other way when there's very obvious signs of fraud, you know,

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<v Speaker 1>when when you get there's They had a group they

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<v Speaker 1>called them the fraud dealers, their internal audit system. There

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<v Speaker 1>were dealers who were um sending applications where someone would

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<v Speaker 1>um default you know on the very first payment or

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<v Speaker 1>you find out that the car they said the certain

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<v Speaker 1>trim levels were a certain level that made the collateral

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<v Speaker 1>bigger so that they could justify getting a bigger loan

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<v Speaker 1>and put that person in that car. And turned out

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<v Speaker 1>that those were not true. So that's happening at the

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<v Speaker 1>at the real originator is the car dealer who's getting

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<v Speaker 1>you in that car, right, But they're saying, Santander, you

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<v Speaker 1>did not do your job in terms of having your

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<v Speaker 1>due diligence to check that and that issue came up again.

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<v Speaker 1>This is separate, but when you know, Moody's did a

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<v Speaker 1>report early this year looking at the A B S

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<v Speaker 1>that Santender originates. They said they only chat securities and

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<v Speaker 1>thank you. Um they said, oh we did. We had

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<v Speaker 1>this new data that came out under some new rule,

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<v Speaker 1>you know, they were able to see more data and said, uh,

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<v Speaker 1>Santenda only checks eight percent of the incomes in this

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<v Speaker 1>subprime this's a billion dollars of of subprime auto auto loans.

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<v Speaker 1>Santandera will say that they have other criteria that they're

0:13:02.440 --> 0:13:04.560
<v Speaker 1>using to check and it's not just that that's basically

0:13:04.559 --> 0:13:07.240
<v Speaker 1>one of the things that they say. But that's the issue,

0:13:07.240 --> 0:13:09.960
<v Speaker 1>and I think that's what people are uh scrutinizing. What's

0:13:10.000 --> 0:13:14.199
<v Speaker 1>regulators are looking at eight percent and that compares with ally,

0:13:14.240 --> 0:13:19.720
<v Speaker 1>which is another big old GM. Yes, now they're quite

0:13:19.720 --> 0:13:22.199
<v Speaker 1>separate from GM, but they said, hey, you know, by

0:13:22.200 --> 0:13:24.520
<v Speaker 1>the way, we check sixty five percent of our incomes,

0:13:24.880 --> 0:13:28.160
<v Speaker 1>and GM Financial also said we check about sixty So

0:13:28.200 --> 0:13:30.480
<v Speaker 1>how many vehicles do you have any sense of how

0:13:30.520 --> 0:13:33.960
<v Speaker 1>many or the proportion of Chrysler vehicles sold that relied

0:13:34.160 --> 0:13:38.480
<v Speaker 1>on santan Dair for financing. Well, that's actually so the

0:13:38.480 --> 0:13:40.760
<v Speaker 1>actual it's kind of so they have this partnership and

0:13:40.840 --> 0:13:43.280
<v Speaker 1>it's been very hard for them to meet the pennant.

0:13:43.320 --> 0:13:45.920
<v Speaker 1>They wanted Santender to be doing like sixty of their

0:13:46.400 --> 0:13:49.480
<v Speaker 1>you know, Chrysler capital, that's the brand of it. They

0:13:49.480 --> 0:13:51.120
<v Speaker 1>wanted it by this time, but this year it should

0:13:51.160 --> 0:13:54.800
<v Speaker 1>have been sixty. It's so it's actually very low. So

0:13:54.840 --> 0:13:58.079
<v Speaker 1>even though Sintenda is a very low proportion of Chrysler financing,

0:13:58.480 --> 0:14:01.200
<v Speaker 1>christ would makes up a very more than half of

0:14:01.240 --> 0:14:06.319
<v Speaker 1>the auto financing that Santander does. Well. That goes back

0:14:06.360 --> 0:14:09.320
<v Speaker 1>to that agreement that you described earlier, saying that maybe

0:14:09.400 --> 0:14:13.160
<v Speaker 1>Fiat was not large enough to buy or uh, Fiat

0:14:13.240 --> 0:14:16.160
<v Speaker 1>Chrysler was not large enough to buy its own credit company,

0:14:16.240 --> 0:14:18.160
<v Speaker 1>so they had to make where they did make this

0:14:18.200 --> 0:14:20.760
<v Speaker 1>alliance with Santander, right, and this is supposed to be

0:14:20.800 --> 0:14:23.000
<v Speaker 1>and it still is. I think Santander still wants it

0:14:23.040 --> 0:14:26.240
<v Speaker 1>to be a big avenue for expansion. Growth is Chrysler,

0:14:26.560 --> 0:14:28.280
<v Speaker 1>and they're actually doing a lot of things. You know,

0:14:28.320 --> 0:14:31.320
<v Speaker 1>they have a program to clean up, They're trying the

0:14:31.320 --> 0:14:34.360
<v Speaker 1>new CEO, Scott Powell. They've actually fired eight hundred dealers

0:14:34.400 --> 0:14:37.880
<v Speaker 1>across their network to clean They're trying, they are doing things,

0:14:37.920 --> 0:14:40.360
<v Speaker 1>but this is still out there. Gabrielle Coppola, thank you

0:14:40.440 --> 0:14:42.760
<v Speaker 1>so much for joining us, and uh, congratulations on an

0:14:42.760 --> 0:14:45.400
<v Speaker 1>awesome story. It definitely takes a look at a deeper

0:14:45.480 --> 0:14:47.320
<v Speaker 1>look at an issue that a lot of people have

0:14:47.440 --> 0:14:51.040
<v Speaker 1>been homing in on as a possible problem. Gabrielle Coppola

0:14:51.080 --> 0:15:05.880
<v Speaker 1>is an autos writer for Bloomberg US. Well, to learn

0:15:05.880 --> 0:15:08.120
<v Speaker 1>more about what's going on with Blue Apron, we have

0:15:08.200 --> 0:15:11.600
<v Speaker 1>an expert, Selena Wang is joining us now she is

0:15:11.600 --> 0:15:15.440
<v Speaker 1>are Bloomberg. I gotta say, you're like the meal You

0:15:15.520 --> 0:15:20.000
<v Speaker 1>cover meal companies and uh delivery companies, but they're really

0:15:20.040 --> 0:15:23.240
<v Speaker 1>tech companies. Right, this is Blue Apron. What is going on?

0:15:23.280 --> 0:15:25.800
<v Speaker 1>The stock was down as much as twelve right. I

0:15:25.800 --> 0:15:27.320
<v Speaker 1>think you just hit on something that a lot of

0:15:27.320 --> 0:15:30.120
<v Speaker 1>people say. You know, just because they sell orders digitally

0:15:30.160 --> 0:15:32.480
<v Speaker 1>doesn't make it a tech company necessarily. This is a

0:15:32.520 --> 0:15:35.680
<v Speaker 1>super cost intensive business. They have to source all the ingredients,

0:15:35.920 --> 0:15:37.840
<v Speaker 1>they have to put it all together. These are really

0:15:37.880 --> 0:15:41.240
<v Speaker 1>expensive ingredients, put them to fulfillment centers, delivered to people.

0:15:41.760 --> 0:15:46.520
<v Speaker 1>And this Amazon trademark filing is just another kind of

0:15:46.600 --> 0:15:48.960
<v Speaker 1>nail on the coffin for Blue Apron, as some investors

0:15:48.960 --> 0:15:51.240
<v Speaker 1>would see it. I mean, Blue Apron already has all

0:15:51.240 --> 0:15:53.960
<v Speaker 1>of these financial issues, and now you have a behemoth

0:15:54.040 --> 0:15:56.800
<v Speaker 1>that may be getting into the same business that it's in. Okay,

0:15:56.840 --> 0:15:59.240
<v Speaker 1>so that maybe getting into the same business, right, I

0:15:59.280 --> 0:16:03.280
<v Speaker 1>mean they file a trademark Apple hard food kits. This

0:16:03.360 --> 0:16:07.160
<v Speaker 1>is Amazon dot Com? How soon? How quickly could they

0:16:07.160 --> 0:16:11.680
<v Speaker 1>develop an actual business based on this filing? And second

0:16:11.680 --> 0:16:13.400
<v Speaker 1>of all, do we have a sense of whether it

0:16:13.680 --> 0:16:16.080
<v Speaker 1>really does directly overlap with bluavor? I mean it does.

0:16:16.120 --> 0:16:18.240
<v Speaker 1>It definitely sounds like right right. So, in the world

0:16:18.320 --> 0:16:21.200
<v Speaker 1>of these types of applications, there's kind of two categories.

0:16:21.200 --> 0:16:24.000
<v Speaker 1>So there's one which is, we're already using this trademark

0:16:24.040 --> 0:16:26.920
<v Speaker 1>for products, so you should consider application. And the second

0:16:26.960 --> 0:16:29.240
<v Speaker 1>one is we're planning to use this trademark for products,

0:16:29.280 --> 0:16:32.840
<v Speaker 1>so you should uh is we're planning to use this

0:16:32.880 --> 0:16:36.400
<v Speaker 1>trademark for products, so you should consider application. Amazon filed

0:16:36.520 --> 0:16:38.840
<v Speaker 1>under the ladder, which means they're planning to use it,

0:16:38.840 --> 0:16:41.160
<v Speaker 1>doesn't necessarily mean this is all going to go through

0:16:41.280 --> 0:16:44.000
<v Speaker 1>that is going to get approved. So that means that

0:16:44.040 --> 0:16:48.160
<v Speaker 1>they're definitely looking at the business and they're considering it. Uh.

0:16:48.240 --> 0:16:51.160
<v Speaker 1>No idea when they would actually start doing this. Why

0:16:51.240 --> 0:16:53.360
<v Speaker 1>why would they get into it? It's a crowded business

0:16:53.440 --> 0:16:56.400
<v Speaker 1>that is of dubious lucrative nous. Well, if we look

0:16:56.440 --> 0:16:59.400
<v Speaker 1>at this Amazon Whole Foods deal, they were willing to

0:16:59.440 --> 0:17:02.680
<v Speaker 1>put in PLoP down billions of dollars to buy a

0:17:02.800 --> 0:17:06.800
<v Speaker 1>grocery store business. Now, uh, food is incredibly important. It's

0:17:06.840 --> 0:17:10.000
<v Speaker 1>a huge, huge market. Amazon clearly wants to get into it.

0:17:10.119 --> 0:17:12.520
<v Speaker 1>They have the brand now, they have the distribution, they

0:17:12.600 --> 0:17:15.639
<v Speaker 1>have the fulfillment centers with the Whole Food's acquisition. So

0:17:15.680 --> 0:17:18.400
<v Speaker 1>you can think of all sorts of integrations to make

0:17:18.480 --> 0:17:23.959
<v Speaker 1>something like meal delivery actually pretty efficient for somebody like

0:17:24.040 --> 0:17:27.480
<v Speaker 1>Amazon when they have so much backing and support on

0:17:27.520 --> 0:17:29.959
<v Speaker 1>the back end and in terms of the physical locations.

0:17:30.880 --> 0:17:34.840
<v Speaker 1>Have you heard anybody saying that, uh, Blue Apron is

0:17:34.880 --> 0:17:38.040
<v Speaker 1>now a buy at six? I mean, if you're talking

0:17:38.040 --> 0:17:41.479
<v Speaker 1>about it right, because nothing the deal was done right

0:17:41.560 --> 0:17:46.240
<v Speaker 1>June Stockho's public at ten. They sold thirty million shares

0:17:47.040 --> 0:17:53.160
<v Speaker 1>and stock is what trading at six and change what

0:17:53.280 --> 0:17:55.760
<v Speaker 1>That doesn't necessarily mean they're, you know, throwing away all

0:17:55.760 --> 0:17:58.600
<v Speaker 1>their strategic plans. They already had the money, They've got

0:17:58.760 --> 0:18:02.960
<v Speaker 1>big cash flow. Um, they have a brand name. I'm

0:18:03.000 --> 0:18:08.120
<v Speaker 1>just wondering, they've built infrastructure that is theirs, and I'm wondering,

0:18:08.200 --> 0:18:10.720
<v Speaker 1>you know, you hear anybody saying anything like, well, no,

0:18:10.880 --> 0:18:13.920
<v Speaker 1>they're a player. Remember what happened to Facebook. It came

0:18:13.920 --> 0:18:15.840
<v Speaker 1>out I think at thirty five, and was that whole

0:18:15.840 --> 0:18:19.320
<v Speaker 1>thing with the Nastac and you know, people were furious,

0:18:19.359 --> 0:18:21.320
<v Speaker 1>but the turn out that if you had held on

0:18:21.359 --> 0:18:23.000
<v Speaker 1>it was a good bed, right. I mean, I don't

0:18:23.040 --> 0:18:25.400
<v Speaker 1>think we can say for sure right now whether it's

0:18:25.440 --> 0:18:27.200
<v Speaker 1>going to be a total flop or if it's going

0:18:27.200 --> 0:18:29.919
<v Speaker 1>to succeed and get to facebooks. I mean, it's not

0:18:29.960 --> 0:18:32.359
<v Speaker 1>like Amazon was buying, you know, the sharpest hack in

0:18:32.400 --> 0:18:34.879
<v Speaker 1>the box in the sense that the Whole Foods was

0:18:34.920 --> 0:18:37.560
<v Speaker 1>facing competition, when I mean in a way, this was

0:18:37.880 --> 0:18:40.560
<v Speaker 1>great for Whole Foods to get. Asking whether Amazon would

0:18:40.560 --> 0:18:44.439
<v Speaker 1>consider buying Blue Apron, I don't think it would make

0:18:44.480 --> 0:18:46.040
<v Speaker 1>a lot of sense for them at this point. I mean,

0:18:46.080 --> 0:18:48.480
<v Speaker 1>they have Whole Foods, they could build their own Blue

0:18:48.480 --> 0:18:51.240
<v Speaker 1>Apron esque sort of business. But like as you did say,

0:18:51.280 --> 0:18:53.840
<v Speaker 1>it is quite cheap right now. I mean Blue Apron

0:18:53.960 --> 0:18:56.760
<v Speaker 1>does have the brand, that's true, they have you know,

0:18:56.800 --> 0:18:59.399
<v Speaker 1>people know that it's a quality product they're getting when

0:18:59.400 --> 0:19:00.840
<v Speaker 1>they go to Blue Brint. But this is not a

0:19:00.920 --> 0:19:03.359
<v Speaker 1>cheap product. And the type of customer that's going to

0:19:03.440 --> 0:19:05.720
<v Speaker 1>Whole Foods is a very similar demographic as a type

0:19:05.720 --> 0:19:07.960
<v Speaker 1>of customer that is going to Blue Apron. Kind of

0:19:07.960 --> 0:19:11.359
<v Speaker 1>this top ten percent of income in households, it's not cheap.

0:19:11.840 --> 0:19:14.160
<v Speaker 1>At what point does Amazon just have so much momentum

0:19:14.200 --> 0:19:16.960
<v Speaker 1>because they already have the brand name, They're already associated

0:19:17.000 --> 0:19:20.679
<v Speaker 1>with something that many people view as quality and reliable

0:19:20.800 --> 0:19:22.840
<v Speaker 1>and consistent, so they don't have to spend all this

0:19:22.920 --> 0:19:26.360
<v Speaker 1>money on advertising like Blue Apron has, which has been

0:19:26.480 --> 0:19:30.440
<v Speaker 1>the bulk of their revenue right exactly, I mean marketing

0:19:30.520 --> 0:19:33.640
<v Speaker 1>and fulfillment centers had has been a huge reason why

0:19:33.640 --> 0:19:36.640
<v Speaker 1>they've had net losses even as revenue has been growing.

0:19:37.080 --> 0:19:39.919
<v Speaker 1>And you're right, I mean Amazon with Amazon Prime, they

0:19:39.920 --> 0:19:42.240
<v Speaker 1>already have kind of like an existing customer base and

0:19:42.280 --> 0:19:44.000
<v Speaker 1>you can think of all sorts of ways where you know,

0:19:44.040 --> 0:19:46.920
<v Speaker 1>you order you know, Amazon sort of meal delivery kit

0:19:47.040 --> 0:19:49.200
<v Speaker 1>and shop at Whole Foods and you get extra Prime

0:19:49.240 --> 0:19:52.080
<v Speaker 1>points and this all kind of works together. An ecosystem

0:19:52.119 --> 0:19:54.680
<v Speaker 1>makes it very easy to sign up and and get

0:19:54.680 --> 0:19:56.960
<v Speaker 1>people to use whatever service they may come up with

0:19:57.000 --> 0:20:00.720
<v Speaker 1>in the future. Zappos, that was what was thinking of.

0:20:00.800 --> 0:20:04.480
<v Speaker 1>Zap Posts was the shoe business, and they've let it

0:20:04.640 --> 0:20:07.040
<v Speaker 1>have its own brand name, and everyone knows it's owned

0:20:07.040 --> 0:20:09.520
<v Speaker 1>by Amazon, but it's let you know, it's doing its

0:20:09.560 --> 0:20:13.440
<v Speaker 1>own thing. Who news I wouldn't put anything past Amazon, right, Well,

0:20:13.520 --> 0:20:17.000
<v Speaker 1>I'm clearly a strategic vision that is not just confined

0:20:17.080 --> 0:20:20.840
<v Speaker 1>to uh, you know what has happened, more like making

0:20:20.840 --> 0:20:23.000
<v Speaker 1>it up into the future. I have to wonder how

0:20:23.080 --> 0:20:26.560
<v Speaker 1>much this is related to the Whole Foods purchase. Well,

0:20:26.760 --> 0:20:29.960
<v Speaker 1>you know this did come around the same time, this

0:20:30.040 --> 0:20:32.920
<v Speaker 1>patent application, this trademark application as a Whole Foods purchase.

0:20:32.960 --> 0:20:35.080
<v Speaker 1>And I think that now that they have Whole Foods,

0:20:35.600 --> 0:20:38.800
<v Speaker 1>they have so many a whole world of opportunities in

0:20:38.840 --> 0:20:40.919
<v Speaker 1>the space of food um to go forth with now

0:20:40.960 --> 0:20:43.320
<v Speaker 1>that they have these physical locations in this brand. So

0:20:43.359 --> 0:20:46.000
<v Speaker 1>retailers of all types are just cowering in the corners

0:20:46.040 --> 0:20:49.240
<v Speaker 1>hoping that Amazon won't come after them. Selena Wayne, thank

0:20:49.240 --> 0:20:51.440
<v Speaker 1>you so much for joining us and for illuminating what's

0:20:51.440 --> 0:20:53.719
<v Speaker 1>going on today with Blue Apron shares, which have dropped

0:20:53.880 --> 0:20:57.840
<v Speaker 1>as much as twelve percent following this trademark application for

0:20:58.280 --> 0:21:02.359
<v Speaker 1>something that Amazon just consider at some point in the future.

0:21:02.480 --> 0:21:05.640
<v Speaker 1>Selena Wayan is a Bloomberg Tech reporter and she joins

0:21:05.720 --> 0:21:20.160
<v Speaker 1>us here at our Bloomberg eleven three oh studios. Well

0:21:20.200 --> 0:21:23.320
<v Speaker 1>here to help us define the polls about President Donald

0:21:23.359 --> 0:21:26.400
<v Speaker 1>Trump is and Selzer, the president of Selzer and Company

0:21:26.400 --> 0:21:30.560
<v Speaker 1>are based in the Mourne Right Public opinion Research firm.

0:21:30.680 --> 0:21:34.879
<v Speaker 1>And uh, and thank you very much for being with us. Um,

0:21:34.920 --> 0:21:39.320
<v Speaker 1>just according to the new poll, just of Americans approve

0:21:39.440 --> 0:21:43.000
<v Speaker 1>of the job that President Donald Trump is doing. Now

0:21:43.280 --> 0:21:46.400
<v Speaker 1>you are this is the polling number that you've been

0:21:46.440 --> 0:21:49.719
<v Speaker 1>able to put together and analyze. Correct, you're doing this

0:21:49.760 --> 0:21:52.360
<v Speaker 1>for for Bloomberg, for us, that's right? Where the proposter

0:21:52.440 --> 0:21:55.480
<v Speaker 1>for Bloomberg nots right? And maybe just explain how do

0:21:55.560 --> 0:21:59.000
<v Speaker 1>you actually go about this polling and how does it

0:21:59.160 --> 0:22:03.600
<v Speaker 1>vary so much between polls. Well, if what we do

0:22:03.640 --> 0:22:07.359
<v Speaker 1>is do a scientific survey of a randomly selected sample

0:22:07.400 --> 0:22:10.320
<v Speaker 1>of a thousand people across the country, uh, and make

0:22:10.359 --> 0:22:13.159
<v Speaker 1>sure that that's a good cross section of residents of

0:22:13.160 --> 0:22:16.360
<v Speaker 1>the United States. And we asked them a battery of questions.

0:22:16.359 --> 0:22:19.520
<v Speaker 1>Some of these questions we've been asking since the inception

0:22:19.600 --> 0:22:22.920
<v Speaker 1>of the poll in two thousand nine. And UM, that

0:22:23.000 --> 0:22:25.480
<v Speaker 1>gives us a way to kind of track how things

0:22:25.480 --> 0:22:28.720
<v Speaker 1>have changed and how things have stayed the same over time.

0:22:28.800 --> 0:22:31.000
<v Speaker 1>So you know, two thousand nine was the beginning of

0:22:31.000 --> 0:22:33.359
<v Speaker 1>the Obama administration. So we have the highs and the

0:22:33.440 --> 0:22:39.199
<v Speaker 1>lows of that presidency, and early in Obama's presidency his

0:22:39.640 --> 0:22:43.200
<v Speaker 1>numbers were in the fifty percent and mid fifty percent range.

0:22:43.480 --> 0:22:47.440
<v Speaker 1>So Donald Trump is beginning his presidency at a historic low.

0:22:47.480 --> 0:22:49.679
<v Speaker 1>And there's some other polls out right now which are

0:22:50.160 --> 0:22:52.600
<v Speaker 1>UM have a longer history, that are saying this is

0:22:52.640 --> 0:22:57.240
<v Speaker 1>the lowest for any president this early in his presidency. So,

0:22:57.400 --> 0:22:59.840
<v Speaker 1>and let's talk about the latest survey that you just

0:23:00.040 --> 0:23:03.960
<v Speaker 1>conducted on behalf of Bloomberg and what it says about

0:23:04.520 --> 0:23:07.280
<v Speaker 1>the state of the American consumer. There's some good news

0:23:07.320 --> 0:23:11.320
<v Speaker 1>and there's some bad news. Yes, there there is good news.

0:23:11.320 --> 0:23:15.239
<v Speaker 1>There's optimism, Uh, there's good feeling. Is people take a

0:23:15.240 --> 0:23:19.000
<v Speaker 1>look at job security very specifically, and people take a

0:23:19.000 --> 0:23:21.920
<v Speaker 1>look at the value of their home. Uh. It's the

0:23:22.000 --> 0:23:25.160
<v Speaker 1>highest numbers that we've seen for both of those since

0:23:25.160 --> 0:23:27.680
<v Speaker 1>we've been asking those questions. So that's a very personal

0:23:27.760 --> 0:23:31.920
<v Speaker 1>look at what's happening economically. But we all going back

0:23:31.960 --> 0:23:35.600
<v Speaker 1>to before the crisis or since the crisis. UM. We

0:23:35.640 --> 0:23:39.880
<v Speaker 1>started asking those questions in December of two thousand twelves,

0:23:40.119 --> 0:23:44.440
<v Speaker 1>so since the crisis exactly. UM. But and and then

0:23:44.480 --> 0:23:48.119
<v Speaker 1>a more general question about whether the people feel they

0:23:48.119 --> 0:23:50.879
<v Speaker 1>are moving closer to their hopes for their career, and

0:23:50.960 --> 0:23:56.760
<v Speaker 1>finances are moving farther away from their dreams. Now say

0:23:56.800 --> 0:23:59.680
<v Speaker 1>that they're moving closer. That's as high as we've ever

0:23:59.720 --> 0:24:04.159
<v Speaker 1>seen it. So you have this juxtaposition of feeling good

0:24:04.480 --> 0:24:08.120
<v Speaker 1>about things and what's happening with them personally, and and

0:24:08.480 --> 0:24:13.199
<v Speaker 1>yet awarding a low approval rating for the president. And

0:24:13.240 --> 0:24:16.320
<v Speaker 1>so I kind of think about Jim Carvel, who was

0:24:16.400 --> 0:24:20.000
<v Speaker 1>an advisor to President Clinton, who said, you know, when

0:24:20.000 --> 0:24:22.480
<v Speaker 1>you see a turtle on a on a sense post,

0:24:22.680 --> 0:24:25.520
<v Speaker 1>it didn't get there by themselves by itself. So you

0:24:25.680 --> 0:24:27.480
<v Speaker 1>kind of think, well, what is that that's happening in

0:24:27.520 --> 0:24:30.520
<v Speaker 1>the economy, and did it happen by itself? Or is

0:24:30.560 --> 0:24:34.439
<v Speaker 1>Donald Trump having any leadership impact. It's just there's a

0:24:34.480 --> 0:24:36.560
<v Speaker 1>little bit of a disconnect. There's a little bit of

0:24:36.560 --> 0:24:40.359
<v Speaker 1>a dissonance between the goodness that people are feeling and

0:24:40.480 --> 0:24:44.080
<v Speaker 1>not getting any attribution for the president who's leading this country.

0:24:44.200 --> 0:24:46.600
<v Speaker 1>You know, And just to play devil's advocate, what if

0:24:46.640 --> 0:24:51.600
<v Speaker 1>somebody said, look, polls have been radically inaccurate for the

0:24:51.680 --> 0:24:55.960
<v Speaker 1>past few elections, and you know, maybe this dissonance reflects

0:24:56.000 --> 0:24:59.440
<v Speaker 1>the way that questions are being asked to get an

0:24:59.480 --> 0:25:03.800
<v Speaker 1>unfavored opinion. Well, I would I would take issue with

0:25:03.840 --> 0:25:06.840
<v Speaker 1>the radically inaccurate. In fact, our polls have been highly accurate.

0:25:06.840 --> 0:25:10.600
<v Speaker 1>Were rated among the most accurate polling companies in of

0:25:10.640 --> 0:25:14.320
<v Speaker 1>the three hundred and fifty polling companies that have been ranked.

0:25:14.400 --> 0:25:16.919
<v Speaker 1>And the fact of the matter is that we we

0:25:17.000 --> 0:25:21.280
<v Speaker 1>see remarkable consistencies. We see things only fluctuating by a

0:25:21.280 --> 0:25:24.400
<v Speaker 1>little bit. So it's not as though we suddenly got

0:25:24.480 --> 0:25:29.159
<v Speaker 1>something very different. Um. You know, I think there is

0:25:29.200 --> 0:25:32.080
<v Speaker 1>no way, given that we asked these questions the same

0:25:32.119 --> 0:25:35.800
<v Speaker 1>way that they were asked of Barack Obama, to say

0:25:35.800 --> 0:25:38.800
<v Speaker 1>that it's the wording of the question that is leading

0:25:38.880 --> 0:25:42.520
<v Speaker 1>us to say that that, but Donald Trump's numbers are lower,

0:25:42.640 --> 0:25:47.040
<v Speaker 1>that there's just no evidence that would support that claim.

0:25:47.080 --> 0:25:50.920
<v Speaker 1>And do the poll results indicate to you a polarized

0:25:51.000 --> 0:25:54.840
<v Speaker 1>nation the way it is often described anecdotally, Well, what

0:25:54.880 --> 0:25:57.399
<v Speaker 1>the poll results do tell us is that there's a

0:25:57.520 --> 0:26:01.479
<v Speaker 1>there's a there's a market difference in how Trump Trump

0:26:01.560 --> 0:26:05.320
<v Speaker 1>voters are rating their president, which is they are sticking

0:26:05.320 --> 0:26:08.320
<v Speaker 1>with him. Uh, there is a very strong majority who

0:26:08.400 --> 0:26:11.520
<v Speaker 1>approve of the job that he's doing. Um, So that

0:26:11.640 --> 0:26:14.840
<v Speaker 1>overall low rating is the people who did not vote

0:26:14.880 --> 0:26:17.600
<v Speaker 1>for him, whether they didn't vote in that election at all,

0:26:18.000 --> 0:26:20.600
<v Speaker 1>or whether they voted for Hillary Clinton or for somebody else.

0:26:20.760 --> 0:26:23.520
<v Speaker 1>What kind of number was What was that coming up

0:26:23.560 --> 0:26:26.679
<v Speaker 1>as that you describe. The Trump voter number is in

0:26:26.760 --> 0:26:30.840
<v Speaker 1>the high eighties. So there that base that he has

0:26:31.119 --> 0:26:35.280
<v Speaker 1>created is still saying that what they see him doing

0:26:35.440 --> 0:26:39.280
<v Speaker 1>is what they hired him to do. And unrelated to Bloomberg,

0:26:39.320 --> 0:26:41.520
<v Speaker 1>we did some focus groups earlier this year to ask

0:26:41.720 --> 0:26:45.920
<v Speaker 1>exactly that question, focus groups with exclusively Trump voters who said, look,

0:26:46.240 --> 0:26:49.880
<v Speaker 1>we hired him so that he would create some havoc,

0:26:50.000 --> 0:26:53.000
<v Speaker 1>and he's creating some havoc, and we're not going to

0:26:53.119 --> 0:26:55.879
<v Speaker 1>like all of it, but it's that general approach that

0:26:55.960 --> 0:26:59.400
<v Speaker 1>they were looking for. They were looking to shake things up.

0:26:59.800 --> 0:27:02.640
<v Speaker 1>So while they might not agree with all of the specifics,

0:27:02.920 --> 0:27:06.160
<v Speaker 1>the general idea of changing the way that the nation

0:27:06.320 --> 0:27:10.960
<v Speaker 1>is governed they were supportive of. And Seltzer really fascinating.

0:27:11.000 --> 0:27:13.000
<v Speaker 1>Thank you so much for joining us and for conducting

0:27:13.000 --> 0:27:15.880
<v Speaker 1>the poll, which is really illuminating and a good look

0:27:15.880 --> 0:27:18.840
<v Speaker 1>into some of the polarization within people's own opinions about

0:27:18.880 --> 0:27:22.000
<v Speaker 1>what's going on right now and Seltzer, President of Seltzer

0:27:22.280 --> 0:27:25.439
<v Speaker 1>and Company based in De Moyne, Iowa. She's sharing the

0:27:25.440 --> 0:27:28.960
<v Speaker 1>results of this broad based poll on President Trump conducted

0:27:29.000 --> 0:27:31.440
<v Speaker 1>for Bloomberg. It was a telephone poll of more than

0:27:31.480 --> 0:27:37.840
<v Speaker 1>a thousand American adults. Thanks for listening to the Bloomberg

0:27:37.880 --> 0:27:40.520
<v Speaker 1>P and L podcast. You can subscribe and listen to

0:27:40.560 --> 0:27:45.080
<v Speaker 1>interviews at Apple Podcasts, SoundCloud, or whatever podcast platform you prefer.

0:27:45.520 --> 0:27:49.080
<v Speaker 1>I'm pim Fox. I'm on Twitter at pim Fox. I'm

0:27:49.080 --> 0:27:52.520
<v Speaker 1>on Twitter at Lisa abramoids one Before the podcast, you

0:27:52.520 --> 0:28:02.040
<v Speaker 1>can always catch us worldwide on Bloomberg Radio.