WEBVTT - Super Micro Fights Delisting, Consumer Spending Outlook as Holidays Loom

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Business

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<v Speaker 1>Wait inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebek from Bloomberg Radio.

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<v Speaker 2>We're going to go next to Carmen Rennicke. She is

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<v Speaker 2>a Bloomberg News equities reporter here with us, and she's

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<v Speaker 2>going to talk about super Microcomputer.

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<v Speaker 3>Oh my gosh, that stock has.

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<v Speaker 2>Been on a wild ride.

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<v Speaker 3>What are you watching?

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<v Speaker 4>It has had an absolutely crazy week. I was just looking.

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<v Speaker 4>Shares right now are up about eleven percent. This is

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<v Speaker 4>on track to gain more than seventy five percent this week,

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<v Speaker 4>which is the best week ever for this stock, which

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<v Speaker 4>has also just had a completely crazy up and down year.

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<v Speaker 4>So what happened this week is on Monday, the company,

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<v Speaker 4>which had fallen out of impliance for listing on the Nasdaq,

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<v Speaker 4>submitted to the Nasdaq a plan to regain compliance, which

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<v Speaker 4>means filing some delayed ten k's and ten cues. It

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<v Speaker 4>also announced that it has a new auditor, BDO USA,

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<v Speaker 4>And I think this is really the piece that people

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<v Speaker 4>were excited about and the traders are trading on because

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<v Speaker 4>this is it just means that it will be easier

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<v Speaker 4>for the company to actually file those filings and get

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<v Speaker 4>back into compliance to stay listed on the Nasdaq.

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<v Speaker 5>The fact that they actually found someone who agreed to

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<v Speaker 5>testify that their numbers aren't fraudulent, Like, if that's the bar,

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<v Speaker 5>it's pretty low, right, So.

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<v Speaker 2>Yeah, well, and that's the thing.

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<v Speaker 4>I mean, this is a company that's burned through a

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<v Speaker 4>few auditors in the past few years. It's one of

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<v Speaker 4>the reasons that it delayed filing its ten K was

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<v Speaker 4>a short seller report from Hindenburg Research came out sort

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<v Speaker 4>of calling into questions some accounting Ernst and Young. It's

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<v Speaker 4>previous auditors stepped down in October, citing issues with govern

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<v Speaker 4>and instant transparency. So yeah, finding a new auditor is

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<v Speaker 4>a big deal, and it kind of remains to be

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<v Speaker 4>seen what exactly, you know, what will happen next. The

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<v Speaker 4>Nasdaq still hasn't accepted super Micro's plan.

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<v Speaker 3>So they filed.

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<v Speaker 4>They said, we have a plan to stay compliant. The

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<v Speaker 4>Nasdaq now has to say yes or no to that.

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<v Speaker 4>It's assumed that it'll take two to five weeks for

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<v Speaker 4>any anything to come out on that, and then if

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<v Speaker 4>the Nasdaq does accept the plan, it has until February

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<v Speaker 4>to file these reports, which as as I've reported this out,

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<v Speaker 4>it seems like is not the easiest lift, right, Like

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<v Speaker 4>it's this is still sort of a truncated timeline to potentially,

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<v Speaker 4>you know, deal with these kinds of issues. Still, that

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<v Speaker 4>being said, some analysts seem to think that this really

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<v Speaker 4>has removed an overhang from the stock and as we

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<v Speaker 4>can see, you know, more more buyers than sellers today.

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<v Speaker 2>So what would happen to super micro if it was

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<v Speaker 2>delisted from the Nasdaq?

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<v Speaker 4>Yeah, so, I mean it would be taken off the exchange,

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<v Speaker 4>it would go over the counter. It would also be

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<v Speaker 4>removed from the NASDAQ one hundred and s and P

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<v Speaker 4>five hundred, which had just joined this year. So that's

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<v Speaker 4>a huge deal. Obviously, it would mean a big rebalance

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<v Speaker 4>for a lot of people, and yeah, a lot of

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<v Speaker 4>a lot of trading.

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<v Speaker 6>It's pretty amazing.

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<v Speaker 5>I mean, it's still a twenty billion dollar company, you know.

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<v Speaker 5>And if you're auditor, one of the most respected orders

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<v Speaker 5>in the world says peace out, like we can't have

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<v Speaker 5>our names even associated with your books, that should be

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<v Speaker 5>a black mark, right, but if you look over the

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<v Speaker 5>last five years, I always default of five years because

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<v Speaker 5>they use the comp function a lot. On the Bloomberg

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<v Speaker 5>the stock is up one four and seventy one percent.

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<v Speaker 4>It has had an incredible run. It's obviously gotten a

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<v Speaker 4>huge lift from the AI wave. It's you know, it's

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<v Speaker 4>it's a sort of a scene as a trading peer,

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<v Speaker 4>at least to Nvidia, and it actually got a shout

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<v Speaker 4>out this week on in Vidia's earnings call. Nvidia said,

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<v Speaker 4>you know, this is one of our most reliable partners,

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<v Speaker 4>and so, yeah, we've seen this stock really really take off.

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<v Speaker 2>What is the precedence for companies being delisted? Like, have

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<v Speaker 2>we ever seen a company then return after delisting and

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<v Speaker 2>come back to the good christage?

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<v Speaker 4>I mean, companies do get delisted. Super Micro itself has

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<v Speaker 4>previously been delisted and come back onto the exchange. So yes,

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<v Speaker 4>that's certainly something that happens. I don't know of an

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<v Speaker 4>instance where a company has done it twice, but yeah,

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<v Speaker 4>it is is definitely something that happens.

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<v Speaker 3>We'll have to look.

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<v Speaker 5>Into that match the Yeah, no, actually I was just

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<v Speaker 5>starting to look into it. I'm like typing away and

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<v Speaker 5>doing some research over here. One of the things I

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<v Speaker 5>did is pull up SPLC, which is one of my

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<v Speaker 5>favorite functions on the terminal for a company like this especially,

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<v Speaker 5>It shows you the supply chain and you can see

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<v Speaker 5>their biggest suppliers and VideA right at the top of

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<v Speaker 5>that list.

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<v Speaker 6>Their biggest customers.

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<v Speaker 5>I note Big Blue is one of those which you know,

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<v Speaker 5>back in my day, IBM was the most reputable tech company.

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<v Speaker 5>Obviously it's dropped a little bit in terms of, uh,

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<v Speaker 5>you know, it's size and weight, but still is a

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<v Speaker 5>company that people know and certainly trust SMCI, I guess

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<v Speaker 5>their earnings hasn't really been slowed down by the change

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<v Speaker 5>from EY to bdo not.

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<v Speaker 4>I think it's too early to really say so. They

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<v Speaker 4>did maybe a few weeks ago at this point, give

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<v Speaker 4>sort of an update.

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<v Speaker 3>They called it a business update.

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<v Speaker 4>It was essentially an earnings report, and they gave I

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<v Speaker 4>think a little bit of a weaker forecast than people

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<v Speaker 4>had expected. So shares were actually sort of under pressure

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<v Speaker 4>from that. If I remember correctly, I.

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<v Speaker 5>Should say the revenue has just been soaring, right you

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<v Speaker 5>look back at twenty twenty, they were making like three

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<v Speaker 5>billion in revenue, and now we're talking about twenty.

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<v Speaker 6>Five, just five years, four years later.

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<v Speaker 5>Carmen, great having it here with us, Thanks so much

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<v Speaker 5>for joining us in the Bloomberg Business Week studio. Carmen

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<v Speaker 5>Ryanicky there from our print team. Matt Miller here with

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<v Speaker 5>Emily Graffeo filling in for Tim and Carroll on this Friday.

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<v Speaker 5>We'll be back in just a moment with the CFO

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<v Speaker 5>of Home Depot.

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<v Speaker 6>This is Bloomberg.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 1>live weekday afternoons from two to five pm Eastern. Listen

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<v Speaker 5>Matt Miller here in the Bloomberg BusinessWeek studio with Emily Graffeo,

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<v Speaker 5>and we have a special guest. As I said, the

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<v Speaker 5>CFO of Home Depot joins us, Richard McPhail as well

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<v Speaker 5>as Nina Trentman. She runs the Bloomberg CFO briefing. So

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<v Speaker 5>it's great to have both of you with us. And

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<v Speaker 5>I guess I'll just kick it off with one to

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<v Speaker 5>Richard as we kind of gauge the strength of the

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<v Speaker 5>US consumer and the housing market. You're in a perfect

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<v Speaker 5>position to give us an outlook on both. How do

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<v Speaker 5>we look, you know, four days ahead of Black Friday.

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<v Speaker 7>Well, Matt and Emily, Nina, thank you for having me.

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<v Speaker 2>So.

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<v Speaker 8>Look, as we've said now for the last year or two,

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<v Speaker 8>the US consumer remains healthy and strong and engaged in

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<v Speaker 8>him improvement. We had a third quarter that just ended

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<v Speaker 8>in October where we actually saw performance better than expected.

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<v Speaker 8>Now we attribute most of that to the fact that

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<v Speaker 8>weather was exceptional across the country. We also had some

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<v Speaker 8>impact from hurricanes obviously, but you know.

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<v Speaker 7>It's a good sign when the sun is out.

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<v Speaker 9>Our customers are engaged and outdoors doing projects.

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<v Speaker 7>So we think we think the customer mindset is healthy now.

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<v Speaker 9>You know, you ask about the state of housing, there

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<v Speaker 9>is some interplay here with home improvement.

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<v Speaker 7>You know, if you think about the.

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<v Speaker 9>Last five years, since twenty nineteen, we've seen unprecedented increases

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<v Speaker 9>in home values and home equity. Home values up right

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<v Speaker 9>around fifty percent since twenty nineteen, home equity positions up

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<v Speaker 9>or right around eighty percent, and so you've seen unprecedented

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<v Speaker 9>wealth creation.

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<v Speaker 7>And what's interesting about that is typically that.

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<v Speaker 9>Drives human improvement demand and hume improvement spend as homeowners

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<v Speaker 9>invest in their homes. What our customers tell us though,

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<v Speaker 9>is that the interest rate and environment is still sticky.

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<v Speaker 9>You know, we actually saw mortgage rates increase since the

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<v Speaker 9>September FED meeting, So that's led to a dis incentive

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<v Speaker 9>for folks to move and.

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<v Speaker 7>Do projects that are oriented with moving.

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<v Speaker 9>And if you think about those larger remodeling projects that

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<v Speaker 9>are oftentimes financed by debt drawn against home equity positions,

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<v Speaker 9>our customers tell us, while those rates are decreasing slightly,

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<v Speaker 9>they're still around eight and four to eight and a

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<v Speaker 9>half percent, and so they're saying, look, we're just gonna

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<v Speaker 9>we're deferring large projects for the moment until.

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<v Speaker 7>We see what happens with rates.

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<v Speaker 9>So you have a healthy customer with a deferral mindset

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<v Speaker 9>when it comes to larger projects.

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<v Speaker 10>Richard, maybe I can follow up on that. During our interview,

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<v Speaker 10>we also talked about the impact of your business potentially

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<v Speaker 10>simming from to as the new administration comes in next year.

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<v Speaker 10>Talk to us a little bit about that, how you

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<v Speaker 10>navigated that in twenty nineteen, and also how are you

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<v Speaker 10>thinking about that going into next year.

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<v Speaker 7>Sure, well, first, it's too early to speculate.

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<v Speaker 8>On what the administration might might be thinking here, So

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<v Speaker 8>we don't want to speculate in particulars. In twenty seventeen,

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<v Speaker 8>we saw tariffs of significant degree in certain classes of goods.

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<v Speaker 7>There were some.

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<v Speaker 9>Appliances classes that saw tariff supworbs of twenty five percent. Look,

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<v Speaker 9>that's something that we sit down with our supplier base

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<v Speaker 9>and work through it. And so we've got a lot

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<v Speaker 9>of experience in this and we are ready for whatever

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<v Speaker 9>inner environment we're going to be operating in.

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<v Speaker 7>Again, too early.

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<v Speaker 9>To speculate, but you know, we feel like if there's

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<v Speaker 9>anybody who can manage through this weekend and you know,

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<v Speaker 9>unique to the home deeper, perhaps over half of our

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<v Speaker 9>products are actually manufacturer in the.

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<v Speaker 7>United States, and so if you think about the kind

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<v Speaker 7>of the.

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<v Speaker 9>Less than half that is manufactured or sourced from foreign countries,

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<v Speaker 9>we've been diversifying our countries of origin really for the

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<v Speaker 9>last fifteen years. We're in a different position than we

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<v Speaker 9>were in twenty seventeen in respect to diversification. That's something

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<v Speaker 9>we're going to continue.

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<v Speaker 2>So, Richard, I'm wondering what is the strategy to grow

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<v Speaker 2>the business right now when we're in an environment where

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<v Speaker 2>home sales are at the lowest level in over a decade,

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<v Speaker 2>how does home Depot kind of combat that?

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<v Speaker 8>Well, you know, Emily, there's so much improvement we can

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<v Speaker 8>make in our current model. We have the fifth largest

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<v Speaker 8>e commerce business in the United States, even though folks don't.

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<v Speaker 9>Normally think about that, but the uniqueness of that business

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<v Speaker 9>is it is interconnected with our stores. Virtually all of

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<v Speaker 9>our customers who shop online shop in our stores as well.

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<v Speaker 9>But there still there are too many points of friction

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<v Speaker 9>when you think about customer returns, order modifications, and the

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<v Speaker 9>delivery experience. We're making huge gains and taking friction out

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<v Speaker 9>of the process for our customer, but we're nowhere near

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<v Speaker 9>where we want to be. We know if we begin

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<v Speaker 9>to delight customers more, that absolutely translates into higher sales.

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<v Speaker 9>Another huge opportunity for the home depot is what the

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<v Speaker 9>professional contractor. Roughly half of our sales are come from

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<v Speaker 9>that professional contractor who's working on behalf of the homeowner.

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<v Speaker 9>We've made significant investments in an ecosystem to really drive

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<v Speaker 9>into that larger remodel and so while the market is

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<v Speaker 9>solvedware remodeling, our ability to capture market share really shouldn't

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<v Speaker 9>depend on what the external environment is.

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<v Speaker 7>We've invested in a.

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<v Speaker 9>Digital experience, in rolling out a salesforce across the nation,

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<v Speaker 9>and filment assets and capabilities, networks of platbed distribution centers

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<v Speaker 9>that will be in seventeen markets this year where we

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<v Speaker 9>can get products straight to the job site, not even

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<v Speaker 9>touching the store, straight to the job site same day,

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<v Speaker 9>next day. And the uniqueness of Home Depot is, while

0:12:17.880 --> 0:12:20.280
<v Speaker 9>there are plenty of companies serving the pro like that,

0:12:20.679 --> 0:12:23.040
<v Speaker 9>we're the only one who can serve them across all

0:12:23.120 --> 0:12:27.240
<v Speaker 9>product categories, so we can simplify the pros lives and

0:12:27.520 --> 0:12:30.199
<v Speaker 9>they turn to us because they know that they can

0:12:30.200 --> 0:12:33.680
<v Speaker 9>rely on us. And I should say, actually, and one

0:12:33.679 --> 0:12:35.400
<v Speaker 9>thing that I think is unique to the Home Depot,

0:12:35.880 --> 0:12:38.000
<v Speaker 9>you know, we're building stores again.

0:12:38.920 --> 0:12:42.280
<v Speaker 8>We really stopped in any material sense building stores in

0:12:42.320 --> 0:12:45.760
<v Speaker 8>two thousand and eight. In twenty twenty three, we announced

0:12:45.760 --> 0:12:49.199
<v Speaker 8>an eighty store build that will roll out over five years.

0:12:49.240 --> 0:12:49.880
<v Speaker 7>By the end of this.

0:12:49.920 --> 0:12:53.120
<v Speaker 9>Year, we will have built twenty five of those new stores,

0:12:53.640 --> 0:12:56.200
<v Speaker 9>and we're so excited about what we're already seeing.

0:12:56.200 --> 0:12:58.280
<v Speaker 7>It's one of the best investments. We can actually make

0:12:58.320 --> 0:12:59.000
<v Speaker 7>it Home Depot.

0:12:59.320 --> 0:12:59.920
<v Speaker 6>All right, Richard.

0:13:00.080 --> 0:13:01.599
<v Speaker 5>Great to have a little bit of time with you,

0:13:01.640 --> 0:13:04.160
<v Speaker 5>and I hope we can get you back either here

0:13:04.200 --> 0:13:05.960
<v Speaker 5>on Bloomberg Business Week or you join me on my

0:13:06.040 --> 0:13:09.160
<v Speaker 5>show every day nine to eleven on Bloomberg Open Interest.

0:13:09.400 --> 0:13:12.760
<v Speaker 5>David McPhail there, the CFO of Home Depot. Sorry, need,

0:13:12.800 --> 0:13:14.239
<v Speaker 5>I'm kind of stealing your guests.

0:13:14.000 --> 0:13:15.880
<v Speaker 10>Yes here stealing my thunder you.

0:13:16.400 --> 0:13:18.120
<v Speaker 5>Well, you have a lot of it, so there's nothing

0:13:18.200 --> 0:13:21.120
<v Speaker 5>go around. You talked to a lot of important CFOs

0:13:21.200 --> 0:13:24.240
<v Speaker 5>for the CFO briefing, one of them recently CFO of

0:13:24.280 --> 0:13:27.160
<v Speaker 5>Saudi Ramco, and what did he have to say?

0:13:27.880 --> 0:13:30.200
<v Speaker 10>Yeah, so that was earlier this week in Boston. I

0:13:30.240 --> 0:13:33.400
<v Speaker 10>got to catch up with him there. We covered quite

0:13:33.440 --> 0:13:37.920
<v Speaker 10>a range of topics sort of ranging from their dividends, spending, debt,

0:13:37.960 --> 0:13:42.560
<v Speaker 10>financing plans CAPEX. So yeah, I was quite pleased to

0:13:42.640 --> 0:13:46.199
<v Speaker 10>secure that interview. Amongst the things that we talked about

0:13:46.400 --> 0:13:49.480
<v Speaker 10>was their plans to spend over one hundred and twenty

0:13:49.480 --> 0:13:51.920
<v Speaker 10>billion this year on dividends, which is of course a

0:13:51.960 --> 0:13:55.960
<v Speaker 10>mind boggling number. There is a lot of talk around

0:13:56.000 --> 0:13:58.560
<v Speaker 10>sort of how much Saudio Ramco will keep spending on

0:13:58.559 --> 0:14:02.559
<v Speaker 10>on dividends going forward. I think the main point there

0:14:02.640 --> 0:14:05.400
<v Speaker 10>is that they have a performance led portion of that dividend,

0:14:05.440 --> 0:14:12.040
<v Speaker 10>which they implemented in starting last year when basically they realized, Okay,

0:14:12.040 --> 0:14:15.400
<v Speaker 10>we're generating a lot of returns from high energy prices

0:14:15.440 --> 0:14:20.080
<v Speaker 10>following the invasion of Ukraine through Russia. This performance led

0:14:20.200 --> 0:14:23.480
<v Speaker 10>portion will be reset at the end of this year,

0:14:23.720 --> 0:14:26.720
<v Speaker 10>and the question is very much okay, well, what will

0:14:26.760 --> 0:14:30.080
<v Speaker 10>this company be spending on dividends going forward, because they

0:14:30.280 --> 0:14:33.520
<v Speaker 10>moved from having a lot of surplus cash into actually

0:14:33.520 --> 0:14:36.360
<v Speaker 10>moving into a debt position at the at the end

0:14:36.400 --> 0:14:38.720
<v Speaker 10>of the past quarter, and so there's been a lot

0:14:38.720 --> 0:14:41.400
<v Speaker 10>of questions around that that the CFO received.

0:14:41.720 --> 0:14:44.360
<v Speaker 5>Yeah, very interesting stuff, and I know he is an

0:14:44.480 --> 0:14:45.680
<v Speaker 5>MIT alarm.

0:14:45.800 --> 0:14:48.000
<v Speaker 6>He was there in Boston.

0:14:47.640 --> 0:14:50.840
<v Speaker 5>Giving a speech and some protesters made such a racket

0:14:50.840 --> 0:14:54.240
<v Speaker 5>that he actually had to leave the event and not

0:14:54.360 --> 0:14:56.440
<v Speaker 5>come back. You can see all of that and more

0:14:56.600 --> 0:14:58.560
<v Speaker 5>in Nina's CEO briefing.

0:15:00.160 --> 0:15:04.000
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:15:04.080 --> 0:15:07.280
<v Speaker 1>each weekday starting at two pm Eastern nott, applecar Play,

0:15:07.320 --> 0:15:10.160
<v Speaker 1>and Android Auto with the Bloomberg Business app. You can

0:15:10.200 --> 0:15:13.440
<v Speaker 1>also listen live on Amazon Alexa from our flagship New

0:15:13.520 --> 0:15:17.160
<v Speaker 1>York station. Just say Alexa playing Bloomberg eleven thirty.

0:15:18.560 --> 0:15:22.600
<v Speaker 5>All right, holiday season quickly approaching, and we want to

0:15:22.640 --> 0:15:25.560
<v Speaker 5>get our finger on the pulse of the consumer. To

0:15:25.600 --> 0:15:28.160
<v Speaker 5>do that, we go over to Katie Thomas. She's from

0:15:28.160 --> 0:15:31.120
<v Speaker 5>the Carney Consumer Institute. They've recently done a study of

0:15:31.560 --> 0:15:35.120
<v Speaker 5>fourteen thousand choppers. She joins us from Pittsburgh, in the

0:15:35.160 --> 0:15:38.640
<v Speaker 5>middle of America, where the normal people live. Katie, thanks

0:15:38.680 --> 0:15:41.640
<v Speaker 5>so much for joining us. How do the normal people

0:15:41.640 --> 0:15:42.400
<v Speaker 5>feel right now?

0:15:44.000 --> 0:15:46.680
<v Speaker 11>The normal people are actually feeling okay going into the

0:15:46.720 --> 0:15:51.000
<v Speaker 11>holiday season. There's a lot of optimism. Even talking to

0:15:51.080 --> 0:15:55.440
<v Speaker 11>folks post election, people are surprisingly willing to spend. They

0:15:55.480 --> 0:16:00.680
<v Speaker 11>say they're feeling better about the economy, or conversely, they're anticipating.

0:16:00.720 --> 0:16:04.720
<v Speaker 11>In some retail therapy, they're concerned teariff prices will drive

0:16:04.840 --> 0:16:08.320
<v Speaker 11>up the cost of electronics and other items. So I'm

0:16:08.360 --> 0:16:11.600
<v Speaker 11>anticipating a healthy holiday season, even though it's a little

0:16:11.640 --> 0:16:15.240
<v Speaker 11>bit shortened giving the late Thanksgiving timing. Like you guys said,

0:16:15.280 --> 0:16:17.960
<v Speaker 11>Black Friday sales have been going on for weeks already,

0:16:18.040 --> 0:16:20.040
<v Speaker 11>so I think we're gonna have a strong season.

0:16:20.480 --> 0:16:24.120
<v Speaker 2>And what are these consumers buying. Are they going to

0:16:24.160 --> 0:16:26.320
<v Speaker 2>the big ticket items or are they being a little

0:16:26.320 --> 0:16:29.200
<v Speaker 2>bit choosier and just finding maybe smaller luxuries.

0:16:30.360 --> 0:16:33.000
<v Speaker 11>Yeah, I think right now we're seeing people still feel

0:16:33.040 --> 0:16:35.840
<v Speaker 11>pretty thoughtful. I think we thought this in the last

0:16:35.880 --> 0:16:38.960
<v Speaker 11>couple of weeks with earnings, right Walmart coming through with

0:16:39.080 --> 0:16:42.000
<v Speaker 11>really strong price value. And that's what you're seeing with

0:16:42.120 --> 0:16:45.240
<v Speaker 11>consumers in general. And that starts to tie into some

0:16:45.280 --> 0:16:48.240
<v Speaker 11>of the work that we just wrapped up around tensions

0:16:48.240 --> 0:16:51.240
<v Speaker 11>consumers are facing. So you see them wanting to spend.

0:16:51.400 --> 0:16:54.120
<v Speaker 11>People love to spend around the holiday, but they do

0:16:54.160 --> 0:16:58.400
<v Speaker 11>still have these lingering concerns around how their wallet looks,

0:16:58.400 --> 0:17:01.280
<v Speaker 11>and they don't want to overspend and start the year

0:17:01.320 --> 0:17:02.200
<v Speaker 11>off on the wrong foot.

0:17:03.160 --> 0:17:03.400
<v Speaker 7>Yeah.

0:17:03.400 --> 0:17:05.760
<v Speaker 5>I don't love to spend around the holiday. I just

0:17:05.760 --> 0:17:07.639
<v Speaker 5>feel like I have no choice, right, I mean, you

0:17:07.720 --> 0:17:10.720
<v Speaker 5>got to buy people presents, you got to get plane tickets,

0:17:10.760 --> 0:17:14.680
<v Speaker 5>you got to hire more staff or whatever.

0:17:14.920 --> 0:17:17.000
<v Speaker 6>I mean, I don't have I don't know.

0:17:17.000 --> 0:17:18.200
<v Speaker 5>I'm just trying to think of the things that he

0:17:18.320 --> 0:17:20.720
<v Speaker 5>might want to be spending money on for the holidays.

0:17:22.000 --> 0:17:26.560
<v Speaker 5>Are people feeling like their wages have really kept up

0:17:26.600 --> 0:17:30.520
<v Speaker 5>with inflation, because it seems to me I get one

0:17:30.560 --> 0:17:33.439
<v Speaker 5>answer from one economist and a different answer from another.

0:17:33.600 --> 0:17:37.080
<v Speaker 5>So you know, how are we doing in terms of

0:17:37.160 --> 0:17:38.520
<v Speaker 5>keeping up with higher prices?

0:17:39.640 --> 0:17:42.160
<v Speaker 11>Yeah, I mean I think objectively speaking, when you look

0:17:42.200 --> 0:17:44.520
<v Speaker 11>at data rolled up, that is what you see, Matt,

0:17:44.560 --> 0:17:48.720
<v Speaker 11>that technically wages are outpaced inflation. But to your exact point,

0:17:48.800 --> 0:17:51.440
<v Speaker 11>we run some analytics with what we call the consumer

0:17:51.520 --> 0:17:55.320
<v Speaker 11>stress Index. We have seen a slow uptick in concerns

0:17:55.400 --> 0:17:58.840
<v Speaker 11>around cost of living as well as concerns about personal

0:17:58.960 --> 0:18:01.840
<v Speaker 11>job security, which is a little bit concerning, even though

0:18:01.880 --> 0:18:04.840
<v Speaker 11>you're not seeing that that much in the employment in

0:18:04.960 --> 0:18:08.720
<v Speaker 11>job growth numbers right now. People feeling concerned that if

0:18:08.760 --> 0:18:10.560
<v Speaker 11>they lost their job they might not be able to

0:18:10.600 --> 0:18:12.960
<v Speaker 11>find one, or that they could lose their job. That

0:18:13.040 --> 0:18:16.240
<v Speaker 11>could be something meaningful that drives kind of a pullback

0:18:16.280 --> 0:18:19.280
<v Speaker 11>and spend and a resistance to spend. But when it

0:18:19.280 --> 0:18:22.639
<v Speaker 11>comes specifically to the holidays, people do typically like to

0:18:22.680 --> 0:18:27.040
<v Speaker 11>spend on gifts and on gifts for themselves, and then

0:18:27.080 --> 0:18:29.000
<v Speaker 11>what you'll see is a bit of a slowdown in

0:18:29.040 --> 0:18:29.520
<v Speaker 11>the new year.

0:18:30.480 --> 0:18:33.440
<v Speaker 2>You mentioned demographics in the notes that you sent over,

0:18:33.520 --> 0:18:36.240
<v Speaker 2>and I'm wondering what your research is showing about just

0:18:36.280 --> 0:18:40.080
<v Speaker 2>how different different demographics are spending and how they act

0:18:40.119 --> 0:18:44.520
<v Speaker 2>as a consumer. I imagine the gen zs are getting

0:18:44.520 --> 0:18:48.480
<v Speaker 2>a lot of their favorite brands from TikTok and social media,

0:18:48.520 --> 0:18:50.840
<v Speaker 2>and I'm wondering if that kind of spans across all ages.

0:18:50.880 --> 0:18:53.560
<v Speaker 3>Now, you know, we're.

0:18:53.440 --> 0:18:55.800
<v Speaker 11>Certainly seeing a pick up there. One of the things

0:18:55.800 --> 0:18:57.960
<v Speaker 11>we see though, is it's hard to slice just by

0:18:58.000 --> 0:19:02.440
<v Speaker 11>demographics alone. So we ask consumers in our work. For instance,

0:19:02.480 --> 0:19:05.840
<v Speaker 11>one question is are you living paycheck to paycheck? And

0:19:05.880 --> 0:19:08.879
<v Speaker 11>we you know, like two out of three consumers actually

0:19:08.920 --> 0:19:11.520
<v Speaker 11>say yes. It's self reported, so that could mean a

0:19:11.560 --> 0:19:13.919
<v Speaker 11>lot of different things, but we well, we split that

0:19:14.000 --> 0:19:17.080
<v Speaker 11>into paycheck to paycheck and then living within means we

0:19:17.119 --> 0:19:19.720
<v Speaker 11>actually see a lot more similarities there in terms of

0:19:19.800 --> 0:19:23.760
<v Speaker 11>behaviors and stressors than if we cut by just income alone.

0:19:23.920 --> 0:19:26.159
<v Speaker 11>So we are seeing people kind of you know, it

0:19:26.240 --> 0:19:30.360
<v Speaker 11>depends a little bit on more of those attitudinal psychographics,

0:19:30.359 --> 0:19:33.280
<v Speaker 11>so not necessarily gen Z on TikTok, but just your

0:19:33.480 --> 0:19:36.679
<v Speaker 11>likelihood to be engaging on a social media platform.

0:19:37.520 --> 0:19:37.720
<v Speaker 2>Matt.

0:19:37.800 --> 0:19:40.280
<v Speaker 11>To your point at the top, there are folks across

0:19:40.320 --> 0:19:42.760
<v Speaker 11>the country who are who are not all that engage

0:19:42.920 --> 0:19:44.800
<v Speaker 11>or all that online, as some of the rest of

0:19:44.880 --> 0:19:47.719
<v Speaker 11>us are, So it really kind of depends on what

0:19:47.760 --> 0:19:49.320
<v Speaker 11>your media consumption looks like.

0:19:49.920 --> 0:19:52.560
<v Speaker 6>Oh, they're so lucky, you know what.

0:19:52.960 --> 0:19:59.560
<v Speaker 5>Speaking of psychographic I noticed this sentence in the survey packet,

0:19:59.720 --> 0:20:02.840
<v Speaker 5>just time for the holidays. This nuanced meta economic and

0:20:02.880 --> 0:20:06.159
<v Speaker 5>psychographic view is based on a unique set of macroeconomic

0:20:06.240 --> 0:20:09.080
<v Speaker 5>data and proprietary CASEI research. Are you sure you're in

0:20:09.119 --> 0:20:13.480
<v Speaker 5>Pittsburgh because I don't know what that Those.

0:20:13.119 --> 0:20:15.280
<v Speaker 11>Are the notes I sent over, So I'm gonna have

0:20:15.359 --> 0:20:18.399
<v Speaker 11>to That's a lot of a bit of a word

0:20:18.520 --> 0:20:19.400
<v Speaker 11>salad there, matt.

0:20:19.480 --> 0:20:21.840
<v Speaker 5>But I think, what do you mean when you say psychographic?

0:20:22.960 --> 0:20:25.879
<v Speaker 11>Well, it is it's just really capturing the lifestyle of

0:20:25.920 --> 0:20:29.080
<v Speaker 11>a consumer. So this research was really grounded and the

0:20:29.160 --> 0:20:33.359
<v Speaker 11>fact that consumers have continued to see this proliferation of choice.

0:20:33.359 --> 0:20:35.760
<v Speaker 11>You guys were actually talking about it with the mattresses.

0:20:35.960 --> 0:20:38.960
<v Speaker 11>We have more options than ever, more access to information

0:20:39.119 --> 0:20:41.480
<v Speaker 11>than ever. And then we tend to get lost in

0:20:41.520 --> 0:20:46.000
<v Speaker 11>this narrative that consumers are increasingly demanding more and more options,

0:20:46.040 --> 0:20:49.800
<v Speaker 11>when in fact, in most categories, consumers are overwhelmed by

0:20:49.840 --> 0:20:52.760
<v Speaker 11>what's out there, are simply satisfied. They don't feel like

0:20:52.840 --> 0:20:57.040
<v Speaker 11>they need this constant influx of options, so the psychographics

0:20:57.040 --> 0:20:59.800
<v Speaker 11>there will really gets It's the devils in the details.

0:20:59.800 --> 0:21:03.480
<v Speaker 11>We have to understand the push pull dynamic that's happening

0:21:03.480 --> 0:21:06.920
<v Speaker 11>there within consumers, in between consumers and brands.

0:21:07.240 --> 0:21:10.080
<v Speaker 2>So how does the how does a brand kind of

0:21:10.119 --> 0:21:14.040
<v Speaker 2>build success off of that? Because I mean, yeah, the mattresses.

0:21:14.320 --> 0:21:16.639
<v Speaker 2>Ultimately it came down to there was a mac, there

0:21:16.640 --> 0:21:19.280
<v Speaker 2>was an avocado store around where I was. I laid

0:21:19.280 --> 0:21:20.520
<v Speaker 2>on the mattress. I was like, this is good. I

0:21:20.560 --> 0:21:22.440
<v Speaker 2>don't want to think about this anymore because there are

0:21:22.480 --> 0:21:25.160
<v Speaker 2>so many options. So how does a brand figure out

0:21:25.520 --> 0:21:26.880
<v Speaker 2>how to stand out?

0:21:27.480 --> 0:21:30.240
<v Speaker 11>Yeah, well, Emily, I think it's just that. So it's thinking.

0:21:30.280 --> 0:21:33.120
<v Speaker 11>We we like to sometimes call it relevant choice rather

0:21:33.200 --> 0:21:37.080
<v Speaker 11>than more or less choice. It comes down to portfolio strategy,

0:21:37.200 --> 0:21:40.960
<v Speaker 11>growth strategy, innovation planning, and like if brands are really

0:21:41.000 --> 0:21:43.640
<v Speaker 11>innovating for the right reason. So you think, for instance

0:21:43.640 --> 0:21:47.480
<v Speaker 11>of grocery, sometimes innovation happens simply so they can hold

0:21:47.480 --> 0:21:50.040
<v Speaker 11>the place on shelf. When you think of you know,

0:21:50.119 --> 0:21:52.600
<v Speaker 11>any kind of mall retailer, it's just like a classic

0:21:52.680 --> 0:21:56.560
<v Speaker 11>merchandising calendar and just this continued churn or perhaps sometimes

0:21:56.600 --> 0:21:59.840
<v Speaker 11>it's in response to competition. It's really starting to ask

0:22:00.040 --> 0:22:03.639
<v Speaker 11>upper questions there. Do we need these additional options? Do

0:22:03.680 --> 0:22:07.520
<v Speaker 11>we need to cause more confusion? Do we really like

0:22:07.640 --> 0:22:10.919
<v Speaker 11>for instance, yogurt. Yogurt has over three hundred skews on

0:22:11.000 --> 0:22:14.520
<v Speaker 11>most shelves, but the most popular flavors have been the

0:22:14.560 --> 0:22:18.120
<v Speaker 11>same five for the last like fifty years. So even

0:22:18.160 --> 0:22:21.240
<v Speaker 11>though some new flavors are nice, it's just really finding

0:22:21.280 --> 0:22:22.160
<v Speaker 11>the right balance.

0:22:22.800 --> 0:22:25.800
<v Speaker 5>Key Lime Pie, that's one of those five, right, That

0:22:25.880 --> 0:22:26.560
<v Speaker 5>one's Tom.

0:22:26.600 --> 0:22:27.200
<v Speaker 3>I'm not sure.

0:22:28.520 --> 0:22:30.920
<v Speaker 5>Katie, Thanks so much for joining us. Always the pleasure

0:22:31.359 --> 0:22:33.399
<v Speaker 5>talking to you and hearing from the Carney consumer, and too,

0:22:33.520 --> 0:22:36.399
<v Speaker 5>Katie Thomas there out of Pittsburgh talking to us about

0:22:36.880 --> 0:22:39.960
<v Speaker 5>how consumers in the US are feeling this holiday season.

0:22:40.720 --> 0:22:42.720
<v Speaker 5>Avocado is a brand I had.

0:22:42.640 --> 0:22:43.840
<v Speaker 6>Never heard of before.

0:22:44.000 --> 0:22:47.320
<v Speaker 5>I thought I was being pretty new and you know,

0:22:47.800 --> 0:22:50.520
<v Speaker 5>young and fashionable with Satfa, But what is Avocado?

0:22:50.800 --> 0:22:54.080
<v Speaker 2>I actually hadn't heard of it either, But I was

0:22:54.080 --> 0:22:57.800
<v Speaker 2>in Williamsburg and they had a store. You're gonna you're

0:22:57.800 --> 0:23:01.040
<v Speaker 2>gonna hate this, so they had kombucha and cold brew

0:23:01.280 --> 0:23:05.080
<v Speaker 2>on tap complimentary for the customers.

0:23:05.160 --> 0:23:08.720
<v Speaker 5>It almost seems like it's a joke, like in Williamsburg

0:23:08.800 --> 0:23:12.280
<v Speaker 5>there's a mattress vendor called Avocado that has kombucha and

0:23:12.320 --> 0:23:13.320
<v Speaker 5>cold brew in the store.

0:23:13.520 --> 0:23:16.600
<v Speaker 2>Their their pitch. I don't know that much about the mattress,

0:23:16.600 --> 0:23:18.760
<v Speaker 2>but I ultimately bought it again because I laid on it.

0:23:18.760 --> 0:23:20.800
<v Speaker 2>It was comfortable. I needed a mattress. I didn't want

0:23:20.840 --> 0:23:22.600
<v Speaker 2>to think about it. But they have a green pitch

0:23:22.640 --> 0:23:24.919
<v Speaker 2>as well. They talk about like how their mattress is

0:23:24.960 --> 0:23:26.280
<v Speaker 2>more environmentally.

0:23:25.720 --> 0:23:26.760
<v Speaker 6>It's so sustainable.

0:23:27.080 --> 0:23:29.400
<v Speaker 5>Yeah, that's good, so you feel good about yourself as

0:23:29.400 --> 0:23:30.360
<v Speaker 5>you're sleeping on it.

0:23:30.640 --> 0:23:34.880
<v Speaker 2>I again, that pitch didn't allurd me in as much

0:23:34.880 --> 0:23:36.760
<v Speaker 2>as just I need a mattress and this is.

0:23:36.760 --> 0:23:39.720
<v Speaker 6>Here all right. I need some tires.

0:23:40.240 --> 0:23:45.119
<v Speaker 5>So if you see anybody with Continental Extreme Contact DSW

0:23:45.359 --> 0:23:48.800
<v Speaker 5>six plus tires on sale, I need to set it

0:23:48.840 --> 0:23:52.040
<v Speaker 5>for those for my Dodge Challenger, which is not at

0:23:52.040 --> 0:23:53.240
<v Speaker 5>all sustainable.

0:23:53.320 --> 0:23:55.720
<v Speaker 2>I don't think they have kob four Leader.

0:23:55.600 --> 0:23:59.840
<v Speaker 6>V eight No, definitely, definitely not just cold black coffee.

0:24:00.080 --> 0:24:01.600
<v Speaker 5>When we come back, we'll talk to Jenny Rook from

0:24:01.640 --> 0:24:06.399
<v Speaker 5>the Genoa Ventures firm about strategies for investing in early stage,

0:24:06.440 --> 0:24:08.520
<v Speaker 5>high growth companies.

0:24:09.440 --> 0:24:13.280
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Listen live

0:24:13.400 --> 0:24:16.600
<v Speaker 1>each weekday starting at two pm Eastern on applecar Play

0:24:16.600 --> 0:24:19.480
<v Speaker 1>and Android Auto with the Bloomberg Business Ad. You can

0:24:19.520 --> 0:24:22.720
<v Speaker 1>also listen live on Amazon Alexa from our flagship New

0:24:22.800 --> 0:24:26.440
<v Speaker 1>York station, Just say Alexa Play Bloomberg eleven thirty.

0:24:27.800 --> 0:24:31.120
<v Speaker 2>We're joining now by Jenny Rook, founder and managing director

0:24:31.160 --> 0:24:34.639
<v Speaker 2>of Genoa Venture. She's here in the Bloomberg Interactive Brokers studio,

0:24:34.760 --> 0:24:38.000
<v Speaker 2>usually in San Francisco, but here today in New York.

0:24:38.400 --> 0:24:41.840
<v Speaker 2>Before we get to the companies and the investments that

0:24:41.840 --> 0:24:46.240
<v Speaker 2>you're doing right now, because Genoa focuses on biotech and healthcare,

0:24:46.520 --> 0:24:47.600
<v Speaker 2>what's your background.

0:24:48.000 --> 0:24:51.480
<v Speaker 12>Ah, I'm a scientist at heart. I was studying physics

0:24:51.480 --> 0:24:53.840
<v Speaker 12>and software engineering when I fell in love with genetics,

0:24:54.119 --> 0:24:56.840
<v Speaker 12>went and got my PhD there, and so I really

0:24:56.960 --> 0:24:59.680
<v Speaker 12>am excited about how those things are coming together. Let's

0:24:59.680 --> 0:25:01.920
<v Speaker 12>technicalologies in biology, and then have spent.

0:25:01.760 --> 0:25:03.320
<v Speaker 3>A career trying to figure out how to put that

0:25:03.400 --> 0:25:03.800
<v Speaker 3>to work.

0:25:04.760 --> 0:25:05.320
<v Speaker 6>All right, So.

0:25:07.080 --> 0:25:09.040
<v Speaker 5>Wall Street, I guess, is the one place that you

0:25:09.080 --> 0:25:11.640
<v Speaker 5>could go to try and put that to work. Did

0:25:11.640 --> 0:25:13.640
<v Speaker 5>you hit that street before sand Hill Road?

0:25:14.400 --> 0:25:18.159
<v Speaker 12>It's not really no, I kind of I walked through first.

0:25:18.920 --> 0:25:21.680
<v Speaker 12>I guess my closest path to Wall Street was really

0:25:21.680 --> 0:25:24.000
<v Speaker 12>consulting to very large pharma companies.

0:25:24.000 --> 0:25:25.200
<v Speaker 3>I spent some time at McKinsey.

0:25:25.560 --> 0:25:27.919
<v Speaker 12>It was a great way to get familiar with what

0:25:27.960 --> 0:25:31.560
<v Speaker 12>the big strategy questions were to the companies that matter

0:25:31.640 --> 0:25:34.359
<v Speaker 12>to Wall Street. And so that's great perspective in working

0:25:34.359 --> 0:25:37.040
<v Speaker 12>with startups to think about how they're going to bring

0:25:37.080 --> 0:25:39.120
<v Speaker 12>innovation to Wall Street eventually.

0:25:39.600 --> 0:25:44.560
<v Speaker 5>And is there a more specific theme than biotech healthcare?

0:25:44.600 --> 0:25:47.200
<v Speaker 5>I mean, I note that you funded, for example, two

0:25:47.320 --> 0:25:50.160
<v Speaker 5>female Nobel Laureates so far.

0:25:50.240 --> 0:25:54.359
<v Speaker 12>Yeah, we're trying to keep funding the great Nobel laureates.

0:25:54.160 --> 0:25:56.520
<v Speaker 12>Keep keep more one per fund is my goal.

0:25:56.640 --> 0:25:58.960
<v Speaker 5>But the reason I think it's interesting is that I know,

0:26:01.000 --> 0:26:05.520
<v Speaker 5>crazy small figure like only two percent of total VC funding.

0:26:05.200 --> 0:26:05.840
<v Speaker 6>Goes to women.

0:26:06.000 --> 0:26:09.800
<v Speaker 5>So the fact that you've funded too already puts you

0:26:09.840 --> 0:26:10.480
<v Speaker 5>kind of head.

0:26:10.280 --> 0:26:11.400
<v Speaker 6>Of the pack by far.

0:26:11.520 --> 0:26:13.000
<v Speaker 3>I think, yes, I'm proud of that.

0:26:13.240 --> 0:26:14.959
<v Speaker 12>I think it comes down to you just looking at

0:26:14.960 --> 0:26:18.840
<v Speaker 12>the fundamentals and really asking what are the needs in

0:26:18.920 --> 0:26:21.960
<v Speaker 12>healthcare and beyond, and how do the innovations that are

0:26:21.960 --> 0:26:25.080
<v Speaker 12>happening in the laboratory address those needs and really understanding

0:26:25.119 --> 0:26:26.720
<v Speaker 12>what's happening at the fundamental level.

0:26:26.880 --> 0:26:28.920
<v Speaker 2>Okay, so tell us about some of the companies right

0:26:28.960 --> 0:26:31.680
<v Speaker 2>now that you're invested in that you're currently excited about.

0:26:31.800 --> 0:26:32.000
<v Speaker 11>Yeah.

0:26:32.000 --> 0:26:34.800
<v Speaker 12>Well, so we're excited at companies that are bringing together

0:26:34.840 --> 0:26:38.600
<v Speaker 12>biology and technology in untraditional ways. And so often they

0:26:39.200 --> 0:26:43.000
<v Speaker 12>bring together founders who some might be coming from healthcare,

0:26:43.040 --> 0:26:46.240
<v Speaker 12>but you might have a collaborator coming from electrical engineering

0:26:46.320 --> 0:26:49.320
<v Speaker 12>or data science. Is really mushing those together in new ways.

0:26:49.840 --> 0:26:53.280
<v Speaker 12>A great example is a company called Epitel. They are

0:26:54.040 --> 0:26:57.560
<v Speaker 12>really bringing innovations to how we detect and monitor seizures.

0:26:58.080 --> 0:27:00.959
<v Speaker 12>If you've ever seen anyone try to get an EEG

0:27:01.160 --> 0:27:03.119
<v Speaker 12>with a bunch of wires and leads coming off of

0:27:03.160 --> 0:27:05.560
<v Speaker 12>their heads, it's a little bit difficult to bring that

0:27:05.640 --> 0:27:08.840
<v Speaker 12>into people's everyday lives. So what Epatel is doing is

0:27:08.880 --> 0:27:14.280
<v Speaker 12>making a small wearable version of a detector that patients

0:27:14.600 --> 0:27:17.560
<v Speaker 12>can wear in the hospital, moving around even in their

0:27:17.600 --> 0:27:21.119
<v Speaker 12>home eventually, which really changes how we can help those people.

0:27:21.480 --> 0:27:24.960
<v Speaker 5>So you can monitor I'm guessing that comes from epilepsypel,

0:27:25.080 --> 0:27:28.040
<v Speaker 5>and you can monitor what how often the seizures are,

0:27:28.119 --> 0:27:31.080
<v Speaker 5>how serious they are when they occur, and so on

0:27:31.119 --> 0:27:31.680
<v Speaker 5>and so forth.

0:27:31.720 --> 0:27:34.720
<v Speaker 6>And try and help those people live better lives.

0:27:34.840 --> 0:27:37.199
<v Speaker 12>Yeah, And I think it's an extension of things that

0:27:37.240 --> 0:27:40.080
<v Speaker 12>we all know well, which is continuous monitoring, whether you've

0:27:40.080 --> 0:27:44.240
<v Speaker 12>got an iPhone or an Apple watch or an oral ring.

0:27:44.400 --> 0:27:47.120
<v Speaker 12>Like these ideas of the more data you can connect

0:27:47.200 --> 0:27:50.560
<v Speaker 12>collect continuously for a person, the more information you can

0:27:50.560 --> 0:27:52.280
<v Speaker 12>give people to make better choices.

0:27:52.760 --> 0:27:56.560
<v Speaker 2>I'm thinking about an or ring for Christmas, you're considering. Yeah,

0:27:56.600 --> 0:27:58.160
<v Speaker 2>Just as an aside, my wife.

0:27:58.000 --> 0:28:01.880
<v Speaker 5>Loves her or ring and constantly tells me when it's

0:28:01.920 --> 0:28:03.919
<v Speaker 5>my turn to take care of the kids because she

0:28:04.119 --> 0:28:05.080
<v Speaker 5>hasn't gotten.

0:28:06.520 --> 0:28:09.480
<v Speaker 3>Better choices for everyone driven by better data.

0:28:10.040 --> 0:28:12.399
<v Speaker 6>AI is a theme that we've all been focused on

0:28:12.440 --> 0:28:12.760
<v Speaker 6>as well.

0:28:12.800 --> 0:28:18.200
<v Speaker 5>I know Emily recently was at a conference and talking

0:28:18.200 --> 0:28:21.040
<v Speaker 5>about VC. I was recently at a conference talking about AI,

0:28:22.000 --> 0:28:26.600
<v Speaker 5>and you're I guess investing in AI as well. I

0:28:26.640 --> 0:28:30.520
<v Speaker 5>see it mentioned for Symbiosis, which is a company that

0:28:30.600 --> 0:28:34.880
<v Speaker 5>you've invested in. What a treatment support a tool for

0:28:35.080 --> 0:28:35.960
<v Speaker 5>even with breast cancer.

0:28:36.160 --> 0:28:39.680
<v Speaker 12>The category is called clinical decision support. It's providing clinicians

0:28:39.720 --> 0:28:44.680
<v Speaker 12>for physicians better tools to make better decisions for patients

0:28:44.680 --> 0:28:47.480
<v Speaker 12>and patient care. And that's more and more important these days.

0:28:47.480 --> 0:28:50.040
<v Speaker 12>When we have a profusion of different types of say

0:28:50.120 --> 0:28:52.800
<v Speaker 12>drugs and interventions, how do you make the best decision

0:28:52.920 --> 0:28:56.520
<v Speaker 12>for each person with more and more information? And so

0:28:56.680 --> 0:28:59.080
<v Speaker 12>the AI is a way too, as you know, from

0:28:59.080 --> 0:29:03.200
<v Speaker 12>other fields, different kinds of information of different sorts and

0:29:03.280 --> 0:29:07.480
<v Speaker 12>sources into a single unified view. And so that's increasingly

0:29:07.520 --> 0:29:09.040
<v Speaker 12>important to patient care as well.

0:29:09.800 --> 0:29:14.320
<v Speaker 2>How are you seeing AI being used in healthcare? Is

0:29:14.320 --> 0:29:18.920
<v Speaker 2>it more just a tool to help professionals, because I

0:29:18.960 --> 0:29:20.720
<v Speaker 2>have to I went to a doctor and there was

0:29:20.760 --> 0:29:24.560
<v Speaker 2>an AI, Like I guess it wasn't a robot, but

0:29:24.600 --> 0:29:26.680
<v Speaker 2>it was a phone that he held up and it

0:29:26.720 --> 0:29:29.560
<v Speaker 2>was taking notes. But I've also heard about, you know,

0:29:29.600 --> 0:29:32.800
<v Speaker 2>AI being used as a diagnostic tool reading MRI images.

0:29:33.120 --> 0:29:35.040
<v Speaker 2>What are some of the surprising ways that AI is

0:29:35.080 --> 0:29:37.560
<v Speaker 2>being applied into healthcare that excite you?

0:29:37.760 --> 0:29:40.400
<v Speaker 12>Well, so you gave some great examples, and so that's

0:29:40.440 --> 0:29:43.560
<v Speaker 12>at the delivery of healthcare in but way up at

0:29:43.560 --> 0:29:48.000
<v Speaker 12>the beginning where scientists are looking for new insights, AI

0:29:48.200 --> 0:29:51.240
<v Speaker 12>is helping them in a similar way, pull together a

0:29:51.240 --> 0:29:54.560
<v Speaker 12>bunch of different information about the science they're studying, come

0:29:54.640 --> 0:29:56.880
<v Speaker 12>up with new insights and ask the next question. So

0:29:56.920 --> 0:30:00.840
<v Speaker 12>it's accelerating the pace of basic research that gives rise

0:30:00.880 --> 0:30:03.600
<v Speaker 12>to all these innovations that eventually show up in the

0:30:04.000 --> 0:30:04.719
<v Speaker 12>healthcare setting.

0:30:04.920 --> 0:30:08.280
<v Speaker 5>So going through basically mountains of data that would take

0:30:08.400 --> 0:30:13.120
<v Speaker 5>you and your team probably months or years, and AI

0:30:13.320 --> 0:30:15.600
<v Speaker 5>can do that in a matter of hours or days.

0:30:15.680 --> 0:30:17.720
<v Speaker 12>Yeah, And it's bringing all that together in a way

0:30:17.760 --> 0:30:21.200
<v Speaker 12>and helping us visualize it also in ways that our novels,

0:30:21.240 --> 0:30:23.040
<v Speaker 12>so you can kind of poke and prod at it

0:30:23.040 --> 0:30:25.520
<v Speaker 12>from different directions and come up with new insights, which

0:30:25.520 --> 0:30:27.120
<v Speaker 12>is what's so critical for science.

0:30:27.200 --> 0:30:31.840
<v Speaker 5>So when you find these companies or these founders and

0:30:32.400 --> 0:30:36.080
<v Speaker 5>decide that you want to invest in them, how.

0:30:36.040 --> 0:30:37.280
<v Speaker 6>Much further do you take it?

0:30:37.320 --> 0:30:40.400
<v Speaker 5>I mean, do you work with them to do you know,

0:30:40.480 --> 0:30:42.920
<v Speaker 5>other things that are necessary that maybe they wouldn't be

0:30:42.960 --> 0:30:46.400
<v Speaker 5>good at as you know scientists. Since you have a

0:30:46.400 --> 0:30:49.720
<v Speaker 5>consulting background, do you find people to help them do

0:30:50.360 --> 0:30:52.560
<v Speaker 5>the kind of back end stuff that a lot of

0:30:52.600 --> 0:30:55.040
<v Speaker 5>us can't do. I mean, how far along do you

0:30:55.040 --> 0:30:55.600
<v Speaker 5>hold their hands?

0:30:55.720 --> 0:30:57.240
<v Speaker 3>Yeah, I really appreciate this question.

0:30:57.400 --> 0:31:01.480
<v Speaker 12>Genoa was born because I'm also a next startup operator.

0:31:01.680 --> 0:31:04.280
<v Speaker 12>So as everybody on our team, we love building these

0:31:04.400 --> 0:31:06.800
<v Speaker 12>kinds of companies and helping other people build these kinds

0:31:06.800 --> 0:31:10.320
<v Speaker 12>of companies. So we're builders for builders, and as you

0:31:10.360 --> 0:31:13.959
<v Speaker 12>can imagine, the kinds of innovators who may come up

0:31:14.000 --> 0:31:16.920
<v Speaker 12>with the latest thing in AI for bio may not

0:31:17.080 --> 0:31:21.440
<v Speaker 12>also know about cap tables or preference stacks in the

0:31:21.480 --> 0:31:24.720
<v Speaker 12>startup setting and ventures, so we like to bring that

0:31:25.080 --> 0:31:27.400
<v Speaker 12>knowledge to them to help them on their way as well.

0:31:28.040 --> 0:31:30.440
<v Speaker 2>How do you think about valuations right now?

0:31:31.840 --> 0:31:34.400
<v Speaker 3>Very carefully, I think it's the answer. Yeah.

0:31:34.480 --> 0:31:37.200
<v Speaker 12>I think obviously it's been a tough couple of years

0:31:37.240 --> 0:31:42.800
<v Speaker 12>in the markets, which is having an impact on valuations

0:31:42.880 --> 0:31:45.560
<v Speaker 12>up and down the stack. But I think probably a

0:31:45.560 --> 0:31:48.760
<v Speaker 12>pretty healthy reset. Things did get a little out of control,

0:31:48.880 --> 0:31:50.240
<v Speaker 12>you know, twenty twenty twenty one.

0:31:50.320 --> 0:31:54.160
<v Speaker 5>But what was the Is that because you know SVB collapsed,

0:31:54.280 --> 0:31:56.720
<v Speaker 5>or because everybody would rather invest in nvideo?

0:31:58.680 --> 0:32:02.080
<v Speaker 3>Well multifactorial now, I.

0:32:02.080 --> 0:32:03.880
<v Speaker 5>Mean, what's made it tough? Because I've heard that also

0:32:03.960 --> 0:32:07.720
<v Speaker 5>from other vcs and I've heard my friend Jesse Draper

0:32:07.720 --> 0:32:10.600
<v Speaker 5>from Haligen talks about a recession and I'm like, what recession?

0:32:10.840 --> 0:32:13.840
<v Speaker 6>You know, But a lot of businesses I know are

0:32:13.840 --> 0:32:15.240
<v Speaker 6>feeling it well.

0:32:15.400 --> 0:32:17.960
<v Speaker 12>I think you do get this kind of circular situation

0:32:18.160 --> 0:32:21.960
<v Speaker 12>where investors are working very closely with the companies in

0:32:22.000 --> 0:32:25.400
<v Speaker 12>their portfolio, helping them through a tough time. Even just

0:32:25.440 --> 0:32:28.920
<v Speaker 12>the bandwidth to look at the next thing, much less

0:32:28.920 --> 0:32:31.640
<v Speaker 12>the capital is a little bit lacking. But as I

0:32:31.640 --> 0:32:35.320
<v Speaker 12>think the macros start to trend positive, we're starting to

0:32:35.320 --> 0:32:38.560
<v Speaker 12>see signs of things moving around a little bit. Liquidity

0:32:38.680 --> 0:32:41.920
<v Speaker 12>is the word on everyone's lips. We really need to

0:32:41.920 --> 0:32:44.760
<v Speaker 12>see some of the big exits in companies that have

0:32:44.840 --> 0:32:48.440
<v Speaker 12>stayed private quite a lot longer. As the IPO window

0:32:48.520 --> 0:32:50.760
<v Speaker 12>opens up, as we see more acquisitions, we think that

0:32:50.880 --> 0:32:51.960
<v Speaker 12>moves through the whole stack.

0:32:52.240 --> 0:32:54.600
<v Speaker 5>But I imagine in this sector, I mean, I just

0:32:54.640 --> 0:32:57.959
<v Speaker 5>look at the companies that you are investing in, and

0:32:58.040 --> 0:33:01.000
<v Speaker 5>I think, why does an Apple just that you know,

0:33:01.240 --> 0:33:02.480
<v Speaker 5>so it doesn't have to be an IPO.

0:33:03.160 --> 0:33:03.880
<v Speaker 3>No, it doesn't.

0:33:03.920 --> 0:33:07.120
<v Speaker 12>And historically in bio, most of the exits were predominantly

0:33:07.120 --> 0:33:10.080
<v Speaker 12>in M and A. You know, you have really market

0:33:10.120 --> 0:33:14.720
<v Speaker 12>leaders in each of these different bio segments, whether it's healthcare, pharma, agriculture,

0:33:15.320 --> 0:33:19.240
<v Speaker 12>industrial bio. We're not talking just healthcare that many many

0:33:20.200 --> 0:33:24.600
<v Speaker 12>trillion dollar sectors depend on bio, and historically the exits

0:33:24.640 --> 0:33:27.400
<v Speaker 12>have been by M and A to those leaders who

0:33:27.480 --> 0:33:30.560
<v Speaker 12>are looking for the innovation and the technology to put

0:33:30.560 --> 0:33:34.840
<v Speaker 12>into their commercialization. Part of why we started Genoa when

0:33:34.840 --> 0:33:38.200
<v Speaker 12>we did is that we really believe that the impact

0:33:38.200 --> 0:33:40.560
<v Speaker 12>of bio is now significant enough that more and more

0:33:40.560 --> 0:33:44.400
<v Speaker 12>of these companies deserve to be freestanding, publicly traded, and

0:33:44.440 --> 0:33:46.000
<v Speaker 12>so we're excited about those as well.

0:33:46.520 --> 0:33:48.760
<v Speaker 2>How do you distinguish between I guess how does your

0:33:48.800 --> 0:33:54.280
<v Speaker 2>background help you distinguish between something like AI hype and

0:33:54.360 --> 0:33:56.080
<v Speaker 2>an actual piece of value.

0:33:56.360 --> 0:33:59.560
<v Speaker 12>Yeah, It's part of why we like to go very early,

0:33:59.640 --> 0:34:02.440
<v Speaker 12>because do you have to have the expertise to look

0:34:02.440 --> 0:34:04.760
<v Speaker 12>at the raw data? You know, we read papers, we

0:34:05.240 --> 0:34:09.320
<v Speaker 12>read grants, we look at posters at scientific conferences, and

0:34:09.400 --> 0:34:11.560
<v Speaker 12>back to that sense of going to the fundamentals and

0:34:11.600 --> 0:34:15.839
<v Speaker 12>not just believing the story is really important for making

0:34:16.200 --> 0:34:16.720
<v Speaker 12>a distinction.

0:34:16.840 --> 0:34:17.040
<v Speaker 3>There.

0:34:18.040 --> 0:34:21.200
<v Speaker 5>I'm just looking at you know, your CV and listening

0:34:21.239 --> 0:34:22.080
<v Speaker 5>to you talk.

0:34:22.320 --> 0:34:24.280
<v Speaker 6>Are you from Georgia.

0:34:23.719 --> 0:34:25.640
<v Speaker 12>Or I spent it for a bit of time in Georgia? Yeah,

0:34:25.719 --> 0:34:28.160
<v Speaker 12>my undergrad was at Georgia Tech. My family's still.

0:34:27.960 --> 0:34:31.920
<v Speaker 5>There Georgia and then Yale and now San Francisco. What

0:34:32.040 --> 0:34:34.160
<v Speaker 5>is it like in San Francisco right now?

0:34:35.200 --> 0:34:38.960
<v Speaker 12>San Francisco is a really unique geography. I moved there

0:34:39.000 --> 0:34:41.880
<v Speaker 12>deliberately to find these kinds of companies because it's truly

0:34:41.920 --> 0:34:45.960
<v Speaker 12>a melting pot for different kinds of science and technical

0:34:45.960 --> 0:34:48.520
<v Speaker 12>disciplines as well as different types of businesses, people from

0:34:48.600 --> 0:34:51.120
<v Speaker 12>all over the world, and so you get this culture

0:34:51.160 --> 0:34:53.839
<v Speaker 12>of really free flowing ideas, a kind of yes, and

0:34:54.000 --> 0:34:56.680
<v Speaker 12>let's try it, as opposed to I would say most

0:34:56.719 --> 0:34:58.480
<v Speaker 12>other places in the world that tend to be a

0:34:58.480 --> 0:35:02.800
<v Speaker 12>little bit closed skeptical, which is healthy, but it's helpful

0:35:02.960 --> 0:35:07.359
<v Speaker 12>in that laboratory to have a culture of trying things.

0:35:07.400 --> 0:35:10.440
<v Speaker 2>The venture capitalist that I interviewed last night Michael mcdono

0:35:10.640 --> 0:35:15.560
<v Speaker 2>from Light Speed. He's New York. All in weird, Yeah.

0:35:14.400 --> 0:35:14.480
<v Speaker 10>He.

0:35:16.520 --> 0:35:19.120
<v Speaker 2>Said, New York, but he does more consumer facing.

0:35:18.840 --> 0:35:21.880
<v Speaker 12>Companies, so it makes sense different different spaces. Yeah, I

0:35:21.880 --> 0:35:24.160
<v Speaker 12>love New York. I lived here for three years when

0:35:24.160 --> 0:35:26.319
<v Speaker 12>I was at McKenzie and then moved to Boston, which

0:35:26.360 --> 0:35:29.840
<v Speaker 12>is where I got into biotech, which I think suffers

0:35:29.880 --> 0:35:32.400
<v Speaker 12>by comparison to New York, and so I spent a

0:35:32.440 --> 0:35:34.760
<v Speaker 12>lot of time back here. It's it's the best city

0:35:35.040 --> 0:35:38.319
<v Speaker 12>in the world. However, thank you to do the work

0:35:38.320 --> 0:35:40.399
<v Speaker 12>that I need to do for right now. It needs

0:35:40.400 --> 0:35:42.239
<v Speaker 12>to be set up in San Francisco, and then I

0:35:42.280 --> 0:35:43.440
<v Speaker 12>have the joy of coming.

0:35:43.160 --> 0:35:44.920
<v Speaker 5>Back and visiting you cool.

0:35:45.080 --> 0:35:46.200
<v Speaker 6>Well, we really appreciate it.

0:35:46.239 --> 0:35:49.919
<v Speaker 5>He'll you come back think because it's fascinating stuff. Jenny Rook,

0:35:50.280 --> 0:35:53.919
<v Speaker 5>their founder managing director at Genoa Ventures, talking to us

0:35:54.440 --> 0:35:58.080
<v Speaker 5>about early stage high growth investment.

0:36:02.000 --> 0:36:02.719
<v Speaker 6>The journal.

0:36:03.719 --> 0:36:06.200
<v Speaker 5>Now about you let me drive? Oh no, no, no, no, who's

0:36:06.239 --> 0:36:06.960
<v Speaker 5>gone to drive?

0:36:08.040 --> 0:36:12.239
<v Speaker 6>Alright? Please, I'll do the travels. I want to drive.

0:36:14.520 --> 0:36:15.400
<v Speaker 7>It's the question.

0:36:19.200 --> 0:36:21.120
<v Speaker 1>This is the drive to the clothes.

0:36:21.600 --> 0:36:23.920
<v Speaker 7>I'm timer thick. We'll drive up Chela.

0:36:23.760 --> 0:36:25.600
<v Speaker 6>Don on Bloomberg Radio.

0:36:27.480 --> 0:36:30.680
<v Speaker 5>All right, Matt Miller here in the Bloomberg Interactive Brokers

0:36:30.680 --> 0:36:35.600
<v Speaker 5>studio with Emily Graffeo, Carol and Tim are off today.

0:36:35.880 --> 0:36:39.400
<v Speaker 5>I'm looking at a market, Emily, that continues to climb higher.

0:36:39.480 --> 0:36:42.680
<v Speaker 5>The Dow Jones Industrial Average up to forty and thirty six,

0:36:42.800 --> 0:36:45.080
<v Speaker 5>only reading that off the top of my WI screen.

0:36:45.160 --> 0:36:48.240
<v Speaker 5>But the S and P it's only up two tenths

0:36:48.719 --> 0:36:52.880
<v Speaker 5>of one percent. However, it's up for the week. HCP

0:36:53.120 --> 0:36:55.800
<v Speaker 5>space W shows me that the S and P is

0:36:55.880 --> 0:36:57.320
<v Speaker 5>up one and a half percent this week after a

0:36:57.360 --> 0:36:59.480
<v Speaker 5>two percent drop last week, and that was.

0:36:59.480 --> 0:37:03.120
<v Speaker 2>After a four point six percent rise the week before that,

0:37:03.440 --> 0:37:05.440
<v Speaker 2>and then a one point three percent dropped the week

0:37:05.480 --> 0:37:07.439
<v Speaker 2>before that. So it has been a wild fall.

0:37:07.520 --> 0:37:11.040
<v Speaker 5>Matt Miller, Yeah, absolutely, But fifty nine to sixty is

0:37:11.080 --> 0:37:13.319
<v Speaker 5>the level we're looking at now, so we're really only

0:37:13.400 --> 0:37:16.520
<v Speaker 5>forty points away from the big round six thousand number.

0:37:16.560 --> 0:37:19.720
<v Speaker 5>We pierced it obviously in the week after the election,

0:37:19.880 --> 0:37:23.920
<v Speaker 5>but came right back down. Let's get over right now

0:37:24.560 --> 0:37:29.120
<v Speaker 5>to George Young. He is a portfolio manager at Villary Funds,

0:37:29.360 --> 0:37:31.960
<v Speaker 5>and George, let me get your take on just first

0:37:32.239 --> 0:37:36.719
<v Speaker 5>the broader market here. There was a huge bout of

0:37:36.840 --> 0:37:41.759
<v Speaker 5>optimism after Donald Trump won and Republicans took the House

0:37:41.960 --> 0:37:44.520
<v Speaker 5>and the Senate. It seems to have calmed down a

0:37:44.560 --> 0:37:46.719
<v Speaker 5>little bit, but we're still at very high levels. Do

0:37:46.800 --> 0:37:48.560
<v Speaker 5>we continue going up into the end of the year.

0:37:50.200 --> 0:37:50.800
<v Speaker 10>I think we do.

0:37:50.960 --> 0:37:53.440
<v Speaker 13>It's sort of a tail of two cities, however, because

0:37:53.920 --> 0:37:56.080
<v Speaker 13>what you've seen in the past year or two has

0:37:56.120 --> 0:37:58.560
<v Speaker 13>been the dominance of Magnificent seven. I'm sure all you

0:37:58.760 --> 0:38:01.840
<v Speaker 13>listeners are keenly aware of that, but those of us

0:38:01.880 --> 0:38:04.239
<v Speaker 13>who play in the small cap MidCap world have not

0:38:04.400 --> 0:38:07.839
<v Speaker 13>really seen those benefits. Magnificent seven has dominated things.

0:38:07.960 --> 0:38:09.400
<v Speaker 6>The S and P is up ten.

0:38:09.280 --> 0:38:11.200
<v Speaker 13>Percent per year for each of the last three years.

0:38:11.560 --> 0:38:15.000
<v Speaker 13>Small cap world Russell two thousand base been flat for

0:38:15.080 --> 0:38:16.680
<v Speaker 13>three years. So all of a sudden in the last

0:38:16.800 --> 0:38:20.600
<v Speaker 13>six months and pronounced, especially in the last ten days

0:38:20.680 --> 0:38:25.040
<v Speaker 13>or so, we've seen more credibility and more viability in

0:38:25.200 --> 0:38:27.560
<v Speaker 13>the small cap sector, which is great for us, those

0:38:27.560 --> 0:38:28.359
<v Speaker 13>of us who are in there.

0:38:29.239 --> 0:38:32.680
<v Speaker 2>Tell us about the small cap thesis here, because you're right.

0:38:32.800 --> 0:38:35.760
<v Speaker 2>We saw a big rally in small caps after the election.

0:38:36.320 --> 0:38:38.719
<v Speaker 2>I write about ETFs and there were a ton of

0:38:38.880 --> 0:38:44.000
<v Speaker 2>people piling into ETFs that track small caps, so just

0:38:44.040 --> 0:38:46.000
<v Speaker 2>a lot of money and I guess optimism here. But

0:38:46.560 --> 0:38:50.080
<v Speaker 2>what is I guess the case here for buying small caps.

0:38:51.280 --> 0:38:53.000
<v Speaker 13>Well, the case here is that you want to buy

0:38:53.040 --> 0:38:55.439
<v Speaker 13>what's cheap, and that's nothing new. You want to buy

0:38:55.520 --> 0:38:58.400
<v Speaker 13>low and sell high. And you also don't want to

0:38:58.400 --> 0:38:59.960
<v Speaker 13>fall in love with the doctor. There's an old add

0:39:00.200 --> 0:39:01.920
<v Speaker 13>don't fall in love with a stock. It won't love

0:39:02.000 --> 0:39:05.000
<v Speaker 13>you back. Nonetheless, people have taken the magnificent seven, and

0:39:05.040 --> 0:39:07.160
<v Speaker 13>I'll pick on Nvidia in particular, which happen to be

0:39:07.280 --> 0:39:10.759
<v Speaker 13>down today. People are saying things like I'd never sell

0:39:10.800 --> 0:39:14.160
<v Speaker 13>mind video, I love Envidio, that sort of thing. You

0:39:14.239 --> 0:39:17.799
<v Speaker 13>can love grandma's pearl necklace that you inherited, but when

0:39:17.840 --> 0:39:19.960
<v Speaker 13>it comes to a stock, don't fall in love with it.

0:39:20.280 --> 0:39:23.520
<v Speaker 13>It's just not something that should be that emotional. It

0:39:23.520 --> 0:39:26.120
<v Speaker 13>should be a very objective sort of game. You look

0:39:26.160 --> 0:39:30.080
<v Speaker 13>at pe ratios, you look at any objective measures that

0:39:30.280 --> 0:39:33.040
<v Speaker 13>will make a difference in what the market's going to

0:39:33.120 --> 0:39:33.880
<v Speaker 13>do in the future.

0:39:34.000 --> 0:39:34.960
<v Speaker 1>That's very important.

0:39:35.520 --> 0:39:38.120
<v Speaker 2>Talk to us about how you're thinking about the rise

0:39:38.400 --> 0:39:43.239
<v Speaker 2>in treasury yields, because that could also dent I guess

0:39:43.719 --> 0:39:46.879
<v Speaker 2>small cap stocks, any stocks. Really, if we do see

0:39:46.920 --> 0:39:50.839
<v Speaker 2>treasure yields continue to climb, we're now over about well,

0:39:50.960 --> 0:39:53.120
<v Speaker 2>I can't pull it up, but about four point four

0:39:53.239 --> 0:39:59.640
<v Speaker 2>percent on the tenure right now, right right, right.

0:40:00.040 --> 0:40:03.239
<v Speaker 13>So the ten year is very liquid. You're sticking your

0:40:03.280 --> 0:40:05.440
<v Speaker 13>neck out a little far buying a tenure, but that

0:40:05.600 --> 0:40:08.279
<v Speaker 13>is sort of a proxy for the bond market. And

0:40:08.400 --> 0:40:10.120
<v Speaker 13>remember that if you're going to buy a corporate bond,

0:40:10.160 --> 0:40:12.279
<v Speaker 13>take a little bit more risk. You can get let's

0:40:12.280 --> 0:40:14.960
<v Speaker 13>call it a five percent yield right now in recognizable

0:40:15.040 --> 0:40:18.480
<v Speaker 13>corporate names. So that's a very big challenge for the

0:40:18.560 --> 0:40:23.000
<v Speaker 13>stock market. Bond market yields are attractive right now in

0:40:23.160 --> 0:40:25.200
<v Speaker 13>contrast to where they were two or three years ago,

0:40:25.640 --> 0:40:28.319
<v Speaker 13>where you were buying two percent bonds, nothing to get

0:40:28.360 --> 0:40:31.160
<v Speaker 13>excited about, but you wanted stability during COVID, and that

0:40:31.360 --> 0:40:34.680
<v Speaker 13>made perfect sense. Now what's happened is the bond market

0:40:34.840 --> 0:40:39.000
<v Speaker 13>is offering attractive yields. And it's interesting because, yes, you

0:40:39.120 --> 0:40:41.520
<v Speaker 13>now know the election's over, we know who won, we

0:40:41.640 --> 0:40:45.600
<v Speaker 13>know who controls the both houses of Congress, you know

0:40:46.000 --> 0:40:48.040
<v Speaker 13>what the policies are like that to be, you don't

0:40:48.080 --> 0:40:49.920
<v Speaker 13>quite know what the effect's going to be on the market.

0:40:50.520 --> 0:40:53.239
<v Speaker 13>That's all good from a domestic standpoint, but the bond market,

0:40:53.320 --> 0:40:56.600
<v Speaker 13>the US bond market is international in scope and has

0:40:56.760 --> 0:41:00.720
<v Speaker 13>huge impacts worldwide. Everybody around the world trust the US

0:41:01.200 --> 0:41:04.400
<v Speaker 13>treasury market, so when you see yields going up, that

0:41:04.640 --> 0:41:07.120
<v Speaker 13>needs it's a harder bar for stocks. Stocks have to

0:41:07.200 --> 0:41:11.239
<v Speaker 13>return more to get people to invest in them. So

0:41:11.520 --> 0:41:14.400
<v Speaker 13>if the objective measures are there, then you want to

0:41:14.480 --> 0:41:16.920
<v Speaker 13>buy what is compelling value right now. We see that

0:41:17.000 --> 0:41:18.080
<v Speaker 13>in the small cap stocks.

0:41:18.160 --> 0:41:20.520
<v Speaker 5>I saw at one point last week, I think stocks

0:41:20.600 --> 0:41:23.960
<v Speaker 5>and bonds were yielding just about the exact same thing.

0:41:24.280 --> 0:41:26.040
<v Speaker 5>I have a chart with both of those two lines,

0:41:26.080 --> 0:41:29.880
<v Speaker 5>and they collided. I was thinking, though, you'd probably be

0:41:30.080 --> 0:41:33.960
<v Speaker 5>much smarter to invest in stocks over bonds if you

0:41:34.000 --> 0:41:37.200
<v Speaker 5>had to pick one or the other going into Donald

0:41:37.239 --> 0:41:40.600
<v Speaker 5>Trump's second term, because he's much more likely to be

0:41:41.320 --> 0:41:44.239
<v Speaker 5>passing market friendly policies. Does that make sense that something

0:41:44.239 --> 0:41:44.640
<v Speaker 5>you agree with?

0:41:45.960 --> 0:41:46.600
<v Speaker 7>Not exactly.

0:41:46.640 --> 0:41:48.880
<v Speaker 13>I'd say some people might be better off with stocks,

0:41:48.920 --> 0:41:50.960
<v Speaker 13>some people might be better off with bonds. Remember, there's

0:41:51.280 --> 0:41:53.680
<v Speaker 13>a huge panoply of different investors out there. You've got

0:41:53.719 --> 0:41:57.560
<v Speaker 13>the long term trust fund baby, I'll say you've got

0:41:57.719 --> 0:42:00.600
<v Speaker 13>the widow that's got a limited amount of funds. What's

0:42:00.680 --> 0:42:03.600
<v Speaker 13>right for everybody, it's a little bit different, but universally,

0:42:03.600 --> 0:42:06.359
<v Speaker 13>i'd say introduce some bonds into your portfolio right now,

0:42:06.480 --> 0:42:11.239
<v Speaker 13>specifically some corporate bonds that have some liquidity, some Ginny mays, whatever,

0:42:11.320 --> 0:42:14.520
<v Speaker 13>it may be something that can respond to this potential

0:42:14.760 --> 0:42:17.200
<v Speaker 13>or likely I'm going to say rise in interest.

0:42:17.000 --> 0:42:20.319
<v Speaker 6>Rates so versus.

0:42:21.520 --> 0:42:24.879
<v Speaker 5>Us stocks versus the rest of the world mscix us

0:42:25.120 --> 0:42:27.640
<v Speaker 5>or versus bonds over a longer term chart.

0:42:27.800 --> 0:42:28.200
<v Speaker 1>I get it.

0:42:28.280 --> 0:42:31.720
<v Speaker 5>If you're a widow, if you're living on a fixed income,

0:42:31.840 --> 0:42:33.719
<v Speaker 5>that's a different story. But for someone who's going to

0:42:33.719 --> 0:42:36.960
<v Speaker 5>be invested for the medium to long term, is there

0:42:37.080 --> 0:42:40.359
<v Speaker 5>really any reason to diversify. Don't you just buy us

0:42:40.440 --> 0:42:41.919
<v Speaker 5>stocks and make money.

0:42:43.239 --> 0:42:45.680
<v Speaker 13>Well, let's go back to the beginning of twenty twenty two,

0:42:45.719 --> 0:42:47.360
<v Speaker 13>and if we've made that statement, at the beginning of

0:42:47.440 --> 0:42:51.839
<v Speaker 13>twenty twenty two, the only safe, safe place to hide

0:42:51.880 --> 0:42:56.120
<v Speaker 13>that year was in cash or in gold stocks. Terrible,

0:42:56.360 --> 0:42:58.640
<v Speaker 13>bonds terrible. I don't care if your short term, long

0:42:58.760 --> 0:43:00.880
<v Speaker 13>term bonds. You had your head handed to you.

0:43:00.960 --> 0:43:01.759
<v Speaker 6>It was a tough year.

0:43:01.960 --> 0:43:04.720
<v Speaker 13>I'm not saying that's going to happen again. But anytime

0:43:04.800 --> 0:43:07.880
<v Speaker 13>anything looks like a certainty, that's when you need to

0:43:07.920 --> 0:43:11.000
<v Speaker 13>be cautious about things. So I'd err on the side

0:43:11.000 --> 0:43:13.640
<v Speaker 13>of a bit of caution, and I'd say to most listeners, Yeah,

0:43:14.280 --> 0:43:16.840
<v Speaker 13>take a little, a little, a few chips off the

0:43:16.920 --> 0:43:19.560
<v Speaker 13>table and put some bonds in there. It makes sense.

0:43:20.960 --> 0:43:22.560
<v Speaker 2>We don't have a ton of time left, George. But

0:43:22.640 --> 0:43:25.360
<v Speaker 2>I did want to ask you about Lineage. This is

0:43:25.400 --> 0:43:28.040
<v Speaker 2>a company that owns four hundred and eighty two global

0:43:28.280 --> 0:43:31.880
<v Speaker 2>cold storage warehouses. Why do you like to invest in

0:43:31.960 --> 0:43:32.400
<v Speaker 2>that company?

0:43:33.520 --> 0:43:35.000
<v Speaker 13>Well, a couple of things we went to visit one

0:43:35.000 --> 0:43:36.920
<v Speaker 13>of their facilities on Monday, so I feel like I

0:43:37.000 --> 0:43:39.520
<v Speaker 13>know it pretty well. They have the state of the

0:43:39.640 --> 0:43:44.600
<v Speaker 13>art technology. They have a Federal inspector in their office

0:43:44.680 --> 0:43:48.200
<v Speaker 13>who houses there because they know how much shipment goes

0:43:48.280 --> 0:43:52.040
<v Speaker 13>through their facility. Anything that you eat has to be

0:43:52.600 --> 0:43:55.839
<v Speaker 13>maintained correctly, and they learned during COVID how to turn

0:43:56.000 --> 0:43:59.040
<v Speaker 13>inventory and get food in and get out. Think chicken,

0:43:59.360 --> 0:44:01.839
<v Speaker 13>think vegetables, et cetera. And these can be a light

0:44:01.960 --> 0:44:05.720
<v Speaker 13>freeze means it's still nice and healthy. But they dominate

0:44:05.800 --> 0:44:09.200
<v Speaker 13>the landscape. They just went public in July. New company.

0:44:09.640 --> 0:44:12.040
<v Speaker 13>It's based as an aerit so it has a two

0:44:12.080 --> 0:44:14.839
<v Speaker 13>percent yeld right now, that's eniacrease. So unlike most reach

0:44:14.920 --> 0:44:16.800
<v Speaker 13>and have you're caken it too. You get growth and

0:44:16.880 --> 0:44:17.480
<v Speaker 13>you get income.

0:44:17.520 --> 0:44:18.440
<v Speaker 7>I think it's a great.

0:44:18.239 --> 0:44:19.279
<v Speaker 3>Company, all right.

0:44:19.560 --> 0:44:22.640
<v Speaker 2>George Young, partner and portfolio manager at Villary and Co.

0:44:22.880 --> 0:44:25.040
<v Speaker 2>On Zoom from New Orleans. Thank you for joining us.

0:44:25.719 --> 0:44:29.520
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0:44:29.800 --> 0:44:33.680
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0:44:37.920 --> 0:44:41.200
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