WEBVTT - Jobs, Munis, and Ozempic

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<v Speaker 2>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney. Alongside

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<v Speaker 2>my co host Matt Miller.

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<v Speaker 1>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 1>and Bloomberg experts, along with essential market moven News.

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<v Speaker 2>Find the Bloomberg Markets Podcast called Apple Podcasts or wherever

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<v Speaker 2>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 2>Ben Emmons joins us here in our Bloomberg Interactive Broker studio.

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<v Speaker 2>He doesn't mail it in or own it, and he's

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<v Speaker 2>a principal, senior portfolio manager and head of fixed Income

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<v Speaker 2>at New Edge wealth. Been lots of economic data today

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<v Speaker 2>and really this week here I don't know. I mean

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<v Speaker 2>this services data kind of took me by surprise. Here

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<v Speaker 2>again the ism services data, and we talk about services,

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<v Speaker 2>it's important. It's seventy percent of our economy came in

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<v Speaker 2>at fifty point six, so it's still above fifty, still

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<v Speaker 2>showing some expansion in the economy, but well below last

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<v Speaker 2>month and well below the consensus of fifty two point five.

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<v Speaker 2>That's kind of got the bonds here, yields coming in

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<v Speaker 2>a little bit in stocks higher. What would you make

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<v Speaker 2>of that services data, yep.

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<v Speaker 3>Paul, I thought that the surprise there was that employment components,

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<v Speaker 3>you know, dropping below fifty free sharply.

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<v Speaker 2>Yep.

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<v Speaker 3>I think that's what that triggered the rally in bonds

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<v Speaker 3>because it's a bit contradicting to what we saw yesterday

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<v Speaker 3>with the b ANDI services data. Now, the surveys a

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<v Speaker 3>little different from each other, but nonetheless in the employment component,

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<v Speaker 3>that survey was up and it was actually I think

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<v Speaker 3>part of the reason why we saw about a payroll

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<v Speaker 3>data this morning. So I guess this survey is indicating that,

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<v Speaker 3>you know, some of the people in the supply management

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<v Speaker 3>survey view that the economy is perhaps getting weaker or

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<v Speaker 3>they're having less demand for labor. Either way, you're getting

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<v Speaker 3>this whipsite on the market this morning. You goes up

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<v Speaker 3>to four point ten on the ten year on the

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<v Speaker 3>pay roverboard and reverse back down between ninety six. So

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<v Speaker 3>I think what it tells us is that this is

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<v Speaker 3>a good economy. There will be some ray cuts coming

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<v Speaker 3>in the future, but it is not like a recession

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<v Speaker 3>economy either, so you're not see much lower yields I

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<v Speaker 3>think from here.

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<v Speaker 4>Yeah, So but let's get into the rate cuts that

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<v Speaker 4>you talked about. Because we have the jobs that we

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<v Speaker 4>have ism, you also get resource from Wall Street firms,

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<v Speaker 4>from banks, So when do you see these rate cuts

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<v Speaker 4>possibly kicking in it?

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<v Speaker 3>So I think the March raycut is probably too soon,

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<v Speaker 3>and that's just because the way the Fed is communicated

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<v Speaker 3>that so far, you know, they've given us an idea

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<v Speaker 3>that they are in projections out that probably gives them

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<v Speaker 3>the confidence that they can actually this year can lower

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<v Speaker 3>rates compared to last year when they said resoundingly like

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<v Speaker 3>there's no case for raycouts. But a March raycot would

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<v Speaker 3>mean that inflation data we're getting out until that time

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<v Speaker 3>would see such significant decline that they start reacting to

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<v Speaker 3>that and then make the case that March is the

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<v Speaker 3>live meeting. So I think from the here at LISA,

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<v Speaker 3>it will be more about as we're getting several months

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<v Speaker 3>of inflation employment data, and it could used to go

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<v Speaker 3>towards the you know, the goal that they have two

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<v Speaker 3>percent inflation and unemployment rate maybe a little bit above four.

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<v Speaker 3>That probably is more close to the June to get

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<v Speaker 3>the first ray cut and then we really are into

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<v Speaker 3>the second half of the year, So I don't think

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<v Speaker 3>you're going to see six raycouts this year. So, Ben,

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<v Speaker 3>what did you.

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<v Speaker 2>Make We haven't spoken to you in a while here.

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<v Speaker 2>What did you make of that big move we've saw

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<v Speaker 2>in the markets there in the last I don't know,

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<v Speaker 2>ten weeks of the year. Last year, we just had

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<v Speaker 2>the ten year ago from five percent to three and

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<v Speaker 2>a quarter. We had the stocks just rip. I mean,

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<v Speaker 2>what was that?

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<v Speaker 5>Yeah?

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<v Speaker 3>Actually the right right in a way to say, what

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<v Speaker 3>was it really about? Was it just about yields going down?

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<v Speaker 3>Because one CPI reports showed that the owner's equipmental event

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<v Speaker 3>finally starts to decline. I don't see it in New York.

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<v Speaker 3>But okay, it's it's finally declining. So that triggered the

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<v Speaker 3>move down and yields and there was a relief, and

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<v Speaker 3>you're getting all the high beta and small caps and

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<v Speaker 3>everything start to pricing this idea that yeah, Okay, the

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<v Speaker 3>economy is not going to go to a recession. It

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<v Speaker 3>will be a soft landing, maybe even no landing. I think,

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<v Speaker 3>because it's just simply an economy is staying on track.

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<v Speaker 3>And at the same time, it's about those who had

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<v Speaker 3>money on the sidelines redeploying in something that lacked relative

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<v Speaker 3>to technology, so sort of a relative catch up that

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<v Speaker 3>I think all I think what drove this rally. Now

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<v Speaker 3>will it continue is to be seen because I think

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<v Speaker 3>what we're coming into this year is that we're going

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<v Speaker 3>to keep a fat still restricted for a bit of time.

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<v Speaker 3>So the economy, if it does stay in the slower

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<v Speaker 3>track than last year, you know, you may see stocks

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<v Speaker 3>not perform so strongly. If it's a lie, she has

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<v Speaker 3>yields to sort of stay where we are, And I

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<v Speaker 3>think that there's a really important part about that story. Ultimately,

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<v Speaker 3>it's all about interest rates.

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<v Speaker 4>Now, but a strong drug jobs market. It's that main

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<v Speaker 4>kind of engine for resilient consumer spending, and it's pushed

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<v Speaker 4>a lot of economists to rethink their recession calls. What's

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<v Speaker 4>what's your take on that.

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<v Speaker 3>Yeah, I think the recession call, I've never been in

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<v Speaker 3>that camp. I still think there's no recession this year.

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<v Speaker 3>It may not even be next year. I think here's

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<v Speaker 3>where I come from. This important point to make maybe

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<v Speaker 3>is that the fiscal impulse that we have to the economy,

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<v Speaker 3>fiscal spending is not going to change this year. They

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<v Speaker 3>have agreed on the dead seating last year. They have

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<v Speaker 3>one percent mandatory spending cut across the board. But that's

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<v Speaker 3>so small if you think about back in twenty eleven

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<v Speaker 3>twelve when they had a ten percent mandatory spending cut,

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<v Speaker 3>which really slowed down the economy. One percent is just

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<v Speaker 3>not going to do much for the economy. Especially I've

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<v Speaker 3>seeing job stated like this coming out, and you're seeing

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<v Speaker 3>confidence picking up and financial conditions being looser. So I

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<v Speaker 3>think it's an economy that stays on track. What could

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<v Speaker 3>change it is next year whomever was in the White House.

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<v Speaker 3>But here's one other things about that White House race,

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<v Speaker 3>the new president. But it's buy no Trump, which what

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<v Speaker 3>it looks like either of them wants to stimulate the economy,

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<v Speaker 3>either with text cuts or with more spending. So either way,

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<v Speaker 3>I think this recession scenario is not going to play

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<v Speaker 3>out unless we getting major fiscal spending contraction. As I mentioned,

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<v Speaker 3>I don't think that's the case.

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<v Speaker 2>So given that backdrop, Ben kind of what's your best

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<v Speaker 2>idea here? Coming into twenty twenty four, A lot of

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<v Speaker 2>folks were saying, hey, just be long equity markets, but

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<v Speaker 2>then you had that huge run up in the end

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<v Speaker 2>of the year and maybe some of the glory was

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<v Speaker 2>taken out of there. What's your best idea or do

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<v Speaker 2>you think about twenty four?

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<v Speaker 3>Well, we do look carefully at new edge valuations, and

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<v Speaker 3>you know MC colleague Cameron Dawson who was on Bloomberg's

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<v Speaker 3>events the other day, she kind of make the case

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<v Speaker 3>on that too. It's saying, look, we do have overvaluation

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<v Speaker 3>in tech and the adjustment of interest rates a bit higher.

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<v Speaker 3>For me, I guess economy, it's just better takes off

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<v Speaker 3>some of that that that valuation fraft that's in there

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<v Speaker 3>with those also some I think some level of frath

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<v Speaker 3>coming into uh you know, really Higbida elements of the market,

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<v Speaker 3>so I think you want to play it more a

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<v Speaker 3>bit more defense. We like energy, we like utility sector,

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<v Speaker 3>like some of the healthcare sector. You really pick your

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<v Speaker 3>best parts there. There's very some stocks are very undervalued

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<v Speaker 3>relative to the marketing, trading really at low multiples, and

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<v Speaker 3>actually the earning forecast much were realistic.

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<v Speaker 2>So not chasing. I guess those magnificent seven.

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<v Speaker 3>Not not really so to the call like, yeah, jefferis

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<v Speaker 3>like Microsoft. We all know that Microsoft is a great company.

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<v Speaker 3>It's good and strong, but you will be chasing it

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<v Speaker 3>probably here at these valuation levels. But I like and

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<v Speaker 3>fixed income, and also I think inequity is that emerging

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<v Speaker 3>markets is an interesting story because we are coming off

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<v Speaker 3>really restrictive rates in emerging markets and inflation is really moderated.

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<v Speaker 6>There.

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<v Speaker 3>There's some really good earning growth stories both Asia and

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<v Speaker 3>Latin America, so I think there's an opportunity. We like Japan,

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<v Speaker 3>there's another market that's contasued to be outperformer. And international equity.

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<v Speaker 3>And then lastly, we gotta watch what the dollar is

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<v Speaker 3>going to do this year. If the Fat's going to

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<v Speaker 3>lower rates, it's gonna lead like into a week a

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<v Speaker 3>dollar environment every time the dollar does go below a

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<v Speaker 3>haunted on the index, it leads to significant rally and

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<v Speaker 3>energy and commodities. It's been that historically that way. I

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<v Speaker 3>don't think it's going to be different this way this

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<v Speaker 3>year and now whatever happens with ge politically, Energy is

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<v Speaker 3>I think a bit unvalued from where it is currently.

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<v Speaker 3>Same thing some someone in commodities. Lastly, gold could actually

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<v Speaker 3>be a strong air for gold given uncertainty and fat

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<v Speaker 3>easy it performs quite well in that environment.

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<v Speaker 4>And just a quick I want to get an idea

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<v Speaker 4>of sentiment out there. I mean, you think rising interest

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<v Speaker 4>rates makes it more expensive for companies to operate. I

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<v Speaker 4>mean some of your clients, they're entrepreneurs, their corporate executives.

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<v Speaker 4>What's the feeling that they're getting out there?

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<v Speaker 3>Now, Wow, there's caution and nowice this. Obviously, we do

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<v Speaker 3>deal with this election and it's it's uncertainty. We also

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<v Speaker 3>just do the fat discussion. It's not clear right if

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<v Speaker 3>you're actually going to get these raycouts and how many

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<v Speaker 3>uncertainty while watching what's going on in the Middle East,

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<v Speaker 3>and we don't know how that's going to exactly play out.

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<v Speaker 3>So uncertainty. On the other hand, there doesn't seem to

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<v Speaker 3>be this slowdown that everybody can teach to talk about

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<v Speaker 3>that the solda and that tips us into a recession.

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<v Speaker 3>So I think that our clients are more about, you know,

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<v Speaker 3>we like risk. We'd like to not be out of

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<v Speaker 3>the market. We still like some of the areas like

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<v Speaker 3>private credit or private equity. That's not something we want

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<v Speaker 3>to necessarily skill completely out of it because of recession risk.

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<v Speaker 3>But we don't want you to play the high beta

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<v Speaker 3>trade either, and meaning you know, going reading in high

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<v Speaker 3>risk really small small small caps or you know, go

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<v Speaker 3>into I don't know crypto and things like that. You know,

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<v Speaker 3>we don't want to play the liquidity high risk game

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<v Speaker 3>that way, and be mindful that we do have fixed income.

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<v Speaker 3>We can we can finally get some additional income that's

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<v Speaker 3>still really important in the portfolio this year.

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<v Speaker 2>Thanks so much for joining us, Benham's principal at New

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<v Speaker 2>Edge Wealth.

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<v Speaker 5>You're listening to the team Ken's a our live program,

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<v Speaker 5>Bloomberg Markets weekdays at ten am Eastern on Bloomberg dot com,

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<v Speaker 5>the iHeartRadio app, and the Bloomberg Business app, or listen

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<v Speaker 5>on demand wherever you get your podcasts.

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<v Speaker 2>There is no greater friend to the municipal bond market

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<v Speaker 2>than me. I tell every governor of the State of

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<v Speaker 2>New Jersey, I'm probably the largest private creditor to the

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<v Speaker 2>State of New Jersey through my municipal bond holdings. Chris

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<v Speaker 2>Burgante Brigatti, he thinks he knows a thing or two

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<v Speaker 2>about it. But Senior vice president Director Strategic Planning at SWBC, Hey, Chris,

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<v Speaker 2>thanks so much for joining us here in studio. Fixed

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<v Speaker 2>income actually had a positive year last year in terms

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<v Speaker 2>of total return. How did the municipal bond market do?

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<v Speaker 7>The municipal bond market had a very good year, and

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<v Speaker 7>it all really happened in the last two months of

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<v Speaker 7>the year. It was negative coming into and through October,

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<v Speaker 7>so the performance actually turned quite positive about six point

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<v Speaker 7>four percent to the positive by the end of the

0:10:58.040 --> 0:11:01.559
<v Speaker 7>year with over seven percent return is coming in November December.

0:11:02.440 --> 0:11:03.839
<v Speaker 2>All right, So what are we doing here with the

0:11:03.920 --> 0:11:07.720
<v Speaker 2>unicipal bond market in twenty twenty four. What's the call here?

0:11:08.640 --> 0:11:10.760
<v Speaker 7>The call is to be very strategic in terms of

0:11:10.800 --> 0:11:13.720
<v Speaker 7>how you approach a market and delegate your capital. A

0:11:13.720 --> 0:11:15.360
<v Speaker 7>lot of the investors that we're talking to and a

0:11:15.360 --> 0:11:17.320
<v Speaker 7>lot of the people that we engaged directly, are really

0:11:17.400 --> 0:11:20.959
<v Speaker 7>kind of being very cautious on their credit approach, not

0:11:21.000 --> 0:11:22.959
<v Speaker 7>really going too far out on the credit curve because

0:11:23.000 --> 0:11:25.439
<v Speaker 7>those credit spreads and narrow significantly in the rally through

0:11:25.480 --> 0:11:28.120
<v Speaker 7>November and December. So now it's a matter of when

0:11:28.160 --> 0:11:30.520
<v Speaker 7>can you re engage the market in a more strategic

0:11:30.559 --> 0:11:32.600
<v Speaker 7>manner further out the curve or down the credit curve,

0:11:32.760 --> 0:11:35.000
<v Speaker 7>And I think both of those opportunities could happen this year.

0:11:35.040 --> 0:11:37.600
<v Speaker 7>But I do expect this to be another quite constructive

0:11:37.679 --> 0:11:38.840
<v Speaker 7>year for the market in general.

0:11:39.440 --> 0:11:41.160
<v Speaker 2>So what else are we doing in the fixed the

0:11:41.160 --> 0:11:45.120
<v Speaker 2>gum space here, because I you know, twenty twenty two

0:11:45.240 --> 0:11:47.720
<v Speaker 2>is so brutal for across fixed income space, double digit

0:11:47.760 --> 0:11:50.560
<v Speaker 2>declines declient is like the fixing the market had never

0:11:50.600 --> 0:11:54.240
<v Speaker 2>really seen had some positive results in twenty twenty three.

0:11:54.720 --> 0:11:56.960
<v Speaker 2>Any reason for me to own bonds here in twenty twenty.

0:11:56.720 --> 0:11:58.600
<v Speaker 7>Four, I think there still are. You know, you look

0:11:58.600 --> 0:12:01.199
<v Speaker 7>at the fact that we've got real good yields that

0:12:01.240 --> 0:12:03.440
<v Speaker 7>we have not seen in well over a decade. So

0:12:03.520 --> 0:12:05.880
<v Speaker 7>for a longer term perspective, you start looking at that,

0:12:05.960 --> 0:12:08.040
<v Speaker 7>and you know, if you're going to be clipping coupons

0:12:08.040 --> 0:12:09.880
<v Speaker 7>and be able to grab that four percent yield if

0:12:09.960 --> 0:12:14.120
<v Speaker 7>rates remained unchanged, barring the expectation for lower rate environment,

0:12:14.120 --> 0:12:16.280
<v Speaker 7>which would add additional performance to a bond. If you

0:12:16.320 --> 0:12:18.800
<v Speaker 7>can lock in four percent or better type of yields

0:12:18.800 --> 0:12:21.760
<v Speaker 7>in this market, you're really looking at strong performance in chase.

0:12:21.800 --> 0:12:24.240
<v Speaker 4>Dig a little bit deeper into what banks are doing

0:12:24.320 --> 0:12:26.000
<v Speaker 4>with some of them munity teams.

0:12:26.720 --> 0:12:29.079
<v Speaker 2>Your city they announced at getting out of the municipal

0:12:29.080 --> 0:12:30.800
<v Speaker 2>ball market. They did they can't do that.

0:12:31.679 --> 0:12:34.720
<v Speaker 7>It's amazing they've they've made that announcement in backing out

0:12:34.760 --> 0:12:36.560
<v Speaker 7>of the market. I mean the market is becoming tougher

0:12:36.600 --> 0:12:39.679
<v Speaker 7>and tougher, spreads are narrow, it's becoming much more constrained.

0:12:39.679 --> 0:12:42.240
<v Speaker 7>Regulators aren't helping. I'm not going to really kind of

0:12:42.240 --> 0:12:44.600
<v Speaker 7>go down that path too deeply, but it's a challenging

0:12:44.640 --> 0:12:47.160
<v Speaker 7>market for banks to make money in. And so the

0:12:47.200 --> 0:12:49.240
<v Speaker 7>strategy and the way you approach it is how can

0:12:49.280 --> 0:12:51.960
<v Speaker 7>you embed yourself deeper and better with clients to provide

0:12:51.960 --> 0:12:54.480
<v Speaker 7>better service. And that's one of the goals that we're

0:12:54.480 --> 0:12:57.200
<v Speaker 7>trying to produce at SWBC is how can we ingrain

0:12:57.240 --> 0:12:59.280
<v Speaker 7>ourselves as a partner to those clients and really add

0:12:59.320 --> 0:13:02.640
<v Speaker 7>value SBbc stand for Southwest Business Court.

0:13:02.880 --> 0:13:04.479
<v Speaker 2>Southwest where you guys based.

0:13:04.360 --> 0:13:06.000
<v Speaker 7>San Antonio, Texas's headquarter.

0:13:06.280 --> 0:13:06.520
<v Speaker 3>Nice?

0:13:06.640 --> 0:13:07.280
<v Speaker 2>Is that where you're from?

0:13:07.480 --> 0:13:07.680
<v Speaker 3>No?

0:13:07.679 --> 0:13:08.720
<v Speaker 7>No, I'm Northern New Jersey.

0:13:08.720 --> 0:13:10.360
<v Speaker 2>Here in northern New Jersey. Okay, I'm a big fan

0:13:10.400 --> 0:13:15.080
<v Speaker 2>of San anton all right. So in the I don't

0:13:15.080 --> 0:13:16.679
<v Speaker 2>know where are we going to see a new issuance

0:13:16.720 --> 0:13:17.800
<v Speaker 2>this year? I mean, am I going to see a

0:13:17.800 --> 0:13:22.360
<v Speaker 2>bunch of new fixed income issueans, credit issuance? High yield

0:13:22.480 --> 0:13:24.280
<v Speaker 2>municipal bonds? Am I going to see a bunch of issuance?

0:13:24.280 --> 0:13:25.839
<v Speaker 2>Now that interest rates are coming down? Do you think?

0:13:26.040 --> 0:13:26.480
<v Speaker 6>I think so?

0:13:26.720 --> 0:13:29.559
<v Speaker 7>I think the opportunity for issuance to rise is twofold

0:13:30.040 --> 0:13:32.559
<v Speaker 7>when you look at what happened with the taxable municipal

0:13:32.559 --> 0:13:34.480
<v Speaker 7>market last year, which was down about thirty percent in

0:13:34.520 --> 0:13:36.959
<v Speaker 7>terms of issuance. So I expect that to rebound a

0:13:37.000 --> 0:13:39.880
<v Speaker 7>little bit. Last year, issuance came in around three hundred

0:13:39.880 --> 0:13:42.440
<v Speaker 7>and eighty billion dollars, which was a few percentage points

0:13:42.440 --> 0:13:44.640
<v Speaker 7>lower than the previous year in twenty two. I expect

0:13:44.640 --> 0:13:46.960
<v Speaker 7>this year to be a little bit north of four hundred.

0:13:47.200 --> 0:13:49.000
<v Speaker 2>And an average year is like five six hundred.

0:13:49.320 --> 0:13:51.160
<v Speaker 7>No, an average year of late has been somewhere in

0:13:51.160 --> 0:13:51.560
<v Speaker 7>that mid to.

0:13:51.559 --> 0:13:53.040
<v Speaker 2>Low force mid force.

0:13:53.080 --> 0:13:54.880
<v Speaker 7>Yeah, yeah, so I expect to get more towards the

0:13:54.920 --> 0:13:58.480
<v Speaker 7>average and the opportunity for investors who engage that should

0:13:58.520 --> 0:13:59.360
<v Speaker 7>be well stated.

0:14:00.040 --> 0:14:01.880
<v Speaker 2>But the municipal bond like I've been told in the

0:14:01.920 --> 0:14:06.839
<v Speaker 2>past that municipal bond issuers, municipalities, they don't issue money

0:14:06.840 --> 0:14:10.319
<v Speaker 2>when rates are low per se, they issue money when

0:14:10.320 --> 0:14:13.480
<v Speaker 2>they need it. Correct, So aren't we having a bunch

0:14:13.480 --> 0:14:17.240
<v Speaker 2>of like infrastructure acts and things like that. Don't have

0:14:17.280 --> 0:14:18.959
<v Speaker 2>a bunch of stuff going from the federal grim that

0:14:19.440 --> 0:14:21.400
<v Speaker 2>needs to be funded in municipal bond market.

0:14:21.200 --> 0:14:23.120
<v Speaker 7>There are You know, it's funny when the infrastructure bill

0:14:23.160 --> 0:14:25.760
<v Speaker 7>came out several years ago, the market got all heady

0:14:25.920 --> 0:14:27.480
<v Speaker 7>and for lack of a better way of putting it, in

0:14:27.520 --> 0:14:30.000
<v Speaker 7>terms of the opportunity for more issuance to come. But

0:14:30.120 --> 0:14:33.600
<v Speaker 7>those infrastructure things take time to build. It takes years

0:14:33.640 --> 0:14:36.440
<v Speaker 7>to get through the system through the process at local

0:14:36.600 --> 0:14:39.080
<v Speaker 7>or even larger municipalities to be able to construct that

0:14:39.200 --> 0:14:42.040
<v Speaker 7>new road, to do something with a bridge. All those

0:14:42.080 --> 0:14:45.280
<v Speaker 7>infrastructure projects take time to even get started. So once

0:14:45.280 --> 0:14:47.240
<v Speaker 7>they get started, that's when the borrowing is going to happen,

0:14:47.480 --> 0:14:49.520
<v Speaker 7>and I think that we kind of got through twenty

0:14:49.560 --> 0:14:52.000
<v Speaker 7>twenty three with the huge spiking yields we saw in

0:14:52.040 --> 0:14:54.200
<v Speaker 7>October that scared a lot of people. Now that it's

0:14:54.280 --> 0:14:56.720
<v Speaker 7>kind of more normalized, I think that the issuers are

0:14:56.720 --> 0:14:58.640
<v Speaker 7>going to come back into the market, and they, like

0:14:58.640 --> 0:14:59.880
<v Speaker 7>you said, they're going to come in when they have

0:15:00.280 --> 0:15:02.200
<v Speaker 7>and when they don't have to and rates are high,

0:15:02.240 --> 0:15:05.280
<v Speaker 7>they stayed as far away as they can. So now

0:15:05.280 --> 0:15:06.520
<v Speaker 7>it's the opportunity is going to be there, and I

0:15:06.520 --> 0:15:08.080
<v Speaker 7>think they're going to come in quite strongly.

0:15:08.280 --> 0:15:11.800
<v Speaker 2>So who are buyers of municipal bonds these days? I'm

0:15:12.000 --> 0:15:14.760
<v Speaker 2>likely retail versus institutional. How does that split look today

0:15:14.840 --> 0:15:16.800
<v Speaker 2>and maybe how's that changed over the last decade or so.

0:15:17.000 --> 0:15:18.680
<v Speaker 7>Yeah, you know, that's one of the most interesting things,

0:15:18.680 --> 0:15:19.880
<v Speaker 7>and that's one of the things we're trying to be

0:15:19.880 --> 0:15:23.520
<v Speaker 7>aware of at SWBC is the retail investor has historically

0:15:23.600 --> 0:15:27.640
<v Speaker 7>been a strong participant in the municipal market. Their participation

0:15:27.720 --> 0:15:32.680
<v Speaker 7>has shifted less away from the funds. ETFs have kind

0:15:32.680 --> 0:15:35.360
<v Speaker 7>of picked up some of the fund bandwidth and fund opportunity,

0:15:35.640 --> 0:15:40.280
<v Speaker 7>but the small accounts that are managed by portfolio managers,

0:15:40.320 --> 0:15:43.360
<v Speaker 7>so they're professionally managed, but it's an SMA. Those types

0:15:43.400 --> 0:15:45.360
<v Speaker 7>of accounts are really where most of the opportunity is,

0:15:45.400 --> 0:15:47.680
<v Speaker 7>and that has grown by more than double in the

0:15:47.720 --> 0:15:51.880
<v Speaker 7>past several years. So those investors are really participating strongly

0:15:51.920 --> 0:15:54.200
<v Speaker 7>and reaping the benefits tax for yield.

0:15:54.200 --> 0:15:57.160
<v Speaker 2>What's not to like, Yeah, exactly. And so what's the

0:15:57.200 --> 0:15:59.800
<v Speaker 2>credit quality in the municipal space. I'm actually surprised. I mean,

0:16:00.080 --> 0:16:02.680
<v Speaker 2>always the Puerto Rico issue or something out of Illinois

0:16:02.760 --> 0:16:04.520
<v Speaker 2>or something like that. But other than some of those

0:16:04.560 --> 0:16:08.200
<v Speaker 2>weird situations, I haven't heard of any cracks of note

0:16:08.640 --> 0:16:11.280
<v Speaker 2>in the municipal bond market really for years.

0:16:11.440 --> 0:16:13.200
<v Speaker 7>It's been several years, you know. You look at the

0:16:13.200 --> 0:16:16.560
<v Speaker 7>fact that the federal government allowed for some of the

0:16:16.600 --> 0:16:20.120
<v Speaker 7>infrastructure bill, some of the opportunity for federal aid or

0:16:20.200 --> 0:16:22.880
<v Speaker 7>during the pandemic and COVID, so a lot of issuers

0:16:22.880 --> 0:16:25.520
<v Speaker 7>have built up a reserve of funds as a result

0:16:25.560 --> 0:16:28.160
<v Speaker 7>of that. So the credits are actually quite high, higher

0:16:28.160 --> 0:16:31.120
<v Speaker 7>than they possibly would otherwise be. But generally the municipal

0:16:31.160 --> 0:16:33.960
<v Speaker 7>market is really really solid footing. I mean, most of

0:16:33.960 --> 0:16:36.200
<v Speaker 7>the space could take most of the investment and opportunity

0:16:36.240 --> 0:16:38.400
<v Speaker 7>to take space in the double triple B and higher

0:16:38.560 --> 0:16:41.400
<v Speaker 7>investment grade. That's where the vast majority of issuance is

0:16:41.760 --> 0:16:45.040
<v Speaker 7>and the default rate on those is less than one percent.

0:16:45.280 --> 0:16:47.080
<v Speaker 7>So the only thing time you hear about something like

0:16:47.120 --> 0:16:51.680
<v Speaker 7>that is sketch your credits in odd different markets. Healthcare

0:16:51.760 --> 0:16:54.640
<v Speaker 7>is notoriously a challenge some of the housing market as well.

0:16:54.640 --> 0:16:56.520
<v Speaker 7>And then you get the odd issuers and the Puerto

0:16:56.600 --> 0:16:58.240
<v Speaker 7>Rico story I always rears its head.

0:16:58.440 --> 0:17:00.000
<v Speaker 2>Then there's the ball across the river there.

0:17:00.160 --> 0:17:01.360
<v Speaker 8>Exactly what's going on with that?

0:17:01.360 --> 0:17:04.840
<v Speaker 2>What's the dream mall? I think, yeah, yeah, somebody would.

0:17:04.880 --> 0:17:07.040
<v Speaker 2>I mean, that is fascinating to me. I remember when

0:17:07.080 --> 0:17:10.120
<v Speaker 2>that issue came to market, I said, I know nothing

0:17:10.119 --> 0:17:12.360
<v Speaker 2>about the dream mall. I know nothing about the municipal

0:17:12.359 --> 0:17:15.120
<v Speaker 2>bond market, but I wouldn't go near that bond issuance.

0:17:15.119 --> 0:17:18.040
<v Speaker 2>I mean, I couldn't see how that thing would actually

0:17:18.040 --> 0:17:20.040
<v Speaker 2>be successful, much less pay me back my principle.

0:17:20.119 --> 0:17:20.720
<v Speaker 3>Have you been there?

0:17:21.040 --> 0:17:22.200
<v Speaker 8>No, that's still nice.

0:17:22.359 --> 0:17:23.320
<v Speaker 2>That's the point either.

0:17:23.640 --> 0:17:25.840
<v Speaker 7>I know, you know, it's in a tough location for

0:17:26.200 --> 0:17:29.680
<v Speaker 7>New Yorkers especially, it's it's not easier fund to go

0:17:29.760 --> 0:17:32.040
<v Speaker 7>over the bridge and then travel through there. And you know,

0:17:32.359 --> 0:17:33.720
<v Speaker 7>my kids have been there to go on some of

0:17:33.760 --> 0:17:35.199
<v Speaker 7>the rides and do some of those things, and they

0:17:35.280 --> 0:17:37.720
<v Speaker 7>enjoy it. But I haven't stepped foot in myself either.

0:17:37.760 --> 0:17:39.640
<v Speaker 7>And it's a tough credit, that's for sure.

0:17:39.720 --> 0:17:39.959
<v Speaker 6>All Right.

0:17:40.000 --> 0:17:41.680
<v Speaker 2>What are some of the sectors that you think are

0:17:41.680 --> 0:17:44.520
<v Speaker 2>going to be interesting in twenty twenty four?

0:17:45.160 --> 0:17:48.720
<v Speaker 7>You know, I always mention things that are quality revenue

0:17:48.720 --> 0:17:50.399
<v Speaker 7>bonds that I really like, and you know, you go

0:17:50.440 --> 0:17:52.520
<v Speaker 7>down the path of water and sewer bonds. Everyone has

0:17:52.520 --> 0:17:54.320
<v Speaker 7>to pay their water bill, it needs to or so

0:17:54.400 --> 0:17:56.919
<v Speaker 7>I think in terms of higher credit quality, that's definitely

0:17:57.000 --> 0:17:59.280
<v Speaker 7>on the plate. I think that office opportunity, other things

0:17:59.280 --> 0:18:01.720
<v Speaker 7>that make sense, or some of the better higher quality

0:18:01.800 --> 0:18:04.280
<v Speaker 7>education bonds the well known names for lack of a

0:18:04.320 --> 0:18:07.800
<v Speaker 7>better way of putting it, and then transportation transportation revenue bonds,

0:18:08.320 --> 0:18:10.719
<v Speaker 7>bigger airport revenue bonds, those sorts of things are going

0:18:10.760 --> 0:18:12.240
<v Speaker 7>to be on the uptrend, I believe.

0:18:12.240 --> 0:18:15.680
<v Speaker 2>How about education, because we've seen some stories about how

0:18:15.760 --> 0:18:19.960
<v Speaker 2>if you're a small, mid size liberal arts college, that's

0:18:20.040 --> 0:18:22.480
<v Speaker 2>a tough business. And I've seen some issuance. I've seen

0:18:22.520 --> 0:18:25.760
<v Speaker 2>some issuance from secondary schools, prep schools and things like that.

0:18:25.760 --> 0:18:27.480
<v Speaker 2>I can't remember which the issue was, but one of

0:18:27.480 --> 0:18:30.760
<v Speaker 2>the top prep schools. How about those education back bonds?

0:18:30.760 --> 0:18:31.760
<v Speaker 2>How do you think about those?

0:18:32.080 --> 0:18:34.480
<v Speaker 7>You know, to your point, it depends on the name

0:18:34.480 --> 0:18:36.159
<v Speaker 7>and ten bands on the issuer and the credit you

0:18:36.200 --> 0:18:38.680
<v Speaker 7>really got and kind of understand and digg into weeds

0:18:38.680 --> 0:18:40.840
<v Speaker 7>a little bit to understand what is the underlying credit

0:18:40.880 --> 0:18:43.040
<v Speaker 7>quality of each one. And to your point, you know,

0:18:43.080 --> 0:18:45.160
<v Speaker 7>you stick to the higher names that are very well

0:18:45.200 --> 0:18:48.760
<v Speaker 7>known the place where it's ivy leagues, et cetera. You know,

0:18:48.840 --> 0:18:51.879
<v Speaker 7>those names stand up very well. They have very strong participation,

0:18:51.920 --> 0:18:55.600
<v Speaker 7>Their endowment programs are enormous, and when you look at

0:18:55.600 --> 0:18:59.640
<v Speaker 7>their acceptance rates, they still have low acceptance percentages, meaning

0:18:59.640 --> 0:19:01.040
<v Speaker 7>a lot of people still want to go there and

0:19:01.119 --> 0:19:03.280
<v Speaker 7>very few still get in. You look down the curve

0:19:03.320 --> 0:19:05.880
<v Speaker 7>and you start looking at some of the less well

0:19:05.920 --> 0:19:07.040
<v Speaker 7>known issuers.

0:19:07.080 --> 0:19:08.879
<v Speaker 6>The liberal arts colleges.

0:19:08.520 --> 0:19:11.480
<v Speaker 7>That you mentioned, they're having a tougher time attracting retaining people,

0:19:11.480 --> 0:19:14.040
<v Speaker 7>and I think COVID was not helpful for that construct.

0:19:14.080 --> 0:19:17.720
<v Speaker 7>They definitely suffered in terms of people wanting to go

0:19:17.760 --> 0:19:20.200
<v Speaker 7>to college and or how they engage colleges directly.

0:19:20.480 --> 0:19:22.280
<v Speaker 2>So just real quick on Puerto Rico, are they out

0:19:22.320 --> 0:19:23.840
<v Speaker 2>of the woods yet, I can't remember kind of where

0:19:23.840 --> 0:19:24.119
<v Speaker 2>we are there.

0:19:25.080 --> 0:19:27.000
<v Speaker 7>Yeah, they're not quite out of the woods yet. That

0:19:27.119 --> 0:19:29.280
<v Speaker 7>story seems to be the story that never ends. So

0:19:29.359 --> 0:19:32.960
<v Speaker 7>they're in challenging times. There's constant discussions over you know,

0:19:33.480 --> 0:19:35.320
<v Speaker 7>what's going to happen with the debt service and who's

0:19:35.320 --> 0:19:37.159
<v Speaker 7>going to be paying it and who's responsible, and then

0:19:37.160 --> 0:19:40.199
<v Speaker 7>what is the restructuring going to look like? And you know,

0:19:40.200 --> 0:19:42.800
<v Speaker 7>that's getting into the weaths of it. Very challenging, yeah stuff.

0:19:42.880 --> 0:19:46.800
<v Speaker 2>Luckily, we have the Joe Mysak who covers the municipal

0:19:46.800 --> 0:19:49.200
<v Speaker 2>bond mark for like a goajillion years at Bloomberg News,

0:19:49.240 --> 0:19:50.960
<v Speaker 2>and he keeps us up to date on what's happening there,

0:19:51.359 --> 0:19:53.320
<v Speaker 2>so we appreciate that. Chris Burgotti, thanks for joining us.

0:19:53.359 --> 0:19:56.119
<v Speaker 2>Christoph Gotti is a senior vice president, director of Strategic

0:19:56.119 --> 0:19:59.440
<v Speaker 2>Planning at SWBC based in San Antonio.

0:20:00.000 --> 0:20:03.240
<v Speaker 5>Listening to the tape Cat's are live program Bloomberg Markets

0:20:03.320 --> 0:20:06.680
<v Speaker 5>weekdays at ten am Eastern on Bloomberg Radio, the tune

0:20:06.720 --> 0:20:08.440
<v Speaker 5>in app, Bloomberg dot Com, and.

0:20:08.400 --> 0:20:09.720
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0:20:09.720 --> 0:20:12.560
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0:20:12.560 --> 0:20:19.200
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0:20:19.240 --> 0:20:21.240
<v Speaker 2>All right, the two teams from twenty twenty one from

0:20:21.240 --> 0:20:23.560
<v Speaker 2>a stock market perspective for me, that just came out

0:20:23.600 --> 0:20:26.280
<v Speaker 2>of nowhere. One was AI okay, of course, and the

0:20:26.320 --> 0:20:28.600
<v Speaker 2>other one is this weight loss stuff the GLP ones.

0:20:29.280 --> 0:20:30.520
<v Speaker 4>Now it's EMPI gov.

0:20:31.080 --> 0:20:33.520
<v Speaker 2>I mean, you're a workout Maven, so this is a

0:20:33.560 --> 0:20:35.879
<v Speaker 2>non issue for you. But for a lot of people

0:20:36.760 --> 0:20:39.240
<v Speaker 2>it's huge. I could see how this could just be massive,

0:20:39.240 --> 0:20:42.439
<v Speaker 2>particularly if they get into a pill format. My question

0:20:42.560 --> 0:20:46.520
<v Speaker 2>is always who pays for it? Simone Foxman, reporter for

0:20:46.600 --> 0:20:48.960
<v Speaker 2>Bloomberg News, TV radio and all that kind of stuff.

0:20:48.960 --> 0:20:51.760
<v Speaker 2>She's everywhere. She did a lot of reporting on this,

0:20:51.840 --> 0:20:54.399
<v Speaker 2>has got a great story out on the Bloomberg terminal

0:20:54.440 --> 0:20:56.480
<v Speaker 2>here she joins us live here in our Bloomberg Interactive

0:20:56.520 --> 0:21:00.280
<v Speaker 2>Brokers studio. Simone, help us figure out, because I think

0:21:00.320 --> 0:21:03.240
<v Speaker 2>you can make an argument that almost well get jillions

0:21:03.280 --> 0:21:05.960
<v Speaker 2>of people in the US in theory would want to

0:21:06.000 --> 0:21:08.439
<v Speaker 2>take this drug, will want to take this drug, are

0:21:08.480 --> 0:21:10.600
<v Speaker 2>taking this drugg But my question is who pays for it?

0:21:10.600 --> 0:21:11.440
<v Speaker 2>How does that all work?

0:21:11.760 --> 0:21:11.960
<v Speaker 6>Well?

0:21:12.000 --> 0:21:14.040
<v Speaker 9>So there are different classes of people, right, you have

0:21:14.119 --> 0:21:17.520
<v Speaker 9>your people who are insured and their employers maybe pay

0:21:17.520 --> 0:21:19.959
<v Speaker 9>for their healthcare, and some of them who are insured

0:21:20.000 --> 0:21:23.320
<v Speaker 9>pay for it themselves. Then you have, you know, people

0:21:23.359 --> 0:21:26.919
<v Speaker 9>on Medicare, and then you have eighty five million people

0:21:27.000 --> 0:21:31.159
<v Speaker 9>low income people typically on Medicaid. And this is the

0:21:31.240 --> 0:21:34.199
<v Speaker 9>area that we really dive into as well as some

0:21:34.240 --> 0:21:37.800
<v Speaker 9>of those insured people, because a lot of this burden

0:21:38.080 --> 0:21:41.440
<v Speaker 9>is going to fall on states. States spend on average

0:21:41.960 --> 0:21:46.520
<v Speaker 9>over a quarter of their overall state budget on healthcare costs,

0:21:47.040 --> 0:21:49.520
<v Speaker 9>and those you know, for many states, including New York,

0:21:49.600 --> 0:21:52.760
<v Speaker 9>are skyrocketing, and it turns out, you know, this is

0:21:52.840 --> 0:21:55.000
<v Speaker 9>going to be a larger and larger part of their

0:21:55.000 --> 0:21:58.000
<v Speaker 9>budget as they try and pay for Medicaid costs, which

0:21:58.040 --> 0:22:01.000
<v Speaker 9>is part of is a respect ability they have. They

0:22:01.200 --> 0:22:04.080
<v Speaker 9>contribute to that as well as their own state employees.

0:22:04.320 --> 0:22:08.720
<v Speaker 9>Now right now, most insurers, this is private, public, et cetera,

0:22:09.200 --> 0:22:13.640
<v Speaker 9>pay for GLP ones for people with type two diabetes.

0:22:14.400 --> 0:22:15.800
<v Speaker 2>But the whole.

0:22:15.560 --> 0:22:18.280
<v Speaker 9>Idea that we have been hearing from Wall Street is

0:22:18.880 --> 0:22:21.240
<v Speaker 9>people who just are seeking this for weight loss, who

0:22:21.240 --> 0:22:23.600
<v Speaker 9>are overweight, They're the ones that are ultimately going to

0:22:23.640 --> 0:22:25.320
<v Speaker 9>be seeking this and that's why this is such a

0:22:25.320 --> 0:22:26.000
<v Speaker 9>massive market.

0:22:26.080 --> 0:22:29.200
<v Speaker 4>Yeah, the cosmetic weight loss, I mean exactly likely. They

0:22:29.200 --> 0:22:32.200
<v Speaker 4>came out yesterday and they warned about people doing it

0:22:32.280 --> 0:22:32.879
<v Speaker 4>for this, but.

0:22:32.960 --> 0:22:35.320
<v Speaker 9>It's but it's not just cosmetic weight loss. It should

0:22:35.359 --> 0:22:38.120
<v Speaker 9>be very if you know, noted that this has all

0:22:38.160 --> 0:22:41.840
<v Speaker 9>these variety of health benefits. Uh, the twenty percent reduction

0:22:42.200 --> 0:22:47.320
<v Speaker 9>that a Novo Nordisks showed among patients who had a

0:22:47.359 --> 0:22:50.480
<v Speaker 9>health had a heart condition or some history of heart

0:22:50.480 --> 0:22:55.879
<v Speaker 9>disease as well as obesity, you know, that's an enormous

0:22:55.920 --> 0:23:01.399
<v Speaker 9>savings potentially for insurers, including public insurers. But at a

0:23:01.480 --> 0:23:04.320
<v Speaker 9>cost of one thousand dollars a month. That's the shrugs.

0:23:04.560 --> 0:23:06.280
<v Speaker 2>That's the number that jumped out of meat from your reporting.

0:23:06.280 --> 0:23:08.840
<v Speaker 2>One thousand dollars a month. And you know a lot

0:23:08.840 --> 0:23:11.240
<v Speaker 2>of these you know, government officials saying that's going to

0:23:11.840 --> 0:23:12.800
<v Speaker 2>we don't have that money.

0:23:13.320 --> 0:23:15.879
<v Speaker 9>And the first government officials that were really starting to

0:23:15.920 --> 0:23:19.960
<v Speaker 9>hear from are the ones who control the state health plans. Again,

0:23:20.119 --> 0:23:23.200
<v Speaker 9>not every state health plan covers this for weight loss.

0:23:23.200 --> 0:23:26.880
<v Speaker 9>They almost all do for subject to restrictions for type

0:23:26.920 --> 0:23:30.639
<v Speaker 9>two diabetes. But the ones who do, including North Carolina

0:23:30.720 --> 0:23:33.639
<v Speaker 9>and Connecticut, have both flagged that this is a real

0:23:33.880 --> 0:23:37.240
<v Speaker 9>rising cost and in North Carolina this was a subject

0:23:37.280 --> 0:23:40.000
<v Speaker 9>of very heated meeting over whether or not they should

0:23:40.040 --> 0:23:44.159
<v Speaker 9>continue covering these drugs for weight loss at all, and

0:23:44.280 --> 0:23:46.840
<v Speaker 9>ultimately they decided anyone who was on it up till

0:23:46.920 --> 0:23:50.760
<v Speaker 9>January first can stay on it for that reason. But

0:23:51.280 --> 0:23:54.520
<v Speaker 9>people who are just seeking these for weight loss beyond

0:23:54.560 --> 0:23:56.160
<v Speaker 9>this specifically.

0:23:56.760 --> 0:23:58.800
<v Speaker 2>You got some crazy numbers in here, just in terms

0:23:58.840 --> 0:24:02.000
<v Speaker 2>of the medicage growing GLP one bill. Here are the

0:24:02.119 --> 0:24:05.399
<v Speaker 2>numbers in twenty twenty three point three billion, in twenty

0:24:05.440 --> 0:24:08.480
<v Speaker 2>twenty one five billion, and in twenty twenty two seven

0:24:08.520 --> 0:24:09.520
<v Speaker 2>point nine billion.

0:24:09.800 --> 0:24:12.919
<v Speaker 9>So that's just we medicate, and we have some limited

0:24:12.960 --> 0:24:15.120
<v Speaker 9>data for twenty twenty three. I can tell you already

0:24:15.200 --> 0:24:16.320
<v Speaker 9>the nut number is bigger.

0:24:16.560 --> 0:24:16.879
<v Speaker 3>Wow.

0:24:16.960 --> 0:24:17.560
<v Speaker 9>But here's the thing.

0:24:17.600 --> 0:24:21.119
<v Speaker 4>You have to be on this drug forever. This is

0:24:21.119 --> 0:24:23.119
<v Speaker 4>not a one time thing a couple of months. No,

0:24:23.280 --> 0:24:25.119
<v Speaker 4>you have to continue to be on this correct.

0:24:25.359 --> 0:24:25.639
<v Speaker 3>Yeah.

0:24:25.920 --> 0:24:28.959
<v Speaker 9>And the thing is, you know some of these costs,

0:24:28.960 --> 0:24:31.439
<v Speaker 9>the costs that you just mentioned, Paul, A lot of

0:24:31.480 --> 0:24:35.679
<v Speaker 9>these are driven by type two diabetes patients. In fact, uh,

0:24:36.200 --> 0:24:39.280
<v Speaker 9>why I was going through these numbers. The biggest driver

0:24:39.480 --> 0:24:42.480
<v Speaker 9>of that increase that you talk about between twenty twenty

0:24:42.520 --> 0:24:45.280
<v Speaker 9>and twenty twenty two is for a drug called Trullicity.

0:24:45.359 --> 0:24:47.920
<v Speaker 9>This is a GOLP one that has has been out

0:24:47.920 --> 0:24:50.159
<v Speaker 9>there may cause some weight loss, but it's not the ozembic,

0:24:50.160 --> 0:24:52.240
<v Speaker 9>it's not the wee goov, it's not the one with

0:24:52.280 --> 0:24:54.920
<v Speaker 9>all this name recognition really for weight loss. So it's

0:24:54.960 --> 0:24:57.840
<v Speaker 9>there's still a long way to go. If we just

0:24:57.920 --> 0:25:00.239
<v Speaker 9>are to cover all the type two diabetes patients, and

0:25:00.280 --> 0:25:03.320
<v Speaker 9>we calculate it in our analysis that that bill if

0:25:03.400 --> 0:25:06.040
<v Speaker 9>all the type two diabetes patients that actually deserve this,

0:25:06.160 --> 0:25:09.080
<v Speaker 9>according to the research, were covered, that would be forty

0:25:09.080 --> 0:25:12.560
<v Speaker 9>one billion dollars for Medicaid alone. Don't we can't even

0:25:12.560 --> 0:25:14.320
<v Speaker 9>take in state healthcare plans there.

0:25:14.640 --> 0:25:16.560
<v Speaker 2>I mean, I'm not sure how to do the math

0:25:17.000 --> 0:25:19.200
<v Speaker 2>or I'm sure it's being done within the healthcare industry.

0:25:19.240 --> 0:25:22.560
<v Speaker 2>But if more people are on these GLP one drugs, Okay,

0:25:22.560 --> 0:25:25.000
<v Speaker 2>that's an incremental cost and can the system bear that?

0:25:25.520 --> 0:25:29.720
<v Speaker 2>But you offset that by presumably some of the issues

0:25:29.760 --> 0:25:33.480
<v Speaker 2>they won't have to deal with, you know, obesit, diabetes,

0:25:33.600 --> 0:25:36.360
<v Speaker 2>things like that, And that goes down to I've even

0:25:36.400 --> 0:25:39.720
<v Speaker 2>seen medical device companies stocks sell off because there'll be

0:25:39.760 --> 0:25:42.360
<v Speaker 2>less knee replacements, hip replacements, all that kind of thing.

0:25:43.000 --> 0:25:45.159
<v Speaker 2>I'm not sure how to quantify that benefit versus what

0:25:45.160 --> 0:25:46.399
<v Speaker 2>I know is the upfront cost.

0:25:46.840 --> 0:25:53.160
<v Speaker 9>This is an incredibly problematic analysis. We know that obesity

0:25:53.280 --> 0:25:58.040
<v Speaker 9>itself is very expensive. Diabetes is three hundred and twenty

0:25:58.080 --> 0:26:01.160
<v Speaker 9>seven billion dollars in medical cost a year. That's one

0:26:01.200 --> 0:26:06.639
<v Speaker 9>and out of every four dollars spent. That said, you know,

0:26:06.720 --> 0:26:12.359
<v Speaker 9>and like, don't bring into account the potential benefits of

0:26:12.400 --> 0:26:15.680
<v Speaker 9>having people who are not spending their entire day on dialysis,

0:26:16.080 --> 0:26:18.240
<v Speaker 9>you know, who are contributing to the economy.

0:26:18.640 --> 0:26:18.840
<v Speaker 6>You know.

0:26:18.920 --> 0:26:23.200
<v Speaker 9>That said, some of the early indications are and the

0:26:24.800 --> 0:26:27.760
<v Speaker 9>CBO has done has kind of done a little bit

0:26:27.800 --> 0:26:30.680
<v Speaker 9>of thinking about this. Is the cost is still too high,

0:26:30.920 --> 0:26:31.639
<v Speaker 9>you know, and.

0:26:31.680 --> 0:26:34.040
<v Speaker 4>The and the supply is kind of being limited at

0:26:34.040 --> 0:26:34.400
<v Speaker 4>this time.

0:26:34.480 --> 0:26:36.560
<v Speaker 8>So what do you I mean, do you ration it out?

0:26:36.800 --> 0:26:37.800
<v Speaker 4>What do you do at this point?

0:26:38.000 --> 0:26:41.119
<v Speaker 9>Yeah, the supply being limited means that the likes of

0:26:41.320 --> 0:26:48.200
<v Speaker 9>Novo Nordisk have limited who these drugs go to first, essentially,

0:26:49.240 --> 0:26:51.680
<v Speaker 9>and they're going to the diabetic patients first because it

0:26:51.760 --> 0:26:54.600
<v Speaker 9>has it's more meaningful for them on a whole on

0:26:54.640 --> 0:26:59.399
<v Speaker 9>an aggregate basis, immediately, but you know, they're rimming up supply.

0:27:00.760 --> 0:27:03.919
<v Speaker 9>The problem is the demand is so huge, how do

0:27:03.960 --> 0:27:08.359
<v Speaker 9>you ever bring down costs meaningfully enough to make it

0:27:08.400 --> 0:27:10.159
<v Speaker 9>worth it. Now, it should be noted that some of

0:27:10.240 --> 0:27:13.200
<v Speaker 9>these costs that we've talked about here are pre rebate,

0:27:13.320 --> 0:27:19.600
<v Speaker 9>So prescription costs for Medicaid essentially have due to manufacture rebates.

0:27:19.600 --> 0:27:22.399
<v Speaker 9>Since these are the same and but these are the

0:27:22.480 --> 0:27:24.359
<v Speaker 9>numbers we're kind of talking about, I think they give

0:27:24.400 --> 0:27:26.679
<v Speaker 9>a good indication of how significant this is going to be.

0:27:26.800 --> 0:27:28.440
<v Speaker 2>Well, I like, I mean, I'm I'm a big fan

0:27:28.480 --> 0:27:30.760
<v Speaker 2>of North the state of the state of North Carolina,

0:27:30.800 --> 0:27:33.120
<v Speaker 2>not necessarily the University of North Carolina being a duke

0:27:33.200 --> 0:27:35.560
<v Speaker 2>red But here I noticed in your reporting here that

0:27:35.600 --> 0:27:39.160
<v Speaker 2>the debate has played out most heatedly in North Carolina,

0:27:39.200 --> 0:27:42.320
<v Speaker 2>where Novo Nordis has three plants that make drugs for

0:27:42.400 --> 0:27:46.199
<v Speaker 2>obesity and diabetes. Yet they're at the forefront of the

0:27:46.200 --> 0:27:50.040
<v Speaker 2>state trying to limit who you know, what the state

0:27:50.080 --> 0:27:52.440
<v Speaker 2>will pay for it. So very ironic there and.

0:27:52.520 --> 0:27:58.640
<v Speaker 9>Here there's also this incredible calculus as well. So Dale Folwell,

0:27:58.680 --> 0:28:00.840
<v Speaker 9>who will speak to later today on radio as well

0:28:00.840 --> 0:28:05.439
<v Speaker 9>as on Bloomberg TV. He you know, it runs this

0:28:05.520 --> 0:28:10.399
<v Speaker 9>plan and apparently the Prescription Benefit Manager CVS, he says,

0:28:10.760 --> 0:28:14.959
<v Speaker 9>told him that if they start restricting the population who

0:28:14.960 --> 0:28:20.680
<v Speaker 9>can get drugs, Novo Nordisk will cut the rebates they get,

0:28:20.720 --> 0:28:23.480
<v Speaker 9>so they'll have to pay much closer to thirteen forty

0:28:23.560 --> 0:28:25.959
<v Speaker 9>nine the list price of you know, we go via

0:28:25.960 --> 0:28:28.840
<v Speaker 9>the weight loss version of one of these drugs.

0:28:28.960 --> 0:28:32.920
<v Speaker 2>That's nine dollars yes for a month.

0:28:32.800 --> 0:28:35.600
<v Speaker 9>Yes, versus the seven hundred and seventy two that they

0:28:35.640 --> 0:28:39.440
<v Speaker 9>were currently paid. So that makes the calculus even worse. Right, So,

0:28:39.760 --> 0:28:42.360
<v Speaker 9>I mean, essentially, if manufacturers threatened to cut these rebates

0:28:42.360 --> 0:28:44.440
<v Speaker 9>because people are restricting that, I mean, it's this whole

0:28:44.480 --> 0:28:45.160
<v Speaker 9>vicious cycle.

0:28:45.480 --> 0:28:46.640
<v Speaker 4>But I mean they're pushing it.

0:28:46.640 --> 0:28:46.840
<v Speaker 6>You know.

0:28:47.160 --> 0:28:50.240
<v Speaker 4>Eli Lilly said it's going to launch this digital healthcare platform,

0:28:50.560 --> 0:28:52.040
<v Speaker 4>you know, and that's really going to pressure They're going

0:28:52.080 --> 0:28:54.360
<v Speaker 4>to home deliver some of these these medications.

0:28:54.400 --> 0:28:55.680
<v Speaker 2>So they're they're pushing it.

0:28:55.640 --> 0:28:58.720
<v Speaker 9>And they're doing impact studies talking about the costs of

0:28:58.800 --> 0:29:02.160
<v Speaker 9>obesity that Lily has publicized a bunch of those or

0:29:02.200 --> 0:29:06.040
<v Speaker 9>funded a bunch of those. H they are lobbying state

0:29:06.200 --> 0:29:10.280
<v Speaker 9>and federal officials. Mind you, Medicare is a federal thing.

0:29:10.360 --> 0:29:12.600
<v Speaker 9>And there are some officials on Capitol Hill who are

0:29:12.640 --> 0:29:16.600
<v Speaker 9>saying Medicare should cover this for Medicare beneficiaries, just for

0:29:16.680 --> 0:29:20.560
<v Speaker 9>weight loss too. I mean, anytime you hear about this,

0:29:20.680 --> 0:29:23.920
<v Speaker 9>it's expanding the potential population of people who could get

0:29:23.960 --> 0:29:26.360
<v Speaker 9>these and don't. That doesn't even begin to take in

0:29:26.400 --> 0:29:27.640
<v Speaker 9>the kind of marketing that we're.

0:29:27.520 --> 0:29:31.640
<v Speaker 2>Seeing, all right. I mean, great reporting here, Simone, Simone Foxman,

0:29:32.720 --> 0:29:35.480
<v Speaker 2>you know, with this story and along with your co

0:29:35.560 --> 0:29:40.320
<v Speaker 2>reporter Laura nas Nomius. So, Laura Namias, Simone Foxman, great

0:29:40.360 --> 0:29:44.760
<v Speaker 2>reporting here, great story of Zempic's mania's billions and bills

0:29:44.800 --> 0:29:47.160
<v Speaker 2>are coming for US taxpayers. Check it out on the

0:29:47.160 --> 0:29:50.160
<v Speaker 2>Bloomberg terminal Bloomberg dot com. It really it's really good.

0:29:50.160 --> 0:29:52.160
<v Speaker 2>It's got a lot of data that I have not

0:29:52.280 --> 0:29:54.400
<v Speaker 2>seen before in terms of the cost and how the

0:29:54.400 --> 0:29:56.760
<v Speaker 2>costs are broken down, what are the drugs that are

0:29:56.760 --> 0:30:00.080
<v Speaker 2>in the marketplace, who's who's in there, and where's the

0:30:00.080 --> 0:30:02.400
<v Speaker 2>the money going and where's the money coming from. Some

0:30:02.680 --> 0:30:04.040
<v Speaker 2>great reporting, Simone, thanks so much.

0:30:04.920 --> 0:30:08.040
<v Speaker 5>You're listening to the tape. Can's are Live program Bloomberg

0:30:08.080 --> 0:30:11.680
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0:30:11.760 --> 0:30:13.720
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0:30:13.680 --> 0:30:15.000
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0:30:15.000 --> 0:30:17.840
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0:30:17.840 --> 0:30:24.040
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0:30:24.120 --> 0:30:26.200
<v Speaker 2>My next life. I want to come back as a

0:30:26.240 --> 0:30:30.600
<v Speaker 2>healthcare m and a banker. Those guys get paid every day.

0:30:30.640 --> 0:30:32.920
<v Speaker 2>It seems like every Monday we come in and there's

0:30:32.960 --> 0:30:36.479
<v Speaker 2>another mega healthcare deal. So let's see if that's going

0:30:36.520 --> 0:30:42.080
<v Speaker 2>to continue here. Kristin Pathier, Principal National and Global HCLs

0:30:42.160 --> 0:30:44.960
<v Speaker 2>Deal Advisor and Strategy Leader, Christian, We've got to deal

0:30:45.000 --> 0:30:47.840
<v Speaker 2>with that title there. We got to work on that. KPMG.

0:30:48.120 --> 0:30:50.920
<v Speaker 2>I mean, let's just say you're the global deal person.

0:30:51.040 --> 0:30:53.880
<v Speaker 2>That's what I'm going to go with. At KPMG, they

0:30:53.920 --> 0:30:55.959
<v Speaker 2>know what's going on out there in the world. So

0:30:56.040 --> 0:31:00.479
<v Speaker 2>Kristin talk to us about the landscape for healthcare MNA.

0:31:00.520 --> 0:31:03.320
<v Speaker 2>It just seems like it's just a it's almost like

0:31:03.680 --> 0:31:06.360
<v Speaker 2>a way of doing business for this industry. If you

0:31:06.480 --> 0:31:10.360
<v Speaker 2>can't come up with the drug or the therapeutic or

0:31:10.360 --> 0:31:12.880
<v Speaker 2>whatever in your own R and D, you go out

0:31:12.880 --> 0:31:14.400
<v Speaker 2>and buy it. Is that kind of where we are.

0:31:15.840 --> 0:31:18.520
<v Speaker 10>Absolutely and when you look at healthcare and life sciences

0:31:18.560 --> 0:31:21.560
<v Speaker 10>in general, it really is one of those recession proof industries.

0:31:21.800 --> 0:31:25.240
<v Speaker 10>People are getting sick. People get sick worldwide. They need

0:31:25.240 --> 0:31:28.520
<v Speaker 10>better medication, they can need faster medication, they need more

0:31:28.600 --> 0:31:33.520
<v Speaker 10>access to therapeutics, diagnostics, devices, And regardless of whether we're

0:31:33.560 --> 0:31:37.080
<v Speaker 10>in a major pandemic or whether we're in a major recession,

0:31:37.400 --> 0:31:39.680
<v Speaker 10>we still have people that are getting sick. And so

0:31:40.320 --> 0:31:43.680
<v Speaker 10>all of our groups in this space, whether they be

0:31:43.760 --> 0:31:45.400
<v Speaker 10>healthcare firms, life.

0:31:45.160 --> 0:31:47.600
<v Speaker 8>Sciences firms, they have to continue to innovate.

0:31:47.960 --> 0:31:52.320
<v Speaker 10>And innovation in medicine is precision medicine. It is the

0:31:52.360 --> 0:31:55.600
<v Speaker 10>future of medicine. It is generative AI. It is putting

0:31:55.640 --> 0:31:59.000
<v Speaker 10>together a number of different types of pieces of the

0:31:59.040 --> 0:32:01.640
<v Speaker 10>ecosystem so that we get to our patients faster.

0:32:01.840 --> 0:32:03.360
<v Speaker 8>So you are absolutely right.

0:32:03.760 --> 0:32:08.479
<v Speaker 10>Both inorganic and organic strategies are absolutely essential in this space,

0:32:08.840 --> 0:32:11.480
<v Speaker 10>and that is what we have seen throughout the years.

0:32:11.560 --> 0:32:14.360
<v Speaker 10>Even as the deal market has softened over the past

0:32:14.440 --> 0:32:15.360
<v Speaker 10>couple of years.

0:32:15.360 --> 0:32:17.080
<v Speaker 4>You know, I want to get more into that innovation

0:32:17.160 --> 0:32:19.800
<v Speaker 4>that you were talking about. I hosted a panel for Bloomberg.

0:32:19.840 --> 0:32:22.920
<v Speaker 4>It was about AI and one of the companies there

0:32:23.080 --> 0:32:26.520
<v Speaker 4>was healthcare and they said, AI is playing a big part.

0:32:26.600 --> 0:32:29.080
<v Speaker 4>It is a game changer. So if you can get

0:32:29.080 --> 0:32:30.120
<v Speaker 4>a little bit more into that.

0:32:30.080 --> 0:32:33.840
<v Speaker 10>For us, absolutely, and it's a game changer across all

0:32:33.880 --> 0:32:37.120
<v Speaker 10>of the different subsectors of healthcare and life sciences. Remember

0:32:37.120 --> 0:32:39.160
<v Speaker 10>there are a number of different groups that are playing

0:32:39.160 --> 0:32:40.240
<v Speaker 10>into this ecosystem.

0:32:40.600 --> 0:32:42.320
<v Speaker 8>Our pharma companies.

0:32:42.040 --> 0:32:46.800
<v Speaker 10>Need generative AI to really help take their rapidity of

0:32:46.880 --> 0:32:50.479
<v Speaker 10>their pipelines, make everything going through the pipeline a lot faster,

0:32:50.800 --> 0:32:53.360
<v Speaker 10>a lot more efficient, a lot more effective. Our health

0:32:53.400 --> 0:32:55.680
<v Speaker 10>systems are using it both in the front office and

0:32:55.720 --> 0:32:58.440
<v Speaker 10>the back office to take all of the patient data,

0:32:58.720 --> 0:33:01.680
<v Speaker 10>all the patient claims, everything that they're getting hit with,

0:33:02.160 --> 0:33:06.240
<v Speaker 10>and develop new patient journeys, new sample journeys for those

0:33:06.280 --> 0:33:09.480
<v Speaker 10>patients to get them better and more effective therapeutics.

0:33:09.680 --> 0:33:12.080
<v Speaker 8>And what I would say is that over.

0:33:11.920 --> 0:33:16.040
<v Speaker 10>The last year alone, the amount of time and energy

0:33:16.400 --> 0:33:20.360
<v Speaker 10>and diligence that has been spent on generative AI, the companies,

0:33:20.600 --> 0:33:23.800
<v Speaker 10>the partnerships, how we're even dealing with the space has

0:33:23.920 --> 0:33:28.040
<v Speaker 10>just gone snowballed throughout the industry, and so we're getting

0:33:28.080 --> 0:33:30.720
<v Speaker 10>more and more questions on that every day. I would

0:33:30.760 --> 0:33:34.040
<v Speaker 10>say that the amount of deal making, actual m and

0:33:34.120 --> 0:33:38.520
<v Speaker 10>a in generative AI is less so than the partnerships

0:33:38.560 --> 0:33:41.200
<v Speaker 10>and all of the questions around generative AI, but in

0:33:41.240 --> 0:33:43.280
<v Speaker 10>twenty twenty four, we expect that to increase.

0:33:43.840 --> 0:33:48.040
<v Speaker 2>So what is precision medicine exactly?

0:33:48.040 --> 0:33:52.840
<v Speaker 10>And from your perspective, absolutely, precision medicine is the best

0:33:53.120 --> 0:33:57.600
<v Speaker 10>therapeutic or care for the best patient at the best time.

0:33:57.960 --> 0:33:58.760
<v Speaker 8>And so when you.

0:33:58.680 --> 0:34:01.520
<v Speaker 10>Think about that and you think about what I just said,

0:34:01.920 --> 0:34:03.200
<v Speaker 10>it isn't a buzzword.

0:34:03.320 --> 0:34:04.760
<v Speaker 8>It's the future of medicine.

0:34:04.840 --> 0:34:07.280
<v Speaker 10>We want to be able to take one patient, look

0:34:07.280 --> 0:34:11.480
<v Speaker 10>at that patient, and provide them the most effective and

0:34:11.640 --> 0:34:12.560
<v Speaker 10>efficient care.

0:34:12.920 --> 0:34:15.120
<v Speaker 8>And so that's what we see. And when we take

0:34:15.200 --> 0:34:16.400
<v Speaker 8>that precision.

0:34:16.000 --> 0:34:20.239
<v Speaker 10>Medicine out to precision healthcare, it adds in the entire ecosystem,

0:34:20.480 --> 0:34:24.080
<v Speaker 10>whether it be the diagnostics that surround those therapeutics, whether

0:34:24.120 --> 0:34:26.600
<v Speaker 10>it be the patient services, and whether it be in

0:34:26.640 --> 0:34:28.640
<v Speaker 10>a domestic market or a worldwide market.

0:34:29.360 --> 0:34:33.000
<v Speaker 4>Now, talk to about hospitals, they're facing these big financial pressures.

0:34:33.040 --> 0:34:36.040
<v Speaker 4>You have workers, there's a shortage of workers. How is

0:34:36.040 --> 0:34:38.640
<v Speaker 4>this going to change the industry moving into twenty twenty four.

0:34:39.600 --> 0:34:44.360
<v Speaker 10>Absolutely, both generative AI and precision health health happen to

0:34:45.160 --> 0:34:47.880
<v Speaker 10>really help what you just mentioned when you think about

0:34:48.440 --> 0:34:50.480
<v Speaker 10>how many workers we have to put in the workforce,

0:34:50.520 --> 0:34:52.959
<v Speaker 10>when you think about how many therapeutics that we need

0:34:53.000 --> 0:34:56.880
<v Speaker 10>to save people's lives. If we can get more precise diagnostics,

0:34:56.960 --> 0:35:00.799
<v Speaker 10>more precise services to our patients in amount of time

0:35:00.920 --> 0:35:04.680
<v Speaker 10>in those health systems, that allows us to take our

0:35:04.719 --> 0:35:07.840
<v Speaker 10>workforce and refine our workforce to only who we need.

0:35:08.120 --> 0:35:11.120
<v Speaker 10>It also allows us to upscale our workforce, maybe with

0:35:11.280 --> 0:35:15.320
<v Speaker 10>bringing in people that could be upskilled faster through generative

0:35:15.360 --> 0:35:19.520
<v Speaker 10>AI approaches, and then allow us to manipulate and change

0:35:19.520 --> 0:35:21.759
<v Speaker 10>our workforce to better suit the needs of what we

0:35:21.800 --> 0:35:22.560
<v Speaker 10>need in the future.

0:35:23.160 --> 0:35:27.480
<v Speaker 2>All Right, So, from a deal perspective, Kristen, what sectors

0:35:27.480 --> 0:35:29.920
<v Speaker 2>do you think are going to be most in play

0:35:29.960 --> 0:35:31.640
<v Speaker 2>over the next twelve months.

0:35:33.160 --> 0:35:35.920
<v Speaker 10>When you look across healthcare and life sciences and you

0:35:35.960 --> 0:35:38.600
<v Speaker 10>look at the lows of twenty twenty three and you

0:35:38.640 --> 0:35:41.799
<v Speaker 10>look at what's recovering quicker, each one of the subsectors

0:35:41.800 --> 0:35:45.319
<v Speaker 10>in life sciences continues to be very exciting in for

0:35:45.400 --> 0:35:49.520
<v Speaker 10>different reasons. Within biopharma, the innovation around selling gene therapy

0:35:49.840 --> 0:35:53.080
<v Speaker 10>within a lot of our other biologics within Companion Therapeutics

0:35:53.400 --> 0:35:57.080
<v Speaker 10>is continuing to move us through the pipeline and look

0:35:57.160 --> 0:36:01.800
<v Speaker 10>at deals that are continuing to change the portfolio.

0:36:01.239 --> 0:36:03.240
<v Speaker 8>Of each one of our pharmaceutical companies.

0:36:03.440 --> 0:36:05.680
<v Speaker 10>When you look at diagnostics, we had a little bit

0:36:05.680 --> 0:36:08.520
<v Speaker 10>of a lull last year, of course, as our diagnostics

0:36:08.520 --> 0:36:12.160
<v Speaker 10>companies went into the new normal post COVID, But now

0:36:12.200 --> 0:36:16.200
<v Speaker 10>they are looking for interesting point of care and interesting

0:36:16.200 --> 0:36:19.919
<v Speaker 10>innovations within diagnostics to help pharmaceutical companies and to help

0:36:19.960 --> 0:36:24.000
<v Speaker 10>services in better ways. Devices are always going to be

0:36:24.480 --> 0:36:27.359
<v Speaker 10>one of those areas where we keep on looking to say,

0:36:27.560 --> 0:36:31.319
<v Speaker 10>is this the year device companies had a harder time

0:36:31.400 --> 0:36:34.759
<v Speaker 10>during COVID? Of course, as elective procedures really tanked. All

0:36:34.800 --> 0:36:38.760
<v Speaker 10>those elective procedures, hips, knees, etc. All have come up again,

0:36:39.200 --> 0:36:42.640
<v Speaker 10>and now as our health systems continue to promote those

0:36:42.719 --> 0:36:46.320
<v Speaker 10>elective procedures continue to bring them in, our device companies

0:36:46.360 --> 0:36:49.520
<v Speaker 10>are looking very carefully at new innovative ways that they

0:36:49.560 --> 0:36:52.520
<v Speaker 10>can bring new devices to the fold and emerge as

0:36:52.600 --> 0:36:54.480
<v Speaker 10>the victors in that particular area.

0:36:55.000 --> 0:36:56.480
<v Speaker 8>In healthcare, when you.

0:36:56.440 --> 0:36:59.839
<v Speaker 10>Look at health systems, when you look at payers, when

0:36:59.840 --> 0:37:02.880
<v Speaker 10>you look at physician groups, we're seeing health it and

0:37:02.920 --> 0:37:07.320
<v Speaker 10>physician groups as being the most exciting areas and continued

0:37:07.360 --> 0:37:10.840
<v Speaker 10>consolidation and thoughts on health systems as the health systems

0:37:10.880 --> 0:37:14.200
<v Speaker 10>continue to recover from COVID and really be very thoughtful

0:37:14.280 --> 0:37:17.960
<v Speaker 10>about their costs, paired with the innovation that they're seeing

0:37:17.960 --> 0:37:22.560
<v Speaker 10>from life sciences. Life sciences and healthcare are inactuably linked sectors,

0:37:22.840 --> 0:37:26.040
<v Speaker 10>and so as we look at this overall, we're continuing

0:37:26.080 --> 0:37:29.720
<v Speaker 10>to see the dynamics between innovation between those two teams.

0:37:30.600 --> 0:37:33.480
<v Speaker 2>Kristin, thanks so much for joining us. Really fascinating stuff there.

0:37:33.560 --> 0:37:37.680
<v Speaker 2>Kristin Pathier, Principal National and Global HCLs Deal Advisory and

0:37:37.680 --> 0:37:39.359
<v Speaker 2>Strategy leader for KPMG.

0:37:39.840 --> 0:37:43.000
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0:37:43.040 --> 0:37:46.640
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0:37:46.680 --> 0:37:48.839
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0:37:49.960 --> 0:37:52.759
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0:37:52.800 --> 0:37:57.200
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0:37:58.920 --> 0:38:02.120
<v Speaker 2>Let's talk about this jobs market again. It is resilient,

0:38:02.640 --> 0:38:05.560
<v Speaker 2>it is robust. I don't know what you it doesn't matter.

0:38:05.600 --> 0:38:07.880
<v Speaker 2>It just seems like you can't crack this labor market

0:38:07.880 --> 0:38:10.279
<v Speaker 2>that continues to be some pretty solid demand. Julia Pollock

0:38:10.360 --> 0:38:13.440
<v Speaker 2>joins us. She's a chief economist at ZipRecruiter. So, Julie,

0:38:13.440 --> 0:38:16.879
<v Speaker 2>we got some better than I think expected jobs dated

0:38:16.880 --> 0:38:18.600
<v Speaker 2>today in terms of the number of jobs and then

0:38:18.640 --> 0:38:20.680
<v Speaker 2>also the wages. What are you seeing at there at

0:38:20.719 --> 0:38:22.640
<v Speaker 2>ZipRecruiter when you look at there at the labor market,

0:38:22.960 --> 0:38:24.480
<v Speaker 2>it was a mixed jobs report.

0:38:24.560 --> 0:38:27.239
<v Speaker 11>But yes, you know, zooming out twenty twenty three was

0:38:27.360 --> 0:38:30.640
<v Speaker 11>a remarkable year in the labor market. We not just

0:38:30.840 --> 0:38:35.640
<v Speaker 11>dodged a recession, we completely completely avoided a recession in

0:38:35.640 --> 0:38:41.080
<v Speaker 11>the labor market, even though it did slow substantially. And

0:38:41.120 --> 0:38:42.839
<v Speaker 11>not only that, it was actually one of the best

0:38:42.920 --> 0:38:45.120
<v Speaker 11>years on record when it comes to the unemployment rate,

0:38:45.160 --> 0:38:47.800
<v Speaker 11>the average unemployment rate, it ties for fifth place with

0:38:47.880 --> 0:38:50.760
<v Speaker 11>nineteen sixty eight. Wow, So pretty strong year overall.

0:38:51.239 --> 0:38:53.040
<v Speaker 4>And talk about some of the trends that are going on.

0:38:53.760 --> 0:38:56.480
<v Speaker 4>We used to talk about that trend of job switching.

0:38:56.840 --> 0:38:58.200
<v Speaker 2>Is that still safe?

0:38:58.360 --> 0:38:59.959
<v Speaker 4>Ords it best to just stay in place.

0:39:01.600 --> 0:39:04.879
<v Speaker 11>So the data that came out earlier in the week,

0:39:04.960 --> 0:39:09.000
<v Speaker 11>the JAULTZ data showed a pretty substantial decline in job switching.

0:39:09.200 --> 0:39:12.360
<v Speaker 11>So the quits rate fell to the lowest rate since

0:39:12.520 --> 0:39:17.680
<v Speaker 11>before since early twenty eighteen, and that suggests that the

0:39:17.680 --> 0:39:21.600
<v Speaker 11>Great resignation is fully completely over. And the higher's rate

0:39:21.680 --> 0:39:25.839
<v Speaker 11>also plunged to the lowest level since twenty fourteen. And

0:39:25.920 --> 0:39:29.560
<v Speaker 11>so the reason that overall employment levels are going up

0:39:29.640 --> 0:39:32.600
<v Speaker 11>is not because of aggressive hiring. It's more because of

0:39:32.800 --> 0:39:36.600
<v Speaker 11>very slow turnover and churn. And what we're seeing at

0:39:36.640 --> 0:39:40.759
<v Speaker 11>ZIP recruiter is a continued, gradual, orderly cooling in the

0:39:40.840 --> 0:39:44.520
<v Speaker 11>label market that's likely to persist until the FED takes

0:39:44.560 --> 0:39:48.080
<v Speaker 11>its foot off the rate piel and allows the economy

0:39:48.160 --> 0:39:50.160
<v Speaker 11>to invest in boom again.

0:39:50.960 --> 0:39:56.160
<v Speaker 2>So, Julia, what is I guess employee hoarding? Is it

0:39:56.200 --> 0:39:57.600
<v Speaker 2>a thing? Is it real?

0:39:58.840 --> 0:40:02.919
<v Speaker 11>So if you at layoffs and firings, they have been

0:40:03.000 --> 0:40:06.040
<v Speaker 11>about twenty percent lower this year than was normal between

0:40:06.040 --> 0:40:11.120
<v Speaker 11>twenty sixteen and twenty nineteen. So we're seeing historically unusually

0:40:11.360 --> 0:40:14.880
<v Speaker 11>low firing and layoffs at a time when there are

0:40:14.920 --> 0:40:18.880
<v Speaker 11>many industries where activity has taken a huge knock from

0:40:19.200 --> 0:40:22.840
<v Speaker 11>high interest rates. If you look at the construction sector,

0:40:22.920 --> 0:40:26.680
<v Speaker 11>it's actually up over four hundred thousand jobs since before

0:40:26.760 --> 0:40:31.160
<v Speaker 11>the pandemic. Industries like banking where I think if you

0:40:31.200 --> 0:40:33.080
<v Speaker 11>look at a lot of the numbers it hasn't been

0:40:33.120 --> 0:40:35.440
<v Speaker 11>so great, right, Lots and lots of bank deposits have

0:40:35.480 --> 0:40:37.640
<v Speaker 11>left that SIB system, like on eight hundred and seventy

0:40:37.680 --> 0:40:45.719
<v Speaker 11>billion dollars. Bank stocks have fallen pretty substantially and underperformed

0:40:45.719 --> 0:40:48.560
<v Speaker 11>the S and P five hundred by the largest amount ever.

0:40:49.120 --> 0:40:51.919
<v Speaker 11>And yet overall employment in that sector has been flat

0:40:51.960 --> 0:40:54.000
<v Speaker 11>as a pancake. So yes, I think there is a

0:40:54.040 --> 0:40:57.520
<v Speaker 11>sign that employers are holding on to the workers they've got,

0:40:57.840 --> 0:41:00.919
<v Speaker 11>even in industries that are pretty slow, because they are

0:41:00.960 --> 0:41:02.800
<v Speaker 11>confident that things are going to turn around.

0:41:03.080 --> 0:41:05.880
<v Speaker 4>So and when you talk about that, you know, managing

0:41:05.920 --> 0:41:09.480
<v Speaker 4>this headcount, So is it that they're relying on attrition

0:41:09.960 --> 0:41:14.280
<v Speaker 4>or rather than doing layoffs? What do you say?

0:41:14.400 --> 0:41:18.520
<v Speaker 11>Yes, but even overall headcount numbers are staying pretty flat

0:41:18.560 --> 0:41:19.080
<v Speaker 11>and stable.

0:41:19.160 --> 0:41:19.399
<v Speaker 3>You know.

0:41:19.640 --> 0:41:23.240
<v Speaker 11>One exception is transportational warehousing, where we are seeing some

0:41:23.320 --> 0:41:26.400
<v Speaker 11>sort of right sizing in that sector now after it

0:41:26.560 --> 0:41:30.560
<v Speaker 11>posted the largest gains since the pandemic. So, you know,

0:41:30.680 --> 0:41:32.840
<v Speaker 11>as people get back to normal and spend more on

0:41:32.960 --> 0:41:38.560
<v Speaker 11>services and good spending slows, growth and good spending slows,

0:41:39.560 --> 0:41:43.440
<v Speaker 11>that industry is shedding jobs, but most are not. Employment

0:41:43.520 --> 0:41:46.279
<v Speaker 11>is pretty stable and flat and resilient. That's actually the

0:41:46.360 --> 0:41:50.000
<v Speaker 11>only sectors that are really contributing to growth at the

0:41:50.000 --> 0:41:54.400
<v Speaker 11>moment are these three largely acyclical sectors, the government, healthcare,

0:41:54.560 --> 0:41:57.880
<v Speaker 11>and leisure hospitality. They accounted for ninety two percent of

0:41:58.000 --> 0:42:00.320
<v Speaker 11>all jobs added in the last six months.

0:42:01.040 --> 0:42:04.720
<v Speaker 2>So, Julia, people are at work. My question is where

0:42:04.840 --> 0:42:06.799
<v Speaker 2>are they working. Are they working at home, are they

0:42:06.800 --> 0:42:09.440
<v Speaker 2>working in the office? Where are we on that these days?

0:42:10.280 --> 0:42:13.960
<v Speaker 11>So it's a very very mixed bag. Remote work has

0:42:14.080 --> 0:42:17.239
<v Speaker 11>pretty much stabilized now at around twenty five to twenty

0:42:17.280 --> 0:42:20.399
<v Speaker 11>eight percent of all worked days, up from about five

0:42:20.440 --> 0:42:24.040
<v Speaker 11>percent before the pandemic. And this is the year when

0:42:24.200 --> 0:42:28.840
<v Speaker 11>that really stabilized. The Many companies brought workers back to

0:42:28.840 --> 0:42:31.680
<v Speaker 11>the office, but many other companies started afresh in a

0:42:31.840 --> 0:42:39.360
<v Speaker 11>remote first posture, and among companies the flexibility became the norm.

0:42:39.600 --> 0:42:43.399
<v Speaker 11>The five day in office work week became very rare.

0:42:43.480 --> 0:42:46.279
<v Speaker 11>Only sixteen percent of companies with office.

0:42:46.320 --> 0:42:48.560
<v Speaker 2>So I'm one of the special people's five days.

0:42:48.640 --> 0:42:49.279
<v Speaker 11>You're one of those.

0:42:50.160 --> 0:42:51.319
<v Speaker 2>I know, I was specialty.

0:42:51.680 --> 0:42:53.839
<v Speaker 11>Most people get at least one, two, three or four

0:42:53.920 --> 0:42:57.040
<v Speaker 11>days off, so I hear out out of the office

0:42:57.160 --> 0:42:57.600
<v Speaker 11>a week.

0:42:58.880 --> 0:43:00.640
<v Speaker 4>And we've learn a lot of us in twenty twenty

0:43:00.680 --> 0:43:04.400
<v Speaker 4>three about the great resignation is that gone in the

0:43:04.480 --> 0:43:05.560
<v Speaker 4>days of twenty twenty four.

0:43:06.640 --> 0:43:09.439
<v Speaker 11>It's gone. Turnovers not just back to pre pandemic normal,

0:43:09.480 --> 0:43:12.800
<v Speaker 11>it's actually lower. It's about where it was in early

0:43:12.880 --> 0:43:19.120
<v Speaker 11>twenty eighteen. And that is a really reliable measure of

0:43:19.200 --> 0:43:23.880
<v Speaker 11>how much economic opportunity there really is for unemployed workers,

0:43:24.120 --> 0:43:28.320
<v Speaker 11>for workers to find better jobs. And I think it

0:43:28.440 --> 0:43:31.360
<v Speaker 11>suggests that there is some cooling in this live market

0:43:31.520 --> 0:43:34.280
<v Speaker 11>and that workers are finding it a little bit harder

0:43:34.360 --> 0:43:36.600
<v Speaker 11>to find new jobs and to find the kinds of

0:43:36.680 --> 0:43:37.799
<v Speaker 11>jobs that they want right now.

0:43:38.280 --> 0:43:43.160
<v Speaker 2>All right, my I guess employment ready offspring, they're all employed.

0:43:43.160 --> 0:43:46.320
<v Speaker 2>But how about folks coming out of college and graduate school.

0:43:46.520 --> 0:43:48.959
<v Speaker 2>How's that entry market right now?

0:43:50.000 --> 0:43:55.040
<v Speaker 11>So, surveys of employers suggest that they are projecting hiring

0:43:55.200 --> 0:43:57.879
<v Speaker 11>fewer members of the graduating class of twenty twenty four

0:43:58.280 --> 0:44:02.400
<v Speaker 11>than of previous classes. That said, those projections can change.

0:44:03.719 --> 0:44:07.759
<v Speaker 11>It's quite possible that twenty twenty four could be like

0:44:07.800 --> 0:44:11.040
<v Speaker 11>twenty twenty three again, in that companies start the year

0:44:11.160 --> 0:44:14.840
<v Speaker 11>expecting to cut headcount and cut costs more aggressively and

0:44:14.880 --> 0:44:17.080
<v Speaker 11>then realize, wait a second, there's nerve recession. On hand,

0:44:17.120 --> 0:44:21.000
<v Speaker 11>the consumer is still strong. I need workers and actually

0:44:21.080 --> 0:44:23.560
<v Speaker 11>hire more than they're expecting at the start of the year,

0:44:23.680 --> 0:44:26.480
<v Speaker 11>especially if we see interest rates come down and investment

0:44:27.120 --> 0:44:27.880
<v Speaker 11>rise again.

0:44:28.400 --> 0:44:31.200
<v Speaker 4>And new year people out there looking for a new job.

0:44:31.480 --> 0:44:33.120
<v Speaker 4>Do you have to rip up the script when it

0:44:33.120 --> 0:44:34.960
<v Speaker 4>comes to your resume? I mean, if you want to

0:44:35.000 --> 0:44:37.920
<v Speaker 4>start all over again, what should you do differently when

0:44:38.080 --> 0:44:40.680
<v Speaker 4>you're putting it together? Is it more about skills? What

0:44:40.920 --> 0:44:42.600
<v Speaker 4>should you have on there that really stands out?

0:44:43.600 --> 0:44:43.839
<v Speaker 8>Yeah?

0:44:43.840 --> 0:44:46.600
<v Speaker 11>So this is not a chronology. It's more like an

0:44:46.640 --> 0:44:50.200
<v Speaker 11>advertising pamphlet, showing your most your greatest hits, your most

0:44:50.200 --> 0:44:53.040
<v Speaker 11>relevant skills and experience. That's I think how people should

0:44:53.040 --> 0:44:57.600
<v Speaker 11>think about their resumes. Put the relevant experience up first,

0:44:57.880 --> 0:45:01.520
<v Speaker 11>and then you know, it's really important these days to

0:45:01.560 --> 0:45:06.040
<v Speaker 11>have a digital jobs or seecret profile. So upload your resume,

0:45:06.120 --> 0:45:08.720
<v Speaker 11>make sure it can be read by computers and parsed

0:45:08.880 --> 0:45:13.680
<v Speaker 11>by these job marketplaces, so that you're actually getting your

0:45:13.680 --> 0:45:15.959
<v Speaker 11>foot through the door and getting past the robots into

0:45:16.000 --> 0:45:16.359
<v Speaker 11>a human.

0:45:17.120 --> 0:45:20.160
<v Speaker 2>How about it In the trades, people tell me that

0:45:20.320 --> 0:45:24.120
<v Speaker 2>there's still a shortage of trades men and women out there.

0:45:24.440 --> 0:45:26.920
<v Speaker 2>How does that part of the market look to you.

0:45:28.440 --> 0:45:33.880
<v Speaker 11>Yes, So there are many industries with aging workforces, with

0:45:34.000 --> 0:45:37.880
<v Speaker 11>a lot of retirements and with shrinking pipelines of new talent.

0:45:38.080 --> 0:45:41.239
<v Speaker 11>New younger generations of workers are not as interested in

0:45:41.280 --> 0:45:46.000
<v Speaker 11>those roles. They also are seeing a work a labor

0:45:46.000 --> 0:45:49.719
<v Speaker 11>force with a lot more flexible opportunities, and so they're

0:45:49.760 --> 0:45:51.759
<v Speaker 11>going to the remote jobs and the tech jobs and

0:45:51.800 --> 0:45:55.720
<v Speaker 11>the influencer jobs. There's tremendous interest still in marketing roles

0:45:55.800 --> 0:45:57.799
<v Speaker 11>and pr roles and those kinds of things, and much

0:45:57.880 --> 0:46:03.520
<v Speaker 11>less interest in doing hard labor in manufacturing or construction.

0:46:04.400 --> 0:46:07.839
<v Speaker 11>That said, wages in those fields are rising in order

0:46:07.920 --> 0:46:11.000
<v Speaker 11>to deal with the supply shortage, and perhaps you'll see

0:46:11.120 --> 0:46:14.760
<v Speaker 11>a tipping point where people start to take more interest

0:46:14.800 --> 0:46:15.400
<v Speaker 11>in these roles.

0:46:15.760 --> 0:46:17.759
<v Speaker 4>And what about the gig sector. I've heard a lot

0:46:17.800 --> 0:46:20.400
<v Speaker 4>of talk about there's more freelancers out there, that's what

0:46:20.440 --> 0:46:23.480
<v Speaker 4>people are looking to do more. Is that still growing

0:46:23.520 --> 0:46:25.600
<v Speaker 4>into twenty twenty four or is that cut back? You

0:46:25.640 --> 0:46:26.919
<v Speaker 4>think this year a little cut back.

0:46:27.680 --> 0:46:34.000
<v Speaker 11>So unfortunately, official data on gigwork is not very good,

0:46:34.040 --> 0:46:37.680
<v Speaker 11>and we haven't really been tracking it over over time

0:46:37.920 --> 0:46:40.839
<v Speaker 11>in a consistent way, so it's kind of a bit

0:46:40.880 --> 0:46:42.600
<v Speaker 11>of a black box. It's hard to note. We can

0:46:42.640 --> 0:46:47.520
<v Speaker 11>look at the company's earning statements about how many users

0:46:47.520 --> 0:46:51.040
<v Speaker 11>they have. Look broadly, we do see a lot of

0:46:51.040 --> 0:46:53.839
<v Speaker 11>interest among job seekers on zip recruiter in those kinds

0:46:53.880 --> 0:46:56.319
<v Speaker 11>of gig roles because of the flexibility they offer. There

0:46:56.360 --> 0:46:58.960
<v Speaker 11>are many young people who sort of live from hand

0:46:59.040 --> 0:47:01.920
<v Speaker 11>to mouth and have fun and watch video games and

0:47:01.960 --> 0:47:03.359
<v Speaker 11>do what they want to do. And if they need

0:47:03.440 --> 0:47:05.400
<v Speaker 11>cash and need a buy groceries, need to buy dinner,

0:47:05.440 --> 0:47:08.560
<v Speaker 11>they know, log onto an app and deliver groceries for

0:47:08.600 --> 0:47:10.399
<v Speaker 11>a couple hours and then buy their own and then

0:47:10.440 --> 0:47:12.000
<v Speaker 11>go back to doing what they're doing. That it is

0:47:12.360 --> 0:47:15.720
<v Speaker 11>quite common to work that way these days. That said,

0:47:15.920 --> 0:47:20.399
<v Speaker 11>there's some new research showing that once AI tools chatch

0:47:20.400 --> 0:47:23.759
<v Speaker 11>GVD was launched, generative AI demand for other kinds of

0:47:23.800 --> 0:47:28.480
<v Speaker 11>freelancers started to fall. So interesting, all right, we'll get

0:47:28.480 --> 0:47:29.640
<v Speaker 11>a white collar freelancer.

0:47:29.719 --> 0:47:32.440
<v Speaker 2>Yeah, you just walked across or walk through any local

0:47:32.440 --> 0:47:34.319
<v Speaker 2>coffee shop and I'm like, what are these people doing here?

0:47:34.400 --> 0:47:36.080
<v Speaker 2>You know, they all got to laptops out and they

0:47:36.080 --> 0:47:37.880
<v Speaker 2>look like they're doing something committing value. I don't know.

0:47:38.480 --> 0:47:41.600
<v Speaker 1>Thanks for listening to the Bloomberg Markets Podcast. You can

0:47:41.600 --> 0:47:45.400
<v Speaker 1>subscribe and listen to interviews at Apple Podcasts or whatever

0:47:45.480 --> 0:47:49.200
<v Speaker 1>podcast platform you prefer. I'm Matt Miller. I'm on Twitter

0:47:49.400 --> 0:47:51.319
<v Speaker 1>at Matt Miller nineteen seventy three.

0:47:51.760 --> 0:47:54.160
<v Speaker 2>And I'm Paul Sweeney. I'm on Twitter at pt Sweeney.

0:47:54.280 --> 0:47:56.920
<v Speaker 2>Before the podcast, you can always catch us worldwide at

0:47:56.960 --> 0:47:58.680
<v Speaker 2>Bloomberg Radio